Android Video Streaming

DTIC Science & Technology

2014-05-01

natural choice. In this document, we describe several aspects of video streaming and the challenges of performing video streaming between Android-based...client application was needed. Typically something like VideoLAN Client ( VLC ) is used for this purpose in a desktop environment. However, while VLC is...a very mature application on Windows and Linux, VLC for Android is still in a beta testing phase, and versions have only been developed to work

Monitor Network Traffic with Packet Capture (pcap) on an Android Device

DTIC Science & Technology

2015-09-01

administrative privileges . Under the current design Android development requirement, an Android Graphical User Interface (GUI) application cannot directly...build an Android application to monitor network traffic using open source packet capture (pcap) libraries. 15. SUBJECT TERMS ELIDe, Android , pcap 16...Building Application with Native Codes 5 8.1 Calling Native Codes Using JNI 5 8.2 Calling Native Codes from an Android Application 8 9. Retrieve Live

Rooting an Android Device

DTIC Science & Technology

2015-09-01

Hat Enterprise Linux, version 6.5 • Android Development Tools (ADT), version 22.3.0-887826 • Saferoot1 • Samsung Galaxy S3 • Dell Precision T7400...method used for the Samsung Galaxy S3 is called Saferoot1—a well- known, open- source software. According to the Saferoot website, the process of...is applicable for the Samsung Galaxy S3 as well as many other Android devices, but there are several steps involved in rooting an Android device (as

Development and Use of an EFL Reading Practice Application for an Android Tablet Computer

ERIC Educational Resources Information Center

Ishikawa, Yasushige; Smith, Craig; Kondo, Mutsumi; Akano, Ichiro; Maher, Kate; Wada, Norihisa

2014-01-01

This paper reports on the use of an English-language reading practice application for an Android tablet computer with students who are not native speakers of English. The application materials for vocabulary learning in reading-passage contexts were created to include words from a database of low-frequency and technical noun-verb collocations…

Design and development of a nutritional assessment application for smartphones and tablets with Android OS.

PubMed

Carnero Gregorio, Miguel; Blanco Ramos, Montserrat; Obeso Carillo, Gerardo Andrés; García Fontán, Eva; Álvarez González, Miguel Ángel; Cañizares Carretero, Miguel Ángel

2014-10-03

To design and develop a nutritional application for smartphones and tablets with Android operating system for using to in- and outpatients that need a nutritional assessment. To check the validity of the results of such software. The application was compiled for version 2.1 of the Android operating system from Google. A cohort of 30 patients was included for evaluating the reliability of the application. The calculations were performed by staff of the Nutrition Unit of the Complexo Hospitalario Universitario de Vigo, manually and through e-Nutrimet software on a smartphone and a tablet. Concordance was absolute between results of different methods obtained using e-Nutrimet on a smartphone and a tablet (Fleiss index κ= 1). The same level of concordance was obtained by comparing handmade and e-Nutrimet made results. The degree of correlation is good, and it would be extended to all healthcare staff who wants to determine whether a patient has malnutrition, or not. The nutritional assessment software e-Nutrimet does not replace healthcare staff in any case, but could be an important aid in assessing patients who may be in risk of malnutrition, saving time of evaluation. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.

Development and Use of an EFL Reading Practice Application for an Android Tablet Computer

ERIC Educational Resources Information Center

Ishikawa, Yasushige; Smith, Craig; Kondo, Mutsumi; Akano, Ichiro; Maher, Kate; Wada, Norihisa

2013-01-01

This paper reports on the use of an English-language reading practice application for an android tablet computer operating system with students who are not native speakers of English. The application materials for vocabulary learning in reading-passage contexts were created to include words from a database of low-frequency and technical noun-verb…

Prototype early warning system for heart disease detection using Android Application.

PubMed

Zennifa, Fadilla; Fitrilina; Kamil, Husnil; Iramina, Keiji

2014-01-01

Heart Disease affects approximately 70 million people worldwide where most people do not even know the symptoms. This research examines the prototype of early warning system for heart disease by android application. It aims to facilitate users to early detect heart disease which can be used independently. To build the application in android phone, variable centered intelligence rule system (VCIRS) as decision makers and pulse sensor - Arduino as heart rate detector were applied in this study. Moreover, in Arduino, the heart rate will become an input for symptoms in Android Application. The output of this system is the conclusion statement of users diagnosed with either coronary heart disease, hypertension heart disease, rheumatic heart disease or do not get any kind of heart disease. The result of diagnosis followed by analysis of the value of usage variable rate (VUR) rule usage rate (RUR) and node usage rate (NUR) that shows the value of the rule that will increase when the symptoms frequently appear. This application was compared with the medical analysis from 35 cases of heart disease and it showed concordance between diagnosis from android application and expert diagnosis of the doctors.

Portable electrocardiograph through android application.

PubMed

De Oliveira, Igor H; Cene, V H; Balbinot, A

2015-01-01

An electrocardiograph was designed and implemented, being capable of obtaining electrical signals from the heart, and sending this data via Bluetooth to a tablet, in which the signals are graphically shown. The user interface is developed as an Android application. Because of the technological progress and the increasing use of full portable systems, such as tablets and cell phones, it is important to understand the functioning and development of an application, which provides a basis for conducting studies using this technology as an interface. The project development includes concepts of electronics and its application to achieve a portable and functional final project, besides using a specific programmable integrated circuit for electrocardiogram, electroencephalogram and electromyogram, the ADS1294. Using a simulator of cardiac signals, 36 different waveforms were recorded, including normal sinus rhythm, arrhythmias and artifacts. Simulations include variations of heart rate from 30 to 190 beats per minute (BPM), with variations in peak amplitude of 1 mV to 2 mV. Tests were performed with a subject at rest and in motion, observing the signals obtained and the damage to their interpretation due to the introduction of muscle movement artifacts in motion situations.

Family Expense Manager Application in Android

NASA Astrophysics Data System (ADS)

Rajaprabha, M. N.

2017-11-01

FAMILY EXPENSES MANAGER is an android application. This monitors your own costs, family costs and incidental costs. This resembles a present day costs day book in your versatile. This application helps you to monitor your every day costs, settlement points of interest, general rundown, report in detail and periodic costs subtle elements. Every one of the information is put away in database and can be recovered by the client and their relatives.

Investigating weaknesses in Android certificate security

NASA Astrophysics Data System (ADS)

Krych, Daniel E.; Lange-Maney, Stephen; McDaniel, Patrick; Glodek, William

2015-05-01

Android's application market relies on secure certificate generation to establish trust between applications and their users; yet, cryptography is often not a priority for application developers and many fail to take the necessary security precautions. Indeed, there is cause for concern: several recent high-profile studies have observed a pervasive lack of entropy on Web-systems leading to the factorization of private keys.1 Sufficient entropy, or randomness, is essential to generate secure key pairs and combat predictable key generation. In this paper, we analyze the security of Android certificates. We investigate the entropy present in 550,000 Android application certificates using the Quasilinear GCD finding algorithm.1 Our results show that while the lack of entropy does not appear to be as ubiquitous in the mobile markets as on Web-systems, there is substantial reuse of certificates only one third of the certificates in our dataset were unique. In other words, we find that organizations frequently reuse certificates for different applications. While such a practice is acceptable under Google's specifications for a single developer, we find that in some cases the same certificates are used for a myriad of developers, potentially compromising Android's intended trust relationships. Further, we observed duplicate certificates being used by both malicious and non-malicious applications. The top 3 repeated certificates present in our dataset accounted for a total of 11,438 separate APKs. Of these applications, 451, or roughly 4%, were identified as malicious by antivirus services.

Development and Analysis of Security Policies in Security Enhanced Android

DTIC Science & Technology

2012-12-01

Privilege - Escalation Attacks on Android ,” Proc. 19th Annual...Services, Bethesda, MD, 2011, pp. 239–252. 98 [43] L. Davi, et al. “ Privilege Escalation Attacks on Android ,” Proc. 13th Int. Conf. on Information...TaintDroid. XManDroid dynamically analyzes applications’ transitive permission usage in order to prevent application-level privilege escalation attacks

Android Based Binus Profile Applications as the Marketing Tools of Bina Nusantara University

NASA Astrophysics Data System (ADS)

Iskandar, Karto

2014-03-01

Smart phones with apps in it is not a new phenomenon. Both of technologies have been fused with the lifestyle today. The ease and speed of access to information makes a lot of companies use it in the process of marketing a product to the public. Objective of this action is to win the competition that more competitive. The purpose of this research is to create mobile application android based to assist in the marketing and introduction Bina Nusantara University profile to prospective students. This research method using software engineering waterfall model to produce Android-based mobile applications. The results in the form of Android-based mobile application that can be used as a viral marketing tool for Bina Nusantara University. At the end of this study can be generated that mobile technology can be used as a media for effective marketing and branding, especially for Bina Nusantara University. Android technology based for marketing applications suited to the Bina Nusantara University applicant segment which are generally young people. The future along with the improvement of network quality and affordable cost, then the application can be made online, so features such as chat, maps, and other can be used optimally.

GeoTools: An android phone application in geology

NASA Astrophysics Data System (ADS)

Weng, Yi-Hua; Sun, Fu-Shing; Grigsby, Jeffry D.

2012-07-01

GeoTools is an Android application that can carry out several tasks essential in geological field studies. By employing the accelerometer in the Android phone, the application turns the handset into a pocket transit compass by which users can measure directions, strike and dip of a bedding plane, or trend and plunge of a fold. The application integrates functionalities of photo taking, videotaping, audio recording, and note writing with GPS coordinates to track the location at which each datum was taken. A time-stamped file name is shared by the various types of data taken at the same location. Data collected at different locations are named in a chronological sequence. At the end of each set of operations, GeoTools also automatically generates an XML file to summarize the characteristics of data being collected corresponding to a specific location. In this way, GeoTools allows geologists to use a multimedia approach to document their field observations with a clear data organization scheme in one handy gadget.

Smartphones for Geological Data Collection- an Android Phone Application

NASA Astrophysics Data System (ADS)

Sun, F.; Weng, Y.; Grigsby, J. D.

2010-12-01

Recently, smartphones have attracted great attention in the wireless device market because of their powerful processors, ample memory capacity, advanced connectivity, and numerous utility programs. Considering the prominent new features a smartphone has, such as the large touch screen, speaker, microphone, camera, GPS receiver, accelerometer, and Internet connections, it can serve as a perfect digital aide for data recording on any geological field trip. We have designed and developed an application by using aforementioned features in an Android phone to provide functionalities used in field studies. For example, employing the accelerometer in the Android phone, the application turns the handset into a brunton-like device by which users can measure directions, strike and dip of a bedding plane or trend and plunge of a fold. Our application also includes functionalities of image taking, GPS coordinates tracking, videotaping, audio recording, and note writing. Data recorded from the application are tied together by the time log, which makes the task easy to track all data regarding a specific geologic object. The application pulls the GPS reading from the phone’s built-in GPS receiver and uses it as a spatial index to link up the other type of data, then maps them to the Google Maps/Earth for visualization. In this way, notes, pictures, audio or video recordings to depict the characteristics of the outcrops and their spatial relations, all can be well documented and organized in one handy gadget.

Development of an Android Application in the Form of a Simulation Lab as Learning Media for Senior High School Students

ERIC Educational Resources Information Center

Astra, I Made; Nasbey, Hadi; Nugraha, Aditiya

2015-01-01

The aim of this research is to create learning media for senior high school students through an android application in the form of a simulation lab. The method employed in the study is research and development. A simulation lab which has been made subsequently validated by concept and media experts, further empirical testing by teachers and…

Development of Android Application for Measuring Cardiovascular Endurance Fitness for Military Cadet Officers

NASA Astrophysics Data System (ADS)

Kassim, Mohar; Zaidi, Ahmad Mujahid Ahmad; Sholihin Mokhtar, Rahmat

2018-05-01

Mobile software application has become a part of today’s lifestyle. This mobile app is designed to help society to be physically active. The application is named UPNM Cardio Fitness, and is developed on the Android platform. The original purpose of the application is to measure and analyse the level of cardiovascular fitness of 18 years old male Military cadet Officers through a 2.4 km run test. The application is based on a data base using Google Fusion Table that stores and analyses the data received. The application consists of two parts: information of the individual and their respective fitness norms that can be accessed either automatically or manually. The classification of the norms is obtained from the fitness norms of 120 male cadets aged 18 years old. The norms are grouped into five categories which are: Excellent, Very Good, Good, Moderate and Poor. The software consists of 5 hyperlinks which are the main page, individual information, test result, file and record. The application is created using MIT App Inventor Software and Windows 7. The creation of the application has enabled researchers particularly in the Science Training programme in UPNM to carry out tests as well as to identify the level of fitness of their trainees immediately, accurately, and systematically.

Android application for determining surgical variables in brain-tumor resection procedures.

PubMed

Vijayan, Rohan C; Thompson, Reid C; Chambless, Lola B; Morone, Peter J; He, Le; Clements, Logan W; Griesenauer, Rebekah H; Kang, Hakmook; Miga, Michael I

2017-01-01

The fidelity of image-guided neurosurgical procedures is often compromised due to the mechanical deformations that occur during surgery. In recent work, a framework was developed to predict the extent of this brain shift in brain-tumor resection procedures. The approach uses preoperatively determined surgical variables to predict brain shift and then subsequently corrects the patient's preoperative image volume to more closely match the intraoperative state of the patient's brain. However, a clinical workflow difficulty with the execution of this framework is the preoperative acquisition of surgical variables. To simplify and expedite this process, an Android, Java-based application was developed for tablets to provide neurosurgeons with the ability to manipulate three-dimensional models of the patient's neuroanatomy and determine an expected head orientation, craniotomy size and location, and trajectory to be taken into the tumor. These variables can then be exported for use as inputs to the biomechanical model associated with the correction framework. A multisurgeon, multicase mock trial was conducted to compare the accuracy of the virtual plan to that of a mock physical surgery. It was concluded that the Android application was an accurate, efficient, and timely method for planning surgical variables.

Framework for near-field-communication-based geo-localization and personalization for Android-based smartphones--application in hospital environments.

PubMed

Meng, Philipp; Fehre, Karsten; Rappelsberger, Andrea; Adlassnig, Klaus-Peter

2014-01-01

Various applications using near field communication (NFC) have been developed for the medical sector. As a method of short-range wireless contact-driven data transfer, NFC is a useful tool in medicine. It can be used to transfer data such as blood pressure, control adherence to medication, or transmit in vivo data. The first proposed general framework uses NFC as a mechanism for indoor geo-localization in hospitals. NFC geo-localization is economical compared to classical concepts using indoor GPS or WLAN triangulation, and the granularity of location retrieval can be defined at a tag level. Using this framework, we facilitate the development of medical applications that require exact indoor geo-localization. Multi-user Android systems are addressed in the second framework. Using private NFC tags, users are able to carry on their personal settings for enabled applications. This eliminates the need for multiple user accounts on common Android devices, improves usability, and eases technical administration. Based on the prototypes presented here, we show a novel concept of using NFC-enabled Android devices in hospital environments.

Learning Application of Astronomy Based Augmented Reality using Android Platform

NASA Astrophysics Data System (ADS)

Maleke, B.; Paseru, D.; Padang, R.

2018-02-01

Astronomy is a branch of science involving observations of celestial bodies such as stars, planets, nebular comets, star clusters, and galaxies as well as natural phenomena occurring outside the Earth’s atmosphere. The way of learning of Astronomy is quite varied, such as by using a book or observe directly with a telescope. But both ways of learning have shortcomings, for example learning through books is only presented in the form of interesting 2D drawings. While learning with a telescope requires a fairly expensive cost to buy the equipment. This study will present a more interesting way of learning from the previous one, namely through Augmented Reality (AR) application using Android platform. Augmented Reality is a combination of virtual world (virtual) and real world (real) made by computer. Virtual objects can be text, animation, 3D models or videos that are combined with the actual environment so that the user feels the virtual object is in his environment. With the use of the Android platform, this application makes the learning method more interesting because it can be used on various Android smartphones so that learning can be done anytime and anywhere. The methodology used in making applications is Multimedia Lifecycle, along with C # language for AR programming and flowchart as a modelling tool. The results of research on some users stated that this application can run well and can be used as an alternative way of learning Astronomy with more interesting.

Android: Call C Functions with the Native Development Kit (NDK)

DTIC Science & Technology

2016-09-01

guide is intended to assist programmers with how to attach an NDK plugin to an Android Integrated Development Environment and how to call C functions...written in Java to interact with native C/C++. This guide is intended to take programmers through adding an NDK package into an Android Studio

Android application for determining surgical variables in brain-tumor resection procedures

PubMed Central

Vijayan, Rohan C.; Thompson, Reid C.; Chambless, Lola B.; Morone, Peter J.; He, Le; Clements, Logan W.; Griesenauer, Rebekah H.; Kang, Hakmook; Miga, Michael I.

2017-01-01

Abstract. The fidelity of image-guided neurosurgical procedures is often compromised due to the mechanical deformations that occur during surgery. In recent work, a framework was developed to predict the extent of this brain shift in brain-tumor resection procedures. The approach uses preoperatively determined surgical variables to predict brain shift and then subsequently corrects the patient’s preoperative image volume to more closely match the intraoperative state of the patient’s brain. However, a clinical workflow difficulty with the execution of this framework is the preoperative acquisition of surgical variables. To simplify and expedite this process, an Android, Java-based application was developed for tablets to provide neurosurgeons with the ability to manipulate three-dimensional models of the patient’s neuroanatomy and determine an expected head orientation, craniotomy size and location, and trajectory to be taken into the tumor. These variables can then be exported for use as inputs to the biomechanical model associated with the correction framework. A multisurgeon, multicase mock trial was conducted to compare the accuracy of the virtual plan to that of a mock physical surgery. It was concluded that the Android application was an accurate, efficient, and timely method for planning surgical variables. PMID:28331887

Virtual Physics Laboratory Application Based on the Android Smartphone to Improve Learning Independence and Conceptual Understanding

ERIC Educational Resources Information Center

Arista, Fitra Suci; Kuswanto, Heru

2018-01-01

The research study concerned here was to: (1) produce a virtual physics laboratory application to be called ViPhyLab by using the Android smartphone as basis; (2) determine the appropriateness and quality of the virtual physics laboratory application that had been developed; and (3) describe the improvement in learning independence and conceptual…

[Temperature Measurement with Bluetooth under Android Platform].

PubMed

Wang, Shuai; Shen, Hao; Luo, Changze

2015-03-01

To realize the real-time transmission of temperature data and display using the platform of intelligent mobile phone and bluetooth. Application of Arduino Uno R3 in temperature data acquisition of digital temperature sensor DS18B20 acquisition, through the HC-05 bluetooth transmits the data to the intelligent smart phone Android system, realizes transmission of temperature data. Using Java language to write applications program under Android development environment, can achieve real-time temperature data display, storage and drawing temperature fluctuations drawn graphics. Temperature sensor is experimentally tested to meet the body temperature measurement precision and accuracy. This paper can provide a reference for other smart phone mobile medical product development.

Mobile PHRs compliance with Android and iOS usability guidelines.

PubMed

Cruz Zapata, Belén; Hernández Niñirola, Antonio; Idri, Ali; Fernández-Alemán, José Luis; Toval, Ambrosio

2014-08-01

Mobile Personal Health Records (PHRs) have achieved a particularly strong market share since the appearance of more powerful mobile devices and popular worldwide mobile application markets such as Apple's App Store and Android's Google Play. However, Android and Apple have a set of recommendations on design and usability targeted towards developers who wish to publish apps in their stores: Android Design Guidelines and iOS Human Interface Guidelines. This paper aims to evaluate compliance with these guidelines by assessing the usability recommendations of a set of 24 selected mobile PHR applications. An analysis process based on a well-known Systematic Literature Review (SLR) protocol was used. The results show that the 24 mobile PHR applications studied are not suitably structured. 46 % of these applications do not use any of the recommended patterns, using instead lists or springboards, which are deprecated patterns for top-level menus. 70 % of the PHRs require a registration to be able to test the application when these interactions should be delayed. Our study will help both PHR users to select user-friendly mobile PHRs and PHR providers and developers to identify the good usability practices implemented by the applications with the highest scores.

A5: Automated Analysis of Adversarial Android Applications

DTIC Science & Technology

2014-06-03

algorithm is fairly intuitive. First, A5 invokes the DED [11] decompiler to create Java classes from the Android application code. Next, A5 uses Soot [30...implemented such as Bluetooth, Wi-Fi, sensors , etc. These hardware features are very common in physical devices and are simply not present in the...such as Androguard [1] and Soot [30]. Deficiencies in these tools may also manifest in A5. The bytecode static analysis is limited to finding only

An Android malware detection system based on machine learning

NASA Astrophysics Data System (ADS)

Wen, Long; Yu, Haiyang

2017-08-01

The Android smartphone, with its open source character and excellent performance, has attracted many users. However, the convenience of the Android platform also has motivated the development of malware. The traditional method which detects the malware based on the signature is unable to detect unknown applications. The article proposes a machine learning-based lightweight system that is capable of identifying malware on Android devices. In this system we extract features based on the static analysis and the dynamitic analysis, then a new feature selection approach based on principle component analysis (PCA) and relief are presented in the article to decrease the dimensions of the features. After that, a model will be constructed with support vector machine (SVM) for classification. Experimental results show that our system provides an effective method in Android malware detection.

E-Learning Application of Tarsier with Virtual Reality using Android Platform

NASA Astrophysics Data System (ADS)

Oroh, H. N.; Munir, R.; Paseru, D.

2017-01-01

Spectral Tarsier is a primitive primate that can only be found in the province of North Sulawesi. To study these primates can be used an e-learning application with Augmented Reality technology that uses a marker to confronted the camera computer to interact with three dimensions Tarsier object. But that application only shows tarsier object in three dimensions without habitat and requires a lot of resources because it runs on a Personal Computer. The same technology can be shown three dimensions’ objects is Virtual Reality to excess can make the user like venturing into the virtual world with Android platform that requires fewer resources. So, put on Virtual Reality technology using the Android platform that can make users not only to view and interact with the tarsiers but also the habitat. The results of this research indicate that the user can learn the Tarsier and habitat with good. Thus, the use of Virtual Reality technology in the e-learning application of tarsiers can help people to see, know, and learn about Spectral Tarsier.

Developing android-based science instructional media to improve scientific literacy of junior high school students

NASA Astrophysics Data System (ADS)

Farida, I. I.; Jumadi; Wilujeng; Senam

2018-04-01

The aims of this study are: to develop android-based science instructional media and to reveal the characteristic, the quality, and the effectiveness of android-based science instructional media with global warming topic to increase junior high school students’ scientific literacy. This study is a development research. The instructional media were reviewed by a media expert, a material expert, science teachers, peer reviewers, and students. The data was collected using media evaluation questionnaires. The results of the study showed that: (1) the android-based science instructional media has characteristics including interesting visualization, easy to use, flexible, and practical, (2) the android-based science instructional media was appropriate for teaching, in terms of material evaluation aspects, media evaluation aspects, and based on student test results, and (3) the android-based science instructional media can effectively used for teaching.

AthenaTV: an authoring tool of educational applications for TV using android-based interface design patterns

NASA Astrophysics Data System (ADS)

Vásquez-Ramírez, Raquel; Alor-Hernández, Giner; Sánchez-Ramírez, Cuauhtémoc; Guzmán-Luna, Jaime; Zatarain-Cabada, Ramón; Barrón-Estrada, María-Lucía

2014-07-01

Education has become a key component of any society since it is the means by which humanity functions and governs itself. It allows individuals to appropriately integrate into a given community. For this reason, new ways of interaction between students and educational contents are emerging in order to improve the quality of education. In this context, devices such as computers, smartphones, or electronic tablets represent new ways of accessing educational resources which do not limit students to their usage merely inside the classroom since these devices are available anywhere. Nowadays, television has become one of these technological tools able to support the teaching-learning process through documentary films or movies, among others. However, two main issues appear. First, some of these educational contents are not those needed by a professor since information is restricted, and second, the development of TV-based applications requires an integrative approach involving the support of several specialists in education who provide the guidelines needed to build high-quality contents, as well as application designers and developers who are able to deliver the educational applications demanded by students. This work presents a system called AthenaTV to generate android-based educational applications for TV. AthenaTV takes into account the 10-foot design scheme used by Google to develop interfaces based on interface design patterns established in Google TV, and it is based on the android development guidelines and HTML5 standard.

Android application for handwriting segmentation using PerTOHS theory

NASA Astrophysics Data System (ADS)

Akouaydi, Hanen; Njah, Sourour; Alimi, Adel M.

2017-03-01

The paper handles the problem of segmentation of handwriting on mobile devices. Many applications have been developed in order to facilitate the recognition of handwriting and to skip the limited numbers of keys in keyboards and try to introduce a space of drawing for writing instead of using keyboards. In this one, we will present a mobile theory for the segmentation of for handwriting uses PerTOHS theory, Perceptual Theory of On line Handwriting Segmentation, where handwriting is defined as a sequence of elementary and perceptual codes. In fact, the theory analyzes the written script and tries to learn the handwriting visual codes features in order to generate new ones via the generated perceptual sequences. To get this classification we try to apply the Beta-elliptic model, fuzzy detector and also genetic algorithms in order to get the EPCs (Elementary Perceptual Codes) and GPCs (Global Perceptual Codes) that composed the script. So, we will present our Android application M-PerTOHS for segmentation of handwriting.

Android Based Area Web Monitoring

NASA Astrophysics Data System (ADS)

Kanigoro, Bayu; Galih Salman, Afan; Moniaga, Jurike V.; Chandra, Eric; Rezky Chandra, Zein

2014-03-01

The research objective is to develop an application that can be used in the monitoring of an area by using a webcam. It aims to create a sense of security on the user's application because it can monitor an area using mobile phone anywhere. The results obtained in this study is to create an area with a webcam monitoring application that can be accessed anywhere as long as the monitoring results have internet access and can also be accessed through Android Based Mobile Phone.

An application of traveling salesman problem using the improved genetic algorithm on android google maps

NASA Astrophysics Data System (ADS)

Narwadi, Teguh; Subiyanto

2017-03-01

The Travelling Salesman Problem (TSP) is one of the best known NP-hard problems, which means that no exact algorithm to solve it in polynomial time. This paper present a new variant application genetic algorithm approach with a local search technique has been developed to solve the TSP. For the local search technique, an iterative hill climbing method has been used. The system is implemented on the Android OS because android is now widely used around the world and it is mobile system. It is also integrated with Google API that can to get the geographical location and the distance of the cities, and displays the route. Therefore, we do some experimentation to test the behavior of the application. To test the effectiveness of the application of hybrid genetic algorithm (HGA) is compare with the application of simple GA in 5 sample from the cities in Central Java, Indonesia with different numbers of cities. According to the experiment results obtained that in the average solution HGA shows in 5 tests out of 5 (100%) is better than simple GA. The results have shown that the hybrid genetic algorithm outperforms the genetic algorithm especially in the case with the problem higher complexity.

Help Me Please!: Designing and Developing Application for Emergencies

NASA Astrophysics Data System (ADS)

Hong, Ng Ken; Hafit, Hanayanti; Wahid, Norfaradilla; Kasim, Shahreen; Yusof, Munirah Mohd

2017-08-01

Help Me Please! Application is an android platform emergency button application that is designed to transmit emergency messages to target receivers with real time information. The purpose of developing this application is to help people to notify any emergency circumstances via Short Message Service (SMS) in android platform. The application will receive the current location from Global Positioning System (GPS), will obtain the current time from the mobile device and send this information to the receivers when user presses the emergency button. Simultaneously, the application will keep sending the emergency alerts to receivers and will update to database based on the time interval set by user until user stop the function. Object-oriented Software Development model is employed to guide the development of this application with the knowledge of Java language and Android Studio. In conclusion, this application plays an important role in rescuing process when emergency circumstances happen. The rescue process will become more effective by notifying the emergency circumstances and send the current location of user to others in the early hours.

An Android Communication App Forensic Taxonomy.

PubMed

Azfar, Abdullah; Choo, Kim-Kwang Raymond; Liu, Lin

2016-09-01

Due to the popularity of Android devices and applications (apps), Android forensics is one of the most studied topics within mobile forensics. Communication apps, such as instant messaging and Voice over IP (VoIP), are one popular app category used by mobile device users, including criminals. Therefore, a taxonomy outlining artifacts of forensic interest involving the use of Android communication apps will facilitate the timely collection and analysis of evidentiary materials from such apps. In this paper, 30 popular Android communication apps were examined, where a logical extraction of the Android phone images was collected using XRY, a widely used mobile forensic tool. Various information of forensic interest, such as contact lists and chronology of messages, was recovered. Based on the findings, a two-dimensional taxonomy of the forensic artifacts of the communication apps is proposed, with the app categories in one dimension and the classes of artifacts in the other dimension. Finally, the artifacts identified in the study of the 30 communication apps are summarized using the taxonomy. It is expected that the proposed taxonomy and the forensic findings in this paper will assist forensic investigations involving Android communication apps. © 2016 American Academy of Forensic Sciences.

Applang - A DSL for specification of mobile applications for android platform based on textX

NASA Astrophysics Data System (ADS)

Kosanović, Milan; Dejanović, Igor; Milosavljević, Gordana

2016-06-01

Mobile platforms become a ubiquitous part of our daily lives thus making more pressure to software developers to develop more applications faster and with the support for different mobile operating systems. To foster the faster development of mobile services and applications and to support various mobile operating systems a new software development approaches must be undertaken. Domain-Specific Languages (DSL) are a viable approach that promise to solve a problem of target platform diversity as well as to facilitate rapid application development and shorter time-to-market. This paper presents Applang, a DSL for the specification of mobile applications for the Android platform, based on textX meta-language. The application is described using Applang DSL and the source code for a target platform is automatically generated by the provided code generator. The same application defined using single Applang source can be transformed to various targets with little or no manual modifications.

Android worksheet application based on discovery learning on students' achievement for vocational high school: Mechanical behavior of materials topics

NASA Astrophysics Data System (ADS)

Nanto, Dwi; Aini, Anisa Nurul; Mulhayatiah, Diah

2017-05-01

This research reports a study of student worksheet based on discovery learning on Mechanical Behavior of Materials topics under Android application (Android worksheet application) for vocational high school. The samples are Architecture class X students of SMKN 4 (a public vocational high school) in Tangerang Selatan City, province of Banten, Indonesia. We made 3 groups based on Intellectual Quotient (IQ). They are average IQ group, middle IQ group and high IQ group. The method of research is used as a quasi-experimental design with nonequivalent control group design. The technique of sampling is purposive sampling. Instruments used in this research are test instruments and non-test instruments. The test instruments are IQ test and test of student's achievement. For the test of student's achievement (pretest and posttest) we provide 25 multiple choice problems. The non-test instruments are questionnaire responses by the students and the teacher. Without IQ categorized, the result showed that there is an effect of Android worksheet application on student's achievement based on cognitive aspects of Revised Bloom's Taxonomy. However, from the IQ groups point of view, only the middle IQ group and the high IQ group showed a significant effect from the Android worksheet application on student's achievement meanwhile for the average IQ group there was no effect.

Processable Data Making in the Remote Server Sent by Android Phone as a GIS Data Collecting Tool

NASA Astrophysics Data System (ADS)

Karaagac, Abdullah; Bostancı, Bulent

2016-04-01

Mobile technologies are improving and getting cheaper everyday. Not only smart phones are improved much but also new types of mobile applications and sensors come with the smart phone together. Maps and navigation applications one of the most popular types of applications on these types. Most of these applications uses location services including GNSS, Wi Fi, cellular data and beacon services. Although these coordinate precision not very high, it is appropriate for many applications to utilize. Android is a mobile operating system based on Linux Kernel. It is compatible for varies mobile devices like smart phones, tablets, smart TV's, wearable technologies etc. Android has large capability for application development by using the open source libraries and device sensors like gyroscope, GNSS etc. Android Studio is the most popular integrated development environment (IDE) for Android devices, mainly developing by Google. It had been announced on May 16, 2013 at Google I/O conference. Android Studio is built upon Gradle architecture which is written in Java language. SQLite is a relational database operating system which has so common usage for mobile devices. It developed by using C programming library. It is mostly used via embedding into a software or application. It supports many operating systems including Android. Remote servers can be in several forms from high complexity to simplicity. For this project we will use a open source quad core board computer named Raspberry Pi 2. This device includes 900 MHz ARMv7 compatible quad core CPU, VideoCore IV GPU and 1 GB RAM. Although Raspberry Pi 2's main operating system is Raspbian, we use Debian which are both Linux based operating systems. Raspberry is compatible for many programming language, however some languages are optimized for this device. These are Python, Java, C, C++, Ruby, Perl and Squeak Smalltalk. In this paper, a mobile application will be developed to send coordinate and string data to a SQL database

DARKDROID: Exposing the Dark Side of Android Marketplaces

DTIC Science & Technology

2016-06-01

Moreover, our approaches can detect apps containing both intentional and unintentional vulnerabilities, such as unsafe code loading mechanisms and...Security, Static Analysis, Dynamic Analysis, Malware Detection , Vulnerability Scanning 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT UU 18...applications in a DoD context. ................... 1 1.2.2 Develop sophisticated whole-system static analyses to detect malicious Android applications

Space Images for NASA JPL Android Version

NASA Technical Reports Server (NTRS)

Nelson, Jon D.; Gutheinz, Sandy C.; Strom, Joshua R.; Arca, Jeremy M.; Perez, Martin; Boggs, Karen; Stanboli, Alice

2013-01-01

This software addresses the demand for easily accessible NASA JPL images and videos by providing a user friendly and simple graphical user interface that can be run via the Android platform from any location where Internet connection is available. This app is complementary to the iPhone version of the application. A backend infrastructure stores, tracks, and retrieves space images from the JPL Photojournal and Institutional Communications Web server, and catalogs the information into a streamlined rating infrastructure. This system consists of four distinguishing components: image repository, database, server-side logic, and Android mobile application. The image repository contains images from various JPL flight projects. The database stores the image information as well as the user rating. The server-side logic retrieves the image information from the database and categorizes each image for display. The Android mobile application is an interfacing delivery system that retrieves the image information from the server for each Android mobile device user. Also created is a reporting and tracking system for charting and monitoring usage. Unlike other Android mobile image applications, this system uses the latest emerging technologies to produce image listings based directly on user input. This allows for countless combinations of images returned. The backend infrastructure uses industry-standard coding and database methods, enabling future software improvement and technology updates. The flexibility of the system design framework permits multiple levels of display possibilities and provides integration capabilities. Unique features of the software include image/video retrieval from a selected set of categories, image Web links that can be shared among e-mail users, sharing to Facebook/Twitter, marking as user's favorites, and image metadata searchable for instant results.

A Smart Voltage and Current Monitoring System for Three Phase Inverters Using an Android Smartphone Application

PubMed Central

Mnati, Mohannad Jabbar; Van den Bossche, Alex; Chisab, Raad Farhood

2017-01-01

In this paper, a new smart voltage and current monitoring system (SVCMS) technique is proposed. It monitors a three phase electrical system using an Arduino platform as a microcontroller to read the voltage and current from sensors and then wirelessly send the measured data to monitor the results using a new Android application. The integrated SVCMS design uses an Arduino Nano V3.0 as the microcontroller to measure the results from three voltage and three current sensors and then send this data, after calculation, to the Android smartphone device of an end user using Bluetooth HC-05. The Arduino Nano V3.0 controller and Bluetooth HC-05 are a cheap microcontroller and wireless device, respectively. The new Android smartphone application that monitors the voltage and current measurements uses the open source MIT App Inventor 2 software. It allows for monitoring some elementary fundamental voltage power quality properties. An effort has been made to investigate what is possible using available off-the-shelf components and open source software. PMID:28420132

A Smart Voltage and Current Monitoring System for Three Phase Inverters Using an Android Smartphone Application.

PubMed

Mnati, Mohannad Jabbar; Van den Bossche, Alex; Chisab, Raad Farhood

2017-04-15

In this paper, a new smart voltage and current monitoring system (SVCMS) technique is proposed. It monitors a three phase electrical system using an Arduino platform as a microcontroller to read the voltage and current from sensors and then wirelessly send the measured data to monitor the results using a new Android application. The integrated SVCMS design uses an Arduino Nano V3.0 as the microcontroller to measure the results from three voltage and three current sensors and then send this data, after calculation, to the Android smartphone device of an end user using Bluetooth HC-05. The Arduino Nano V3.0 controller and Bluetooth HC-05 are a cheap microcontroller and wireless device, respectively. The new Android smartphone application that monitors the voltage and current measurements uses the open source MIT App Inventor 2 software. It allows for monitoring some elementary fundamental voltage power quality properties. An effort has been made to investigate what is possible using available off-the-shelf components and open source software.

Open Source Dataturbine (OSDT) Android Sensorpod in Environmental Observing Systems

NASA Astrophysics Data System (ADS)

Fountain, T. R.; Shin, P.; Tilak, S.; Trinh, T.; Smith, J.; Kram, S.

2014-12-01

The OSDT Android SensorPod is a custom-designed mobile computing platform for assembling wireless sensor networks for environmental monitoring applications. Funded by an award from the Gordon and Betty Moore Foundation, the OSDT SensorPod represents a significant technological advance in the application of mobile and cloud computing technologies to near-real-time applications in environmental science, natural resources management, and disaster response and recovery. It provides a modular architecture based on open standards and open-source software that allows system developers to align their projects with industry best practices and technology trends, while avoiding commercial vendor lock-in to expensive proprietary software and hardware systems. The integration of mobile and cloud-computing infrastructure represents a disruptive technology in the field of environmental science, since basic assumptions about technology requirements are now open to revision, e.g., the roles of special purpose data loggers and dedicated site infrastructure. The OSDT Android SensorPod was designed with these considerations in mind, and the resulting system exhibits the following characteristics - it is flexible, efficient and robust. The system was developed and tested in the three science applications: 1) a fresh water limnology deployment in Wisconsin, 2) a near coastal marine science deployment at the UCSD Scripps Pier, and 3) a terrestrial ecological deployment in the mountains of Taiwan. As part of a public education and outreach effort, a Facebook page with daily ocean pH measurements from the UCSD Scripps pier was developed. Wireless sensor networks and the virtualization of data and network services is the future of environmental science infrastructure. The OSDT Android SensorPod was designed and developed to harness these new technology developments for environmental monitoring applications.

The Emerging Wireless Body Area Network on Android Smartphones: A Review

NASA Astrophysics Data System (ADS)

Puspitaningayu, P.; Widodo, A.; Yundra, E.

2018-01-01

Our society now has driven us into an era where almost everything can be digitally monitored and controlled including the human body. The growth of wireless body area network (WBAN), as a specific scope of sensor networks which mounted or attached to human body also developing rapidly. It allows people to monitor their health and several daily activities. This study is intended to review the trend of WBAN especially on Android, one of the most popular smartphone platforms. A systematic literature review is concerned to the following parameters: the purpose of the device and/or application, the type of sensors, the type of Android device, and its connectivity. Most of the studies were more concern to healthcare or medical monitoring systems: blood pressure, electro cardiograph, tremor detection, etc. On the other hand, the rest of them aimed for activity tracker, environment sensing, and epidemic control. After all, those studies shown that not only Android can be a powerful platform to process data from various sensors but also smartphones can be a good alternative to develop WBANs for medical and other daily applications.

Evaluating the human likeness of an android by comparing gaze behaviors elicited by the android and a person

PubMed Central

MINATO, TAKASHI; SHIMADA, MICHIHIRO; ITAKURA, SHOJI; LEE, KANG; ISHIGURO, HIROSHI

2008-01-01

Our research goal is to discover the principles underlying natural communication among individuals and to establish a methodology for the development of expressive humanoid robots. For this purpose we have developed androids that closely resemble human beings. The androids enable us to investigate a number of phenomena related to human interaction that could not otherwise be investigated with mechanical-looking robots. This is because more human-like devices are in a better position to elicit the kinds of responses that people direct toward each other. Moreover, we cannot ignore the role of appearance in giving us a subjective impression of human presence or intelligence. However, this impression is influenced by behavior and the complex relationship between appearance and behavior. This paper proposes a hypothesis about how appearance and behavior are related, and maps out a plan for android research to investigate this hypothesis. We then examine a study that evaluates the human likeness of androids according to the gaze behavior they elicit. Studies such as these, which integrate the development of androids with the investigation of human behavior, constitute a new research area that fuses engineering and science. PMID:18985174

Installing the ARL Phrase Book Android Application and Configuring its Dependencies

DTIC Science & Technology

2015-02-01

device and configuring several additional applications required by the Phrase Book. 15. SUBJECT TERMS Android, Phrase Book, Domain Translator, Festival ...CMU] Festival Light Dari Text-to-Speech [TTS] Engine, the Dari/Pashto soft keyboard2) were integrated into the Phrase Book for additional capability...apps (as APK files): • Dari and Pashto AnySoftKeyboards. Delivered as a 94-KB AnySoftKeyboardLanguagePackPashto.apk. • Festival Lite (Flite) TTS

Development and Evaluation of Educational Android Application

ERIC Educational Resources Information Center

Kocakoyun, Senay; Bicen, Huseyin

2017-01-01

In this study, a mobile application was developed for courses at undergraduate level. The application has not only been developed and used, but has also been used practically for 8 weeks. In other words, the findings are based on a practical experience rather than a theoretical basis. This study aimed to determine the opinions of students who…

Development and preliminary evaluation of an Android based heart rate variability biofeedback system.

PubMed

Abtahi, F; Berndtsson, A; Abtahi, S; Seoane, F; Lindecrantz, K

2014-01-01

The reduced Heart Rate Variability (HRV) is believed to be associated with several diseases such as congestive heart failure, diabetes and chronic kidney diseases (CKD). In these cases, HRV biofeedback may be a potential intervention method to increase HRV which in turn is beneficial to these patients. In this work, a real-time Android biofeedback application based on a Bluetooth enabled ECG and thoracic electrical bioimpedance (respiration) measurement device has been developed. The system performance and usability have been evaluated in a brief study with eight healthy volunteers. The result demonstrates real-time performance of system and positive effects of biofeedback training session by increased HRV and reduced heart rate. Further development of the application and training protocol is ongoing to investigate duration of training session to find an optimum length and interval of biofeedback sessions to use in potential interventions.

Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets

DTIC Science & Technology

2015-03-01

privileged task for an application without permissions. The Epicc [3] tool precisely analyzes inter-app communication in Android . By looking at intents...security. By placing adjustable limitations on what resources applications can use, Android allows users a large degree of control over how much trust...the user’s location, contacts, and other personal details. One of the core assumptions of the Android permission system is that an application that

Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets

DTIC Science & Technology

2015-03-31

privileged task for an application without permissions. The Epicc [3] tool precisely analyzes inter-app communication in Android . By looking at intents...security. By placing adjustable limitations on what resources applications can use, Android allows users a large degree of control over how much trust...the user’s location, contacts, and other personal details. One of the core assumptions of the Android permission system is that an application that

Making DidFail Succeed: Enhancing the CERT Static Taint Analyzer for Android App Sets

DTIC Science & Technology

2015-03-01

limitations on what resources applications can use, Android allows users a large degree of control over how much trust should be given to specific...and other personal details. One of the core assumptions of the Android permission system is that an application that lacks permission to access a...the Android permission system is well suited for controlling access for applications in isolation, it can fail to protect resources on the device

Development of Portable Automatic Number Plate Recognition System on Android Mobile Phone

NASA Astrophysics Data System (ADS)

Mutholib, Abdul; Gunawan, Teddy S.; Chebil, Jalel; Kartiwi, Mira

2013-12-01

The Automatic Number Plate Recognition (ANPR) System has performed as the main role in various access control and security, such as: tracking of stolen vehicles, traffic violations (speed trap) and parking management system. In this paper, the portable ANPR implemented on android mobile phone is presented. The main challenges in mobile application are including higher coding efficiency, reduced computational complexity, and improved flexibility. Significance efforts are being explored to find suitable and adaptive algorithm for implementation of ANPR on mobile phone. ANPR system for mobile phone need to be optimize due to its limited CPU and memory resources, its ability for geo-tagging image captured using GPS coordinates and its ability to access online database to store the vehicle's information. In this paper, the design of portable ANPR on android mobile phone will be described as follows. First, the graphical user interface (GUI) for capturing image using built-in camera was developed to acquire vehicle plate number in Malaysia. Second, the preprocessing of raw image was done using contrast enhancement. Next, character segmentation using fixed pitch and an optical character recognition (OCR) using neural network were utilized to extract texts and numbers. Both character segmentation and OCR were using Tesseract library from Google Inc. The proposed portable ANPR algorithm was implemented and simulated using Android SDK on a computer. Based on the experimental results, the proposed system can effectively recognize the license plate number at 90.86%. The required processing time to recognize a license plate is only 2 seconds on average. The result is consider good in comparison with the results obtained from previous system that was processed in a desktop PC with the range of result from 91.59% to 98% recognition rate and 0.284 second to 1.5 seconds recognition time.

Mobile/android application for QRS detection using zero cross method

NASA Astrophysics Data System (ADS)

Rizqyawan, M. I.; Simbolon, A. I.; Suhendra, M. A.; Amri, M. F.; Kusumandari, D. E.

2018-03-01

In automatic ECG signal processing, one of the main topics of research is QRS complex detection. Detecting correct QRS complex or R peak is important since it is used to measure several other ECG metrics. One of the robust methods for QRS detection is Zero Cross method. This method uses an addition of high-frequency signal and zero crossing count to detect QRS complex which has a low-frequency oscillation. This paper presents an application of QRS detection using Zero Cross algorithm in the Android-based system. The performance of the algorithm in the mobile environment is measured. The result shows that this method is suitable for real-time QRS detection in a mobile application.

Understanding of Android-Based Robotic and Game Structure

NASA Astrophysics Data System (ADS)

Phongtraychack, A.; Syryamkin, V.

2018-05-01

The development of an android with impressive lifelike appearance and behavior has been a long-standing goal in robotics and a new and exciting approach of smartphone-based robotics for research and education. Recent years have been progressive for many technologies, which allowed creating such androids. There are different examples including the autonomous Erica android system capable of conversational interaction and speech synthesis technologies. The behavior of Android-based robot could be running on the phone as the robot performed a task outdoors. In this paper, we present an overview and understanding of the platform of Android-based robotic and game structure for research and education.

Wind turbine remote control using Android devices

NASA Astrophysics Data System (ADS)

Rat, C. L.; Panoiu, M.

2018-01-01

This paper describes the remote control of a wind turbine system over the internet using an Android device, namely a tablet or a smartphone. The wind turbine workstation contains a LabVIEW program which monitors the entire wind turbine energy conversion system (WECS). The Android device connects to the LabVIEW application, working as a remote interface to the wind turbine. The communication between the devices needs to be secured because it takes place over the internet. Hence, the data are encrypted before being sent through the network. The scope was the design of remote control software capable of visualizing real-time wind turbine data through a secure connection. Since the WECS is fully automated and no full-time human operator exists, unattended access to the turbine workstation is needed. Therefore the device must not require any confirmation or permission from the computer operator in order to control it. Another condition is that Android application does not have any root requirements.

MixDroid: A multi-features and multi-classifiers bagging system for Android malware detection

NASA Astrophysics Data System (ADS)

Huang, Weiqing; Hou, Erhang; Zheng, Liang; Feng, Weimiao

2018-05-01

In the past decade, Android platform has rapidly taken over the mobile market for its superior convenience and open source characteristics. However, with the popularity of Android, malwares targeting on Android devices are increasing rapidly, while the conventional rule-based and expert-experienced approaches are no longer able to handle such explosive growth. In this paper, combining with the theory of natural language processing and machine learning, we not only implement the basic feature extraction of permission application features, but also propose two innovative schemes of feature extraction: Dalvik opcode features and malicious code image, and implement an automatic Android malware detection system MixDroid which is based on multi-features and multi-classifiers. According to our experiment results on 20,000 Android applications, detection accuracy of MixDroid is 98.1%, which proves our schemes' effectiveness in Android malware detection.

Environment Modeling Using Runtime Values for JPF-Android

NASA Technical Reports Server (NTRS)

van der Merwe, Heila; Tkachuk, Oksana; Nel, Seal; van der Merwe, Brink; Visser, Willem

2015-01-01

Software applications are developed to be executed in a specific environment. This environment includes external native libraries to add functionality to the application and drivers to fire the application execution. For testing and verification, the environment of an application is simplified abstracted using models or stubs. Empty stubs, returning default values, are simple to generate automatically, but they do not perform well when the application expects specific return values. Symbolic execution is used to find input parameters for drivers and return values for library stubs, but it struggles to detect the values of complex objects. In this work-in-progress paper, we explore an approach to generate drivers and stubs based on values collected during runtime instead of using default values. Entry-points and methods that need to be modeled are instrumented to log their parameters and return values. The instrumented applications are then executed using a driver and instrumented libraries. The values collected during runtime are used to generate driver and stub values on- the-fly that improve coverage during verification by enabling the execution of code that previously crashed or was missed. We are implementing this approach to improve the environment model of JPF-Android, our model checking and analysis tool for Android applications.

Medical applications: a database and characterization of apps in Apple iOS and Android platforms.

PubMed

Seabrook, Heather J; Stromer, Julie N; Shevkenek, Cole; Bharwani, Aleem; de Grood, Jill; Ghali, William A

2014-08-27

Medical applications (apps) for smart phones and tablet computers are growing in number and are commonly used in healthcare. In this context, there is a need for a diverse community of app users, medical researchers, and app developers to better understand the app landscape. In mid-2012, we undertook an environmental scan and classification of the medical app landscape in the two dominant platforms by searching the medical category of the Apple iTunes and Google Play app download sites. We identified target audiences, functions, costs and content themes using app descriptions and captured these data in a database. We only included apps released or updated between October 1, 2011 and May 31, 2012, with a primary "medical" app store categorization, in English, that contained health or medical content. Our sample of Android apps was limited to the most popular apps in the medical category. Our final sample of Apple iOS (n = 4561) and Android (n = 293) apps illustrate a diverse medical app landscape. The proportion of Apple iOS apps for the public (35%) and for physicians (36%) is similar. Few Apple iOS apps specifically target nurses (3%). Within the Android apps, those targeting the public dominated in our sample (51%). The distribution of app functions is similar in both platforms with reference being the most common function. Most app functions and content themes vary considerably by target audience. Social media apps are more common for patients and the public, while conference apps target physicians. We characterized existing medical apps and illustrated their diversity in terms of target audience, main functions, cost and healthcare topic. The resulting app database is a resource for app users, app developers and health informatics researchers.

An Offline-Online Android Application for Hazard Event Mapping Using WebGIS Open Source Technologies

NASA Astrophysics Data System (ADS)

Olyazadeh, Roya; Jaboyedoff, Michel; Sudmeier-Rieux, Karen; Derron, Marc-Henri; Devkota, Sanjaya

2016-04-01

Nowadays, Free and Open Source Software (FOSS) plays an important role in better understanding and managing disaster risk reduction around the world. National and local government, NGOs and other stakeholders are increasingly seeking and producing data on hazards. Most of the hazard event inventories and land use mapping are based on remote sensing data, with little ground truthing, creating difficulties depending on the terrain and accessibility. Open Source WebGIS tools offer an opportunity for quicker and easier ground truthing of critical areas in order to analyse hazard patterns and triggering factors. This study presents a secure mobile-map application for hazard event mapping using Open Source WebGIS technologies such as Postgres database, Postgis, Leaflet, Cordova and Phonegap. The objectives of this prototype are: 1. An Offline-Online android mobile application with advanced Geospatial visualisation; 2. Easy Collection and storage of events information applied services; 3. Centralized data storage with accessibility by all the service (smartphone, standard web browser); 4. Improving data management by using active participation in hazard event mapping and storage. This application has been implemented as a low-cost, rapid and participatory method for recording impacts from hazard events and includes geolocation (GPS data and Internet), visualizing maps with overlay of satellite images, viewing uploaded images and events as cluster points, drawing and adding event information. The data can be recorded in offline (Android device) or online version (all browsers) and consequently uploaded through the server whenever internet is available. All the events and records can be visualized by an administrator and made public after approval. Different user levels can be defined to access the data for communicating the information. This application was tested for landslides in post-earthquake Nepal but can be used for any other type of hazards such as flood, avalanche

77 FR 31643 - AI-Shreveport, LLC A Subsidiary of Android Industries Including On-Site Leased Workers From...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-05-29

... Subsidiary of Android Industries Including On-Site Leased Workers From Career Adventures, Inc. Shreveport..., 2011, applicable to workers of AI-Shreveport, LLC, a subsidiary of Android Industries, Shreveport...- Shreveport, LLC, a subsidiary of Android Industries. The amended notice applicable to TA-W-80,515 is hereby...

Validity and intra-rater reliability of an Android phone application to measure cervical range-of-motion

PubMed Central

2014-01-01

Background Concurrent validity and intra-rater reliability using a customized Android phone application to measure cervical-spine range-of-motion (ROM) has not been previously validated against a gold-standard three-dimensional motion analysis (3DMA) system. Findings Twenty-one healthy individuals (age:31 ± 9.1 years, male:11) participated, with 16 re-examined for intra-rater reliability 1–7 days later. An Android phone was fixed on a helmet, which was then securely fastened on the participant’s head. Cervical-spine ROM in flexion, extension, lateral flexion and rotation were performed in sitting with concurrent measurements obtained from both a 3DMA system and the phone. The phone demonstrated moderate to excellent (ICC = 0.53-0.98, Spearman ρ = 0.52-0.98) concurrent validity for ROM measurements in cervical flexion, extension, lateral-flexion and rotation. However, cervical rotation demonstrated both proportional and fixed bias. Excellent intra-rater reliability was demonstrated for cervical flexion, extension and lateral flexion (ICC = 0.82-0.90), but poor for right- and left-rotation (ICC = 0.05-0.33) using the phone. Possible reasons for the outcome are that flexion, extension and lateral-flexion measurements are detected by gravity-dependent accelerometers while rotation measurements are detected by the magnetometer which can be adversely affected by surrounding magnetic fields. Conclusion The results of this study demonstrate that the tested Android phone application is valid and reliable to measure ROM of the cervical-spine in flexion, extension and lateral-flexion but not in rotation likely due to magnetic interference. The clinical implication of this study is that therapists should be mindful of the plane of measurement when using the Android phone to measure ROM of the cervical-spine. PMID:24742001

Validity and intra-rater reliability of an android phone application to measure cervical range-of-motion.

PubMed

Quek, June; Brauer, Sandra G; Treleaven, Julia; Pua, Yong-Hao; Mentiplay, Benjamin; Clark, Ross Allan

2014-04-17

Concurrent validity and intra-rater reliability using a customized Android phone application to measure cervical-spine range-of-motion (ROM) has not been previously validated against a gold-standard three-dimensional motion analysis (3DMA) system. Twenty-one healthy individuals (age:31 ± 9.1 years, male:11) participated, with 16 re-examined for intra-rater reliability 1-7 days later. An Android phone was fixed on a helmet, which was then securely fastened on the participant's head. Cervical-spine ROM in flexion, extension, lateral flexion and rotation were performed in sitting with concurrent measurements obtained from both a 3DMA system and the phone.The phone demonstrated moderate to excellent (ICC = 0.53-0.98, Spearman ρ = 0.52-0.98) concurrent validity for ROM measurements in cervical flexion, extension, lateral-flexion and rotation. However, cervical rotation demonstrated both proportional and fixed bias. Excellent intra-rater reliability was demonstrated for cervical flexion, extension and lateral flexion (ICC = 0.82-0.90), but poor for right- and left-rotation (ICC = 0.05-0.33) using the phone. Possible reasons for the outcome are that flexion, extension and lateral-flexion measurements are detected by gravity-dependent accelerometers while rotation measurements are detected by the magnetometer which can be adversely affected by surrounding magnetic fields. The results of this study demonstrate that the tested Android phone application is valid and reliable to measure ROM of the cervical-spine in flexion, extension and lateral-flexion but not in rotation likely due to magnetic interference. The clinical implication of this study is that therapists should be mindful of the plane of measurement when using the Android phone to measure ROM of the cervical-spine.

"Sliders" Android Game - Improving Logical Skills of People with Disabilities.

PubMed

Guzsvinecz, Tibor; Koszegi-Vigh, David; Szucs, Veronika; Sik Lanyi, Cecilia

2017-01-01

Logic is part of our everyday life. However, there are some cases where people have difficulties using deductive reasoning. The aim of this work is to help people with mild intellectual disability or learning disability to learn the basis of logical thinking. We developed an application on Android operating system to improve logical thinking.

The effect of the use of android-based application in learning together to improve students' academic performance

NASA Astrophysics Data System (ADS)

Ulfa, Andi Maria; Sugiyarto, Kristian H.; Ikhsan, Jaslin

2017-05-01

Poor achievement of students' performance on Chemistry may result from unfavourable learning processes. Therefore, innovation on learning process must be created. Regarding fast development of mobile technology, learning process cannot ignore the crucial role of the technology. This research and development (R&D) studies was done to develop android based application and to study the effect of its integration in Learning together (LT) into the improvement of students' learning creativity and cognitive achievement. The development of the application was carried out by adapting Borg & Gall and Dick & Carey model. The developed-product was reviewed by chemist, learning media practitioners, peer reviewers, and educators. After the revision based on the reviews, the application was used in the LT model on the topic of Stoichiometry in a senior high school. The instruments were questionnaires to get comments and suggestion from the reviewers about the application, and the another questionnaire was to collect the data of learning creativity. Another instrument used was a set of test by which data of students' achievement was collected. The results showed that the use of the mobile based application on Learning Together can bring about significant improvement of students' performance including creativity and cognitive achievement.

76 FR 79221 - Android Industries Belvidere, LLC, Including On-Site Leased Workers From QPS Employment Group...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-12-21

... DEPARTMENT OF LABOR Employment and Training Administration [TA-W-73,072] Android Industries..., 2010, applicable to workers of Android Industries Belvidere, LLC, including on-site leased workers from... Belvidere, Illinois location of Android Industries Belvidere, LLC. The Department has determined that these...

The development of indonesian traditional bekel game in android platform

NASA Astrophysics Data System (ADS)

Rahmat, R. F.; Fahrani, O. R.; Purnamawati, S.; Pasha, M. F.

2018-03-01

Bekel is one of traditional Indonesian game that is rarely played nowadays. Bekel is a game to test dexterity level using a bekel ball and 6 to10 seeds. The game is played by throwing the ball up in the air, spreading the seeds randomly on the floor then picking the seeds up until the ground is clear. This game application is an adaptation of Bekel game focusing on the movements of the ball and the randomization of the seed positions. This game application has three levels of difficulty based on the basic rules of the actual Bekel game. The focus of the study is the free fall method of the ball and the random function of the seeds in the Android environment. The result show the Bekel application has sensitivity level of 71% for the ball movements and the probability rate of the random event occurrence is at 23%.

Light weight portable operator control unit using an Android-enabled mobile phone

NASA Astrophysics Data System (ADS)

Fung, Nicholas

2011-05-01

There have been large gains in the field of robotics, both in hardware sophistication and technical capabilities. However, as more capable robots have been developed and introduced to battlefield environments, the problem of interfacing with human controllers has proven to be challenging. Particularly in the field of military applications, controller requirements can be stringent and can range from size and power consumption, to durability and cost. Traditional operator control units (OCUs) tend to resemble laptop personal computers (PCs), as these devices are mobile and have ample computing power. However, laptop PCs are bulky and have greater power requirements. To approach this problem, a light weight, inexpensive controller was created based on a mobile phone running the Android operating system. It was designed to control an iRobot Packbot through the Army Research Laboratory (ARL) in-house Agile Computing Infrastructure (ACI). The hardware capabilities of the mobile phone, such as Wi- Fi communications, touch screen interface, and the flexibility of the Android operating system, made it a compelling platform. The Android based OCU offers a more portable package and can be easily carried by a soldier along with normal gear requirements. In addition, the one hand operation of the Android OCU allows for the Soldier to keep an unoccupied hand for greater flexibility. To validate the Android OCU as a capable controller, experimental data was collected evaluating use of the controller and a traditional, tablet PC based OCU. Initial analysis suggests that the Android OCU performed positively in qualitative data collected from participants.

Evaluation of Android Smartphones for Telepathology.

PubMed

Ekong, Donald; Liu, Fang; Brown, G Thomas; Ghosh, Arunima; Fontelo, Paul

2017-01-01

In the year 2014, Android smartphones accounted for one-third of mobile connections globally but are predicted to increase to two-thirds by 2020. In developing countries, where teleconsultations can benefit health-care providers most, the ratio is even higher. This study compared the use of two Android phones, an 8 megapixel (MP) and a 16 MP phone, for capturing microscopic images. The Android phones were used to capture images and videos of a gastrointestinal biopsy teaching set of referred cases from the Armed Forces Institute of Pathology (AFIP). The acquired images and videos were reviewed online by two pathologists for image quality, adequacy for diagnosis, usefulness of video overviews, and confidence in diagnosis, on a 5-point Likert scale. The results show higher means in a 5-point Likert scale for the 8 MP versus the 16 MP phone that were statistically significant in adequacy of images (4.0 vs. 3.75) for rendering diagnosis and for agreement with the reference diagnosis (2.33 vs. 2.07). Although the quality of images was found higher in the 16 MP phone (3.8 vs. 3.65), these were not statistically significant. Adding video images of the entire specimen was found to be useful for evaluating the slides (combined mean, 4.0). For telepathology and other image dependent practices in developing countries, Android phones could be a useful tool for capturing images.

Covert Android Rootkit Detection: Evaluating Linux Kernel Level Rootkits on the Android Operating System

DTIC Science & Technology

2012-06-14

the attacker . Thus, this race condition causes a privilege escalation . 2.2.5 Summary This section reviewed software exploitation of a Linux kernel...has led to increased targeting by malware writers. Android attacks have naturally sparked interest in researching protections for Android . This...release, Android 4.0 Ice Cream Sandwich. These rootkits focused on covert techniques to hide the presence of data used by an attacker to infect a

Subthalamic nucleus detects unnatural android movement.

PubMed

Ikeda, Takashi; Hirata, Masayuki; Kasaki, Masashi; Alimardani, Maryam; Matsushita, Kojiro; Yamamoto, Tomoyuki; Nishio, Shuichi; Ishiguro, Hiroshi

2017-12-19

An android, i.e., a realistic humanoid robot with human-like capabilities, may induce an uncanny feeling in human observers. The uncanny feeling about an android has two main causes: its appearance and movement. The uncanny feeling about an android increases when its appearance is almost human-like but its movement is not fully natural or comparable to human movement. Even if an android has human-like flexible joints, its slightly jerky movements cause a human observer to detect subtle unnaturalness in them. However, the neural mechanism underlying the detection of unnatural movements remains unclear. We conducted an fMRI experiment to compare the observation of an android and the observation of a human on which the android is modelled, and we found differences in the activation pattern of the brain regions that are responsible for the production of smooth and natural movement. More specifically, we found that the visual observation of the android, compared with that of the human model, caused greater activation in the subthalamic nucleus (STN). When the android's slightly jerky movements are visually observed, the STN detects their subtle unnaturalness. This finding suggests that the detection of unnatural movements is attributed to an error signal resulting from a mismatch between a visual input and an internal model for smooth movement.

Deep learning application: rubbish classification with aid of an android device

NASA Astrophysics Data System (ADS)

Liu, Sijiang; Jiang, Bo; Zhan, Jie

2017-06-01

Deep learning is a very hot topic currently in pattern recognition and artificial intelligence researches. Aiming at the practical problem that people usually don't know correct classifications some rubbish should belong to, based on the powerful image classification ability of the deep learning method, we have designed a prototype system to help users to classify kinds of rubbish. Firstly the CaffeNet Model was adopted for our classification network training on the ImageNet dataset, and the trained network was deployed on a web server. Secondly an android app was developed for users to capture images of unclassified rubbish, upload images to the web server for analyzing backstage and retrieve the feedback, so that users can obtain the classification guide by an android device conveniently. Tests on our prototype system of rubbish classification show that: an image of one single type of rubbish with origin shape can be better used to judge its classification, while an image containing kinds of rubbish or rubbish with changed shape may fail to help users to decide rubbish's classification. However, the system still shows promising auxiliary function for rubbish classification if the network training strategy can be optimized further.

vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Techniques.

PubMed

Aquino, Arturo; Millan, Borja; Gaston, Daniel; Diago, María-Paz; Tardaguila, Javier

2015-08-28

Grapevine flowering and fruit set greatly determine crop yield. This paper presents a new smartphone application for automatically counting, non-invasively and directly in the vineyard, the flower number in grapevine inflorescence photos by implementing artificial vision techniques. The application, called vitisFlower(®), firstly guides the user to appropriately take an inflorescence photo using the smartphone's camera. Then, by means of image analysis, the flowers in the image are detected and counted. vitisFlower(®) has been developed for Android devices and uses the OpenCV libraries to maximize computational efficiency. The application was tested on 140 inflorescence images of 11 grapevine varieties taken with two different devices. On average, more than 84% of flowers in the captures were found, with a precision exceeding 94%. Additionally, the application's efficiency on four different devices covering a wide range of the market's spectrum was also studied. The results of this benchmarking study showed significant differences among devices, although indicating that the application is efficiently usable even with low-range devices. vitisFlower is one of the first applications for viticulture that is currently freely available on Google Play.

Implementation of Markerless Augmented Reality Technology Based on Android to Introduction Lontara in Marine Society

NASA Astrophysics Data System (ADS)

Jumarlis, Mila; Mirfan, Mirfan

2018-05-01

Local language learning had been leaving by people especially young people had affected technology advances so that involved lack of interest to learn culture especially local language. So required interactive and interest learning media for introduction Lontara. This research aims to design and implement augmented reality on introduction Lontara on mobile device especially android. Application of introduction Lontara based on Android was designed by Vuforia and Unity. Data collection method were observation, interview, and literature review. That data was analysed for being information. The system was designed by Unified Modeling Language (UML). The method used is a marker. The test result found that application of Augmented Reality on introduction Lontara based on Android could improve public interest for introducing local language particularly young people in learning about Lontara because of using technology. Application of introduction of Lontara based on Android used augmented reality occurred sound and how to write Lontara with animation. This application could be running without an internet connection, so that its used more efficient and could maximize from user.

Evaluation of Android Smartphones for Telepathology

PubMed Central

Ekong, Donald; Liu, Fang; Brown, G. Thomas; Ghosh, Arunima; Fontelo, Paul

2017-01-01

Background: In the year 2014, Android smartphones accounted for one-third of mobile connections globally but are predicted to increase to two-thirds by 2020. In developing countries, where teleconsultations can benefit health-care providers most, the ratio is even higher. This study compared the use of two Android phones, an 8 megapixel (MP) and a 16 MP phone, for capturing microscopic images. Method: The Android phones were used to capture images and videos of a gastrointestinal biopsy teaching set of referred cases from the Armed Forces Institute of Pathology (AFIP). The acquired images and videos were reviewed online by two pathologists for image quality, adequacy for diagnosis, usefulness of video overviews, and confidence in diagnosis, on a 5-point Likert scale. Results: The results show higher means in a 5-point Likert scale for the 8 MP versus the 16 MP phone that were statistically significant in adequacy of images (4.0 vs. 3.75) for rendering diagnosis and for agreement with the reference diagnosis (2.33 vs. 2.07). Although the quality of images was found higher in the 16 MP phone (3.8 vs. 3.65), these were not statistically significant. Adding video images of the entire specimen was found to be useful for evaluating the slides (combined mean, 4.0). Conclusion: For telepathology and other image dependent practices in developing countries, Android phones could be a useful tool for capturing images. PMID:28480119

Mobile healthcare information management utilizing Cloud Computing and Android OS.

PubMed

Doukas, Charalampos; Pliakas, Thomas; Maglogiannis, Ilias

2010-01-01

Cloud Computing provides functionality for managing information data in a distributed, ubiquitous and pervasive manner supporting several platforms, systems and applications. This work presents the implementation of a mobile system that enables electronic healthcare data storage, update and retrieval using Cloud Computing. The mobile application is developed using Google's Android operating system and provides management of patient health records and medical images (supporting DICOM format and JPEG2000 coding). The developed system has been evaluated using the Amazon's S3 cloud service. This article summarizes the implementation details and presents initial results of the system in practice.

A web service and android application for the distribution of rainfall estimates and Earth observation data

NASA Astrophysics Data System (ADS)

Mantas, V. M.; Liu, Z.; Pereira, A. J. S. C.

2015-04-01

The full potential of Satellite Rainfall Estimates (SRE) can only be realized if timely access to the datasets is possible. Existing data distribution web portals are often focused on global products and offer limited customization options, especially for the purpose of routine regional monitoring. Furthermore, most online systems are designed to meet the needs of desktop users, limiting the compatibility with mobile devices. In response to the growing demand for SRE and to address the current limitations of available web portals a project was devised to create a set of freely available applications and services, available at a common portal that can: (1) simplify cross-platform access to Tropical Rainfall Measuring Mission Online Visualization and Analysis System (TOVAS) data (including from Android mobile devices), (2) provide customized and continuous monitoring of SRE in response to user demands and (3) combine data from different online data distribution services, including rainfall estimates, river gauge measurements or imagery from Earth Observation missions at a single portal, known as the Tropical Rainfall Measuring Mission (TRMM) Explorer. The TRMM Explorer project suite includes a Python-based web service and Android applications capable of providing SRE and ancillary data in different intuitive formats with the focus on regional and continuous analysis. The outputs include dynamic plots, tables and data files that can also be used to feed downstream applications and services. A case study in Southern Angola is used to describe the potential of the TRMM Explorer for SRE distribution and analysis in the context of ungauged watersheds. The development of a collection of data distribution instances helped to validate the concept and identify the limitations of the program, in a real context and based on user feedback. The TRMM Explorer can successfully supplement existing web portals distributing SRE and provide a cost-efficient resource to small and medium

vitisFlower®: Development and Testing of a Novel Android-Smartphone Application for Assessing the Number of Grapevine Flowers per Inflorescence Using Artificial Vision Techniques

PubMed Central

Aquino, Arturo; Millan, Borja; Gaston, Daniel; Diago, María-Paz; Tardaguila, Javier

2015-01-01

Grapevine flowering and fruit set greatly determine crop yield. This paper presents a new smartphone application for automatically counting, non-invasively and directly in the vineyard, the flower number in grapevine inflorescence photos by implementing artificial vision techniques. The application, called vitisFlower®, firstly guides the user to appropriately take an inflorescence photo using the smartphone’s camera. Then, by means of image analysis, the flowers in the image are detected and counted. vitisFlower® has been developed for Android devices and uses the OpenCV libraries to maximize computational efficiency. The application was tested on 140 inflorescence images of 11 grapevine varieties taken with two different devices. On average, more than 84% of flowers in the captures were found, with a precision exceeding 94%. Additionally, the application’s efficiency on four different devices covering a wide range of the market’s spectrum was also studied. The results of this benchmarking study showed significant differences among devices, although indicating that the application is efficiently usable even with low-range devices. vitisFlower is one of the first applications for viticulture that is currently freely available on Google Play. PMID:26343664

[Portable Epileptic Seizure Monitoring Intelligent System Based on Android System].

PubMed

Liang, Zhenhu; Wu, Shufeng; Yang, Chunlin; Jiang, Zhenzhou; Yu, Tao; Lu, Chengbiao; Li, Xiaoli

2016-02-01

The clinical electroencephalogram (EEG) monitoring systems based on personal computer system can not meet the requirements of portability and home usage. The epilepsy patients have to be monitored in hospital for an extended period of time, which imposes a heavy burden on hospitals. In the present study, we designed a portable 16-lead networked monitoring system based on the Android smart phone. The system uses some technologies including the active electrode, the WiFi wireless transmission, the multi-scale permutation entropy (MPE) algorithm, the back-propagation (BP) neural network algorithm, etc. Moreover, the software of Android mobile application can realize the processing and analysis of EEG data, the display of EEG waveform and the alarm of epileptic seizure. The system has been tested on the mobile phones with Android 2. 3 operating system or higher version and the results showed that this software ran accurately and steadily in the detection of epileptic seizure. In conclusion, this paper provides a portable and reliable solution for epileptic seizure monitoring in clinical and home applications.

A concept of dynamic permission mechanism on android

NASA Astrophysics Data System (ADS)

Aron, Lukas; Hanacek, Petr

2016-02-01

This paper discuss the main security topic in mobile security area and this topic is protect user against the leakage of data. This work primarily contains the proposal of concept of dynamic permission mechanism for Android operating system. This mechanism deals with assignment or enforcement permissions to the application according to files that the application works with. Application has set of permissions that can use, but if the user opens confident files the application permissions should change its permission set and there should not be possible leakage of this secret data. The permissions set should be stricter according to opened confidential file or more open (without restriction) if the file is not secret file. The concept proposes the solution for protecting this data leakage. Idea covers rule that user should be avoided of change this permissions himself, but this behavior should be dynamic, automatic and independent. This proposal is mainly aimed to Android operating system, but the concept can be applied to other mobile platforms with some implementation changes.

Androids: application of EAP as artificial muscles to entertainment industry

NASA Technical Reports Server (NTRS)

Hanson, D.; Pioggia, G.; Bar-Cohen, Yoseph; de Rossi, D.

2001-01-01

The classic movie Metropolis (1926), which is nowadays considered a cinema milestone, has shown the possibility to build robots called androids that are science and fiction run together to realize a dream: the human-like robot. In that movie, Dr. Rotwang transforms a simple and cold calculating robot into the body of a beautiful woman. Robots have often been depicted as metal creatures with cold steel bodies, but there is no reason why metals should be the only kind of material for construction of robots. The authors examined the issues related to applying electroactive polymers materials (EAP) to the entertainment industry. EAP are offering attractive characteristics with the potential to produce more realistic models of living creatures at significantly lower cost. This paper seeks to elucidate how EAP might infiltrate and ultimately revolutionize entertainment, showing some applicative examples.

Standardization of Software Application Development and Governance

DTIC Science & Technology

2015-03-01

of their systems or applications. DOD systems do not have the luxury of replacing systems at the same pace as commercial companies. DOD has to...is not that the commercial market purposefully sells products that are not complete, but having a 100% complete product requires extensive testing...develop applications for Google ’s Android and Apple ’s iOS devices. Both these companies have SDKs online as well as a number of resources available

Android-Based Daily Routine Organizing Application for Elementary School Students Living with ASD.

PubMed

Barta, Eva A; Guzsvinecz, Tibor; Sik Lanyi, Cecilia; Szucs, Veronika

2017-01-01

Today, more and more children with Autism Spectrum disorder are diagnosed, which means that around 1% of the population is concerned. Most of the concerned can acquire daily routine tasks by a bit of help and can fit in the society. As Besio et al. said, "…play is an instinctive need for both humans….In children with disabilities, depending on the type of functional limitations, the spontaneity of play is lost and the activity becomes problematic. Children with cognitive and intellectual impairments have a difficulties in communication, social interactions,….Since play is also a window for children's cognitive development, children may be perceived as more developmentally delayed than they actually are, leading to reduce expectations on the part of adults." The aim of the authors was to create an Android based application which helps 6-9 year old children living with Autism Spectrum disorder to learn everyday tasks and acquire everyday routine.

An android application for crime analysis in San Diego

NASA Astrophysics Data System (ADS)

Gonchikara, Likhita

Over the past few years, smartphone adoption has increased worldwide. In this era of smartphones, one of the easiest ways to make this information available to many users is through smartphone applications. Smartphone applications can provide requested information in a readable and user friendly format. Information related to data such as real estate, property, post offices, crime locations and many others can be very useful. Such information helps city planners, residents, students and commuters to identify and communicate trends and patterns about places. ESRI`s ARCGIS provides various services and tools which help visualize real-world features, discover patterns, obtain information, and communicate that information to others. When these services work in conjunction with GPS based location services in smartphones, they create new avenues for applications. This thesis implements an Android smartphone application with features to analyze location based crime data. The user of this application can view crime data in a region and filter different crime types. The application allows the user to query and analyze crimes that have occurred near his location or at a location of interest. The application includes features to measure distance between crime spots and also measure area on the map. The user can also switch the base-map from street map to NatGeo map. Powered with this information, renters and home buyers can ensure that their new home is in a safe location. Real estate agents can buy or sell property in safer locations. Commuters can find routes which avoid crime spots. Tourists can find accommodation in safer places. Students can be aware of the high crime rate areas around the school campus. This application uses ArcGIS feature service by ESRI to render all data on the map.

Dicoogle Mobile: a medical imaging platform for Android.

PubMed

Viana-Ferreira, Carlos; Ferreira, Daniel; Valente, Frederico; Monteiro, Eriksson; Costa, Carlos; Oliveira, José Luís

2012-01-01

Mobile computing technologies are increasingly becoming a valuable asset in healthcare information systems. The adoption of these technologies helps to assist in improving quality of care, increasing productivity and facilitating clinical decision support. They provide practitioners with ubiquitous access to patient records, being actually an important component in telemedicine and tele-work environments. We have developed Dicoogle Mobile, an Android application that provides remote access to distributed medical imaging data through a cloud relay service. Besides, this application has the capability to store and index local imaging data, so that they can also be searched and visualized. In this paper, we will describe Dicoogle Mobile concept as well the architecture of the whole system that makes it running.

Android-based E-Traffic law enforcement system in Surakarta City

NASA Astrophysics Data System (ADS)

Yulianto, Budi; Setiono

2018-03-01

The urban advancement is always overpowered by the increasing number of vehicles as the need for movement of people and goods. This can lead to traffic problems if there is no effort on the implementation of traffic management and engineering, and traffic law enforcement. In this case, the Government of Surakarta City has implemented various policies and regulations related to traffic management and engineering in order to run traffic in an orderly, safe and comfortable manner according to the applicable law. However, conditions in the field shows that traffic violations still occurred frequently due to the weakness of traffic law enforcement in terms of human resources and the system. In this connection, a tool is needed to support traffic law enforcement, especially in relation to the reporting system of traffic violations. This study aims to develop an Android-based traffic violations reporting application (E-Traffic Law Enforcement) as part of the traffic law enforcement system in Surakarta City. The Android-apps records the location and time of the traffic violations incident along with the visual evidence of the infringement. This information will be connected to the database system to detect offenders and to do the traffic law enforcement process.

Registration system of cloud campus by using android smart tablet.

PubMed

Kamada, Shin; Ichimura, Takumi; Shigeyasu, Tetsuya; Takemoto, Yasuhiko

2014-01-01

Near Field Communication (NFC) standard covers communication protocols and data exchange formats. NFC technology is one of radio-frequency identification (RFID) standards. In Japan, Felica card is a popular way to identify the unique ID. We developed the attendance management system (AMS) as the Android application which works in the smart tablet with NFC. Generally, the AMS in the university is fixed to the wall and each student touches or slides his/her own card to the dedicated equipment. Because a teacher can use his/her own smart tablet and/or smartphone, the attendance records are viewed anytime and anywhere. Moreover, we developed the collecting system between PC and some tablets by using Android beam. Any personal data are encrypted and the file can be transferred over the NFC Bluetooth Handover between PC Linux and smart tablet. By the mining of the collected records, early discovery for chronic non-attenders are extracted in educational affairs section. In this paper, a registration system on the cloud campus system by using the personal smartphone with NFC is developed. The system enables to introduce the university courses that are open to the general public.

Android Platform for Realtime Gait Tracking Using Inertial Measurement Units.

PubMed

Aqueveque, Pablo; Sobarzo, Sergio; Saavedra, Francisco; Maldonado, Claudio; Gómez, Britam

2016-06-13

One of the most important movements performed by the humans is gait. Biomechanical Gait analysis is usually by optical capture systems. However, such systems are expensive and sensitive to light and obstacles. In order to reduce those costs a system based on Inertial Measurements Units (IMU) is proposed. IMU are a good option to make movement analisys indoor with a low post-processing data, allowing to connect those systems to an Android platform. The design is based on two elements: a) The IMU sensors and the b) Android device. The IMU sensor is simple, small (35 x 35 mm), portable and autonomous (7.8 hrs). A resolution of 0.01° in their measurements is obtained, and sends data via Bluetooth link. The Android application works for Android 4.2 or higher, and it is compatible with Bluetooth devices 2.0 or higher. Three IMU sensors send data to a Tablet wirelessly, in order to evaluate the angles evolution for each joint of the leg (hip, knee and ankle). This information is used to calculate gait index and evaluate the gait quality online during the physical therapist is working with the patient.

Usability Testing For Android Based Application “Jogja Smart Tourism”

NASA Astrophysics Data System (ADS)

Harwati; Djati Widodo, Imam

2017-06-01

The android based application “Jogja Smart Tourism (JST)” is designed to help everyone who visited Yogyakarta to enjoy their travel. As new application, it is need to be tested for its usability before launched. Usability testing will show how easy user interfaces are to used. The objective of this research is to demonstrate the result of usability testing for application JST based on five characteristics: learnability, effectiveness, memorability, errors, and satisfaction. About 30 respondents were involved to test the usability of this application. Learnability and effectiveness is calculated from some task that should be finished by respondents, and the rest aspects are calculated from questionnaires that should be answered after simulation. There are 14 functions bound in this usability testing. The result shows total usability level is in 81.75%. Learnability testing shows that 98.8% of respondent could finish the task successfully with 87.5% in efficiency. The memorability level of respondents is good (84.5%) where their ability to fix the errors is 71.5%. And the last for satisfaction level of application interface is 66.25%. Low level of satisfaction occurred because most of respondent felt uncomfortable with landscape interface of application because they should turn their mobile phone while using JST application and also it happened because the lack of using picture and colour inside the application. Both of these becomes important note for the improvement of further applications where the interface in a portrait version is more comfort the use and also utilization of colour and the image will be the main focus to improve customer satisfaction.

Eyeblink Synchrony in Multimodal Human-Android Interaction.

PubMed

Tatsukawa, Kyohei; Nakano, Tamami; Ishiguro, Hiroshi; Yoshikawa, Yuichiro

2016-12-23

As the result of recent progress in technology of communication robot, robots are becoming an important social partner for humans. Behavioral synchrony is understood as an important factor in establishing good human-robot relationships. In this study, we hypothesized that biasing a human's attitude toward a robot changes the degree of synchrony between human and robot. We first examined whether eyeblinks were synchronized between a human and an android in face-to-face interaction and found that human listeners' eyeblinks were entrained to android speakers' eyeblinks. This eyeblink synchrony disappeared when the android speaker spoke while looking away from the human listeners but was enhanced when the human participants listened to the speaking android while touching the android's hand. These results suggest that eyeblink synchrony reflects a qualitative state in human-robot interactions.

iWander: An Android application for dementia patients.

PubMed

Sposaro, Frank; Danielson, Justin; Tyson, Gary

2010-01-01

Non-pharmacological management of dementia puts a burden on those who are taking care of a patient that suffer from this chronic condition. Caregivers frequently need to assist their patients with activities of daily living. However, they are also encouraged to promote functional independence. With the use of a discrete monitoring device, functional independence is increased among dementia patients while decreasing the stress put on caregivers. This paper describes a tool which improves the quality of treatment for dementia patients using mobile applications. Our application, iWander, runs on several Android based devices with GPS and communication capabilities. This allows for caregivers to cost effectively monitor their patients remotely. The data uncollected from the device is evaluated using Bayesian network techniques which estimate the probability of wandering behavior. Upon evaluation several courses of action can be taken based on the situation's severity, dynamic settings and probability. These actions include issuing audible prompts to the patient, offering directions to navigate them home, sending notifications to the caregiver containing the location of the patient, establishing a line of communication between the patient-caregiver and performing a party call between the caregiver-patient and patient's local 911. As patients use this monitoring system more, it will better learn and identify normal behavioral patterns which increases the accuracy of the Bayesian network for all patients. Normal behavior classifications are also used to alert the caregiver or help patients navigate home if they begin to wander while driving allowing for functional independence.

Use of an android phone application for automated text messages in international settings: A case study in an HIV clinical trial in St. Petersburg, Russia.

PubMed

Forman, Leah S; Patts, Gregory J; Coleman, Sharon M; Blokhina, Elena; Lu, John; Yaroslavtseva, Tatiana; Gnatienko, Natalia; Krupitsky, Evgeny; Samet, Jeffrey H; Chaisson, Christine E

2018-02-01

Reproducible outcomes in clinical trials depend on adherence to study protocol. Short message service (also known as text message) reminders have been shown to improve clinical trial adherence in the United States and elsewhere. However, due to systematic differences in mobile data plans, languages, and technology, these systems are not easily translated to international settings. To gauge technical capabilities for international projects, we developed SMSMessenger, an automated Android application that uses a US server to send medication reminders to participants in a clinical trial in St. Petersburg, Russia (Zinc for HIV disease among alcohol users-a randomized controlled trial in the Russia Alcohol Research Collaboration on HIV/AIDS cohort). The application is downloaded once onto an Android study phone. When it is time for the text message reminders to be sent, study personnel access the application on a local phone, which in turn accesses the existing clinical trial database hosted on a US web server. The application retrieves a list of participants with the following information: phone number, whether a message should be received at that time, and the appropriate text of the message. The application is capable of storing multiple outgoing messages. With a few clicks, text messages are sent to study participants who can reply directly to the message. Study staff can check the local phone for incoming messages. The SMSMessenger application uses an existing clinical trial database and is able to receive real-time updates. All communications between the application and server are encrypted, and phone numbers are stored in a secure database behind a firewall. No sensitive data are stored on the phone, as outgoing messages are sent through the application and not by messaging features on the phone itself. Messages are sent simultaneously to study participants, which reduces the burden on local study staff. Costs and setup are minimal. The only local requirements

Developing Screening Services for Colorectal Cancer on Android Smartphones

PubMed Central

Wu, Hui-Ching; Chang, Chiao-Jung; Lin, Chun-Che; Tsai, Ming-Chang; Chang, Che-Chia

2014-01-01

Abstract Introduction: Colorectal cancer (CRC) is an important health problem in Western countries and also in Asia. It is the third leading cause of cancer deaths in both men and women in Taiwan. According to the well-known adenoma-to-carcinoma sequence, the majority of CRC develops from colorectal adenomatous polyps. This concept provides the rationale for screening and prevention of CRC. Removal of colorectal adenoma could reduce the mortality and incidence of CRC. Mobile phones are now playing an ever more crucial role in people's daily lives. The latest generation of smartphones is increasingly viewed as hand-held computers rather than as phones, because of their powerful on-board computing capability, capacious memories, large screens, and open operating systems that encourage development of applications (apps). Subjects and Methods: If we can detect the potential CRC patients early and offer them appropriate treatments and services, this would not only promote the quality of life, but also reduce the possible serious complications and medical costs. In this study, an intelligent CRC screening app on Android™ (Google™, Mountain View, CA) smartphones has been developed based on a data mining approach using decision tree algorithms. For comparison, the stepwise backward multivariate logistic regression model and the fecal occult blood test were also used. Results: Compared with the stepwise backward multivariate logistic regression model and the fecal occult blood test, the proposed app system not only provides an easy and efficient way to quickly detect high-risk groups of potential CRC patients, but also brings more information about CRC to customer-oriented services. Conclusions: We developed and implemented an app system on Android platforms for ubiquitous healthcare services for CRC screening. It can assist people in achieving early screening, diagnosis, and treatment purposes, prevent the occurrence of complications, and thus reach the goal of

Developing screening services for colorectal cancer on Android smartphones.

PubMed

Wu, Hui-Ching; Chang, Chiao-Jung; Lin, Chun-Che; Tsai, Ming-Chang; Chang, Che-Chia; Tseng, Ming-Hseng

2014-08-01

Colorectal cancer (CRC) is an important health problem in Western countries and also in Asia. It is the third leading cause of cancer deaths in both men and women in Taiwan. According to the well-known adenoma-to-carcinoma sequence, the majority of CRC develops from colorectal adenomatous polyps. This concept provides the rationale for screening and prevention of CRC. Removal of colorectal adenoma could reduce the mortality and incidence of CRC. Mobile phones are now playing an ever more crucial role in people's daily lives. The latest generation of smartphones is increasingly viewed as hand-held computers rather than as phones, because of their powerful on-board computing capability, capacious memories, large screens, and open operating systems that encourage development of applications (apps). If we can detect the potential CRC patients early and offer them appropriate treatments and services, this would not only promote the quality of life, but also reduce the possible serious complications and medical costs. In this study, an intelligent CRC screening app on Android™ (Google™, Mountain View, CA) smartphones has been developed based on a data mining approach using decision tree algorithms. For comparison, the stepwise backward multivariate logistic regression model and the fecal occult blood test were also used. Compared with the stepwise backward multivariate logistic regression model and the fecal occult blood test, the proposed app system not only provides an easy and efficient way to quickly detect high-risk groups of potential CRC patients, but also brings more information about CRC to customer-oriented services. We developed and implemented an app system on Android platforms for ubiquitous healthcare services for CRC screening. It can assist people in achieving early screening, diagnosis, and treatment purposes, prevent the occurrence of complications, and thus reach the goal of preventive medicine.

Teaching smartphone and microcontroller systems using "Android Java"

NASA Astrophysics Data System (ADS)

Tigrek, Seyitriza

Mobile devices are becoming indispensable tools for many students and educators. Mobile technology is starting a new era in the computing methodologies in many engineering disciplines and laboratories. Microcontroller extension that communicates with mobile devices will take the data acquisition and control process into a new level in the sensing technology and communication. The purpose of this thesis is to develop a framework to incorporate the new mobile platform with robust embedded systems into the engineering curriculum. For this purpose a course material is developed "Introduction to Programming Java on a Mobile Platform" to teach novice programmers how to create applications, specifically on Android. Combining an introductory level programming class with the Android platform can appeal to non-programming individuals in multiple disciplines. The proposed course curriculum reduces the learning time, and allows senior engineering students to use the new framework for their specific needs in the labs such as mobile data acquisition and control projects. This work provides techniques for instructors with modest programming background to teach cutting edge technology, which is smartphone programming. Techniques developed in this work minimize unnecessary information carried into current teaching approaches with hands-on practice. It also helps the students with minimal background requirements overcome the barriers that have evolved around computer programming. The motivation of this thesis is to create a tailored programming introductory course to teach Java programming on Android by incorporating selected efficient methods from extant literature. The mechanism proposed in this thesis is to keep students motivated by an active approach based on student-centered learning with collaborative work. Teamwork through pair programming is adapted in this teaching process. Bloom's taxonomy, along with a knowledge survey, is used as a guide to classify the information and

Formalization of the Access Control on ARM-Android Platform with the B Method

NASA Astrophysics Data System (ADS)

Ren, Lu; Wang, Wei; Zhu, Xiaodong; Man, Yujia; Yin, Qing

2018-01-01

ARM-Android is a widespread mobile platform with multi-layer access control mechanisms, security-critical in the system. Many access control vulnerabilities still exist due to the course-grained policy and numerous engineering defects, which have been widely studied. However, few researches focus on the mechanism formalization, including the Android permission framework, kernel process management and hardware isolation. This paper first develops a comprehensive formal access control model on the ARM-Android platform using the B method, from the Android middleware to hardware layer. All the model specifications are type checked and proved to be well-defined, with 75%of proof obligations demonstrated automatically. The results show that the proposed B model is feasible to specify and verify access control schemes in the ARM-Android system, and capable of implementing a practical control module.

AdDroid: Privilege Separation for Applications and Advertisers in Android

DTIC Science & Technology

2013-05-14

integrates these three components into the Android Open Source Project, version 2.3.3 (Ginger- bread ). 4.1 AdDroid Library API The AdDroid userspace...AdPropert ies IAB MRECT public stat ic int NO REFRESH stat ic enum AdPropert ies . Al ign BOTTOM TOP UNSET Class AdRequest public AdRequest ( ) public

Forensic Taxonomy of Android Social Apps.

PubMed

Azfar, Abdullah; Choo, Kim-Kwang Raymond; Liu, Lin

2017-03-01

An Android social app taxonomy incorporating artifacts that are of forensic interest will enable users and forensic investigators to identify the personally identifiable information (PII) stored by the apps. In this study, 30 popular Android social apps were examined. Artifacts of forensic interest (e.g., contacts lists, chronology of messages, and timestamp of an added contact) were recovered. In addition, images were located, and Facebook token strings used to tie account identities and gain access to information entered into Facebook by a user were identified. Based on the findings, a two-dimensional taxonomy of the forensic artifacts of the social apps is proposed. A comparative summary of existing forensic taxonomies of different categories of Android apps, designed to facilitate timely collection and analysis of evidentiary materials from Android devices, is presented. © 2016 American Academy of Forensic Sciences.

System Security And Monitoring On Smart Home Using Android

NASA Astrophysics Data System (ADS)

Romadhon, A. S.

2018-01-01

Home security system is needed for homeowners who have a lot of activities, as a result, they often leave the house without locking the door and even leave the house in a state of lights that are not lit. In order to overcome this case, a system that can control and can monitor the state of the various devices contained in the house or smart home system is urgently required. The working principle of this smart home using android is when the homeowner sends a certain command using android, the command will be forwarded to the microcontroller and then it will be executed based on the parameters that have been determined. For example, it can turn off and on the light using android app. In this study, testing was conducted to a smart home prototype which is equipped with light bulbs, odour sensors, heat sensors, ultrasonic sensors, LDR, buzzer and camera. The test results indicate that the application has been able to control all the sensors of home appliances well.

Development of Mobile Electronic Health Records Application in a Secondary General Hospital in Korea

PubMed Central

Park, Min Ah; Hong, Eunseok; Kim, Sunhyu; Ahn, Ryeok; Hong, Jungseok; Song, Seungyeol; Kim, Tak; Kim, Jeongkeun; Yeo, Seongwoon

2013-01-01

Objectives The recent evolution of mobile devices has opened new possibilities of providing strongly integrated mobile services in healthcare. The objective of this paper is to describe the decision driver, development, and implementation of an integrated mobile Electronic Health Record (EHR) application at Ulsan University Hospital. This application helps healthcare providers view patients' medical records and information without a stationary computer workstation. Methods We developed an integrated mobile application prototype that aimed to improve the mobility and usability of healthcare providers during their daily medical activities. The Android and iOS platform was used to create the mobile EHR application. The first working version was completed in 5 months and required 1,080 development hours. Results The mobile EHR application provides patient vital signs, patient data, text communication, and integrated EHR. The application allows our healthcare providers to know the status of patients within and outside the hospital environment. The application provides a consistent user environment on several compatible Android and iOS devices. A group of 10 beta testers has consistently used and maintained our copy of the application, suggesting user acceptance. Conclusions We are developing the integrated mobile EHR application with the goals of implementing an environment that is user-friendly, implementing a patient-centered system, and increasing the hospital's competitiveness. PMID:24523996

Development of mobile electronic health records application in a secondary general hospital in Korea.

PubMed

Choi, Wookjin; Park, Min Ah; Hong, Eunseok; Kim, Sunhyu; Ahn, Ryeok; Hong, Jungseok; Song, Seungyeol; Kim, Tak; Kim, Jeongkeun; Yeo, Seongwoon

2013-12-01

The recent evolution of mobile devices has opened new possibilities of providing strongly integrated mobile services in healthcare. The objective of this paper is to describe the decision driver, development, and implementation of an integrated mobile Electronic Health Record (EHR) application at Ulsan University Hospital. This application helps healthcare providers view patients' medical records and information without a stationary computer workstation. We developed an integrated mobile application prototype that aimed to improve the mobility and usability of healthcare providers during their daily medical activities. The Android and iOS platform was used to create the mobile EHR application. The first working version was completed in 5 months and required 1,080 development hours. The mobile EHR application provides patient vital signs, patient data, text communication, and integrated EHR. The application allows our healthcare providers to know the status of patients within and outside the hospital environment. The application provides a consistent user environment on several compatible Android and iOS devices. A group of 10 beta testers has consistently used and maintained our copy of the application, suggesting user acceptance. We are developing the integrated mobile EHR application with the goals of implementing an environment that is user-friendly, implementing a patient-centered system, and increasing the hospital's competitiveness.

Feedback about Astronomical Application Developments for Mobile Devices

NASA Astrophysics Data System (ADS)

Schaaff, A.; Boch, T.; Fernique, P.; Houpin, R.; Kaestlé, V.; Royer, M.; Scheffmann, J.; Weiler, A.

2013-10-01

Within a few years, Smartphones have become the standard for mobile telephony, and we are now witnessing a rapid development of Internet tablets. These mobile devices have enough powerful hardware features to run more and more complex applications. In the field of astronomy it is not only possible to use these tools to access data via a simple browser, but also to develop native applications reusing libraries (Java for Android, Objective-C for iOS) developed for desktops. We have been working for two years on mobile application development and we now have the skills in native iOS and Android development, Web development (especially HTML5, JavaScript, CSS3) and conversion tools (PhoneGap) from Web development to native applications. The biggest change comes from human/computer interaction that is radically changed by the use of multitouch. This interaction requires a redesign of interfaces to take advantage of new features (simultaneous selections in different parts of the screen, etc.). In the case of native applications, the distribution is usually done through online stores (App Store, Google Play, etc.) which gives visibility to a wider audience. Our approach is not only to perform testing of materials and developing of prototypes, but also operational applications. The native application development is costly in development time, but the possibilities are broader because it is possible to use native hardware such as the gyroscope and the accelerometer, to point out an object in the sky. Development depends on the Web browser and the rendering and performance are often very different between different browsers. It is also possible to convert Web developments to native applications, but currently it is better to restrict this possibility to light applications in terms of functionality. Developments in HTML5 are promising but are far behind those available on desktops. HTML5 has the advantage of allowing development independent from the evolution of the mobile

Design of multi-language trading system of ethnic characteristic agricultural products based on android

NASA Astrophysics Data System (ADS)

Huanqin, Wu; Yasheng, Jin; Yugang, Dai

2017-06-01

Under the current situation where Internet technology develops rapidly, mobile E-commerce technology has brought great convenience to our life. Now, the graphical user interface (GUI) of most E-commerce platforms only supports Chinese. Thus, the development of Android client of E-commerce that supports ethnic languages owns a great prospect. The principle that combines front end design and database technology is adopted in this paper to construct the Android client system of E-commerce platforms that supports ethnic languages, which realizes the displaying, browsing, querying, searching, trading and other functions of ethnic characteristic agricultural products on android platforms.

Eyeblink Synchrony in Multimodal Human-Android Interaction

PubMed Central

Tatsukawa, Kyohei; Nakano, Tamami; Ishiguro, Hiroshi; Yoshikawa, Yuichiro

2016-01-01

As the result of recent progress in technology of communication robot, robots are becoming an important social partner for humans. Behavioral synchrony is understood as an important factor in establishing good human-robot relationships. In this study, we hypothesized that biasing a human’s attitude toward a robot changes the degree of synchrony between human and robot. We first examined whether eyeblinks were synchronized between a human and an android in face-to-face interaction and found that human listeners’ eyeblinks were entrained to android speakers’ eyeblinks. This eyeblink synchrony disappeared when the android speaker spoke while looking away from the human listeners but was enhanced when the human participants listened to the speaking android while touching the android’s hand. These results suggest that eyeblink synchrony reflects a qualitative state in human-robot interactions. PMID:28009014

The Implementation of Blended Learning Using Android-Based Tutorial Video in Computer Programming Course II

NASA Astrophysics Data System (ADS)

Huda, C.; Hudha, M. N.; Ain, N.; Nandiyanto, A. B. D.; Abdullah, A. G.; Widiaty, I.

2018-01-01

Computer programming course is theoretical. Sufficient practice is necessary to facilitate conceptual understanding and encouraging creativity in designing computer programs/animation. The development of tutorial video in an Android-based blended learning is needed for students’ guide. Using Android-based instructional material, students can independently learn anywhere and anytime. The tutorial video can facilitate students’ understanding about concepts, materials, and procedures of programming/animation making in detail. This study employed a Research and Development method adapting Thiagarajan’s 4D model. The developed Android-based instructional material and tutorial video were validated by experts in instructional media and experts in physics education. The expert validation results showed that the Android-based material was comprehensive and very feasible. The tutorial video was deemed feasible as it received average score of 92.9%. It was also revealed that students’ conceptual understanding, skills, and creativity in designing computer program/animation improved significantly.

Using Android-Based Educational Game for Learning Colloid Material

NASA Astrophysics Data System (ADS)

Sari, S.; Anjani, R.; Farida, I.; Ramdhani, M. A.

2017-09-01

This research is based on the importance of the development of student’s chemical literacy on Colloid material using Android-based educational game media. Educational game products are developed through research and development design. In the analysis phase, material analysis is performed to generate concept maps, determine chemical literacy indicators, game strategies and set game paths. In the design phase, product packaging is carried out, then validation and feasibility test are performed. Research produces educational game based on Android that has the characteristics that is: Colloid material presented in 12 levels of game in the form of questions and challenges, presents visualization of discourse, images and animation contextually to develop the process of thinking and attitude. Based on the analysis of validation and trial results, the product is considered feasible to use.

Determination of surgical variables for a brain shift correction pipeline using an Android application

NASA Astrophysics Data System (ADS)

Vijayan, Rohan; Conley, Rebekah H.; Thompson, Reid C.; Clements, Logan W.; Miga, Michael I.

2016-03-01

Brain shift describes the deformation that the brain undergoes from mechanical and physiological effects typically during a neurosurgical or neurointerventional procedure. With respect to image guidance techniques, brain shift has been shown to compromise the fidelity of these approaches. In recent work, a computational pipeline has been developed to predict "brain shift" based on preoperatively determined surgical variables (such as head orientation), and subsequently correct preoperative images to more closely match the intraoperative state of the brain. However, a clinical workflow difficulty in the execution of this pipeline has been acquiring the surgical variables by the neurosurgeon prior to surgery. In order to simplify and expedite this process, an Android, Java-based application designed for tablets was developed to provide the neurosurgeon with the ability to orient 3D computer graphic models of the patient's head, determine expected location and size of the craniotomy, and provide the trajectory into the tumor. These variables are exported for use as inputs for the biomechanical models of the preoperative computing phase for the brain shift correction pipeline. The accuracy of the application's exported data was determined by comparing it to data acquired from the physical execution of the surgeon's plan on a phantom head. Results indicated good overlap of craniotomy predictions, craniotomy centroid locations, and estimates of patient's head orientation with respect to gravity. However, improvements in the app interface and mock surgical setup are needed to minimize error.

Android malware detection based on evolutionary super-network

NASA Astrophysics Data System (ADS)

Yan, Haisheng; Peng, Lingling

2018-04-01

In the paper, an android malware detection method based on evolutionary super-network is proposed in order to improve the precision of android malware detection. Chi square statistics method is used for selecting characteristics on the basis of analyzing android authority. Boolean weighting is utilized for calculating characteristic weight. Processed characteristic vector is regarded as the system training set and test set; hyper edge alternative strategy is used for training super-network classification model, thereby classifying test set characteristic vectors, and it is compared with traditional classification algorithm. The results show that the detection method proposed in the paper is close to or better than traditional classification algorithm. The proposed method belongs to an effective Android malware detection means.

Architecture for high performance stereoscopic game rendering on Android

NASA Astrophysics Data System (ADS)

Flack, Julien; Sanderson, Hugh; Shetty, Sampath

2014-03-01

Stereoscopic gaming is a popular source of content for consumer 3D display systems. There has been a significant shift in the gaming industry towards casual games for mobile devices running on the Android™ Operating System and driven by ARM™ and other low power processors. Such systems are now being integrated directly into the next generation of 3D TVs potentially removing the requirement for an external games console. Although native stereo support has been integrated into some high profile titles on established platforms like Windows PC and PS3 there is a lack of GPU independent 3D support for the emerging Android platform. We describe a framework for enabling stereoscopic 3D gaming on Android for applications on mobile devices, set top boxes and TVs. A core component of the architecture is a 3D game driver, which is integrated into the Android OpenGL™ ES graphics stack to convert existing 2D graphics applications into stereoscopic 3D in real-time. The architecture includes a method of analyzing 2D games and using rule based Artificial Intelligence (AI) to position separate objects in 3D space. We describe an innovative stereo 3D rendering technique to separate the views in the depth domain and render directly into the display buffer. The advantages of the stereo renderer are demonstrated by characterizing the performance in comparison to more traditional render techniques, including depth based image rendering, both in terms of frame rates and impact on battery consumption.

Population resizing on fitness improvement genetic algorithm to optimize promotion visit route based on android and google maps API

NASA Astrophysics Data System (ADS)

Listyorini, Tri; Muzid, Syafiul

2017-06-01

The promotion team of Muria Kudus University (UMK) has done annual promotion visit to several senior high schools in Indonesia. The visits were done to numbers of schools in Kudus, Jepara, Demak, Rembang and Purwodadi. To simplify the visit, each visit round is limited to 15 (fifteen) schools. However, the team frequently faces some obstacles during the visit, particularly in determining the route that they should take toward the targeted school. It is due to the long distance or the difficult route to reach the targeted school that leads to elongated travel duration and inefficient fuel cost. To solve these problems, the development of a certain application using heuristic genetic algorithm method based on the dynamic of population size or Population Resizing on Fitness lmprovement Genetic Algorithm (PRoFIGA), was done. This android-based application was developed to make the visit easier and to determine a shorter route for the team, hence, the visiting period will be effective and efficient. The result of this research was an android-based application to determine the shortest route by combining heuristic method and Google Maps Application Programming lnterface (API) that display the route options for the team.

Analysis of Android Device-Based Solutions for Fall Detection

PubMed Central

Casilari, Eduardo; Luque, Rafael; Morón, María-José

2015-01-01

Falls are a major cause of health and psychological problems as well as hospitalization costs among older adults. Thus, the investigation on automatic Fall Detection Systems (FDSs) has received special attention from the research community during the last decade. In this area, the widespread popularity, decreasing price, computing capabilities, built-in sensors and multiplicity of wireless interfaces of Android-based devices (especially smartphones) have fostered the adoption of this technology to deploy wearable and inexpensive architectures for fall detection. This paper presents a critical and thorough analysis of those existing fall detection systems that are based on Android devices. The review systematically classifies and compares the proposals of the literature taking into account different criteria such as the system architecture, the employed sensors, the detection algorithm or the response in case of a fall alarms. The study emphasizes the analysis of the evaluation methods that are employed to assess the effectiveness of the detection process. The review reveals the complete lack of a reference framework to validate and compare the proposals. In addition, the study also shows that most research works do not evaluate the actual applicability of the Android devices (with limited battery and computing resources) to fall detection solutions. PMID:26213928

Analysis of Android Device-Based Solutions for Fall Detection.

PubMed

Casilari, Eduardo; Luque, Rafael; Morón, María-José

2015-07-23

Falls are a major cause of health and psychological problems as well as hospitalization costs among older adults. Thus, the investigation on automatic Fall Detection Systems (FDSs) has received special attention from the research community during the last decade. In this area, the widespread popularity, decreasing price, computing capabilities, built-in sensors and multiplicity of wireless interfaces of Android-based devices (especially smartphones) have fostered the adoption of this technology to deploy wearable and inexpensive architectures for fall detection. This paper presents a critical and thorough analysis of those existing fall detection systems that are based on Android devices. The review systematically classifies and compares the proposals of the literature taking into account different criteria such as the system architecture, the employed sensors, the detection algorithm or the response in case of a fall alarms. The study emphasizes the analysis of the evaluation methods that are employed to assess the effectiveness of the detection process. The review reveals the complete lack of a reference framework to validate and compare the proposals. In addition, the study also shows that most research works do not evaluate the actual applicability of the Android devices (with limited battery and computing resources) to fall detection solutions.

Android Based Mobile Environment for Moodle Users

ERIC Educational Resources Information Center

de Clunie, Gisela T.; Clunie, Clifton; Castillo, Aris; Rangel, Norman

2013-01-01

This paper is about the development of a platform that eases, throughout Android based mobile devices, mobility of users of virtual courses at Technological University of Panama. The platform deploys computational techniques such as "web services," design patterns, ontologies and mobile technologies to allow mobile devices communicate…

Commingling effect of gynoid and android fat patterns on cardiometabolic dysregulation in normal weight American adults.

PubMed

Okosun, I S; Seale, J P; Lyn, R

2015-05-18

To determine the independent and commingling effect of android and gynoid percent fat (measured using Dual Energy X-Ray Absorptiometry) on cardiometabolic dysregulation in normal weight American adults. The 2005-2006 data (n=1802) from the United States National Health and Nutritional Examination Surveys (NHANES) were used in this study. Associations of android percent fat, gynoid percent fat and their joint occurrence with risks of cardiometabolic risk factors were estimated using prevalence odds ratios from logistic regression analyses. Android-gynoid percent fat ratio was more highly correlated with cardiometabolic dysregulation than android percent fat, gynoid percent fat or body mass index. Commingling of android and gynoid adiposities was associated with much greater odds of cardiometabolic risk factors than either android or gynoid adiposities. Commingling of android and gynoid adiposities was associated with 1.75 (95% confidence interval (CI)=1.42-2.93), 1.48 (95% CI=1.32-1.91), 1.61 (95% CI=1.50-1.89), 3.56 (95% CI=2.91-4.11) and 1.86 (95% CI=1.49-1.96) increased odds of elevated glucose, elevated blood pressure, elevated low-density lipoprotein-cholesterol, elevated triglyceride and low high-density lipoprotein-cholesterol, respectively. Normal weight subjects who present with both android and gynoid adiposities should be advised of the associated health risks. Both android and gynoid fat accumulations should be considered in developing public health strategies for reducing cardiometabolic disease risk in normal weight subjects.

EEG Recording and Online Signal Processing on Android: A Multiapp Framework for Brain-Computer Interfaces on Smartphone

PubMed Central

Debener, Stefan; Emkes, Reiner; Volkening, Nils; Fudickar, Sebastian; Bleichner, Martin G.

2017-01-01

Objective Our aim was the development and validation of a modular signal processing and classification application enabling online electroencephalography (EEG) signal processing on off-the-shelf mobile Android devices. The software application SCALA (Signal ProCessing and CLassification on Android) supports a standardized communication interface to exchange information with external software and hardware. Approach In order to implement a closed-loop brain-computer interface (BCI) on the smartphone, we used a multiapp framework, which integrates applications for stimulus presentation, data acquisition, data processing, classification, and delivery of feedback to the user. Main Results We have implemented the open source signal processing application SCALA. We present timing test results supporting sufficient temporal precision of audio events. We also validate SCALA with a well-established auditory selective attention paradigm and report above chance level classification results for all participants. Regarding the 24-channel EEG signal quality, evaluation results confirm typical sound onset auditory evoked potentials as well as cognitive event-related potentials that differentiate between correct and incorrect task performance feedback. Significance We present a fully smartphone-operated, modular closed-loop BCI system that can be combined with different EEG amplifiers and can easily implement other paradigms. PMID:29349070

EEG Recording and Online Signal Processing on Android: A Multiapp Framework for Brain-Computer Interfaces on Smartphone.

PubMed

Blum, Sarah; Debener, Stefan; Emkes, Reiner; Volkening, Nils; Fudickar, Sebastian; Bleichner, Martin G

2017-01-01

Our aim was the development and validation of a modular signal processing and classification application enabling online electroencephalography (EEG) signal processing on off-the-shelf mobile Android devices. The software application SCALA (Signal ProCessing and CLassification on Android) supports a standardized communication interface to exchange information with external software and hardware. In order to implement a closed-loop brain-computer interface (BCI) on the smartphone, we used a multiapp framework, which integrates applications for stimulus presentation, data acquisition, data processing, classification, and delivery of feedback to the user. We have implemented the open source signal processing application SCALA. We present timing test results supporting sufficient temporal precision of audio events. We also validate SCALA with a well-established auditory selective attention paradigm and report above chance level classification results for all participants. Regarding the 24-channel EEG signal quality, evaluation results confirm typical sound onset auditory evoked potentials as well as cognitive event-related potentials that differentiate between correct and incorrect task performance feedback. We present a fully smartphone-operated, modular closed-loop BCI system that can be combined with different EEG amplifiers and can easily implement other paradigms.

Android-assisted physics mobile learning to improve senior high school students' divergent thinking skills and physics HOTS

NASA Astrophysics Data System (ADS)

Mardiana, Nana; Kuswanto, Heru

2017-08-01

The aims of the research concerned here were to reveal (1) the characteristics of Android-assisted PML (physics mobile learning) to improve SMA (sekolah menengah atas, Indonesian senior high school) students' divergent thinking skills and physics HOTS (higher order thinking skills); (2) the feasibility of the Android-assisted PML; and (3) the influence of using the Android-assisted PML on improvement in SMA students' divergent thinking skills and physics HOTS. The7 research was of the R&D (research and development) type, adapted from theBorg-&-Gall development model. The research data were analyzed by means of MANOVA with the significance level of 5%. The results are as follows. (1) The product of the development, a learning media in software form with the android package(apk) format, is named PML (to refer to Physics Mobile Learning), which has such characterictics as being operable with use of Android devicesand being very good in quality in the aspect oflearning, material, software technology, and audiovisual appearance. 2) The developed learning media referred to as PML is appropriate for learning activity according to evaluation by a material expert, a media expert, peer reviewers, and physics teachers as well as according to results of students' tryouts. (3) The use of the Android-assisted PML media product could improve SMA students' divergent thinking skillsand physics HOTS with the respective high-category gain scores of 0.701 and 0.759.

Porting Extremely Lightweight Intrusion Detection (ELIDe) to Android

DTIC Science & Technology

2015-10-01

ARL-TN-0681 ● OCT 2015 US Army Research Laboratory Porting Extremely Lightweight Intrusion Detection (ELIDe) to Android by...Lightweight Intrusion Detection (ELIDe) to Android by Ken F Yu and Garret S Payer Computational and Information Sciences Directorate, ARL...

Use of an Android application "clinometer" for measurement of head down tilt given during subarachnoid block.

PubMed

Dixit, R B; Neema, M M

2016-01-01

Head down tilt is given to patients after sub arachnoid block for adjustment of height of block. However, the amount of tilt given is subjective and cannot be documented. We used an android application named "clinometer" to measure exact degree of tilt given by anesthesiologists as their routine practice. This observational study, at a medical college hospital, was done in 130 patients given sub arachnoid block for lower abdominal surgeries. We observed and documented vital data of patients and measured tilt given by application "clinometer." We observed that the application was easy to use and measured tilt each time. The result obtained can be documented, digitally saved and transferred. In 130 patients studied, we observed incidence of degree of tilt as follows: 6-8° tilt in 38 patients (29.23%), 8-10 in 36 patients (27.69%), 10-12 in 30 patients (23.08%), 12-14 in 12 patients (9.23%) and 14-16° tilt in 14 patients (10.77%). Use of application was received with enthusiasm by practicing anesthesiologists. Various possible uses of this application are discussed.

Programming Education with a Blocks-Based Visual Language for Mobile Application Development

ERIC Educational Resources Information Center

Mihci, Can; Ozdener, Nesrin

2014-01-01

The aim of this study is to assess the impact upon academic success of the use of a reference block-based visual programming tool, namely the MIT App Inventor for Android, as an educational instrument for teaching object-oriented GUI-application development (CS2) concepts to students; who have previously completed a fundamental programming course…

Leaf-IT: An Android application for measuring leaf area.

PubMed

Schrader, Julian; Pillar, Giso; Kreft, Holger

2017-11-01

The use of plant functional traits has become increasingly popular in ecological studies because plant functional traits help to understand key ecological processes in plant species and communities. This also includes changes in diversity, inter- and intraspecific interactions, and relationships of species at different spatiotemporal scales. Leaf traits are among the most important traits as they describe key dimensions of a plant's life history strategy. Further, leaf area is a key parameter with relevance for other traits such as specific leaf area, which in turn correlates with leaf chemical composition, photosynthetic rate, leaf longevity, and carbon investment. Measuring leaf area usually involves the use of scanners and commercial software and can be difficult under field conditions. We present Leaf-IT, a new smartphone application for measuring leaf area and other trait-related areas. Leaf-IT is free, designed for scientific purposes, and runs on Android 4 or higher. We tested the precision and accuracy using objects with standardized area and compared the area measurements of real leaves with the well-established, commercial software WinFOLIA using the Altman-Bland method. Area measurements of standardized objects show that Leaf-IT measures area with high accuracy and precision. Area measurements with Leaf-IT of real leaves are comparable to those of WinFOLIA. Leaf-IT is an easy-to-use application running on a wide range of smartphones. That increases the portability and use of Leaf-IT and makes it possible to measure leaf area under field conditions typical for remote locations. Its high accuracy and precision are similar to WinFOLIA. Currently, its main limitation is margin detection of damaged leaves or complex leaf morphologies.

A new android smartphone app for geospatial mapping from drones and kites

NASA Astrophysics Data System (ADS)

Anderson, Karen; Griffiths, Dave; Debell, Leon; Steve, Hancock; James, Duffy; Jamie, Shutler; Liam, Reinhardt; Griffiths, Amber; Threadgill, Katie

2016-04-01

This paper will describe the development, testing and deployment of a free-to-use, open-source, android-based smartphone application for capturing geo-tagged aerial photographs for grass-roots remote sensing (RS) and mapping applications. Historically, RS data have been acquired from sensors on platforms such as piloted aircraft or satellites but a new self-service, and to some extent, 'grassroots' (participatory and distributed) RS revolution is underway making use of drones and kites as platforms for proximal observations of environmental phenomena. There are a growing number of papers in the geosciences and in landscape ecology utilising such platforms for cost-effective, self-service acquisition of RS data. These platforms cannot carry the heavy payloads used on satellites or aircraft, but they offer a more flexible way of gathering responsive survey data, and their low flying capability means that very fine-grained data can be captured easily. The current scientific focus for drone- and kite-based aerial mapping relies on automatically-triggered camera systems, followed by complex post-processing algorithms (e.g. computer vision-based 'structure-from-motion' software) to convert the resulting aerial photography data into orthorectified maps and point clouds. Whilst these approaches generate high quality products, for many applications the complexity is a barrier to uptake. Wiring the camera to an autopilot trigger is non-trivial, and the post-processing stage demands expensive and complex software and high performance computing. For many basic mapping applications, the workflow is too complex and the detail in the products exceed what is really needed. We asked: what if a basic smartphone, with its plethora of on-board sensors (accelerometer, GPS, compass, camera) could be used to generate ready-to-use spatial data from lightweight aerial platforms such as drones or kites? We built an android application to test the capability of standard smartphones as remote

Commingling effect of gynoid and android fat patterns on cardiometabolic dysregulation in normal weight American adults

PubMed Central

Okosun, I S; Seale, J P; Lyn, R

2015-01-01

Aim: To determine the independent and commingling effect of android and gynoid percent fat (measured using Dual Energy X-Ray Absorptiometry) on cardiometabolic dysregulation in normal weight American adults. Methods: The 2005–2006 data (n=1802) from the United States National Health and Nutritional Examination Surveys (NHANES) were used in this study. Associations of android percent fat, gynoid percent fat and their joint occurrence with risks of cardiometabolic risk factors were estimated using prevalence odds ratios from logistic regression analyses. Results: Android-gynoid percent fat ratio was more highly correlated with cardiometabolic dysregulation than android percent fat, gynoid percent fat or body mass index. Commingling of android and gynoid adiposities was associated with much greater odds of cardiometabolic risk factors than either android or gynoid adiposities. Commingling of android and gynoid adiposities was associated with 1.75 (95% confidence interval (CI)=1.42–2.93), 1.48 (95% CI=1.32–1.91), 1.61 (95% CI=1.50–1.89), 3.56 (95% CI=2.91–4.11) and 1.86 (95% CI=1.49–1.96) increased odds of elevated glucose, elevated blood pressure, elevated low-density lipoprotein-cholesterol, elevated triglyceride and low high-density lipoprotein-cholesterol, respectively. Conclusions: Normal weight subjects who present with both android and gynoid adiposities should be advised of the associated health risks. Both android and gynoid fat accumulations should be considered in developing public health strategies for reducing cardiometabolic disease risk in normal weight subjects. PMID:25985091

Impressions of Humanness for Android Robot may Represent an Endophenotype for Autism Spectrum Disorders.

PubMed

Kumazaki, Hirokazu; Warren, Zachary; Swanson, Amy; Yoshikawa, Yuichiro; Matsumoto, Yoshio; Ishiguro, Hiroshi; Sarkar, Nilanjan; Minabe, Yoshio; Kikuchi, Mitsuru

2018-02-01

Identification of meaningful endophenotypes may be critical to unraveling the etiology and pathophysiology of autism spectrum disorders (ASD). We investigated whether impressions of "humanness" for android robot might represent a candidate characteristic of an ASD endophenotype. We used a female type of android robot with an appearance similar to that of a real person. Significant differences in overall impressions of 'humanness' for android robot were found between adolescents with ASD and typical development (TD) controls, as well as parents of children with ASD and parents of TD controls. Our current work does suggest robotic systems could potentially play an intelligent role in dissecting ASD heterogeneity.

Research on water management system based on Android

NASA Astrophysics Data System (ADS)

Li, Dongjiang; Hu, Songlin

2018-04-01

With the rapid development of Smart city, Smart water is an important part of Smart city, which is paid more and more attention. It obtains and deals with urban water information through information technology. It can effectively manage urban water supply, The sale of water and other processes. At the same time, due to the popularity of Smartphones, Smartphone applications have covered every aspect of life and become an indispensable part of people's daily life. Through the Smartphone applications, the user can achieve online mobile water purchase, query the water situation, water quality and other basic situation, greatly facilitate the use of the user, for wisdom water construction is of great significance. In this paper, the water management system based on Android is designed and implemented according to the user's needs. It includes intelligent water meter terminal, monitoring center server, Smartphone application and wireless communication network. The user can use the Smartphone at any time and at any place to view the user's water information in real time providing great convenience for users. So its application prospect is very broad as an important part of smart city.

Evaluating the usability of a virtual reality-based Android application in managing the pain experience of wheelchair users.

PubMed

Spyridonis, Fotios; Gronli, Tor-Morten; Hansen, Jarle; Ghinea, Gheorghita

2012-01-01

Pain constitutes an important medical concern that can have severe implications to a wheelchair user's quality of life. Results from studies indicate that pain is a common problem in this group of individuals, having a reported frequency of always (12%) and everyday (33%). This incidence signifies the need for more applicable and effective pain management clinical tools. As a result, in this paper we present an Android application (PainDroid) that has been enhanced with Virtual Reality (VR) technology for the purpose of improving the management of pain. Our evaluation with a group of wheelchair users revealed that PainDroid demonstrated high usability among this population, and is foreseen that it can make an important contribution in research on the assessment and management of pain.

Effect of android to gynoid fat ratio on insulin resistance in obese youth.

PubMed

Aucouturier, Julien; Meyer, Martine; Thivel, David; Taillardat, Michel; Duché, Pascale

2009-09-01

Upper body fat distribution is associated with the early development of insulin resistance in obese children and adolescents. To determine if an android to gynoid fat ratio is associated with the severity of insulin resistance in obese children and adolescents, whereas peripheral subcutaneous fat may have a protective effect against insulin resistance. The pediatric department of University Hospital, Clermont-Ferrand, France. A retrospective analysis using data from medical consultations between January 2005 and January 2007. Data from 66 obese children and adolescents coming to the hospital for medical consultation were used in this study. Subjects were stratified into tertiles of android to gynoid fat ratio determined by dual-energy x-ray absorptiometry. Insulin resistance was assessed by the homeostasis model of insulin resistance (HOMA-IR) index. There were no differences in weight, body mass index, and body fat percentage between tertiles. Values of HOMA-IR were significantly increased in the 2 higher tertiles (mean [SD], tertile 2, 2.73 [1.41]; tertile 3, 2.89 [1.28]) compared with the lower tertile (tertile 1, 1.67 [1.24]) of android to gynoid fat ratio (P < .001). The HOMA-IR value was significantly associated with android to gynoid fat ratio (r = 0.35; P < .01). Android fat distribution is associated with an increased insulin resistance in obese children and adolescents. An android to gynoid fat ratio based on dual-energy x-ray absorptiometry measurements is a useful and simple technique to assess distribution of body fat associated with an increased risk of insulin resistance.

Android Application Model of "Suami Siaga Plus" as an Innovation in Birth Preparedness and Complication Readiness (BP/CR) Intervention.

PubMed

Santoso, Hanna Yuanita Dana; Supriyana, Supriyana; Bahiyatun, Bahiyatun; Widyawati, Melyana Nurul; Fatmasari, Diyah; Sudiyono, Sudiyono; Widyastari, Dyah Anantalia; Sinaga, Doni Marisi

2017-03-01

Objective: WHO recommends Mobile health , a practice of medicine and public health supported by mobile devices, to improve community health status and change people's behavior for the health purposes. The present study sought to examine the effectiveness of the android application program of Suami Siaga Plus in increasing husband's scores in birth preparedness and complication readiness (BP/CR) intervention. Materials and methods: It was a randomized controlled trial with pretest-posttest design. A total of 38 couples of husbands and pregnant women from three health centers at three sub districts in Semarang was selected by proportional systematic random sampling technique and equally distributed into control and intervention group. A questionnaire related to BP/CR published by JHPIEGO was employed in data collection. Statistical analysis was performed to obtain the frequency distribution and percentage of the variables, and also to assess the mean difference of BP/CR score of husbands. Results: Husbands' knowledge of key danger signs and five standard elements in BP/CR practices in both intervention and control group increased after counseling. Moreover, the proportion of husbands who understand the key danger signs during pregnancy was higher among those who were exposed by Suami Siaga Plus application delivered via mobile phone. Counseling only increased husbands' score from 61.5 to 62.6 (2%), whilst the combination of counseling and the application boosted 20% of husbands' score from 60.4 to 72.9 (p-value 0.000). Conclusion: A combination of counseling and Suami Siaga Plus application significantly improves husbands and wives' score on BP/CR compared to those who received counseling only. The data suggests the application would be able to suppress the three delays, which in turn can reduce the maternal mortality rate. The study results could be important information for the Department of Health and health professionals to use android application program , in

Developing an Android-Based Patient Decision Aid Based on Ottawa Standards for Patients After Kidney Transplant and Its Usability Evaluation.

PubMed

Zare Moayedi, Mahboobeh; Aslani, Azam; Fakhrahmad, Mostafa; Ezzatzadegan J, Shahrokh

2018-01-01

This study was conducted to develop an android based patient decision aid (PDA) as a self-care instrument for patients after kidney transplant and its usability evaluation. In this study, the systematic development process of Android-based self-care application for patients after kidney transplant based on Ottawa standard was included: scoping, assemble steering group, analysis of requirements, designing, develop of a prototype and system evaluation. The PDA is a self-triage system that will help early identification of risk symptoms in patients, and help manage them. System recommendations for risk signs are: Refer to the nearest hospital or healthcare center without delay, refer to the doctor and tell your doctor in the next visit. To identify patient care needs, a semi-structured interview with members of steering group, including patients and clinical experts, was conducted by the researchers. A prototype of the decision aid was made according to identified needs in the previous step. Finally, in order to evaluate its usability rate by using the System Usability Scale (SUS) questionnaire, it was used by exerts and patients. This study identified information needs, risk signs and steps that patients need to make appropriate decisions about them. The main capabilities of the decision aid are features such as reminders for appointment/test, time of taking medication, registration of symptoms, weight, blood pressure, body temperature, advising to patient in case of signs of risk, weight, blood pressure, body temperature and test results which were reported in the diagram. The mean score of system's usability evaluated by medical informatics specialists, clinicians, and patients were 88.33, 95, and 91. PDAs was usable and desirable from the point of view of medical informatics specialists, clinicians and patients.

Migrating Dari Clustergen Flite Text-to-Speech Voice from Desktop to Android

DTIC Science & Technology

2014-09-01

Fig. 2 Android SDK Manager included in Eclipse ........................................................................7 Fig. 3 Android C Compiler...9 Android Flite Engine project imported to Eclipse .............................................................15 Fig. 10 Main page of the...17 Fig. 13 Building “libttsflite.so” in Eclipse using NDK ...............................................................18 Fig. 14

A predictive model for recurrence in patients with glottic cancer implemented in a mobile application for Android.

PubMed

Jover-Esplá, Ana Gabriela; Palazón-Bru, Antonio; Folgado-de la Rosa, David Manuel; Severá-Ferrándiz, Guillermo; Sancho-Mestre, Manuela; de Juan-Herrero, Joaquín; Gil-Guillén, Vicente Francisco

2018-05-01

The existing predictive models of laryngeal cancer recurrence present limitations for clinical practice. Therefore, we constructed, internally validated and implemented in a mobile application (Android) a new model based on a points system taking into account the internationally recommended statistical methodology. This longitudinal prospective study included 189 patients with glottic cancer in 2004-2016 in a Spanish region. The main variable was time-to-recurrence, and its potential predictors were: age, gender, TNM classification, stage, smoking, alcohol consumption, and histology. A points system was developed to predict five-year risk of recurrence based on a Cox model. This was validated internally by bootstrapping, determining discrimination (C-statistics) and calibration (smooth curves). A total of 77 patients presented recurrence (40.7%) in a mean follow-up period of 3.4 ± 3.0 years. The factors in the model were: age, lymph node stage, alcohol consumption and stage. Discrimination and calibration were satisfactory. A points system was developed to obtain the probability of recurrence of laryngeal glottic cancer in five years, using five clinical variables. Our system should be validated externally in other geographical areas. Copyright © 2018 Elsevier Ltd. All rights reserved.

Comprehension-Driven Program Analysis (CPA) for Malware Detection in Android Phones

DTIC Science & Technology

2015-07-01

COMPREHENSION-DRIVEN PROGRAM ANALYSIS (CPA) FOR MALWARE DETECTION IN ANDROID PHONES IOWA STATE UNIVERSITY JULY 2015 FINAL...DRIVEN PROGRAM ANALYSIS (CPA) FOR MALWARE DETECTION IN ANDROID PHONES Sb. GRANT NUMBER N/A Sc. PROGRAM ELEMENT NUMBER 6 1101E 6. AUTHOR(S) Sd...machine analysis system to detect novel, sophisticated Android malware. (c) An innovative library summarization technique and its incorporation in

Destination Information System for Bandung City Using Location-Based Services (LBS) on Android

NASA Astrophysics Data System (ADS)

Kurniawan, B.; Pranoto, H.

2018-02-01

Bandung is a city in West Java, Indonesia with many interesting locations to visit. For most favourite destinations, we can easily look for it on Google and we will find some blogs there discussing about related content. The problem is we can not guarantee that the destination is frequented by visitor. In this research, we utilizes an application to help everyone choosing destination frequented by visitor. The use of information technology in the form of picture, maps, and textual on Android application makes it possible for user to have information about destination with its visitor in a period of time. If destination has visit history, selection of proper destination will be given with fresh informations. This application can run well on Android Lollipop (API Level 21) or above with a minimum RAM of 2 GB since it will compare two coordinates for every data. The use of this app make it possible to access information about location with its visitor history and could help choosing proper destinations for the users.

Indoor integrated navigation and synchronous data acquisition method for Android smartphone

NASA Astrophysics Data System (ADS)

Hu, Chunsheng; Wei, Wenjian; Qin, Shiqiao; Wang, Xingshu; Habib, Ayman; Wang, Ruisheng

2015-08-01

Smartphones are widely used at present. Most smartphones have cameras and kinds of sensors, such as gyroscope, accelerometer and magnet meter. Indoor navigation based on smartphone is very important and valuable. According to the features of the smartphone and indoor navigation, a new indoor integrated navigation method is proposed, which uses MEMS (Micro-Electro-Mechanical Systems) IMU (Inertial Measurement Unit), camera and magnet meter of smartphone. The proposed navigation method mainly involves data acquisition, camera calibration, image measurement, IMU calibration, initial alignment, strapdown integral, zero velocity update and integrated navigation. Synchronous data acquisition of the sensors (gyroscope, accelerometer and magnet meter) and the camera is the base of the indoor navigation on the smartphone. A camera data acquisition method is introduced, which uses the camera class of Android to record images and time of smartphone camera. Two kinds of sensor data acquisition methods are introduced and compared. The first method records sensor data and time with the SensorManager of Android. The second method realizes open, close, data receiving and saving functions in C language, and calls the sensor functions in Java language with JNI interface. A data acquisition software is developed with JDK (Java Development Kit), Android ADT (Android Development Tools) and NDK (Native Development Kit). The software can record camera data, sensor data and time at the same time. Data acquisition experiments have been done with the developed software and Sumsang Note 2 smartphone. The experimental results show that the first method of sensor data acquisition is convenient but lost the sensor data sometimes, the second method is much better in real-time performance and much less in data losing. A checkerboard image is recorded, and the corner points of the checkerboard are detected with the Harris method. The sensor data of gyroscope, accelerometer and magnet meter have

Development and Validation of a Smartphone Heart Rate Acquisition Application for Health Promotion and Wellness Telehealth Applications

PubMed Central

Gregoski, Mathew J.; Mueller, Martina; Vertegel, Alexey; Shaporev, Aleksey; Jackson, Brenda B.; Frenzel, Ronja M.; Sprehn, Sara M.; Treiber, Frank A.

2012-01-01

Objective. Current generation smartphones' video camera technologies enable photoplethysmographic (PPG) acquisition and heart rate (HR) measurement. The study objective was to develop an Android application and compare HRs derived from a Motorola Droid to electrocardiograph (ECG) and Nonin 9560BT pulse oximeter readings during various movement-free tasks. Materials and Methods. HRs were collected simultaneously from 14 subjects, ages 20 to 58, healthy or with clinical conditions, using the 3 devices during 5-minute periods while at rest, reading aloud under observation, and playing a video game. Correlation between the 3 devices was determined, and Bland-Altman plots for all possible pairs of devices across all conditions assessed agreement. Results. Across conditions, all device pairs showed high correlations. Bland-Altman plots further revealed the Droid as a valid measure for HR acquisition. Across all conditions, the Droid compared to ECG, 95% of the data points (differences between devices) fell within the limits of agreement. Conclusion. The Android application provides valid HRs at varying levels of movement free mental/perceptual motor exertion. Lack of electrode patches or wireless sensor telemetric straps make it advantageous for use in mobile-cell-phone-delivered health promotion and wellness programs. Further validation is needed to determine its applicability while engaging in physical movement-related activities. PMID:22272197

Development and validation of a smartphone heart rate acquisition application for health promotion and wellness telehealth applications.

PubMed

Gregoski, Mathew J; Mueller, Martina; Vertegel, Alexey; Shaporev, Aleksey; Jackson, Brenda B; Frenzel, Ronja M; Sprehn, Sara M; Treiber, Frank A

2012-01-01

Objective. Current generation smartphones' video camera technologies enable photoplethysmographic (PPG) acquisition and heart rate (HR) measurement. The study objective was to develop an Android application and compare HRs derived from a Motorola Droid to electrocardiograph (ECG) and Nonin 9560BT pulse oximeter readings during various movement-free tasks. Materials and Methods. HRs were collected simultaneously from 14 subjects, ages 20 to 58, healthy or with clinical conditions, using the 3 devices during 5-minute periods while at rest, reading aloud under observation, and playing a video game. Correlation between the 3 devices was determined, and Bland-Altman plots for all possible pairs of devices across all conditions assessed agreement. Results. Across conditions, all device pairs showed high correlations. Bland-Altman plots further revealed the Droid as a valid measure for HR acquisition. Across all conditions, the Droid compared to ECG, 95% of the data points (differences between devices) fell within the limits of agreement. Conclusion. The Android application provides valid HRs at varying levels of movement free mental/perceptual motor exertion. Lack of electrode patches or wireless sensor telemetric straps make it advantageous for use in mobile-cell-phone-delivered health promotion and wellness programs. Further validation is needed to determine its applicability while engaging in physical movement-related activities.

Using Mobile App Development Tools to Build a GIS Application

NASA Astrophysics Data System (ADS)

Mital, A.; Catchen, M.; Mital, K.

2014-12-01

Our group designed and built working web, android, and IOS applications using different mapping libraries as bases on which to overlay fire data from NASA. The group originally planned to make app versions for Google Maps, Leaflet, and OpenLayers. However, because the Leaflet library did not properly load on Android, the group focused efforts on the other two mapping libraries. For Google Maps, the group first designed a UI for the web app and made a working version of the app. After updating the source of fire data to one which also provided historical fire data, the design had to be modified to include the extra data. After completing a working version of the web app, the group used webview in android, a built in resource which allowed porting the web app to android without rewriting the code for android. Upon completing this, the group found Apple IOS devices had a similar capability, and so decided to add an IOS app to the project using a function similar to webview. Alongside this effort, the group began implementing an OpenLayers fire map using a simpler UI. This web app was completed fairly quickly relative to Google Maps; however, it did not include functionality such as satellite imagery or searchable locations. The group finished the project with a working android version of the Google Maps based app supporting API levels 14-19 and an OpenLayers based app supporting API levels 8-19, as well as a Google Maps based IOS app supporting both old and new screen formats. This project was implemented by high school and college students under an SGT Inc. STEM internship program

Comparison and characterization of Android-based fall detection systems.

PubMed

Luque, Rafael; Casilari, Eduardo; Morón, María-José; Redondo, Gema

2014-10-08

Falls are a foremost source of injuries and hospitalization for seniors. The adoption of automatic fall detection mechanisms can noticeably reduce the response time of the medical staff or caregivers when a fall takes place. Smartphones are being increasingly proposed as wearable, cost-effective and not-intrusive systems for fall detection. The exploitation of smartphones' potential (and in particular, the Android Operating System) can benefit from the wide implantation, the growing computational capabilities and the diversity of communication interfaces and embedded sensors of these personal devices. After revising the state-of-the-art on this matter, this study develops an experimental testbed to assess the performance of different fall detection algorithms that ground their decisions on the analysis of the inertial data registered by the accelerometer of the smartphone. Results obtained in a real testbed with diverse individuals indicate that the accuracy of the accelerometry-based techniques to identify the falls depends strongly on the fall pattern. The performed tests also show the difficulty to set detection acceleration thresholds that allow achieving a good trade-off between false negatives (falls that remain unnoticed) and false positives (conventional movements that are erroneously classified as falls). In any case, the study of the evolution of the battery drain reveals that the extra power consumption introduced by the Android monitoring applications cannot be neglected when evaluating the autonomy and even the viability of fall detection systems.

Comparison and Characterization of Android-Based Fall Detection Systems

PubMed Central

Luque, Rafael; Casilari, Eduardo; Morón, María-José; Redondo, Gema

2014-01-01

Falls are a foremost source of injuries and hospitalization for seniors. The adoption of automatic fall detection mechanisms can noticeably reduce the response time of the medical staff or caregivers when a fall takes place. Smartphones are being increasingly proposed as wearable, cost-effective and not-intrusive systems for fall detection. The exploitation of smartphones' potential (and in particular, the Android Operating System) can benefit from the wide implantation, the growing computational capabilities and the diversity of communication interfaces and embedded sensors of these personal devices. After revising the state-of-the-art on this matter, this study develops an experimental testbed to assess the performance of different fall detection algorithms that ground their decisions on the analysis of the inertial data registered by the accelerometer of the smartphone. Results obtained in a real testbed with diverse individuals indicate that the accuracy of the accelerometry-based techniques to identify the falls depends strongly on the fall pattern. The performed tests also show the difficulty to set detection acceleration thresholds that allow achieving a good trade-off between false negatives (falls that remain unnoticed) and false positives (conventional movements that are erroneously classified as falls). In any case, the study of the evolution of the battery drain reveals that the extra power consumption introduced by the Android monitoring applications cannot be neglected when evaluating the autonomy and even the viability of fall detection systems. PMID:25299953

First aid manual in an android environment.

PubMed

Theodoromanolakis, Panos; Zygouras, Nikolaos; Mantas, John

2013-01-01

The First Aid Manual constitutes a detailed guide which contains useful information and suggested acts for potential pathogenic conditions in everyday life, given in an Android environment. The aim of the project is the capability of eliciting information regarding First Aid, by means of a widespread use device, such as smartphones. For the conduction of the project a database was used, into which the information was incorporated, in order to be later reloaded into the Eclipse environment. It will there receive its final form as an executable file for android cellphones. The executable file axx.apk originated an application which, providing the user with 6 main categories (definition, epidemiological evidence, aggravating factors, symptoms, what to do, what to avoid, acts) gives them access to an easy navigation and enables them to provide first grade care, without the requirement of any previous experience. The more and more advanced needs of the modern lifestyle, combined with technological achievements have created a complex system of social fabric, having of course an effect also on the area of human accidents. Hence, First Aid information given in the environment of a mobile phone can prove to be a useful tool for anyone, in case of an accident.

Smartphone applications: A contemporary resource for dermatopathology.

PubMed

Hanna, Matthew G; Parwani, Anil V; Pantanowitz, Liron; Punjabi, Vinod; Singh, Rajendra

2015-01-01

Smartphone applications in medicine are becoming increasingly prevalent. Given that most pathologists and pathology trainees today use smartphones, an obvious modality for pathology education is through smartphone applications. "MyDermPath" is a novel smartphone application that was developed as an interactive reference tool for dermatology and dermatopathology, available for iOS and Android. "MyDermPath" was developed using Apple Xcode and Google Android SDK. Dermatology images (static and virtual slides) were annotated and configured into an algorithmic format. Each image comprised educational data (diagnosis, clinical information, histopathology, special stains, differential diagnosis, clinical management, linked PubMed references). Added functionality included personal note taking, pop quiz, and image upload capabilities. A website was created (http://mydermpath.com) to mirror the app. The application was released in August 2011 and updated in November 2013. More than 1,100 reference diagnoses, with over 2,000 images are available via the application and website. The application has been downloaded approximately 14,000 times. The application is available for use on iOS and Android platforms. Smartphone applications have tremendous potential for advancing pathology education. "MyDermPath" represents an interactive reference tool for dermatology and dermatopathologists.

Developing a Framework for Evaluating the Patient Engagement, Quality, and Safety of Mobile Health Applications.

PubMed

Singh, Karandeep; Drouin, Kaitlin; Newmark, Lisa P; Rozenblum, Ronen; Lee, Jaeho; Landman, Adam; Pabo, Erika; Klinger, Elissa V; Bates, David W

2016-02-01

Rising ownership of smartphones and tablets across social and demographic groups has made mobile applications, or apps, a potentially promising tool for engaging patients in their health care, particularly those with high health care needs. Through a systematic search of iOS (Apple) and Android app stores and an analysis of apps targeting individuals with chronic illnesses, we assessed the degree to which apps are likely to be useful in patient engagement efforts. Usefulness was determined based on the following criteria: description of engagement, relevance to the targeted patient population, consumer ratings and reviews, and most recent app update. Among the 1,046 health care-related, patient-facing applications identified by our search, 43 percent of iOS apps and 27 percent of Android apps appeared likely to be useful. We also developed criteria for evaluating the patient engagement, quality, and safety of mobile apps.

Use of an Android application “clinometer” for measurement of head down tilt given during subarachnoid block

PubMed Central

Dixit, RB; Neema, MM

2016-01-01

Context: Head down tilt is given to patients after sub arachnoid block for adjustment of height of block. However, the amount of tilt given is subjective and cannot be documented. Aims: We used an android application named “clinometer” to measure exact degree of tilt given by anesthesiologists as their routine practice. Settings and Design: This observational study, at a medical college hospital, was done in 130 patients given sub arachnoid block for lower abdominal surgeries. Materials and Methods: We observed and documented vital data of patients and measured tilt given by application “clinometer.” Results: We observed that the application was easy to use and measured tilt each time. The result obtained can be documented, digitally saved and transferred. In 130 patients studied, we observed incidence of degree of tilt as follows: 6-8° tilt in 38 patients (29.23%), 8-10 in 36 patients (27.69%), 10-12 in 30 patients (23.08%), 12-14 in 12 patients (9.23%) and 14-16° tilt in 14 patients (10.77%). Use of application was received with enthusiasm by practicing anesthesiologists. Various possible uses of this application are discussed. PMID:26955307

AccessMRS: integrating OpenMRS with smart forms on Android.

PubMed

Fazen, Louis E; Chemwolo, Benjamin T; Songok, Julia J; Ruhl, Laura J; Kipkoech, Carolyne; Green, James M; Ikemeri, Justus E; Christoffersen-Deb, Astrid

2013-01-01

We present a new open-source Android application, AccessMRS, for interfacing with an electronic medical record system (OpenMRS) and loading 'Smart Forms' on a mobile device. AccessMRS functions as a patient-centered interface for viewing OpenMRS data; managing patient information in reminders, task lists, and previous encounters; and launching patient-specific 'Smart Forms' for electronic data collection and dissemination of health information. We present AccessMRS in the context of related software applications we developed to serve Community Health Workers, including AccessInfo, AccessAdmin, AccessMaps, and AccessForms. The specific features and design of AccessMRS are detailed in relationship to the requirements that drove development: the workflows of the Kenyan Ministry of Health Community Health Volunteers (CHVs) supported by the AMPATH Primary Health Care Program. Specifically, AccessMRS was designed to improve the quality of community-based Maternal and Child Health services delivered by CHVs in Kosirai Division. AccessMRS is currently in use by more than 80 CHVs in Kenya and undergoing formal assessment of acceptability, effectiveness, and cost.

Development of a mobile application for amphibian species recognition

NASA Astrophysics Data System (ADS)

Parveen, B.; H, Chew T.; Shamsir, M. S.; Ahmad, N.

2014-02-01

The smartphones mobility and its pervasiveness are beginning to transform practices in biodiversity conservation. The integrated functionalities of a smartphone have created for the public and biodiversity specialists means to identify, gather and record biodiversity data while simultaneously creating knowledge portability in the digital forms of mobile guides. Smartphones enable beginners to recreate the delight of species identification usually reserved for specialist with years of experience. Currently, the advent of Android platform has enabled stakeholders in biodiversity to harness the ubiquity of this platform and create various types of mobile application or "apps" for use in biodiversity research and conservation. However, there is an apparent lack of application devoted to the identification in herpetofauna or amphibian science. Amphibians are a large class of animals with many different species still unidentified under this category. Here we describe the development of an app called Amphibian Recognition Android Application (ARAA) to identify frog amphibian species as well as an accompanying field guide. The app has the amphibian taxonomic key which assists the users in easy and rapid species identification, thus facilitating the process of identification and recording of species occurrences in conservation work. We will also present an overview of the application work flow and how it is designed to meet the needs a conservationist. As this application is still in its beta phase, further research is required to improve the application to include tools such automatic geolocation and geotagging, participative sensing via crowdsourcing and automated identification via image capture. We believe that the introduction of this app will create an impetus to the awareness of nature via species identification.

A comparison of the characteristics of iOS and Android users of a smoking cessation app.

PubMed

Ubhi, Harveen Kaur; Kotz, Daniel; Michie, Susan; van Schayck, Onno C P; West, Robert

2017-06-01

iOS and Android smartphone users may differ in ways that affect their use and likelihood of success when using a smoking cessation application (app). If so, it may be necessary to take the device type (iOS and Android) into account when designing smoking cessation apps and in studies evaluating app effectiveness. How do socio-demographic and smoking characteristics, potentially relevant to engagement and cessation outcomes, of the SF28 app users differ between those using the iOS version and those using the Android version? Data were collected between October 2013 and April 2015. The variables measured were age, gender, social grade, time since the most recent quit attempt, choice of medication use (nicotine replacement therapy or varenicline), weekly expenditure on cigarettes, cigarettes smoked per day, reason for using the app and quit date set. The alpha was set to p < 0.006 to adjust for multiple comparisons. A total of 1368 users were included in the analysis. iOS and Android device users were similar in terms of age, social grade, weekly expenditure on cigarettes and cigarettes smoked per day. Compared with Android users, iOS users were more likely to have downloaded the app for a serious quit attempt (74.3 versus 69.6%, p = 0.001), made a quit attempt within the last 12 months (59.6 versus 45.9%, p < 0.001) and set their quit date on the day of registration (61 versus 46.2%, p < 0.001). They were less likely to have used stop-smoking medication to support their quit attempt (31.5 versus 48.6%, p < 0.001). Differences between smokers using the iOS version of smoking cessation apps and those using the Android version may influence quit success.

Content and structure of knowledge base used for virtual control of android arm motion in specified environment

NASA Astrophysics Data System (ADS)

Pritykin, F. N.; Nebritov, V. I.

2018-01-01

The paper presents the configuration of knowledge base necessary for intelligent control of android arm mechanism motion with different positions of certain forbidden regions taken into account. The present structure of the knowledge base characterizes the past experience of arm motion synthesis in the vector of velocities with due regard for the known obstacles. This structure also specifies its intrinsic properties. Knowledge base generation is based on the study of the arm mechanism instantaneous states implementations. Computational experiments connected with the virtual control of android arm motion with known forbidden regions using the developed knowledge base are introduced. Using the developed knowledge base to control virtually the arm motion reduces the time of test assignments calculation. The results of the research can be used in developing control systems of autonomous android robots in the known in advance environment.

Sleeping with an Android

PubMed Central

2017-01-01

Sleep quality and duration are strong indicators of an individual’s health and quality of lifebut they are difficult to track in everyday life. Mobile apps such as Sleep as Android leverage smartphone sensors to track sleep patterns and make recommendations to improve sleeping habits. PMID:28293622

The information system of pregnant womans' health nutritious based on android (Case study: Puskesmas Mopah Merauke)

NASA Astrophysics Data System (ADS)

Letsoin, Sri Murniani Angelina; Kolyaan, Yuliana; Cahyadi, Dedy

2017-02-01

The cause of maternal mortality can be divided into two, the direct cause and indirect cause. One of the indirect causes is too difficult to reach health services and the lack of pregnancy knowledge. On the other hand, Android smartphone development of communications technology has increased compared to users of other devices, e.g. blackberry, which has dropped from 11.5% to 4.8% while the android market share has grown from 46.9% up to 68.1%. This increasing is being an opportunity for the software developers to design some software based on Android. The aim of this study was to facilitate the pregnant women to find out some information about the nutritional health, abstinence, calculate gestational age and nutrition based on the period of pregnancy. The information system was designed by using UML, the Eclipse IDE with the java programming language, MySQL as the database. The testing results showed that the nutrition information system based on android could help pregnant women to obtain health nutrition information such as nutrition, calories, dietary restrictions that should be avoided during the first month to the nine month of pregnancy, and the calculation of gestation.

Smartphone applications: A contemporary resource for dermatopathology

PubMed Central

Hanna, Matthew G.; Parwani, Anil V.; Pantanowitz, Liron; Punjabi, Vinod; Singh, Rajendra

2015-01-01

Introduction: Smartphone applications in medicine are becoming increasingly prevalent. Given that most pathologists and pathology trainees today use smartphones, an obvious modality for pathology education is through smartphone applications. “MyDermPath” is a novel smartphone application that was developed as an interactive reference tool for dermatology and dermatopathology, available for iOS and Android. Materials and Methods: “MyDermPath” was developed using Apple Xcode and Google Android SDK. Dermatology images (static and virtual slides) were annotated and configured into an algorithmic format. Each image comprised educational data (diagnosis, clinical information, histopathology, special stains, differential diagnosis, clinical management, linked PubMed references). Added functionality included personal note taking, pop quiz, and image upload capabilities. A website was created (http://mydermpath.com) to mirror the app. Results: The application was released in August 2011 and updated in November 2013. More than 1,100 reference diagnoses, with over 2,000 images are available via the application and website. The application has been downloaded approximately 14,000 times. The application is available for use on iOS and Android platforms. Conclusions: Smartphone applications have tremendous potential for advancing pathology education. “MyDermPath” represents an interactive reference tool for dermatology and dermatopathologists. PMID:26284155

Energy consumption estimation of an OMAP-based Android operating system

NASA Astrophysics Data System (ADS)

González, Gabriel; Juárez, Eduardo; Castro, Juan José; Sanz, César

2011-05-01

System-level energy optimization of battery-powered multimedia embedded systems has recently become a design goal. The poor operational time of multimedia terminals makes computationally demanding applications impractical in real scenarios. For instance, the so-called smart-phones are currently unable to remain in operation longer than several hours. The OMAP3530 processor basically consists of two processing cores, a General Purpose Processor (GPP) and a Digital Signal Processor (DSP). The former, an ARM Cortex-A8 processor, is aimed to run a generic Operating System (OS) while the latter, a DSP core based on the C64x+, has architecture optimized for video processing. The BeagleBoard, a commercial prototyping board based on the OMAP processor, has been used to test the Android Operating System and measure its performance. The board has 128 MB of SDRAM external memory, 256 MB of Flash external memory and several interfaces. Note that the clock frequency of the ARM and DSP OMAP cores is 600 MHz and 430 MHz, respectively. This paper describes the energy consumption estimation of the processes and multimedia applications of an Android v1.6 (Donut) OS on the OMAP3530-Based BeagleBoard. In addition, tools to communicate the two processing cores have been employed. A test-bench to profile the OS resource usage has been developed. As far as the energy estimates concern, the OMAP processor energy consumption model provided by the manufacturer has been used. The model is basically divided in two energy components. The former, the baseline core energy, describes the energy consumption that is independent of any chip activity. The latter, the module active energy, describes the energy consumed by the active modules depending on resource usage.

Mobile Konami Codes: Analysis of Android Malware Services Utilizing Sensor and Resource-Based State Changes

DTIC Science & Technology

2015-03-01

our focus will remain on Android rather than being all-inclusive of others such as iOS, Blackberry 10, and Windows Phone. The proof-of-concept...the attack surface for malicious applications to compromise vulnerable Services grows . Additionally, Services also have a life cycle with

Portable electrocardiogram device using Android smartphone.

PubMed

Brucal, S G E; Clamor, G K D; Pasiliao, L A O; Soriano, J P F; Varilla, L P M

2016-08-01

Portable electrocardiogram (ECG) capturing device can be interfaced to a smart phone installed with an android-based application (app). This app processes and analyses the data sent by the device to provide an interpretation of the patient/user's heart current condition (e.g.: beats per minute, heart signal waveform, R-R interval). The ECG recorded by the app is stored in the smart phone's Secure Digital (SD) card and cloud storage which can be accessed remotely by a physician to aid in providing medical diagnosis. The project aims to help patients living at a far distance from hospitals and experience difficulty in consulting their physician for regular check-ups, and assist doctors in regularly monitoring their patient's heart condition. The hardware data acquisition device and software application were subjected to trials in a clinic with volunteer-patients to measure the ECG and heart rate, data saving speed on the SD card, success rate of the saved data and uploaded file. Different ECG tests using the project prototype were done for 12 patients/users and yielded a reading difference of 7.61% in an R-R interval reading and 5.35% in heart rate reading as compared with the cardiologist's conventional 12-electrode ECG machine. Using the developed ECG device, it took less than 5 seconds to save ECG reading using SD card and approximately 2 minutes to upload via cloud.

Comparision and analysis of top 10 exercise android Apps in mainland China.

PubMed

Wang, Yanling; Sun, Liu; Xu, Yahong; Xiao, Qian; Chang, Polun; Wu, Ying

2015-01-01

Medical guidelines highly recommend physical activity and aerobic exercise in the prevention of primary and secondary cardiovascular disease. The use of exercise-promoting application software may improve clinical outcomes for cardiovascular disease (CVD) patients. The study aimed to compare and analyze the functions of the top 10 exercise Android Apps which had more than 1,000,000 downloads from the main four Android App stores in mainland China. The results showed that most of these popular apps had pedometer, exercise plan preset, user data presentation, user encouragement and community sharing functions while a few of them had exercise video clips or animation support and wearable devices. Given these data, the conclusion is that these popular apps fulfill some of the functions recommended by medical guidelines, however, lack of some functions such as pre-exercise risk assessment, the exercise intensity recording, specific instructions by professionals, and monitoring functions for CVD patients.

Chroni - an Android Application for Geochronologists to Access Archived Sample Analyses from the NSF-Funded Geochron.Org Data Repository.

NASA Astrophysics Data System (ADS)

Nettles, J. J.; Bowring, J. F.

2014-12-01

NSF requires data management plans as part of funding proposals and geochronologists, among other scientists, are archiving their data and results to the public cloud archives managed by the NSF-funded Integrated Earth Data Applications, or IEDA. GeoChron is a database for geochronology housed within IEDA. The software application U-Pb_Redux developed at the Cyber Infrastructure Research and Development Lab for the Earth Sciences (CIRDLES.org) at the College of Charleston provides seamless connectivity to GeoChron for uranium-lead (U-Pb) geochronologists to automatically upload and retrieve their data and results. U-Pb_Redux also manages publication-quality documents including report tables and graphs. CHRONI is a lightweight mobile application for Android devices that provides easy access to these archived data and results. With CHRONI, U-Pb geochronologists can view archived data and analyses downloaded from the Geochron database, or any other location, in a customizable format. CHRONI uses the same extensible markup language (XML) schema and documents used by U-Pb_Redux and GeoChron. Report Settings are special XML files that can be customized in U-Pb_Redux, stored in the cloud, and then accessed and used in CHRONI to create the same customized data display on the mobile device. In addition to providing geologists effortless and mobile access to archived data and analyses, CHRONI allows users to manage their GeoChron credentials, quickly download private and public files via a specified IEDA International Geo Sample Number (IGSN) or URL, and view specialized graphics associated with particular IGSNs. Future versions of CHRONI will be developed to support iOS compatible devices. CHRONI is an open source project under the Apache 2 license and is hosted at https://github.com/CIRDLES/CHRONI. We encourage community participation in its continued development.

Realtime Space Weather Forecasts Via Android Phone App

NASA Astrophysics Data System (ADS)

Crowley, G.; Haacke, B.; Reynolds, A.

2010-12-01

For the past several years, ASTRA has run a first-principles global 3-D fully coupled thermosphere-ionosphere model in real-time for space weather applications. The model is the Thermosphere-Ionosphere Mesosphere Electrodynamics General Circulation Model (TIMEGCM). ASTRA also runs the Assimilative Mapping of Ionospheric Electrodynamics (AMIE) in real-time. Using AMIE to drive the high latitude inputs to the TIMEGCM produces high fidelity simulations of the global thermosphere and ionosphere. These simulations can be viewed on the Android Phone App developed by ASTRA. The SpaceWeather app for the Android operating system is free and can be downloaded from the Google Marketplace. We present the current status of realtime thermosphere-ionosphere space-weather forcasting and discuss the way forward. We explore some of the issues in maintaining real-time simulations with assimilative data feeds in a quasi-operational setting. We also discuss some of the challenges of presenting large amounts of data on a smartphone. The ASTRA SpaceWeather app includes the broadest and most unique range of space weather data yet to be found on a single smartphone app. This is a one-stop-shop for space weather and the only app where you can get access to ASTRA’s real-time predictions of the global thermosphere and ionosphere, high latitude convection and geomagnetic activity. Because of the phone's GPS capability, users can obtain location specific vertical profiles of electron density, temperature, and time-histories of various parameters from the models. The SpaceWeather app has over 9000 downloads, 30 reviews, and a following of active users. It is clear that real-time space weather on smartphones is here to stay, and must be included in planning for any transition to operational space-weather use.

MedAd-AppQ: A quality assessment tool for medication adherence apps on iOS and android platforms.

PubMed

Ali, Eskinder Eshetu; Teo, Amanda Kai Sin; Goh, Sherlyn Xue Lin; Chew, Lita; Yap, Kevin Yi-Lwern

2018-02-02

With the recent proliferation of smartphone medication adherence applications (apps), it is increasingly more difficult for patients and clinicians to identify the most useful app. To develop a quality assessment tool for medication adherence apps, and evaluate the quality of such apps from the major app stores. In this study, a Medication Adherence App Quality assessment tool (MedAd-AppQ) was developed and two evaluators independently assessed apps that fulfilled the following criteria: availability in English, had at least a medication reminder feature, non-specific to certain disease conditions (generic apps), free of technical malfunctions and availability on both the iPhone Operating System (iOS) and Android platforms. Descriptive statistics, Mann-Whitney U test, Pearson product moment correlation and Spearman rank-order correlation were used for statistical analysis. MedAd-AppQ was designed to have 24 items (total 43 points) categorized under three sections: content reliability (11 points), feature usefulness (29 points) and feature convenience (3 points). The three sections of MedAd-AppQ were found to have inter-rater correlation coefficients of 0.801 (p-value < .001) or higher. Based on analysis of 52 apps (27 iOS and 25 Android), quality scores ranged between 7/43 (16.3%) and 28/43 (65.1%). There was no significant difference between the quality scores of the Android and iOS versions. None of the apps had features for self-management of side effects. Only two apps in each platform provided disease-related and/or medication information. MedAd-AppQ can be used to reliably assess the quality of adherence apps. Clinicians can use the tool in selecting apps for use by patients. Developers of adherence apps should consider features that provide therapy-related information and help patients in medications and side-effects management. Copyright © 2018 Elsevier Inc. All rights reserved.

Android and gynoid fat percentages and serum lipid levels in United States adults.

PubMed

Min, Kyoung-Bok; Min, Jin-Young

2015-03-01

Accumulating evidence suggests that fat distribution is a better predictor of cardiovascular disease than body mass index (BMI). The aim of this study was to investigate the association of android and gynoid fat percentages with lipid profiles to determine whether android and/or gynoid fat percentages are associated with serum lipid levels. A population-based cross-sectional study. Five thousand six hundred and ninety-six adults (20 years and older) who participated in the National Health and Nutrition Examination Survey 2003-2006. The regional body composition in the android and gynoid regions was defined by dual energy X-ray absorptiometry (DXA). The estimation of lipid risk profiles included total cholesterol, high-density lipoprotein (HDL) -cholesterol, low-density lipoprotein (LDL) -cholesterol and triglycerides (TG). Regardless of gender, android and gynoid body fat percentages were positively and significantly correlated with BMI and waist circumference. After adjustment for age, ethnicity, education, smoking, alcohol consumption, dyslipidaemia and BMI, increases in android fat percentage were significantly associated with total cholesterol, TG and HDL cholesterol in males, and total cholesterol, HDL cholesterol and LDL cholesterol in females. The gynoid fat percentages showed a positive correlation with total cholesterol in males, whereas gynoid fat accumulation in females showed a favourable association with TG and HDL cholesterol. The observed associations differed according to ethnic groups. Our results suggest that regional fat distribution in the android and gynoid regions have different effects on lipid profiles, and that fat in the android region, rather than the gynoid region, may be an important factor in determining the risk of cardiovascular disease. © 2014 John Wiley & Sons Ltd.

Adipocytokines, neuropeptide Y and insulin resistance in overweight women with gynoid and android type of adipose tissue distribution.

PubMed

Orbetzova, Maria M; Koleva, Daniela I; Mitkov, Mitko D; Atanassova, Iliana B; Nikolova, Julia G; Atanassova, Pepa K; Genchev, Gencho D

2012-01-01

The AIM of the study was to compare the levels of certain adipose tissue hormones in women with the two main morphological types of obesity - android and gynoid obesity. The study included 2 groups of age- and weight-matched women with android (n = 32) and gynoid (n = 27) type of obesity, and a group of age-matched healthy women (n = 24) with normal weight and body constitution. Leptin, resistin, tumour necrosis factor alpha (TNFalpha), neuropeptide Y (NPY), glucose and insulin were measured. HOMA index was calculated. Leptin levels in the women with gynoid obesity did not differ significantly from those in the controls and the women with android obesity. The controls had significantly lower leptin levels compared with the android obesity women. NPY was significantly higher in the control women compared to the women with android obesity and did not differ significantly between the two groups of obese women. TNFalpha levels in all groups were very similar. Resistin did not show significant differences between all groups but tended to have the lowest levels in the controls. In the women with android obesity, insulin was significantly higher than that in the women with gynoid obesity and the controls. Insulin resistance was found in the women with android obesity only. Basal insulin and HOMA index in the women with gynoid obesity did not differ significantly from the values in the control group. The results from this study contribute to understanding the association of adipose tissue hormones and insulin resistance in obesity. When adipose tissue is predominantly distributed in the abdominal area at similar amount and percentage of body fats, leptin production is higher and insulin resistance develops. In the gynoid type of adipose tissue predisposition, overt insulin resistance is not found, leptin levels does not differ significantly from those in the control group.

Security Concerns in Android mHealth Apps.

PubMed

He, Dongjing; Naveed, Muhammad; Gunter, Carl A; Nahrstedt, Klara

2014-01-01

Mobile Health (mHealth) applications lie outside of regulatory protection such as HIPAA, which requires a baseline of privacy and security protections appropriate to sensitive medical data. However, mHealth apps, particularly those in the app stores for iOS and Android, are increasingly handling sensitive data for both professionals and patients. This paper presents a series of three studies of the mHealth apps in Google Play that show that mHealth apps make widespread use of unsecured Internet communications and third party servers. Both of these practices would be considered problematic under HIPAA, suggesting that increased use of mHealth apps could lead to less secure treatment of health data unless mHealth vendors make improvements in the way they communicate and store data.

Bridging the Mechanical and the Human Mind: Spontaneous Mimicry of a Physically Present Android

PubMed Central

Hofree, Galit; Ruvolo, Paul; Bartlett, Marian Stewart; Winkielman, Piotr

2014-01-01

The spontaneous mimicry of others' emotional facial expressions constitutes a rudimentary form of empathy and facilitates social understanding. Here, we show that human participants spontaneously match facial expressions of an android physically present in the room with them. This mimicry occurs even though these participants find the android unsettling and are fully aware that it lacks intentionality. Interestingly, a video of that same android elicits weaker mimicry reactions, occurring only in participants who find the android “humanlike.” These findings suggest that spontaneous mimicry depends on the salience of humanlike features highlighted by face-to-face contact, emphasizing the role of presence in human-robot interaction. Further, the findings suggest that mimicry of androids can dissociate from knowledge of artificiality and experienced emotional unease. These findings have implications for theoretical debates about the mechanisms of imitation. They also inform creation of future robots that effectively build rapport and engagement with their human users. PMID:25036365

Bega - Android-Based Beergame Simulation Software for Interactive Training and Innovation

NASA Astrophysics Data System (ADS)

Lestyánszka Škůrková, Katarína; Szander, Norina

2013-12-01

The supply chain management challenges and inventory holding problems can easily be demonstrated by the widely known BeerGame simulation. In the Szabó-Szoba R&D Laboratory, we developed an android-based software application for tablets and smart phones for the purpose of having an adaptable, entertaining and effective program which can provide a real life experience to the participants about the nature of the bullwhip effect. Having an appropriate and comprehensive performance measurement system with the critical parameters and KPIs is inevitable for finding the right solutions - We used four perspectives of the Balanced Scorecard method. The innovative force of our research is based on the trainings: the discussion on outcomes and the team learning. The purpose of the current development is to build a new feature in the software: an artificial client can substitute one or more players in the supply chain, which makes decisions by using genetic algorithms.

A system for diagnosis of wheat leaf diseases based on Android smartphone

NASA Astrophysics Data System (ADS)

Xie, Xinhua; Zhang, Xiangqian; He, Bing; Liang, Dong; Zhang, Dongyang; Huang, Linsheng

2016-10-01

Owing to the shortages of inconvenience, expensive and high professional requirements etc. for conventional recognition devices of wheat leaf diseases, it does not satisfy the requirements of uploading and releasing timely investigation data in the large-scale field, which may influence the effectiveness of prevention and control for wheat diseases. In this study, a fast, accurate, and robust diagnose system of wheat leaf diseases based on android smartphone was developed, which comprises of two parts—the client and the server. The functions of the client include image acquisition, GPS positioning, corresponding, and knowledge base of disease prevention and control. The server includes image processing, feature extraction, and selection, and classifier establishing. The recognition process of the system goes as follow: when disease images were collected in fields and sent to the server by android smartphone, and then image processing of disease spots was carried out by the server. Eighteen larger weight features were selected by algorithm relief-F and as the input of Relevance Vector Machine (RVM), and the automatic identification of wheat stripe rust and powdery mildew was realized. The experimental results showed that the average recognition rate and predicted speed of RVM model were 5.56% and 7.41 times higher than that of Support Vector Machine (SVM). And application discovered that it needs about 1 minute to get the identification result. Therefore, it can be concluded that the system could be used to recognize wheat diseases and real-time investigate in fields.

Automated hydroponics nutrition plants systems using arduino uno microcontroller based on android

NASA Astrophysics Data System (ADS)

Sihombing, P.; Karina, N. A.; Tarigan, J. T.; Syarif, M. I.

2018-03-01

Technological developments today make the combination of science is very common, including in Computer Science and Agriculture to make both of science need each other. This paper aims to develop a control tool for the flow of nutrients of hydroponic plants automatically using Arduino microcontroller and controlled by smartphone. We use an Arduino Uno microcontroller to automatically control the flow of nutrient solution with logic if else. The microcontroller can also send data of fluid level (solution) and temperature around the plant to smartphone android of the owner of the hydroponics plant. The height of the nutrient solution (water) is detected by the Ultrasonic sensor HC-SR04 and the temperature is detected by the temperature sensor LM35. Data from the sensor will forward into Arduino Uno and displayed in liquid crystal display (LCD) then via wireless fidelity (WIFI) ESP8266 module will transmit the height of the nutrient solution and the temperature around of the plants to Android smartphone.

Face verification system for Android mobile devices using histogram based features

NASA Astrophysics Data System (ADS)

Sato, Sho; Kobayashi, Kazuhiro; Chen, Qiu

2016-07-01

This paper proposes a face verification system that runs on Android mobile devices. In this system, facial image is captured by a built-in camera on the Android device firstly, and then face detection is implemented using Haar-like features and AdaBoost learning algorithm. The proposed system verify the detected face using histogram based features, which are generated by binary Vector Quantization (VQ) histogram using DCT coefficients in low frequency domains, as well as Improved Local Binary Pattern (Improved LBP) histogram in spatial domain. Verification results with different type of histogram based features are first obtained separately and then combined by weighted averaging. We evaluate our proposed algorithm by using publicly available ORL database and facial images captured by an Android tablet.

Technological choices for mobile clinical applications.

PubMed

Ehrler, Frederic; Issom, David; Lovis, Christian

2011-01-01

The rise of cheaper and more powerful mobile devices make them a new and attractive platform for clinical applications. The interaction paradigm and portability of the device facilitates bedside human-machine interactions. The better accessibility to information and decision-support anywhere in the hospital improves the efficiency and the safety of care processes. In this study, we attempt to find out what are the most appropriate Operating System (OS) and Software Development Kit (SDK) to support the development of clinical applications on mobile devices. The Android platform is a Linux-based, open source platform that has many advantages. Two main SDKs are available on this platform: the native Android and the Adobe Flex SDK. Both of them have interesting features, but the latter has been preferred due its portability at comparable performance and ease of development.

Security Concerns in Android mHealth Apps

PubMed Central

He, Dongjing; Naveed, Muhammad; Gunter, Carl A.; Nahrstedt, Klara

2014-01-01

Mobile Health (mHealth) applications lie outside of regulatory protection such as HIPAA, which requires a baseline of privacy and security protections appropriate to sensitive medical data. However, mHealth apps, particularly those in the app stores for iOS and Android, are increasingly handling sensitive data for both professionals and patients. This paper presents a series of three studies of the mHealth apps in Google Play that show that mHealth apps make widespread use of unsecured Internet communications and third party servers. Both of these practices would be considered problematic under HIPAA, suggesting that increased use of mHealth apps could lead to less secure treatment of health data unless mHealth vendors make improvements in the way they communicate and store data. PMID:25954370

Validity of Scientific Based Chemistry Android Module to Empower Science Process Skills (SPS) in Solubility Equilibrium

NASA Astrophysics Data System (ADS)

Antrakusuma, B.; Masykuri, M.; Ulfa, M.

2018-04-01

Evolution of Android technology can be applied to chemistry learning, one of the complex chemistry concept was solubility equilibrium. this concept required the science process skills (SPS). This study aims to: 1) Characteristic scientific based chemistry Android module to empowering SPS, and 2) Validity of the module based on content validity and feasibility test. This research uses a Research and Development approach (RnD). Research subjects were 135 s1tudents and three teachers at three high schools in Boyolali, Central of Java. Content validity of the module was tested by seven experts using Aiken’s V technique, and the module feasibility was tested to students and teachers in each school. Characteristics of chemistry module can be accessed using the Android device. The result of validation of the module contents got V = 0.89 (Valid), and the results of the feasibility test Obtained 81.63% (by the student) and 73.98% (by the teacher) indicates this module got good criteria.

The Body Fat-Cognition Relationship in Healthy Older Individuals: Does Gynoid vs Android Distribution Matter?

PubMed

Forte, R; Pesce, C; De Vito, G; Boreham, C A G

2017-01-01

To examine the relationship between regional and whole body fat accumulation and core cognitive executive functions. Cross-sectional study. 78 healthy men and women aged between 65 and 75 years recruited through consumer's database. DXA measured percentage total body fat, android, gynoid distribution and android/gynoid ratio; inhibition and working memory updating through Random Number Generation test and cognitive flexibility by Trail Making test. First-order partial correlations between regional body fat and cognitive executive function were computed partialling out the effects of whole body fat. Moderation analysis was performed to verify the effect of gender on the body fat-cognition relationship. Results showed a differentiated pattern of fat-cognition relationship depending on fat localization and type of cognitive function. Statistically significant relationships were observed between working memory updating and: android fat (r = -0.232; p = 0.042), gynoid fat (r = 0.333; p = 0.003) and android/gynoid ratio (r = -0.272; p = 0.017). Separating genders, the only significant relationship was observed in females between working memory updating and gynoid fat (r = 0.280; p = 0.045). In spite of gender differences in both working memory updating and gynoid body fat levels, moderation analysis did not show an effect of gender on the relationship between gynoid fat and working memory updating. Results suggest a protective effect of gynoid body fat and a deleterious effect of android body fat. Although excessive body fat increases the risk of developing CDV, metabolic and cognitive problems, maintaining a certain proportion of gynoid fat may help prevent cognitive decline, particularly in older women. Guidelines for optimal body composition maintenance for the elderly should not target indiscriminate weight loss, but weight maintenance through body fat/lean mass control based on non-pharmacological tools such as physical exercise, known to have protective effects

Usability of Low-Cost Android Data Collection System for Community-Based Participatory Research.

PubMed

Salihu, Hamisu M; Salinas-Miranda, Abraham; Turner, DeAnne; King, Lindsey; Paothong, Arnut; Austin, Deborah; Berry, Estrellita Lo

2016-01-01

Android tablet computers can be valuable tools for data collection, but their usability has not been evaluated in community-based participatory research (CBPR). This article examines the usability of a low-cost bilingual touchscreen computerized survey system using Android tablets, piloted with a sample of 201 community residents in Tampa, Florida, from November 2013 to March 2014. Needs assessment questions were designed with the droidSURVEY software, and deployed using Android tablet computers. In addition, participants were asked questions about system usability. The mean system usability was 77.57 ± 17.66 (range, 0-100). The mean completion time for taking the 63 survey questions in the needs assessment was 23.11 ± 9.62 minutes. The survey completion rate was optimal (100%), with only 6.34% missingness per variable. We found no sociodemographic differences in usability scores. Our findings indicate that Android tablets could serve as useful tools in CBPR studies.

Remote stereoscopic video play platform for naked eyes based on the Android system

NASA Astrophysics Data System (ADS)

Jia, Changxin; Sang, Xinzhu; Liu, Jing; Cheng, Mingsheng

2014-11-01

As people's life quality have been improved significantly, the traditional 2D video technology can not meet people's urgent desire for a better video quality, which leads to the rapid development of 3D video technology. Simultaneously people want to watch 3D video in portable devices,. For achieving the above purpose, we set up a remote stereoscopic video play platform. The platform consists of a server and clients. The server is used for transmission of different formats of video and the client is responsible for receiving remote video for the next decoding and pixel restructuring. We utilize and improve Live555 as video transmission server. Live555 is a cross-platform open source project which provides solutions for streaming media such as RTSP protocol and supports transmission of multiple video formats. At the receiving end, we use our laboratory own player. The player for Android, which is with all the basic functions as the ordinary players do and able to play normal 2D video, is the basic structure for redevelopment. Also RTSP is implemented into this structure for telecommunication. In order to achieve stereoscopic display, we need to make pixel rearrangement in this player's decoding part. The decoding part is the local code which JNI interface calls so that we can extract video frames more effectively. The video formats that we process are left and right, up and down and nine grids. In the design and development, a large number of key technologies from Android application development have been employed, including a variety of wireless transmission, pixel restructuring and JNI call. By employing these key technologies, the design plan has been finally completed. After some updates and optimizations, the video player can play remote 3D video well anytime and anywhere and meet people's requirement.

An experimental result of estimating an application volume by machine learning techniques.

PubMed

Hasegawa, Tatsuhito; Koshino, Makoto; Kimura, Haruhiko

2015-01-01

In this study, we improved the usability of smartphones by automating a user's operations. We developed an intelligent system using machine learning techniques that periodically detects a user's context on a smartphone. We selected the Android operating system because it has the largest market share and highest flexibility of its development environment. In this paper, we describe an application that automatically adjusts application volume. Adjusting the volume can be easily forgotten because users need to push the volume buttons to alter the volume depending on the given situation. Therefore, we developed an application that automatically adjusts the volume based on learned user settings. Application volume can be set differently from ringtone volume on Android devices, and these volume settings are associated with each specific application including games. Our application records a user's location, the volume setting, the foreground application name and other such attributes as learning data, thereby estimating whether the volume should be adjusted using machine learning techniques via Weka.

Development of a point-of-care HIV/AIDS medication dosing support system using the Android mobile platform.

PubMed

Sadasivam, Rajani S; Gathibandhe, Vaibhav; Tanik, Murat M; Willig, James H

2012-06-01

Medication dosing errors can greatly reduce HIV treatment effectiveness as incorrect dosing leads to drug resistance and non-adherence. In order to dose correctly, HIV therapy providers must balance several patient characteristics such as renal functions and weight. In developing countries and other resource-limited settings, dosing errors are more likely because treatment is provided by mid-level providers with only basic training in HIV therapy. These providers also typically lack electronic tools informing medical decisions. Widespread adoption of mobile phones in developing nations offers an opportunity to implement a point-of-care system to help providers reduce dosing errors. We discuss the development of the mHIV-Dr system prototype using the new Android mobile platform. mHIV-Dr is being designed to provide dosing recommendations for front-line providers in developing countries. We also discuss the additional challenges in the implementation of the mHIV-Dr system in a resource limited setting.

Instrumentation for laser physics and spectroscopy using 32-bit microcontrollers with an Android tablet interface

NASA Astrophysics Data System (ADS)

Eyler, E. E.

2013-10-01

Several high-performance lab instruments suitable for manual assembly have been developed using low-pin-count 32-bit microcontrollers that communicate with an Android tablet via a USB interface. A single Android tablet app accommodates multiple interface needs by uploading parameter lists and graphical data from the microcontrollers, which are themselves programmed with easily modified C code. The hardware design of the instruments emphasizes low chip counts and is highly modular, relying on small "daughter boards" for special functions such as USB power management, waveform generation, and phase-sensitive signal detection. In one example, a daughter board provides a complete waveform generator and direct digital synthesizer that fits on a 1.5 in. × 0.8 in. circuit card.

Impressions of Humanness for Android Robot May Represent an Endophenotype for Autism Spectrum Disorders

ERIC Educational Resources Information Center

Kumazaki, Hirokazu; Warren, Zachary; Swanson, Amy; Yoshikawa, Yuichiro; Matsumoto, Yoshio; Ishiguro, Hiroshi; Sarkar, Nilanjan; Minabe, Yoshio; Kikuchi, Mitsuru

2018-01-01

Identification of meaningful endophenotypes may be critical to unraveling the etiology and pathophysiology of autism spectrum disorders (ASD). We investigated whether impressions of "humanness" for android robot might represent a candidate characteristic of an ASD endophenotype. We used a female type of android robot with an appearance…

The Development of Wireless Body Area Network for Motion Sensing Application

NASA Astrophysics Data System (ADS)

Puspitaningayu, P.; Widodo, A.; Yundra, E.; Ramadhany, F.; Arianto, L.; Habibie, D.

2018-04-01

The information era has driven the society into the digitally-controlled lifestyle. Wireless body area networks (WBAN) as the specific scope of wireless sensor networks (WSN) is consistently growing into bigger applications. Currently, people are able to monitor their medical parameters by simply using small electronics devices attached to their body and connected to the authorities. On top of that, this time, smart phones are typically equipped with sensors such as accelerometer, gyroscope, barometric pressure, heart rate monitor, etc. It means that the sensing yet the signal processing can be performed by a single device. Moreover, Android opens lot wider opportunities for new applications as the most popular open-sourced smart phone platform. This paper is intended to show the development of motion sensing application which focused on analysing data from accelerometer and gyroscope. Beside reads the sensors, this application also has the ability to convert the sensors’ numerical value into graphs.

Validity of "Hi_Science" as instructional media based-android refer to experiential learning model

NASA Astrophysics Data System (ADS)

Qamariah, Jumadi, Senam, Wilujeng, Insih

2017-08-01

Hi_Science is instructional media based-android in learning science on material environmental pollution and global warming. This study is aimed: (a) to show the display of Hi_Science that will be applied in Junior High School, and (b) to describe the validity of Hi_Science. Hi_Science as instructional media created with colaboration of innovative learning model and development of technology at the current time. Learning media selected is based-android and collaborated with experiential learning model as an innovative learning model. Hi_Science had adapted student worksheet by Taufiq (2015). Student worksheet had very good category by two expert lecturers and two science teachers (Taufik, 2015). This student worksheet is refined and redeveloped in android as an instructional media which can be used by students for learning science not only in the classroom, but also at home. Therefore, student worksheet which has become instructional media based-android must be validated again. Hi_Science has been validated by two experts. The validation is based on assessment of meterials aspects and media aspects. The data collection was done by media assessment instrument. The result showed the assessment of material aspects has obtained the average value 4,72 with percentage of agreement 96,47%, that means Hi_Science on the material aspects is in excellent category or very valid category. The assessment of media aspects has obtained the average value 4,53 with percentage of agreement 98,70%, that means Hi_Science on the media aspects is in excellent category or very valid category. It was concluded that Hi_Science as instructional media can be applied in the junior high school.

Calibrating accelerometer sensor on android phone with Accelerograph TDL 303 QS for earthquake online recorder

NASA Astrophysics Data System (ADS)

Riantana, R.; Darsono, D.; Triyono, A.; Azimut, H. B.

2016-11-01

Calibration of the android censor was done by placing the device in a mounting at side of accelerograph TDL 303 QS that will be a means of comparison. Leveling of both devices was set same, so that the state of the device can be assumed same anyway. Then applied vibrations in order to have the maximum amplitude value of both censor, so it can be found equality of the coefficient of proportionality both of them. The results on both devices obtain the Peak Ground Acceleration (PGA) as follows, on the x axis (EW) android censor is obtained PGA -2.4478145 gal than at TDL 303 QS obtained PGA -2.5504 gal, the y-axis (NS) on the censor android obtained PGA 3.0066964 gal than at TDL 303 QS obtained PGA 3.2073 gal, the z-axis (UD) on the android censor obtained PGA -14.0702377 gal than at TDL 303 QS obtained PGA -13.2927 gal, A correction value for android accelerometer censor is ± 0.1 gal for the x-axis (EW), ± 0.2 gal for the y-axis (NS), and ± 0.7 gal for the z-axis (UD).

Android Malware Classification Using K-Means Clustering Algorithm

NASA Astrophysics Data System (ADS)

Hamid, Isredza Rahmi A.; Syafiqah Khalid, Nur; Azma Abdullah, Nurul; Rahman, Nurul Hidayah Ab; Chai Wen, Chuah

2017-08-01

Malware was designed to gain access or damage a computer system without user notice. Besides, attacker exploits malware to commit crime or fraud. This paper proposed Android malware classification approach based on K-Means clustering algorithm. We evaluate the proposed model in terms of accuracy using machine learning algorithms. Two datasets were selected to demonstrate the practicing of K-Means clustering algorithms that are Virus Total and Malgenome dataset. We classify the Android malware into three clusters which are ransomware, scareware and goodware. Nine features were considered for each types of dataset such as Lock Detected, Text Detected, Text Score, Encryption Detected, Threat, Porn, Law, Copyright and Moneypak. We used IBM SPSS Statistic software for data classification and WEKA tools to evaluate the built cluster. The proposed K-Means clustering algorithm shows promising result with high accuracy when tested using Random Forest algorithm.

Discovering and understanding the vector field using simulation in android app

NASA Astrophysics Data System (ADS)

Budi, A.; Muliyati, D.

2018-05-01

An understanding of vector field’s concepts are fundamental parts of the electrodynamics course. In this paper, we use a simple simulation that can be used to show qualitative imaging results as a variation of the vector field. Android application packages the simulation with consideration of the efficiency of use during the lecture. In addition, this simulation also trying to cover the divergences and curl concepts from the same conditions that students have a complete understanding and can distinguish concepts that have been described only mathematically. This simulation is designed to show the relationship between the field magnitude and its potential. This application can show vector field simulations in various conditions that help to improve students’ understanding of vector field concepts and their relation to particle existence around the field vector.

An iPad and Android-based Application for Digitally Recording Geologic Field Data

NASA Astrophysics Data System (ADS)

Malinconico, L. L.; Sunderlin, D.; Liew, C.; Ho, A. S.; Bekele, K. A.

2011-12-01

Field experience is a significant component in most geology courses, especially sed/strat and structural geology. Increasingly, the spatial presentation, analysis and interpretation of geologic data is done using digital methodologies (GIS, Google Earth, stereonet and spreadsheet programs). However, students and professionals continue to collect field data manually on paper maps and in the traditional "orange field notebooks". Upon returning from the field, data are then manually transferred into digital formats for processing, mapping and interpretation. The transfer process is both cumbersome and prone to transcription error. In conjunction with the computer science department, we are in the process of developing an application (App) for iOS (the iPad) and Android platforms that can be used to digitally record data measured in the field. This is not a mapping program, but rather a way of bypassing the field book step to acquire digital data directly that can then be used in various analysis and display programs. Currently, the application allows the user to select from five different structural data situations: contact, bedding, fault, joints and "other". The user can define a folder for the collection and separation of data for each project. Observations are stored as individual records of field measurements in each folder. The exact information gathered depends on the nature of the observation, but common to all pages is the ability to log date, time, and lat/long directly from the tablet. Information like strike and dip are entered using scroll wheels and formation names are also entered using scroll wheels that access easy-to-modify lists of the area's stratigraphic units. This insures uniformity in the creation of the digital records from day-to-day and across field teams. Pictures can also be taken using the tablet's camera that are linked to each record. Once the field collection is complete the data (including images) can be easily exported to a .csv file

A new sensors-based covert channel on android.

PubMed

Al-Haiqi, Ahmed; Ismail, Mahamod; Nordin, Rosdiadee

2014-01-01

Covert channels are not new in computing systems, and have been studied since their first definition four decades ago. New platforms invoke thorough investigations to assess their security. Now is the time for Android platform to analyze its security model, in particular the two key principles: process-isolation and the permissions system. Aside from all sorts of malware, one threat proved intractable by current protection solutions, that is, collusion attacks involving two applications communicating over covert channels. Still no universal solution can countermeasure this sort of attack unless the covert channels are known. This paper is an attempt to reveal a new covert channel, not only being specific to smartphones, but also exploiting an unusual resource as a vehicle to carry covert information: sensors data. Accelerometers generate signals that reflect user motions, and malware applications can apparently only read their data. However, if the vibration motor on the device is used properly, programmatically produced vibration patterns can encode stolen data and hence an application can cause discernible effects on acceleration data to be received and decoded by another application. Our evaluations confirmed a real threat where strings of tens of characters could be transmitted errorless if the throughput is reduced to around 2.5-5 bps. The proposed covert channel is very stealthy as no unusual permissions are required and there is no explicit communication between the colluding applications.

Multi-agent integrated password management (MIPM) application secured with encryption

NASA Astrophysics Data System (ADS)

Awang, Norkhushaini; Zukri, Nurul Hidayah Ahmad; Rashid, Nor Aimuni Md; Zulkifli, Zuhri Arafah; Nazri, Nor Afifah Mohd

2017-10-01

Users use weak passwords and reuse them on different websites and applications. Password managers are a solution to store login information for websites and help users log in automatically. This project developed a system that acts as an agent managing passwords. Multi-Agent Integrated Password Management (MIPM) is an application using encryption that provides users with secure storage of their login account information such as their username, emails and passwords. This project was developed on an Android platform with an encryption agent using Java Agent Development Environment (JADE). The purpose of the embedded agents is to act as a third-party software to ease the encryption process, and in the future, the developed encryption agents can form part of the security system. This application can be used by the computer and mobile users. Currently, users log into many applications causing them to use unique passwords to prevent password leaking. The crypto agent handles the encryption process using an Advanced Encryption Standard (AES) 128-bit encryption algorithm. As a whole, MIPM is developed on the Android application to provide a secure platform to store passwords and has high potential to be commercialised for public use.

An offline-online Web-GIS Android application for fast data acquisition of landslide hazard and risk

NASA Astrophysics Data System (ADS)

Olyazadeh, Roya; Sudmeier-Rieux, Karen; Jaboyedoff, Michel; Derron, Marc-Henri; Devkota, Sanjaya

2017-04-01

Regional landslide assessments and mapping have been effectively pursued by research institutions, national and local governments, non-governmental organizations (NGOs), and different stakeholders for some time, and a wide range of methodologies and technologies have consequently been proposed. Land-use mapping and hazard event inventories are mostly created by remote-sensing data, subject to difficulties, such as accessibility and terrain, which need to be overcome. Likewise, landslide data acquisition for the field navigation can magnify the accuracy of databases and analysis. Open-source Web and mobile GIS tools can be used for improved ground-truthing of critical areas to improve the analysis of hazard patterns and triggering factors. This paper reviews the implementation and selected results of a secure mobile-map application called ROOMA (Rapid Offline-Online Mapping Application) for the rapid data collection of landslide hazard and risk. This prototype assists the quick creation of landslide inventory maps (LIMs) by collecting information on the type, feature, volume, date, and patterns of landslides using open-source Web-GIS technologies such as Leaflet maps, Cordova, GeoServer, PostgreSQL as the real DBMS (database management system), and PostGIS as its plug-in for spatial database management. This application comprises Leaflet maps coupled with satellite images as a base layer, drawing tools, geolocation (using GPS and the Internet), photo mapping, and event clustering. All the features and information are recorded into a GeoJSON text file in an offline version (Android) and subsequently uploaded to the online mode (using all browsers) with the availability of Internet. Finally, the events can be accessed and edited after approval by an administrator and then be visualized by the general public.

Development of Applications about Hazards and Preventions of Drug Based On Android

NASA Astrophysics Data System (ADS)

Hartatik; Febriyanto, F.; Munawaroh, H.

2018-03-01

The number of drug abuse was increase among the younger generation, it caused younger generation fall into drug abuse, and it will lead to physical and mental damage. The lack of knowledge of drugs danger is one of the most potential problems, so in this study we made an application about the types, dangers, and how to avoid its abusement. The application built using PHP programming language with codeiniter framework on admin part, while the parsing data between mobile application server using Javascript Object Notation (JSON). This application has been tested and 85% respondents stated that this application provides positive benefits especially for the socialization of drug abuse.

Design of an accurate wireless data logger for vibration analysis with Android interface.

PubMed

Blanco, J R; Menéndez, J; Ferrero, F J; Campo, J C; Valledor, M

2016-12-01

In this work a new accurate wireless data logger using the Android interface was developed to monitor vibrations at low-cost. The new data logger is completely autonomous and extremely reduced in size. This instrument enables data collection wirelessly and the ability to display it on any tablet or smartphone with operating system Android. The prototype allows the monitoring of any industrial system with minimal investment in material and installation costs. The data logger is capable of making 12.8 kSPS enough to sample up to 5 kHz signals. The basic specification of the data logger includes a high resolution 1-axis piezoelectric accelerometer with a working range of ±30 G. In addition to the acceleration measurements, temperature can also be recorded. The data logger was tested during a 6-month period in industrial environments. The details of the specific hardware and software design are described. The proposed technology can be easily transferred to many other areas of industrial monitoring.

Accuracy of three Android-based pedometer applications in laboratory and free-living settings.

PubMed

Leong, Jia Yan; Wong, Jyh Eiin

2017-01-01

This study examines the accuracy of three popular, free Android-based pedometer applications (apps), namely, Runtastic (RT), Pacer Works (PW), and Tayutau (TY) in laboratory and free-living settings. Forty-eight adults (22.5 ± 1.4 years) completed 3-min bouts of treadmill walking at five incremental speeds while carrying a test smartphone installed with the three apps. Experiment was repeated thrice, with the smartphone placed either in the pants pockets, at waist level, or secured to the left arm by an armband. The actual step count was manually counted by a tally counter. In the free-living setting, each of the 44 participants (21.9 ± 1.6 years) carried a smartphone with installed apps and a reference pedometer (Yamax Digi-Walker CW700) for 7 consecutive days. Results showed that TY produced the lowest mean absolute percent error (APE 6.7%) and was the only app with acceptable accuracy in counting steps in a laboratory setting. RT consistently underestimated steps with APE of 16.8% in the laboratory. PW significantly underestimated steps when the smartphone was secured to the arm, but overestimated under other conditions (APE 19.7%). TY was the most accurate app in counting steps in a laboratory setting with the lowest APE of 6.7%. In the free-living setting, the APE relative to the reference pedometer was 16.6%, 18.0%, and 16.8% for RT, PW, and TY, respectively. None of the three apps counted steps accurately in the free-living setting.

Wireless Self-Acquistion of 12-Lead ECG via Android Smart Phone

NASA Technical Reports Server (NTRS)

Schlegel, Todd T.

2012-01-01

Researchers at NASA s Johnson Space Center and at Orbital Research, Inc. (a NASA SBIR grant recipient) have recently developed a dry-electrode harness that allows for self-acquisition of resting 12-lead ECGs by minimally trained laypersons. When used in conjunction with commercial wireless (e.g., Bluetooth(TM) or 802.11-enabled) 12-lead ECG devices and custom smart phone-based software, the collected 12-lead ECG data can also immediately be forwarded from any geographic location within cellular range to the user s physician(s) of choice. The system can also be used to immediately forward to central receiving stations 12-lead ECG data collected during space flight or during activities in any remote terrestrial location supported by an internet or cellular phone infrastructure. The main novel aspects of the system are first, the dry-electrode 12-lead ECG harness itself, and second, an accompanying Android(TM) smart phone-based wireless 12-lead ECG capability. The ECG harness nominally employs dry electrodes manufactured by Orbital Research, Inc, recently cleared through the Food and Drug Administration (FDA). However, other dry electrodes that are not yet FDA cleared, for example those recently developed by Nanosonic, Inc as part of another NASA SBIR grant, can also be used. The various advantageous features of the harness include: 1) laypersons can be quickly instructed on its correct use, remotely if necessary; 2) all tangled "leadwire spaghetti" is eliminated, as is the common clinical problem of "leadwire reversal"; 3) all adhesives and disposables are also eliminated, the harness being fully reusable; if multiple individuals intend to use use the same harness, then standard antimicrobial wipes can be employed to sterilize the dry electrodes (and harness surface if needed) between users; 5) padded cushions at the lateral sides of the torso function to press the left arm (LA) and right arm (RA) dry electrodes mounted on the cushions against sideward or downward

ScaMo: Realisation of an OO-functional DSL for cross platform mobile applications development

NASA Astrophysics Data System (ADS)

Macos, Dragan; Solymosi, Andreas

2013-10-01

The software market is dynamically changing: the Internet is going mobile, the software applications are shifting from the desktop hardware onto the mobile devices. The largest markets are the mobile applications for iOS, Android and Windows Phone and for the purpose the typical programming languages include Objective-C, Java and C ♯. The realization of the native applications implies the integration of the developed software into the environments of mentioned mobile operating systems to enable the access to different hardware components of the devices: GPS module, display, GSM module, etc. This paper deals with the definition and possible implementation of an environment for the automatic application generation for multiple mobile platforms. It is based on a DSL for mobile application development, which includes the programming language Scala and a DSL defined in Scala. As part of a multi-stage cross-compiling algorithm, this language is translated into the language of the affected mobile platform. The advantage of our method lies in the expressiveness of the defined language and the transparent source code translation between different languages, which implies, for example, the advantages of debugging and development of the generated code.

An Integrated System for Wildlife Sensing

DTIC Science & Technology

2014-08-14

design requirement. “Sensor Controller” software. A custom Sensor Controller application was developed for the Android device in order to collect...and log readings from that device’s sensors. “Camera Controller” software. A custom Camera Controller application was developed for the Android device...into 2 separate Android applications (Figure 4). The Sensor Controller logs readings periodically from the Android device’s organic sensors, and

Android fat depot is more closely associated with metabolic syndrome than abdominal visceral fat in elderly people.

PubMed

Kang, Seon Mee; Yoon, Ji Won; Ahn, Hwa Young; Kim, So Yeon; Lee, Kyoung Ho; Shin, Hayley; Choi, Sung Hee; Park, Kyong Soo; Jang, Hak Chul; Lim, Soo

2011-01-01

Fat accumulation in android compartments may confer increased metabolic risk. The incremental utility of measuring regional fat deposition in association with metabolic syndrome (MS) has not been well described particularly in an elderly population. As part of the Korean Longitudinal Study on Health and Aging, which is a community-based cohort study of people aged more than 65 years, subjects (287 male, 75.9±8.6 years and 278 female, 76.0±8.8 years) with regional body composition data using Dual energy X-ray absorptiometry for android/gynoid area, computed tomography for visceral/subcutaneous adipose tissue (VAT/SAT), and cardiometabolic markers including adiponectin and high-sensitivity CRP were enrolled. We investigated the relationship between regional body composition and MS in multivariate regression models. Mean VAT and SAT area was 131.4±65.5 cm(2) and 126.9±55.2 cm(2) in men (P = 0.045) and 120.0±46.7 cm(2) and 211.8±65.9 cm(2) in women (P<0.01). Mean android and gynoid fat amount was 1.8±0.8 kg and 2.5±0.8 kg in men and 2.0±0.6 kg and 3.3±0.8 kg in women, respectively (both P<0.01). VAT area and android fat amount was strongly correlated with most metabolic risk factors compared to SAT or gynoid fat. Furthermore, android fat amount was significantly associated with clustering of MS components after adjustment for multiple parameters including age, gender, adiponectin, hsCRP, a surrogate marker of insulin resistance, whole body fat mass and VAT area. Our findings are consistent with the hypothesized role of android fat as a pathogenic fat depot in the MS. Measurement of android fat may provide a more complete understanding of metabolic risk associated with variations in fat distribution.

A New Sensors-Based Covert Channel on Android

PubMed Central

2014-01-01

Covert channels are not new in computing systems, and have been studied since their first definition four decades ago. New platforms invoke thorough investigations to assess their security. Now is the time for Android platform to analyze its security model, in particular the two key principles: process-isolation and the permissions system. Aside from all sorts of malware, one threat proved intractable by current protection solutions, that is, collusion attacks involving two applications communicating over covert channels. Still no universal solution can countermeasure this sort of attack unless the covert channels are known. This paper is an attempt to reveal a new covert channel, not only being specific to smartphones, but also exploiting an unusual resource as a vehicle to carry covert information: sensors data. Accelerometers generate signals that reflect user motions, and malware applications can apparently only read their data. However, if the vibration motor on the device is used properly, programmatically produced vibration patterns can encode stolen data and hence an application can cause discernible effects on acceleration data to be received and decoded by another application. Our evaluations confirmed a real threat where strings of tens of characters could be transmitted errorless if the throughput is reduced to around 2.5–5 bps. The proposed covert channel is very stealthy as no unusual permissions are required and there is no explicit communication between the colluding applications. PMID:25295311

iPhone, Android, or Kindle: The Emma S. Clark Memorial Library Has an App for That and So Can You

ERIC Educational Resources Information Center

Johnson, Bob; Gutmann, Ted

2013-01-01

If you are like the millions of people buying the latest smartphone, iPhone 5, or Samsung Galaxy S III, your local library should have something to offer you. The Emma S. Clark Memorial Library, for one, has an app for that! Dubbed "Emma Mobile," the library's application works with iOS (Apple), Android (Google), and Amazon Kindle Fire…

Conception of a course for professional training and education in the field of computer and mobile forensics: Part II: Android Forensics

NASA Astrophysics Data System (ADS)

Kröger, Knut; Creutzburg, Reiner

2013-03-01

The growth of Android in the mobile sector and the interest to investigate these devices from a forensic point of view has rapidly increased. Many companies have security problems with mobile devices in their own IT infrastructure. To respond to these incidents, it is important to have professional trained staff. Furthermore, it is necessary to further train their existing employees in the practical applications of mobile forensics owing to the fact that a lot of companies are trusted with very sensitive data. Inspired by these facts, this paper - a continuation of a paper of January 2012 [1] which showed the conception of a course for professional training and education in the field of computer and mobile forensics - addresses training approaches and practical exercises to investigate Android mobile devices.

Creation of an iOS and Android Mobile Application for Inferior Vena Cava (IVC) Filters: A Powerful Tool to Optimize Care of Patients with IVC Filters

PubMed Central

Deso, Steven E.; Idakoji, Ibrahim A.; Muelly, Michael C.; Kuo, William T.

2016-01-01

Owing to a myriad of inferior vena cava (IVC) filter types and their potential complications, rapid and correct identification may be challenging when encountered on routine imaging. The authors aimed to develop an interactive mobile application that allows recognition of all IVC filters and related complications, to optimize the care of patients with indwelling IVC filters. The FDA Premarket Notification Database was queried from 1980 to 2014 to identify all IVC filter types in the United States. An electronic search was then performed on MEDLINE and the FDA MAUDE database to identify all reported complications associated with each device. High-resolution photos were taken of each filter type and corresponding computed tomographic and fluoroscopic images were obtained from an institutional review board–approved IVC filter registry. A wireframe and storyboard were created, and software was developed using HTML5/CSS compliant code. The software was deployed using PhoneGap (Adobe, San Jose, CA), and the prototype was tested and refined. Twenty-three IVC filter types were identified for inclusion. Safety data from FDA MAUDE and 72 relevant peer-reviewed studies were acquired, and complication rates for each filter type were highlighted in the application. Digital photos, fluoroscopic images, and CT DICOM files were seamlessly incorporated. All data were succinctly organized electronically, and the software was successfully deployed into Android (Google, Mountain View, CA) and iOS (Apple, Cupertino, CA) platforms. A powerful electronic mobile application was successfully created to allow rapid identification of all IVC filter types and related complications. This application may be used to optimize the care of patients with IVC filters. PMID:27247483

Creation of an iOS and Android Mobile Application for Inferior Vena Cava (IVC) Filters: A Powerful Tool to Optimize Care of Patients with IVC Filters.

PubMed

Deso, Steven E; Idakoji, Ibrahim A; Muelly, Michael C; Kuo, William T

2016-06-01

Owing to a myriad of inferior vena cava (IVC) filter types and their potential complications, rapid and correct identification may be challenging when encountered on routine imaging. The authors aimed to develop an interactive mobile application that allows recognition of all IVC filters and related complications, to optimize the care of patients with indwelling IVC filters. The FDA Premarket Notification Database was queried from 1980 to 2014 to identify all IVC filter types in the United States. An electronic search was then performed on MEDLINE and the FDA MAUDE database to identify all reported complications associated with each device. High-resolution photos were taken of each filter type and corresponding computed tomographic and fluoroscopic images were obtained from an institutional review board-approved IVC filter registry. A wireframe and storyboard were created, and software was developed using HTML5/CSS compliant code. The software was deployed using PhoneGap (Adobe, San Jose, CA), and the prototype was tested and refined. Twenty-three IVC filter types were identified for inclusion. Safety data from FDA MAUDE and 72 relevant peer-reviewed studies were acquired, and complication rates for each filter type were highlighted in the application. Digital photos, fluoroscopic images, and CT DICOM files were seamlessly incorporated. All data were succinctly organized electronically, and the software was successfully deployed into Android (Google, Mountain View, CA) and iOS (Apple, Cupertino, CA) platforms. A powerful electronic mobile application was successfully created to allow rapid identification of all IVC filter types and related complications. This application may be used to optimize the care of patients with IVC filters.

QRS peak detection for heart rate monitoring on Android smartphone

NASA Astrophysics Data System (ADS)

Pambudi Utomo, Trio; Nuryani, Nuryani; Darmanto

2017-11-01

In this study, Android smartphone is used for heart rate monitoring and displaying electrocardiogram (ECG) graph. Heart rate determination is based on QRS peak detection. Two methods are studied to detect the QRS complex peak; they are Peak Threshold and Peak Filter. The acquisition of ECG data is utilized by AD8232 module from Analog Devices, three electrodes, and Microcontroller Arduino UNO R3. To record the ECG data from a patient, three electrodes are attached to particular body’s surface of a patient. Patient’s heart activity which is recorded by AD8232 module is decoded by Arduino UNO R3 into analog data. Then, the analog data is converted into a voltage value (mV) and is processed to get the QRS complex peak. Heart rate value is calculated by Microcontroller Arduino UNO R3 uses the QRS complex peak. Voltage, heart rate, and the QRS complex peak are sent to Android smartphone by Bluetooth HC-05. ECG data is displayed as the graph by Android smartphone. To evaluate the performance of QRS complex peak detection method, three parameters are used; they are positive predictive, accuracy and sensitivity. Positive predictive, accuracy, and sensitivity of Peak Threshold method is 92.39%, 70.30%, 74.62% and for Peak Filter method are 98.38%, 82.47%, 83.61%, respectively.

Colorimetric detection with aptamer-gold nanoparticle conjugates coupled to an android-based color analysis application for use in the field.

PubMed

Smith, Joshua E; Griffin, Daniel K; Leny, Juliann K; Hagen, Joshua A; Chávez, Jorge L; Kelley-Loughnane, Nancy

2014-04-01

The feasibility of using aptamer-gold nanoparticle conjugates (Apt-AuNPs) to design colorimetric assays for in the field detection of small molecules was investigated. An assay to detect cocaine was designed using two clones of a known cocaine-binding aptamer. The assay was based on the AuNPs difference in affinity for single-stranded DNA (non-binding) and double stranded DNA (target bound). In the first assay, a commonly used design was followed, in which the aptamer and target were incubated to allow binding followed by exposure to the AuNPs. Interactions between the non-bound analytes and the AuNPs surface resulted in a number of false positives. The assay was redesigned by incubating the AuNPs and the aptamer prior to target addition to passivate the AuNPs surface. The adsorbed aptamer was able to bind the target while preventing non-specific interactions. The assay was validated with a number of masking and cutting agents and other controlled substances showing minimal false positives. Studies to improve the assay performance in the field were performed, showing that assay activity could be preserved for up to 2 months. To facilitate the assay analysis, an android application for automatic colorimetric characterization was developed. The application was validated by challenging the assay with cocaine standards of different concentrations, and comparing the results to a conventional plate reader, showing outstanding agreement. Finally, the rapid identification of cocaine in mixtures mimicking street samples was demonstrated. This work established that Apt-AuNPs can be used to design robust assays to be used in the field. Copyright © 2013 Elsevier B.V. All rights reserved.

Android Robot-Mediated Mock Job Interview Sessions for Young Adults with Autism Spectrum Disorder: A Pilot Study

PubMed Central

Kumazaki, Hirokazu; Warren, Zachary; Corbett, Blythe A.; Yoshikawa, Yuichiro; Matsumoto, Yoshio; Higashida, Haruhiro; Yuhi, Teruko; Ikeda, Takashi; Ishiguro, Hiroshi; Kikuchi, Mitsuru

2017-01-01

The feasibility and preliminary efficacy of an android robot-mediated mock job interview training in terms of both bolstering self-confidence and reducing biological levels of stress in comparison to a psycho-educational approach human interview was assessed in a randomized study. Young adults (ages 18–25 years) with autism spectrum disorder (ASD) were randomized to participate either in a mock job interview training with our android robot system (n = 7) or a self-paced review of materials about job-interviewing skills (n = 8). Baseline and outcome measurements of self-reported performance/efficacy and salivary cortisol were obtained after a mock job interview with a human interviewer. After training sessions, individuals with ASD participating in the android robot-mediated sessions reported marginally improved self-confidence and demonstrated significantly lower levels of salivary cortisol as compared to the control condition. These results provide preliminary support for the feasibility and efficacy of android robot-mediated learning. PMID:28955254

Android Robot-Mediated Mock Job Interview Sessions for Young Adults with Autism Spectrum Disorder: A Pilot Study.

PubMed

Kumazaki, Hirokazu; Warren, Zachary; Corbett, Blythe A; Yoshikawa, Yuichiro; Matsumoto, Yoshio; Higashida, Haruhiro; Yuhi, Teruko; Ikeda, Takashi; Ishiguro, Hiroshi; Kikuchi, Mitsuru

2017-01-01

The feasibility and preliminary efficacy of an android robot-mediated mock job interview training in terms of both bolstering self-confidence and reducing biological levels of stress in comparison to a psycho-educational approach human interview was assessed in a randomized study. Young adults (ages 18-25 years) with autism spectrum disorder (ASD) were randomized to participate either in a mock job interview training with our android robot system ( n  = 7) or a self-paced review of materials about job-interviewing skills ( n  = 8). Baseline and outcome measurements of self-reported performance/efficacy and salivary cortisol were obtained after a mock job interview with a human interviewer. After training sessions, individuals with ASD participating in the android robot-mediated sessions reported marginally improved self-confidence and demonstrated significantly lower levels of salivary cortisol as compared to the control condition. These results provide preliminary support for the feasibility and efficacy of android robot-mediated learning.

Android Fat Depot Is More Closely Associated with Metabolic Syndrome than Abdominal Visceral Fat in Elderly People

PubMed Central

Kang, Seon Mee; Yoon, Ji Won; Ahn, Hwa Young; Kim, So Yeon; Lee, Kyoung Ho; Shin, Hayley; Choi, Sung Hee; Park, Kyong Soo; Jang, Hak Chul; Lim, Soo

2011-01-01

Background Fat accumulation in android compartments may confer increased metabolic risk. The incremental utility of measuring regional fat deposition in association with metabolic syndrome (MS) has not been well described particularly in an elderly population. Methods and Findings As part of the Korean Longitudinal Study on Health and Aging, which is a community-based cohort study of people aged more than 65 years, subjects (287 male, 75.9±8.6 years and 278 female, 76.0±8.8 years) with regional body composition data using Dual energy X-ray absorptiometry for android/gynoid area, computed tomography for visceral/subcutaneous adipose tissue (VAT/SAT), and cardiometabolic markers including adiponectin and high-sensitivity CRP were enrolled. We investigated the relationship between regional body composition and MS in multivariate regression models. Mean VAT and SAT area was 131.4±65.5 cm2 and 126.9±55.2 cm2 in men (P = 0.045) and 120.0±46.7 cm2 and 211.8±65.9 cm2 in women (P<0.01). Mean android and gynoid fat amount was 1.8±0.8 kg and 2.5±0.8 kg in men and 2.0±0.6 kg and 3.3±0.8 kg in women, respectively (both P<0.01). VAT area and android fat amount was strongly correlated with most metabolic risk factors compared to SAT or gynoid fat. Furthermore, android fat amount was significantly associated with clustering of MS components after adjustment for multiple parameters including age, gender, adiponectin, hsCRP, a surrogate marker of insulin resistance, whole body fat mass and VAT area. Conclusions Our findings are consistent with the hypothesized role of android fat as a pathogenic fat depot in the MS. Measurement of android fat may provide a more complete understanding of metabolic risk associated with variations in fat distribution. PMID:22096613

Developing a Value of Information (VoI) Enabled System from Collection to Analysis

DTIC Science & Technology

2016-11-01

Information, Android, smartphone , information dissemination, visual analytic 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF...List of Figures Fig. 1 Spot report main screen .........................................................................2 Fig. 2 Smartphone app...included the creation of 2 Android smartphone applications (apps) and the enhancement of an existing tool (Contour). Prior work with Android

Monitoring physiology and behavior using Android in phobias.

PubMed

Cruz, Telmo; Brás, Susana; Soares, Sandra C; Fernandes, José Maria

2015-08-01

In this paper, we present an Android-based system Application - AWARE - for the assessment of the person's physiology and behavior outside of the laboratory. To accomplish this purpose, AWARE delivers context dependent audio-visual stimuli, embedded into the subject's real-world perception, via marker/vision-based augmented reality (AR) technology. In addition, it employs external measuring resources connected via Bluetooth, as well as the smartphone's integrated resources. It synchronously acquires the experiment's video (camera input with AR overlay), physiologic responses (with a dedicated ECG measuring device) and behavior (through movement and location, with accelerometer/gyroscope and GPS, respectively). Psychological assessment is heavily based on laboratory procedures, even though it is known that these settings disturb the subjects' natural reactions and condition. The major idea of this application is to evaluate the participant condition, mimicking his/her real life conditions. Given that phobias are rather context specific, they represent the ideal candidate for assessing the feasibility of a mobile system application. AWARE allowed presenting AR stimuli (e.g., 3D spiders) and quantifying the subjects' reactions non-intrusively (e.g., heart rate variation) - more emphatic in the phobic volunteer when presented with spider vs non phobic stimulus. Although still a proof of concept, AWARE proved to be flexible, and straightforward to setup, with the potential to support ecologically valid monitoring experiments.

GPR Image and Signal Processing for Pavement and Road Monitoring on Android Smartphones and Tablets

NASA Astrophysics Data System (ADS)

Benedetto, Francesco; Benedetto, Andrea; Tedeschi, Antonio

2014-05-01

Ground Penetrating Radar (GPR) is a geophysical method that uses radar pulses to image the subsurface. This non-destructive method uses electromagnetic radiation and detects the reflected signals from subsurface structures. It can detect objects, changes in material, and voids and cracks. GPR has many applications in a number of fields. In the field of civil engineering one of the most advanced technologies used for road pavement monitoring is based on the deployment of advanced GPR systems. One of the most relevant causes of road pavement damage is often referable to water intrusion in structural layers. In this context, GPR has been recently proposed as a method to estimate moisture content in a porous medium without preventive calibration. Hence, the development of methods to obtain an estimate of the moisture content is a crucial research field involving economic, social and strategic aspects in road safety for a great number of public and private Agencies. In particular, a recent new approach was proposed to estimate moisture content in a porous medium basing on the theory of Rayleigh scattering, showing a shift of the frequency peak of the GPR spectrum towards lower frequencies as the moisture content increases in the soil. Addressing some of these issues, this work proposes a mobile application, for smartphones and tablets, for GPR image and signal processing. Our application has been designed for the Android mobile operating system, since it is open source and android mobile platforms are selling the most smartphones in the world (2013). The GPR map can be displayed in black/white or color and the user can zoom and navigate into the image. The map can be loaded in two different ways: from the local memory of the portable device or from a remote server. This latter possibility can be very useful for real-time and mobile monitoring of road and pavement inspection. In addition, the application allows analyzing the GPR data also in the frequency domain. It is

Secure Ad Hoc Networking on an Android Platform

DTIC Science & Technology

2014-05-01

Once the device is provisioned, connections can be initiated by tapping two devices together, this uses NFC to bootstrap a Bluetooth connection. Once...4 2.2 Residual Issues . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 3 Device Provisioning 5 3.1...the inclusion of SE Android’s Install-time Mandatory Access Control (MAC) feature. Some knowledge of Android is required to understand the system

Development of an Android App for notification and reporting of natural disaster such as earthquakes and tsunamis

NASA Astrophysics Data System (ADS)

Richter, Steffen; Hammitzsch, Martin

2013-04-01

Disasters like the Tohoku tsunami in March 2011 and the earthquake in Haiti in January 2010, have shown clearly that the rapid detection of possible negative impact on population and infrastructure is crucial for the rapid organization of effective counter measures integration activities. It has turned out that effective planning of relief and rescue measures requires both information provided by governmental authorities and feedback of the general public. Every citizen experiencing the events directly on site becomes a potential witness and can provide valuable information about the disaster. Citizens can use various information channels to communicate and share their experiences. During the last years, the crowdsourcing approach has gained the attention of users of modern communication and information systems. The term crowdsourcing describes the interactive collaboration of voluntary users on the Internet, working on a common topic. A similar approach is mobile crowdsourcing which evolved in the quickly growing community of smartphone users: Crowdsourcing platforms provide additional application scenarios for modern smartphone. Smartphone users are enabled to compose and share reports immediately at the scene of the disaster. A growing number of modern smartphones also includes sensors for taking pictures and to determine the current geographical position. This additional content can significantly enhance the value of a disaster event report. The project Collaborative, Complex, and Critical Decision-Support in Evolving Crises (TRIDEC), co-funded by the European Commission in its Seventh Framework Programme, is focused on the management of crisis situations. Part of the project is the development of an application for the Android smartphone platform. This application enables access to an continuously updated situation report for current natural disasters like earthquakes and tsunamis based on incoming crowdsourced reports. The App is used to immediately sent

Indonesian kalkulator of oocytes (IKO): A smart application to determine our biological age

NASA Astrophysics Data System (ADS)

Wiweko, Budi; Narasati, Shabrina; Agung, Prince Gusti; Zesario, Aulia; Wibawa, Yohanes Satrya; Maidarti, Mila; Harzif, Achmad Kemal; Pratama, Gita; Sumapraja, Kanadi; Muharam, Raden; Hestiantoro, Andon

2018-02-01

Background: The use of smartphones and its associated application provides new opportunities for physicians. In current situations, there are still few applications are designed in the field of infertility and Assisted Reproductive Technologies (ART). A study conducted on 1616 subjects proved that AMH (Anti-Mullerian Hormone) could be used to predict a woman's biological age earlier than Follicle-Stimulating Hormone (FSH) and Antral Follicle Count (AFC). In this study, we describe the AMH nomogram that has been developed into a mobile application as "Indonesian Kalculator of Oocytes" (IKO). The software required to create IKO application was the Android 4.0.3 Ice Cream Sandwich and Java Application Development. The hardware specification that needed to develop the IKO apps were a 4.0-inch screen, 512 MB RAM (random-access memory), and CPU (central processing unit) with dual core 1.2 Ghz. The application is built using the Android SDK (Software Development Kit) and Java Application Development. In this application, we can predict the woman's biological age, some mature oocytes, and AMH level. This app is expected to help patients to plan effectively for pregnancy and help the doctor to choose the best intervention for patients who face infertility problems using Assisted Reproductive Technology (ART). IKO application can be downloaded for free on Google PlayStore and Apple Store.

Benefits of an Android Based Tablet Application in Primary Screening for Eye Diseases in a Rural Population, India.

PubMed

Imtiaz, Sayed Ahmed; Krishnaiah, Sannapaneni; Yadav, Sunil Kumar; Bharath, Balasubramaniam; Ramani, Ramanathan V

2017-04-01

To investigate the effectiveness, efficiency and cost gains in collecting patient eye health information from remote rural villages of India by trained field investigators through an Android Based Tablet Application namely 'Sankara Electronic Remote Vision Information System (SERVIS)". During January and March 2016, a population based cross-sectional study was conducted in three Indian states employing SERVIS and manual method. The SERVIS application has a 48-items survey instrument programed into the application. Data on 281 individuals were collected for each of these methods as part of screening. The demographic details of individuals between both screening methods were comparable (P>0.05). The mean time (in minutes) to screen an individual by SERVIS was significantly less when compared to manual method (6.57±1.46 versus 11.93±1.53) (P<0.0001). The efficiency of SERVIS in screening was significantly evident as 26% (n = 73) of the patients screened have been referred to campsite and 69.8% (n = 51) of those referred were visited the campsite for a detailed eye examination by an ophthalmologist. The cost of screening through SERVIS is significantly less when compared to manual method; INR 7,633 (USD 113.9) Versus INR 24,780 (USD 370). SERVIS is an effective and efficient tool in terms of patients' referral conversion to the camp site leading to timely detection of potential blinding eye conditions and their appropriate treatment. This ensures timely prevention of avoidable blindness and visual impairment. In addition, the storage and access of eye health epidemiological quality data is helpful to plan appropriate blindness prevention initiatives in rural India.

Androidal fat dominates in predicting cardiometabolic risk in postmenopausal women

USDA-ARS?s Scientific Manuscript database

We hypothesized that soy isoflavones would attenuate the anticipated increase in androidal fat mass in postmenopausal women during the 36-month treatment, and thereby favorably modify the circulating cardiometabolic risk factors: triacylglycerol, LDLC, HDL-C, glucose, insulin, uric acid, C-reactive ...

Implementing MANETS in Android based environment using Wi-Fi direct

NASA Astrophysics Data System (ADS)

Waqas, Muhammad; Babar, Mohammad Inayatullah Khan; Zafar, Mohammad Haseeb

2015-05-01

Packet loss occurs in real-time voice transmission over wireless broadcast Ad-hoc network which creates disruptions in sound. Basic objective of this research is to design a wireless Ad-hoc network based on two Android devices by using the Wireless Fidelity (WIFI) Direct Application Programming Interface (API) and apply the Network Codec, Reed Solomon Code. The network codec is used to encode the data of a music wav file and recover the lost packets if any, packets are dropped using a loss module at the transmitter device to analyze the performance with the objective of retrieving the original file at the receiver device using the network codec. This resulted in faster transmission of the files despite dropped packets. In the end both files had the original formatted music files with complete performance analysis based on the transmission delay.

iFall: an Android application for fall monitoring and response.

PubMed

Sposaro, Frank; Tyson, Gary

2009-01-01

Injuries due to falls are among the leading causes of hospitalization in elderly persons, often resulting in a rapid decline in quality of life or death. Rapid response can improve the patients outcome, but this is often lacking when the injured person lives alone and the nature of the injury complicates calling for help. This paper presents an alert system for fall detection using common commercially available electronic devices to both detect the fall and alert authorities. We use an Android-based smart phone with an integrated tri-axial accelerometer. Data from the accelerometer is evaluated with several threshold based algorithms and position data to determine a fall. The threshold is adaptive based on user provided parameters such as: height, weight, and level of activity. The algorithm adapts to unique movements that a phone experiences as opposed to similar systems which require users to mount accelerometers to their chest or trunk. If a fall is suspected a notification is raised requiring the user's response. If the user does not respond, the system alerts pre-specified social contacts with an informational message via SMS. If a contact responds the system commits an audible notification, automatically connects, and enables the speakerphone. If a social contact confirms a fall, an appropriate emergency service is alerted. Our system provides a realizable, cost effective solution to fall detection using a simple graphical interface while not overwhelming the user with uncomfortable sensors.

Development of the IMB Model and an Evidence-Based Diabetes Self-management Mobile Application.

PubMed

Jeon, Eunjoo; Park, Hyeoun-Ae

2018-04-01

This study developed a diabetes self-management mobile application based on the information-motivation-behavioral skills (IMB) model, evidence extracted from clinical practice guidelines, and requirements identified through focus group interviews (FGIs) with diabetes patients. We developed a diabetes self-management (DSM) app in accordance with the following four stages of the system development life cycle. The functional and knowledge requirements of the users were extracted through FGIs with 19 diabetes patients. A system diagram, data models, a database, an algorithm, screens, and menus were designed. An Android app and server with an SSL protocol were developed. The DSM app algorithm and heuristics, as well as the usability of the DSM app were evaluated, and then the DSM app was modified based on heuristics and usability evaluation. A total of 11 requirement themes were identified through the FGIs. Sixteen functions and 49 knowledge rules were extracted. The system diagram consisted of a client part and server part, 78 data models, a database with 10 tables, an algorithm, and a menu structure with 6 main menus, and 40 user screens were developed. The DSM app was Android version 4.4 or higher for Bluetooth connectivity. The proficiency and efficiency scores of the algorithm were 90.96% and 92.39%, respectively. Fifteen issues were revealed through the heuristic evaluation, and the app was modified to address three of these issues. It was also modified to address five comments received by the researchers through the usability evaluation. The DSM app was developed based on behavioral change theory through IMB models. It was designed to be evidence-based, user-centered, and effective. It remains necessary to fully evaluate the effect of the DSM app on the DSM behavior changes of diabetes patients.

Development of the IMB Model and an Evidence-Based Diabetes Self-management Mobile Application

PubMed Central

Jeon, Eunjoo

2018-01-01

Objectives This study developed a diabetes self-management mobile application based on the information-motivation-behavioral skills (IMB) model, evidence extracted from clinical practice guidelines, and requirements identified through focus group interviews (FGIs) with diabetes patients. Methods We developed a diabetes self-management (DSM) app in accordance with the following four stages of the system development life cycle. The functional and knowledge requirements of the users were extracted through FGIs with 19 diabetes patients. A system diagram, data models, a database, an algorithm, screens, and menus were designed. An Android app and server with an SSL protocol were developed. The DSM app algorithm and heuristics, as well as the usability of the DSM app were evaluated, and then the DSM app was modified based on heuristics and usability evaluation. Results A total of 11 requirement themes were identified through the FGIs. Sixteen functions and 49 knowledge rules were extracted. The system diagram consisted of a client part and server part, 78 data models, a database with 10 tables, an algorithm, and a menu structure with 6 main menus, and 40 user screens were developed. The DSM app was Android version 4.4 or higher for Bluetooth connectivity. The proficiency and efficiency scores of the algorithm were 90.96% and 92.39%, respectively. Fifteen issues were revealed through the heuristic evaluation, and the app was modified to address three of these issues. It was also modified to address five comments received by the researchers through the usability evaluation. Conclusions The DSM app was developed based on behavioral change theory through IMB models. It was designed to be evidence-based, user-centered, and effective. It remains necessary to fully evaluate the effect of the DSM app on the DSM behavior changes of diabetes patients. PMID:29770246

Global outreach and user preferences of a smartphone application developed for drinkers.

PubMed

Zhang, Melvyn W B; Fang, Pan; Ho, Roger C M

2016-07-27

Alcohol use disorders has been known and recently highlighted by the World Health Organization as a major worldwide problem. Harmful usage of alcohol has been linked to increased morbidity and mortality arising from common alcohol related disorders, such as liver disease, hypertension and violent deaths. Looking at the current literature, there have been previous peer reviewed publications about how technology has helped alcohol users. Of significance, a previous content analysis showed that the vast majority of the applications catered for alcohol use disorder which are currently available on the stores are not only not supported by evidence-base, but some of them seemed to be promoting drinking instead. Zhang et al. have described how they have attempted to overcome the limitations of current alcohol applications in their video feature recently published. The objective of this article is to evaluate (a) the receptiveness of the general population toward an alcohol tracker application and to determine (b) user preferences with regards to the different features present in an alcohol tracker. Android Java Developmental kit (ADK) was utilized to program the core functions of the applications. The entire developmental process took approximately 6 weeks to complete and the android version of the application was launched and offered for free download on the android play store since the 4th of February 2015. The utilization of the application was then monitored and recorded using Google analytics. User perspectives with regards to the individual features of the application were collated via an application feedback survey embedded within the application. Based on the analytics, a total of 339 users have had access to the application. A cumulative total of 2029 downloads of the application have been made to date. Most of the participants are male (66%) and are of the age group of 30-39 years old (34%). The vast majority of the participants (94%) do not have any prior

Development of a mobile application for oral cancer screening.

PubMed

Gomes, Mayra Sousa; Bonan, Paulo Rogério Ferreti; Ferreira, Vitor Yuri Nicolau; de Lucena Pereira, Laudenice; Correia, Ricardo João Cruz; da Silva Teixeira, Hélder Bruno; Pereira, Daniel Cláudio; Bonan, Paulo

2017-01-01

To develop a mobile application (app) for oral cancer screening. The app was developed using Android system version 4.4.2, with JAVA language. Information concerning sociodemographic data and risk factors for oral cancer development, e.g., tobacco and alcohol use, sun exposure and other contributing factors, such as unprotected oral sex, oral pain and denture use, were included. We surveyed a population at high risk for oral cancer development and then evaluated the sensitivity/specificity/accuracy and predictive values of clinical oral diagnosis between two blinded trained examiners, who used movies and data from the app, and in loco oral examination as gold-standard. A total of 55 individuals at high risk for oral cancer development were surveyed. Of these, 31% presented homogeneous/heterogeneous white lesions with potential of malignancy. The clinical diagnoses performed by the two examiners using videos were found to have sensitivity of 82%-100% (average 91%), specificity of 81%-100% (average 90.5%), and accuracy of 87.27%-95.54% (average 90.90%), as compared with the gold-standard. The Kappa agreement value between the gold-standard and the examiner with the best agreement was 0.597. Mobile apps including videos and data collection interfaces could be an interesting alternative in oral cancer research development.

Residual Network Data Structures in Android Devices

DTIC Science & Technology

2011-09-01

Apple’s iOS, Google’s Android, RIM’s Blackberry and Nokia’s Symbian. Each Smartphone presents unique characteristics for forensic examiners. In...another. • Home Agent: A router on mobile node’s home network that tunnels traffic to mobile node when not on home network. Also maintains mobile nodes...Address notification to the Home Agent. When traffic arrives at the Home Agent for the mobile node, the Home Agent tunnels the traffic to the Care-of

Moving Phones Tick Slower: Creating an Android App to Demonstrate Time Dilation

NASA Astrophysics Data System (ADS)

Underwood, Bret; Zhai, Yunxiao

2016-05-01

Smartphones and tablets are packed with sensors that allow us to take experimental data, essentially making them mobile physics labs. Apps exist that make it easy to capture and analyze data from these sensors, allowing users to study diverse phenomena such as free fall acceleration, the speed of sound, radioactivity, and many others. Commonly, the use of apps in the physics classroom focuses on existing apps rather than on the creation of apps themselves. This is for a good reason-writing an app usually requires advanced knowledge of programming languages and experience with app design. These skills are generally regarded as beyond the typical physics student. However, there are app development environments, such as MIT App Inventor 2 for Android, which make the process of creating an app and utilizing the sensors much more accessible to students. Putting the ability to create and configure apps within the reach of students can also help integrate computation into the curriculum. In this article, we discuss our creation of an Android app, Time Dilation Calculator, done as part of a senior undergraduate capstone project, which uses App Inventor and a mobile device's global positioning system (GPS) receiver to calculate the time dilation effect of special relativity.

CONSTRUCTION AND VALIDATION OF LOW COST LAPAROSCOPIC SIMULATOR USING ANDROID SMARTPHONE AND POP CAST AND A LAPTOP.

PubMed

Vyas, A; Goel, G

2017-09-01

Minimal invasive surgery training requires a lot of practice and for this purpose innovative tools are needed to develop methods for practice and training skills outside the operating room. Commercially available devices are readily available but cost effectiveness and availability are major limiting factors in resource limited setting. We present an innovative and cost effective laparoscopic simulator which can be easily manufactured and used for practice of laparoscopic surgery. Using a free android application, such as IP webcam we can relay video to laptop without the use of any cables and uniquely we use the flash of a camera as the light source and a selfie stick for movement of the camera. Use of this type of setup can help to reduce cost of simulated learning in low income countries and makes laparoscopic training facilities readily available. Copyright© Authors.

Utilizing Android and the Cloud Computing Environment to Increase Situational Awareness for a Mobile Distributed Response

DTIC Science & Technology

2012-03-01

by using a common communication technology there is no need to develop a complicated communications plan and generate an ad - hoc communications...DISTRIBUTION CODE A 13. ABSTRACT (maximum 200 words) Maintaining an accurate Common Operational Picture (COP) is a strategic requirement for...TERMS Android Programming, Cloud Computing, Common Operating Picture, Web Programing 16. PRICE CODE 17. SECURITY CLASSIFICATION OF REPORT

Improved particle swarm optimization algorithm for android medical care IOT using modified parameters.

PubMed

Sung, Wen-Tsai; Chiang, Yen-Chun

2012-12-01

This study examines wireless sensor network with real-time remote identification using the Android study of things (HCIOT) platform in community healthcare. An improved particle swarm optimization (PSO) method is proposed to efficiently enhance physiological multi-sensors data fusion measurement precision in the Internet of Things (IOT) system. Improved PSO (IPSO) includes: inertia weight factor design, shrinkage factor adjustment to allow improved PSO algorithm data fusion performance. The Android platform is employed to build multi-physiological signal processing and timely medical care of things analysis. Wireless sensor network signal transmission and Internet links allow community or family members to have timely medical care network services.

Prediction of android and gynoid body adiposity via a three-dimensional stereovision body imaging system and dual-energy x-ray absorptiometry

PubMed Central

Lee, Jane J.; Freeland-Graves, Jeanne H.; Pepper, M. Reese; Stanforth, Philip R.; Xu, Bugao

2017-01-01

Objective Current methods for measuring regional body fat are expensive and inconvenient compared to the relative cost-effectiveness and ease-of-use of a stereovision body imaging (SBI) system. The primary goal of this research is to develop prediction models for android and gynoid fat by body measurements assessed via SBI and dual-energy x-ray absorptiometry (DXA). Subsequently, mathematical equations for prediction of total and regional (trunk, leg) body adiposity were established via parameters measured by SBI and DXA. Methods A total of 121 participants were randomly assigned into primary and cross-validation groups. Body measurements were obtained via traditional anthropometrics, SBI, and DXA. Multiple regression analysis was conducted to develop mathematical equations by demographics and SBI assessed body measurements as independent variables and body adiposity (fat mass and percent fat) as dependent variables. The validity of the prediction models was evaluated by a split sample method and Bland-Altman analysis. Results The R2 of the prediction equations for fat mass and percent body fat were 93.2% and 76.4% for android, and 91.4% and 66.5% for gynoid, respectively. The limits of agreement for the fat mass and percent fat were − 0.06 ± 0.87 kg and − 0.11 ± 1.97 % for android and − 0.04 ± 1.58 kg and − 0.19 ± 4.27 % for gynoid. Prediction values for fat mass and percent fat were 94.6% and 88.9% for total body, 93.9% and 71.0% for trunk, and 92.4% and 64.1% for leg, respectively. Conclusions The three-dimensional (3D) SBI produces reliable parameters that can predict android and gynoid, as well as total and regional (trunk, leg) fat mass. PMID:25915106

Prediction of Android and Gynoid Body Adiposity via a Three-dimensional Stereovision Body Imaging System and Dual-Energy X-ray Absorptiometry.

PubMed

Lee, Jane J; Freeland-Graves, Jeanne H; Pepper, M Reese; Stanforth, Philip R; Xu, Bugao

2015-01-01

Current methods for measuring regional body fat are expensive and inconvenient compared to the relative cost-effectiveness and ease of use of a stereovision body imaging (SBI) system. The primary goal of this research is to develop prediction models for android and gynoid fat by body measurements assessed via SBI and dual-energy x-ray absorptiometry (DXA). Subsequently, mathematical equations for prediction of total and regional (trunk, leg) body adiposity were established via parameters measured by SBI and DXA. A total of 121 participants were randomly assigned into primary and cross-validation groups. Body measurements were obtained via traditional anthropometrics, SBI, and DXA. Multiple regression analysis was conducted to develop mathematical equations by demographics and SBI assessed body measurements as independent variables and body adiposity (fat mass and percentage fat) as dependent variables. The validity of the prediction models was evaluated by a split sample method and Bland-Altman analysis. The R(2) of the prediction equations for fat mass and percentage body fat were 93.2% and 76.4% for android and 91.4% and 66.5% for gynoid, respectively. The limits of agreement for the fat mass and percentage fat were -0.06 ± 0.87 kg and -0.11% ± 1.97% for android and -0.04 ± 1.58 kg and -0.19% ± 4.27% for gynoid. Prediction values for fat mass and percentage fat were 94.6% and 88.9% for total body, 93.9% and 71.0% for trunk, and 92.4% and 64.1% for leg, respectively. The three-dimensional (3D) SBI produces reliable parameters that can predict android and gynoid as well as total and regional (trunk, leg) fat mass.

Development and Evaluation of a Mobile Application for Personal Lifestyle Check-Up and Improvement

PubMed Central

Youm, Sekyoung

2014-01-01

Abstract Objective: This study aimed (1) to help individuals analyze their own health status by checking their lifestyle, (2) to develop a user-friendly mobile application that offered prescriptions for lifestyle improvement, and (3) to examine whether the developed application had positive effects on users. Materials and Methods: In order to develop a lifestyle analysis engine that would operate in an Android® (Google, Mountain View, CA)-based mobile application, survey data on health awareness behaviors of 25,124 participants from the 2009 Korean National Health and Nutrition Examination Survey (KNHANES) were analyzed. Additionally, in order for the users to be aware of their lifestyles and explore the effects of the developed mobile application on lifestyle management and improvement, an additional survey of the lifestyle awareness and levels of motivation for lifestyle improvement of 152 users was conducted. Results: The differences between lifestyles before and after using the application were examined. A paired t test was used for questions regarding (1) the level of motivation to improve lifestyles and (2) changes in lifestyle. The lifestyle score was lower after using the program than before using it. Conversely, the level of motivation to improve lifestyle was greater after the program than before it. Both results were statistically significant. Conclusions: By using the KNHANES, this study developed a mobile application that compared the quantified lifestyles of individuals and enabled individuals to check easily their health statuses, whenever and wherever necessary. The program developed in this study contributed to motivating individuals to be aware of and to improve their lifestyles. PMID:25384255

Development and evaluation of a mobile application for personal lifestyle check-up and improvement.

PubMed

Youm, Sekyoung; Park, Seung-Hun

2014-11-01

This study aimed (1) to help individuals analyze their own health status by checking their lifestyle, (2) to develop a user-friendly mobile application that offered prescriptions for lifestyle improvement, and (3) to examine whether the developed application had positive effects on users. In order to develop a lifestyle analysis engine that would operate in an Android(®) (Google, Mountain View, CA)-based mobile application, survey data on health awareness behaviors of 25,124 participants from the 2009 Korean National Health and Nutrition Examination Survey (KNHANES) were analyzed. Additionally, in order for the users to be aware of their lifestyles and explore the effects of the developed mobile application on lifestyle management and improvement, an additional survey of the lifestyle awareness and levels of motivation for lifestyle improvement of 152 users was conducted. The differences between lifestyles before and after using the application were examined. A paired t test was used for questions regarding (1) the level of motivation to improve lifestyles and (2) changes in lifestyle. The lifestyle score was lower after using the program than before using it. Conversely, the level of motivation to improve lifestyle was greater after the program than before it. Both results were statistically significant. By using the KNHANES, this study developed a mobile application that compared the quantified lifestyles of individuals and enabled individuals to check easily their health statuses, whenever and wherever necessary. The program developed in this study contributed to motivating individuals to be aware of and to improve their lifestyles.

Sharing Vital Signs between mobile phone applications.

PubMed

Karlen, Walter; Dumont, Guy A; Scheffer, Cornie

2014-01-01

We propose a communication library, ShareVitalSigns, for the standardized exchange of vital sign information between health applications running on mobile platforms. The library allows an application to request one or multiple vital signs from independent measurement applications on the Android OS. Compatible measurement applications are automatically detected and can be launched from within the requesting application, simplifying the work flow for the user and reducing typing errors. Data is shared between applications using intents, a passive data structure available on Android OS. The library is accompanied by a test application which serves as a demonstrator. The secure exchange of vital sign information using a standardized library like ShareVitalSigns will facilitate the integration of measurement applications into diagnostic and other high level health monitoring applications and reduce errors due to manual entry of information.

Creation of graphic database specifying android arm mechanism work envelope taking into account forbidden zones position

NASA Astrophysics Data System (ADS)

Pritykin, F. N.; Nebritov, V. I.

2017-06-01

The structure of graphic database specifying the shape and the work envelope projection position of an android arm mechanism with various positions of the known in advance forbidden zones is proposed. The technique of analytical assignment of the work envelope based on the methods of analytical geometry and theory of sets is represented. The conducted studies can be applied in creation of knowledge bases for intellectual systems of android control functioning independently in the sophisticated environment.

Improving College Students English Learning with Dr. Eye Android Mid

ERIC Educational Resources Information Center

Yang, Ju Yin; Che, Pei-Chun

2015-01-01

This paper investigates college students' English language learning through use of Dr. Eye Android handheld mobile Internet device (MID). Compared to related studies, students' English learning using MIDs has not been evaluated and fully understood in the field of higher education. Quantitatively, the researchers used TOEIC pretest and posttest to…

Importance of Android/Gynoid Fat Ratio in Predicting Metabolic and Cardiovascular Disease Risk in Normal Weight as well as Overweight and Obese Children

PubMed Central

Regier, Michael

2014-01-01

Numerous studies have shown that android or truncal obesity is associated with a risk for metabolic and cardiovascular disease, yet there is evidence that gynoid fat distribution may be protective. However, these studies have focused on adults and obese children. The purpose of our study was to determine if the android/gynoid fat ratio is positively correlated with insulin resistance, HOMA2-IR, and dislipidemia in a child sample of varying body sizes. In 7–13-year-old children with BMI percentiles ranging from 0.1 to 99.6, the android/gynoid ratio was closely associated with insulin resistance and combined LDL + VLDL-cholesterol. When separated by sex, it became clear that these relationships were stronger in boys than in girls. Subjects were stratified into BMI percentile based tertiles. For boys, the android/gynoid ratio was significantly related to insulin resistance regardless of BMI tertile with and LDL + VLDL in tertiles 1 and 3. For girls, only LDL + VLDL showed any significance with android/gynoid ratio and only in tertile 2. We conclude that the android/gynoid fat ratio is closely associated with insulin resistance and LDL + VLDL-, “bad,” cholesterol in normal weight boys and may provide a measurement of metabolic and cardiovascular disease risk in that population. PMID:25302115

Importance of android/gynoid fat ratio in predicting metabolic and cardiovascular disease risk in normal weight as well as overweight and obese children.

PubMed

Samsell, Lennie; Regier, Michael; Walton, Cheryl; Cottrell, Lesley

2014-01-01

Numerous studies have shown that android or truncal obesity is associated with a risk for metabolic and cardiovascular disease, yet there is evidence that gynoid fat distribution may be protective. However, these studies have focused on adults and obese children. The purpose of our study was to determine if the android/gynoid fat ratio is positively correlated with insulin resistance, HOMA2-IR, and dislipidemia in a child sample of varying body sizes. In 7-13-year-old children with BMI percentiles ranging from 0.1 to 99.6, the android/gynoid ratio was closely associated with insulin resistance and combined LDL + VLDL-cholesterol. When separated by sex, it became clear that these relationships were stronger in boys than in girls. Subjects were stratified into BMI percentile based tertiles. For boys, the android/gynoid ratio was significantly related to insulin resistance regardless of BMI tertile with and LDL + VLDL in tertiles 1 and 3. For girls, only LDL + VLDL showed any significance with android/gynoid ratio and only in tertile 2. We conclude that the android/gynoid fat ratio is closely associated with insulin resistance and LDL + VLDL-, "bad," cholesterol in normal weight boys and may provide a measurement of metabolic and cardiovascular disease risk in that population.

Mechanism of Food Ordering in A Restaurant Using Android Technology

NASA Astrophysics Data System (ADS)

Aulia, Rachmat; Zakir, Ahmad; Dafitri, Haida; Siregar, Dodi; Hasdiana

2017-12-01

A Restaurant is a gathering place for many people to taste the favorite foods are in there. The restaurant which visited many people sure will increase the attraction of them to visit it. Of course, the owner will get more benefit. However, what happens when a restaurant is famous still uses a service without technology, such as making orders using pens and paper, inspects the food stocks manually, and delivering orders to the kitchen using manpower, and more. Therefore, it designed a system that can accelerate the ordering and processing food in the restaurant. This system replaces the use of pen and paper with digital devices such as tablets/smartphones based on Android. Not only that, order data can be sent through a wireless network which connects tablets/smartphones with the kitchen's computer. It can be read by kitcheners and showed directly on the LCD screen. By the application is expected to reduce the level of error in the processing of the consumer's order.

Mobile Attendance Checking System on Android Platform for Kazakhstani University

NASA Astrophysics Data System (ADS)

Saparkhojayev, N.; Shakhov, E.; Mailybayev, Y.

2016-04-01

In the 21st century-the century of Information Technology, it is difficult to imagine life without any gadgets: phones, tablets, computers, laptops, and so on. Today, smartphones and tablets are becoming popular, and thus their operating systems become popular too. Android is designed for low-power devices that run on battery power at full capacity, using all of its services, such as cameras, lights, GPS navigation, Wi-Fi, etc. In Kazakhstani universities, the process of checking students’ attendance is one of the important issues, because final grade evaluation of students is based on their total number of appearances and their grades during the whole semester. This raises the question of having some tool to control students’ attendance. There are many possible ways of controlling attendance: there are many examples when universities prefer to control attendance by the use of paper sheet, and some universities prefer to use two-stage way of controlling attendance: firstly, teachers and professors use paper sheet for checking students’ attendance and after this, they fill out these information into a system manually. However, this is not an efficient way since there will be spent much of time for calling students names and putting marks like “presence” or “absence” if the class is a lecture class, and in this class at least 5 groups are presented. Furthermore, some students may call his/her friend as “presence” nevertheless to the fact that this student is currently absent. After taking into consideration all these issues and the fact that many gadgets use Android platform, authors of the following research paper decided to create a mobile system that makes easier to check students’ attendance automatically, and this system is implemented in Almaty Management University, Kazakhstan. The system is based on Android platform, and in this paper, details of this system are presented.

Performance assessments of Android-powered military applications operating on tactical handheld devices

NASA Astrophysics Data System (ADS)

Weiss, Brian A.; Fronczek, Lisa; Morse, Emile; Kootbally, Zeid; Schlenoff, Craig

2013-05-01

Transformative Apps (TransApps) is a Defense Advanced Research Projects Agency (DARPA) funded program whose goal is to develop a range of militarily-relevant software applications ("apps") to enhance the operational-effectiveness of military personnel on (and off) the battlefield. TransApps is also developing a military apps marketplace to facilitate rapid development and dissemination of applications to address user needs by connecting engaged communities of endusers with development groups. The National Institute of Standards and Technology's (NIST) role in the TransApps program is to design and implement evaluation procedures to assess the performance of: 1) the various software applications, 2) software-hardware interactions, and 3) the supporting online application marketplace. Specifically, NIST is responsible for evaluating 50+ tactically-relevant applications operating on numerous Android™-powered platforms. NIST efforts include functional regression testing and quantitative performance testing. This paper discusses the evaluation methodologies employed to assess the performance of three key program elements: 1) handheld-based applications and their integration with various hardware platforms, 2) client-based applications and 3) network technologies operating on both the handheld and client systems along with their integration into the application marketplace. Handheld-based applications are assessed using a combination of utility and usability-based checklists and quantitative performance tests. Client-based applications are assessed to replicate current overseas disconnected (i.e. no network connectivity between handhelds) operations and to assess connected operations envisioned for later use. Finally, networked applications are assessed on handhelds to establish baselines of performance for when connectivity will be common usage.

Augmented reality application for industrial non-destructive inspection training

NASA Astrophysics Data System (ADS)

Amza, Catalin Gheorghe; Zapciu, Aurelian; Teodorescu, Octav

2018-02-01

Such a technology - Augmented Reality (AR) has great potential of use, especially for training purposes of new operators on using expensive equipment. In this context, the paper presents an augmented reality training system developed for phased-array ultrasonic non-destructive testing (NDT) equipment. The application has been developed using Unity 5.6.0 game-engine platform integrated with Vuforia sdk toolkit for devices with Android operating system. The test results performed by several NDT operators showed good results, thus proving the potential of using the application in the industrial field.

Android Based Behavioral Biometric Authentication via Multi-Modal Fusion

DTIC Science & Technology

2014-06-12

such as the way he or she uses the mouse, or interacts with the Graphical User Interface (GUI) [9]. Described simply, standard biometrics is determined...as a login screen on a standard computer. Active authentication is authentication that occurs dynamically throughout interaction with the device. A...because they are higher level constructs in themselves. The Android framework was specifically used for capturing the multitouch gestures: pinch and zoom

Quantification of trunk and android lean mass using dual energy x-ray absorptiometry compared to magnetic resonance imaging after spinal cord injury.

PubMed

Rankin, Kathleen C; O'Brien, Laura C; Gorgey, Ashraf S

2018-02-20

To determine whether dual energy x-ray absorptiometry (DXA) compared to magnetic resonance imaging (MRI) may accurately quantify trunk lean mass (LM) after chronic spinal cord injury (SCI) and to investigate the relationships between trunk LM, visceral adiposity, trunk fat mass and basal metabolic rate (BMR). Cross-sectional design and correlational analysis. Research setting in a medical center. Twenty-two men with motor complete paraplegia (n = 14; T4-T11) and tetraplegia (n = 8; C5-C7) were recruited as part of a clinical trial. Not applicable. Trunk and android LM were measured using DXA. The volume of six trunk muscle groups were then measured using MRI to quantify trunk LM-MRI. Subcutaneous and visceral adipose tissue (VAT) cross-sectional areas were also measured using MRI. After overnight fast, BMR was evaluated using indirect calorimetry. Trunk LM-DXA (24 ± 3.3 kg) and android LM-DXA (3.6 ± 0.7 kg) overestimated (P < 0.0001) trunk LM-MRI (1.7 ± 0.5 kg). Trunk LM-MRI = 0.088* log (trunk LM-DXA)-0.415; r 2 =0.29, SEE= 0.44 kg, P = 0.007. Trunk LM-MRI = 1.53* android LM-DXA + 0.126; r 2 =0.26, SEE= 0.21 kg, P = 0.018. Percentage trunk LM-MRI was inversely related to VAT (r=-0.79, P < 0.0001) and trunk fat mass (r=-0.83, P < 0.001). Only trunk LM-DXA was related to BMR (r = 0.61, P = 0.002). Persons with tetraplegia have 13% smaller trunk muscle cross-sectional areas (P = 0.036) compared to those with paraplegia. Trunk LM-DXA and android LM-DXA overestimated trunk LM-MRI. Percentage trunk LM-MRI, but not LM-DXA, was inversely related to trunk central adiposity. The findings highlight the importance of exercising trunk LM to attenuate cardio-metabolic disorders after SCI.

The Web 2.0 concept of urban disaster information in Taipei city: Mobile application development

NASA Astrophysics Data System (ADS)

Tsai, Yuan-Fan; Chan, Chun-Hsiang; Wang, Han; Pan, Yun-Xing; Lin, Gine-Jie

2014-05-01

In recent years, due to the global warming and global climate anomaly, more and more disasters appear such as flood and debris flow. The disasters always cause loss of life and property. However, the cross-aged invention, smart phone, makes our life more conveniently for delivering lots of information instantly. This study uses Eclipse as the development platform, and designs the urban disaster information mobile Application (APP) which is for debris flow and flood in Taipei city area. In this study, an urban disaster information APP, Taipei Let You Know, has successfully developed under android development environment, combined disaster indicators and the warming value of disaster. In order to ameliorate official information delay problem, this APP not only shows official information, but also offers a WEB 2.0 platform for public users to upload all disaster information instantly. As the result, the losses of life and property can decrease, and the disaster information delivery can be faster and more accurate by utilizing this APP in the future.

Mobile applications and Virtual Observatory

NASA Astrophysics Data System (ADS)

Schaaff, A.; Jagade, S.

2015-06-01

Within a few years, smartphones and Internet tablets have become the devices to access Web or standalone applications from everywhere, with a rapid development of the bandwidth of the mobile networks (e.g. 4G). Internet tablets are used to take notes during meetings or conferences, to read scientific papers in public transportation, etc. A smartphone is for example a way to have your data in the pocket or to control, from everywhere, the progress of a heavy workflow process. These mobile devices have enough powerful hardware to run more and more complex applications for many use cases. In the field of astronomy it is possible to use these tools to access data via a simple browser, but also to develop native applications reusing libraries (written in Java for Android or Objective-C/Swift for iOS) developed for desktops/laptops. We describe the experiments conducted in this domain, at CDS and IUCAA, considering a mobile application as a native application as well as a Web application.

Designing Intelligent Secure Android Application for Effective Chemical Inventory

NASA Astrophysics Data System (ADS)

Shukran, Mohd Afizi Mohd; Naim Abdullah, Muhammad; Nazri Ismail, Mohd; Maskat, Kamaruzaman; Isa, Mohd Rizal Mohd; Shahfee Ishak, Muhammad; Adib Khairuddin, Muhamad

2017-08-01

Mobile services support various situations in everyday life and with the increasing sophistication of phone functions, the daily life is much more easier and better especially in term of managing tools and apparatus. Since chemical inventory management system has been experiencing a new revolution from antiquated to an automated inventory management system, some additional features should be added in current chemical inventory system. Parallel with the modern technologies, chemical inventory application using smart phone has been developed. Several studies about current related chemical inventory management using smart phone application has been done in this paper in order to obtain an overview on recent studies in smartphone application for chemical inventory system which are needed in schools, universities or other education institutions. This paper also discuss about designing the proposed secure mobile chemical inventory system. The study of this paper can provide forceful review analysis support for the chemical inventory management system related research.

The use of mobile technology for tourism development (case study: banyumas regency)

NASA Astrophysics Data System (ADS)

Gunawan, H.

2018-01-01

Banyumas is regency in Central Java Province and Purwokerto Capital City. Banyumas has a lot of tourism areas, but not all of the areas are known by tourists because the lack of information. The information on Banyumas government’s website is not updated and uncomplete, so that it needs other information services for the tourism information in Banyumas. An android-based application Banyumas Travel Guide (BMSGuide) is a location-based application to help the people can access the information whenever and wherever they are. The service in this application is using Android which is platform that is now developing rapidly with interface User Friendly and the price is affordable. The application will access Google Maps and show the user location, destination location along with the information, and the navigation to the location. The information is gotten by accessing the satellite with GPS (Global Positioning System) tool of the user’s headset. By using BMSGuide application, the information service of tourism location and the supporting place around is served.

Towards a Location-based Service for Early Mental Health Interventions in Disaster Response Using Minimalistic Tele-operated Android Robots Technology

NASA Astrophysics Data System (ADS)

Vahidi, H.; Mobasheri, A.; Alimardani, M.; Guan, Q.; Bakillah, M.

2014-04-01

Providing early mental health services during disaster is a great challenge in the disaster response phase. Lack of access to adequate mental-health professionals in the early stages of large-scale disasters dramatically influences the trend of a successful mental health aid. In this paper, a conceptual framework has been suggested for adopting cellphone-type tele-operated android robots in the early stages of disasters for providing the early mental health services for disaster survivors by developing a locationbased and participatory approach. The techniques of enabling GI-services in a Peer-to-Peer (P2P) environment were studied to overcome the limitations of current centralized services. Therefore, the aim of this research study is to add more flexibility and autonomy to GI web services (WMS, WFS, WPS, etc.) and alleviate to some degree the inherent limitations of these centralized systems. A P2P system Architecture is presented for the location-based service using minimalistic tele-operated android robots, and some key techniques of implementing this service using BestPeer were studied for developing this framework.

Degraded Operational Environment: Integration of Social Network Infrastructure Concept in a Traditional Military C2 System

DTIC Science & Technology

2013-06-01

Communication Applet) UNIGE – D.I.M.E. Using a free application as “MIT APP Inventor” Android Software Development Kit DEGRADED C2 ICCRTS 2013...operate on an Android operating system up-gradable on which will be developed a simplified ACA ( Android Communication Applet) that will call C24U...Server) IP number . . . Portable COTS Devices ACA - C24U ( Android Communication Applet) Sending/receiving SEFL (Simple Exchange

Smartphone Applications for the Clinical Oncologist in UK Practice.

PubMed

Rozati, Hamoun; Shah, Sonya Pratik; Shah, Neha

2015-06-01

A number of medical smartphone applications have been developed to assist clinical oncology specialists. Concerns have arisen that the information provided may not be under sufficient scrutiny. This study aims to analyse the current applications available for clinical oncologists in the UK. Applications aimed specifically at physician clinical oncologists were searched for on the major smartphone operating systems: Apple iOS; Google Android; Microsoft Windows OS; and Blackberry OS. All applications were installed and analysed. The applications were scrutinised to assess the following information: cost; whether the information included was referenced; when the information was last updated; and whether they made any reference to UK guidelines. A novel rating score based on these criteria was applied to each application. Fifty applications were identified: 24 for Apple's iOS; 23 for Google's Android; 2 for Blackberry OS; and 1 for Windows OS. The categories of applications available were: drug reference; journal reference; learning; clinical calculators; decision support; guidelines; and dictionaries. Journal reference and guideline applications scored highly on our rating system. Drug reference application costs were prohibitive. Learning tools were poorly referenced and not up-to-date. Smartphones provide easy access to information. There are numerous applications devoted to oncology physicians, many of which are free and contain referenced, up-to-date data. The cost and quality of drug reference and learning applications have significant scope for improvement. A regulatory body is needed to ensure the presence of peer-reviewed, validated applications to ensure their reliability.

Android platform based smartphones for a logistical remote association repair framework.

PubMed

Lien, Shao-Fan; Wang, Chun-Chieh; Su, Juhng-Perng; Chen, Hong-Ming; Wu, Chein-Hsing

2014-06-25

The maintenance of large-scale systems is an important issue for logistics support planning. In this paper, we developed a Logistical Remote Association Repair Framework (LRARF) to aid repairmen in keeping the system available. LRARF includes four subsystems: smart mobile phones, a Database Management System (DBMS), a Maintenance Support Center (MSC) and wireless networks. The repairman uses smart mobile phones to capture QR-codes and the images of faulty circuit boards. The captured QR-codes and images are transmitted to the DBMS so the invalid modules can be recognized via the proposed algorithm. In this paper, the Linear Projective Transform (LPT) is employed for fast QR-code calibration. Moreover, the ANFIS-based data mining system is used for module identification and searching automatically for the maintenance manual corresponding to the invalid modules. The inputs of the ANFIS-based data mining system are the QR-codes and image features; the output is the module ID. DBMS also transmits the maintenance manual back to the maintenance staff. If modules are not recognizable, the repairmen and center engineers can obtain the relevant information about the invalid modules through live video. The experimental results validate the applicability of the Android-based platform in the recognition of invalid modules. In addition, the live video can also be recorded synchronously on the MSC for later use.

Android Platform Based Smartphones for a Logistical Remote Association Repair Framework

PubMed Central

Lien, Shao-Fan; Wang, Chun-Chieh; Su, Juhng-Perng; Chen, Hong-Ming; Wu, Chein-Hsing

2014-01-01

The maintenance of large-scale systems is an important issue for logistics support planning. In this paper, we developed a Logistical Remote Association Repair Framework (LRARF) to aid repairmen in keeping the system available. LRARF includes four subsystems: smart mobile phones, a Database Management System (DBMS), a Maintenance Support Center (MSC) and wireless networks. The repairman uses smart mobile phones to capture QR-codes and the images of faulty circuit boards. The captured QR-codes and images are transmitted to the DBMS so the invalid modules can be recognized via the proposed algorithm. In this paper, the Linear Projective Transform (LPT) is employed for fast QR-code calibration. Moreover, the ANFIS-based data mining system is used for module identification and searching automatically for the maintenance manual corresponding to the invalid modules. The inputs of the ANFIS-based data mining system are the QR-codes and image features; the output is the module ID. DBMS also transmits the maintenance manual back to the maintenance staff. If modules are not recognizable, the repairmen and center engineers can obtain the relevant information about the invalid modules through live video. The experimental results validate the applicability of the Android-based platform in the recognition of invalid modules. In addition, the live video can also be recorded synchronously on the MSC for later use. PMID:24967603

Problem solving in magnetic field: Animation in mobile application

NASA Astrophysics Data System (ADS)

Najib, A. S. M.; Othman, A. P.; Ibarahim, Z.

2014-09-01

This paper is focused on the development of mobile application for smart phone, Android, tablet, iPhone, and iPad as a problem solving tool in magnetic field. Mobile application designs consist of animations that were created by using Flash8 software which could be imported and compiled to prezi.com software slide. The Prezi slide then had been duplicated in Power Point format and instead question bank with complete answer scheme was also additionally generated as a menu in the application. Results of the published mobile application can be viewed and downloaded at Infinite Monkey website or at Google Play Store from your gadgets. Statistics of the application from Google Play Developer Console shows the high impact of the application usage in all over the world.

Development of smartphone application that aids stroke screening and identifying nearby acute stroke care hospitals.

PubMed

Nam, Hyo Suk; Heo, JoonNyung; Kim, Jinkwon; Kim, Young Dae; Song, Tae Jin; Park, Eunjeong; Heo, Ji Hoe

2014-01-01

The benefits of thrombolytic treatment are time-dependent. We developed a smartphone application that aids stroke patient self-screening and hospital selection, and may also decrease hospital arrival time. The application was developed for iPhone and Android smartphones. Map data for the application were adopted from the open map. For hospital registration, a web page (http://stroke119.org) was developed using PHP and MySQL. The Stroke 119 application includes a stroke screening tool and real-time information on nearby hospitals that provide thrombolytic treatment. It also provides information on stroke symptoms, thrombolytic treatment, and prescribed actions when stroke is suspected. The stroke screening tool was adopted from the Cincinnati Prehospital Stroke Scale and is displayed in a cartoon format. If the user taps a cartoon image that represents abnormal findings, a pop-up window shows that the user may be having a stroke, informs the user what to do, and directs the user to call emergency services. Information on nearby hospitals is provided in map and list views, incorporating proximity to the user's location using a Global Positioning System (a built-in function of smartphones). Users can search for a hospital according to specialty and treatment levels. We also developed a web page for hospitals to register in the system. Neurology training hospitals and hospitals that provide acute stroke care in Korea were invited to register. Seventy-seven hospitals had completed registration. This application may be useful for reducing hospital arrival times for thrombolytic candidates.

A mobile app for military operational entomology pesticide applications.

PubMed

Britch, Seth C; Linthicum, Kenneth J; Aldridge, Robert L; Yans, Matthew W; Hill, David W; Obenauer, Peter J; Hoffman, Eric R

2014-09-01

Multiple field studies conducted for the Deployed War-Fighter Protection (DWFP) research program have generated more than 80 specific guidance points for innovative combinations of pesticide application equipment, pesticide formulations, and application techniques for aerosol and residual pesticide treatments in 6 ecological regions against a range of mosquito, sand fly, and filth fly nuisance and disease-vector threats. To synthesize and operationalize these DWFP field and laboratory efficacy data we developed an interactive iOS and Android mobile software application, the Pesticide App, consisting of specific pesticide application guidance organized by environment and target insect vector species.

Development of Smartphone Educational Application for Patients with Coronary Artery Disease

PubMed Central

Cho, Min Jung; Sim, Jae Lan

2014-01-01

Objectives This study was conducted to develop a smartphone application (app) as an educational learning instrument for coronary artery disease (CAD) patients and to assess the users' level of satisfaction. Methods This methodological research involves elicited learning content for CAD patients to develop a learning instrument using the smartphone app. The app was developed according to the steps of Assessment, Design, Development, Implementation, and Evaluation, which is a systematic instructional design model. The levels of satisfaction with the developed smartphone app among 30 outpatients with CAD were assessed via a questionnaire during their visits to a cardiology outpatient department. Results A smartphone app 'Strong Heart' was developed through reviewing the literature associated with education for CAD patients under professional supervision and searching for medical smartphone apps that are already available. The learning contents include six main sections containing essential learning issues in managing CAD and additional information to attract the user's attention, such as patient cases and quizzes. After modification with feedback from experts, the app was finally developed and evaluated by patients who reported that they were satisfied with the usefulness of the app. Conclusions The developed smartphone app is available on both the iPhone App Store and the Android Play Store. Patients with CAD may utilize the app for supporting educational material without limitations of time and space. PMID:24872910

Smartphone-Based Android app for Determining UVA Aerosol Optical Depth and Direct Solar Irradiances.

PubMed

Igoe, Damien P; Parisi, Alfio; Carter, Brad

2014-01-01

This research describes the development and evaluation of the accuracy and precision of an Android app specifically designed, written and installed on a smartphone for detecting and quantifying incident solar UVA radiation and subsequently, aerosol optical depth at 340 and 380 nm. Earlier studies demonstrated that a smartphone image sensor can detect UVA radiation and the responsivity can be calibrated to measured direct solar irradiance. This current research provides the data collection, calibration, processing, calculations and display all on a smartphone. A very strong coefficient of determination of 0.98 was achieved when the digital response was recalibrated and compared to the Microtops sun photometer direct UVA irradiance observations. The mean percentage discrepancy for derived direct solar irradiance was only 4% and 6% for observations at 380 and 340 nm, respectively, lessening with decreasing solar zenith angle. An 8% mean percent difference discrepancy was observed when comparing aerosol optical depth, also decreasing as solar zenith angle decreases. The results indicate that a specifically designed Android app linking and using a smartphone image sensor, calendar and clock, with additional external narrow bandpass and neutral density filters can be used as a field sensor to evaluate both direct solar UVA irradiance and low aerosol optical depths for areas with low aerosol loads. © 2013 The American Society of Photobiology.

RSTensorFlow: GPU Enabled TensorFlow for Deep Learning on Commodity Android Devices

PubMed Central

Alzantot, Moustafa; Wang, Yingnan; Ren, Zhengshuang; Srivastava, Mani B.

2018-01-01

Mobile devices have become an essential part of our daily lives. By virtue of both their increasing computing power and the recent progress made in AI, mobile devices evolved to act as intelligent assistants in many tasks rather than a mere way of making phone calls. However, popular and commonly used tools and frameworks for machine intelligence are still lacking the ability to make proper use of the available heterogeneous computing resources on mobile devices. In this paper, we study the benefits of utilizing the heterogeneous (CPU and GPU) computing resources available on commodity android devices while running deep learning models. We leveraged the heterogeneous computing framework RenderScript to accelerate the execution of deep learning models on commodity Android devices. Our system is implemented as an extension to the popular open-source framework TensorFlow. By integrating our acceleration framework tightly into TensorFlow, machine learning engineers can now easily make benefit of the heterogeneous computing resources on mobile devices without the need of any extra tools. We evaluate our system on different android phones models to study the trade-offs of running different neural network operations on the GPU. We also compare the performance of running different models architectures such as convolutional and recurrent neural networks on CPU only vs using heterogeneous computing resources. Our result shows that although GPUs on the phones are capable of offering substantial performance gain in matrix multiplication on mobile devices. Therefore, models that involve multiplication of large matrices can run much faster (approx. 3 times faster in our experiments) due to GPU support. PMID:29629431

RSTensorFlow: GPU Enabled TensorFlow for Deep Learning on Commodity Android Devices.

PubMed

Alzantot, Moustafa; Wang, Yingnan; Ren, Zhengshuang; Srivastava, Mani B

2017-06-01

Mobile devices have become an essential part of our daily lives. By virtue of both their increasing computing power and the recent progress made in AI, mobile devices evolved to act as intelligent assistants in many tasks rather than a mere way of making phone calls. However, popular and commonly used tools and frameworks for machine intelligence are still lacking the ability to make proper use of the available heterogeneous computing resources on mobile devices. In this paper, we study the benefits of utilizing the heterogeneous (CPU and GPU) computing resources available on commodity android devices while running deep learning models. We leveraged the heterogeneous computing framework RenderScript to accelerate the execution of deep learning models on commodity Android devices. Our system is implemented as an extension to the popular open-source framework TensorFlow. By integrating our acceleration framework tightly into TensorFlow, machine learning engineers can now easily make benefit of the heterogeneous computing resources on mobile devices without the need of any extra tools. We evaluate our system on different android phones models to study the trade-offs of running different neural network operations on the GPU. We also compare the performance of running different models architectures such as convolutional and recurrent neural networks on CPU only vs using heterogeneous computing resources. Our result shows that although GPUs on the phones are capable of offering substantial performance gain in matrix multiplication on mobile devices. Therefore, models that involve multiplication of large matrices can run much faster (approx. 3 times faster in our experiments) due to GPU support.

Improving situation awareness with the Android Team Awareness Kit (ATAK)

NASA Astrophysics Data System (ADS)

Usbeck, Kyle; Gillen, Matthew; Loyall, Joseph; Gronosky, Andrew; Sterling, Joshua; Kohler, Ralph; Hanlon, Kelly; Scally, Andrew; Newkirk, Richard; Canestrare, David

2015-05-01

To make appropriate, timely decisions in the field, Situational Awareness (SA) needs to be conveyed in a decentralized manner to the users at the edge of the network as well as at operations centers. Sharing real-time SA efficiently between command centers and operational troops poses many challenges, including handling heterogeneous and dynamic networks, resource constraints, and varying needs for the collection, dissemination, and display of information, as well as recording that information. A mapping application that allows teams to share relevant geospatial information efficiently and to communicate effectively with one another and command centers has wide applicability to many vertical markets across the Department of Defense, as well as a wide variety of federal, state local, and non-profit agencies that need to share locations, text, photos, and video. This paper describes the Android Team Awareness Kit (ATAK), an advanced, distributed tool for commercial- off-the-shelf (COTS) mobile devices such as smartphones and tablets. ATAK provides a variety of useful SA functions for soldiers, law enforcement, homeland defense, and civilian collaborative use; including mapping and navigation, range and bearing, text chat, force tracking, geospatial markup tools, image and file sharing, video playback, site surveys, and many others. This paper describes ATAK, the SA tools that ATAK has built-in, and the ways it is being used by a variety of military, homeland security, and law enforcement users.

End-user acceptance of a cloud-based teledentistry system and Android phone app for remote screening for oral diseases.

PubMed

Estai, Mohamed; Kanagasingam, Yogesan; Xiao, Di; Vignarajan, Janardhan; Bunt, Stuart; Kruger, Estie; Tennant, Marc

2017-01-01

Objective This study aimed to evaluate users' acceptance of a teledentistry model utilizing a smartphone camera used for dental caries screening and to identify a number of areas for improvement of the system. Methods A store-and-forward telemedicine platform "Remote-I" was developed to assist in the screening of oral diseases using an image acquisition Android app operated by 17 teledental assistants. A total of 485 images (five images per case) were directly transmitted from the Android app to the server. A panel of five dental practitioners (graders) assessed the images and reported their diagnosis. A user acceptance survey was sent to the graders and smartphone users following completion of the screening program. Results Of the 22 surveys sent out, 20 (91%) were completed. Generally, users showed optimism towards the use of the teledentistry system, and strongly positively assessed items on content and service quality. The majority of graders took less than 15 min to read the images while phone users took 5-10 min to complete the dental photography using the Android app. This study identified a number of factors that are essential for improving the current system, such as optimization of smartphone camera features, the format of the server, and the orientation of images and using oral retractors during photography. Conclusions Users appear to be generally satisfied with the proposed teledentistry model. However, they have specific concerns to address, many of which could be resolved through more effective training, coordination between sites and upgrading the current system.

Infrastructure-Less Communication Platform for Off-The-Shelf Android Smartphones.

PubMed

Oide, Takuma; Abe, Toru; Suganuma, Takuo

2018-03-04

As smartphones and other small portable devices become more sophisticated and popular, opportunities for communication and information sharing among such device users have increased. In particular, since it is known that infrastructure-less device-to-device (D2D) communication platforms consisting only of such devices are excellent in terms of, for example, bandwidth efficiency, efforts are being made to merge their information sharing capabilities with conventional infrastructure. However, efficient multi-hop communication is difficult with the D2D communication protocol, and many conventional D2D communication platforms require modifications of the protocol and terminal operating systems (OSs). In response to these issues, this paper reports on a proposed tree-structured D2D communication platform for Android devices that combines Wi-Fi Direct and Wi-Fi functions. The proposed platform, which is expected to be used with general Android 4.0 (or higher) OS equipped terminals, makes it possible to construct an ad hoc network instantaneously without sharing prior knowledge among participating devices. We will show the feasibility of our proposed platform through its design and demonstrate the implementation of a prototype using real devices. In addition, we will report on our investigation into communication delays and stability based on the number of hops and on terminal performance through experimental confirmation experiments.

Development of Cell Phone Application for Blood Glucose Self-Monitoring Based on ISO/IEEE 11073 and HL7 CCD.

PubMed

Park, Hyun Sang; Cho, Hune; Kim, Hwa Sun

2015-04-01

The objectives of this research were to develop and evaluate a cell phone application based on the standard protocol for personal health devices and the standard information model for personal health records to support effective blood glucose management and standardized service for patients with diabetes. An application was developed for Android 4.0.3. In addition, an IEEE 11073 Manager, Medical Device Encoding Rule, and Bluetooth Health Device Profile Connector were developed for standardized health communication with a glucometer, and a Continuity of Care Document (CCD) Composer and CCD Parser were developed for CCD document exchange. The developed application was evaluated by five healthcare professionals and 87 users through a questionnaire comprising the following variables: usage intention, effort expectancy, social influence, facilitating condition, perceived risk, and voluntariness. As a result of the evaluation of usability, it was confirmed that the developed application is useful for blood glucose self-monitoring by diabetic patients. In particular, the healthcare professionals stated their own views that the application is useful to observe the trends in blood glucose change through the automatic function which records a blood glucose level measured using Bluetooth function, and the function which checks accumulated records of blood glucose levels. Also, a result of the evaluation of usage intention was 3.52 ± 0.42 out of 5 points. The application developed by our research team was confirmed by the verification of healthcare professionals that accurate feedback can be provided to healthcare professionals during the management of diabetic patients or education for glucose management.

Development of Cell Phone Application for Blood Glucose Self-Monitoring Based on ISO/IEEE 11073 and HL7 CCD

PubMed Central

Park, Hyun Sang; Cho, Hune

2015-01-01

Objectives The objectives of this research were to develop and evaluate a cell phone application based on the standard protocol for personal health devices and the standard information model for personal health records to support effective blood glucose management and standardized service for patients with diabetes. Methods An application was developed for Android 4.0.3. In addition, an IEEE 11073 Manager, Medical Device Encoding Rule, and Bluetooth Health Device Profile Connector were developed for standardized health communication with a glucometer, and a Continuity of Care Document (CCD) Composer and CCD Parser were developed for CCD document exchange. The developed application was evaluated by five healthcare professionals and 87 users through a questionnaire comprising the following variables: usage intention, effort expectancy, social influence, facilitating condition, perceived risk, and voluntariness. Results As a result of the evaluation of usability, it was confirmed that the developed application is useful for blood glucose self-monitoring by diabetic patients. In particular, the healthcare professionals stated their own views that the application is useful to observe the trends in blood glucose change through the automatic function which records a blood glucose level measured using Bluetooth function, and the function which checks accumulated records of blood glucose levels. Also, a result of the evaluation of usage intention was 3.52 ± 0.42 out of 5 points. Conclusions The application developed by our research team was confirmed by the verification of healthcare professionals that accurate feedback can be provided to healthcare professionals during the management of diabetic patients or education for glucose management. PMID:25995960

DNAApp: a mobile application for sequencing data analysis

PubMed Central

Nguyen, Phi-Vu; Verma, Chandra Shekhar; Gan, Samuel Ken-En

2014-01-01

Summary: There have been numerous applications developed for decoding and visualization of ab1 DNA sequencing files for Windows and MAC platforms, yet none exists for the increasingly popular smartphone operating systems. The ability to decode sequencing files cannot easily be carried out using browser accessed Web tools. To overcome this hurdle, we have developed a new native app called DNAApp that can decode and display ab1 sequencing file on Android and iOS. In addition to in-built analysis tools such as reverse complementation, protein translation and searching for specific sequences, we have incorporated convenient functions that would facilitate the harnessing of online Web tools for a full range of analysis. Given the high usage of Android/iOS tablets and smartphones, such bioinformatics apps would raise productivity and facilitate the high demand for analyzing sequencing data in biomedical research. Availability and implementation: The Android version of DNAApp is available in Google Play Store as ‘DNAApp’, and the iOS version is available in the App Store. More details on the app can be found at www.facebook.com/APDLab; www.bii.a-star.edu.sg/research/trd/apd.php The DNAApp user guide is available at http://tinyurl.com/DNAAppuser, and a video tutorial is available on Google Play Store and App Store, as well as on the Facebook page. Contact: samuelg@bii.a-star.edu.sg PMID:25095882

DNAApp: a mobile application for sequencing data analysis.

PubMed

Nguyen, Phi-Vu; Verma, Chandra Shekhar; Gan, Samuel Ken-En

2014-11-15

There have been numerous applications developed for decoding and visualization of ab1 DNA sequencing files for Windows and MAC platforms, yet none exists for the increasingly popular smartphone operating systems. The ability to decode sequencing files cannot easily be carried out using browser accessed Web tools. To overcome this hurdle, we have developed a new native app called DNAApp that can decode and display ab1 sequencing file on Android and iOS. In addition to in-built analysis tools such as reverse complementation, protein translation and searching for specific sequences, we have incorporated convenient functions that would facilitate the harnessing of online Web tools for a full range of analysis. Given the high usage of Android/iOS tablets and smartphones, such bioinformatics apps would raise productivity and facilitate the high demand for analyzing sequencing data in biomedical research. The Android version of DNAApp is available in Google Play Store as 'DNAApp', and the iOS version is available in the App Store. More details on the app can be found at www.facebook.com/APDLab; www.bii.a-star.edu.sg/research/trd/apd.php The DNAApp user guide is available at http://tinyurl.com/DNAAppuser, and a video tutorial is available on Google Play Store and App Store, as well as on the Facebook page. samuelg@bii.a-star.edu.sg. © The Author 2014. Published by Oxford University Press.

Real time heart rate variability assessment from Android smartphone camera photoplethysmography: Postural and device influences.

PubMed

Guede-Fernandez, F; Ferrer-Mileo, V; Ramos-Castro, J; Fernandez-Chimeno, M; Garcia-Gonzalez, M A

2015-01-01

The aim of this paper is to present a smartphone based system for real-time pulse-to-pulse (PP) interval time series acquisition by frame-to-frame camera image processing. The developed smartphone application acquires image frames from built-in rear-camera at the maximum available rate (30 Hz) and the smartphone GPU has been used by Renderscript API for high performance frame-by-frame image acquisition and computing in order to obtain PPG signal and PP interval time series. The relative error of mean heart rate is negligible. In addition, measurement posture and the employed smartphone model influences on the beat-to-beat error measurement of heart rate and HRV indices have been analyzed. Then, the standard deviation of the beat-to-beat error (SDE) was 7.81 ± 3.81 ms in the worst case. Furthermore, in supine measurement posture, significant device influence on the SDE has been found and the SDE is lower with Samsung S5 than Motorola X. This study can be applied to analyze the reliability of different smartphone models for HRV assessment from real-time Android camera frames processing.

SMART Application: One stop services bridging the gap between doctor and patients

NASA Astrophysics Data System (ADS)

Wiweko, Budi; Agung, P. G.; Narasati, Shabrina

2017-02-01

In this study, we describe the SMART IVF services that has been developed into android-based application as "SMART Application". In this application, we can find one stop services in IVF. This application is expected to help patients to plan effectively for IVF procedure, full access to their IVF information helps them ease off a lot of stress and anxiety in this very delicate and stressful phase in their lives and help the doctor to plan for the best intervention of patients who face infertility problems using Assisted Reproductive Technology (ART). SMART application will be compatible with all major mobile operating systems.

Implementation of Super-Encryption with Trithemius Algorithm and Double Transposition Cipher in Securing PDF Files on Android Platform

NASA Astrophysics Data System (ADS)

Budiman, M. A.; Rachmawati, D.; Jessica

2018-03-01

This study aims to combine the trithemus algorithm and double transposition cipher in file security that will be implemented to be an Android-based application. The parameters being examined are the real running time, and the complexity value. The type of file to be used is a file in PDF format. The overall result shows that the complexity of the two algorithms with duper encryption method is reported as Θ (n 2). However, the processing time required in the encryption process uses the Trithemius algorithm much faster than using the Double Transposition Cipher. With the length of plaintext and password linearly proportional to the processing time.

Behind the Robot's Smiles and Frowns: In Social Context, People Do Not Mirror Android's Expressions But React to Their Informational Value.

PubMed

Hofree, Galit; Ruvolo, Paul; Reinert, Audrey; Bartlett, Marian S; Winkielman, Piotr

2018-01-01

Facial actions are key elements of non-verbal behavior. Perceivers' reactions to others' facial expressions often represent a match or mirroring (e.g., they smile to a smile). However, the information conveyed by an expression depends on context. Thus, when shown by an opponent, a smile conveys bad news and evokes frowning. The availability of anthropomorphic agents capable of facial actions raises the question of how people respond to such agents in social context. We explored this issue in a study where participants played a strategic game with or against a facially expressive android. Electromyography (EMG) recorded participants' reactions over zygomaticus muscle (smiling) and corrugator muscle (frowning). We found that participants' facial responses to android's expressions reflect their informational value, rather than a direct match. Overall, participants smiled more, and frowned less, when winning than losing. Critically, participants' responses to the game outcome were similar regardless of whether it was conveyed via the android's smile or frown. Furthermore, the outcome had greater impact on people's facial reactions when it was conveyed through android's face than a computer screen. These findings demonstrate that facial actions of artificial agents impact human facial responding. They also suggest a sophistication in human-robot communication that highlights the signaling value of facial expressions.

Cognitive radio based optimal channel sensing and resources allocation

NASA Astrophysics Data System (ADS)

Vijayasarveswari, V.; Khatun, S.; Fakir, M. M.; Nayeem, M. N.; Kamarudin, L. M.; Jakaria, A.

2017-03-01

Cognitive radio (CR) is the latest type of wireless technoloy that is proposed to mitigate spectrum saturation problem. İn cognitve radio, secondary user will use primary user's spectrum during primary user's absence without interupting primary user's transmission. This paper focuses on practical cognitive radio network development process using Android based smart phone for the data transmission. Energy detector based sensing method was proposed and used here because it doesnot require primary user's information. Bluetooth and Wi-fi are the two available types of spectrum that was sensed for CR detection. Simulation showed cognitive radio network can be developed using Android based smart phones. So, a complete application was developed using Java based Android Eclipse program. Finally, the application was uploaded and run on Android based smart phone to form and verify CR network for channel sensing and resource allocation. The observed efficiency of the application was around 81%.

Design, implementation and validation of a novel open framework for agile development of mobile health applications.

PubMed

Banos, Oresti; Villalonga, Claudia; Garcia, Rafael; Saez, Alejandro; Damas, Miguel; Holgado-Terriza, Juan A; Lee, Sungyong; Pomares, Hector; Rojas, Ignacio

2015-01-01

The delivery of healthcare services has experienced tremendous changes during the last years. Mobile health or mHealth is a key engine of advance in the forefront of this revolution. Although there exists a growing development of mobile health applications, there is a lack of tools specifically devised for their implementation. This work presents mHealthDroid, an open source Android implementation of a mHealth Framework designed to facilitate the rapid and easy development of mHealth and biomedical apps. The framework is particularly planned to leverage the potential of mobile devices such as smartphones or tablets, wearable sensors and portable biomedical systems. These devices are increasingly used for the monitoring and delivery of personal health care and wellbeing. The framework implements several functionalities to support resource and communication abstraction, biomedical data acquisition, health knowledge extraction, persistent data storage, adaptive visualization, system management and value-added services such as intelligent alerts, recommendations and guidelines. An exemplary application is also presented along this work to demonstrate the potential of mHealthDroid. This app is used to investigate on the analysis of human behavior, which is considered to be one of the most prominent areas in mHealth. An accurate activity recognition model is developed and successfully validated in both offline and online conditions.

Infrastructure-Less Communication Platform for Off-The-Shelf Android Smartphones

PubMed Central

2018-01-01

As smartphones and other small portable devices become more sophisticated and popular, opportunities for communication and information sharing among such device users have increased. In particular, since it is known that infrastructure-less device-to-device (D2D) communication platforms consisting only of such devices are excellent in terms of, for example, bandwidth efficiency, efforts are being made to merge their information sharing capabilities with conventional infrastructure. However, efficient multi-hop communication is difficult with the D2D communication protocol, and many conventional D2D communication platforms require modifications of the protocol and terminal operating systems (OSs). In response to these issues, this paper reports on a proposed tree-structured D2D communication platform for Android devices that combines Wi-Fi Direct and Wi-Fi functions. The proposed platform, which is expected to be used with general Android 4.0 (or higher) OS equipped terminals, makes it possible to construct an ad hoc network instantaneously without sharing prior knowledge among participating devices. We will show the feasibility of our proposed platform through its design and demonstrate the implementation of a prototype using real devices. In addition, we will report on our investigation into communication delays and stability based on the number of hops and on terminal performance through experimental confirmation experiments. PMID:29510536

GIS Data Collection for Pedestrian Facilities and Furniture Using Mapinr for Android

NASA Astrophysics Data System (ADS)

Naharudin, N.; Ahamad, M. S. S.; Sadullah, A. F. M.

2016-09-01

Mobile GIS is introduced to reduce the time taken in completing the field data collection procedure. With the expansion of technology today, mobile GIS is not far behind. It can be integrated with the high-end innovation tools like smartphones. Spatial data capture which deemed to be the toughest stage of a GIS project is made simple with this method. Many studies had demonstrated the usage of mobile GIS in collecting spatial data and this paper discusses how it can be applied in capturing the GPS location of pedestrian furniture and facilities. Although some of the spatial data are available from local agencies, still a more detailed data is needed to create a better data model for this study. This study uses a free android application, MAPinr, which is available on the Google PlayStore to collect spatial data on site. It adopted the GNSS and cellular network positioning to locate the position of the required data. As the application allows the captured data to be exported to a GIS platform, the geometric error of the data was improved. In the end, an authenticated spatial dataset comprising pedestrian facilities and furniture in point and line form will be produced and later be used in a pedestrian network analysis study.

The PsyLOG mobile application: development of a tool for the assessment and monitoring of side effects of psychotropic medication.

PubMed

Kuzman, Martina Rojnic; Andlauer, Olivier; Burmeister, Kai; Dvoracek, Boris; Lencer, Rebekka; Koelkebeck, Katja; Nawka, Alexander; Riese, Florian

2017-06-01

Mobile health interventions are regarded as affordable and accessible tools that can enhance standard psychiatric care. As part of the mHealth Psycho-Educational Intervention Versus Antipsychotic-Induced Side Effects (mPIVAS) project (www.psylog.eu), we developed the mobile application "PsyLOG" based on mobile "smartphone" technology to monitor antipsychotic-induced side effects. The aim of this paper is to describe the rationale and development of the PsyLOG and its clinical use. The PsyLOG application runs on smartphones with Android operating system. The application is currently available in seven languages (Croatian, Czech, English, French, German, Japanese and Serbian). It consists of several categories: "My Drug Effects", "My Life Styles", "My Charts", "My Medication", "My Strategies", "My Supporters", "Settings" and "About". The main category "My Drug Effects" includes a list of 30 side effects with the possibility to add three additional side effects. Side effects are each accompanied by an appropriate description and the possibility to rate its severity on a visual analogue scale from 0-100%. The PsyLOG application is intended to enhance the link between patients and mental health professionals, serving as a tool that more objectively monitors side-effects over certain periods of time. To the best of our knowledge, no such applications have so far been developed for patients taking antipsychotic medication or for their therapists.

Techtalk: Mobile Learning and Literacy Development

ERIC Educational Resources Information Center

Caverly, David C.

2013-01-01

In the last column, author David Caverly discussed the role of mobile devices (i.e., phones, tablets, laptops) in everyday lives and in academia. In this column, he reviews specific apps for fostering literacy development. Still, he warns that with over 800,000 apps for Apple and Android devices (iOS or Android, respectively) and the Windows…

Surgical smartphone applications across different platforms: their evolution, uses, and users.

PubMed

Kulendran, Myutan; Lim, Marcus; Laws, Georgia; Chow, Andre; Nehme, Jean; Darzi, Ara; Purkayastha, Sanjay

2014-08-01

There are a vast array of smartphone applications that could benefit both surgeons and their patients. To review and identify all relevant surgical smartphone applications available for the Apple iPhone iOS and Google Android platform based on their user group and subspecialty for which they were designed. Both the literature using PubMed and Google Scholar were searched using the following terms: application$, smartphone$, app$, app*, surgery, surgical, surg*, general surgery, general surg*, bariatric$, urology and plastic surgery, ortho*, orthop(a)edic, cardiac surgery, cardiothoracic, neurosurgery, and ophthalmology. The search yielded 38 articles of which 23 were eligible. Each of the key specialties was searched in the Apple iTunes App Store for iPhone iOS and the Google Play Android application store. In total, there were 621 surgical applications for Apple iPhone iOS and 97 identified on Android's Google Play. There has been a 9-fold increase in the number of surgical applications available for the Apple iPhone iOS from 2009 to 2012. Of these applications there were 126 dedicated to plastic surgery, 79 to orthopedics, 41 to neurosurgical, 180 to general surgery, 36 to cardiac surgery, 121 to ophthalmology, and 44 to urology. There was a wide range of applications ranging from simple flashcards to be used for revision to virtual surgery applications that provided surgical exposure and familiarization with common operative procedures. Despite the plethora of surgical applications available for smartphones, there is no taxonomy for medical applications. Only 12% were affiliated with an academic institution or association, which highlights the need for greater regulation of surgical applications. © The Author(s) 2014.

Associations Between Sedentary Time, Physical Activity, and Dual-Energy X-ray Absorptiometry Measures of Total Body, Android, and Gynoid Fat Mass in Children.

PubMed

McCormack, Lacey; Meendering, Jessica; Specker, Bonny; Binkley, Teresa

2016-01-01

Negative health outcomes are associated with excess body fat, low levels of physical activity (PA), and high sedentary time (ST). Relationships between PA, ST, and body fat distribution, including android and gynoid fat, assessed using dual-energy X-ray absorptiometry (DXA) have not been measured in children. The purpose of this study was to test associations between levels of activity and body composition in children and to evaluate if levels of activity predict body composition by DXA and by body mass index percentile in a similar manner. PA, ST, and body composition from 87 children (8.8-11.8 yr, grades 3-5, 44 boys) were used to test the association among study variables. Accelerometers measured PA and ST. Body composition measured by DXA included bone mineral content (BMC) and fat and lean mass of the total body (TB, less head), android, and gynoid regions. ST (range: 409-685 min/wk) was positively associated with TB percent fat (0.03, 95% confidence interval [CI]: 0.00-0.05) and android fat mass (1.5 g, 95% CI: 0.4-3.0), and inversely associated with the lean mass of the TB (-10.7 g, 95% CI: -20.8 to -0.63) and gynoid regions (-2.2 g, 95% CI: -4.3 to -0.2), and with BMC (-0.43 g, 95% CI: 0.77-0.09). Moderate-to-vigorous PA was associated with lower TB (-53 g, 95% CI: -87 to -18), android (-5 g, 95% CI: -8 to -2]), and gynoid fat (-6 g, 95% CI: -11 to -0.5). Vigorous activity results were similar. Light PA was associated with increased TB (17.1 g, 95% CI: 3.0-31.3) and gynoid lean mass (3.9 g, 95% CI: 1.0-6.8) and BMC (0.59 g, 95% CI: 0.10-1.07). In boys, there were significant associations between activity and DXA percent body fat measures that were not found with the body mass index percentile. Objective measures of PA were inversely associated with TB, android, and gynoid fat, whereas ST was directly associated with TB percent fat and, in particular, android fat. Activity levels predict body composition measures by DXA and, in

Army Communicator. Volume 35, Number 4, Winter 2010

DTIC Science & Technology

2010-12-01

Students and cadre at the Signal Center of Excellence have written and published nearly 30 applications on the Android Market and iTunes Store in just...Android Market or the iTunes Store: http:// www.android.com/market/or www.apple.com/ iTunes . Our aggressive move into application development...family members, this Army would have collapsed like a deck of cards .” I agree. I would also like to thank our Army families for their sacrifice and

Development of a Metal Detector for Smartphones and Its Use in the Teaching Laboratory

ERIC Educational Resources Information Center

Sobral, Geraldo A.

2018-01-01

In this article, we describe how to develop an inductive metal detector that can be integrated to any Android or iOS smartphone with a standard audio port at low cost. The results indicate the metal detector can be used in the physics teaching laboratory as a practical application of principles of electromagnetism. It allows one to differentiate…

A Maze Game on Android Using Growing Tree Method

NASA Astrophysics Data System (ADS)

Hendrawan, Y. F.

2018-01-01

A maze is a type of puzzle games where a player moves in complex and branched passages to find a particular target or location. One method to create a maze is the Growing Tree method. The method creates a tree that has branches which are the paths of a maze. This research explored three types of Growing Tree method implementations for maze generation on Android mobile devices. The layouts produced could be played in first and third-person perspectives. The experiment results showed that it took 17.3 seconds on average to generate 20 cells x 20 cells dynamic maze layouts.

Assessing interactions among multiple physiological systems during walking outside a laboratory: An Android based gait monitor

PubMed Central

Sejdić, E.; Millecamps, A.; Teoli, J.; Rothfuss, M. A.; Franconi, N. G.; Perera, S.; Jones, A. K.; Brach, J. S.; Mickle, M. H.

2015-01-01

Gait function is traditionally assessed using well-lit, unobstructed walkways with minimal distractions. In patients with subclinical physiological abnormalities, these conditions may not provide enough stress on their ability to adapt to walking. The introduction of challenging walking conditions in gait can induce responses in physiological systems in addition to the locomotor system. There is a need for a device that is capable of monitoring multiple physiological systems in various walking conditions. To address this need, an Android-based gait-monitoring device was developed that enabled the recording of a patient's physiological systems during walking. The gait-monitoring device was tested during self-regulated overground walking sessions of fifteen healthy subjects that included 6 females and 9 males aged 18 to 35 years. The gait-monitoring device measures the patient's stride interval, acceleration, electrocardiogram, skin conductance and respiratory rate. The data is stored on an Android phone and is analyzed offline through the extraction of features in the time, frequency and time-frequency domains. The analysis of the data depicted multisystem physiological interactions during overground walking in healthy subjects. These interactions included locomotion-electrodermal, locomotion-respiratory and cardiolocomotion couplings. The current results depicting strong interactions between the locomotion system and the other considered systems (i.e., electrodermal, respiratory and cardivascular systems) warrant further investigation into multisystem interactions during walking, particularly in challenging walking conditions with older adults. PMID:26390946

Android and ODK based data collection framework to aid in epidemiological analysis

PubMed Central

Raja, A.; Tridane, A.; Gaffar, A.; Lindquist, T.; Pribadi, K.

2014-01-01

Periodic collection of field data, analysis and interpretation of data are key to a good healthcare service. This data is used by the subsequent decision makers to recognize preventive measures, provide timely support to the affected and to help measure the effects of their interventions. While the resources required for good disease surveillance and proactive healthcare are available more readily in developed countries, the lack of these in developing countries may compromise the quality of service provided. This combined with the critical nature of some diseases makes this an essential issue to be addressed. Taking advantage of the rapid growth of cell phone usage and related infrastructure in developed as well as developing countries, several systems have been established to address the gaps in data collection. Android, being an open sourced platform, has gained considerable popularity in this aspect. Open data kit is one such tool developed to aid in data collection. The aim of this paper is to present a prototype framework built using few such existing tools and technologies to address data collection for seasonal influenza, commonly referred to as the flu. PMID:24678381

Weight fluctuations could increase blood pressure in android obese women.

PubMed

Guagnano, M T; Pace-Palitti, V; Carrabs, C; Merlitti, D; Sensi, S

1999-06-01

Recent studies have documented a relationship between increased morbidity and mortality from cardiovascular diseases and a history of weight cycling (WC) in obese subjects. We performed a cross-sectional analysis in 96 weight-cycling android obese women, matched with 96 non-weight-cycling android obese women by age, body mass index (BMI) and waist-to-hip ratio (WHR), to evaluate any increase in blood pressure (BP) levels in association with WC. The patients were all between 20 and 45 years old, were non-menopausal, did not smoke, did not take any medication, had normal glucose tolerance and were otherwise healthy. A history of WC was established on the basis of at least five weight losses in the previous 5 years due to dieting, with a weight loss of at least 4.5 kg per cycle. We documented higher levels of casual BP in the weight-cycling obese compared with the non-weight-cycling subjects: 147+/-12/90+/-8 mmHg versus 125+/-14/79+/-8 mmHg (P<0.001). The women with WC showed a statistically significant positive correlation between BP and age, weight, BMI, waist circumference, WHR, total weight regained and weight cycling index (WCI). However, in a multiple regression model only the WHR and WCI contributed significantly to the BP variability. These findings could support the hypothesis that it is the combined exposure of central-type obesity and WC that strongly raises the prediction of hypertension.

Development and Evaluation the Satisfaction of Using an Oral Health Survey Mobile Application.

PubMed

Detsomboonrat, Palinee; Pisarnturakit, Pagaporn Pantuwadee

2018-06-05

Surveying oral health at the community level should be done at regular intervals. Dental health personnel must assess the oral health status and needs of the community through the collection and interpretation of reliable health information. Thus, the aims of this study were (1) to develop a mobile application for oral health surveys, (2) to analyze the oral status of school children in Bangkok using the newly developed application, and (3) to evaluate user satisfaction with using the Oral Health Survey Mobile Application (OHSMA). The OHSMA Android app was created to facilitate the collection and transfer of oral health status data. The survey data on the oral health status of Grades 1-6 Thai schoolchildren were collected and analyzed using the OHSMA. A 5-point Likert scale questionnaire was used to evaluate the satisfaction of 125 dental students when using this new application compared with using paper forms. The prevalence of dental caries in 441 schoolchildren was 79.7%. The total mean decayed, missing, and filled for primary teeth (dmft) and decayed, missing, and filled for permanent teeth (DMFT) were 4.09 (d + D = 3.29, m + M = 0.15, and f + F = 0.65). Users indicated high satisfaction scores for three OHSMA features: font, color, and proper size. The results showed that paper forms were easier for inputting and recording the data compared with the OHSMA. However, the OHSMA was significantly easier for searching data and reporting data compared with paper forms (OHSMA 3.80, paper forms 3.35; p < 0.001, and OHSMA 3.80, paper forms 3.51; p < 0.001), respectively. Despite some limitations, this study suggests that the mobile application has the potential to collect valuable oral health survey data.

[Design of Oxygen Saturation, Heart Rate, Respiration Rate Detection System Based on Smartphone of Android Operating System].

PubMed

Zhu, Mingshan; Zeng, Bixin

2015-03-01

In this paper, we designed an oxygen saturation, heart rate, respiration rate monitoring system based on smartphone of android operating system, physiological signal acquired by MSP430 microcontroller and transmitted by Bluetooth module.

Developing "Care Assistant": A smartphone application to support caregivers of children with acute lymphoblastic leukaemia.

PubMed

Wang, Jingting; Yao, Nengliang; Wang, Yuanyuan; Zhou, Fen; Liu, Yanyan; Geng, Zhaohui; Yuan, Changrong

2016-04-01

Acute lymphoblastic leukaemia (ALL) is the most common childhood malignancy. Caring for children with ALL is an uncommon experience for parents without medical training. They urgently need professional assistance when their children are recovering at home. This paper documents the process of developing an Android application (app) "Care Assistant" for family caregivers of children with ALL. Key informant interviews and focus group studies were used before programming the app. The key informants and focus group members included: caregivers of children with ALL, cancer care physicians and nurses, and software engineers. We found several major challenges faced by caregivers: limited access to evidence-based clinic information, lack of financial and social assistance, deficient communications with doctors or nurses, lack of disease-related knowledge, and inconvenience of tracking treatments and testing results. This feedback was used to develop "Care Assistant". This app has eight modules: personal information, treatment tracking, family care, financial and social assistance, knowledge centre, self-assessment questionnaires, interactive platform, and reminders. We have also developed a web-based administration portal to manage the app. The usability and effectiveness of "Care Assistant" will be evaluated in future studies. © The Author(s) 2015.

Design, implementation and validation of a novel open framework for agile development of mobile health applications

PubMed Central

2015-01-01

The delivery of healthcare services has experienced tremendous changes during the last years. Mobile health or mHealth is a key engine of advance in the forefront of this revolution. Although there exists a growing development of mobile health applications, there is a lack of tools specifically devised for their implementation. This work presents mHealthDroid, an open source Android implementation of a mHealth Framework designed to facilitate the rapid and easy development of mHealth and biomedical apps. The framework is particularly planned to leverage the potential of mobile devices such as smartphones or tablets, wearable sensors and portable biomedical systems. These devices are increasingly used for the monitoring and delivery of personal health care and wellbeing. The framework implements several functionalities to support resource and communication abstraction, biomedical data acquisition, health knowledge extraction, persistent data storage, adaptive visualization, system management and value-added services such as intelligent alerts, recommendations and guidelines. An exemplary application is also presented along this work to demonstrate the potential of mHealthDroid. This app is used to investigate on the analysis of human behavior, which is considered to be one of the most prominent areas in mHealth. An accurate activity recognition model is developed and successfully validated in both offline and online conditions. PMID:26329639

Medical Device Integrated Vital Signs Monitoring Application with Real-Time Clinical Decision Support.

PubMed

Moqeem, Aasia; Baig, Mirza; Gholamhosseini, Hamid; Mirza, Farhaan; Lindén, Maria

2018-01-01

This research involves the design and development of a novel Android smartphone application for real-time vital signs monitoring and decision support. The proposed application integrates market available, wireless and Bluetooth connected medical devices for collecting vital signs. The medical device data collected by the app includes heart rate, oxygen saturation and electrocardiograph (ECG). The collated data is streamed/displayed on the smartphone in real-time. This application was designed by adopting six screens approach (6S) mobile development framework and focused on user-centered approach and considered clinicians-as-a-user. The clinical engagement, consultations, feedback and usability of the application in the everyday practices were considered critical from the initial phase of the design and development. Furthermore, the proposed application is capable to deliver rich clinical decision support in real-time using the integrated medical device data.

Validation of Physical Activity Tracking via Android Smartphones Compared to ActiGraph Accelerometer: Laboratory-Based and Free-Living Validation Studies.

PubMed

Hekler, Eric B; Buman, Matthew P; Grieco, Lauren; Rosenberger, Mary; Winter, Sandra J; Haskell, William; King, Abby C

2015-04-15

There is increasing interest in using smartphones as stand-alone physical activity monitors via their built-in accelerometers, but there is presently limited data on the validity of this approach. The purpose of this work was to determine the validity and reliability of 3 Android smartphones for measuring physical activity among midlife and older adults. A laboratory (study 1) and a free-living (study 2) protocol were conducted. In study 1, individuals engaged in prescribed activities including sedentary (eg, sitting), light (sweeping), moderate (eg, walking 3 mph on a treadmill), and vigorous (eg, jogging 5 mph on a treadmill) activity over a 2-hour period wearing both an ActiGraph and 3 Android smartphones (ie, HTC MyTouch, Google Nexus One, and Motorola Cliq). In the free-living study, individuals engaged in usual daily activities over 7 days while wearing an Android smartphone (Google Nexus One) and an ActiGraph. Study 1 included 15 participants (age: mean 55.5, SD 6.6 years; women: 56%, 8/15). Correlations between the ActiGraph and the 3 phones were strong to very strong (ρ=.77-.82). Further, after excluding bicycling and standing, cut-point derived classifications of activities yielded a high percentage of activities classified correctly according to intensity level (eg, 78%-91% by phone) that were similar to the ActiGraph's percent correctly classified (ie, 91%). Study 2 included 23 participants (age: mean 57.0, SD 6.4 years; women: 74%, 17/23). Within the free-living context, results suggested a moderate correlation (ie, ρ=.59, P<.001) between the raw ActiGraph counts/minute and the phone's raw counts/minute and a strong correlation on minutes of moderate-to-vigorous physical activity (MVPA; ie, ρ=.67, P<.001). Results from Bland-Altman plots suggested close mean absolute estimates of sedentary (mean difference=-26 min/day of sedentary behavior) and MVPA (mean difference=-1.3 min/day of MVPA) although there was large variation. Overall, results suggest

A New Tool to Facilitate Learning Reading for Early Childhood

ERIC Educational Resources Information Center

Puspitasari, Cita; Subiyanto

2017-01-01

This paper proposes a new android application for early childhood learning reading. The description includes a design, development, and an evaluation experiment of an educational game for learning reading on android. Before developing the game, Unified Modeling Language (UML) diagrams, interfaces, animation, narrative or audio were designed.…

Design and Implementation of Mobile Learning System for Soldiers’ Vocational Skill Identification Based on Android

NASA Astrophysics Data System (ADS)

Ma, Jinqiang

2017-09-01

To carry out the identification of the professional skills of the soldiers is to further promote the regularization of the needs of the fire brigade, in accordance with the “public security active forces soldiers professional skills identification implementation approach” to meet the needs of candidates for mobile learning to solve the paper learning materials bring a lot of inconvenience; This article uses the Android technology to develop a set of soldiers professional skills Identification Theory learning app, the learning software based on mobile learning, learning function is perfect, you can learn to practice, to achieve the goal of learning at any time, to enhance the soldier's post ability has a good practical value.

Development of Android apps for cognitive assessment of dementia and delirium.

PubMed

Weir, Alexander J; Paterson, Craig A; Tieges, Zoe; MacLullich, Alasdair M; Parra-Rodriguez, Mario; Della Sala, Sergio; Logie, Robert H

2014-01-01

The next generation of medical technology applications for hand-held portable platforms will provide a core change in performance and sophistication, transforming the way health care professionals interact with patients. This advance is particularly apparent in the delivery of cognitive patient assessments, where smartphones and tablet computers are being used to assess complex neurological conditions to provide objective, accurate and reproducible test results. This paper reports on two such applications (apps) that have been developed to assist healthcare professionals with the detection and diagnosis of dementia and delirium.

Reliability and validity of a smartphone pulse rate application for the assessment of resting and elevated pulse rate.

PubMed

Mitchell, Katy; Graff, Megan; Hedt, Corbin; Simmons, James

2016-08-01

Purpose/hypothesis: This study was designed to investigate the test-retest reliability, concurrent validity, and the standard error of measurement (SEm) of a pulse rate assessment application (Azumio®'s Instant Heart Rate) on both Android® and iOS® (iphone operating system) smartphones as compared to a FT7 Polar® Heart Rate monitor. Number of subjects: 111. Resting (sitting) pulse rate was assessed twice and then the participants were asked to complete a 1-min standing step test and then immediately re-assessed. The smartphone assessors were blinded to their measurements. Test-retest reliability (intraclass correlation coefficient [ICC 2,1] and 95% confidence interval) for the three tools at rest (time 1/time 2): iOS® (0.76 [0.67-0.83]); Polar® (0.84 [0.78-0.89]); and Android® (0.82 [0.75-0.88]). Concurrent validity at rest time 2 (ICC 2,1) with the Polar® device: IOS® (0.92 [0.88-0.94]) and Android® (0.95 [0.92-0.96]). Concurrent validity post-exercise (time 3) (ICC) with the Polar® device: iOS® (0.90 [0.86-0.93]) and Android® (0.94 [0.91-0.96]). The SEm values for the three devices at rest: iOS® (5.77 beats per minute [BPM]), Polar® (4.56 BPM) and Android® (4.96 BPM). The Android®, iOS®, and Polar® devices showed acceptable test-retest reliability at rest and post-exercise. Both the smartphone platforms demonstrated concurrent validity with the Polar® at rest and post-exercise. The Azumio® Instant Heart Rate application when used by either platform appears to be a reliable and valid tool to assess pulse rate in healthy individuals.

Free blood donation mobile applications.

PubMed

Ouhbi, Sofia; Fernández-Alemán, José Luis; Toval, Ambrosio; Idri, Ali; Pozo, José Rivera

2015-05-01

Blood donation (BD) is a noble act and mobile applications (apps) can help increase awareness about it. This paper analyzes and assesses the characteristics of free apps for BD as regards features and functionality. A search in Google Play, Apple Apps store, Blackberry App World and Windows Mobile App store was carried out to select 169 free BD apps from the 188 apps identified. The results presented in this paper show that the majority of the apps selected have been developed for the Android operating system. Moreover, most of the apps selected are available to help users search for donors. Few of the apps could not be installed and/or accessed. Of those that could be installed: half of them do not require any kind of authentication; a few of them are available in more than one language; half of them have a geographical restriction; around 60 % of them do not notify the user of BD events and requests; one, which is available for Android and iOS, can connect with a laboratory; around 45 % of them allow users to share information via social networks, and the majority of them do not provide BD recommendations. These results are used as a basis to provide app developers with certain recommendations. There is a need for better BD apps with more features in order to increase the number of volunteer donors.

Context-Based Mobile Security Enclave

DTIC Science & Technology

2012-09-01

29  c.  Change IMSI .............................30  d.  Change CellID ...........................31  e.  Change Geolocation ...Assisted Global Positioning System ADB Android Debugger API Application Programming Interface APK Android Application Package BSC Base Station...Programming Interfaces ( APIs ), which use Java compatible libraries based on Apache Harmony (an open source Java implementation developed by the Apache

Mobile Learning: Using Application "Auralbook" to Learn Aural Skills

ERIC Educational Resources Information Center

Chen, Chi Wai Jason

2015-01-01

This study is to investigate the effectiveness of using mobile devices such as iPhone/iPad/android phone/tablet to facilitate mobile learning in aural skills. The application "Auralbook" was designed in 2011 by an engineer/musician to use mobile devices to learn aural skills. This application enables students to sing, record, clap and…

Preclinical tests of an android based dietary logging application.

PubMed

Kósa, István; Vassányi, István; Pintér, Balázs; Nemes, Márta; Kámánné, Krisztina; Kohut, László

2014-01-01

The paper describes the first, preclinical evaluation of a dietary logging application developed at the University of Pannonia, Hungary. The mobile user interface is briefly introduced. The three evaluation phases examined the completeness and contents of the dietary database and the time expenditure of the mobile based diet logging procedure. The results show that although there are substantial individual differences between various dietary databases, the expectable difference with respect to nutrient contents is below 10% on typical institutional menu list. Another important finding is that the time needed to record the meals can be reduced to about 3 minutes daily especially if the user uses set-based search. a well designed user interface on a mobile device is a viable and reliable way for a personalized lifestyle support service.

Mosquito (Diptera: Culicidae) Habitat Surveillance by Android Mobile Devices in Guangzhou, China.

PubMed

Wu, Tai-Ping; Tian, Jun-Hua; Xue, Rui-De; Fang, Yi-Liang; Zheng, Ai-Hua

2016-12-17

In 2014, Guangzhou City, South China, suffered from its worst outbreak of dengue fever in decades. Larval mosquito habitat surveillance was carried out by using android mobile devices in four study sites in May 2015. The habitats with larval mosquitoes were recorded as photo waypoints in OruxMaps or in videos. The total number of potential mosquito habitats was 342, of which 166 (49%) were found to have mosquito larvae or pupae. Small containers were the most abundant potential habitats, accounting for 26% of the total number. More mosquito larvae and pupae, were found in small containers than in other objects holding water, for example, potted or hydroponic plants ( p < 0.05). Mosquito larvae were collected from all plastic road barriers, used tires, and underground water. Aedes albopictus larvae were found from small and large containers, stumps, among others. The overall route index (RI) was 11.3, which was 14.2 times higher than the grade C criteria of the National Patriotic Health Campaign Committee (NPHCC), China. The higher RIs were found from the bird and flower markets, schools, and underground parking lots. The results indicated that Android mobile devices are a convenient and useful tool for surveillance of mosquito habitats, and the enhancement of source reduction may benefit the prevention and control of dengue vector mosquitoes.

Mosquito (Diptera: Culicidae) Habitat Surveillance by Android Mobile Devices in Guangzhou, China

PubMed Central

Wu, Tai-Ping; Tian, Jun-Hua; Xue, Rui-De; Fang, Yi-Liang; Zheng, Ai-Hua

2016-01-01

In 2014, Guangzhou City, South China, suffered from its worst outbreak of dengue fever in decades. Larval mosquito habitat surveillance was carried out by using android mobile devices in four study sites in May 2015. The habitats with larval mosquitoes were recorded as photo waypoints in OruxMaps or in videos. The total number of potential mosquito habitats was 342, of which 166 (49%) were found to have mosquito larvae or pupae. Small containers were the most abundant potential habitats, accounting for 26% of the total number. More mosquito larvae and pupae, were found in small containers than in other objects holding water, for example, potted or hydroponic plants (p < 0.05). Mosquito larvae were collected from all plastic road barriers, used tires, and underground water. Aedes albopictus larvae were found from small and large containers, stumps, among others. The overall route index (RI) was 11.3, which was 14.2 times higher than the grade C criteria of the National Patriotic Health Campaign Committee (NPHCC), China. The higher RIs were found from the bird and flower markets, schools, and underground parking lots. The results indicated that Android mobile devices are a convenient and useful tool for surveillance of mosquito habitats, and the enhancement of source reduction may benefit the prevention and control of dengue vector mosquitoes. PMID:27999305

Tree Height Calculator: An Android App for Estimating Tree Height

NASA Astrophysics Data System (ADS)

Burca, V. S.; Htet, N. M.; Huang, X.; de Lanerolle, T. R.; Morelli, R.; Gourley, J. R.

2011-12-01

Conventionally, measuring tree height requires a collection of different tools - clinometer, transit, pencil, paper, laptop computer. Results are recorded manually and entered into a spreadsheet or database for future calculation and analysis. Tree Height Calculator is a mobile Android app the integrates the various steps in this process thereby improving the accuracy and dramatically reducing the time required to go from taking measurements to analyzing data. Given the user's height and the distance from the base of the tree (which can be downloaded into the app from a server), the app uses the phone's orientation sensor to calculate the angle of elevation. A simple trigonometric formula is then used to calculate and record the tree's height in the phone's database. When the phone has a WiFi connection, the data are transmitted to a server, from where they can be downloaded directly into a spreadsheet. The application was first tested in an Environmental Science laboratory at Trinity College. On the first trial, 103 data samples were collected, stored, and uploaded to the online database with only couple of dropped data points. On the second trial, 98 data samples were gathered with no loss of data. The app combined the individual measurements taken by the students in the lab, reducing the time required to produce a graph of the class's results from days to hours.

Implementation of Wi-Fi Signal Sampling on an Android Smartphone for Indoor Positioning Systems.

PubMed

Liu, Hung-Huan; Liu, Chun

2017-12-21

Collecting and maintaining radio fingerprint for wireless indoor positioning systems involves considerable time and labor. We have proposed the quick radio fingerprint collection (QRFC) algorithm which employed the built-in accelerometer of Android smartphones to implement step detection in order to assist in collecting radio fingerprints. In the present study, we divided the algorithm into moving sampling (MS) and stepped MS (SMS), and describe the implementation of both algorithms and their comparison. Technical details and common errors concerning the use of Android smartphones to collect Wi-Fi radio beacons were surveyed and discussed. The results of signal sampling experiments performed in a hallway measuring 54 m in length showed that in terms of the amount of time required to complete collection of access point (AP) signals, static sampling (SS; a traditional procedure for collecting Wi-Fi signals) took at least 2 h, whereas MS and SMS took approximately 150 and 300 s, respectively. Notably, AP signals obtained through MS and SMS were comparable to those obtained through SS in terms of the distribution of received signal strength indicator (RSSI) and positioning accuracy. Therefore, MS and SMS are recommended instead of SS as signal sampling procedures for indoor positioning algorithms.

Location-based social networking media for restaurant promotion and food review using mobile application

NASA Astrophysics Data System (ADS)

Luhur, H. S.; Widjaja, N. D.

2014-03-01

This paper is focusing on the development of a mobile application for searching restaurants and promotions with location based and social networking features. The main function of the application is to search restaurant information. Other functions are also available in this application such as add restaurant, add promotion, add photo, add food review, and other features including social networking features. The restaurant and promotion searching application will be developed under Android platform. Upon completion of this paper, heuristic evaluation and usability testing have been conducted. The result of both testing shows that the application is highly usable. Even though there are some usability problems discovered, the problems can be eliminated immediately by implementing the recommendations from the expert evaluators and the users as the testers of the application. Further improvement made to the application will ensure that the application can really be beneficial for the users of the application.

Development of a mobile application of Breast Cancer e-Support program for women with breast cancer undergoing chemotherapy.

PubMed

Zhu, Jiemin; Ebert, Lyn; Xue, Zhimin; Shen, Qu; Chan, Sally Wai-Chi

2017-01-01

Women with breast cancer undergoing chemotherapy experience a variety of physical and psychosocial symptoms, which have negative effect on women's quality of life and psychological well-being. Although M-health technologies provides innovative and easily accessible option to provide psychosocial support, mobile phone based interventions remain limited for these women in China. To develop a new mobile application to offer information as well as social and emotional support to women with breast cancer undergoing chemotherapy to promote their self-efficacy and social support, thus improving symptom management strategies. Basing on previous theoretical framework which incorporated Bandura's self-efficacy theory and the social exchange theory, a new mobile application, called Breast Cancer e-Support Program (BCS) was designed, with the content and functionality being validated by the expert panel and women with breast cancer. BCS App program has four modules: 1) Learning forum; 2) Discussion forum; 3) Ask-the-Expert forum; and 4) Personal Stories forum. BCS program can be applied on both android mobile phones and iPhones to reach more women. This is the first of its kind developed in China for women with breast cancer undergoing chemotherapy. A randomized controlled trial is undertaking to test the effectiveness of BCS program.

Message Prioritization for Routing in a DTN Environment

DTIC Science & Technology

2011-03-01

goal was to effectively connect a remote village with a connected area, in this case a city, by using android phones given to people who regularly... Android phone or iPhone would involve developing or recoding the entire system in a language that is compatible with the phones. While certainly a...due to the fact it currently runs on an Android platform as an application. This showed promise initially; however, we discovered that the actual

OGUMI-A new mobile application to conduct common-pool resource experiments in continuous time.

PubMed

Brandt, Gunnar; Kulesz, Micaela M; Nissen, Dennis; Merico, Agostino

2017-01-01

OGUMI is an Android-based open source mobile application for conducting Common-Pool Resource Experiments, Choice Experiments, and Questionnaires in the field, in the laboratory, and online. A main feature of OGUMI is its capacity to capture real-time changes in human behaviour in response to a dynamically varying resource. OGUMI is simple (for example, likewise other existing software, it does not require expertise in behavioural game theory), stable, and extremely flexible with respect to the user-resource model running in the background. Here we present the motivation for the development of OGUMI and we discuss its main features with an example application.

Implementation of Wi-Fi Signal Sampling on an Android Smartphone for Indoor Positioning Systems

PubMed Central

Liu, Chun

2017-01-01

Collecting and maintaining radio fingerprint for wireless indoor positioning systems involves considerable time and labor. We have proposed the quick radio fingerprint collection (QRFC) algorithm which employed the built-in accelerometer of Android smartphones to implement step detection in order to assist in collecting radio fingerprints. In the present study, we divided the algorithm into moving sampling (MS) and stepped MS (SMS), and describe the implementation of both algorithms and their comparison. Technical details and common errors concerning the use of Android smartphones to collect Wi-Fi radio beacons were surveyed and discussed. The results of signal sampling experiments performed in a hallway measuring 54 m in length showed that in terms of the amount of time required to complete collection of access point (AP) signals, static sampling (SS; a traditional procedure for collecting Wi-Fi signals) took at least 2 h, whereas MS and SMS took approximately 150 and 300 s, respectively. Notably, AP signals obtained through MS and SMS were comparable to those obtained through SS in terms of the distribution of received signal strength indicator (RSSI) and positioning accuracy. Therefore, MS and SMS are recommended instead of SS as signal sampling procedures for indoor positioning algorithms. PMID:29267234

Measuring the power consumption of social media applications on a mobile device

NASA Astrophysics Data System (ADS)

Dunia, A. I. M.; Suherman; Rambe, A. H.; Fauzi, R.

2018-03-01

As fully connected social media applications become popular and require all time connection, the power consumption on mobile device battery increases significantly. As power supplied by a battery is limited, social media application should be designed to be less power consuming. This paper reports the power consumption measurement of social media running on a mobile device. Experimental circuit was developed by using a microcontroller measuring an android smartphone on a 802.11 controlled network. The experiment results show that whatsapp consumes the power less than others in stand by and chat. While other states are dominated by line. The blackberry consumes the power the worst.

Mobile Clinical Decision Support System for Acid-base Balance Diagnosis and Treatment Recommendation.

PubMed

Mandzuka, Mensur; Begic, Edin; Boskovic, Dusanka; Begic, Zijo; Masic, Izet

2017-06-01

This paper presents mobile application implementing a decision support system for acid-base disorder diagnosis and treatment recommendation. The application was developed using the official integrated development environment for the Android platform (to maximize availability and minimize investments in specialized hardware) called Android Studio. The application identifies disorder, based on the blood gas analysis, evaluates whether the disorder has been compensated, and based on additional input related to electrolyte imbalance, provides recommendations for treatment. The application is a tool in the hands of the user, which provides assistance during acid-base disorders treatment. The application will assist the physician in clinical practice and is focused on the treatment in intensive care.

Solving of Clock Problems Using An Algebraic Approach And Developing An Application For Automatic Conversion

NASA Astrophysics Data System (ADS)

Lakshmi Devaraj, Shanmuga

2018-04-01

The recent trend in learning Mathematics is through android apps like Byju’s. The clock problems asked in aptitude tests could be learnt using such computer applications. The Clock problems are of four categories namely: 1. What is the angle between the hands of a clock at a particular time 2. When the hands of a clock will meet after a particular time 3. When the hands of a clock will be at right angle after a particular time 4. When the hands of a clock will be in a straight line but not together after a particular time The aim of this article is to convert the clock problems which were solved using the traditional approach to algebraic equations and solve them. Shortcuts are arrived which help in solving the questions in just a few seconds. Any aptitude problem could be converted to an algebraic equation by tracing the way the problem proceeds by applying our analytical skills. Solving of equations would be the easiest part in coming up with the solution. Also a computer application could be developed by using the equations that were arrived at in the analysis part. The computer application aims at solving the four different problems in Clocks. The application helps the learners of aptitude for CAT and other competitive exams to know the approach of the problem. Learning Mathematics with a gaming tool like this would be interesting to the learners. This paper provides a path to creating gaming apps to learn Mathematics.

3D shape measurement system developed on mobile platform

NASA Astrophysics Data System (ADS)

Wu, Zhoujie; Chang, Meng; Shi, Bowen; Zhang, Qican

2017-02-01

Three-dimensional (3-D) shape measurement technology based on structured light has become one hot research field inspired by the increasing requirements. Many methods have been implemented and applied in the industry applications, but most of their equipments are large and complex, cannot be portable. Meanwhile, the popularity of the smart mobile terminals, such as smart phones, provides a platform for the miniaturization and portability of this technology. The measurement system based on phase-shift algorithm and Gray-code pattern under the Android platform on a mobile phone is mainly studied and developed, and it has been encapsulated into a mobile phone application in order to reconstruct 3-D shape data in the employed smart phone easily and quickly. The experimental results of two measured object are given in this paper and demonstrate the application we developed in the mobile platform is effective.

An Android based location service using GSMCellID and GPS to obtain a graphical guide to the nearest cash machine

NASA Astrophysics Data System (ADS)

Jacobsen, Jurma; Edlich, Stefan

2009-02-01

There is a broad range of potential useful mobile location-based applications. One crucial point seems to be to make them available to the public at large. This case illuminates the abilities of Android - the operating system for mobile devices - to fulfill this demand in the mashup way by use of some special geocoding web services and one integrated web service for getting the nearest cash machines data. It shows an exemplary approach for building mobile location-based mashups for everyone: 1. As a basis for reaching as many people as possible the open source Android OS is assumed to spread widely. 2. Everyone also means that the handset has not to be an expensive GPS device. This is realized by re-utilization of the existing GSM infrastructure with the Cell of Origin (COO) method which makes a lookup of the CellID in one of the growing web available CellID databases. Some of these databases are still undocumented and not yet published. Furthermore the Google Maps API for Mobile (GMM) and the open source counterpart OpenCellID are used. The user's current position localization via lookup of the closest cell to which the handset is currently connected to (COO) is not as precise as GPS, but appears to be sufficient for lots of applications. For this reason the GPS user is the most pleased one - for this user the system is fully automated. In contrary there could be some users who doesn't own a GPS cellular. This user should refine his/her location by one click on the map inside of the determined circular region. The users are then shown and guided by a path to the nearest cash machine by integrating Google Maps API with an overlay. Additionally, the GPS user can keep track of him- or herself by getting a frequently updated view via constantly requested precise GPS data for his or her position.

Teaching Android Application Development in a Collaborative Online Environment

ERIC Educational Resources Information Center

Duggan, Louise

2012-01-01

Online education has gained significant popularity in recent years, and this trend is set to continue. One of the reasons for the explosion of online education is the fact that Colleges and Universities need to seek out new delivery methods and to reach out to people who cannot attend College or University. Funding and diversity of courses is also…

Breaking and Fixing Origin-Based Access Control in Hybrid Web/Mobile Application Frameworks.

PubMed

Georgiev, Martin; Jana, Suman; Shmatikov, Vitaly

2014-02-01

Hybrid mobile applications (apps) combine the features of Web applications and "native" mobile apps. Like Web applications, they are implemented in portable, platform-independent languages such as HTML and JavaScript. Like native apps, they have direct access to local device resources-file system, location, camera, contacts, etc. Hybrid apps are typically developed using hybrid application frameworks such as PhoneGap. The purpose of the framework is twofold. First, it provides an embedded Web browser (for example, WebView on Android) that executes the app's Web code. Second, it supplies "bridges" that allow Web code to escape the browser and access local resources on the device. We analyze the software stack created by hybrid frameworks and demonstrate that it does not properly compose the access-control policies governing Web code and local code, respectively. Web code is governed by the same origin policy, whereas local code is governed by the access-control policy of the operating system (for example, user-granted permissions in Android). The bridges added by the framework to the browser have the same local access rights as the entire application, but are not correctly protected by the same origin policy. This opens the door to fracking attacks, which allow foreign-origin Web content included into a hybrid app (e.g., ads confined in iframes) to drill through the layers and directly access device resources. Fracking vulnerabilities are generic: they affect all hybrid frameworks, all embedded Web browsers, all bridge mechanisms, and all platforms on which these frameworks are deployed. We study the prevalence of fracking vulnerabilities in free Android apps based on the PhoneGap framework. Each vulnerability exposes sensitive local resources-the ability to read and write contacts list, local files, etc.-to dozens of potentially malicious Web domains. We also analyze the defenses deployed by hybrid frameworks to prevent resource access by foreign-origin Web content

Breaking and Fixing Origin-Based Access Control in Hybrid Web/Mobile Application Frameworks

PubMed Central

Georgiev, Martin; Jana, Suman; Shmatikov, Vitaly

2014-01-01

Hybrid mobile applications (apps) combine the features of Web applications and “native” mobile apps. Like Web applications, they are implemented in portable, platform-independent languages such as HTML and JavaScript. Like native apps, they have direct access to local device resources—file system, location, camera, contacts, etc. Hybrid apps are typically developed using hybrid application frameworks such as PhoneGap. The purpose of the framework is twofold. First, it provides an embedded Web browser (for example, WebView on Android) that executes the app's Web code. Second, it supplies “bridges” that allow Web code to escape the browser and access local resources on the device. We analyze the software stack created by hybrid frameworks and demonstrate that it does not properly compose the access-control policies governing Web code and local code, respectively. Web code is governed by the same origin policy, whereas local code is governed by the access-control policy of the operating system (for example, user-granted permissions in Android). The bridges added by the framework to the browser have the same local access rights as the entire application, but are not correctly protected by the same origin policy. This opens the door to fracking attacks, which allow foreign-origin Web content included into a hybrid app (e.g., ads confined in iframes) to drill through the layers and directly access device resources. Fracking vulnerabilities are generic: they affect all hybrid frameworks, all embedded Web browsers, all bridge mechanisms, and all platforms on which these frameworks are deployed. We study the prevalence of fracking vulnerabilities in free Android apps based on the PhoneGap framework. Each vulnerability exposes sensitive local resources—the ability to read and write contacts list, local files, etc.—to dozens of potentially malicious Web domains. We also analyze the defenses deployed by hybrid frameworks to prevent resource access by foreign

Development of Mathematical Skills Developing Game Software.

PubMed

Hajdics, Gyula; Guzsvinecz, Tibor; Szucs, Veronika; Sik Lanyi, Cecilia

2017-01-01

Using basic mathematical operations is not easy for everyone. The AndMaths game for Android devices was developed to help elementary school students to learn these basic mathematical skills in the number ranges of twenties, fifties, hundreds and thousands. The user can freely select the number ranges.

Determinants of quality, latency, and amount of Stack Overflow answers about recent Android APIs

PubMed Central

Filkov, Vladimir

2018-01-01

Stack Overflow is a popular crowdsourced question and answer website for programming-related issues. It is an invaluable resource for software developers; on average, questions posted there get answered in minutes to an hour. Questions about well established topics, e.g., the coercion operator in C++, or the difference between canonical and class names in Java, get asked often in one form or another, and answered very quickly. On the other hand, questions on previously unseen or niche topics take a while to get a good answer. This is particularly the case with questions about current updates to or the introduction of new application programming interfaces (APIs). In a hyper-competitive online market, getting good answers to current programming questions sooner could increase the chances of an app getting released and used. So, can developers anyhow, e.g., hasten the speed to good answers to questions about new APIs? Here, we empirically study Stack Overflow questions pertaining to new Android APIs and their associated answers. We contrast the interest in these questions, their answer quality, and timeliness of their answers to questions about old APIs. We find that Stack Overflow answerers in general prioritize with respect to currentness: questions about new APIs do get more answers, but good quality answers take longer. We also find that incentives in terms of question bounties, if used appropriately, can significantly shorten the time and increase answer quality. Interestingly, no operationalization of bounty amount shows significance in our models. In practice, our findings confirm the value of bounties in enhancing expert participation. In addition, they show that the Stack Overflow style of crowdsourcing, for all its glory in providing answers about established programming knowledge, is less effective with new API questions. PMID:29547620

Determinants of quality, latency, and amount of Stack Overflow answers about recent Android APIs.

PubMed

Kavaler, David; Filkov, Vladimir

2018-01-01

Stack Overflow is a popular crowdsourced question and answer website for programming-related issues. It is an invaluable resource for software developers; on average, questions posted there get answered in minutes to an hour. Questions about well established topics, e.g., the coercion operator in C++, or the difference between canonical and class names in Java, get asked often in one form or another, and answered very quickly. On the other hand, questions on previously unseen or niche topics take a while to get a good answer. This is particularly the case with questions about current updates to or the introduction of new application programming interfaces (APIs). In a hyper-competitive online market, getting good answers to current programming questions sooner could increase the chances of an app getting released and used. So, can developers anyhow, e.g., hasten the speed to good answers to questions about new APIs? Here, we empirically study Stack Overflow questions pertaining to new Android APIs and their associated answers. We contrast the interest in these questions, their answer quality, and timeliness of their answers to questions about old APIs. We find that Stack Overflow answerers in general prioritize with respect to currentness: questions about new APIs do get more answers, but good quality answers take longer. We also find that incentives in terms of question bounties, if used appropriately, can significantly shorten the time and increase answer quality. Interestingly, no operationalization of bounty amount shows significance in our models. In practice, our findings confirm the value of bounties in enhancing expert participation. In addition, they show that the Stack Overflow style of crowdsourcing, for all its glory in providing answers about established programming knowledge, is less effective with new API questions.

Application Analysis and Decision with Dynamic Analysis

DTIC Science & Technology

2014-12-01

pushes the application file and the JSON file containing the metadata from the database . When the 2 files are in place, the consumer thread starts...human analysts and stores it in a database . It would then use some of these data to generate a risk score for the application. However, static analysis...and store them in the primary A2D database for future analysis. 15. SUBJECT TERMS Android, dynamic analysis 16. SECURITY CLASSIFICATION OF: 17

Survalytics: An Open-Source Cloud-Integrated Experience Sampling, Survey, and Analytics and Metadata Collection Module for Android Operating System Apps

PubMed Central

Mackey, Sean

2016-01-01

Background We describe here Survalytics, a software module designed to address two broad areas of need. The first area is in the domain of surveys and app analytics: developers of mobile apps in both academic and commercial environments require information about their users, as well as how the apps are being used, to understand who their users are and how to optimally approach app development. The second area of need is in the field of ecological momentary assessment, also referred to as experience sampling: researchers in a wide variety of fields, spanning from the social sciences to psychology to clinical medicine, would like to be able to capture daily or even more frequent data from research subjects while in their natural environment. Objective Survalytics is an open-source solution for the collection of survey responses as well as arbitrary analytic metadata from users of Android operating system apps. Methods Surveys may be administered in any combination of one-time questions and ongoing questions. The module may be deployed as a stand-alone app for experience sampling purposes or as an add-on to existing apps. The module takes advantage of free-tier NoSQL cloud database management offered by the Amazon Web Services DynamoDB platform to package a secure, flexible, extensible data collection module. DynamoDB is capable of Health Insurance Portability and Accountability Act compliant storage of personal health information. Results The provided example app may be used without modification for a basic experience sampling project, and we provide example questions for daily collection of blood glucose data from study subjects. Conclusions The module will help researchers in a wide variety of fields rapidly develop tailor-made Android apps for a variety of data collection purposes. PMID:27261155

Survalytics: An Open-Source Cloud-Integrated Experience Sampling, Survey, and Analytics and Metadata Collection Module for Android Operating System Apps.

PubMed

O'Reilly-Shah, Vikas; Mackey, Sean

2016-06-03

We describe here Survalytics, a software module designed to address two broad areas of need. The first area is in the domain of surveys and app analytics: developers of mobile apps in both academic and commercial environments require information about their users, as well as how the apps are being used, to understand who their users are and how to optimally approach app development. The second area of need is in the field of ecological momentary assessment, also referred to as experience sampling: researchers in a wide variety of fields, spanning from the social sciences to psychology to clinical medicine, would like to be able to capture daily or even more frequent data from research subjects while in their natural environment. Survalytics is an open-source solution for the collection of survey responses as well as arbitrary analytic metadata from users of Android operating system apps. Surveys may be administered in any combination of one-time questions and ongoing questions. The module may be deployed as a stand-alone app for experience sampling purposes or as an add-on to existing apps. The module takes advantage of free-tier NoSQL cloud database management offered by the Amazon Web Services DynamoDB platform to package a secure, flexible, extensible data collection module. DynamoDB is capable of Health Insurance Portability and Accountability Act compliant storage of personal health information. The provided example app may be used without modification for a basic experience sampling project, and we provide example questions for daily collection of blood glucose data from study subjects. The module will help researchers in a wide variety of fields rapidly develop tailor-made Android apps for a variety of data collection purposes.

NASA uses Eclipse RCP Applications for Experiments on the International Space Station

NASA Technical Reports Server (NTRS)

Cohen, Tamar

2013-01-01

Eclipse is going to space for the first time in 2013! The International Space Station (ISS) is used as a site for experiments any software developed as part of these experiments has to comply with extensive and strict user interface guidelines. NASA Ames Research Center's Intelligent Robotics Group is doing 2 sets of experiments, both with astronauts using Eclipse RCP applications to remotely control robots. One experiment will control SPHERES with an Android Smartphone on the ISS the other experiment will control a K10 rover on Earth.

OGUMI—A new mobile application to conduct common-pool resource experiments in continuous time

PubMed Central

Nissen, Dennis

2017-01-01

OGUMI is an Android-based open source mobile application for conducting Common-Pool Resource Experiments, Choice Experiments, and Questionnaires in the field, in the laboratory, and online. A main feature of OGUMI is its capacity to capture real-time changes in human behaviour in response to a dynamically varying resource. OGUMI is simple (for example, likewise other existing software, it does not require expertise in behavioural game theory), stable, and extremely flexible with respect to the user-resource model running in the background. Here we present the motivation for the development of OGUMI and we discuss its main features with an example application. PMID:28582457

Mobile Clinical Decision Support System for Acid-base Balance Diagnosis and Treatment Recommendation

PubMed Central

Mandzuka, Mensur; Begic, Edin; Boskovic, Dusanka; Begic, Zijo; Masic, Izet

2017-01-01

Introduction: This paper presents mobile application implementing a decision support system for acid-base disorder diagnosis and treatment recommendation. Material and methods: The application was developed using the official integrated development environment for the Android platform (to maximize availability and minimize investments in specialized hardware) called Android Studio. Results: The application identifies disorder, based on the blood gas analysis, evaluates whether the disorder has been compensated, and based on additional input related to electrolyte imbalance, provides recommendations for treatment. Conclusion: The application is a tool in the hands of the user, which provides assistance during acid-base disorders treatment. The application will assist the physician in clinical practice and is focused on the treatment in intensive care. PMID:28883678

Usability evaluation of mobile applications using ISO 9241 and ISO 25062 standards.

PubMed

Moumane, Karima; Idri, Ali; Abran, Alain

2016-01-01

This paper presents an empirical study based on a set of measures to evaluate the usability of mobile applications running on different mobile operating systems, including Android, iOS and Symbian. The aim is to evaluate empirically a framework that we have developed on the use of the Software Quality Standard ISO 9126 in mobile environments, especially the usability characteristic. To do that, 32 users had participated in the experiment and we have used ISO 25062 and ISO 9241 standards for objective measures by working with two widely used mobile applications: Google Apps and Google Maps. The QUIS 7.0 questionnaire have been used to collect measures assessing the users' level of satisfaction when using these two mobile applications. By analyzing the results we highlighted a set of mobile usability issues that are related to the hardware as well as to the software and that need to be taken into account by designers and developers in order to improve the usability of mobile applications.

Privacy as Part of the App Decision-Making Process

DTIC Science & Technology

2013-02-06

concerns they may not actively consider privacy while downloading apps from smartphone application marketplaces. Currently Android users have only the... Android permissions display which appears after they have selected an app to download to help them understand how applications access their information...marketplaces. Currently, Android users have only the Android permissions display, which appears after they have selected an app to download, to help

Android subcutaneous adipose tissue topography in lean and obese women suffering from PCOS: comparison with type 2 diabetic women.

PubMed

Horejsi, R; Möller, R; Rackl, S; Giuliani, A; Freytag, U; Crailsheim, K; Sudi, K; Tafeit, E

2004-07-01

The new optical device, the lipometer, enables the noninvasive, quick, safe, and precise determination of the thickness of subcutaneous adipose tissue (SAT) layers at any given site of the human body. Fifteen anatomically well-defined body sites from neck to calf describe a SAT topography (SAT-Top) like an individual "fingerprint" of a subject. This SAT-Top was examined in 16 women with polycystic ovary syndrome (PCOS) and compared to the body fat distribution of 87 age-matched healthy controls and 20 type-2 diabetic women. SAT-Top differences of these three groups were described and, to render the possibility of visual comparison, the 15-dimensional body fat information was condensed to a two-dimensional factor plot by factor analysis. All PCOS patients had an android body fat distribution with significantly thinner SAT layers on the legs as compared to healthy controls. Moreover, a hierarchical cluster analysis resulted in two distinctly different groups of PCOS women, a lean (PCOSL) and an obese (PCOSO) cluster: compared to healthy women, lean PCOS patients had significantly lower total SAT development, even though height, weight, and body mass index did not deviate significantly. Especially on the legs, their SAT layers were significantly lowered, indicating a more "apple-like" fat distribution type. Obese PCOS women showed a SAT-Top pattern very similar to that of women with type-2 diabetes, although the mean age difference between these groups was more than 30 years. Compared to healthy controls, the SAT-Top of these obese PCOS patients was strongly shifted into the android direction, appearing as "super-apples" with a significantly increased upper trunk obesity to 237.8% and a significantly decreased leg SAT development to 79.8%. Copyright 2004 Wiley-Liss, Inc.

Open source hardware and software platform for robotics and artificial intelligence applications

NASA Astrophysics Data System (ADS)

Liang, S. Ng; Tan, K. O.; Lai Clement, T. H.; Ng, S. K.; Mohammed, A. H. Ali; Mailah, Musa; Azhar Yussof, Wan; Hamedon, Zamzuri; Yussof, Zulkifli

2016-02-01

Recent developments in open source hardware and software platforms (Android, Arduino, Linux, OpenCV etc.) have enabled rapid development of previously expensive and sophisticated system within a lower budget and flatter learning curves for developers. Using these platform, we designed and developed a Java-based 3D robotic simulation system, with graph database, which is integrated in online and offline modes with an Android-Arduino based rubbish picking remote control car. The combination of the open source hardware and software system created a flexible and expandable platform for further developments in the future, both in the software and hardware areas, in particular in combination with graph database for artificial intelligence, as well as more sophisticated hardware, such as legged or humanoid robots.

Sign Language Translator Application Using OpenCV

NASA Astrophysics Data System (ADS)

Triyono, L.; Pratisto, E. H.; Bawono, S. A. T.; Purnomo, F. A.; Yudhanto, Y.; Raharjo, B.

2018-03-01

This research focuses on the development of sign language translator application using OpenCV Android based, this application is based on the difference in color. The author also utilizes Support Machine Learning to predict the label. Results of the research showed that the coordinates of the fingertip search methods can be used to recognize a hand gesture to the conditions contained open arms while to figure gesture with the hand clenched using search methods Hu Moments value. Fingertip methods more resilient in gesture recognition with a higher success rate is 95% on the distance variation is 35 cm and 55 cm and variations of light intensity of approximately 90 lux and 100 lux and light green background plain condition compared with the Hu Moments method with the same parameters and the percentage of success of 40%. While the background of outdoor environment applications still can not be used with a success rate of only 6 managed and the rest failed.

Fun During Knee Rehabilitation: Feasibility and Acceptability Testing of a New Android-Based Training Device.

PubMed

Weber-Spickschen, Thomas Sanjay; Colcuc, Christian; Hanke, Alexander; Clausen, Jan-Dierk; James, Paul Abraham; Horstmann, Hauke

2017-01-01

The initial goals of rehabilitation after knee injuries and operations are to achieve full knee extension and to activate quadriceps muscle. In addition to regular physiotherapy, an android-based knee training device is designed to help patients achieve these goals and improve compliance in the early rehabilitation period. This knee training device combines fun in a computer game with muscular training or rehabilitation. Our aim was to test the feasibility and acceptability of this new device. 50 volunteered subjects enrolled to test out the computer game aided device. The first game was the high-striker game, which recorded maximum knee extension power. The second game involved controlling quadriceps muscular power to simulate flying an aeroplane in order to record accuracy of muscle activation. The subjects evaluated this game by completing a simple questionnaire. No technical problem was encountered during the usage of this device. No subjects complained of any discomfort after using this device. Measurements including maximum knee extension power, knee muscle activation and control were recorded successfully. Subjects rated their experience with the device as either excellent or very good and agreed that the device can motivate and monitor the progress of knee rehabilitation training. To the best of our knowledge, this is the first android-based tool available to fast track knee rehabilitation training. All subjects gave very positive feedback to this computer game aided knee device.

Development of a Multi-Behavioral mHealth App for Women Smokers.

PubMed

Armin, Julie; Johnson, Thienne; Hingle, Melanie; Giacobbi, Peter; Gordon, Judith S

2017-02-01

This article describes the development of the See Me Smoke-Free™ (SMSF) mobile health application, which uses guided imagery to support women in smoking cessation, eating a healthy diet, and increasing physical activity. Focus group discussions, with member checks, were conducted to refine the intervention content and app user interface. Data related to the context of app deployment were collected via user testing sessions and internal quality control testing, which identified and addressed functionality issues, content problems, and bugs. Interactive app features include playback of guided imagery audio files, notification pop-ups, award-sharing on social media, a tracking calendar, content resources, and direct call to the local tobacco quitline. Focus groups helped design the user interface and identified several themes for incorporation into app content, including positivity, the rewards of smoking cessation, and the integrated benefits of maintaining a healthy lifestyle. User testing improved app functionality and usability on many Android phone models. Changes to the app content and function were made iteratively by the development team as a result of focus group and user testing. Despite extensive internal and user testing, unanticipated data collection and reporting issues emerged during deployment due not only to the variety of Android software and hardware but also to individual phone settings and use.

Development and Technical Validation of the Mobile Based Assistive Listening System: A Smartphone-Based Remote Microphone.

PubMed

Lopez, Esteban Alejandro; Costa, Orozimbo Alves; Ferrari, Deborah Viviane

2016-10-01

The purpose of this research note is to describe the development and technical validation of the Mobile Based Assistive Listening System (MoBALS), a free-of-charge smartphone-based remote microphone application. MoBALS Version 1.0 was developed for Android (Version 2.1 or higher) and was coded with Java using Eclipse Indigo with the Android Software Development Kit. A Wi-Fi router with background traffic and 2 affordable smartphones were used for debugging and technical validation comprising, among other things, multicasting capability, data packet loss, and battery consumption. MoBALS requires at least 2 smartphones connected to the same Wi-Fi router for signal transmission and reception. Subscriber identity module cards or Internet connections are not needed. MoBALS can be used alone or connected to a hearing aid or cochlear implant via direct audio input. Maximum data packet loss was 99.28%, and minimum battery life was 5 hr. Other relevant design specifications and their implementation are described. MoBALS performed as a remote microphone with enhanced accessibility features and avoids overhead expenses by using already-available and affordable technology. The further development and technical revalidation of MoBALS will be followed by clinical evaluation with persons with hearing impairment.

Developing a Mobile Application "Educational Process Remote Management System" on the Android Operating System

ERIC Educational Resources Information Center

Abildinova, Gulmira M.; Alzhanov, Aitugan K.; Ospanova, Nazira N.; Taybaldieva, Zhymatay; Baigojanova, Dametken S.; Pashovkin, Nikita O.

2016-01-01

Nowadays, when there is a need to introduce various innovations into the educational process, most efforts are aimed at simplifying the learning process. To that end, electronic textbooks, testing systems and other software is being developed. Most of them are intended to run on personal computers with limited mobility. Smart education is…

Android Adiposity and Lack of Moderate and Vigorous Physical Activity Are Associated With Insulin Resistance and Diabetes in Aging Adults.

PubMed

Peterson, Mark D; Al Snih, Soham; Serra-Rexach, José A; Burant, Charles

2015-08-01

Physical inactivity and excess adiposity are thought to be interdependent "lifestyle" factors and thus, many older adults are at exaggerated risk for preventable diseases. The purposes of this study were to determine the degree of discordance between body mass index (BMI) and adiposity among adults older than 50 years, and to determine the extent to which direct measures of adiposity, and objectively measured sedentary behavior (SB) and physical activity (PA) are associated with insulin resistance (IR) or diabetes. A population representative sample of 2,816 individuals, aged 50-85 years, was included from the combined 2003-2006 National Health and Nutrition Examination Survey (NHANES) datasets. BMI, percent body fat (%BF) and android adiposity as determined by dual energy x-ray absorptiometry, objectively measured SB and PA, established markers of cardiometabolic risk, IR, and type 2 diabetes were analyzed. Approximately 50% of the men and 64% of the women who were normal weight according to BMI had excessive %BF. Adults with the least SB and greatest moderate and vigorous PA exhibited the healthiest cardiometabolic profiles, whereas adults with the greatest SB and lowest activity had highest risk. Greater android adiposity stores were robustly associated with IR or diabetes in all adults, independent of SB and activity. Among men, less moderate-to-vigorous PA was associated with IR or diabetes; whereas among women, less lifestyle moderate activity was associated with IR or diabetes. Android adiposity and low moderate and vigorous PA are the strongest predictors of IR or diabetes among aging adults. © The Author 2015. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android.

PubMed

Dehling, Tobias; Gao, Fangjian; Schneider, Stephan; Sunyaev, Ali

2015-01-19

Mobile health (mHealth) apps aim at providing seamless access to tailored health information technology and have the potential to alleviate global health burdens. Yet, they bear risks to information security and privacy because users need to reveal private, sensitive medical information to redeem certain benefits. Due to the plethora and diversity of available mHealth apps, implications for information security and privacy are unclear and complex. The objective of this study was to establish an overview of mHealth apps offered on iOS and Android with a special focus on potential damage to users through information security and privacy infringements. We assessed apps available in English and offered in the categories "Medical" and "Health & Fitness" in the iOS and Android App Stores. Based on the information retrievable from the app stores, we established an overview of available mHealth apps, tagged apps to make offered information machine-readable, and clustered the discovered apps to identify and group similar apps. Subsequently, information security and privacy implications were assessed based on health specificity of information available to apps, potential damage through information leaks, potential damage through information manipulation, potential damage through information loss, and potential value of information to third parties. We discovered 24,405 health-related apps (iOS; 21,953; Android; 2452). Absence or scarceness of ratings for 81.36% (17,860/21,953) of iOS and 76.14% (1867/2452) of Android apps indicates that less than a quarter of mHealth apps are in more or less widespread use. Clustering resulted in 245 distinct clusters, which were consolidated into 12 app archetypes grouping clusters with similar assessments of potential damage through information security and privacy infringements. There were 6426 apps that were excluded during clustering. The majority of apps (95.63%, 17,193/17,979; of apps) pose at least some potential damage through

Development of a Multi-Agent m-Health Application Based on Various Protocols for Chronic Disease Self-Management.

PubMed

Park, Hyun Sang; Cho, Hune; Kim, Hwa Sun

2016-01-01

The purpose of this study was to develop and evaluate a mobile health application (Self-Management mobile Personal Health Record: "SmPHR") to ensure the interoperability of various personal health devices (PHDs) and electronic medical record systems (EMRs) for continuous self-management of chronic disease patients. The SmPHR was developed for Android 4.0.3, and implemented according to the optimized standard protocol for each interface of healthcare services adopted by the Continua Health Alliance (CHA). That is, the Personal Area Network (PAN) interface between the application and PHD implements ISO/IEEE 11073-20,601, 10,404, 10,407, 10,415, 10,417, and Bluetooth Health Device Profile (HDP), and EMRs with a wide area network (WAN) interface implement HL7 V2.6; the Health Record Network (HRN) interface implements Continuity of Care Document (CCD) and Continuity of Care Record (CCR). Also, for SmPHR, we evaluated the transmission error rate between the interface using four PHDs and personal health record systems (PHRs) from previous research, with 611 users and elderly people after receiving institutional review board (IRB) approval. In the evaluation, the PAN interface showed 15 (2.4 %) errors, and the WAN and HRN interface showed 13 (2.1 %) errors in a total of 611 transmission attempts. Also, we received opinions regarding SmPHR from 15 healthcare professionals who took part in the clinical trial. Thus, SmPHR can be provided as an interconnected PHR mobile health service to patients, allowing 'plug and play' of PHDs and EMRs through various standard protocols.

A Template-Based Short Course Concept on Android Application Development

ERIC Educational Resources Information Center

Akopian, David; Melkonyan, Arsen; Golgani, Santosh C.; Yuen, Timothy T.; Saygin, Can

2013-01-01

Smartphones are a common accessory to provide rich user experience due to superior memory, advanced software-hardware support, fast processing, and multimedia capabilities. Responding to this trend, advanced engineering systems tend to integrate mobile devices with their solutions to facilitate usability. With many young students showing interest…

Gender difference in the impact of gynoid and android fat masses on the progression of hepatic steatosis in Japanese patients with type 2 diabetes.

PubMed

Bouchi, Ryotaro; Fukuda, Tatsuya; Takeuchi, Takato; Nakano, Yujiro; Murakami, Masanori; Minami, Isao; Izumiyama, Hajime; Hashimoto, Koshi; Yoshimoto, Takanobu; Ogawa, Yoshihiro

2017-01-01

Increased visceral adiposity is strongly associated with non-alcoholic fatty liver disease (NAFLD). However, little attention has been paid to the association between the change in subcutaneous adipose mass and the progression of non-alcoholic fatty liver disease (NAFLD). We aimed to investigate whether increased subcutaneous adipose tissue (gynoid fat mass) could be protective against the progression of NAFLD in Japanese patients with type 2 diabetes. This is a retrospective observational study of 294 Japanese patients with type 2 diabetes (65 ± 10 years old, 40% female). Liver attenuation index (LAI) measured by abdominal computed tomography was used for the assessment of hepatic steatosis. Both gynoid (kg) and android (kg) fat masses were measured by the whole body dual-energy X-ray absorptiometry. One-year changes in LAI, gynoid, and android fat masses were evaluated in both male and female patients. Linear regression analysis with a stepwise procedure was used for the statistical analyses to investigate the association of the changes in gynoid and android fat masses with the change in LAI. LAI levels at baseline were 1.15 ± 0.31 and 1.10 ± 0.34 in female and male patients ( p  = 0.455). The change in gynoid fat mass was significantly and positively associated with the change in LAI in both univariate (standardized β 0.331, p  = 0.049) and multivariate (standardized β 0.360, p  = 0.016) models in the female patients. However, no significant association was observed in males. In contrast, the increase in android fat mass was significantly associated with the reduced LAI in both genders in the multivariate models (standardized β -0.651, p  < 0.001 in females and standardized β -0.519, p  = 0.042 in males). This study provides evidence that increased gynoid fat mass may be protective against the progression of NAFLD in female Japanese patients with type 2 diabetes.

Fun During Knee Rehabilitation: Feasibility and Acceptability Testing of a New Android-Based Training Device

PubMed Central

Weber-Spickschen, Thomas Sanjay; Colcuc, Christian; Hanke, Alexander; Clausen, Jan-Dierk; James, Paul Abraham; Horstmann, Hauke

2017-01-01

Purpose: The initial goals of rehabilitation after knee injuries and operations are to achieve full knee extension and to activate quadriceps muscle. In addition to regular physiotherapy, an android-based knee training device is designed to help patients achieve these goals and improve compliance in the early rehabilitation period. This knee training device combines fun in a computer game with muscular training or rehabilitation. Our aim was to test the feasibility and acceptability of this new device. Methods: 50 volunteered subjects enrolled to test out the computer game aided device. The first game was the high-striker game, which recorded maximum knee extension power. The second game involved controlling quadriceps muscular power to simulate flying an aeroplane in order to record accuracy of muscle activation. The subjects evaluated this game by completing a simple questionnaire. Results: No technical problem was encountered during the usage of this device. No subjects complained of any discomfort after using this device. Measurements including maximum knee extension power, knee muscle activation and control were recorded successfully. Subjects rated their experience with the device as either excellent or very good and agreed that the device can motivate and monitor the progress of knee rehabilitation training. Conclusion: To the best of our knowledge, this is the first android-based tool available to fast track knee rehabilitation training. All subjects gave very positive feedback to this computer game aided knee device. PMID:29081870

Development of a metal detector for smartphones and its use in the teaching laboratory

NASA Astrophysics Data System (ADS)

Sobral, G. A.

2018-07-01

In this article, we describe how to develop an inductive metal detector that can be integrated to any Android or iOS smartphone with a standard audio port at low cost. The results indicate the metal detector can be used in the physics teaching laboratory as a practical application of principles of electromagnetism. It allows one to differentiate ferromagnetic samples from the diamagnetic and paramagnetic ones and can also be used to investigate the direction of alternating magnetic fields and to demonstrate the Faraday’s cage shielding effect.

TNFα blockade for inflammatory rheumatic diseases is associated with a significant gain in android fat mass and has varying effects on adipokines: a 2-year prospective study.

PubMed

Toussirot, Éric; Mourot, Laurent; Dehecq, Barbara; Wendling, Daniel; Grandclément, Émilie; Dumoulin, Gilles

2014-04-01

To evaluate the long-term consequences of TNFα inhibitors on body composition and fat distribution, as well as changes in serum adipokines in patients with rheumatoid arthritis (RA) or ankylosing spondylitis (AS). Eight patients with RA and twelve with AS requiring a TNFα inhibitor were prospectively followed for 2 years. Body composition was evaluated by dual X-ray absorptiometry and included measurements of total fat mass, lean mass, fat in the gynoid and android regions, and visceral fat. Serum leptin, total and high molecular weight (HMW) adiponectin, resistin, and ghrelin were also assessed. There was a significant gain in body mass index (p = 0.05) and a tendency for weight (p = 0.07), android fat (p = 0.07), and visceral fat (p = 0.059) increase in patients with RA, while in AS, total fat mass significantly increased (p = 0.02) with a parallel weight gain (p = 0.07). When examining the whole population of patients, we observed after 2 years a significant increase in body weight (+1.9%; p = 0.003), body mass index (+2.5%; p = 0.004), total fat mass (+11.1%; p = 0.007), and fat in the android region (+18.3%; p = 0.02). There was a substantial, albeit nonsignificant gain in visceral fat (+24.3%; p = 0.088). Lean mass and gynoid fat were not modified. No major changes were observed for serum leptin, total adiponectin, and ghrelin, while HMW adiponectin and the HMW/total adiponectin ratio tended to decrease (-15.2%, p = 0.057 and -9.3%, p = 0.067, respectively). Resistin decreased significantly (-22.4%, p = 0.01). Long-term TNFα inhibition in RA and AS is associated with a significant gain in fat mass, with a shift to the android (visceral) region. This fat redistribution raises questions about its influence on the cardiovascular profile of patients receiving these treatments.

Enhancing Privacy in Participatory Sensing Applications with Multidimensional Data

DOE Office of Scientific and Technical Information (OSTI.GOV)

Forrest, Stephanie; He, Wenbo; Groat, Michael

2013-01-01

Participatory sensing applications rely on individuals to share personal data to produce aggregated models and knowledge. In this setting, privacy concerns can discourage widespread adoption of new applications. We present a privacy-preserving participatory sensing scheme based on negative surveys for both continuous and multivariate categorical data. Without relying on encryption, our algorithms enhance the privacy of sensed data in an energy and computation efficient manner. Simulations and implementation on Android smart phones illustrate how multidimensional data can be aggregated in a useful and privacy-enhancing manner.

The use of mobile learning application to the fundament of digital electronics course

NASA Astrophysics Data System (ADS)

Rakhmawati, L.; Firdha, A.

2018-01-01

A new trend in e-learning is known as Mobile Learning. Learning through mobile phones have become part of the educative process. Thus, the purposes of this study are to develop a mobile application for the Fundament of Digital Electronics course that consists of number systems operation, logic gates, and Boolean Algebra, and to assess the readiness, perceptions, and effectiveness of students in the use of mobile devices for learning in the classroom. This research uses Research and Development (R&D) method. The design used in this research, by doing treatment in one class and observing by using Android-based mobile application instructional media. The result obtained from this research shows that the test has 80 % validity aspect, 82 % of the user from senior high school students gives a positive response in using the application of mobile learning, and based on the result of post-test, 90, 90% students passed the exam. At last, it can be concluded that the use of the mobile learning application makes the learning process more effective when it is used in the teaching-learning process.

Can Smartphones and Privacy Coexist Assessing Technologies and Regulations Protecting Personal Data on Android and iOS Devices

DTIC Science & Technology

2016-01-01

does not find any critically private information. To What Extent Do Apps Use Cryptography or Transmit Nonessential Private Data? In a third experiment... cryptography and private data. Specifically, we analyzed 50 banking apps on both iOS and Android to understand how well these apps use cryptography . First...RAND’s Engineering and Applied Sciences Department. His research expertise includes applied cryptography and technology policy. Zev Winkelman is a

Smartphone Applications for Amblyopia Treatment: A Review of Current Apps and Professional Involvement.

PubMed

Paudel, Nabin

2018-01-18

The objective of this study was to review games for amblyopia (lazy eye) that are commercially available in mobile applications (apps) stores and assess the involvement of eye care professionals in their development. The Google play store and the Apple iTunes store were searched in July 2017 and updated in September 2017 for amblyopia games using the terms amblyopia, lazy eye, amblyopia therapy, lazy eye therapy, lazy eye exercises, amblyopia exercises, lazy eye games, and amblyopia games. General ophthalmology or optometry apps and apps in languages other than English were excluded. A total of 42 games were identified, 12 Android only (28%), 20 iOS only (48%), and 10 (24%) both Android and iOS. Most of the games were available under the medical category (60%). Most of the games were released in 2015. The price of the games ranged from $0.00 to $32.00 (USD). Nearly half of the games (45%) were to be played binocularly either using red-green goggles (38%) or a virtual reality set (7%). Only 7% of the games had explicitly documented the involvement of eye care professionals during game development. Only one game (app) was developed in collaboration with a research group and a children's hospital. This study identified that most of the currently available games do not have eye care professional input. An establishment of the quality assurance by a body of qualified eye care professionals could enhance the confidence of patients and clinicians using the game.

File Cryptography with AES and RSA for Mobile Based on Android

NASA Astrophysics Data System (ADS)

laia, Yonata; Nababan, Marlince; Sihombing, Oloan; Aisyah, Siti; Sitanggang, Delima; Parsaoran, Saut; Zendato, Niskarto

2018-04-01

The users of mobile based on android were increasing currently even now mobile was almost the same computer one of which could be used to be done by every users mobile was save the individual important data.Saving the data on mobile was very risk because become hackers’ target. That was the reason of researchers want to add cryptography which the combination between Advance Encryption System (AES) dan Ron Rivest, Adi Shamir dan Len Adleman (RSA). The result of the second method above could do cryptography data on mobile. With different encryption time where the file size; 25.44 KB, encryption time 4 second, 200 KB, 5 second, 600 KB 7 second, 2.29 MB, 10 second. Where decryption 25.44 KB, encryption 2 second, 200 KB, 1.5 second, 600 KB 2.5 second, 2.29 MB, 2.7 second.

Exploring the Far Side of Mobile Health: Information Security and Privacy of Mobile Health Apps on iOS and Android

PubMed Central

Dehling, Tobias; Gao, Fangjian; Schneider, Stephan

2015-01-01

Background Mobile health (mHealth) apps aim at providing seamless access to tailored health information technology and have the potential to alleviate global health burdens. Yet, they bear risks to information security and privacy because users need to reveal private, sensitive medical information to redeem certain benefits. Due to the plethora and diversity of available mHealth apps, implications for information security and privacy are unclear and complex. Objective The objective of this study was to establish an overview of mHealth apps offered on iOS and Android with a special focus on potential damage to users through information security and privacy infringements. Methods We assessed apps available in English and offered in the categories “Medical” and “Health & Fitness” in the iOS and Android App Stores. Based on the information retrievable from the app stores, we established an overview of available mHealth apps, tagged apps to make offered information machine-readable, and clustered the discovered apps to identify and group similar apps. Subsequently, information security and privacy implications were assessed based on health specificity of information available to apps, potential damage through information leaks, potential damage through information manipulation, potential damage through information loss, and potential value of information to third parties. Results We discovered 24,405 health-related apps (iOS; 21,953; Android; 2452). Absence or scarceness of ratings for 81.36% (17,860/21,953) of iOS and 76.14% (1867/2452) of Android apps indicates that less than a quarter of mHealth apps are in more or less widespread use. Clustering resulted in 245 distinct clusters, which were consolidated into 12 app archetypes grouping clusters with similar assessments of potential damage through information security and privacy infringements. There were 6426 apps that were excluded during clustering. The majority of apps (95.63%, 17,193/17,979; of apps) pose

Packaged peristaltic micropump for controlled drug delivery application

NASA Astrophysics Data System (ADS)

Vinayakumar, K. B.; Nadiger, Girish; R. Shetty, Vikas; Dinesh, N. S.; Nayak, M. M.; Rajanna, K.

2017-01-01

Micropump technology has evolved significantly in the last two decades and is finding a variety of applications ranging from μTAS (micro Total Analysis System) to drug delivery. However, the application area of the micropump is limited owing to: simple pumping mechanism, ease of handling, controlled (microliter to milliliter) delivery, continuous delivery, and accuracy in flow rate. Here, the author presents the design, development, characterization, and precision flow controlling of a DC-motor driven peristaltic pump for controlled drug delivery application. All the micropump components were fabricated using the conventional fabrication technique. The volume flow variation of the pump has been characterized for different viscous fluids. The change in volume flow due to change in back pressure has been presented in detail. The fail-safe mode operation of the pump has been tested and leak rate was measured (˜0.14% leak for an inlet pressure of 140 kPa) for different inlet pressures. The precision volume flow of the pump has been achieved by measuring the pinch cam position and load current. The accuracy in the volume flow has been measured after 300 rotations. Finally, the complete system has been integrated with the necessary electronics and an android application has been developed for the self-administration of bolus and basal delivery of insulin.

An evaluation of diabetes targeted apps for Android smartphone in relation to behaviour change techniques.

PubMed

Hoppe, C D; Cade, J E; Carter, M

2017-06-01

Mobile applications (apps) could support diabetes management through dietary, weight and blood glucose self-monitoring, as well as by promoting behaviour change. The present study aimed to evaluate diabetes apps for content, functions and behaviour change techniques (BCTs). Diabetes self-management apps for Android smartphones were searched for on the Google Play Store. Ten apps each from the following search terms were included; 'diabetes', 'diabetes type 1', 'diabetes type 2', 'gestational diabetes'. Apps were evaluated by being scored according to their number of functions and BCTs, price, and user rating. The mean (SD) number of functions was 8.9 (5.9) out of a possible maximum of 27. Furthermore, the mean (SD) number of BCTs was 4.4 (2.6) out of a possible maximum of 26. Apps with optimum BCT had significantly more functions [13.8; 95% confidence interval (CI) = 11.9-15.9] than apps that did not (4.7; 95% CI = 3.2-6.2; P < 0.01) and significantly more BCTs (5.8; 95% CI = 4.8-7.0) than apps without (3.1; 95% CI = 2.2-4.1; P < 0.01). Additionally, apps with optimum BCT also cost more than other apps. In the adjusted models, highly rated apps had an average of 4.8 (95% CI = 0.9-8.7; P = 0.02) more functions than lower rated apps. 'Diabetes apps' include few functions or BCTs compared to the maximum score possible. Apps with optimum BCTs could indicate higher quality. App developers should consider including both specific functions and BCTs in 'diabetes apps' to make them more helpful. More research is needed to understand the components of an effective app for people with diabetes. © 2016 The British Dietetic Association Ltd.

RCSB PDB Mobile: iOS and Android mobile apps to provide data access and visualization to the RCSB Protein Data Bank

DOE Office of Scientific and Technical Information (OSTI.GOV)

Quinn, Gregory B.; Bi, Chunxiao; Christie, Cole H.

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) resource provides tools for query, analysis and visualization of the 3D structures in the PDB archive. As the mobile Web is starting to surpass desktop and laptop usage, scientists and educators are beginning to integrate mobile devices into their research and teaching. In response, we have developed the RCSB PDB Mobile app for the iOS and Android mobile platforms to enable fast and convenient access to RCSB PDB data and services. Lastly, using the app, users from the general public to expert researchers can quickly search and visualize biomolecules,more » and add personal annotations via the RCSB PDB's integrated MyPDB service.« less

RCSB PDB Mobile: iOS and Android mobile apps to provide data access and visualization to the RCSB Protein Data Bank

DOE PAGES

Quinn, Gregory B.; Bi, Chunxiao; Christie, Cole H.; ...

2014-09-02

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) resource provides tools for query, analysis and visualization of the 3D structures in the PDB archive. As the mobile Web is starting to surpass desktop and laptop usage, scientists and educators are beginning to integrate mobile devices into their research and teaching. In response, we have developed the RCSB PDB Mobile app for the iOS and Android mobile platforms to enable fast and convenient access to RCSB PDB data and services. Lastly, using the app, users from the general public to expert researchers can quickly search and visualize biomolecules,more » and add personal annotations via the RCSB PDB's integrated MyPDB service.« less

[Assessment method for mobile health applications in Spanish: The iSYScore index].

PubMed

Grau, I; Kostov, B; Gallego, J A; Grajales Iii, F; Fernández-Luque, L; Sisó-Almirall, A

The widespread of mobile smartphones among the population has resulted in a growing range of mobile applications in health using iOS and Android devices. The level of confidence that such applications deserve and the health information available online to the general population is a widely debated issue. The main objective of this work was to develop a tool -a scale-, for evaluating the reliability of health apps. The scale was developed using a systematic evidence-based approach, and with an expert consensus, built with a Delphi process. This was followed by a health app catalogue, which was used to test and validate our method that helps to recommend the best apps for non-medical experts across 3 different user interest axes: 1) popularity and interest; 2) trust and quality; and 3) usefulness. Copyright © 2015 Sociedad Española de Médicos de Atención Primaria (SEMERGEN). Publicado por Elsevier España, S.L.U. All rights reserved.

A Mobile Data Application for the Fermi Mission

NASA Astrophysics Data System (ADS)

Stephens, Thomas E.; Science Support Center, Fermi

2014-01-01

With the ever increasing use of smartphones and tablets among scientists and the world at large, it becomes increasingly important for projects and missions to have mobile friendly access to their data. This access could come in the form of mobile friendly websites and/or native mobile applications that allow the users to explore or access the data. The Fermi Gamma-ray Space Telescope mission has begun work along the latter path. In this poster I present the current version of the Fermi Data Portal, a native mobile application for both Android and iOS devices that allows access to various high level public data products from the Fermi Science Support Center (FSSC), the Gamma-ray Coordinate Network (GCN), and other sources. While network access is required to download data, most of the data served by the app are stored locally and are available even when a network connection is not available. This poster discusses the application's features as well as the development experience and lessons learned so far along the way.

A Mobile Data Application for the Fermi Mission

NASA Astrophysics Data System (ADS)

Stephens, T. E.

2013-10-01

With the ever increasing use of smartphones and tablets among scientists and the world at large, it becomes increasingly important for projects and missions to have mobile friendly access to their data. This access could come in the form of mobile friendly websites and/or native mobile applications that allow the users to explore or access the data. The Fermi Gamma-ray Space Telescope Mission has begun work along the latter path. In this poster I present the initial version of the Fermi Mobile Data Portal, a native application for both Android and iOS devices that allows access to various high level public data products from the Fermi Science Support Center (FSSC), the Gamma-ray Coordinate Network (GCN), and other sources. While network access is required to download data, most of the data served by the app are stored locally and are available even when a network connection is not available. This poster discusses the application's features as well as the development experience and lessons learned so far along the way.

MYPLAN - A Mobile Phone Application for Supporting People at Risk of Suicide.

PubMed

Skovgaard Larsen, Jette L; Frandsen, Hanne; Erlangsen, Annette

2016-05-01

Safety plans have been suggested as an intervention for people at risk of suicide. Given the impulsive character of suicidal ideation, a safety plan in the format of a mobile phone application is likely to be more available and useful than traditional paper versions. The study describes MYPLAN, a mobile phone application designed to support people at risk of suicide by letting them create a safety plan. MYPLAN was developed in collaboration with clinical psychiatric staff at Danish suicide preventive clinics. The mobile application lets the user create an individualized safety plan by filling in templates with strategies, actions, and direct links to contact persons. MYPLAN was developed in 2013 and is freely available in Denmark and Norway. It is designed for iPhone and android platforms. As of December 2015, the application has been downloaded almost 8,000 times. Users at risk of suicide as well as clinical staff have provided positive feedback on the mobile application. Support via mobile phone applications might be particularly useful for younger age groups at risk of suicide as well as in areas or countries where support options are lacking. Yet, it is important to examine the effectiveness of this type of intervention.

Real-Time Social Data Collection in Rural Bangladesh via a 'Microtasks for Micropayments' Platform on Android Smartphones.

PubMed

Bell, Andrew Reid; Ward, Patrick S; Killilea, Mary E; Tamal, Md Ehsanul Haque

2016-01-01

The advent of cheap smartphones in rural areas across the globe presents an opportunity to change the mode with which researchers engage hard-to-reach populations. In particular, smartphones allow researchers to connect with respondents more frequently than standard household surveys, opening a new window into important short-term variability in key measures of household and community wellbeing. In this paper, we present early results from a pilot study in rural Bangladesh using a 'microtasks for micropayments' model to collect a range of community and household living standards data using Android smartphones. We find that more frequent task repetition with shorter recall periods leads to more inclusive reporting, improved capture of intra-seasonal variability, and earlier signals of events such as illness. Payments in the form of mobile talk time and data provide a positive development externality in the form of expanded access to mobile internet and social networks. Taken to scale, programs such as this have potential to transform data collection in rural areas, providing near-real-time windows into the development of markets, the spread of illnesses, or the diffusion of ideas and innovations.

Fish measurement using Android smart phone: the example of swamp eel

NASA Astrophysics Data System (ADS)

Chen, Baisong; Fu, Zhuo; Ouyang, Haiying; Sun, Yingze; Ge, Changshui; Hu, Jing

The body length and weight are critical physiological parameters for fishes, especially eel-like fishes like swamp eel(Monopterusalbus).Fast and accurate measuring of body length is significant for swamp eel culturing as well as its resource investigation and protection. This paper presents an Android smart phone-based photogrammetry technology for measuring and estimating the length and weight of swamp eel. This method utilizes the feature that the ratio of lengths of two objects within an image is equal to that of in reality to measure the length of swamp eels. And then, it estimates the weight via a pre-built length-weight regression model. Analysis and experimental results have indicated that this method is a fast and accurate method for length and weight measurements of swamp eel. The cross-validation results shows that the RMSE (root-mean-square error) of total length measurement of swamp eel is0.4 cm, and the RMSE of weight estimation is 11 grams.

Development of a Smartphone App for a Genetics Website: The Amyotrophic Lateral Sclerosis Online Genetics Database (ALSoD)

PubMed Central

Abel, Olubunmi; Shatunov, Aleksey; Jones, Ashley R; Andersen, Peter M; Powell, John F

2013-01-01

Background The ALS Online Genetics Database (ALSoD) website holds mutation, geographical, and phenotype data on genes implicated in amyotrophic lateral sclerosis (ALS) and links to bioinformatics resources, publications, and tools for analysis. On average, there are 300 unique visits per day, suggesting a high demand from the research community. To enable wider access, we developed a mobile-friendly version of the website and a smartphone app. Objective We sought to compare data traffic before and after implementation of a mobile version of the website to assess utility. Methods We identified the most frequently viewed pages using Google Analytics and our in-house analytic monitoring. For these, we optimized the content layout of the screen, reduced image sizes, and summarized available information. We used the Microsoft .NET framework mobile detection property (HttpRequest.IsMobileDevice in the Request.Browser object in conjunction with HttpRequest.UserAgent), which returns a true value if the browser is a recognized mobile device. For app development, we used the Eclipse integrated development environment with Android plug-ins. We wrapped the mobile website version with the WebView object in Android. Simulators were downloaded to test and debug the applications. Results The website automatically detects access from a mobile phone and redirects pages to fit the smaller screen. Because the amount of data stored on ALSoD is very large, the available information for display using smartphone access is deliberately restricted to improve usability. Visits to the website increased from 2231 to 2820, yielding a 26% increase from the pre-mobile to post-mobile period and an increase from 103 to 340 visits (230%) using mobile devices (including tablets). The smartphone app is currently available on BlackBerry and Android devices and will be available shortly on iOS as well. Conclusions Further development of the ALSoD website has allowed access through smartphones and

Development of a Smartphone App for a Genetics Website: The Amyotrophic Lateral Sclerosis Online Genetics Database (ALSoD).

PubMed

Abel, Olubunmi; Shatunov, Aleksey; Jones, Ashley R; Andersen, Peter M; Powell, John F; Al-Chalabi, Ammar

2013-09-04

The ALS Online Genetics Database (ALSoD) website holds mutation, geographical, and phenotype data on genes implicated in amyotrophic lateral sclerosis (ALS) and links to bioinformatics resources, publications, and tools for analysis. On average, there are 300 unique visits per day, suggesting a high demand from the research community. To enable wider access, we developed a mobile-friendly version of the website and a smartphone app. We sought to compare data traffic before and after implementation of a mobile version of the website to assess utility. We identified the most frequently viewed pages using Google Analytics and our in-house analytic monitoring. For these, we optimized the content layout of the screen, reduced image sizes, and summarized available information. We used the Microsoft .NET framework mobile detection property (HttpRequest.IsMobileDevice in the Request.Browser object in conjunction with HttpRequest.UserAgent), which returns a true value if the browser is a recognized mobile device. For app development, we used the Eclipse integrated development environment with Android plug-ins. We wrapped the mobile website version with the WebView object in Android. Simulators were downloaded to test and debug the applications. The website automatically detects access from a mobile phone and redirects pages to fit the smaller screen. Because the amount of data stored on ALSoD is very large, the available information for display using smartphone access is deliberately restricted to improve usability. Visits to the website increased from 2231 to 2820, yielding a 26% increase from the pre-mobile to post-mobile period and an increase from 103 to 340 visits (230%) using mobile devices (including tablets). The smartphone app is currently available on BlackBerry and Android devices and will be available shortly on iOS as well. Further development of the ALSoD website has allowed access through smartphones and tablets, either through the website or directly through

A real time ECG signal processing application for arrhythmia detection on portable devices

NASA Astrophysics Data System (ADS)

Georganis, A.; Doulgeraki, N.; Asvestas, P.

2017-11-01

Arrhythmia describes the disorders of normal heart rate, which, depending on the case, can even be fatal for a patient with severe history of heart disease. The purpose of this work is to develop an application for heart signal visualization, processing and analysis in Android portable devices e.g. Mobile phones, tablets, etc. The application is able to retrieve the signal initially from a file and at a later stage this signal is processed and analysed within the device so that it can be classified according to the features of the arrhythmia. In the processing and analysing stage, different algorithms are included among them the Moving Average and Pan Tompkins algorithm as well as the use of wavelets, in order to extract features and characteristics. At the final stage, testing is performed by simulating our application in real-time records, using the TCP network protocol for communicating the mobile with a simulated signal source. The classification of ECG beat to be processed is performed by neural networks.

Developing Multi-Voice Speech Recognition Confidence Measures and Applying Them to AHLTA-Mobile

DTIC Science & Technology

2011-05-01

target application, then only the phoneme models used in that application’s command set need be adapted. For the purpose of the recorder app , I opted...and solve if. We also plan on creating a simplified civilian version of the recorder for iPhone and Android . Conclusion: First, speaker search...pushed forward to the field hospital before the injured soldier arrives. It is not onerous to play all of them. Trouble Shooting: You say “Blood

Current status of postnatal depression smartphone applications available on application stores: an information quality analysis.

PubMed

Zhang, Melvyn Wb; Ho, Roger Cm; Loh, Alvona; Wing, Tracey; Wynne, Olivia; Chan, Sally Wai Chi; Car, Josip; Fung, Daniel Shuen Sheng

2017-11-14

It is the aim of the current research to identify some common functionalities of postnatal application, and to determine the quality of the information content of postnatal depression application using validated scales that have been applied for applications in other specialties. To determine the information quality of the postnatal depression smartphone applications, the two most widely used smartphone application stores, namely Apple iTunes as well as Google Android Play store, were searched between 20May and 31 May. No participants were involved. The inclusion criteria for the application were that it must have been searchable using the keywords 'postnatal', 'pregnancy', 'perinatal', 'postpartum' and 'depression', and must be in English language. The Silberg Scale was used in the assessment of the information quality of the smartphone applications. The information quality score was the primary outcome measure. Our current results highlighted that while there is currently a myriad of applications, only 14 applications are specifically focused on postnatal depression. In addition, the majority of the currently available applications on the store have only disclosed their last date of modification as well as ownership. There remain very limited disclosures about the information of the authors, as well as the references for the information included in the application itself. The average score for the Silberg Scale for the postnatal applications we have analysed is 3.0. There remains a need for healthcare professionals and developers to jointly conceptualise new applications with better information quality and evidence base. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

A Mobile Health Application to Predict Postpartum Depression Based on Machine Learning.

PubMed

Jiménez-Serrano, Santiago; Tortajada, Salvador; García-Gómez, Juan Miguel

2015-07-01

Postpartum depression (PPD) is a disorder that often goes undiagnosed. The development of a screening program requires considerable and careful effort, where evidence-based decisions have to be taken in order to obtain an effective test with a high level of sensitivity and an acceptable specificity that is quick to perform, easy to interpret, culturally sensitive, and cost-effective. The purpose of this article is twofold: first, to develop classification models for detecting the risk of PPD during the first week after childbirth, thus enabling early intervention; and second, to develop a mobile health (m-health) application (app) for the Android(®) (Google, Mountain View, CA) platform based on the model with best performance for both mothers who have just given birth and clinicians who want to monitor their patient's test. A set of predictive models for estimating the risk of PPD was trained using machine learning techniques and data about postpartum women collected from seven Spanish hospitals. An internal evaluation was carried out using a hold-out strategy. An easy flowchart and architecture for designing the graphical user interface of the m-health app was followed. Naive Bayes showed the best balance between sensitivity and specificity as a predictive model for PPD during the first week after delivery. It was integrated into the clinical decision support system for Android mobile apps. This approach can enable the early prediction and detection of PPD because it fulfills the conditions of an effective screening test with a high level of sensitivity and specificity that is quick to perform, easy to interpret, culturally sensitive, and cost-effective.

Real-Time Social Data Collection in Rural Bangladesh via a ‘Microtasks for Micropayments’ Platform on Android Smartphones

PubMed Central

Ward, Patrick S.; Killilea, Mary E.; Tamal, Md. Ehsanul Haque

2016-01-01

The advent of cheap smartphones in rural areas across the globe presents an opportunity to change the mode with which researchers engage hard-to-reach populations. In particular, smartphones allow researchers to connect with respondents more frequently than standard household surveys, opening a new window into important short-term variability in key measures of household and community wellbeing. In this paper, we present early results from a pilot study in rural Bangladesh using a ‘microtasks for micropayments’ model to collect a range of community and household living standards data using Android smartphones. We find that more frequent task repetition with shorter recall periods leads to more inclusive reporting, improved capture of intra-seasonal variability, and earlier signals of events such as illness. Payments in the form of mobile talk time and data provide a positive development externality in the form of expanded access to mobile internet and social networks. Taken to scale, programs such as this have potential to transform data collection in rural areas, providing near-real-time windows into the development of markets, the spread of illnesses, or the diffusion of ideas and innovations. PMID:27832116

Smartphone applications for pain management.

PubMed

Rosser, Benjamin A; Eccleston, Christopher

2011-01-01

Smartphone applications (or apps) are becoming increasingly popular. The lack of regulation or guidance for health-related apps means that the validity and reliability of their content is unknown. We have conducted a review of available apps relating to the generic condition of pain. The official application stores for five major smartphone platforms were searched: iPhone, Android, Blackberry, Nokia/Symbian and Windows Mobile. Apps were included if they reported a focus on pain education, management or relief, and were not solely aimed at health-care professionals (HCPs). A total of 111 apps met the inclusion criteria. The majority of apps reviewed claimed some information provision or electronic manual component. Diary tracking of pain variables was also a common feature. There was a low level of stated HCP involvement in app development and content. Despite an increasing number of apps being released, the frequency of HCP involvement is not increasing. Pain apps appear to be able to promise pain relief without any concern for the effectiveness of the product, or for possible adverse effects of product use. In a population often desperate for a solution to distressing and debilitating pain conditions, there is considerable risk of individuals being misled.

Development of Whole Slide Imaging on Smartphones and Evaluation With ThinPrep Cytology Test Samples: Follow-Up Study

PubMed Central

Ma, Shuoxin; Yu, Hong; Jin, Yu-Biao; Zheng, Jun

2018-01-01

Background The smartphone-based whole slide imaging (WSI) system represents a low-cost and effective alternative to automatic scanners for telepathology. In a previous study, the development of one such solution, named scalable whole slide imaging (sWSI), was presented and analyzed. A clinical evaluation of its iOS version with 100 frozen section samples verified the diagnosis-readiness of the produced virtual slides. Objective The first aim of this study was to delve into the quantifying issues encountered in the development of an Android version. It should also provide insights into future high-resolution real-time feedback medical imaging apps on Android and invoke the awareness of smartphone manufacturers for collaboration. The second aim of this study was to further verify the clinical value of sWSI with cytology samples. This type is different from the frozen section samples in that they require finer detail on the cellular level. Methods During sWSI development on Android, it was discovered that many models do not support uncompressed camera pixel data with sufficient resolution and full field of view. The proportion of models supporting the optimal format was estimated in a test on 200 mainstream Android models. Other factors, including slower processing speed and camera preview freezing, also led to inferior performance of sWSI on Android compared with the iOS version. The processing speed was mostly determined by the central processing unit frequency in theory, and the relationship was investigated in the 200-model simulation experiment with physical devices. The camera preview freezing was caused by the lag between triggering photo capture and resuming preview. In the clinical evaluation, 100 ThinPrep cytology test samples covering 6 diseases were scanned with sWSI and compared against the ground truth of optical microscopy. Results Among the tested Android models, only 3.0% (6/200) provided an optimal data format, meeting all criteria of quality and

Cl app: android-based application program for monitoring the residue chlorine in water

NASA Astrophysics Data System (ADS)

Intaravanne, Yuttana; Sumriddetchkajorn, Sarun; Porntheeraphat, Supanit; Chaitavon, Kosom; Vuttivong, Sirajit

2015-07-01

A farmer usually uses a cheap chemical material called chlorine to destroy the cell structure of unwanted organisms and remove some plant effluents in a baby shrimp farm. A color changing of the reaction between chlorine and chemical indicator is used to monitor the residue chlorine in water before releasing a baby shrimp into a pond. To get rid of the error in color reading, our previous works showed how a smartphone can be functioned as a color reader for estimating the chlorine concentration in water. In this paper, we show the improvement of interior configuration of our prototype and the distribution to several baby shrimp farms. In the future, we plan to make it available worldwide through the online market as well as to develop more application programs for monitoring other chemical substances.

Photogrammetric 3D reconstruction using mobile imaging

NASA Astrophysics Data System (ADS)

Fritsch, Dieter; Syll, Miguel

2015-03-01

In our paper we demonstrate the development of an Android Application (AndroidSfM) for photogrammetric 3D reconstruction that works on smartphones and tablets likewise. The photos are taken with mobile devices, and can thereafter directly be calibrated using standard calibration algorithms of photogrammetry and computer vision, on that device. Due to still limited computing resources on mobile devices, a client-server handshake using Dropbox transfers the photos to the sever to run AndroidSfM for the pose estimation of all photos by Structure-from-Motion and, thereafter, uses the oriented bunch of photos for dense point cloud estimation by dense image matching algorithms. The result is transferred back to the mobile device for visualization and ad-hoc on-screen measurements.

Defense Acquisitions: DOD Efforts to Adopt Open Systems for Its Unmanned Aircraft Systems Have Progressed Slowly

DTIC Science & Technology

2013-07-01

applications introduced by third-party developers to connect to the Android operating system through an open software interface. This allows customers...Definition Multimedia Interface have been developed to address the need for standards for high-definition televisions and computer monitors. Perhaps

RCSB PDB Mobile: iOS and Android mobile apps to provide data access and visualization to the RCSB Protein Data Bank.

PubMed

Quinn, Gregory B; Bi, Chunxiao; Christie, Cole H; Pang, Kyle; Prlić, Andreas; Nakane, Takanori; Zardecki, Christine; Voigt, Maria; Berman, Helen M; Bourne, Philip E; Rose, Peter W

2015-01-01

The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) resource provides tools for query, analysis and visualization of the 3D structures in the PDB archive. As the mobile Web is starting to surpass desktop and laptop usage, scientists and educators are beginning to integrate mobile devices into their research and teaching. In response, we have developed the RCSB PDB Mobile app for the iOS and Android mobile platforms to enable fast and convenient access to RCSB PDB data and services. Using the app, users from the general public to expert researchers can quickly search and visualize biomolecules, and add personal annotations via the RCSB PDB's integrated MyPDB service. RCSB PDB Mobile is freely available from the Apple App Store and Google Play (http://www.rcsb.org). © The Author 2014. Published by Oxford University Press.

RCSB PDB Mobile: iOS and Android mobile apps to provide data access and visualization to the RCSB Protein Data Bank

PubMed Central

Quinn, Gregory B.; Bi, Chunxiao; Christie, Cole H.; Pang, Kyle; Prlić, Andreas; Nakane, Takanori; Zardecki, Christine; Voigt, Maria; Berman, Helen M.; Rose, Peter W.

2015-01-01

Summary: The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) resource provides tools for query, analysis and visualization of the 3D structures in the PDB archive. As the mobile Web is starting to surpass desktop and laptop usage, scientists and educators are beginning to integrate mobile devices into their research and teaching. In response, we have developed the RCSB PDB Mobile app for the iOS and Android mobile platforms to enable fast and convenient access to RCSB PDB data and services. Using the app, users from the general public to expert researchers can quickly search and visualize biomolecules, and add personal annotations via the RCSB PDB’s integrated MyPDB service. Availability and implementation: RCSB PDB Mobile is freely available from the Apple App Store and Google Play (http://www.rcsb.org). Contact: pwrose@ucsd.edu PMID:25183487

Users of the main smartphone operating systems (iOS, Android) differ only little in personality

PubMed Central

Stieger, Stefan; Reips, Ulf-Dietrich

2017-01-01

The increasingly widespread use of mobile phone applications (apps) as research tools and cost-effective means of vast data collection raises new methodological challenges. In recent years, it has become a common practice for scientists to design apps that run only on a single operating system, thereby excluding large numbers of users who use a different operating system. However, empirical evidence investigating any selection biases that might result thereof is scarce. Henceforth, we conducted two studies drawing from a large multi-national (Study 1; N = 1,081) and a German-speaking sample (Study 2; N = 2,438). As such Study 1 compared iOS and Android users across an array of key personality traits (i.e., well-being, self-esteem, willingness to take risks, optimism, pessimism, Dark Triad, and the Big Five). Focusing on Big Five personality traits in a broader scope, in addition to smartphone users, Study 2 also examined users of the main computer operating systems (i.e., Mac OS, Windows). In both studies, very few significant differences were found, all of which were of small or even tiny effect size mostly disappearing after sociodemographics had been controlled for. Taken together, minor differences in personality seem to exist, but they are of small to negligible effect size (ranging from OR = 0.919 to 1.344 (Study 1), ηp2 = .005 to .036 (Study 2), respectively) and may reflect differences in sociodemographic composition, rather than operating system of smartphone users. PMID:28467473

Users of the main smartphone operating systems (iOS, Android) differ only little in personality.

PubMed

Götz, Friedrich M; Stieger, Stefan; Reips, Ulf-Dietrich

2017-01-01

The increasingly widespread use of mobile phone applications (apps) as research tools and cost-effective means of vast data collection raises new methodological challenges. In recent years, it has become a common practice for scientists to design apps that run only on a single operating system, thereby excluding large numbers of users who use a different operating system. However, empirical evidence investigating any selection biases that might result thereof is scarce. Henceforth, we conducted two studies drawing from a large multi-national (Study 1; N = 1,081) and a German-speaking sample (Study 2; N = 2,438). As such Study 1 compared iOS and Android users across an array of key personality traits (i.e., well-being, self-esteem, willingness to take risks, optimism, pessimism, Dark Triad, and the Big Five). Focusing on Big Five personality traits in a broader scope, in addition to smartphone users, Study 2 also examined users of the main computer operating systems (i.e., Mac OS, Windows). In both studies, very few significant differences were found, all of which were of small or even tiny effect size mostly disappearing after sociodemographics had been controlled for. Taken together, minor differences in personality seem to exist, but they are of small to negligible effect size (ranging from OR = 0.919 to 1.344 (Study 1), ηp2 = .005 to .036 (Study 2), respectively) and may reflect differences in sociodemographic composition, rather than operating system of smartphone users.

Raising the Bar: Challenging Students in a Capstone Project Course with an Android and Mobile Web Parallel Development Team Project

ERIC Educational Resources Information Center

Wong, Wilson; Pepe, James; Englander, Irv

2017-01-01

Information systems capstone projects aim to prepare students for what they will encounter in the industry after graduation. Corporate application development is often a complex endeavor that requires coordination between related products. For example, software development in the mobile application sector may require a coordinated parallel…

BAMOS: A recording application for BAsso MOuse scale of locomotion in experimental models of spinal cord injury.

PubMed

Gómez, Alberto; Nieto-Díaz, Manuel; Del Águila, Ángela; Arias, Enrique

2018-05-01

Transparency in science is increasingly a hot topic. Scientists are required to show not only results but also evidence of how they have achieved these results. In experimental studies of spinal cord injury, there are a number of standardized tests, such as the Basso-Beattie-Bresnahan locomotor rating scale for rats and Basso Mouse Scale for mice, which researchers use to study the pathophysiology of spinal cord injury and to evaluate the effects of experimental therapies. Although the standardized data from the Basso-Beattie-Bresnahan locomotor rating scale and the Basso Mouse Scale are particularly suited for storage and sharing in databases, systems of data acquisition and repositories are still lacking. To the best of our knowledge, both tests are usually conducted manually, with the data being recorded on a paper form, which may be documented with video recordings, before the data is transferred to a spreadsheet for analysis. The data thus obtained is used to compute global scores, which is the information that usually appears in publications, with a wealth of information being omitted. This information may be relevant to understand locomotion deficits or recovery, or even important aspects of the treatment effects. Therefore, this paper presents a mobile application to record and share Basso Mouse Scale tests, meeting the following criteria: i) user-friendly; ii) few hardware requirements (only a smartphone or tablet with a camera running under Android Operating System); and iii) based on open source software such as SQLite, XML, Java, Android Studio and Android SDK. The BAMOS app can be downloaded and installed from the Google Market repository and the app code is available at the GitHub repository. The BAMOS app demonstrates that mobile technology constitutes an opportunity to develop tools for aiding spinal cord injury scientists in recording and sharing experimental data. Copyright © 2018 Elsevier Ltd. All rights reserved.

Effects of a smartphone application on breast self-examination: a feasibility study.

PubMed

Heo, Jaesung; Chun, Mison; Lee, Ki Young; Oh, Young-Taek; Noh, O Kyu; Park, Rae Woong

2013-12-01

The aims of this study were to develop a smartphone application to encourage breast self-examination (BSE), and to evaluate the effects of this application in terms of modifying BSE behavior. A smartphone application, based on the Android OS, was developed with functions including a BSE date alarm, a reminder to encourage mother and daughter to practice BSE together, record keeping, and educational content with video clips. Females aged 19 and over were enrolled to evaluate the effectiveness of the application. Two series of questionnaires were carried out (before and after use of the application) by e-mail, telephone, and face-to-face interviews between July and September 2012. Forty-five subjects were enrolled in the study (age 29.5-5.9 years). Of the participants, only 28 (62.2%) had ever practiced BSE and only one of these (2.2%) was carried out at the appropriate time, based on the results of the baseline survey. After using the application, the number of participants practicing BSE increased from 28 to 32 (62.2% to 71.1%, p = 0.503). In subgroup analysis (age < 30 years), the number of participants using BSE increased from 8 to 18 (36.4% to 81.8%, p = 0.002), and the number of those using it at the appropriate time rose from 1 to 15 (2.2% to 33.3%, p < 0.001). The use of the developed smartphone application increased BSE in females younger than 30 years. To confirm the long-term benefits of the mobile application, additional studies must be carried out.

Development of a Smartphone Application to Capture Carbohydrate, Lipid, and Protein Contents of Daily Food: Need for Integration in Artificial Pancreas for Patients With Type 1 Diabetes?

PubMed

Diouri, Omar; Place, Jerome; Traverso, Magali; Georgescu, Vera; Picot, Marie-Christine; Renard, Eric

2015-09-30

Meal lipids (LIP) and proteins (PRO) may influence the effect of insulin doses based on carbohydrate (CHO) counting in patients with type 1 diabetes (T1D). We developed a smartphone application for CHO, LIP, and PRO counting in daily food and assessed its usability in real-life conditions and potential usefulness. Ten T1D patients used the android application for 1 week to collect their food intakes. Data included meal composition, premeal and 2-hour postmeal blood glucose, corrections for hypo- or hyperglycemia after meals, and time for entering meals in the application. Meal insulin doses were based on patients' CHO counting (application in blinded mode). Linear mixed models were used to assess the statistical differences. In all, 187 meals were analyzed. Average computed CHO amount was 74.37 ± 31.78 grams; LIP amount: 20.26 ± 14.28 grams and PRO amount: 25.68 ± 16.68 grams. Average CHO, LIP, and PRO contents were significantly different between breakfast and lunch/dinner. The average time for meal entry in the application moved from 3-4 minutes to 2.5 minutes during the week. No significant impact of LIP and PRO was found on available blood glucose values. Our study shows CHO, LIP, and PRO intakes can be easily captured by an application on smartphone for meal entry used by T1D patients. Although LIP and PRO meal contents did not influence glucose levels when insulin doses were based on CHO in this pilot study, this application could be used for further investigation of this topic, including in closed-loop conditions. © 2015 Diabetes Technology Society.

Development of a multi-behavioral mHealth app for women smokers

PubMed Central

Armin, Julie; Johnson, Thienne; Hingle, Melanie; Giacobbi, Peter; Gordon, Judith S.

2017-01-01

Objective This paper describes the development of the See Me Smoke-Free™ (SMSF) mobile health application, which uses guided imagery to support women in smoking cessation, eating a healthy diet, and increasing physical activity. Materials and Methods Focus group discussions, with member checks, were conducted to refine the intervention content and app user interface. Data related to the context of app deployment were collected via user testing sessions and internal quality control testing, which identified and addressed functionality issues, content problems, and bugs. Results Interactive app features include playback of guided imagery audio files, notification pop-ups, award-sharing on social media, a tracking calendar, content resources, and direct call to the local tobacco quitline. Focus groups helped design the user interface, and identified several themes for incorporation into app content, including positivity, the rewards of smoking cessation, and the integrated benefits maintaining a healthy lifestyle. User testing improved app functionality and usability on many Android phone models. Discussion Changes to the app content and function were made iteratively by the development team as a result of focus group and user testing. Despite extensive internal and user testing, unanticipated data collection and reporting issues emerged during deployment due to the variety of Android software and hardware, but also due to individual phone settings and use. Conclusion Focus group interviews helped thematically frame the intervention and maximize user engagement. Testing caught many bugs and usability concerns, but missed some of the data transmission problems encountered during deployment. PMID:28121240

A smartphone application of alcohol resilience treatment for behavioral self-control training.

PubMed

Yu, Fei; Albers, Jörg; Gao, Tian; Wang, Minghao; Bilberg, Arne; Stenager, Elsebeth

2012-01-01

High relapse rate is one of the most prominent problems in addiction treatment. Alcohol Resilience Treatment (ART), an alcohol addiction therapy, is based on Cue Exposure Treatment, which has shown promising results in preliminary studies. ART aims at optimizing the core area of relapse prevention, and intends to improve patients' capability to withstand craving of alcohol. This method emphasizes the interplay of resilience and resourcefulness. It contains 6 sessions with different topics according to the stage of treatment circuit, and each session consists of 6 steps. Due to the purity and structure of the treatment rationale, it is realistic, reasonable and manageable to transform the method into a smartphone application. An ART app in Android system and an accessory of bilateral tactile stimulation were developed and will be used in a study with behavioral self-control training. This paper presents the design and realization of the smartphone based ART application. The design of a pilot study, which is to examine the benefits of a smartphone application providing behavioral self-control training, is also reported in this paper.

Development of Whole Slide Imaging on Smartphones and Evaluation With ThinPrep Cytology Test Samples: Follow-Up Study.

PubMed

Huang, Yu-Ning; Peng, Xing-Chun; Ma, Shuoxin; Yu, Hong; Jin, Yu-Biao; Zheng, Jun; Fu, Guo-Hui

2018-04-04

The smartphone-based whole slide imaging (WSI) system represents a low-cost and effective alternative to automatic scanners for telepathology. In a previous study, the development of one such solution, named scalable whole slide imaging (sWSI), was presented and analyzed. A clinical evaluation of its iOS version with 100 frozen section samples verified the diagnosis-readiness of the produced virtual slides. The first aim of this study was to delve into the quantifying issues encountered in the development of an Android version. It should also provide insights into future high-resolution real-time feedback medical imaging apps on Android and invoke the awareness of smartphone manufacturers for collaboration. The second aim of this study was to further verify the clinical value of sWSI with cytology samples. This type is different from the frozen section samples in that they require finer detail on the cellular level. During sWSI development on Android, it was discovered that many models do not support uncompressed camera pixel data with sufficient resolution and full field of view. The proportion of models supporting the optimal format was estimated in a test on 200 mainstream Android models. Other factors, including slower processing speed and camera preview freezing, also led to inferior performance of sWSI on Android compared with the iOS version. The processing speed was mostly determined by the central processing unit frequency in theory, and the relationship was investigated in the 200-model simulation experiment with physical devices. The camera preview freezing was caused by the lag between triggering photo capture and resuming preview. In the clinical evaluation, 100 ThinPrep cytology test samples covering 6 diseases were scanned with sWSI and compared against the ground truth of optical microscopy. Among the tested Android models, only 3.0% (6/200) provided an optimal data format, meeting all criteria of quality and efficiency. The image-processing speed

Cold Environment Assessment Tool (CEAT) User’s Guide for Apple Mobile Devices

DTIC Science & Technology

2015-06-01

discussion of mobile Android device relevance to the military see, “Android Smartphone Relevance to Military Weather Applications”.5 2. CEAT Inputs To...eating, resting, sleeping , clerical work • Low: Walking, marching without rucksack, drill and ceremony • High: Digging foxhole, running, marching...2013. 5. Sauter, D. Android smartphone relevance to military weather applications. White Sands Missile Range (NM): Army Research Laboratory (US

Vi-da: vitiligo diagnostic assistance mobile application

NASA Astrophysics Data System (ADS)

Nugraha, G. A.; Nurhudatiana, A.; Bahana, R.

2018-03-01

Vitiligo is a skin disorder in which white patches of depigmentation appear on different parts of the body. Usually, patients come to hospitals or clinics to have their vitiligo conditions assessed. This can be very tiring to the patients, as vitiligo treatments usually take a relatively long period of time, which can range from months to years. To address this challenge, we present in this paper a prototype of an Android-based mobile application called Vi-DA, which stands for Vitiligo Diagnostic Assistance. Vi-DA consists of three subsystems, which are user sign-up subsystem, camera and image analysis subsystem, and progress report subsystem. The mobile application was developed in Java programming language and uses MySQL as the database system. Vi-DA adopts a vitiligo segmentation algorithm to segment input image into normal skin area, vitiligo skin area, and non-skin area. Results showed that Vi-DA gave comparable results to the previous system implemented in Matlab. User acceptance testing results also showed that all respondents agreed on the usefulness of the system and agreed to use Vi-DA again in the future. Vi-DA benefits both dermatologists and patients as not only a computer-aided diagnosis (CAD) tool but also as a smart application that can be used for self-assessment at home.

Antimicrobial resistance dashboard application for mapping environmental occurrence and resistant pathogens

PubMed Central

Stedtfeld, Robert D.; Williams, Maggie R.; Fakher, Umama; Johnson, Timothy A.; Stedtfeld, Tiffany M.; Wang, Fang; Khalife, Walid T.; Hughes, Mary; Etchebarne, Brett E.; Tiedje, James M.; Hashsham, Syed A.

2016-01-01

An antibiotic resistance (AR) Dashboard application is being developed regarding the occurrence of antibiotic resistance genes (ARG) and bacteria (ARB) in environmental and clinical settings. The application gathers and geospatially maps AR studies, reported occurrence and antibiograms, which can be downloaded for offline analysis. With the integration of multiple data sets, the database can be used on a regional or global scale to identify hot spots for ARGs and ARB; track and link spread and transmission, quantify environmental or human factors influencing presence and persistence of ARG harboring organisms; differentiate natural ARGs from those distributed via human or animal activity; cluster and compare ARGs connections in different environments and hosts; and identify genes that can be used as proxies to routinely monitor anthropogenic pollution. To initially populate and develop the AR Dashboard, a qPCR ARG array was tested with 30 surface waters, primary influent from three waste water treatment facilities, ten clinical isolates from a regional hospital and data from previously published studies including river, park soil and swine farm samples. Interested users are invited to download a beta version (available on iOS or Android), submit AR information using the application, and provide feedback on current and prospective functionalities. PMID:26850162

A standardized review of smartphone applications to promote balance for older adults.

PubMed

Reyes, Angelica; Qin, Pei; Brown, Cary A

2018-03-01

Balance is one of the risk factors for falls in older adults. The use of smartphone applications (apps) related to health (mHealth) is increasing and, while there is potential for apps to be used as a self-managed balance intervention, many healthcare providers are concerned about the content and credibility of mHealth apps overall. This study evaluates the quality of balance promoting apps and identifies strengths and areas of concern to assist healthcare providers in recommending these resources. Balance apps for the general public, offered on the iPhone Operating System (iOS) and Android platforms, were evaluated using the Mobile Application Rating Scale (MARS). Five iOS apps met the inclusion criteria. The mean scores for each of the domains in MARS were: Engagement (3.32), Information (3.7), Functionality (3.8), and Esthetics (3.8). Overall, one app (UStabilize) received a rating of 4.43 in MARS five-point scale, which was considered "good". Other apps in the review demonstrated acceptable quality. The reviewed balance apps targeted to improve or maintain physical balance were of acceptable quality. Apps address many current issues older adults have to accessing rehabilitation services and, as such, may be particularly useful for this group. Future research should focus on assessing and comparing app efficacy. Development of balance apps for the Android platform is also necessary. Implications for Rehabilitation Given the availability and accessibility of various mHealth apps and the increasing mobile device usage among older adults, mobile apps are a promising avenue for delivering rehabilitation interventions, such as balance training, to older adults. Smartphone apps exist for balance training but overall confidence in health apps within the healthcare community is low and rigorous evaluation is required. A range of apps exist that demonstrate acceptable to good quality and stakeholders should work towards having these apps listed in credible m

Human-like object tracking and gaze estimation with PKD android

PubMed Central

Wijayasinghe, Indika B.; Miller, Haylie L.; Das, Sumit K; Bugnariu, Nicoleta L.; Popa, Dan O.

2018-01-01

As the use of robots increases for tasks that require human-robot interactions, it is vital that robots exhibit and understand human-like cues for effective communication. In this paper, we describe the implementation of object tracking capability on Philip K. Dick (PKD) android and a gaze tracking algorithm, both of which further robot capabilities with regard to human communication. PKD's ability to track objects with human-like head postures is achieved with visual feedback from a Kinect system and an eye camera. The goal of object tracking with human-like gestures is twofold : to facilitate better human-robot interactions and to enable PKD as a human gaze emulator for future studies. The gaze tracking system employs a mobile eye tracking system (ETG; SensoMotoric Instruments) and a motion capture system (Cortex; Motion Analysis Corp.) for tracking the head orientations. Objects to be tracked are displayed by a virtual reality system, the Computer Assisted Rehabilitation Environment (CAREN; MotekForce Link). The gaze tracking algorithm converts eye tracking data and head orientations to gaze information facilitating two objectives: to evaluate the performance of the object tracking system for PKD and to use the gaze information to predict the intentions of the user, enabling the robot to understand physical cues by humans. PMID:29416193

Human-like object tracking and gaze estimation with PKD android

NASA Astrophysics Data System (ADS)

Wijayasinghe, Indika B.; Miller, Haylie L.; Das, Sumit K.; Bugnariu, Nicoleta L.; Popa, Dan O.

2016-05-01

As the use of robots increases for tasks that require human-robot interactions, it is vital that robots exhibit and understand human-like cues for effective communication. In this paper, we describe the implementation of object tracking capability on Philip K. Dick (PKD) android and a gaze tracking algorithm, both of which further robot capabilities with regard to human communication. PKD's ability to track objects with human-like head postures is achieved with visual feedback from a Kinect system and an eye camera. The goal of object tracking with human-like gestures is twofold: to facilitate better human-robot interactions and to enable PKD as a human gaze emulator for future studies. The gaze tracking system employs a mobile eye tracking system (ETG; SensoMotoric Instruments) and a motion capture system (Cortex; Motion Analysis Corp.) for tracking the head orientations. Objects to be tracked are displayed by a virtual reality system, the Computer Assisted Rehabilitation Environment (CAREN; MotekForce Link). The gaze tracking algorithm converts eye tracking data and head orientations to gaze information facilitating two objectives: to evaluate the performance of the object tracking system for PKD and to use the gaze information to predict the intentions of the user, enabling the robot to understand physical cues by humans.

[Metaphylaxis of urolithiasis: new look, modern approach, implementation in a mobile application].

PubMed

Gadzhiev, N K; Brovkin, S S; Grigorev, V E; Dmitriev, V V; Malkhasyan, V A; Shkarupa, D D; Pisarev, A V; Mazurenko, D A; Obidnyak, V M; Orlov, I N; Popov, S V; Tagirov, N S; Petrov, S V

2017-04-01

To analyze the sub-segment of mHealth devoted to assessing of the risk of recurrent stone formation and metaphylaxis of stone formation. To design a smartphone application (app.) in Russian language for urolithiasis patients. Three working groups of urologists from three St. Petersburg clinics searched for downloadable medical applications relevant to the above requirements. After searching and analyzing existing medical applications, the most acceptable design and structure of our own application were identified. The developed "Urolithiasis" application is available for free download in Russian language versions in App Store (Apple, Inc.) and Google Play (Android market, Google, Inc.). It features the following sections: 1) "Take the test" (personalized calculation of the risk of kidney stone recurrence and providing relevant recommendations using ROKS nomogram), 2) "Water" (with reminders to drink water and automatic logging of the water intake), 3) "Food" (Nutrition facts on the content of calcium, oxalate, purine, protein, citrate and calories in common foods), 4) "My doctor" (in the future this option will allow for on-line communication with a patients physician), 5) "Feedback" (if the patient does not find the desired product or has a question - this section is for him/her). The smartphone application "Urolithiasis" in Russian may be recommended to patients with urolithiasis for improving the effectiveness of metaphylaxis.

Mobile Application "Neurogame" for Assessment the Attention, Focus and Concentration.

PubMed

Loleski, Mario; Loleska, Sofija; Pop-Jordanova, Nada

2017-12-01

Smartphones are ubiquitous, but it is still unknown what physiological functions can be monitored at clinical quality. In medicine their use is cited in many fields (cardiology, pulmology, endocrinology, rheumatology, pediatrics as well as in the field of mental health). The aim of this paper is to explain how the use of mobile application can help clients to improve the index of their focus, concentration and motor skills. Our original developed application on Android operating system, named "neurogame" is based on an open source platform to enable assessment and therapeutic stimulation, focus and concentration with the ability to monitor the progress of the results obtained in a larger number of participants (normal subjects as well as patients with different disorders) over a period of time. Whilst nowadays the predominant focus is on the pharmacological treatments, there is a rapidly growing interest in research on alternative options that will offer help in many cases of disorder management in terms of mobile application games. In order to have some kind of "norms", we evaluated a group of healthy population. Obtained results will serve as a database for comparison the future results. This article displays the results obtained as database.

[Migration from a rural zone to an urban one is associated with android distribution of body fat in obese women].

PubMed

González-Barranco, J; López-Alvarenga, J C; Roiz-Simancas, M; Bravo-García, A L; Fanghänel-Salmón, G; Laviada Arrigunaga, E; Castaño, L R; García Tapia, M P

2001-01-01

Studies about migration to industrialized countries have shown an increased prevalence of diabetes, obesity and dyslipidaemias, all of them related to android body fat distribution. Migration status might be influence body fat distribution but it has not been sufficiently investigated. The aim of this study is to determine the relationship between body fat distribution and migration from rural to urban areas in Mexico. This sequential sample of 433 women were seen in the outpatient obesity clinic of four federal states: Tabasco (n = 81), Mexico City (n = 166), Coahuila (n = 80), and Yucatan (n = 106). Migration history from rural to urban area, familial history of diabetes, ages of onset of obesity, height and weight circumferences were obtained. A regression logistic model was used and maintained as dependent variable body fat distribution. Age and federal state were considered as confounders and they adjusted the model. Migrating women from rural to urban area were 121 (27.9%). The waist circumference was higher in Tabasco (102.2 +/- 12 cm), and lesser in Yucatan (93.6 +/- 15 cm, p < 0.001); no differences were found for hip circumference. The logistic regression model showed that body fat distribution is associated to migration from rural to urban area, and also to diabetes of mother and age of onset of obesity. Migrating from rural to urban area is a risk factor for android body fat distribution and this risk increases with age, history of diabetes in mother and adulthood onset o obesity.

Object tracking on mobile devices using binary descriptors

NASA Astrophysics Data System (ADS)

Savakis, Andreas; Quraishi, Mohammad Faiz; Minnehan, Breton

2015-03-01

With the growing ubiquity of mobile devices, advanced applications are relying on computer vision techniques to provide novel experiences for users. Currently, few tracking approaches take into consideration the resource constraints on mobile devices. Designing efficient tracking algorithms and optimizing performance for mobile devices can result in better and more efficient tracking for applications, such as augmented reality. In this paper, we use binary descriptors, including Fast Retina Keypoint (FREAK), Oriented FAST and Rotated BRIEF (ORB), Binary Robust Independent Features (BRIEF), and Binary Robust Invariant Scalable Keypoints (BRISK) to obtain real time tracking performance on mobile devices. We consider both Google's Android and Apple's iOS operating systems to implement our tracking approach. The Android implementation is done using Android's Native Development Kit (NDK), which gives the performance benefits of using native code as well as access to legacy libraries. The iOS implementation was created using both the native Objective-C and the C++ programing languages. We also introduce simplified versions of the BRIEF and BRISK descriptors that improve processing speed without compromising tracking accuracy.

The Sound and Feel of Titrations: A Smartphone Aid for Color-Blind and Visually Impaired Students

ERIC Educational Resources Information Center

Bandyopadhyay, Subhajit; Rathod, Balraj B.

2017-01-01

An Android-based application has been developed to provide color-blind and visually impaired students a multisensory perception of color change observed in a titration. The application records and converts the color information into beep sounds and vibration pulses, which are generated by the smartphone. It uses a range threshold of hue and…

Design of a Braille Learning Application for Visually Impaired Students in Bangladesh.

PubMed

Nahar, Lutfun; Jaafar, Azizah; Ahamed, Eistiak; Kaish, A B M A

2015-01-01

Visually impaired students (VIS) are unable to get visual information, which has made their learning process complicated. This paper discusses the overall situation of VIS in Bangladesh and identifies major challenges that they are facing in getting education. The Braille system is followed to educate blind students in Bangladesh. However, lack of Braille based educational resources and technological solutions have made the learning process lengthy and complicated for VIS. As a developing country, Bangladesh cannot afford for the costly Braille related technological tools for VIS. Therefore, a mobile phone based Braille application, "mBRAILLE", for Android platform is designed to provide an easy Braille learning technology for VIS in Bangladesh. The proposed design is evaluated by experts in assistive technology for students with disabilities, and advanced learners of Braille. The application aims to provide a Bangla and English Braille learning platform for VIS. In this paper, we depict iterative (participatory) design of the application along with a preliminary evaluation with 5 blind subjects, and 1 sighted and 2 blind experts. The results show that the design scored an overall satisfaction level of 4.53 out of 5 by all respondents, indicating that our design is ready for the next step of development.

Trends in Mobile Application Development

NASA Astrophysics Data System (ADS)

Holzer, Adrian; Ondrus, Jan

Major software companies, such as Apple and Google, are disturbing the relatively safe and established actors of the mobile application business. These newcomers have caused significant structural changes by imposing and enforcing their own rules for the future of mobile application development. The implications of these changes do not only concern the mobile network operators and mobile phone manufacturers. This changed environment also brings additional opportunities and constraints for current mobile application developers. Therefore, developers need to assess what their options are and how they can take advantages of these current trends. In this paper, we take a developer’s perspective in order to explore how the structural changes will influence the mobile application development markets. Moreover, we discuss what aspects developers need to take into account in order to position themselves within the current trends.

Application of Aquaculture Monitoring System Based on CC2530

NASA Astrophysics Data System (ADS)

Chen, H. L.; Liu, X. Q.

In order to improve the intelligent level of aquaculture technology, this paper puts forward a remote wireless monitoring system based on ZigBee technology, GPRS technology and Android mobile phone platform. The system is composed of wireless sensor network (WSN), GPRS module, PC server, and Android client. The WSN was set up by CC2530 chips based on ZigBee protocol, to realize the collection of water quality parameters such as the water level, temperature, PH and dissolved oxygen. The GPRS module realizes remote communication between WSN and PC server. Android client communicates with server to monitor the level of water quality. The PID (proportion, integration, differentiation) control is adopted in the control part, the control commands from the android mobile phone is sent to the server, the server again send it to the lower machine to control the water level regulating valve and increasing oxygen pump. After practical testing to the system in Liyang, Jiangsu province, China, temperature measurement accuracy reaches 0.5°C, PH measurement accuracy reaches 0.3, water level control precision can be controlled within ± 3cm, dissolved oxygen control precision can be controlled within ±0.3 mg/L, all the indexes can meet the requirements, this system is very suitable for aquaculture.

The effect of an android-based application on the knowledge of the caregivers of children with cerebral palsy

PubMed Central

Ghazisaeedi, Marjan; Safari, Ameneh; Sheikhtaheri, Abbas; Dalvand, Hamid

2016-01-01

Background: Mobile health and e-learning may have a significant impact on training patients, physicians, students and caregivers. This study aimed to evaluate the effect of using an educational mobile application on the knowledge of the caregivers of children with cerebral palsy (CP). Methods: We used a previously developed mobile application. The knowledge of 17 caregivers of children with CP (including parents) about the daily care of their children was evaluated through a self-assessment and a test with multiple-choice and true-false questions. Next, the application, which included several educational modules for the daily care of the children with CP, was given to the caregivers to use continually for two months. After this period, the knowledge of the caregivers was evaluated by the same tools. Data analysis was performed by SPSS-16, using paired-sample t-test or Wilcoxon test. Results: The effect of the use of this educational application on the knowledge of caregivers in all childcare domains, except for eating, was reported to be significant (p<0.05). Furthermore, the results of the multiplechoice test revealed that this application increased the knowledge of caregivers in all domains except playing (p<0.05). Conclusion: Training through novel technologies such as Smartphone along with their applications can improve the knowledge of caregivers about the daily care of children with cerebral palsy. PMID:28491831

The effect of an android-based application on the knowledge of the caregivers of children with cerebral palsy.

PubMed

Ghazisaeedi, Marjan; Safari, Ameneh; Sheikhtaheri, Abbas; Dalvand, Hamid

2016-01-01

Background: Mobile health and e-learning may have a significant impact on training patients, physicians, students and caregivers. This study aimed to evaluate the effect of using an educational mobile application on the knowledge of the caregivers of children with cerebral palsy (CP). Methods: We used a previously developed mobile application. The knowledge of 17 caregivers of children with CP (including parents) about the daily care of their children was evaluated through a self-assessment and a test with multiple-choice and true-false questions. Next, the application, which included several educational modules for the daily care of the children with CP, was given to the caregivers to use continually for two months. After this period, the knowledge of the caregivers was evaluated by the same tools. Data analysis was performed by SPSS-16, using paired-sample t-test or Wilcoxon test. Results: The effect of the use of this educational application on the knowledge of caregivers in all childcare domains, except for eating, was reported to be significant (p<0.05). Furthermore, the results of the multiplechoice test revealed that this application increased the knowledge of caregivers in all domains except playing (p<0.05). Conclusion: Training through novel technologies such as Smartphone along with their applications can improve the knowledge of caregivers about the daily care of children with cerebral palsy.

Mobile application for field data collection and query: Example from wildlife research (Invited)

NASA Astrophysics Data System (ADS)

Bateman, H.; Lindquist, T.; Whitehouse, R.

2013-12-01

Field data collection is often used in many scientific disciplines and effective approaches rely on accurate data collection and recording. We designed a smartphone and tablet application (app) for field-collected data and tested it during a study on wildlife. The objective of our study was to determine the effectiveness of mobile applications in wildlife field research. Student software developers designed applications for mobile devices on the iOS and Android operating systems. Both platforms had similar user interactions via data entry on a touch screen using pre-programmed fields, checkboxes, drop-down menus, and keypad entry. The mobile application included features to insure collection of all measurements in the field through pop-up messages and could proof entries for valid formats. We used undergraduate student subjects to compare the duration of data recording and data entry, and the frequency of errors between the mobile application and traditional (paper) techniques. We field-tested the mobile application using an existing study on wildlife. From the field, technicians could query a database stored on a mobile device to view histories of previously captured animals. Overall, we found that because the mobile application allowed us to enter data in a digital format in the field we could eliminate timely steps to process handwritten data sheets and double-checking data entries. We estimated that, for a 2-month project, using the mobile application instead of traditional data entry and proofing reduced our total project time by 10%. To our knowledge, this is the first application developed for mobile devices for wildlife users interesting in viewing animal capture histories from the field and could be developed for use in other areas of field research.

Using Android and Open Data Kit Technology in Data Management for Research in Resource-Limited Settings in the Niger Delta Region of Nigeria: Cross-Sectional Household Survey

PubMed Central

Maleghemi, Sylvester

2017-01-01

Background Data collection in Sub-Saharan Africa has traditionally been paper-based. However, the popularization of Android mobile devices and data capture software has brought paperless data management within reach. We used Open Data Kit (ODK) technology on Android mobile devices during a household survey in the Niger Delta region of Nigeria. Objective The aim of this study was to describe the pros and cons of deploying ODK for data management. Methods A descriptive cross-sectional household survey was carried out by 6 data collectors between April and May 2016. Data were obtained from 1706 persons in 601 households across 6 communities in 3 states in the Niger Delta. The use of Android mobile devices and ODK technology involved form building, testing, collection, aggregation, and download for data analysis. The median duration for data collection per household and per individual was 25.7 and 9.3 min, respectively. Results Data entries per device ranged from 33 (33/1706, 1.93%) to 482 (482/1706, 28.25%) individuals between 9 (9/601, 1.5%) and 122 (122/601, 20.3%) households. The most entries (470) were made by data collector 5. Only 2 respondents had data entry errors (2/1706, 0.12%). However, 73 (73/601, 12.1%) households had inaccurate date and time entries for when data collection started and ended. The cost of deploying ODK was estimated at US $206.7 in comparison with the estimated cost of US $466.7 for paper-based data management. Conclusions We found the use of mobile data capture technology to be efficient and cost-effective. As Internet services improve in Africa, we advocate their use as effective tools for health information management. PMID:29191798

Using Android and Open Data Kit Technology in Data Management for Research in Resource-Limited Settings in the Niger Delta Region of Nigeria: Cross-Sectional Household Survey.

PubMed

Maduka, Omosivie; Akpan, Godwin; Maleghemi, Sylvester

2017-11-30

Data collection in Sub-Saharan Africa has traditionally been paper-based. However, the popularization of Android mobile devices and data capture software has brought paperless data management within reach. We used Open Data Kit (ODK) technology on Android mobile devices during a household survey in the Niger Delta region of Nigeria. The aim of this study was to describe the pros and cons of deploying ODK for data management. A descriptive cross-sectional household survey was carried out by 6 data collectors between April and May 2016. Data were obtained from 1706 persons in 601 households across 6 communities in 3 states in the Niger Delta. The use of Android mobile devices and ODK technology involved form building, testing, collection, aggregation, and download for data analysis. The median duration for data collection per household and per individual was 25.7 and 9.3 min, respectively. Data entries per device ranged from 33 (33/1706, 1.93%) to 482 (482/1706, 28.25%) individuals between 9 (9/601, 1.5%) and 122 (122/601, 20.3%) households. The most entries (470) were made by data collector 5. Only 2 respondents had data entry errors (2/1706, 0.12%). However, 73 (73/601, 12.1%) households had inaccurate date and time entries for when data collection started and ended. The cost of deploying ODK was estimated at US $206.7 in comparison with the estimated cost of US $466.7 for paper-based data management. We found the use of mobile data capture technology to be efficient and cost-effective. As Internet services improve in Africa, we advocate their use as effective tools for health information management. ©Omosivie Maduka, Godwin Akpan, Sylvester Maleghemi. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 30.11.2017.

Using an Android application to assess registration strategies in open hepatic procedures: a planning and simulation tool

NASA Astrophysics Data System (ADS)

Doss, Derek J.; Heiselman, Jon S.; Collins, Jarrod A.; Weis, Jared A.; Clements, Logan W.; Geevarghese, Sunil K.; Miga, Michael I.

2017-03-01

Sparse surface digitization with an optically tracked stylus for use in an organ surface-based image-to-physical registration is an established approach for image-guided open liver surgery procedures. However, variability in sparse data collections during open hepatic procedures can produce disparity in registration alignments. In part, this variability arises from inconsistencies with the patterns and fidelity of collected intraoperative data. The liver lacks distinct landmarks and experiences considerable soft tissue deformation. Furthermore, data coverage of the organ is often incomplete or unevenly distributed. While more robust feature-based registration methodologies have been developed for image-guided liver surgery, it is still unclear how variation in sparse intraoperative data affects registration. In this work, we have developed an application to allow surgeons to study the performance of surface digitization patterns on registration. Given the intrinsic nature of soft-tissue, we incorporate realistic organ deformation when assessing fidelity of a rigid registration methodology. We report the construction of our application and preliminary registration results using four participants. Our preliminary results indicate that registration quality improves as users acquire more experience selecting patterns of sparse intraoperative surface data.

UAV field demonstration of social media enabled tactical data link

NASA Astrophysics Data System (ADS)

Olson, Christopher C.; Xu, Da; Martin, Sean R.; Castelli, Jonathan C.; Newman, Andrew J.

2015-05-01

This paper addresses the problem of enabling Command and Control (C2) and data exfiltration functions for missions using small, unmanned, airborne surveillance and reconnaissance platforms. The authors demonstrated the feasibility of using existing commercial wireless networks as the data transmission infrastructure to support Unmanned Aerial Vehicle (UAV) autonomy functions such as transmission of commands, imagery, metadata, and multi-vehicle coordination messages. The authors developed and integrated a C2 Android application for ground users with a common smart phone, a C2 and data exfiltration Android application deployed on-board the UAVs, and a web server with database to disseminate the collected data to distributed users using standard web browsers. The authors performed a mission-relevant field test and demonstration in which operators commanded a UAV from an Android device to search and loiter; and remote users viewed imagery, video, and metadata via web server to identify and track a vehicle on the ground. Social media served as the tactical data link for all command messages, images, videos, and metadata during the field demonstration. Imagery, video, and metadata were transmitted from the UAV to the web server via multiple Twitter, Flickr, Facebook, YouTube, and similar media accounts. The web server reassembled images and video with corresponding metadata for distributed users. The UAV autopilot communicated with the on-board Android device via on-board Bluetooth network.

Utilization of Android-base Smartphone to Support Handmade Spectrophotometer : A Preliminary Study

NASA Astrophysics Data System (ADS)

Ujiningtyas, R.; Apriliani, E.; Yohana, I.; Afrillianti, L.; Hikmah, N.; Kurniawan, C.

2018-04-01

Visible spectrophotometer is a powerful instrument in chemistry. We can identify the chemical species base on their specific color and then we can also determine the amount of the species using the spectrophotometer. However, the availability of visible spectrophotometer still limited, particularly for education. This affect the skill of student to have experience on handling the instrumentation. On the other hand, the communication technology creates an opportunity for student to explore their smart feature, mainly the camera. The objective of this research is to make an application that utilize the camera feature as a detector for handmade visible spectrophotometer. The software have been made based on android program, and we name it as Spectrophone®. The spectrophotometer consists of an acrylic body, sample compartment, and light sources (USB-LED lamp powered by 6600 mAh battery). Before reach the sample, the light source was filtered using colored-mica plastic. The spectrophone® apps utilize the camera to detect the color based on its RGB composition. A different colored solution will show a different RGB composition based on the concentration and specific absorbance wavelength. We then can choose one type of color composition, R or G or B only to be converted as an absorbance using -Log (Cs/Co), where Cs and Co are color composition of sample and blank, respectively. The calibration curve of metilen blue measured. In a red (R) composition, the regression is not linear (R2=0.78) compare to the result of UV-Vis spectrophotomer model Spectroquant Pharo 300 (R2=0.8053). This measurement result shows that The Spectrophone® still need to be evaluated and corrected. One problem than can we identify that the diameter of pick point of RGB composition is too wide and this will affect the reading color composition. Next, we will fix the problem and in advance we will apply this Spectrophone® in a wide scale.

Irisin plasma concentration in PCOS and healthy subjects is related to body fat content and android fat distribution.

PubMed

Pukajło, Katarzyna; Łaczmański, Łukasz; Kolackov, Katarzyna; Kuliczkowska-Płaksej, Justyna; Bolanowski, Marek; Milewicz, Andrzej; Daroszewski, Jacek

2015-01-01

Irisin (Ir), a recently identified adipo-myokine, cleaved and secreted from the protein FNDC5 in response to physical activity, has been postulated to induce the differentiation of a subset of white adipocytes into brown fat and to mediate the beneficial effects on metabolic homeostasis. Metabolic syndrome (MS), a cluster of factors leading to impaired energy homeostasis, affects a significant proportion of subjects suffering from polycystic ovary syndrome (PCOS). The aim of our study was to investigate the relationship between Ir plasma concentrations and metabolic disturbances. The study group consisted of 179 PCOS patients and a population of 122 healthy controls (both groups aged 25-35 years). A subset of 90 subjects with MS was isolated. A positive association between Ir plasma level and MS in the whole group and in controls was found. In subjects with high adipose body content (>40%), Ir was higher than in lean persons (<30%). Our results showed a significant positive association between Ir concentration and android type of adipose tissue in the whole study group and in the control group. Understanding the role of Ir in increased energy expenditure may lead to the development of new therapeutics for obesity and obesity-related diseases.

A mHealth Application for Chronic Wound Care: Findings of a User Trial

PubMed Central

Friesen, Marcia R.; Hamel, Carole; McLeod, Robert D.

2013-01-01

This paper reports on the findings of a user trial of a mHealth application for pressure ulcer (bedsore) documentation. Pressure ulcers are a leading iatrogenic cause of death in developed countries and significantly impact quality of life for those affected. Pressure ulcers will be an increasing public health concern as the population ages. Electronic information systems are being explored to improve consistency and accuracy of documentation, improve patient and caregiver experience and ultimately improve patient outcomes. A software application was developed for Android Smartphones and tablets and was trialed in a personal care home in Western Canada. The software application provides an electronic medical record for chronic wounds, replacing nurses’ paper-based charting and is positioned for integration with facility’s larger eHealth framework. The mHealth application offers three intended benefits over paper-based charting of chronic wounds, including: (1) the capacity for remote consultation (telehealth between facilities, practitioners, and/or remote communities), (2) data organization and analysis, including built-in alerts, automatically-generated text-based and graph-based wound histories including wound images, and (3) tutorial support for non-specialized caregivers. The user trial yielded insights regarding the software application’s design and functionality in the clinical setting, and highlighted the key role of wound photographs in enhancing patient and caregiver experiences, enhancing communication between multiple healthcare professionals, and leveraging the software’s telehealth capacities. PMID:24256739

Developing and evaluating a mobile driver fatigue detection network based on electroencephalograph signals

PubMed Central

Yin, Jinghai; Mu, Zhendong

2016-01-01

The rapid development of driver fatigue detection technology indicates important significance of traffic safety. The authors’ main goals of this Letter are principally three: (i) A middleware architecture, defined as process unit (PU), which can communicate with personal electroencephalography (EEG) node (PEN) and cloud server (CS). The PU receives EEG signals from PEN, recognises the fatigue state of the driver, and transfer this information to CS. The CS sends notification messages to the surrounding vehicles. (ii) An android application for fatigue detection is built. The application can be used for the driver to detect the state of his/her fatigue based on EEG signals, and warn neighbourhood vehicles. (iii) The detection algorithm for driver fatigue is applied based on fuzzy entropy. The idea of 10-fold cross-validation and support vector machine are used for classified calculation. Experimental results show that the average accurate rate of detecting driver fatigue is about 95%, which implying that the algorithm is validity in detecting state of driver fatigue. PMID:28529761

Developing and evaluating a mobile driver fatigue detection network based on electroencephalograph signals.

PubMed

Yin, Jinghai; Hu, Jianfeng; Mu, Zhendong

2017-02-01

The rapid development of driver fatigue detection technology indicates important significance of traffic safety. The authors' main goals of this Letter are principally three: (i) A middleware architecture, defined as process unit (PU), which can communicate with personal electroencephalography (EEG) node (PEN) and cloud server (CS). The PU receives EEG signals from PEN, recognises the fatigue state of the driver, and transfer this information to CS. The CS sends notification messages to the surrounding vehicles. (ii) An android application for fatigue detection is built. The application can be used for the driver to detect the state of his/her fatigue based on EEG signals, and warn neighbourhood vehicles. (iii) The detection algorithm for driver fatigue is applied based on fuzzy entropy. The idea of 10-fold cross-validation and support vector machine are used for classified calculation. Experimental results show that the average accurate rate of detecting driver fatigue is about 95%, which implying that the algorithm is validity in detecting state of driver fatigue.

Development and Application of Microfabricated Chemical Gas Sensors For Aerospace Applications

NASA Technical Reports Server (NTRS)

Hunter, G. W.; Neudeck, P. G.; Fralick, G.; Thomas, V.; Liu, C. C.; Wu, Q. H.; Sawayda, M. S.; Jin, A.; Hammond, J.; Makel, D.;

Antimicrobial resistance dashboard application for mapping environmental occurrence and resistant pathogens.

PubMed

Stedtfeld, Robert D; Williams, Maggie R; Fakher, Umama; Johnson, Timothy A; Stedtfeld, Tiffany M; Wang, Fang; Khalife, Walid T; Hughes, Mary; Etchebarne, Brett E; Tiedje, James M; Hashsham, Syed A

2016-03-01

An antibiotic resistance (AR) Dashboard application is being developed regarding the occurrence of antibiotic resistance genes (ARG) and bacteria (ARB) in environmental and clinical settings. The application gathers and geospatially maps AR studies, reported occurrence and antibiograms, which can be downloaded for offline analysis. With the integration of multiple data sets, the database can be used on a regional or global scale to identify hot spots for ARGs and ARB; track and link spread and transmission, quantify environmental or human factors influencing presence and persistence of ARG harboring organisms; differentiate natural ARGs from those distributed via human or animal activity; cluster and compare ARGs connections in different environments and hosts; and identify genes that can be used as proxies to routinely monitor anthropogenic pollution. To initially populate and develop the AR Dashboard, a qPCR ARG array was tested with 30 surface waters, primary influent from three waste water treatment facilities, ten clinical isolates from a regional hospital and data from previously published studies including river, park soil and swine farm samples. Interested users are invited to download a beta version (available on iOS or Android), submit AR information using the application, and provide feedback on current and prospective functionalities. © FEMS 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Rain Check Application: Mobile tool to monitor rainfall in remote parts of Haiti

NASA Astrophysics Data System (ADS)

Huang, X.; Baird, J.; Chiu, M. T.; Morelli, R.; de Lanerolle, T. R.; Gourley, J. R.

2011-12-01

Rainfall observations performed uniformly and continuously over a period of time are valuable inputs in developing climate models and predicting events such as floods and droughts. Rain-Check is a mobile application developed in Google App Inventor Platform, for android based smart phones, to allow field researchers to monitor various rain gauges distributed though out remote regions of Haiti and send daily readings via SMS messages for further analysis and long term trending. Rainfall rate and quantity interact with many other factors to influence erosion, vegetative cover, groundwater recharge, stream water chemistry and runoff into streams impacting agriculture and livestock. Rainfall observation from various sites is especially significant in Haiti with over 80% of the country is mountainous terrain. Data sets from global models and limited number of ground stations do not capture the fine-scale rainfall patterns necessary to describe local climate. Placement and reading of rain gauges are critical to accurate measurement of rainfall.

Keeping Up with Healthcare Trends: IcHeart as a Medication Management Application

NASA Astrophysics Data System (ADS)

Kasinathan, Vinothini; Mustapha, Aida; Azah Samsudin, Noor

2016-11-01

According to the US governments, more than 125,000 people die each year due to failure to manage their medications, leading to approximately USD100 billion in preventable costs to healthcare systems. The core failure in medication management is attributed by patients failing to adhere their medication regimens, whether by accident, negligence, or intentional. Recognizing the importants of vigilant monitoring in medication management, this paper is set to review the latest android-based healthcare trends and propose a new mobile medication reminder application called IcHeart.

Scene text recognition in mobile applications by character descriptor and structure configuration.

PubMed

Yi, Chucai; Tian, Yingli

2014-07-01

Text characters and strings in natural scene can provide valuable information for many applications. Extracting text directly from natural scene images or videos is a challenging task because of diverse text patterns and variant background interferences. This paper proposes a method of scene text recognition from detected text regions. In text detection, our previously proposed algorithms are applied to obtain text regions from scene image. First, we design a discriminative character descriptor by combining several state-of-the-art feature detectors and descriptors. Second, we model character structure at each character class by designing stroke configuration maps. Our algorithm design is compatible with the application of scene text extraction in smart mobile devices. An Android-based demo system is developed to show the effectiveness of our proposed method on scene text information extraction from nearby objects. The demo system also provides us some insight into algorithm design and performance improvement of scene text extraction. The evaluation results on benchmark data sets demonstrate that our proposed scheme of text recognition is comparable with the best existing methods.

Bayesian accrual prediction for interim review of clinical studies: open source R package and smartphone application.

PubMed

Jiang, Yu; Guarino, Peter; Ma, Shuangge; Simon, Steve; Mayo, Matthew S; Raghavan, Rama; Gajewski, Byron J

2016-07-22

Subject recruitment for medical research is challenging. Slow patient accrual leads to increased costs and delays in treatment advances. Researchers need reliable tools to manage and predict the accrual rate. The previously developed Bayesian method integrates researchers' experience on former trials and data from an ongoing study, providing a reliable prediction of accrual rate for clinical studies. In this paper, we present a user-friendly graphical user interface program developed in R. A closed-form solution for the total subjects that can be recruited within a fixed time is derived. We also present a built-in Android system using Java for web browsers and mobile devices. Using the accrual software, we re-evaluated the Veteran Affairs Cooperative Studies Program 558- ROBOTICS study. The application of the software in monitoring and management of recruitment is illustrated for different stages of the trial. This developed accrual software provides a more convenient platform for estimation and prediction of the accrual process.

Boyer-Moore Algorithm in Retrieving Deleted Short Message Service in Android Platform

NASA Astrophysics Data System (ADS)

Rahmat, R. F.; Prayoga, D. F.; Gunawan, D.; Sitompul, O. S.

2018-02-01

Short message service (SMS) can be used as digital evidence of disclosure of crime because it can strengthen the charges against the offenders. Criminals use various ways to destroy the evidence, including by deleting SMS. On the Android OS, SMS is stored in a SQLite database file. Deletion of SMS data is not followed by bit deletion in memory so that it is possible to rediscover the deleted SMS. Based on this case, the mobile forensic needs to be done to rediscover the short message service. The proposed method in this study is Boyer-Moore algorithm for searching string matching. An auto finds feature is designed to rediscover the short message service by searching using a particular pattern to rematch a text with the result of the hex value conversion in the database file. The system will redisplay the message for each of a match. From all the testing results, the proposed method has quite a high accuracy in rediscovering the short message service using the used dataset. The search results to rediscover the deleted SMS depend on the possibility of overwriting process and the vacuum procedure on the database file.

Thermal imaging as a smartphone application: exploring and implementing a new concept

NASA Astrophysics Data System (ADS)

Yanai, Omer

2014-06-01

Today's world is going mobile. Smartphone devices have become an important part of everyday life for billions of people around the globe. Thermal imaging cameras have been around for half a century and are now making their way into our daily lives. Originally built for military applications, thermal cameras are starting to be considered for personal use, enabling enhanced vision and temperature mapping for different groups of professional individuals. Through a revolutionary concept that turns smartphones into fully functional thermal cameras, we have explored how these two worlds can converge by utilizing the best of each technology. We will present the thought process, design considerations and outcome of our development process, resulting in a low-power, high resolution, lightweight USB thermal imaging device that turns Android smartphones into thermal cameras. We will discuss the technological challenges that we faced during the development of the product, and what are the system design decisions taken during the implementation. We will provide some insights we came across during this development process. Finally, we will discuss the opportunities that this innovative technology brings to the market.

Tools for Large-Scale Mobile Malware Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bierma, Michael

Analyzing mobile applications for malicious behavior is an important area of re- search, and is made di cult, in part, by the increasingly large number of appli- cations available for the major operating systems. There are currently over 1.2 million apps available in both the Google Play and Apple App stores (the respec- tive o cial marketplaces for the Android and iOS operating systems)[1, 2]. Our research provides two large-scale analysis tools to aid in the detection and analysis of mobile malware. The rst tool we present, Andlantis, is a scalable dynamic analysis system capa- ble of processing over 3000more » Android applications per hour. Traditionally, Android dynamic analysis techniques have been relatively limited in scale due to the compu- tational resources required to emulate the full Android system to achieve accurate execution. Andlantis is the most scalable Android dynamic analysis framework to date, and is able to collect valuable forensic data, which helps reverse-engineers and malware researchers identify and understand anomalous application behavior. We discuss the results of running 1261 malware samples through the system, and provide examples of malware analysis performed with the resulting data. While techniques exist to perform static analysis on a large number of appli- cations, large-scale analysis of iOS applications has been relatively small scale due to the closed nature of the iOS ecosystem, and the di culty of acquiring appli- cations for analysis. The second tool we present, iClone, addresses the challenges associated with iOS research in order to detect application clones within a dataset of over 20,000 iOS applications.« less

The Schisto Track: A System for Gathering and Monitoring Epidemiological Surveys by Connecting Geographical Information Systems in Real Time

PubMed Central

2014-01-01

Background Using the Android platform as a notification instrument for diseases and disorders forms a new alternative for computerization of epidemiological studies. Objective The objective of our study was to construct a tool for gathering epidemiological data on schistosomiasis using the Android platform. Methods The developed application (app), named the Schisto Track, is a tool for data capture and analysis that was designed to meet the needs of a traditional epidemiological survey. An initial version of the app was finished and tested in both real situations and simulations for epidemiological surveys. Results The app proved to be a tool capable of automation of activities, with data organization and standardization, easy data recovery (to enable interfacing with other systems), and totally modular architecture. Conclusions The proposed Schisto Track is in line with worldwide trends toward use of smartphones with the Android platform for modeling epidemiological scenarios. PMID:25099881

Evaluation of smartphone sound measurement applications.

PubMed

Kardous, Chucri A; Shaw, Peter B

2014-04-01

This study reports on the accuracy of smartphone sound measurement applications (apps) and whether they can be appropriately employed for occupational noise measurements. A representative sample of smartphones and tablets on various platforms were acquired, more than 130 iOS apps were evaluated but only 10 apps met our selection criteria. Only 4 out of 62 Android apps were tested. The results showed two apps with mean differences of 0.07 dB (unweighted) and -0.52 dB (A-weighted) from the reference values. Two other apps had mean differences within ±2 dB. The study suggests that certain apps may be appropriate for use in occupational noise measurements.

Smartphone applications for seizure management.

PubMed

Pandher, Puneet Singh; Bhullar, Karamdeep Kaur

2016-06-01

Technological advancements continue to provide innovative ways of enhancing patient care in medicine. In particular, the growing popularity of smartphone technology has seen the recent emergence of a myriad of healthcare applications (or apps) that promise to help shape the way in which health information is delivered to people worldwide. While limited research already exists on a range of such apps, our study is the first to examine the salient features of smartphone applications as they apply to the area of seizure management. For the purposes of this review, we conducted a search of the official online application stores of the five major smartphone platforms: iPhone, Android, Blackberry, Windows Mobile and Nokia-Symbian. Apps were included if they reported to contain some information or tools relating to seizure management and excluded if they were aimed exclusively at health professionals. A total of 28 applications met these criteria. Overall, we found an increasing number of epilepsy apps available on the smartphone market, but with only a minority offering comprehensive educational information alongside tools such as seizure diaries, medication tracking and/or video recording. © The Author(s) 2014.

Indoor navigation by image recognition

NASA Astrophysics Data System (ADS)

Choi, Io Teng; Leong, Chi Chong; Hong, Ka Wo; Pun, Chi-Man

2017-07-01

With the progress of smartphones hardware, it is simple on smartphone using image recognition technique such as face detection. In addition, indoor navigation system development is much slower than outdoor navigation system. Hence, this research proves a usage of image recognition technique for navigation in indoor environment. In this paper, we introduced an indoor navigation application that uses the indoor environment features to locate user's location and a route calculating algorithm to generate an appropriate path for user. The application is implemented on Android smartphone rather than iPhone. Yet, the application design can also be applied on iOS because the design is implemented without using special features only for Android. We found that digital navigation system provides better and clearer location information than paper map. Also, the indoor environment is ideal for Image recognition processing. Hence, the results motivate us to design an indoor navigation system using image recognition.

Android application and REST server system for quasar spectrum presentation and analysis

NASA Astrophysics Data System (ADS)

Wasiewicz, P.; Pietralik, K.; Hryniewicz, K.

2017-08-01

This paper describes the implementation of a system consisting of a mobile application and RESTful architecture server intended for the analysis and presentation of quasars' spectrum. It also depicts the quasar's characteristics and significance to the scientific community, the source for acquiring astronomical objects' spectral data, used software solutions as well as presents the aspect of Cloud Computing and various possible deployment configurations.

Developing an Online Learning Media Using Smartphone for the Electrical Machinery Course

ERIC Educational Resources Information Center

Muchlas

2018-01-01

This research is aimed to prepare a desktop-based learning media that can be used to support an online lab activities using android smartphones in Electrical Machinery Course at the Department of Electrical Engineering for the undergraduate level. This work uses a conceptual development model which integrates some sub systems of internet…

Evaluation of an Android-based mHealth system for population surveillance in developing countries

PubMed Central

Mbugua, Samuel; Amadi, David; Chepnǵeno, Viola; Saleem, Jason J; Anokwa, Yaw; Hartung, Carl; Borriello, Gaetano; Mamlin, Burke W; Ndege, Samson K; Were, Martin C

2012-01-01

Objective In parts of the developing world traditionally modeled healthcare systems do not adequately meet the needs of the populace. This can be due to imbalances in both supply and demand—there may be a lack of sufficient healthcare and the population most at need may be unable or unwilling to take advantage of it. Home-based care has emerged as a possible mechanism to bring healthcare to the populace in a cost-effective, useful manner. This study describes the development, implementation, and evaluation of a mobile device-based system to support such services. Materials and Methods Mobile phones were utilized and a structured survey was implemented to be administered by community health workers using Open Data Kit. This system was used to support screening efforts for a population of two million persons in western Kenya. Results Users of the system felt it was easy to use and facilitated their work. The system was also more cost effective than pen and paper alternatives. Discussion This implementation is one of the largest applications of a system utilizing handheld devices for performing clinical care during home visits in a resource-constrained environment. Because the data were immediately available electronically, initial reports could be performed and important trends in data could thus be detected. This allowed adjustments to the programme to be made sooner than might have otherwise been possible. Conclusion A viable, cost-effective solution at scale has been developed and implemented for collecting electronic data during household visits in a resource-constrained setting. PMID:22366295

Application of real-time single camera SLAM technology for image-guided targeting in neurosurgery

NASA Astrophysics Data System (ADS)

Chang, Yau-Zen; Hou, Jung-Fu; Tsao, Yi Hsiang; Lee, Shih-Tseng

2012-10-01

In this paper, we propose an application of augmented reality technology for targeting tumors or anatomical structures inside the skull. The application is a combination of the technologies of MonoSLAM (Single Camera Simultaneous Localization and Mapping) and computer graphics. A stereo vision system is developed to construct geometric data of human face for registration with CT images. Reliability and accuracy of the application is enhanced by the use of fiduciary markers fixed to the skull. The MonoSLAM keeps track of the current location of the camera with respect to an augmented reality (AR) marker using the extended Kalman filter. The fiduciary markers provide reference when the AR marker is invisible to the camera. Relationship between the markers on the face and the augmented reality marker is obtained by a registration procedure by the stereo vision system and is updated on-line. A commercially available Android based tablet PC equipped with a 320×240 front-facing camera was used for implementation. The system is able to provide a live view of the patient overlaid by the solid models of tumors or anatomical structures, as well as the missing part of the tool inside the skull.

Design of Integrated Database on Mobile Information System: A Study of Yogyakarta Smart City App

NASA Astrophysics Data System (ADS)

Nurnawati, E. K.; Ermawati, E.

2018-02-01

An integration database is a database which acts as the data store for multiple applications and thus integrates data across these applications (in contrast to an Application Database). An integration database needs a schema that takes all its client applications into account. The benefit of the schema that sharing data among applications does not require an extra layer of integration services on the applications. Any changes to data made in a single application are made available to all applications at the time of database commit - thus keeping the applications’ data use better synchronized. This study aims to design and build an integrated database that can be used by various applications in a mobile device based system platforms with the based on smart city system. The built-in database can be used by various applications, whether used together or separately. The design and development of the database are emphasized on the flexibility, security, and completeness of attributes that can be used together by various applications to be built. The method used in this study is to choice of the appropriate database logical structure (patterns of data) and to build the relational-database models (Design Databases). Test the resulting design with some prototype apps and analyze system performance with test data. The integrated database can be utilized both of the admin and the user in an integral and comprehensive platform. This system can help admin, manager, and operator in managing the application easily and efficiently. This Android-based app is built based on a dynamic clientserver where data is extracted from an external database MySQL. So if there is a change of data in the database, then the data on Android applications will also change. This Android app assists users in searching of Yogyakarta (as smart city) related information, especially in culture, government, hotels, and transportation.

Cellular Automata-Based Application for Driver Assistance in Indoor Parking Areas.

PubMed

Caballero-Gil, Cándido; Caballero-Gil, Pino; Molina-Gil, Jezabel

2016-11-15

This work proposes an adaptive recommendation mechanism for smart parking that takes advantage of the popularity of smartphones and the rise of the Internet of Things. The proposal includes a centralized system to forecast available indoor parking spaces, and a low-cost mobile application to obtain data of actual and predicted parking occupancy. The described scheme uses data from both sources bidirectionally so that the centralized forecast system is fed with data obtained with the distributed system based on smartphones, and vice versa. The mobile application uses different wireless technologies to provide the forecast system with actual parking data and receive from the system useful recommendations about where to park. Thus, the proposal can be used by any driver to easily find available parking spaces in indoor facilities. The client software developed for smartphones is a lightweight Android application that supplies precise indoor positioning systems based on Quick Response codes or Near Field Communication tags, and semi-precise indoor positioning systems based on Bluetooth Low Energy beacons. The performance of the proposed approach has been evaluated by conducting computer simulations and real experimentation with a preliminary implementation. The results have shown the strengths of the proposal in the reduction of the time and energy costs to find available parking spaces.

Mobile applications for handheld devices to screen and randomize acute stroke patients in clinical trials.

PubMed

Qureshi, Ai; Connelly, B; Abbott, Ei; Maland, E; Kim, J; Blake, J

2012-08-01

The availability of internet connectivity and mobile application software used by low-power handheld devices makes smart phones of unique value in time-sensitive clinical trials. Trial-specific applications can be downloaded by investigators from various mobile software distribution platforms or web applications delivered over HTTP. The Antihypertensive Treatment in Acute Cerebral Hemorrhage (ATACH) II investigators in collaboration with MentorMate released the ATACH-II Patient Recruitment mobile application available on iPhone, Android, and Blackberry in 2011. The mobile application provides tools for pre-screening, assessment of eligibility, and randomization of patients. Since the release of ATACH-II mobile application, the CLEAR-IVH (Clot Lysis Evaluating Accelerated Resolution of Intraventricular Hemorrhage) trial investigators have also adopted such a mobile application. The video-conferencing capabilities of the most recent mobile devices open up additional opportunities to involve central coordinating centers in the recruitment process in real time.

Development of a Personal Integrated Environmental Monitoring System

PubMed Central

Wong, Man Sing; Yip, Tsan Pong; Mok, Esmond

2014-01-01

Environmental pollution in the urban areas of Hong Kong has become a serious public issue but most urban inhabitants have no means of judging their own living environment in terms of dangerous threshold and overall livability. Currently there exist many low-cost sensors such as ultra-violet, temperature and air quality sensors that provide reasonably accurate data quality. In this paper, the development and evaluation of Integrated Environmental Monitoring System (IEMS) are illustrated. This system consists of three components: (i) position determination and sensor data collection for real-time geospatial-based environmental monitoring; (ii) on-site data communication and visualization with the aid of an Android-based application; and (iii) data analysis on a web server. This system has shown to be working well during field tests in a bus journey and a construction site. It provides an effective service platform for collecting environmental data in near real-time, and raises the public awareness of environmental quality in micro-environments. PMID:25420154

Design and evaluation of a mobile application to assist the self-monitoring of the chronic kidney disease in developing countries.

PubMed

Sobrinho, Alvaro; da Silva, Leandro Dias; Perkusich, Angelo; Pinheiro, Maria Eliete; Cunha, Paulo

2018-01-12

The chronic kidney disease (CKD) is a worldwide critical problem, especially in developing countries. CKD patients usually begin their treatment in advanced stages, which requires dialysis and kidney transplantation, and consequently, affects mortality rates. This issue is faced by a mobile health (mHealth) application (app) that aims to assist the early diagnosis and self-monitoring of the disease progression. A user-centered design (UCD) approach involving health professionals (nurse and nephrologists) and target users guided the development process of the app between 2012 and 2016. In-depth interviews and prototyping were conducted along with healthcare professionals throughout the requirements elicitation process. Elicited requirements were translated into a native mHealth app targeting the Android platform. Afterward, the Cohen's Kappa coefficient statistics was applied to evaluate the agreement between the app and three nephrologists who analyzed test results collected from 60 medical records. Finally, eight users tested the app and were interviewed about usability and user perceptions. A mHealth app was designed to assist the CKD early diagnosis and self-monitoring considering quality attributes such as safety, effectiveness, and usability. A global Kappa value of 0.7119 showed a substantial degree of agreement between the app and three nephrologists. Results of face-to-face interviews with target users indicated a good user satisfaction. However, the task of CKD self-monitoring proved difficult because most of the users did not fully understand the meaning of specific biomarkers (e.g., creatinine). The UCD approach provided mechanisms to develop the app based on the real needs of users. Even with no perfect Kappa degree of agreement, results are satisfactory because it aims to refer patients to nephrologists in early stages, where they may confirm the CKD diagnosis.

Development of a Mobile App for Family Planning Providers.

PubMed

Halsall, Viannella; Rogers, Jennifer; Witt, Jacki; Song, Sejun; Nguyen, Hoang Duc Huy; Kelly, Patricia

To provide an overview of lessons learned during the development process of an app for iOS and Android based on national recommendations for providing quality family planning services. After a review of existing apps was conducted to determine whether an app of clinical recommendations for family planning existed, a team of clinicians, training specialists, and app developers created a resource app by first drafting a comprehensive content map. A prototype of the app was then pilot tested using smart tablets by a volunteer convenience sample of women's healthcare professionals. Outcomes measured included usability, acceptability, download analytics, and satisfaction by clinicians as reported through an investigator-developed tool. Sixty-nine professionals tested a prototype of the app, and completed a user satisfaction tool. Overall, user feedback was positive, and a zoom function was added to the final version as a result of the pilot test. Within 3 months of being publicly available, the app was downloaded 677 times, with 97% of downloads occurring on smart phones, 76% downloads occurring on iOS devices, and 24% on Android devices. This trend persisted throughout the following 3 months. Clinicians with an interest in developing an app should consider a team approach to development, pilot test the app prior to wider distribution, and develop a web-based version of the app to be used by clinicians who are unable to access smart devices in their practice setting.

Development of ergonomics audits for bagging, haul truck and maintenance and repair operations in mining.

PubMed

Dempsey, Patrick G; Pollard, Jonisha; Porter, William L; Mayton, Alan; Heberger, John R; Gallagher, Sean; Reardon, Leanna; Drury, Colin G

2017-12-01

The development and testing of ergonomics and safety audits for small and bulk bag filling, haul truck and maintenance and repair operations in coal preparation and mineral processing plants found at surface mine sites is described. The content for the audits was derived from diverse sources of information on ergonomics and safety deficiencies including: analysis of injury, illness and fatality data and reports; task analysis; empirical laboratory studies of particular tasks; field studies and observations at mine sites; and maintenance records. These diverse sources of information were utilised to establish construct validity of the modular audits that were developed for use by mine safety personnel. User and interrater reliability testing was carried out prior to finalising the audits. The audits can be implemented using downloadable paper versions or with a free mobile NIOSH-developed Android application called ErgoMine. Practitioner Summary: The methodology used to develop ergonomics audits for three types of mining operations is described. Various sources of audit content are compared and contrasted to serve as a guide for developing ergonomics audits for other occupational contexts.

Cellular Automata-Based Application for Driver Assistance in Indoor Parking Areas †

PubMed Central

Caballero-Gil, Cándido; Caballero-Gil, Pino; Molina-Gil, Jezabel

2016-01-01

This work proposes an adaptive recommendation mechanism for smart parking that takes advantage of the popularity of smartphones and the rise of the Internet of Things. The proposal includes a centralized system to forecast available indoor parking spaces, and a low-cost mobile application to obtain data of actual and predicted parking occupancy. The described scheme uses data from both sources bidirectionally so that the centralized forecast system is fed with data obtained with the distributed system based on smartphones, and vice versa. The mobile application uses different wireless technologies to provide the forecast system with actual parking data and receive from the system useful recommendations about where to park. Thus, the proposal can be used by any driver to easily find available parking spaces in indoor facilities. The client software developed for smartphones is a lightweight Android application that supplies precise indoor positioning systems based on Quick Response codes or Near Field Communication tags, and semi-precise indoor positioning systems based on Bluetooth Low Energy beacons. The performance of the proposed approach has been evaluated by conducting computer simulations and real experimentation with a preliminary implementation. The results have shown the strengths of the proposal in the reduction of the time and energy costs to find available parking spaces. PMID:27854282

Developing and Optimizing Applications in Hadoop

NASA Astrophysics Data System (ADS)

Kothuri, P.; Garcia, D.; Hermans, J.

2017-10-01

This contribution is about sharing our recent experiences of building Hadoop based application. Hadoop ecosystem now offers myriad of tools which can overwhelm new users, yet there are successful ways these tools can be leveraged to solve problems. We look at factors to consider when using Hadoop to model and store data, best practices for moving data in and out of the system and common processing patterns, at each stage relating with the real world experience gained while developing such application. We share many of the design choices, tools developed and how to profile a distributed application which can be applied for other scenarios as well. In conclusion, the goal of the presentation is to provide guidance to architect Hadoop based application and share some of the reusable components developed in this process.

Digital Applications Development Training Achieves Big Successes

DTIC Science & Technology

2012-01-01

required in teaching mobile application develop- ment. Therefore, for the purposes of a pilot, it was determined that ISM students were the most...likely student group to benefit from mobile application development. LTC Gregory Motes was the chief of the Infor- mation Dissemination Management...mature, organiza- tions from inside and outside of TRADOC strug- gled to master mobile application development and numerous requests were made to the

JSpOC Mission System Application Development Environment

NASA Astrophysics Data System (ADS)

Luce, R.; Reele, P.; Sabol, C.; Zetocha, P.; Echeverry, J.; Kim, R.; Golf, B.

2012-09-01

The Joint Space Operations Center (JSpOC) Mission System (JMS) is the program of record tasked with replacing the legacy Space Defense Operations Center (SPADOC) and Astrodynamics Support Workstation (ASW) capabilities by the end of FY2015 as well as providing additional Space Situational Awareness (SSA) and Command and Control (C2) capabilities post-FY2015. To meet the legacy replacement goal, the JMS program is maturing a government Service Oriented Architecture (SOA) infrastructure that supports the integration of mission applications while acquiring mature industry and government mission applications. Future capabilities required by the JSpOC after 2015 will require development of new applications and procedures as well as the exploitation of new SSA data sources. To support the post FY2015 efforts, the JMS program is partnering with the Air Force Research Laboratory (AFRL) to build a JMS application development environment. The purpose of this environment is to: 1) empower the research & development community, through access to relevant tools and data, to accelerate technology development, 2) allow the JMS program to communicate user capability priorities and requirements to the developer community, 3) provide the JMS program with access to state-of-the-art research, development, and computing capabilities, and 4) support market research efforts by identifying outstanding performers that are available to shepherd into the formal transition process. The application development environment will consist of both unclassified and classified environments that can be accessed over common networks (including the Internet) to provide software developers, scientists, and engineers everything they need (e.g., building block JMS services, modeling and simulation tools, relevant test scenarios, documentation, data sources, user priorities/requirements, and SOA integration tools) to develop and test mission applications. The developed applications will be exercised in these