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Sample records for context aware applications

  1. Context-aware workflow management of mobile health applications.

    PubMed

    Salden, Alfons; Poortinga, Remco

    2006-01-01

    We propose a medical application management architecture that allows medical (IT) experts readily designing, developing and deploying context-aware mobile health (m-health) applications or services. In particular, we elaborate on how our application workflow management architecture enables chaining, coordinating, composing, and adapting context-sensitive medical application components such that critical Quality of Service (QoS) and Quality of Context (QoC) requirements typical for m-health applications or services can be met. This functional architectural support requires learning modules for distilling application-critical selection of attention and anticipation models. These models will help medical experts constructing and adjusting on-the-fly m-health application workflows and workflow strategies. We illustrate our context-aware workflow management paradigm for a m-health data delivery problem, in which optimal communication network configurations have to be determined. PMID:17095803

  2. Context-Aware Monitoring of Untrusted Mobile Applications

    NASA Astrophysics Data System (ADS)

    Brown, Andrew; Ryan, Mark

    Current measures to enhance the security of untrusted mobile applications require a user to trust the software vendor. They do not guarantee complete protection against the behaviours that mobile malware commonly exhibits. This paper expands execution monitoring, building a more precise system to prevent mobile applications deviating from their intended functions. User judgements about program execution can be specified abstractly and compiled into a monitor capable of identifying an event’s context. We demonstrate our development of a prototype system for the BlackBerry platform and show how it can defend the device against unseen malware more effectively than existing security tools.

  3. CAreDroid: Adaptation Framework for Android Context-Aware Applications

    PubMed Central

    Elmalaki, Salma; Wanner, Lucas; Srivastava, Mani

    2015-01-01

    Context-awareness is the ability of software systems to sense and adapt to their physical environment. Many contemporary mobile applications adapt to changing locations, connectivity states, available computational and energy resources, and proximity to other users and devices. Nevertheless, there is little systematic support for context-awareness in contemporary mobile operating systems. Because of this, application developers must build their own context-awareness adaptation engines, dealing directly with sensors and polluting application code with complex adaptation decisions. In this paper, we introduce CAreDroid, which is a framework that is designed to decouple the application logic from the complex adaptation decisions in Android context-aware applications. In this framework, developers are required— only—to focus on the application logic by providing a list of methods that are sensitive to certain contexts along with the permissible operating ranges under those contexts. At run time, CAreDroid monitors the context of the physical environment and intercepts calls to sensitive methods, activating only the blocks of code that best fit the current physical context. CAreDroid is implemented as part of the Android runtime system. By pushing context monitoring and adaptation into the runtime system, CAreDroid eases the development of context-aware applications and increases their efficiency. In particular, case study applications implemented using CAre-Droid are shown to have: (1) at least half lines of code fewer and (2) at least 10× more efficient in execution time compared to equivalent context-aware applications that use only standard Android APIs. PMID:26834512

  4. Improving Understanding and Trust with Intelligibility in Context-Aware Applications

    ERIC Educational Resources Information Center

    Lim, Brian Y.

    2012-01-01

    To facilitate everyday activities, context-aware applications use sensors to detect what is happening and use increasingly complex mechanisms ( e.g., by using big rule-sets or machine learning) to infer the user's context and intent. For example, a mobile application can recognize that the user is in a conversation and suppress any incoming…

  5. Context-aware event detection smartphone application for first responders

    NASA Astrophysics Data System (ADS)

    Boddhu, Sanjay K.; Dave, Rakesh P.; McCartney, Matt; West, James A.; Williams, Robert L.

    2013-05-01

    The rise of social networking platforms like Twitter, Facebook, etc…, have provided seamless sharing of information (as chat, video and other media) among its user community on a global scale. Further, the proliferation of the smartphones and their connectivity networks has powered the ordinary individuals to share and acquire information regarding the events happening in his/her immediate vicinity in a real-time fashion. This human-centric sensed data being generated in "human-as-sensor" approach is tremendously valuable as it delivered mostly with apt annotations and ground truth that would be missing in traditional machine-centric sensors, besides high redundancy factor (same data thru multiple users). Further, when appropriately employed this real-time data can support in detecting localized events like fire, accidents, shooting, etc…, as they unfold and pin-point individuals being affected by those events. This spatiotemporal information, when made available for first responders in the event vicinity (or approaching it) can greatly assist them to make effective decisions to protect property and life in a timely fashion. In this vein, under SATE and YATE programs, the research team at AFRL Tec^Edge Discovery labs had demonstrated the feasibility of developing Smartphone applications, that can provide a augmented reality view of the appropriate detected events in a given geographical location (localized) and also provide an event search capability over a large geographic extent. In its current state, the application thru its backend connectivity utilizes a data (Text & Image) processing framework, which deals with data challenges like; identifying and aggregating important events, analyzing and correlating the events temporally and spatially and building a search enabled event database. Further, the smartphone application with its backend data processing workflow has been successfully field tested with live user generated feeds.

  6. Context-aware tunable office lighting application and user response

    NASA Astrophysics Data System (ADS)

    Chen, Nancy H.; Nawyn, Jason; Thompson, Maria; Gibbs, Julie; Larson, Kent

    2013-09-01

    LED light sources having multiple independently controllable color channels allow tuning of both the intensity and color output. Consequently, highly tailored lighting can be applied according to instantaneous user needs and preferences. Besides improving lighting performance, energy use can also be reduced since the brightest illumination is applied only when necessary. In an example application, low activity or vacant areas of a multi-zone office are lit by low power illumination, including colored light options, which can reduce energy consumption to 20-45% of typical full-time, fullbrightness, office-wide illumination. The availability of color also allows communication functions and additional aesthetic design possibilities. To reduce user burden in frequent switching between various illumination settings, an activity recognition sensor network is used to identify selected office activities. The illumination is then adjusted automatically to satisfy the needs of the occupants. A handheld mobile device provides an interactive interface for gathering user feedback regarding impressions and illumination preferences. The activity-triggered queries collect contemporaneous feedback that reduces reliance on memory; immediate previews of illumination options are also provided. Through mobile queries and post-experience interviews, user feedback was gathered regarding automation, colored lighting, and illumination preferences. Overall reaction was indicated by a range of response words such as fun, stimulating, very cool, very pleasant, enjoyed, good, comfortable, satisfactory, fine, energy saving, interesting, curious, dim, cave, isolated, distracting, and unfamiliar. Positive reaction from a meaningful, though not universal, fraction of users indicates reasonable application potential, particularly as personal preferences and control are accommodated.

  7. Context Aware Middleware Architectures: Survey and Challenges

    PubMed Central

    Li, Xin; Eckert, Martina; Martinez, José-Fernán; Rubio, Gregorio

    2015-01-01

    Context aware applications, which can adapt their behaviors to changing environments, are attracting more and more attention. To simplify the complexity of developing applications, context aware middleware, which introduces context awareness into the traditional middleware, is highlighted to provide a homogeneous interface involving generic context management solutions. This paper provides a survey of state-of-the-art context aware middleware architectures proposed during the period from 2009 through 2015. First, a preliminary background, such as the principles of context, context awareness, context modelling, and context reasoning, is provided for a comprehensive understanding of context aware middleware. On this basis, an overview of eleven carefully selected middleware architectures is presented and their main features explained. Then, thorough comparisons and analysis of the presented middleware architectures are performed based on technical parameters including architectural style, context abstraction, context reasoning, scalability, fault tolerance, interoperability, service discovery, storage, security & privacy, context awareness level, and cloud-based big data analytics. The analysis shows that there is actually no context aware middleware architecture that complies with all requirements. Finally, challenges are pointed out as open issues for future work. PMID:26307988

  8. Context Aware Middleware Architectures: Survey and Challenges.

    PubMed

    Li, Xin; Eckert, Martina; Martinez, José-Fernán; Rubio, Gregorio

    2015-01-01

    Context aware applications, which can adapt their behaviors to changing environments, are attracting more and more attention. To simplify the complexity of developing applications, context aware middleware, which introduces context awareness into the traditional middleware, is highlighted to provide a homogeneous interface involving generic context management solutions. This paper provides a survey of state-of-the-art context aware middleware architectures proposed during the period from 2009 through 2015. First, a preliminary background, such as the principles of context, context awareness, context modelling, and context reasoning, is provided for a comprehensive understanding of context aware middleware. On this basis, an overview of eleven carefully selected middleware architectures is presented and their main features explained. Then, thorough comparisons and analysis of the presented middleware architectures are performed based on technical parameters including architectural style, context abstraction, context reasoning, scalability, fault tolerance, interoperability, service discovery, storage, security & privacy, context awareness level, and cloud-based big data analytics. The analysis shows that there is actually no context aware middleware architecture that complies with all requirements. Finally, challenges are pointed out as open issues for future work. PMID:26307988

  9. Minimalism context-aware displays.

    PubMed

    Cai, Yang

    2004-12-01

    Despite the rapid development of cyber technologies, today we still have very limited attention and communication bandwidth to process the increasing information flow. The goal of the study is to develop a context-aware filter to match the information load with particular needs and capacities. The functions include bandwidth-resolution trade-off and user context modeling. From the empirical lab studies, it is found that the resolution of images can be reduced in order of magnitude if the viewer knows that he/she is looking for particular features. The adaptive display queue is optimized with real-time operational conditions and user's inquiry history. Instead of measuring operator's behavior directly, ubiquitous computing models are developed to anticipate user's behavior from the operational environment data. A case study of the video stream monitoring for transit security is discussed in the paper. In addition, the author addresses the future direction of coherent human-machine vision systems. PMID:15687797

  10. Context-Aware Recommender Systems

    NASA Astrophysics Data System (ADS)

    Adomavicius, Gediminas; Tuzhilin, Alexander

    The importance of contextual information has been recognized by researchers and practitioners in many disciplines, including e-commerce personalization, information retrieval, ubiquitous and mobile computing, data mining, marketing, and management. While a substantial amount of research has already been performed in the area of recommender systems, most existing approaches focus on recommending the most relevant items to users without taking into account any additional contextual information, such as time, location, or the company of other people (e.g., for watching movies or dining out). In this chapter we argue that relevant contextual information does matter in recommender systems and that it is important to take this information into account when providing recommendations. We discuss the general notion of context and how it can be modeled in recommender systems. Furthermore, we introduce three different algorithmic paradigms - contextual prefiltering, post-filtering, and modeling - for incorporating contextual information into the recommendation process, discuss the possibilities of combining several contextaware recommendation techniques into a single unifying approach, and provide a case study of one such combined approach. Finally, we present additional capabilities for context-aware recommenders and discuss important and promising directions for future research.

  11. Context Aware Systems, Methods and Trends in Smart Home Technology

    NASA Astrophysics Data System (ADS)

    Robles, Rosslin John; Kim, Tai-Hoon

    Context aware applications respond and adapt to changes in the computing environment. It is the concept of leveraging information about the end user to improve the quality of the interaction. New technologies in context-enriched services will use location, presence, social attributes, and other environmental information to anticipate an end user's immediate needs, offering more-sophisticated, situation-aware and usable functions. Smart homes connect all the devices and appliances in your home so they can communicate with each other and with you. Context-awareness can be applied to Smart Home technology. In this paper, we discuss the context-aware tools for development of Smart Home Systems.

  12. User Situational Context: An Essential Challenge to Context Awareness

    ERIC Educational Resources Information Center

    Mowafi, Yaser Abdallah

    2009-01-01

    Existing research on context and context awareness has broadly focused on the technical aspects of context acquisition and interpretation of users' surroundings, also called physical or sensor-based context. Such an approach has lacked from reconciling the perception of real-world context exhibited by humans, also known as user context, and…

  13. A Context-Aware Application to Increase Elderly Users Compliance with Physical Rehabilitation Exercises at Home via Animatronic Biofeedback.

    PubMed

    Gamecho, Borja; Silva, Hugo; Guerreiro, José; Gardeazabal, Luis; Abascal, Julio

    2015-11-01

    Biofeedback from physical rehabilitation exercises has proved to lead to faster recovery, better outcomes, and increased patient motivation. In addition, it allows the physical rehabilitation processes carried out at the clinic to be complemented with exercises performed at home. However, currently existing approaches rely mostly on audio and visual reinforcement cues, usually presented to the user on a computer screen or a mobile phone interface. Some users, such as elderly people, can experience difficulties to use and understand these interfaces, leading to non-compliance with the rehabilitation exercises. To overcome this barrier, latest biosignal technologies can be used to enhance the efficacy of the biofeedback, decreasing the complexity of the user interface. In this paper we propose and validate a context-aware framework for the use of animatronic biofeedback, as a way of potentially increasing the compliance of elderly users with physical rehabilitation exercises performed at home. In the scope of our work, animatronic biofeedback entails the use of pre-programmed actions on a robot that are triggered in response to certain changes detected in the users biomechanical or electrophysiological signals. We use electromyographic and accelerometer signals, collected in real time, to monitor the performance of the user while executing the exercises, and a mobile robot to provide animatronic reinforcement cues associated with their correct or incorrect execution. A context-aware application running on a smartphone aggregates the sensor data and controls the animatronic feedback. The acceptability of the animatronic biofeedback has been tested on a set of volunteer elderly users, and results suggest that the participants found the animatronic feedback engaging and of added value. PMID:26319272

  14. Context-aware modeling of neuronal morphologies

    PubMed Central

    Torben-Nielsen, Benjamin; De Schutter, Erik

    2014-01-01

    Neuronal morphologies are pivotal for brain functioning: physical overlap between dendrites and axons constrain the circuit topology, and the precise shape and composition of dendrites determine the integration of inputs to produce an output signal. At the same time, morphologies are highly diverse and variant. The variance, presumably, originates from neurons developing in a densely packed brain substrate where they interact (e.g., repulsion or attraction) with other actors in this substrate. However, when studying neurons their context is never part of the analysis and they are treated as if they existed in isolation. Here we argue that to fully understand neuronal morphology and its variance it is important to consider neurons in relation to each other and to other actors in the surrounding brain substrate, i.e., their context. We propose a context-aware computational framework, NeuroMaC, in which large numbers of neurons can be grown simultaneously according to growth rules expressed in terms of interactions between the developing neuron and the surrounding brain substrate. As a proof of principle, we demonstrate that by using NeuroMaC we can generate accurate virtual morphologies of distinct classes both in isolation and as part of neuronal forests. Accuracy is validated against population statistics of experimentally reconstructed morphologies. We show that context-aware generation of neurons can explain characteristics of variation. Indeed, plausible variation is an inherent property of the morphologies generated by context-aware rules. We speculate about the applicability of this framework to investigate morphologies and circuits, to classify healthy and pathological morphologies, and to generate large quantities of morphologies for large-scale modeling. PMID:25249944

  15. Configuring a Context-Aware Middleware for Wireless Sensor Networks

    PubMed Central

    Gámez, Nadia; Cubo, Javier; Fuentes, Lidia; Pimentel, Ernesto

    2012-01-01

    In the Future Internet, applications based on Wireless Sensor Networks will have to support reconfiguration with minimum human intervention, depending on dynamic context changes in their environment. These situations create a need for building these applications as adaptive software and including techniques that allow the context acquisition and decisions about adaptation. However, contexts use to be made up of complex information acquired from heterogeneous devices and user characteristics, making them difficult to manage. So, instead of building context-aware applications from scratch, we propose to use FamiWare, a family of middleware for Ambient Intelligence specifically designed to be aware of contexts in sensor and smartphone devices. It provides both, several monitoring services to acquire contexts from devices and users, and a context-awareness service to analyze and detect context changes. However, the current version of FamiWare does not allow the automatic incorporation related to the management of new contexts into the FamiWare family. To overcome this shortcoming, in this work, we first present how to model the context using a metamodel to define the contexts that must to be taken into account in an instantiation of FamiWare for a certain Ambient Intelligence system. Then, to configure a new context-aware version of FamiWare and to generate code ready-to-install within heterogeneous devices, we define a mapping that automatically transforms metamodel elements defining contexts into elements of the FamiWare family, and we also use the FamiWare configuration process to customize the new context-aware variant. Finally, we evaluate the benefits of our process, and we analyze both that the new version of the middleware works as expected and that it manages the contexts in an efficient way. PMID:23012505

  16. Context-Aware Personal Navigation Using Embedded Sensor Fusion in Smartphones

    PubMed Central

    Saeedi, Sara; Moussa, Adel; El-Sheimy, Naser

    2014-01-01

    Context-awareness is an interesting topic in mobile navigation scenarios where the context of the application is highly dynamic. Using context-aware computing, navigation services consider the situation of user, not only in the design process, but in real time while the device is in use. The basic idea is that mobile navigation services can provide different services based on different contexts—where contexts are related to the user's activity and the device placement. Context-aware systems are concerned with the following challenges which are addressed in this paper: context acquisition, context understanding, and context-aware application adaptation. The proposed approach in this paper is using low-cost sensors in a multi-level fusion scheme to improve the accuracy and robustness of context-aware navigation system. The experimental results demonstrate the capabilities of the context-aware Personal Navigation Systems (PNS) for outdoor personal navigation using a smartphone. PMID:24670715

  17. A wearable context aware system for ubiquitous healthcare.

    PubMed

    Kang, Dong-Oh; Lee, Hyung-Jik; Ko, Eun-Jung; Kang, Kyuchang; Lee, Jeunwoo

    2006-01-01

    Recent developments of information technologies are leading the advent of the era of ubiquitous healthcare, which means healthcare services at any time and at any places. The ubiquitous healthcare service needs a wearable system for more continual measurement of biological signals of a user, which gives information of the user from wearable sensors. In this paper, we propose a wearable context aware system for ubiquitous healthcare, and its systematic design process of a ubiquitous healthcare service. Some wearable sensor systems are introduced with Zigbee communication. We develop a context aware framework to send information from wearable sensors to healthcare service entities as a middleware to solve the interoperability problem between sensor makers and healthcare service providers. And, we propose a systematic process of design of ubiquitous healthcare services with the context aware framework. In order to show the feasibility of the proposed system, some application examples are given, which are applied to remote monitoring, and a self check service. PMID:17947132

  18. A Multi-Temporal Context-Aware System for Competences Management

    ERIC Educational Resources Information Center

    Rosa, João H.; Barbosa, Jorge L.; Kich, Marcos; Brito, Lucas

    2015-01-01

    The evolution of computing technology and wireless networks has contributed to the miniaturization of mobile devices and their increase in power, providing services anywhere and anytime. In this scenario, applications have considered the user's contexts to make decisions (Context Awareness). Context-aware applications have enabled new…

  19. Context aware adaptive security service model

    NASA Astrophysics Data System (ADS)

    Tunia, Marcin A.

    2015-09-01

    Present systems and devices are usually protected against different threats concerning digital data processing. The protection mechanisms consume resources, which are either highly limited or intensively utilized by many entities. The optimization of these resources usage is advantageous. The resources that are saved performing optimization may be utilized by other mechanisms or may be sufficient for longer time. It is usually assumed that protection has to provide specific quality and attack resistance. By interpreting context situation of business services - users and services themselves, it is possible to adapt security services parameters to countermeasure threats associated with current situation. This approach leads to optimization of used resources and maintains sufficient security level. This paper presents architecture of adaptive security service, which is context-aware and exploits quality of context data issue.

  20. Context-aware sensing of physiological signals.

    PubMed

    Wu, Winston H; Batalin, Maxim A; Au, Lawrence K; Bui, Alex A T; Kaiser, William J

    2007-01-01

    Recent advancement in microsensor technology permits miniaturization of conventional physiological sensors. Combined with low-power, energy-aware embedded systems and low power wireless interfaces, these sensors now enable patient monitoring in home and workplace environments in addition to the clinic. Low energy operation is critical for meeting typical long operating lifetime requirements. Some of these physiological sensors, such as electrocardiographs (ECG), introduce large energy demand because of the need for high sampling rate and resolution, and also introduce limitations due to reduced user wearability. In this paper, we show how context-aware sensing can provide the required monitoring capability while eliminating the need for energy-intensive continuous ECG signal acquisition. We have implemented a wearable system based on standard widely-used handheld computing hardware components. This system relies on a new software architecture and an embedded inference engine developed for these standard platforms. The performance of the system is evaluated using experimental data sets acquired for subjects wearing this system during an exercise sequence. This same approach can be used in context-aware monitoring of diverse physiological signals in a patient's daily life. PMID:18003197

  1. Solving LR Conflicts Through Context Aware Scanning

    NASA Astrophysics Data System (ADS)

    Leon, C. Rodriguez; Forte, L. Garcia

    2011-09-01

    This paper presents a new algorithm to compute the exact list of tokens expected by any LR syntax analyzer at any point of the scanning process. The lexer can, at any time, compute the exact list of valid tokens to return only tokens in this set. In the case than more than one matching token is in the valid set, the lexer can resort to a nested LR parser to disambiguate. Allowing nested LR parsing requires some slight modifications when building the LR parsing tables. We also show how LR parsers can parse conflictive and inherently ambiguous languages using a combination of nested parsing and context aware scanning. These expanded lexical analyzers can be generated from high level specifications.

  2. Technical Feasibility of a Mobile Context-Aware (Social) Learning Schedule Framework

    ERIC Educational Resources Information Center

    Yau, Jane Y. K.; Joy, Mike

    2013-01-01

    The purpose of this paper is to show the technical feasibility of implementing their mobile context-aware learning schedule (mCALS) framework as a software application on a mobile device using current technologies, prior to its actual implementation. This process draws a set of compatible mobile and context-aware technologies at present and can be…

  3. Critical Language Awareness: Implications for Classrooms in a Canadian Context.

    ERIC Educational Resources Information Center

    Labercane, George; Griffith, Bryant; Feurerverger, Grace

    This paper traces the development of Language Awareness and Critical Language Awareness from their development in the United Kingdom to the Canadian school context and beyond. The term "Language Awareness" (LA), a feature of the British educational system since the 1972 establishment of national study of literacy in classrooms in the United…

  4. Early probable Alzheimer's disease and awareness context theory.

    PubMed

    Hutchinson, S A; Leger-Krall, S; Wilson, H S

    1997-11-01

    The purpose of this research was to explore the explanatory value of Awareness Context Theory for social interactional issues in early probable Alzheimer's Disease (AD). Glaser and Strauss's Awareness Context Theory [Glaser and Strauss (1965) Awareness of Dying, Aldine, New York] served as the framework for the analysis of interview data from 14 early probable AD clients and 14 family caregivers, a written autobiographical account, a fictionalized account, observations of a family care-giver focus group, and excerpts that focused on early AD from field notes recorded during two years of participant observation at a specialized AD daycare center and a family caregiver support group. Initial open-ended study questions focused on the experience of early AD from the diverse perspectives represented in the data. After preliminary analysis of data suggesting emergent fit with Awareness Context Theory, questions were refocused to address awareness contexts. Data were coded and analyzed for fit with the theory. Awareness Context Theory provided a useful heuristic for thinking about the nuances and complexities of social interaction in early AD. Attention to awareness contexts should enable health care providers to suggest interventions to improve caregiver-client interactions. PMID:9351157

  5. Critical Language Awareness in Pedagogic Context

    ERIC Educational Resources Information Center

    Ali, Shamim

    2011-01-01

    This study was designed to investigate the significance of developing students' critical language awareness through explicit teaching methodology of some procedures of critical discourse analysis. The researcher integrated critical activities into her teaching and students' learning process. The study was planned prudently to discover the…

  6. Bluetooth-Assisted Context-Awareness in Educational Data Networks

    ERIC Educational Resources Information Center

    Gonzalez-Castano, F. J.; Garcia-Reinoso, J.; Gil-Castineira, F.; Costa-Montenegro, E.; Pousada-Carballo, J. M.

    2005-01-01

    In this paper, we propose an auxiliary "location network", to support user-independent context-awareness in educational data networks; for example, to help visitors in a museum. We assume that, in such scenarios, there exist "service servers" that need to be aware of user location in real-time. Specifically, we propose the implementation of a…

  7. Context awareness and sensitivity in SEA implementation

    SciTech Connect

    Hilding-Rydevik, Tuija Bjarnadottir, Holmfridur

    2007-10-15

    The Impact Assessment research community repeatedly asserts that the implementation of Strategic Environmental Assessment (SEA) should take the issue of context into consideration. The primary aim of this paper then is to attempt to give substance to the concept of 'context' in relation to the implementation of SEA. The second aim is to discuss the relevance of context consciousness and sensitivity in relation to one of the main aims given to SEA implementation i.e. to contribute to the 'integration' of environmental perspectives in planning processes. Context must be defined in relation to a certain question. In this paper the question in focus is the assumption that SEA implementation will contribute to integration of environmental issues in planning processes. Research results relating to the use of environmental tools, like for example SEA, and experiences of integration efforts, strongly indicate that the use of a single tool like SEA is not enough to achieve this integration. The current 'context free' normative and procedural assumptions concerning the aim of SEA implementation and 'best practice' in term of SEA can be criticised on the same grounds as normative and procedural planning theories, as being context free. The assumptions behind the current formulations of the aim and best practice of SEA need to be revisited. A firm empirical and theoretical knowledge and discussion is needed, especially in relation to the issue of context and integration. This paper provides a starting point in this direction.

  8. Management challenges of context-aware learning

    NASA Astrophysics Data System (ADS)

    Pankowska, Malgorzata

    2015-02-01

    The work covers different definitions of context and the explanation of the context value for university learning organization and management. The thesis of the paper is as follows: students' focus on sources of context has impact on their knowledge acquisition and determines students' profiles and learning process, within which the teachers support de-contextualization, i.e., generalization of experience and knowledge. The work emphasizes the meaning of mobile devices in university learning process. The paper presents the value of BYOD (bring-your-own-device) strategy at universities and opportunities for m-education. The student survey results are presented to emphasize the value of that strategy. Beyond that, the students' preferences towards open source software and open learning materials are also discussed and evaluated by student survey. Finally, the process of contextualization and de-contextualization is developed for support the learning at university level.

  9. Privacy of Value-Added Context-Aware Service Cloud

    NASA Astrophysics Data System (ADS)

    Huang, Xin; He, Yin; Hou, Yifan; Li, Lisi; Sun, Lan; Zhang, Sina; Jiang, Yang; Zhang, Tingting

    In the cloud computing era, service provider cloud and context service cloud store all your personal context data. This is a positive aspect for value-added context-aware service cloud as it makes that context information collection are easier than was the case previously. However, this computing environment does add a series of threats in relation to privacy protection. Whoever receives the context information is able to deduce the status of the owners and, generally owners are not happy to share this information. In this paper, we propose a privacy preserved framework which can be utilized by value-added context-aware service cloud. Context data and related services access privileges are determined by context-aware role-based access control (CRAC) extended from role-based access control (RAC). Privacy preserved context service protocol (PPCS) is designed to protect user privacy from exposed context information. Additionally, user network and information diffusion is combined to evaluate the privacy protection effect.

  10. Context-Aware Reviewer Assignment for Trust Enhanced Peer Review.

    PubMed

    Li, Lei; Wang, Yan; Liu, Guanfeng; Wang, Meng; Wu, Xindong

    2015-01-01

    Reviewer assignment is critical to peer review systems, such as peer-reviewed research conferences or peer-reviewed funding applications, and its effectiveness is a deep concern of all academics. However, there are some problems in existing peer review systems during reviewer assignment. For example, some of the reviewers are much more stringent than others, leading to an unfair final decision, i.e., some submissions (i.e., papers or applications) with better quality are rejected. In this paper, we propose a context-aware reviewer assignment for trust enhanced peer review. More specifically, in our approach, we first consider the research area specific expertise of reviewers, and the institution relevance and co-authorship between reviewers and authors, so that reviewers with the right expertise are assigned to the corresponding submissions without potential conflict of interest. In addition, we propose a novel cross-assignment paradigm, and reviewers are cross-assigned in order to avoid assigning a group of stringent reviewers or a group of lenient reviewers to the same submission. More importantly, on top of them, we propose an academic CONtext-aware expertise relevanCe oriEnted Reviewer cross-assignmenT approach (CONCERT), which aims to effectively estimate the "true" ratings of submissions based on the ratings from all reviewers, even though no prior knowledge exists about the distribution of stringent reviewers and lenient reviewers. The experiments illustrate that compared with existing approaches, our proposed CONCERT approach can less likely assign more than one stringent reviewers or lenient reviewers to a submission simultaneously and significantly reduce the influence of ratings from stringent reviewers and lenient reviewers, leading to trust enhanced peer review and selection, no matter what kind of distributions of stringent reviewers and lenient reviewers are. PMID:26090849

  11. Context-Aware Reviewer Assignment for Trust Enhanced Peer Review

    PubMed Central

    Li, Lei; Wang, Yan; Liu, Guanfeng; Wang, Meng; Wu, Xindong

    2015-01-01

    Reviewer assignment is critical to peer review systems, such as peer-reviewed research conferences or peer-reviewed funding applications, and its effectiveness is a deep concern of all academics. However, there are some problems in existing peer review systems during reviewer assignment. For example, some of the reviewers are much more stringent than others, leading to an unfair final decision, i.e., some submissions (i.e., papers or applications) with better quality are rejected. In this paper, we propose a context-aware reviewer assignment for trust enhanced peer review. More specifically, in our approach, we first consider the research area specific expertise of reviewers, and the institution relevance and co-authorship between reviewers and authors, so that reviewers with the right expertise are assigned to the corresponding submissions without potential conflict of interest. In addition, we propose a novel cross-assignment paradigm, and reviewers are cross-assigned in order to avoid assigning a group of stringent reviewers or a group of lenient reviewers to the same submission. More importantly, on top of them, we propose an academic CONtext-aware expertise relevanCe oriEnted Reviewer cross-assignmenT approach (CONCERT), which aims to effectively estimate the “true” ratings of submissions based on the ratings from all reviewers, even though no prior knowledge exists about the distribution of stringent reviewers and lenient reviewers. The experiments illustrate that compared with existing approaches, our proposed CONCERT approach can less likely assign more than one stringent reviewers or lenient reviewers to a submission simultaneously and significantly reduce the influence of ratings from stringent reviewers and lenient reviewers, leading to trust enhanced peer review and selection, no matter what kind of distributions of stringent reviewers and lenient reviewers are. PMID:26090849

  12. Context-Aware Adaptation in Web-Based Groupware Systems

    NASA Astrophysics Data System (ADS)

    Pinheiro, Manuele Kirsch; Carrillo-Ramos, Angela; Villanova-Oliver, Marlène; Gensel, Jérôme; Berbers, Yolande

    In this chapter, we propose a context-aware filtering process for adapting content delivered to mobile users by Web-based Groupware Systems. This process is based on context-aware profiles, expressing mobile users preferences for particular situations they encounter when using these systems. These profiles, which are shared between members of a given community, are exploited by the adaptation process in order to select and organize the delivered information into several levels of detail, based on a progressive access model. By defining these profiles, we propose a filtering process that considers both the user's current context and the user's preferences for this context. The context notion of context is represented by an object-oriented model we propose and which takes into account consideration both the user's physical and collaborative context, including elements related to collaborative activities performed inside the groupware system. The filtering process selects, in a first step, the context-aware profiles that match the user's current context, and then it filters the available content according to the selected profiles and uses the progressive access model to organize the selected information.

  13. Context-Aware Scientific Workflow Systems using KEPLER

    SciTech Connect

    Ngu, Anne H.; Jamnagarwala, Arwa; Chin, George; Sivaramakrishnan, Chandrika; Critchlow, Terence J.

    2010-04-01

    Data-intensive scientific workflows are often modeled using a dataflow-oriented model. The simplicity of a dataflow model facilitates intuitive workflow design, analysis, and optimization. However, some amount of control-flow modeling is often necessary for engineering fault-tolerant, robust, and adaptive workflows. Modeling the control-flow using inherent dataflow constructs will quickly end up with a workflow that is hard to comprehend, reuse, and maintain. In this paper, we propose a context-aware architecture for scientific workflows. By incorporating contexts within a data-flow oriented scientific workflow system, we enable the development of context-aware scientific workflows without the need to use numerous low-level control-flow actors. This results in a workflow that is aware of its environment during execution with minimal user input and responds intelligently based on such awareness at runtime. A further advantage of our approach is that the defined contexts can be reused and shared across other workflows. We demonstrate our approach with two prototype implementation of context-aware actors in KEPLER.

  14. Spatio-Temporal Reasoning and Context Awareness

    NASA Astrophysics Data System (ADS)

    Guesgen, Hans W.; Marsland, Stephen

    Smart homes provide many research challenges, but some of the most interesting ones are in dealing with data that monitors human behaviour and that is inherently both spatial and temporal in nature. This means that context becomes all important: a person lying down in front of the fireplace could be perfectly normal behaviour if it was cold and the fire was on, but otherwise it is unusual. In this example, the context can include temporal resolution on various scales (it is winter and therefore probably cold, it is not nighttime when the person would be expected to be in bed rather than the living room) as well as spatial (the person is lying in front of the fireplace) and extra information such as whether or not the fire is lit. It could also include information about how they reached their current situation: if they went from standing to lying very suddenly there would be rather more cause for concern than if they first knelt down and then lowered themselves onto the floor. Representing all of these different temporal and spatial aspects together is a major challenge for smart home research. In this chapter we will provide an overview of some of the methodologies that can be used to deal with these problems. We will also outline our own research agenda in the Massey University Smart Environments (MUSE) group.

  15. Context-Aware Online Commercial Intention Detection

    NASA Astrophysics Data System (ADS)

    Hu, Derek Hao; Shen, Dou; Sun, Jian-Tao; Yang, Qiang; Chen, Zheng

    With more and more commercial activities moving onto the Internet, people tend to purchase what they need through Internet or conduct some online research before the actual transactions happen. For many Web users, their online commercial activities start from submitting a search query to search engines. Just like the common Web search queries, the queries with commercial intention are usually very short. Recognizing the queries with commercial intention against the common queries will help search engines provide proper search results and advertisements, help Web users obtain the right information they desire and help the advertisers benefit from the potential transactions. However, the intentions behind a query vary a lot for users with different background and interest. The intentions can even be different for the same user, when the query is issued in different contexts. In this paper, we present a new algorithm framework based on skip-chain conditional random field (SCCRF) for automatically classifying Web queries according to context-based online commercial intention. We analyze our algorithm performance both theoretically and empirically. Extensive experiments on several real search engine log datasets show that our algorithm can improve more than 10% on F1 score than previous algorithms on commercial intention detection.

  16. A Framework for Context-Aware Adaptation in Public Displays

    NASA Astrophysics Data System (ADS)

    Cardoso, Jorge C. S.; José, Rui

    Several approaches for context-aware public display systems exist but none has been able to bridge the gap between the myriad of possible interactive features of a display and adaptation rules for its content. In this paper, we propose a framework of digital footprints generated by the interaction with public displays that can be used as a means to dynamically characterise a place. We describe these footprints, how they can be generated and how they can be used by context-aware display systems to adapt to the social environment of a place.

  17. Context-aware adaptive spelling in motor imagery BCI

    NASA Astrophysics Data System (ADS)

    Perdikis, S.; Leeb, R.; Millán, J. d. R.

    2016-06-01

    Objective. This work presents a first motor imagery-based, adaptive brain–computer interface (BCI) speller, which is able to exploit application-derived context for improved, simultaneous classifier adaptation and spelling. Online spelling experiments with ten able-bodied users evaluate the ability of our scheme, first, to alleviate non-stationarity of brain signals for restoring the subject’s performances, second, to guide naive users into BCI control avoiding initial offline BCI calibration and, third, to outperform regular unsupervised adaptation. Approach. Our co-adaptive framework combines the BrainTree speller with smooth-batch linear discriminant analysis adaptation. The latter enjoys contextual assistance through BrainTree’s language model to improve online expectation-maximization maximum-likelihood estimation. Main results. Our results verify the possibility to restore single-sample classification and BCI command accuracy, as well as spelling speed for expert users. Most importantly, context-aware adaptation performs significantly better than its unsupervised equivalent and similar to the supervised one. Although no significant differences are found with respect to the state-of-the-art PMean approach, the proposed algorithm is shown to be advantageous for 30% of the users. Significance. We demonstrate the possibility to circumvent supervised BCI recalibration, saving time without compromising the adaptation quality. On the other hand, we show that this type of classifier adaptation is not as efficient for BCI training purposes.

  18. Intelligent Context-Aware and Adaptive Interface for Mobile LBS

    PubMed Central

    Feng, Jiangfan; Liu, Yanhong

    2015-01-01

    Context-aware user interface plays an important role in many human-computer Interaction tasks of location based services. Although spatial models for context-aware systems have been studied extensively, how to locate specific spatial information for users is still not well resolved, which is important in the mobile environment where location based services users are impeded by device limitations. Better context-aware human-computer interaction models of mobile location based services are needed not just to predict performance outcomes, such as whether people will be able to find the information needed to complete a human-computer interaction task, but to understand human processes that interact in spatial query, which will in turn inform the detailed design of better user interfaces in mobile location based services. In this study, a context-aware adaptive model for mobile location based services interface is proposed, which contains three major sections: purpose, adjustment, and adaptation. Based on this model we try to describe the process of user operation and interface adaptation clearly through the dynamic interaction between users and the interface. Then we show how the model applies users' demands in a complicated environment and suggested the feasibility by the experimental results. PMID:26457077

  19. A Context Awareness System for Online Learning: Design Based Research

    ERIC Educational Resources Information Center

    Laffey, James; Amelung, Chris; Goggins, Sean

    2009-01-01

    A design based research strategy examining the impressions and behavior of members of courses taught entirely online is used for refining a context-aware activity notification system (CANS). The findings show that CANS must address substantial variety in courses and members while also fitting with multitasking between online and real world…

  20. Pragmatic Awareness in ESL and EFL Contexts: Contrast and Development

    ERIC Educational Resources Information Center

    Schauer, Gila A.

    2006-01-01

    The study reported on in this article set out to replicate and extend Bardovi-Harlig and Dornyei's (1998) investigation of pragmatic awareness by addressing two research questions: (a) Do learners in English as a foreign language (EFL) and English as a second language (ESL) contexts display differences in their recognition and rating of pragmatic…

  1. On Living Together Unmarried: Awareness Contexts and Social Interaction.

    ERIC Educational Resources Information Center

    Jackson, Patrick G.

    1983-01-01

    Examines the practice of cohabitation. A survey of 19 married and five unmarried former cohabiters suggests that cohabitation is a gradual movement characterized by opportunity isolated from immediate social controls. The decision to marry is influenced by reactions of others and problems associated with awareness contexts. (Author/JAC)

  2. A Context-Aware Solution in Mobile Language Learning

    ERIC Educational Resources Information Center

    Fatahipour, Majid; Ghaseminajm, Mahnaz

    2014-01-01

    Despite obvious benefits, some challenges exist in the way of sustainable utilization of mobile phone technology for language learning tasks. This paper shows how these challenges can be better addressed in the light of recent advancements in mobile phone technology, like context aware mobile learning, informed with a sound pedagogical basis for…

  3. Advanced medical video services through context-aware medical networks.

    PubMed

    Doukas, Charalampos N; Maglogiannis, Ilias; Pliakas, Thomas

    2007-01-01

    The aim of this paper is to present a framework for advanced medical video delivery services, through network and patient-state awareness. Under this scope a context-aware medical networking platform is described. The developed platform enables proper medical video data coding and transmission according to both a) network availability and/or quality and b) patient status, optimizing thus network performance and telediagnosis. An evaluation platform has been developed based on scalable H.264 coding of medical videos. Corresponding results of video transmission over a WiMax network have proved the effectiveness and efficiency of the platform providing proper video content delivery. PMID:18002643

  4. From Genre Awareness to Cross-Genre Awareness: A Study in an EFL Context

    ERIC Educational Resources Information Center

    Yayli, Demet

    2011-01-01

    This study aims to capture both how the participants' genre awareness becomes embedded in their stances through genre-based writing instruction in an EFL context and also how viable multi-genre portfolio use is in genre-based EFL writing instruction. The qualitative data were gathered from several sources: (1) the participants' annotations of…

  5. Review of game theory applications for situation awareness

    NASA Astrophysics Data System (ADS)

    Blasch, Erik; Shen, Dan; Pham, Khanh D.; Chen, Genshe

    2015-05-01

    Game theoretical methods have been used for spectral awareness, space situational awareness (SSA), cyber situational awareness (CSA), and Intelligence, Surveillance, and Reconnaissance situation awareness (ISA). Each of these cases, awareness is supported by sensor estimation for assessment and the situation is determined from the actions of multiple players. Game theory assumes rational actors in a defined scenario; however, variations in social, cultural and behavioral factors include the dynamic nature of the context. In a dynamic data-driven application system (DDDAS), modeling must include both the measurements but also how models are used by different actors with different priorities. In this paper, we highlight the applications of game theory by reviewing the literature to determine the current state of the art and future needs. Future developments would include building towards knowledge awareness with information technology (e.g., data aggregation, access, indexing); multiscale analysis (e.g., space, time, and frequency), and software methods (e.g., architectures, cloud computing, protocols).

  6. A Study on Automated Context-aware Access Control Model Using Ontology

    NASA Astrophysics Data System (ADS)

    Jang, Bokman; Jang, Hyokyung; Choi, Euiin

    Applications in context-aware computing environment will be connected wireless network and various devices. According to, recklessness access of information resource can make trouble of system. So, access authority management is very important issue both information resource and adapt to system through founding security policy of needed system. But, existing security model is easy of approach to resource through simply user ID and password. This model has a problem that is not concerned about user's environment information. In this paper, propose model of automated context-aware access control using ontology that can more efficiently control about resource through inference and judgment of context information that collect user's information and user's environment context information in order to ontology modeling.

  7. A Context-Aware Ubiquitous Learning Environment for Conducting Complex Science Experiments

    ERIC Educational Resources Information Center

    Hwang, Gwo-Jen; Yang, Tzu-Chi; Tsai, Chin-Chung; Yang, Stephen J. H.

    2009-01-01

    Context-aware ubiquitous learning (u-learning) is an innovative approach that integrates wireless, mobile, and context-awareness technologies to detect the situation of learners in the real world and provide adaptive support or guidance accordingly. In this paper, a context-aware u-learning environment is developed for guiding inexperienced…

  8. Context-Aware Resource Management in Heterogenous Smart Environments

    NASA Astrophysics Data System (ADS)

    Roy, Abhishek; Saxena, Navrati; Shin, Jitae

    An information-theoretic, optimal framework is developed for tracking the residents in a Context-aware Heterogenous Smart Environment. The resident-tracking problem is formulated in terms of weighted entropy. The framework provides an optimal, online learning and prediction of users movement, location as well as most probable path segments from the symbolic domain. Successful prediction helps in on-demand operations of automated indoor devices along the users future paths and locations, thus providing the necessary comfort at a near-optimal cost. Simulation results corroborate the high prediction success, thereby providing resident-comfort while reducing energy consumption and manual operations.

  9. Agent-Based Support for Context-Aware Provisioning of IMS-Enabled Ubiquitous Services

    NASA Astrophysics Data System (ADS)

    Petric, Ana; Trzec, Krunoslav; Jurasovic, Kresimir; Podobnik, Vedran; Jezic, Gordan; Kusek, Mario; Ljubi, Igor

    Multimedia applications executed on mobile devices allow users to be present and communicate with other users, anywhere and anytime, through wide area cellular networks, wireless local area networks (WLAN), or fixed networks. In order to enable ubiquitous personalized services, communication systems should allow users to specify their context, or their mobile devices and network infrastructures should automatically sense their context and offer enhanced service provisioning solutions. In this paper, we propose an agent-based solution that supports context-aware provisioning of IP multimedia subsystem (IMS)-enabled ubiquitous services. Using agent technology, multimedia communication, controlled by SIP and enriched with context-related events delivered by SIP's event mechanism, can be seamlessly provisioned, taking into account not only mobility issues and context-awareness, but also the semantics of exchanged events. This paper proposes a multi-agent system that will enable users to consume context-aware ubiquitous services in a seamless (i.e., automated) way, providing optimal provisioning of SIP-based multimedia services according to user preferences.

  10. A methodology and a web platform for the collaborative development of context-aware systems.

    PubMed

    Martín, David; López-de-Ipiña, Diego; Alzua-Sorzabal, Aurkene; Lamsfus, Carlos; Torres-Manzanera, Emilio

    2013-01-01

    Information and services personalization is essential for an optimal user experience. Systems have to be able to acquire data about the user's context, process them in order to identify the user's situation and finally, adapt the functionality of the system to that situation, but the development of context-aware systems is complex. Data coming from distributed and heterogeneous sources have to be acquired, processed and managed. Several programming frameworks have been proposed in order to simplify the development of context-aware systems. These frameworks offer high-level application programming interfaces for programmers that complicate the involvement of domain experts in the development life-cycle. The participation of users that do not have programming skills but are experts in the application domain can speed up and improve the development process of these kinds of systems. Apart from that, there is a lack of methodologies to guide the development process. This article presents as main contributions, the implementation and evaluation of a web platform and a methodology to collaboratively develop context-aware systems by programmers and domain experts. PMID:23666131

  11. A Methodology and a Web Platform for the Collaborative Development of Context-Aware Systems

    PubMed Central

    Martín, David; López-de-Ipiña, Diego; Alzua-Sorzabal, Aurkene; Lamsfus, Carlos; Torres-Manzanera, Emilio

    2013-01-01

    Information and services personalization is essential for an optimal user experience. Systems have to be able to acquire data about the user's context, process them in order to identify the user's situation and finally, adapt the functionality of the system to that situation, but the development of context-aware systems is complex. Data coming from distributed and heterogeneous sources have to be acquired, processed and managed. Several programming frameworks have been proposed in order to simplify the development of context-aware systems. These frameworks offer high-level application programming interfaces for programmers that complicate the involvement of domain experts in the development life-cycle. The participation of users that do not have programming skills but are experts in the application domain can speed up and improve the development process of these kinds of systems. Apart from that, there is a lack of methodologies to guide the development process. This article presents as main contributions, the implementation and evaluation of a web platform and a methodology to collaboratively develop context-aware systems by programmers and domain experts. PMID:23666131

  12. Situation awareness and virtual globes: Applications for disaster management

    NASA Astrophysics Data System (ADS)

    Tomaszewski, Brian

    2011-01-01

    This paper presents research on the use of virtual globes to support the development of disaster event situation awareness in humans via open source information analysis and visualization. The key technology used for this research is the Context Discovery Application (CDA), which is a geovisual analytic environment designed to integrate implicit geographic information with Google Earth™. A case study of humanitarian disaster management is used to demonstrate the unique abilities of the CDA and Google Earth TM to support situation awareness. The paper provides some of the first empirical evidence on the utility of the virtual globes to support situation awareness for disaster management using implicit geographic information. The evidence presented was derived from evaluations by disaster management practitioners at the United Nations (UN) ReliefWeb project, an extremely relevant, yet difficult group to access for conducting academic disaster management research. Finally, ideas for future research on developing virtual globe applications to support situation awareness are described.

  13. Induction of Kanizsa Contours Requires Awareness of the Inducing Context.

    PubMed

    Banica, Theodora; Schwarzkopf, D Samuel

    2016-01-01

    It remains unknown to what extent the human visual system interprets information about complex scenes without conscious analysis. Here we used visual masking techniques to assess whether illusory contours (Kanizsa shapes) are perceived when the inducing context creating this illusion does not reach awareness. In the first experiment we tested perception directly by having participants discriminate the orientation of an illusory contour. In the second experiment, we exploited the fact that the presence of an illusory contour enhances performance on a spatial localization task. Moreover, in the latter experiment we also used a different masking method to rule out the effect of stimulus duration. Our results suggest that participants do not perceive illusory contours when they are unaware of the inducing context. This is consistent with theories of a multistage, recurrent process of perceptual integration. Our findings thus challenge some reports, including those from neurophysiological experiments in anaesthetized animals. Furthermore, we discuss the importance to test the presence of the phenomenal percept directly with appropriate methods. PMID:27518569

  14. Induction of Kanizsa Contours Requires Awareness of the Inducing Context

    PubMed Central

    Banica, Theodora; Schwarzkopf, D. Samuel

    2016-01-01

    It remains unknown to what extent the human visual system interprets information about complex scenes without conscious analysis. Here we used visual masking techniques to assess whether illusory contours (Kanizsa shapes) are perceived when the inducing context creating this illusion does not reach awareness. In the first experiment we tested perception directly by having participants discriminate the orientation of an illusory contour. In the second experiment, we exploited the fact that the presence of an illusory contour enhances performance on a spatial localization task. Moreover, in the latter experiment we also used a different masking method to rule out the effect of stimulus duration. Our results suggest that participants do not perceive illusory contours when they are unaware of the inducing context. This is consistent with theories of a multistage, recurrent process of perceptual integration. Our findings thus challenge some reports, including those from neurophysiological experiments in anaesthetized animals. Furthermore, we discuss the importance to test the presence of the phenomenal percept directly with appropriate methods. PMID:27518569

  15. Interactive Urban Context-Aware Visualization via Multiple Disocclusion Operators.

    PubMed

    Deng, Hao; Zhang, Liqiang; Mao, Xiancheng; Qu, Huamin

    2016-07-01

    In 3D urban environments, features of interest (FOIs) are often occluded by clusters of buildings, which prevent a clear overview of important spatial features. State-of-the-art disocclusion methods for urban environments fall short of preserving cityscape appearance or require time-consuming computation. These methods use only one or two operators for disocclusion and might not strike a good balance between disocclusion and distortion control. We present a novel, automatic method enabling interactive context-aware visualization of urban features of interest, which combines four effective disocclusion operators including viewpoint elevation, road shifting, building scaling, and building displacement to disocclude the features of interest. Our method provides an optimum compromise among the disocclusion operators via an efficient constrained optimization and the post-polishing phrases, which minimizes the distortions while enforcing the visibility of the FOIs. The 3D views generated at interactive frame rates ensure a resemblance in the cityscape appearance to its original ones and provide a good overview of the FOIs. The experiments with real data demonstrate that our method can greatly facilitate tasks such as navigation, wayfinding, and information overlay. PMID:27244709

  16. Enabling network-aware applications

    SciTech Connect

    Tierney, Brian L.; Gunter, Dan; Lee, Jason; Stouffer, Martin

    2001-08-01

    Many high performance distributed applications use only a small fraction of their available bandwidth. A common cause of this problem is not a flaw in the application design, but rather improperly tuned network settings. Proper tuning techniques, such as setting the correct TCP buffers and using parallel streams, are well known in the networking community, but outside the networking community they are infrequently applied. In this paper, we describe a service that makes the task of network tuning trivial for application developers and users. Widespread use of this service should virtually eliminate a common stumbling block for high performance distributed applications.

  17. Development Context Driven Change Awareness and Analysis Framework

    NASA Technical Reports Server (NTRS)

    Sarma, Anita; Branchaud, Josh; Dwyer, Matthew B.; Person, Suzette; Rungta, Neha; Wang, Yurong; Elbaum, Sebastian

    2014-01-01

    Recent work on workspace monitoring allows conflict prediction early in the development process, however, these approaches mostly use syntactic differencing techniques to compare different program versions. In contrast, traditional change-impact analysis techniques analyze related versions of the program only after the code has been checked into the master repository. We propose a novel approach, DeCAF (Development Context Analysis Framework), that leverages the development context to scope a change impact analysis technique. The goal is to characterize the impact of each developer on other developers in the team. There are various client applications such as task prioritization, early conflict detection, and providing advice on testing that can benefit from such a characterization. The DeCAF framework leverages information from the development context to bound the iDiSE change impact analysis technique to analyze only the parts of the code base that are of interest. Bounding the analysis can enable DeCAF to efficiently compute the impact of changes using a combination of program dependence and symbolic execution based approaches.

  18. Development Context Driven Change Awareness and Analysis Framework

    NASA Technical Reports Server (NTRS)

    Sarma, Anita; Branchaud, Josh; Dwyer, Matthew B.; Person, Suzette; Rungta, Neha

    2014-01-01

    Recent work on workspace monitoring allows conflict prediction early in the development process, however, these approaches mostly use syntactic differencing techniques to compare different program versions. In contrast, traditional change-impact analysis techniques analyze related versions of the program only after the code has been checked into the master repository. We propose a novel approach, De- CAF (Development Context Analysis Framework), that leverages the development context to scope a change impact analysis technique. The goal is to characterize the impact of each developer on other developers in the team. There are various client applications such as task prioritization, early conflict detection, and providing advice on testing that can benefit from such a characterization. The DeCAF framework leverages information from the development context to bound the iDiSE change impact analysis technique to analyze only the parts of the code base that are of interest. Bounding the analysis can enable DeCAF to efficiently compute the impact of changes using a combination of program dependence and symbolic execution based approaches.

  19. Using Context-Aware Ubiquitous Learning to Support Students' Understanding of Geometry

    ERIC Educational Resources Information Center

    Crompton, Helen

    2015-01-01

    In this study, context-aware ubiquitous learning was used to support 4th grade students as they learn angle concepts. Context-aware ubiquitous learning was provided to students primarily through the use of iPads to access real-world connections and a Dynamic Geometry Environment. Gravemeijer and van Eerde's (2009), design-based research (DBR)…

  20. Learning in a u-Museum: Developing a Context-Aware Ubiquitous Learning Environment

    ERIC Educational Resources Information Center

    Chen, Chia-Chen; Huang, Tien-Chi

    2012-01-01

    Context-awareness techniques can support learners in learning without time or location constraints by using mobile devices and associated learning activities in a real learning environment. Enrichment of context-aware technologies has enabled students to learn in an environment that integrates learning resources from both the real world and the…

  1. Developing a Survey for Assessing Preferences in Constructivist Context-Aware Ubiquitous Learning Environments

    ERIC Educational Resources Information Center

    Tsai, P.-S.; Tsai, C.-C.; Hwang, G.-J.

    2012-01-01

    This study developed a survey to explore students' preferences in constructivist context-aware ubiquitous learning environments. A constructivist context-aware ubiquitous learning (u-learning) environment survey (CULES) was developed, consisting of eight scales, including ease of use, continuity, relevance, adaptive content, multiple sources,…

  2. A Heuristic Algorithm for Planning Personalized Learning Paths for Context-Aware Ubiquitous Learning

    ERIC Educational Resources Information Center

    Hwang, Gwo-Jen; Kuo, Fan-Ray; Yin, Peng-Yeng; Chuang, Kuo-Hsien

    2010-01-01

    In a context-aware ubiquitous learning environment, learning systems can detect students' learning behaviors in the real-world with the help of context-aware (sensor) technology; that is, students can be guided to observe or operate real-world objects with personalized support from the digital world. In this study, an optimization problem that…

  3. An Expert System-based Context-Aware Ubiquitous Learning Approach for Conducting Science Learning Activities

    ERIC Educational Resources Information Center

    Wu, Po-Han; Hwang, Gwo-Jen; Tsai, Wen-Hung

    2013-01-01

    Context-aware ubiquitous learning has been recognized as being a promising approach that enables students to interact with real-world learning targets with supports from the digital world. Several researchers have indicated the importance of providing learning guidance or hints to individual students during the context-aware ubiquitous learning…

  4. Teacher Diversity Awareness in the Context of Changing Demographics

    ERIC Educational Resources Information Center

    Acquah, Emmanuel O.; Tandon, Madhavi; Lempinen, Sonia

    2016-01-01

    This study examined awareness of and knowledge of how to address increasing linguistic and cultural diversity among 89 teachers in an ethnically and racially diverse school located in Southwest Finland. The empirical evidence suggests that in a school with many years of experience with a diverse student population the levels of awareness and…

  5. An Architecture and Supporting Environment of Service-Oriented Computing Based-On Context Awareness

    NASA Astrophysics Data System (ADS)

    Ma, Tianxiao; Wu, Gang; Huang, Jun

    Service-oriented computing (SOC) is emerging to be an important computing paradigm of the next future. Based on context awareness, this paper proposes an architecture of SOC. A definition of the context in open environments such as Internet is given, which is based on ontology. The paper also proposes a supporting environment for the context-aware SOC, which focus on services on-demand composition and context-awareness evolving. A reference implementation of the supporting environment based on OSGi[11] is given at last.

  6. Context-Aware Based Efficient Training System Using Augmented Reality and Gravity Sensor for Healthcare Services

    NASA Astrophysics Data System (ADS)

    Kim, Seoksoo; Jung, Sungmo; Song, Jae-Gu; Kang, Byong-Ho

    As augmented reality and a gravity sensor is of growing interest, siginificant developement is being made on related technology, which allows application of the technology in a variety of areas with greater expectations. In applying Context-aware to augmented reality, it can make useful programs. A traning system suggested in this study helps a user to understand an effcienct training method using augmented reality and make sure if his exercise is being done propery based on the data collected by a gravity sensor. Therefore, this research aims to suggest an efficient training environment that can enhance previous training methods by applying augmented reality and a gravity sensor.

  7. An Infrastructure to Enable Lightweight Context-Awareness for Mobile Users

    PubMed Central

    Curiel, Pablo; Lago, Ana B.

    2013-01-01

    Mobile phones enable us to carry out a wider range of tasks every day, and as a result they have become more ubiquitous than ever. However, they are still more limited in terms of processing power and interaction capabilities than traditional computers, and the often distracting and time-constricted scenarios in which we use them do not help in alleviating these limitations. Context-awareness is a valuable technique to address these issues, as it enables to adapt application behaviour to each situation. In this paper we present a context management infrastructure for mobile environments, aimed at controlling context information life-cycle in this kind of scenarios, with the main goal of enabling application and services to adapt their behaviour to better meet end-user needs. This infrastructure relies on semantic technologies and open standards to improve interoperability, and is based on a central element, the context manager. This element acts as a central context repository and takes most of the computational burden derived from dealing with this kind of information, thus relieving from these tasks to more resource-scarce devices in the system. PMID:23899932

  8. An infrastructure to enable lightweight context-awareness for mobile users.

    PubMed

    Curiel, Pablo; Lago, Ana B

    2013-01-01

    Mobile phones enable us to carry out a wider range of tasks every day, and as a result they have become more ubiquitous than ever. However, they are still more limited in terms of processing power and interaction capabilities than traditional computers, and the often distracting and time-constricted scenarios in which we use them do not help in alleviating these limitations. Context-awareness is a valuable technique to address these issues, as it enables to adapt application behaviour to each situation. In this paper we present a context management infrastructure for mobile environments, aimed at controlling context information life-cycle in this kind of scenarios, with the main goal of enabling application and services to adapt their behaviour to better meet end-user needs. This infrastructure relies on semantic technologies and open standards to improve interoperability, and is based on a central element, the context manager. This element acts as a central context repository and takes most of the computational burden derived from dealing with this kind of information, thus relieving from these tasks to more resource-scarce devices in the system. PMID:23899932

  9. Modeling Battery Behavior on Sensory Operations for Context-Aware Smartphone Sensing

    PubMed Central

    Yurur, Ozgur; Liu, Chi Harold; Moreno, Wilfrido

    2015-01-01

    Energy consumption is a major concern in context-aware smartphone sensing. This paper first studies mobile device-based battery modeling, which adopts the kinetic battery model (KiBaM), under the scope of battery non-linearities with respect to variant loads. Second, this paper models the energy consumption behavior of accelerometers analytically and then provides extensive simulation results and a smartphone application to examine the proposed sensor model. Third, a Markov reward process is integrated to create energy consumption profiles, linking with sensory operations and their effects on battery non-linearity. Energy consumption profiles consist of different pairs of duty cycles and sampling frequencies during sensory operations. Furthermore, the total energy cost by each profile is represented by an accumulated reward in this process. Finally, three different methods are proposed on the evolution of the reward process, to present the linkage between different usage patterns on the accelerometer sensor through a smartphone application and the battery behavior. By doing this, this paper aims at achieving a fine efficiency in power consumption caused by sensory operations, while maintaining the accuracy of smartphone applications based on sensor usages. More importantly, this study intends that modeling the battery non-linearities together with investigating the effects of different usage patterns in sensory operations in terms of the power consumption and the battery discharge may lead to discovering optimal energy reduction strategies to extend the battery lifetime and help a continual improvement in context-aware mobile services. PMID:26016916

  10. Context-Aware Users' Preference Models by Integrating Real and Supposed Situation Data

    NASA Astrophysics Data System (ADS)

    Ono, Chihiro; Takishima, Yasuhiro; Motomura, Yoichi; Asoh, Hideki; Shinagawa, Yasuhide; Imai, Michita; Anzai, Yuichiro

    This paper proposes a novel approach of constructing statistical preference models for context-aware personalized applications such as recommender systems. In constructing context-aware statistical preference models, one of the most important but difficult problems is acquiring a large amount of training data in various contexts/situations. In particular, some situations require a heavy workload to set them up or to collect subjects capable of answering the inquiries under those situations. Because of this difficulty, it is usually done to simply collect a small amount of data in a real situation, or to collect a large amount of data in a supposed situation, i.e., a situation that the subject pretends that he is in the specific situation to answer inquiries. However, both approaches have problems. As for the former approach, the performance of the constructed preference model is likely to be poor because the amount of data is small. For the latter approach, the data acquired in the supposed situation may differ from that acquired in the real situation. Nevertheless, the difference has not been taken seriously in existing researches. In this paper we propose methods of obtaining a better preference model by integrating a small amount of real situation data with a large amount of supposed situation data. The methods are evaluated using data regarding food preferences. The experimental results show that the precision of the preference model can be improved significantly.

  11. A Scalable Context-Aware Objective Function (SCAOF) of Routing Protocol for Agricultural Low-Power and Lossy Networks (RPAL).

    PubMed

    Chen, Yibo; Chanet, Jean-Pierre; Hou, Kun-Mean; Shi, Hongling; de Sousa, Gil

    2015-01-01

    In recent years, IoT (Internet of Things) technologies have seen great advances, particularly, the IPv6 Routing Protocol for Low-power and Lossy Networks (RPL), which provides a powerful and flexible routing framework that can be applied in a variety of application scenarios. In this context, as an important role of IoT, Wireless Sensor Networks (WSNs) can utilize RPL to design efficient routing protocols for a specific application to increase the ubiquity of networks with resource-constrained WSN nodes that are low-cost and easy to deploy. In this article, our work starts with the description of Agricultural Low-power and Lossy Networks (A-LLNs) complying with the LLN framework, and to clarify the requirements of this application-oriented routing solution. After a brief review of existing optimization techniques for RPL, our contribution is dedicated to a Scalable Context-Aware Objective Function (SCAOF) that can adapt RPL to the environmental monitoring of A-LLNs, through combining energy-aware, reliability-aware, robustness-aware and resource-aware contexts according to the composite routing metrics approach. The correct behavior of this enhanced RPL version (RPAL) was verified by performance evaluations on both simulation and field tests. The obtained experimental results confirm that SCAOF can deliver the desired advantages on network lifetime extension, and high reliability and efficiency in different simulation scenarios and hardware testbeds. PMID:26266411

  12. A Scalable Context-Aware Objective Function (SCAOF) of Routing Protocol for Agricultural Low-Power and Lossy Networks (RPAL)

    PubMed Central

    Chen, Yibo; Chanet, Jean-Pierre; Hou, Kun-Mean; Shi, Hongling; de Sousa, Gil

    2015-01-01

    In recent years, IoT (Internet of Things) technologies have seen great advances, particularly, the IPv6 Routing Protocol for Low-power and Lossy Networks (RPL), which provides a powerful and flexible routing framework that can be applied in a variety of application scenarios. In this context, as an important role of IoT, Wireless Sensor Networks (WSNs) can utilize RPL to design efficient routing protocols for a specific application to increase the ubiquity of networks with resource-constrained WSN nodes that are low-cost and easy to deploy. In this article, our work starts with the description of Agricultural Low-power and Lossy Networks (A-LLNs) complying with the LLN framework, and to clarify the requirements of this application-oriented routing solution. After a brief review of existing optimization techniques for RPL, our contribution is dedicated to a Scalable Context-Aware Objective Function (SCAOF) that can adapt RPL to the environmental monitoring of A-LLNs, through combining energy-aware, reliability-aware, robustness-aware and resource-aware contexts according to the composite routing metrics approach. The correct behavior of this enhanced RPL version (RPAL) was verified by performance evaluations on both simulation and field tests. The obtained experimental results confirm that SCAOF can deliver the desired advantages on network lifetime extension, and high reliability and efficiency in different simulation scenarios and hardware testbeds. PMID:26266411

  13. A Three-Dimensional Context-Awareness Model for Peer Recommendation in the E-Learning Context

    ERIC Educational Resources Information Center

    Zheng, Yanlin; Li, Luyi

    2008-01-01

    It is widely recognized that peer interaction is valuable for improving learning and achievement. This article proposes a three-dimensional context-awareness (CA) model to help learners in distributed e-learning settings to find suitable peers for potential collaboration. Based on the recognition of the e-learning context that involves the…

  14. Study on the Context-Aware Middleware for Ubiquitous Greenhouses Using Wireless Sensor Networks

    PubMed Central

    Hwang, Jeonghwang; Yoe, Hyun

    2011-01-01

    Wireless Sensor Network (WSN) technology is one of the important technologies to implement the ubiquitous society, and it could increase productivity of agricultural and livestock products, and secure transparency of distribution channels if such a WSN technology were successfully applied to the agricultural sector. Middleware, which can connect WSN hardware, applications, and enterprise systems, is required to construct ubiquitous agriculture environment combining WSN technology with agricultural sector applications, but there have been insufficient studies in the field of WSN middleware in the agricultural environment, compared to other industries. This paper proposes a context-aware middleware to efficiently process data collected from ubiquitous greenhouses by applying WSN technology and used to implement combined services through organic connectivity of data. The proposed middleware abstracts heterogeneous sensor nodes to integrate different forms of data, and provides intelligent context-aware, event service, and filtering functions to maximize operability and scalability of the middleware. To evaluate the performance of the middleware, an integrated management system for ubiquitous greenhouses was implemented by applying the proposed middleware to an existing greenhouse, and it was tested by measuring the level of load through CPU usage and the response time for users’ requests when the system is working. PMID:22163861

  15. Application-Aware Dynamic Retransmission Control in Mobile Cellular Networks

    NASA Astrophysics Data System (ADS)

    Halima, Nadhir Ben; Kliazovich, Dzmitry; Granelli, Fabrizio

    This paper proposes an application-aware cross-layer approach between application/transport layers on the mobile terminal and link layer at the wireless base station to enable dynamic control on the strength of per-packet error protection for multimedia and data transfers. Specifically, in the context of cellular networks, the proposed scheme allows to control the desired level of Hybrid ARQ (HARQ) protection by using an in-band control feedback channel. Such protection is dynamically adapted on a per-packet basis and depends on the perceptual importance of different packets as well as on the reception history of the flow.

  16. Metacognitive Awareness of Reading Strategies: An Indian Context

    ERIC Educational Resources Information Center

    Pinninti, Lakshmana Rao

    2016-01-01

    Over the last four decades, there has been a substantial body of research on metacognitive awareness of reading strategies. However, very few studies have focused on stage-wise frequency (pre-, while- and post-reading) and conditional knowledge of reading strategies. The purpose of this paper is to report stage-wise frequency and conditional…

  17. A Quality of Context-Aware Approach to Access Control in Pervasive Environments

    NASA Astrophysics Data System (ADS)

    Toninelli, Alessandra; Corradi, Antonio; Montanari, Rebecca

    The widespread diffusion of wireless-enabled portable devices creates novel opportunities for users to share resources anywhere and anytime, but makes access control a crucial issue. User/device mobility and heterogeneity, together with network topology and conditions variability, complicate access control and call for novel solutions to dynamically adapt access decisions to the different operating conditions. Several research efforts have emerged in recent years that propose to exploit context-awareness to control access to resources based on context visibility and changes. Context-based access control requires, however, to take into account the quality of context information used to drive access decisions (QoC). Quality of context has in fact a profound impact on the correct behavior of any context-aware access control framework. Using context information with insufficient quality might increase the risk of incorrect access control decisions, thus leading to dangerous security breaches in resource sharing. In this paper we propose a QoC-aware approach to access control for anywhere, anytime resource sharing. The paper describes the design, implementation and evaluation of the Proteus policy framework, which combines two design guidelines to enable dynamic adaptation of policies depending on context changes: context-awareness with QoC guarantees and semantic technologies to allow high-level description of context/policy specification and reasoning about context/policies.

  18. Personalized Context-Aware Collaborative Filtering Based on Neural Network and Slope One

    NASA Astrophysics Data System (ADS)

    Gao, Min; Wu, Zhongfu

    Currently, context has been identified as an important factor in recommender systems. Lots of researches have been done for context-aware collaborative filtering (CF) recommendation, but the contextual parameters in current approaches have same weights for all users. In this paper we propose an approach to learn the weights of contextual parameters for every user based on back-propagation (BP) neural network (NN). Then we present how to predict ratings based on well-known Slope One CF to achieve personalized context-aware (PC-aware) recommendation. Finally, we experimentally evaluate our approach and compare it to Slope One and context-aware CF. The experiment shows that our approach provide better recommendation results than them.

  19. Towards a flexible middleware for context-aware pervasive and wearable systems.

    PubMed

    Muro, Marco; Amoretti, Michele; Zanichelli, Francesco; Conte, Gianni

    2012-11-01

    Ambient intelligence and wearable computing call for innovative hardware and software technologies, including a highly capable, flexible and efficient middleware, allowing for the reuse of existing pervasive applications when developing new ones. In the considered application domain, middleware should also support self-management, interoperability among different platforms, efficient communications, and context awareness. In the on-going "everything is networked" scenario scalability appears as a very important issue, for which the peer-to-peer (P2P) paradigm emerges as an appealing solution for connecting software components in an overlay network, allowing for efficient and balanced data distribution mechanisms. In this paper, we illustrate how all these concepts can be placed into a theoretical tool, called networked autonomic machine (NAM), implemented into a NAM-based middleware, and evaluated against practical problems of pervasive computing. PMID:22527692

  20. Context-Aware Intelligent Assistant Approach to Improving Pilot's Situational Awareness

    NASA Technical Reports Server (NTRS)

    Spirkovska, Lilly; Lodha, Suresh K.

    2004-01-01

    Faulty decision making due to inaccurate or incomplete awareness of the situation tends to be the prevailing cause of fatal general aviation accidents. Of these accidents, loss of weather situational awareness accounts for the largest number of fatalities. We describe a method for improving weather situational awareness through the support of a contextaware,domain and task knowledgeable, personalized and adaptive assistant. The assistant automatically monitors weather reports for the pilot's route of flight and warns her of detected anomalies. When and how warnings are issued is determined by phase of flight, the pilot s definition of acceptable weather conditions, and the pilot's preferences for automatic notification. In addition to automatic warnings, the pilot is able to verbally query for weather and airport information. By noting the requests she makes during the approach phase of flight, our system learns to provide the information without explicit requests on subsequent flights with similar conditions. We show that our weather assistant decreases the effort required to maintain situational awareness by more than 5.5 times when compared to the conventional method of in-flight weather briefings.

  1. A Context-Aware Self-Adaptive Fractal Based Generalized Pedagogical Agent Framework for Mobile Learning

    ERIC Educational Resources Information Center

    Boulehouache, Soufiane; Maamri, Ramdane; Sahnoun, Zaidi

    2015-01-01

    The Pedagogical Agents (PAs) for Mobile Learning (m-learning) must be able not only to adapt the teaching to the learner knowledge level and profile but also to ensure the pedagogical efficiency within unpredictable changing runtime contexts. Therefore, to deal with this issue, this paper proposes a Context-aware Self-Adaptive Fractal Component…

  2. A Knowledge-Based Approach to Retrieving Teaching Materials for Context-Aware Learning

    ERIC Educational Resources Information Center

    Shih, Wen-Chung; Tseng, Shian-Shyong

    2009-01-01

    With the rapid development of wireless communication and sensor technologies, ubiquitous learning has become a promising solution to educational problems. In context-aware ubiquitous learning environments, it is required that learning content is retrieved according to environmental contexts, such as learners' location. Also, a learning content…

  3. Context-Aware Adaptive Hybrid Semantic Relatedness in Biomedical Science

    NASA Astrophysics Data System (ADS)

    Emadzadeh, Ehsan

    Text mining of biomedical literature and clinical notes is a very active field of research in biomedical science. Semantic analysis is one of the core modules for different Natural Language Processing (NLP) solutions. Methods for calculating semantic relatedness of two concepts can be very useful in solutions solving different problems such as relationship extraction, ontology creation and question / answering [1--6]. Several techniques exist in calculating semantic relatedness of two concepts. These techniques utilize different knowledge sources and corpora. So far, researchers attempted to find the best hybrid method for each domain by combining semantic relatedness techniques and data sources manually. In this work, attempts were made to eliminate the needs for manually combining semantic relatedness methods targeting any new contexts or resources through proposing an automated method, which attempted to find the best combination of semantic relatedness techniques and resources to achieve the best semantic relatedness score in every context. This may help the research community find the best hybrid method for each context considering the available algorithms and resources.

  4. Context-aware patch-based image inpainting using Markov random field modeling.

    PubMed

    Ružić, Tijana; Pižurica, Aleksandra

    2015-01-01

    In this paper, we first introduce a general approach for context-aware patch-based image inpainting, where textural descriptors are used to guide and accelerate the search for well-matching (candidate) patches. A novel top-down splitting procedure divides the image into variable size blocks according to their context, constraining thereby the search for candidate patches to nonlocal image regions with matching context. This approach can be employed to improve the speed and performance of virtually any (patch-based) inpainting method. We apply this approach to the so-called global image inpainting with the Markov random field (MRF) prior, where MRF encodes a priori knowledge about consistency of neighboring image patches. We solve the resulting optimization problem with an efficient low-complexity inference method. Experimental results demonstrate the potential of the proposed approach in inpainting applications like scratch, text, and object removal. Improvement and significant acceleration of a related global MRF-based inpainting method is also evident. PMID:25420260

  5. Flexible Macroblock Ordering for Context-Aware Ultrasound Video Transmission over Mobile WiMAX

    PubMed Central

    Martini, Maria G.; Hewage, Chaminda T. E. R.

    2010-01-01

    The most recent network technologies are enabling a variety of new applications, thanks to the provision of increased bandwidth and better management of Quality of Service. Nevertheless, telemedical services involving multimedia data are still lagging behind, due to the concern of the end users, that is, clinicians and also patients, about the low quality provided. Indeed, emerging network technologies should be appropriately exploited by designing the transmission strategy focusing on quality provision for end users. Stemming from this principle, we propose here a context-aware transmission strategy for medical video transmission over WiMAX systems. Context, in terms of regions of interest (ROI) in a specific session, is taken into account for the identification of multiple regions of interest, and compression/transmission strategies are tailored to such context information. We present a methodology based on H.264 medical video compression and Flexible Macroblock Ordering (FMO) for ROI identification. Two different unequal error protection methodologies, providing higher protection to the most diagnostically relevant data, are presented. PMID:20827292

  6. Flexible Macroblock Ordering for Context-Aware Ultrasound Video Transmission over Mobile WiMAX.

    PubMed

    Martini, Maria G; Hewage, Chaminda T E R

    2010-01-01

    The most recent network technologies are enabling a variety of new applications, thanks to the provision of increased bandwidth and better management of Quality of Service. Nevertheless, telemedical services involving multimedia data are still lagging behind, due to the concern of the end users, that is, clinicians and also patients, about the low quality provided. Indeed, emerging network technologies should be appropriately exploited by designing the transmission strategy focusing on quality provision for end users. Stemming from this principle, we propose here a context-aware transmission strategy for medical video transmission over WiMAX systems. Context, in terms of regions of interest (ROI) in a specific session, is taken into account for the identification of multiple regions of interest, and compression/transmission strategies are tailored to such context information. We present a methodology based on H.264 medical video compression and Flexible Macroblock Ordering (FMO) for ROI identification. Two different unequal error protection methodologies, providing higher protection to the most diagnostically relevant data, are presented. PMID:20827292

  7. Locality Aware Concurrent Start for Stencil Applications

    SciTech Connect

    Shrestha, Sunil; Gao, Guang R.; Manzano Franco, Joseph B.; Marquez, Andres; Feo, John T.

    2015-02-10

    Stencil computations are at the heart of many physical simulations used in scientific codes. Thus, there exists a plethora of optimization efforts for this family of computations. Among these techniques, tiling techniques that allow concurrent start have proven to be very efficient in providing better performance for these critical kernels. Nevertheless, with many core designs being the norm, these optimization techniques might not be able to fully exploit locality (both spatial and temporal) on multiple levels of the memory hierarchy without compromising parallelism. It is no longer true that the machine can be seen as a homogeneous collection of nodes with caches, main memory and an interconnect network. New architectural designs exhibit complex grouping of nodes, cores, threads, caches and memory connected by an ever evolving network-on-chip design. These new designs may benefit greatly from carefully crafted schedules and groupings that encourage parallel actors (i.e. threads, cores or nodes) to be aware of the computational history of other actors in close proximity. In this paper, we provide an efficient tiling technique that allows hierarchical concurrent start for memory hierarchy aware tile groups. Each execution schedule and tile shape exploit the available parallelism, load balance and locality present in the given applications. We demonstrate our technique on the Intel Xeon Phi architecture with selected and representative stencil kernels. We show improvement ranging from 5.58% to 31.17% over existing state-of-the-art techniques.

  8. Understanding Social Disparities in Hypertension Prevalence, Awareness, Treatment, and Control: The Role of Neighborhood Context

    PubMed Central

    House, James S; Hansen, Ben B; Williams, David R; Kaplan, George A; Hunte, Haslyn E

    2007-01-01

    The spatial segregation of the U.S. population by socioeconomic position and especially race-ethnicity suggests that the social contexts or “neighborhoods” in which people live may substantially contribute to social disparities in hypertension. The Chicago Community Adult Health Study did face-to-face interviews, including direct measurement of blood pressure, with a representative probability sample of adults in Chicago. These data were used to estimate socioeconomic and racial-ethnic disparities in the prevalence, awareness, treatment, and control of hypertension, and to analyze how these disparities are related to the areas in which people live. Hypertension was significantly negatively associated with neighborhood affluence/gentrification, and adjustments for context eliminated the highly significant disparity between blacks/African-Americans and whites, and reduced the significant educational disparity by 10–15% to borderline statistical significance. Awareness of hypertension was significantly higher in more disadvantaged neighborhoods and in places with higher concentrations of blacks (and lower concentrations of Hispanics and immigrants). Adjustment for context completely eliminated blacks’ greater awareness, but slightly accentuated the lesser awareness of Hispanics and the greater levels of awareness among the less educated. There was no consistent evidence of either social disparities in or contextual associations with treatment of hypertension, given awareness. Among those on medication, blacks were only 40–50% as likely as whites to have their hypertension controlled, but context played little or no role in either the level of or disparities in control of hypertension. In sum, residential contexts potentially play a large role in accounting for racial-ethnic, and to a lesser degree, socioeconomic disparities in hypertension prevalence and, in a different way, awareness, but not in treatment or control of diagnosed hypertension. PMID:17640788

  9. Understanding social disparities in hypertension prevalence, awareness, treatment, and control: the role of neighborhood context.

    PubMed

    Morenoff, Jeffrey D; House, James S; Hansen, Ben B; Williams, David R; Kaplan, George A; Hunte, Haslyn E

    2007-11-01

    The spatial segregation of the US population by socioeconomic position and especially race/ethnicity suggests that the social contexts or "neighborhoods" in which people live may substantially contribute to social disparities in hypertension. The Chicago Community Adult Health Study did face-to-face interviews, including direct measurement of blood pressure, with a representative probability sample of adults in Chicago. These data were used to estimate socioeconomic and racial-ethnic disparities in the prevalence, awareness, treatment, and control of hypertension, and to analyze how these disparities are related to the areas in which people live. Hypertension was significantly negatively associated with neighborhood affluence/gentrification, and adjustments for context eliminated the highly significant disparity between blacks/African-Americans and whites, and reduced the significant educational disparity by 10-15% to borderline statistical significance. Awareness of hypertension was significantly higher in more disadvantaged neighborhoods and in places with higher concentrations of blacks (and lower concentrations of Hispanics and immigrants). Adjustment for context completely eliminated blacks' greater awareness, but slightly accentuated the lesser awareness of Hispanics and the greater levels of awareness among the less educated. There was no consistent evidence of either social disparities in or contextual associations with treatment of hypertension, given awareness. Among those on medication, blacks were only 40-50% as likely as whites to have their hypertension controlled, but context played little or no role in either the level of or disparities in control of hypertension. In sum, residential contexts potentially play a large role in accounting for racial/ethnic and, to a lesser degree, socioeconomic disparities in hypertension prevalence and, in a different way, awareness, but not in treatment or control of diagnosed hypertension. PMID:17640788

  10. Context-Aware Design for Process Flexibility and Adaptation

    ERIC Educational Resources Information Center

    Yao, Wen

    2012-01-01

    Today's organizations face continuous and unprecedented changes in their business environment. Traditional process design tools tend to be inflexible and can only support rigidly defined processes (e.g., order processing in the supply chain). This considerably restricts their real-world applications value, especially in the dynamic and…

  11. Network Awareness in P2P-TV Applications

    NASA Astrophysics Data System (ADS)

    Traverso, Stefano; Leonardi, Emilio; Mellia, Marco; Meo, Michela

    The increasing popularity of applications for video-streaming based on P2P paradigm (P2P-TV) is raising the interest of both broadcasters and network operators. The former see a promising technology to reduce the cost of streaming content over the Internet, while offering a world-wide service. The latter instead fear that the traffic offered by these applications can grow without control, affecting other services, and possibly causing network congestion and collapse. The “Network-Aware P2P-TV Application over Wise Networks” FP7 project aims at studying and developing a novel P2P-TV application offering the chance to broadcast high definition video to broadcasters and to carefully manage the traffic offered by peers to the network, therefore avoiding worries to Internet providers about network overload. In such context, we design a simulator to evaluate performance of different P2P-TV solutions, to compare them both considering end-users’ and network providers’ perspectives, such as quality of service perceived by subscribers and link utilization. In this paper, we provide some results that show how effective can be a network aware P2P-TV system.

  12. FleXConf: A Flexible Conference Assistant Using Context-Aware Notification Services

    NASA Astrophysics Data System (ADS)

    Armenatzoglou, Nikos; Marketakis, Yannis; Kriara, Lito; Apostolopoulos, Elias; Papavasiliou, Vicky; Kampas, Dimitris; Kapravelos, Alexandros; Kartsonakis, Eythimis; Linardakis, Giorgos; Nikitaki, Sofia; Bikakis, Antonis; Antoniou, Grigoris

    Integrating context-aware notification services to ubiquitous computing systems aims at the provision of the right information to the right users, at the right time, in the right place, and on the right device, and constitutes a significant step towards the realization of the Ambient Intelligence vision. In this paper, we present FlexConf, a semantics-based system that supports location-based, personalized notification services for the assistance of conference attendees. Its special features include an ontology-based representation model, rule-based context-aware reasoning, and a novel positioning system for indoor environments.

  13. Context-aware Augmented Reality in laparoscopic surgery.

    PubMed

    Katić, Darko; Wekerle, Anna-Laura; Görtler, Jochen; Spengler, Patrick; Bodenstedt, Sebastian; Röhl, Sebastian; Suwelack, Stefan; Kenngott, Hannes Götz; Wagner, Martin; Müller-Stich, Beat Peter; Dillmann, Rüdiger; Speidel, Stefanie

    2013-03-01

    Augmented Reality is a promising paradigm for intraoperative assistance. Yet, apart from technical issues, a major obstacle to its clinical application is the man-machine interaction. Visualization of unnecessary, obsolete or redundant information may cause confusion and distraction, reducing usefulness and acceptance of the assistance system. We propose a system capable of automatically filtering available information based on recognized phases in the operating room. Our system offers a specific selection of available visualizations which suit the surgeon's needs best. The system was implemented for use in laparoscopic liver and gallbladder surgery and evaluated in phantom experiments in conjunction with expert interviews. PMID:23541864

  14. ACCADA: A Framework for Continuous Context-Aware Deployment and Adaptation

    NASA Astrophysics Data System (ADS)

    Gui, Ning; de Florio, Vincenzo; Sun, Hong; Blondia, Chris

    Software systems are increasingly expected to dynamically self-adapt to the changing environments. One of the principle adaptation mechanisms is dynamic recomposition of application components. This paper addresses the key issues that arise when external context knowledge is used to steer the run-time (re)composition process. In order to integrate such knowledge into this process, A Continuous Context-Aware Deployment and Adaptation (ACCADA) framework is proposed. To support run-time component composition, the essential runtime abstractions of the underlying component model are studied. By using a layered modeling approach, our framework gradually incorporates design-time as well as run-time knowledge into the component composition process. Service orientation is employed to facilitate the changes of adaptation policy. Results show that our framework has significant advantages over traditional approaches in light of flexibility, resource usage and lines of code. Although our experience was done based on the OSGi middleware, we believe our findings to be general to other architecture-based management systems.

  15. A practical indoor context-aware surveillance system with multi-Kinect sensors

    NASA Astrophysics Data System (ADS)

    Jia, Lili; You, Ying; Li, Tiezhu; Zhang, Shun

    2014-11-01

    In this paper we develop a novel practical application, which give scalable services to the end users when abnormal actives are happening. Architecture of the application has been presented consisting of network infrared cameras and a communication module. In this intelligent surveillance system we use Kinect sensors as the input cameras. Kinect is an infrared laser camera which its user can access the raw infrared sensor stream. We install several Kinect sensors in one room to track the human skeletons. Each sensor returns the body positions with 15 coordinates in its own coordinate system. We use calibration algorithms to calibrate all the body positions points into one unified coordinate system. With the body positions points, we can infer the surveillance context. Furthermore, the messages from the metadata index matrix will be sent to mobile phone through communication module. User will instantly be aware of an abnormal case happened in the room without having to check the website. In conclusion, theoretical analysis and experimental results in this paper show that the proposed system is reasonable and efficient. And the application method introduced in this paper is not only to discourage the criminals and assist police in the apprehension of suspects, but also can enabled the end-users monitor the indoor environments anywhere and anytime by their phones.

  16. Effects of attention to and awareness of preceding context tones on auditory streaming.

    PubMed

    Weintraub, David M; Metzger, Brian A; Snyder, Joel S

    2014-04-01

    This study determined whether facilitation of auditory stream segregation could occur when facilitating context tones are accompanied by other sounds. Facilitation was measured as the likelihood of a repeated context tone that could match the low (A) or high (B) frequency of a repeating ABA test to increase the likelihood of hearing the test as segregated. We observed this type of facilitation when matching tones were alone, or with simultaneous bandpass noises or continuous speech, neither of which masked the tones. However, participants showed no streaming facilitation when a harmonic complex masked the context tones. Mistuning or desynchronizing the context tone relative to the rest of the complex did not facilitate streaming, despite the fact that the context tone was accessible to awareness and attention. Even presenting the context tone in a separate ear from the rest of the harmonic complex did not facilitate streaming, ruling out peripheral interference. Presenting the test as mistuned or desynchronized tones relative to complex tones eliminated the possibility that timbre changes from context to test interfered with facilitation resulting from the context. These results demonstrate the fragility of streaming facilitation and show that awareness of and attention to the context tones are not sufficient to overcome interference. PMID:24188403

  17. Context and task-aware knowledge-enhanced compressive imaging

    NASA Astrophysics Data System (ADS)

    Rao, Shankar; Ni, Kang-Yu; Owechko, Yuri

    2013-09-01

    We describe a foveated compressive sensing approach for image analysis applications that utilizes knowledge of the task to be performed to reduce the number of required measurements compared to conventional Nyquist sampling and compressive sensing based approaches. Our Compressive Optical Foveated Architecture (COFA) adapts the dictionary and compressive measurements to structure and sparsity in the signal, task, and scene by reducing measurement and dictionary mutual coherence and increasing sparsity using principles of actionable information and foveated compressive sensing. Actionable information is used to extract task-relevant regions of interest (ROIs) from a low-resolution scene analysis by eliminating the effects of nuisances for occlusion and anomalous motion detection. From the extracted ROIs, preferential measurements are taken using foveation as part of the compressive sensing adaptation process. The task-specific measurement matrix is optimized by using a novel saliency-weighted coherence minimization with respect to the learned signal dictionary. This incorporates the relative usage of the atoms in the dictionary. Therefore, the measurement matrix is not random, as in conventional compressive sensing, but is based on the dictionary structure and atom distributions. We utilize a patch-based method to learn the signal priors. A treestructured dictionary of image patches using KSVD is learned which can sparsely represent any given image patch with the tree-structure. We have implemented COFA in an end-to-end simulation of a vehicle fingerprinting task for aerial surveillance using foveated compressive measurements adapted to hierarchical ROIs consisting of background, roads, and vehicles. Our results show 113x reduction in measurements over conventional sensing and 28x reduction over compressive sensing using random measurements.

  18. College Students' Conceptions of Context-Aware Ubiquitous Learning: A Phenomenographic Analysis

    ERIC Educational Resources Information Center

    Tsai, Pei-Shan; Tsai, Chin-Chung; Hwang, Gwo-Haur

    2011-01-01

    The purpose of this study was to explore students' conceptions of context-aware ubiquitous learning (u-learning). The students participated in a u-learning exercise using PDAs equipped with RFID readers. The data were collected from individual interviews with each of the students by a trained researcher, and the responses of the interviewees were…

  19. Criteria, Strategies and Research Issues of Context-Aware Ubiquitous Learning

    ERIC Educational Resources Information Center

    Hwang, Gwo-Jen; Tsai, Chin-Chung; Yang, Stephen J. H.

    2008-01-01

    Recent progress in wireless and sensor technologies has lead to a new development of learning environments, called context-aware ubiquitous learning environment, which is able to sense the situation of learners and provide adaptive supports. Many researchers have been investigating the development of such new learning environments; nevertheless,…

  20. Developing Critical Social Awareness through Digital Literacy Practices within the Context of Higher Education in Brazil

    ERIC Educational Resources Information Center

    Braga, Denise Bertoli

    2007-01-01

    This paper discusses a teaching experience developed in the context of Brazilian higher education, which had as its central goal developing critical social awareness through digital literacy teaching. The discussion begins with an explanation of a Neo-Gramscian approach to critical literacy education, contextualising this perspective within…

  1. An Adaptive Navigation Support System for Conducting Context-Aware Ubiquitous Learning in Museums

    ERIC Educational Resources Information Center

    Chiou, Chuang-Kai; Tseng, Judy C. R.; Hwang, Gwo-Jen; Heller, Shelly

    2010-01-01

    In context-aware ubiquitous learning, students are guided to learn in the real world with personalized supports from the learning system. As the learning resources are realistic objects in the real world, certain physical constraints, such as the limitation of stream of people who visit the same learning object, the time for moving from one object…

  2. Using CALL in a Formal Learning Context to Develop Oral Language Awareness in ESL: An Assessment

    ERIC Educational Resources Information Center

    Vincent-Durroux, Laurence; Poussard, Cecile; Lavaur, Jean-Marc; Aparicio, Xavier

    2011-01-01

    French learners at university meet difficulties in the comprehension of oral English. Being in a formal context of language learning, they need to develop language awareness to compensate for insufficient exposure to the English language. To meet the students' needs, data was collected in order to pinpoint the main errors made by French learners…

  3. The Effectiveness of a Meaningful Learning-Based Evaluation Model for Context-Aware Mobile Learning

    ERIC Educational Resources Information Center

    Huang, Yueh-Min; Chiu, Po-Sheng

    2015-01-01

    In recent years, context-aware mobile learning (CAML) has been widely applied to various fields and has become a popular issue in educational research. Despite the tremendous potential of CAML and its growing significance, continued evaluations and refinements under the advice of field experts and instructors are crucial to ensure its validity,…

  4. iMuseumA: An Agent-Based Context-Aware Intelligent Museum System

    PubMed Central

    Ayala, Inmaculada; Amor, Mercedes; Pinto, Mónica; Fuentes, Lidia; Gámez, Nadia

    2014-01-01

    Currently, museums provide their visitors with interactive tour guide applications that can be installed in mobile devices and provide timely tailor-made multimedia information about exhibits on display. In this paper, we argue that mobile devices not only could provide help to visitors, but also to museum staff. Our goal is to integrate, within the same system, multimedia tour guides with the management facilities required by museums. In this paper, we present iMuseumA (intelligent museum with agents), a mobile-based solution to customize visits and perform context-aware management tasks. iMuseumA follows an agent-based approach, which makes it possible to interact easily with the museum environment and make decisions based on its current status. This system is currently deployed in the Museum of Informatics at the Informatics School of the University of Málaga, and its main contributions are: (i) a mobile application that provides management facilities to museum staff by means of sensing and processing environmental data; (ii) providing an integrated solution for visitors, tour guides and museum staff that allows coordination and communication enrichment among different groups of users; (iii) using and benefiting from group communication for heterogeneous groups of users that can be created on demand. PMID:25390409

  5. A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone

    PubMed Central

    Miao, Fen; Cheng, Yayu; He, Yi; He, Qingyun; Li, Ye

    2015-01-01

    Continuously monitoring the ECG signals over hours combined with activity status is very important for preventing cardiovascular diseases. A traditional ECG holter is often inconvenient to carry because it has many electrodes attached to the chest and because it is heavy. This work proposes a wearable, low power context-aware ECG monitoring system integrated built-in kinetic sensors of the smartphone with a self-designed ECG sensor. The wearable ECG sensor is comprised of a fully integrated analog front-end (AFE), a commercial micro control unit (MCU), a secure digital (SD) card, and a Bluetooth module. The whole sensor is very small with a size of only 58 × 50 × 10 mm for wearable monitoring application due to the AFE design, and the total power dissipation in a full round of ECG acquisition is only 12.5 mW. With the help of built-in kinetic sensors of the smartphone, the proposed system can compute and recognize user’s physical activity, and thus provide context-aware information for the continuous ECG monitoring. The experimental results demonstrated the performance of proposed system in improving diagnosis accuracy for arrhythmias and identifying the most common abnormal ECG patterns in different activities. In conclusion, we provide a wearable, accurate and energy-efficient system for long-term and context-aware ECG monitoring without any extra cost on kinetic sensor design but with the help of the widespread smartphone. PMID:25996508

  6. A Wearable Context-Aware ECG Monitoring System Integrated with Built-in Kinematic Sensors of the Smartphone.

    PubMed

    Miao, Fen; Cheng, Yayu; He, Yi; He, Qingyun; Li, Ye

    2015-01-01

    Continuously monitoring the ECG signals over hours combined with activity status is very important for preventing cardiovascular diseases. A traditional ECG holter is often inconvenient to carry because it has many electrodes attached to the chest and because it is heavy. This work proposes a wearable, low power context-aware ECG monitoring system integrated built-in kinetic sensors of the smartphone with a self-designed ECG sensor. The wearable ECG sensor is comprised of a fully integrated analog front-end (AFE), a commercial micro control unit (MCU), a secure digital (SD) card, and a Bluetooth module. The whole sensor is very small with a size of only 58 × 50 × 10 mm for wearable monitoring application due to the AFE design, and the total power dissipation in a full round of ECG acquisition is only 12.5 mW. With the help of built-in kinetic sensors of the smartphone, the proposed system can compute and recognize user's physical activity, and thus provide context-aware information for the continuous ECG monitoring. The experimental results demonstrated the performance of proposed system in improving diagnosis accuracy for arrhythmias and identifying the most common abnormal ECG patterns in different activities. In conclusion, we provide a wearable, accurate and energy-efficient system for long-term and context-aware ECG monitoring without any extra cost on kinetic sensor design but with the help of the widespread smartphone. PMID:25996508

  7. Peer Interaction and Social Network Analysis of Online Communities with the Support of Awareness of Different Contexts

    ERIC Educational Resources Information Center

    Lin, Jian-Wei; Mai, Li-Jung; Lai, Yung-Cheng

    2015-01-01

    Although several studies related to social-context awareness (SA) and knowledge-context awareness (KA) argued that each (SA or KA) can individually enhance peer interaction in an online learning community, other studies reached opposite conclusions. These conflicting findings likely stem from different experimental settings. Most importantly, few…

  8. Context-aware brain-computer interfaces: exploring the information space of user, technical system and environment

    NASA Astrophysics Data System (ADS)

    Zander, T. O.; Jatzev, S.

    2012-02-01

    Brain-computer interface (BCI) systems are usually applied in highly controlled environments such as research laboratories or clinical setups. However, many BCI-based applications are implemented in more complex environments. For example, patients might want to use a BCI system at home, and users without disabilities could benefit from BCI systems in special working environments. In these contexts, it might be more difficult to reliably infer information about brain activity, because many intervening factors add up and disturb the BCI feature space. One solution for this problem would be adding context awareness to the system. We propose to augment the available information space with additional channels carrying information about the user state, the environment and the technical system. In particular, passive BCI systems seem to be capable of adding highly relevant context information—otherwise covert aspects of user state. In this paper, we present a theoretical framework based on general human-machine system research for adding context awareness to a BCI system. Building on that, we present results from a study on a passive BCI, which allows access to the covert aspect of user state related to the perceived loss of control. This study is a proof of concept and demonstrates that context awareness could beneficially be implemented in and combined with a BCI system or a general human-machine system. The EEG data from this experiment are available for public download at www.phypa.org. Parts of this work have already been presented in non-journal publications. This will be indicated specifically by appropriate references in the text.

  9. A Context-Aware EEG Headset System for Early Detection of Driver Drowsiness

    PubMed Central

    Li, Gang; Chung, Wan-Young

    2015-01-01

    Driver drowsiness is a major cause of mortality in traffic accidents worldwide. Electroencephalographic (EEG) signal, which reflects the brain activities, is more directly related to drowsiness. Thus, many Brain-Machine-Interface (BMI) systems have been proposed to detect driver drowsiness. However, detecting driver drowsiness at its early stage poses a major practical hurdle when using existing BMI systems. This study proposes a context-aware BMI system aimed to detect driver drowsiness at its early stage by enriching the EEG data with the intensity of head-movements. The proposed system is carefully designed for low-power consumption with on-chip feature extraction and low energy Bluetooth connection. Also, the proposed system is implemented using JAVA programming language as a mobile application for on-line analysis. In total, 266 datasets obtained from six subjects who participated in a one-hour monotonous driving simulation experiment were used to evaluate this system. According to a video-based reference, the proposed system obtained an overall detection accuracy of 82.71% for classifying alert and slightly drowsy events by using EEG data alone and 96.24% by using the hybrid data of head-movement and EEG. These results indicate that the combination of EEG data and head-movement contextual information constitutes a robust solution for the early detection of driver drowsiness. PMID:26308002

  10. A Context-Aware EEG Headset System for Early Detection of Driver Drowsiness.

    PubMed

    Li, Gang; Chung, Wan-Young

    2015-01-01

    Driver drowsiness is a major cause of mortality in traffic accidents worldwide. Electroencephalographic (EEG) signal, which reflects the brain activities, is more directly related to drowsiness. Thus, many Brain-Machine-Interface (BMI) systems have been proposed to detect driver drowsiness. However, detecting driver drowsiness at its early stage poses a major practical hurdle when using existing BMI systems. This study proposes a context-aware BMI system aimed to detect driver drowsiness at its early stage by enriching the EEG data with the intensity of head-movements. The proposed system is carefully designed for low-power consumption with on-chip feature extraction and low energy Bluetooth connection. Also, the proposed system is implemented using JAVA programming language as a mobile application for on-line analysis. In total, 266 datasets obtained from six subjects who participated in a one-hour monotonous driving simulation experiment were used to evaluate this system. According to a video-based reference, the proposed system obtained an overall detection accuracy of 82.71% for classifying alert and slightly drowsy events by using EEG data alone and 96.24% by using the hybrid data of head-movement and EEG. These results indicate that the combination of EEG data and head-movement contextual information constitutes a robust solution for the early detection of driver drowsiness. PMID:26308002

  11. Adaptive and context-aware detection and classification of potential QoS degradation events in biomedical wireless sensor networks

    NASA Astrophysics Data System (ADS)

    Abreu, Carlos; Miranda, Francisco; Mendes, Paulo M.

    2016-06-01

    The use of wireless sensor networks in healthcare has the potential to enhance the services provided to citizens. In particular, they play an important role in the development of state-of-the-art patient monitoring applications. Nevertheless, due to the critical nature of the data conveyed by such patient monitoring applications, they have to fulfil high standards of quality of service in order to obtain the confidence of all players in the healthcare industry. In such context, vis-à-vis the quality of service being provided by the wireless sensor network, this work presents an adaptive and context-aware method to detect and classify performance degradation events. The proposed method has the ability to catch the most significant and damaging variations on the metrics being used to quantify the quality of service provided by the network without overreacting to small and innocuous variations on the metric's value.

  12. Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services

    PubMed Central

    Gil, David; Ferrández, Antonio; Mora-Mora, Higinio; Peral, Jesús

    2016-01-01

    The Internet of Things (IoT) has made it possible for devices around the world to acquire information and store it, in order to be able to use it at a later stage. However, this potential opportunity is often not exploited because of the excessively big interval between the data collection and the capability to process and analyse it. In this paper, we review the current IoT technologies, approaches and models in order to discover what challenges need to be met to make more sense of data. The main goal of this paper is to review the surveys related to IoT in order to provide well integrated and context aware intelligent services for IoT. Moreover, we present a state-of-the-art of IoT from the context aware perspective that allows the integration of IoT and social networks in the emerging Social Internet of Things (SIoT) term. PMID:27409623

  13. Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services.

    PubMed

    Gil, David; Ferrández, Antonio; Mora-Mora, Higinio; Peral, Jesús

    2016-01-01

    The Internet of Things (IoT) has made it possible for devices around the world to acquire information and store it, in order to be able to use it at a later stage. However, this potential opportunity is often not exploited because of the excessively big interval between the data collection and the capability to process and analyse it. In this paper, we review the current IoT technologies, approaches and models in order to discover what challenges need to be met to make more sense of data. The main goal of this paper is to review the surveys related to IoT in order to provide well integrated and context aware intelligent services for IoT. Moreover, we present a state-of-the-art of IoT from the context aware perspective that allows the integration of IoT and social networks in the emerging Social Internet of Things (SIoT) term. PMID:27409623

  14. Context-Aware Mobile Collaborative Systems: Conceptual Modeling and Case Study

    PubMed Central

    Benítez-Guerrero, Edgard; Mezura-Godoy, Carmen; Montané-Jiménez, Luis G.

    2012-01-01

    A Mobile Collaborative System (MCOS) enable the cooperation of the members of a team to achieve a common goal by using a combination of mobile and fixed technologies. MCOS can be enhanced if the context of the group of users is considered in the execution of activities. This paper proposes a novel model for Context-Aware Mobile COllaborative Systems (CAMCOS) and a functional architecture based on that model. In order to validate both the model and the architecture, a prototype system in the tourism domain was implemented and evaluated. PMID:23202007

  15. The Role of Context-Aware Computing in Support of People with Dementia

    NASA Astrophysics Data System (ADS)

    Baumgarten, Matthias; Mulvenna, Maurice D.

    There is a strong motivation, in particular in the domain of healthcare, for new perspectives on context-driven research and computing in order to provide next-generation services to people that are tailored to individual needs rather than generalised assumptions that could potentially endanger human life. For that, context awareness is a key requirement in order to reach a better understanding of human-centric computing systems and environments, and subsequently, the deployment of dedicated services that are specifically adapted to the context to which they are applied. Such context-driven services would be able to provide the means of delivering situation-aware and person-centric services that ultimately may even anticipate future behaviour and problems of the user itself and the context in which the user finds themselves. However, the perpetual provision of contextual data in pervasive environments is far from being easy and includes major challenges that vary between environments. The reason for this is not only the sensor diversity within the environments themselves but also the contextual scope to be analysed and the amount of data to be collected and correlated to actually reach a minimum degree of contextual understanding. For that reason, in this chapter, contextual environments have been categorised as well as their interaction into different groups that reflect individual contextual levels of interest of which contextual understanding is required and consequently to which services can be applied.

  16. Ubiquitous Geo-Sensing for Context-Aware Analysis: Exploring Relationships between Environmental and Human Dynamics

    PubMed Central

    Sagl, Günther; Blaschke, Thomas; Beinat, Euro; Resch, Bernd

    2012-01-01

    Ubiquitous geo-sensing enables context-aware analyses of physical and social phenomena, i.e., analyzing one phenomenon in the context of another. Although such context-aware analysis can potentially enable a more holistic understanding of spatio-temporal processes, it is rarely documented in the scientific literature yet. In this paper we analyzed the collective human behavior in the context of the weather. We therefore explored the complex relationships between these two spatio-temporal phenomena to provide novel insights into the dynamics of urban systems. Aggregated mobile phone data, which served as a proxy for collective human behavior, was linked with the weather data from climate stations in the case study area, the city of Udine, Northern Italy. To identify and characterize potential patterns within the weather-human relationships, we developed a hybrid approach which integrates several spatio-temporal statistical analysis methods. Thereby we show that explanatory factor analysis, when applied to a number of meteorological variables, can be used to differentiate between normal and adverse weather conditions. Further, we measured the strength of the relationship between the ‘global’ adverse weather conditions and the spatially explicit effective variations in user-generated mobile network traffic for three distinct periods using the Maximal Information Coefficient (MIC). The analyses result in three spatially referenced maps of MICs which reveal interesting insights into collective human dynamics in the context of weather, but also initiate several new scientific challenges. PMID:23012571

  17. Toward interactive context-aware affective educational recommendations in computer-assisted language learning

    NASA Astrophysics Data System (ADS)

    Santos, Olga C.; Saneiro, Mar; Boticario, Jesus G.; Rodriguez-Sanchez, M. C.

    2016-01-01

    This work explores the benefits of supporting learners affectively in a context-aware learning situation. This features a new challenge in related literature in terms of providing affective educational recommendations that take advantage of ambient intelligence and are delivered through actuators available in the environment, thus going beyond previous approaches which provided computer-based recommendation that present some text or tell aloud the learner what to do. To address this open issue, we have applied TORMES elicitation methodology, which has been used to investigate the potential of ambient intelligence for making more interactive recommendations in an emotionally challenging scenario (i.e. preparing for the oral examination of a second language learning course). Arduino open source electronics prototyping platform is used both to sense changes in the learners' affective state and to deliver the recommendation in a more interactive way through different complementary sensory communication channels (sight, hearing, touch) to cope with a universal design. An Ambient Intelligence Context-aware Affective Recommender Platform (AICARP) has been built to support the whole experience, which represents a progress in the state of the art. In particular, we have come up with what is most likely the first interactive context-aware affective educational recommendation. The value of this contribution lies in discussing methodological and practical issues involved.

  18. Final Scientific/Technical Report: Context-Aware Smart Home Energy Manager (CASHEM)

    SciTech Connect

    Foslien, Wendy K; Curtner, Keith L

    2013-01-15

    Because of growing energy demands and shortages, residential home owners are turning to energy conservation measures and smart home energy management devices to help them reduce energy costs and live more sustainably. In this context, the Honeywell team researched, developed, and tested the Context Aware Smart Home Energy Manager (CASHEM) as a trusted advisor for home energy management. The project focused on connecting multiple devices in a home through a uniform user interface. The design of the user interface was an important feature of the project because it provided a single place for the homeowner to control all devices and was also where they received coaching. CASHEM then used data collected from homes to identify the contexts that affect operation of home appliances. CASHEM's goal was to reduce energy consumption while keeping the user's key needs satisfied. Thus, CASHEM was intended to find the opportunities to minimize energy consumption in a way that fit the user's lifestyle.

  19. Context-Aware and Locality-Constrained Coding for Image Categorization

    PubMed Central

    2014-01-01

    Improving the coding strategy for BOF (Bag-of-Features) based feature design has drawn increasing attention in recent image categorization works. However, the ambiguity in coding procedure still impedes its further development. In this paper, we introduce a context-aware and locality-constrained Coding (CALC) approach with context information for describing objects in a discriminative way. It is generally achieved by learning a word-to-word cooccurrence prior to imposing context information over locality-constrained coding. Firstly, the local context of each category is evaluated by learning a word-to-word cooccurrence matrix representing the spatial distribution of local features in neighbor region. Then, the learned cooccurrence matrix is used for measuring the context distance between local features and code words. Finally, a coding strategy simultaneously considers locality in feature space and context space, while introducing the weight of feature is proposed. This novel coding strategy not only semantically preserves the information in coding, but also has the ability to alleviate the noise distortion of each class. Extensive experiments on several available datasets (Scene-15, Caltech101, and Caltech256) are conducted to validate the superiority of our algorithm by comparing it with baselines and recent published methods. Experimental results show that our method significantly improves the performance of baselines and achieves comparable and even better performance with the state of the arts. PMID:24977215

  20. Design of an Unattended Monitoring System Using Context-Aware Technologies Based on 3 Screen

    NASA Astrophysics Data System (ADS)

    Kim, Seoksoo

    More recently, the importance of a multimedia-based monitoring system, keeps growing for the purpose of preventing crimes and, thus, various systems are being released. Nevertheless, most systems are lacking an independent feature of detection but simply saves a video or image. In order to overcome problems, therefore, this study has developed an unattended monitoring system based on a 3 Screen service environment by combining image tracking and analysis technologies, which can extract a human from images, with context-aware technologies using behavior patterns of people tracked and data of a surrounding environment, fully utilizing the wireless network infrastructure that has been increasingly available.

  1. A Study of Context-Awareness RBAC Model Using User Profile on Ubiquitous Computing

    NASA Astrophysics Data System (ADS)

    Jang, Bokman; Park, Sungdo; Chang, Hyokyung; Ahn, Hyosik; Choi, Euiin

    Recently, With the IT technique growth, there is getting formed to convert to ubiquitous environment that means it can access information everywhere and every-time using various devices, and the computer can decide to provide useful services to users. But, in this computing environment will be connected to wireless network and various devices. According to, recklessness approaches of information resource make trouble to system. So, access authority management is very important issue both information resource and adapt to system through founding security policy to need a system. So, this model has a problem that is not concerned about user's context information as user's profile. In this paper suppose to context-awareness RABC model that based on profile about which user's information which provide efficiently access control to user through active classification, inference and judgment about user who access to system and resource.

  2. CAST: Effective and Efficient User Interaction for Context-Aware Selection in 3D Particle Clouds.

    PubMed

    Yu, Lingyun; Efstathiou, Konstantinos; Isenberg, Petra; Isenberg, Tobias

    2016-01-01

    We present a family of three interactive Context-Aware Selection Techniques (CAST) for the analysis of large 3D particle datasets. For these datasets, spatial selection is an essential prerequisite to many other analysis tasks. Traditionally, such interactive target selection has been particularly challenging when the data subsets of interest were implicitly defined in the form of complicated structures of thousands of particles. Our new techniques SpaceCast, TraceCast, and PointCast improve usability and speed of spatial selection in point clouds through novel context-aware algorithms. They are able to infer a user's subtle selection intention from gestural input, can deal with complex situations such as partially occluded point clusters or multiple cluster layers, and can all be fine-tuned after the selection interaction has been completed. Together, they provide an effective and efficient tool set for the fast exploratory analysis of large datasets. In addition to presenting Cast, we report on a formal user study that compares our new techniques not only to each other but also to existing state-of-the-art selection methods. Our results show that Cast family members are virtually always faster than existing methods without tradeoffs in accuracy. In addition, qualitative feedback shows that PointCast and TraceCast were strongly favored by our participants for intuitiveness and efficiency. PMID:26390474

  3. Prototype of an auto-calibrating, context-aware, hybrid brain-computer interface.

    PubMed

    Faller, J; Torrellas, S; Miralles, F; Holzner, C; Kapeller, C; Guger, C; Bund, J; Müller-Putz, G R; Scherer, R

    2012-01-01

    We present the prototype of a context-aware framework that allows users to control smart home devices and to access internet services via a Hybrid BCI system of an auto-calibrating sensorimotor rhythm (SMR) based BCI and another assistive device (Integra Mouse mouth joystick). While there is extensive literature that describes the merit of Hybrid BCIs, auto-calibrating and co-adaptive ERD BCI training paradigms, specialized BCI user interfaces, context-awareness and smart home control, there is up to now, no system that includes all these concepts in one integrated easy-to-use framework that can truly benefit individuals with severe functional disabilities by increasing independence and social inclusion. Here we integrate all these technologies in a prototype framework that does not require expert knowledge or excess time for calibration. In a first pilot-study, 3 healthy volunteers successfully operated the system using input signals from an ERD BCI and an Integra Mouse and reached average positive predictive values (PPV) of 72 and 98% respectively. Based on what we learned here we are planning to improve the system for a test with a larger number of healthy volunteers so we can soon bring the system to benefit individuals with severe functional disability. PMID:23366267

  4. Context-Awareness Based Personalized Recommendation of Anti-Hypertension Drugs.

    PubMed

    Chen, Dexin; Jin, Dawei; Goh, Tiong-Thye; Li, Na; Wei, Leiru

    2016-09-01

    The World Health Organization estimates that almost one-third of the world's adult population are suffering from hypertension which has gradually become a "silent killer". Due to the varieties of anti-hypertensive drugs, patients are interested in how these drugs can be selected to match their respective conditions. This study provides a personalized recommendation service system of anti-hypertensive drugs based on context-awareness and designs a context ontology framework of the service. In addition, this paper introduces a Semantic Web Rule Language (SWRL)-based rule to provide high-level context reasoning and information recommendation and to overcome the limitation of ontology reasoning. To make the information recommendation of the drugs more personalized, this study also devises three categories of information recommendation rules that match different priority levels and uses a ranking algorithm to optimize the recommendation. The experiment conducted shows that combining the anti-hypertensive drugs personalized recommendation service context ontology (HyRCO) with the optimized rule reasoning can achieve a higher-quality personalized drug recommendation service. Accordingly this exploratory study of the personalized recommendation service for hypertensive drugs and its method can be easily adopted for other diseases. PMID:27473866

  5. Multicore Architecture-aware Scientific Applications

    SciTech Connect

    Srinivasa, Avinash

    2011-11-28

    Modern high performance systems are becoming increasingly complex and powerful due to advancements in processor and memory architecture. In order to keep up with this increasing complexity, applications have to be augmented with certain capabilities to fully exploit such systems. These may be at the application level, such as static or dynamic adaptations or at the system level, like having strategies in place to override some of the default operating system polices, the main objective being to improve computational performance of the application. The current work proposes two such capabilites with respect to multi-threaded scientific applications, in particular a large scale physics application computing ab-initio nuclear structure. The first involves using a middleware tool to invoke dynamic adaptations in the application, so as to be able to adjust to the changing computational resource availability at run-time. The second involves a strategy for effective placement of data in main memory, to optimize memory access latencies and bandwidth. These capabilties when included were found to have a significant impact on the application performance, resulting in average speedups of as much as two to four times.

  6. Activity Theory Approach to Developing Context-Aware Mobile Learning Systems for Understanding Scientific Phenomenon and Theories

    ERIC Educational Resources Information Center

    Uden, Lorna; Hwang, Gwo-Jen

    2013-01-01

    Mobile computing offers potential opportunities for students' learning especially when it combines a sensing device such as RFID (Radio Frequency Identification). Researchers have indicated that a key feature of in-field learning supported by mobile devices and technology is context awareness, with which context and functionality provided by…

  7. Prompting technologies: A comparison of time-based and context-aware transition-based prompting

    PubMed Central

    Robertson, Kayela; Rosasco, Cody; Feuz, Kyle; Schmitter-Edgecombe, Maureen; Cook, Diane

    2016-01-01

    BACKGROUND While advancements in technology have encouraged the development of novel prompting systems to support cognitive interventions, little research has evaluated the best time to deliver prompts, which may impact the effectiveness of these interventions. OBJECTIVE This study examined whether transition-based context prompting (prompting an individual during task transitions) is more effective than traditional fixed time-based prompting. METHODS Participants were 42 healthy adults who completed 12 different everyday activities, each lasting 1–7 minutes, in an experimental smart home testbed and received prompts to record the completed activities from an electronic memory notebook. Half of the participants were delivered prompts during activity transitions, while the other half received prompts every 5 minutes. Participants also completed Likert-scale ratings regarding their perceptions of the prompting system. RESULTS Results revealed that participants in the transition-based context prompting condition responded to the first prompt more frequently and rated the system as more convenient, natural, and appropriate compared to participants in the time-based condition. CONCLUSIONS Our findings suggest that prompting during activity transitions produces higher adherence to the first prompt and more positive perceptions of the prompting system. This is an important finding given the benefits of prompting technology and the possibility of improving cognitive interventions by using context-aware transition prompting. PMID:26409520

  8. A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference.

    PubMed

    Chiang, Tzu-Chiang; Liang, Wen-Hua

    2015-09-01

    In the present society, most families are double-income families, and as the long-term care is seriously short of manpower, it contributes to the rapid development of tele-homecare equipment, and the smart home care system gradually emerges, which assists the elderly or patients with chronic diseases in daily life. This study aims at interaction between persons under care and the system in various living spaces, as based on motion-sensing interaction, and the context-aware smart home care system is proposed. The system stores the required contexts in knowledge ontology, including the physiological information and environmental information of the person under care, as the database of decision. The motion-sensing device enables the person under care to interact with the system through gestures. By the inference mechanism of fuzzy theory, the system can offer advice and rapidly execute service, thus, implementing the EHA. In addition, the system is integrated with the functions of smart phone, tablet PC, and PC, in order that users can implement remote operation and share information regarding the person under care. The health care system constructed in this study enables the decision making system to probe into the health risk of each person under care; then, from the view of preventive medicine, and through a composing system and simulation experimentation, tracks the physiological trend of the person under care, and provides early warning service, thus, promoting smart home care. PMID:26265236

  9. A Presence-Based Context-Aware Chronic Stress Recognition System

    PubMed Central

    Peternel, Klemen; Pogačnik, Matevž; Tavčar, Rudi; Kos, Andrej

    2012-01-01

    Stressors encountered in daily life may play an important role in personal well-being. Chronic stress can have a serious long-term impact on our physical as well as our psychological health, due to ongoing increased levels of the chemicals released in the ‘fight or flight’ response. The currently available stress assessment methods are usually not suitable for daily chronic stress measurement. The paper presents a context-aware chronic stress recognition system that addresses this problem. The proposed system obtains contextual data from various mobile sensors and other external sources in order to calculate the impact of ongoing stress. By identifying and visualizing ongoing stress situations of an individual user, he/she is able to modify his/her behavior in order to successfully avoid them. Clinical evaluation of the proposed methodology has been made in parallel by using electrodermal activity sensor. To the best of our knowledge, the system presented herein is the first one that enables recognition of chronic stress situations on the basis of user context. PMID:23202238

  10. A context-aware approach for progression tracking of medical concepts in electronic medical records.

    PubMed

    Chang, Nai-Wen; Dai, Hong-Jie; Jonnagaddala, Jitendra; Chen, Chih-Wei; Tsai, Richard Tzong-Han; Hsu, Wen-Lian

    2015-12-01

    Electronic medical records (EMRs) for diabetic patients contain information about heart disease risk factors such as high blood pressure, cholesterol levels, and smoking status. Discovering the described risk factors and tracking their progression over time may support medical personnel in making clinical decisions, as well as facilitate data modeling and biomedical research. Such highly patient-specific knowledge is essential to driving the advancement of evidence-based practice, and can also help improve personalized medicine and care. One general approach for tracking the progression of diseases and their risk factors described in EMRs is to first recognize all temporal expressions, and then assign each of them to the nearest target medical concept. However, this method may not always provide the correct associations. In light of this, this work introduces a context-aware approach to assign the time attributes of the recognized risk factors by reconstructing contexts that contain more reliable temporal expressions. The evaluation results on the i2b2 test set demonstrate the efficacy of the proposed approach, which achieved an F-score of 0.897. To boost the approach's ability to process unstructured clinical text and to allow for the reproduction of the demonstrated results, a set of developed .NET libraries used to develop the system is available at https://sites.google.com/site/hongjiedai/projects/nttmuclinicalnet. PMID:26432355

  11. A Decision-Tree-Oriented Guidance Mechanism for Conducting Nature Science Observation Activities in a Context-Aware Ubiquitous Learning

    ERIC Educational Resources Information Center

    Hwang, Gwo-Jen; Chu, Hui-Chun; Shih, Ju-Ling; Huang, Shu-Hsien; Tsai, Chin-Chung

    2010-01-01

    A context-aware ubiquitous learning environment is an authentic learning environment with personalized digital supports. While showing the potential of applying such a learning environment, researchers have also indicated the challenges of providing adaptive and dynamic support to individual students. In this paper, a decision-tree-oriented…

  12. Coming to Understand Angle and Angle Measure: A Design-Based Research Curriculum Study Using Context-Aware Ubiquitous Learning

    ERIC Educational Resources Information Center

    Crompton, Helen

    2013-01-01

    This study uses design-based research (DBR) to develop an empirically-substantiated instructional theory about students' development of angle and angle measure, with real-world connections and technological tools through the use of context-aware ubiquitous learning. The research questions guiding this research are: 1) How do students come to…

  13. A Context-Aware Ubiquitous Learning Approach for Providing Instant Learning Support in Personal Computer Assembly Activities

    ERIC Educational Resources Information Center

    Hsu, Ching-Kun; Hwang, Gwo-Jen

    2014-01-01

    Personal computer assembly courses have been recognized as being essential in helping students understand computer structure as well as the functionality of each computer component. In this study, a context-aware ubiquitous learning approach is proposed for providing instant assistance to individual students in the learning activity of a…

  14. Review of Self-Awareness and Its Clinical Application in Stroke Rehabilitation

    ERIC Educational Resources Information Center

    Leung, Daniel P. K.; Liu, Karen P. Y.

    2011-01-01

    The objectives of this study were (i) to explore, following a literature review, the concepts of self-awareness, its assessment, and intervention for self-awareness deficits, as well as its clinical significance in stroke rehabilitation; and (ii) to apply the concepts of self-awareness in the context of a rehabilitation program. The search was…

  15. Semantic classification of diseases in discharge summaries using a context-aware rule-based classifier.

    PubMed

    Solt, Illés; Tikk, Domonkos; Gál, Viktor; Kardkovács, Zsolt T

    2009-01-01

    OBJECTIVE Automated and disease-specific classification of textual clinical discharge summaries is of great importance in human life science, as it helps physicians to make medical studies by providing statistically relevant data for analysis. This can be further facilitated if, at the labeling of discharge summaries, semantic labels are also extracted from text, such as whether a given disease is present, absent, questionable in a patient, or is unmentioned in the document. The authors present a classification technique that successfully solves the semantic classification task. DESIGN The authors introduce a context-aware rule-based semantic classification technique for use on clinical discharge summaries. The classification is performed in subsequent steps. First, some misleading parts are removed from the text; then the text is partitioned into positive, negative, and uncertain context segments, then a sequence of binary classifiers is applied to assign the appropriate semantic labels. Measurement For evaluation the authors used the documents of the i2b2 Obesity Challenge and adopted its evaluation measures: F(1)-macro and F(1)-micro for measurements. RESULTS On the two subtasks of the Obesity Challenge (textual and intuitive classification) the system performed very well, and achieved a F(1)-macro = 0.80 for the textual and F(1)-macro = 0.67 for the intuitive tasks, and obtained second place at the textual and first place at the intuitive subtasks of the challenge. CONCLUSIONS The authors show in the paper that a simple rule-based classifier can tackle the semantic classification task more successfully than machine learning techniques, if the training data are limited and some semantic labels are very sparse. PMID:19390101

  16. Implementation of Context Aware e-Health Environments Based on Social Sensor Networks.

    PubMed

    Aguirre, Erik; Led, Santiago; Lopez-Iturri, Peio; Azpilicueta, Leyre; Serrano, Luís; Falcone, Francisco

    2016-01-01

    In this work, context aware scenarios applied to e-Health and m-Health in the framework of typical households (urban and rural) by means of deploying Social Sensors will be described. Interaction with end-users and social/medical staff is achieved using a multi-signal input/output device, capable of sensing and transmitting environmental, biomedical or activity signals and information with the aid of a combined Bluetooth and Mobile system platform. The devices, which play the role of Social Sensors, are implemented and tested in order to guarantee adequate service levels in terms of multiple signal processing tasks as well as robustness in relation with the use wireless transceivers and channel variability. Initial tests within a Living Lab environment have been performed in order to validate overall system operation. The results obtained show good acceptance of the proposed system both by end users as well as by medical and social staff, increasing interaction, reducing overall response time and social inclusion levels, with a compact and moderate cost solution that can readily be largely deployed. PMID:26938539

  17. Horror Image Recognition Based on Context-Aware Multi-Instance Learning.

    PubMed

    Li, Bing; Xiong, Weihua; Wu, Ou; Hu, Weiming; Maybank, Stephen; Yan, Shuicheng

    2015-12-01

    Horror content sharing on the Web is a growing phenomenon that can interfere with our daily life and affect the mental health of those involved. As an important form of expression, horror images have their own characteristics that can evoke extreme emotions. In this paper, we present a novel context-aware multi-instance learning (CMIL) algorithm for horror image recognition. The CMIL algorithm identifies horror images and picks out the regions that cause the sensation of horror in these horror images. It obtains contextual cues among adjacent regions in an image using a random walk on a contextual graph. Borrowing the strength of the fuzzy support vector machine (FSVM), we define a heuristic optimization procedure based on the FSVM to search for the optimal classifier for the CMIL. To improve the initialization of the CMIL, we propose a novel visual saliency model based on the tensor analysis. The average saliency value of each segmented region is set as its initial fuzzy membership in the CMIL. The advantage of the tensor-based visual saliency model is that it not only adaptively selects features, but also dynamically determines fusion weights for saliency value combination from different feature subspaces. The effectiveness of the proposed CMIL model is demonstrated by its use in horror image recognition on two large-scale image sets collected from the Internet. PMID:26390459

  18. Implementation of Context Aware e-Health Environments Based on Social Sensor Networks

    PubMed Central

    Aguirre, Erik; Led, Santiago; Lopez-Iturri, Peio; Azpilicueta, Leyre; Serrano, Luís; Falcone, Francisco

    2016-01-01

    In this work, context aware scenarios applied to e-Health and m-Health in the framework of typical households (urban and rural) by means of deploying Social Sensors will be described. Interaction with end-users and social/medical staff is achieved using a multi-signal input/output device, capable of sensing and transmitting environmental, biomedical or activity signals and information with the aid of a combined Bluetooth and Mobile system platform. The devices, which play the role of Social Sensors, are implemented and tested in order to guarantee adequate service levels in terms of multiple signal processing tasks as well as robustness in relation with the use wireless transceivers and channel variability. Initial tests within a Living Lab environment have been performed in order to validate overall system operation. The results obtained show good acceptance of the proposed system both by end users as well as by medical and social staff, increasing interaction, reducing overall response time and social inclusion levels, with a compact and moderate cost solution that can readily be largely deployed. PMID:26938539

  19. A Context-Aware Model to Provide Positioning in Disaster Relief Scenarios.

    PubMed

    Moreno, Daniel; Ochoa, Sergio F; Meseguer, Roc

    2015-01-01

    The effectiveness of the work performed during disaster relief efforts is highly dependent on the coordination of activities conducted by the first responders deployed in the affected area. Such coordination, in turn, depends on an appropriate management of geo-referenced information. Therefore, enabling first responders to count on positioning capabilities during these activities is vital to increase the effectiveness of the response process. The positioning methods used in this scenario must assume a lack of infrastructure-based communication and electrical energy, which usually characterizes affected areas. Although positioning systems such as the Global Positioning System (GPS) have been shown to be useful, we cannot assume that all devices deployed in the area (or most of them) will have positioning capabilities by themselves. Typically, many first responders carry devices that are not capable of performing positioning on their own, but that require such a service. In order to help increase the positioning capability of first responders in disaster-affected areas, this paper presents a context-aware positioning model that allows mobile devices to estimate their position based on information gathered from their surroundings. The performance of the proposed model was evaluated using simulations, and the obtained results show that mobile devices without positioning capabilities were able to use the model to estimate their position. Moreover, the accuracy of the positioning model has been shown to be suitable for conducting most first response activities. PMID:26437406

  20. A Context-Aware Model to Provide Positioning in Disaster Relief Scenarios

    PubMed Central

    Moreno, Daniel; Ochoa, Sergio F.; Meseguer, Roc

    2015-01-01

    The effectiveness of the work performed during disaster relief efforts is highly dependent on the coordination of activities conducted by the first responders deployed in the affected area. Such coordination, in turn, depends on an appropriate management of geo-referenced information. Therefore, enabling first responders to count on positioning capabilities during these activities is vital to increase the effectiveness of the response process. The positioning methods used in this scenario must assume a lack of infrastructure-based communication and electrical energy, which usually characterizes affected areas. Although positioning systems such as the Global Positioning System (GPS) have been shown to be useful, we cannot assume that all devices deployed in the area (or most of them) will have positioning capabilities by themselves. Typically, many first responders carry devices that are not capable of performing positioning on their own, but that require such a service. In order to help increase the positioning capability of first responders in disaster-affected areas, this paper presents a context-aware positioning model that allows mobile devices to estimate their position based on information gathered from their surroundings. The performance of the proposed model was evaluated using simulations, and the obtained results show that mobile devices without positioning capabilities were able to use the model to estimate their position. Moreover, the accuracy of the positioning model has been shown to be suitable for conducting most first response activities. PMID:26437406

  1. Web-of-Objects (WoO)-Based Context Aware Emergency Fire Management Systems for the Internet of Things

    PubMed Central

    Shamszaman, Zia Ush; Ara, Safina Showkat; Chong, Ilyoung; Jeong, Youn Kwae

    2014-01-01

    Recent advancements in the Internet of Things (IoT) and the Web of Things (WoT) accompany a smart life where real world objects, including sensing devices, are interconnected with each other. The Web representation of smart objects empowers innovative applications and services for various domains. To accelerate this approach, Web of Objects (WoO) focuses on the implementation aspects of bringing the assorted real world objects to the Web applications. In this paper; we propose an emergency fire management system in the WoO infrastructure. Consequently, we integrate the formation and management of Virtual Objects (ViO) which are derived from real world physical objects and are virtually connected with each other into the semantic ontology model. The charm of using the semantic ontology is that it allows information reusability, extensibility and interoperability, which enable ViOs to uphold orchestration, federation, collaboration and harmonization. Our system is context aware, as it receives contextual environmental information from distributed sensors and detects emergency situations. To handle a fire emergency, we present a decision support tool for the emergency fire management team. The previous fire incident log is the basis of the decision support system. A log repository collects all the emergency fire incident logs from ViOs and stores them in a repository. PMID:24531299

  2. Web-of-Objects (WoO)-based context aware emergency fire management systems for the Internet of Things.

    PubMed

    Shamszaman, Zia Ush; Ara, Safina Showkat; Chong, Ilyoung; Jeong, Youn Kwae

    2014-01-01

    Recent advancements in the Internet of Things (IoT) and the Web of Things (WoT) accompany a smart life where real world objects, including sensing devices, are interconnected with each other. The Web representation of smart objects empowers innovative applications and services for various domains. To accelerate this approach, Web of Objects (WoO) focuses on the implementation aspects of bringing the assorted real world objects to the Web applications. In this paper; we propose an emergency fire management system in the WoO infrastructure. Consequently, we integrate the formation and management of Virtual Objects (ViO) which are derived from real world physical objects and are virtually connected with each other into the semantic ontology model. The charm of using the semantic ontology is that it allows information reusability, extensibility and interoperability, which enable ViOs to uphold orchestration, federation, collaboration and harmonization. Our system is context aware, as it receives contextual environmental information from distributed sensors and detects emergency situations. To handle a fire emergency, we present a decision support tool for the emergency fire management team. The previous fire incident log is the basis of the decision support system. A log repository collects all the emergency fire incident logs from ViOs and stores them in a repository. PMID:24531299

  3. Spatiotemporal Context Awareness for Urban Traffic Modeling and Prediction: Sparse Representation Based Variable Selection.

    PubMed

    Yang, Su; Shi, Shixiong; Hu, Xiaobing; Wang, Minjie

    2015-01-01

    Spatial-temporal correlations among the data play an important role in traffic flow prediction. Correspondingly, traffic modeling and prediction based on big data analytics emerges due to the city-scale interactions among traffic flows. A new methodology based on sparse representation is proposed to reveal the spatial-temporal dependencies among traffic flows so as to simplify the correlations among traffic data for the prediction task at a given sensor. Three important findings are observed in the experiments: (1) Only traffic flows immediately prior to the present time affect the formation of current traffic flows, which implies the possibility to reduce the traditional high-order predictors into an 1-order model. (2) The spatial context relevant to a given prediction task is more complex than what is assumed to exist locally and can spread out to the whole city. (3) The spatial context varies with the target sensor undergoing prediction and enlarges with the increment of time lag for prediction. Because the scope of human mobility is subject to travel time, identifying the varying spatial context against time lag is crucial for prediction. Since sparse representation can capture the varying spatial context to adapt to the prediction task, it outperforms the traditional methods the inputs of which are confined as the data from a fixed number of nearby sensors. As the spatial-temporal context for any prediction task is fully detected from the traffic data in an automated manner, where no additional information regarding network topology is needed, it has good scalability to be applicable to large-scale networks. PMID:26496370

  4. Spatiotemporal Context Awareness for Urban Traffic Modeling and Prediction: Sparse Representation Based Variable Selection

    PubMed Central

    Yang, Su; Shi, Shixiong; Hu, Xiaobing; Wang, Minjie

    2015-01-01

    Spatial-temporal correlations among the data play an important role in traffic flow prediction. Correspondingly, traffic modeling and prediction based on big data analytics emerges due to the city-scale interactions among traffic flows. A new methodology based on sparse representation is proposed to reveal the spatial-temporal dependencies among traffic flows so as to simplify the correlations among traffic data for the prediction task at a given sensor. Three important findings are observed in the experiments: (1) Only traffic flows immediately prior to the present time affect the formation of current traffic flows, which implies the possibility to reduce the traditional high-order predictors into an 1-order model. (2) The spatial context relevant to a given prediction task is more complex than what is assumed to exist locally and can spread out to the whole city. (3) The spatial context varies with the target sensor undergoing prediction and enlarges with the increment of time lag for prediction. Because the scope of human mobility is subject to travel time, identifying the varying spatial context against time lag is crucial for prediction. Since sparse representation can capture the varying spatial context to adapt to the prediction task, it outperforms the traditional methods the inputs of which are confined as the data from a fixed number of nearby sensors. As the spatial-temporal context for any prediction task is fully detected from the traffic data in an automated manner, where no additional information regarding network topology is needed, it has good scalability to be applicable to large-scale networks. PMID:26496370

  5. Mobile Phone Middleware Architecture for Energy and Context Awareness in Location-Based Services

    PubMed Central

    Galeana-Zapién, Hiram; Torres-Huitzil, César; Rubio-Loyola, Javier

    2014-01-01

    The disruptive innovation of smartphone technology has enabled the development of mobile sensing applications leveraged on specialized sensors embedded in the device. These novel mobile phone applications rely on advanced sensor information processes, which mainly involve raw data acquisition, feature extraction, data interpretation and transmission. However, the continuous accessing of sensing resources to acquire sensor data in smartphones is still very expensive in terms of energy, particularly due to the periodic use of power-intensive sensors, such as the Global Positioning System (GPS) receiver. The key underlying idea to design energy-efficient schemes is to control the duty cycle of the GPS receiver. However, adapting the sensing rate based on dynamic context changes through a flexible middleware has received little attention in the literature. In this paper, we propose a novel modular middleware architecture and runtime environment to directly interface with application programming interfaces (APIs) and embedded sensors in order to manage the duty cycle process based on energy and context aspects. The proposed solution has been implemented in the Android software stack. It allows continuous location tracking in a timely manner and in a transparent way to the user. It also enables the deployment of sensing policies to appropriately control the sampling rate based on both energy and perceived context. We validate the proposed solution taking into account a reference location-based service (LBS) architecture. A cloud-based storage service along with online mobility analysis tools have been used to store and access sensed data. Experimental measurements demonstrate the feasibility and efficiency of our middleware, in terms of energy and location resolution. PMID:25513821

  6. Mobile phone middleware architecture for energy and context awareness in location-based services.

    PubMed

    Galeana-Zapién, Hiram; Torres-Huitzil, César; Rubio-Loyola, Javier

    2014-01-01

    The disruptive innovation of smartphone technology has enabled the development of mobile sensing applications leveraged on specialized sensors embedded in the device. These novel mobile phone applications rely on advanced sensor information processes, which mainly involve raw data acquisition, feature extraction, data interpretation and transmission. However, the continuous accessing of sensing resources to acquire sensor data in smartphones is still very expensive in terms of energy, particularly due to the periodic use of power-intensive sensors, such as the Global Positioning System (GPS) receiver. The key underlying idea to design energy-efficient schemes is to control the duty cycle of the GPS receiver. However, adapting the sensing rate based on dynamic context changes through a flexible middleware has received little attention in the literature. In this paper, we propose a novel modular middleware architecture and runtime environment to directly interface with application programming interfaces (APIs) and embedded sensors in order to manage the duty cycle process based on energy and context aspects. The proposed solution has been implemented in the Android software stack. It allows continuous location tracking in a timely manner and in a transparent way to the user. It also enables the deployment of sensing policies to appropriately control the sampling rate based on both energy and perceived context. We validate the proposed solution taking into account a reference location-based service (LBS) architecture. A cloud-based storage service along with online mobility analysis tools have been used to store and access sensed data. Experimental measurements demonstrate the feasibility and efficiency of our middleware, in terms of energy and location resolution. PMID:25513821

  7. High Performance Computing Software Applications for Space Situational Awareness

    NASA Astrophysics Data System (ADS)

    Giuliano, C.; Schumacher, P.; Matson, C.; Chun, F.; Duncan, B.; Borelli, K.; Desonia, R.; Gusciora, G.; Roe, K.

    The High Performance Computing Software Applications Institute for Space Situational Awareness (HSAI-SSA) has completed its first full year of applications development. The emphasis of our work in this first year was in improving space surveillance sensor models and image enhancement software. These applications are the Space Surveillance Network Analysis Model (SSNAM), the Air Force Space Fence simulation (SimFence), and physically constrained iterative de-convolution (PCID) image enhancement software tool. Specifically, we have demonstrated order of magnitude speed-up in those codes running on the latest Cray XD-1 Linux supercomputer (Hoku) at the Maui High Performance Computing Center. The software applications improvements that HSAI-SSA has made, has had significant impact to the warfighter and has fundamentally changed the role of high performance computing in SSA.

  8. Fertility awareness-based mobile application for contraception

    PubMed Central

    Berglund Scherwitzl, Elina; Gemzell Danielsson, Kristina; Sellberg, Jonas A.; Scherwitzl, Raoul

    2016-01-01

    Abstract Objectives: The aim of the study was to retrospectively evaluate the effectiveness of a fertility awareness-based method supported by a mobile-based application to prevent unwanted pregnancies as a method of natural birth control. Methods: In a retrospective analysis, the application’s efficiency as a contraceptive method was examined on data from 4054 women who used the application as contraception for a total of 2085 woman-years. Results: The number of identified unplanned pregnancies was 143 during 2053 woman-years, giving a Pearl Index of 7.0 for typical use. Ten of the pregnancies were due to the application falsely attributing a safe day within the fertile window, producing a perfect-use Pearl Index of 0.5. Calculating the cumulative pregnancy probability by life-table analysis resulted in a pregnancy rate of 7.5% per year (95% confidence interval 5.9%, 9.1% per year). Conclusions: The application appears to improve the effectiveness of fertility awareness-based methods and can be used to prevent pregnancies if couples consistently protect themselves on fertile days. PMID:27003381

  9. The Application of Context Theory in English Teaching of Reading

    ERIC Educational Resources Information Center

    Zhu, Jiang; Han, Lemeng

    2010-01-01

    Context theory is a very important theory in English teaching, especially the teaching of reading. This paper first analyzes the theory of context, including the features of context and some principles in context theory. Then the paper discusses the application of context theory in English teaching of reading, including some problems met in…

  10. Traffic sign recognition based on a context-aware scale-invariant feature transform approach

    NASA Astrophysics Data System (ADS)

    Yuan, Xue; Hao, Xiaoli; Chen, Houjin; Wei, Xueye

    2013-10-01

    A new context-aware scale-invariant feature transform (CASIFT) approach is proposed, which is designed for the use in traffic sign recognition (TSR) systems. The following issues remain in previous works in which SIFT is used for matching or recognition: (1) SIFT is unable to provide color information; (2) SIFT only focuses on local features while ignoring the distribution of global shapes; (3) the template with the maximum number of matching points selected as the final result is instable, especially for images with simple patterns; and (4) SIFT is liable to result in errors when different images share the same local features. In order to resolve these problems, a new CASIFT approach is proposed. The contributions of the work are as follows: (1) color angular patterns are used to provide the color distinguishing information; (2) a CASIFT which effectively combines local and global information is proposed; and (3) a method for computing the similarity between two images is proposed, which focuses on the distribution of the matching points, rather than using the traditional SIFT approach of selecting the template with maximum number of matching points as the final result. The proposed approach is particularly effective in dealing with traffic signs which have rich colors and varied global shape distribution. Experiments are performed to validate the effectiveness of the proposed approach in TSR systems, and the experimental results are satisfying even for images containing traffic signs that have been rotated, damaged, altered in color, have undergone affine transformations, or images which were photographed under different weather or illumination conditions.

  11. Collaborative knowledge acquisition for the design of context-aware alert systems

    PubMed Central

    Joffe, Erel; Havakuk, Ofer; Herskovic, Jorge R; Patel, Vimla L

    2012-01-01

    Objective To present a framework for combining implicit knowledge acquisition from multiple experts with machine learning and to evaluate this framework in the context of anemia alerts. Materials and Methods Five internal medicine residents reviewed 18 anemia alerts, while ‘talking aloud’. They identified features that were reviewed by two or more physicians to determine appropriate alert level, etiology and treatment recommendation. Based on these features, data were extracted from 100 randomly-selected anemia cases for a training set and an additional 82 cases for a test set. Two staff internists assigned an alert level, etiology and treatment recommendation before and after reviewing the entire electronic medical record. The training set of 118 cases (100 plus 18) and the test set of 82 cases were explored using RIDOR and JRip algorithms. Results The feature set was sufficient to assess 93% of anemia cases (intraclass correlation for alert level before and after review of the records by internists 1 and 2 were 0.92 and 0.95, respectively). High-precision classifiers were constructed to identify low-level alerts (precision p=0.87, recall R=0.4), iron deficiency (p=1.0, R=0.73), and anemia associated with kidney disease (p=0.87, R=0.77). Discussion It was possible to identify low-level alerts and several conditions commonly associated with chronic anemia. This approach may reduce the number of clinically unimportant alerts. The study was limited to anemia alerts. Furthermore, clinicians were aware of the study hypotheses potentially biasing their evaluation. Conclusion Implicit knowledge acquisition, collaborative filtering and machine learning were combined automatically to induce clinically meaningful and precise decision rules. PMID:22744961

  12. Near Real Time Applications for Maritime Situational Awareness

    NASA Astrophysics Data System (ADS)

    Schwarz, E.; Krause, D.; Berg, M.; Daedelow, H.; Maass, H.

    2015-04-01

    Applications to derive maritime value added products like oil spill and ship detection based on remote sensing SAR image data are being developed and integrated at the Ground Station Neustrelitz, part of the German Remote Sensing Data Center. Products of meteo-marine parameters like wind and wave will complement the product portfolio. Research and development aim at the implementation of highly automated services for operational use. SAR images are being used because of the possibility to provide maritime products with high spatial resolution over wide swaths and under all weather conditions. In combination with other information like Automatic Identification System (AIS) data fusion products are available to support the Maritime Situational Awareness.

  13. ERMHAN: A Context-Aware Service Platform to Support Continuous Care Networks for Home-Based Assistance

    PubMed Central

    Paganelli, Federica; Spinicci, Emilio; Giuli, Dino

    2008-01-01

    Continuous care models for chronic diseases pose several technology-oriented challenges for home-based continuous care, where assistance services rely on a close collaboration among different stakeholders such as health operators, patient relatives, and social community members. Here we describe Emilia Romagna Mobile Health Assistance Network (ERMHAN) a multichannel context-aware service platform designed to support care networks in cooperating and sharing information with the goal of improving patient quality of life. In order to meet extensibility and flexibility requirements, this platform has been developed through ontology-based context-aware computing and a service oriented approach. We also provide some preliminary results of performance analysis and user survey activity. PMID:18695739

  14. E-Learning and Context Aware e-Support Software for Maintenance

    NASA Astrophysics Data System (ADS)

    Papathanasiou, N.; Emmanouilidis, C.; Pistofidis, P.; Karampatzakis, D.

    2012-05-01

    Industrial Maintenance is seeking to enhance the efficiency of asset usage according to multiple criteria and constraints. Its implementation is facilitated by the application of a range of enabling technologies, termed in this context as e-Maintenance. Integrated e-Maintenance solutions can support a multitude of industrial maintenance procedures, from top-level management to low-level machinery technical issues. The level of complexity in these procedures varies greatly and requires a multidisciplinary level of skills from the involved personnel. Therefore, e-Maintenance applications can benefit from incorporating e-Learning and e-Support solutions. E-Learning can be an effective training method for maintenance, by providing cost effective, location-independent and easily updated training content. E-Support can be employed to provide technical staff with contextualized information and services in order to aid them with their assigned tasks. The WelCOM e-Maintenance architecture offers a framework that combines a networked infrastructure of intelligent wireless sensors, and a toolset of maintenance support services, linked to a CMMS. In this setting, one of the objectives is to integrate e-Learning in the form of web-based training modules and e-Support, by providing ubiquitous help through mobile devices to technical staff. The web-based learning is tailored to condition monitoring tasks, whereas the e-Support is planned to include instructions, videos, manuals or technical reports, all specially formatted to be delivered by a mobile device (tablet), exploiting its graphic, storage and networking capabilities. In this way, we aim for a smooth acceptance of the new e-Maintenance system, by providing easily accessible and context-depended support for maintenance personnel.

  15. Online updating of context-aware landmark detectors for prostate localization in daily treatment CT images

    PubMed Central

    Dai, Xiubin; Gao, Yaozong; Shen, Dinggang

    2015-01-01

    Purpose: In image guided radiation therapy, it is crucial to fast and accurately localize the prostate in the daily treatment images. To this end, the authors propose an online update scheme for landmark-guided prostate segmentation, which can fully exploit valuable patient-specific information contained in the previous treatment images and can achieve improved performance in landmark detection and prostate segmentation. Methods: To localize the prostate in the daily treatment images, the authors first automatically detect six anatomical landmarks on the prostate boundary by adopting a context-aware landmark detection method. Specifically, in this method, a two-layer regression forest is trained as a detector for each target landmark. Once all the newly detected landmarks from new treatment images are reviewed or adjusted (if necessary) by clinicians, they are further included into the training pool as new patient-specific information to update all the two-layer regression forests for the next treatment day. As more and more treatment images of the current patient are acquired, the two-layer regression forests can be continually updated by incorporating the patient-specific information into the training procedure. After all target landmarks are detected, a multiatlas random sample consensus (multiatlas RANSAC) method is used to segment the entire prostate by fusing multiple previously segmented prostates of the current patient after they are aligned to the current treatment image. Subsequently, the segmented prostate of the current treatment image is again reviewed (or even adjusted if needed) by clinicians before including it as a new shape example into the prostate shape dataset for helping localize the entire prostate in the next treatment image. Results: The experimental results on 330 images of 24 patients show the effectiveness of the authors’ proposed online update scheme in improving the accuracies of both landmark detection and prostate segmentation

  16. Online updating of context-aware landmark detectors for prostate localization in daily treatment CT images

    SciTech Connect

    Dai, Xiubin; Gao, Yaozong; Shen, Dinggang

    2015-05-15

    Purpose: In image guided radiation therapy, it is crucial to fast and accurately localize the prostate in the daily treatment images. To this end, the authors propose an online update scheme for landmark-guided prostate segmentation, which can fully exploit valuable patient-specific information contained in the previous treatment images and can achieve improved performance in landmark detection and prostate segmentation. Methods: To localize the prostate in the daily treatment images, the authors first automatically detect six anatomical landmarks on the prostate boundary by adopting a context-aware landmark detection method. Specifically, in this method, a two-layer regression forest is trained as a detector for each target landmark. Once all the newly detected landmarks from new treatment images are reviewed or adjusted (if necessary) by clinicians, they are further included into the training pool as new patient-specific information to update all the two-layer regression forests for the next treatment day. As more and more treatment images of the current patient are acquired, the two-layer regression forests can be continually updated by incorporating the patient-specific information into the training procedure. After all target landmarks are detected, a multiatlas random sample consensus (multiatlas RANSAC) method is used to segment the entire prostate by fusing multiple previously segmented prostates of the current patient after they are aligned to the current treatment image. Subsequently, the segmented prostate of the current treatment image is again reviewed (or even adjusted if needed) by clinicians before including it as a new shape example into the prostate shape dataset for helping localize the entire prostate in the next treatment image. Results: The experimental results on 330 images of 24 patients show the effectiveness of the authors’ proposed online update scheme in improving the accuracies of both landmark detection and prostate segmentation

  17. CANoE: A Context-Aware Notification Model to Support the Care of Older Adults in a Nursing Home

    PubMed Central

    Nava-Muñoz, Sandra; Morán, Alberto L.

    2012-01-01

    Taking care of elders in a nursing home is not an easy task. Caregivers face two major problems: a lack of awareness of the situations surrounding the elderly care and the lack of information regarding the availability and the activities of other caregivers to support their coordination process. Various efforts have proposed solutions to cope with these problems, but they do it without considering all the requirements imposed by the criticality of this type of environment. In this paper we propose CANoE, a model for the design of context-aware notifications in critical environments, such as a nursing home. The main feature of this model is that it considers three sources of context (the environment, and the issuer and the receiver of the notification) for adapting the content, the terms of delivery and the presentation of the notification message. Based on the CANoE model we developed the CANoE-Aw and CU-IDA systems, which were evaluated through two case studies in a nursing home. The results of these evaluations provide evidence that caregivers achieved an increased awareness of the situations of care of the elderly and perceived the systems as adequate tools to support their coordination while attending a situation of care. PMID:23112666

  18. Space situational awareness applications for radio astronomy assets

    NASA Astrophysics Data System (ADS)

    Watts, Galen; Ford, John M.; Ford, H. Alyson

    2015-05-01

    The National Radio Astronomy Observatory (NRAO) builds, operates, and maintains a suite of premier radio antennas, including the 100m aperture Green Bank Telescope, the largest fully-steerable antenna in the world. For more than five decades the NRAO has focused on astrophysics, providing researchers with the most advanced instruments possible: large apertures, extremely low-noise receivers, and signal processors with high frequency and time resolution. These instruments are adaptable to Space Situational Awareness (SSA) tasks such as radar detection of objects in near-Earth and cis-Lunar space, high accuracy orbit determination, object surveillance with passive methods, and uplink and downlink communications. We present the capabilities of antennas and infrastructure at the NRAO Green Bank Observatory in the context of SSA tasks, and discuss what additions and modifications would be necessary to achieve SSA goals while preserving existing radio astronomy performance. We also discuss how the Green Bank Observatory's surrounding topography and location within the National Radio Quiet Zone will enhance SSA endeavors.

  19. Context Management Platform for Tourism Applications

    PubMed Central

    Buján, David; Martín, David; Torices, Ortzi; López-de-Ipiña, Diego; Lamsfus, Carlos; Abaitua, Joseba; Alzua-Sorzabal, Aurkene

    2013-01-01

    The notion of context has been widely studied and there are several authors that have proposed different definitions of context. However, context has not been widely studied in the framework of human mobility and the notion of context has been imported directly from other computing fields without specifically addressing the tourism domain requirements. In order to store and manage context information a context data model and a context management platform are needed. Ontologies have been widely used in context modelling, but many of them are designed to be applied in general ubiquitous computing environments, do not contain specific concepts related to the tourism domain or some approaches do not contain enough concepts to represent context information related to the visitor on the move. That is why we propose a new approach to provide a better solution to model context data in tourism environments, adding more value to our solution reusing data about tourist resources from an Open Data repository and publishing it as Linked Data. We also propose the architecture for a context information management platform based on this context data model. PMID:23797739

  20. Context management platform for tourism applications.

    PubMed

    Buján, David; Martín, David; Torices, Ortzi; López-de-Ipiña, Diego; Lamsfus, Carlos; Abaitua, Joseba; Alzua-Sorzabal, Aurkene

    2013-01-01

    The notion of context has been widely studied and there are several authors that have proposed different definitions of context. However, context has not been widely studied in the framework of human mobility and the notion of context has been imported directly from other computing fields without specifically addressing the tourism domain requirements. In order to store and manage context information a context data model and a context management platform are needed. Ontologies have been widely used in context modelling, but many of them are designed to be applied in general ubiquitous computing environments, do not contain specific concepts related to the tourism domain or some approaches do not contain enough concepts to represent context information related to the visitor on the move. That is why we propose a new approach to provide a better solution to model context data in tourism environments, adding more value to our solution reusing data about tourist resources from an Open Data repository and publishing it as Linked Data. We also propose the architecture for a context information management platform based on this context data model. PMID:23797739

  1. Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis

    NASA Astrophysics Data System (ADS)

    Markovic, Marko; Dosen, Strahinja; Popovic, Dejan; Graimann, Bernhard; Farina, Dario

    2015-12-01

    Objective. Myoelectric activity volitionally generated by the user is often used for controlling hand prostheses in order to replicate the synergistic actions of muscles in healthy humans during grasping. Muscle synergies in healthy humans are based on the integration of visual perception, heuristics and proprioception. Here, we demonstrate how sensor fusion that combines artificial vision and proprioceptive information with the high-level processing characteristics of biological systems can be effectively used in transradial prosthesis control. Approach. We developed a novel context- and user-aware prosthesis (CASP) controller integrating computer vision and inertial sensing with myoelectric activity in order to achieve semi-autonomous and reactive control of a prosthetic hand. The presented method semi-automatically provides simultaneous and proportional control of multiple degrees-of-freedom (DOFs), thus decreasing overall physical effort while retaining full user control. The system was compared against the major commercial state-of-the art myoelectric control system in ten able-bodied and one amputee subject. All subjects used transradial prosthesis with an active wrist to grasp objects typically associated with activities of daily living. Main results. The CASP significantly outperformed the myoelectric interface when controlling all of the prosthesis DOF. However, when tested with less complex prosthetic system (smaller number of DOF), the CASP was slower but resulted with reaching motions that contained less compensatory movements. Another important finding is that the CASP system required minimal user adaptation and training. Significance. The CASP constitutes a substantial improvement for the control of multi-DOF prostheses. The application of the CASP will have a significant impact when translated to real-life scenarious, particularly with respect to improving the usability and acceptance of highly complex systems (e.g., full prosthetic arms) by amputees.

  2. A Standard-Based and Context-Aware Architecture for Personal Healthcare Smart Gateways.

    PubMed

    Santos, Danilo F S; Gorgônio, Kyller C; Perkusich, Angelo; Almeida, Hyggo O

    2016-10-01

    The rising availability of Personal Health Devices (PHDs) capable of Personal Network Area (PAN) communication and the desire of keeping a high quality of life are the ingredients of the Connected Health vision. In parallel, a growing number of personal and portable devices, like smartphones and tablet computers, are becoming capable of taking the role of health gateway, that is, a data collector for the sensor PHDs. However, as the number of PHDs increase, the number of other peripherals connected in PAN also increases. Therefore, PHDs are now competing for medium access with other devices, decreasing the Quality of Service (QoS) of health applications in the PAN. In this article we present a reference architecture to prioritize PHD connections based on their state and requirements, creating a healthcare Smart Gateway. Healthcare context information is extracted by observing the traffic through the gateway. A standard-based approach was used to identify health traffic based on ISO/IEEE 11073 family of standards. A reference implementation was developed showing the relevance of the problem and how the proposed architecture can assist in the prioritization. The reference Smart Gateway solution was integrated with a Connected Health System for the Internet of Things, validating its use in a real case scenario. PMID:27624493

  3. Introducing Intertextuality-Aware Instruction as a Novel Approach of Teaching Reading Passages in EFL Context

    ERIC Educational Resources Information Center

    Khaghaninejad, Mohammad Saber

    2014-01-01

    This study was an attempt to investigate the possible effect of intertextuality-aware instruction of reading passages on a sample of intermediate EFL learners of both genders. First, the intertextuality deployed through the reading passages of the study's course-book was focused inspired by Fairclough's (192) framework in terms of genre,…

  4. Metacognitive Awareness of EFL Student Writers in a Chinese ELT Context

    ERIC Educational Resources Information Center

    Ruan, Zhoulin

    2014-01-01

    This paper reports on an investigation into metacognitive awareness of Chinese English as a foreign language (EFL) student writers, under a threefold metacognition framework--person, task, and strategy variables, and within the broader domain of cognitive writing theories. Data were collected in a Chinese tertiary English language teaching (ELT)…

  5. Creating a Culture of Language Awareness in Content-Based Contexts

    ERIC Educational Resources Information Center

    Lindahl, Kristen; Watkins, Naomi M.

    2015-01-01

    A "toolkit" approach to professional development is frequently used to assist teachers of English language learners (ELLs), wherein teachers are provided a grab bag of activities and strategies to implement in their classrooms. However, today's heightened language demands call for teachers to develop teacher language awareness (TLA), a…

  6. A Mobile Context-Aware Framework for Managing Learning Schedules--Data Analysis from a Diary Study

    ERIC Educational Resources Information Center

    Yau, Jane Y.-K.; Joy, Mike; Dickert, Stephan

    2010-01-01

    We report the results of a diary study to determine whether a diary approach could be used as a successful way of retrieving a) the user's learning contexts, b) which learning contexts are significant for consideration within an m-learning application, and c) which learning materials are appropriate for which learning situation. Analyses of data…

  7. Team Awareness, Problem Drinking, and Drinking Climate: Workplace Social Health Promotion in a Policy Context

    PubMed Central

    Bennett, Joel B.; Patterson, Camille R.; Reynolds, G. Shawn; Wiitala, Wyndy L.; Lehman, Wayne E. K.

    2011-01-01

    Purpose (1) To determine the effectiveness of classroom health promotion/prevention training designed to improve work climate and alcohol outcomes; (2) to assess whether such training contributes to improvements in problem drinking beyond standard workplace alcohol policies. Design A cross-sectional survey assessed employee problem drinking across three time periods. This was followed by a prevention intervention study; work groups were randomly assigned to an 8-hour training course in workplace social health promotion (Team Awareness), a 4-hour informational training course, or a control group. Surveys were administered 2 to 4 weeks before and after training and 6 months after posttest. Setting and Subjects Employees were surveyed from work departments in a large municipality of 3000 workers at three points in time (year, sample, and response rates are shown): (1) 1992, n = 1081, 95%; (2) 1995, n = 856, 97%; and (3) 1999, n = 587, 73%. Employees in the 1999 survey were recruited from safety-sensitive departments and were randomly assigned to receive the psychosocial (n = 201), informational (n = 192), or control (n = 194) condition. Intervention The psychosocial program (Team Awareness) provided skills training in peer referral, team building, and stress management. Informational training used a didactic review of policy, employee assistance, and drug testing. Measures Self-reports measured alcohol use (frequency, drunkenness, hangovers, and problems) and work drinking climate (enabling, responsiveness, drinking norms, stigma, and drink with coworkers). Results Employees receiving Team Awareness reduced problem drinking from 20% to 11% and working with or missing work because of a hangover from 16% to 6%. Information-trained workers also reduced problem drinking from 18% to 10%. These rates of change contrast with changes in problem drinking seen from 1992 (24%) to 1999 (17%). Team Awareness improvements differed significantly from control subjects, which showed

  8. International note: awareness and context of cyber-harassment among secondary school students in Oyo state, Nigeria.

    PubMed

    Olumide, Adesola O; Adams, Patricia; Amodu, Olukemi K

    2015-02-01

    We determined the awareness and context of cyber-harassment among secondary school students (653 survey respondents and 18 in-depth interviewees) in Oyo state, Nigeria. Respondents' mean age was 14.2 ± 2.2 years and 53.9% were aware of cyber-harassment occurring in their school or among their friends. Cyber-harassment was often perpetrated via phone calls (62.5%), text messaging (36.9%), chat rooms (28.7%), through pictures or video clips sent via mobile phones (11.9%), emails (6.8%) or websites (5.9%). Cyber-harassment behaviours mentioned were the use of abusive words (25.4%), saying mean things or making fun of the victim (13.9%), solicitations for relationships (7.9%) or sex (6.8%) and spreading rumours about the victim (6.8%). In-depth interviewees recounted experiences of cyber-harassment suffered by their friends. Many were relationship-related, sexual solicitations and threats and corroborated quantitative findings. Respondents are aware of cyber-harassment occurring among students in the study area. Comprehensive interventions to address the problem need to be instituted. PMID:25544425

  9. A Context-Aware-Based Audio Guidance System for Blind People Using a Multimodal Profile Model

    PubMed Central

    Lin, Qing; Han, Youngjoon

    2014-01-01

    A wearable guidance system is designed to provide context-dependent guidance messages to blind people while they traverse local pathways. The system is composed of three parts: moving scene analysis, walking context estimation and audio message delivery. The combination of a downward-pointing laser scanner and a camera is used to solve the challenging problem of moving scene analysis. By integrating laser data profiles and image edge profiles, a multimodal profile model is constructed to estimate jointly the ground plane, object locations and object types, by using a Bayesian network. The outputs of the moving scene analysis are further employed to estimate the walking context, which is defined as a fuzzy safety level that is inferred through a fuzzy logic model. Depending on the estimated walking context, the audio messages that best suit the current context are delivered to the user in a flexible manner. The proposed system is tested under various local pathway scenes, and the results confirm its efficiency in assisting blind people to attain autonomous mobility. PMID:25302812

  10. A Context-Aware Mobile User Behavior-Based Neighbor Finding Approach for Preference Profile Construction.

    PubMed

    Gao, Qian; Fu, Deqian; Dong, Xiangjun

    2016-01-01

    In this paper, a new approach is adopted to update the user preference profile by seeking users with similar interests based on the context obtainable for a mobile network instead of from desktop networks. The trust degree between mobile users is calculated by analyzing their behavior based on the context, and then the approximate neighbors are chosen by combining the similarity of the mobile user preference and the trust degree. The approach first considers the communication behaviors between mobile users, the mobile network services they use as well as the corresponding context information. Then a similarity degree of the preference between users is calculated with the evaluation score of a certain mobile web service provided by a mobile user. Finally, based on the time attenuation function, the users with similar preference are found, through which we can dynamically update the target user's preference profile. Experiments are then conducted to test the effect of the context on the credibility among mobile users, the effect of time decay factors and trust degree thresholds. Simulation shows that the proposed approach outperforms two other methods in terms of Recall Ratio, Precision Ratio and Mean Absolute Error, because neither of them consider the context mobile information. PMID:26805852

  11. Adaptive Multimedia Content Delivery for Context-Aware U-Learning

    ERIC Educational Resources Information Center

    Zhao, Xinyou; Okamoto, Toshio

    2011-01-01

    Empowered by mobile computing, teachers and students can benefit from computing in more scenarios beyond the traditional computer classroom. But because of the much diversity of device specification, learning contents and mobile context existing today, the learners get a bad learning experience (e.g. rich contents cannot be displayed correctly)…

  12. Raising Language Awareness in Peer Interaction: A Cross-Context, Cross-Methodology Examination

    ERIC Educational Resources Information Center

    Sato, Masatoshi; Ballinger, Susan

    2012-01-01

    In this paper, both a cognitive and a sociocultural theoretical perspective are used to bring together findings from two studies that investigated the effects of instruction designed to enhance the potentially positive effect of peer interaction on L2 development. Despite differences between the studies' learning contexts, participants' age, and…

  13. Vision-Aided Context-Aware Framework for Personal Navigation Services

    NASA Astrophysics Data System (ADS)

    Saeedi, S.; Moussa, A.; El-Sheimy, N., , Dr.

    2012-07-01

    The ubiquity of mobile devices (such as smartphones and tablet-PCs) has encouraged the use of location-based services (LBS) that are relevant to the current location and context of a mobile user. The main challenge of LBS is to find a pervasive and accurate personal navigation system (PNS) in different situations of a mobile user. In this paper, we propose a method of personal navigation for pedestrians that allows a user to freely move in outdoor environments. This system aims at detection of the context information which is useful for improving personal navigation. The context information for a PNS consists of user activity modes (e.g. walking, stationary, driving, and etc.) and the mobile device orientation and placement with respect to the user. After detecting the context information, a low-cost integrated positioning algorithm has been employed to estimate pedestrian navigation parameters. The method is based on the integration of the relative user's motion (changes of velocity and heading angle) estimation based on the video image matching and absolute position information provided by GPS. A Kalman filter (KF) has been used to improve the navigation solution when the user is walking and the phone is in his/her hand. The Experimental results demonstrate the capabilities of this method for outdoor personal navigation systems.

  14. Situational awareness and its application in the delivery suite.

    PubMed

    Edozien, Leroy C

    2015-01-01

    The delivery suite is a high-risk environment. Transitions between low-risk and high-risk can be swift, and sentinel events can occur without warning. The prevention of accidents in this environment rests on the vigilance of the individual practitioner at the frontline. It is, therefore, important that the individual practitioner should develop and maintain the cognitive skills to anticipate, recognize, and intercept unfolding error chains. This commentary gives an overview of a nontechnical skill that is essential for safe practice in a delivery suite: situational awareness. A basic description of situational awareness is provided, using examples of loss of situational awareness in the delivery suite and examples of simple interventions that could promote situational awareness. Involuntary automaticity readily creeps in during performance of routine tasks, and cognitive overload could deplete attentional resources that are, by nature, limited. Strategies and tactics for maintaining situational awareness include proactively seeking and managing information on unfolding events, continually updating individual and team mental models, mindful use of checklists and scoreboards, and avoidance of attentional blindness. These simple interventions require minimal financial resources but could immensely enhance clinical performance and patient safety. Situational awareness should be included in the training of obstetrician-gynecologists and other staff working in a delivery suite. PMID:25560106

  15. Knowledge representations in ambient assisted living--context awareness in smart homes.

    PubMed

    Zilm, Franz-Albert; Scharnweber, Corinna; Haux, Reinhold

    2014-01-01

    This paper introduces a knowledge representation for smart home rules and scenarios. We have created a rule base based on the rules found during a literature review. Following this, a general rule concept was derived from the identified categories. Furthermore, subcategories for certain contexts in the smart home environment were identified and illustrated in the results by means of an extract of the rules found in the literature. Based on this information, a hierarchically structured nomenclature with four axes has been developed and evaluated. PMID:25160196

  16. Scientist-Centered Workflow Abstractions via Generic Actors, Workflow Templates, and Context-Awareness for Groundwater Modeling and Analysis

    SciTech Connect

    Chin, George; Sivaramakrishnan, Chandrika; Critchlow, Terence J.; Schuchardt, Karen L.; Ngu, Anne Hee Hiong

    2011-07-04

    A drawback of existing scientific workflow systems is the lack of support to domain scientists in designing and executing their own scientific workflows. Many domain scientists avoid developing and using workflows because the basic objects of workflows are too low-level and high-level tools and mechanisms to aid in workflow construction and use are largely unavailable. In our research, we are prototyping higher-level abstractions and tools to better support scientists in their workflow activities. Specifically, we are developing generic actors that provide abstract interfaces to specific functionality, workflow templates that encapsulate workflow and data patterns that can be reused and adapted by scientists, and context-awareness mechanisms to gather contextual information from the workflow environment on behalf of the scientist. To evaluate these scientist-centered abstractions on real problems, we apply them to construct and execute scientific workflows in the specific domain area of groundwater modeling and analysis.

  17. Young children's racial awareness and affect and their perceptions about mothers' racial affect in a multiracial context.

    PubMed

    Lam, Virginia; Guerrero, Silvia; Damree, Natasha; Enesco, Ileana

    2011-11-01

    There is a substantial literature documenting pre-schoolers' racial awareness and affect from multiracial societies in North America and a fast-growing body of work from societies that are or were once more racially homogeneous. However, studies in Britain, a racially diverse society, on this developmental period have been curiously rare. This study examined racial awareness and affect of 125 White, Black, and Asian 3--to 5-year-olds in London. Children were tested on cognitive level, person description and classification, race labelling and matching, self-categorization and asked about their racial preference and rejection and inferences about their mothers' preference and rejection. Children were least likely to use race versus other categorical cues to spontaneously describe or classify others, even though the majority correctly sorted others by race labels, matched them to drawings, and categorized themselves by race. With age and increasing cognitive level, children described and categorized others by race more and improved in race matching. White children from age 4 preferred White peers and inferred that their mothers would prefer White children at age 5. Children's own preference and inference about mothers are related. Children did not show race-based rejection, but boys inferred that their mothers would prefer White children and reject Black children. The findings are discussed in relation to racial salience between contexts, previous research, and theories. PMID:21199507

  18. Context-Aware Data and IT Services Collaboration in E-Business

    NASA Astrophysics Data System (ADS)

    Boukadi, Khouloud; Ghedira, Chirine; Maamar, Zakaria; Benslimane, Djamal; Vincent, Lucien

    This paper discusses the use of services in the design and development of adaptable business processes, which should let organizations quickly react to changes in regulations and needs. Two types of services are adopted namely Data and Information Technology. A data service is primarily used to hide the complexity of accessing distributed and heterogeneous data sources, while an information technology service is primarily used to hide the complexity of running requests that cross organizational boundaries. The combination of both services takes place under the control of another service, which is denoted by service domain. A service domain orchestrates and manages data and information technology services in response to the events that arise and changes that occur. This happens because service domains are sensible to context. Policies and aspect-oriented programming principles support the exercise of packaging data and information technology services into service domains as well as making service domains adapt to business changes.

  19. Semantic Web Technologies for the Integration of Learning Tools and Context-Aware Educational Services

    NASA Astrophysics Data System (ADS)

    Jeremić, Zoran; Jovanović, Jelena; Gašević, Dragan

    One of the main software engineers' competencies, solving software problems, is most effectively acquired through an active examination of learning resources and work on real-world examples in small development teams. This obviously indicates a need for an integration of several existing learning tools and systems in a common collaborative learning environment, as well as advanced educational services that provide students with right in time advice about learning resources and possible collaboration partners. In this paper, we present how we developed and applied a common ontological foundation for the integration of different existing learning tools and systems in a common learning environment called DEPTHS (Design Patterns Teaching Help System). In addition, we present a set of educational services that leverages semantic rich representation of learning resources and students' interaction data to recommend resource relevant for students' current learning context.

  20. Awareness of Biotechnological Application: A Study among University Geography Students

    ERIC Educational Resources Information Center

    Ozel, Ali; Terzi, Irfan; Ozel, Emine

    2009-01-01

    The aim of this study is to measure the differences of university geography students about biotechnology. Therefore an awareness scale was developed by the researcher. 102 students from six different universities and their academic levels were included in the survey. The findings of the survey were evaluated both descriptively and statistically.…

  1. Cloud computing for context-aware enhanced m-Health services.

    PubMed

    Fernandez-Llatas, Carlos; Pileggi, Salvatore F; Ibañez, Gema; Valero, Zoe; Sala, Pilar

    2015-01-01

    m-Health services are increasing its presence in our lives due to the high penetration of new smartphone devices. This new scenario proposes new challenges in terms of information accessibility that require new paradigms which enable the new applications to access the data in a continuous and ubiquitous way, ensuring the privacy required depending on the kind of data accessed. This paper proposes an architecture based on cloud computing paradigms in order to empower new m-Health applications to enrich their results by providing secure access to user data. PMID:25417085

  2. Social Email: A Framework and Application for More Socially-Aware Communications

    NASA Astrophysics Data System (ADS)

    Tran, Thomas; Rowe, Jeff; Wu, S. Felix

    As online social networks (OSN) attempt to mimic real life social networks, we have made progress towards using OSNs to provide us with data to allow for richer and more robust online communications. In this paper, we present a novel approach towards socially-aware email. Currently, email provides too little control to the recipient. Our approach, dubbed SoEmail, provides social context to messages using an OSN's underlying social graph. This not only gives the recipient control over who can message her, but it also provides her with an understanding of where the message originated from, socially. Furthermore, users who do not wish to use the built-in social aspect of SoEmail, can send and receive emails without any changes to their behavior. The modifications we made to the email application to provide this social context are not invasive and can be easily ignored by any existing email client. We built SoEmail on top of an existing framework, known as Davis Social Links, which allows SoEmail to be completely agnostic about the underlying OSN. We created a web-based, standards-based web client for SoEmail using Facebook and Gmail as the underlying systems which has been released for public use and has had a good adoption rate.

  3. A Context-Aware Paradigm for Information Discovery and Dissemination in Mobile Environments

    ERIC Educational Resources Information Center

    Lundquist, Doug

    2011-01-01

    The increasing power and ubiquity of mobile wireless devices is enabling real-time information delivery for many diverse applications. A crucial question is how to allocate finite network resources efficiently and fairly despite the uncertainty common in highly dynamic mobile ad hoc networks. We propose a set of routing protocols, Self-Balancing…

  4. A Context-Aware Mobile Learning System for Supporting Cognitive Apprenticeships in Nursing Skills Training

    ERIC Educational Resources Information Center

    Wu, Po-Han; Hwang, Gwo-Jen; Su, Liang-Hao; Huang, Yueh-Min

    2012-01-01

    The aim of nursing education is to foster in students the competence of applying integrated knowledge with clinical skills to the application domains. In the traditional approach, in-class knowledge learning and clinical skills training are usually conducted separately, such that the students might not be able to integrate the knowledge and the…

  5. A framework for a context-aware elderly entertainment support system.

    PubMed

    Hossain, M Anwar; Alamri, Atif; Almogren, Ahmad S; Hossain, S K Alamgir; Parra, Jorge

    2014-01-01

    Elderly people constitute a major portion of world's population. Many of them are physically and mentally vulnerable and need continuous support for their health and well-being. There is a growing trend that these elderly people are placed in an ambient assisted living environment (AAL) with an aim to receive better care and support. In such settings, a lot of attention has been given to continuous health monitoring for maintaining physical health status. However, much less attention has been given toward understanding the entertainment needs of the elderly people, which is an important factor relevant to their mental health and joyful living. This paper thus addresses the entertainment needs of the elderly and proposes a framework of an elderly entertainment support system. The proposed framework enables different categories of residents (e.g., elderly people and caregivers) to access various media services in both implicit and explicit manner in order to enhance the quality of their living experience in different contexts. Our experimental results demonstrate the viability of the proposed framework. We believe that the proposed approach will establish the need to develop entertainment systems and services for the elderly people and allow us to sensibly address the problems associated with their independent, happy and active living. PMID:24936946

  6. A Framework for a Context-Aware Elderly Entertainment Support System

    PubMed Central

    Hossain, M. Anwar; Alamri, Atif; Almogren, Ahmad S.; Hossain, SK Alamgir; Parra, Jorge

    2014-01-01

    Elderly people constitute a major portion of world's population. Many of them are physically and mentally vulnerable and need continuous support for their health and well-being. There is a growing trend that these elderly people are placed in an ambient assisted living environment (AAL) with an aim to receive better care and support. In such settings, a lot of attention has been given to continuous health monitoring for maintaining physical health status. However, much less attention has been given toward understanding the entertainment needs of the elderly people, which is an important factor relevant to their mental health and joyful living. This paper thus addresses the entertainment needs of the elderly and proposes a framework of an elderly entertainment support system. The proposed framework enables different categories of residents (e.g., elderly people and caregivers) to access various media services in both implicit and explicit manner in order to enhance the quality of their living experience in different contexts. Our experimental results demonstrate the viability of the proposed framework. We believe that the proposed approach will establish the need to develop entertainment systems and services for the elderly people and allow us to sensibly address the problems associated with their independent, happy and active living. PMID:24936946

  7. A Novel Software Architecture for the Provision of Context-Aware Semantic Transport Information

    PubMed Central

    Moreno, Asier; Perallos, Asier; López-de-Ipiña, Diego; Onieva, Enrique; Salaberria, Itziar; Masegosa, Antonio D.

    2015-01-01

    The effectiveness of Intelligent Transportation Systems depends largely on the ability to integrate information from diverse sources and the suitability of this information for the specific user. This paper describes a new approach for the management and exchange of this information, related to multimodal transportation. A novel software architecture is presented, with particular emphasis on the design of the data model and the enablement of services for information retrieval, thereby obtaining a semantic model for the representation of transport information. The publication of transport data as semantic information is established through the development of a Multimodal Transport Ontology (MTO) and the design of a distributed architecture allowing dynamic integration of transport data. The advantages afforded by the proposed system due to the use of Linked Open Data and a distributed architecture are stated, comparing it with other existing solutions. The adequacy of the information generated in regard to the specific user’s context is also addressed. Finally, a working solution of a semantic trip planner using actual transport data and running on the proposed architecture is presented, as a demonstration and validation of the system. PMID:26016915

  8. A novel software architecture for the provision of context-aware semantic transport information.

    PubMed

    Moreno, Asier; Perallos, Asier; López-de-Ipiña, Diego; Onieva, Enrique; Salaberria, Itziar; Masegosa, Antonio D

    2015-01-01

    The effectiveness of Intelligent Transportation Systems depends largely on the ability to integrate information from diverse sources and the suitability of this information for the specific user. This paper describes a new approach for the management and exchange of this information, related to multimodal transportation. A novel software architecture is presented, with particular emphasis on the design of the data model and the enablement of services for information retrieval, thereby obtaining a semantic model for the representation of transport information. The publication of transport data as semantic information is established through the development of a Multimodal Transport Ontology (MTO) and the design of a distributed architecture allowing dynamic integration of transport data. The advantages afforded by the proposed system due to the use of Linked Open Data and a distributed architecture are stated, comparing it with other existing solutions. The adequacy of the information generated in regard to the specific user's context is also addressed. Finally, a working solution of a semantic trip planner using actual transport data and running on the proposed architecture is presented, as a demonstration and validation of the system. PMID:26016915

  9. A Cognitive-Developmental Model of Emotional Awareness and Its Application to the Practice of Psychotherapy.

    PubMed

    Chhatwal, Jasleen; Lane, Richard D

    2016-01-01

    The ability to be aware of one's own emotional states has been a time-honored ingredient of successful psychodynamic psychotherapy. With the rise of cognitive-behavioral therapy (CBT), however, the utility of experiencing and reflecting upon emotional experience has become less certain, and a quantifiable measure of emotional awareness for clinicians has not been previously available. Several recent advances cast the role of emotional awareness in psychotherapy in a different light: (1) a new theory of change in psychotherapy has been formulated that highlights emotional experience as an important ingredient of change in a variety of modalities; (2) new evidence shows that individual differences in the capacity for emotional awareness predict successful psychotherapeutic outcome in the treatment of panic disorder both by manualized psychodynamic psychotherapy and CBT; and (3) a new online version of the electronic Levels of Emotional Awareness Scale (eLEAS) has been created that can be used with individual patients as a guide to psychotherapy treatment. Here we review evidence of a reliable and valid measure of emotional awareness that has been used in both normative and clinical contexts. The psychotherapeutic treatment of three patients is described to illustrate the clinical manifestations of the different levels of emotional awareness and the ways the eLEAS can be useful in the clinical context, including (1) assessment of the patient's current level of emotional functioning and his or her potential for higher levels of functioning, (2) the targeting of interventions to facilitate functioning at the next level, and (3) a possible marker of treatment progress. These observations suggest that the eLEAS has the potential to be a clinically useful tool that may assist clinicians in guiding psychotherapy treatment. PMID:27200467

  10. HPCC technology awareness program: Improved economic competitiveness through technology awareness, transfer and application. Final report

    SciTech Connect

    Not Available

    1994-04-01

    A need has been defined by Congress for the DOE National Laboratories to participate in various dual use and technology transfer programs. This requirement has spawned several technology transfer approaches at the DOE laboratories. These programs are designed to encourage large and small business to bring their problems and needs forward, and to allow the labs to transfer effective high performance computing technology to the commercial marketplace. This IG Technologies grant from the DOE was undertaken to address the issues and problems associated with technology transfer between the DOE National Laboratories and commercial industry. The key focus is to gain an understanding of how DOE and industry independently and collectively view the requirements and the missing elements that could allow DOE to facilitate HPCC technology transfer. At issue is HPCC Technology Transfer for the High Performance Computing industry and its relationship to the DOE National Laboratories. Several observations on this are addressed. The issue of a ``Technology Utilization Gap`` between the National Laboratories and Independent Software Vendors is discussed. This study addressed the HPCC Technology Transfer plans of all six DOE National Labs. Study team members briefed numerous industrial users of HPCC technology as to the feasibility of technology transfer for various applications. Significant findings of the effort are that the resistance to technology transfer is much higher than anticipated for both the National Labs and industry. Also, HPCC Technology Transfer is observed to be a large company`s dominion. Small businesses have a difficult time in addressing the requirements of technology transfer using Cooperative Research and Development Agreements (CRADA`s). Large businesses and the DOE National Labs however, often have requirements and objectives which are at cross purposes, making effective technology transfer difficult.

  11. Data location-aware job scheduling in the grid. Application to the GridWay metascheduler

    NASA Astrophysics Data System (ADS)

    Delgado Peris, Antonio; Hernandez, Jose; Huedo, Eduardo; Llorente, Ignacio M.

    2010-04-01

    Grid infrastructures constitute nowadays the core of the computing facilities of the biggest LHC experiments. These experiments produce and manage petabytes of data per year and run thousands of computing jobs every day to process that data. It is the duty of metaschedulers to allocate the tasks to the most appropriate resources at the proper time. Our work reviews the policies that have been proposed for the scheduling of grid jobs in the context of very data-intensive applications. We indicate some of the practical problems that such models will face and describe what we consider essential characteristics of an optimum scheduling system: aim to minimise not only job turnaround time but also data replication, flexibility to support different virtual organisation requirements and capability to coordinate the tasks of data placement and job allocation while keeping their execution decoupled. These ideas have guided the development of an enhanced prototype for GridWay, a general purpose metascheduler, part of the Globus Toolkit and member of the EGEE's RESPECT program. Current GridWay's scheduling algorithm is unaware of data location. Our prototype makes it possible for job requests to set data needs not only as absolute requirements but also as functions for resource ranking. As our tests show, this makes it more flexible than currently used resource brokers to implement different data-aware scheduling algorithms.

  12. Implementations of the HL7 Context-Aware Knowledge Retrieval (“Infobutton”) Standard: Challenges, Strengths, Limitations, and Uptake

    PubMed Central

    Del Fiol, Guilherme; Huser, Vojtech; Strasberg, Howard R; Maviglia, Saverio M; Curtis, Clayton; Cimino, James J

    2012-01-01

    To support clinical decision-making,computerized information retrieval tools known as “infobuttons” deliver contextually-relevant knowledge resources intoclinical information systems.The Health Level Seven International(HL7)Context-Aware Knowledge Retrieval (Infobutton) Standard specifies a standard mechanism to enable infobuttons on a large scale. Objective To examine the experience of organizations in the course of implementing the HL7 Infobutton Standard. Method Cross-sectionalonline survey and in-depth phone interviews. Results A total of 17 organizations participated in the study.Analysis of the in-depth interviews revealed 20 recurrent themes.Implementers underscored the benefits, simplicity, and flexibility of the HL7 Infobutton Standard. Yet, participants voiced the need for easier access to standard specifications and improved guidance to beginners. Implementers predicted that the Infobutton Standard will be widely or at least fairly well adopted in the next five years, but uptake will dependlargely on adoption among electronic health record (EHR) vendors. To accelerate EHR adoption of the Infobutton Standard,implementers recommended HL7-compliant infobutton capabilities to be included in the United States Meaningful Use Certification Criteria EHR systems. Limitations Opinions and predictions should be interpreted with caution, since all the participant organizations have successfully implemented the Standard and overhalf of the organizations were actively engaged in the development of the Standard. Conclusion Overall, implementers reported a very positive experience with the HL7 Infobutton Standard.Despite indications of increasing uptake, measures should be taken to stimulate adoption of the Infobutton Standard among EHR vendors. Widespread adoption of the Infobutton standard has the potential to bring contextually relevant clinical decision support content into the healthcare provider workflow. PMID:22226933

  13. CASAIR: Content and Shape-Aware Image Retargeting and Its Applications.

    PubMed

    Qi, Shaoyu; Chi, Yu-Tseh Jason; Peter, Adrian M; Ho, Jeffrey

    2016-05-01

    This paper proposes a novel image-retargeting algorithm that can retarget images to a large family of non-rectangular shapes. Specifically, we study image retargeting from a broader perspective that includes the content as well as the shape of an image, and the proposed content and shape-aware image-retargeting (CASAIR) algorithm is driven by the dual objectives of image content preservation and image domain transformation, with the latter defined by an application-specific target shape. The algorithm is based on the idea of seam segment carving that successively removes low-cost seam segments from the image to simultaneously achieve the two objectives, with the selection of seam segments determined by a cost function incorporating inputs from image content and target shape. To provide a complete characterization of shapes that can be obtained using CASAIR, we introduce the notion of bhv-convex shapes, and we show that bhv-convex shapes are precisely the family of shapes that can be retargeted to by CASAIR. The proposed algorithm is simple in both its design and implementation, and in practice, it offers an efficient and effective retargeting platform that provides its users with considerable flexibility in choosing target shapes. To demonstrate the potential of CASAIR for broadening the application scope of image retargeting, this paper also proposes a smart camera-projector system that incorporates CASAIR. In the context of ubiquitous display, CASAIR equips the camera-projector system with the capability of retargeting images online in order to maximize the quality and fidelity of the displayed images whenever the situation demands. PMID:26886994

  14. The Learning Management System at the Defence University: Awareness and Application

    ERIC Educational Resources Information Center

    Juhary, Jowati

    2013-01-01

    This brief paper examines the issues of awareness and application of a Learning Management System (LMS) used at the National Defence University of Malaysia (NDUM), Kuala Lumpur Malaysia. The paper argues that due to the discouraging responses from academics at the university on using the LMS, proactive measures must be taken immediately in order…

  15. Awareness and Misconceptions of High School Students about Renewable Energy Resources and Applications: Turkey Case

    ERIC Educational Resources Information Center

    Tortop, Hasan Said

    2012-01-01

    Turkey is the one of the countries in the world which has potential of renewable energy resource because of its geographical position. However, being usage of renewable energy resources and applications (RERAs) is low, it shows that awareness and consciousness of RERAs is very low too. Education must play a key role in growing out of an energy…

  16. An integrated modular power-aware microsensor architecture and application to unattended acoustic vehicle tracking

    NASA Astrophysics Data System (ADS)

    Bajura, Michael; Schott, Brian; Flidr, Jaroslav; Czarnaski, Joe; Worth, Carl; Tho, Tam; Wang, Li

    2005-05-01

    We introduce a truly modular, power-aware, distributed microsensor architecture, capable of seamlessly spanning performance metrics from point-optimized low-power to point-optimized high-power applications. This type of performance is often needed in unattended ground sensor applications such as acoustic sensing and tracking, where long periods of minimal sensing activity are intermixed with short periods of intense sensor processing. The system design and implementation of a microsensor platform based on this architecture are described with experimental results. We show that although building a modular power-aware system requires additional hardware components, it results in system capable of rapid physical hardware and software reconfiguration with module reuse for new applications, while achieving a significant decrease in overall system power.

  17. The impact of a rural or urban context in eating awareness and self-regulation strategies in children and adolescents from eight European countries.

    PubMed

    Gaspar, Tania; de Matos, Margarida Gaspar; Luszczynska, Aleksandra; Baban, Adriana; Wit, John

    2014-06-01

    Complex relationships exist between eating behaviour and personal and environmental factors. Rural and urban geographic contexts seem to play a role in eating behaviour, and therefore deserve a deeper study. A healthy eating behaviour and the conditions that promote it are a major issue in the promotion of adolescent health. The study aims to investigate the associations between the area of residence (urban vs. rural), self-regulation strategies (TESQ-E) and eating behaviours among children and adolescents. A total of 11,820 adolescents (50.6% girls) participated in the study, with a mean age of 13.30 years (SD= 2.13). Nine countries (The Netherlands, United Kingdom, Poland, Portugal, Denmark, Romania, Germany, Finland and Belgium) completed a questionnaire in the school context, asking about the use of self-regulation strategies, eating behaviour awareness/care and sociodemographic questions such as age, gender and residential area. Both areas of residence (urban vs. rural) are associated with eating awareness/care in Romania and Portugal, controlling for age, gender and self-regulation strategies. In some European countries at least, and most probably around the world, health promotion should focus on an ecological approach that includes the understanding of the effect of both environmental factors and personal skills on eating behaviour/awareness. PMID:24821504

  18. Context representation and fusion: advancements and opportunities.

    PubMed

    Khattak, Asad Masood; Akbar, Noman; Aazam, Mohammad; Ali, Taqdir; Khan, Adil Mehmood; Jeon, Seokhee; Hwang, Myunggwon; Lee, Sungyoung

    2014-01-01

    The acceptance and usability of context-aware systems have given them the edge of wide use in various domains and has also attracted the attention of researchers in the area of context-aware computing. Making user context information available to such systems is the center of attention. However, there is very little emphasis given to the process of context representation and context fusion which are integral parts of context-aware systems. Context representation and fusion facilitate in recognizing the dependency/relationship of one data source on another to extract a better understanding of user context. The problem is more critical when data is emerging from heterogeneous sources of diverse nature like sensors, user profiles, and social interactions and also at different timestamps. Both the processes of context representation and fusion are followed in one way or another; however, they are not discussed explicitly for the realization of context-aware systems. In other words most of the context-aware systems underestimate the importance context representation and fusion. This research has explicitly focused on the importance of both the processes of context representation and fusion and has streamlined their existence in the overall architecture of context-aware systems' design and development. Various applications of context representation and fusion in context-aware systems are also highlighted in this research. A detailed review on both the processes is provided in this research with their applications. Future research directions (challenges) are also highlighted which needs proper attention for the purpose of achieving the goal of realizing context-aware systems. PMID:24887042

  19. Context Representation and Fusion: Advancements and Opportunities

    PubMed Central

    Khattak, Asad Masood; Akbar, Noman; Aazam, Mohammad; Ali, Taqdir; Khan, Adil Mehmood; Jeon, Seokhee; Hwang, Myunggwon; Lee, Sungyoung

    2014-01-01

    The acceptance and usability of context-aware systems have given them the edge of wide use in various domains and has also attracted the attention of researchers in the area of context-aware computing. Making user context information available to such systems is the center of attention. However, there is very little emphasis given to the process of context representation and context fusion which are integral parts of context-aware systems. Context representation and fusion facilitate in recognizing the dependency/relationship of one data source on another to extract a better understanding of user context. The problem is more critical when data is emerging from heterogeneous sources of diverse nature like sensors, user profiles, and social interactions and also at different timestamps. Both the processes of context representation and fusion are followed in one way or another; however, they are not discussed explicitly for the realization of context-aware systems. In other words most of the context-aware systems underestimate the importance context representation and fusion. This research has explicitly focused on the importance of both the processes of context representation and fusion and has streamlined their existence in the overall architecture of context-aware systems’ design and development. Various applications of context representation and fusion in context-aware systems are also highlighted in this research. A detailed review on both the processes is provided in this research with their applications. Future research directions (challenges) are also highlighted which needs proper attention for the purpose of achieving the goal of realizing context-aware systems. PMID:24887042

  20. Video-Based Eye Tracking to Detect the Attention Shift: A Computer Classroom Context-Aware System

    ERIC Educational Resources Information Center

    Kuo, Yung-Lung; Lee, Jiann-Shu; Hsieh, Min-Chai

    2014-01-01

    Eye and head movements evoked in response to obvious visual attention shifts. However, there has been little progress on the causes of absent-mindedness so far. The paper proposes an attention awareness system that captures the conditions regarding the interaction of eye gaze and head pose under various attentional switching in computer classroom.…

  1. Understanding Total Quality Management in Context: Qualitative Research on Managers' Awareness of TQM Aspects in the Greek Service Industry

    ERIC Educational Resources Information Center

    Psychogios, Alexandros G.; Priporas, Constantinos-Vasilios

    2007-01-01

    This study addresses managers' awareness and familiarity with Total Quality Management (TQM). Eighteen (18) semi-structured, in-depth interviews were conducted with managers working in a variety of service organizations in Greece. The major argument of the study is that although the acronym TQM and some of its concepts and practices are known by a…

  2. Language Awareness.

    ERIC Educational Resources Information Center

    Carter, Ronald

    2003-01-01

    Discusses the concept of language awareness and its use in language teaching, which refers to the development in learners of an enhanced consciousness of and sensitivity to the forms and functions of language. The approach has been developed in the contexts of both second and foreign language learning, as well as in mother tongue education.…

  3. A Context-Aware Mobile User Behavior-Based Neighbor Finding Approach for Preference Profile Construction †

    PubMed Central

    Gao, Qian; Fu, Deqian; Dong, Xiangjun

    2016-01-01

    In this paper, a new approach is adopted to update the user preference profile by seeking users with similar interests based on the context obtainable for a mobile network instead of from desktop networks. The trust degree between mobile users is calculated by analyzing their behavior based on the context, and then the approximate neighbors are chosen by combining the similarity of the mobile user preference and the trust degree. The approach first considers the communication behaviors between mobile users, the mobile network services they use as well as the corresponding context information. Then a similarity degree of the preference between users is calculated with the evaluation score of a certain mobile web service provided by a mobile user. Finally, based on the time attenuation function, the users with similar preference are found, through which we can dynamically update the target user’s preference profile. Experiments are then conducted to test the effect of the context on the credibility among mobile users, the effect of time decay factors and trust degree thresholds. Simulation shows that the proposed approach outperforms two other methods in terms of Recall Ratio, Precision Ratio and Mean Absolute Error, because neither of them consider the context mobile information. PMID:26805852

  4. Website Analysis in an EFL Context: Content Comprehension, Perceptions on Web Usability and Awareness of Reading Strategies

    ERIC Educational Resources Information Center

    Roy, Debopriyo; Crabbe, Stephen

    2015-01-01

    Website analysis is an interdisciplinary field of inquiry that focuses on both digital literacy and language competence (Brugger, 2009). Website analysis in an EFL learning context has the potential to facilitate logical thinking and in the process develop functional language proficiency. This study reported on an English language website…

  5. Marine and coastal environmental awareness building within the context of UNESCO's activities in Asia and the Pacific.

    PubMed

    Kuijper, Maarten W M

    2003-01-01

    UNESCO is one of the specialized agencies under the United Nations charged with the advancement and improvement of education, social and natural sciences, culture and communication. This global mandate translates into programmes in the field tailored to the member states' specific requirements that build on the full breadth of expertise available in UNESCO. Environmental awareness building is an integral component of many of UNESCO's programmes. This paper describes how UNESCO addresses the need for awareness building in a variety of settings under different programmes and sectors. A first example is taken from the work of the education sector, which aims at introducing innovative learning methods and curricula that change or cultivate the perspective of people of all ages on sustainable development. The second example is taken from the Man and Biosphere Programme. The Biosphere Reserve concept has had a long history within UNESCO and is increasingly applied to protected areas in the coastal zone. Notable examples are Ranong Biosphere Reserve in Thailand, Can Gio Biosphere Reserve in Vietnam and the Island of Palawan in the Philippines. The concept is currently experiencing a revival as more and more countries realize the importance of striking a balance between human development and strict conservation. Many people know about UNESCO through the so-called World Heritage Sites. These are sites that are recognized by the world community as particular monuments, either natural or cultural, that warrant preservation for the whole of mankind. In the Asia-Pacific region, there are quite a number of coastal and marine sites that have been designated as natural world heritage sites, e.g. Halong Bay in Vietnam, the Komodo marine national park, Indonesia, the Great Barrier Reef in Australia, East-Rennell Island in the Solomon Islands, and Tubbataha Reef in the Philippines. The need for a cross-sectoral approach is evident under the so-called Coastal Zone and Small Islands

  6. Antibody performance in western blot applications is context-dependent.

    PubMed

    Algenäs, Cajsa; Agaton, Charlotta; Fagerberg, Linn; Asplund, Anna; Björling, Lisa; Björling, Erik; Kampf, Caroline; Lundberg, Emma; Nilsson, Peter; Persson, Anja; Wester, Kenneth; Pontén, Fredrik; Wernérus, Henrik; Uhlén, Mathias; Ottosson Takanen, Jenny; Hober, Sophia

    2014-03-01

    An important concern for the use of antibodies in various applications, such as western blot (WB) or immunohistochemistry (IHC), is specificity. This calls for systematic validations using well-designed conditions. Here, we have analyzed 13 000 antibodies using western blot with lysates from human cell lines, tissues, and plasma. Standardized stratification showed that 45% of the antibodies yielded supportive staining, and the rest either no staining (12%) or protein bands of wrong size (43%). A comparative study of WB and IHC showed that the performance of antibodies is application-specific, although a correlation between no WB staining and weak IHC staining could be seen. To investigate the influence of protein abundance on the apparent specificity of the antibody, new WB analyses were performed for 1369 genes that gave unsupportive WBs in the initial screening using cell lysates with overexpressed full-length proteins. Then, more than 82% of the antibodies yielded a specific band corresponding to the full-length protein. Hence, the vast majority of the antibodies (90%) used in this study specifically recognize the target protein when present at sufficiently high levels. This demonstrates the context- and application-dependence of antibody validation and emphasizes that caution is needed when annotating binding reagents as specific or cross-reactive. WB is one of the most commonly used methods for validation of antibodies. Our data implicate that solely using one platform for antibody validation might give misleading information and therefore at least one additional method should be used to verify the achieved data. PMID:24403002

  7. Abstractions of Awareness: Aware of What?

    NASA Astrophysics Data System (ADS)

    Metaxas, Georgios; Markopoulos, Panos

    This chapter presents FN-AAR, an abstract model of awareness systems. The purpose of the model is to capture in a concise and abstract form essential aspects of awareness systems, many of which have been discussed in design essays or in the context of evaluating specific design solutions.

  8. Morphological awareness assessment and intervention to improve language and literacy.

    PubMed

    Wolter, Julie A; Gibson, Frances E

    2015-02-01

    Morphological awareness positively influences language and literacy development and may be an ideal intervention focus for improving vocabulary, sight word reading, reading decoding, and reading comprehension in students with and without language and literacy deficits. This article will provide supporting theory, research, and strategies for implementing morphological awareness intervention with students with language and literacy deficits. Additionally, functional connections are explored through the incorporation and application of morphological awareness intervention in academic literacy contexts linked to Common Core State Standards. PMID:25633142

  9. An Adaptive Loss-Aware Flow Control Scheme for Delay-Sensitive Applications in OBS Networks

    NASA Astrophysics Data System (ADS)

    Jeong, Hongkyu; Choi, Jungyul; Mo, Jeonghoon; Kang, Minho

    Optical Burst Switching (OBS) is one of the most promising switching technologies for next generation optical networks. As delay-sensitive applications such as Voice-over-IP (VoIP) have recently become popular, OBS networks should guarantee stringent Quality of Service (QoS) requirements for such applications. Thus, this paper proposes an Adaptive Loss-aware Flow Control (ALFC) scheme, which adaptively decides on the burst offset time based on loss-rate information delivered from core nodes for assigning a high priority to delay-sensitive application traffic. The proposed ALFC scheme also controls the upper-bounds of the factors inducing delay and jitter for guaranteeing the delay and jitter requirements of delay-sensitive application traffic. Moreover, a piggybacking method used in the proposed scheme accelerates the guarantee of the loss, delay, and jitter requirements because the response time for flow control can be extremely reduced up to a quarter of the Round Trip Time (RTT) on average while minimizing the signaling overhead. Simulation results show that our mechanism can guarantee a 10-3 loss-rate under any traffic load while offering satisfactory levels of delay and jitter for delay-sensitive applications.

  10. Semantic-Aware Automatic Parallelization of Modern Applications Using High-Level Abstractions

    SciTech Connect

    Liao, C; Quinlan, D J; Willcock, J J; Panas, T

    2009-12-21

    Automatic introduction of OpenMP for sequential applications has attracted significant attention recently because of the proliferation of multicore processors and the simplicity of using OpenMP to express parallelism for shared-memory systems. However, most previous research has only focused on C and Fortran applications operating on primitive data types. Modern applications using high-level abstractions, such as C++ STL containers and complex user-defined class types, are largely ignored due to the lack of research compilers that are readily able to recognize high-level object-oriented abstractions and leverage their associated semantics. In this paper, we use a source-to-source compiler infrastructure, ROSE, to explore compiler techniques to recognize high-level abstractions and to exploit their semantics for automatic parallelization. Several representative parallelization candidate kernels are used to study semantic-aware parallelization strategies for high-level abstractions, combined with extended compiler analyses. Preliminary results have shown that semantics of abstractions can help extend the applicability of automatic parallelization to modern applications and expose more opportunities to take advantage of multicore processors.

  11. Application of geosites assessment method in geopark context

    NASA Astrophysics Data System (ADS)

    Martin, Simon; Perret, Amandine; Renau, Pierre; Cartier-Moulin, Olivier; Regolini-Bissig, Géraldine

    2014-05-01

    The regional natural park of the Monts d'Ardèche (Ardèche and Haute-Loire departments, France) is candidate to the European Geopark Network (EGN) in 2014. The area has a wide geodiversity - with rocks from Cambrian to Pleistocene (basalt flows) - and interesting features like phonolitic protrusions, maars and granite boulders fields. Around 115 sites were selected and documented through a geosites inventory carried out in the territory. This pre-selection was supervised by the Ardèche Geological Society and is therefore expert advice based. In the context of EGN candidature, these potential geosites were assessed with a simplified method. It follows the spirit of the method from the University of Lausanne (Reynard et al., 2007) and its recent developments: assessment of the scientific (central) value and of a set of additional values (ecological and cultural). As this assessment aimed to offer a management tool to the future geopark's authorities, a special focus was given to management aspects. In particular, the opportunities to use the site for education (from schools to universities) and for tourism as well as the existence of protection and of interpretive facilities were documented and assessed. Several interesting conclusions may be drawn from this case study: (1) expert assessment is effective when it is based on a pre-existing inventory which is well structured and documented; (2) even simplified, an assessment method is a very useful framework to expert assessment as it focuses the discussions on most important points and helps to balance the assessment; (3) whereas the inventory can be extensively detailed and partly academic, the assessment in the geopark context is objective-driven in order to answer management needs. The place of the geosites assessment among the three key players of a geopark construction process (i.e. territory's managers, local geoscientists and EGN) is also discussed. This place can be defined as the point of consensus of needs

  12. The Joint Milli-Arcsecond Pathfinder Survey (J-MAPS) Mission: Application for Space Situational Awareness

    NASA Astrophysics Data System (ADS)

    Gaume, R.; Dorland, B.

    Rapid and accurate threat assessment and characterization are key elements in the quest for space superiority. These often depend on rapid orbit determination, accurate orbit propagation and object characterization. Threat scenarios involving new launches or vehicle maneuvers demand rapid and precise position metrics to determine and propagate new orbital elements. Existing and planned ground and space-based optical surveillance systems are optimized for the detection of Resident Space Objects (RSOs), which unfortunately, compromises their ability to determine position metrics at the highest possible accuracy levels. A Space Situational Awareness (SSA) architecture would potentially benefit from supplementing existing and planned detection assets with a dedicated high metric accuracy orbit determination asset or assets, with the potential for 24/7 taskability and near-real time capability. By optimizing an instrument to perform position measurement rather than detection, significant improvement may be realized in rapid orbit determination vs. current and envisioned systems, enabling rapid and accurate threat assessment and characterization. The United States Naval Observatory (USNO) is developing the space-based J-MAPS mission to support current and future star catalog and star tracker requirements. By its very nature, USNO's J-MAPS mission, a microsatellite designed to take very high precision measurements of star positions (astrometry), is ideally suited to make high metric accuracy measurements for brighter GEO RSOs. The J-MAPS mission will demonstrate novel and innovative measurement techniques and technologies, including new focal plane technologies such as CMOSHybrid active pixel sensors. The J-MAPS baseline also includes a novel filter-grating wheel, of interest in the area of non-resolved object characterization. We discuss the status of the J-MAPS mission, including the current mission baseline, and discuss Space Situational Awareness applications of the J

  13. An adaptive process-based cloud infrastructure for space situational awareness applications

    NASA Astrophysics Data System (ADS)

    Liu, Bingwei; Chen, Yu; Shen, Dan; Chen, Genshe; Pham, Khanh; Blasch, Erik; Rubin, Bruce

    2014-06-01

    Space situational awareness (SSA) and defense space control capabilities are top priorities for groups that own or operate man-made spacecraft. Also, with the growing amount of space debris, there is an increase in demand for contextual understanding that necessitates the capability of collecting and processing a vast amount sensor data. Cloud computing, which features scalable and flexible storage and computing services, has been recognized as an ideal candidate that can meet the large data contextual challenges as needed by SSA. Cloud computing consists of physical service providers and middleware virtual machines together with infrastructure, platform, and software as service (IaaS, PaaS, SaaS) models. However, the typical Virtual Machine (VM) abstraction is on a per operating systems basis, which is at too low-level and limits the flexibility of a mission application architecture. In responding to this technical challenge, a novel adaptive process based cloud infrastructure for SSA applications is proposed in this paper. In addition, the details for the design rationale and a prototype is further examined. The SSA Cloud (SSAC) conceptual capability will potentially support space situation monitoring and tracking, object identification, and threat assessment. Lastly, the benefits of a more granular and flexible cloud computing resources allocation are illustrated for data processing and implementation considerations within a representative SSA system environment. We show that the container-based virtualization performs better than hypervisor-based virtualization technology in an SSA scenario.

  14. Context-Aware Image Compression

    PubMed Central

    Chan, Jacky C. K.; Mahjoubfar, Ata; Chen, Claire L.; Jalali, Bahram

    2016-01-01

    We describe a physics-based data compression method inspired by the photonic time stretch wherein information-rich portions of the data are dilated in a process that emulates the effect of group velocity dispersion on temporal signals. With this coding operation, the data can be downsampled at a lower rate than without it. In contrast to previous implementation of the warped stretch compression, here the decoding can be performed without the need of phase recovery. We present rate-distortion analysis and show improvement in PSNR compared to compression via uniform downsampling. PMID:27367904

  15. Mobile Therapy: Case Study Evaluations of a Cell Phone Application for Emotional Self-Awareness

    PubMed Central

    Kathawala, Qusai; Leen, Todd K; Gorenstein, Ethan E; Guilak, Farzin; Labhard, Michael; Deleeuw, William

    2010-01-01

    Background Emotional awareness and self-regulation are important skills for improving mental health and reducing the risk of cardiovascular disease. Cognitive behavioral therapy can teach these skills but is not widely available. Objective This exploratory study examined the potential of mobile phone technologies to broaden access to cognitive behavioral therapy techniques and to provide in-the-moment support. Methods We developed a mobile phone application with touch screen scales for mood reporting and therapeutic exercises for cognitive reappraisal (ie, examination of maladaptive interpretations) and physical relaxation. The application was deployed in a one-month field study with eight individuals who had reported significant stress during an employee health assessment. Participants were prompted via their mobile phones to report their moods several times a day on a Mood Map—a translation of the circumplex model of emotion—and a series of single-dimension mood scales. Using the prototype, participants could also activate mobile therapies as needed. During weekly open-ended interviews, participants discussed their use of the device and responded to longitudinal views of their data. Analyses included a thematic review of interview narratives, assessment of mood changes over the course of the study and the diurnal cycle, and interrogation of this mobile data based on stressful incidents reported in interviews. Results Five case studies illustrate participants' use of the mobile phone application to increase self-awareness and to cope with stress. One example is a participant who had been coping with longstanding marital conflict. After reflecting on his mood data, particularly a drop in energy each evening, the participant began practicing relaxation therapies on the phone before entering his house, applying cognitive reappraisal techniques to cope with stressful family interactions, and talking more openly with his wife. His mean anger, anxiety and sadness

  16. [Level of awareness and the adequate application of sunscreen by beauticians].

    PubMed

    Cortez, Diógenes Aparício Garcia; Machado, Érica Simionato; Vermelho, Sonia Cristina Soares Dias; Teixeira, Jorge Juarez Vieira; Cortez, Lucia Elaine Ranieri

    2016-06-01

    The scope of this research was to establish the level of awareness of beauticians regarding the importance of the application of sunscreen and to identify whether their patients had been properly instructed by these professionals. It involved a descriptive and exploratory study with interviews applying qualitative methodology among 30 beauticians. Data were gathered using the semi-structured interview technique in Maringá, in the southern state of Paraná. The data were analyzed using Atlas.ti software after applying quantitative analysis and response classification. Of those interviewed, 83.33% had a degree in Aesthetics, 20% attended ongoing training activities on sunscreen and 73.17% acquired sunscreen for its quality, though 86.67% were not familiar with sunscreens with natural anti-free radical components. Of those interviewed, 80% had never treated patients with skin cancer, though they reported having knowledge of care in relation to sun exposure and how to use the sunscreen and the relationship of these practices with the disease. The results showed that the recommendations and use of sunscreen by beauticians and users has been conducted in an adequate and conscientious manner. PMID:27383359

  17. Evolutionary awareness.

    PubMed

    Gorelik, Gregory; Shackelford, Todd K

    2014-01-01

    In this article, we advance the concept of "evolutionary awareness," a metacognitive framework that examines human thought and emotion from a naturalistic, evolutionary perspective. We begin by discussing the evolution and current functioning of the moral foundations on which our framework rests. Next, we discuss the possible applications of such an evolutionarily-informed ethical framework to several domains of human behavior, namely: sexual maturation, mate attraction, intrasexual competition, culture, and the separation between various academic disciplines. Finally, we discuss ways in which an evolutionary awareness can inform our cross-generational activities-which we refer to as "intergenerational extended phenotypes"-by helping us to construct a better future for ourselves, for other sentient beings, and for our environment. PMID:25300054

  18. 78 FR 4838 - Applications for New Awards; Gaining Early Awareness and Readiness for Undergraduate Programs...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-01-23

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF EDUCATION...)--College Savings Account Research Demonstration Project AGENCY: Office of Postsecondary Education, Department of Education. ACTION: Notice. Overview Information: Gaining Early Awareness and Readiness...

  19. Illness awareness in hospice: application of a semi-structured interview.

    PubMed

    Andruccioli, Jessica; Montesi, Alessandra; Di Leo, Silvia; Sarti, Donatella; Turci, Paola; Pittureri, Cristina; Monterubbianesi, Maria Cristina; Parma, Tiziana; Raffaeli, William

    2009-01-01

    This study describes the results of a semi-structured interview to assess the illness awareness of cancer patients in Hospice. The results of this study are based on the interviews made in Rimini and Savignano sul Rubicone Hospices (n = 51). Psychologists evaluated illness awareness of the participants interviewed independently from the code system that is provided for the interview. According to the psychologists, 18 patients (35%) were aware, 11 patients (22%) were unaware, and 22 patients (43%) were aware with defense mechanisms. According to the code system of the interview, the results were the following: 18 patients (35%) were aware, 2 patients (4%) were unaware, and 29 patients (57%) were aware with defense mechanisms. Two participants had to be reassessed because of inconsistency in some factors. In conclusion, the data analysis underlined that the congruence of the 2 assessment methods was found in 33 of the 51 patients examined (65%) and that the degree of concordance was rather low (kappa = .46; 95% CI = 0.24-0.68). PMID:19581384

  20. Anesthesia Awareness

    MedlinePlus

    ... and Anesthesia Smoking and Anesthesia Outpatient Surgery Anesthesia Awareness Very rarely – in only one or two out ... become aware or conscious. The condition – called anesthesia awareness – means the patient can recall the surroundings or ...

  1. Context Management Middleware in Heterogeneous Mobile Computing Environments

    NASA Astrophysics Data System (ADS)

    Qureshi, Salim Raza

    2010-11-01

    Mobile computing environments are characterized by heterogeneity—systems consisting of different device types, operating systems, network interfaces, and communication protocols. Such heterogeneity calls for middleware that can adapt to different execution contexts, hide heterogeneity from applications, and transparently and dynamically switch between network and sensor technologies. Additionally, middleware for context-aware systems must keep a context model (a model of their environment), taking into account several aspects of the environment. The more complex and heterogeneous an execution environment is, the more complicated its underlying context model. Moreover, because systems can evolve, context management must also support model evolution without restarting, reconfiguring, or redeploying applications and services. We describe a context management middleware that can efficiently handle context despite the execution environment's heterogeneity and evolution. It uses context meta-information to improve a context-aware system's overall performance.

  2. The application of microbolometers in 360° ground vehicle situational awareness

    NASA Astrophysics Data System (ADS)

    Breakfield, David K.; Plemons, Dan

    2009-05-01

    BAE Systems and the US Army have conducted a series of investigative studies and on-vehicle evaluations of 360°, indirect viewing and ground vehicle vision systems. The studies consider a range of system options for establishing a close-in, real-time, image-based situational awareness system for day and nighttime vehicle operation. Multi-spectral imaging assets were utilized in combination with image processing techniques to extend situational awareness and support the operation of armored vehicles during "closed-hatch" exercises. The study findings include the central role of uncooled IR Microbolometers as a foundational element of day/night vehicle indirect vision systems.

  3. Self-Awareness and Personal Growth: Theory and Application of Bloom's Taxonomy

    ERIC Educational Resources Information Center

    Ugur, Hasan; Constantinescu, Petru-Madalin; Stevens, Michael J.

    2015-01-01

    Problem Statement: In this article, we summarize a group-based, self-development curriculum based on humanistic principles, framed by contemporary self-determination theory (SDT), and designed in accordance with Bloom's Taxonomy. The processes of awareness and integration are common to SDT and Bloom's Taxonomy, and to our knowledge, have not been…

  4. A Novel Audiovisual Brain-Computer Interface and Its Application in Awareness Detection.

    PubMed

    Wang, Fei; He, Yanbin; Pan, Jiahui; Xie, Qiuyou; Yu, Ronghao; Zhang, Rui; Li, Yuanqing

    2015-01-01

    Currently, detecting awareness in patients with disorders of consciousness (DOC) is a challenging task, which is commonly addressed through behavioral observation scales such as the JFK Coma Recovery Scale-Revised. Brain-computer interfaces (BCIs) provide an alternative approach to detect awareness in patients with DOC. However, these patients have a much lower capability of using BCIs compared to healthy individuals. This study proposed a novel BCI using temporally, spatially, and semantically congruent audiovisual stimuli involving numbers (i.e., visual and spoken numbers). Subjects were instructed to selectively attend to the target stimuli cued by instruction. Ten healthy subjects first participated in the experiment to evaluate the system. The results indicated that the audiovisual BCI system outperformed auditory-only and visual-only systems. Through event-related potential analysis, we observed audiovisual integration effects for target stimuli, which enhanced the discriminability between brain responses for target and nontarget stimuli and thus improved the performance of the audiovisual BCI. This system was then applied to detect the awareness of seven DOC patients, five of whom exhibited command following as well as number recognition. Thus, this audiovisual BCI system may be used as a supportive bedside tool for awareness detection in patients with DOC. PMID:26123281

  5. A Novel Audiovisual Brain-Computer Interface and Its Application in Awareness Detection

    PubMed Central

    Wang, Fei; He, Yanbin; Pan, Jiahui; Xie, Qiuyou; Yu, Ronghao; Zhang, Rui; Li, Yuanqing

    2015-01-01

    Currently, detecting awareness in patients with disorders of consciousness (DOC) is a challenging task, which is commonly addressed through behavioral observation scales such as the JFK Coma Recovery Scale-Revised. Brain-computer interfaces (BCIs) provide an alternative approach to detect awareness in patients with DOC. However, these patients have a much lower capability of using BCIs compared to healthy individuals. This study proposed a novel BCI using temporally, spatially, and semantically congruent audiovisual stimuli involving numbers (i.e., visual and spoken numbers). Subjects were instructed to selectively attend to the target stimuli cued by instruction. Ten healthy subjects first participated in the experiment to evaluate the system. The results indicated that the audiovisual BCI system outperformed auditory-only and visual-only systems. Through event-related potential analysis, we observed audiovisual integration effects for target stimuli, which enhanced the discriminability between brain responses for target and nontarget stimuli and thus improved the performance of the audiovisual BCI. This system was then applied to detect the awareness of seven DOC patients, five of whom exhibited command following as well as number recognition. Thus, this audiovisual BCI system may be used as a supportive bedside tool for awareness detection in patients with DOC. PMID:26123281

  6. Application of a plume model for decision makers' situation awareness during an outdoor airborne HAZMAT release.

    PubMed

    Meris, Ronald G; Barbera, Joseph A

    2014-01-01

    In a large-scale outdoor, airborne, hazardous materials (HAZMAT) incident, such as ruptured chlorine rail cars during a train derailment, the local Incident Commanders and HAZMAT emergency responders must obtain accurate information quickly to assess the situation and act promptly and appropriately. HAZMAT responders must have a clear understanding of key information and how to integrate it into timely and effective decisions for action planning. This study examined the use of HAZMAT plume modeling as a decision support tool during incident action planning in this type of extreme HAZMAT incident. The concept of situation awareness as presented by Endsley's dynamic situation awareness model contains three levels: perception, comprehension, and projection. It was used to examine the actions of incident managers related to adequate data acquisition, current situational understanding, and accurate situation projection. Scientists and engineers have created software to simulate and predict HAZMAT plume behavior, the projected hazard impact areas, and the associated health effects. Incorporating the use of HAZMAT plume projection modeling into an incident action plan may be a complex process. The present analysis used a mixed qualitative and quantitative methodological approach and examined the use and limitations of a "HAZMAT Plume Modeling Cycle" process that can be integrated into the incident action planning cycle. HAZMAT response experts were interviewed using a computer-based simulation. One of the research conclusions indicated the "HAZMAT Plume Modeling Cycle" is a critical function so that an individual/team can be tasked with continually updating the hazard plume model with evolving data, promoting more accurate situation awareness. PMID:25350360

  7. Further Applications of Linguistics to Australian Aboriginal Contexts. Occasional Papers Number 8.

    ERIC Educational Resources Information Center

    McKay, G. R., Ed.; Sommer, B. A., Ed.

    These papers represent applications of linguistics in Australian Aboriginal contexts, not only from a language viewpoint, but encompassing the interactions of language, society, politics, and culture. They include: "Loanwords: Ours or Theirs?" (Velma J. Leeding); "We Spell It 'Gooniyandi'" (David Street and Topsy Chestnut); "An Orthography Chosen…

  8. The Applicability of Course Experience Questionnaire for a Malaysian University Context

    ERIC Educational Resources Information Center

    Thien, Lei Mee; Ong, Mei Yean

    2016-01-01

    Purpose: The purpose of this study is to examine the applicability of Course Experience Questionnaire (CEQ) in a Malaysian university context. Design/methodology/approach: The CEQ was translated into Malay language using rigorous cross-cultural adaptation procedures. The Malay version CEQ was administered to 190 undergraduate students in one…

  9. Mirth and Murder: Crime Scene Investigation as a Work Context for Examining Humor Applications

    ERIC Educational Resources Information Center

    Roth, Gene L.; Vivona, Brian

    2010-01-01

    Within work settings, humor is used by workers for a wide variety of purposes. This study examines humor applications of a specific type of worker in a unique work context: crime scene investigation. Crime scene investigators examine death and its details. Members of crime scene units observe death much more frequently than other police officers…

  10. Using Simplified Regulated Breathing with an Adolescent Stutterer: Application of Effective Intervention in a Residential Context

    ERIC Educational Resources Information Center

    Freeman, Kurt A.; Friman, Patrick C.

    2004-01-01

    Simplified regulated breathing (SRB) has been demonstrated to reduce or eliminate stuttering in children. However, much of the current research has evaluated the intervention with school-aged children within educational contexts. In the current case report, we extended the application of SRB by evaluating its effectiveness in treating stuttering…

  11. Usability of English Note-Taking Applications in a Foreign Language Learning Context

    ERIC Educational Resources Information Center

    Roy, Debopriyo; Brine, John; Murasawa, Fuyuki

    2016-01-01

    The act of note-taking offloads cognitive pressure and note-taking applications could be used as an important tool for foreign language acquisition. Its use, importance, and efficacy in a foreign language learning context could be justifiably debated. However, existing computer-assisted language learning literature is almost silent on the topic.…

  12. Development, Awareness and Inductive Selectivity

    ERIC Educational Resources Information Center

    Hayes, Brett K.; Lim, Melissa

    2013-01-01

    Two studies examined whether adults and children could learn to make context-dependent inferences about novel stimuli and the role of awareness of context cues in such learning. Participants were trained to match probes to targets on the basis of shape or color with the relevant dimension shifting according to item context. A selective induction…

  13. Method and application of ocean environmental awareness measurement: Lessons learnt from university students of China.

    PubMed

    Umuhire, Marie Louise; Fang, Qinhua

    2016-01-30

    Different studies have proved that enhancing public Ocean Environmental Awareness (OEA) will lead to increased public support for ocean environmental protection. Our study develops a questionnaire to investigate current levels of students' OEA from three aspects including ocean environmental concerns, ocean environment knowledge and willingness to participate in ocean related activities. This questionnaire was applied to students from Xiamen University to understand the OEA of university students in China, of which there are few studies. Using data gathered from a random purposive sample, the OEA level of students in Xiamen University was investigated and then the influencing factors (education, geographical situation, age and gender etc.) were further analyzed. Findings suggest that most students are concerned about the ocean environment but their knowledge is not enough that makes the willingness to participate in ocean related actions limited as well. The results show there is an urgent need to improve students' OEA. PMID:26242972

  14. Applying predictive analytics to develop an intelligent risk detection application for healthcare contexts.

    PubMed

    Moghimi, Fatemeh Hoda; Cheung, Michael; Wickramasinghe, Nilmini

    2013-01-01

    Healthcare is an information rich industry where successful outcomes require the processing of multi-spectral data and sound decision making. The exponential growth of data and big data issues coupled with a rapid increase of service demands in healthcare contexts today, requires a robust framework enabled by IT (information technology) solutions as well as real-time service handling in order to ensure superior decision making and successful healthcare outcomes. Such a context is appropriate for the application of real time intelligent risk detection decision support systems using predictive analytic techniques such as data mining. To illustrate the power and potential of data science technologies in healthcare decision making scenarios, the use of an intelligent risk detection (IRD) model is proffered for the context of Congenital Heart Disease (CHD) in children, an area which requires complex high risk decisions that need to be made expeditiously and accurately in order to ensure successful healthcare outcomes. PMID:23920700

  15. Caryoscope: An Open Source Java application for viewing microarray data in a genomic context

    PubMed Central

    Awad, Ihab AB; Rees, Christian A; Hernandez-Boussard, Tina; Ball, Catherine A; Sherlock, Gavin

    2004-01-01

    Background Microarray-based comparative genome hybridization experiments generate data that can be mapped onto the genome. These data are interpreted more easily when represented graphically in a genomic context. Results We have developed Caryoscope, which is an open source Java application for visualizing microarray data from array comparative genome hybridization experiments in a genomic context. Caryoscope can read General Feature Format files (GFF files), as well as comma- and tab-delimited files, that define the genomic positions of the microarray reporters for which data are obtained. The microarray data can be browsed using an interactive, zoomable interface, which helps users identify regions of chromosomal deletion or amplification. The graphical representation of the data can be exported in a number of graphic formats, including publication-quality formats such as PostScript. Conclusion Caryoscope is a useful tool that can aid in the visualization, exploration and interpretation of microarray data in a genomic context. PMID:15488149

  16. Nanotechnology applications as a context for teaching the essential concepts of NST

    NASA Astrophysics Data System (ADS)

    Sakhnini, Sohair; Blonder, Ron

    2016-02-01

    The goals of this study are to map applications of nanotechnology that are recommended to be taught in high-school science and to identify the 'need-to-know' essential nanoscale science and technology (NST) concepts for each of the selected nanotechnology applications. A Delphi study using a community of experts was used to address these goals. Five nanotechnology applications that should be taught in high-school science were found to be important and reached a consensus by the Delphi-study experts: (1) nanomedicine, (2) nanoelectronics, (3) photovoltaic cells, (4) nanobots, and (5) self-cleaning. It was found that teaching these five nanotechnology applications should be based on all seven NST concepts, and therefore, these applications can be used as an appealing context for teaching the essential NST concepts. The different recommendations between the two communities of experts emphasize the importance of involving teachers and scientists in the process of designing a scientific curriculum. Identifying the applications of nanotechnology that should be taught in high-school science and identifying the connections between the applications and the essential NST concepts constitute an important step that supports designing a context-based nanotechnology program before it is integrated into a high-school science curriculum.

  17. mrsFAST-Ultra: a compact, SNP-aware mapper for high performance sequencing applications

    PubMed Central

    Hach, Faraz; Sarrafi, Iman; Hormozdiari, Farhad; Alkan, Can; Eichler, Evan E.; Sahinalp, S. Cenk

    2014-01-01

    High throughput sequencing (HTS) platforms generate unprecedented amounts of data that introduce challenges for processing and downstream analysis. While tools that report the ‘best’ mapping location of each read provide a fast way to process HTS data, they are not suitable for many types of downstream analysis such as structural variation detection, where it is important to report multiple mapping loci for each read. For this purpose we introduce mrsFAST-Ultra, a fast, cache oblivious, SNP-aware aligner that can handle the multi-mapping of HTS reads very efficiently. mrsFAST-Ultra improves mrsFAST, our first cache oblivious read aligner capable of handling multi-mapping reads, through new and compact index structures that reduce not only the overall memory usage but also the number of CPU operations per alignment. In fact the size of the index generated by mrsFAST-Ultra is 10 times smaller than that of mrsFAST. As importantly, mrsFAST-Ultra introduces new features such as being able to (i) obtain the best mapping loci for each read, and (ii) return all reads that have at most n mapping loci (within an error threshold), together with these loci, for any user specified n. Furthermore, mrsFAST-Ultra is SNP-aware, i.e. it can map reads to reference genome while discounting the mismatches that occur at common SNP locations provided by db-SNP; this significantly increases the number of reads that can be mapped to the reference genome. Notice that all of the above features are implemented within the index structure and are not simple post-processing steps and thus are performed highly efficiently. Finally, mrsFAST-Ultra utilizes multiple available cores and processors and can be tuned for various memory settings. Our results show that mrsFAST-Ultra is roughly five times faster than its predecessor mrsFAST. In comparison to newly enhanced popular tools such as Bowtie2, it is more sensitive (it can report 10 times or more mappings per read) and much faster (six times

  18. Exchanging the Context between OGC Geospatial Web clients and GIS applications using Atom

    NASA Astrophysics Data System (ADS)

    Maso, Joan; Díaz, Paula; Riverola, Anna; Pons, Xavier

    2013-04-01

    Currently, the discovery and sharing of geospatial information over the web still presents difficulties. News distribution through website content was simplified by the use of Really Simple Syndication (RSS) and Atom syndication formats. This communication exposes an extension of Atom to redistribute references to geospatial information in a Spatial Data Infrastructure distributed environment. A geospatial client can save the status of an application that involves several OGC services of different kind and direct data and share this status with other users that need the same information and use different client vendor products in an interoperable way. The extensibility of the Atom format was essential to define a format that could be used in RSS enabled web browser, Mass Market map viewers and emerging geospatial enable integrated clients that support Open Geospatial Consortium (OGC) services. Since OWS Context has been designed as an Atom extension, it is possible to see the document in common places where Atom documents are valid. Internet web browsers are able to present the document as a list of items with title, abstract, time, description and downloading features. OWS Context uses GeoRSS so that, the document can be to be interpreted by both Google maps and Bing Maps as items that have the extent represented in a dynamic map. Another way to explode a OWS Context is to develop an XSLT to transform the Atom feed into an HTML5 document that shows the exact status of the client view window that saved the context document. To accomplish so, we use the width and height of the client window, and the extent of the view in world (geographic) coordinates in order to calculate the scale of the map. Then, we can mix elements in world coordinates (such as CF-NetCDF files or GML) with elements in pixel coordinates (such as WMS maps, WMTS tiles and direct SVG content). A smarter map browser application called MiraMon Map Browser is able to write a context document and read

  19. Developing General Cultural Awareness in a Monocultural English as a Foreign Language Context in a Mexican University: A Wiki-Based Critical Incident Approach

    ERIC Educational Resources Information Center

    Trejo Vences, Paola; Fay, Richard

    2015-01-01

    This article explores what the "intercultural turn" might mean in the case of teaching English to speakers of other languages (TESOL). The discussion is contextualised in what has been termed the "expanding circle" of English and focuses on an English as a foreign language (EFL) class in a Mexican university, a context where…

  20. Communication Characterization and Optimization of Applications Using Topology-Aware Task Mapping on Large Supercomputers

    SciTech Connect

    Sreepathi, Sarat; D'Azevedo, Eduardo; Philip, Bobby; Worley, Patrick H

    2016-01-01

    On large supercomputers, the job scheduling systems may assign a non-contiguous node allocation for user applications depending on available resources. With parallel applications using MPI (Message Passing Interface), the default process ordering does not take into account the actual physical node layout available to the application. This contributes to non-locality in terms of physical network topology and impacts communication performance of the application. In order to mitigate such performance penalties, this work describes techniques to identify suitable task mapping that takes the layout of the allocated nodes as well as the application's communication behavior into account. During the first phase of this research, we instrumented and collected performance data to characterize communication behavior of critical US DOE (United States - Department of Energy) applications using an augmented version of the mpiP tool. Subsequently, we developed several reordering methods (spectral bisection, neighbor join tree etc.) to combine node layout and application communication data for optimized task placement. We developed a tool called mpiAproxy to facilitate detailed evaluation of the various reordering algorithms without requiring full application executions. This work presents a comprehensive performance evaluation (14,000 experiments) of the various task mapping techniques in lowering communication costs on Titan, the leadership class supercomputer at Oak Ridge National Laboratory.

  1. Social Learning Theory: its application in the context of nurse education.

    PubMed

    Bahn, D

    2001-02-01

    Cognitive theories are fundamental to enable problem solving and the ability to understand and apply principles in a variety of situations. This article looks at Social Learning Theory, critically analysing its principles, which are based on observational learning and modelling, and considering its value and application in the context of nurse education. It also considers the component processes that will determine the outcome of observed behaviour, other than reinforcement, as identified by Bandura, namely: attention, retention, motor reproduction, and motivation. PMID:11170797

  2. Variation of Ground GPS Integrated Precipitable Water Vapor Estimates among GPS Processing Packages and Strategies in the Context of Forecaster Situational Awareness

    NASA Astrophysics Data System (ADS)

    Moore, A. W.; Haase, J. S.; Bock, Y.; Gutman, S. I.; Laber, J. L.; Small, I. J.; Dumas, J. L.; Holub, K.; Jackson, M. E.

    2015-12-01

    Integrated precipitable water vapor (PW) estimated from ground GPS has for many years been assimilated into operational weather models, and under a NASA AIST project, our collaboration of JPL, SIO, NOAA Weather Forecasting Offices in southern California, and NOAA's Earth System Research Laboratory demonstrated that GPS PW estimates enhance forecaster situational awareness during North American Monsoon events. However, during a rigorous investigation of operational near real-time processing, we discovered some interesting discrepancies between ESRL GAMIT 30-minute and JPL GIPSY 5-minute zenith delay and PW solutions. Exploring this more deeply, we observed that PW timeseries determined with various GPS software packages and mapping functions have variations that manifest themselves on seasonal timescales. We use radiosonde, water vapor radiometer (WVR), and weather model data to explore the underlying cause of the differences, with particular attention to processing artifacts that could lend themselves to misinterpretation in subjective forecasting.

  3. Mobile Learning Application Interfaces: First Steps to a Cognitive Load Aware System

    ERIC Educational Resources Information Center

    Deegan, Robin

    2013-01-01

    Mobile learning is a cognitively demanding application and more frequently the ubiquitous nature of mobile computing means that mobile devices are used in cognitively demanding environments. This paper examines the nature of this use of mobile devices from a Learning, Usability and Cognitive Load Theory perspective. It suggests scenarios where…

  4. A Design Framework for Awareness Systems

    NASA Astrophysics Data System (ADS)

    Markopoulos, Panos

    This chapter discusses the design of awareness systems, whose main function is a social one, namely, to support social communication, mediated social interactions and eventually relationships of the individuals they connect. We focus especially on connecting friends and family rather than on systems used in the context of collaborative work. Readers interested in this latter kind of applications are referred to the design frameworks by Ginelle and Gutwin (2005) and Gutwin and Greenberg (2002). Below, we outline the relevant design space and the corresponding challenges for the design of awareness systems. The challenges pertain to social aspects of interaction design rather than the technological challenges relating to such systems. As such, they are inspired by Jonathan Grudin’s exposition of design challenges for the domain of groupware applications (Grudin, 1994).

  5. Application areas of multi-user virtual environments in the healthcare context.

    PubMed

    Ghanbarzadeh, Reza; Ghapanchi, Amir Hossein; Blumenstein, Michael

    2014-01-01

    This study conducts a systematic literature review on the application of the three-dimensional virtual worlds (3DVW) in healthcare context. During the past decade, 3DVWs have emerged as a cutting edge technology that has much to offer to the healthcare sector. Our systematic review began with an initial set of 1088 studies published from 1990 to 2013 which have used 3DVWs for the healthcare specific purposes. We found a variety of areas of application for the 3DVWs in healthcare, and categorised them into the following categories: education, treatment, evaluation, lifestyle and simulation. The presented big picture of application areas of 3DVWs in this study can be very valuable and insightful for the researchers and healthcare community. PMID:25087525

  6. Building Awareness.

    ERIC Educational Resources Information Center

    Meilach, Dona Z.

    2001-01-01

    Discusses the importance of developing students' building awareness by exploring logos, or buildings that symbolize a country, to learn about architecture and the cultures in different countries. Explores categories of buildings. Includes examples of logos from around the world. (CMK)

  7. Fertility Awareness

    MedlinePlus

    ... planning, periodic abstinence, and the rhythm method. How Does It Work? If a couple doesn't have ... get pregnant should not have sex. How Well Does It Work? Fertility awareness is not a reliable ...

  8. The role of early inter-professional and inter-agency encounters in increasing students' awareness of the clinical and community context of medicine.

    PubMed

    Thandi, Charankumal Singh; Forrest, Simon; Williamson, Catherine

    2016-08-01

    Coordinated input from a variety of health and social care professionals into medical education helps students to become strong, effective, successful and competent future practitioners able to function within the multi-disciplinary environment which characterizes modern medicine. This paper presents a new model of teaching developed within the context of the Phase 1 Medicine Programme at Durham, which has been used to help prepare students for this by intertwining a selection of lectures and activities run by external organizations with additional clinical exposure and experience. This one-week learning journey was called the Additional Clinical Experience (ACE) week, and now forms an integral part of the curriculum at Durham University. PMID:27432369

  9. Active Learning in Context-Driven Stream Mining With an Application to Image Mining.

    PubMed

    Tekin, Cem; van der Schaar, Mihaela

    2015-11-01

    We propose an image stream mining method in which images arrive with contexts (metadata) and need to be processed in real time by the image mining system (IMS), which needs to make predictions and derive actionable intelligence from these streams. After extracting the features of the image by preprocessing, IMS determines online the classifier to use on the extracted features to make a prediction using the context of the image. A key challenge associated with stream mining is that the prediction accuracy of the classifiers is unknown, since the image source is unknown; thus, these accuracies need to be learned online. Another key challenge of stream mining is that learning can only be done by observing the true label, but this is costly to obtain. To address these challenges, we model the image stream mining problem as an active, online contextual experts problem, where the context of the image is used to guide the classifier selection decision. We develop an active learning algorithm and show that it achieves regret sublinear in the number of images that have been observed so far. To further illustrate and assess the performance of our proposed methods, we apply them to diagnose breast cancer from the images of cellular samples obtained from the fine needle aspirate of breast mass. Our findings show that very high diagnosis accuracy can be achieved by actively obtaining only a small fraction of true labels through surgical biopsies. Other applications include video surveillance and video traffic monitoring. PMID:26087490

  10. Online Formative Assessments with Social Network Awareness

    ERIC Educational Resources Information Center

    Lin, Jian-Wei; Lai, Yuan-Cheng

    2013-01-01

    Social network awareness (SNA) has been used extensively as one of the strategies to increase knowledge sharing and collaboration opportunities. However, most SNA studies either focus on being aware of peer's knowledge context or on social context. This work proposes online formative assessments with SNA, trying to address the problems of online…