Conjoint Analysis for Mobile Devices for Ubiquitous Learning in Higher Education: The Korean Case

ERIC Educational Resources Information Center

Lee, Hyeongjik

2013-01-01

Despite the increasing importance of mobile devices in education, the essential features of these devices for ubiquitous learning have not been empirically addressed. This study empirically investigated the necessary conditions for using mobile devices as an educational tool for ubiquitous learning in higher education by a conjoint method. The…

Internet messenger based smart virtual class learning using ubiquitous computing

NASA Astrophysics Data System (ADS)

Umam, K.; Mardi, S. N. S.; Hariadi, M.

2017-06-01

Internet messenger (IM) has become an important educational technology component in college education, IM makes it possible for students to engage in learning and collaborating at smart virtual class learning (SVCL) using ubiquitous computing. However, the model of IM-based smart virtual class learning using ubiquitous computing and empirical evidence that would favor a broad application to improve engagement and behavior are still limited. In addition, the expectation that IM based SVCL using ubiquitous computing could improve engagement and behavior on smart class cannot be confirmed because the majority of the reviewed studies followed instructions paradigms. This article aims to present the model of IM-based SVCL using ubiquitous computing and showing learners’ experiences in improved engagement and behavior for learner-learner and learner-lecturer interactions. The method applied in this paper includes design process and quantitative analysis techniques, with the purpose of identifying scenarios of ubiquitous computing and realize the impressions of learners and lecturers about engagement and behavior aspect and its contribution to learning

Reflection Paper on a Ubiquitous English Vocabulary Learning System: Evidence of Active/Passive Attitude vs. Usefulness/Ease-of-Use

ERIC Educational Resources Information Center

Lim, Jeff

2013-01-01

"A ubiquitous English vocabulary learning system: evidence of active/passive attitudes vs. usefulness/ease-of-use" introduces and develops "Ubiquitous English Vocabulary Learning" (UEFL) system. It introduces to the memorization using the video clips. According to their paper the video clip gives a better chance for students to…

Development and Evaluation of a Context-Aware Ubiquitous Learning Environment for Astronomy Education

ERIC Educational Resources Information Center

Chen, Chia-Chen; Lin, Pei-Hsuan

2016-01-01

In recent years information technology has been integrated into education to produce a series of trends, beginning with "electronic learning" (e-learning), through "mobile learning" (m-learning) and finally to "ubiquitous learning" (u-learning), which aims to improve learner motivation through overcoming the…

Effects of Teaching and Learning Styles on Students' Reflection Levels for Ubiquitous Learning

ERIC Educational Resources Information Center

Hsieh, Sheng-Wen; Jang, Yu-Ruei; Hwang, Gwo-Jen; Chen, Nian-Shing

2011-01-01

Ubiquitous learning (u-learning), in conjunction with supports from the digital world, is recognized as an effective approach for situating students in real-world learning environments. Earlier studies concerning u-learning have mainly focused on investigating the learning attitudes and learning achievements of students, while the causations such…

Researching the Ethical Dimensions of Mobile, Ubiquitous and Immersive Technology Enhanced Learning (MUITEL): A Thematic Review and Dialogue

ERIC Educational Resources Information Center

Lally, Vic; Sharples, Mike; Tracy, Frances; Bertram, Neil; Masters, Sherriden

2012-01-01

In this article, we examine the ethical dimensions of researching the mobile, ubiquitous and immersive technology enhanced learning (MUITEL), with a particular focus on learning in informal settings. We begin with an analysis of the interactions between mobile, ubiquitous and immersive technologies and the wider context of the digital economy. In…

Supervised machine learning for analysing spectra of exoplanetary atmospheres

NASA Astrophysics Data System (ADS)

Márquez-Neila, Pablo; Fisher, Chloe; Sznitman, Raphael; Heng, Kevin

2018-06-01

The use of machine learning is becoming ubiquitous in astronomy1-3, but remains rare in the study of the atmospheres of exoplanets. Given the spectrum of an exoplanetary atmosphere, a multi-parameter space is swept through in real time to find the best-fit model4-6. Known as atmospheric retrieval, this technique originates in the Earth and planetary sciences7. Such methods are very time-consuming, and by necessity there is a compromise between physical and chemical realism and computational feasibility. Machine learning has previously been used to determine which molecules to include in the model, but the retrieval itself was still performed using standard methods8. Here, we report an adaptation of the `random forest' method of supervised machine learning9,10, trained on a precomputed grid of atmospheric models, which retrieves full posterior distributions of the abundances of molecules and the cloud opacity. The use of a precomputed grid allows a large part of the computational burden to be shifted offline. We demonstrate our technique on a transmission spectrum of the hot gas-giant exoplanet WASP-12b using a five-parameter model (temperature, a constant cloud opacity and the volume mixing ratios or relative abundances of molecules of water, ammonia and hydrogen cyanide)11. We obtain results consistent with the standard nested-sampling retrieval method. We also estimate the sensitivity of the measured spectrum to the model parameters, and we are able to quantify the information content of the spectrum. Our method can be straightforwardly applied using more sophisticated atmospheric models to interpret an ensemble of spectra without having to retrain the random forest.

Twenty-First Century Learning: Communities, Interaction and Ubiquitous Computing

ERIC Educational Resources Information Center

Leh, Amy S.C.; Kouba, Barbara; Davis, Dirk

2005-01-01

Advanced technology makes 21st century learning, communities and interactions unique and leads people to an era of ubiquitous computing. The purpose of this article is to contribute to the discussion of learning in the 21st century. The paper will review literature on learning community, community learning, interaction, 21st century learning and…

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…

A Context-Aware Ubiquitous Learning Environment for Language Listening and Speaking

ERIC Educational Resources Information Center

Liu, T.-Y.

2009-01-01

This paper reported the results of a study that aimed to construct a sensor and handheld augmented reality (AR)-supported ubiquitous learning (u-learning) environment called the Handheld English Language Learning Organization (HELLO), which is geared towards enhancing students' language learning. The HELLO integrates sensors, AR, ubiquitous…

Distributed Optimization of Sustainable Power Dispatch and Flexible Consumer Loads for Resilient Power Grid Operations

NASA Astrophysics Data System (ADS)

Srikantha, Pirathayini

Today's electric grid is rapidly evolving to provision for heterogeneous system components (e.g. intermittent generation, electric vehicles, storage devices, etc.) while catering to diverse consumer power demand patterns. In order to accommodate this changing landscape, the widespread integration of cyber communication with physical components can be witnessed in all tenets of the modern power grid. This ubiquitous connectivity provides an elevated level of awareness and decision-making ability to system operators. Moreover, devices that were typically passive in the traditional grid are now `smarter' as these can respond to remote signals, learn about local conditions and even make their own actuation decisions if necessary. These advantages can be leveraged to reap unprecedented long-term benefits that include sustainable, efficient and economical power grid operations. Furthermore, challenges introduced by emerging trends in the grid such as high penetration of distributed energy sources, rising power demands, deregulations and cyber-security concerns due to vulnerabilities in standard communication protocols can be overcome by tapping onto the active nature of modern power grid components. In this thesis, distributed constructs in optimization and game theory are utilized to design the seamless real-time integration of a large number of heterogeneous power components such as distributed energy sources with highly fluctuating generation capacities and flexible power consumers with varying demand patterns to achieve optimal operations across multiple levels of hierarchy in the power grid. Specifically, advanced data acquisition, cloud analytics (such as prediction), control and storage systems are leveraged to promote sustainable and economical grid operations while ensuring that physical network, generation and consumer comfort requirements are met. Moreover, privacy and security considerations are incorporated into the core of the proposed designs and these serve to improve the resiliency of the future smart grid. It is demonstrated both theoretically and practically that the techniques proposed in this thesis are highly scalable and robust with superior convergence characteristics. These distributed and decentralized algorithms allow individual actuating nodes to execute self-healing and adaptive actions when exposed to changes in the grid so that the optimal operating state in the grid is maintained consistently.

International Symposium on Grids and Clouds (ISGC) 2016

NASA Astrophysics Data System (ADS)

The International Symposium on Grids and Clouds (ISGC) 2016 will be held at Academia Sinica in Taipei, Taiwan from 13-18 March 2016, with co-located events and workshops. The conference is hosted by the Academia Sinica Grid Computing Centre (ASGC). The theme of ISGC 2016 focuses on“Ubiquitous e-infrastructures and Applications”. Contemporary research is impossible without a strong IT component - researchers rely on the existence of stable and widely available e-infrastructures and their higher level functions and properties. As a result of these expectations, e-Infrastructures are becoming ubiquitous, providing an environment that supports large scale collaborations that deal with global challenges as well as smaller and temporal research communities focusing on particular scientific problems. To support those diversified communities and their needs, the e-Infrastructures themselves are becoming more layered and multifaceted, supporting larger groups of applications. Following the call for the last year conference, ISGC 2016 continues its aim to bring together users and application developers with those responsible for the development and operation of multi-purpose ubiquitous e-Infrastructures. Topics of discussion include Physics (including HEP) and Engineering Applications, Biomedicine & Life Sciences Applications, Earth & Environmental Sciences & Biodiversity Applications, Humanities, Arts, and Social Sciences (HASS) Applications, Virtual Research Environment (including Middleware, tools, services, workflow, etc.), Data Management, Big Data, Networking & Security, Infrastructure & Operations, Infrastructure Clouds and Virtualisation, Interoperability, Business Models & Sustainability, Highly Distributed Computing Systems, and High Performance & Technical Computing (HPTC), etc.

Enculturating Seamless Language Learning through Artifact Creation and Social Interaction Process

ERIC Educational Resources Information Center

Wong, Lung-Hsiang; Chai, Ching Sing; Aw, Guat Poh; King, Ronnel B.

2015-01-01

This paper reports a design-based research (DBR) cycle of MyCLOUD (My Chinese ubiquitOUs learning Days). MyCLOUD is a seamless language learning model that addresses identified limitations of conventional Chinese language teaching, such as the decontextualized and unauthentic learning processes that usually hinder reflection and deep learning.…

A Context-Adaptive Teacher Training Model in a Ubiquitous Learning Environment

ERIC Educational Resources Information Center

Chen, Min; Chiang, Feng Kuang; Jiang, Ya Na; Yu, Sheng Quan

2017-01-01

In view of the discrepancies in teacher training and teaching practice, this paper put forward a context-adaptive teacher training model in a ubiquitous learning (u-learning) environment. The innovative model provides teachers of different subjects with adaptive and personalized learning content in a u-learning environment, implements intra- and…

From Virtual Environments to Physical Environments: Exploring Interactivity in Ubiquitous-Learning Systems

ERIC Educational Resources Information Center

Peng, Hsinyi; Chou, Chien; Chang, Chun-Yu

2008-01-01

Computing devices and applications are now used beyond the desktop, in diverse environments, and this trend toward ubiquitous computing is evolving. In this study, we re-visit the interactivity concept and its applications for interactive function design in a ubiquitous-learning system (ULS). Further, we compare interactivity dimensions and…

The Future of Ubiquitous Elearning

ERIC Educational Resources Information Center

Arndt, Timothy

2014-01-01

Post-secondary students are increasingly receiving instruction by eLearning. Many or these are part-time students or are working while taking classes. In such circumstances, students may find themselves short of time to study. One mechanism that can be exploited to make the best use of available time is ubiquitous eLearning. Ubiquitous eLearning…

Ubiquitous Learning: Determinants Impacting Learners' Satisfaction and Performance with Smartphones

ERIC Educational Resources Information Center

Jung, Hee-Jung

2014-01-01

Although the concept of ubiquitous technologies has been introduced to many parts of society, there have been limited applications, and little is known about learners' behavior toward ubiquitous technologies, particularly in the context of English learning. This study considers a sample of Korean students to identify the key factors that influence…

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,…

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…

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…

Ubiquitous Knowledge Construction: Mobile Learning Re-Defined and a Conceptual Framework

ERIC Educational Resources Information Center

Peng, Hsinyi; Su, Yi-Ju; Chou, Chien; Tsai, Chin-Chung

2009-01-01

Emerging from recent mobile technologies, mobile learning, or m-learning, is beginning to offer "stunning new technical capabilities" in education (DiGiano et al., 2003). This new genre of learning is viewed as a revolutionary stage in educational technology. However, ubiquitous computing technologies have given rise to several issues. This…

PACALL: Supporting Language Learning Using SenseCam

ERIC Educational Resources Information Center

Hou, Bin; Ogata, Hiroaki; Kunita, Toma; Li, Mengmeng; Uosaki, Noriko

2013-01-01

The authors' research defines a ubiquitous learning log (ULLO) as a digital record of what a learner has learned in the daily life using ubiquitous technologies. In their previous works, the authors proposed a model named LORE (Log--Organize--Recall--Evaluate) to describe the learning process of ULLO and developed a system named SCROLL to…

Optimizing T-Learning Course Scheduling Based on Genetic Algorithm in Benefit-Oriented Data Broadcast Environments

ERIC Educational Resources Information Center

Huang, Yong-Ming; Chen, Chao-Chun; Wang, Ding-Chau

2012-01-01

Ubiquitous learning receives much attention in these few years due to its wide spectrum of applications, such as the T-learning application. The learner can use mobile devices to watch the digital TV based course content, and thus, the T-learning provides the ubiquitous learning environment. However, in real-world data broadcast environments, the…

Orchestrating Tangible Music Interfaces for In-Classroom Music Learning through a Fairy Tale: The Case of ImproviSchool

ERIC Educational Resources Information Center

Palaigeorgiou, George; Pouloulis, Christos

2018-01-01

Ubiquitous music is a relatively new research area which seeks ways to involve novices in music learning, playing and improvisation. Despite the ambitious goals, ubiquitous music is still unknown territory in schools. In this study, we have tried to identify whether ubiquitous music environments can enable novice music students to participate in…

New Theoretical Approach Integrated Education and Technology

ERIC Educational Resources Information Center

Ding, Gang

2010-01-01

The paper focuses on exploring new theoretical approach in education with development of online learning technology, from e-learning to u-learning and virtual reality technology, and points out possibilities such as constructing a new teaching ecological system, ubiquitous educational awareness with ubiquitous technology, and changing the…

iSELF: The Development of an Internet-Tool for Self-Evaluation and Learner Feedback

ERIC Educational Resources Information Center

Theunissen, Nicolet; Stubbé, Hester

2014-01-01

This paper describes the theoretical basis and development of the iSELF: an Internet-tool for Self-Evaluation and Learner Feedback to stimulate self-directed learning in ubiquitous learning environments. In ubiquitous learning, learners follow their own trails of interest, scaffolded by coaches, peers and tools for thinking and learning.…

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…

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…

A Model for Ubiquitous Serious Games Development Focused on Problem Based Learning

ERIC Educational Resources Information Center

Dorneles, Sandro Oliveira; da Costa, Cristiano André; Rigo, Sandro José

2015-01-01

The possibility of using serious games with problem-based learning opens up huge opportunities to connect the experiences of daily life of students with learning. In this context, this article presents a model for serious and ubiquitous games development, focusing on problem based learning methodology. The model allows teachers to create games…

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…

Mobile Learning as a Method of Ubiquitous Learning: Students' Attitudes, Readiness, and Possible Barriers to Implementation in Higher Education

ERIC Educational Resources Information Center

Alhassan, Riyadh

2016-01-01

The purpose of this study was to explore the attitudes and level of readiness, and possible barriers to implementing Mobile Learning as a part of ubiquitous learning. In addition, the study attempted to find out to what extent students are interested in mobile learning. It also aimed to answer the question regarding the readiness of college…

Ubiquitous testing using tablets: its impact on medical student perceptions of and engagement in learning.

PubMed

Kim, Kyong-Jee; Hwang, Jee-Young

2016-03-01

Ubiquitous testing has the potential to affect medical education by enhancing the authenticity of the assessment using multimedia items. This study explored medical students' experience with ubiquitous testing and its impact on student learning. A cohort (n=48) of third-year students at a medical school in South Korea participated in this study. The students were divided into two groups and were given different versions of 10 content-matched items: one in text version (the text group) and the other in multimedia version (the multimedia group). Multimedia items were delivered using tablets. Item response analyses were performed to compare item characteristics between the two versions. Additionally, focus group interviews were held to investigate the students' experiences of ubiquitous testing. The mean test score was significantly higher in the text group. Item difficulty and discrimination did not differ between text and multimedia items. The participants generally showed positive responses on ubiquitous testing. Still, they felt that the lectures that they had taken in preclinical years did not prepare them enough for this type of assessment and clinical encounters during clerkships were more helpful. To be better prepared, the participants felt that they needed to engage more actively in learning in clinical clerkships and have more access to multimedia learning resources. Ubiquitous testing can positively affect student learning by reinforcing the importance of being able to understand and apply knowledge in clinical contexts, which drives students to engage more actively in learning in clinical settings.

Ubiquitous Learning Ecologies for a Critical Cyber-Citizenship

ERIC Educational Resources Information Center

Díez-Gutiérrez, Enrique; Díaz-Nafría, José-María

2018-01-01

The aim of this research is to identify and analyse the ubiquitous learning acquired through blending education settings devoted to the "lifelong training of trainers" and how these contribute to the development of a conscious, critic and engaged citizenship. Through active exploration of the learning process, the study analyses the…

Social Knowledge Awareness Map for Computer Supported Ubiquitous Learning Environment

ERIC Educational Resources Information Center

El-Bishouty, Moushir M.; Ogata, Hiroaki; Rahman, Samia; Yano, Yoneo

2010-01-01

Social networks are helpful for people to solve problems by providing useful information. Therefore, the importance of mobile social software for learning has been supported by many researches. In this research, a model of personalized collaborative ubiquitous learning environment is designed and implemented in order to support learners doing…

Exploring the Effects of Web-Mediated Computational Thinking on Developing Students' Computing Skills in a Ubiquitous Learning Environment

ERIC Educational Resources Information Center

Tsai, Chia-Wen; Shen, Pei-Di; Tsai, Meng-Chuan; Chen, Wen-Yu

2017-01-01

Much application software education in Taiwan can hardly be regarded as practical. The researchers in this study provided a flexible means of ubiquitous learning (u-learning) with a mobile app for students to access the learning material. In addition, the authors also adopted computational thinking (CT) to help students develop practical computing…

Development and Evaluation of an RFID-Based Ubiquitous Learning Environment for Outdoor Learning

ERIC Educational Resources Information Center

Tan, Tan-Hsu; Liu, Tsung-Yu; Chang, Chi-Cheng

2007-01-01

Many issues have been identified in outdoor teaching, especially in places that lack the capacity to effectively present information about such subjects as historical relics, rare animals, and geological landscapes. This study proposes an Environment of Ubiquitous Learning with Educational Resources (EULER) based on radio frequency identification…

Ubiquitous testing using tablets: its impact on medical student perceptions of and engagement in learning

PubMed Central

Kim, Kyong-Jee; Hwang, Jee-Young

2016-01-01

Purpose: Ubiquitous testing has the potential to affect medical education by enhancing the authenticity of the assessment using multimedia items. This study explored medical students’ experience with ubiquitous testing and its impact on student learning. Methods: A cohort (n=48) of third-year students at a medical school in South Korea participated in this study. The students were divided into two groups and were given different versions of 10 content-matched items: one in text version (the text group) and the other in multimedia version (the multimedia group). Multimedia items were delivered using tablets. Item response analyses were performed to compare item characteristics between the two versions. Additionally, focus group interviews were held to investigate the students’ experiences of ubiquitous testing. Results: The mean test score was significantly higher in the text group. Item difficulty and discrimination did not differ between text and multimedia items. The participants generally showed positive responses on ubiquitous testing. Still, they felt that the lectures that they had taken in preclinical years did not prepare them enough for this type of assessment and clinical encounters during clerkships were more helpful. To be better prepared, the participants felt that they needed to engage more actively in learning in clinical clerkships and have more access to multimedia learning resources. Conclusion: Ubiquitous testing can positively affect student learning by reinforcing the importance of being able to understand and apply knowledge in clinical contexts, which drives students to engage more actively in learning in clinical settings. PMID:26838569

A service based adaptive U-learning system using UX.

PubMed

Jeong, Hwa-Young; Yi, Gangman

2014-01-01

In recent years, traditional development techniques for e-learning systems have been changing to become more convenient and efficient. One new technology in the development of application systems includes both cloud and ubiquitous computing. Cloud computing can support learning system processes by using services while ubiquitous computing can provide system operation and management via a high performance technical process and network. In the cloud computing environment, a learning service application can provide a business module or process to the user via the internet. This research focuses on providing the learning material and processes of courses by learning units using the services in a ubiquitous computing environment. And we also investigate functions that support users' tailored materials according to their learning style. That is, we analyzed the user's data and their characteristics in accordance with their user experience. We subsequently applied the learning process to fit on their learning performance and preferences. Finally, we demonstrate how the proposed system outperforms learning effects to learners better than existing techniques.

A Service Based Adaptive U-Learning System Using UX

PubMed Central

Jeong, Hwa-Young

2014-01-01

In recent years, traditional development techniques for e-learning systems have been changing to become more convenient and efficient. One new technology in the development of application systems includes both cloud and ubiquitous computing. Cloud computing can support learning system processes by using services while ubiquitous computing can provide system operation and management via a high performance technical process and network. In the cloud computing environment, a learning service application can provide a business module or process to the user via the internet. This research focuses on providing the learning material and processes of courses by learning units using the services in a ubiquitous computing environment. And we also investigate functions that support users' tailored materials according to their learning style. That is, we analyzed the user's data and their characteristics in accordance with their user experience. We subsequently applied the learning process to fit on their learning performance and preferences. Finally, we demonstrate how the proposed system outperforms learning effects to learners better than existing techniques. PMID:25147832

CILT2000: Ubiquitous Computing--Spanning the Digital Divide.

ERIC Educational Resources Information Center

Tinker, Robert; Vahey, Philip

2002-01-01

Discusses the role of ubiquitous and handheld computers in education. Summarizes the contributions of the Center for Innovative Learning Technologies (CILT) and describes the ubiquitous computing sessions at the CILT2000 Conference. (Author/YDS)

The Status of Ubiquitous Computing.

ERIC Educational Resources Information Center

Brown, David G.; Petitto, Karen R.

2003-01-01

Explains the prevalence and rationale of ubiquitous computing on college campuses--teaching with the assumption or expectation that all faculty and students have access to the Internet--and offers lessons learned by pioneering institutions. Lessons learned involve planning, technology, implementation and management, adoption of computer-enhanced…

Coordinated learning of grid cell and place cell spatial and temporal properties: multiple scales, attention and oscillations.

PubMed

Grossberg, Stephen; Pilly, Praveen K

2014-02-05

A neural model proposes how entorhinal grid cells and hippocampal place cells may develop as spatial categories in a hierarchy of self-organizing maps (SOMs). The model responds to realistic rat navigational trajectories by learning both grid cells with hexagonal grid firing fields of multiple spatial scales, and place cells with one or more firing fields, that match neurophysiological data about their development in juvenile rats. Both grid and place cells can develop by detecting, learning and remembering the most frequent and energetic co-occurrences of their inputs. The model's parsimonious properties include: similar ring attractor mechanisms process linear and angular path integration inputs that drive map learning; the same SOM mechanisms can learn grid cell and place cell receptive fields; and the learning of the dorsoventral organization of multiple spatial scale modules through medial entorhinal cortex to hippocampus (HC) may use mechanisms homologous to those for temporal learning through lateral entorhinal cortex to HC ('neural relativity'). The model clarifies how top-down HC-to-entorhinal attentional mechanisms may stabilize map learning, simulates how hippocampal inactivation may disrupt grid cells, and explains data about theta, beta and gamma oscillations. The article also compares the three main types of grid cell models in the light of recent data.

Integrating Socio-Cultural Contexts and Location-based Systems for Ubiquitous Language Learning in Museums: A State of the Art Review of 2009-2014

ERIC Educational Resources Information Center

Wang, Hong-You; Liu, Gi-Zen; Hwang, Gwo-Jen

2017-01-01

Context-dependent learning systems are now becoming more common in museums, as most students are equipped with mobile devices. As there has been little research into context-aware mobile applications in museums, the present study aims to investigate ubiquitous language learning in socio-cultural contexts, as well as recent trends in using…

Supporting Teacher Orchestration in Ubiquitous Learning Environments: A Study in Primary Education

ERIC Educational Resources Information Center

Muñoz-Cristóbal, Juan A.; Jorrín-Abellán, Iván M.; Asensio-Pérez, Juan I.; Martínez-Monés, Alejandra; Prieto, Luis P.; Dimitriadis, Yannis

2015-01-01

During the last decades, educational contexts have transformed into complex technological and social ecologies, with mobile devices expanding the scope of education beyond the traditional classroom, creating so-called Ubiquitous Learning Environments (ULEs). However, these new technological opportunities entail an additional burden for teachers,…

Influences of an Inquiry-based Ubiquitous Gaming Design on Students' Learning Achievements, Motivation, Behavioral Patterns, and Tendency towards Critical Thinking and Problem Solving

ERIC Educational Resources Information Center

Hwang, Gwo-Jen; Chen, Chih-Hung

2017-01-01

In this paper, an inquiry-based ubiquitous gaming approach was proposed. The objective of the study was to enhance students' performances in in-field learning activities. To show the advantages of the approach, an experiment was carried out to assess the effects of it on students' learning achievement, motivation, critical thinking, and problem…

Learning Potentials of the Ubiquitous Internet: Using Mobile Devices to Support the Individual, Social and Physical Context of the Learner

ERIC Educational Resources Information Center

Dalsgaard, Christian; Pedersen, Nicholai Friis; Aaen, Janus Holst

2013-01-01

The aim of this paper is to identify the key learning potentials of the ubiquitous internet. Rather than focusing on mobile technology or the mobility of the learner, the paper emphasises the ubiquity of internet access as a paramount catalyst for new learning in the digital age. From a sociocultural perspective the paper discusses different ways…

Probabilistic Learning by Rodent Grid Cells

PubMed Central

Cheung, Allen

2016-01-01

Mounting evidence shows mammalian brains are probabilistic computers, but the specific cells involved remain elusive. Parallel research suggests that grid cells of the mammalian hippocampal formation are fundamental to spatial cognition but their diverse response properties still defy explanation. No plausible model exists which explains stable grids in darkness for twenty minutes or longer, despite being one of the first results ever published on grid cells. Similarly, no current explanation can tie together grid fragmentation and grid rescaling, which show very different forms of flexibility in grid responses when the environment is varied. Other properties such as attractor dynamics and grid anisotropy seem to be at odds with one another unless additional properties are assumed such as a varying velocity gain. Modelling efforts have largely ignored the breadth of response patterns, while also failing to account for the disastrous effects of sensory noise during spatial learning and recall, especially in darkness. Here, published electrophysiological evidence from a range of experiments are reinterpreted using a novel probabilistic learning model, which shows that grid cell responses are accurately predicted by a probabilistic learning process. Diverse response properties of probabilistic grid cells are statistically indistinguishable from rat grid cells across key manipulations. A simple coherent set of probabilistic computations explains stable grid fields in darkness, partial grid rescaling in resized arenas, low-dimensional attractor grid cell dynamics, and grid fragmentation in hairpin mazes. The same computations also reconcile oscillatory dynamics at the single cell level with attractor dynamics at the cell ensemble level. Additionally, a clear functional role for boundary cells is proposed for spatial learning. These findings provide a parsimonious and unified explanation of grid cell function, and implicate grid cells as an accessible neuronal population readout of a set of probabilistic spatial computations. PMID:27792723

U-ALS: A Ubiquitous Learning Environment

ERIC Educational Resources Information Center

Piovesan, Sandra Dutra; Passerino, Liliana Maria; Medina, Roseclea Duarte

2012-01-01

The diffusion of the use of the learning virtual environments presents a great potential for the development of an application which meet the necessities in the education area. In view of the importance of a more dynamic application and that can adapt itself continuously to the students' necessities, the "U-ALS" (Ubiquitous Adapted Learning…

Ubiquitous and Ambient Intelligence Assisted Learning Environment Infrastructures Development--A Review

ERIC Educational Resources Information Center

Kanagarajan, Sujith; Ramakrishnan, Sivakumar

2018-01-01

Ubiquitous Learning Environment (ULE) has been becoming a mobile and sensor based technology equipped environment that suits the modern world education discipline requirements for the past few years. Ambient Intelligence (AmI) makes much smarter the ULE by the support of optimization and intelligent techniques. Various efforts have been so far…

Deep learning for classification of islanding and grid disturbance based on multi-resolution singular spectrum entropy

NASA Astrophysics Data System (ADS)

Li, Tie; He, Xiaoyang; Tang, Junci; Zeng, Hui; Zhou, Chunying; Zhang, Nan; Liu, Hui; Lu, Zhuoxin; Kong, Xiangrui; Yan, Zheng

2018-02-01

Forasmuch as the distinguishment of islanding is easy to be interfered by grid disturbance, island detection device may make misjudgment thus causing the consequence of photovoltaic out of service. The detection device must provide with the ability to differ islanding from grid disturbance. In this paper, the concept of deep learning is introduced into classification of islanding and grid disturbance for the first time. A novel deep learning framework is proposed to detect and classify islanding or grid disturbance. The framework is a hybrid of wavelet transformation, multi-resolution singular spectrum entropy, and deep learning architecture. As a signal processing method after wavelet transformation, multi-resolution singular spectrum entropy combines multi-resolution analysis and spectrum analysis with entropy as output, from which we can extract the intrinsic different features between islanding and grid disturbance. With the features extracted, deep learning is utilized to classify islanding and grid disturbance. Simulation results indicate that the method can achieve its goal while being highly accurate, so the photovoltaic system mistakenly withdrawing from power grids can be avoided.

Air Pollution Monitoring and Mining Based on Sensor Grid in London

PubMed Central

Ma, Yajie; Richards, Mark; Ghanem, Moustafa; Guo, Yike; Hassard, John

2008-01-01

In this paper, we present a distributed infrastructure based on wireless sensors network and Grid computing technology for air pollution monitoring and mining, which aims to develop low-cost and ubiquitous sensor networks to collect real-time, large scale and comprehensive environmental data from road traffic emissions for air pollution monitoring in urban environment. The main informatics challenges in respect to constructing the high-throughput sensor Grid are discussed in this paper. We present a two-layer network framework, a P2P e-Science Grid architecture, and the distributed data mining algorithm as the solutions to address the challenges. We simulated the system in TinyOS to examine the operation of each sensor as well as the networking performance. We also present the distributed data mining result to examine the effectiveness of the algorithm. PMID:27879895

Air Pollution Monitoring and Mining Based on Sensor Grid in London.

PubMed

Ma, Yajie; Richards, Mark; Ghanem, Moustafa; Guo, Yike; Hassard, John

2008-06-01

In this paper, we present a distributed infrastructure based on wireless sensors network and Grid computing technology for air pollution monitoring and mining, which aims to develop low-cost and ubiquitous sensor networks to collect real-time, large scale and comprehensive environmental data from road traffic emissions for air pollution monitoring in urban environment. The main informatics challenges in respect to constructing the high-throughput sensor Grid are discussed in this paper. We present a twolayer network framework, a P2P e-Science Grid architecture, and the distributed data mining algorithm as the solutions to address the challenges. We simulated the system in TinyOS to examine the operation of each sensor as well as the networking performance. We also present the distributed data mining result to examine the effectiveness of the algorithm.

Learning with Ubiquitous Computing

ERIC Educational Resources Information Center

Rosenheck, Louisa

2008-01-01

If ubiquitous computing becomes a reality and is widely adopted, it will inevitably have an impact on education. This article reviews the background of ubiquitous computing and current research projects done involving educational "ubicomp." Finally it explores how ubicomp may and may not change education in both formal and informal settings and…

Effects of the Team Competition-Based Ubiquitous Gaming Approach on Students' Interactive Patterns, Collective Efficacy and Awareness of Collaboration and Communication

ERIC Educational Resources Information Center

Chen, Chih-Hung; Hwang, Gwo-Jen

2017-01-01

Previous research has illustrated the importance of acquiring knowledge from authentic contexts; however, without full engagement, students' learning performance might not be as good as expected. In this study, a Team Competition-based Ubiquitous Gaming approach was proposed for improving students' learning effectiveness in authentic learning…

Ubiquitous Computing and Changing Pedagogical Possibilities: Representations, Conceptualizations and Uses of Knowledge

ERIC Educational Resources Information Center

Swan, Karen; Van 'T Hooft, Mark; Kratcoski, Annette; Schenker, Jason

2007-01-01

This article reports on preliminary findings from an ongoing study of teaching and learning in a ubiquitous computing classroom. The research employed mixed methods and multiple measures to document changes in teaching and learning that result when teachers and students have access to a variety of digital devices wherever and whenever they need…

Evaluating and Measuring How New Technologies and Ubiquitous Connectivity Affect University Students' Psychosocial Wellbeing

ERIC Educational Resources Information Center

Taylor, J.; Salvagno, M.; Morris, R.; Hutchings, M.; Bobeva, M.

2018-01-01

Where universities focus on the benefits of technology-enhanced learning (TEL), they tend to underestimate the impact on learners' experiences and wellbeing. The goal of the research reported in this article was to investigate how new technologies and ubiquitous connectivity affect students' day-to-day life, learning habits and consequent…

Exploring the Potential of Podcasting to Deliver Mobile Ubiquitous Learning in Higher Education

ERIC Educational Resources Information Center

Lee, Mark J. W.; Chan, Anthony

2006-01-01

Podcasting facilitates the timely delivery of digital audio content such as MP3 files to a user's desktop, as it becomes available. The authors believe it holds tremendous potential as a low-cost, low-barrier tool for mobile ubiquitous learning, given the large uptake of portable music players. This paper explores some of the possibilities for…

Ubiquitous Performance-Support System as Mindtool: A Case Study of Instructional Decision Making and Learning Assistant

ERIC Educational Resources Information Center

Peng, Hsinyi; Chuang, Po-Ya; Hwang, Gwo-Jen; Chu, Hui-Chun; Wu, Ting-Ting; Huang, Shu-Xian

2009-01-01

Researchers have conducted various studies on applying wireless communication and ubiquitous computing technologies to education, so that the technologies can provide learners and educators with more active and adaptive support. This study proposes a Ubiquitous Performance-support System (UPSS) that can facilitate the seamless use of powerful new…

Integrated Multi-Scale Data Analytics and Machine Learning for the Distribution Grid and Building-to-Grid Interface

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

Stewart, Emma M.; Hendrix, Val; Chertkov, Michael

This white paper introduces the application of advanced data analytics to the modernized grid. In particular, we consider the field of machine learning and where it is both useful, and not useful, for the particular field of the distribution grid and buildings interface. While analytics, in general, is a growing field of interest, and often seen as the golden goose in the burgeoning distribution grid industry, its application is often limited by communications infrastructure, or lack of a focused technical application. Overall, the linkage of analytics to purposeful application in the grid space has been limited. In this paper wemore » consider the field of machine learning as a subset of analytical techniques, and discuss its ability and limitations to enable the future distribution grid and the building-to-grid interface. To that end, we also consider the potential for mixing distributed and centralized analytics and the pros and cons of these approaches. Machine learning is a subfield of computer science that studies and constructs algorithms that can learn from data and make predictions and improve forecasts. Incorporation of machine learning in grid monitoring and analysis tools may have the potential to solve data and operational challenges that result from increasing penetration of distributed and behind-the-meter energy resources. There is an exponentially expanding volume of measured data being generated on the distribution grid, which, with appropriate application of analytics, may be transformed into intelligible, actionable information that can be provided to the right actors – such as grid and building operators, at the appropriate time to enhance grid or building resilience, efficiency, and operations against various metrics or goals – such as total carbon reduction or other economic benefit to customers. While some basic analysis into these data streams can provide a wealth of information, computational and human boundaries on performing the analysis are becoming significant, with more data and multi-objective concerns. Efficient applications of analysis and the machine learning field are being considered in the loop.« less

Investigation of Learning Behaviors and Achievement of Vocational High School Students Using an Ubiquitous Physics Tablet PC App

ERIC Educational Resources Information Center

Purba, Siska Wati Dewi; Hwang, Wu-Yuin

2017-01-01

In this study, we designed and developed an app called Ubiquitous-Physics (U-Physics) for mobile devices like tablet PC or smart phones to help students learn the principles behind a simple pendulum in Physics. The unique characteristic of U-Physics is the use of sensors on mobile devices to collect acceleration and velocity data during pendulum…

A Folksonomy-Based Guidance Mechanism for Context-Aware Ubiquitous Learning: A Case Study of Chinese Scenic Poetry Appreciation Activities

ERIC Educational Resources Information Center

Shih, Wen-Chung; Tseng, Shian-Shyong; Yang, Che-Ching; Lin, Chih-Yu; Liang, Tyne

2012-01-01

In this work ubiquitous learning technologies are applied to Chinese scenic poetry appreciation. A folksonomy-based approach is proposed to accumulate knowledge about poems and their corresponding scenic spots. A user can use a "Tagging" operation by a smart phone to associate a concept (a word, a phrase or a sentence) with a scenic…

Shifting Contexts: Investigating the Role of Context in the Use of Ubiquitous Computing for Design-Based Learning

ERIC Educational Resources Information Center

Willis, Katharine S.; Corino, Gianni

2014-01-01

In design teaching ubiquitous technologies can offer new ways of situating learning within real world experiences. Yet they require new types of knowledge; both an understanding of how to work with the technology and also an understanding of how to use the technologies to respond to changing contexts such as the place and the people. We sought to…

Ubiquitous Mobile Knowledge Construction in Collaborative Learning Environments

PubMed Central

Baloian, Nelson; Zurita, Gustavo

2012-01-01

Knowledge management is a critical activity for any organization. It has been said to be a differentiating factor and an important source of competitiveness if this knowledge is constructed and shared among its members, thus creating a learning organization. Knowledge construction is critical for any collaborative organizational learning environment. Nowadays workers must perform knowledge creation tasks while in motion, not just in static physical locations; therefore it is also required that knowledge construction activities be performed in ubiquitous scenarios, and supported by mobile and pervasive computational systems. These knowledge creation systems should help people in or outside organizations convert their tacit knowledge into explicit knowledge, thus supporting the knowledge construction process. Therefore in our understanding, we consider highly relevant that undergraduate university students learn about the knowledge construction process supported by mobile and ubiquitous computing. This has been a little explored issue in this field. This paper presents the design, implementation, and an evaluation of a system called MCKC for Mobile Collaborative Knowledge Construction, supporting collaborative face-to-face tacit knowledge construction and sharing in ubiquitous scenarios. The MCKC system can be used by undergraduate students to learn how to construct knowledge, allowing them anytime and anywhere to create, make explicit and share their knowledge with their co-learners, using visual metaphors, gestures and sketches to implement the human-computer interface of mobile devices (PDAs). PMID:22969333

Ubiquitous mobile knowledge construction in collaborative learning environments.

PubMed

Baloian, Nelson; Zurita, Gustavo

2012-01-01

Knowledge management is a critical activity for any organization. It has been said to be a differentiating factor and an important source of competitiveness if this knowledge is constructed and shared among its members, thus creating a learning organization. Knowledge construction is critical for any collaborative organizational learning environment. Nowadays workers must perform knowledge creation tasks while in motion, not just in static physical locations; therefore it is also required that knowledge construction activities be performed in ubiquitous scenarios, and supported by mobile and pervasive computational systems. These knowledge creation systems should help people in or outside organizations convert their tacit knowledge into explicit knowledge, thus supporting the knowledge construction process. Therefore in our understanding, we consider highly relevant that undergraduate university students learn about the knowledge construction process supported by mobile and ubiquitous computing. This has been a little explored issue in this field. This paper presents the design, implementation, and an evaluation of a system called MCKC for Mobile Collaborative Knowledge Construction, supporting collaborative face-to-face tacit knowledge construction and sharing in ubiquitous scenarios. The MCKC system can be used by undergraduate students to learn how to construct knowledge, allowing them anytime and anywhere to create, make explicit and share their knowledge with their co-learners, using visual metaphors, gestures and sketches to implement the human-computer interface of mobile devices (PDAs).

Wiki-Based Rapid Prototyping for Teaching-Material Design in E-Learning Grids

ERIC Educational Resources Information Center

Shih, Wen-Chung; Tseng, Shian-Shyong; Yang, Chao-Tung

2008-01-01

Grid computing environments with abundant resources can support innovative e-Learning applications, and are promising platforms for e-Learning. To support individualized and adaptive learning, teachers are encouraged to develop various teaching materials according to different requirements. However, traditional methodologies for designing teaching…

Learning Analytics for Supporting Seamless Language Learning Using E-Book with Ubiquitous Learning System

ERIC Educational Resources Information Center

Mouri, Kousuke; Uosaki, Noriko; Ogata, Hiroaki

2018-01-01

Seamless learning has been recognized as an effective learning approach across various dimensions including formal and informal learning contexts, individual and social learning, and physical world and cyberspace. With the emergence of seamless learning, the majority of the current research focuses on realizing a seamless learning environment at…

Personalised Context-Aware Ubiquitous Learning System for Supporting Effective English Vocabulary Learning

ERIC Educational Resources Information Center

Chen, Chih-Ming; Li, Yi-Lun

2010-01-01

Because learning English is extremely popular in non-native English speaking countries, developing modern assisted-learning schemes that facilitate effective English learning is a critical issue in English-language education. Vocabulary learning is vital within English learning because vocabulary comprises the basic building blocks of English…

Using Taxonomic Indexing Trees to Efficiently Retrieve SCORM-Compliant Documents in e-Learning Grids

ERIC Educational Resources Information Center

Shih, Wen-Chung; Tseng, Shian-Shyong; Yang, Chao-Tung

2008-01-01

With the flourishing development of e-Learning, more and more SCORM-compliant teaching materials are developed by institutes and individuals in different sites. In addition, the e-Learning grid is emerging as an infrastructure to enhance traditional e-Learning systems. Therefore, information retrieval schemes supporting SCORM-compliant documents…

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

Deka, Deepjyoti; Backhaus, Scott N.; Chertkov, Michael

Limited placement of real-time monitoring devices in the distribution grid, recent trends notwithstanding, has prevented the easy implementation of demand-response and other smart grid applications. Part I of this paper discusses the problem of learning the operational structure of the grid from nodal voltage measurements. In this work (Part II), the learning of the operational radial structure is coupled with the problem of estimating nodal consumption statistics and inferring the line parameters in the grid. Based on a Linear-Coupled(LC) approximation of AC power flows equations, polynomial time algorithms are designed to identify the structure and estimate nodal load characteristics and/ormore » line parameters in the grid using the available nodal voltage measurements. Then the structure learning algorithm is extended to cases with missing data, where available observations are limited to a fraction of the grid nodes. The efficacy of the presented algorithms are demonstrated through simulations on several distribution test cases.« less

CyberPsychological Computation on Social Community of Ubiquitous Learning.

PubMed

Zhou, Xuan; Dai, Genghui; Huang, Shuang; Sun, Xuemin; Hu, Feng; Hu, Hongzhi; Ivanović, Mirjana

2015-01-01

Under the modern network environment, ubiquitous learning has been a popular way for people to study knowledge, exchange ideas, and share skills in the cyberspace. Existing research findings indicate that the learners' initiative and community cohesion play vital roles in the social communities of ubiquitous learning, and therefore how to stimulate the learners' interest and participation willingness so as to improve their enjoyable experiences in the learning process should be the primary consideration on this issue. This paper aims to explore an effective method to monitor the learners' psychological reactions based on their behavioral features in cyberspace and therefore provide useful references for adjusting the strategies in the learning process. In doing so, this paper firstly analyzes the psychological assessment of the learners' situations as well as their typical behavioral patterns and then discusses the relationship between the learners' psychological reactions and their observable features in cyberspace. Finally, this paper puts forward a CyberPsychological computation method to estimate the learners' psychological states online. Considering the diversity of learners' habitual behaviors in the reactions to their psychological changes, a BP-GA neural network is proposed for the computation based on their personalized behavioral patterns.

CyberPsychological Computation on Social Community of Ubiquitous Learning

PubMed Central

Zhou, Xuan; Dai, Genghui; Huang, Shuang; Sun, Xuemin; Hu, Feng; Hu, Hongzhi; Ivanović, Mirjana

2015-01-01

Under the modern network environment, ubiquitous learning has been a popular way for people to study knowledge, exchange ideas, and share skills in the cyberspace. Existing research findings indicate that the learners' initiative and community cohesion play vital roles in the social communities of ubiquitous learning, and therefore how to stimulate the learners' interest and participation willingness so as to improve their enjoyable experiences in the learning process should be the primary consideration on this issue. This paper aims to explore an effective method to monitor the learners' psychological reactions based on their behavioral features in cyberspace and therefore provide useful references for adjusting the strategies in the learning process. In doing so, this paper firstly analyzes the psychological assessment of the learners' situations as well as their typical behavioral patterns and then discusses the relationship between the learners' psychological reactions and their observable features in cyberspace. Finally, this paper puts forward a CyberPsychological computation method to estimate the learners' psychological states online. Considering the diversity of learners' habitual behaviors in the reactions to their psychological changes, a BP-GA neural network is proposed for the computation based on their personalized behavioral patterns. PMID:26557846

Construction of a Digital Learning Environment Based on Cloud Computing

ERIC Educational Resources Information Center

Ding, Jihong; Xiong, Caiping; Liu, Huazhong

2015-01-01

Constructing the digital learning environment for ubiquitous learning and asynchronous distributed learning has opened up immense amounts of concrete research. However, current digital learning environments do not fully fulfill the expectations on supporting interactive group learning, shared understanding and social construction of knowledge.…

The Grid as a healthcare provision tool.

PubMed

Hernández, V; Blanquer, I

2005-01-01

This paper presents a survey on HealthGrid technologies, describing the current status of Grid and eHealth and analyzing them in the medium-term future. The objective is to analyze the key points, barriers and driving forces for the take-up of HealthGrids. The article considers the procedures from other Grid disciplines such as high energy physics or biomolecular engineering and discusses the differences with respect to healthcare. It analyzes the status of the basic technology, the needs of the eHealth environment and the successes of current projects in health and other relevant disciplines. Information and communication technology (ICT) in healthcare is a promising area for the use of the Grid. There are many driving forces that are fostering the application of the secure, pervasive, ubiquitous and transparent access to information and computing resources that Grid technologies can provide. However, there are many barriers that must be solved. Many technical problems that arise in eHealth (standardization of data, federation of databases, content-based knowledge extraction, and management of personal data ...) can be solved with Grid technologies. The article presents the development of successful and demonstrative applications as the key for the take-up of HealthGrids, where short-term future medical applications will surely be biocomputing-oriented, and the future of Grid technologies on medical imaging seems promising. Finally, exploitation of HealthGrid is analyzed considering the curve of the adoption of ICT solutions and the definition of business models, which are far more complex than in other e-business technologies such ASP.

Effects of Collaborative Learning Styles on Performance of Students in a Ubiquitous Collaborative Mobile Learning Environment

ERIC Educational Resources Information Center

Fakomogbon, Michael Ayodele; Bolaji, Hameed Olalekan

2017-01-01

Collaborative learning is an approach employed by instructors to facilitate learning and improve learner's performance. Mobile learning can accommodate a variety of learning approaches. This study, therefore, investigated the effects of collaborative learning styles on performance of students in a mobile learning environment. The specific purposes…

Investigating the Educational Value of Social Learning Networks: A Quantitative Analysis

ERIC Educational Resources Information Center

Dafoulas, Georgios; Shokri, Azam

2016-01-01

Purpose: The emergence of Education 2.0 enabled technology-enhanced learning, necessitating new pedagogical approaches, while e-learning has evolved into an instrumental pedagogy of collaboration through affordances of social media. Social learning networks and ubiquitous learning enabled individual and group learning through social engagement and…

New Perspectives on Teaching and Working with Languages in the Digital Era

ERIC Educational Resources Information Center

Pareja-Lora, Antonio, Ed.; Calle-Martínez, Cristina, Ed.; Rodríguez-Arancón, Pilar, Ed.

2016-01-01

This volume offers a comprehensive, up-to-date, empirical and methodological view over the new scenarios and environments for language teaching and learning recently emerged (e.g. blended learning, e-learning, ubiquitous learning, social learning, autonomous learning or lifelong learning), and also over some of the new approaches to language…

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…

Spiking Neurons in a Hierarchical Self-Organizing Map Model Can Learn to Develop Spatial and Temporal Properties of Entorhinal Grid Cells and Hippocampal Place Cells

PubMed Central

Pilly, Praveen K.; Grossberg, Stephen

2013-01-01

Medial entorhinal grid cells and hippocampal place cells provide neural correlates of spatial representation in the brain. A place cell typically fires whenever an animal is present in one or more spatial regions, or places, of an environment. A grid cell typically fires in multiple spatial regions that form a regular hexagonal grid structure extending throughout the environment. Different grid and place cells prefer spatially offset regions, with their firing fields increasing in size along the dorsoventral axes of the medial entorhinal cortex and hippocampus. The spacing between neighboring fields for a grid cell also increases along the dorsoventral axis. This article presents a neural model whose spiking neurons operate in a hierarchy of self-organizing maps, each obeying the same laws. This spiking GridPlaceMap model simulates how grid cells and place cells may develop. It responds to realistic rat navigational trajectories by learning grid cells with hexagonal grid firing fields of multiple spatial scales and place cells with one or more firing fields that match neurophysiological data about these cells and their development in juvenile rats. The place cells represent much larger spaces than the grid cells, which enable them to support navigational behaviors. Both self-organizing maps amplify and learn to categorize the most frequent and energetic co-occurrences of their inputs. The current results build upon a previous rate-based model of grid and place cell learning, and thus illustrate a general method for converting rate-based adaptive neural models, without the loss of any of their analog properties, into models whose cells obey spiking dynamics. New properties of the spiking GridPlaceMap model include the appearance of theta band modulation. The spiking model also opens a path for implementation in brain-emulating nanochips comprised of networks of noisy spiking neurons with multiple-level adaptive weights for controlling autonomous adaptive robots capable of spatial navigation. PMID:23577130

NB-PLC channel modelling with cyclostationary noise addition & OFDM implementation for smart grid

NASA Astrophysics Data System (ADS)

Thomas, Togis; Gupta, K. K.

2016-03-01

Power line communication (PLC) technology can be a viable solution for the future ubiquitous networks because it provides a cheaper alternative to other wired technology currently being used for communication. In smart grid Power Line Communication (PLC) is used to support communication with low rate on low voltage (LV) distribution network. In this paper, we propose the channel modelling of narrowband (NB) PLC in the frequency range 5 KHz to 500 KHz by using ABCD parameter with cyclostationary noise addition. Behaviour of the channel was studied by the addition of 11KV/230V transformer, by varying load location and load. Bit error rate (BER) Vs signal to noise ratio SNR) was plotted for the proposed model by employing OFDM. Our simulation results based on the proposed channel model show an acceptable performance in terms of bit error rate versus signal to noise ratio, which enables communication required for smart grid applications.

From Learning Object to Learning Cell: A Resource Organization Model for Ubiquitous Learning

ERIC Educational Resources Information Center

Yu, Shengquan; Yang, Xianmin; Cheng, Gang; Wang, Minjuan

2015-01-01

This paper presents a new model for organizing learning resources: Learning Cell. This model is open, evolving, cohesive, social, and context-aware. By introducing a time dimension into the organization of learning resources, Learning Cell supports the dynamic evolution of learning resources while they are being used. In addition, by introducing a…

The Comparison of Students' Satisfaction between Ubiquitous and Web-Based Learning Environments

ERIC Educational Resources Information Center

Virtanen, Mari Aulikki; Kääriäinen, Maria; Liikanen, Eeva; Haavisto, Elina

2017-01-01

Higher education is moving towards digitalized learning. The rapid development of technological resources, devices and wireless networks enables more flexible opportunities to study and learn in innovative learning environments. New technologies enable combining of authentic and virtual learning spaces and digital resources as multifunctional…

Grid cell hexagonal patterns formed by fast self-organized learning within entorhinal cortex.

PubMed

Mhatre, Himanshu; Gorchetchnikov, Anatoli; Grossberg, Stephen

2012-02-01

Grid cells in the dorsal segment of the medial entorhinal cortex (dMEC) show remarkable hexagonal activity patterns, at multiple spatial scales, during spatial navigation. It has previously been shown how a self-organizing map can convert firing patterns across entorhinal grid cells into hippocampal place cells that are capable of representing much larger spatial scales. Can grid cell firing fields also arise during navigation through learning within a self-organizing map? This article describes a simple and general mathematical property of the trigonometry of spatial navigation which favors hexagonal patterns. The article also develops a neural model that can learn to exploit this trigonometric relationship. This GRIDSmap self-organizing map model converts path integration signals into hexagonal grid cell patterns of multiple scales. GRIDSmap creates only grid cell firing patterns with the observed hexagonal structure, predicts how these hexagonal patterns can be learned from experience, and can process biologically plausible neural input and output signals during navigation. These results support an emerging unified computational framework based on a hierarchy of self-organizing maps for explaining how entorhinal-hippocampal interactions support spatial navigation. Copyright © 2010 Wiley Periodicals, Inc.

Ubiquitous English Learning System with Dynamic Personalized Guidance of Learning Portfolio

ERIC Educational Resources Information Center

Wu, Ting-Ting; Sung, Tien-Wen; Huang, Yueh-Min; Yang, Chu-Sing; Yang, Jin-Tan

2011-01-01

Situated learning has been recognized as an effective approach in enhancing learning impressions and experiences for students. Can we take advantage of situated learning in helping students who are not English native speakers to read English articles more effective? Can the effectiveness of situated learning be further promoted by individual…

Mobile Learning: A Powerful Tool for Ubiquitous Language Learning

ERIC Educational Resources Information Center

Gomes, Nelson; Lopes, Sérgio; Araújo, Sílvia

2016-01-01

Mobile devices (smartphones, tablets, e-readers, etc.) have come to be used as tools for mobile learning. Several studies support the integration of such technological devices with learning, particularly with language learning. In this paper, we wish to present an Android app designed for the teaching and learning of Portuguese as a foreign…

Design of a Microlecture Mobile Learning System Based on Smartphone and Web Platforms

ERIC Educational Resources Information Center

Wen, Chuanxue; Zhang, Junfei

2015-01-01

This paper first analyzes the concept and features of microlecture, mobile learning, and ubiquitous learning, then presents the combination of microlecture and mobile learning, to propose a novel way of micro-learning through mobile terminals. Details are presented of a microlecture mobile learning system (MMLS) that can support multiplatforms,…

To Activate English Learning: Listen and Speak in Real Life Context with an AR Featured U-Learning System

ERIC Educational Resources Information Center

Ho, Shu-Chun; Hsieh, Sheng-Wen; Sun, Pei-Chen; Chen, Cheng-Ming

2017-01-01

The increasing advance of mobile devices and wireless technologies has generated great interest in ubiquitous learning (u-learning) among academia, practitioners, and policy makers. However, design elements that incorporate learning styles and learning strategies into u-learning system applications in English as a Foreign Language (EFL) education…

Empowering Pre-Service Teachers to Produce Ubiquitous Flipped Classes

ERIC Educational Resources Information Center

García-Sánchez, Soraya; Santos-Espino, Jose Miguel

2017-01-01

This work focuses on technological and educational outcomes that resulted from the production of foreign language educational videos by 90 pre-service instructors enrolled in an official Master's Degree in Secondary Education programme. This teaching practice, conducted during two consecutive years, was set in a ubiquitous learning environment…

PERKAM: Personalized Knowledge Awareness Map for Computer Supported Ubiquitous Learning

ERIC Educational Resources Information Center

El-Bishouty, Moushir M.; Ogata, Hiroaki; Yano, Yoneo

2007-01-01

This paper introduces a ubiquitous computing environment in order to support the learners while doing tasks; this environment is called PERKAM (PERsonalized Knowledge Awareness Map). PERKAM allows the learners to share knowledge, interact, collaborate, and exchange individual experiences. It utilizes the RFID ubiquities technology to detect the…

Elimination of artificial grid distortion and hourglass-type motions by means of Lagrangian subzonal masses and pressures

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

Caramana, E.J.; Shashkov, M.J.

1997-12-31

The bane of Lagrangian hydrodynamics calculations is premature breakdown of the grid topology that results in severe degradation of accuracy and run termination often long before the assumption of Lagrangian zonal mass ceased to be valid. At short spatial grid scales this is usually referred to by the terms hourglass mode or keystone motion associated in particular with underconstrained grids such as quadrilaterals and hexahedrons in two and three dimensions, respectively. At longer spatial scales relative to the grid spacing there is what is referred to ubiquitously as spurious vorticity, or the long-thin zone problem. In both cases the resultmore » is anomalous grid distortion and tangling that has nothing to do with the actual solution, as would be the case for turbulent flow. In this work the authors show how such motions can be eliminated by the proper use of subzonal Lagrangian masses, and associated densities and pressures. These subzonal masses arise in a natural way from the fact that they require the mass associated with the nodal grid point to be constant in time. This is addition to the usual assumption of constant, Lagrangian zonal mass in staggered grid hydrodynamics scheme. The authors show that with proper discretization of subzonal forces resulting from subzonal pressures, hourglass motion and spurious vorticity can be eliminated for a very large range of problems. Finally the authors are presenting results of calculations of many test problems.« less

WebIntera-Classroom: An Interaction-Aware Virtual Learning Environment for Augmenting Learning Interactions

ERIC Educational Resources Information Center

Chen, Jingjing; Xu, Jianliang; Tang, Tao; Chen, Rongchao

2017-01-01

Interaction is critical for successful teaching and learning in a virtual learning environment (VLE). This paper presents a web-based interaction-aware VLE--WebIntera-classroom--which aims to augment learning interactions by increasing the learner-to-content and learner-to-instructor interactions. We design a ubiquitous interactive interface that…

Integrate WeChat with Moodle to Provide a Mobile Learning Environment for Students

ERIC Educational Resources Information Center

Li, Zhigao; Fan, Yibo; Jiao, Jianli

2016-01-01

In the information age, learning has become ubiquitous, and mobile learning enabled by mobile technologies is expected to play a significant role in various educational settings. Currently, there exist some limitations on mobile learning from the perspective of technology. The implementation of mobile learning usually depends on the development of…

Risky Business or Sharing the Load?--Social Flow in Collaborative Mobile Learning

ERIC Educational Resources Information Center

Ryu, Hokyoung; Parsons, David

2012-01-01

Mobile learning has been built upon the premise that we can transform traditional classroom or computer-based learning activities into a more ubiquitous and connected form of learning. Tentative outcomes from this assertion have been witnessed in many collaborative learning activities, but few analytic observations on what triggers this…

Exploring Students' Progression in an Inquiry Science Curriculum Enabled by Mobile Learning

ERIC Educational Resources Information Center

Looi, Chee-Kit; Sun, Daner; Xie, Wenting

2015-01-01

The research literature reports on designs of ubiquitous and seamless learning environments enabled by the integration of mobile technology into learning. However, the lack of good pedagogical designs that provide for sustainability and the inadequate investigation of learning outcomes remain major gaps in the current studies on mobile learning.…

A Study of the Effects of Digital Learning on Learning Motivation and Learning Outcome

ERIC Educational Resources Information Center

Lin, Ming-Hung; Chen, Huang-Cheng; Liu, Kuang-Sheng

2017-01-01

In the modern society when intelligent mobile devices become popular, the Internet breaks through the restrictions on time and space and becomes a ubiquitous learning tool. Designing teaching activity for digital learning and flexibly applying technology tools are the key issues for current information technology integrated education. In this…

Applying an AR Technique to Enhance Situated Heritage Learning in a Ubiquitous Learning Environment

ERIC Educational Resources Information Center

Chang, Yi Hsing; Liu, Jen-ch'iang

2013-01-01

Since AR can display 3D materials and learner motivation is enhanced in a situated learning environment, this study explores the learning effectiveness of learners when combining AR technology and the situation learning theory. Based on the concept of embedding the characteristics of augmented reality and situated learning into a real situation to…

Modified UTAUT2 Model for M-Learning among Students in India

ERIC Educational Resources Information Center

Bharati, V. Jayendra; Srikanth, R.

2018-01-01

Ubiquitous technologies have a great potential to enrich students' academic experience. Students are more interested in using interactive learning techniques apart from the traditional learning techniques. Several research studies for m-learning has been done in the USA, UK concentrating on students undergoing a graduation degree, especially…

Performance, Cognitive Load, and Behaviour of Technology-Assisted English Listening Learning: From CALL to MALL

ERIC Educational Resources Information Center

Chang, Chi-Cheng; Warden, Clyde A.; Liang, Chaoyun; Chou, Pao-Nan

2018-01-01

This study examines differences in English listening comprehension, cognitive load, and learning behaviour between outdoor ubiquitous learning and indoor computer-assisted learning. An experimental design, employing a pretest-posttest control group is employed. Randomly assigned foreign language university majors joined either the experimental…

Connected and Ubiquitous: A Discussion of Two Theories That Impact Future Learning Applications

ERIC Educational Resources Information Center

Bair, Richard A.; Stafford, Timothy

2016-01-01

Mobile media break down traditional barriers that have defined learning in schools because they enable constant, personalized access to media. This information-rich environment could dramatically expand learning opportunities. This article identifies and discusses two instructional design theories for mobile learning including the major…

Mobile Learning: Extreme Outcomes of "Everywhere, Anytime"

ERIC Educational Resources Information Center

De Simone, Giuseppe Cosimo

2016-01-01

Mobile learning, if considered in its most enthusiastic versions, promises to transform the world of learning. It seems that mobile devices will lead to overcome the narrow limits of the classroom to achieve ubiquitous learning. But if we analyze critically the promise of the everywhere, anytime, suspending judgment on its feasibility, interesting…

Multiplatform E-Learning Systems and Technologies: Mobile Devices for Ubiquitous ICT-Based Education

ERIC Educational Resources Information Center

Goh, Tiong Thye, Ed.

2010-01-01

Multiplatform e-learning systems are emerging technologies that provide integrated learning content to various accessing devices. This book addresses technical challenges, design frameworks, and development experiences of the future that integrate multiple mobile devices into a single multiplatform e-learning system. With expert international…

Users' Behavior towards Ubiquitous M-Learning

ERIC Educational Resources Information Center

Suki, Norazah Mohd; Suki, Norbayah Mohd

2011-01-01

Mobile technologies have enabled a new way of communicating, for whom mobile communications are part of normal daily interaction. This paper explores the proposed and verified Technology Acceptance Model (TAM) that can be employed to explain the acceptance of Mobile Learning (M-learning), an activity in which users access learning material with…

Outdoor Natural Science Learning with an RFID-Supported Immersive Ubiquitous Learning Environment

ERIC Educational Resources Information Center

Liu, Tsung-Yu; Tan, Tan-Hsu; Chu, Yu-Ling

2009-01-01

Despite their successful use in many conscientious studies involving outdoor learning applications, mobile learning systems still have certain limitations. For instance, because students cannot obtain real-time, context-aware content in outdoor locations such as historical sites, endangered animal habitats, and geological landscapes, they are…

Conditions for Ubiquitous Computing: What Can Be Learned from a Longitudinal Study

ERIC Educational Resources Information Center

Lei, Jing

2010-01-01

Based on survey data and interview data collected over four academic years, this longitudinal study examined how a ubiquitous computing project evolved along with the changes in teachers, students, the human infrastructure, and technology infrastructure in the school. This study also investigated what conditions were necessary for successful…

Structural Analysis of a Tablet PC Based Language Test

ERIC Educational Resources Information Center

Magal Royo, Teresa; Garcia Laborda, Jesus; Gimenez Lopez, Jose Luis; Otero de Juan, Nuria

2015-01-01

Ubiquitous language learning and testing has become a new challenging trend. Budget constraints in Europe and the rest of the world have made this way of delivery very attractive for materials designers as well as language testing organizations. Ubiquitous testing has a very especial interest in low and medium stakes language testing in which…

Understanding the Behavioral Intention to Play Austronesian Learning Games: From the Perspectives of Learning Outcome, Service Quality, and Hedonic Value

ERIC Educational Resources Information Center

Hsiao, Kuo-Lun; Huang, Tien-Chi; Chen, Mu-Yen; Chiang, Nien-Ting

2018-01-01

Although ubiquitous learning is a novel and creative teaching approach, two key issues inhibit its success overall: a lack of appropriate learning strategies regarding learning objectives, and ineffective learning tools for receiving knowledge regarding the chosen subjects. To address these issues, we develops and designs a game-based educational…

English in Class and on the Go: Multimodal U-Learning

ERIC Educational Resources Information Center

García-Sánchez, Soraya

2012-01-01

This article aims to analyse different ubiquitous learning (u-Learning) platforms used when learning English as a Foreign Language (EFL) as part of the Modern Languages Degree at the Universidad de Las Palmas de Gran Canaria (ULPGC). The combination of face-to-face lessons with multimedia content and digital mediated learning allows today's native…

Constructing a User-Friendly and Smart Ubiquitous Personalized Learning Environment by Using a Context-Aware Mechanism

ERIC Educational Resources Information Center

Yao, Ching-Bang

2017-01-01

Although m-learning applications have been widely researched, few studies have investigated applying adaptive learning content to various learning environments and efficient input interfaces. This study combined a context-aware mechanism, which can be used to provide suitable learning information anytime and anyplace by using GPS technology, with…

Mindtool-Assisted In-Field Learning (MAIL): An Advanced Ubiquitous Learning Project in Taiwan

ERIC Educational Resources Information Center

Hwang, Gwo-Jen; Hung, Pi-Hsia; Chen, Nian-Shing; Liu, Gi-Zen

2014-01-01

Scholars have identified that learning in an authentic environment with quality contextual and procedural supports can engage students in thorough observations and knowledge construction. Moreover, the target is that students are able to experience and make sense of all of the learning activities in the real-world environment with meaningful…

The Best of All Worlds: Immersive Interfaces for Art Education in Virtual and Real World Teaching and Learning Environments

ERIC Educational Resources Information Center

Grenfell, Janette

2013-01-01

Selected ubiquitous technologies encourage collaborative participation between higher education students and educators within a virtual socially networked e-learning landscape. Multiple modes of teaching and learning, ranging from real world experiences, to text and digital images accessed within the Deakin studies online learning management…

UK Higher Education Institutions' Technology-Enhanced Learning Strategies from the Perspective of Disruptive Innovation

ERIC Educational Resources Information Center

Flavin, Michael; Quintero, Valentina

2018-01-01

The publication of institutional strategies for learning, teaching and assessment in UK higher education is practically ubiquitous. Strategies for technology-enhanced learning are also widespread. This article examines 44 publicly available UK university strategies for technology-enhanced learning, aiming to assess the extent to which…

Feminist Articulations, Social Literacies, and Ubiquitous Mobile Technology Use in Kenya

ERIC Educational Resources Information Center

Sanya, Brenda N.; Odero, Phantus W.

2017-01-01

This article examines the changes occurring in learning and literacy in the age of ubiquitous mobile phone use. Focusing on rural Kenyan women's use of mobile phone technologies in civic education programs, mobile banking, and to contact family members, the article explores how these women's use of mobile phones, based on their everyday needs, has…

Bringing Mohamed to the Mountain: Situated Professional Development in a Ubiquitous Computing Classroom

ERIC Educational Resources Information Center

Swan, Karen; Kratcoski, Annette; Mazzer, Pat; Schenker, Jason

2005-01-01

This article describes an ongoing situated professional development program in which teachers bring their intact classes for an extended stay in a ubiquitous computing environment equipped with a variety of state-of-the-art computing devices. The experience is unique in that it not only situates teacher learning about technology integration in…

Context-aware access control for pervasive access to process-based healthcare systems.

PubMed

Koufi, Vassiliki; Vassilacopoulos, George

2008-01-01

Healthcare is an increasingly collaborative enterprise involving a broad range of healthcare services provided by many individuals and organizations. Grid technology has been widely recognized as a means for integrating disparate computing resources in the healthcare field. Moreover, Grid portal applications can be developed on a wireless and mobile infrastructure to execute healthcare processes which, in turn, can provide remote access to Grid database services. Such an environment provides ubiquitous and pervasive access to integrated healthcare services at the point of care, thus improving healthcare quality. In such environments, the ability to provide an effective access control mechanism that meets the requirement of the least privilege principle is essential. Adherence to the least privilege principle requires continuous adjustments of user permissions in order to adapt to the current situation. This paper presents a context-aware access control mechanism for HDGPortal, a Grid portal application which provides access to workflow-based healthcare processes using wireless Personal Digital Assistants. The proposed mechanism builds upon and enhances security mechanisms provided by the Grid Security Infrastructure. It provides tight, just-in-time permissions so that authorized users get access to specific objects according to the current context. These permissions are subject to continuous adjustments triggered by the changing context. Thus, the risk of compromising information integrity during task executions is reduced.

Using Repertory Grids to Explore Musical Skills and Attitudes in a Mature-Age Adult at the Early Stages of Learning for Self-Fulfilment: A Case Study of James

ERIC Educational Resources Information Center

Taylor, Angela

2012-01-01

Repertory grids were used as a research tool to explore 73-year-old James' musical development over two years. Choosing two music learning cultures for his instrumental learning, James learned the piano in a college workshop and the Appalachian dulcimer in his local folk group. There were clear changes in his musical skills and attitudes,…

Creating the Future of Games and Learning

ERIC Educational Resources Information Center

Squire, Kurt

2015-01-01

Games for learning are poised to enter mainstream education. Several factors driving this movement are the following: (1) Digital distribution through cloud computing services and ubiquitous connectivity which will make digital learning tools--such as games--affordable and easily accessible; (2) The proliferation of digital devices; (3) Digital…

Pervasive Computing and Communication Technologies for U-Learning

ERIC Educational Resources Information Center

Park, Young C.

2014-01-01

The development of digital information transfer, storage and communication methods influences a significant effect on education. The assimilation of pervasive computing and communication technologies marks another great step forward, with Ubiquitous Learning (U-learning) emerging for next generation learners. In the evolutionary view the 5G (or…

Ubiquitous healthcare computing with SEnsor Grid Enhancement with Data Management System (SEGEDMA).

PubMed

Preve, Nikolaos

2011-12-01

Wireless Sensor Network (WSN) can be deployed to monitor the health of patients suffering from critical diseases. Also a wireless network consisting of biomedical sensors can be implanted into the patient's body and can monitor the patients' conditions. These sensor devices, apart from having an enormous capability of collecting data from their physical surroundings, are also resource constraint in nature with a limited processing and communication ability. Therefore we have to integrate them with the Grid technology in order to process and store the collected data by the sensor nodes. In this paper, we proposed the SEnsor Grid Enhancement Data Management system, called SEGEDMA ensuring the integration of different network technologies and the continuous data access to system users. The main contribution of this work is to achieve the interoperability of both technologies through a novel network architecture ensuring also the interoperability of Open Geospatial Consortium (OGC) and HL7 standards. According to the results, SEGEDMA can be applied successfully in a decentralized healthcare environment.

Parental Support and Enjoyment of Learning in Mathematics: Does Change in Parental Support Predict Change in Enjoyment of Learning?

ERIC Educational Resources Information Center

Buff, Alex; Reusser, Kurt; Dinkelmann, Iris

2017-01-01

Positive and negative emotions are ubiquitous in everyday school life, and can foster or impair processes of learning and achievement. However, learning- and achievement-related emotions are not based solely on experiences from respective situations in the school context. Rather, experiences outside of school, e.g. learning at home, are also…

An Investigation of Mobile Learning Readiness in Higher Education Based on the Theory of Planned Behavior

ERIC Educational Resources Information Center

Cheon, Jongpil; Lee, Sangno; Crooks, Steven M.; Song, Jaeki

2012-01-01

This study investigated the current state of college students' perceptions toward mobile learning in higher education. Mobile learning is a new form of learning utilizing the unique capabilities of mobile devices. Although mobile devices are ubiquitous on college campuses, student readiness for mobile learning has yet to be fully explored in the…

Learning Design for Multiple Modes of Provision: The Zambian Community School Teacher Development Programme

ERIC Educational Resources Information Center

Amory, Alan; Bialobrzeska, Maryla; Welch, Tessa

2018-01-01

The use of technology to support learning is becoming ubiquitous in Africa. However, technology is more often used to distribute information rather than as a tool to mediate learning. The work presented here on a programme for Zambian community school teachers (non-traditional students) illustrates how learning design allied to appropriate…

The Social Semantic Web in Intelligent Learning Environments: State of the Art and Future Challenges

ERIC Educational Resources Information Center

Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek

2009-01-01

Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…

Digital "Learning Trails": Scaling Technology-Facilitated Curricular Innovation in Schools with a "Rhizomatic" Lens

ERIC Educational Resources Information Center

Jamaludin, Azilawati; Hung, David Wei Loong

2016-01-01

Technological advances in the form of ubiquitous computing has altered the learning landscape today. Contemporary modes of learning afford curricular innovations in schools. While learning journeys of decades ago entailed field trips to places of interest such as museums and zoos where students completed tasks or worksheets after each trip, the…

Language Learning Podcasts and Learners' Belief Change

ERIC Educational Resources Information Center

Basaran, Süleyman; Cabaroglu, Nese

2014-01-01

The ubiquitous use of Internet-based mobile devices in educational contexts means that mobile learning has become a plausible alternative to or a good complement for conventional classroom-based teaching. However, there is a lack of research that explores and defines the characteristics and effects of mobile language learning (LL) through language…

Ubiquitous Knowledge and Experiences to Foster EFL Learning Affordances

ERIC Educational Resources Information Center

García-Sánchez, Soraya; Luján-García, Carmen

2016-01-01

This article explores the implementation of experiential learning affordances to improve skills in English as a Foreign Language (EFL) in higher education. The administration of an online anonymous survey to 100 students of different undergraduate degrees presents current learning reflections from EFL students at the Universidad de Las Palmas de…

Learning Orthographic Structure with Sequential Generative Neural Networks

ERIC Educational Resources Information Center

Testolin, Alberto; Stoianov, Ivilin; Sperduti, Alessandro; Zorzi, Marco

2016-01-01

Learning the structure of event sequences is a ubiquitous problem in cognition and particularly in language. One possible solution is to learn a probabilistic generative model of sequences that allows making predictions about upcoming events. Though appealing from a neurobiological standpoint, this approach is typically not pursued in…

Digital Tools and Solutions for Inquiry-Based STEM Learning

ERIC Educational Resources Information Center

Levin, Ilya, Ed.; Tsybulsky, Dina, Ed.

2017-01-01

In the digital age, the integration of technology has become a ubiquitous aspect of modern society. These advancements have significantly enhanced the field of education, allowing students to receive a better learning experience. "Digital Tools and Solutions for Inquiry-Based STEM Learning" is a comprehensive source of scholarly material…

Learning Group Formation Based on Learner Profile and Context

ERIC Educational Resources Information Center

Muehlenbrock, Martin

2006-01-01

An important but often neglected aspect in Computer-Supported Collaborative Learning (CSCL) is the formation of learning groups. Until recently, most support for group formation was based on learner profile information. In addition, the perspective of ubiquitous computing and ambient intelligence allows for a wider perspective on group formation,…

Developing Autonomous Learning for Oral Proficiency Using Digital Storytelling

ERIC Educational Resources Information Center

Kim, SoHee

2014-01-01

Since online educational technology can support a ubiquitous language learning environment, there are many ways to develop English learners' autonomy through self-access learning. This study investigates whether English as a second language (ESL) learners can improve their oral proficiency through independent study by using online self-study…

Complex Mobile Learning That Adapts to Learners' Cognitive Load

ERIC Educational Resources Information Center

Deegan, Robin

2015-01-01

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

Connecting Learning Spaces Using Mobile Technology

ERIC Educational Resources Information Center

Chen, Wenli; Seow, Peter; So, Hyo-Jeong; Toh, Yancy; Looi, Chee-Kit

2010-01-01

The use of mobile technology can help extend children's learning spaces and enrich the learning experiences in their everyday lives where they move from one context to another, switching locations, social groups, technologies, and topics. When students have ubiquitous access to mobile devices with full connectivity, the in-situ use of the mobile…

Organization of Distributed Adaptive Learning

ERIC Educational Resources Information Center

Vengerov, Alexander

2009-01-01

The growing sensitivity of various systems and parts of industry, society, and even everyday individual life leads to the increased volume of changes and needs for adaptation and learning. This creates a new situation where learning from being purely academic knowledge transfer procedure is becoming a ubiquitous always-on essential part of all…

Object Lesson: Discovering and Learning to Recognize Objects

DTIC Science & Technology

2002-01-01

4 x 4 grid represents the possible appearance of an edge, quantized to just two luminance levels. The dark line centered in the grid is the average...11):33-38, 1995. [16] Maja J. Mataric . A distributed model for mobile robot environment-learning and navigation. Technical Report AIlR- 1228

Vector-based navigation using grid-like representations in artificial agents.

PubMed

Banino, Andrea; Barry, Caswell; Uria, Benigno; Blundell, Charles; Lillicrap, Timothy; Mirowski, Piotr; Pritzel, Alexander; Chadwick, Martin J; Degris, Thomas; Modayil, Joseph; Wayne, Greg; Soyer, Hubert; Viola, Fabio; Zhang, Brian; Goroshin, Ross; Rabinowitz, Neil; Pascanu, Razvan; Beattie, Charlie; Petersen, Stig; Sadik, Amir; Gaffney, Stephen; King, Helen; Kavukcuoglu, Koray; Hassabis, Demis; Hadsell, Raia; Kumaran, Dharshan

2018-05-01

Deep neural networks have achieved impressive successes in fields ranging from object recognition to complex games such as Go 1,2 . Navigation, however, remains a substantial challenge for artificial agents, with deep neural networks trained by reinforcement learning 3-5 failing to rival the proficiency of mammalian spatial behaviour, which is underpinned by grid cells in the entorhinal cortex 6 . Grid cells are thought to provide a multi-scale periodic representation that functions as a metric for coding space 7,8 and is critical for integrating self-motion (path integration) 6,7,9 and planning direct trajectories to goals (vector-based navigation) 7,10,11 . Here we set out to leverage the computational functions of grid cells to develop a deep reinforcement learning agent with mammal-like navigational abilities. We first trained a recurrent network to perform path integration, leading to the emergence of representations resembling grid cells, as well as other entorhinal cell types 12 . We then showed that this representation provided an effective basis for an agent to locate goals in challenging, unfamiliar, and changeable environments-optimizing the primary objective of navigation through deep reinforcement learning. The performance of agents endowed with grid-like representations surpassed that of an expert human and comparison agents, with the metric quantities necessary for vector-based navigation derived from grid-like units within the network. Furthermore, grid-like representations enabled agents to conduct shortcut behaviours reminiscent of those performed by mammals. Our findings show that emergent grid-like representations furnish agents with a Euclidean spatial metric and associated vector operations, providing a foundation for proficient navigation. As such, our results support neuroscientific theories that see grid cells as critical for vector-based navigation 7,10,11 , demonstrating that the latter can be combined with path-based strategies to support navigation in challenging environments.

Project Final Report: Ubiquitous Computing and Monitoring System (UCoMS) for Discovery and Management of Energy Resources

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

Tzeng, Nian-Feng; White, Christopher D.; Moreman, Douglas

2012-07-14

The UCoMS research cluster has spearheaded three research areas since August 2004, including wireless and sensor networks, Grid computing, and petroleum applications. The primary goals of UCoMS research are three-fold: (1) creating new knowledge to push forward the technology forefronts on pertinent research on the computing and monitoring aspects of energy resource management, (2) developing and disseminating software codes and toolkits for the research community and the public, and (3) establishing system prototypes and testbeds for evaluating innovative techniques and methods. Substantial progress and diverse accomplishment have been made by research investigators in their respective areas of expertise cooperatively onmore » such topics as sensors and sensor networks, wireless communication and systems, computational Grids, particularly relevant to petroleum applications.« less

A Knowledge Acquisition Approach to Developing Mindtools for Organizing and Sharing Differentiating Knowledge in a Ubiquitous Learning Environment

ERIC Educational Resources Information Center

Hwang, Gwo-Jen; Chu, Hui-Chun; Lin, Yu-Shih; Tsai, Chin-Chung

2011-01-01

Previous studies have reported the importance and benefits of situating students in a real-world learning environment with access to digital-world resources. At the same time, researchers have indicated the need to develop learning guidance mechanisms or tools for assisting students to learn in such a complex learning scenario. In this study, a…

An Experiment for Improving Students Performance in Secondary and Tertiary Education by Means of M-Learning Auto-Assessment

ERIC Educational Resources Information Center

de-Marcos, Luis; Hilera, Jose Ramon; Barchino, Roberto; Jimenez, Lourdes; Martinez, Jose Javier; Gutierrez, Jose Antonio; Gutierrez, Jose Maria; Oton, Salvador

2010-01-01

Mobile learning is considered an evolution of e-learning that embraces the ubiquitous nature of current computational systems in order to improve teaching and learning. Within this context it is possible to develop mobile applications oriented to learning, but it is also important to assess to what extent such applications actually work. In this…

Are Mash-Ups the Future for Online Learning Platforms? Psychology A-Level Students' Judgements about VLE and MUPPLE Interfaces

ERIC Educational Resources Information Center

Jarvis, Matt; Gauntlett, Lizzie; Collins, Hayley

2011-01-01

Virtual Learning Environments (VLEs) have become ubiquitous in colleges and universities but have failed to consistently improve learning (Machin, 2007). An alternative interface can be provided in the form of a mashed-up personal learning environment (MUPPLE). The aim of this study was to investigate student perceptions of its desirability and…

Learning Behavior Analysis of a Ubiquitous Situated Reflective Learning System with Application to Life Science and Technology Teaching

ERIC Educational Resources Information Center

Hwang, Wu-Yuin; Chen, Hong-Ren; Chen, Nian-Shing; Lin, Li-Kai; Chen, Jin-Wen

2018-01-01

Education research has shown that reflective study can efficiently enhance learning, and the acquisition of knowledge and skills from real-life situations has become a focus of interest for scholars. The knowledge-learning model based on verbal instruction, used in traditional classrooms, does not make use of real-life situations that encourage…

E-Learning 2.0 Technologies and Web Applications in Higher Education

ERIC Educational Resources Information Center

Pelet, Jean-Eric, Ed.

2014-01-01

Once considered the traditional approach to education, brick and mortar institutions are no longer the norm due to e-learning technologies. Populations are turning into ubiquitous human beings, and educational practices are reflecting this change. "E-Learning 2.0 Technologies and Web Applications in Higher Education" compiles the latest…

The Effect of Absorptive Capacity Perceptions on the Context Aware Ubiquitous Learning Acceptance

ERIC Educational Resources Information Center

Lin, Hsiu-Fen

2013-01-01

Purpose: The purpose of this study is to examine the impact of absorptive capacity (understanding, assimilating and applying u-learning) perceptions on behavioral intention to use u-learning through path analysis and applies the technology acceptance model (TAM) as a theoretical foundation, simultaneously improving the model by adopting prior…

A Review of Models and Frameworks for Designing Mobile Learning Experiences and Environments

ERIC Educational Resources Information Center

Hsu, Yu-Chang; Ching, Yu-Hui

2015-01-01

Mobile learning has become increasingly popular in the past decade due to the unprecedented technological affordances achieved through the advancement of mobile computing, which makes ubiquitous and situated learning possible. At the same time, there have been research and implementation projects whose efforts centered on developing mobile…

The Implementation and Evaluation of a New Learning Space: A Pilot Study

ERIC Educational Resources Information Center

Wilson, Gail; Randall, Marcus

2012-01-01

A dramatic, pedagogical shift has occurred in recent years in educational environments in higher education, supported largely by the use of ubiquitous technologies. Increasingly, emphasis is being placed on the design of new learning spaces, often referred to as "Next Generation Learning Spaces" (NGLS) and their impact on pedagogy. The…

Considering Learning Styles and Context-Awareness for Mobile Adaptive Learning

ERIC Educational Resources Information Center

Tortorella, Richard A. W.; Graf, Sabine

2017-01-01

Mobile devices are becoming ubiquitous in our society and more so with school aged children. In order to get the most out of the portable computing power present at students' fingertips, this paper proposes an approach for providing mobile, personalized course content tailored to each individual's learning style while incorporating adaptive…

The Design of Motivational Agents and Avatars

ERIC Educational Resources Information Center

Baylor, Amy L.

2011-01-01

While the addition of an anthropomorphic interface agent to a learning system generally has little direct impact on learning, it potentially has a huge impact on learner motivation. As such agents become increasingly ubiquitous on the Internet, in virtual worlds, and as interfaces for learning and gaming systems, it is important to design them to…

Mobile Devices, Learning and Clinical Workplaces: Medical Student Use of Smartphones in Parisian Hospitals

ERIC Educational Resources Information Center

Phelps, Megan; Scott, Karen M.; Chauffeté-Manillier, Martine; Lenne, Frédéric; Le Jeunne, Claire

2017-01-01

Mobile devices are ubiquitous worldwide, including in hospitals. "Just in time" learning provided by these devices is important for students. We investigated current use of, and learning with, smartphones and other mobile devices by medical students in Parisian hospitals. A survey with quantitative and qualitative items previously used…

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…

LSQuiz: A Collaborative Classroom Response System to Support Active Learning through Ubiquitous Computing

ERIC Educational Resources Information Center

Caceffo, Ricardo; Azevedo, Rodolfo

2014-01-01

The constructivist theory indicates that knowledge is not something finished and complete. However, the individuals must construct it through the interaction with the physical and social environment. The Active Learning is a methodology designed to support the constructivism through the involvement of students in their learning process, allowing…

School Librarians Fully Online: Preparing the Twenty-First Century Professional

ERIC Educational Resources Information Center

Santos Green, Lucy; Jones, Stephanie A.; Burke, Panne Andrea

2017-01-01

Online learning, already an essential component of the higher-education and professional landscape, has now developed a more ubiquitous presence in K-12 learning due to educational trends such as flipped education and use of tools such as Google Classroom. Despite the increasingly important role of online learning in K-12 education, little…

Design, Development, and Evaluation of a Mobile Learning Application for Computing Education

ERIC Educational Resources Information Center

Oyelere, Solomon Sunday; Suhonen, Jarkko; Wajiga, Greg M.; Sutinen, Erkki

2018-01-01

The study focused on the application of the design science research approach in the course of developing a mobile learning application, MobileEdu, for computing education in the Nigerian higher education context. MobileEdu facilitates the learning of computer science courses on mobile devices. The application supports ubiquitous, collaborative,…

Development of Social Mediation and Emotional Regulation in Virtual Learning Environment Research

ERIC Educational Resources Information Center

Lehtonen, Miika; Page, Tom; Miloseva, Lence; Thorsteinsson, Gisli

2008-01-01

This paper puts forward a series of theoretical underpinnings and design considerations for embodying emotional and aesthetic aspects of virtual (reality) and learning environment (VLEs) in support of ubiquitous teaching, studying and learning. The authors assert that a VLE should be considered as an interactive and sensation-producing affordances…

A Case of a Laptop Learning Campus: How Do Technology Choices Affect Perceptions?

ERIC Educational Resources Information Center

Percival, Jennifer; Percival, Nathan

2009-01-01

Laptop learning programs have been developed to create ubiquitous online learning environments. Given the infancy of many programs, there is little understanding of aspects of the program are perceived to provide value to faculty and students. This paper focuses on the value proposition (with respect to perceived benefits versus capital…

Location Based Services for Outdoor Ecological Learning System: Design and Implementation

ERIC Educational Resources Information Center

Hsiao, Hsien-Sheng; Lin, Chih-Cheng; Feng, Ruei-Ting; Li, Kun Jing

2010-01-01

This paper aimed to demonstrate how location-based services were implemented in ubiquitous outdoor ecological learning system. In an elementary school in northern Taiwan, two fifth grade classes on an ecology project were randomly selected: The experimental group could access the ecological learning system on hand-held devices while the control…

The Use of Ubiquitous Sensor Technology in Evaluating Student Thought Process during Practical Operations for Improving Student Technical and Creative Skills

ERIC Educational Resources Information Center

Jou, Min; Wang, Jingying

2015-01-01

This study investigated a Ubiquitous Sensor System (USS) that we developed to assess student thought process during practical lessons on a real-time basis and to provide students with a reflective learning environment. Behavioral curves and data obtained by the USS would help students understand where they had made mistakes during practical…

Player Types, Play Styles, and Play Complexity: Updating the Entertainment Grid

ERIC Educational Resources Information Center

Rademacher Mena, Ricardo Javier

2012-01-01

In a previous work the author created the Education and Entertainment Grid by combining various taxonomies from the fields of play and learning. In this paper, a section of this grid known as the Entertainment Grid will be extended by including previously unused elements of Richard Bartle's online player types and Robert Caillois' play complexity.…

Ubiquitous CM and DM

NASA Technical Reports Server (NTRS)

Crowley, Sandra L.

2000-01-01

Ubiquitous is a real word. I thank a former Total Quality Coach for my first exposure some years ago to its existence. My version of Webster's dictionary defines ubiquitous as "present, or seeming to be present, everywhere at the same time; omnipresent." While I believe that God is omnipresent, I have come to discover that CM and DM are present everywhere. Oh, yes; I define CM as Configuration Management and DM as either Data or Document Management. Ten years ago, I had my first introduction to the CM world. I had an opportunity to do CM for the Space Station effort at the NASA Lewis Research Center. I learned that CM was a discipline that had four areas of focus: identification, control, status accounting, and verification. I was certified as a CMIl graduate and was indoctrinated about clear, concise, and valid. Off I went into a world of entirely new experiences. I was exposed to change requests and change boards first hand. I also learned about implementation of changes, and then of technical and CM requirements.

Digital Learning Resources and Ubiquitous Technologies in Education

ERIC Educational Resources Information Center

Camilleri, Mark Anthony; Camilleri, Adriana Caterina

2017-01-01

This research explores the educators' attitudes and perceptions about their utilisation of digital learning technologies. The methodology integrates measures from "the pace of technological innovativeness" and the "technology acceptance model" to understand the rationale for further ICT investment in compulsory education. A…

The Effect of English for Specific Purposes (ESP) Learning-Language Lab versus Mobile-Assisted Learning

ERIC Educational Resources Information Center

Shih, Ru-Chu

2017-01-01

In recent years, the rapid advancement of information technology has had a great impact on our daily life and changed the world in which we operate; in particular, mobile devices have become more portable and powerful than ever. As a result, mobile-assisted language learning (MALL) and ubiquitous learning have been widely adopted in a variety of…

Evolving Pedagogical Perceptions of Teachers Integrating Ubiquitous Computing in Their Classrooms: A Case Study of the South Dakota Laptop Program

ERIC Educational Resources Information Center

Pogany, Wade S.

2009-01-01

With technology changing the world at a rapid rate, the impact of ubiquitous computing in the classroom has had an influence on education. As the number of one-to-one laptop initiatives grows, the need for further research on the effects of teaching and learning also increases. This case study sought to examine changes in teaching that resulted…

Wireless Technologies, Ubiquitous Computing and Mobile Health: Application to Drug Abuse Treatment and Compliance with HIV Therapies.

PubMed

Boyer, Edward W; Smelson, David; Fletcher, Richard; Ziedonis, Douglas; Picard, Rosalind W

2010-06-01

Beneficial advances in the treatment of substance abuse and compliance with medical therapies, including HAART, are possible with new mobile technologies related to personal physiological sensing and computational methods. When incorporated into mobile platforms that allow for ubiquitous computing, these technologies have great potential for extending the reach of behavioral interventions from clinical settings where they are learned into natural environments.

Hybrid Multiagent System for Automatic Object Learning Classification

NASA Astrophysics Data System (ADS)

Gil, Ana; de La Prieta, Fernando; López, Vivian F.

The rapid evolution within the context of e-learning is closely linked to international efforts on the standardization of learning object metadata, which provides learners in a web-based educational system with ubiquitous access to multiple distributed repositories. This article presents a hybrid agent-based architecture that enables the recovery of learning objects tagged in Learning Object Metadata (LOM) and provides individualized help with selecting learning materials to make the most suitable choice among many alternatives.

Mediating Authentic Learning: The Use of Wiki's and Blogs in an Undergraduate Curriculum in South Africa

ERIC Educational Resources Information Center

Titus, Simone

2013-01-01

Over the past few years, the virtual landscape of South African higher education institutions has changed as a result of ubiquitous and ever-present technological initiatives that can potentially provide students with a flexible learning space. Within these learning spaces, Web 2.0 tools have transformed educators' pedagogical approaches to…

Understanding Angle and Angle Measure: A Design-Based Research Study Using Context Aware Ubiquitous Learning

ERIC Educational Resources Information Center

Crompton, Helen

2015-01-01

Mobile technologies are quickly becoming tools found in the educational environment. The researchers in this study use a form of mobile learning to support students in learning about angle concepts. Design-based research is used in this study to develop an empirically-substantiated local instruction theory about students' develop of angle and…

Do English Listening Outcome and Cognitive Load Change for Different Media Delivery Modes in U-Learning?

ERIC Educational Resources Information Center

Chang, Chi-Cheng; Lei, Hao; Tseng, Ju-Shih

2014-01-01

Although ubiquitous learning enhances students' access to learning materials, it is crucial to find out which media delivery modes produce the best results for English listening comprehension. The present study examined the effect of media delivery mode (sound and text vs. sound) on English listening comprehension and cognitive load. Participants…

Media Use in Higher Education from a Cross-National Perspective

ERIC Educational Resources Information Center

Grosch, Michael

2013-01-01

The web 2.0 has already penetrated the learning environment of students ubiquitously. This dissemination of online services into tertiary education has led to constant changes in students' learning and study behaviour. Students use services such as Google and Wikipedia most often not only during free time but also for learning. At the same…

A Context-Aware Knowledge Map to Support Ubiquitous Learning Activities for a u-Botanical Museum

ERIC Educational Resources Information Center

Wang, Shu-Lin; Chen, Chia-Chen; Zhang, Zhe George

2015-01-01

Recent developments in mobile and wireless communication technologies have played a vital role in building the u-learning environment that now combines both real-world and digital learning resources. However, learners still require assistance to control real objects and manage the abundance of available materials; otherwise, their mental workload…

Semantic Annotation of Resources to Learn with Connected Things

ERIC Educational Resources Information Center

Bouchereau, Aymeric; Roxin, Ioan

2017-01-01

Computer systems tend to be ubiquitous as they become more integrated in our everyday activities, embedded in tables, shoes, watch and plenty of others connected things (CT). In the e-learning field, the transformations induced by the Internet of Things (IoT) allow individuals to learn whenever they want, accessing a quantity of diverse digital…

Building the Future of Learning

ERIC Educational Resources Information Center

Watson, Les

2007-01-01

Could it be that in our excitement about e-learning we forgot about buildings? With the advent of the personal computer and ubiquitous networks were we enticed into thinking that they would suffice and learning would follow removing the need for places and communities for learners? We now seem to have woken up, however, as there is an enormous…

Media as Social Partners: The Social Nature of Young Children's Learning from Screen Media

ERIC Educational Resources Information Center

Richert, Rebekah A.; Robb, Michael B.; Smith, Erin I.

2011-01-01

Television has become a nearly ubiquitous feature in children's cultural landscape. A review of the research into young children's learning from television indicates that the likelihood that children will learn from screen media is influenced by their developing social relationships with on-screen characters, as much as by their developing…

An Exploration into First-Year University Students' Approaches to Inquiry and Online Learning Technologies in Blended Environments

ERIC Educational Resources Information Center

Ellis, Robert A.; Bliuc, Ana-Maria

2016-01-01

The use of online learning technologies in experiences of inquiry is increasingly ubiquitous in university contexts. In blended environments, research into university experiences suggests that student approaches to learning are a key determiner of the quality of outcomes. The purpose of this study was to develop relevant measures which help…

Ubiquitous Learning (U-Learning) Awareness among the Tuticorin District B.Ed., Trainees

ERIC Educational Resources Information Center

Thiyagu, K.

2011-01-01

The rapid development of information and communication technologies during the past two decades has had many points of contact with education and training. The use of technology in colleges and schools is not new. Teacher training often includes computer-assisted learning along with other multimedia presentation techniques. The power of ICT over…

Ubiquitous health in practice: the interreality paradigm.

PubMed

Gaggioli, Andrea; Raspelli, Simona; Grassi, Alessandra; Pallavicini, Federica; Cipresso, Pietro; Wiederhold, Brenda K; Riva, Giuseppe

2011-01-01

In this paper we introduce a new ubiquitous computing paradigm for behavioral health care: "Interreality". Interreality integrates assessment and treatment within a hybrid environment, that creates a bridge between the physical and virtual worlds. Our claim is that bridging virtual experiences (fully controlled by the therapist, used to learn coping skills and emotional regulation) with real experiences (allowing both the identification of any critical stressors and the assessment of what has been learned) using advanced technologies (virtual worlds, advanced sensors and PDA/mobile phones) may improve existing psychological treatment. To illustrate the proposed concept, a clinical scenario is also presented and discussed: Daniela, a 40 years old teacher, with a mother affected by Alzheimer's disease.

Mobile and Accessible Learning for MOOCs

ERIC Educational Resources Information Center

Sharples, Mike; Kloos, Carlos Delgado; Dimitriadis, Yannis; Garlatti, Serge; Specht, Marcus

2015-01-01

Many modern web-based systems provide a "responsive" design that allows material and services to be accessed on mobile and desktop devices, with the aim of providing "ubiquitous access." Besides offering access to learning materials such as podcasts and videos across multiple locations, mobile, wearable and ubiquitous…

The Healthgrid White Paper.

PubMed

Breton, Vincent; Dean, Kevin; Solomonides, Tony; Blanquer, I; Hernandez, V; Medico, E; Maglaveras, N; Benkner, S; Lonsdale, G; Lloyd, S; Hassan, K; McClatchey, R; Miguet, S; Montagnat, J; Pennec, X; De Neve, W; De Wagter, C; Heeren, G; Maigne, L; Nozaki, K; Taillet, M; Bilofsky, H; Ziegler, R; Hoffman, M; Jones, C; Cannataro, M; Veltri, P; Aloisio, G; Fiore, S; Mirto, M; Chouvarda, I; Koutkias, V; Malousi, A; Lopez, V; Oliveira, I; Sanchez, J P; Martin-Sanchez, F; De Moor, G; Claerhout, B; Herveg, J A M

2005-01-01

Over the last four years, a community of researchers working on Grid and High Performance Computing technologies started discussing the barriers and opportunities that grid technologies must face and exploit for the development of health-related applications. This interest lead to the first Healthgrid conference, held in Lyon, France, on January 16th-17th, 2003, with the focus of creating increased awareness about the possibilities and advantages linked to the deployment of grid technologies in health, ultimately targeting the creation of a European/international grid infrastructure for health. The topics of this conference converged with the position of the eHealth division of the European Commission, whose mandate from the Lisbon Meeting was "To develop an intelligent environment that enables ubiquitous management of citizens' health status, and to assist health professionals in coping with some major challenges, risk management and the integration into clinical practice of advances in health knowledge." In this context "Health" involves not only clinical procedures but covers the whole range of information from molecular level (genetic and proteomic information) over cells and tissues, to the individual and finally the population level (social healthcare). Grid technology offers the opportunity to create a common working backbone for all different members of this large "health family" and will hopefully lead to an increased awareness and interoperability among disciplines. The first HealthGrid conference led to the creation of the Healthgrid association, a non-profit research association legally incorporated in France but formed from the broad community of European researchers and institutions sharing expertise in health grids. After the second Healthgrid conference, held in Clermont-Ferrand on January 29th-30th, 2004, the need for a "white paper" on the current status and prospective of health grids was raised. Over fifty experts from different areas of grid technologies, eHealth applications and the medical world were invited to contribute to the preparation of this document.

NREL, Toyota Partnering on Plug-In Hybrid Electric Vehicle Grid Integration

Science.gov Websites

find out how all those new vehicles charging up at the same time will affect power quality on the distribution grid. Knowing how much is too much for the grid will lead to better strategies to monitor and control distribution, ensuring that as more PHEV owners plug in, the grid is ready. To learn more about

A Service-oriented Approach towards Context-aware Mobile Learning Management Systems

DTIC Science & Technology

2010-07-01

towards a pervasive university. Keywords-context-aware computing, service-oriented archi- tecture, mobile computing, elearning , learn management sys- tem I...usage of device- specific features provide support for various ubiquitous and pervasive eLearning scenarios [2][3]. By knowing where the user currently...data from the mobile device towards a context-aware mobile LMS. II. BASIC CONCEPTS For a better understanding of the presented eLearning sce- narios

Perspectives on Emerging/Novel Computing Paradigms and Future Aerospace Workforce Environments

NASA Technical Reports Server (NTRS)

Noor, Ahmed K.

2003-01-01

The accelerating pace of the computing technology development shows no signs of abating. Computing power reaching 100 Tflop/s is likely to be reached by 2004 and Pflop/s (10(exp 15) Flop/s) by 2007. The fundamental physical limits of computation, including information storage limits, communication limits and computation rate limits will likely be reached by the middle of the present millennium. To overcome these limits, novel technologies and new computing paradigms will be developed. An attempt is made in this overview to put the diverse activities related to new computing-paradigms in perspective and to set the stage for the succeeding presentations. The presentation is divided into five parts. In the first part, a brief historical account is given of development of computer and networking technologies. The second part provides brief overviews of the three emerging computing paradigms grid, ubiquitous and autonomic computing. The third part lists future computing alternatives and the characteristics of future computing environment. The fourth part describes future aerospace workforce research, learning and design environments. The fifth part lists the objectives of the workshop and some of the sources of information on future computing paradigms.

Ubiquitous Technology in Healthcare and Teaching-Learning: Scourge or Blessing?

PubMed

Yancey, Nan Russell

2017-07-01

The author in this article introduces a discussion of one school of nursing's efforts integrating telehealth education into undergraduate and graduate curricula using King's theory of goal attainment as a guide. The introduction shares a story of loss in a rural setting without access to quality healthcare to highlight the blessing technology may be. However, challenges are discussed that arise through the ubiquitous use of technology in person-to-person communication and relationships.

Mobile Devices: Toys or Learning Tools for the 21st Century Teenagers?

ERIC Educational Resources Information Center

Kee, Ch'ng Lay; Samsudin, Zarina

2014-01-01

Learning is interwoven in daily life and so it can be take place at anytime and anywhere by using mobile device. In the 21st century, mobile devices have become ubiquitous, affordable and accessible for the teenagers. The teenagers have the opportunity to perform the learning activities by using the mobile devices. However, what are they used…

Closing the Loop: Automated Data-Driven Cognitive Model Discoveries Lead to Improved Instruction and Learning Gains

ERIC Educational Resources Information Center

Liu, Ran; Koedinger, Kenneth R.

2017-01-01

As the use of educational technology becomes more ubiquitous, an enormous amount of learning process data is being produced. Educational data mining seeks to analyze and model these data, with the ultimate goal of improving learning outcomes. The most firmly grounded and rigorous evaluation of an educational data mining discovery is whether it…

Grids in topographic maps reduce distortions in the recall of learned object locations.

PubMed

Edler, Dennis; Bestgen, Anne-Kathrin; Kuchinke, Lars; Dickmann, Frank

2014-01-01

To date, it has been shown that cognitive map representations based on cartographic visualisations are systematically distorted. The grid is a traditional element of map graphics that has rarely been considered in research on perception-based spatial distortions. Grids do not only support the map reader in finding coordinates or locations of objects, they also provide a systematic structure for clustering visual map information ("spatial chunks"). The aim of this study was to examine whether different cartographic kinds of grids reduce spatial distortions and improve recall memory for object locations. Recall performance was measured as both the percentage of correctly recalled objects (hit rate) and the mean distance errors of correctly recalled objects (spatial accuracy). Different kinds of grids (continuous lines, dashed lines, crosses) were applied to topographic maps. These maps were also varied in their type of characteristic areas (LANDSCAPE) and different information layer compositions (DENSITY) to examine the effects of map complexity. The study involving 144 participants shows that all experimental cartographic factors (GRID, LANDSCAPE, DENSITY) improve recall performance and spatial accuracy of learned object locations. Overlaying a topographic map with a grid significantly reduces the mean distance errors of correctly recalled map objects. The paper includes a discussion of a square grid's usefulness concerning object location memory, independent of whether the grid is clearly visible (continuous or dashed lines) or only indicated by crosses.

Evidence for Feature and Location Learning in Human Visual Perceptual Learning

ERIC Educational Resources Information Center

Moreno-Fernández, María Manuela; Salleh, Nurizzati Mohd; Prados, Jose

2015-01-01

In Experiment 1, human participants were pre-exposed to two similar checkerboard grids (AX and X) in alternation, and to a third grid (BX) in a separate block of trials. In a subsequent test, the unique feature A was better detected than the feature B when they were presented in the same location during the pre-exposure and test phases. However,…

Teaching Fractions and Decimals: Fun with Picture Grids.

ERIC Educational Resources Information Center

Stix, Andi

In these two companion papers, a learning activity is introduced that teaches students how mathematics works through the visual aid of picture grids. The picture grids are composed of 60 different acrylic stained-glass window overlays. Each fractional part is represented by a different color: fifths are green, quarters are yellow, etc. The square…

Does Daltonism Influence Young Children's Learning?

ERIC Educational Resources Information Center

Suero, M.I.; Perez, A.L.; Diaz, F.; Montanero, M.; Pardo, P.J.; Gil, J.; Palomino, M.I.

2005-01-01

Anomalies in colour vision constitute a particular type of sensory deficiency whose influence in educational contexts has attracted surprisingly little research attention given its ubiquitous use in various learning activities as a code, an aid, or even as the focus of the activity itself, especially during early education. We here describe a…

Learning in the Clouds?

ERIC Educational Resources Information Center

Butin, Dan W.

2013-01-01

Engaged learning--the type that happens outside textbooks and beyond the four walls of the classroom--moves beyond right and wrong answers to grappling with the uncertainties and contradictions of a complex world. iPhones back up to the "cloud." GoogleDocs is all about "cloud computing." Facebook is as ubiquitous as the sky.…

Enhancing Undergraduate Chemistry Learning by Helping Students Make Connections among Multiple Graphical Representations

ERIC Educational Resources Information Center

Rau, Martina A.

2015-01-01

Multiple representations are ubiquitous in chemistry education. To benefit from multiple representations, students have to make connections between them. However, connection making is a difficult task for students. Prior research shows that supporting connection making enhances students' learning in math and science domains. Most prior research…

Learning, Development, and Training: The Influence of Synergies through Educational Evolution

ERIC Educational Resources Information Center

Thoms, Charlotte L. V.; Burton, Sharon L.

2016-01-01

Continuous learning is essential in academic and business environments for the 21st century learner as success, survival, and growth lean toward the educator answering the question, "Which educational design best facilitates educators in becoming learner-focused while producing adaptive completers in this ubiquitous learning…

Penetrating the Fog: Analytics in Learning and Education

ERIC Educational Resources Information Center

Siemens, George; Long, Phil

2011-01-01

Attempts to imagine the future of education often emphasize new technologies--ubiquitous computing devices, flexible classroom designs, and innovative visual displays. But the most dramatic factor shaping the future of higher education is something that people cannot actually touch or see: "big data and analytics." Learning analytics is still in…

Formative Assessment Design for PDA Integrated Ecology Observation

ERIC Educational Resources Information Center

Hung, Pi-Hsia; Lin, Yu-Fen; Hwang, Gwo-Jen

2010-01-01

Ubiquitous computing and mobile technologies provide a new perspective for designing innovative outdoor learning experiences. The purpose of this study is to propose a formative assessment design for integrating PDAs into ecology observations. Three learning activities were conducted in this study. An action research approach was applied to…

Concept Maps as Cognitive Visualizations of Writing Assignments

ERIC Educational Resources Information Center

Villalon, Jorge; Calvo, Rafael A.

2011-01-01

Writing assignments are ubiquitous in higher education. Writing develops not only communication skills, but also higher-level cognitive processes that facilitate deep learning. Cognitive visualizations, such as concept maps, can also be used as part of learning activities including as a form of scaffolding, or to trigger reflection by making…

Group Practices: A New Way of Viewing CSCL

ERIC Educational Resources Information Center

Stahl, Gerry

2017-01-01

The analysis of "group practices" can make visible the work of novices learning how to inquire in science or mathematics. These ubiquitous practices are invisibly taken for granted by adults, but can be observed and rigorously studied in adequate traces of online collaborative learning. Such an approach contrasts with traditional…

The Trouble with Thinking like Arena: Learning to Use Simulation Software

ERIC Educational Resources Information Center

Rodgers, Diane M.; Moraga, Reinaldo J.

2011-01-01

Simulation software used for modeling has become as ubiquitous as computers themselves. Despite growing reliance on simulation in educational and workplace settings, users encounter frustration in using simulation software programs. The authors conducted a study with 26 engineering students and interviewed them about their experience learning the…

Increasing Student-Learning Team Effectiveness with Team Charters

ERIC Educational Resources Information Center

Hunsaker, Phillip; Pavett, Cynthia; Hunsaker, Johanna

2011-01-01

Because teams are a ubiquitous part of most organizations today, it is common for business educators to use team assignments to help students experientially learn about course concepts and team process. Unfortunately, students frequently experience a number of problems during team assignments. The authors describe the results of their research and…

Semantic Annotation of Ubiquitous Learning Environments

ERIC Educational Resources Information Center

Weal, M. J.; Michaelides, D. T.; Page, K.; De Roure, D. C.; Monger, E.; Gobbi, M.

2012-01-01

Skills-based learning environments are used to promote the acquisition of practical skills as well as decision making, communication, and problem solving. It is important to provide feedback to the students from these sessions and observations of their actions may inform the assessment process and help researchers to better understand the learning…

Educational Affordances of a Ubiquitous Learning Environment in a Natural Science Course

ERIC Educational Resources Information Center

Tan, Tan-Hsu; Lin, Min-Sheng; Chu, Yu-Ling; Liu, Tsung-Yu

2012-01-01

Educational affordances are worthy of being explored because the affordances of Information and Communication Technologies (ICT) provide the pedagogical effects for promoting cognitive acceleration, increasing the self-management of students, facilitating data collection, and presentation in science learning. This study aims to explore educational…

Augmenting Traditional Books with Context-Aware Learning Supports from Online Learning Communities

ERIC Educational Resources Information Center

Chen, Gwo-Dong; Chao, Po-Yao

2008-01-01

Recent advances in ubiquitous computing technologies have brought reality augmentation of traditional objects to context-aware and social supports. Although a significant proportion of students prefer poring over traditional paper textbooks over electronic books, few studies have enhanced reading practice of traditional books with ubiquitous…

Environmental boundaries as a mechanism for correcting and anchoring spatial maps

PubMed Central

2016-01-01

Abstract Ubiquitous throughout the animal kingdom, path integration‐based navigation allows an animal to take a circuitous route out from a home base and using only self‐motion cues, calculate a direct vector back. Despite variation in an animal's running speed and direction, medial entorhinal grid cells fire in repeating place‐specific locations, pointing to the medial entorhinal circuit as a potential neural substrate for path integration‐based spatial navigation. Supporting this idea, grid cells appear to provide an environment‐independent metric representation of the animal's location in space and preserve their periodic firing structure even in complete darkness. However, a series of recent experiments indicate that spatially responsive medial entorhinal neurons depend on environmental cues in a more complex manner than previously proposed. While multiple types of landmarks may influence entorhinal spatial codes, environmental boundaries have emerged as salient landmarks that both correct error in entorhinal grid cells and bind internal spatial representations to the geometry of the external spatial world. The influence of boundaries on error correction and grid symmetry points to medial entorhinal border cells, which fire at a high rate only near environmental boundaries, as a potential neural substrate for landmark‐driven control of spatial codes. The influence of border cells on other entorhinal cell populations, such as grid cells, could depend on plasticity, raising the possibility that experience plays a critical role in determining how external cues influence internal spatial representations. PMID:26563618

Utilization of optical sensors for phasor measurement units

DOE PAGES

Yao, Wenxuan; Wells, David; King, Daniel; ...

2017-11-10

With the help of GPS signals for synchronization, increasingly ubiquitous phasor measurement units (PMUs) provide power grid operators unprecedented system monitoring and control opportunities. However, the performance of PMUs is limited by the inherent deficiencies in traditional transformers. To address these issues, an optical sensor is used in PMU for signal acquisition to replace the traditional transformers. This is the first time the utilization of an optical sensor in PMUs has ever been reported. The accuracy of frequency, angle, and amplitude are evaluated via experiments. Lastly, the optical sensor based PMU can achieve the accuracy of 9.03 × 10 –4more » Hz for frequency, 6.38 × 10 –3 rad for angle and 6.73 × 10 –2 V for amplitude with real power grid signal, demonstrating the practicability of optical sensors in future PMUs.« less

Utilization of optical sensors for phasor measurement units

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

Yao, Wenxuan; Wells, David; King, Daniel

With the help of GPS signals for synchronization, increasingly ubiquitous phasor measurement units (PMUs) provide power grid operators unprecedented system monitoring and control opportunities. However, the performance of PMUs is limited by the inherent deficiencies in traditional transformers. To address these issues, an optical sensor is used in PMU for signal acquisition to replace the traditional transformers. This is the first time the utilization of an optical sensor in PMUs has ever been reported. The accuracy of frequency, angle, and amplitude are evaluated via experiments. Lastly, the optical sensor based PMU can achieve the accuracy of 9.03 × 10 –4more » Hz for frequency, 6.38 × 10 –3 rad for angle and 6.73 × 10 –2 V for amplitude with real power grid signal, demonstrating the practicability of optical sensors in future PMUs.« less

Capacitive touch sensing : signal and image processing algorithms

NASA Astrophysics Data System (ADS)

Baharav, Zachi; Kakarala, Ramakrishna

2011-03-01

Capacitive touch sensors have been in use for many years, and recently gained center stage with the ubiquitous use in smart-phones. In this work we will analyze the most common method of projected capacitive sensing, that of absolute capacitive sensing, together with the most common sensing pattern, that of diamond-shaped sensors. After a brief introduction to the problem, and the reasons behind its popularity, we will formulate the problem as a reconstruction from projections. We derive analytic solutions for two simple cases: circular finger on a wire grid, and square finger on a square grid. The solutions give insight into the ambiguities of finding finger location from sensor readings. The main contribution of our paper is the discussion of interpolation algorithms including simple linear interpolation , curve fitting (parabolic and Gaussian), filtering, general look-up-table, and combinations thereof. We conclude with observations on the limits of the present algorithmic methods, and point to possible future research.

Examining Issues of E-Learning Practices in Chinese Higher Education: A Cross-Sectional Study of Mainland China, Taiwan and Hong Kong

ERIC Educational Resources Information Center

Szeto, Elson

2013-01-01

Empirical studies of e-learning practices in Chinese higher education are still controversial. Shared Chinese beliefs in education, moving towards mass higher education for global competitiveness and improving e-readiness levels press for ubiquitous use of e-learning in mainland China, Taiwan and Hong Kong. This is a small-scale case study using a…

Not Just Playing Around: The MoLeNET Experience of Using Games Technologies to Support Teaching and Learning

ERIC Educational Resources Information Center

Petley, Rebecca; Attewell, Jill; Savill-Smith, Carol

2011-01-01

MoLeNET is a unique collaborative initiative, currently in its third year, which encourages and enables the introduction of mobile learning in English post 14 education via supported shared-cost projects. Mobile learning in MoLeNET is defined by MoLeNET as "The exploitation of ubiquitous handheld technologies, together with wireless and…

Grid Integration of Offshore Wind | Wind | NREL

Science.gov Websites

. Photograph of a wind turbine in the ocean. Located about 10 kilometers off the coast of Arklow, Ireland, the Grid Integration of Offshore Wind Grid Integration of Offshore Wind Much can be learned from the existing land-based integration research for handling the variability and uncertainty of the wind resource

Distance Learning and Cloud Computing: "Just Another Buzzword or a Major E-Learning Breakthrough?"

ERIC Educational Resources Information Center

Romiszowski, Alexander J.

2012-01-01

"Cloud computing is a model for the enabling of ubiquitous, convenient, and on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and other services) that can be rapidly provisioned and released with minimal management effort or service provider interaction." This…

Web Based Projects Enhancing English Language and Generic Skills Development for Asian Hospitality Industry Students

ERIC Educational Resources Information Center

Wang, Mei-jung

2009-01-01

This study investigated hospitality students' responses toward their learning experiences from undertaking group projects based upon a College web platform, the "Ubiquitous Hospitality English Learning Platform" (U-HELP). Twenty-six students in the Department of Applied Foreign Languages participated in this study. Their attitudes toward…

A Context-Aware Ubiquitous Learning Approach to Conducting Scientific Inquiry Activities in a Science Park

ERIC Educational Resources Information Center

Hwang, Gwo-Jen; Tsai, Chin-Chung; Chu, Hui-Chun; Kinshuk; Chen, Chieh-Yuan

2012-01-01

Fostering students' scientific inquiry competence has been recognised as being an important and challenging objective of science education. To strengthen the understanding of science theories or notations, researchers have suggested conducting some learning activities in the field via operating relevant devices. In a traditional infield scientific…

Designing Ubiquitous Computing to Enhance Children's Learning in Museums

ERIC Educational Resources Information Center

Hall, T.; Bannon, L.

2006-01-01

In recent years, novel paradigms of computing have emerged, which enable computational power to be embedded in artefacts and in environments in novel ways. These developments may create new possibilities for using computing to enhance learning. This paper presents the results of a design process that set out to explore interactive techniques,…

The Theory Paper: What Is the Future of Mobile Learning?

ERIC Educational Resources Information Center

Traxler, John; Koole, Marguerite

2014-01-01

Mobile learning is often described as ubiquitous, pervasive, accessible, and transparent. It has been seen as providing opportunities for those who could not previously cross existing digital divides-though it of course may create new ones. Yet, some work in the field lacks sufficient and appropriate grounding in theory to effectively address such…

Ubiquitous Learning Website: Scaffold Learners by Mobile Devices with Information-Aware Techniques

ERIC Educational Resources Information Center

Chen, G. D.; Chang, C. K.; Wang, C. Y.

2008-01-01

The portability and immediate communication properties of mobile devices influence the learning processes in interacting with peers, accessing resources and transferring data. For example, the short message and browsing functions in a cell phone provide users with timely and adaptive information access. Although many studies of mobile learning…

Teachers' Attitudes toward Mobile Learning in Korea

ERIC Educational Resources Information Center

Baek, Youngkyun; Zhang, Hui; Yun, Seongchul

2017-01-01

Mobile devices have become ubiquitous, and their uses are various. In schools, many discussions about mobile devices are ongoing as more and more teachers are adopting the technology for use in their classrooms. Teachers' attitudes toward mobile learning takes an important role in initiating its usage in schools. This study aims to investigate the…

Distributed behavior model orchestration in cognitive internet of things solution

NASA Astrophysics Data System (ADS)

Li, Chung-Sheng; Darema, Frederica; Chang, Victor

2018-04-01

The introduction of pervasive and ubiquitous instrumentation within Internet of Things (IoT) leads to unprecedented real-time visibility (instrumentation), optimization and fault-tolerance of the power grid, traffic, transportation, water, oil & gas, to give some examples. Interconnecting those distinct physical, people, and business worlds through ubiquitous instrumentation, even though still in its embryonic stage, has the potential to create intelligent IoT solutions that are much greener, more efficient, comfortable, and safer. An essential new direction to materialize this potential is to develop comprehensive models of such systems dynamically interacting with the instrumentation in a feed-back control loop. We describe here opportunities in applying cognitive computing on interconnected and instrumented worlds (Cognitive Internet of Things-CIoT) and call out the system-of-systems trend among distinct but interdependent worlds, and Dynamic Data-Driven Application System (DDDAS)-based methods for advanced understanding, analysis, and real-time decision support capabilities with the accuracy of full-scale models.

Individualised Marks for Group Work: Embedding an ePortfolio Criterion in a Criterion Referenced Assessment (CRA) Rubric for Group-Work Assessment

ERIC Educational Resources Information Center

Ellis, Leonie; Kelder, Jo-Anne

2012-01-01

Technology Enhanced Learning and Teaching (TELT) is a ubiquitous feature of the learning and teaching landscape at the University of Tasmania (UTAS), supported and guided by a university-wide TELT action plan. This paper reports on the most recent stage of an ongoing investigation into the use of ePortfolio learning technology to improve students'…

Learning to Argue in a Connected World: The Arc of Productive Disciplinary Engagement in a High School Academic Social Network

ERIC Educational Resources Information Center

Teske, Paul Robert-John

2014-01-01

Calls to virtually break down school walls through connected and blended learning environments are ubiquitous as of late as technologies in service of learning evolve and as schools are under pressure to change. Within the subject area of English Language Arts, there is a dearth of research or information on how to facilitate these new, digitally…

Active Learning with Ubiquitous Presenter and Tablet PCs

NASA Astrophysics Data System (ADS)

Price, Edward; Simon, B.

2006-12-01

Ubiquitous Presenter (UP)* is a digital presentation system that facilitates spontaneity and interactivity in the classroom. Using the system, an instructor with a Tablet PC can spontaneously modify prepared slides. Furthermore, students with web-enabled devices can add digital 'ink' or text to the instructor's slides and submit them to the instructor during class. We have used this system to facilitate interactive engagement techniques in an introductory physics class where approximately one-third of the students had access to a Tablet PC during class. Class time was used for Interactive Lecture Demonstrations, Peer Instruction, and group problem solving. We describe the implementation of these active learning activities with UP and Tablet PCs, show examples of student contributions, and describe the impact on the classroom setting. *http://up.ucsd.edu/about/

Open Science in the Cloud: Towards a Universal Platform for Scientific and Statistical Computing

NASA Astrophysics Data System (ADS)

Chine, Karim

The UK, through the e-Science program, the US through the NSF-funded cyber infrastructure and the European Union through the ICT Calls aimed to provide "the technological solution to the problem of efficiently connecting data, computers, and people with the goal of enabling derivation of novel scientific theories and knowledge".1 The Grid (Foster, 2002; Foster; Kesselman, Nick, & Tuecke, 2002), foreseen as a major accelerator of discovery, didn't meet the expectations it had excited at its beginnings and was not adopted by the broad population of research professionals. The Grid is a good tool for particle physicists and it has allowed them to tackle the tremendous computational challenges inherent to their field. However, as a technology and paradigm for delivering computing on demand, it doesn't work and it can't be fixed. On one hand, "the abstractions that Grids expose - to the end-user, to the deployers and to application developers - are inappropriate and they need to be higher level" (Jha, Merzky, & Fox), and on the other hand, academic Grids are inherently economically unsustainable. They can't compete with a service outsourced to the Industry whose quality and price would be driven by market forces. The virtualization technologies and their corollary, the Infrastructure-as-a-Service (IaaS) style cloud, hold the promise to enable what the Grid failed to deliver: a sustainable environment for computational sciences that would lower the barriers for accessing federated computational resources, software tools and data; enable collaboration and resources sharing and provide the building blocks of a ubiquitous platform for traceable and reproducible computational research.

Store Separation Lessons Learned During the Last 30 Years

DTIC Science & Technology

2010-01-01

the same time period the Influence Function Method (IFM) was also developed5. This method allowed for a straight STORE SEPARATION LESSONS LEARNED...developed at Grumman under an Air Force contract. The Influence Function Method (IFM)5,6,7 was used to determine the effect of the aircraft flowfield on...A Chimera Grid Scheme,” Advances in Grid Generation, ASME, June 1983. 5. Meyer, R., Cenko, A., and Yaros, S., “An Influence Function Method for

Ubiquitous and ambient-assisted living eHealth platforms for Down's syndrome and palliative care in the Republic of Panama: A systematic review.

PubMed

Saldaña Barrios, Juan Jose; Mendoza, Luis; Pitti, Edgardo; Vargas, Miguel

2016-10-21

In this work, the authors present two eHealth platforms that are examples of how health systems are migrating from client-server architecture to the web-based and ubiquitous paradigm. These two platforms were modeled, designed, developed and implemented with positive results. First, using ambient-assisted living and ubiquitous computing, the authors enhance how palliative care is being provided to the elderly patients and patients with terminal illness, making the work of doctors, nurses and other health actors easier. Second, applying machine learning methods and a data-centered, ubiquitous, patient's results' repository, the authors intent to improve the Down's syndrome risk estimation process with more accurate predictions based on local woman patients' parameters. These two eHealth platforms can improve the quality of life, not only physically but also psychologically, of the patients and their families in the country of Panama. © The Author(s) 2016.

An Extensible Information Grid for Risk Management

NASA Technical Reports Server (NTRS)

Maluf, David A.; Bell, David G.

2003-01-01

This paper describes recent work on developing an extensible information grid for risk management at NASA - a RISK INFORMATION GRID. This grid is being developed by integrating information grid technology with risk management processes for a variety of risk related applications. To date, RISK GRID applications are being developed for three main NASA processes: risk management - a closed-loop iterative process for explicit risk management, program/project management - a proactive process that includes risk management, and mishap management - a feedback loop for learning from historical risks that escaped other processes. This is enabled through an architecture involving an extensible database, structuring information with XML, schemaless mapping of XML, and secure server-mediated communication using standard protocols.

The Pedagogic Architecture of MOOC: A Research Project on Educational Courses in Spanish

ERIC Educational Resources Information Center

Fernández-Díaz, Elia; Rodríguez-Hoyos, Carlos; Salvador, Adelina Calvo

2017-01-01

This study has been carried out within the context of the ECO European Project (E-learning, Communication Open-Data: Massive Mobile, Ubiquitous, and Open Learning) which is being financed by the European Union over four years (2014-17). It analyses the pedagogic architecture of MOOC on pedagogic/educational subjects in Spanish over one academic…

Integrating Experiential Learning into Business Courses: Using Learning Journals to Create Living Case Studies

ERIC Educational Resources Information Center

McHann, James C.; Frost, Laura A.

2010-01-01

Research demonstrates that the capacity to implement strategy and to execute plans drives business success (Hrebiniak, 2007) and that businesses' inability to succeed by executing effectively arises from the ubiquitous incapacity of business professionals to overcome the gap between what they know and what they are actually able to do, whether…

Exploring Quality Teaching in the Online Environment Using an Evidence-Based Approach

ERIC Educational Resources Information Center

Prieto-Rodriguez, Elena; Gore, Jennifer; Holmes, Kathryn

2016-01-01

Online learning is increasingly ubiquitous in higher education. However, research regarding online teaching often focuses on the affordances of the online environment rather than on the quality of pedagogy. In this paper we consider how online learning could be enhanced using rich pedagogical models that are consistent with a wealth of existing…

Leveraging Mobile Technology for Sustainable Seamless Learning: A Research Agenda

ERIC Educational Resources Information Center

Looi, Chee-Kit; Seow, Peter; Zhang, BaoHui; So, Hyo-Jeong; Chen, Wenli; Wong, Lung-Hsiang

2010-01-01

Over the next 10 years, we anticipate that personal, portable, wirelessly networked technologies will become ubiquitous in the lives of learners--indeed, in many countries, this is already a reality. We see that ready-to-hand access creates the potential for a new phase in the evolution of technology-enhanced learning, characterised by "seamless…

What Have We Learnt about Mobile LifeLong Learning (mLLL)?

ERIC Educational Resources Information Center

Seta, Luciano; Kukulska-Hulme, Agnes; Arrigo, Marco

2014-01-01

Mobile technologies are becoming ubiquitous in education, yet the wider implications of this phenomenon are not well understood. The paper discusses how mobile lifelong learning (mLLL) may be defined, and the challenges of forging a suitable definition in an ever-shifting technological and socio-economic landscape. mLLL appears as a ubiquitous…

VARK Learning Preferences and Mobile Anatomy Software Application Use in Pre-Clinical Chiropractic Students

ERIC Educational Resources Information Center

Meyer, Amanda J.; Stomski, Norman J.; Innes, Stanley I.; Armson, Anthony J.

2016-01-01

Ubiquitous smartphone ownership and reduced face-to-face teaching time may lead to students making greater use of mobile technologies in their learning. This is the first study to report on the prevalence of mobile gross anatomy software applications (apps) usage in pre-clinical chiropractic students and to ascertain if a relationship exists…

Responsive Classroom?: A Critique of a Social Emotional Learning Program

ERIC Educational Resources Information Center

Stearns, Clio

2016-01-01

This paper looks critically at the Responsive Classroom (RC) program, a social/emotional learning program used ubiquitously in elementary schools for teacher and student training, in the US as well as in Australia, the UK, and other parts of Western Europe. The paper examines empirical studies on RC's efficacy and outcomes, many of which were…

The Effects of Interspersal and Reinforcement on Math Fact Accuracy and Learning Rate

ERIC Educational Resources Information Center

Rumberger, Jessica L.

2013-01-01

Mathematics skill acquisition is a crucial component of education and ongoing research is needed to determine quality instructional techniques. A ubiquitous instructional question is how to manage time. This study investigated several flashcard presentation methods to determine the one that would provide the most learning in a set amount of time.…

Designing a Self-Contained Group Area Network for Ubiquitous Learning

ERIC Educational Resources Information Center

Chen, Nian-Shing; Kinshuk; Wei, Chun-Wang; Yang, Stephen J. H.

2008-01-01

A number of studies have evidenced that handheld devices are appropriate tools to facilitate face-to-face collaborative learning effectively because of the possibility of ample social interactions. Group Area Network, or GroupNet, proposed in this paper, uses handheld devices to fill the gap between Local Area Network and Body Area Network.…

Impactful Student Learning Outcomes of One-to-One Student Laptop Programs in Low Socioeconomic Schools

ERIC Educational Resources Information Center

Harris, Matthew Joseph

2010-01-01

At present, a majority of one-to-one student laptop programs exist in schools that serve affluent communities, which denies low socioeconomic students the learning benefits of ubiquitous access to technology. Using a "Studying Up-Studying Down" paradigm, this multi-site case study collected mixed method data from program participants at five…

Circulating Laptops: Lessons Learned in an Academic Library

ERIC Educational Resources Information Center

Sharpe, Paul A.

2009-01-01

Laptops have become ubiquitous in academic libraries, as has the practice of circulating laptops for student use. Several studies have analyzed the how-to of loaning laptops, and a number of surveys have focused on how they are being used. However, little has been written of the practical lessons learned; the trial and error of those on the…

E-Learning and Flipped Instruction Integration in Business Education: A Proposed Pedagogical Model

ERIC Educational Resources Information Center

King, Chula; Piotrowski, Chris

2015-01-01

While Blended pedagogical approaches are a ubiquitous feature in higher education, the Flipped class is a rather recent instructional format in undergraduate-level instruction. The Flipped paradigm blends together many of the benefits of E-Learning courses, with many of the benefits of face-to-face instruction. At the same time, the disadvantages…

Writing and Publishing in a Blended Learning Environment to Develop Students' Scholarly Digital Ethos

ERIC Educational Resources Information Center

Fogleman, Jay; Niedbala, Mona Anne; Bedell, Francesca

2013-01-01

How do educators leverage students' fluency with ubiquitous information and communication sources to foster a scholarly digital ethos? This article describes a blended learning environment designed to engage first-year students in 21st-century emerging forms of scholarship and publication. The authors describe an effort to reverse the millennials'…

The Climate-G Portal: a Grid Enabled Scientifc Gateway for Climate Change

NASA Astrophysics Data System (ADS)

Fiore, Sandro; Negro, Alessandro; Aloisio, Giovanni

2010-05-01

Grid portals are web gateways aiming at concealing the underlying infrastructure through a pervasive, transparent, user-friendly, ubiquitous and seamless access to heterogeneous and geographical spread resources (i.e. storage, computational facilities, services, sensors, network, databases). Definitively they provide an enhanced problem-solving environment able to deal with modern, large scale scientific and engineering problems. Scientific gateways are able to introduce a revolution in the way scientists and researchers organize and carry out their activities. Access to distributed resources, complex workflow capabilities, and community-oriented functionalities are just some of the features that can be provided by such a web-based environment. In the context of the EGEE NA4 Earth Science Cluster, Climate-G is a distributed testbed focusing on climate change research topics. The Euro-Mediterranean Center for Climate Change (CMCC) is actively participating in the testbed providing the scientific gateway (Climate-G Portal) to access to the entire infrastructure. The Climate-G Portal has to face important and critical challenges as well as has to satisfy and address key requirements. In the following, the most relevant ones are presented and discussed. Transparency: the portal has to provide a transparent access to the underlying infrastructure preventing users from dealing with low level details and the complexity of a distributed grid environment. Security: users must be authenticated and authorized on the portal to access and exploit portal functionalities. A wide set of roles is needed to clearly assign the proper one to each user. The access to the computational grid must be completely secured, since the target infrastructure to run jobs is a production grid environment. A security infrastructure (based on X509v3 digital certificates) is strongly needed. Pervasivity and ubiquity: the access to the system must be pervasive and ubiquitous. This is easily true due to the nature of the needed web approach. Usability and simplicity: the portal has to provide simple, high level and user friendly interfaces to ease the access and exploitation of the entire system. Coexistence of general purpose and domain oriented services: along with general purpose services (file transfer, job submission, etc.), the portal has to provide domain based services and functionalities. Subsetting of data, visualization of 2D maps around a virtual globe, delivery of maps through OGC compliant interfaces (i.e. Web Map Service - WMS) are just some examples. Since april 2009, about 70 users (85% coming from the climate change community) got access to the portal. A key challenge of this work is the idea to provide users with an integrated working environment, that is a place where scientists can find huge amount of data, complete metadata support, a wide set of data access services, data visualization and analysis tools, easy access to the underlying grid infrastructure and advanced monitoring interfaces.

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

Deka, Deepjyoti; Backhaus, Scott N.; Chertkov, Michael

Traditionally power distribution networks are either not observable or only partially observable. This complicates development and implementation of new smart grid technologies, such as those related to demand response, outage detection and management, and improved load-monitoring. In this two part paper, inspired by proliferation of the metering technology, we discuss estimation problems in structurally loopy but operationally radial distribution grids from measurements, e.g. voltage data, which are either already available or can be made available with a relatively minor investment. In Part I, the objective is to learn the operational layout of the grid. Part II of this paper presentsmore » algorithms that estimate load statistics or line parameters in addition to learning the grid structure. Further, Part II discusses the problem of structure estimation for systems with incomplete measurement sets. Our newly suggested algorithms apply to a wide range of realistic scenarios. The algorithms are also computationally efficient – polynomial in time– which is proven theoretically and illustrated computationally on a number of test cases. The technique developed can be applied to detect line failures in real time as well as to understand the scope of possible adversarial attacks on the grid.« less

A Five-Stage Prediction-Observation-Explanation Inquiry-Based Learning Model to Improve Students' Learning Performance in Science Courses

ERIC Educational Resources Information Center

Hsiao, Hsien-Sheng; Chen, Jyun-Chen; Hong, Jon-Chao; Chen, Po-Hsi; Lu, Chow-Chin; Chen, Sherry Y.

2017-01-01

A five-stage prediction-observation-explanation inquiry-based learning (FPOEIL) model was developed to improve students' scientific learning performance. In order to intensify the science learning effect, the repertory grid technology-assisted learning (RGTL) approach and the collaborative learning (CL) approach were utilized. A quasi-experimental…

SoilGrids250m: Global gridded soil information based on machine learning

PubMed Central

Mendes de Jesus, Jorge; Heuvelink, Gerard B. M.; Ruiperez Gonzalez, Maria; Kilibarda, Milan; Blagotić, Aleksandar; Shangguan, Wei; Wright, Marvin N.; Geng, Xiaoyuan; Bauer-Marschallinger, Bernhard; Guevara, Mario Antonio; Vargas, Rodrigo; MacMillan, Robert A.; Batjes, Niels H.; Leenaars, Johan G. B.; Ribeiro, Eloi; Wheeler, Ichsani; Mantel, Stephan; Kempen, Bas

2017-01-01

This paper describes the technical development and accuracy assessment of the most recent and improved version of the SoilGrids system at 250m resolution (June 2016 update). SoilGrids provides global predictions for standard numeric soil properties (organic carbon, bulk density, Cation Exchange Capacity (CEC), pH, soil texture fractions and coarse fragments) at seven standard depths (0, 5, 15, 30, 60, 100 and 200 cm), in addition to predictions of depth to bedrock and distribution of soil classes based on the World Reference Base (WRB) and USDA classification systems (ca. 280 raster layers in total). Predictions were based on ca. 150,000 soil profiles used for training and a stack of 158 remote sensing-based soil covariates (primarily derived from MODIS land products, SRTM DEM derivatives, climatic images and global landform and lithology maps), which were used to fit an ensemble of machine learning methods—random forest and gradient boosting and/or multinomial logistic regression—as implemented in the R packages ranger, xgboost, nnet and caret. The results of 10–fold cross-validation show that the ensemble models explain between 56% (coarse fragments) and 83% (pH) of variation with an overall average of 61%. Improvements in the relative accuracy considering the amount of variation explained, in comparison to the previous version of SoilGrids at 1 km spatial resolution, range from 60 to 230%. Improvements can be attributed to: (1) the use of machine learning instead of linear regression, (2) to considerable investments in preparing finer resolution covariate layers and (3) to insertion of additional soil profiles. Further development of SoilGrids could include refinement of methods to incorporate input uncertainties and derivation of posterior probability distributions (per pixel), and further automation of spatial modeling so that soil maps can be generated for potentially hundreds of soil variables. Another area of future research is the development of methods for multiscale merging of SoilGrids predictions with local and/or national gridded soil products (e.g. up to 50 m spatial resolution) so that increasingly more accurate, complete and consistent global soil information can be produced. SoilGrids are available under the Open Data Base License. PMID:28207752

SoilGrids250m: Global gridded soil information based on machine learning.

PubMed

Hengl, Tomislav; Mendes de Jesus, Jorge; Heuvelink, Gerard B M; Ruiperez Gonzalez, Maria; Kilibarda, Milan; Blagotić, Aleksandar; Shangguan, Wei; Wright, Marvin N; Geng, Xiaoyuan; Bauer-Marschallinger, Bernhard; Guevara, Mario Antonio; Vargas, Rodrigo; MacMillan, Robert A; Batjes, Niels H; Leenaars, Johan G B; Ribeiro, Eloi; Wheeler, Ichsani; Mantel, Stephan; Kempen, Bas

2017-01-01

This paper describes the technical development and accuracy assessment of the most recent and improved version of the SoilGrids system at 250m resolution (June 2016 update). SoilGrids provides global predictions for standard numeric soil properties (organic carbon, bulk density, Cation Exchange Capacity (CEC), pH, soil texture fractions and coarse fragments) at seven standard depths (0, 5, 15, 30, 60, 100 and 200 cm), in addition to predictions of depth to bedrock and distribution of soil classes based on the World Reference Base (WRB) and USDA classification systems (ca. 280 raster layers in total). Predictions were based on ca. 150,000 soil profiles used for training and a stack of 158 remote sensing-based soil covariates (primarily derived from MODIS land products, SRTM DEM derivatives, climatic images and global landform and lithology maps), which were used to fit an ensemble of machine learning methods-random forest and gradient boosting and/or multinomial logistic regression-as implemented in the R packages ranger, xgboost, nnet and caret. The results of 10-fold cross-validation show that the ensemble models explain between 56% (coarse fragments) and 83% (pH) of variation with an overall average of 61%. Improvements in the relative accuracy considering the amount of variation explained, in comparison to the previous version of SoilGrids at 1 km spatial resolution, range from 60 to 230%. Improvements can be attributed to: (1) the use of machine learning instead of linear regression, (2) to considerable investments in preparing finer resolution covariate layers and (3) to insertion of additional soil profiles. Further development of SoilGrids could include refinement of methods to incorporate input uncertainties and derivation of posterior probability distributions (per pixel), and further automation of spatial modeling so that soil maps can be generated for potentially hundreds of soil variables. Another area of future research is the development of methods for multiscale merging of SoilGrids predictions with local and/or national gridded soil products (e.g. up to 50 m spatial resolution) so that increasingly more accurate, complete and consistent global soil information can be produced. SoilGrids are available under the Open Data Base License.

A single-cell spiking model for the origin of grid-cell patterns

PubMed Central

Kempter, Richard

2017-01-01

Spatial cognition in mammals is thought to rely on the activity of grid cells in the entorhinal cortex, yet the fundamental principles underlying the origin of grid-cell firing are still debated. Grid-like patterns could emerge via Hebbian learning and neuronal adaptation, but current computational models remained too abstract to allow direct confrontation with experimental data. Here, we propose a single-cell spiking model that generates grid firing fields via spike-rate adaptation and spike-timing dependent plasticity. Through rigorous mathematical analysis applicable in the linear limit, we quantitatively predict the requirements for grid-pattern formation, and we establish a direct link to classical pattern-forming systems of the Turing type. Our study lays the groundwork for biophysically-realistic models of grid-cell activity. PMID:28968386

Development of an information platform for new grid users in the biomedical field.

PubMed

Skrowny, Daniela; Dickmann, Frank; Löhnhardt, Benjamin; Knoch, Tobias A; Sax, Ulrich

2010-01-01

Bringing new users into grids is a top priority for all grid initiatives and one of the most challenging tasks. Especially in life sciences it is essential to have a certain amount of users to establish a critical mass for a sustainable grid and give feedback back to the technological middleware layer. Based on the presumable lack of grid IT knowledge it is notably more arduous to satisfy user demands although here the requirements are especially demanding. Therefore, the development of an information- and learning platform could support the efforts of grid experts to guide new users. By providing a platform about grid technology and their feasibilities for users of the community of biomedicine potential, users could be supported using the high potential of their discipline.

Grid scale drives the scale and long-term stability of place maps

PubMed Central

Mallory, Caitlin S; Hardcastle, Kiah; Bant, Jason S; Giocomo, Lisa M

2018-01-01

Medial entorhinal cortex (MEC) grid cells fire at regular spatial intervals and project to the hippocampus, where place cells are active in spatially restricted locations. One feature of the grid population is the increase in grid spatial scale along the dorsal-ventral MEC axis. However, the difficulty in perturbing grid scale without impacting the properties of other functionally-defined MEC cell types has obscured how grid scale influences hippocampal coding and spatial memory. Here, we use a targeted viral approach to knock out HCN1 channels selectively in MEC, causing grid scale to expand while leaving other MEC spatial and velocity signals intact. Grid scale expansion resulted in place scale expansion in fields located far from environmental boundaries, reduced long-term place field stability and impaired spatial learning. These observations, combined with simulations of a grid-to-place cell model and position decoding of place cells, illuminate how grid scale impacts place coding and spatial memory. PMID:29335607

Getting Students to Learn about Information Systems Project Management: An Experiment in Student-centred Learning.

ERIC Educational Resources Information Center

Allan, George

1999-01-01

A student-centered learning model for a course on information systems project management consisted of individual study and group discussion with facilitator guidance. Data from session records, repertory grids, and a learning network diagram showed that interactive learning was more effective and students took responsibility, although some…

E-Learning in Engineering Education: A Theoretical and Empirical Study of the Algerian Higher Education Institution

ERIC Educational Resources Information Center

Benchicou, Soraya; Aichouni, Mohamed; Nehari, Driss

2010-01-01

Technology-mediated education or e-learning is growing globally both in scale and delivery capacity due to the large diffusion of the ubiquitous information and communication technologies (ICT) in general and the web technologies in particular. This statement has not yet been fully supported by research, especially in developing countries such as…

Mobile Learning Bridging the Gap in Agricultural Extension Service Delivery: Experiences from Sokoine University of Agriculture, Tanzania

ERIC Educational Resources Information Center

Sanga, Camilius; Mlozi, Malongo; Haug, Ruth; Tumbo, Siza

2016-01-01

The ubiquitous nature of mobile phones offers a noble environment where farmers can learn informally anywhere, anytime and at any location. This is an innovative way to address some of the weakness of conventional agricultural extension service. Few empirical studies have reported on the development of mobile phone application to support blended…

You Can Lead a Horse to Water but You Cannot Make Him Learn: Smartphone Use in Higher Education

ERIC Educational Resources Information Center

Tossell, Chad C.; Kortum, Philip; Shepard, Clayton; Rahmati, Ahmad; Zhong, Lin

2015-01-01

Smartphone technology is penetrating world markets and becoming ubiquitous in most college settings. This study takes a naturalistic approach to explore the use of these devices to support student learning. Students that had never used a smartphone were recruited to participate and reported on their expectations of the value of smartphones to…

Examining the Effects of MOOCs Learners' Social Searching Results on Learning Behaviors and Learning Outcomes

ERIC Educational Resources Information Center

Su, Yu-Sheng; Huang, Chester S. J.

2016-01-01

MOOCs social media has appealed to most instructors and learners like strong magnets by using ubiquitous handheld devices to share and discuss films, pictures, and messages. Through the social platform, users can share, track, and search for the information of their specific interests. Thus, they can make interactive discussions as well as social…

Machine Learning Methods for Attack Detection in the Smart Grid.

PubMed

Ozay, Mete; Esnaola, Inaki; Yarman Vural, Fatos Tunay; Kulkarni, Sanjeev R; Poor, H Vincent

2016-08-01

Attack detection problems in the smart grid are posed as statistical learning problems for different attack scenarios in which the measurements are observed in batch or online settings. In this approach, machine learning algorithms are used to classify measurements as being either secure or attacked. An attack detection framework is provided to exploit any available prior knowledge about the system and surmount constraints arising from the sparse structure of the problem in the proposed approach. Well-known batch and online learning algorithms (supervised and semisupervised) are employed with decision- and feature-level fusion to model the attack detection problem. The relationships between statistical and geometric properties of attack vectors employed in the attack scenarios and learning algorithms are analyzed to detect unobservable attacks using statistical learning methods. The proposed algorithms are examined on various IEEE test systems. Experimental analyses show that machine learning algorithms can detect attacks with performances higher than attack detection algorithms that employ state vector estimation methods in the proposed attack detection framework.

Action research to improve methods of delivery and feedback in an Access Grid Room environment

NASA Astrophysics Data System (ADS)

McArthur, Lynne C.; Klass, Lara; Eberhard, Andrew; Stacey, Andrew

2011-12-01

This article describes a qualitative study which was undertaken to improve the delivery methods and feedback opportunity in honours mathematics lectures which are delivered through Access Grid Rooms. Access Grid Rooms are facilities that provide two-way video and audio interactivity across multiple sites, with the inclusion of smart boards. The principal aim was to improve the student learning experience, given the new environment. The specific aspects of the course delivery that the study focused on included presentation of materials and provision of opportunities for interaction between the students and between students and lecturers. The practical considerations in the delivery of distance learning are well documented in the literature, and similar problems arise in the Access Grid Room environment; in particular, those of limited access to face-to-face interaction and the reduction in peer support. The nature of the Access Grid Room classes implies that students studying the same course can be physically situated in different cities, and possibly in different countries. When studying, it is important that students have opportunity to discuss new concepts with others; particularly their peers and their lecturer. The Access Grid Room environment also presents new challenges for the lecturer, who must learn new skills in the delivery of materials. The unique nature of Access Grid Room technology offers unprecedented opportunity for effective course delivery and positive outcomes for students, and was developed in response to a need to be able to interact with complex data, other students and the instructor, in real-time, at a distance and from multiple sites. This is a relatively new technology and as yet there has been little or no studies specifically addressing the use and misuse of the technology. The study found that the correct placement of cameras and the use of printed material and smart boards were all crucial to the student experience. In addition, the inclusion of special tutorial type sessions were necessary to provide opportunities to students for one-on-one discussion with both lecturer and other students. This study contributes to the broader understanding of distance education in general and future Access Grid Room course delivery in particular.

Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery.

PubMed

Chew, Robert F; Amer, Safaa; Jones, Kasey; Unangst, Jennifer; Cajka, James; Allpress, Justine; Bruhn, Mark

2018-05-09

Conducting surveys in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative sample. Geosampling is a probability-based, gridded population sampling method that addresses some of these issues by using geographic information system (GIS) tools to create logistically manageable area units for sampling. GIS grid cells are overlaid to partition a country's existing administrative boundaries into area units that vary in size from 50 m × 50 m to 150 m × 150 m. To avoid sending interviewers to unoccupied areas, researchers manually classify grid cells as "residential" or "nonresidential" through visual inspection of aerial images. "Nonresidential" units are then excluded from sampling and data collection. This process of manually classifying sampling units has drawbacks since it is labor intensive, prone to human error, and creates the need for simplifying assumptions during calculation of design-based sampling weights. In this paper, we discuss the development of a deep learning classification model to predict whether aerial images are residential or nonresidential, thus reducing manual labor and eliminating the need for simplifying assumptions. On our test sets, the model performs comparable to a human-level baseline in both Nigeria (94.5% accuracy) and Guatemala (96.4% accuracy), and outperforms baseline machine learning models trained on crowdsourced or remote-sensed geospatial features. Additionally, our findings suggest that this approach can work well in new areas with relatively modest amounts of training data. Gridded population sampling methods like geosampling are becoming increasingly popular in countries with outdated or inaccurate census data because of their timeliness, flexibility, and cost. Using deep learning models directly on satellite images, we provide a novel method for sample frame construction that identifies residential gridded aerial units. In cases where manual classification of satellite images is used to (1) correct for errors in gridded population data sets or (2) classify grids where population estimates are unavailable, this methodology can help reduce annotation burden with comparable quality to human analysts.

Models to support students’ understanding of measuring area of circles

NASA Astrophysics Data System (ADS)

Rejeki, S.; Putri, R. I. I.

2018-01-01

Many studies showed that enormous students got confused about the concepts of measuring area of circles. The main reason is because mathematics classroom practices emphasized on memorizing formulas rather than understanding concepts. Therefore, in this study, a set of learning activities were designed as an innovation in learning area measurement of circles. The activities involved two models namely grid paper and reshaping which are respectively as a means and a strategy to support students’ learning of area measurement of circles. Design research was used as the research approach to achieve the aim. Thirty-eight of 8th graders in Indonesia were involved in this study. In this study, together with the contextual problems, the grid paper and reshaping sectors, which used as the models in this learning, helped the students to gradually develop their understanding of the area measurement of circles. The grid papers plays important role in comparing and estimating areas. Whereas, the reshaping sectors might support students’ understanding of the circumference and the area measurement of circles. Those two models could be the tool for promoting the informal theory of area measurement. Besides, the whole activities gave important role on distinguishing the area and perimeter of circles.

Facial recognition using simulated prosthetic pixelized vision.

PubMed

Thompson, Robert W; Barnett, G David; Humayun, Mark S; Dagnelie, Gislin

2003-11-01

To evaluate a model of simulated pixelized prosthetic vision using noncontiguous circular phosphenes, to test the effects of phosphene and grid parameters on facial recognition. A video headset was used to view a reference set of four faces, followed by a partially averted image of one of those faces viewed through a square pixelizing grid that contained 10x10 to 32x32 dots separated by gaps. The grid size, dot size, gap width, dot dropout rate, and gray-scale resolution were varied separately about a standard test condition, for a total of 16 conditions. All tests were first performed at 99% contrast and then repeated at 12.5% contrast. Discrimination speed and performance were influenced by all stimulus parameters. The subjects achieved highly significant facial recognition accuracy for all high-contrast tests except for grids with 70% random dot dropout and two gray levels. In low-contrast tests, significant facial recognition accuracy was achieved for all but the most adverse grid parameters: total grid area less than 17% of the target image, 70% dropout, four or fewer gray levels, and a gap of 40.5 arcmin. For difficult test conditions, a pronounced learning effect was noticed during high-contrast trials, and a more subtle practice effect on timing was evident during subsequent low-contrast trials. These findings suggest that reliable face recognition with crude pixelized grids can be learned and may be possible, even with a crude visual prosthesis.

Autonomous Energy Grids | Grid Modernization | NREL

Science.gov Websites

control themselves using advanced machine learning and simulation to create resilient, reliable, and affordable optimized energy systems. Current frameworks to monitor, control, and optimize large-scale energy of optimization theory, control theory, big data analytics, and complex system theory and modeling to

Polyfluorinated Compounds: Past, Present, and Future

EPA Science Inventory

Interest and concern about polyfluorinated compounds (PFCs), such as perfluorooctane sulfonate (PFOS), erfluorooctanoic acid (PFOA), and an increasing number of other related compounds is growing as more is learned about these ubiquitous anthropogenic substances. Many of these co...

CILT2000: Views of CILT2000.

ERIC Educational Resources Information Center

Collins, Allan

2002-01-01

Features comments on the Center for Innovative Learning Technologies (CILT) conference held in 2000 and addresses the five thematic areas around which the conference was organized, namely assessment, professional development, visualization and modeling, ubiquitous computing, and equity. (Author/YDS)

A Mixed-Method Study of Mobile Devices and Student Self-Directed Learning and Achievement during a Middle School STEM Activity

ERIC Educational Resources Information Center

Bartholomew, Scott

2016-01-01

With the increasingly ubiquitous nature of mobile devices among K-12 students, many argue for and against the inclusion of these devices in K-12 classrooms. Arguments in favor cite instant access to information and collaboration with others as positive affordances made possible through mobile devices. Self-directed learning, a process where…

Tracking Students' Eye-Movements When Reading Learning Objects on Mobile Phones: A Discourse Analysis of Luganda Language Teacher-Trainees' Reflective Observations

ERIC Educational Resources Information Center

Kabugo, David; Muyinda, Paul B.; Masagazi, Fred. M.; Mugagga, Anthony M.; Mulumba, Mathias B.

2016-01-01

Although eye-tracking technologies such as Tobii-T120/TX and Eye-Tribe are steadily becoming ubiquitous, and while their appropriation in education can aid teachers to collect robust information on how students move their eyes when reading and engaging with different learning objects, many teachers of Luganda language are yet to gain experiences…

Game-Based Learning Theory

NASA Technical Reports Server (NTRS)

Laughlin, Daniel

2008-01-01

Persistent Immersive Synthetic Environments (PISE) are not just connection points, they are meeting places. They are the new public squares, village centers, malt shops, malls and pubs all rolled into one. They come with a sense of 'thereness" that engages the mind like a real place does. Learning starts as a real code. The code defines "objects." The objects exist in computer space, known as the "grid." The objects and space combine to create a "place." A "world" is created, Before long, the grid and code becomes obscure, and the "world maintains focus.

A pilot study on conducting mobile learning activities for clinical nursing courses based on the repertory grid approach.

PubMed

Wu, Po-Han; Hwang, Gwo-Jen; Tsai, Chin-Chung; Chen, Ya-Chun; Huang, Yueh-Min

2011-11-01

In clinical nursing courses, students are trained to identify the status of the target patients. The mastery of such ability and skills is very important since patients frequently need to be cared for immediately. In this pilot study, a repertory grid-oriented clinical mobile learning system is developed for a nursing training program. With the assistance of the mobile learning system, the nursing school students are able to learn in an authentic learning scenario, in which they can physically face the target patients, with the personal guidance and supplementary materials from the learning system to support them. To show the effectiveness of this innovative approach, an experiment has been conducted on the "respiratory system" unit of a nursing course. The experimental results show that the innovative approach is helpful to students in improving their learning achievements. Moreover, from the questionnaire surveys, it was found that most students showed favorable attitudes toward the usage of the mobile learning system and their participation in the training program. Copyright © 2010 Elsevier Ltd. All rights reserved.

Observations on sustainable and ubiquitous healthcare informatics from Florence Nightingale.

PubMed

Betts, Helen J; Wright, Graham

2009-01-01

As nurses around the world prepare to celebrate the centenary of the death of Florence Nightingale in 2010 this paper reviews her work on using information, especially statistics, to analyze and manage patient care and links that to current developments in informatics. It then examines assistive technologies and how they may impact on nursing practice in the future and links these developments to the writings of Florence Nightingale. The paper concludes by suggesting that in progressing towards sustainable and ubiquitous healthcare informatics we need to study history in order to learn from the lessons of Florence Nightingale and other healthcare pioneers.

MyGfL: A Lifelong Learning Platform for Malaysian Society

ERIC Educational Resources Information Center

Arabee Abdul Salam, Zailan; Mansur, Azmi

2006-01-01

MyGfL which stands for Malaysian Grid for Learning is a One-Stop-Center for quality assured online learning content, tools and services with the aim to promote and support the lifelong learning agenda in Malaysia. It is a platform that enables anyone to learn, unlearn and relearn from anywhere at anytime through any web browser so as to accelerate…

The Potential Role of Grid-Like Software in Bedside Chest Radiography in Improving Image Quality and Dose Reduction: An Observer Preference Study.

PubMed

Ahn, Su Yeon; Chae, Kum Ju; Goo, Jin Mo

2018-01-01

To compare the observer preference of image quality and radiation dose between non-grid, grid-like, and grid images. Each of the 38 patients underwent bedside chest radiography with and without a grid. A grid-like image was generated from a non-grid image using SimGrid software (Samsung Electronics Co. Ltd.) employing deep-learning-based scatter correction technology. Two readers recorded the preference for 10 anatomic landmarks and the overall appearance on a five-point scale for a pair of non-grid and grid-like images, and a pair of grid-like and grid images, respectively, which were randomly presented. The dose area product (DAP) was also recorded. Wilcoxon's rank sum test was used to assess the significance of preference. Both readers preferred grid-like images to non-grid images significantly ( p < 0.001); with a significant difference in terms of the preference for grid images to grid-like images ( p = 0.317, 0.034, respectively). In terms of anatomic landmarks, both readers preferred grid-like images to non-grid images ( p < 0.05). No significant differences existed between grid-like and grid images except for the preference for grid images in proximal airways by two readers, and in retrocardiac lung and thoracic spine by one reader. The median DAP were 1.48 (range, 1.37-2.17) dGy * cm 2 in grid images and 1.22 (range, 1.11-1.78) dGy * cm 2 in grid-like images with a significant difference ( p < 0.001). The SimGrid software significantly improved the image quality of non-grid images to a level comparable to that of grid images with a relatively lower level of radiation exposure.

Integration of advanced technologies to enhance problem-based learning over distance: Project TOUCH.

PubMed

Jacobs, Joshua; Caudell, Thomas; Wilks, David; Keep, Marcus F; Mitchell, Steven; Buchanan, Holly; Saland, Linda; Rosenheimer, Julie; Lozanoff, Beth K; Lozanoff, Scott; Saiki, Stanley; Alverson, Dale

2003-01-01

Distance education delivery has increased dramatically in recent years as a result of the rapid advancement of communication technology. The National Computational Science Alliance's Access Grid represents a significant advancement in communication technology with potential for distance medical education. The purpose of this study is to provide an overview of the TOUCH project (Telehealth Outreach for Unified Community Health; http://hsc.unm.edu/touch) with special emphasis on the process of problem-based learning case development for distribution over the Access Grid. The objective of the TOUCH project is to use emerging Internet-based technology to overcome geographic barriers for delivery of tutorial sessions to medical students pursuing rotations at remote sites. The TOUCH project also is aimed at developing a patient simulation engine and an immersive virtual reality environment to achieve a realistic health care scenario enhancing the learning experience. A traumatic head injury case is developed and distributed over the Access Grid as a demonstration of the TOUCH system. Project TOUCH serves as an example of a computer-based learning system for developing and implementing problem-based learning cases within the medical curriculum, but this system should be easily applied to other educational environments and disciplines involving functional and clinical anatomy. Future phases will explore PC versions of the TOUCH cases for increased distribution. Copyright 2003 Wiley-Liss, Inc.

Machine learning for the New York City power grid.

PubMed

Rudin, Cynthia; Waltz, David; Anderson, Roger N; Boulanger, Albert; Salleb-Aouissi, Ansaf; Chow, Maggie; Dutta, Haimonti; Gross, Philip N; Huang, Bert; Ierome, Steve; Isaac, Delfina F; Kressner, Arthur; Passonneau, Rebecca J; Radeva, Axinia; Wu, Leon

2012-02-01

Power companies can benefit from the use of knowledge discovery methods and statistical machine learning for preventive maintenance. We introduce a general process for transforming historical electrical grid data into models that aim to predict the risk of failures for components and systems. These models can be used directly by power companies to assist with prioritization of maintenance and repair work. Specialized versions of this process are used to produce 1) feeder failure rankings, 2) cable, joint, terminator, and transformer rankings, 3) feeder Mean Time Between Failure (MTBF) estimates, and 4) manhole events vulnerability rankings. The process in its most general form can handle diverse, noisy, sources that are historical (static), semi-real-time, or realtime, incorporates state-of-the-art machine learning algorithms for prioritization (supervised ranking or MTBF), and includes an evaluation of results via cross-validation and blind test. Above and beyond the ranked lists and MTBF estimates are business management interfaces that allow the prediction capability to be integrated directly into corporate planning and decision support; such interfaces rely on several important properties of our general modeling approach: that machine learning features are meaningful to domain experts, that the processing of data is transparent, and that prediction results are accurate enough to support sound decision making. We discuss the challenges in working with historical electrical grid data that were not designed for predictive purposes. The “rawness” of these data contrasts with the accuracy of the statistical models that can be obtained from the process; these models are sufficiently accurate to assist in maintaining New York City’s electrical grid.

The Perception of Teachers toward the Use of Mobile Technology as a Tool to Engage Students in Learning

ERIC Educational Resources Information Center

Goad, Kathryn Dawn

2012-01-01

The purpose of this study was to gauge the perception of teachers on the use of mobile technology, specifically cell phones, as an instructional tool to engage students in learning. Cell phones are the most ubiquitous piece of technology in the world. Their multiple functions can put the most up-to-date information at the fingertips of the user.…

A Collaborative Game-Based Learning Approach to Improving Students' Learning Performance in Science Courses

ERIC Educational Resources Information Center

Sung, Han-Yu; Hwang, Gwo-Jen

2013-01-01

In this study, a collaborative game-based learning environment is developed by integrating a grid-based Mindtool to facilitate the students to share and organize what they have learned during the game-playing process. To evaluate the effectiveness of the proposed approach, an experiment has been conducted in an elementary school natural science…

"Think Like a Lawyer" Using a Legal Reasoning Grid and Criterion-Referenced Assessment Rubric on IRAC (Issue, Rule, Application, Conclusion)

ERIC Educational Resources Information Center

Burton, Kelley

2017-01-01

The Australian Learning and Teaching Council's Bachelor of Laws Learning and Teaching Academic Standards Statement identified "thinking skills" as one of the six threshold learning outcomes for a Bachelor of Laws Program, which reinforced the significance of learning, teaching and assessing "thinking skills" in law schools…

Expandable Grids: A User Interface Visualization Technique and a Policy Semantics to Support Fast, Accurate Security and Privacy Policy Authoring

DTIC Science & Technology

2008-07-01

dropout rate amongst Grid participants suggests participants found the Grid more frustrating to use, and subjective satisfaction scores show... learned more than N years of graduate school could ever teach me, and my sister, who was always there for me when my Black Friday letters came. Abstract...greatly affect whether policies match their authors’ intentions ; a bad user interface can lead to policies with many errors, while a good user interface

Amplifying Student Learning through Volunteering

ERIC Educational Resources Information Center

McFadden, Amanda; Smeaton, Kathleen

2017-01-01

Student volunteer experiences are ubiquitous within higher education contexts. Despite this, there is further scope for understanding the qualitatively different ways students experience volunteering. To achieve this an explicit focus on understanding volunteer experiences from the students' perspective and the relationship these experiences have…

Transfer Learning beyond Text Classification

NASA Astrophysics Data System (ADS)

Yang, Qiang

Transfer learning is a new machine learning and data mining framework that allows the training and test data to come from different distributions or feature spaces. We can find many novel applications of machine learning and data mining where transfer learning is necessary. While much has been done in transfer learning in text classification and reinforcement learning, there has been a lack of documented success stories of novel applications of transfer learning in other areas. In this invited article, I will argue that transfer learning is in fact quite ubiquitous in many real world applications. In this article, I will illustrate this point through an overview of a broad spectrum of applications of transfer learning that range from collaborative filtering to sensor based location estimation and logical action model learning for AI planning. I will also discuss some potential future directions of transfer learning.

GRID[subscript C] Renewable Energy Data Streaming into Classrooms

ERIC Educational Resources Information Center

DeLuca, V. William; Carpenter, Pam; Lari, Nasim

2010-01-01

For years, researchers have shown the value of using real-world data to enhance instruction in mathematics, science, and social studies. In an effort to help develop students' higher-order thinking skills in a data-rich learning environment, Green Research for Incorporating Data in the Classroom (GRID[subscript C]), a National Science…

A Treasure Hunt for Chemistry

ERIC Educational Resources Information Center

Bridgeman, Adam J.; Rutledge, Peter J.; Todd, Matthew H.; Connor, Ricky

2011-01-01

A new group educational activity based on a treasure hunt is described. Students are asked questions and the answers specify a grid on a map. A specified object in the grid location must be found and photographed, and the photograph submitted electronically (through the Learning Management System) for assessment. Once a series of objects in…

A Richer Understanding of Algebra

ERIC Educational Resources Information Center

Foy, Michelle

2008-01-01

Algebra is one of those hard-to-teach topics where pupils seem to struggle to see it as more than a set of rules to learn, but this author recently used the software "Grid Algebra" from ATM, which engaged her Year 7 pupils in exploring algebraic concepts for themselves. "Grid Algebra" allows pupils to experience number,…

Interoperability of GADU in using heterogeneous Grid resources for bioinformatics applications.

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

Sulakhe, D.; Rodriguez, A.; Wilde, M.

2008-03-01

Bioinformatics tools used for efficient and computationally intensive analysis of genetic sequences require large-scale computational resources to accommodate the growing data. Grid computational resources such as the Open Science Grid and TeraGrid have proved useful for scientific discovery. The genome analysis and database update system (GADU) is a high-throughput computational system developed to automate the steps involved in accessing the Grid resources for running bioinformatics applications. This paper describes the requirements for building an automated scalable system such as GADU that can run jobs on different Grids. The paper describes the resource-independent configuration of GADU using the Pegasus-based virtual datamore » system that makes high-throughput computational tools interoperable on heterogeneous Grid resources. The paper also highlights the features implemented to make GADU a gateway to computationally intensive bioinformatics applications on the Grid. The paper will not go into the details of problems involved or the lessons learned in using individual Grid resources as it has already been published in our paper on genome analysis research environment (GNARE) and will focus primarily on the architecture that makes GADU resource independent and interoperable across heterogeneous Grid resources.« less

Reduction of peak energy demand based on smart appliances energy consumption adjustment

NASA Astrophysics Data System (ADS)

Powroźnik, P.; Szulim, R.

2017-08-01

In the paper the concept of elastic model of energy management for smart grid and micro smart grid is presented. For the proposed model a method for reducing peak demand in micro smart grid has been defined. The idea of peak demand reduction in elastic model of energy management is to introduce a balance between demand and supply of current power for the given Micro Smart Grid in the given moment. The results of the simulations studies were presented. They were carried out on real household data available on UCI Machine Learning Repository. The results may have practical application in the smart grid networks, where there is a need for smart appliances energy consumption adjustment. The article presents a proposal to implement the elastic model of energy management as the cloud computing solution. This approach of peak demand reduction might have application particularly in a large smart grid.

Security-Oriented and Load-Balancing Wireless Data Routing Game in the Integration of Advanced Metering Infrastructure Network in Smart Grid

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

He, Fulin; Cao, Yang; Zhang, Jun Jason

Ensuring flexible and reliable data routing is indispensable for the integration of Advanced Metering Infrastructure (AMI) networks, we propose a secure-oriented and load-balancing wireless data routing scheme. A novel utility function is designed based on security routing scheme. Then, we model the interactive security-oriented routing strategy among meter data concentrators or smart grid meters as a mixed-strategy network formation game. Finally, such problem results in a stable probabilistic routing scheme with proposed distributed learning algorithm. One contributions is that we studied that different types of applications affect the routing selection strategy and the strategy tendency. Another contributions is that themore » chosen strategy of our mixed routing can adaptively to converge to a new mixed strategy Nash equilibrium (MSNE) during the learning process in the smart grid.« less

Tensor-guided fitting of subduction slab depths

USGS Publications Warehouse

Bazargani, Farhad; Hayes, Gavin P.

2013-01-01

Geophysical measurements are often acquired at scattered locations in space. Therefore, interpolating or fitting the sparsely sampled data as a uniform function of space (a procedure commonly known as gridding) is a ubiquitous problem in geophysics. Most gridding methods require a model of spatial correlation for data. This spatial correlation model can often be inferred from some sort of secondary information, which may also be sparsely sampled in space. In this paper, we present a new method to model the geometry of a subducting slab in which we use a data‐fitting approach to address the problem. Earthquakes and active‐source seismic surveys provide estimates of depths of subducting slabs but only at scattered locations. In addition to estimates of depths from earthquake locations, focal mechanisms of subduction zone earthquakes also provide estimates of the strikes of the subducting slab on which they occur. We use these spatially sparse strike samples and the Earth’s curved surface geometry to infer a model for spatial correlation that guides a blended neighbor interpolation of slab depths. We then modify the interpolation method to account for the uncertainties associated with the depth estimates.

Smart Grid Information Clearinghouse (SGIC)

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

Rahman, Saifur

Since the Energy Independence and Security Act of 2007 was enacted, there has been a large number of websites that discusses smart grid and relevant information, including those from government, academia, industry, private sector and regulatory. These websites collect information independently. Therefore, smart grid information was quite scattered and dispersed. The objective of this work was to develop, populate, manage and maintain the public Smart Grid Information Clearinghouse (SGIC) web portal. The information in the SGIC website is comprehensive that includes smart grid information, research & development, demonstration projects, technical standards, costs & benefit analyses, business cases, legislation, policy &more » regulation, and other information on lesson learned and best practices. The content in the SGIC website is logically grouped to allow easily browse, search and sort. In addition to providing the browse and search feature, the SGIC web portal also allow users to share their smart grid information with others though our online content submission platform. The Clearinghouse web portal, therefore, serves as the first stop shop for smart grid information that collects smart grid information in a non-bias, non-promotional manner and can provide a missing link from information sources to end users and better serve users’ needs. The web portal is available at www.sgiclearinghouse.org. This report summarizes the work performed during the course of the project (September 2009 – August 2014). Section 2.0 lists SGIC Advisory Committee and User Group members. Section 3.0 discusses SGIC information architecture and web-based database application functionalities. Section 4.0 summarizes SGIC features and functionalities, including its search, browse and sort capabilities, web portal social networking, online content submission platform and security measures implemented. Section 5.0 discusses SGIC web portal contents, including smart grid 101, smart grid projects, deployment experience (i.e., use cases, lessons learned, cost-benefit analyses and business cases), in-depth information (i.e., standards, technology, cyber security, legislation, education and training and demand response), as well as international information. Section 6.0 summarizes SGIC statistics from the launch of the portal on July 07, 2010 to August 31, 2014. Section 7.0 summarizes publicly available information as a result of this work.« less

Psycho-Pedagogy and Personalised Learning

ERIC Educational Resources Information Center

Burton, Diana

2007-01-01

Over the past decade international discussions of pedagogy have increasingly clustered around a few ubiquitous and popular ideas drawn ostensibly from psychological research. The internet has been a powerful force in disseminating and globalising pedagogically relevant research into such matters as metacognition, multiple forms of intelligence,…

Cell Phones for Science

ERIC Educational Resources Information Center

Lucking, Robert A.; Christmann, Edwin P.; Wighting, Mervyn J.

2010-01-01

Although in some schools cell phones have to be turned off or perhaps kept in lockers to avoid misuse, the authors hope to demonstrate in this article how they can be used under supervision to assist learning. This ubiquitous device can be a powerful classroom tool. (Contains 2 figures.)

Consumers as Learners/Learners as Consumers

ERIC Educational Resources Information Center

Rowsell, Jennifer

2011-01-01

Traditional pedagogy is premised on a belief that older generations teach younger generations how to learn. At this point in history, however, through their ubiquitous exposure to media, technology, and communication, younger generations understand contemporary forms of communication better and more tacitly than older generations. Yet schooling…

Media as social partners: the social nature of young children's learning from screen media.

PubMed

Richert, Rebekah A; Robb, Michael B; Smith, Erin I

2011-01-01

Television has become a nearly ubiquitous feature in children's cultural landscape. A review of the research into young children's learning from television indicates that the likelihood that children will learn from screen media is influenced by their developing social relationships with on-screen characters, as much as by their developing perception of the screen and their symbolic understanding and comprehension of information presented on screen. Considering the circumstances in which children under 6 years learn from screen media can inform teachers, parents, and researchers about the important nature of social interaction in early learning and development. The findings reviewed in this article suggest the social nature of learning, even learning from screen media. © 2011 The Authors. Child Development © 2011 Society for Research in Child Development, Inc.

21st Century Senior Leader Education: Ubiquitous Open Access Learning Environment

DTIC Science & Technology

2011-02-22

Failures: It‘s the content, stupid ‖22 because agencies focus on systems rather than substance and access to the content is critical. The access to Army...Resource Capabilities. 18 As an example to demonstrate how a civilian capability provides learning value to the PLE, the ― Google Alerts‖ ® web...technology pushed content to the author for review in the development of this paper. The technology consists of a user creating a Google account, logging

To What Extent Does Children's Spelling Improve as a Result of Learning Words with the Look, Say, Cover, Write, Check, Fix Strategy Compared with Phonological Spelling Strategies?

ERIC Educational Resources Information Center

Dymock, Susan; Nicholson, Tom

2017-01-01

The ubiquitous weekly spelling test assumes that words are best learned by memorisation and testing but is this the best way? This study compared two well-known approaches to spelling instruction, the rule based and visual memory approaches. A group of 55 seven-year-olds in two Year 3 classrooms was taught spelling in small groups for three…

Linear Look-Ahead in Conjunctive Cells: An Entorhinal Mechanism for Vector-Based Navigation

PubMed Central

Kubie, John L.; Fenton, André A.

2012-01-01

The crisp organization of the “firing bumps” of entorhinal grid cells and conjunctive cells leads to the notion that the entorhinal cortex may compute linear navigation routes. Specifically, we propose a process, termed “linear look-ahead,” by which a stationary animal could compute a series of locations in the direction it is facing. We speculate that this computation could be achieved through learned patterns of connection strengths among entorhinal neurons. This paper has three sections. First, we describe the minimal grid cell properties that will be built into our network. Specifically, the network relies on “rigid modules” of neurons, where all members have identical grid scale and orientation, but differ in spatial phase. Additionally, these neurons must be densely interconnected with synapses that are modifiable early in the animal’s life. Second, we investigate whether plasticity during short bouts of locomotion could induce patterns of connections amongst grid cells or conjunctive cells. Finally, we run a simulation to test whether the learned connection patterns can exhibit linear look-ahead. Our results are straightforward. A simulated 30-min walk produces weak strengthening of synapses between grid cells that do not support linear look-ahead. Similar training in a conjunctive cell module produces a small subset of very strong connections between cells. These strong pairs have three properties: the pre- and post-synaptic cells have similar heading direction. The cell pairs have neighboring grid bumps. Finally, the spatial offset of firing bumps of the cell pair is in the direction of the common heading preference. Such a module can produce strong and accurate linear look-ahead starting in any location and extending in any direction. We speculate that this process may: (1) compute linear paths to goals; (2) update grid cell firing during navigation; and (3) stabilize the rigid modules of grid cells and conjunctive cells. PMID:22557948

Impacts of Integrating the Repertory Grid into an Augmented Reality-Based Learning Design on Students' Learning Achievements, Cognitive Load and Degree of Satisfaction

ERIC Educational Resources Information Center

Wu, Po-Han; Hwang, Gwo-Jen; Yang, Mei-Ling; Chen, Chih-Hung

2018-01-01

Augmented reality (AR) offers potential advantages for intensifying environmental context awareness and augmenting students' experiences in real-world environments by dynamically overlapping digital materials with a real-world environment. However, some challenges to AR learning environments have been described, such as participants' cognitive…

A Symbolic Dance: The Interplay between Movement, Notation, and Mathematics on a Journey toward Solving Equations

ERIC Educational Resources Information Center

Hewitt, Dave

2014-01-01

This article analyzes the use of the software Grid Algebra with a mixed ability class of 21 nine-to-ten-year-old students who worked with complex formal notation involving all four arithmetic operations. Unlike many other models to support learning, Grid Algebra has formal notation ever present and allows students to "look through" that…

A sparse grid based method for generative dimensionality reduction of high-dimensional data

NASA Astrophysics Data System (ADS)

Bohn, Bastian; Garcke, Jochen; Griebel, Michael

2016-03-01

Generative dimensionality reduction methods play an important role in machine learning applications because they construct an explicit mapping from a low-dimensional space to the high-dimensional data space. We discuss a general framework to describe generative dimensionality reduction methods, where the main focus lies on a regularized principal manifold learning variant. Since most generative dimensionality reduction algorithms exploit the representer theorem for reproducing kernel Hilbert spaces, their computational costs grow at least quadratically in the number n of data. Instead, we introduce a grid-based discretization approach which automatically scales just linearly in n. To circumvent the curse of dimensionality of full tensor product grids, we use the concept of sparse grids. Furthermore, in real-world applications, some embedding directions are usually more important than others and it is reasonable to refine the underlying discretization space only in these directions. To this end, we employ a dimension-adaptive algorithm which is based on the ANOVA (analysis of variance) decomposition of a function. In particular, the reconstruction error is used to measure the quality of an embedding. As an application, the study of large simulation data from an engineering application in the automotive industry (car crash simulation) is performed.

Teaching Creativity in Higher Education

ERIC Educational Resources Information Center

Livingston, Larry

2010-01-01

Individual creativity is ubiquitous. New technologies both enable and urge fresh approaches to creativity in the context of education. University-level education offers a natural place to adjust pedagogical structures in favor of a more individual approach to learning that organizes the intellectual community into new patters of interaction and…

Critical Attributes of Public-Private Partnerships: A Case Study in Vocational Education

ERIC Educational Resources Information Center

Pillay, Hitendra; Watters, James J.; Hoff, Lutz

2013-01-01

The term "partnership" is increasingly used by governments, industry, community organisations and schools in supporting their daily businesses. Similar to the terms "ICT" and "learning," "partnerships" are now ubiquitous in policy discourse. Yet, the term remains ill-defined and ambiguous. This study reviews…

Joint Theater Trauma System: Strategic Overview

DTIC Science & Technology

2011-01-01

Ready for CENTCOM SG) – Multiple amputation management • (Ready for SME vetting) JTTS Trauma Conference Lessons Learned • New therapies – Tranexamic ... acid (used by UK @ Bastion) • Consensus not enough good data to support ubiquitous use • Limited use in patients with hyperfibrinolysis? – Renal

Ubiquitous Computing Technologies in Education

ERIC Educational Resources Information Center

Hwang, Gwo-Jen; Wu, Ting-Ting; Chen, Yen-Jung

2007-01-01

The prosperous development of wireless communication and sensor technologies has attracted the attention of researchers from both computer and education fields. Various investigations have been made for applying the new technologies to education purposes, such that more active and adaptive learning activities can be conducted in the real world.…

Physics Learning Strategies with Multi-touch Technology

NASA Astrophysics Data System (ADS)

Potter, Mark; Ilie, C.; Schofield, D.

2011-03-01

Advancements in technology have opened doorways to build new teaching and learning methods. Through conjunctive use of these technologies and methods, a classroom can be enriched to stimulate and improve student learning. The purpose of our research is to ascertain whether or not multi-touch technology enhances students' abilities to better comprehend and retain the knowledge taught in physics. At their basis, students learn via visual, aural, reading/writing, and kinesthetic styles. Labs provide for all but the aural style, while lectures lack kinesthetic learning. Pedagogical research indicates that kinesthetic learning is a fundamental, powerful, and ubiquitous learning style. By using multi-touch technology in lecture, not only can we accommodate kinesthetic learners, but we can also enrich the experiences of visual learners. Ushering to this wider array of students will hopefully lead to an increase in meaningful learning.

UBioLab: a web-LABoratory for Ubiquitous in-silico experiments.

PubMed

Bartocci, E; Di Berardini, M R; Merelli, E; Vito, L

2012-03-01

The huge and dynamic amount of bioinformatic resources (e.g., data and tools) available nowadays in Internet represents a big challenge for biologists -for what concerns their management and visualization- and for bioinformaticians -for what concerns the possibility of rapidly creating and executing in-silico experiments involving resources and activities spread over the WWW hyperspace. Any framework aiming at integrating such resources as in a physical laboratory has imperatively to tackle -and possibly to handle in a transparent and uniform way- aspects concerning physical distribution, semantic heterogeneity, co-existence of different computational paradigms and, as a consequence, of different invocation interfaces (i.e., OGSA for Grid nodes, SOAP for Web Services, Java RMI for Java objects, etc.). The framework UBioLab has been just designed and developed as a prototype following the above objective. Several architectural features -as those ones of being fully Web-based and of combining domain ontologies, Semantic Web and workflow techniques- give evidence of an effort in such a direction. The integration of a semantic knowledge management system for distributed (bioinformatic) resources, a semantic-driven graphic environment for defining and monitoring ubiquitous workflows and an intelligent agent-based technology for their distributed execution allows UBioLab to be a semantic guide for bioinformaticians and biologists providing (i) a flexible environment for visualizing, organizing and inferring any (semantics and computational) "type" of domain knowledge (e.g., resources and activities, expressed in a declarative form), (ii) a powerful engine for defining and storing semantic-driven ubiquitous in-silico experiments on the domain hyperspace, as well as (iii) a transparent, automatic and distributed environment for correct experiment executions.

A Framework for Real-Time Collection, Analysis, and Classification of Ubiquitous Infrasound Data

NASA Astrophysics Data System (ADS)

Christe, A.; Garces, M. A.; Magana-Zook, S. A.; Schnurr, J. M.

2015-12-01

Traditional infrasound arrays are generally expensive to install and maintain. There are ~10^3 infrasound channels on Earth today. The amount of data currently provided by legacy architectures can be processed on a modest server. However, the growing availability of low-cost, ubiquitous, and dense infrasonic sensor networks presents a substantial increase in the volume, velocity, and variety of data flow. Initial data from a prototype ubiquitous global infrasound network is already pushing the boundaries of traditional research server and communication systems, in particular when serving data products over heterogeneous, international network topologies. We present a scalable, cloud-based approach for capturing and analyzing large amounts of dense infrasonic data (>10^6 channels). We utilize Akka actors with WebSockets to maintain data connections with infrasound sensors. Apache Spark provides streaming, batch, machine learning, and graph processing libraries which will permit signature classification, cross-correlation, and other analytics in near real time. This new framework and approach provide significant advantages in scalability and cost.

Extracting grid cell characteristics from place cell inputs using non-negative principal component analysis

PubMed Central

Dordek, Yedidyah; Soudry, Daniel; Meir, Ron; Derdikman, Dori

2016-01-01

Many recent models study the downstream projection from grid cells to place cells, while recent data have pointed out the importance of the feedback projection. We thus asked how grid cells are affected by the nature of the input from the place cells. We propose a single-layer neural network with feedforward weights connecting place-like input cells to grid cell outputs. Place-to-grid weights are learned via a generalized Hebbian rule. The architecture of this network highly resembles neural networks used to perform Principal Component Analysis (PCA). Both numerical results and analytic considerations indicate that if the components of the feedforward neural network are non-negative, the output converges to a hexagonal lattice. Without the non-negativity constraint, the output converges to a square lattice. Consistent with experiments, grid spacing ratio between the first two consecutive modules is −1.4. Our results express a possible linkage between place cell to grid cell interactions and PCA. DOI: http://dx.doi.org/10.7554/eLife.10094.001 PMID:26952211

New Partnerships for Learning: Meeting Professional Information Needs

ERIC Educational Resources Information Center

Gannon-Leary, Pat; Carr, James

2010-01-01

This paper has been prompted by the challenges created by recent proposed reforms to social care services in the UK services which are being "modernised", a term ubiquitous in policy documents but difficult to define with confidence. Government modernisation and e-government programmes highlight with renewed urgency the need for social…

Digital Video and Writing with Priority Learners

ERIC Educational Resources Information Center

Diglin, Peter

2016-01-01

Digital technology has become more ubiquitous in classrooms across the western world. Literacy learning is topical in New Zealand education under the umbrella of the current National Standards policy, a policy introduced on the basis of rhetoric around improving achievement for priority learners. The study presented in this paper would then appear…

Web-Mediated Knowledge Synthesis for Educators

ERIC Educational Resources Information Center

DeSchryver, Michael

2015-01-01

Ubiquitous and instant access to information on the Web is challenging what constitutes 21st century literacies. This article explores the notion of Web-mediated knowledge synthesis, an approach to integrating Web-based learning that may result in generative synthesis of ideas. This article describes the skills and strategies that may support…

Court Schools: Embracing a Culture of Learning

ERIC Educational Resources Information Center

Garcia, Paul A.; Catania, Kathryn; Nofziger, Sam

2012-01-01

It is ironic that the population of students on which educators have the most surveillance, either through ubiquitous video cameras or through the vigilant presence of probation officers, have been the most invisible in many educational practices. English learners who are incarcerated youth and attend county court schools throughout California are…

Lights! Camera! Action!

ERIC Educational Resources Information Center

Waters, John K.

2011-01-01

Advanced capture technology has become almost ubiquitous in higher education: If an institution does nt have it, chances are that it is trailing the competition. Students want it. Tech-savvy teaochers like it. And blended learning environments practically demand it. The most commonly touted benefit of these systems is that they are student…

Social and Collaborative Interactions for Educational Content Enrichment in ULEs

ERIC Educational Resources Information Center

Araújo, Rafael D.; Brant-Ribeiro, Taffarel; Mendonça, Igor E. S.; Mendes, Miller M.; Dorça, Fabiano A.; Cattelan, Renan G.

2017-01-01

This article presents a social and collaborative model for content enrichment in Ubiquitous Learning Environments. Designed as a loosely coupled software architecture, the proposed model was implemented and integrated into the Classroom eXperience, a multimedia capture platform for educational environments. After automatically recording a lecture…

The Inclusion of Music/the Music of Inclusion

ERIC Educational Resources Information Center

Lubet, Alex

2009-01-01

The intention of this paper is to situate music within inclusive education. Intersections of music--widely regarded as a "talent" or hyperability--and disability provide unique perspectives on social organisation in general and human valuation in particular. Music is a ubiquitous and an essential component of learning beginning in infancy.…

Homeschooling, Virtual Learning, and the Eroding Public/Private Binary

ERIC Educational Resources Information Center

Saiger, Aaron

2016-01-01

Regulators ubiquitously dichotomize schooling into two discrete sectors: "public" and "private". Although homeschooling is regulated in some contexts as a third sector, the general approach is to treat it as a species of private education by subjecting it to public regulation while simultaneously denying it public funds. But…

Researching IT in Education

ERIC Educational Resources Information Center

Cox, M. J.; Niederhauser, D. S.; Castillo, N.; McDougall, A. B.; Sakamoto, T.; Roesvik, S.

2013-01-01

Many regions around the world are experiencing a gradual paradigm shift away from information technology (IT) use that complements traditional teaching and towards embedded IT use in E-learning that is ubiquitous and pervasive. This has been conceptualized in this article using a framework depicting the affects of these shifts on learning…

Childhood Wellbeing: What Role for Education?

ERIC Educational Resources Information Center

Spratt, Jennifer

2016-01-01

The word wellbeing is ubiquitous in political discourse, and concerns about childhood wellbeing are particularly rife. This paper identifies, in the context of Scottish policy, how different professional discourses of wellbeing have migrated into education policy and it examines how this relates to learning. Taking a view of policy enactment as…

Ubiquitous Wireless Laptops in Upper Elementary Mathematics

ERIC Educational Resources Information Center

Clariana, Roy

2009-01-01

This quasi-experimental investigation considers the second year of implementation of wireless laptops (1:1 ratio) in three 6th grade mathematics classrooms in one school compared to non-laptop classrooms (5:1 ratio) in seven other schools in the district. Comprehensive mathematics software from CompassLearning delivered via the internet was…

The Surveillance of Teachers and the Simulation of Teaching

ERIC Educational Resources Information Center

Page, Damien

2017-01-01

Just as surveillance in general has become more sophisticated, penetrative and ubiquitous, so has the surveillance of teachers. Enacted through an assemblage of strategies such as learning walks, parental networks, student voice and management information systems, the surveillance of teachers has proliferated as a means of managing the risks of…

Video Views and Reviews

ERIC Educational Resources Information Center

Watters, Christopher

2003-01-01

These days, all introductory biology students know that sliding filaments of myosin and actin cause muscle contraction. Moreover, cell biology students learn that there are more ubiquitous, less specialized forms of cell motility than what is evident in contracting muscle cells. Increasingly, it seems that actin is involved in a wider variety of…

Teaching "With" and "About" Nature of Science, and Science Teacher Knowledge Domains

ERIC Educational Resources Information Center

Abd-El-Khalick, Fouad

2013-01-01

The ubiquitous goals of helping precollege students develop informed conceptions of nature of science (NOS) and experience inquiry learning environments that progressively approximate authentic scientific practice have been long-standing and central aims of science education reforms around the globe. However, the realization of these goals…

Ubiquitous Music Learning in a Postperformance World

ERIC Educational Resources Information Center

Thibeault, Matthew D.

2012-01-01

Change growing from technological innovation occasions both excitement and apprehension for all educators. This is especially so in music education. For music educators, as many new wants as new worries accompany these changes. In this article, the author argues for the critical engagement of the music education profession to amplify positive…

Learning Based Bidding Strategy for HVAC Systems in Double Auction Retail Energy Markets

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

Sun, Yannan; Somani, Abhishek; Carroll, Thomas E.

In this paper, a bidding strategy is proposed using reinforcement learning for HVAC systems in a double auction market. The bidding strategy does not require a specific model-based representation of behavior, i.e., a functional form to translate indoor house temperatures into bid prices. The results from reinforcement learning based approach are compared with the HVAC bidding approach used in the AEP gridSMART® smart grid demonstration project and it is shown that the model-free (learning based) approach tracks well the results from the model-based behavior. Successful use of model-free approaches to represent device-level economic behavior may help develop similar approaches tomore » represent behavior of more complex devices or groups of diverse devices, such as in a building. Distributed control requires an understanding of decision making processes of intelligent agents so that appropriate mechanisms may be developed to control and coordinate their responses, and model-free approaches to represent behavior will be extremely useful in that quest.« less

Scalable Regression Tree Learning on Hadoop using OpenPlanet

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

Yin, Wei; Simmhan, Yogesh; Prasanna, Viktor

As scientific and engineering domains attempt to effectively analyze the deluge of data arriving from sensors and instruments, machine learning is becoming a key data mining tool to build prediction models. Regression tree is a popular learning model that combines decision trees and linear regression to forecast numerical target variables based on a set of input features. Map Reduce is well suited for addressing such data intensive learning applications, and a proprietary regression tree algorithm, PLANET, using MapReduce has been proposed earlier. In this paper, we describe an open source implement of this algorithm, OpenPlanet, on the Hadoop framework usingmore » a hybrid approach. Further, we evaluate the performance of OpenPlanet using realworld datasets from the Smart Power Grid domain to perform energy use forecasting, and propose tuning strategies of Hadoop parameters to improve the performance of the default configuration by 75% for a training dataset of 17 million tuples on a 64-core Hadoop cluster on FutureGrid.« less

Privacy-Related Context Information for Ubiquitous Health

PubMed Central

Nykänen, Pirkko; Ruotsalainen, Pekka

2014-01-01

Background Ubiquitous health has been defined as a dynamic network of interconnected systems. A system is composed of one or more information systems, their stakeholders, and the environment. These systems offer health services to individuals and thus implement ubiquitous computing. Privacy is the key challenge for ubiquitous health because of autonomous processing, rich contextual metadata, lack of predefined trust among participants, and the business objectives. Additionally, regulations and policies of stakeholders may be unknown to the individual. Context-sensitive privacy policies are needed to regulate information processing. Objective Our goal was to analyze privacy-related context information and to define the corresponding components and their properties that support privacy management in ubiquitous health. These properties should describe the privacy issues of information processing. With components and their properties, individuals can define context-aware privacy policies and set their privacy preferences that can change in different information-processing situations. Methods Scenarios and user stories are used to analyze typical activities in ubiquitous health to identify main actors, goals, tasks, and stakeholders. Context arises from an activity and, therefore, we can determine different situations, services, and systems to identify properties for privacy-related context information in information-processing situations. Results Privacy-related context information components are situation, environment, individual, information technology system, service, and stakeholder. Combining our analyses and previously identified characteristics of ubiquitous health, more detailed properties for the components are defined. Properties define explicitly what context information for different components is needed to create context-aware privacy policies that can control, limit, and constrain information processing. With properties, we can define, for example, how data can be processed or how components are regulated or in what kind of environment data can be processed. Conclusions This study added to the vision of ubiquitous health by analyzing information processing from the viewpoint of an individual’s privacy. We learned that health and wellness-related activities may happen in several environments and situations with multiple stakeholders, services, and systems. We have provided new knowledge regarding privacy-related context information and corresponding components by analyzing typical activities in ubiquitous health. With the identified components and their properties, individuals can define their personal preferences on information processing based on situational information, and privacy services can capture privacy-related context of the information-processing situation. PMID:25100084

Privacy-related context information for ubiquitous health.

PubMed

Seppälä, Antto; Nykänen, Pirkko; Ruotsalainen, Pekka

2014-03-11

Ubiquitous health has been defined as a dynamic network of interconnected systems. A system is composed of one or more information systems, their stakeholders, and the environment. These systems offer health services to individuals and thus implement ubiquitous computing. Privacy is the key challenge for ubiquitous health because of autonomous processing, rich contextual metadata, lack of predefined trust among participants, and the business objectives. Additionally, regulations and policies of stakeholders may be unknown to the individual. Context-sensitive privacy policies are needed to regulate information processing. Our goal was to analyze privacy-related context information and to define the corresponding components and their properties that support privacy management in ubiquitous health. These properties should describe the privacy issues of information processing. With components and their properties, individuals can define context-aware privacy policies and set their privacy preferences that can change in different information-processing situations. Scenarios and user stories are used to analyze typical activities in ubiquitous health to identify main actors, goals, tasks, and stakeholders. Context arises from an activity and, therefore, we can determine different situations, services, and systems to identify properties for privacy-related context information in information-processing situations. Privacy-related context information components are situation, environment, individual, information technology system, service, and stakeholder. Combining our analyses and previously identified characteristics of ubiquitous health, more detailed properties for the components are defined. Properties define explicitly what context information for different components is needed to create context-aware privacy policies that can control, limit, and constrain information processing. With properties, we can define, for example, how data can be processed or how components are regulated or in what kind of environment data can be processed. This study added to the vision of ubiquitous health by analyzing information processing from the viewpoint of an individual's privacy. We learned that health and wellness-related activities may happen in several environments and situations with multiple stakeholders, services, and systems. We have provided new knowledge regarding privacy-related context information and corresponding components by analyzing typical activities in ubiquitous health. With the identified components and their properties, individuals can define their personal preferences on information processing based on situational information, and privacy services can capture privacy-related context of the information-processing situation.

NREL + SolarCity: Maximizing Solar Power on Electrical Grids

ScienceCinema

Hannegan, Bryan; Hanley, Ryan; Symko-Davies, Marth

2018-05-23

Learn how NREL is partnering with SolarCity to study how to better integrate rooftop solar onto the grid. The work includes collaboration with the Hawaiian Electric Companies (HECO) to analyze high-penetration solar scenarios using advanced modeling and inverter testing at the Energy Systems Integration Facility (ESIF) on NREL’s campus. Results to date have been so promising that HECO has more than doubled the amount of rooftop solar it allows on its grid, showing utilities across the country that distributed solar is not a liability for reliability—and can even be an asset.

Progress in Machine Learning Studies for the CMS Computing Infrastructure

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

Bonacorsi, Daniele; Kuznetsov, Valentin; Magini, Nicolo

Here, computing systems for LHC experiments developed together with Grids worldwide. While a complete description of the original Grid-based infrastructure and services for LHC experiments and its recent evolutions can be found elsewhere, it is worth to mention here the scale of the computing resources needed to fulfill the needs of LHC experiments in Run-1 and Run-2 so far.

Progress in Machine Learning Studies for the CMS Computing Infrastructure

DOE PAGES

Bonacorsi, Daniele; Kuznetsov, Valentin; Magini, Nicolo; ...

2017-12-06

Here, computing systems for LHC experiments developed together with Grids worldwide. While a complete description of the original Grid-based infrastructure and services for LHC experiments and its recent evolutions can be found elsewhere, it is worth to mention here the scale of the computing resources needed to fulfill the needs of LHC experiments in Run-1 and Run-2 so far.

A Description Grid to Support the Design of Learning Role-Play Games

ERIC Educational Resources Information Center

Mariais, Christelle; Michau, Florence; Pernin, Jean-Philippe

2012-01-01

To strengthen the motivation of learners, the professional training sector is focusing more and more on game-based learning. In this context, the authors have become interested in the design of Learning Role-Play Game (LRPG) scenarios. The aim of this article is to improve the designers' confidence in the validity of the game-based learning…

Experiences of engineering Grid-based medical software.

PubMed

Estrella, F; Hauer, T; McClatchey, R; Odeh, M; Rogulin, D; Solomonides, T

2007-08-01

Grid-based technologies are emerging as potential solutions for managing and collaborating distributed resources in the biomedical domain. Few examples exist, however, of successful implementations of Grid-enabled medical systems and even fewer have been deployed for evaluation in practice. The objective of this paper is to evaluate the use in clinical practice of a Grid-based imaging prototype and to establish directions for engineering future medical Grid developments and their subsequent deployment. The MammoGrid project has deployed a prototype system for clinicians using the Grid as its information infrastructure. To assist in the specification of the system requirements (and for the first time in healthgrid applications), use-case modelling has been carried out in close collaboration with clinicians and radiologists who had no prior experience of this modelling technique. A critical qualitative and, where possible, quantitative analysis of the MammoGrid prototype is presented leading to a set of recommendations from the delivery of the first deployed Grid-based medical imaging application. We report critically on the application of software engineering techniques in the specification and implementation of the MammoGrid project and show that use-case modelling is a suitable vehicle for representing medical requirements and for communicating effectively with the clinical community. This paper also discusses the practical advantages and limitations of applying the Grid to real-life clinical applications and presents the consequent lessons learned. The work presented in this paper demonstrates that given suitable commitment from collaborating radiologists it is practical to deploy in practice medical imaging analysis applications using the Grid but that standardization in and stability of the Grid software is a necessary pre-requisite for successful healthgrids. The MammoGrid prototype has therefore paved the way for further advanced Grid-based deployments in the medical and biomedical domains.

Intrusion detection system using Online Sequence Extreme Learning Machine (OS-ELM) in advanced metering infrastructure of smart grid.

PubMed

Li, Yuancheng; Qiu, Rixuan; Jing, Sitong

2018-01-01

Advanced Metering Infrastructure (AMI) realizes a two-way communication of electricity data through by interconnecting with a computer network as the core component of the smart grid. Meanwhile, it brings many new security threats and the traditional intrusion detection method can't satisfy the security requirements of AMI. In this paper, an intrusion detection system based on Online Sequence Extreme Learning Machine (OS-ELM) is established, which is used to detecting the attack in AMI and carrying out the comparative analysis with other algorithms. Simulation results show that, compared with other intrusion detection methods, intrusion detection method based on OS-ELM is more superior in detection speed and accuracy.

Entanglement-Based Machine Learning on a Quantum Computer

NASA Astrophysics Data System (ADS)

Cai, X.-D.; Wu, D.; Su, Z.-E.; Chen, M.-C.; Wang, X.-L.; Li, Li; Liu, N.-L.; Lu, C.-Y.; Pan, J.-W.

2015-03-01

Machine learning, a branch of artificial intelligence, learns from previous experience to optimize performance, which is ubiquitous in various fields such as computer sciences, financial analysis, robotics, and bioinformatics. A challenge is that machine learning with the rapidly growing "big data" could become intractable for classical computers. Recently, quantum machine learning algorithms [Lloyd, Mohseni, and Rebentrost, arXiv.1307.0411] were proposed which could offer an exponential speedup over classical algorithms. Here, we report the first experimental entanglement-based classification of two-, four-, and eight-dimensional vectors to different clusters using a small-scale photonic quantum computer, which are then used to implement supervised and unsupervised machine learning. The results demonstrate the working principle of using quantum computers to manipulate and classify high-dimensional vectors, the core mathematical routine in machine learning. The method can, in principle, be scaled to larger numbers of qubits, and may provide a new route to accelerate machine learning.

A machine learning approach for efficient uncertainty quantification using multiscale methods

NASA Astrophysics Data System (ADS)

Chan, Shing; Elsheikh, Ahmed H.

2018-02-01

Several multiscale methods account for sub-grid scale features using coarse scale basis functions. For example, in the Multiscale Finite Volume method the coarse scale basis functions are obtained by solving a set of local problems over dual-grid cells. We introduce a data-driven approach for the estimation of these coarse scale basis functions. Specifically, we employ a neural network predictor fitted using a set of solution samples from which it learns to generate subsequent basis functions at a lower computational cost than solving the local problems. The computational advantage of this approach is realized for uncertainty quantification tasks where a large number of realizations has to be evaluated. We attribute the ability to learn these basis functions to the modularity of the local problems and the redundancy of the permeability patches between samples. The proposed method is evaluated on elliptic problems yielding very promising results.

Speaking Personally--With John "Pathfinder" Lester

ERIC Educational Resources Information Center

Beaubois, Terry

2013-01-01

John Lester is currently the chief learning officer at ReactionGrid, a software company developing 3-D simulations and multiuser virtual world platforms. Lester's background includes working with Linden Lab on Second Life's education activities and neuroscience research. His primary focus is on collaborative learning and instructional…

A methodology toward manufacturing grid-based virtual enterprise operation platform

NASA Astrophysics Data System (ADS)

Tan, Wenan; Xu, Yicheng; Xu, Wei; Xu, Lida; Zhao, Xianhua; Wang, Li; Fu, Liuliu

2010-08-01

Virtual enterprises (VEs) have become one of main types of organisations in the manufacturing sector through which the consortium companies organise their manufacturing activities. To be competitive, a VE relies on the complementary core competences among members through resource sharing and agile manufacturing capacity. Manufacturing grid (M-Grid) is a platform in which the production resources can be shared. In this article, an M-Grid-based VE operation platform (MGVEOP) is presented as it enables the sharing of production resources among geographically distributed enterprises. The performance management system of the MGVEOP is based on the balanced scorecard and has the capacity of self-learning. The study shows that a MGVEOP can make a semi-automated process possible for a VE, and the proposed MGVEOP is efficient and agile.

UbiqBio: Adoptions and Outcomes of Mobile Biology Games in the Ecology of School

ERIC Educational Resources Information Center

Perry, Judy; Klopfer, Eric

2014-01-01

The integration of learning games into schools holds significant promise, yet faces numerous obstacles. Ubiquitous games (casual games for smart phones) attempt to motivate students to engage repeatedly with content beyond school, while enabling teachers to facilitate deeper reflection on game-related curricula during class. During a two-year…

An Effect of Interactive Media in a Social Awareness Ubiquitous Learning Community

ERIC Educational Resources Information Center

Na-songkhla, Jaitip

2011-01-01

Chulalongkorn University collaboratively worked with the Office of Basic Education, and Department of Highways, with support from a Corporate Social Responsibility Unit (CSR) of Toyota motor Thailand in a Road Safety Project. The project was aimed at cultivating a social awareness, "from a school to a community", using a set of…

Enriching Higher Education with Social Media: Development and Evaluation of a Social Media Toolkit

ERIC Educational Resources Information Center

Gülbahar, Yasemin; Rapp, Christian; Kilis, Selcan; Sitnikova, Anna

2017-01-01

While ubiquitous in everyday use, in reality, social media usage within higher education teaching has expanded quite slowly. Analysis of social media usage of students and instructors for teaching, learning, and research purposes across four countries (Russia, Turkey, Germany, and Switzerland) showed that many higher education instructors actively…

The Poisoning of Young Minds: Learning in an Age of Neurotoxins

ERIC Educational Resources Information Center

Steingraber, Sandra

2013-01-01

This article is an excerpt from "Raising Elijah: Protecting Our Children in an Age of Environmental Crisis" (2011), by Sandra Steingraber. As a scientist, mother, and concerned citizen, Steingraber explores herein the damaging effects of the myriad and ubiquitous environmental pollutants--in homes, schools, and communities--on the lives…

The Road Ahead

ERIC Educational Resources Information Center

Grush, Mary

2010-01-01

The role of the chief information officer (CIO) in higher education has expanded over time as technology has worked its way into people's daily lives, altering forever the way they work and learn, and becoming ubiquitous on campuses. IT is now critical to the business of education, and the CIO has stretched his or her influence to span key…

Emergence of Data Analytics in the Information Systems Curriculum

ERIC Educational Resources Information Center

Jafar, Musa J.; Babb, Jeffry; Abdullat, Amjda

2017-01-01

As a phenomenon of interest, impact, and import, there is little doubt that the pervasive expansion of data is upon us as Information Systems educators. Concerns and topics such as Data Science, Data Analytics, Machine Learning, Business Analytics, and Business Intelligence are now ubiquitous and often situated as being the "next big…

The Components of Great Sex: Sexuality Education for People Who Desire to Scale the Heights of Optimal Sexuality

ERIC Educational Resources Information Center

Wampold, Charles H.

2014-01-01

Ubiquitous "sex tips" in popular media evidence an unquenchable public interest in learning how to experience "great sex," and studies confirm that a great sexual relationship correlates to general relationship satisfaction, which in turn correlates to overall happiness. However, sexologists have paid scant attention to…

An Analytical Autoethnographical Account of Using Inquiry-Based Learning in a Graduate Research Methods Course

ERIC Educational Resources Information Center

Woolf, Jules

2017-01-01

Increased emphasis is being placed on integrating research and teaching in higher education because of the numerous benefits accrued by students. In accordance, research methods courses are ubiquitously contained in curricula, ostensibly to promote research training and the research-teaching nexus. Students may not appreciate the inclusion,…

Pondering the Ubiquity of Reading: What Can We Learn?

ERIC Educational Resources Information Center

Commeyras, Michelle

2001-01-01

Describes the author's teaching practice of sending her preservice reading teachers (and herself) on a reading odyssey that results in the creation of a personal anthology. Includes guidelines for the odyssey and the anthology. Discusses five books the author read on her reading odyssey and discusses the ways in which reading was ubiquitous in…

Strategy Makeover: K-W-L to T-H-C

ERIC Educational Resources Information Center

Crowther, David T.; Cannon, John

2004-01-01

For the past few decades the integration of literacy instruction has influenced the teaching of science in the elementary classroom--whether through traditional learning or as part of inquiry and hands-on methods. One reason: the ubiquitous K-W-L strategy. This popular literacy strategy is essentially a framework to guide students through a…

Tablet Computer Literacy Levels of the Physical Education and Sports Department Students

ERIC Educational Resources Information Center

Hergüner, Gülten

2016-01-01

Education systems are being affected in parallel by newly emerging hardware and new developments occurring in technology daily. Tablet usage especially is becoming ubiquitous in the teaching-learning processes in recent years. Therefore, using the tablets effectively, managing them and having a high level of tablet literacy play an important role…

Using Case-Based Reasoning to Improve the Quality of Feedback Provided by Automated Grading Systems

ERIC Educational Resources Information Center

Kyrilov, Angelo; Noelle, David C.

2014-01-01

Information technology is now ubiquitous in higher education institutions worldwide. More than 85% of American universities use e-learning systems to supplement traditional classroom activities while some have started offering Massive Online Open Courses (MOOCs), which are completely online. An obvious benefit of these online tools is their…

Augmented Reality Games: Using Technology on a Budget

ERIC Educational Resources Information Center

Annetta, Leonard; Burton, Erin Peters; Frazier, Wendy; Cheng, Rebecca; Chmiel, Margaret

2012-01-01

As smartphones become more ubiquitous among adolescents, there is increasing potential for these as a tool to engage students in science instruction through innovative learning environments such as augmented reality (AR). Aligned with the National Science Education Standards (NRC 1996) and integrating the three dimensions of "A Framework for K-12…

A Tale of Tweets: Analyzing Microblogging among Language Learners

ERIC Educational Resources Information Center

Lomicka, Lara; Lord, Gillian

2012-01-01

In these days of ubiquitous tweeting, language teachers must consider whether microblogging is an activity that will bring benefits to the learning experience. Recent research (Junco et al., 2010; Messner, 2009, among others) indicates that Twitter is becoming increasingly popular in classrooms, but few studies (see for example, Borau et al.,…

Computer Assisted Language Learning and the Internationalisation of the Portuguese Language in Higher Education Contexts

ERIC Educational Resources Information Center

Sevilla-Pavón, Ana

2015-01-01

The internationalisation of the Portuguese language has become a priority for academic institutions of different Portuguese-speaking countries which are trying to adapt to the current context of globalisation and ubiquitous communications through digital media. In order to achieve it, several challenges should be faced, namely providing…

The Lost Lamb: A Literature Review on the Confusion of College Students in China

ERIC Educational Resources Information Center

Dong, Jianmei; Han, Fubin

2010-01-01

With the development of mass higher education in China, confusion--a contradictory state between college students' awareness of employment, learning, morality, and their own behavior and societal requirements--is proving a ubiquitous problem among college students. His confusion has garnered much social attention. In this paper, the origins of…

Learning about Drinking Water: How Important Are the Three Dimensions of Knowledge That Can Change Individual Behavior?

ERIC Educational Resources Information Center

Fremerey, Christian; Bogner, Franz X.

2014-01-01

Clean drinking water, our most important resource, needs comprehensive protection. Due to its ubiquitous availability, the awareness of the importance of clean drinking water has partially vanished. Therefore, sensitizing within this context and improving individual ecological behavior has become an important issue in science curricula. We…

Electronic Reading and Digital Library Technologies: Understanding Learner Expectation and Usage Intent for Mobile Learning

ERIC Educational Resources Information Center

Hyman, Jack A.; Moser, Mary T.; Segala, Laura N.

2014-01-01

Mobile information technology is changing the education landscape by offering learners the opportunity to engage in asynchronous, ubiquitous instruction. While there is a proliferation of mobile content management systems being developed for the mobile Web and stand-alone mobile applications, few studies have addressed learner expectations and…

Machine Learning Methods for Articulatory Data

ERIC Educational Resources Information Center

Berry, Jeffrey James

2012-01-01

Humans make use of more than just the audio signal to perceive speech. Behavioral and neurological research has shown that a person's knowledge of how speech is produced influences what is perceived. With methods for collecting articulatory data becoming more ubiquitous, methods for extracting useful information are needed to make this data…

Macromedia Flash as a Tool for Mathematics Teaching and Learning

ERIC Educational Resources Information Center

Garofalo, Joe; Summers, Tim

2004-01-01

Macromedia Flash is a powerful and robust development tool. Because of its graphical, sound, and animation capabilities (and ubiquitous browser plug-in), major companies employ it in their website development (see www.nike.com or www.espn.com). These same features also make Flash a valuable environment for building multi-representational "movies"…

A Call for Courageous Leadership

ERIC Educational Resources Information Center

Danielson, Rachel

2015-01-01

Going to college is not for everyone, but for those who do choose to enroll, the education received should be framed within a system that values students and deliberately seeks to be of the highest quality. Educators must recognize the ubiquitous nature of technology and the advantages it offers for learning. Providing financial support for…

Technology-Supported Orchestration Matters: Outperforming Paper-Based Scripting in a Jigsaw Classroom

ERIC Educational Resources Information Center

Balestrini, Mara; Hernandez-Leo, Davinia; Nieves, Raul; Blat, Josep

2014-01-01

Under the umbrella of ubiquitous technologies, many computational artifacts have been designed to enhance the learning experience in physical settings such as classrooms or playgrounds, but few of them focus on aiding orchestration. This paper presents a systematic evaluation of the signal orchestration system (SOS) used by students for a jigsaw…

Teaching about Propaganda: An Examination of the Historical Roots of Media Literacy

ERIC Educational Resources Information Center

Hobbs, Renee; McGee, Sandra

2014-01-01

Contemporary propaganda is ubiquitous in our culture today as public relations and marketing efforts have become core dimensions of the contemporary communication system, affecting all forms of personal, social and public expression. To examine the origins of teaching and learning about propaganda, we examine some instructional materials produced…

Racial bias shapes social reinforcement learning.

PubMed

Lindström, Björn; Selbing, Ida; Molapour, Tanaz; Olsson, Andreas

2014-03-01

Both emotional facial expressions and markers of racial-group belonging are ubiquitous signals in social interaction, but little is known about how these signals together affect future behavior through learning. To address this issue, we investigated how emotional (threatening or friendly) in-group and out-group faces reinforced behavior in a reinforcement-learning task. We asked whether reinforcement learning would be modulated by intergroup attitudes (i.e., racial bias). The results showed that individual differences in racial bias critically modulated reinforcement learning. As predicted, racial bias was associated with more efficiently learned avoidance of threatening out-group individuals. We used computational modeling analysis to quantitatively delimit the underlying processes affected by social reinforcement. These analyses showed that racial bias modulates the rate at which exposure to threatening out-group individuals is transformed into future avoidance behavior. In concert, these results shed new light on the learning processes underlying social interaction with racial-in-group and out-group individuals.

NeuroLOG: a community-driven middleware design.

PubMed

Montagnat, Johan; Gaignard, Alban; Lingrand, Diane; Rojas Balderrama, Javier; Collet, Philippe; Lahire, Philippe

2008-01-01

The NeuroLOG project designs an ambitious neurosciences middleware, gaining from many existing components and learning from past project experiences. It is targeting a focused application area and adopting a user-centric perspective to meet the neuroscientists expectations. It aims at fostering the adoption of HealthGrids in a pre-clinical community. This paper details the project's design study and methodology which were proposed to achieve the integration of heterogeneous site data schemas and the definition of a site-centric policy. The NeuroLOG middleware will bridge HealthGrid and local resources to match user desires to control their resources and provide a transitional model towards HealthGrids.

UBioLab: a web-laboratory for ubiquitous in-silico experiments.

PubMed

Bartocci, Ezio; Cacciagrano, Diletta; Di Berardini, Maria Rita; Merelli, Emanuela; Vito, Leonardo

2012-07-09

The huge and dynamic amount of bioinformatic resources (e.g., data and tools) available nowadays in Internet represents a big challenge for biologists –for what concerns their management and visualization– and for bioinformaticians –for what concerns the possibility of rapidly creating and executing in-silico experiments involving resources and activities spread over the WWW hyperspace. Any framework aiming at integrating such resources as in a physical laboratory has imperatively to tackle –and possibly to handle in a transparent and uniform way– aspects concerning physical distribution, semantic heterogeneity, co-existence of different computational paradigms and, as a consequence, of different invocation interfaces (i.e., OGSA for Grid nodes, SOAP for Web Services, Java RMI for Java objects, etc.). The framework UBioLab has been just designed and developed as a prototype following the above objective. Several architectural features –as those ones of being fully Web-based and of combining domain ontologies, Semantic Web and workflow techniques– give evidence of an effort in such a direction. The integration of a semantic knowledge management system for distributed (bioinformatic) resources, a semantic-driven graphic environment for defining and monitoring ubiquitous workflows and an intelligent agent-based technology for their distributed execution allows UBioLab to be a semantic guide for bioinformaticians and biologists providing (i) a flexible environment for visualizing, organizing and inferring any (semantics and computational) "type" of domain knowledge (e.g., resources and activities, expressed in a declarative form), (ii) a powerful engine for defining and storing semantic-driven ubiquitous in-silico experiments on the domain hyperspace, as well as (iii) a transparent, automatic and distributed environment for correct experiment executions.

Cascading failure in scale-free networks with tunable clustering

NASA Astrophysics Data System (ADS)

Zhang, Xue-Jun; Gu, Bo; Guan, Xiang-Min; Zhu, Yan-Bo; Lv, Ren-Li

2016-02-01

Cascading failure is ubiquitous in many networked infrastructure systems, such as power grids, Internet and air transportation systems. In this paper, we extend the cascading failure model to a scale-free network with tunable clustering and focus on the effect of clustering coefficient on system robustness. It is found that the network robustness undergoes a nonmonotonic transition with the increment of clustering coefficient: both highly and lowly clustered networks are fragile under the intentional attack, and the network with moderate clustering coefficient can better resist the spread of cascading. We then provide an extensive explanation for this constructive phenomenon via the microscopic point of view and quantitative analysis. Our work can be useful to the design and optimization of infrastructure systems.

Utility aspects of space power: Load management versus source management

NASA Technical Reports Server (NTRS)

Walls, B.

1995-01-01

Electrical power, as an area of study, is relatively young as compared to language, chemistry, physics, mathematics, philosophy, metallurgy, textiles, transportation, or farming. Practically all of the technology that has enabled the huge, continent-spanning power grids that have become ubiquitous in developed countries was developed in the last 150 years. In fact, Tesla's advocacy of alternating current for transmission just won out in the beginning of this century. Despite the novelty of the field as a whole, space power applications are, of course, much newer. This paper looks at the history of space power, and compares it to its older sibling on earth, forming a basis for determining appropriate transitions of technology from the terrestrial realm to space applications.

A roadmap of clustering algorithms: finding a match for a biomedical application.

PubMed

Andreopoulos, Bill; An, Aijun; Wang, Xiaogang; Schroeder, Michael

2009-05-01

Clustering is ubiquitously applied in bioinformatics with hierarchical clustering and k-means partitioning being the most popular methods. Numerous improvements of these two clustering methods have been introduced, as well as completely different approaches such as grid-based, density-based and model-based clustering. For improved bioinformatics analysis of data, it is important to match clusterings to the requirements of a biomedical application. In this article, we present a set of desirable clustering features that are used as evaluation criteria for clustering algorithms. We review 40 different clustering algorithms of all approaches and datatypes. We compare algorithms on the basis of desirable clustering features, and outline algorithms' benefits and drawbacks as a basis for matching them to biomedical applications.

Panel summary of cyber-physical systems (CPS) and Internet of Things (IoT) opportunities with information fusion

NASA Astrophysics Data System (ADS)

Blasch, Erik; Kadar, Ivan; Grewe, Lynne L.; Brooks, Richard; Yu, Wei; Kwasinski, Andres; Thomopoulos, Stelios; Salerno, John; Qi, Hairong

2017-05-01

During the 2016 SPIE DSS conference, nine panelists were invited to highlight the trends and opportunities in cyber-physical systems (CPS) and Internet of Things (IoT) with information fusion. The world will be ubiquitously outfitted with many sensors to support our daily living thorough the Internet of Things (IoT), manage infrastructure developments with cyber-physical systems (CPS), as well as provide communication through networked information fusion technology over the internet (NIFTI). This paper summarizes the panel discussions on opportunities of information fusion to the growing trends in CPS and IoT. The summary includes the concepts and areas where information supports these CPS/IoT which includes situation awareness, transportation, and smart grids.

Temporal structure of motor variability is dynamically regulated and predicts motor learning ability.

PubMed

Wu, Howard G; Miyamoto, Yohsuke R; Gonzalez Castro, Luis Nicolas; Ölveczky, Bence P; Smith, Maurice A

2014-02-01

Individual differences in motor learning ability are widely acknowledged, yet little is known about the factors that underlie them. Here we explore whether movement-to-movement variability in motor output, a ubiquitous if often unwanted characteristic of motor performance, predicts motor learning ability. Surprisingly, we found that higher levels of task-relevant motor variability predicted faster learning both across individuals and across tasks in two different paradigms, one relying on reward-based learning to shape specific arm movement trajectories and the other relying on error-based learning to adapt movements in novel physical environments. We proceeded to show that training can reshape the temporal structure of motor variability, aligning it with the trained task to improve learning. These results provide experimental support for the importance of action exploration, a key idea from reinforcement learning theory, showing that motor variability facilitates motor learning in humans and that our nervous systems actively regulate it to improve learning.

Temporal structure of motor variability is dynamically regulated and predicts motor learning ability

PubMed Central

Wu, Howard G; Miyamoto, Yohsuke R; Castro, Luis Nicolas Gonzalez; Ölveczky, Bence P; Smith, Maurice A

2015-01-01

Individual differences in motor learning ability are widely acknowledged, yet little is known about the factors that underlie them. Here we explore whether movement-to-movement variability in motor output, a ubiquitous if often unwanted characteristic of motor performance, predicts motor learning ability. Surprisingly, we found that higher levels of task-relevant motor variability predicted faster learning both across individuals and across tasks in two different paradigms, one relying on reward-based learning to shape specific arm movement trajectories and the other relying on error-based learning to adapt movements in novel physical environments. We proceeded to show that training can reshape the temporal structure of motor variability, aligning it with the trained task to improve learning. These results provide experimental support for the importance of action exploration, a key idea from reinforcement learning theory, showing that motor variability facilitates motor learning in humans and that our nervous systems actively regulate it to improve learning. PMID:24413700

High-performance wire-grid polarizers using jet and Flash™ imprint lithography

NASA Astrophysics Data System (ADS)

Ahn, Se Hyun; Yang, Shuqiang; Miller, Mike; Ganapathisubramanian, Maha; Menezes, Marlon; Choi, Jin; Xu, Frank; Resnick, Douglas J.; Sreenivasan, S. V.

2013-07-01

Extremely large-area roll-to-roll (R2R) manufacturing on flexible substrates is ubiquitous for applications such as paper and plastic processing. It combines the benefits of high speed and inexpensive substrates to deliver a commodity product at low cost. The challenge is to extend this approach to the realm of nanopatterning and realize similar benefits. In order to achieve low-cost nanopatterning, it is imperative to move toward high-speed imprinting, less complex tools, near zero waste of consumables, and low-cost substrates. We have developed a roll-based J-FIL process and applied it to a technology demonstrator tool, the LithoFlex 100, to fabricate large-area flexible bilayer wire-grid polarizers (WGPs) and high-performance WGPs on rigid glass substrates. Extinction ratios of better than 10,000 are obtained for the glass-based WGPs. Two simulation packages are also employed to understand the effects of pitch, aluminum thickness, and pattern defectivity on the optical performance of the WGP devices. It is determined that the WGPs can be influenced by both clear and opaque defects in the gratings; however, the defect densities are relaxed relative to the requirements of a high-density semiconductor device.

Intrusion Prevention and Detection in Grid Computing - The ALICE Case

NASA Astrophysics Data System (ADS)

Gomez, Andres; Lara, Camilo; Kebschull, Udo

2015-12-01

Grids allow users flexible on-demand usage of computing resources through remote communication networks. A remarkable example of a Grid in High Energy Physics (HEP) research is used in the ALICE experiment at European Organization for Nuclear Research CERN. Physicists can submit jobs used to process the huge amount of particle collision data produced by the Large Hadron Collider (LHC). Grids face complex security challenges. They are interesting targets for attackers seeking for huge computational resources. Since users can execute arbitrary code in the worker nodes on the Grid sites, special care should be put in this environment. Automatic tools to harden and monitor this scenario are required. Currently, there is no integrated solution for such requirement. This paper describes a new security framework to allow execution of job payloads in a sandboxed context. It also allows process behavior monitoring to detect intrusions, even when new attack methods or zero day vulnerabilities are exploited, by a Machine Learning approach. We plan to implement the proposed framework as a software prototype that will be tested as a component of the ALICE Grid middleware.

Intrusion detection system using Online Sequence Extreme Learning Machine (OS-ELM) in advanced metering infrastructure of smart grid

PubMed Central

Li, Yuancheng; Jing, Sitong

2018-01-01

Advanced Metering Infrastructure (AMI) realizes a two-way communication of electricity data through by interconnecting with a computer network as the core component of the smart grid. Meanwhile, it brings many new security threats and the traditional intrusion detection method can’t satisfy the security requirements of AMI. In this paper, an intrusion detection system based on Online Sequence Extreme Learning Machine (OS-ELM) is established, which is used to detecting the attack in AMI and carrying out the comparative analysis with other algorithms. Simulation results show that, compared with other intrusion detection methods, intrusion detection method based on OS-ELM is more superior in detection speed and accuracy. PMID:29485990

Three Dimensional Grid Generation for Complex Configurations - Recent Progress

DTIC Science & Technology

1988-03-01

Navier/Stokes finite difference calculations currently of interest. It has been amply demonstrated that the viability of a numerical solution depends...such as advanced fighters or logistic transports, where a multiblock mesh, for example, is necessary. There exist numerous reports and books on the...MESHES I 3.10 ADAPTIVE GRID SCHEMES 10 3.11 REFERENCES 12 4. CONTRIBUTIONS 13 4.1 SOLICITATION AND OVERVIEW 13 4.2 LESSONS LEARNED IN THE MESH

Toward Development of Distance Learning Environment in the Grid

ERIC Educational Resources Information Center

Li, Kuan-Ching; Tsai, Yin-Te; Tsai, Chuan-Ko

2008-01-01

In recent years, with the rapid development of communication and network technologies, distance learning has been popularized and it became one of the most well-known teaching methods, due to its practicability. Over the Internet, learners are free to access new knowledge without restrictions on time or location. However, current distance learning…

The Potential of Crossword Puzzles in Aiding English Language Learners

ERIC Educational Resources Information Center

Merkel, Warren

2016-01-01

In an academic environment, teachers utilize crossword puzzles to help students learn or remember terminology. Outside the classroom, typically in daily newspapers, crosswords aid in vocabulary development, used as a learning tool, a leisure activity, or both. However, both the content and the grid structure of the crosswords in these two…

Using Repertory Grid Techniques to Measure Change Following Dialectical Behaviour Therapy with Adults with Learning Disabilities: Two Case Studies

ERIC Educational Resources Information Center

McNair, Louisa; Woodrow, Ceri; Hare, Dougal

2016-01-01

Background: Government strategy indicates that individuals with learning disabilities should have access to adapted psychological therapies. Dialectical behaviour therapy (DBT) is recommended for the treatment of borderline personality disorder (BPD); however, there is little published research regarding whether it can be appropriately adapted for…

The Dudley Challenges: Virtual Balloon Journeys and Real Learning

ERIC Educational Resources Information Center

Hackett, Shirley; Davies, John; Tibble, Eric

2005-01-01

The Dudley Challenges were developed to celebrate the millennium and the first year of the Dudley Grid for Learning. Three Challenges, Challenge 2000 the original resource, Challenge Europa and Junior Trek, are based on virtual balloon journeys, visiting a series of interesting cultural centres. Access to each centre visited is by solving a series…

Optimal control in microgrid using multi-agent reinforcement learning.

PubMed

Li, Fu-Dong; Wu, Min; He, Yong; Chen, Xin

2012-11-01

This paper presents an improved reinforcement learning method to minimize electricity costs on the premise of satisfying the power balance and generation limit of units in a microgrid with grid-connected mode. Firstly, the microgrid control requirements are analyzed and the objective function of optimal control for microgrid is proposed. Then, a state variable "Average Electricity Price Trend" which is used to express the most possible transitions of the system is developed so as to reduce the complexity and randomicity of the microgrid, and a multi-agent architecture including agents, state variables, action variables and reward function is formulated. Furthermore, dynamic hierarchical reinforcement learning, based on change rate of key state variable, is established to carry out optimal policy exploration. The analysis shows that the proposed method is beneficial to handle the problem of "curse of dimensionality" and speed up learning in the unknown large-scale world. Finally, the simulation results under JADE (Java Agent Development Framework) demonstrate the validity of the presented method in optimal control for a microgrid with grid-connected mode. Copyright © 2012 ISA. Published by Elsevier Ltd. All rights reserved.

Perceptual learning.

PubMed

Seitz, Aaron R

2017-07-10

Perceptual learning refers to how experience can change the way we perceive sights, sounds, smells, tastes, and touch. Examples abound: music training improves our ability to discern tones; experience with food and wines can refine our pallet (and unfortunately more quickly empty our wallet), and with years of training radiologists learn to save lives by discerning subtle details of images that escape the notice of untrained viewers. We often take perceptual learning for granted, but it has a profound impact on how we perceive the world. In this Primer, I will explain how perceptual learning is transformative in guiding our perceptual processes, how research into perceptual learning provides insight into fundamental mechanisms of learning and brain processes, and how knowledge of perceptual learning can be used to develop more effective training approaches for those requiring expert perceptual skills or those in need of perceptual rehabilitation (such as individuals with poor vision). I will make a case that perceptual learning is ubiquitous, scientifically interesting, and has substantial practical utility to us all. Copyright © 2017. Published by Elsevier Ltd.

Ubiquitous Games for Learning (UbiqGames): Weatherlings, a Worked Example

ERIC Educational Resources Information Center

Klopfer, E.; Sheldon, J.; Perry, J.; Chen, V. H. -H.

2012-01-01

This paper provides a rationale for a class of mobile, casual, and educational games, which we call UbiqGames. The study is motivated by the desire to understand how students use educational games in light of additional distractions on their devices, and how game design can make those games appealing, educationally useful, and practical. In…

Exploring the Views of Students on the Use of Facebook in University Teaching and Learning

ERIC Educational Resources Information Center

Donlan, Leah

2014-01-01

Facebook use among students is almost ubiquitous; however, its use for formal academic purposes remains contested. Through an online survey monitoring student use of module Facebook pages and focus groups, this study explores students' current academic uses of Facebook and their views on using Facebook within university modules. Students reported…

Using Case-Based Reasoning to Improve the Quality of Feedback Provided by Automated Assessment Systems for Programming Exercises

ERIC Educational Resources Information Center

Kyrilov, Angelo

2017-01-01

Information technology is now ubiquitous in higher education institutions worldwide. More than 85% of American universities use e-learning systems to supplement traditional classroom activities. An obvious benefit of these online tools is their ability to automatically grade exercises submitted by students and provide immediate feedback. Most of…

Computers on Wheels: An Alternative to Each One Has One

ERIC Educational Resources Information Center

Grant, Michael M.; Ross, Steven M.; Wang, Weiping; Potter, Allison

2005-01-01

Four fifth-grade classrooms embarked on a modified ubiquitous computing initiative in the fall of 2003. Two 15-computer wireless laptop carts were shared among the four classrooms in an effort to integrate technology across the curriculum and affect change in student learning and teacher pedagogy. This initiative--in contrast to other one-to-one…

Status Quo and Prospective of WeChat in Improving Chinese English Learners' Pronunciation

ERIC Educational Resources Information Center

Wang, Kanghui

2017-01-01

With the ubiquitous usage of wireless, portable, and handheld devices gaining popularity in 21st century, the revolutionary mobile technology introduces digital new media to educational settings, which has changed the way of traditional teaching and learning. WeChat is one of the most popular social networking applications in China featured by its…

Exploring the Roles of Social Participation in Mobile Social Media Learning: A Social Network Analysis

ERIC Educational Resources Information Center

Norman, Helmi; Nordin, Norazah; Din, Rosseni; Ally, Mohamad; Dogan, Huseyin

2015-01-01

Social media is increasingly becoming an essential platform for social connectivity in our daily lives. The availability of mobile technology has further fueled its importance -- making it a ubiquitous tool for social interaction. However, limited studies have been conducted to investigate roles of social participation in this field. Thus, the…

The Role of the Teacher in Primary School Web 2.0 Use

ERIC Educational Resources Information Center

Blannin, Joanne

2015-01-01

Information and communication technologies (ICTs) have become ubiquitous in our society. In particular, 10-12 year old (primary school aged) children report that they increasingly rely upon ICTs for social interaction and for learning (ACMA, 2013). In spite of the large number of students reporting high ICT use, research indicates that many…

Untangling Web 2.0's Influences on Student Learning

ERIC Educational Resources Information Center

Magolda, Peter M.; Platt, Glenn J.

2009-01-01

The recent creation of Web 2.0 applications dramatically alters the ways in which universities recruit and educate students. Technology insiders usually attribute the phrase "Web 2.0" to Tim O'Reilly, author and publisher of the ubiquitous O'Reilly series of technology books (http://oreilly.com). Although there is no shortage of definitions of Web…

A Meta-Analysis of Mobile Technology Supporting Individuals with Disabilities

ERIC Educational Resources Information Center

Cumming, Therese M.; Draper Rodríguez, Cathi

2017-01-01

Mobile technology has become ubiquitous in the education and support of individuals with disabilities. While this practice is supported under the Universal Design for Learning framework, research in the area has yet to establish a solid evidence base. The majority of the studies in existence are single-subject design studies with a dearth of…

A Quantitative Examination of User Experience as an Antecedent to Student Perception in Technology Acceptance Modeling

ERIC Educational Resources Information Center

Butler, Rory

2013-01-01

Internet-enabled mobile devices have increased the accessibility of learning content for students. Given the ubiquitous nature of mobile computing technology, a thorough understanding of the acceptance factors that impact a learner's intention to use mobile technology as an augment to their studies is warranted. Student acceptance of mobile…

Considering the Role of Tutoring in Student Engagement: Reflections from a South African University

ERIC Educational Resources Information Center

Faroa, Brendon Duran

2017-01-01

Student engagement has been defined as the extent to which students are engaged in activities that higher education research has shown to be linked with high-quality learning outcomes. The ubiquitous influence of the term "student engagement" has been felt throughout the higher education landscape. This is especially true for South…

Mobile Phones for Teaching and Learning: Implementation and Students' and Teachers' Attitudes

ERIC Educational Resources Information Center

AlTameemy, Farooq

2017-01-01

Mobile phones have become so ubiquitous that they turned into an important part of our life. According to Parsons, mobile subscriptions exceed 6 billion subscriptions globally. Similarly, Ipsos and Verizon (as cited in Tan & El-Bendary) found out that adopting mobile phones with smart technologies has increased fast which also coincided with a…

Deliberate False Provisions: The Use and Usefulness of Models in Learning Academic Writing

ERIC Educational Resources Information Center

Macbeth, Karen P.

2010-01-01

Although models have been a mainstay of academic writing pedagogy for centuries, a recurrent critique has been that they control or limit student writing and misrepresent the affairs they claim to model. These insufficiencies notwithstanding, models are ubiquitous in the ordinary, practical world, and their usefulness to novices can easily go…

Integrating Testing into Software Engineering Courses Supported by a Collaborative Learning Environment

ERIC Educational Resources Information Center

Clarke, Peter J.; Davis, Debra; King, Tariq M.; Pava, Jairo; Jones, Edward L.

2014-01-01

As software becomes more ubiquitous and complex, the cost of software bugs continues to grow at a staggering rate. To remedy this situation, there needs to be major improvement in the knowledge and application of software validation techniques. Although there are several software validation techniques, software testing continues to be one of the…

Teaching and Assessment of Mathematical Principles for Software Correctness Using a Reasoning Concept Inventory

ERIC Educational Resources Information Center

Drachova-Strang, Svetlana V.

2013-01-01

As computing becomes ubiquitous, software correctness has a fundamental role in ensuring the safety and security of the systems we build. To design and develop software correctly according to their formal contracts, CS students, the future software practitioners, need to learn a critical set of skills that are necessary and sufficient for…

New Aspect of Technology Adoption: A Case Study of Students' Self-Made English-Learning Video

ERIC Educational Resources Information Center

Tai, Yaming; Ting, Yu-Liang

2016-01-01

Understanding how students perceive and adopt technology in their daily life is particularly relevant to today's Information and Communication Technology (ICT) environment, in which versatile ICT tools are becoming more and more pervasive, almost ubiquitous in our day-to-day activities. In the context of English as a foreign language, this study…

Background Music and the Learning Environment: Borrowing from other Disciplines

ERIC Educational Resources Information Center

Griffin, Michael

2006-01-01

Human beings have always enjoyed a special relationship with the organisation of audible sound we call music. Through the passage of time, the roles and functions of music have represented manifold expressions to people, and in the present day music is ubiquitous and readily available to all who seek it. Recent advances in digital music technology…

The Theatre of Competing Globally: Disguising Racial Achievement Patterns with Test-Driven Accountabilities

ERIC Educational Resources Information Center

Koyama, Jill P.; Cofield, Candace

2013-01-01

A discourse placing schools in the service of the economy has become ubiquitous in the United States (US), and current educational policies, including No Child Left Behind (NCLB) and movements, such as the Common Core Learning Standards, have been positioned as necessary in an account of global competitiveness. In this hegemonic script,…

Two Viewpoints on the Challenges of ICT in Education: Knowledge-Building Theory vs. a Pragmatist Conception of Learning in Social Action

ERIC Educational Resources Information Center

Kivinen, Osmo; Piiroinen, Tero; Saikkonen, Loretta

2016-01-01

The paper contrasts two different approaches to the educational challenges of the ubiquitous, rapidly developing information and communication technologies (ICT). The first is the constructivist "knowledge building" theory spearheaded by Carl Bereiter and Marlene Scardamalia and recently further developed by Kai Hakkarainen and Sami…

A Modified Laptop Program: Putting the Carts in the Classrooms

ERIC Educational Resources Information Center

Grant, Michael M.; Ross, Steven M.; Wan, Weiping; Potter, Allison; Wilson, Yola

2004-01-01

Four fifth grade classrooms embarked on a modified ubiquitous computing initiative in Fall 2003. Two 15-computer wireless laptop carts were shared among the four classrooms in an effort to integrate technology across the curriculum and affect change in student learning and teacher pedagogy. This initiative?in contrast to other 1:1 programs and…

Communication Problems Resolved through Portal Implementation

ERIC Educational Resources Information Center

Kruse, Tom; Skul, Jeanne; Vaassen, Anne

2005-01-01

Loras College is a technology rich campus with a ubiquitous learning environment and about 1800 laptops in the hands of students, faculty, and staff. With a focus on the incorporation of technology into the curriculum the laptop program has been embraced by the campus since its inception in the fall of 2000. In 2003 a new campus strategic plan…

Large-Scale Multiobjective Static Test Generation for Web-Based Testing with Integer Programming

ERIC Educational Resources Information Center

Nguyen, M. L.; Hui, Siu Cheung; Fong, A. C. M.

2013-01-01

Web-based testing has become a ubiquitous self-assessment method for online learning. One useful feature that is missing from today's web-based testing systems is the reliable capability to fulfill different assessment requirements of students based on a large-scale question data set. A promising approach for supporting large-scale web-based…

Online Role-Plays: Combining Situational and Interactional Authenticity in Foreign Language Learning

ERIC Educational Resources Information Center

Correia Martins, Maria de Lurdes; Moreira, Gillian; Moreira, António

2013-01-01

Role-plays have been almost ubiquitous in foreign language classes and their potential has been widely recognised. In the last decade, the dissemination of Web 2.0 has created a wide range of possibilities for this type of activity, including conducting online role-plays between institutions, the opportunity to combine synchronous and asynchronous…

Examining Learning Styles and Perceived Benefits of Analogical Problem Construction on SQL Knowledge Acquisition

ERIC Educational Resources Information Center

Mills, Robert J.; Dupin-Bryant, Pamela A.; Johnson, John D.; Beaulieu, Tanya Y.

2015-01-01

The demand for Information Systems (IS) graduates with expertise in Structured Query Language (SQL) and database management is vast and projected to increase as "big data" becomes ubiquitous. To prepare students to solve complex problems in a data-driven world, educators must explore instructional strategies to help link prior knowledge…

Focused Ubiquity: A Purposeful Approach to Providing Students with Laptops

ERIC Educational Resources Information Center

Keppler, Mike; Weiler, Spencer C.; Maas, Dan

2014-01-01

Laptops have been introduced into classroom across the nation as a way to improve teaching and learning. In 2007 Littleton Public Schools (LPS) introduced a focused approach to providing all students with a laptop at a significantly lower cost to the traditional ubiquitous laptop programs. The purpose of this study was to document the LPS model…

Do Ubiquitous Laptop Initiatives Decrease the High School Dropout Rate?

ERIC Educational Resources Information Center

Basham, Misty Dawn

2012-01-01

In 2007, Mooresville Graded School District developed a strategic plan to infuse twenty-first-century learning skills into the schools by providing staff and students in grades four through twelve with a laptop computer. In late fall of 2007, Mooresville High School deployed laptops to all certified staff and to the entire student body in the…

Formative Research in Ubiquitous and Virtual Environments in Higher Education

ERIC Educational Resources Information Center

Velandia-Mesa, Cristian; Serrano-Pastor, Francisca-José; Martínez-Segura, María-José

2017-01-01

Academic training in research is fundamental in the quality of higher education and within this context, technological mediation becomes pivotal to reach student-centered learning objectives in any moment and at any time. The findings of a study, the purpose of which has been to evaluate the results of the formative research of two groups of…

Relationships between Access to Mobile Devices, Student Self-Directed Learning, and Achievement

ERIC Educational Resources Information Center

Bartholomew, Scott R.; Reeve, Ed; Veon, Raymond; Goodridge, Wade; Lee, Victor; Nadelson, Louis

2017-01-01

Today's students are growing up in a world of constant connectivity, instant information, and ever-changing technological advancements. The increasingly ubiquitous nature of mobile devices among K-12 students has led many to argue for and against the inclusion of these devices in K-12 classrooms. Arguments in favor cite instant access to…

Connection, Culture, & Creativity: Using Mobile Technology as a Medium for Storytelling in an Intergenerational Classroom

ERIC Educational Resources Information Center

Stacy, Jen; Aguilar, Jodi

2018-01-01

Mobile technology is now ubiquitous in families' lives and, as such, provides fertile ground for organic technology learning embedded within everyday home practices, like oral storytelling. This article explores the experiences of three Latinx women participating in a family digital storytelling program held at an East Los Angeles Head Start…

Improving Exam Performance in Introductory Biology through the Use of Preclass Reading Guides

ERIC Educational Resources Information Center

Lieu, Rebekah; Wong, Ashley; Asefirad, Anahita; Shaffer, Justin F.

2017-01-01

High-structure courses or flipped courses require students to obtain course content before class so that class time can be used for active-learning exercises. While textbooks are used ubiquitously in college biology courses for content dissemination, studies have shown that students frequently do not read their textbooks. To address this issue, we…

Using Unsupervised Learning to Unlock the Potential of Hydrologic Similarity

NASA Astrophysics Data System (ADS)

Chaney, N.; Newman, A. J.

2017-12-01

By clustering environmental data into representative hydrologic response units (HRUs), hydrologic similarity aims to harness the covariance between a system's physical environment and its hydrologic response to create reduced-order models. This is the primary approach through which sub-grid hydrologic processes are represented in large-scale models (e.g., Earth System Models). Although the possibilities of hydrologic similarity are extensive, its practical implementations have been limited to 1-d bins of oversimplistic metrics of hydrologic response (e.g., topographic index)—this is a missed opportunity. In this presentation we will show how unsupervised learning is unlocking the potential of hydrologic similarity; clustering methods enable generalized frameworks to effectively and efficiently harness the petabytes of global environmental data to robustly characterize sub-grid heterogeneity in large-scale models. To illustrate the potential that unsupervised learning has towards advancing hydrologic similarity, we introduce a hierarchical clustering algorithm (HCA) that clusters very high resolution (30-100 meters) elevation, soil, climate, and land cover data to assemble a domain's representative HRUs. These HRUs are then used to parameterize the sub-grid heterogeneity in land surface models; for this study we use the GFDL LM4 model—the land component of the GFDL Earth System Model. To explore HCA and its impacts on the hydrologic system we use a ¼ grid cell in southeastern California as a test site. HCA is used to construct an ensemble of 9 different HRU configurations—each configuration has a different number of HRUs; for each ensemble member LM4 is run between 2002 and 2014 with a 26 year spinup. The analysis of the ensemble of model simulations show that: 1) clustering the high-dimensional environmental data space leads to a robust representation of the role of the physical environment in the coupled water, energy, and carbon cycles at a relatively low number of HRUs; 2) the reduced-order model with around 300 HRUs effectively reproduces the fully distributed model simulation (30 meters) with less than 1/1000 of computational expense; 3) assigning each grid cell of the fully distributed grid to an HRU via HCA enables novel visualization methods for large-scale models—this has significant implications for how these models are applied and evaluated. We will conclude by outlining the potential that this work has within operational prediction systems including numerical weather prediction, Earth System models, and Early Warning systems.

FLUXCOM - Overview and First Synthesis

NASA Astrophysics Data System (ADS)

Jung, M.; Ichii, K.; Tramontana, G.; Camps-Valls, G.; Schwalm, C. R.; Papale, D.; Reichstein, M.; Gans, F.; Weber, U.

2015-12-01

We present a community effort aiming at generating an ensemble of global gridded flux products by upscaling FLUXNET data using an array of different machine learning methods including regression/model tree ensembles, neural networks, and kernel machines. We produced products for gross primary production, terrestrial ecosystem respiration, net ecosystem exchange, latent heat, sensible heat, and net radiation for two experimental protocols: 1) at a high spatial and 8-daily temporal resolution (5 arc-minute) using only remote sensing based inputs for the MODIS era; 2) 30 year records of daily, 0.5 degree spatial resolution by incorporating meteorological driver data. Within each set-up, all machine learning methods were trained with the same input data for carbon and energy fluxes respectively. Sets of input driver variables were derived using an extensive formal variable selection exercise. The performance of the extrapolation capacities of the approaches is assessed with a fully internally consistent cross-validation. We perform cross-consistency checks of the gridded flux products with independent data streams from atmospheric inversions (NEE), sun-induced fluorescence (GPP), catchment water balances (LE, H), satellite products (Rn), and process-models. We analyze the uncertainties of the gridded flux products and for example provide a breakdown of the uncertainty of mean annual GPP originating from different machine learning methods, different climate input data sets, and different flux partitioning methods. The FLUXCOM archive will provide an unprecedented source of information for water, energy, and carbon cycle studies.

Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction.

PubMed

Ak, Ronay; Fink, Olga; Zio, Enrico

2016-08-01

The increasing liberalization of European electricity markets, the growing proportion of intermittent renewable energy being fed into the energy grids, and also new challenges in the patterns of energy consumption (such as electric mobility) require flexible and intelligent power grids capable of providing efficient, reliable, economical, and sustainable energy production and distribution. From the supplier side, particularly, the integration of renewable energy sources (e.g., wind and solar) into the grid imposes an engineering and economic challenge because of the limited ability to control and dispatch these energy sources due to their intermittent characteristics. Time-series prediction of wind speed for wind power production is a particularly important and challenging task, wherein prediction intervals (PIs) are preferable results of the prediction, rather than point estimates, because they provide information on the confidence in the prediction. In this paper, two different machine learning approaches to assess PIs of time-series predictions are considered and compared: 1) multilayer perceptron neural networks trained with a multiobjective genetic algorithm and 2) extreme learning machines combined with the nearest neighbors approach. The proposed approaches are applied for short-term wind speed prediction from a real data set of hourly wind speed measurements for the region of Regina in Saskatchewan, Canada. Both approaches demonstrate good prediction precision and provide complementary advantages with respect to different evaluation criteria.

Harnessing the power of mobile technologies for collaborating, crowdsourcing, and creating

NASA Astrophysics Data System (ADS)

Crompton, H.

2015-12-01

Today's digital technologies can have a powerful influence on teaching and learning. M-learning and u-learning in particular are changing pedagogical practice. Sub categories are rapidly emerging, such as context-aware ubiquitous learning, that involve students learning subject content while immersed in authentic and relevant surroundings. Learning cultures are a nebulous blend of traditions, values, beliefs, and rituals built up over time. For a long time, education has long been conceived as classroom-based and predominantly sedentary (Merchant, 2012). Recent mobile technologies are disrupting this culture in favor of learning that is contextualized, personalized, on demand, and ubiquitous (Crompton, 2013). 21st century students are a different breed than past generations (Prensky, 2001). These students have grown up in a time that has not only altered their perceptions and practices but modified the wiring of the brain through neuroplasticity (Crompton, 2012). Students now cognitively receive information quickly through non-linear methods (Gross, 2003, Oblinger & Oblinger, 2005). They think differently. They also seem to be attached to mobile devices 24/7, although the content of the lesson does not match what they seem to be doing on the mobile devices. This presentation will showcase how to get your students to harness the power of mobile devices for educational purposes. For example, students in your classes will be using devices to collaborate on activities with Google Forms, crowdsourcing the best class questions in Slido, and screencasting thoughts and ideas to share with others with Educreations. These are examples of free apps or Web 2.0 tools that can be used on all the major mobile platforms. Crompton, H. (2013). Mobile learning: New approach, new theory. In Z. L. Berge & L. Y. Muilenburg (Eds.), Handbook of mobile learning (pp. 47-57). Prensky, M. (2001). Digital natives, digital immigrants. Mcb University Press, 9(5). Oblinger, D., & Oblinger, J. (2005). Educating the Net Generation. EDUCAUSE http://www.educause.edu/educatingthenetgen Merchant, G. (2012). Mobile practices in everyday life: Popular digital technologies and schooling revisited. British Journal of Educational Technology, 43(5), 770-782.

Real time flaw detection and characterization in tube through partial least squares and SVR: Application to eddy current testing

NASA Astrophysics Data System (ADS)

Ahmed, Shamim; Miorelli, Roberto; Calmon, Pierre; Anselmi, Nicola; Salucci, Marco

2018-04-01

This paper describes Learning-By-Examples (LBE) technique for performing quasi real time flaw localization and characterization within a conductive tube based on Eddy Current Testing (ECT) signals. Within the framework of LBE, the combination of full-factorial (i.e., GRID) sampling and Partial Least Squares (PLS) feature extraction (i.e., GRID-PLS) techniques are applied for generating a suitable training set in offine phase. Support Vector Regression (SVR) is utilized for model development and inversion during offine and online phases, respectively. The performance and robustness of the proposed GIRD-PLS/SVR strategy on noisy test set is evaluated and compared with standard GRID/SVR approach.

Investigation of Learning Behaviors and Achievement of Vocational High School Students Using an Ubiquitous Physics Tablet PC App

NASA Astrophysics Data System (ADS)

Purba, Siska Wati Dewi; Hwang, Wu-Yuin

2017-06-01

In this study, we designed and developed an app called Ubiquitous-Physics (U-Physics) for mobile devices like tablet PC or smart phones to help students learn the principles behind a simple pendulum in Physics. The unique characteristic of U-Physics is the use of sensors on mobile devices to collect acceleration and velocity data during pendulum swings. The data collected are transformed to facilitate students' understanding of the pendulum time period. U-Physics helped students understand the effects of pendulum mass, length, and angle in relation to its time period. In addition, U-Physics was equipped with an annotation function such as textual annotation to help students interpret and understand the concepts and phenomena of the simple pendulum. U-Physics also generated graphs automatically to demonstrate the time period during which the pendulum was swinging. Results showed a significant positive correlation between interpreting graphs and applying formula. This finding indicated that the ability to interpret graphs has an important role in scientific learning. Therefore, we strongly recommend that physics teachers use graphs to enrich students' information content and understanding and negative correlation between pair coherence and interpreting graphs. It may be that most of the participants (vocational high school students) have limited skill or confidence in physics problem solving; so, they often seek help from teachers or their high-achieving peers. In addition, the findings also indicated that U-Physics can enhance students' achievement during a 3-week time period. We hope that this app can be globally used to learn physics in the future.

The GRID[subscript C] Project: Developing Students' Thinking Skills in a Data-Rich Environment

ERIC Educational Resources Information Center

DeLuca, V. William; Lari, Nasim

2011-01-01

The purpose of this study was to determine the impact of using renewable energy data, obtained from a comprehensive data acquisition system, on improving students' learning and developing their higher-order learning skills. This study used renewable energy data available through a data acquisition system installed and tested by the Green Research…

CMCC Data Distribution Centre

NASA Astrophysics Data System (ADS)

Aloisio, Giovanni; Fiore, Sandro; Negro, A.

2010-05-01

The CMCC Data Distribution Centre (DDC) is the primary entry point (web gateway) to the CMCC. It is a Data Grid Portal providing a ubiquitous and pervasive way to ease data publishing, climate metadata search, datasets discovery, metadata annotation, data access, data aggregation, sub-setting, etc. The grid portal security model includes the use of HTTPS protocol for secure communication with the client (based on X509v3 certificates that must be loaded into the browser) and secure cookies to establish and maintain user sessions. The CMCC DDC is now in a pre-production phase and it is currently used only by internal users (CMCC researchers and climate scientists). The most important component already available in the CMCC DDC is the Search Engine which allows users to perform, through web interfaces, distributed search and discovery activities by introducing one or more of the following search criteria: horizontal extent (which can be specified by interacting with a geographic map), vertical extent, temporal extent, keywords, topics, creation date, etc. By means of this page the user submits the first step of the query process on the metadata DB, then, she can choose one or more datasets retrieving and displaying the complete XML metadata description (from the browser). This way, the second step of the query process is carried out by accessing to a specific XML document of the metadata DB. Finally, through the web interface, the user can access to and download (partially or totally) the data stored on the storage device accessing to OPeNDAP servers and to other available grid storage interfaces. Requests concerning datasets stored in deep storage will be served asynchronously.

NASA Astrophysics Data System (ADS)

Knosp, B.; Neely, S.; Zimdars, P.; Mills, B.; Vance, N.

2007-12-01

The Microwave Limb Sounder (MLS) Science Computing Facility (SCF) stores over 50 terabytes of data, has over 240 computer processing hosts, and 64 users from around the world. These resources are spread over three primary geographical locations - the Jet Propulsion Laboratory (JPL), Raytheon RIS, and New Mexico Institute of Mining and Technology (NMT). A need for a grid network system was identified and defined to solve the problem of users competing for finite, and increasingly scarce, MLS SCF computing resources. Using Sun's Grid Engine software, a grid network was successfully created in a development environment that connected the JPL and Raytheon sites, established master and slave hosts, and demonstrated that transfer queues for jobs can work among multiple clusters in the same grid network. This poster will first describe MLS SCF resources and the lessons that were learned in the design and development phase of this project. It will then go on to discuss the test environment and plans for deployment by highlighting benchmarks and user experiences.

IGI (the Italian Grid initiative) and its impact on the Astrophysics community

NASA Astrophysics Data System (ADS)

Pasian, F.; Vuerli, C.; Taffoni, G.

IGI - the Association for the Italian Grid Infrastructure - has been established as a consortium of 14 different national institutions to provide long term sustainability to the Italian Grid. Its formal predecessor, the Grid.it project, has come to a close in 2006; to extend the benefits of this project, IGI has taken over and acts as the national coordinator for the different sectors of the Italian e-Infrastructure present in EGEE. IGI plans to support activities in a vast range of scientificdisciplines - e.g. Physics, Astrophysics, Biology, Health, Chemistry, Geophysics, Economy, Finance - and any possible extensions to other sectors such as Civil Protection, e-Learning, dissemination in Universities and secondary schools. Among these, the Astrophysics community is active as a user, by porting applications of various kinds, but also as a resource provider in terms of computing power and storage, and as middleware developer.

Smart-Grid Backbone Network Real-Time Delay Reduction via Integer Programming.

PubMed

Pagadrai, Sasikanth; Yilmaz, Muhittin; Valluri, Pratyush

2016-08-01

This research investigates an optimal delay-based virtual topology design using integer linear programming (ILP), which is applied to the current backbone networks such as smart-grid real-time communication systems. A network traffic matrix is applied and the corresponding virtual topology problem is solved using the ILP formulations that include a network delay-dependent objective function and lightpath routing, wavelength assignment, wavelength continuity, flow routing, and traffic loss constraints. The proposed optimization approach provides an efficient deterministic integration of intelligent sensing and decision making, and network learning features for superior smart grid operations by adaptively responding the time-varying network traffic data as well as operational constraints to maintain optimal virtual topologies. A representative optical backbone network has been utilized to demonstrate the proposed optimization framework whose simulation results indicate that superior smart-grid network performance can be achieved using commercial networks and integer programming.

FDD Massive MIMO Channel Estimation With Arbitrary 2D-Array Geometry

NASA Astrophysics Data System (ADS)

Dai, Jisheng; Liu, An; Lau, Vincent K. N.

2018-05-01

This paper addresses the problem of downlink channel estimation in frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems. The existing methods usually exploit hidden sparsity under a discrete Fourier transform (DFT) basis to estimate the cdownlink channel. However, there are at least two shortcomings of these DFT-based methods: 1) they are applicable to uniform linear arrays (ULAs) only, since the DFT basis requires a special structure of ULAs, and 2) they always suffer from a performance loss due to the leakage of energy over some DFT bins. To deal with the above shortcomings, we introduce an off-grid model for downlink channel sparse representation with arbitrary 2D-array antenna geometry, and propose an efficient sparse Bayesian learning (SBL) approach for the sparse channel recovery and off-grid refinement. The main idea of the proposed off-grid method is to consider the sampled grid points as adjustable parameters. Utilizing an in-exact block majorization-minimization (MM) algorithm, the grid points are refined iteratively to minimize the off-grid gap. Finally, we further extend the solution to uplink-aided channel estimation by exploiting the angular reciprocity between downlink and uplink channels, which brings enhanced recovery performance.

Cell Phones in the Classroom: Are We Dialing up Disaster?

ERIC Educational Resources Information Center

Engel, George; Green, Tim

2011-01-01

Over the last decade there has been a rapid diffusion of cellular technology. Though cell phone use began as a business tool, it has now become part of popular culture. Because of the near ubiquitous presence of cell phone technology among teens in the United States, schools are beginning to explore the use of cell phones as a learning tool. This…

Two-Way Text Messaging: An Interactive Mobile Learning Environment in Higher Education

ERIC Educational Resources Information Center

Premadasa, H. K. Salinda; Meegama, R. G. N.

2016-01-01

Short messaging service (SMS) is perhaps the most popular mobile technology prevalent among students in higher education due to its ubiquitous nature and the capability of two-way communication. However, a major limitation in two-way text messaging is sending back a part of received data with the reply message. This limitation results in users of…

Integrating the iPod Touch in K-12 Education: Visions and Vices

ERIC Educational Resources Information Center

Banister, Savilla

2010-01-01

Advocates of ubiquitous computing have long been documenting classroom benefits of one-to-one ratios of students to handheld or laptop computers. The recent sophisticated capabilities of the iPod Touch, iPhone, and iPad have encouraged further speculation on exactly how K-12 teaching and learning might be energized by such devices. This paper…

One More Time: Transforming the Curriculum across the Disciplines through Technology-Based Faculty Development and Writing-Intensive Course Redesign

ERIC Educational Resources Information Center

Shea, Kelly A.; Balkun, Mary McAleer; Nolan, Susan A.; Saccoman, John T.; Wright, Joyce

2006-01-01

This article describes a writing-across-the-curriculum project that was born of one university's commitment to writing and ubiquitous computing. Faculty members across the disciplines, seeing an opportunity to re-introduce WAC on its campus through a curriculum development initiative funded out of an internal teaching, learning, and technology…

ITS, The End of the World as We Know It: Transitioning AIED into a Service-Oriented Ecosystem

ERIC Educational Resources Information Center

Nye, Benjamin D.

2016-01-01

Advanced learning technologies are reaching a new phase of their evolution where they are finally entering mainstream educational contexts, with persistent user bases. However, as AIED scales, it will need to follow recent trends in service-oriented and ubiquitous computing: breaking AIED platforms into distinct services that can be composed for…

Open Badges in Online Learning Environments: Peer Feedback and Formative Assessment as an Engagement Intervention for Promoting Agency

ERIC Educational Resources Information Center

Hatzipanagos, Stylianos; Code, Jillianne

2016-01-01

Student engagement is both a ubiquitous and broadly defined term in education. Engagement is the "conceptual glue" that connects student agency, social influences, organizational structures, and school culture. Of particular interest to the work presented in this paper, is how engagement and agency are interrelated, and the role of this…

Higher Order Thinking in an Online World: Toward a Theory of Web-Mediated Knowledge Synthesis

ERIC Educational Resources Information Center

DeSchryver, Michael

2014-01-01

Background/Context: The rapid pace of technological change, undergirded by near ubiquitous access to the web, is producing a new learning ecology--a new ecology of information, of knowledge, of reading, of teaching, and of thinking. This instant availability of digital resources frees both time and cognitive energy that may be used to facilitate…

How Do School Leaders Navigate ICT Educational Reform? Policy Learning Narratives from a Singapore Context

ERIC Educational Resources Information Center

Chua Reyes, Vicente

2015-01-01

The purpose of this research inquiry focuses on how school leaders "make sense" of educational reform in their local contexts. In order to do this, an exploratory qualitative case study of two schools that took part in policy reform initiatives directed at ubiquitous use of information communication and technology (ICT) in the Singapore…

Using Information and Communication Technologies to Teach and Learn Mathematics in South African Schools: A Snapshot View of Its Impact

ERIC Educational Resources Information Center

Vadachalam, Nalisha; Chimbo, Bester

2017-01-01

Information and communication technologies (ICTs) have become ubiquitous in most people's lives. Yet, within the developing and emerging regions, there are still many who have not fully benefitted from ICTs. This article reports on a research project that focused on investigating the barriers, opportunities and impact that ICTs have on the…

The Timing of Feedback on Mathematics Problem Solving in a Classroom Setting

ERIC Educational Resources Information Center

Fyfe, Emily R.; Rittle-Johnson, Bethany

2015-01-01

Feedback is a ubiquitous learning tool that is theorized to help learners detect and correct their errors. The goal of this study was to examine the effects of feedback in a classroom context for children solving math equivalence problems (problems with operations on both sides of the equal sign). The authors worked with children in 7 second-grade…

The Need for a More Efficient User Notification System in Using Social Networks as Ubiquitous Learning Platforms

ERIC Educational Resources Information Center

Mihci, Can; Donmez, Nesrin Ozdener

2017-01-01

While carrying out formative assessment activities over social network services (SNS), it has been noted that personalized notifications have a high chance of "the important post getting lost" in the notification feed. In order to highlight this problem, this paper compares within a posttest only quasi-experiment, a total of 104 first…

Unpacking (In)formal Learning in an Academic Development Programme: A Mixed-Method Social Network Perspective

ERIC Educational Resources Information Center

Rienties, Bart; Hosein, Anesa

2015-01-01

How and with whom academics develop and maintain formal and informal networks for reflecting on their teaching practice has received limited attention even though academic development (AD) programmes have become an almost ubiquitous feature of higher education. The primary goal of this mixed-method study is to unpack how 114 academics in an AD…

Neural network-based multiple robot simultaneous localization and mapping.

PubMed

Saeedi, Sajad; Paull, Liam; Trentini, Michael; Li, Howard

2011-12-01

In this paper, a decentralized platform for simultaneous localization and mapping (SLAM) with multiple robots is developed. Each robot performs single robot view-based SLAM using an extended Kalman filter to fuse data from two encoders and a laser ranger. To extend this approach to multiple robot SLAM, a novel occupancy grid map fusion algorithm is proposed. Map fusion is achieved through a multistep process that includes image preprocessing, map learning (clustering) using neural networks, relative orientation extraction using norm histogram cross correlation and a Radon transform, relative translation extraction using matching norm vectors, and then verification of the results. The proposed map learning method is a process based on the self-organizing map. In the learning phase, the obstacles of the map are learned by clustering the occupied cells of the map into clusters. The learning is an unsupervised process which can be done on the fly without any need to have output training patterns. The clusters represent the spatial form of the map and make further analyses of the map easier and faster. Also, clusters can be interpreted as features extracted from the occupancy grid map so the map fusion problem becomes a task of matching features. Results of the experiments from tests performed on a real environment with multiple robots prove the effectiveness of the proposed solution.

Frequency Control Using On line Learning Method for Island Smart Grid with EVs and PVs

DTIC Science & Technology

2014-07-06

deviation from PVs are modeled as the power disturbance for the system . A. Case 1: active power disturbance without EVs constraints In this case, there are...IEEE Transactions on, vol. 3, no. 1, pp. 565–577, 2012. [7] M. Datta and T. Senjyu, “Fuzzy control of distributed pv inverters /energy storage systems ...this linearity assumption. In island smart grid with photovoltaics ( PVs ) and EVs, system state parameters and operating conditions are changing

A Functional Genomic Analysis of NF1-Associated Learning Disabilities

DTIC Science & Technology

2008-02-01

glutamate receptor , ionotropic , AMPA3 (alpha 3) 0.082 1425595_at Gabbr1 gamma-aminobutyric acid (GABA-B) receptor , 1 -0.047 1436297_a_at Grina glutamate... receptor , ionotropic , N-methyl D-asparate-associated protein 1 1.096 Synaptic receptor 1436772_at Gria4 Glutamate receptor , ionotropic , AMPA4 (alpha 4...1.276 1450202_at Grin1 glutamate receptor , ionotropic , NMDA1 (zeta 1) 0.010 1450310_at Grid2ip glutamate receptor , ionotropic , delta 2 (Grid2

Optimal Sensor Management and Signal Processing for New EMI Systems

DTIC Science & Technology

2010-09-01

adaptive techniques that would improve the speed of data collection and increase the mobility of a TEMTADS system. Although an active learning technique...data, SIG has simulated the active selection based on the data already collected at Camp SLO. In this setup, the active learning approach was constrained...to work only on a 5x5 grid (corresponding to twenty five transmitters and co-located receivers). The first technique assumes that active learning will

Teaching Research Methods and Statistics in eLearning Environments: Pedagogy, Practical Examples, and Possible Futures

PubMed Central

Rock, Adam J.; Coventry, William L.; Morgan, Methuen I.; Loi, Natasha M.

2016-01-01

Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology. PMID:27014147

Teaching Research Methods and Statistics in eLearning Environments: Pedagogy, Practical Examples, and Possible Futures.

PubMed

Rock, Adam J; Coventry, William L; Morgan, Methuen I; Loi, Natasha M

2016-01-01

Generally, academic psychologists are mindful of the fact that, for many students, the study of research methods and statistics is anxiety provoking (Gal et al., 1997). Given the ubiquitous and distributed nature of eLearning systems (Nof et al., 2015), teachers of research methods and statistics need to cultivate an understanding of how to effectively use eLearning tools to inspire psychology students to learn. Consequently, the aim of the present paper is to discuss critically how using eLearning systems might engage psychology students in research methods and statistics. First, we critically appraise definitions of eLearning. Second, we examine numerous important pedagogical principles associated with effectively teaching research methods and statistics using eLearning systems. Subsequently, we provide practical examples of our own eLearning-based class activities designed to engage psychology students to learn statistical concepts such as Factor Analysis and Discriminant Function Analysis. Finally, we discuss general trends in eLearning and possible futures that are pertinent to teachers of research methods and statistics in psychology.

Satellite -Based Networks for U-Health & U-Learning

NASA Astrophysics Data System (ADS)

Graschew, G.; Roelofs, T. A.; Rakowsky, S.; Schlag, P. M.

2008-08-01

The use of modern Information and Communication Technologies (ICT) as enabling tools for healthcare services (eHealth) introduces new ways of creating ubiquitous access to high-level medical care for all, anytime and anywhere (uHealth). Satellite communication constitutes one of the most flexible methods of broadband communication offering high reliability and cost-effectiveness of connections meeting telemedicine communication requirements. Global networks and the use of computers for educational purposes stimulate and support the development of virtual universities for e-learning. Especially real-time interactive applications can play an important role in tailored and personalised services.

Risk Factors for Smartphone Addiction in Korean Adolescents: Smartphone Use Patterns.

PubMed

Lee, Hyuk; Kim, Jun Won; Choi, Tae Young

2017-10-01

With widespread use of the smartphone, clinical evidence for smartphone addiction remains unclear. Against this background, we analyzed the effect of smartphone use patterns on smartphone addiction in Korean adolescents. A total of 370 middle school students participated. The severity of smartphone addiction was measured through clinical interviews and the Korean Smartphone Addiction Proneness Scale. As a result, 50 (13.5%) were in the smartphone addiction group and 320 (86.5%) were in the healthy group. To investigate the effect of smartphone use patterns on smartphone addiction, we performed self-report questionnaires that assessed the following items: smartphone functions mostly used, purpose of use, problematic use, and parental attitude regarding smartphone use. For smartphone functions mostly used, the addiction group showed significantly higher scores in "Online chat." For the purpose of use, the addiction group showed significantly higher "habitual use," "pleasure," "communication," "games," "stress relief," "ubiquitous trait," and "not to be left out." For problematic use, the addiction group showed significantly higher scores on "preoccupation," "tolerance," "lack of control," "withdrawal," "mood modification," "conflict," "lies," "excessive use," and "loss of interest." For parental attitude regarding children's smartphone use, the addiction group showed significantly higher scores in "parental punishment." Binary logistic regression analysis indicated that "female," "use for learning," "use for ubiquitous trait," "preoccupation," and "conflict" were significantly correlated with smartphone addiction. This study demonstrated that the risk factors for smartphone addiction were being female, preoccupation, conflict, and use for ubiquitous trait; the protective factor was use for learning. Future studies will be required to reveal the additional clinical evidence of the disease entity for smartphone addiction. © 2017 The Korean Academy of Medical Sciences.

Teaching Addition and Subtraction Operations with Schematic Place-Value Learning Aids & the Impact on Arithmetic Competency

ERIC Educational Resources Information Center

Kyriakidou-Christofidou, Athina

2016-01-01

The present mixed-methods quasi-experimental study (embedding a case study and a mixed factorial within-between ANOVA test), conducted in a private English school in Limassol, Cyprus, investigated how the use of the schematic learning aids (researcher-made color-coded flash-cards and grids) influence year-2 children's ability to read, write and…

QoS Differential Scheduling in Cognitive-Radio-Based Smart Grid Networks: An Adaptive Dynamic Programming Approach.

PubMed

Yu, Rong; Zhong, Weifeng; Xie, Shengli; Zhang, Yan; Zhang, Yun

2016-02-01

As the next-generation power grid, smart grid will be integrated with a variety of novel communication technologies to support the explosive data traffic and the diverse requirements of quality of service (QoS). Cognitive radio (CR), which has the favorable ability to improve the spectrum utilization, provides an efficient and reliable solution for smart grid communications networks. In this paper, we study the QoS differential scheduling problem in the CR-based smart grid communications networks. The scheduler is responsible for managing the spectrum resources and arranging the data transmissions of smart grid users (SGUs). To guarantee the differential QoS, the SGUs are assigned to have different priorities according to their roles and their current situations in the smart grid. Based on the QoS-aware priority policy, the scheduler adjusts the channels allocation to minimize the transmission delay of SGUs. The entire transmission scheduling problem is formulated as a semi-Markov decision process and solved by the methodology of adaptive dynamic programming. A heuristic dynamic programming (HDP) architecture is established for the scheduling problem. By the online network training, the HDP can learn from the activities of primary users and SGUs, and adjust the scheduling decision to achieve the purpose of transmission delay minimization. Simulation results illustrate that the proposed priority policy ensures the low transmission delay of high priority SGUs. In addition, the emergency data transmission delay is also reduced to a significantly low level, guaranteeing the differential QoS in smart grid.

Using Palm Technology in Participatory Simulations of Complex Systems: A New Take on Ubiquitous and Accessible Mobile Computing

NASA Astrophysics Data System (ADS)

Klopfer, Eric; Yoon, Susan; Perry, Judy

2005-09-01

This paper reports on teachers' perceptions of the educational affordances of a handheld application called Participatory Simulations. It presents evidence from five cases representing each of the populations who work with these computational tools. Evidence across multiple data sources yield similar results to previous research evaluations of handheld activities with respect to enhancing motivation, engagement and self-directed learning. Three additional themes are discussed that provide insight into understanding curricular applicability of Participatory Simulations that suggest a new take on ubiquitous and accessible mobile computing. These themes generally point to the multiple layers of social and cognitive flexibility intrinsic to their design: ease of adaptation to subject-matter content knowledge and curricular integration; facility in attending to teacher-individualized goals; and encouraging the adoption of learner-centered strategies.

Analysis and Reduction of Complex Networks Under Uncertainty.

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

Ghanem, Roger G

2014-07-31

This effort was a collaboration with Youssef Marzouk of MIT, Omar Knio of Duke University (at the time at Johns Hopkins University) and Habib Najm of Sandia National Laboratories. The objective of this effort was to develop the mathematical and algorithmic capacity to analyze complex networks under uncertainty. Of interest were chemical reaction networks and smart grid networks. The statements of work for USC focused on the development of stochastic reduced models for uncertain networks. The USC team was led by Professor Roger Ghanem and consisted of one graduate student and a postdoc. The contributions completed by the USC teammore » consisted of 1) methodology and algorithms to address the eigenvalue problem, a problem of significance in the stability of networks under stochastic perturbations, 2) methodology and algorithms to characterize probability measures on graph structures with random flows. This is an important problem in characterizing random demand (encountered in smart grid) and random degradation (encountered in infrastructure systems), as well as modeling errors in Markov Chains (with ubiquitous relevance !). 3) methodology and algorithms for treating inequalities in uncertain systems. This is an important problem in the context of models for material failure and network flows under uncertainty where conditions of failure or flow are described in the form of inequalities between the state variables.« less

The Evolution of the Internet Community and the"Yet-to-Evolve" Smart Grid Community: Parallels and Lessons-to-be-Learned

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

McParland, Charles

The Smart Grid envisions a transformed US power distribution grid that enables communicating devices, under human supervision, to moderate loads and increase overall system stability and security. This vision explicitly promotes increased participation from a community that, in the past, has had little involvement in power grid operations -the consumer. The potential size of this new community and its member's extensive experience with the public Internet prompts an analysis of the evolution and current state of the Internet as a predictor for best practices in the architectural design of certain portions of the Smart Grid network. Although still evolving, themore » vision of the Smart Grid is that of a community of communicating and cooperating energy related devices that can be directed to route power and modulate loads in pursuit of an integrated, efficient and secure electrical power grid. The remaking of the present power grid into the Smart Grid is considered as fundamentally transformative as previous developments such as modern computing technology and high bandwidth data communications. However, unlike these earlier developments, which relied on the discovery of critical new technologies (e.g. the transistor or optical fiber transmission lines), the technologies required for the Smart Grid currently exist and, in many cases, are already widely deployed. In contrast to other examples of technical transformations, the path (and success) of the Smart Grid will be determined not by its technology, but by its system architecture. Fortunately, we have a recent example of a transformative force of similar scope that shares a fundamental dependence on our existing communications infrastructure - namely, the Internet. We will explore several ways in which the scale of the Internet and expectations of its users have shaped the present Internet environment. As the presence of consumers within the Smart Grid increases, some experiences from the early growth of the Internet are expected to be informative and pertinent.« less

Cross Validation Through Two-Dimensional Solution Surface for Cost-Sensitive SVM.

PubMed

Gu, Bin; Sheng, Victor S; Tay, Keng Yeow; Romano, Walter; Li, Shuo

2017-06-01

Model selection plays an important role in cost-sensitive SVM (CS-SVM). It has been proven that the global minimum cross validation (CV) error can be efficiently computed based on the solution path for one parameter learning problems. However, it is a challenge to obtain the global minimum CV error for CS-SVM based on one-dimensional solution path and traditional grid search, because CS-SVM is with two regularization parameters. In this paper, we propose a solution and error surfaces based CV approach (CV-SES). More specifically, we first compute a two-dimensional solution surface for CS-SVM based on a bi-parameter space partition algorithm, which can fit solutions of CS-SVM for all values of both regularization parameters. Then, we compute a two-dimensional validation error surface for each CV fold, which can fit validation errors of CS-SVM for all values of both regularization parameters. Finally, we obtain the CV error surface by superposing K validation error surfaces, which can find the global minimum CV error of CS-SVM. Experiments are conducted on seven datasets for cost sensitive learning and on four datasets for imbalanced learning. Experimental results not only show that our proposed CV-SES has a better generalization ability than CS-SVM with various hybrids between grid search and solution path methods, and than recent proposed cost-sensitive hinge loss SVM with three-dimensional grid search, but also show that CV-SES uses less running time.

Reinforcement learning techniques for controlling resources in power networks

NASA Astrophysics Data System (ADS)

Kowli, Anupama Sunil

As power grids transition towards increased reliance on renewable generation, energy storage and demand response resources, an effective control architecture is required to harness the full functionalities of these resources. There is a critical need for control techniques that recognize the unique characteristics of the different resources and exploit the flexibility afforded by them to provide ancillary services to the grid. The work presented in this dissertation addresses these needs. Specifically, new algorithms are proposed, which allow control synthesis in settings wherein the precise distribution of the uncertainty and its temporal statistics are not known. These algorithms are based on recent developments in Markov decision theory, approximate dynamic programming and reinforcement learning. They impose minimal assumptions on the system model and allow the control to be "learned" based on the actual dynamics of the system. Furthermore, they can accommodate complex constraints such as capacity and ramping limits on generation resources, state-of-charge constraints on storage resources, comfort-related limitations on demand response resources and power flow limits on transmission lines. Numerical studies demonstrating applications of these algorithms to practical control problems in power systems are discussed. Results demonstrate how the proposed control algorithms can be used to improve the performance and reduce the computational complexity of the economic dispatch mechanism in a power network. We argue that the proposed algorithms are eminently suitable to develop operational decision-making tools for large power grids with many resources and many sources of uncertainty.

Confessions of a Librarian or: How I Learned to Stop Worrying and Love Google

ERIC Educational Resources Information Center

Gunnels, Claire B.; Sisson, Amy

2009-01-01

Have you ever stopped to think about life before Google? We will make the argument that Google is the first manifestation of Web 2.0, of the power and promise of social networking and the ubiquitous wiki. We will discuss the positive influence of Google and how Google and other social networking tools afford librarians leading-edge technologies…

A Cross-Cultural Examination of the Intention to Use Technology between Singaporean and Malaysian Pre-Service teachers: An Application of the Technology Acceptance Model (TAM)

ERIC Educational Resources Information Center

Teo, Timothy; Luan, Wong Su; Sing, Chai Ching

2008-01-01

As computers becomes more ubiquitous in our everyday lives, educational settings are being transformed where educators and students are expected to teach and learn, using computers (Lee, 2003). This study, therefore, explored pre-service teachers' self reported future intentions to use computers in Singapore and Malaysia. A survey methodology was…

Meditations on Pleasure: John Ruskin and the Value of Art in the Classroom

ERIC Educational Resources Information Center

Scully, Sean

2017-01-01

Life is multiplex; information is ubiquitous. We do our best to learn, but we struggle not to forget. The demand to "know" is powerful; the experience of living can often feel overwhelming. We desire a better way of looking at the world around us. John Ruskin reminds us that it is a good thing to start small. He asks us to…

Developing Tools for Assessing and Using Commercially Available Reading Software Programs to Promote the Development of Early Reading Skills in Children

ERIC Educational Resources Information Center

Wood, Eileen; Gottardo, Alexandra; Grant, Amy; Evans, Mary Ann; Phillips, Linda; Savage, Robert

2012-01-01

As computers become an increasingly ubiquitous part of young children's lives there is a need to examine how best to harness digital technologies to promote learning in early childhood education contexts. The development of emergent literacy skills is 1 domain for which numerous software programs are available for young learners. In this study, we…

How Are We Approaching Data-Informed Practice? Development of the "Survey of Data Use and Professional Learning"

ERIC Educational Resources Information Center

Jimerson, Jo Beth

2016-01-01

As in international schooling contexts, talk about data-driven practice has become ubiquitous in schooling dialogues in the USA, and with the pending reauthorization of the No Child Left Behind Act (the main driver of increased data use in American schools), educators in the USA should expect even greater calls for formalized data use. Yet, the…

Improving Accuracy and Temporal Resolution of Learning Curve Estimation for within- and across-Session Analysis

PubMed Central

Tabelow, Karsten; König, Reinhard; Polzehl, Jörg

2016-01-01

Estimation of learning curves is ubiquitously based on proportions of correct responses within moving trial windows. Thereby, it is tacitly assumed that learning performance is constant within the moving windows, which, however, is often not the case. In the present study we demonstrate that violations of this assumption lead to systematic errors in the analysis of learning curves, and we explored the dependency of these errors on window size, different statistical models, and learning phase. To reduce these errors in the analysis of single-subject data as well as on the population level, we propose adequate statistical methods for the estimation of learning curves and the construction of confidence intervals, trial by trial. Applied to data from an avoidance learning experiment with rodents, these methods revealed performance changes occurring at multiple time scales within and across training sessions which were otherwise obscured in the conventional analysis. Our work shows that the proper assessment of the behavioral dynamics of learning at high temporal resolution can shed new light on specific learning processes, and, thus, allows to refine existing learning concepts. It further disambiguates the interpretation of neurophysiological signal changes recorded during training in relation to learning. PMID:27303809

Unstructured-grid methods development: Lessons le arned

NASA Technical Reports Server (NTRS)

Batina, John T.

1991-01-01

The development is summarized of unstructured grid methods for the solution of the equations of fluid flow and some of the lessons learned are shared. The 3-D Euler equations are solved, including spatial discretizations, temporal discretizations, and boundary conditions. An example calculation with an upwind implicit method using a CFL (Courant Friedricks Lewy) number of infinity is presented for the Boeing 747 aircraft. The results obtained in less than one hour of CPU time on a Cray-2 computer, thus demonstrating the speed and robustness of the present capability.

Semantically Interoperable XML Data

PubMed Central

Vergara-Niedermayr, Cristobal; Wang, Fusheng; Pan, Tony; Kurc, Tahsin; Saltz, Joel

2013-01-01

XML is ubiquitously used as an information exchange platform for web-based applications in healthcare, life sciences, and many other domains. Proliferating XML data are now managed through latest native XML database technologies. XML data sources conforming to common XML schemas could be shared and integrated with syntactic interoperability. Semantic interoperability can be achieved through semantic annotations of data models using common data elements linked to concepts from ontologies. In this paper, we present a framework and software system to support the development of semantic interoperable XML based data sources that can be shared through a Grid infrastructure. We also present our work on supporting semantic validated XML data through semantic annotations for XML Schema, semantic validation and semantic authoring of XML data. We demonstrate the use of the system for a biomedical database of medical image annotations and markups. PMID:25298789

A deep learning-based reconstruction of cosmic ray-induced air showers

NASA Astrophysics Data System (ADS)

Erdmann, M.; Glombitza, J.; Walz, D.

2018-01-01

We describe a method of reconstructing air showers induced by cosmic rays using deep learning techniques. We simulate an observatory consisting of ground-based particle detectors with fixed locations on a regular grid. The detector's responses to traversing shower particles are signal amplitudes as a function of time, which provide information on transverse and longitudinal shower properties. In order to take advantage of convolutional network techniques specialized in local pattern recognition, we convert all information to the image-like grid of the detectors. In this way, multiple features, such as arrival times of the first particles and optimized characterizations of time traces, are processed by the network. The reconstruction quality of the cosmic ray arrival direction turns out to be competitive with an analytic reconstruction algorithm. The reconstructed shower direction, energy and shower depth show the expected improvement in resolution for higher cosmic ray energy.

Building environment analysis based on temperature and humidity for smart energy systems.

PubMed

Yun, Jaeseok; Won, Kwang-Ho

2012-10-01

In this paper, we propose a new HVAC (heating, ventilation, and air conditioning) control strategy as part of the smart energy system that can balance occupant comfort against building energy consumption using ubiquitous sensing and machine learning technology. We have developed ZigBee-based wireless sensor nodes and collected realistic temperature and humidity data during one month from a laboratory environment. With the collected data, we have established a building environment model using machine learning algorithms, which can be used to assess occupant comfort level. We expect the proposed HVAC control strategy will be able to provide occupants with a consistently comfortable working or home environment.

What is the context of contextual cueing?

PubMed

Makovski, Tal

2016-12-01

People have a powerful ability to extract regularities from noisy environments and to utilize this knowledge to assist in visual search. Extensive research has shown that this ability, termed contextual cueing (CC), is robust and ubiquitous, but it is still unclear what exactly is the context that is being leaned. Researchers have typically focused on how people learn spatial configuration regularities and have hence used simplified, meaningless search stimuli. Here, observers performed visual search tasks using images of real-world objects. The results revealed that, contrary to past findings, the repetition of either arbitrary spatial information or identity information was not sufficient to produce context learning. Instead, learning was found only when both types of information were repeated together. These results were further replicated in hybrid search tasks, in which subjects looked for multiple target templates. Together, these data suggest that CC is more limited than typically assumed, yet this learning is highly robust.

"Mobile Nurse" platform for ubiquitous medicine.

PubMed

Struzik, Z R; Yoshiuchi, K; Sone, M; Ishikawa, T; Kikuchi, H; Kumano, H; Watsuji, T; Natelson, B H; Yamamoto, Y

2007-01-01

We introduce "Mobile Nurse" (MN) - an emerging platform for the practice of ubiquitous medicine. By implementing in a dynamic setting of daily life the patient care traditionally provided by the clinical nurses on duty, MN aims at integral data collection and shortening the response time to the patient. MN is also capable of intelligent interaction with the patient and is able to learn from the patient's behavior and disease sign evaluation for improved personalized treatment. In this paper, we outline the most essential concepts around the hardware, software and methodological designs of MN. We provide an example of the implementation, and elaborate on the possible future impact on medical practice and biomedical science research. The main innovation of MN, setting it apart from current tele-medicine systems, is the ability to integrate the patient's signs and symptoms on site, providing medical professionals with powerful tools to elucidate disease mechanisms, to make proper diagnoses and to prescribe treatment.

SUPAR: Smartphone as a ubiquitous physical activity recognizer for u-healthcare services.

PubMed

Fahim, Muhammad; Lee, Sungyoung; Yoon, Yongik

2014-01-01

Current generation smartphone can be seen as one of the most ubiquitous device for physical activity recognition. In this paper we proposed a physical activity recognizer to provide u-healthcare services in a cost effective manner by utilizing cloud computing infrastructure. Our model is comprised on embedded triaxial accelerometer of the smartphone to sense the body movements and a cloud server to store and process the sensory data for numerous kind of services. We compute the time and frequency domain features over the raw signals and evaluate different machine learning algorithms to identify an accurate activity recognition model for four kinds of physical activities (i.e., walking, running, cycling and hopping). During our experiments we found Support Vector Machine (SVM) algorithm outperforms for the aforementioned physical activities as compared to its counterparts. Furthermore, we also explain how smartphone application and cloud server communicate with each other.

Reaching for the cloud: on the lessons learned from grid computing technology transfer process to the biomedical community.

PubMed

Mohammed, Yassene; Dickmann, Frank; Sax, Ulrich; von Voigt, Gabriele; Smith, Matthew; Rienhoff, Otto

2010-01-01

Natural scientists such as physicists pioneered the sharing of computing resources, which led to the creation of the Grid. The inter domain transfer process of this technology has hitherto been an intuitive process without in depth analysis. Some difficulties facing the life science community in this transfer can be understood using the Bozeman's "Effectiveness Model of Technology Transfer". Bozeman's and classical technology transfer approaches deal with technologies which have achieved certain stability. Grid and Cloud solutions are technologies, which are still in flux. We show how Grid computing creates new difficulties in the transfer process that are not considered in Bozeman's model. We show why the success of healthgrids should be measured by the qualified scientific human capital and the opportunities created, and not primarily by the market impact. We conclude with recommendations that can help improve the adoption of Grid and Cloud solutions into the biomedical community. These results give a more concise explanation of the difficulties many life science IT projects are facing in the late funding periods, and show leveraging steps that can help overcoming the "vale of tears".

Archiving Student Solutions with Tablet PCs in a Discussion-based Introductory Physics Class

NASA Astrophysics Data System (ADS)

Price, Edward; De Leone, Charles

2008-10-01

Many active learning based physics courses use whiteboards as a space for groups to respond to prompts based on short lab activities, problem solving, or inquiry-oriented activities. Whiteboards are volatile; once erased, the material is lost. Tablet PCs and software such as Ubiquitous Presenter can be used as digital whiteboards in active learning classes. This enables automatic capture and archiving of student work for online review by students, instructors, and researchers. We studied the use of digital whiteboards in an active-learning introductory physics course at California State University, San Marcos. In this paper we examine the archival features of digital whiteboards', and characterize the use of these features by students and instructors, and explore possible uses for researchers and curriculum developers.

Collegial Activity Learning between Heterogeneous Sensors.

PubMed

Feuz, Kyle D; Cook, Diane J

2017-11-01

Activity recognition algorithms have matured and become more ubiquitous in recent years. However, these algorithms are typically customized for a particular sensor platform. In this paper we introduce PECO, a Personalized activity ECOsystem, that transfers learned activity information seamlessly between sensor platforms in real time so that any available sensor can continue to track activities without requiring its own extensive labeled training data. We introduce a multi-view transfer learning algorithm that facilitates this information handoff between sensor platforms and provide theoretical performance bounds for the algorithm. In addition, we empirically evaluate PECO using datasets that utilize heterogeneous sensor platforms to perform activity recognition. These results indicate that not only can activity recognition algorithms transfer important information to new sensor platforms, but any number of platforms can work together as colleagues to boost performance.

Oceanic eddy detection and lifetime forecast using machine learning methods

NASA Astrophysics Data System (ADS)

Ashkezari, Mohammad D.; Hill, Christopher N.; Follett, Christopher N.; Forget, Gaël.; Follows, Michael J.

2016-12-01

We report a novel altimetry-based machine learning approach for eddy identification and characterization. The machine learning models use daily maps of geostrophic velocity anomalies and are trained according to the phase angle between the zonal and meridional components at each grid point. The trained models are then used to identify the corresponding eddy phase patterns and to predict the lifetime of a detected eddy structure. The performance of the proposed method is examined at two dynamically different regions to demonstrate its robust behavior and region independency.

Growing a hypercubical output space in a self-organizing feature map.

PubMed

Bauer, H U; Villmann, T

1997-01-01

Neural maps project data from an input space onto a neuron position in a (often lower dimensional) output space grid in a neighborhood preserving way, with neighboring neurons in the output space responding to neighboring data points in the input space. A map-learning algorithm can achieve an optimal neighborhood preservation only, if the output space topology roughly matches the effective structure of the data in the input space. We here present a growth algorithm, called the GSOM or growing self-organizing map, which enhances a widespread map self-organization process, Kohonen's self-organizing feature map (SOFM), by an adaptation of the output space grid during learning. The GSOM restricts the output space structure to the shape of a general hypercubical shape, with the overall dimensionality of the grid and its extensions along the different directions being subject of the adaptation. This constraint meets the demands of many larger information processing systems, of which the neural map can be a part. We apply our GSOM-algorithm to three examples, two of which involve real world data. Using recently developed methods for measuring the degree of neighborhood preservation in neural maps, we find the GSOM-algorithm to produce maps which preserve neighborhoods in a nearly optimal fashion.

Impaired learning of event frequencies in tone deafness

PubMed Central

Loui, Psyche; Schlaug, Gottfried

2013-01-01

Musical knowledge is ubiquitous, effortless, and implicitly acquired all over the world via exposure to musical materials in one’s culture. In contrast, one group of individuals who show insensitivity to music, specifically the inability to discriminate pitches and melodies, is the tone-deaf. In this study, we asked whether difficulties in pitch and melody discrimination among the tone-deaf could be related to learning difficulties, and, if so, what processes of learning might be affected in the tone-deaf. We investigated the learning of frequency information in a new musical system in tone-deaf individuals and matched controls. Results showed significantly impaired learning abilities in frequency matching in the tone-deaf. This impairment was positively correlated with the severity of tone deafness as assessed by the Montreal Battery for Evaluation of Amusia. Taken together, the results suggest that tone deafness is characterized by an impaired ability to acquire frequency information from pitched materials in the sound environment. PMID:22524379

Impaired learning of event frequencies in tone deafness.

PubMed

Loui, Psyche; Schlaug, Gottfried

2012-04-01

Musical knowledge is ubiquitous, effortless, and implicitly acquired all over the world via exposure to musical materials in one's culture. In contrast, one group of individuals who show insensitivity to music, specifically the inability to discriminate pitches and melodies, is the tone-deaf. In this study, we asked whether difficulties in pitch and melody discrimination among the tone-deaf could be related to learning difficulties, and, if so, what processes of learning might be affected in the tone-deaf. We investigated the learning of frequency information in a new musical system in tone-deaf individuals and matched controls. Results showed significantly impaired learning abilities in frequency matching in the tone-deaf. This impairment was positively correlated with the severity of tone deafness as assessed by the Montreal Battery for Evaluation of Amusia. Taken together, the results suggest that tone deafness is characterized by an impaired ability to acquire frequency information from pitched materials in the sound environment. © 2012 New York Academy of Sciences.

Does technology really enhance nurse education?

PubMed

Goodchild, Tim

2018-07-01

Technology has clearly impacted upon our working lives, and the purpose of this paper is to offer a critical insight into the ubiquitous presence of technology in nurse education. This paper argues that technology enhanced learning is predicated on the promise of potential and purported transformation of teaching and learning. It suggests that there is a lack of critical engagement in the academic field of technology enhanced learning, and adds a critical voice to some of the emerging arguments in this area. There is also a lack of systematic evidence supporting the enhancement offered by technology, and yet the technology enhanced project continues to persist. The discourse surrounding technology enhanced learning has become so dominant, so pervasive, that those of us within it can no longer see alternatives. But there are alternatives, and this paper argues that we need to challenge the dominance of technology enhanced learning, and become aware of its contingent nature. Copyright © 2018 Elsevier Ltd. All rights reserved.

Development of a Dynamic Operational Scheduling Algorithm for an Independent Micro-Grid with Renewable Energy

NASA Astrophysics Data System (ADS)

Obara, Shin'ya

A micro-grid with the capacity for sustainable energy is expected to be a distributed energy system that exhibits quite a small environmental impact. In an independent micro-grid, “green energy,” which is typically thought of as unstable, can be utilized effectively by introducing a battery. In the past study, the production-of-electricity prediction algorithm (PAS) of the solar cell was developed. In PAS, a layered neural network is made to learn based on past weather data and the operation plan of the compound system of a solar cell and other energy systems was examined using this prediction algorithm. In this paper, a dynamic operational scheduling algorithm is developed using a neural network (PAS) and a genetic algorithm (GA) to provide predictions for solar cell power output. We also do a case study analysis in which we use this algorithm to plan the operation of a system that connects nine houses in Sapporo to a micro-grid composed of power equipment and a polycrystalline silicon solar cell. In this work, the relationship between the accuracy of output prediction of the solar cell and the operation plan of the micro-grid was clarified. Moreover, we found that operating the micro-grid according to the plan derived with PAS was far superior, in terms of equipment hours of operation, to that using past average weather data.

Altered Actions of Memantine and NMDA-Induced Currents in a New Grid2-Deleted Mouse Line

PubMed Central

Kumagai, Ayako; Fujita, Akira; Yokoyama, Tomoki; Nonobe, Yuki; Hasaba, Yasuhiro; Sasaki, Tsutomu; Itoh, Yumi; Koura, Minako; Suzuki, Osamu; Adachi, Shigeki; Ryo, Haruko; Kohara, Arihiro; Tripathi, Lokesh P.; Sanosaka, Masato; Fukushima, Toshiki; Takahashi, Hiroyuki; Kitagawa, Kazuo; Nagaoka, Yasuo; Kawahara, Hidehisa; Mizuguchi, Kenji; Nomura, Taisei; Matsuda, Junichiro; Tabata, Toshihide; Takemori, Hiroshi

2014-01-01

Memantine is a non-competitive antagonist of the N-methyl-d-aspartate (NMDA) receptor, and is an approved drug for the treatment of moderate-to-severe Alzheimer’s disease. We identified a mouse strain with a naturally occurring mutation and an ataxic phenotype that presents with severe leg cramps. To investigate the phenotypes of these mutant mice, we screened several phenotype-modulating drugs and found that memantine (10 mg/kg) disrupted the sense of balance in the mutants. Moreover, the mutant mice showed an attenuated optokinetic response (OKR) and impaired OKR learning, which was also observed in wild-type mice treated with memantine. Microsatellite analyses indicated that the Grid2 gene-deletion is responsible for these phenotypes. Patch-clamp analysis showed a relatively small change in NMDA-dependent current in cultured granule cells from Grid2 gene-deleted mice, suggesting that GRID2 is important for correct NMDA receptor function. In general, NMDA receptors are activated after the activation of non-NMDA receptors, such as AMPA receptors, and AMPA receptor dysregulation also occurs in Grid2 mutant mice. Indeed, the AMPA treatment enhanced memantine susceptibility in wild-type mice, which was indicated by balance sense and OKR impairments. The present study explores a new role for GRID2 and highlights the adverse effects of memantine in different genetic backgrounds. PMID:25513882

What Is Instrumented Learning? Part 1

ERIC Educational Resources Information Center

Blake, Robert; Mouton, Jane

1972-01-01

Although article is directed specifically towards improving sales techniques through self evaluation, it discusses various autoinstructional aids that could be applied to other fields. These include self-ranking against an objectives" grid, forced and multiple choice quizzes and the sentence-completion approach. (PD)

The Web-based CanMEDS Resident Learning Portfolio Project (WEBCAM): how we got started.

PubMed

Glen, Peter; Balaa, Fady; Momoli, Franco; Martin, Louise; Found, Dorothy; Arnaout, Angel

2016-12-01

The CanMEDS framework is ubiquitous in Canadian postgraduate medical education; however, training programs do not have a universal method of assessing competence. We set out to develop a novel portfolio that allowed trainees to generate a longitudinal record of their training and development within the framework. The portfolio provided an objective means for the residency program director to document and evaluate resident progress within the CanMEDS roles.

Wavelet-enabled progressive data Access and Storage Protocol (WASP)

NASA Astrophysics Data System (ADS)

Clyne, J.; Frank, L.; Lesperance, T.; Norton, A.

2015-12-01

Current practices for storing numerical simulation outputs hail from an era when the disparity between compute and I/O performance was not as great as it is today. The memory contents for every sample, computed at every grid point location, are simply saved at some prescribed temporal frequency. Though straightforward, this approach fails to take advantage of the coherency in neighboring grid points that invariably exists in numerical solutions to mathematical models. Exploiting such coherence is essential to digital multimedia; DVD-Video, digital cameras, streaming movies and audio are all possible today because of transform-based compression schemes that make substantial reductions in data possible by taking advantage of the strong correlation between adjacent samples in both space and time. Such methods can also be exploited to enable progressive data refinement in a manner akin to that used in ubiquitous digital mapping applications: views from far away are shown in coarsened detail to provide context, and can be progressively refined as the user zooms in on a localized region of interest. The NSF funded WASP project aims to provide a common, NetCDF-compatible software framework for supporting wavelet-based, multi-scale, progressive data, enabling interactive exploration of large data sets for the geoscience communities. This presentation will provide an overview of this work in progress to develop community cyber-infrastructure for the efficient analysis of very large data sets.

Stability of stagnation via an expanding accretion shock wave

NASA Astrophysics Data System (ADS)

Velikovich, A. L.; Murakami, M.; Taylor, B. D.; Giuliani, J. L.; Zalesak, S. T.; Iwamoto, Y.

2016-05-01

Stagnation of a cold plasma streaming to the center or axis of symmetry via an expanding accretion shock wave is ubiquitous in inertial confinement fusion (ICF) and high-energy-density plasma physics, the examples ranging from plasma flows in x-ray-generating Z pinches [Maron et al., Phys. Rev. Lett. 111, 035001 (2013)] to the experiments in support of the recently suggested concept of impact ignition in ICF [Azechi et al., Phys. Rev. Lett. 102, 235002 (2009); Murakami et al., Nucl. Fusion 54, 054007 (2014)]. Some experimental evidence indicates that stagnation via an expanding shock wave is stable, but its stability has never been studied theoretically. We present such analysis for the stagnation that does not involve a rarefaction wave behind the expanding shock front and is described by the classic ideal-gas Noh solution in spherical and cylindrical geometry. In either case, the stagnated flow has been demonstrated to be stable, initial perturbations exhibiting a power-law, oscillatory or monotonic, decay with time for all the eigenmodes. This conclusion has been supported by our simulations done both on a Cartesian grid and on a curvilinear grid in spherical coordinates. Dispersion equation determining the eigenvalues of the problem and explicit formulas for the eigenfunction profiles corresponding to these eigenvalues are presented, making it possible to use the theory for hydrocode verification in two and three dimensions.

Massive separation around bluff bodies: comparisons among different cfd solvers and turbulence models

NASA Astrophysics Data System (ADS)

Armenio, Vincenzo; Fakhari, Ahmad; Petronio, Andrea; Padovan, Roberta; Pittaluga, Chiara; Caprino, Giovanni

2015-11-01

Massive flow separation is ubiquitous in industrial applications, ruling drag and hydrodynamic noise. In spite of considerable efforts, its numerical prediction still represents a challenge for CFD models in use in engineering. Aside commercial software, over the latter years the opensource software OpenFOAMR (OF) has emerged as a valid tool for prediction of complex industrial flows. In the present work, we simulate two flows representative of a class of situations occurring in industrial problems: the flow around sphere and that around a wall-mounted square cylinder at Re = 10000 . We compare the performance two different tools, namely OF and ANSYS CFX 15.0 (CFX) using different unstructured grids and turbulence models. The grids have been generated using SNAPPYHEXMESH and ANSYS ICEM CFD 15.0 with different near wall resolutions. The codes have been run in a RANS mode using k - ɛ model (OF) and SST - k - ω (CFX) with and without wall-layer models. OF has been also used in LES, WMLES and DES mode. Regarding the sphere, RANS models were not able to catch separation, while good prediction of separation and distribution of stresses over the surface were obtained using LES, WMLES and DES. Results for the second test case are currently under analysis. Financial support from COSMO ``cfd open source per opera mortta'' PAR FSC 2007-2013, Friuli Venezia Giulia.

Stability of stagnation via an expanding accretion shock wave

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

Velikovich, A. L.; Giuliani, J. L.; Murakami, M.

Stagnation of a cold plasma streaming to the center or axis of symmetry via an expanding accretion shock wave is ubiquitous in inertial confinement fusion (ICF) and high-energy-density plasma physics, the examples ranging from plasma flows in x-ray-generating Z pinches [Maron et al., Phys. Rev. Lett. 111, 035001 (2013)] to the experiments in support of the recently suggested concept of impact ignition in ICF [Azechi et al., Phys. Rev. Lett. 102, 235002 (2009); Murakami et al., Nucl. Fusion 54, 054007 (2014)]. Some experimental evidence indicates that stagnation via an expanding shock wave is stable, but its stability has never beenmore » studied theoretically. We present such analysis for the stagnation that does not involve a rarefaction wave behind the expanding shock front and is described by the classic ideal-gas Noh solution in spherical and cylindrical geometry. In either case, the stagnated flow has been demonstrated to be stable, initial perturbations exhibiting a power-law, oscillatory or monotonic, decay with time for all the eigenmodes. This conclusion has been supported by our simulations done both on a Cartesian grid and on a curvilinear grid in spherical coordinates. Dispersion equation determining the eigenvalues of the problem and explicit formulas for the eigenfunction profiles corresponding to these eigenvalues are presented, making it possible to use the theory for hydrocode verification in two and three dimensions.« less

Networking: the view from HEP

NASA Astrophysics Data System (ADS)

McKee, Shawn

2017-10-01

Networks have played a critical role in high-energy physics (HEP), enabling us to access and effectively utilize globally distributed resources to meet the needs of our physicists. National and global-scale collaborations that characterize HEP would not be feasible without ubiquitous capable networks. Because of their importance in enabling our grid computing infrastructure many physicists have taken leading roles in research and education (R&E) networking, participating in, and even convening, network related meetings and research programs with the broader networking community worldwide. This has led to HEP benefiting from excellent global networking capabilities for little to no direct cost. However, as other science domains ramp-up their need for similar networking it becomes less clear that this situation will continue unchanged. This paper will briefly discuss the history of networking in HEP, the current activities and challenges we are facing, and try to provide some understanding of where networking may be going in the next 5 to 10 years.

Carbon nanotubes and other fullerene-related nanocrystals in the environment: A TEM study

NASA Astrophysics Data System (ADS)

Murr, L. E.; Soto, K. F.; Esquivel, E. V.; Bang, J. J.; Guerrero, P. A.; Lopez, D. A.; Ramirez, D. A.

2004-06-01

Carbon nanotubes and other fullerene-related nanocrystals are ubiquitous in the atmospheric environment—both indoor and outdoor. In fact, these nanostructures have been observed even in a 10,000 year-old ice core sample, indicating their natural existence in antiquity, probably as natural gas/methane combustion products. Similar carbon nanotubes and complex carbon nanocrystal aggregates are observed to be emitted from contemporary combustion sources such as kitchen stoves (natural gas and propane), water heater and furnace exhaust vents, natural gas-burning (electric) power plants, and industrial furnace operations, among others. These observations have been made by collecting nanoparticulates and nanocrystal aggregates on carbon/formvar and silicon monoxide/formvarcoated 3 mm grids that were examined with a transmission-electron microscope. This study begins to establish an environmental context for considering the potential impact of future nanostructured particles on human health.

RACORO Extended-Term Aircraft Observations of Boundary-Layer Clouds

NASA Technical Reports Server (NTRS)

Vogelmann, Andrew M.; McFarquhar, Greg M.; Ogren, John A.; Turner, David D.; Comstock, Jennifer M.; Feingold, Graham; Long, Charles N.; Jonsson, Haflidi H.; Bucholtz, Anthony; Collins, Don R.;

Simulation of the atmospheric thermal circulation of a martian volcano using a mesoscale numerical model.

PubMed

Rafkin, Scot C R; Sta Maria, Magdalena R V; Michaels, Timothy I

2002-10-17

Mesoscale (<100 km) atmospheric phenomena are ubiquitous on Mars, as revealed by Mars Orbiter Camera images. Numerical models provide an important means of investigating martian atmospheric dynamics, for which data availability is limited. But the resolution of general circulation models, which are traditionally used for such research, is not sufficient to resolve mesoscale phenomena. To provide better understanding of these relatively small-scale phenomena, mesoscale models have recently been introduced. Here we simulate the mesoscale spiral dust cloud observed over the caldera of the volcano Arsia Mons by using the Mars Regional Atmospheric Modelling System. Our simulation uses a hierarchy of nested models with grid sizes ranging from 240 km to 3 km, and reveals that the dust cloud is an indicator of a greater but optically thin thermal circulation that reaches heights of up to 30 km, and transports dust horizontally over thousands of kilometres.

Risk Factors for Smartphone Addiction in Korean Adolescents: Smartphone Use Patterns

PubMed Central

2017-01-01

With widespread use of the smartphone, clinical evidence for smartphone addiction remains unclear. Against this background, we analyzed the effect of smartphone use patterns on smartphone addiction in Korean adolescents. A total of 370 middle school students participated. The severity of smartphone addiction was measured through clinical interviews and the Korean Smartphone Addiction Proneness Scale. As a result, 50 (13.5%) were in the smartphone addiction group and 320 (86.5%) were in the healthy group. To investigate the effect of smartphone use patterns on smartphone addiction, we performed self-report questionnaires that assessed the following items: smartphone functions mostly used, purpose of use, problematic use, and parental attitude regarding smartphone use. For smartphone functions mostly used, the addiction group showed significantly higher scores in “Online chat.” For the purpose of use, the addiction group showed significantly higher “habitual use,” “pleasure,” “communication,” “games,” “stress relief,” “ubiquitous trait,” and “not to be left out.” For problematic use, the addiction group showed significantly higher scores on “preoccupation,” “tolerance,” “lack of control,” “withdrawal,” “mood modification,” “conflict,” “lies,” “excessive use,” and “loss of interest.” For parental attitude regarding children's smartphone use, the addiction group showed significantly higher scores in “parental punishment.” Binary logistic regression analysis indicated that “female,” “use for learning,” “use for ubiquitous trait,” “preoccupation,” and “conflict” were significantly correlated with smartphone addiction. This study demonstrated that the risk factors for smartphone addiction were being female, preoccupation, conflict, and use for ubiquitous trait; the protective factor was use for learning. Future studies will be required to reveal the additional clinical evidence of the disease entity for smartphone addiction. PMID:28875613

A code inspection process for security reviews

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

Garzoglio, Gabriele; /Fermilab

2009-05-01

In recent years, it has become more and more evident that software threat communities are taking an increasing interest in Grid infrastructures. To mitigate the security risk associated with the increased numbers of attacks, the Grid software development community needs to scale up effort to reduce software vulnerabilities. This can be achieved by introducing security review processes as a standard project management practice. The Grid Facilities Department of the Fermilab Computing Division has developed a code inspection process, tailored to reviewing security properties of software. The goal of the process is to identify technical risks associated with an application andmore » their impact. This is achieved by focusing on the business needs of the application (what it does and protects), on understanding threats and exploit communities (what an exploiter gains), and on uncovering potential vulnerabilities (what defects can be exploited). The desired outcome of the process is an improvement of the quality of the software artifact and an enhanced understanding of possible mitigation strategies for residual risks. This paper describes the inspection process and lessons learned on applying it to Grid middleware.« less

A code inspection process for security reviews

NASA Astrophysics Data System (ADS)

Garzoglio, Gabriele

2010-04-01

In recent years, it has become more and more evident that software threat communities are taking an increasing interest in Grid infrastructures. To mitigate the security risk associated with the increased numbers of attacks, the Grid software development community needs to scale up effort to reduce software vulnerabilities. This can be achieved by introducing security review processes as a standard project management practice. The Grid Facilities Department of the Fermilab Computing Division has developed a code inspection process, tailored to reviewing security properties of software. The goal of the process is to identify technical risks associated with an application and their impact. This is achieved by focusing on the business needs of the application (what it does and protects), on understanding threats and exploit communities (what an exploiter gains), and on uncovering potential vulnerabilities (what defects can be exploited). The desired outcome of the process is an improvement of the quality of the software artifact and an enhanced understanding of possible mitigation strategies for residual risks. This paper describes the inspection process and lessons learned on applying it to Grid middleware.

Building Environment Analysis based on Temperature and Humidity for Smart Energy Systems

PubMed Central

Yun, Jaeseok; Won, Kwang-Ho

2012-01-01

In this paper, we propose a new HVAC (heating, ventilation, and air conditioning) control strategy as part of the smart energy system that can balance occupant comfort against building energy consumption using ubiquitous sensing and machine learning technology. We have developed ZigBee-based wireless sensor nodes and collected realistic temperature and humidity data during one month from a laboratory environment. With the collected data, we have established a building environment model using machine learning algorithms, which can be used to assess occupant comfort level. We expect the proposed HVAC control strategy will be able to provide occupants with a consistently comfortable working or home environment. PMID:23202004

Micro vs Macro Planning: Achieving a Balance.

ERIC Educational Resources Information Center

Slate, Judith J.; Gallagher, Jo D.

1994-01-01

The process of developing program evaluation models for Florida International University's college of education is described. One lesson learned was that a combination of macro- and microlevel planning is necessary for purposeful evaluation. A grid to aid decision making is also presented. (Author/MSE)

Use of Emerging Grid Computing Technologies for the Analysis of LIGO Data

NASA Astrophysics Data System (ADS)

Koranda, Scott

2004-03-01

The LIGO Scientific Collaboration (LSC) today faces the challenge of enabling analysis of terabytes of LIGO data by hundreds of scientists from institutions all around the world. To meet this challenge the LSC is developing tools, infrastructure, applications, and expertise leveraging Grid Computing technologies available today, and making available to LSC scientists compute resources at sites across the United States and Europe. We use digital credentials for strong and secure authentication and authorization to compute resources and data. Building on top of products from the Globus project for high-speed data transfer and information discovery we have created the Lightweight Data Replicator (LDR) to securely and robustly replicate data to resource sites. We have deployed at our computing sites the Virtual Data Toolkit (VDT) Server and Client packages, developed in collaboration with our partners in the GriPhyN and iVDGL projects, providing uniform access to distributed resources for users and their applications. Taken together these Grid Computing technologies and infrastructure have formed the LSC DataGrid--a coherent and uniform environment across two continents for the analysis of gravitational-wave detector data. Much work, however, remains in order to scale current analyses and recent lessons learned need to be integrated into the next generation of Grid middleware.

Medial Entorhinal Grid Cells and Head Direction Cells Rotate with a T-Maze More Often During Less Recently Experienced Rotations

PubMed Central

Gupta, Kishan; Beer, Nathan J.; Keller, Lauren A.; Hasselmo, Michael E.

2014-01-01

Prior studies of head direction (HD) cells indicate strong landmark control over the preferred firing direction of these cells, with few studies exhibiting shifts away from local reference frames over time. We recorded spiking activity of grid and HD cells in the medial entorhinal cortex of rats, testing correlations of local environmental cues with the spatial tuning curves of these cells' firing fields as animals performed continuous spatial alternation on a T-maze that shared the boundaries of an open-field arena. The environment was rotated into configurations the animal had either seen or not seen in the past recording week. Tuning curves of both cell types demonstrated commensurate shifts of tuning with T-maze rotations during less recent rotations, more so than recent rotations. This strongly suggests that animals are shifting their reference frame away from the local environmental cues over time, learning to use a different reference frame more likely reliant on distal or idiothetic cues. In addition, grid fields demonstrated varying levels of “fragmentation” on the T-maze. The propensity for fragmentation does not depend on grid spacing and grid score, nor animal trajectory, indicating the cognitive treatment of environmental subcompartments is likely driven by task demands. PMID:23382518

Enhancements to the GRIDGEN structured grid generation system for internal and external flow applications

NASA Technical Reports Server (NTRS)

Steinbrenner, John P.; Chawner, John R.

1992-01-01

GRIDGEN is a government domain software package for interactive generation of multiple block grids around general configurations. Though it has been freely available since 1989, it has not been widely embraced by the internal flow community due to a misconception that it was designed for external flow use only. In reality GRIDGEN has always worked for internal flow applications, and GRIDGEN ongoing enhancements are increasing the quality of and efficiency with which grids for external and internal flow problems may be constructed. The software consists of four codes used to perform the four steps of the grid generation process. GRIDBLOCK is first used to decompose the flow domain into a collection of component blocks and then to establish interblock connections and flow solver boundary conditions. GRIDGEN2D is then used to generate surface grids on the outer shell of each component block. GRIDGEN3D generates grid points on the interior of each block, and finally GRIDVUE3D is used to inspect the resulting multiple block grid. Three of these codes (GRIDBLOCK, GRIDGEN2D, and GRIDVUE3D) are highly interactive and graphical in nature, and currently run on Silicon Graphics, Inc., and IBM RS/6000 workstations. The lone batch code (GRIDGEN3D) may be run on any of several Unix based platforms. Surface grid generation in GRIDGEN2D is being improved with the addition of higher order surface definitions (NURBS and parametric surfaces input in IGES format and bicubic surfaces input in PATRAN Neutral File format) and double precision mathematics. In addition, two types of automation have been added to GRIDGEN2D that reduce the learning curve slope for new users and eliminate work for experienced users. Volume grid generation using GRIDGEN3D has been improved via the addition of an advanced hybrid control function formulation that provides both orthogonality and clustering control at the block faces and clustering control on the block interior.

Smart Grid Risk Management

NASA Astrophysics Data System (ADS)

Abad Lopez, Carlos Adrian

Current electricity infrastructure is being stressed from several directions -- high demand, unreliable supply, extreme weather conditions, accidents, among others. Infrastructure planners have, traditionally, focused on only the cost of the system; today, resilience and sustainability are increasingly becoming more important. In this dissertation, we develop computational tools for efficiently managing electricity resources to help create a more reliable and sustainable electrical grid. The tools we present in this work will help electric utilities coordinate demand to allow the smooth and large scale integration of renewable sources of energy into traditional grids, as well as provide infrastructure planners and operators in developing countries a framework for making informed planning and control decisions in the presence of uncertainty. Demand-side management is considered as the most viable solution for maintaining grid stability as generation from intermittent renewable sources increases. Demand-side management, particularly demand response (DR) programs that attempt to alter the energy consumption of customers either by using price-based incentives or up-front power interruption contracts, is more cost-effective and sustainable in addressing short-term supply-demand imbalances when compared with the alternative that involves increasing fossil fuel-based fast spinning reserves. An essential step in compensating participating customers and benchmarking the effectiveness of DR programs is to be able to independently detect the load reduction from observed meter data. Electric utilities implementing automated DR programs through direct load control switches are also interested in detecting the reduction in demand to efficiently pinpoint non-functioning devices to reduce maintenance costs. We develop sparse optimization methods for detecting a small change in the demand for electricity of a customer in response to a price change or signal from the utility, dynamic learning methods for scheduling the maintenance of direct load control switches whose operating state is not directly observable and can only be inferred from the metered electricity consumption, and machine learning methods for accurately forecasting the load of hundreds of thousands of residential, commercial and industrial customers. These algorithms have been implemented in the software system provided by AutoGrid, Inc., and this system has helped several utilities in the Pacific Northwest, Oklahoma, California and Texas, provide more reliable power to their customers at significantly reduced prices. Providing power to widely spread out communities in developing countries using the conventional power grid is not economically feasible. The most attractive alternative source of affordable energy for these communities is solar micro-grids. We discuss risk-aware robust methods to optimally size and operate solar micro-grids in the presence of uncertain demand and uncertain renewable generation. These algorithms help system operators to increase their revenue while making their systems more resilient to inclement weather conditions.

m-Learning and holography: Compatible techniques?

NASA Astrophysics Data System (ADS)

Calvo, Maria L.

2014-07-01

Since the last decades, cell phones have become increasingly popular and are nowadays ubiquitous. New generations of cell phones are now equipped with text messaging, internet, and camera features. They are now making their way into the classroom. This is creating a new teaching and learning technique, the so called m-Learning (or mobile-Learning). Because of the many benefits that cell phones offer, teachers could easily use them as a teaching and learning tool. However, an additional work from the teachers for introducing their students into the m-Learning in the classroom needs to be defined and developed. As an example, optical techniques, based upon interference and diffraction phenomena, such as holography, appear to be convenient topics for m-Learning. They can be approached with simple examples and experiments within the cell phones performances and classroom accessibility. We will present some results carried out at the Faculty of Physical Sciences in UCM to obtain very simple holographic recordings via cell phones. The activities were carried out inside the course on Optical Coherence and Laser, offered to students in the fourth course of the Grade in Physical Sciences. Some open conclusions and proposals will be presented.

[Associative Learning between Orientation and Color in Early Visual Areas].

PubMed

Amano, Kaoru; Shibata, Kazuhisa; Kawato, Mitsuo; Sasaki, Yuka; Watanabe, Takeo

2017-08-01

Associative learning is an essential neural phenomenon where the contingency of different items increases after training. Although associative learning has been found to occur in many brain regions, there is no clear evidence that associative learning of visual features occurs in early visual areas. Here, we developed an associative decoded functional magnetic resonance imaging (fMRI) neurofeedback (A-DecNef) to determine whether associative learning of color and orientation can be induced in early visual areas. During the three days' training, A-DecNef induced fMRI signal patterns that corresponded to a specific target color (red) mostly in early visual areas while a vertical achromatic grating was simultaneously, physically presented to participants. Consequently, participants' perception of "red" was significantly more frequently than that of "green" in an achromatic vertical grating. This effect was also observed 3 to 5 months after training. These results suggest that long-term associative learning of two different visual features such as color and orientation, was induced most likely in early visual areas. This newly extended technique that induces associative learning may be used as an important tool for understanding and modifying brain function, since associations are fundamental and ubiquitous with respect to brain function.

Learn More | Energy Analysis | NREL

Science.gov Websites

flexibility. Value of Demand Response: Quantities from Production Cost Modeling (Presentation) (2014 adding variable renewable generation to the grid. Market Design Evolution of Wholesale Electricity Market Design with Increasing Levels of Renewable Generation (2014) Reviewed market design approaches focused on

Games Children Don't Play--Simulation and Gaming in the Primary School.

ERIC Educational Resources Information Center

Brown, Margot

1982-01-01

Summarizes conditions in the primary schools that suggest the appropriateness of using simulation games and describes the People GRID and Living Together Series for developing learning about the real world and the skills necessary for effective participation in it. (EAO)

AF-TRUST, Air Force Team for Research in Ubiquitous Secure Technology

DTIC Science & Technology

2010-07-26

Charles Sutton, J. D. Tygar, and Kai Xia. Book chapter in Jeffrey J. P. Tsai and Philip S. Yu (eds.) Machine Learning in Cyber Trust: Security, Privacy...enterprise, tactical, embedded systems and command and control levels. From these studies, commissioned by Dr . Sekar Chandersekaran of the Secretary of the...Data centers avoid IP Multicast because of a series of problems with the technology. • Dr . Multicast (the MCMD), a system that maps traditional I PMC

Land Cover Change Community-based Processing and Analysis System (LC-ComPS): Lessons Learned from Technology Infusion

NASA Astrophysics Data System (ADS)

Masek, J.; Rao, A.; Gao, F.; Davis, P.; Jackson, G.; Huang, C.; Weinstein, B.

2008-12-01

The Land Cover Change Community-based Processing and Analysis System (LC-ComPS) combines grid technology, existing science modules, and dynamic workflows to enable users to complete advanced land data processing on data available from local and distributed archives. Changes in land cover represent a direct link between human activities and the global environment, and in turn affect Earth's climate. Thus characterizing land cover change has become a major goal for Earth observation science. Many science algorithms exist to generate new products (e.g., surface reflectance, change detection) used to study land cover change. The overall objective of the LC-ComPS is to release a set of tools and services to the land science community that can be implemented as a flexible LC-ComPS to produce surface reflectance and land-cover change information with ground resolution on the order of Landsat-class instruments. This package includes software modules for pre-processing Landsat-type satellite imagery (calibration, atmospheric correction, orthorectification, precision registration, BRDF correction) for performing land-cover change analysis and includes pre-built workflow chains to automatically generate surface reflectance and land-cover change products based on user input. In order to meet the project objectives, the team created the infrastructure (i.e., client-server system with graphical and machine interfaces) to expand the use of these existing science algorithm capabilities in a community with distributed, large data archives and processing centers. Because of the distributed nature of the user community, grid technology was chosen to unite the dispersed community resources. At that time, grid computing was not used consistently and operationally within the Earth science research community. Therefore, there was a learning curve to configure and implement the underlying public key infrastructure (PKI) interfaces, required for the user authentication, secure file transfer and remote job execution on the grid network of machines. In addition, science support was needed to vet that the grid technology did not have any adverse affects of the science module outputs. Other open source, unproven technologies, such as a workflow package to manage jobs submitted by the user, were infused into the overall system with successful results. This presentation will discuss the basic capabilities of LC-ComPS, explain how the technology was infused, and provide lessons learned for using and integrating the various technologies while developing and operating the system, and finally outline plans moving forward (maintenance and operations decisions) based on the experience to date.