EAI Endorsed Transactions on Context-aware Systems and Applications

Issue 12, 2017

Editor(s)-in-Chief: Phan Cong Vinh and Moeiz Miraoui

Articles
Information

Multivariate cube integrated retinal variable to visually represent multivariable data
Appears in:
casa 17(12): e1

Authors:
H.T. Nguyen, A.V.T. Tran, T.A.T. Nguyen, L.T. Vo, P.V. Tran

Abstract:
For visualization of multivariable data, multivariate cube meets with the limitation of screen and human vision. Retinal variables are integrated into multivariate cube to enhance its visual characteristics. The selective feature of variables and associative feature of the values of the same variab…For visualization of multivariable data, multivariate cube meets with the limitation of screen and human vision. Retinal variables are integrated into multivariate cube to enhance its visual characteristics. The selective feature of variables and associative feature of the values of the same variable are improved with the integration of retinal variable into the set of visual variables. The selective, quantitative, and ordered features of the marks of a visual variable are enhanced by the integration of retinal variable into different values. The combination of multivariate cube and retinal variables in data visualization significantly increases visual characteristics. Multivariate cube integrated retinal variable is illustratively applied for visually analyzing the data set of the learning outcomes evaluation of information system curriculum at Thu Dau Mot University and the data set of the happenings of hand, foot, mouth disease in Binhduong province during 2012-
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Context-based Project Management
Appears in:
casa 17(12): e3

Authors:
Ammar Alsaig, Alaa Alsaig, Mubarak Mohammad

Abstract:
Context-based computing has become an integral part of the software infrastructure of modern society. Better software are made adaptive to suit the surrounding environment. Context-based applications best fit into environments that undergo constant and frequent changes. Temperature management, Time…Context-based computing has become an integral part of the software infrastructure of modern society. Better software are made adaptive to suit the surrounding environment. Context-based applications best fit into environments that undergo constant and frequent changes. Temperature management, Time management, GPS are just few examples where context-awareness becomes inevitable. Project Management is another domain that requires constant monitoring. The current tools of project management handle data gathering, plotting, and organizing, but requires high-level of human intervention to analyze data and integrate it. To the extent of our knowledge there is no efforts to introduce context awareness to project management domain. In this work, we introduce context and formally model project context using FCA. Additionally, we provide the results of the full implementation of our approach on a real-world software project. We show that our approach can formally answer queries that traditional tools could not answer. Also, we introduce a brief comparison between our approach and traditional project management software. Finally, we show that our approach can improve project management tools and minimize the effort spent by project managers.
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Real Time Burning Image Classification Using Support Vector Machine
Appears in:
casa 17(12): e4

Authors:
T.S. Hai, L.M. Triet, L.H. Thai, N.T. Thuy

Abstract:
Burning image classification is critical and attempted problems in medical image processing. This paper has proposed the real time image classification for burning image to automatically identify the degrees of burns in three levels: II, III, and IV. The proposed model uses the multi-colour channel…Burning image classification is critical and attempted problems in medical image processing. This paper has proposed the real time image classification for burning image to automatically identify the degrees of burns in three levels: II, III, and IV. The proposed model uses the multi-colour channels extraction and binary based on adaptive threshold. The proposed model uses One-class Support Vector Machine instead of traditional Support Vector Machine (SVM) because of unbalanced degrees of burns images database. The classifying precision 77.78% shows the feasibility of our proposed model.
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Quality of Context in Context-Aware Systems
Appears in:
casa 17(12): e5

Authors:
Asma A.Q. Al-Shargabi, Francois Siewe, Ammar T. Zahary

Abstract:
Context-aware Systems (CASs) are becoming increasingly popular and can be found in the areas of wearable computing, mobile computing, robotics, adaptive and intelligent user interfaces. Sensors are the corner stone of context capturing however, sensed context data are commonly prone to imperfection…Context-aware Systems (CASs) are becoming increasingly popular and can be found in the areas of wearable computing, mobile computing, robotics, adaptive and intelligent user interfaces. Sensors are the corner stone of context capturing however, sensed context data are commonly prone to imperfection due to the technical limitations of sensors, their availability, dysfunction, and highly dynamic nature of environment. Consequently, sensed context data might be imprecise, erroneous, conflicting, or simply missing. To limit the impact of context imperfection on the behavior of a context-aware system, a notion of Quality of Context (QoC) is used to measure quality of any information that is used as context information. Adaptation is performed only if the context data used in the decision-making has an appropriate quality level. This paper reports an analytical review the state of the art on quality of context in context-aware systems and points to future research directions.
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Context-aware hand poses classifying on images and video-sequences using a combination of wavelet transforms, PCA and neural networks
Appears in:
casa 17(12): e2

Authors:
Phan Ngoc Hoang, Bui Thi Thu Trang

Abstract:
In this paper we propose novel context-aware algorithms for hand poses classifying on images and video-sequences. The proposed hand poses classifying on images algorithm based on Viola-Jones method, wavelet transform, PCA and neural networks. On the first step, the Viola-Jones method is used to fin…In this paper we propose novel context-aware algorithms for hand poses classifying on images and video-sequences. The proposed hand poses classifying on images algorithm based on Viola-Jones method, wavelet transform, PCA and neural networks. On the first step, the Viola-Jones method is used to find the location of hand pose on images. Then, on the second step, the features of hand pose are extracted using combination of wavelet transform and PCA. Finally, on the last step, these extracted features are classified by multi-layer feed-forward neural networks. The proposed hand poses classifying on video-sequences algorithm based on the combination of CAMShift algorithm and proposed hand poses classifying on images algorithm. The experimental results show that the proposed algorithms effectively classify the hand pose in difference light contrast conditions and compete with state-of-the-art algorithms.
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Scope

This journal is a place for highly original ideas about how CA is going to shape computing and communication of the future. Hence, it focuses on rigorous approaches and cutting-edge solutions which break new ground in dealing with the properties of CA.

Its purpose is to make a formal basis more…

Its purpose is to make a formal basis more accessible to researchers, scientists, professionals and students as well as developers and practitioners in computer science by providing them with state-of-the-art research results and future opportunities and trends.

The feature scope of topics includes all aspects of CA in both computing and communication Original papers are solicited for this journal. In particular, theoretical contributions should be formally stated and justified, and practical applications should be based on their firm formal basis.

Topics

The works that will be presented in the journal will focus on the following topics:

Context-awareness of Computation and Communication

Fundamentals:

• Context-aware models

• Context-aware control

• Context-aware algorithms

• Context-aware networks

• Context-aware compu…

The works that will be presented in the journal will focus on the following topics:

Context-awareness of Computation and Communication

Fundamentals:

• Context-aware models

• Context-aware control

• Context-aware algorithms

• Context-aware networks

• Context-aware computing

• Context-awareness calculi

• Context-awareness representation

• Context-awareness-based systems

• Logic in context-awareness

• Context-awareness reasoning

• Formal methods of context-awareness

• Context-awareness-based optimization and swarm Intelligence

• Theory, computational models and algorithms in context detection for computing

• Awareness of context in collaboration or crowdsourcing

• Context recognition and artificial intelligence (AI)

• Privacy issues

Context-aware Systems:

• Routing, transport, and reliability issues of context-aware systems

• Data dissemination and replication in context-aware systems

• Applications and middleware support, mobile social networking applications

• Mobility models and statistical analysis of mobility traces

• Context and social awareness mechanisms and algorithms

• Co-existence of opportunistic networks with infrastructure mobile wireless networks

• Service composition in autonomic and opportunistic networks

• Cognition-driven information processing and decision making

• Performance modeling, scaling laws, and fundamental limits for autonomic and opportunistic communications

• Game-theoretic insights into the operation of autonomic and opportunistic networks

• Participatory and urban sensing in autonomic and opportunistic networks

• Trust, security, and reputation in context-aware systems

• Autonomic and opportunistic communication testbeds and prototypes, measurement data from real experiments

• Socio-economic models for autonomic and opportunistic communications

• Mobile data measurement and collection platforms for context detection

• Automated systems to model and detect context

Context-aware Technologies and Applications

• Context-aware information retrieval

• Context-aware profiling, clustering, and collaborative filtering

• Machine learning for context-aware information retrieval and ontology learning

• Context-aware e-learning/tutoring

• Ubiquitous and context-aware computing

• Use of context-aware technologies in UI/HCI

• Context-aware advertising

• Recommendations for mobile users

• Context-awareness in portable devices

• Context-aware services

• Social Agents and Avatars

• Emotion and Personality

• Virtual Humans

• Autonomous Actors

• Awareness-based Animation

• Social and Conversational Agents

• Inter-Agent Communication

• Social Behavior

• Crowd Simulation

• Understanding Human Activity

• Memory and Long-term Interaction

• Context representations and signal characteristics that describe and identify the context

• Context detection algorithms/approaches using data collected with mobile devices, wearable devices, and pervasive sensors (e.g. RF sensors)

• User studies and evaluation techniques for context detection

• The novel use of context information in computing applications

• Integration of context into lifelogging applications.

• Applications of context information for the work-life balance, for a healthier life and behavior

• Applications of context information in situational or social awareness

• Application of context information in health care

• Applications of context information in industrial production

• Applications of context information in pervasive games

• Applications of context information in mobile multimedia devices

Nature of Computation and Communication

• autonomic computing/communicating

• Amorphous computing

• Artificial Intelligence

• Artificial immune computing

• Artificial Life

• Artificial neural computing

• Big data

• Biologically-inspired computing/communicating

• Cellular automata

• Cellular computing

• Collective intelligence in computing/communicating

• Collision-based computing

• Computation/communication based on chaos and dynamical systems

• Computation based on physical principles such as relativistic, optical, spatial, collision-based computing

• Cognitive computing

• Context-aware computing/communicating

• Data Mining

• DNA computing

• Evolutionary computing

• Fractal geometry

• Fuzzy computing

• Hypercomputation

• Image Processing

• Machine Learning

• Massive parallel computing

• Membrane computing

• Molecular computing

• Morphological computing

• Natural Language Processing

• Optical computing/communicating

• Physarum computing

• Quantum computing/communicating

• Relativistic computing

• Spatial computing

• Swarm intelligence in computing/communicating

• Wetware computing

DOAJ
DBLP
CrossRef
[OCLC Discovery Services](https://www.worldcat.org/title/eai-endorsed-transactions-on-context-aware-systems-and-applications/oclc/947091…

Abdur Rakib (The University of Nottingham, UK, Malaysia Campus)
Adina Magda Florea (University Politehnica of Bucharest, Romania)
Ashad Kabir (Swinburne University of Technology, Australia)
Chien-Chih Yu (National ChengChi University, Taiwan)
David Sundaram (University of Auckland, NZ)
…

Abdur Rakib (The University of Nottingham, UK, Malaysia Campus)
Adina Magda Florea (University Politehnica of Bucharest, Romania)
Ashad Kabir (Swinburne University of Technology, Australia)
Chien-Chih Yu (National ChengChi University, Taiwan)
David Sundaram (University of Auckland, NZ)
Emil Vassev (University of Limerick, Ireland)
Giacomo Cabri (Università di Modena e Reggio Emilia, Italy)
Giovanna Di Marzo Serugendo (University of Geneva, Switzerland)
Giuseppe De Pietro (ICAR-CNR, Italy)
Kurt Geihs (University of Kessel, Germany)
Mirko Viroli (University of Bologna, Italy)
Ondrej Krejcar (University of Hradec Kralove, Czech Republic)
Vangalur Alagar (Concordia University, Canada)
Muhammad Athar Javed Sethi (University of Engineering and Technology Peshawar Pakistan)
Yaser Jararweh (Jordan University of Science and Technology, Jordan)

Journal Blurb

Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/casa/index

Publisher: EAI
ISSN: 2409-0026
Volume: 4

Published: 2017-07-06

Multivariate cube integrated retinal variable to visually represent multivariable data

Context-based Project Management

Real Time Burning Image Classification Using Support Vector Machine

Quality of Context in Context-Aware Systems

Context-aware hand poses classifying on images and video-sequences using a combination of wavelet transforms, PCA and neural networks

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