Overview

This book constitutes the thoroughly refereed proceedings of the first International Conference on Context-Aware Systems and Applications, ICCASA 2012, held in Ho Chi Minh City, Vietnam, in November 2012. The 34 revised full papers presented were carefully selected and reviewed from over 100 submissions. The papers cover a wide spectrum of issues in the area of Context-Aware Systems (CAS). CAS are going to shape networked computing systems of the future

Full Product Details

Author:   Phan Cong Vinh ,  Nguyen Manh Hung ,  Nguyen Thanh Tung ,  Jun Suzuki
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2013 ed.
Volume:   109
Dimensions:   Width: 15.50cm , Height: 1.90cm , Length: 23.50cm
Weight:   0.569kg
ISBN:  

9783642366413

ISBN 10:   3642366414
Pages:   358
Publication Date:   09 February 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Activity-Based Entities Relationship in Monitoring Context Awareness.- Context-Aware User Preferences in Systems for Pervasive Computing and Social Networking.- Context-Aware Security Solutions for Cyber Physical Systems.- 3D Interaction Assistance in Virtual Reality: A Semantic Reasoning Engine for Context-Awareness.- An Energy-Efficient Ring Search Routing Protocol Using Energy.- A Formal Approach to Modeling and Verifying Resource-Bounded Context-Aware Agents.- Context-Aware Design of Semantic Web Services to Improve the Precision of Compositions.- Towards Context-Aware Recommendation for Personalized Mobile Travel Planning.- Concept of the Personal Devices Content Management Using Modular Architecture and Evaluation Based Design.- Object Detection and Tracking in Contourlet Domain.- User Preferences Elicitation and Exploitation in a Push-Delivery Mobile Recommender System.- Emotion Analysis of the Text Using Fuzzy Affect Typing over Emotions.- Compare Effective Fuzzy Associative Memories for Grey-Scale Image Recognition.

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