Description
Context-Aware Systems and Applications, 1st ed. 2016
4th International Conference, ICCASA 2015, Vung Tau, Vietnam, November 26-27, 2015, Revised Selected Papers
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Series, Vol. 165
Coordinators: Vinh Phan Cong, Alagar Vangalur
Language: EnglishSubject for Context-Aware Systems and Applications:
Keywords
activity recognition; algorithms; autonomic computing; autonomic systems; collaborative computing; context-aware systems; contextual design; formal methods; information retrieval; knowledge management; machine learning; natural computing; pattern recognition; recommendation systems; recommender systems; self-configuration; self-organizing systems; social networks; swarm intelligence
450 p. · 15.5x23.5 cm · Paperback
Description
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CAS is characterized by its self- facets such as self-organization, self-configuration, self-healing, self-optimization, self-protection and so on whose context awareness used to dynamically control computing and networking functions. The overall goal of CAS is to realize nature-inspired autonomic systems that can manage themselves without direct human interventions.
Products and Coproducts of Autonomic Systems.- Finite Limits and Colimits in Autonomic Systems.- A Context-Aware Healthcare Architecture for the Elderly.- Snapcab: Urban Scale Context-Aware Smart Transport using Adaptive Context Tries.- Sound Waves Gesture Recognition for Human-Computer Interaction.- Context-Based Classifier Grids Learning for Object Detection in Surveillance Systems.- Using the Cumulative Sum Algorithm Against Distributed Denial of Service Attacks in Internet of Things.- Memory Resource Estimation of Component-Based Systems.- Context-aware Approach for Determining the Threshold Price in Name-Your-Own-Price Channels.- Travel Destination Recommendation based on Probabilistic Spatio-temporal Inference.- MBTI-based Collaborative Recommendation System: A Case Study of Webtoon Contents.- Social Affinity based Group Recommender System.- Context-based Traffic Recommendation System.- User Timeline and Interest-based Collaborative Filtering on Social Network.- Community Centrality-based Greedy Approach for Identifying Top-K Influencers in Social Networks.- Context-based Service Identification in the Museum Environment.- A Federated Approach for Simulations in Cyber-Physical Systems.
Includes supplementary material: sn.pub/extras