Download Context-Aware Systems and Applications: Second International by Phan Cong Vinh, Vangalur Alagar, Emil Vassev, Ashish Khare PDF

By Phan Cong Vinh, Vangalur Alagar, Emil Vassev, Ashish Khare (eds.)

This publication constitutes the completely refereed lawsuits of the second one overseas convention on Context-Aware platforms and purposes, ICCASA 2013, held in Phu Quoc Island, Vietnam in November 2013. The 36 revised complete papers offered have been rigorously chosen and reviewed from over a hundred submissions and canopy a large spectrum of concerns within the sector of context-aware structures (CAS) and context-based suggestion systems.

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Additional resources for Context-Aware Systems and Applications: Second International Conference, ICCASA 2013, Phu Quoc Island, Vietnam, November 25-26, 2013, Revised Selected Papers

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ContextUML: a UML-based modeling language for model-driven development of context-aware web services. In: International Conference on Mobile Business, 2005, ICMB 2005, pp. 206–212. IEEE (2005) 13. : Modeling context-aware and socially-enriched mashups. In: Proceedings of the 3rd and 4th International Workshop on Web APIs and Services Mashups, p. 2. ACM (2010) 14. : A universal NoSQL engine, using a tried and tested technology (2010) 15. : Lucx: lucid enriched with context. D. za Abstract. This paper investigates the use of Soft Computing techniques on a drought monitoring case study.

Behaviors of traffic light agent and simulation of the traffic network status. 2 presents the results in several points of view. 1 Simulation Setup This section presents the applying of mains steps in the proposed model to model and simulate the traffic network of Hanoi. Initiation of agents population. The initial position of agents is created with the same rate of realistic population distribution of Hanoi, by districts. The destination of agents is determined based on its jobs and family situation.

It could observe other transports and obstacles to change its own speed as well as direction to go to its destination as fast as possible. The transportation network therefore could be modelled as a multiagent system whose each agent has a personnel goal (its destination to go) and they have to coordinate and/or interact together in order to prevent accidents from happening. There are many models proposed in this tendency. For instance, MATSim development team [3] is developing a framework and platform for a transportation network simulation, called MATSim.

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