Eco-friendly Computing and Communication Systems: by Mahalingam P.R., Shimmi Asokan (auth.), Jimson Mathew,

By Mahalingam P.R., Shimmi Asokan (auth.), Jimson Mathew, Priyadarshan Patra, Dhiraj K. Pradhan, A. J. Kuttyamma (eds.)

This publication constitutes the refereed complaints of the overseas convention green Computing and conversation structures, ICECCS 2012, held in Kochi, Kerala, India, in August 2012. The 50 revised complete papers offered have been conscientiously reviewed and chosen from 133 submissions. The papers are geared up in topical sections on strength effective software program process and functions; instant verbal exchange platforms; eco-friendly power applied sciences; photo and sign processing; bioinformatics and rising applied sciences; safe and trustworthy platforms; mathematical modeling and clinical computing; pervasive computing and applications.

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Extra resources for Eco-friendly Computing and Communication Systems: International Conference, ICECCS 2012, Kochi, India, August 9-11, 2012. Proceedings

Example text

Various steps in the Ontology Knowledge Base creation can be summarized as follows: (Refer to Fig. 2) 1) Ontology Creation: Ontologies are created by ontology engineers with the help of domain experts. These ontologies are then made available on the Web and can be used in a number of ways by the users and the software agents. Ontology construction is an iterative process and involves the following steps: • Design: Specifies the scope and purpose of the ontology. Also reveals the relationship among classes and subclasses.

Membership function of receiver circuit condition is represented as follows: 0 , , 0, , 1 1 , , , , 1 , 0 , 0 , The output of the inference engine classifies a node into normal node, traffic node, end node and dead node according to the fault status of the hardware circuit. The membership functions are representatively defined as follows: 0 , , 0, , 1 0 , , 1 , , 0 , , 1 , 0 , 1 , , 0 , Fuzzy Based Fault F Management Scheme in Wireless Sensor Networks 35 Use of membership functio on deliberately increases the percentage of active node and improves network coveragee.

4 Future Scope The proposed architecture is a conceptual one at present but various modules which constitute it have been implemented and are being used in different application areas. These components can be identified, re-tuned for the Search Engine and can be integrated together to actually implement the proposed search model. Some work has been done in the areas of Ontology Mapping and Ontology based Automatic Classification of Web Documents. The results and implementation from these areas can be incorporated in the proposed system with little difficulty.

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