Informatics Publishing Limited

M. Deepa Lakshmi ¹, R. Mercy ¹, M. Subramanian ², S. Murukesan

Affiliations
1 Department of Computer Science and Engineering at PSN College of Engineering and Technology, Tirunelveli District, IN
2 Mascon Global Limited, Chennai, IN

Abstract

Nowadays mobile devices are omnipresent. Web service architectures are increasingly used as platforms for distributed applications. Web services and mobile devices together are paving way for the emergence of pervasive computing systems. Popular pervasive computing systems in use today don't use mobile devices and web service architecture due to the lack of the necessary supporting interface. Service oriented architecture (SOA) fills the gap. In this paper we present an infrastructure for pervasive computing system encompassing both. The infrastructure builds on both the SOA and the Web service technology. The combination provides an adoptive environment were users can utilize computing services as and when they need and everywhere using any kind of appliance. Here devices discover each other and use each other's services through UDDI Web service registry.

One criterion for a pervasive system to be successful is to be simple and based on a well-known technology, which easily could be extended for specific applications. An infrastructure for pervasive computing must enable high interconnectivity, dynamic interactions among connected devices, at all levels encompassing hardware, software, and people.

The Web Services Description Language (WSDL) has become a standard programming interface to access any application, and SOAP has become a standard interoperability protocol to connect any application to any other. These two standards provide a firm foundation for the growth of pervasive computing. Web services specifications that define security, reliability, transactions,orchestration, and metadata management meet additional requirements for enterprise features and qualities of service. Together,the Web services standard and SOA are the best combination toprovide an infrastructure for pervasive computing.

Keywords

Pervasive Computing, SOA, Web Services.

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R. Paul Jeba Kumar ¹, C. Akila ², R. Mercy ², M. Deepa Lakshmi ³

Affiliations
1 Anna University, Tirunelveli, IN
2 Department in CSE, Anna University, Tirunelveli, IN
3 PSNCET, Tirunelveli, IN

Abstract

This paper describes effective texture characterization techniques using wavelet packet decompositions. The proposed work presents a statistical view of the image classification problem by combining the tasks, namely feature extraction (FE) and similarity measurement (SM), into a joint modeling and classification scheme. The proposed method uses the wavelet packet energy as a feature for texture classification for a compact feature representation and better classification accuracy. It shows that incorporating the sub band grouping and selection method and Fuzzy C Means algorithm improves the feature selection and classification accuracy. Experimental results on a database of texture images indicate that the new method significantly improves Classification rates compared with traditional approaches, while it retains comparable levels of computational complexity.

Keywords

Mutual Information, SGS, DWPT, FCM.

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