Download Advances in Parallel Distributed Computing: First by B. Baranidharan, B. Shanthi (auth.), Dhinaharan Nagamalai, PDF

By B. Baranidharan, B. Shanthi (auth.), Dhinaharan Nagamalai, Eric Renault, Murugan Dhanuskodi (eds.)

This ebook constitutes the refereed complaints of the 1st foreign convention on Advances in Parallel, dispensed Computing applied sciences and purposes, PDCTA 2011, held in Tirunelveli, India, in September 2011.
The sixty four revised complete papers have been rigorously reviewed and chosen from over four hundred submissions. delivering a good overseas discussion board for sharing wisdom and ends up in thought, method and functions of parallel, dispensed computing the papers handle all present matters during this box with particular concentrate on algorithms and functions, desktop networks, cyber belief and safety, instant networks, in addition to cellular computing and bioinformatics.

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Additional info for Advances in Parallel Distributed Computing: First International Conference on Parallel, Distributed Computing Technologies and Applications, PDCTA 2011, Tirunelveli, India, September 23-25, 2011. Proceedings

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Geographical and Energy-Aware Routing: A Recursive Data Dissemination Protocol for Wireless Sensor Networks, UCLA Computer Science Department Technical Report, UCLA-CSD TR-01-0023 (2001) 18. : TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: 15th International Parallel and Distributed Processing Symposium (IPDPS 2001), vol. 3, pp. V. Meenakshi1, V. Punitham1, and T. com Abstract. This paper presents a tool for the analysis, and simulation of direction-of-arrival (DOA) estimation in wireless mobile communication systems utilizing adaptive antenna arrays and evaluates the performance of a number of DOA estimation algorithms in frequency non-selective and slow fading multipath for multi input multi output (MIMO) system.

F(l) is a function of number of iterations, l being the number of iterations, and π decides the intra-cluster membership value of the input pattern X in the ith cluster as: 2   X − viold   ,0 ≤ X − v old ≤ τ 1 − 2 i 2    τ    2  X − viold    (old) ; τ)= 2 1 − π(X; vi , τ ≤ X − viold ≤ τ 2   τ     old 0, X − vi ≥ τ    (5) And f(l)= 1 k (l − 1) + 1 (6) Where k is a constant IAFC algorithm for the codebook design can be summarized by the following steps: 1. Initialize parameters τ and σ.

18% for Yale which is higher than most of the existing methods. Keywords: Face Recognition, Vector Quantization, Codebook, Integrated Adaptive Fuzzy Clustering, Self Organization Map. 1 Introduction In most situations face recognition is an effortless task for humans. Machine Recognition of faces from still and video images is emerging as an active research area spanning several disciplines such as image processing, pattern recognition, computer vision, neural networks etc [1]. Face recognition technology has numerous commercial and law enforcement applications [1].

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