New PDF release: Proceedings of the 2011 3rd International Conference on

By International Conference on Software Technology and Engineering (3rd 2011 Kuala Lumpur

ISBN-10: 0791859797

ISBN-13: 9780791859797

Lawsuits of the third foreign convention on software program know-how and Engineering (ICSTE 2011) held in Kuala Lumpur, Malaysia, August 12-13, 2011. Co-sponsored by means of college Putra Malaysia, Polytechnic collage Puerto Rico, Chengdu younger schooling & Consultancy, and IACSIT. the first target of ICSTE 2011 is to supply a platform for researchers, engineers, academicians in addition to commercial execs from worldwide to give their examine effects and improvement actions in software program know-how and Engineering. This convention presents possibilities for the delegates to switch new rules and alertness stories nose to nose, to set up company or examine kin and to discover international companions for destiny collaboration

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IEEE Int. Conf. on Acoustics, speech, and signal processing, Apr. 1979, vol. 27. PP 113. [6] Md. Rashidul Hasan, Mustafa Jamil, Md. Golam Rabbani, Md. Saifur Rahman. "Speaker Identification using Mel Frequency cepstral coefficients". 3rd International Conference on Electrical & Computer Engineering ICECE 2004, 28-30 December 2004, Dhaka, Bangladesh. [7] P. Senin, “Dynamic Time Warping Algorithm Review”. Information and Computer Science Department, University of Hawaii, USA, December 2008. W. Kadous, “Dynamic Time Warping”, [Online].

To compare the average lookup latency, we assume that the delay is 100ms from weak node to weak node, 50ms from weak node to strong node, and 25ms from strong node to strong node. We also assume that the percentage of the strong node vary from 10% to 100% of all routing nodes. 2 shows the relationship between the average lookup hops of local cache no hit and the percentage of strong capacity nodes for two traces respectively. 2 we can see that the average lookup hops of DHTCache is the least for two traces.

RSVM which works as follows: 1. Determine the vector by solving the dual optimization problem [8, 9, 10]. 2. Let and generate the following training set for SVM dual optimization problem by projecting the samples into a : subspace that is orthogonal to (7) 3. Terminate if . 4. Increment by 1 and go back to Step 2. It is shown that the previous recursive algorithm can conduct efficient dimensionality reduction by using the multilevel margin components. 3. PROPOSED MODEL The model for the proposed fingerprint identification method is given below in Fig.

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Proceedings of the 2011 3rd International Conference on Software Technology and Engineering : ICSTE 2011 : August 12-14, 2011, Kuala Lumpur, Malaysia by International Conference on Software Technology and Engineering (3rd 2011 Kuala Lumpur


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