New PDF release: Advances in Computer Science, Engineering & Applications

By David C. Wyld (editor), Jan Zizka (editor), Dhinaharan Nagamalai (editor)

ISBN-10: 3642301568

ISBN-13: 9783642301568

ISBN-10: 3642301576

ISBN-13: 9783642301575

The overseas convention sequence on machine technological know-how, Engineering & functions (ICCSEA) goals to assemble researchers and practitioners from academia and to target realizing computing device technological know-how, engineering and purposes and to set up new collaborations in those components. the second one overseas convention on desktop technology, Engineering & purposes (ICCSEA-2012), held in Delhi, India, in the course of might 25-27, 2012 attracted many neighborhood and overseas delegates, providing a balanced mix of mind and learn either from the East and from the West. Upon a strenuous peer-review technique the easiest submissions have been chosen resulting in a thrilling, wealthy and a top quality technical convention application, which featured high-impact shows within the most recent advancements of assorted parts of computing device technology, engineering and functions study.

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Extra resources for Advances in Computer Science, Engineering & Applications Proceedings of the Second International Conference on Computer Science, Engineering and Applications (ICCSEA 2012), May 25-27, 2012, New Delhi, India

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There is no known single optimization method available for solving all optimization problems. The modern optimization methods are very powerful and popular methods for solving complex engineering problems. These methods are particle swarm optimization algorithm, neural networks, genetic algorithms, artificial immune systems, and fuzzy optimization. Generation of Orthogonal DFCW Using ACC_PSO for MIMO Radar 17 The particle Swarm concept originated as a simulation of simplified social systems. The original intent was to graphically simulate the graceful but unpredictable choreography of a bird flock.

17] 3. Template matching: comparison with several stored standard patterns to describe the face as a whole or the facial features separately. 4. Appearance-based methods: the models are learned from a set of training images that capture the representative variability of faces. C. Wyld et al. ): Advances in Computer Science, Eng. , AISC 166, pp. 31–40. com 32 S. Sarkar 2 Approach As all the algorithms for facial recognition is based on certain set of specified features or template matching, a raw image input leads to over identification of features from the background region.

C. Wyld et al. ): Advances in Computer Science, Eng. , AISC 166, pp. 13–23. com © Springer-Verlag Berlin Heidelberg 2012 14 B. Roja Reddy and M. Uttara Kumari codes. The performance criteria of a pulse compression sequence are judged by their autocorrelation properties [2]. The orthogonal waveforms used by the MIMO radar systems must be carefully designed to avoid the self-interference and detection confusion. For high range resolution and multiple target resolution, the aperiodic autocorrelation functions of sequences should have low of peak sidelobes level.

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Advances in Computer Science, Engineering & Applications Proceedings of the Second International Conference on Computer Science, Engineering and Applications (ICCSEA 2012), May 25-27, 2012, New Delhi, India by David C. Wyld (editor), Jan Zizka (editor), Dhinaharan Nagamalai (editor)

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