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Titlebook: Advances in Power Electronics and Instrumentation Engineering; Second International Vinu V Das,Nessy Thankachan,Narayan C. Debnath Conferen

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發(fā)表于 2025-3-21 19:26:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Power Electronics and Instrumentation Engineering
期刊簡稱Second International
影響因子2023Vinu V Das,Nessy Thankachan,Narayan C. Debnath
視頻videohttp://file.papertrans.cn/150/149424/149424.mp4
發(fā)行地址Fast-track conference proceedings.State-of-the-art research.Up-to-date results
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Advances in Power Electronics and Instrumentation Engineering; Second International Vinu V Das,Nessy Thankachan,Narayan C. Debnath Conferen
影響因子This book constitutes the refereed proceedings of the SecondInternational Conference on Advances in Power Electronics andInstrumentation Engineering, PEIE 2011, held at Nagpur, India, in April2011.The 9 revised full papers presented together with 4 short papers and 7poster papers were carefully reviewed and selected from numeroussubmissions. The papers address current issues in the field of powerelectronics, communication engineering, instrumentation engineering,digital electronics, electrical power engineering, electrical machines,information technology, control systems, and the like.
Pindex Conference proceedings 2011
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Lecture Notes in Networks and Systemsar-Steiner- Tree (RST)-based algorithms for generating efficient and optimized network topologies. Experimental results on a variety of NoC benchmarks showed that our synthesis results were achieve reduction in power consumption and average hop count over custom topology implementation.
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1865-0929 current issues in the field of powerelectronics, communication engineering, instrumentation engineering,digital electronics, electrical power engineering, electrical machines,information technology, control systems, and the like.978-3-642-20498-2978-3-642-20499-9Series ISSN 1865-0929 Series E-ISSN 1865-0937
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Including Lanthanides and Actinidesand passed to character identification system. The method used to identify characters are Probabilistic Neural Network with 108 neurons which gives accuracy of 91.32%, Probabilistic Neural Network with 35 neurons which gives accuracy of 96.73% and Feed Forward Back Propagation Neural Network which gives accuracy of 96.73%.
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Lecture Notes in Networks and Systemsnsidering contingencies that are likely to affect the power system performance. In this paper by conducting Voltage stability and Line outage Contingency analysis the suitable location for voltage stability enhancement in a 9 bus Test systems is determined.
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