Advances in Control, Signal Processing and Energy Systems : Select Proceedings of CSPES 2018 (Lecture Notes in Electrical Engineering)

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Advances in Control, Signal Processing and Energy Systems : Select Proceedings of CSPES 2018 (Lecture Notes in Electrical Engineering)

Basu, Tapan Kumar (EDT)/ Goswami, Swapan Kumar (EDT)/ Sanyal, Nandita (EDT)

ウェブストア価格 ¥34,943（本体¥31,767）
Springer Verlag, Singapore（2020/09発売）
外貨定価 US$ 169.99
ポイント 317pt

オンデマンド(OD/POD)版です。キャンセルは承れません。

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製本 Paperback:紙装版/ペーパーバック版／ページ数 229 p.
言語 ENG
商品コード 9789813293489
DDC分類 620

Full Description

This book comprises select proceedings of the National Conference on Control, Signal Processing, Energy and Power Systems (CSPES 2018). The book covers topics on both theoretical control systems and their applications across engineering domains such as automatic control, robotics, and adaptive controller design. It discusses several signal processing domains such as image, speech, biomedical signal processing and their applications in IOT, control, robotics, power and energy systems. The book emphasizes both conventional and non-conventional energy, environment, and green processes as related to energy and power systems engineering. The contents of this book will prove to be useful for students, researchers, academics, and professionals.

Anti-windup control of nonlinear cascade systems with particle swarm optimization parameter tuning.- Pollutant Profile Estimation Using Unscented Kalman Filter.- Memristive Chaotic Systems in Nonlinear Dynamics - A Review.- Determination of Model Order of an Electrochemical System: A case study with Electronic Tongue.- Problem Diagnostic Method for IEC61850 MMS Communication Network.- IntelliNet: An Intelligence Delivery Network.- A Hybrid Lexicon-Based Sentiment & Behaviour Prediction System.- Object Detection in Clustered Scene using Point Feature Matching for Non- repeating Texture Pattern.- Human Behavior Recognition: An 1 s ll- KSVD based Dictionary Learning and Collaborative Representation based Classification.- Detection and Classification of Breast Cancer in Mammographic Images Using Efficient Image Segmentation Technique.