商品描述
Real time Implementation of Articial Neural Network in FPGA Platform.- Design of a 0,18um CMOS Inductor - based Bandpass Microwave Active Filter.- Improvement of the Authentication on in-Vehicle Controller Area Networks.- Comparative Evaluation of Speech Recognition systems Based on Different Toolkits.- Stability Analysis and H∞ Performance for Nonlinear Fuzzy Networked Control Systems with Time-Varying Delay.- Driver Behavior assistance in Road Intersections.- Performance of CE-OFDM System over AWGN and Frequency-Selective Channels.- Towards a Dynamical Adaptive Finite Volume Core for Urban Flow Simulations.- An Efficiency Study of Adaptive Median Filtering for Image Denoising, Based on A Hardware Implementation.- Processing Time and Computing Resources Optimization in a Mobile Edge Computing Node.- Viscous Dissipation and Heat Source/Sink Effects on Convection Heat Transfer in a Saturated Porous Medium.- Fast and Efficient Decoding Algorithm Developed From Concatenation between A Symbol-By-Symbol Decoder and A Decoder Based On Syndrome Computing and Hash Techniques.- SWIMAC: An Ultra-Low Power Consumption MAC Protocol for IR-UWB based WSN.- An Optimal Design of a Short-Channel RF Low Noise Amplifier Using a Swarm Intelligence Techniques.
商品描述(中文翻譯)
即時在FPGA平台上實現人工神經網絡。- 設計一個0.18微米CMOS電感基帶通微波主動濾波器。- 改進車載控制區域網絡的身份驗證。- 基於不同工具包的語音識別系統的比較評估。- 非線性模糊網絡控制系統的穩定性分析及H∞性能，考慮時間變化延遲。- 道路交叉口的駕駛行為輔助。- CE-OFDM系統在AWGN和頻率選擇性通道上的性能。- 朝向城市流動模擬的動態自適應有限體積核心。- 基於硬體實現的自適應中值濾波在圖像去噪中的效率研究。- 移動邊緣計算節點的處理時間和計算資源優化。- 黏性耗散和熱源/熱沉對飽和多孔介質中對流熱傳遞的影響。- 從符號逐符號解碼器與基於綜合計算和哈希技術的解碼器之間的串聯開發的快速高效解碼算法。- SWIMAC：一種超低功耗的MAC協議，適用於基於IR-UWB的無線感測網絡。- 使用群體智慧技術的短通道RF低噪聲放大器的最佳設計。
作者簡介
Vikrant Bhateja is Associate Professor, Department of Electronics & Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, and also the Head (Academics & Quality Control) in the same college. He is doctorate in Biomedical Imaging & Signal Processing and has a total academic teaching experience of 16 years with around 125 publications in reputed international conferences, journals, and online book chapter contributions. His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. Dr. Vikrant has edited 15 proceeding books/editorial volumes with Springer Nature. He is Editor-in-Chief of IGI Global--International Journal of Natural Computing and Research (IJNCR). He is also Associate Editor in International Journal of Synthetic Emotions (IJSE) and International Journal of Ambient Computing and Intelligence (IJACI) under IGI Global Press. He is Guest Editor in Special Issues in reputed Scopus/SCIE indexed journals under Springer Nature: "Evolutionary Intelligence" and "Arabian Journal of Science and Engineering". Suresh Chandra Satapathy holds a Ph.D. in Computer Science, currently working as Professor at KIIT (Deemed to be University), Bhubaneshwar, Odisha, India. He held the position of the National Chairman Div-V (Educational and Research) of Computer Society of India and is also a senior member of IEEE. He has been instrumental in organizing more than 20 international conferences in India as Organizing Chair and edited more than 30 book volumes from Springer LNCS, AISC, LNEE, and SIST Series as Corresponding Editor. He is quite active in research in the areas of Swarm Intelligence, Machine Learning, and Data Mining. He has developed a new optimization algorithm known as Social Group Optimization (SGO) published in Springer Journal. He has delivered a number of keynote address and tutorials in his areas of expertise in various events in India. He has more than 100 publications in reputed journals and conference proceedings. Dr. Suresh is in editorial board of IGI Global, Inderscience, Growing Science journals and also Guest Editor for Arabian Journal of Science and Engineering published by Springer. Dr. Hassan SATORI is Associate Professor, Department of Computer Science, Faculty of Sciences, Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco. He holds Ph.D. in Speech Recognition and Signal Processing in 2009. He received M.Sc. in Physics from the Mohamed Premier University and Ph.D. in nanotechnology and computer simulation, also from the same university, in 2001. From 2001 to 2002, he was a postdoctoral fellow in physics, mathematical modeling, and computer simulation at the Chemnitz University of Technology, Germany, and was then a postdoctoral fellow in computer simulation in the Department of Interface Chemistry and Surface Engineering, Max-Planck-Institut, Düsseldorf, Germany, (2003-2005). Dr. Hassan has large academic teaching and research experience in the fields of the mathematical modeling, speech and signal processing machine learning. His research interests include areas like: nanotechnology, computer simulation, speech, signal processing, speech analysis, speech recognition, natural language processing, and artificial intelligence.
作者簡介(中文翻譯)
Vikrant Bhateja 是印度勒克瑙 Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC) 電子與通信工程系的副教授，同時也是該學院的學術與質量控制部門負責人。他擁有生物醫學影像與信號處理的博士學位，擁有 16 年的教學經驗，並在國際會議、期刊及線上書籍章節中發表了約 125 篇論文。他的研究領域包括數位影像與視頻處理、計算機視覺、醫學影像、機器學習、模式分析與識別。Vikrant 博士編輯了 15 本由 Springer Nature 出版的會議論文集/編輯卷。他是 IGI Global 的《國際自然計算與研究期刊》（IJNCR）的主編，並擔任 IGI Global Press 的《合成情感國際期刊》（IJSE）和《環境計算與智能國際期刊》（IJACI）的副編輯。他還是 Springer Nature 出版的知名 Scopus/SCIE 索引期刊的特刊客座編輯，包括《進化智能》和《阿拉伯科學與工程期刊》。
Suresh Chandra Satapathy 擁有計算機科學的博士學位，目前在印度奧迪沙邦布巴內斯瓦爾的 KIIT（被認定為大學）擔任教授。他曾擔任印度計算機學會的全國主席 Div-V（教育與研究），並且是 IEEE 的資深會員。他在印度組織了超過 20 場國際會議，擔任組織主席，並作為對應編輯編輯了超過 30 本來自 Springer LNCS、AISC、LNEE 和 SIST 系列的書籍。他在群體智能、機器學習和數據挖掘等領域的研究非常活躍。他開發了一種新的優化算法，稱為社會群體優化（Social Group Optimization, SGO），並在 Springer 期刊上發表。他在印度的各種活動中發表了多場主題演講和教程，並在知名期刊和會議論文集中發表了超過 100 篇論文。Suresh 博士是 IGI Global、Inderscience 和 Growing Science 期刊的編輯委員會成員，並且是 Springer 出版的《阿拉伯科學與工程期刊》的客座編輯。
Hassan SATORI 博士是摩洛哥菲斯 Sidi Mohamed Ben Abdellah 大學科學學院計算機科學系的副教授。他於 2009 年獲得語音識別與信號處理的博士學位。他在 Mohamed Premier 大學獲得物理學碩士學位，並於 2001 年在同一所大學獲得納米技術與計算機模擬的博士學位。從 2001 年到 2002 年，他在德國 Chemnitz 工業大學擔任物理、數學建模和計算機模擬的博士後研究員，隨後在德國杜塞爾多夫的 Max-Planck-Institut 的界面化學與表面工程系擔任計算機模擬的博士後研究員（2003-2005）。Hassan 博士在數學建模、語音與信號處理、機器學習等領域擁有豐富的教學與研究經驗。他的研究興趣包括納米技術、計算機模擬、語音、信號處理、語音分析、語音識別、自然語言處理和人工智能等領域。
