Embedded Systems and Artificial Intelligence Proceedings of ESAI 2019, Fez, Morocco

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 H8 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 betweenA 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.

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 isGuest 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.