Description
Smart Computing
Proceedings of the 1st International Conference on Smart Machine Intelligence and Real-Time Computing (SmartCom 2020), 26-27 June 2020, Pauri, Garhwal, Uttarakhand, India
Coordinators: Khan Mohammad Ayoub, Gairola Sanjay, Jha Bhola, Praveen Pushkar
Language: English
Subjects for Smart Computing:
Keywords
Arduino UNO; UNO; Power Consumption; GSM Module; Vice Versa; Data Sets; Membership Function; Random Forest; IoT Device; Arduino Ide; WSN; CNN Model; PID Controller; SRAM Cell; RGB; Execution Times; SVM Model; 6T SRAM; Industrial IoT; Image Denoising; FDM; Peripheral Devices; Gps Location; Deep Learning Techniques; Literature Review
· 17.4x24.6 cm · Hardback
Description
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The field of SMART technologies is an interdependent discipline. It involves the latest burning issues ranging from machine learning, cloud computing, optimisations, modelling techniques, Internet of Things, data analytics, and Smart Grids among others, that are all new fields. It is an applied and multi-disciplinary subject with a focus on Specific, Measurable, Achievable, Realistic & Timely system operations combined with Machine intelligence & Real-Time computing. It is not possible for any one person to comprehensively cover all aspects relevant to SMART Computing in a limited-extent work. Therefore, these conference proceedings address various issues through the deliberations by distinguished Professors and researchers. The SMARTCOM 2020 proceedings contain tracks dedicated to different areas of smart technologies such as Smart System and Future Internet, Machine Intelligence and Data Science, Real-Time and VLSI Systems, Communication and Automation Systems. The proceedings can be used as an advanced reference for research and for courses in smart technologies taught at graduate level.
Smart System and Future Internet. Machine Intelligence and Data Science. Real-Time and VLSI System. Communication and Automation Systems.
Dr. Mohammad Ayoub Khan (Senior Member, IEEE) received a Ph. D (Electrical Engg.) from Jamia Millia Islamia, New Delhi, India and a Master of Technology (Computer Science and Engineering) from Guru Gobind Singh Indraprastha, New Delhi, India. He worked with many leading organizations like C-DAC (Ministry of IT and Communications), Noida, Sharda University. Presently, he is an Associate Professor at the University of Bisha, Saudi Arabia with interests in the Internet of Things, RFID, wireless sensor networks, ad hoc networks, smart cities, industrial IoT, signal processing, NFC, routing in network-on-chip, real time and embedded systems. He has more than 15 years of experience in his research areas. He has published many research papers and books in reputed journals and international conferences. He contributes to the research community by undertaking various volunteer activities in the capacity of editor for many journals and as a conference chair.
Dr. Sanjay Gairola received the B.E. degree in electrical engineering (1991) from Motilal Nehru Regional Engineering College, Allahabad, India, and the M. Tech. and Ph.D. degrees in power electronics, electrical machines, and drives (2001 and 2008 respectively) from the Indian Institute of Technology (IIT) Delhi, New Delhi, India. He is currently working as Professor and Head with the EE Department, G. B. Pant Institute of Engineering and Technology (GBPIET), Pauri, Uttarakhand, India. His current research interests include power electronics, electric machines, drives, power quality and renewable energy systems. Dr. Gairola is an IEEE member and life member of the Indian Society for Technical Education.
Dr. Bhola Jha received B. Sc in Electrical Engineering from M. I. T, Muzaffarpur, Bihar, India. He received M. Tech degree in High Voltage Engineering from Jawaharlal Nehru Technological University, Hyderabad and Ph. D in Electrical Engineering from Osmani
