This book gathers high-quality papers presented at the International Conference on Smart Trends for Information Technology and Computer Communications (SmartCom 2020), organized by the Global Knowledge Research Foundation (GR Foundation) from 23 to 24 January 2020. It covers the state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.

Proposes new technologies and discusses future solutions for design infrastructure Includes the latest work from researchers and experts in the field Offers a valuable resource for advanced research

Autorentext

Prof. Yu-Dong Zhang received his B.S. and M.S. degrees from Nanjing University of Aeronautics and Astronautics in 2004 and 2007, prior to completing his Ph.D. in Signal and Information Processing at Southeast University in 2010. From 2010 to 2012, he worked at Columbia University as a postdoc. From 2012 to 2013, he worked as a research scientist at Columbia University and New York State Psychiatric Institute. From 2013 to 2017, he worked as a Full Professor and doctoral advisor at the School of Computer Science and Technology, Nanjing Normal University. Since 2018, he has been a Full Professor at the Department of Informatics, University of Leicester, UK.

Prof. Tomonobu Senjyu received his B.S. and M.S. degrees in Electrical Engineering from the University of the Ryukyus, Nishihara, Japan, in 1986 and 1988, respectively, and his Ph.D. in Electrical Engineering from Nagoya University, Japan, in 1994. He is currently a Full Professor at the Department of Electrical and Electronics Engineering, University of the Ryukyus. His research interests include renewable energy, power system optimization and operation, power electronics, and advanced control of electrical machines.

Prof. Chakchai So-In has been with the Department of Computer Science at Khon Kaen University since 2010. Dr. So-In received his B.E. and M.E. degrees from Kasetsart University (KU), Bangkok, Thailand, in 1999 and 2001, respectively. He also completed M.S. and Ph.D. degrees in Computer Engineering at the Department of Computer Science and Engineering, Washington University, in St. Louis (WUSTL), MO, USA, in 2006 and 2010. He has authored more than 100 publications in prominent journals and proceedings, together with 10 books. His research interests include mobile computing/sensor networks, Internet of Things, computer/wireless/distributed networks, cyber security, intelligent systems and the future Internet. He is a senior member of the IEEE and ACM.

Dr. Amit Joshi is currently Director of the Global Knowledge Research Foundation, and an entrepreneur and researcher. Holding a B.Tech. in Information Technology and M.Tech. in Computer Science and Engineering, he has conducted extensive research in the areas of cloud computing and cryptography in medical imaging, with a focus on analyzing current government strategies and global forums concerning security. Dr. Joshi has more than 10 years of experience in academia and industry, having worked at prestigious organizations. He is an active member of the ACM, IEEE, CSI, AMIE, IACSIT Singapore, IDES, ACEEE, NPA, and many other professional societies. Currently, he is the International Chair of InterYIT at the International Federation of Information Processing (IFIP, Austria). He has presented and published more than 50 papers in national and international journals/conferences of the IEEE and ACM, and has edited more than 20 books for Springer, ACM, and other reputed publishers. He has also organized more than 40 national and international conference and workshops in association with the ACM, Springer, and the IEEE, e.g. in India, the UK, Thailand, and Europe.

Inhalt
Accurate Detection Of Facial Landmark Points Using Local Intensity Information For Emotion Detection.- Statistical Approach to Detect Alzheimer's Disease and Autism Spectrum Related Neurological Disorder Using Machine Learning.- The Use of Mobile Apps to Facilitate Customers' Choice-Making When Grocery Shopping.- Implementation of Best Hybrid Adaptive and Intelligent MIMO Detector on Reconfigurable Architecture for 5G LTE/ IoT Environment.- Data Encryption as Security Measure in IoT Enabled Healthcare.- Graph Degree Linkage Clustering for Identify Student's Performance on Kompetisi Sains Madrasah in Indonesia.- Designing Memristor Based Timing Circuits and Performance Comparison with CMOS Counterparts.- Identify Elementary Student Distribution Based on Kompetisi Sains Madrasah Data Using Probabilistic Distance Clustering.- A review on Indian UID based automated electoral roll generation mechanism shunning duplication and redundancy.- Identify Education Quality Based on Islamic Senior High School Data in Kompetisi Sains Madrasah Using Fuzzy C-Means Clustering.- Obstacle Avoidance with Sensors using Soft Computing Techniques. <p