Smart Trends in Computing and Communications: Proceedings of SmartCom 2020

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.

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.