This book gathers high-quality papers presented at the International Conference on Smart Trends for Information Technology and Computer Communications (Smart Com 2019), organized by the Global Knowledge Research Foundation (GR Foundation) from 24 to 25 January 2019. It covers the state-of-the-art and emerging topics pertaining to 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.
表中的内容
Comparison of Different Image Segmentation Techniques on MRI Image.- Business-Driven Blockchain-Mempool Model for Cooperative Optimization in Smart Grids.- Impact on the Information Security Management due to the Use of Social Networks in a Public Organization in Ecuador.- Appropriate Security Protocols to Mitigate the Risks in Electronic Money Management.- Acceptance and Readiness of Thai Farmers toward Digital Technology.- Design and Implementation of Rule Based Hindi Stemmer for Hindi Information Retrieval.- Research on the Development Trend of Ships Integrated Power System Based on Patent Analysis.- Road Travel Time Prediction Method Based on Random Forest Model.- Video Synchronization and Alignment using Motion Detection and Contour Filtering.- Quick insight of Research Literature using Topic Modeling.- Security Vulnerabilities of Open Stack Cloudand Security Assessment using Different Software Tools.- Smart Physical Intruder Detection System for Highly Sensitive Area.- Two level classication of Radar Targets using Machine Learning.- A Hyperledger Scheme for the Deployment of Smart Contracts in a Public Organization of Ecuador.- Web Mash-up Development & Security using AOP.- Enhanced Text Stemmer with Noisy Text Normalization for Malay Texts.- An Overview on Privacy Preservation and Public Auditing on Outsourced Cloud Data.- Segmentation of Handwritten Text using Bacteria Foraging Optimization.- Problems with PIR sensors in Smart Lighting+Security Solution and Solutions of Problems.- Multi-level Thresholding and Quantization for Segmentation of Color Images.
关于作者
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 at Nanjing Normal University. Since 2018, he has been a Full Professor at the Department of Informatics, University of Leicester, UK.
Prof. J.K. Mandal received his M.Sc. in Physics from Jadavpur University and his M.Tech.in Computer Science from the University of Calcutta, prior to completing his Ph.D. in Computer Science & Engineering at Jadavpur University in 2000. He began his career as a lecturer at NERIST, Arunachal Pradesh, in 1988. With 32 years of teaching and research experience, he has over 400 articles and seven books to his credit and 23 scholars have completed Ph.D. under him. Presently, he is working as a Professor of Computer Science & Engineering at Kalyani University, West Bengal. Prof. Chakchai So-In has been with the Department of Computer Science at Khon Kaen University since 2010. Dr. So-In received his B.Eng. and M.Eng. 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 more than 100 publications in prominent journals and proceedings with 10 books. He is also acting as editors, TPC, and reviewers for a number of Journals and Conferences. His research interests include Mobile Computing/Sensor Networks, Internet of Thing, Computer/Wireless/Distributed Networks, Cyber Security, and Intelligent Systems and Future Internet. He is also senior members of IEEE and ACM.
Prof. Nileshsingh V. Thakur is a Professor and Principal of Nagpur Institute of Technology, Nagpur, India. He completed his B.Eng. at the Government College of Engineering, Amravati, in 1992; his M.Eng. at SGB Amravati University in 2005; and his Ph.D. in Computer Science and Engineering at Visvesvaraya National Institute of Technology (VNIT), Nagpur, India, in 2010. His research interests are in Image & Video Processing, Advanced Optimization, Neural Networks, Sensor & Ad Hoc Networks, Pattern Recognition & Data Mining, etc. He has 27 years of teaching and research experience, and has published more than 80 papers in these areas.
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