This book presents a collection of high-quality, peer-reviewed research papers from the 6th International Conference on Information System Design and Intelligent Applications (INDIA 2019), held at Lendi Institute of Engineering & Technology, India, from 1 to 2 November 2019. It covers a wide range of topics in computer science and information technology, including data mining and data warehousing, high-performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing and cognitive computing.
Presents research papers written by active researchers in the field of intelligent systems
Discusses the outcomes of INDIA 2019, organized by Lendi Institute of Engineering & Technology, India
Serves as a reference resource for practitioners and researchers in academia and industryAutorentext
Suresh Chandra Satapathy is a Professor , School of Computer Engg, KIIT Deemed to be University, Bhubaneswar, India. His research interest includes machine learning, data mining, swarm intelligence studies and their applications to engineering. He has more than 140 publications to his credit in various reputed international journals and conference Proceedings. He has edited many volumes from Springer AISC, LNEE, SIST etc. He is a senior member of IEEE and Life Member of Computer society of India.
Vikrant Bhateja is Associate Professor, Department of ECE in SRMGPC, Lucknow. His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. He has around 150 quality publications in various international journals and conference proceedings. He is associate editor of IJSE and IJACI. He has edited more than 22 volumes of conference proceedings with Springer Nature and is presently EiC of IGI Global: IJNCR journal.
B. Janakiramaiah is a Prof in the Dept of CSE, PVPSIT, Vijayawada, India. He obtained his PhD in Computer Science from JNTU Hyderabad. He has ample experience being in Editorial board of Spinger AISC and LNNs of IC3T 2016 and also acted as reviewer for various international journals from Elsevier, springer, IOS press etc. His research domain is Intelligent system with Soft Computing. He has quality publications in international journals and also many publications in conf proceedings. He is a member of CSI, IEEE etc
Yen-Wei Chen received the B.E. degree in 1985 from Kobe Univ., Kobe, Japan, the M.E. degree in 1987, and the D.E. degree in 1990, both from Osaka Univ., Osaka, Japan. He was a research fellow with the Institute for Laser Technology, Osaka, from 1991 to 1994. From Oct. 1994 to Mar. 2004, he was an associate Professor and a professor with the Department of Electrical and Electronic Engineering, Univ. of the Ryukyus, Okinawa, Japan. He is currently a professor with the college of Information Science and Engineering, Ritsumeikan University, Japan. He is also a visiting professor with the College of Computer Science, Zhejiang University, China. He was a visiting professor with the Oxford University, Oxford, UK in 2003 and a visiting professor with Pennsylvania State University, USA in 2010.
His research interests include medical image analysis, computer vision and computational intelligence. He has published more than 300 research papers in a number of leading journals and leading conferences including IEEE Trans. Image Processing, IEEE Trans. SMC, Pattern Recognition. He has received many distinguished awards including ICPR2012 Best Scientific Paper Award, 2014 JAMIT Best Paper Award, Outstanding Chinese Oversea Scholar Fund of Chinese Academy of Science. He is/was a leader of numerous national and industrial research projects.
Acceptance of technology in the classroom: A qualitative analysis of Mathematics teachers' perceptions.- Smart Agriculture using IOT.- CSII-TSBCC:Comparative Study of IdentifyingIssues of TaskSchedulingof Bigdata in Cloud Computing.- De-Centralized Cloud Data Storage for Privacy Preserving of Data Using Fog.- MULTI LAYER PERCEPTRON BACKPROPAGATION ALGORITHM FOR PREDICTING BREAST CANCER.- IOT based Borewell Water Level Detection and Auto-Control of Submersible Pumps.- Institute Examcell Automation with Mobile Applica-tion Interface.- Plasmonic Square Ring Resonator Based Band-Stop Filter Using MIM Waveguide.- Interactive and Assistive Gloves for Post-Stroke Hand Rehabilitation.