3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

TRAMA

This book features the proceedings of The EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2020), which took place 18 – 19 December 2020. The papers feature detail on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on technologies from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform.

SOMMARIO

1 A Hybrid Algorithm for Document Clustering Using Optimized Kernel Matrix and Unsupervised ConstraintsSiamala Devi S., Deva Priya M, Anitha Rajakumari P., Kanmani R., Poorani G., Padmavathi S., Niveditha G. : : : 2 A Multi-Objective Optimal Trajectory Planning for Autonomous Vehicles using Dragonfly AlgorithmSyama R, Mala C3 A Novel Coherent Architecture for Traffic Signal Management in Internet of ThingsUmaa Mageswari S, Mala C, Santhanavijayan A4 Color-to-Grayscale conversion for images with non-uniform chromatic distribution using Multiple RegressionParamasivam ME, Sabeenian RS, Dinesh PM, Anand R, Eldho Paul5 Concurrent Spatial Color Information Processing for Video Based Vehicle Detection ApplicationsManipriya Sankaranarayanan, Mala C, Samson Mathew6 Efficient Routing Strategies For Energy Management in Wireless Sensor NetworkRaviteja Kocherla, Ramesh Vatambeti7 Emperor Penguin Optimization Algorithm and M-Treebased multi-constraint Mul-ticast Ad hoc On demand Distance Vector Routing Protocol for MANETs Deva Priya M, Rajkumar M., Karthik S., Christy Jeba Malar A., Kanmani R, Sandhya G., Anitha Rajakumari P.8 Fog Assisted Real-Time Coronary Heart Disease Risk Detection in IoT Based Healthcare SystemJUBAIR AHMED L, ANISHFATHIMA B, GOKULAVASAN B, MAHABOOB M9 Food Demand Forecast For Online Food Delivery Service Using CatBoost ModelParvathi R, Pattabiraman V, Ansh pujar10 GLCM Feature Based Texture image classification using Support vector MachineAnand R, Shanthi T, Paramasivam M E, Sabeenian RS, Manju K11 Improved Rider Optimization Algorithm-based Link Aware Fault Detection (IROA-LAFD) scheme for securing Mobile Ad Hoc Networks (MANETs)Sengathir Janakiraman, Deva Priya M, Aishwaryalakshmi G., Suganya T., Sam Peter S., Karthik S., Christy Jeba Malar A.12 Media Access Protocol for Wireless Sensor Network using Active Reception Scheme Based Energy Efficient TechniqueAnushree Goud, Dr. Bindu Garg13 Predictive Crime Analytics Using Linear Regression and K meansChemmalar Selvi G, Preeti Rachel Jasper14 Reorganizing Virtual Machines as Docker Containers for Efficient Data CentersVasantha Kumari N, Arulmurugan Ramu15 Secured On Demand Adaptive Routing protocol for Data Transmission in IoT EnvironmentP.Deepavathi -, Dr.C.Mala 16 Service Measurement Index based Cloud Service Selection using Order Preference by Similarity to Ideal Solution based on Intuitionistic Fuzzy ValuesThasni T, C Kalaiarasan, K A Venkatesh17 Similarity analytics for semantic text using Natural Language ProcessingKarthiga M, sountharrajan S, Suganya E, Bazila Banu A, Sankarananth S, Sathish Kumar BAuthor Index

AUTORE

Dr. Anandakumar Haldorai, Professor (Associate) and Research Head in Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India. He has received his Master’s in Software Engineering and PhD in Information and Communication Engineering from PSG College of Technology under, Anna University, Chennai. His research areas include Big Data, Cognitive Radio Networks, Mobile Communications and Networking Protocols. He has authored more than 125 research papers in reputed International Journals and IEEE conferences. He has authored 11 books and many book chapters with reputed publishers such as Springer and IGI. He is Editor in Chief of KeAi – Elsevier IJIN and served as a reviewer for IEEE, IET, Springer, Inderscience and Elsevier journals. He is also the guest editor of many journals with Elsevier, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in several conferences. He is senior member of IEEE, IET, ACM and Fellow member of EAI research group. Dr. Arulmurugan Ramu, is a Professor, Presidency University, Bangalore, India. His research focuses on the automatic interpretation of images and related problems in machine learning and optimization. His main research interest is in vision, particularly high-level visual recognition. He has authored more than 35 papers in major computer vision and machine learning conferences and journals. He is the recipient of Ph.D. degrees in Information and Communication Engineering from the Anna University at Chennai, M.Tech in Information Technology Anna University of Technology and B.Tech degree in Information Technology. He is guided many Ph.D. research scholar under the area of Image Processing using Machine Learning. He is an Associate Editor of Inderscience IJISC journal. He is awarded as Best Young Faculty Award 2018 and nominated for Best Young Researcher Award (Male) by International Academic and Research Excellence Awards (IARE-2019). Dr. Sudha Mohanram, has graduated from Government College of Engineering, Salem and has obtained her Master’s in Engineering from Coimbatore Institute of Technology. She has completed her PhD in Electrical Engineering in Anna University Chennai in the year 2010. She started her teaching profession as a Lecturer in Government College of Technology, Coimbatore. She possesses 20 years of teaching experience. When she was about 13 years into teaching profession, her family founded Sri Eshwar College of Engineering in 2008. She has been playing the role of Secretary till 2011 and became the Principal of the institution in 2011. She has steered the institution to be one of the most sought after institutions in Coimbatore, within a short span of time through its laudable achievement in Academic excellence and Placement. She has published many papers in leading journals. She is a member of IEEE and EAI research group. Dr. Joan Lu is Professor in Informatics at the University of Huddersfield (UK). Her extensive research covers information access, retrieval and visualization, XML and other data technologies, data management systems, security issues, wireless, and Internet computing. She has been an invited speaker for various industrial-oriented events, guest speaker in UK higher education academy (HEA) on Mobile technology in classrooms, 2012, keynote speaker for international conferences (INFOCCOM13, in Portugal and The Scientific Conference 2014, in Kurdistan). She is a research grant reviewer for The Swiss National Science Foundation (SNSF), and an external adviser for a collaboration between Leeds Mat University, UK and Sakarya University in Turkey. She was principal investigator for three EU projects from 2008 to 2012. She published 5 academic research books and over 180 papers. Professor Lu has acted as the founder and a program chair for the International XML Technology workshop and XMLTech (USA) for 11 years (2003-2011).

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783030787493
• Collana: EAI/Springer Innovations in Communication and Computing
• Dimensioni: 235 x 155 mm Ø 565 gr
• Formato: Copertina rigida
• Illustration Notes: XII, 250 p. 130 illus., 113 illus. in color.
• Pagine Arabe: 250
• Pagine Romane: xii