Kolhe / Trivedi / Tiwari Advances in Data and Information Sciences

Proceedings of ICDIS 2017, Volume 2
1. Auflage 2019
ISBN: 978-981-1302-77-0
Verlag: Springer Singapore
Format: PDF
Kopierschutz: Wasserzeichen (»Systemvoraussetzungen)

E-Book, Englisch, Band 39, 396 Seiten, eBook

Reihe: Lecture Notes in Networks and Systems

The book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Data and Information Systems (ICDIS 2017), held at Indira Gandhi National Tribal University, India from November 3 to 4, 2017. The book covers all aspects of computational sciences and information security. In chapters written by leading researchers, developers and practitioner from academia and industry, it highlights the latest developments and technical solutions, helping readers from the computer industry capitalize on key advances in next-generation computer and communication technology.

Zielgruppe

Research

Autoren/Hrsg.

Kolhe, Mohan L.

Trivedi, Munesh C.

Tiwari, Shailesh

Singh, Vikash Kumar

Inhaltsverzeichnis

Replica Control Following 1SR in DRTDBS Through Best Case of Transaction Execution.-  FPGA Implementation of a Fast Scalar Point Multiplier for an Elliptic Curve Processor.- A Bloom Filter Based Data Deduplication for Big Data.- ITDA: CUBE – Less Architecture for Effective Multidimensional Data Analysis.- On Using Priority Inheritance Based Distributed Static Two Phase Locking Protocol.- A New Way to Find Way Using Depth Direction A*.- ECG Biometric Analysis Using Walsh Hadamard Transform.- A Priority Heuristic Policy in Mobile Distributed Real Time Database System.- A Proposal for Optimization of Horizontal Scaling in Big Data Environment.- A Literature Review on Hadoop Ecosystem and Various Techniques of Bigdata Optimization.- Smart Mobile Bot Detection Through Behavioral Analysis.- Compendium Depiction on the Applications of Cloud Robotics for the Reclamation of Mankind.- A Framework for Data Storage Security in Cloud.- Dynamic Sentiment Analysis Using Multiple Machine LearningAlgorithms: A Comparative Knowledge Methodology.- Sentimental Analysis Using Tuned Ensemble Machine Learning Approach.

Über Autor(innen)

Professor (Dr) Mohan Kolhe
 is with the University of Agder, Norway, as Full Professor in Electrical Power Engineering with focus on smart grid and renewable energy in the Faculty of Engineering and Science. He has also received the offer of full professorship in smart grid from the Norwegian University of Science and Technology (NTNU). He has more than 25 years of academic experience in electrical and renewable energy systems at the international level. He is a leading renewable energy technologist and has previously held academic positions at the world’s prestigious universities, e.g., University College London, UK/Australia; University of Dundee, UK; University of Jyvaskyla, Finland; Hydrogen Research Institute, QC, Canada.
Prof. (Dr.) Munesh C.
 
Trivedi
currently works as a professor at the Computer Science and Engineering Department, ABES Engineering College, Ghaziabad, India. He has published 20 textbooks and 80 research papers in various leading international journals and conference proceedings. He has received Young Scientist and numerous other awards from national and international forums. He has organized several international conferences sponsored by IEEE, ACM and Springer. He is on the review panel of the IEEE Computer Society, the International Journal of Network Security, Pattern Recognition Letters and Computer & Education. He is Executive Committee Member of IEEE UP Section, IEEE India Council, and also IEEE Asia Pacific Region 10.
Prof. (Dr.) Shailesh Tiwari
currently works as a Professor in Computer Science and Engineering Department, ABES Engineering College, Ghaziabad, India. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of research are software testing, implementation of optimization algorithms, and machine learning techniques in various problems. He has published more than 50 publications in international journals and in proceedings of international conferences of repute. He is editing Scopus, SCI and E-SCI-indexed journals. He has organized several international conferences under the banner of IEEE and Springer. He is a senior member of the IEEE, Member of the IEEE Computer Society, Fellow of Institution of Engineers (FIE).
Dr. Vikash Kumar Singh
 is with Indira Gandhi National Tribal University, Amarkantak, MP, India, as Associate Professor in Computer Science with focus on arti?cial intelligence in the Faculty of Computronics. He has also received UGC-NET/JRF. He has more than 17 years of academic experience. He has completed MCA along with Ph.D. His academic and research work includes more than 250 research papers, and he has attended more than 15 national and international conferences, workshops, and seminars. He has been invited by many national/international organizations for delivering expert lectures/courses/keynote addresses/workshops.