This edited volume presents the latest high-quality technical contributions and research results in the areas of computing, informatics, and information management. The book deals with state-of art topics, discussing challenges and possible solutions, and explores future research directions. The main goal of this volume is not only to summarize new research findings but also place these in the context of past work. This volume is designed for professional audience, composed of researchers, practitioners, scientists and engineers in both the academia and the industry.
Les mer
This edited volume presents the latest high-quality technical contributions and research results in the areas of computing, informatics, and information management. This volume is designed for professional audience, composed of researchers, practitioners, scientists and engineers in both the academia and the industry.
Les mer
1. Wait Event Tuning in Database Engine.- 2. Machine Learning using k-Nearest Neighbor for Library Resources Classification in Agent based Library Recommender System.- 3. An Efficient Dynamic Scheduling of Tasks for Multi-Core Real Time Systems.- 4. Model based approach for Shadow Detection of Static Images.- 5. Light Fidelity (Li-Fi): In Mobile Communication and Ubiquitous Computing Applications.- 6. Performance Analysis of De Noising Filters MR Images.- 7. A Detailed View on SecureString 3.0.- 8. Performance Comparison for EMD based Classification of Unstructured Acoustic Environments using GMM and K-NN Classifiers.- 9. Performance of Multimodal Biometric System Based on Level and Method of Fusion.- 10. A DSK based Authentication Technique for Secure Smart Grid Wireless Communication.- 11. A Smart Security Framework for High Risk Locations Using Wireless Authentication by Smart Phone.- 12. High Performance Computation Analysis for Medical Images using High Computational Methods.-13. Terrorist Scanner Radar and Multiple Object Detection System.- 14. Inexact Implementation of Wavelet Transform and its Performance Evaluation through Bit Width Reduction.- 15. A Vulnerability Analysis Mechanism Utilizing Avalanche Attack Model for Dependency Based Systems.- 16. Performance of Statistical and Neural Network Method for Prediction of Survival of Oral Cancer Patients.
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This edited volume presents latest high-quality technical contributions and research results in the areas of computing, informatics, and information management. The book deals with state-of-the-art topics, discussing challenges and possible solutions, and explores future research directions. The main goal of this volume is not only to summarize new research findings but also place these in the context of past work. This volume is designed for a professional audience, composed of researchers, practitioners, scientists and engineers in both academia and the industry.
Les mer
Covers recent advances in computing, informatics, and information management Presents original unpublished work from an international mix of reserachers Focuses on applications Includes supplementary material: sn.pub/extras
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Produktdetaljer

ISBN
9789811026294
Publisert
2017-01-20
Utgiver
Vendor
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Biographical note

Dr. Amlan Chakrabarti is Professor and Coordinator at the A.K.Choudhury School of Information Technology, University of Calcutta, India. He has done his Doctoral research on Quantum Computing and related VLSI design at Indian Statistical Institute, Kolkata, 2004-2008. He was a Post-Doctoral fellow at the School of Engineering, Princeton University, USA during 2011-2012. He is the recipient of BOYSCAST fellowship award from the Department of Science and Technology, Government of India in 2011 and Indian National Science Academy Visiting Scientist Fellowship in 2014. He has published around 80 research papers in refereed journals and conferences. He is a Sr. Member of IEEE, Member of ACM and life member of Computer Society of India. He has been the reviewer of IEEE Transactions on Computers, IET Computers & Digital Techniques, Simulation Modeling Practice and Theory, Journal of Electronic Testing: Theory and Applications. His research interests are: Quantum Computing,VLSI design, Embedded System Design, Video and Image Processing Algorithms and pattern recognition.

Dr. Neha Sharma is the Director of Zeal Education Society's Institute of Business Administration, Pune, Maharashtra, India. She has completed her PhD from the prestigious Indian School of Mines, Dhanbad. She is a Student Avtivity Committee Chair for IEEE Pune Section. She has organized several national and international conferences and seminars and is a Chief Editor for the international journal “International Journal of Advances in Computing and Management”. She has published several papers in reputed indexed journals. She has 11 years of teaching experience and 4 years of industrial experience. Her areas of research interest include Data Mining, Database Design, Analysis and Design, Artificial intelligence, Software Engineering and Metadata.

Valentina E. Balas is currently Associate Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, University “Aurel Vlaicu” Arad (Romania).She holds a PhD in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. She is author of more than 160 research papers in refereed journals and international conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP), member in Editorial Board member of several national and international journals and is evaluator expert for national and international projects. She is a member of EUSFLAT, ACM and a Senior Member IEEE, member in TC – Fuzzy Systems (IEEE CIS), member in TC - Emergent Technologies (IEEE CIS), member in TC – Soft Computing (IEEE SMCS) and also a member in IFAC - TC 3.2 Computational Intelligence in Control.