Algorithms for Intelligent Systems / Recent Trends in Communication and Intelligent Systems

Fast Convergent Gravitational Search Algorithm.- An Experimental Perusal of Impedance Plethysmography for Biomedical Application.- Compressive Sensing: An Efficient Approach for Image Compression & Recovery.- Optimal Location of Renewable Energy Generator in Deregulated Power Sector.- A Genetic Improved Quantum Cryptography Model to Optimize Network Communication.- Neural Networks - Based Framework for Detecting Chemically Ripened Banana Fruits.- Low Power CMOS Low Transconductance OTA for Electrocardiogram Applications.- Spiral Resonator Microstrip Patch Antenna with Metamaterial on Patch and Ground.- A P-OLSR AND E-OLSR Routing Protocols For Urban Vehicular Ad Hoc Networks (VANETs).- Evaluation of Similarity Measure to find Coherence.- Bagged Random Forest approach to classify Sentiments based on Technical Words.- Healthcare Services Customers' ICT-Related Expectations and Experiences.- Analysis of SNR Improvement Using Compressive Sensing for Musical Instruments after Signal Compression.- A Framework to Impede Phishing Activities Using Neural Net and Website Features.- Overcoming the Security Shortcomings between Open vSwitch and Network Controller.

Harish Sharma is an Associate Professor at Rajasthan Technical University, Kota, in the Department of Computer Science & Engineering. He has worked at Vardhaman Mahaveer Open University, Kota, and Government Engineering College, Jhalawar. He received his B.Tech. and M.Tech. degree in Computer Engineering from Government Engineering College, Kota, and Rajasthan Technical University, Kota, in 2003 and 2009, respectively. He obtained his Ph.D. from ABV-Indian Institute of Information Technology and Management, Gwalior, India. He is secretary and one of the founder members of Soft Computing Research Society of India. He is a life-time member of Cryptology Research Society of India, ISI, Kolkata. He is an associate editor of "International Journal of Swarm Intelligence (IJSI)" published by Inderscience. He has also edited special issues of the journals "Memetic Computing" and "Journal of Experimental and Theoretical Artificial Intelligence". His primary area of interest is nature-inspired optimization techniques. He has contributed in more than 45 papers published in various international journals and conferences.



Dr. Pundir has received B.E. degree in Electronics & Communication Engineering from University of Rajasthan, M.Tech. degree in VLSI Design Engineering from Rajasthan Technical University, Kota, India, and Ph.D. in VLSI Testing and Embedded System Design from Poornima University, Jaipur. He is currently working as a Professor in the Department of Electronics and Communication Engineering at Arya College of Engineering & IT, Jaipur. His current research interests are memory testing and built-in self-testing using embedded system design. He is a member of IEEE Electron Device Society and professional member of ACM, life member of ISTE, life member of CSI, India.



Dr. Neha Yadav received her Ph.D. in Mathematics from Motilal Nehru National Institute of Technology, (MNNIT) Allahabad, India, in the year 2013. She