Cognitive Informatics and Soft Computing Proceeding of CISC 2019

The book presents new approaches and methods for solving real-world problems. It highlights, in particular, innovative research in the fields of Cognitive Informatics, Cognitive Computing, Computational Intelligence, Advanced Computing, and Hybrid Intelligent Models and Applications. New algorithms and methods in a variety of fields are presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of Computer Science, Artificial Intelligence, Cybernetics, Automation Control Theory, and Software Engineering.

 

Chapter 1. Design of Power Efficient and High-Performance Architecture to Spectrum Sensing Applications Using Cyclostationary Feature Detection.- Chapter 2. Detection of Epileptic Seizure based on Relief Algorithm and Multi Support Vector Machine.- Chapter 3. Block Chain Based Shared Security Architecture.- Chapter 4. Assessment of Table Pruning and Semantic Interpretation for Sentiment Analysis using BRAE Algorithm.- Chapter 5. Feature Extraction and Classification between control and Parkinson’s using EMG signal.- Chapter 6. Utilization of Data Analytics Based Approaches for Hassle Free Prediction Parkinson Disease.- Chapter 7. A System for the Study of Emotions with EEG Signals using Machine Learning and Deep Learning.- Chapter 8. Treble band RF energy harvesting system for powering smart textiles.- Chapter 9. Performance analysis of data communication using hybrid NoC for Low Latency and high throughput on FPGA.- Chapter 10. Detection and Prediction of Schizophrenia using MagneticResonance Images and Deep Learning.- Chapter 11. Intrusion Detection Systems (IDS) – An Overview with a Generalized Framework.- Chapter 12. Hybrid machine learning model for context aware Social IoT using location based service under both static and mobility conditions.- Chapter 13. An Efficient Fuzzy Logic Control Based Soft Computing Technique for Grid Tied Photovoltaic System.- Chapter 14. Prediction of Academic Performance of Alcoholic Students using Data Mining Techniques.- Chapter 15. Big Data Analysis and Classification of Bio-medical Signal using Random Forest Algorithm.

 

Pradeep Kumar Mallick is currently working as Associate Professor in the School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Odisha, India. He has completed his Post-Doctoral Fellow (PDF) in Kongju National University, South Korea; Ph.D. from Siksha ‘O’ Anusandhan University; M.Tech. (CSE) from Biju Patnaik University of Technology (BPUT); and M.C.A. from Fakir Mohan University, Balasore, India. Besides academics, he is also involved in various administrative activities, Member of Board of Studies, Member of Doctoral Research Evaluation Committee, Admission Committee, etc. His areas of research include Algorithm Design and Analysis, and Data Mining, Image Processing, Soft Computing, and Machine Learning. He has published several book chapters and papers in national and international journals and conference proceedings. 

Valentina E. Balas is currently an Associate Professor at the Department of Automatics and Applied Software, “Aurel Vlaicu” University of Arad (Romania). She holds a Ph.D. in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara (Romania). The author of more than 160 research papers in peer-reviewed journals and international conference proceedings, her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling, and Simulation. She is the Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms (IJAIP), serves on the Editorial Boards of several national and international journals, and is an evaluator expert for national and international projects. 

Akash Kumar Bhoi completed his B.Tech. (Biomedical Engineering) at the Trident Academy of Technology (TAT), Bhubaneswar, India, and his M.Tech. (Biomedical Instrumentation) at Karunya University, Coimbatore, India, in 2009 and 2011, respectively. In addition to pursuing his Ph.D. (in Biomedical Signal Processing) at Sikkim Manipal University, Sikkim, India, he is currently serving as an Assistant Professor at the Department of Electrical and Electronics Engineering (EEE) and as a Faculty Associate in the R&D Section of Sikkim Manipal Institute of Technology (SMIT), Sikkim Manipal University. He has published several book chapters and papers in national and international journals and conference proceedings. 

Gyoo-Soo Chae completed his B.Sc. (Electronics) and M.Sc. (Electrical Engineering) at Kyungpook National University, South Korea. He subsequently completed his Ph.D. at Virginia Polytechnic Institute and State University, VA, USA. Currently, he is a Professor at Baekseok University, South Korea. His research interests are in the areas of Microwave Theory, Antenna Design, and Measurement. He has filed nine patents with the Korean Patent Office, and has published numerous papers in international journals and conference proceedings.