Advanced Computing and Communication Technologies

Part I: Advanced Computing.- Chapter 1: Authentication based on Nonlinear Dynamics.- Chapter 2: Gathering in the Discrete Domain :  State-of-the-Art.- Chapter 3: Modified SA Algorithm for Bi-objective Robust Stochastic Cellular Facility  Layout in Cellular Manufacturing Systems.- Chapter 4: Fuzzy time series forecasting method using probabilistic fuzzy sets.- Chapter 5: Ohmic-viscous dissipation and heat generation/absorption effects on MHD nanofluid flow over a stretching cylinder with suction/injection.- Chapter 6: Interlocking nodes for structural analysis in social networking.- Chapter 7: A novel construction method of intuitionistic fuzzy set from fuzzy set and its application in multi-criteria decision making problem.- Chapter 8: Design of an Audio Repository for  Blind and Visually Impaired : A Case Study.- Chapter 9: A Futuristic Deep Learning Framework approach for Land Use Land Cover Classification using Remote Sensing Imagery.- Chapter 10: Prediction Model for Crowdfunding Projects.- Chapter 11: An Enhanced Approach for Detecting Helmet on Motorcyclists using Image Processing and Machine Learning Techniques.- Chapter 12: Affinity Aware Synchronization in Work Stealing Run-Times for NUMA Multi-Core Processors.- Chapter 13:  Backpropagation Neural Network vs Logistic Regression in Heart Disease Classification.- Part II: Communication Technologies.- Chapter 14: Wormhole Attack in Wireless Sensor Networks: A Critical Review.- Chapter 15: A General Framework for Spectrum Assignment in Cognitive Radio Networks.- Chapter 16: Novel Schemes for Energy Efficient IoT.- Chapter 17: Minimizing the total range with two power levels in  Wireless Sensor Networks.- Part III: Electronics, Antenna Design.- Chapter 18: Comparative Study of Rectangular and E-Shaped  Microstrip Patch Antenna Array for X- Band  Applications.-

Jyotsna Kumar Mandal is former Dean of the Faculty of Engineering, Technology and Management, and a senior professor at the Department of Computer Science and Engineering, University of Kalyani, India. He obtained his Ph.D. (Engineering) from Jadavpur University, India. He has co-authored six books: Algorithmic Design of Compression Schemes and Correction Techniques-A Practical Approach; Symmetric Encryption-Algorithm, Analysis and Applications: Low Cost-based Security; Steganographic Techniques and Application in Document Authentication-An Algorithmic Approach; Optimization-based Filtering of Random Valued Impulses-An Algorithmic Approach; Artificial Neural Network Guided Secured Communication Techniques: A Practical Approach and Handbook of Research on Natural Computing for Optimization Problems (2 Volumes). He has authored more than 350 papers on a wide range of topics in international journals and proceedings. His areas of research include coding theory, dataand network security, remote sensing and geographic-information-system (GIS)-based applications, data compression, error correction, visual cryptography and steganography, and distributed and shared memory parallel programming. He is a fellow of the Institution of Electronics and Telecommunication Engineers, and a member of the IEEE, ACM, CRSI and the Computer Society of India.

Dhananjay Bhattacharyya, Head of the Computer Sciences (CS) Division, Saha Institute of Nuclear Physics, Calcutta, India, obtained his Ph.D. from the Indian Institute of Science, Bangalore and a postdoctoral fellowship from National Institutes of Health, Bethesda, Maryland, USA. Dr. Bhattacharyya's research interest is in understanding the structure-function relationship of biological macromolecules, particularly nucleic acids. In order to understand different structural features of nucleic acids, the CS Division at the Saha Institute of Nuclear Physics has developed a number of software