Advances in Secure Computing, Internet Services, and Applications

• #1. Multi-Granular Computing through Rough Sets
• #2. Pattern Recognition and Robotics
• #3. Privacy Preservation in Information System
• #4. Predictive Analytics and Data Mining: A Framework for Optimizing Decisions with R Tool
• #5. Characterizing Intelligent Intrusion Detection and Prevention Systems Using Data Mining
• #6. The Role of Knowledge Management on Job Satisfaction: A Systematic Framework
• #7. Assessment of Technical Efficiency of Indian B-Schools: A Comparison between the Cross-Sectional and Time-Series Analysis
• #8. Detection of Non-Technical Losses: The Project MIDAS
• #9. Graphical Evaluation and Review Technique (GERT): The Panorama in the Computation and Visualization of Network-Based Project Management
• #10. Heuristic Resource Allocation Algorithms for Dynamic Load Balancing in Heterogeneous Distributed Computing System
• #11. Design Issues of 4G-Network Mobility Management
• #12. Genetic Algorithms: Application to Fault Diagnosis in Distributed Embedded Systems
• #13. Conjugate Gradient Trained Neural Network for Intelligent Sensing of Manhole Gases to Avoid Human Fatality
• #14. Artificial Neural Network Modeling for Electrical Discharge Machining Parameters
• #15. Neural Network Model to Estimate and Predict Cell Mass Concentration in Lipase Fermentation
• #16. Prediction of Structural and Functional Aspects of Protein: In-Silico Approach

B. K. Tripathy a Senior Professor in the School of Computing Sciences and Engineering, VIT University, at Vellore, India. He has published more than 190 technical papers in various international journals, conferences, and book chapters and has guided 14 scholars for their Ph.D degrees in both mathematics and computer science. He is associated with many professional bodies like IEEE, ACEEE, ACM, IRSS, AISTC, ISTP, CSI, AMS, and IMS. He is in the editorial board of several international journals like CTA, ITTA, AMMS, IJCTE, AISS, AIT, and IJPS and is a reviewer of over 40 international journals like Mathematical Reviews, Information Sciences, Analysis of Neural Networks, Journal of Knowledge Engineering, Mathematical Communications, IEEE Transactions on Fuzzy Systems and Journal of Analysis. His research interest includes fuzzy sets and systems, rough sets and knowledge engineering, data clustering, soft computing, granular computing, theory of multisets, list theory, content based learning, remote laboratories and social networks.

D. P. Acharjya received his Ph. D in computer science from Berhampur University, India; M. Tech. degree in computer science from Utkal University, India in 2002; and M. Sc. from NIT, Rourkela, India. He has been awarded with Gold Medal in M. Sc. Currently he is an Associate Professor in the school of computing sciences and engineering, VIT University, Vellore, India. He has authored many national and international journal papers and five books; Fundamental Approach to Discrete Mathematics, Computer Based on Mathematics, Theory of Computation; Rough Set in Knowledge Representation and Granular Computing; Introduction to Information Technology and Computer Programming to his credit. He is associated with many professional bodies CSI, ISTE, IMS, AMTI, ISIAM, OITS, IACSIT, CSTA, IEEE and IAENG. He was founder secretary of OITS Rourkela chapter. His current research interests include rough sets, formal concept analysis, knowledge representation, data mining, granular computing and business intelligence.