The book covers a variety of topics which include data mining and data warehousing, high performance computing, parallel and distributed computing, computational intelligence, soft computing, big data, cloud computing, grid computing, cognitive computing, image processing, computer networks, wireless networks, social networks, wireless sensor networks, information and network security, web security, internet of things, bioinformatics and geoinformatics. The book is a collection of best papers submitted in the First International Conference on Computational Intelligence and Informatics (ICCII 2016) held during 28-30 May 2016 at JNTUH CEH, Hyderabad, India. It was hosted by Department of Computer Science and Engineering, JNTUH College of Engineering in association with Division V (Education & Research) CSI, India.
Chapter
1. GUI Based Automated Data Analysis System Using Matlab®.-
Chapter
2. A Survey Study on Singular Value Decomposition and Genetic
Algorithm Based on Digital Watermarking Techniques.
Chapter
3. A Robust
Authenticated Privacy-Preserving Attribute Matchmaking Protocol for Mobile
Social Networks.
Chapter
4. Artificial Neural Networks Model to Improve the
Performance Index of the Coil-disc Assembly in Tube Flow.
Chapter
5.
Handling Wormhole Attacks in WSNs Using Location Based Approach.
Chapter
6.
Video Authentication Using Watermark and Digital Signature A Study.-
Chapter
7. A Comparative Study and Performance Analysis Using IRNSS and
Hybrid Satellites.
Chapter
8. Generalized Approach to Enhance the Shared
Cache Performance in Multicore Platform.
Chapter
9. A Novel Framework for
Road Traffic Data Management for Cloud Based Storage.
Chapter
10. Minimum
Description Length (MDL) Based Graph Analytics.
Chapter
11. Implementation
of Intrusion Detection System Using Artificial Bee Colony with Correlation
Based Feature Selection.
Chapter
12. Virtualization Security Issues and
Mitigations in Cloud Computing.
Chapter
13. Secured Three-tier Architecture
for Wireless Sensor Networks Using Chaotic Neural Network.
Chapter
14. A
Regularized Constrained Least Square De-blurring Method for SPECT Images.-
Chapter
15. Effective Video Data Retrieval Using Image Key Frame Selection.-
Chapter
16. A Review of Joint Channel Assignment and Routing Protocols for
Wireless Mesh Networks.
Chapter
17. Correlated Cluster Based Imputation for
Treatment of Missing Values.
Chapter
18. Application of Pseudo 2-D Hidden
Markov Model for Hand Gesture Recognition.
Chapter
19. Cleaning and
Sentiment Tasks for News Transcript Data.
Chapter
20. Inventory Management
System Using IOT.
Chapter
21. A Personalized Recommender System Using
Conceptual Dynamics.
Chapter
22. Mitigating Replay Attack in Wireless Sensor
Network through Assortment of Packets.
Chapter
23. Progressive Genetic
Evolutions Based Join Cost Optimization (PGE-JCO) for Distributed RDF Chain
Queries.
Chapter
24. Improved Apriori Algorithm Using Power Set on Hadoop.-
Chapter
25. Distributed Cooperative Algorithm to Mitigate Hello Flood Attack
in Cognitive Radio Ad-hoc Networks (CRAHNs).
Chapter
26. Performance
Comparison of Intentional Caching Schemes in Disruption Tolerant Networks
(DTN).
Chapter
27. A Cascaded Method to Reduce the Computational Burden of
Nearest Neighbor Classier.
Chapter
28. An Innovative method to Mitigate DDoS
Attacks for Cloud Environment using Bagging and Stacking.
Chapter
29. A
Novel Method for QoS Based Spectrum Allocation in Cognitive Radio Systems.-
Chapter
30. A Review on fMRI Signal Analysis and Brain Mapping
Methodologies.
Chapter
31. Static Program Behavior Tracing for Program
Similarity Quantification.
Chapter
32. Ontology Based Automatic Annotation:
An Approach for Efficient Retrieval of Semantic Results of Web Documents.-
Chapter
33. An Iterative Hadoop Based Ensemble Data Classification Model on
Distributed Medical Databases.
Chapter
34. A Framework for Secure Mobile
Cloud Computing.
Chapter
35. Intelligent Evaluation of Short Responses for
e-Learning Systems.
Chapter
36. Content Based Video Retrieval Using Dominant
Color and Shape Feature.
Chapter
37. Intelligent SRTF: A New Approach to
Reduce the Number of Context Switches in SRTF.
Chapter
38. Anomaly Detection
Using New Tracing Tricks on Program Executions and Analysis of System Data.-
Chapter
39. Aesthetics of Bharatanatyam Poses Evaluated through Fractal
Analysis.
Chapter
40. Algorithm to Find the Dependent Variable in Large
Virtualized Environment.
Chapter
41. Challenges of Modern Query Processing.-
Chapter
42. IOT-Based Traffic Signal Control Technique for Helping Emergency
Vehicles.
Chapter
43. Wireless Sensor Sequence Data Model for Smart Home and
IoT Data Analytics.
Chapter
44. Automatic Detection of Violent Scenes in
Tollywood Movies A Rough Set Approach.
Chapter
45. Prism Tree Shape
Representation Based Recognition of Offline Tamil Handwritten Characters.-
Chapter
46. The Emergence of Internet Protocol Television as Next Generation
Broadcast Network.
Chapter
47. Cognition-as-a-Service: Arbitrage Opportunity
of Cognition Algorithms in Cloud Computing.
Chapter
48. Directional Area
Based Minutiae Selection and Cryptographic Key Generation Using Biometric
Fingerprint.
Chapter
49. Combined Effect of Soft Computing Methods in
Classification.
Chapter
50. Weighted Co-Clustering Approach for Heart
Disease Analysis.
Chapter
51. Secure User Authentication with Graphical
Passwords and PassText.
Chapter
52. A Novel Hybrid Fuzzy Pattern Classifier
Using Order Weighted Averaging.
Chapter
53. Efficient Query Analysis and
Performance Evaluation of the NoSQL Datastore for BigData.
Chapter
54.
Performance Evaluation of QoS Aware Routing Protocols in Wireless Sensor
Networks.
Chapter
55. Agent Based QoS Routing for Intrusion Detection of
Sinkhole Attack in Clustered Wireless Sensor Networks.
Chapter
56. An
Efficient Probability of Detection Model for Wireless Sensor Networks.-
Chapter
57. Incremental Updating of Mined Association Rules for Reflecting
Record Insertions.
Chapter
58. Pattern Anonymization: Hybridizing Data
Restructure with Feature Set Partitioning for Privacy Preserving in
Supervised Learning.
Chapter
59. Effective Visiting Schedule Generation in a
Tourist Recommender System Using Hadoop.
Chapter
60. A Study and Mapping of
Radiation Levels from Mobile Towers in and Around Bangalore.
Chapter
61. Low
Cost Smart Watering System in Multi Soil and Multi Crop Environment Using GPS
and GPRS.
Chapter
62. An Image Encryption Technique Using Scan Based
Approach and Image as Key.
Chapter
63. IPMOntoShare: Merging of Integrated
Pest Management Ontologies.
Chapter
64. An Approach for Knowledge Based Word
Sense Disambiguation.
Chapter
65. Enhanced Scaffold Design Pattern for
Malleable Multi-Tenant SaaS Application.
Chapter
66. Modeling of Three Phase
Asynchronous Motor Using Vector Control Theory.
Chapter
67. Lecture Notes in
Computer Science: An Unsupervised Classification of Printed and Handwritten
Telugu Words in Pre-printed Documents Using Text Discrimination Coefficient.-
Chapter
68. Neural Nets for Thermodynamic Properties.
Chapter 69.<
Parallelization of Synthetic Aperture Radar (SAR) Image formation Algorithm.
Dr. Suresh Chandra Satapathy is currently working as Professor and Head, Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences (ANITS), Vishakhapatnam, Andhra Pradesh, India. He obtained his PhD in Computer Science Engineering from JNTUH, Hyderabad and Masters degree in Computer Science and Engineering from National Institute of Technology (NIT), Rourkela, Odisha. He has more than 27 years of teaching and research experience. His research interest includes machine learning, data mining, swarm intelligence studies and their applications to engineering. He has more than 98 publications to his credit in various reputed international journals and conference proceedings. He has edited many volumes of Springer AISC and LNCS in past and he is also the editorial board member in reputed international journals. He is a senior member of IEEE and Life Member of Computer Society of India. Currently, he is the National Chairman of Division-V (Education and Research) of Computer Society of India.
Dr. V. Kamakshi Prasad is a Professor and Head of Computer Science and Engineering Department at JNTUH College of Engineering Hyderabad. He completed his PhD in speech recognition from IIT Madras, India. He did his M.Tech. from Andhra University and B.Tech. from K.L. College of Engineering. He has completed over 12 years in JNTU on various positions. He has 21 years of teaching and 11 years of research experience. Dr. Prasad has been teaching subjects like speech processing, pattern recognition, computer networks, digital image processing, artificial neural, artificial intelligence and expert systems, computer graphics, object oriented analysis and design through UML, and soft computing. He has supervised 12 PhD and 2 MS students. His research areas are speech recognition and processing, image processing, neural networks, data mining and ad-hoc networks. He has authored two books published by Lambert AcademicPublishing and over 50 papers in national and international level journals.
Dr. B. Padmaja Rani is a Professor in Computer Science and Engineering Department at JNTUH College of Engineering, Hyderabad. Her interest area is information retrieval embedded systems. She has published more than 25 papers in reputed journals and conferences in the areas of agile modeling, web services and mining, etc. She was the former Head of Department of CSE, JNTUH. She is a professional member of CSI.
Dr. Siba K. Udgata is a Professor of School of Computer and Information Sciences, University of Hyderabad, India. He is presently heading Centre for Modeling, Simulation and Design (CMSD), a high performance computing facility at University of Hyderabad. He has got his Masters followed by PhD in Computer Science (mobile computing and wireless communication). His main research interests are wireless communication, mobile computing, wireless sensor networks and intelligent algorithms. He was a United Nations Fellow and worked in the United Nations University/International Institute for Software Technology (UNU/IIST), Macau as research fellow in the year 2001. Dr. Udgata is working as a principal investigator in many Government of India funded research projects mainly for development of wireless sensor network applications and application of swarm intelligence techniques. He has published extensively in refereed international journals and conferences in India as well as abroad. He was also in the editorial board of many Springer LNCS/LNAI and Springer AISC Proceedings.
Dr. K. Srujan Raju is the Professor and Head, Department of CSE, CMR Technical Campus, Hyderabad, India. Prof. Raju earned his PhD in the field of network security and his current research includes computer networks, information security, data mining, image processing, intrusion detection and cognitive radio networks. He has published several papers in refereed international conferences and peer reviewed journals and also he was in the editorial board of CSI 2014 Springer AISC series; 337 and 338 volumes. In addition to this, he has served as reviewer for many indexed journals. Prof. Raju is also awarded with Significant Contributor, Active Member Awards by Computer Society of India (CSI) and currently he is the Honorary Secretary of CSI Hyderabad Chapter.
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