Data Engineering and Intelligent Computing

Name: Data Engineering and Intelligent Computing | Proceedings of IC3T 2016
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Proceedings of IC3T 2016

Suresh Chandra Satapathy Vikrant Bhateja K. Srujan Raju B. Janakiramaiah(Editor)

Springer (Publisher)

Published on 31. May 2017

XXII, 669 pages

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Dr. Suresh Chandra Satapathy is currently working as a Professor and Head of the Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences (ANITS), Andhra Pradesh, India. He received his PhD in Computer Science and Engineering from Jawaharlal Nehru Technological University (JNTU), Hyderabad and his Master's degree in Computer Science and Engineering from the National Institute of Technology (NIT), Rourkela, Odisha. He has more than 27 years of teaching and research experience. His research interests include 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 from Springer AISC and LNCS in the past. In addition to serving on the editorial board of several international journals, he is a senior member of the IEEE and a Life Member of the Computer Society ofIndia, where he is the National Chairman of Division-V (Education and Research).

Dr. K. Srujan Raju is a Professor and Head of the Department of Computer Science and Engineering (CSE), CMR Technical Campus. Professor Srujan earned his PhD in the field of Network Security and his current research interests include computer networks, information security, data mining, image processing, intrusion detection and cognitive radio networks. He has published several papers in referred international conferences and peer-reviewed journals. He was also on the editorial board of CSI 2014 Springer AISC series 337 and 338 volumes. In addition, he served as a reviewer for many indexed journals. Professor Raju has been honored with the Significant Contributor and Active Member Awards by the Computer Society of India (CSI) and is currently the Hon. Secretary of the CSI's Hyderabad Chapter.

Prof. Vikrant Bhateja is an Associate Professor at the Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow and also the Head of Academics & Quality Control at the same college. His research interests include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition, neural networks, soft computing and bio-inspired computing techniques. He has more than 90 quality publications in various international journals and conference proceedings to his credit. Prof. Vikrant has been on TPC and chaired various sessions from the above domain in international conferences of IEEE and Springer. He has been the Track Chair and served on the core-technical/editorial teams for numerous international conferences: FICTA 2014, CSI 2014 and INDIA 2015 under the Springer-ASIC Series and INDIACom-2015, ICACCI-2015 under the IEEE. He is an associate editor for the International Journal of Convergence Computing (IJConvC) and also serves on the editorial board of the International Journal of Image Mining (IJIM) under Inderscience Publishers. At present, he is the guest editor for two special issues of the International Journal of Rough Sets and Data Analysis (IJRSDA) and the International Journal of System Dynamics Applications (IJSDA) under IGI Global publications.

Dr. Bonam Janakiramaiah is currently working as a Professor in the Department of Computer Science and Engineering, Devineni Venkata Ramana & Dr. Hima Sekhar MIC College of Technology (DVR & Dr. HS MIC College of Technology), Kanchikacherla, Vijayawada, Andhra Pradesh, India. He received his PhD in Computer Science and Engineering from the Jawaharlal Nehru Technological University (JNTU), Hyderabad and Master's degree in Computer Science and Engineering from the Jawaharlal Nehru Technological University, (JNTU), Kakinada. He has more than 15 years of teaching experience. His research interests include data mining, machine learning, studies and their applicationsto engineering. He has more than 25 publications to his credit in various reputed international journals and conference proceedings. He is a Life Member of the Computer society of India.

Content

Intro
Preface
Organising Committee
Patrons
Organising Committee
Local Organizing Committee
Contents
About the Editors
1 Analysis of Genetic Algorithm for Effective Power Delivery and with Best Upsurge
Abstract
1 Introduction
2 Literature Survey
3 Various Methodologies and Flow of Execution of Proposed Algorithm
3.1 Algorithm Proposed for
3.2 The First Group of Algorithms
4 Experimental Analysis
5 Future Scope
6 Conclusion
References
2 Edge Detection of Degraded Stone Inscription Kannada Characters Using Fuzzy Logic Algorithm
Abstract
1 Introduction
2 Related Works
3 Algorithm
4 Methodology and Implementation
4.1 Image Conversion
4.2 Mean Shift Filtering
4.3 Convert Image to Double-Precision Data
4.4 Calculate Image Gradient
4.5 Define Fuzzy Inference System (FIS)
4.5.1 Specify FIS Rules
4.5.2 Evaluate FIS
4.6 Advance Recognition Algorithm (ARA)
5 Results and Discussion
6 Results Validation
7 Conclusion
References
3 Design of Alpha/Numeric Microstrip Patch Antenna for Wi-Fi Applications
Abstract
1 Introduction
2 Antenna Design
3 Alphabet Antenna Design
4 Numeric Antenna Design
5 Conclusion
References
4 Performance Evaluation of Leaf Disease Measure
Abstract
1 Introduction
2 Modeling
3 Preprocessing
3.1 LBP Definition
4 Edge Detection Techniques
5 Segmentation Using Morphological Operations
6 Implementation
7 Conclusion
References
5 Ear Recognition Using Self-adaptive Wavelet with Neural Network Classifier
Abstract
1 Introduction
2 Previous Work
2.1 Methods for Ear Detection
2.2 Methods for Ear Recognition
3 Proposed Methodology
3.1 Training
3.2 Pre-processing
3.3 Ring-Projection
3.4 Information Normalization
3.5 Wavelet Design
3.6 Decomposition
3.7 Features Extraction
3.8 Classification
4 Results
4.1 Results of Ring Projection Technique
4.2 Adaptive Wavelet
4.3 Feature Extraction
4.4 Neural Network Classification
4.5 PNN Classifier
4.6 Comparison with ED Classifier
5 Conclusion
References
6 An Efficient Algorithm for Mining Sequential Patterns
Abstract
1 Introduction
2 Problem Statement
3 Related Work
4 Mining Spatio-Temporal Sequential Patterns
4.1 Overview of Voronoi Diagram
4.2 Space-Time
4.3 Construction of Sequential Graph with Grid-Based Approach
4.4 Mining Sequential Patterns
5 Conclusion and Future Work
References
Comparison of SVM Kernel Effect on Online Handwriting Recognition: A Case Study with Kannada Script
1 Introduction
1.1 Kannada Language
2 Literature Review
3 Methodologies
3.1 Data Acquisition Phase
3.2 Training Phase
3.3 Testing Phase
3.4 Implementation
3.5 Result Analysis
4 Conclusions
References
8 Feature Extraction of Cervical Pap Smear Images Using Fuzzy Edge Detection Method
Abstract
1 Introduction
2 Review of Literature
3 Proposed Methodology
4 Experimental Analysis
5 Conclusions and Future Directions
References
9 Minimizing Frequent Itemsets Using Hybrid ABCBAT Algorithm
Abstract
1 Introduction
2 Apriori Algorithm
3 Artificial Bee Colony (ABC) Algorithm
4 BAT Algorithm
5 Proposed Hybrid ABCBAT
6 Proposed Methodology
7 Experimental Results
8 Conclusion
References
10 Hybrid Models for Offline Handwritten Character Recognition System Without Using any Prior Database Images
Abstract
1 Introduction
2 Previous Work
3 Challenges
4 Methodology
5 Classification
6 Experiments and Analysis
7 Results
8 Conclusion
References
11 A Novel Cluster Algorithms of Analysis and Predict for Brain Derived Neurotrophic Factor (BDNF) Using Diabetes Patients
Abstract
1 Introduction
1.1 Problem Definition
2 Dataset Detailed Description
3 Proposed Measure
3.1 Decentralization
3.2 Clustering Analysis
3.3 Eigen Vectors and Eigen Values
4 Decentralization Possess of Clustering Algorithm
5 Case Studies of T2DM of BDNF
6 Experimental Results
7 Conclusions and Future Work
References
12 Image Frame Mining Using Indexing Technique
Abstract
1 Introduction
1.1 Problems in the Existing System
1.2 Advantage of Proposed System
2 Literature Survey
3 Experimental Setup
3.1 Video Frame Progression
3.2 Train the Input Image
3.2.1 Comparison of Picture Element Values of Frames
3.2.2 The Process Explained as Training of Key Frames as
3.3 Image Mining
3.4 Video Indexing
3.4.1 Suede Code for Comparing Frames
4 Advantage and Disadvantage of Video Indexing
5 Experimental Outcomes
6 Conclusion and Future Enhancement
References
13 A Novel Adaptive Threshold and ISNT Rule Based Automatic Glaucoma Detection from Color Fundus Images
Abstract
1 Introduction
2 Related Work
3 Proposed Methodology
4 Dataset for Glaucoma Evaluation
5 Performance Analysis
6 Experimental Results
7 Conclusion
Acknowledgements
References
14 Comparison of Classification Techniques for Feature Oriented Sentiment Analysis of Product Review Data
Abstract
1 Introduction
2 Related Work
3 System Design
3.1 Data Set
3.2 Data Preprocessing
3.3 Opinion Word Extraction
3.4 Labeling of Opinion Word
3.5 Polarity Determination Using Classification Algorithms
4 Experimental Results
4.1 Steps Used in Experimentation
5 Conclusion and Future Work
References
15 Review of Texture Descriptors for Texture Classification
Abstract
1 Introduction
1.1 General Framework of Texture Classification
2 Significance of Texture Descriptors
2.1 Review of Texture Descriptors
3 Discussion
4 Conclusion
References
16 Improvisation in HEVC Performance by Weighted Entropy Encoding Technique
Abstract
1 Introduction
2 Proposed Work
2.1 Encoding Technique
3 Weighted Entropy Encoding
4 Results and Discussion
5 Conclusion
References
17 Improvement in PMEPR Reduction for OFDM Radar Signal Using PTS Algorithm
Abstract
1 Introduction
2 Multifrequency Complementary Phase Coded Signals
2.1 Polyphase Codes
3 PMEPR Reduction Techniques
3.1 Introduction and Classification
3.2 Clipping Technique for Reduction of PMEPR
3.3 Partial Transmit Sequence (PTS) Algorithm for Reduction of PMEPR
4 Results and Discussion
4.1 MCPC Based on Zadoff-Chu Sequence
4.2 Results Based on Clipping Technique
4.3 Results Based on Partial Transmit Sequence (PTS) Algorithm
5 Conclusion
References
18 Design and Implementation of High Speed VLSI Architecture of Online Clustering Algorithm for Image Analysis
Abstract
1 Introduction
2 On-Line Clustering Algorithm
3 Proposed Hardware Architecture
3.1 Temporary Register and Centroid Memory
3.2 Square Distance Calculator (SDC) and Summation Block
3.3 Minimum Block and Nearest Centroid Calculator
3.4 Divider Block
3.5 Moving Average Block
4 The Experimental Results
5 Conclusion
Acknowledgements
References
19 Entity Level Contextual Sentiment Detection of Topic Sensitive Influential Twitterers Using SentiCircles
Abstract
1 Introduction
2 Proposed Work
2.1 Data Set Acquisition
2.2 Topic Modelling
2.3 Identification of Influential Twitterers
2.4 Sentiment Detection
3 Results and Discussions
3.1 Topic Distribution
3.2 Influential Twitterer
3.3 Sentiment Detection
4 Conclusions and Future Work
References
20 Prediction of Human Ethnicity from Facial Images Using Neural Networks
Abstract
1 Introduction
2 Literature Review
3 Proposed Model
3.1 Experiment 1 (Artificial Neural Network)
3.1.1 Geometric Feature Calculation
3.1.2 Extraction of Skin Color
3.1.3 Normalized Forehead Area Calculation
3.1.4 Training, Validation and Testing of Dataset
3.2 Experiment 2 (Convolutional Neural Network)
4 Results
4.1 Result of Experiment 1 (ANN)
4.2 Result of Experiment 2 (CNN)
5 Conclusion
References
21 Glyph Segmentation for Offline Handwritten Telugu Characters
Abstract
1 Introduction
2 Pre-processing Steps
3 Proposed Method
3.1 Unconnected Small Glyphs Identification
3.2 Segmentation Point Identification
3.3 Glyph Segmentation
4 Experiments Results
5 Conclusion
References
22 A Roadmap for Agility Estimation and Method Selection for Secure Agile Development Using AHP and ANN
Abstract
1 Introduction
1.1 Agile Development Methods
1.2 Security in Agile Development
2 Proposed Roadmap
2.1 Selection Procedure to Choose Agile or Plan Driven Approach
2.2 Selection of Most Appropriate Agile Development Method
2.3 Integration of Security Activities for Selected Agile Development Method
3 Conclusion
References
23 Hadoop Framework for Entity Recognition Within High Velocity Streams Using Deep Learning
Abstract
1 Introduction
2 Literature Survey
3 Proposed System
4 Conclusion and Future Work
References
24 A Novel Random Forest Approach Using Specific Under Sampling Strategy
Abstract
1 Introduction
2 Class Imbalance Learning Approaches
3 Framework of Under Sampled Radom Forest
4 Methodology and Datasets
5 Experimental Results
6 Conclusion
References
25 Improved Whale Optimization Algorithm Case Study: Clinical Data of Anaemic Pregnant Woman
Abstract
1 Introduction
2 Standard WOA
3 Proposed Algorithm
3.1 Fast Convergence ? Factor
3.2 Algorithm of Improved WOA
4 Experimental Results
4.1 Discussion of the Results
5 Conclusion and Future Scope
Acknowledgements
References
26 A Novel Edge Detection Algorithm for Fast and Efficient Image Segmentation
Abstract
1 Introduction
1.1 Literature Review
1.2 Image Segmentation
2 Proposed Algorithm
3 Experimental Setup and Results
4 Performance Criteria of Edge Detection
5 Conclusion
Acknowledgements
References
27 Real Time Audio Steganographic Countermeasure
Abstract
1 Introduction
2 Related Work
3 Procedure and Implementation
3.1 Methodology
3.2 Tools Implemented
4 Evaluation and Results
5 Conclusion
References
28 A Hybrid Method for Extraction of Events from Natural Language Text
Abstract
1 Introduction
2 Hybrid Model for Event Extraction
3 Experimental Results
4 Conclusion, Future Work
References
29 A Proposal on Application of Nature Inspired Optimization Techniques on Hyper Spectral Images
Abstract
1 Introduction
2 Optimization Techniques
2.1 Particle Swarm Optimization
2.2 Darwinian Particle Swarm Optimization (DPSO)
2.3 Harmony Search Optimization
3 Proposed Model
3.1 MFA Optimization
3.2 Kapur's Thresholding
3.3 Performance Measures
4 Conclusions and Future Scope
Acknowledgements
References
30 Dual Notched Band Compact UWB Band Pass Filter Using Resonator Loaded SIR for Wireless Applications
Abstract
1 Introduction
2 Design of Proposed Filter
3 Results and Discussions
4 Conclusions
References
Frequent SubGraph Mining Algorithms: Framework, Classification, Analysis, Comparisons
1 Introduction
2 Background
3 Basic Framework for All Algorithms
3.1 Candidate Generation
3.2 Search Order
3.3 Discovery Order
3.4 Duplicate Elimination
3.5 Support Calculation
4 Classification of Algorithms
4.1 In-memory Versus Parallel Storage
4.2 Single Large Graph Versus Set of Graphs
4.3 Algorithms Using MapReduce
5 Algorithms
5.1 Apriori Based Graph Mining (AGM Algorithm)
5.2 Frequent SubGraph Mining (FSG Algorithm)
5.3 Substructure Discovery Using Examples (SUBDUE Algorithm)
5.4 GSpan: Graph-Based SUbstructure Pattern Mining (gSpan Algorithm)
5.5 CloseGraph Algorithm
5.6 Graph/Sequence/Tree ExtractiON (GASTON)
5.7 Cost Analysis
6 Results
7 Conclusion
References
32 Facial Expression Classification Using Machine Learning Approach: A Review
Abstract
1 Introduction
2 Bayesian Network (BN)
3 Hidden Markov Model (HMM)
4 Support Vector Machine (SVM)
5 Recent Techniques: A Review
5.1 Facial Expression Recognition Using Deep Belief Network
6 Conclusions
References
33 Heuristic Approach for Nonlinear n × n (3 = n = 7) Substitution-Boxes
Abstract
1 Introduction
2 Related Concepts
2.1 Linear Cryptanalysis
2.2 Chaotic Skew Tent Map
3 Proposed Approach
4 Results and Analysis
4.1 Nonlinearity of Balanced Boolean Functions
5 Conclusion
References
34 Bi-Temporal Versioning of Schema in Temporal Data Warehouses
Abstract
1 Introduction
2 Bi-Temporal Versioning of Schema
2.1 Symbols Used
3 Proposed Structural Modification Functions
3.1 Meta-Schema Structure
4 Conclusion
References
35 An Improved Mammogram Classification Approach Using Back Propagation Neural Network
Abstract
1 Introduction
2 Proposed CAD Methodology for Mammogram Classification
2.1 Pre-processing Using Non-linear Enhancement
2.2 Features Extraction and Classification
3 Results and Discussions
4 Conclusion
References
36 Performance Comparison of Pattern Search, Simulated Annealing, Genetic Algorithm and Jaya Algorithm
Abstract
1 Introduction
2 Algorithms Selected: PS, SA, GA and Jaya Algorithm
3 The Standard Benchmark Function Used
4 Computational Experiment, Analysis and Observations
5 Conclusions
References
37 Maven Video Repository: A Visually Classified and Tagged Video Repository
Abstract
1 Introduction
2 Contemporary Works
2.1 Key Frame Detection
2.2 Face Recognition in Videos (FRiV)
2.3 Video Annotation
3 Existing Systems
4 Implemented System
4.1 Implementation of System
5 Maven Video Repository Application
5.1 Upload Video
5.2 Video Processing
5.3 Video Search
5.4 Search Result
6 Conclusion
6.1 Advantages
6.2 Limitations
7 Future Scope
References
38 A Comprehensive Comparison of Ant Colony and Hybrid Particle Swarm Optimization Algorithms Through Test Case Selection
Abstract
1 Introduction
2 Problem Definition
2.1 Regression Testing
2.2 Regression Test Case Selection
2.2.1 Fault Coverage
2.2.2 Execution Time
3 Ant Colony Optimization for Optimizing Test Suites
4 Hybrid Particle Swarm Optimization for Test Case Selection
5 Experimental Design and Results
6 Discussion on Results
7 Conclusion and Future Scope
References
39 Parameter Estimation of Software Reliability Model Using Firefly Optimization
Abstract
1 Introduction
2 Software Reliability Model and Parameter Estimation Techniques
2.1 Goel and Okumoto Model
2.2 Vtub-Shaped Fault-Detection Rate Model [14]
2.3 Parameter Estimation Techniques
3 Parameter Estimation Using Firefly Optimization
4 Experimental Design and Result Discussions
5 Conclusions and Future Scope
References
40 Prediction of Crime Trends Using Mk-MC Technique
Abstract
1 Introduction
2 Literature Review
3 Design and Process
4 Pre-processing Phase
5 Clustering Phase (k-means Clustering)
6 Modified Clustering Phase (Modified k-means Clustering)
7 Experimental Results
8 Conclusion and Future Work
References
41 A Novel Map-Reduce Based Augmented Clustering Algorithm for Big Text Datasets
Abstract
1 Introduction
2 Back Ground and Literature Review
3 Problem Statement and Proposed Solution
3.1 Map-Reduce Framework
3.2 Text Preprocessing
3.3 Proposed Methodology
3.4 Case Study: Clustering the Sample Text Documents Using Proposed Algorithm
3.4.1 Input Text Files
3.4.2 Calculate Minimum Count
3.4.3 Generate Item Sets
3.4.4 Calculate Similarity as Per Item Set and Construct Document Matrix as Per Item Set Occurrence
3.4.5 Calculate Document Occurrence
3.4.6 Select Pivot Points Randomly and Perform Clustering as Per Pivot
4 Experiments and Results Analysis
4.1 Evaluation for Computing Frequent Item Sets
4.2 Comparison of Proposed Algorithm with Stop Words Removal and Without Stop Words Removal
5 Conclusion
Acknowledgements
References
42 Scrutiny of Data Sets Through Procedural Algorithms for Categorization
Abstract
1 Introduction
1.1 Role of Principal Component Analysis (PCA)
1.2 Role of Partial Least Squares Regression (PLS) [8]
2 Database Used for Evaluation [14]
2.1 Decisive Factors
3 Results
4 Conclusion
References
43 Effective Security in Social Data Security in OSNs
Abstract
1 Introduction
2 Background Work
3 Proposed Approach
4 Genetic Programming Approach
5 Experimental Evaluation
6 Conclusions
References
44 Analysis of Different Pattern Evaluation Procedures for Big Data Visualization in Data Analysis
Abstract
1 Introduction
2 Related Work
3 Data-Meadow: Analysis of Multi-variant Data
4 Visualization of Uncertainty Weather Model
5 Density Parallel Co-ordinate Model for Data Visualization
6 Conclusion
References
45 Analysis of Visual Cryptographic Techniques in Secret Image Data Sharing
Abstract
1 Introduction
2 Related Work
3 Visual Cryptography with Security
4 Secret Image Sharing Based Visual Cryptography
5 Features Based Secret Sharing Schema
6 RDH Based Visual Cryptography
7 Conclusion
References
46 Wavelet Based Saliency Detection for Stereoscopic Images Aided by Disparity Information
Abstract
1 Introduction
2 Disparity Extraction
2.1 Processing Disparity Utilizing Advanced Stereo Pictures
2.2 Calculation
3 The Proposed Saliency Detection Model
3.1 Wavelet Analysis
3.2 Overview of the Proposed Model
3.3 Feature Map Generation
4 Experimental Results
5 Conclusion
References
47 Dynamic Load Balancing Environment in Cloud Computing Based on VM Ware Off-Loading
Abstract
1 Introduction
2 Cloud Resource Provisioning Framework
3 Skewness for Dynamic Resources in Cloud
4 Experimental Results
5 Conclusion
References
48 Dynamic Secure Deduplication in Cloud Using Genetic Programming
Abstract
1 Introduction
2 Hybrid Framework to Deduplication
3 Deduplication Using GP
4 System Implementation
5 Experimental Evaluation
6 Conclusion
References
49 Synthesis of Sector Beams from Array Antennas Using Real Coded Genetic Algorithm
Abstract
1 Introduction
2 Formulation
2.1 Linear Array
2.2 Fitness Function
3 Configuring RCGA for Linear Arrays
4 Results and Discussions
5 Conclusion
References
50 Performance Analysis of Encrypted Data Files by Improved RC4 (IRC4) and Original RC4
Abstract
1 Introduction
2 Motivation
3 Improved RC4 (IRC4)
4 NIST Statistical Test Suite
5 Results and Discussions
6 Conclusions
References
51 A Novel Context and Load-Aware Family Genetic Algorithm Based Task Scheduling in Cloud Computing
Abstract
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Categorization
3.2 Scheduling and Load Balancing
4 Mathematical Model
5 Pseudo-Code
6 Simulation and Results
7 Conclusion
References
52 Indian Stock Market Analysis Using CHAID Regression Tree
Abstract
1 Introduction
2 Theoretical Background
3 Methodology
3.1 Step 1-Dataset of Stock Market
3.2 Step 2-Pre-processing of Data
3.3 Step 3-Import Data into Watson Analytics Tool
3.4 Step 4-Prediction and Exploration
3.5 Step 5-: Result Analysis
4 Experimental Setup
5 Analysis
5.1 Case Study 1: Lok Sabha Elections Versus Indian Stock Market
5.2 Case Study 2: Indian Union Budget Versus Indian Stock Market
5.3 Case Study 3: Indian Monsoon Versus Indian Stock Market
5.4 Case Study 4: Domestic Riots Versus Indian Stock Market
5.5 Case Study 5: Global Factors Versus Indian Stock Market
6 Prediction
7 Conclusion
References
53 A Novel Approach to Improve the Performance of Divisive Clustering-BST
Abstract
1 Introduction
2 Clustering Algorithms
3 Agglomerative Versus Divclues-T
3.1 Agglomerative Methods
3.1.1 Computational Complexity (SLINK)
3.2 Divclues-T
3.2.1 Divclues-T Algorithm
3.2.2 Computation Complexity for Search
4 Experimental Evaluation
5 Conclusion
References
54 Prediction and Analysis of Pollution Levels in Delhi Using Multilayer Perceptron
Abstract
1 Introduction
2 Literature Review
2.1 Related Work
3 Design of Experiment
3.1 Dataset
3.2 Prediction Models
3.3 Tools Used
4 Analysis of Data and Correlation
5 Results
5.1 Prediction
6 Conclusion
References
55 An Architectural View Towards Autonomic Cloud Computing
Abstract
1 Introduction
2 Related Work
3 Algorithm
4 Proposed Work
4.1 Conditions for Migration
4.2 Layered Architecture
5 Implementation and Simulation
6 Conclusion
References
56 Implementation and Analysis of TL-SMD Cryptographic Hash Algorithm
Abstract
1 Introduction
2 Basic Properties of TL-SMD
3 Architecture of TL-SMD
3.1 Layer One Architecture
3.2 Layer Two Architecture
4 Comparison of TL-SMD with Others
5 Analysis of TL-SMD
6 Conclusion and Future Scope
References
57 Contrast Enhancement of an Image by DWT-SVD and DCT-SVD
Abstract
1 Introduction
1.1 Contrast Enhancement
1.2 Discrete Wavelet Transform
1.3 Singular Value Decomposition
1.4 Discrete Cosine Transform
2 Proposed Contrast Enhancement Scheme
3 Experimental Results
4 Conclusion
References
58 A Fuzzy Logic Based Approach for Data Classification
Abstract
1 Introduction
2 Related Work
3 Proposed Algorithm
3.1 Detailed Algorithm
4 Experiments Conducted and Results Obtained
4.1 Dataset
4.2 Weka Tool
4.3 Results Obtained
5 Comparison of Proposed Algorithm with Other Classification Algorithms
6 Conclusion and Future Directions
References
59 Facebook Like: Past, Present and Future
Abstract
1 Introduction
2 Yesterday of Like
3 The Counterpart of Like: Dislike
4 Today of Like
5 Tomorrow of Like
6 Privacy of Like
7 Conclusion
References
Criminal Policing Using Rossmo's Equation by Applying Local Crime Sentiment
1 Introduction
2 Proposed Methodology
2.1 Probability Calculation
2.2 Sentiment Approach
2.3 Assumptions
2.4 Existing Research
3 Experimental Result
3.1 Gurgaon Proclaimed Offender Case Study
4 Conclusion
References
61 Moving Object Tracking and Detection Based on Kalman Filter and Saliency Mapping
Abstract
1 Introduction
2 Proposed Work
3 Experimental Results
4 Conclusion
References
XUBA: An Authenticated Encryption Scheme
1 Introduction
1.1 Related Works
2 Design
2.1 Key-IV Loading
2.2 Initialization Phase
2.3 Keystream Generation Phase
2.4 Tag Computation
3 Security Analysis
3.1 Differential Attack
3.2 Algebraic Attack
3.3 Time-Memory-Data Trade-off Attack
3.4 Forgery Attack on MAC
3.5 Guessing of MAC
3.6 SAC Test
3.7 Collision Test
4 Conclusion
References
63 Secure Speech Enhancement Using LPC Based FEM in Wiener Filter
Abstract
1 Introduction
2 Proposed Work
3 Speech Enhancement Experiment and Result
4 Conclusion
References
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Data Engineering and Intelligent Computing

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