Note: Intro -- Organization -- Chief Patrons -- Patrons -- Organizing Chairs -- Publicity Chairs -- Advisory Committee -- Technical Program Committee -- Preface -- About This Book -- Contents -- About the Editors -- Classification of Dry/Wet Snow Using Sentinel-2 High Spatial Resolution Optical Data -- 1 Introduction -- 2 Data Used and Study Area -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Potential of Robust Face Recognition from Real-Time CCTV Video Stream for Biometric Attendance Using Convolutional Neural Network -- 1 Introduction -- 2 Literature Survey -- 3 Contributions -- 4 Proposed System -- 5 Algorithm -- 6 Results -- 7 Conclusion -- References -- ATM Theft Investigation Using Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Data Processing and Data Set -- 5 Results and Analysis -- 6 Conclusion and Future Work -- References -- Classification and Prediction of Rice Crop Diseases Using CNN and PNN -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Algorithms -- 5 Result and Discussion -- 6 Conclusion -- References -- SAGRU: A Stacked Autoencoder-Based Gated Recurrent Unit Approach to Intrusion Detection -- 1 Introduction -- 2 Related Works -- 3 Proposed SAGRU Approach -- 3.1 Stacked Autoencoder Feature Extraction (SAFE) -- 3.2 Gated Recurrent Unit Learning (GRUL) -- 3.3 SAGRU-Based Intrusion Detection -- 4 Performance Analysis -- 5 Conclusion -- References -- Comparison of KNN and SVM Algorithms to Detect Clinical Mastitis in Cows Using Internet of Animal Health Things -- 1 Introduction -- 2 Literature Study -- 3 Methodology -- 4 A Sack for Data Acquisition and Testing -- 5 Result -- 6 Conclusion -- References -- Two-Way Face Scrutinizing System for Elimination of Proxy Attendances Using Deep Learning -- 1 Introduction -- 1.1 Comparison with Previous Works. , 2 Methodology -- 2.1 Encoding Faces Present in an Image -- 2.2 Face Recognition -- 3 Algorithm for Eliminating Proxies -- 4 Blynk -- 5 Validation -- 6 Conclusion -- References -- Ontology-Driven Sentiment Analysis in Indian Healthcare Sector -- 1 Introduction -- 2 Literature Overview -- 3 Ayushman Bharat Yojana (PM Jan Arogya Yojana) -- 3.1 Key Benefits of the Scheme -- 3.2 Beneficiaries of the Scheme -- 3.3 Impact of the Scheme on the Beneficiaries -- 4 An Overview of the Ontology -- 4.1 Tools and Resources Used -- 4.2 Ontology: An Overview -- 5 Proposed Work -- 5.1 Data Acquisition -- 5.2 Data Cleaning and Preprocessing -- 5.3 Extracting Features -- 5.4 Training the Model -- 6 Observations and Results -- 7 Conclusion -- 8 Future Work -- References -- Segmentation of Nuclei in Microscopy Images Across Varied Experimental Systems -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Dataset Used -- 3.2 Data Augmentation Used -- 3.3 Model Architecture -- 3.4 Loss Function Used -- 3.5 Evaluation Metric Used -- 4 Experiments and Results -- 5 Conclusion -- References -- Transitional and Parallel Approach of PSO and SGO for Solving Optimization Problems -- 1 Introduction -- 1.1 Traditional Optimization Tools -- 1.2 Non-traditional Optimization Tools -- 2 Preliminaries -- 2.1 Function Optimization -- 2.2 Benchmark Functions -- 2.3 Evolutionary Technique -- 3 Proposed Approach: Hybridization PSO with SGO -- 4 Simulation Results and Discussion -- 5 Conclusion -- References -- Remote Sensing-Based Crop Identification Using Deep Learning -- 1 Introduction -- 2 Literature Study -- 3 Methodology -- 3.1 Overview of Proposed Method -- 3.2 Convolution -- 3.3 Max pooling -- 3.4 Dense Node -- 3.5 Softmax -- 4 Results and Discussion -- 5 Conclusion -- References. , Three-Level Hierarchical Classification Scheme: Its Application to Fractal Image Compression Technique -- 1 Introduction -- 2 Basic FIC Technique -- 3 Proposed Three-Level Hierarchical Classification (3-LHC) Scheme -- 3.1 Elementary Analysis -- 3.2 Proposed Modification -- 4 Results and Analysis -- 5 Conclusion -- References -- Prediction of POS Tagging for Unknown Words for Specific Hindi and Marathi Language -- 1 Introduction -- 1.1 POS Tagging -- 1.2 Limitations of Current POS Tagging System -- 2 Related Work -- 3 Contributions -- 4 Proposed Methodology -- 4.1 Hidden Markov Model -- 4.2 Viterbi Algorithm -- 4.3 Naïve Bayes Algorithm -- 5 Result and Analysis -- 6 Conclusion -- 7 Future Work -- References -- Modified Multi-cohort Intelligence Algorithm with Panoptic Learning for Unconstrained Problems -- 1 Introduction and Literature Review -- 2 Methodology -- 3 Results and Discussion -- 4 Conclusion -- References -- Sentiment Analysis on Movie Review Using Deep Learning RNN Method -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 4 Implementation Tools -- 5 Performance Analysis -- 6 Conclusions and Future Work -- References -- Super Sort Algorithm Using MPI and CUDA -- 1 Introduction -- 2 Sorting Algorithm -- 3 Result -- 4 Conclusion and Future Work -- References -- Significance of Network Properties of Function Words in Author Attribution -- 1 Introduction -- 2 Author Identification Problem -- 3 Related Works -- 4 Complex Network Approach to Author Identification Problem -- 4.1 Methodology -- 5 Results and Discussions -- 6 Conclusion -- References -- Performance Analysis of Periodic Defected Ground Structure for CPW-Fed Microstrip Antenna -- 1 Introduction -- 2 Design of CPW-Fed Microstrip Antenna -- 3 Circular-Shaped PDGS Structure -- 4 Fabrication and Validation of Antenna -- 5 Conclusion -- References. , Energy Aware Task Consolidation in Fog Computing Environment -- 1 Introduction -- 2 Related Works -- 3 Fog Computing Architecture -- 4 Proposed Energy-Saving Task Consolidation Algorithm -- 5 Simulation Results -- 6 Conclusion -- References -- Modelling CPU Execution Time of AES Encryption Algorithm as Employed Over a Mobile Environment -- 1 Introduction -- 2 Related Literature -- 3 Description of Our Model -- 3.1 Scheme 1 -- 3.2 Scheme 2 -- 4 Experimental Analysis of Data -- 4.1 Scheme 1 -- 4.2 Scheme 2 -- 5 Comparison of Models -- 5.1 Scheme 1 -- 5.2 Scheme 2 -- 5.3 Comparison Between Scheme 1 and Scheme 2 -- 6 Conclusions -- References -- Gradient-Based Feature Extraction for Early Termination and Fast Intra Prediction Mode Decision in HEVC -- 1 Introduction -- 2 Proposed Algorithm -- 3 Experimental Results -- 4 Conclusion -- References -- A Variance Model for Risk Assessment During Software Maintenance -- 1 Introduction -- 2 Risks in Software Development and Maintenance -- 3 Factors in Software Risk Assessment During Maintenance -- 3.1 Testing-Related Risk Factors -- 4 Variance Model for Software Risk Assessment -- 5 Discussion of the Variance Model -- 5.1 Development of a Risk Measurement Toolkit -- 5.2 Maturing of the Risk Model: An Aquatic Profile for Risk Maturity Management (APRMM) -- 6 Conclusions -- References -- Cyber Attack Detection Framework for Cloud Computing -- 1 Introduction -- 2 Cloud Security Attacks -- 3 Proposed Framework -- 3.1 Data Capturing -- 3.2 Filtering and Feature Extraction -- 3.3 Intrusion Detection Model Design -- 3.4 Knowledge Extraction Block -- 4 Performance Evaluation of Proposed Framework -- 4.1 Result Analysis -- 5 Conclusion -- References -- Benchmarking Semantic, Centroid, and Graph-Based Approaches for Multi-document Summarization -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology. , 3.1 Sort by Importance Score Algorithm -- 3.2 K-Means Clustering -- 3.3 Gaussian Mixture Method -- 3.4 Graph-Based Approach -- 4 Experimental Results and Analysis -- 5 Conclusion and Future Work -- References -- Water Availability Prediction in Chennai City Using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Support Vector Regression -- 4 Experimental Results and Analysis -- 4.1 Analysis of Water Levels of Reservoirs -- 4.2 Analysis of Rainfall Levels of Reservoir Regions -- 4.3 Analysis of Chennai Population -- 4.4 Prediction of Water Availability per Person -- 5 Conclusion and Future Work -- References -- Field Extraction and Logo Recognition on Indian Bank Cheques Using Convolution Neural Networks -- 1 Introduction -- 2 Background -- 2.1 Object Detection -- 3 Proposed Methodology -- 3.1 Preprocessing -- 3.2 Localization -- 3.3 Bank Name and Logo Recognition -- 3.4 Experimental Setting -- 4 Dataset Description -- 4.1 Evaluation Metrics -- 5 Results and Discussions -- 6 Conclusions -- References -- A Genetic Algorithm Based Medical Image Watermarking for Improving Robustness and Fidelity in Wavelet Domain -- 1 Introduction -- 2 Related Work -- 3 Proposed Scheme -- 3.1 Proposed Multiple Watermarks Embedding in Wavelet Domain -- 3.2 Proposed Chromosome-Based Encoding for Finding Optimal Embedding Location -- 3.3 Chromosome Selection -- 3.4 Crossover and Mutation -- 4 Watermark Extraction and Genetic Algorithm Process -- 5 Experimental Results and Discussions -- 6 Conclusion -- References -- Developing Dialog Manager in Chatbots via Hybrid Deep Learning Architectures -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Data Preparation -- 3.2 Word2Vec Embedding + 1DCNN + LSTM (W1CNNL) -- 3.3 Word2Vec + CNN Embedding + LSTM (WCNNL). , 3.4 Word2Vec + BiLSTM with Attention Embedding + LSTM (WBWAL).

Note: Intro -- Organizing Committee -- Preface -- Contents -- About the Editors -- 1 Comparison of Different Image Segmentation Techniques on MRI Image -- 1.1 Introduction -- 1.2 Methodology -- 1.2.1 Preprocessing -- 1.2.2 Segmentation Techniques -- 1.3 Results and Discussion -- 1.4 Conclusion -- References -- 2 PSO-ANN-Based Computer-Aided Diagnosis and Classification of Diabetes -- 2.1 Introduction -- 2.1.1 Literature Survey -- 2.2 Feature Selection Approaches -- 2.3 Particle Swarm Optimization (PSO) -- 2.4 Proposed Feature Selection Algorithm -- 2.5 Experimental Results -- 2.6 Conclusion -- References -- 3 Round Robin Scheduling Based on Remaining Time and Median (RRRT& -- M) for Cloud Computing -- 3.1 Introduction -- 3.2 Related Works -- 3.3 Scheduling Algorithms -- 3.4 Experimental Setup and Result Discussions -- 3.4.1 Experimental Setup -- 3.4.2 Performance Metrics -- 3.4.3 Result Discussions -- 3.5 Summary -- References -- 4 Business-Driven Blockchain-Mempool Model for Cooperative Optimization in Smart Grids -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Virtual Power Plant Dispatch Schedules -- 4.3.1 Cost Function Based Optimization -- 4.4 Blockchain -- 4.4.1 Consensus -- 4.5 Consensus and Cooperative Scheduling -- 4.6 Mempool Model -- 4.7 Evaluation and Future Work -- 4.8 Conclusion -- References -- 5 Research of Institutional Technology Diffusion Rules Based on Patent Citation Network-A Case Study of AI Field -- 5.1 Introduction -- 5.2 Data and Method -- 5.3 Results and Discussion -- 5.3.1 Comparative Analysis of Technical Force -- 5.3.2 Technology Diffusion Network and Visualization -- 5.3.3 Measurement of Technology Diffusion Capacity -- 5.4 Conclusion and Limitation -- References -- 6 Impact on the Information Security Management Due to the Use of Social Networks in a Public Organization in Ecuador -- 6.1 Introduction. , 6.2 Materials and Methods -- 6.2.1 Materials -- 6.2.2 Methods -- 6.3 Results -- 6.4 Discussion -- 6.5 Future Work and Conclusion -- References -- 7 Appropriate Security Protocols to Mitigate the Risks in Electronic Money Management -- 7.1 Introduction -- 7.2 Materials and Methods -- 7.2.1 Materials -- 7.2.2 Methods -- 7.3 Results -- 7.4 Discussion -- 7.5 Future Works and Conclusion -- 7.5.1 Future Works -- 7.5.2 Conclusions -- References -- 8 Acceptance and Readiness of Thai Farmers Toward Digital Technology -- 8.1 Introduction -- 8.2 Research Model -- 8.3 Method -- 8.3.1 Questionnaire Instrument -- 8.3.2 Data Analysis -- 8.4 Results -- 8.5 Conclusion -- References -- 9 Neural Network Classifier for Diagnosis of Diabetic Retinopathy -- 9.1 Introduction -- 9.2 Classification -- 9.3 Conclusion -- References -- 10 Comparative Analysis of Data Mining Classification Techniques for Prediction of Heart Disease Using the Weka and SPSS Modeler Tools -- 10.1 Introduction -- 10.2 Literature Review -- 10.2.1 Data Mining Classification Techniques -- 10.3 Experimental Analysis -- 10.3.1 Dataset -- 10.3.2 Result Analysis -- References -- 11 An Automated Framework to Uncover Malicious Traffic for University Campus Network -- 11.1 Introduction -- 11.2 Study Goals -- 11.3 Methodology -- 11.4 Experimental Setup -- 11.5 Observations and Analysis of Framework in Campus Network on Real-Time Basis -- 11.5.1 Dashboard Visualization for Analysis -- 11.6 Conclusion -- 11.7 Future Scope -- References -- 12 Comparative Analysis of K-Means Algorithm and Particle Swarm Optimization for Search Result Clustering -- 12.1 Introduction -- 12.2 Related Work -- 12.3 Experimental Result and Analysis -- 12.3.1 Dataset Details -- 12.3.2 Preprocessing -- 12.3.3 Performance Evaluation -- 12.4 Conclusion -- References. , 13 Design and Implementation of Rule-Based Hindi Stemmer for Hindi Information Retrieval -- 13.1 Introduction -- 13.2 Stemming Approaches -- 13.2.1 Affix Removal Approach -- 13.2.2 N-Gram -- 13.2.3 Suffix Stripping Approach -- 13.2.4 Suffix Substitution Approach -- 13.2.5 Brute-Force Approach -- 13.2.6 Hybrid Approach -- 13.3 Related Work -- 13.4 Proposed Methodology and Implementation -- 13.5 Analysis and Conclusion -- References -- 14 Research on the Development Trend of Ship Integrated Power System Based on Patent Analysis -- 14.1 Introduction -- 14.2 Data and Methods -- 14.3 Results and Discussion -- 14.3.1 Life Cycle Analysis of Patent Technology Development of Foreign Ship Integrated Power System -- 14.3.2 Analysis of Patent Technology Research and Development Direction of Foreign Ship Integrated Power System -- 14.4 Summary -- References -- 15 Detection of Data Anomalies in Fog Computing Architectures -- 15.1 Introduction -- 15.2 Fog Architecture Overview -- 15.3 Anomaly Detection -- 15.3.1 Anomalies -- 15.3.2 Preliminaries for Detection Algorithm -- 15.3.3 Detection Procedure -- 15.4 Computation Algorithm -- 15.5 Related Work -- 15.6 Conclusion -- References -- 16 Cloud Data for Marketing in Tourism Sector -- 16.1 Introduction -- 16.2 Consumer Behavioral Study for the Tourism Industry -- 16.3 Sources of Data -- 16.3.1 Methods of Sourcing Data from Internet -- 16.4 Model for Marketing Data Capture -- 16.4.1 Prediction Theories -- 16.4.2 Marketing -- 16.5 Results -- 16.6 Conclusion -- References -- 17 Road Travel Time Prediction Method Based on Random Forest Model -- 17.1 Introduction -- 17.2 The Principle of Random Forest Algorithm -- 17.3 The Principle of DBSCAN -- 17.4 The Prediction Model of RF-DBSCAN -- 17.4.1 Data Sources -- 17.4.2 Feature Selection -- 17.4.3 The Principle of RF-DBSCAN -- 17.4.4 Comparison of Experiment Results. , 17.5 Conclusions -- References -- 18 Video Synchronization and Alignment Using Motion Detection and Contour Filtering -- 18.1 Introduction -- 18.1.1 Overview -- 18.1.2 Problem Statement -- 18.1.3 Objectives -- 18.1.4 Existing System -- 18.1.5 Proposed System -- 18.2 Literature Survey -- 18.3 System Design -- 18.4 Dataflow of Video Change Detection -- 18.5 Class Diagrams -- 18.6 Experimental Results -- 18.7 Conclusion -- References -- 19 Mutichain Enabled EHR Management System and Predictive Analytics -- 19.1 Introduction -- 19.2 Related Work -- 19.2.1 Verifying the Authenticity of Returned Drugs by Tracking Supply of Authorized Drugs in Supply Chain -- 19.2.2 Transparency and Traceability of Consent in Clinical Trials -- 19.2.3 Incentivized Access to Medical Data -- 19.3 Problem Setting -- 19.4 Proposed Architecture -- 19.4.1 Multichain -- 19.4.2 Off-Chain Storage -- 19.4.3 Hashing -- 19.4.4 Data Analysis -- 19.4.5 Machine Learning -- 19.4.6 Workflow -- 19.5 Conclusion -- References -- 20 Quick Insight of Research Literature Using Topic Modeling -- 20.1 Introduction -- 20.2 Literature Survey -- 20.3 Methodology -- 20.3.1 Preprocessing-Natural Language Processing -- 20.3.2 Topic Modeling -- 20.3.3 Latent Dirichlet Allocation -- 20.4 System Development -- 20.5 Experimental Results -- 20.6 Conclusion -- References -- 21 Secure Cloud-Based E-Healthcare System Using Ciphertext-Policy Identity-Based Encryption (CP-IBE) -- 21.1 Introduction -- 21.1.1 An Overview -- 21.2 Related Work -- 21.3 Proposed Methodology -- 21.3.1 Developing an Efficient Data Storage Scheme -- 21.3.2 Developing a Ciphertext Database Scheme -- 21.4 Conclusion -- References -- 22 Security Vulnerabilities of OpenStack Cloud and Security Assessment Using Different Software Tools -- 22.1 Introduction -- 22.2 Software Architecture -- 22.2.1 Components of OpenStack. , 22.2.2 OpenStack Usage in Cloud Platform -- 22.3 Vulnerabilities in OpenStack -- 22.3.1 Known Vulnerabilities in OpenStack -- 22.3.2 Assessment for Security -- 22.3.3 Network Vulnerability Scanners -- 22.4 Conclusion -- References -- 23 Smart Physical Intruder Detection System for Highly Sensitive Area -- 23.1 Introduction -- 23.2 Literature Survey -- 23.3 Proposed Methodology -- 23.3.1 Working of PIR Motion Sensor -- 23.3.2 Face Recognition Using Viola-Jones Algorithm and KNN Algorithm -- 23.4 Conclusion and Future Scope -- References -- 24 Two-level Classification of Radar Targets Using Machine Learning -- 24.1 Introduction -- 24.2 Phased Array Radar -- 24.3 Design of Multilevel Classifier -- 24.3.1 Signal Level Classification: Level ``0'' -- 24.3.2 Classification Level 1 Using Raw Detection -- 24.3.3 Level 2 Classifier Using Track Data -- 24.4 Fusion of Information with Signal Level Classifier -- 24.5 Simulation and Results -- 24.5.1 Results for Level 1 Classification -- 24.5.2 Classification Level 2 Using Radar Track and Signal Data -- 24.6 Conclusion -- References -- 25 A Cognitive Semantic-Based Approach for Human Event Detection in Videos -- 25.1 Introduction -- 25.2 Methodology -- 25.2.1 Frame Generation -- 25.2.2 Fuzzy C-Mean Clustering (FCM) -- 25.2.3 Feature Extraction -- 25.2.4 CNN Classifier -- 25.3 Test Results and Discussions -- 25.4 Conclusions -- References -- 26 Analysis of Adequate Bandwidths to Guarantee an Electoral Process in Ecuador -- 26.1 Introduction -- 26.2 Materials and Methods -- 26.2.1 Materials -- 26.2.2 Methods -- 26.3 Results -- 26.4 Discussion -- 26.5 Work Futures and Conclusions -- References -- 27 Load and Renewable Energy Forecasting for System Modelling, an Effort in Reducing Renewable Energy Curtailment -- 27.1 Introduction -- 27.2 Literature Review -- 27.3 Proposed Work. , 27.3.1 Neural Network-Based Load Forecasting.

Note: Intro -- Conference Organization Committees -- Chief Patrons -- Patrons -- Honorary Chairs -- General Chair -- Publication Chair -- Organizing Chairs -- Technical Program Chair -- Organizing Secretaries -- Program Secretaries -- Advisory Committee -- Technical Program Committee -- Preface -- About This Book -- Contents -- About the Editors -- Task Scheduling in Heterogeneous Cloud Environment-A Survey -- 1 Introduction -- 2 Classification of Task Scheduling -- 3 Scheduling Model in the Cloud Datacenters -- 4 Existing Task Scheduling Algorithms -- 4.1 Heuristic Task Scheduling -- 5 Scheduling Parameters -- 6 Comparison of Existing Scheduling Algorithm -- 7 Conclusion -- References -- Improving the Efficiency of Ensemble Classifier Adaptive Random Forest with Meta Level Learning for Real-Time Data Streams -- 1 Introduction -- 2 Problem Statements -- 3 Related Works -- 4 The Proposed Modified Adaptive Random Forest Algorithm -- 5 Experimental Settings -- 6 Results and Conclusion -- References -- Plain Text Encryption Using Sudoku Cipher -- 1 Introduction -- 2 Techniques for Solving Sudoku Puzzle -- 3 Proposed Algorithm for Plaintext Encryption Using Sudoku Puzzle -- 4 Experimental Results -- 4.1 Computational Complexity of the Proposed Algorithm -- 5 Conclusion -- References -- Performance Comparison Between Different Dispersion Compensation Methods in an Optical Link -- 1 Introduction -- 2 Dispersion Compensating Fiber (DCF) and Polarization Controller (PC) -- 3 Simulation Setup -- 4 Results and Discussions -- 5 Conclusions -- References -- First Steps in the Automatic Classification of Legal Sentences -- 1 Introduction -- 2 State of the Art -- 3 Methodology -- 4 Experimentation -- 5 Conclusions -- References -- The Dissociation Between Polarity and Emotional Tone as an Early Indicator of Cognitive Impairment: Second Round -- 1 Introduction. , 2 Methodology -- 3 Experimentation -- 4 Conclusions and Future Work -- References -- Congestion Control in Optical Burst Switching Networks Using Differential Evolution Optimization -- 1 Introduction -- 2 Related Works -- 3 System Methodology -- 4 Experimental Results -- 5 Conclusion -- References -- Locality Parameters for Privacy Preserving Protocol and Detection of Malicious Third-Party Auditors in Cloud Computing -- 1 Introduction -- 2 Related Works -- 3 Proposed Algorithm -- 4 Results and Discussions -- 5 Conclusion -- References -- Analysis of NaCl Electrolyte Based SOI-ISFET pH Sensor -- 1 Introduction -- 2 ISFET Overview -- 2.1 ISFET Geometry -- 2.2 ISFET Parameters -- 2.3 ISFET Operating Principle -- 3 ISFET DC and AC Equations -- 4 Results and Discussion -- 5 Conclusion -- References -- Quantitative Modeling and Simulation for Stator Inter-turn Fault Detection in Industrial Machine -- 1 Introduction -- 2 Methodology -- 2.1 Experimental Setup -- 2.2 Feature Extraction -- 2.3 Feature Selection -- 2.4 Fault Classification -- 3 Modeling and Simulation -- 3.1 Mathematical Modeling of Induction Machine -- 3.2 Simulation Results -- 4 Validation -- 5 Conclusion -- 6 Future Scope -- References -- CMOS-Based XOR Gate Design for Full Swing Output Voltage and Minimum Power Delay Product (PDP) -- 1 Introduction -- 1.1 Review of XOR/XNOR Gate -- 2 Proposed XOR/XNOR Circuits -- 3 Power-Delay Product (PDP) Optimization -- 4 Simulation and Performance Analysis of XOR Circuit -- 5 Conclusion -- References -- Potential Threat Detection from Industrial Accident Reports Using Text Mining -- 1 Introduction -- 2 Overview of Methodology -- 2.1 Data Preprocessing -- 2.2 Text Mining -- 3 Case Study -- 3.1 Dataset -- 3.2 Sample Output -- 3.3 Performance Measures -- 3.4 Results and Discussions -- 4 Conclusion -- References. , Bagging for Improving Accuracy of Diabetes Classification -- 1 Introduction -- 2 Literature Survey -- 3 Mathematical Model of the Bagged Prediction Method -- 4 Algorithm to Train a Bagged Logistic Regression for Improving Predictions -- 5 Results -- 5.1 Receiver Operating Characteristics (ROC) -- 5.2 Comparison -- 6 Conclusions -- References -- Two-Way Handshake User Authentication Scheme for e-Banking System -- 1 Introduction -- 2 Previous Study -- 3 Proposed System -- 4 Results and Conclusion -- References -- Periocular Biometrics for Non-ideal Images Using Deep Convolutional Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experiments and Results -- 5 Discussion -- 5.1 Comparison with Already Existing Work in Literature -- 6 Conclusion and Future Work -- 7 Future Work -- References -- An Elliptic Curve Cryptography-Based Multi-Server Authentication Scheme Using Cancelable Biometrics -- 1 Introduction -- 2 Proposed Scheme -- 2.1 Server Registration Phase -- 2.2 User Registration Phase -- 2.3 Login Phase -- 2.4 Mutual Authentication and Key Exchange Phase -- 2.5 Password and Biometric Change Phase -- 2.6 Smart Card Revocation Phase -- 3 Security Analysis -- 3.1 Formal Security Analysis -- 3.2 Informal Security Analysis -- 3.3 Performance Analysis -- 4 Conclusion -- References -- Dynamic TDMA Scheduling for Topology Controlled Clustering in Wireless Sensor Networks -- 1 Introduction -- 2 TL-LEACH: A Hierarchical Routing Protocol -- 3 Proposed Solution -- 4 Algorithm -- 5 Simulation and Result Analysis -- 6 Conclusion and Future Scope -- References -- Deep Learning-Based Music Chord Family Identification -- 1 Introduction -- 2 Dataset -- 3 Proposed Method -- 3.1 Preprocessing -- 4 Feature Extraction -- 4.1 Deep Learning-Based Classification -- 5 Result and Analysis -- 6 Conclusion -- References. , A Multilevel CNN Architecture for Character Recognition from Palm Leaf Images -- 1 Introduction -- 2 Related Work -- 3 Multilevel CNN Architecture -- 3.1 Image Pyramid Layer -- 3.2 CNN Layers -- 3.3 Concatenation Layer -- 3.4 Fully Connected Layers -- 4 Experimental Analysis -- 5 Conclusion -- References -- Novel Multimodel Approach for Marathi Speech Emotion Detection -- 1 Introduction -- 2 Database Creation -- 3 Formulating Problem Statement: Block Diagram of SER -- 4 Proposed Work--Preprocessing -- 5 Proposed Work--Feature Extraction -- 6 Proposed Work--Artificial Neural Network (ANN) -- 7 Results -- 8 Conclusion -- References -- Assessment of Autistic Disorder Using Machine Learning Approach -- 1 Introduction -- 2 Literature Survey -- 3 Data Collection and Description -- 3.1 WEKA -- 4 Methodology -- 5 Result and Discussions -- 6 Conclusion -- References -- Use of Data Mining Techniques for Data Balancing and Fraud Detection in Automobile Insurance Claims -- 1 Introduction -- 2 Related Work -- 3 Background Study -- 3.1 Fuzzy C-Means Clustering (FCM) -- 3.2 Box and Whisker Plot -- 3.3 Synthetic Minority Oversampling (SMOTE) -- 3.4 Majority Voting -- 4 Proposed Approach -- 5 Results and Discussions -- 5.1 Explanation and Preprocessing of Insurance Fraud Dataset -- 5.2 Performance Analysis -- 6 Conclusions -- References -- Application of Generalized Possibilistic Fuzzy C-Means Clustering for User Profiling in Mobile Networks -- 1 Introduction -- 2 Related Work -- 3 Background Study -- 4 Proposed Approach -- 5 Experimental Results and Discussions -- 5.1 Cluster Validation -- 5.2 Cluster Analysis -- 6 Conclusions -- References -- A Method to Detect Blink from the EEG Signal -- 1 Introduction -- 2 Data Acquisition -- 2.1 Process of EEG Data Acquisition -- 2.2 EOG Data Acquisition -- 3 Blink Detection -- 4 Results -- 5 Applications -- 6 Conclusions. , References -- Power-Efficient Reversible Logic Design of S-Box for N-Bit AES -- 1 Introduction -- 1.1 Reversible Logic -- 2 S-Box Design Methodology -- 2.1 Multiplicative Inverse -- 2.2 Isomorphic Mapping and Inverse Isomorphic Mapping -- 2.3 Arithmetic Operations in Composite Field -- 2.4 Multiplication with Constant λ -- 2.5 Multiplication in GF(24) -- 2.6 Multiplication in GF(22) -- 2.7 Multiplication with Constant φ -- 2.8 Multiplicative Inversion in GF(24) -- 2.9 Affine Transformation and Its Inverse -- 3 Testing Environment -- 4 Conclusion -- References -- Salient Edge(s) and Region(s) Extraction for RGB-D Image -- 1 Introduction -- 2 Proposed System -- 2.1 Salient Edge Extraction from Depth Map -- 2.2 Colour Saliency Map Extraction from the RGB Image -- 2.3 Fusion of Salient Edge and Colour Saliency Map Resume -- 3 Experimental Results and Analysis -- 3.1 Evaluation Metrics -- 4 Conclusion -- References -- Web Text Categorization: A LSTM-RNN Approach -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Dataset -- 3.2 Preprocessing -- 3.3 Feature -- 3.4 Deep Learning-Based Classification -- 4 Results and Discussion -- 4.1 Comparison with Existing Methods -- 5 Conclusion -- References -- Closed-Set Device-Independent Speaker Identification Using CNN -- 1 Introduction -- 2 Audio Preprocessing -- 2.1 Preemphasis -- 2.2 Silence Frame Removal -- 2.3 Log-Spectrogram -- 3 CNN Architecture -- 4 Experiment, Results, and Discussion -- 4.1 Data Preparation -- 4.2 CNN Model Training -- 4.3 Identification Using CNN -- 4.4 Performance Measure -- 4.5 Results -- 5 Conclusion -- References -- A Novel and Efficient Spatiotemporal Oxygen Production Estimation Based on Land Vegetation Using PNN and Convolutional Autoencoder -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Forest Cover Detection and Forest Change. , 3.2 Dimensionality Reduction.

Note: Intro -- Contents -- 1: Historical and Clinical Perspectives on Chromosomal Translocations -- 1.1 Introduction and Background -- 1.2 Early Observations of Translocations -- 1.3 Clinical Relevance of Translocations -- 1.3.1 Balanced Translocation Carriers Have Higher Risks of Infertility, Miscarriage, and Unbalanced Progeny -- 1.3.2 Some Somatic Translocations Initiate Transformation of Cancer Cells -- 1.3.3 Balanced Reciprocal Translocations Are Etiologic for Many Clinical Phenotypes -- 1.3.4 Resolution of Translocation Breakpoints by Sequencing Provides New Information -- 1.3.5 Mapping the Regulatory Genome with Translocations -- 1.4 Summary -- References -- 2: Induction of Chromosomal Translocations with CRISPR-Cas9 and Other Nucleases: Understanding the Repair Mechanisms That Give Rise to Translocations -- 2.1 Introduction -- 2.2 Multiple DSB Repair Pathways: Repairing a Dangerous Lesion -- 2.3 Elucidation of Translocation Mechanisms in Mouse Cells Using a Rare-Cutting Endonuclease -- 2.4 When ZFNs Then TALENs Arrived on the Scene: Tailored Nucleases for Tailored Translocations -- 2.5 The CRISPR-Cas9 Revolution: When Easy Is Made Easier -- 2.6 Isolating Translocation Clones -- 2.7 Modeling Oncogenesis Using Programmable Nucleases: First Steps Towards Full Transformation In Vivo -- 2.8 Elucidation of Translocation Mechanisms in Human Cells Using Programmable Nucleases -- 2.9 How Model Systems Recapitulate Patient Breakpoints -- References -- 3: Dynamics of Double-Strand Breaks: Implications for the Formation of Chromosome Translocations -- 3.1 Introduction -- 3.2 Chromatin Motion -- 3.3 Double-Strand Break Dynamics: Lessons from Yeast and Mammalian Cells -- 3.4 The Role of Cytoskeletal Components in Motion of Intact Chromosome Loci and DSBs: Random or Directed Motion?. , 3.5 Partner Search, Clustering and Synapsis of DSBs in the Nucleus -- 3.6 Dynamics of DSBs and Translocation Formation -- 3.7 Conclusions -- References -- 4: The CRISPR/Cas9 System as a Tool to Engineer Chromosomal Translocation In Vivo -- 4.1 Introduction of CRISPR/Cas9 System -- 4.2 Applications of Nucleases to Engineer Chromosomal Rearrangements -- 4.3 Model Genomic Rearrangements Engineered with the CRISPR/Cas9 System In Vitro -- 4.3.1 Chromosomal Translocations -- 4.3.2 Genomic Deletions and Insertions -- 4.3.3 Genomic Inversions -- 4.4 Model Chromosomal Rearrangements Engineered by the CRISPR/Cas9 System In Vivo -- 4.4.1 Mouse Models of Cancer and Genetic Diseases -- 4.4.2 Mouse Models by Embryonic Stem (ES) Cells Engineering -- 4.5 Conclusions -- References -- 5: Generation of Genomic Alteration from Cytidine Deamination -- 5.1 AID/APOBEC Deaminase Family -- 5.1.1 RNA or DNA Deamination Model -- 5.1.2 Cytidine Deaminase Domain and Structure -- 5.1.3 DNA Sequence Motif Preference and Deamination Signature -- 5.2 Programmed DNA Lesion in Immunity -- 5.2.1 Secondary Immune Cell Receptor Diversification Initiated by AID -- 5.2.2 Innate Anti-viral Activity of APOBEC3s -- 5.3 Collateral Effects of Cytidine Deamination -- 5.3.1 Discovery of AID-dependent Translocations and Mutations -- 5.3.2 Systematic Identification of AID Off-targets -- 5.3.3 Pervasive APOBEC3 Signature in Cancer Genomes -- 5.4 Multilayer Regulation of AID Deamination -- 5.4.1 Regulation of AID Expression -- 5.4.2 Intracellular Localization of AID Protein -- 5.4.3 Post-translation Modification of AID Protein -- 5.4.4 Specific Genomic Targeting of AID -- 5.4.5 AID Cofactors and Activity Regulation -- 5.5 Future -- References -- 6: The Role for the DSB Response Pathway in Regulating Chromosome Translocations. , 6.1 The DNA Damage Response (DDR) at Sites of Double-­Strand Breaks (DSBs) -- 6.1.1 Overview: ATM Orchestrates the DDR in Mammalian Cells -- 6.1.2 General Mechanisms of Translocation Suppression by the DDR -- 6.2 Mammalian Genetic Models to Study Roles for the DDR in Translocation Suppression -- 6.2.1 Genetically Engineered Mouse Models (GEMM) of DDR Deficiency -- 6.2.2 Human Genetic Syndromes of DDR Deficiency: Ataxia-Telangiectasia -- 6.3 The DDR Suppresses Chromosomal Translocations During V(D)J Recombination -- 6.3.1 Mechanisms of V(D)J Recombination -- 6.3.2 RAG-Dependent Breaks and Translocations in DDR-­Deficient Mice -- 6.3.3 RAG-Dependent Break and Translocations in Ataxia-­Telangiectasia Patients -- 6.4 The DDR Suppresses Chromosomal Translocations During Class Switch Recombination -- 6.4.1 Mechanisms of Class Switch Recombination -- 6.4.2 AID-Dependent Breaks and Translocations in DDR-­Deficient Mice -- 6.4.3 AID-Dependent Breaks and Translocations in A-T Patients -- References -- 7: Telomeres and Chromosomal Translocations -- 7.1 Introduction -- 7.2 DNA Damage -- 7.3 DNA Repair -- 7.3.1 DNA Repair Involving Only a Single Strand -- 7.3.2 DNA Double-Strand Break Repair -- 7.3.2.1 C-NHEJ -- 7.3.2.2 A-NHEJ -- 7.3.2.3 HDR -- 7.4 Translocations -- 7.4.1 DSBs and Translocations -- 7.4.1.1 Of Men, Mice and Translocations -- 7.4.1.2 Spatial Karma and Translocations -- 7.4.1.3 Selection, Not the Translocation, Drives Cancer -- 7.4.2 Considerations for When One DSB is a Telomeric End -- 7.4.2.1 Telomeres Stabilize the Genome -- 7.4.2.2 Translocations Involving Telomeres are Mechanistically Distinct -- 7.4.2.3 Translocations Involving Human Telomeres can be Mediated by LIGIII or LIGIV -- 7.4.2.4 Translocations Involving Human Telomeres can be Mediated by LIGI -- 7.5 Summary and Future Considerations -- References. , 8: 3D Genome Organization Influences the Chromosome Translocation Pattern -- 8.1 Introduction -- 8.2 The Impact of Spatial Proximity on Partner Selection in DNA Break Repair -- 8.2.1 Evidence from Imaging Methods -- 8.2.2 Implications of DNA DSB Movement -- 8.3 Conceptual Contributions from Chromosome Conformation Capture -- 8.3.1 Characterizing Pre-existing 3D Genome Structure Before Translocations to Link Translocation Frequency to 3D Structure -- 8.3.2 3C-Based Methods for Agnostic Translocation Identification -- 8.3.3 Interpreting the Biological/Medical Impact of Translocations -- 8.4 Importance of Heterogeneity in Interpreting the Influence of 3D Genome Organization -- 8.5 Widespread DSBs Exacerbate 3D Genome Proximity Effects on Translocations: Implications for Radiation-­Induced Translocations -- 8.6 3D Genome Contributions to DSB Incidence and Control of DNA Repair -- 8.7 Key Persistent Questions -- 8.7.1 How Can We Reconcile 3D DSB Movement with 3D Genome Stability and Influence on Translocations? -- 8.7.2 How Much Do DSBs and Translocations Affect Existing 3D Genome Structure? -- 8.7.3 Do Pre-cancerous 3D Genome Organization Changes Affect Which Translocations Occur and Thus Affect Cancer Phenotype or Outcome? -- 8.8 Conclusion -- References -- 9: The Role of Chromosome Deletions in Human Cancers -- 9.1 Introduction -- 9.2 Chromosome Deletions Are Frequent in Human Cancers and Associated with Poor Prognosis -- 9.2.1 The Boveri's Hypothesis on the Origin of Cancer -- 9.2.2 Chromosome Deletions Are a Hallmark of Human Cancers -- 9.2.3 Chromosome Deletions Are Associated with Poor Prognosis in Some Cancers -- 9.3 Identifying Tumor Suppressors in Chromosome Deletions -- 9.3.1 Knudson Theory -- 9.3.2 Haploinsufficient Tumor Suppressors -- 9.4 The Role of Chromosome Deletions as a Whole in Carcinogenesis. , 9.4.1 Modeling Chromosome Deletions with Genetic Engineered Mouse Models -- 9.4.2 Modeling Chromosome Deletions in Human Cell Models -- 9.4.3 The Collaborative Effect of Multiple Tumor Suppressors in Chromosome Deletions -- 9.5 Perspective -- References -- 10: Processing-Challenges Generated by Clusters of DNA Double-Strand Breaks Underpin Increased Effectiveness of High-LET Radiation and Chromothripsis -- 10.1 Introduction -- 10.2 Forms of DSBs and DSB Clusters -- 10.3 Physiological Processes That Require the Generation of DSB Clusters -- 10.4 DSB Cluster Formation and Carcinogenesis: The Phenomenon of Chromothripsis -- 10.5 DSB Processing Pathways -- 10.6 DSB Repair Pathway Choice in Cells Exposed to High LET IR -- 10.7 A Model of Defined DSB-­Clusters at Fixed Genomic Locations -- 10.8 Summary and Conclusions -- References.

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