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 -- Organization -- Chief Patrons -- Patrons -- Organizing Chairs -- Publicity Chairs -- Advisory Committee -- Technical Program Committee -- Preface -- Contents -- About the Editors -- Faster Result Retrieval from Health Care Product Sales Data Warehouse Using Materialized Queries -- 1 Introduction -- 2 Implementation of MQDB for Bioteknika Healthcare Pvt. Ltd -- 3 Experimental Results -- 4 Conclusion -- References -- Sense Scheduling for Robotics Cognitive Intelligence -- 1 Introduction -- 2 Related Work -- 3 Human Though Process Test -- 4 Proposed System Architecture -- 5 Proposed Methodology -- 6 Result and Discussion -- 7 Conclusion -- 8 Conclusion -- References -- Feature Selection Using Ant Colony Optimization and Weighted Visibility Graph -- 1 Introduction -- 2 Review of Literature -- 3 Proposed Work and Experiment -- 3.1 Feature Extraction -- 3.2 Feature Selection -- 4 Performance Analysis -- 4.1 Precision, Recall, Specificity, and F1-Score -- 4.2 Accuracy -- 4.3 False Positive Rate(FPR) and False Negative Rate(FNR) -- 5 Conclusion -- References -- From Generic to Custom: A Survey on Role of Machine Learning in Pharmacogenomics, Its Applications and Challenges -- 1 Introduction -- 2 Genomics -- 2.1 Understanding the Disease -- 2.2 Challenges -- 2.3 Data Sharing -- 3 Pharmacogenomics -- 4 Machine Learning in Pharmacogenomics -- 4.1 Genome-Wide Association Study (GWAS) -- 4.2 Evolutionary Conservation -- 4.3 Applications of Genomics in Diabetes -- 5 Conclusion -- References -- Personalised Structure Balance Theory-Based Movie Recommendation System -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Pre-processing Module -- 3.2 Product-Based Recommendation Module -- 3.3 User-Based Recommendation Module -- 3.4 Prediction Module -- 4 Results -- 5 Conclusion -- References. , Machine Learning Techniques for the Investigation of Phishing Websites -- 1 Introduction -- 2 Literature Review -- 3 Materials and Method -- 3.1 Dataset -- 3.2 Data Preparation and Preprocessing -- 4 Experimental Results and Discussion -- 5 Conclusion and Future Work -- References -- Feature Extraction and Classification of Gestures from Myo-Electric Data Using a Neural Network Classifier -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Data Acquisition -- 3.2 Data Segmentation -- 3.3 Feature Extraction and Classification -- 4 Discussion and Results -- 5 Conclusion -- References -- Text-Convolutional Neural Networks for Fake News Detection in Tweets -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Data Preprocessing -- 3.2 Embedding Matrix -- 3.3 Classification -- 4 Experiments -- 4.1 Dataset -- 4.2 Feature Extraction -- 5 Results and Discussion -- 6 Conclusion -- References -- Effect of Soil and Climatic Attribute on Greenhouse Gas Emission from Agriculture Sector -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Data Acquisition -- 3.2 Database Creation -- 3.3 Data Preprocessing -- 3.4 Feature Extraction -- 3.5 Analysis of Features -- 3.6 Prediction Model -- 4 Result Analysis -- 4.1 Crop-Wise GHGs Emission -- 4.2 Season-Wise GHGs Emission -- 4.3 Most Influencing Parameter for Prediction of GHGs Emission -- 4.4 Using Deep Learning Approach -- 5 Conclusion -- References -- Optimal Image Feature Ranking and Fusion for Visual Question Answering -- 1 Introduction -- 2 Related Work -- 2.1 Visual Question Answering -- 2.2 Image Feature Extraction -- 3 Ranking and Feature Fusion (RFF) Framework -- 3.1 Overall Architecture -- 3.2 Feature Ranking -- 3.3 Feature Fusion -- 4 Results and Discussions -- 5 Conclusion -- References -- An Investigation on Indoor Navigation Systems -- 1 Introduction. , 2 Path Selection Taxonomy -- 2.1 Uninformed Search Algorithm -- 2.2 Informed Search Algorithm -- 3 Object or Obstacle Detection Taxonomy -- 3.1 CNN Algorithm -- 3.2 RCNN Algorithm -- 3.3 Fast RCNN Algorithm -- 3.4 Faster RCNN Algorithm -- 3.5 YOLO -- 4 Conclusion -- References -- Conceptualization and Design of Remotely-Accessible Hardware Interface (RAHI) Laboratory -- 1 Introduction -- 1.1 Background and Problem Identification -- 1.2 Literature Review and Proposed Solution -- 2 Technical Description -- 2.1 Server -- 2.2 Raspberry Pi and Hardware -- 2.3 Web Application -- 3 Discussion -- 3.1 Testing -- 3.2 Analysis -- 4 Future Scope -- 5 Conclusion -- References -- A Non-invasive approach for Driver Drowsiness Detection using Convolutional Neural Networks -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- Disaster Severity Analysis from Micro-Blog Texts Using Deep-NN -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Input Layer -- 3.2 Convolution Layer -- 3.3 Max-Pooling Layer -- 3.4 RNN Layer -- 3.5 Fully Connected Layer -- 4 Experimental Setup -- 4.1 Preparation of Datasets -- 4.2 Word-Embeddings -- 4.3 Network Training -- 5 Results and Discussion -- 6 Conclusion -- References -- WEKA Result Reader-A Smart Tool for Reading and Summarizing WEKA Simulator Files -- 1 Introduction -- 2 The WEKA Result Reader (WRR) -- 3 Performance Evaluation -- 3.1 Application-Level Testing of WRR Tools -- 3.2 System-Level Testing of WRR Tools -- 4 Conclusion -- References -- Predicting Reliability of Web Services Using Hidden Markov Model -- 1 Introduction -- 2 Models of NHPP -- 3 Hidden Markov Model for Reliability Model -- 3.1 Modeling the Failure Process with HMM -- 3.2 Parameter Estimation -- 3.3 Restoration of Hidden States. , 3.4 Bayesian Information Criterion (BIC) -- 4 Experiments -- 5 Conclusion -- References -- Optimal Contrast and Size-Invariant Recursive VCS Using Perfect Reconstruction of White Pixels -- 1 Introduction -- 2 Recursive Visual Cryptography Scheme -- 2.1 The RVCS Model -- 2.2 Working Example of RVCS -- 3 The Proposed Model: Size-Invariant RVCS with PRWP -- 3.1 Experimental Results -- 3.2 Analysis of Experimental Results -- 4 Conclusion -- References -- Performance Analysis of Brain Imaging Using Enriched CGLS and MRNSD in Microwave Tomography -- 1 Introduction -- 1.1 Related Works -- 2 Formulation of the Proposed Forward Process -- 3 Importance of Enriched CGLS and MRNSD Regularization Methods -- 4 Numerical Results and Discussion -- 4.1 Simulation Setup and Dataset -- 4.2 Performance Analysis on Varying Number of Antennas and Frequencies -- 4.3 Performance Analysis on Noise Distortion -- 5 Conclusion -- References -- Analysis and Identification of EEG Features for Mental Stress -- 1 Introduction -- 2 Methodology -- 2.1 Brief Procedure -- 2.2 Feature Extraction -- 2.3 Feature Selection -- 3 Results -- 4 Discussion -- 5 Conclusion -- 6 Future Work -- References -- Blockchain-Based Grievance Management System -- 1 Introduction -- 2 Benefits Over Current System -- 3 Approach -- 3.1 Working -- 3.2 System Architecture -- 3.3 Mathematical Model -- 4 Implementation -- 5 Conclusion -- References -- Utility of Neural Embeddings in Semantic Similarity of Text Data -- 1 Introduction -- 2 Neural Embedding Techniques -- 3 Methodology -- 4 Data Management -- 5 Experimental Results -- 5.1 Similarity Score Distribution -- 5.2 D-Prime -- 6 Conclusion -- References -- Big Data and Machine Learning Analytics to Detect Epileptic Seizures with Minimum Delay Using Random Window Optimization -- 1 Introduction -- 2 Big Datasets and Machine Learning. , 3 Epileptic Seizure Detection -- 4 Related Work -- 5 Methods -- 5.1 Support Vector Machine -- 5.2 Artificial Neural Network -- 6 Methodology -- 6.1 Top-K Amplitude Measure -- 6.2 Multiwindow Measure -- 6.3 Workflow -- 7 Results and Discussion -- 8 Conclusion -- References -- An Efficient Evaluation of Spatial Search on Road Networks Using G-Tree -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 G-Tree Indexing for Finding SPSP Based on Distance -- 4 Experimental Evaluation and Results -- 5 Conclusion -- References -- Investigation into the Efficacy of Various Machine Learning Techniques for Mitigation in Credit Card Fraud Detection -- 1 Introduction -- 2 Related Works -- 2.1 Machine Learning Algorithms -- 3 Proposed Methodology -- 4 Experimental Study -- 4.1 Credit Card Dataset -- 4.2 Design of Experiments -- 4.3 Performance Evaluation Measures -- 5 Results and Discussions -- 6 Conclusion and Future Work -- References -- Temporal Modeling of On-Street Parking Data for Detection of Parking Violation in Smart Cities -- 1 Introduction -- 2 Related Work -- 3 Data Collection and Preliminary Analysis -- 4 Problem Formulation -- 5 Proposed Approach -- 5.1 Proposed Detection Model -- 5.2 Proposed Algorithm -- 6 Simulation Results and Analysis -- 7 Conclusion and Future Work -- References -- Performance Optimization of Big Data Applications Using Parameter Tuning of Data Platform Features Through Feature Selection Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 4 Experiments and Results -- 5 Conclusion -- References -- Development of Emotional Decision-Making Model Using EEG Signals -- 1 Introduction -- 2 Methodology -- 2.1 Design of Experiment -- 3 Decision-Making Model -- 4 Conclusion -- References -- HMM Classifier Object Recognizing System in Brain-Computer Interface -- 1 Introduction -- 2 State of Art Development. , 3 Background.

Note: Intro -- Preface -- Contents -- About the Editors -- 1 Accurate Detection of Facial Landmark Points Using Local Intensity Information for Emotion Detection -- 1.1 Introduction -- 1.2 Materials and Methods -- 1.2.1 Materials -- 1.2.2 Proposed Methodology -- 1.3 Performance Metrics -- 1.4 Results -- 1.4.1 Eye Centers -- 1.4.2 Eyebrows -- 1.4.3 Lip Corners -- 1.5 Discussion -- 1.6 Conclusion -- References -- 2 Statistical Approach to Detect Alzheimer's Disease and Autism Spectrum-Related Neurological Disorder Using Machine Learning -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Methodology -- 2.4 Result -- 2.5 Conclusion -- 2.6 Future Work -- References -- 3 The Development and Gap of Chinese and American Open Access Journals: From the Perspective of Network Influence -- 3.1 Introduction -- 3.2 Data and Method -- 3.2.1 Sample Selection Method -- 3.2.2 Data Acquisition Platform -- 3.2.3 Data Collection Method -- 3.3 Results and Discussion -- 3.4 Comparison of Network Influence Based on Principal Component Analysis -- 3.5 Conclusion -- 3.6 Limited -- Appendix -- References -- 4 The Use of Mobile Apps to Facilitate Customers' Choice-Making When Grocery Shopping -- 4.1 Introduction -- 4.2 Method -- 4.2.1 Participants -- 4.2.2 Apparatus and Setting -- 4.2.3 Attributes -- 4.2.4 Procedure -- 4.2.5 Analysis -- 4.3 Findings -- 4.4 Discussion -- 4.4.1 Practical Implications -- 4.4.2 Limitations and Future Research -- References -- 5 Implementation of Best Hybrid Adaptive and Intelligent MIMO Detector on Reconfigurable Architecture for 5G LTE/IoT Environment -- 5.1 Introduction -- 5.2 Proposed B-HAI MIMO Detector -- 5.3 System Model -- 5.4 Architecture of HAI Detector -- 5.5 Computational Complexity Reduction -- 5.6 Performance Evaluation -- 5.7 Conclusions -- References. , 6 Automated Detection of Retinal Hemorrhage Based on Supervised Classifiers and Implementation in Hardware -- 6.1 Introduction -- 6.2 Methodology -- 6.2.1 Feature Extraction from Splats -- 6.2.2 Preliminary Feature Selection and Classification -- 6.3 Results and Discussions -- 6.3.1 Classification of Splats Using kNN and ANN Classifiers -- 6.3.2 Implementation in Hardware -- 6.4 Conclusion -- References -- 7 Data Encryption as Security Measure in IoT-Enabled Healthcare -- 7.1 Introduction -- 7.2 IoT Data in Healthcare -- 7.3 IoT Data Encryption and Compression -- 7.3.1 Basic Philosophy -- 7.3.2 Basic Details DRT and IDRT -- 7.3.3 Inverse Discrete Rajan Transform -- 7.3.4 Sparsing of Data by Retaining CPI Alone -- 7.4 Summary -- References -- 8 Agents-Based Service Restoration in Electrical Secondary Distribution Network -- 8.1 Introduction -- 8.2 Study Approach -- 8.3 Current Status of the Tanzanian Secondary Distribution Network -- 8.4 Proposed Distributed Control Model for Service Restoration -- 8.4.1 Objective Functions -- 8.4.2 Recommendations for the Improvement of the SDN -- 8.4.3 Design for the Equipment Specifications to Be Installed to Support Service Restoration in the Pilot Site -- 8.5 Conclusion -- References -- 9 Packet-Level and Physical-Level Cross-Technology Communications: A Brief Introduction -- 9.1 Introduction -- 9.2 Packet-Level CTC -- 9.2.1 FreeBee -- 9.2.2 ZigFi -- 9.3 Physical-Level CTC -- 9.4 Conclusion -- References -- 10 Smart Traffic Navigation System (STNS) to Reduce Travel Time by Integrating Signals from Navigation and Traffic Systems -- 10.1 Introduction -- 10.2 Related Work -- 10.3 Design of the Proposed Model -- 10.4 Experimental Setup -- 10.5 Implementation -- 10.5.1 Vehicle -- 10.5.2 Traffic Signal -- 10.6 Experiments and Results -- 10.6.1 Test Cases -- 10.6.2 Test System Specifications -- 10.6.3 Results. , 10.7 Conclusion -- References -- 11 Selective Sensor Control via Cauchy Schwarz Divergence -- 11.1 Introduction -- 11.2 Background and Problem Statement -- 11.2.1 Sensor Control Framework -- 11.2.2 Labeled MB Filter -- 11.2.3 Notation -- 11.2.4 Labeled-MB RFS -- 11.2.5 Labeled-MB Filter -- 11.3 Selective Sensor Control via CS-Divergence -- 11.3.1 CS-Divergence -- 11.4 Numerical Results -- 11.5 Discussion and Conclusion -- References -- 12 Step-Factor Resampling Technique for Imbalanced Sequence Data Classification -- 12.1 Introduction -- 12.2 Related Work -- 12.3 Methodology -- 12.3.1 Smoothing Technique -- 12.3.2 Resampling Technique -- 12.4 Experimental Results -- 12.4.1 Model Tuning with Smoothing Factor -- 12.4.2 Model Tuning with Resampling Technique -- 12.4.3 Performance Evaluation of Models -- 12.4.4 Best Performing Model -- 12.5 Conclusions -- References -- 13 Rice Disease Detection Based on Image Processing Technique -- 13.1 Introduction -- 13.2 Literature Review -- 13.3 Methodology -- 13.3.1 Working Diagram -- 13.3.2 Dataset Collection -- 13.3.3 Neural Network -- 13.3.4 Building Model -- 13.3.5 Compiling the Model -- 13.3.6 Training and Testing the Model -- 13.4 Result and Outcome -- 13.4.1 Learning Rate -- 13.4.2 Confusion Matrix -- 13.4.3 Classification -- 13.5 Conclusions -- References -- 14 Electromagnetic Radiation from Cell Phones Used in Dhaka City -- 14.1 Introduction -- 14.1.1 Motivation -- 14.1.2 Novelty and Contribution -- 14.2 Materials and Methods -- 14.2.1 Experimental Setup -- 14.3 Results -- 14.3.1 Epidemiological Data from Cell Phones -- 14.3.2 Radiated Power Measurement from Cell Phones -- 14.4 Discussions -- 14.5 Conclusion -- 14.5.1 Limitations -- References -- 15 Expressing Opinions Application: A Case Study at Rajamangala University of Technology, Isan, Khon Kaen Campus -- 15.1 Introduction -- 15.2 Tools and Theories. , 15.2.1 Flutter -- 15.2.2 Spring Framework -- 15.2.3 Java Script Object Notation (JSON) -- 15.2.4 SQL -- 15.3 Procedure -- 15.3.1 The Operation of the System -- 15.3.2 System Design and Development -- 15.4 Login Page -- 15.4.1 Adding Topics and Comments -- 15.4.2 Tools for System Development -- 15.5 Experimental Results -- 15.6 Conclusion -- References -- 16 Toward Clarifying Human Information Processing by Analyzing Big Data: Comparing Response Time to Questionnaires Included Heteronym Word for Problem Solving Between Visually and Auditory Types -- 16.1 Introduction -- 16.2 Problems -- 16.3 Design -- 16.4 Results -- 16.5 Discussion -- 16.6 Conclusion -- References -- 17 Mango Species Detection from Raw Leaves Using Image Processing System -- 17.1 Introduction -- 17.2 Literature Review -- 17.3 Proposed Methodology -- 17.3.1 Primary Steps for Mango Species Detection -- 17.3.2 Image Acquisition -- 17.3.3 Image Pre-processing and Classification -- 17.3.4 Architecture Model -- 17.4 Result -- 17.4.1 Statistical Analysis -- 17.4.2 Accuracy Graph -- 17.4.3 Confusion Matrix -- 17.4.4 Layer Visualization -- 17.4.5 Species Detection -- 17.5 Conclusion -- References -- 18 Frequency Reconfigurable Planner Antennas for Wireless Applications: A Review -- 18.1 Introduction -- 18.1.1 Reconfigurable Antennas -- 18.1.2 Multiple Frequency Reconfigurable Antennas -- 18.2 Ultra-Wide Band Reconfigurable Antennas -- 18.3 Conclusion -- References -- 19 Room Temperature Pt-Modified WO3/p-Si Film Gas Sensor for Detection of Methanol -- 19.1 Introduction -- 19.2 Preparation of Thin Film -- 19.3 Results and Discussions -- 19.4 Conclusions -- References -- 20 Graph Degree Linkage Clustering for Identify Student's Performance on Kompetisi Sains Madrasah in Indonesia -- 20.1 Introduction -- 20.2 Graph Degree Linkage -- 20.2.1 Algorithm Overview -- 20.2.2 Neighborhood Graph. , 20.2.3 Adjacency Measure -- 20.3 Clustering Evaluation: Silhouette -- 20.4 Result and Discussion -- 20.5 Conclusion -- References -- 21 Stepwise Iterative Maximum Likelihood Clustering Based on Kompetisi Sains Madrasah' Scores for Identifying Quality of Junior High School Grading Distribution -- 21.1 Introduction -- 21.2 Stepwise Iterative Maximum Likelihood (SIML) -- 21.3 Silhouette -- 21.4 Results and Discussion -- 21.5 Conclusion -- References -- 22 Detecting the Width of Pap Smear Cytoplasm Image Based on GLCM Feature -- 22.1 Introduction -- 22.2 Related Work -- 22.3 Method -- 22.4 Results and Discussion -- 22.4.1 Result -- 22.4.2 Discussion -- 22.5 Conclusion -- References -- 23 Design of a Novel Wideband Dipole Antenna for mm-Wave Frequencies -- 23.1 Introduction -- 23.2 Antenna Geometry and Design Formulae -- 23.3 Result and Analysis -- 23.4 Conclusion -- References -- 24 Forecasting Sea Surface Temperature in Java Sea Using Generalized Regression Neural Networks -- 24.1 Introduction -- 24.2 Sea Surface Temperature -- 24.3 GRNN -- 24.4 Results and Discussion -- 24.5 Conclusion -- References -- 25 Natural Disaster Predictions of Whirlwinds in Cilacap Region of Central Java Using Adaptive Neighborhood Modified Backpropagation (ANMBP) -- 25.1 Introduction -- 25.2 Principal Component Analysis (PCA) -- 25.3 Adaptive Neighborhood Modified Backpropagation (ANMBP) -- 25.4 Results and Discussion -- 25.4.1 Preprocessing Data -- 25.4.2 Whirlwind Predictions Using ANMBP -- 25.5 Discussion -- 25.6 Conclusion -- References -- 26 Designing Memristor-Based Timing Circuits and Performance Comparison with CMOS Counterparts -- 26.1 Introduction -- 26.2 Memristive Device Modeling -- 26.3 Logic Gates -- 26.3.1 AND and NAND Gate -- 26.3.2 OR and NOR Gate -- 26.4 Multivibrators -- 26.5 Voltage-Controlled Oscillator (VCO) -- 26.6 Conclusions -- References. , 27 Identify Elementary Student Distribution Based on Kompetisi Sains Madrasah Data Using Probabilistic Distance Clustering.

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).