Note: Intro -- ICICC-2021 Steering Committee Members -- Preface -- Contents -- About the Editors -- Building Virtual High-Performance Computing Clusters with Docker: An Application Study at the University of Economics Ho Chi Minh City -- 1 Introduction -- 2 Literature Review -- 3 Virtual High-Performance Computing Based on Virtual Clusters and Docker -- 4 Conclusions -- References -- Implementing Multilevel Graphical Password Authentication Scheme in Combination with One Time Password -- 1 Introduction -- 2 Related Works -- 3 Projected Scheme -- 4 Results and Usability Study -- 5 Comparative Analysis -- 6 Conclusion -- 7 Future Scope -- References -- State of Geographic Information Science (GIS), Spatial Analysis (SA) and Remote Sensing (RS) in India: A Machine Learning Perspective -- 1 Introduction -- 1.1 Status Quo in Indian Resources -- 1.2 Natural Disasters in India -- 1.3 The Role of GIS, RS, and SA Via ML Vis-à-Vis India -- 2 GIS Mappings: An Insight into Indian Studies -- 3 Geospatial Abridgement: ML Studies at a Glance -- 4 Conclusion and Future Scope -- References -- Application of Noise Reduction Techniques to Improve Speaker Verification to Multi-Speaker Text-to-Speech Input -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 Encoder -- 3.2 Synthesizer -- 3.3 Vocoder -- 3.4 Database -- 4 Methodology -- 4.1 System Architecture -- 5 Implementation -- 6 Results -- 6.1 Noise Reduction Using Power -- 6.2 Noise Reduction Using Centroid Analysis (No Boost) -- 6.3 Noise Reduction Using Centroid Analysis (with Boost) -- 6.4 Noise Reduction Using Mel-Frequency Cepstral Coefficient (MFCC) Down -- 6.5 Noise Reduction Using Mel-Frequency Cepstral Coefficient (MFCC) Up -- 6.6 Noise Reduction Using Median -- 6.7 Final Result -- 7 Conclusion -- References -- Utilization of Machine Learning Algorithms for Thyroid Disease Prediction. , 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 K-Nearest Neighbor Algorithm -- 3.2 Linear Discriminant Analysis -- 3.3 Logistic Regression -- 3.4 Naïve Bayes -- 3.5 Support Vector Machine -- 4 Methodology -- 4.1 Dataset -- 4.2 Applying Algorithms -- 4.3 Accuracy -- 4.4 Cross-Validation -- 5 Results -- 5.1 Cross-Validation -- 5.2 Accuracy -- 6 Conclusion -- References -- Detection of Hepatitis C Virus Progressed Patient's Liver Condition Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Exploratory Data Analysis -- 3.4 Machine Learning for Classification -- 4 Results and Discussion -- 5 Conclusion -- References -- Energy Performance Prediction of Residential Buildings Using Nonlinear Machine Learning Technique -- 1 Introduction -- 2 Data Mining Algorithms -- 2.1 Artificial Neural Networks -- 2.2 Chi-Square Automatic Interaction Detector (CHASID) -- 2.3 Classification and Regression Tree (CART) -- 2.4 Support Vector Regression (SVR) -- 2.5 General Linear Regression (GLR) -- 3 Proposed Algorithm -- 3.1 Deep Learning -- 4 Experimental Results and Discussion -- 5 Conclusion -- References -- Cloud Image Prior: Single Image Cloud Removal -- 1 Introduction -- 2 Problem Formulation -- 3 Proposed Framework and Methodology -- 3.1 Cloud Segmentation -- 3.2 Cloud Removal -- 4 Dataset -- 5 Architecture -- 6 Training -- 6.1 Cloud Segmentation -- 6.2 Cloud Removal -- 7 Results -- 8 Conclusions -- References -- Prioritizing Python Code Smells for Efficient Refactoring Using Multi-criteria Decision-Making Approach -- 1 Introduction -- 1.1 Research Contributions -- 2 Related Studies -- 3 Research Methodology -- 4 Context Selection -- 4.1 Python Software System Selection -- 4.2 Python-Based Code Smell Selection and Detection -- 5 Experimental Setup. , 5.1 Data Pre-processing -- 5.2 Weight Estimation -- 5.3 VIKOR MCDM Techniques -- 6 Results and Discussion -- 7 Threats to Validity -- 8 Conclusion -- 9 Future Scope -- References -- Forecasting Rate of Spread of Covid-19 Using Linear Regression and LSTM -- 1 Introduction -- 2 Literature Review -- 2.1 Our Work -- 3 Methods and Models -- 3.1 Data -- 3.2 Evaluation Metrics -- 3.3 Method -- 4 Experimental Result -- 4.1 Comparing with Other Studies -- 5 Conclusion and Future Scope -- References -- Employment of New Cryptography Algorithm by the Use of Spur Gear Dimensional Formula and NATO Phonetic Alphabet -- 1 Introduction -- 2 Proposed Work -- 2.1 Key Engendering -- 2.2 Encryption -- 2.3 Decryption -- 3 Result Analysis -- 4 Conclusion -- References -- Security Framework for Enhancing Security and Privacy in Healthcare Data Using Blockchain Technology -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Performance Analysis -- 5 Conclusion -- References -- American Sign Language Identification Using Hand Trackpoint Analysis -- 1 Introduction -- 2 Related Work -- 3 Data Collection -- 3.1 Feature Extraction -- 4 Preprocessing -- 4.1 Normalization of Coordinates -- 4.2 Rounding Off -- 5 Method -- 5.1 k-Nearest Neighbours Classifier (k-NN) -- 5.2 Random Forest Classifier -- 5.3 Neural Network -- 6 Observations -- 6.1 k-NN -- 6.2 Random Forest -- 6.3 Neural Network -- 7 Results and Discussion -- 8 Conclusion and Future Work -- References -- Brain Tumor Detection Using Deep Neural Network-Based Classifier -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Faster R-CNN-Based Approach for Segmentation of Images -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Detecting Diseases in Mango Leaves Using Convolutional Neural Networks -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 System Requirements. , 3.2 Preparing the Data -- 3.3 Image Manipulation -- 4 Model Design -- 4.1 Approach -- 4.2 Model Summary -- 5 Results -- 6 Conclusions and Future Scope -- References -- Recommending the Title of a Research Paper Based on Its Abstract Using Deep Learning-Based Text Summarization Approaches -- 1 Introduction -- 2 Related Work -- 3 Data Set -- 4 Methodology -- 4.1 Sequence-to-Sequence Model -- 4.2 Recurrent Neural Networks -- 5 Results -- 6 Conclusion -- References -- An Empirical Analysis of Survival Predictors for Cancer Using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection and Preprocessing -- 3.2 Classification Techniques -- 4 Results and Discussion -- 5 Conclusion -- References -- Epitope Prediction for Peptide Vaccine Against Chikungunya and Dengue Virus, Using Immunoinformatics Tools -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Airflow Control and Gas Leakage Detection System -- 1 Introduction -- 2 Related Work -- 3 Hardware and Software -- 4 Implementation -- 5 Conclusion -- References -- Impact of Lightweight Machine Learning Models for Speech Emotion Recognition -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Dataset -- 3.2 Architecture -- 3.3 Data Preprocessing -- 3.4 Building Audio Vectors and Feature Extraction -- 3.5 Classifiers -- 4 Score Calculation -- 5 Implementation Details -- 6 Results -- 7 Discussion and Limitation -- 8 Conclusion and Future Work -- References -- Impact of COVID-19 Pandemic on Mental Health Using Machine Learning and Artificial Intelligence -- 1 Introduction -- 2 Material and Method -- 2.1 Preprocessing of Data -- 3 Results and Discussion -- 4 Conclusion -- References -- Identification of Student Group Activities in Educational Institute Using Cognitive Analytics -- 1 Introduction -- 2 Related Work. , 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preparation -- 3.3 Algorithm -- 3.4 Correlation Matrix Plot -- 3.5 Groups Versus Individual -- 4 Results -- 4.1 Takeaways from the Inferences and Correlation Matrix -- 4.2 Takeaways from the Variance Distribution Graph -- 5 Conclusion and Future Work -- Appendix -- References -- A Machine Learning Model for Automated Classification of Sleep Stages using Polysomnography Signals -- 1 Introduction -- 2 Related Research -- 3 Methodology -- 3.1 Experimental Data -- 3.2 Model Architecture -- 3.3 Preprocessing -- 3.4 Features Extraction -- 3.5 Feature Selection -- 3.6 Classification -- 3.7 Model Performance Evaluation -- 4 Results and Discussion -- 4.1 Using Combinations of EEG+EMG+EOG Signals -- 5 Conclusion -- References -- An Efficient Approach for Brain Tumor Detection Using Deep Learning Techniques -- 1 Introduction -- 2 Related Works -- 3 Deep Learning -- 3.1 Convolutional Neural Network -- 3.2 Convolutional Layer -- 3.3 Pooling Layer -- 3.4 Flatten and Dense Layer -- 3.5 Strides -- 3.6 Padding -- 4 CNN Architectural Model -- 5 Data -- 5.1 Data Augmentation -- 6 Computer Vision -- 6.1 Mask R-CNN -- 7 Model Implementation -- 8 Model Output -- 9 Conclusion -- References -- Real-Time Detection of Student Engagement: Deep Learning-Based System -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 The Architecture of the Student Engagement System -- 3.2 Dataset -- 3.3 Preprocessing -- 3.4 The Architecture of Pre-training Model -- 4 Experimental Results -- 4.1 Training and Testing -- 4.2 Classifier Evaluation -- 4.3 Confusion Matrix -- 4.4 Real-Time engaged detector -- 5 Discussion -- 6 Conclusion -- References -- Bangla Handwritten Digit Recognition Based on Different Pixel Matrices -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Dataset Collection -- 4 Dataset Preparation. , 4.1 Different Pixel Image Generation.

Note: Intro -- Organizing Committee -- ICICC 2019 Steering Committee Members -- ICICC 2019 Advisory Committee -- Preface -- About This Book -- Contents -- About the Editors -- Improving the Accuracy of Collaborative Filtering-Based Recommendations by Considering the Temporal Variance of Top-N Neighbors -- 1 Introduction -- 1.1 Problem Definition -- 1.2 Proposed Solution Approach -- 1.3 Advantage of the Proposed Approach -- 1.4 Contribution of This Paper -- 1.5 Organization of the Paper -- 2 Background and Related Work -- 3 Proposed Recommendation Approach -- 4 Comparative Analysis -- 5 Conclusion -- References -- Exploring the Effect of Tasks Difficulty on Usability Scores of Academic Websites Computed Using SUS -- 1 Introduction -- 2 Research Methodology -- 2.1 End-Users Details -- 2.2 Three Subsets of Tasks Considered for Usability Evaluation -- 2.3 Procedure -- 3 Experimental Results -- 3.1 Comparative Analysis -- 3.2 Correlation and Regression -- 4 Conclusions and Future Directions -- 5 Appendix -- References -- Prediction and Estimation of Dominant Factors Contributing to Lesion Malignancy Using Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 4 Results -- 5 Conclusion -- References -- Prediction of Tuberculosis Using Supervised Learning Techniques Under Pakistani Patients -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Cleaning and Transformation -- 3.2 Environmental Setup -- 4 Results -- 5 Conclusion -- References -- Automatic Retail Invoicing and Recommendations -- 1 Introduction -- 1.1 Challenges of This Research -- 2 Related Work -- 3 Activity Recognition and Adaptation Conceptualization -- 3.1 How Indoor Environments Detect an Object's Position in Adverse GNSS Conditions? -- 3.2 What Policy Will Make Positioning Accuracy in LBS Applications?. , 3.3 How LBS-Generated Data Analysis Works (Tracking Social Media Data) -- 4 Product Recommendation as Per Body Parameters -- 4.1 Age and Height Probability Determination -- 4.2 Age and Weight Probability Assessment -- 5 Summary and Future Challenges -- References -- Modeling Open Data Usage: Decision Tree Approach -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 3.1 Data Description -- 3.2 Regression Tree -- 4 Research Results -- 5 Conclusion -- References -- Technology-Driven Smart Support System for Tourist Destination Management Organizations -- 1 Introduction -- 1.1 Overtourism -- 1.2 Digital Technologies in Hospitality and Tourism -- 2 Destination Management Systems and Tools -- 3 Technology-Driven Smart Support System for DMO -- 3.1 eDestination -- 4 Šibenik Smart Destination Case -- 4.1 Scenario 1: Visitor Satisfaction Survey eDestination -- 4.2 Scenario 2: Movement Behavior -- 4.3 Scenario 3: Advanced Visualization of Overnights -- 5 Future Research -- References -- Ortho-Expert: A Fuzzy Rule-Based Medical Expert System for Diagnosing Inflammatory Diseases of the Knee -- 1 Introduction -- 1.1 Orthopaedic Diseases -- 1.2 Knee and Knee Category -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Knowledge Engineering -- 3.2 Fuzzification of Inputs and Outputs -- 3.3 Fuzzy Rule Base Model -- 3.4 Fuzzy Inference -- 3.5 Defuzzification -- 4 Graphical User Interface -- 5 Testing -- 5.1 Predictive Values -- 6 Discussion and Conclusion -- References -- GA with k-Medoid Approach for Optimal Seed Selection to Maximize Social Influence -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Dynamic Edge Strength Score -- 2.2 Generate Initial Population Using k-Medoid Algorithm -- 2.3 Optimal Seed Selection Using Genetic Algorithm -- 3 Experiments and Results -- 3.1 Evaluation Parameter -- 3.2 Analysis of Results. , 4 Conclusion and Future Work -- References -- Sentiment Analysis on Kerala Floods -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Twitter Data Set -- 3.2 Sentiment Analysis -- 4 Results and Discussion -- 4.1 Word Cloud -- 4.2 Intensity Index -- 4.3 Comparative Word Cloud -- 4.4 Comparison Study -- 5 Result Analysis -- 6 Conclusion -- References -- Recommendation System Using Community Identification -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Experimental Setup -- 5 Results -- 6 Conclusion -- References -- Comparison of Deep Learning and Random Forest for Rumor Identification in Social Networks -- 1 Introduction -- 2 Related Work -- 3 Rumor Detection Algorithm -- 3.1 Data Set -- 3.2 Rumor Detection Features -- 3.3 Pre-processing -- 3.4 Random Forest Algorithm -- 3.5 Rumor Identification Algorithm -- 4 Experimental Results -- 4.1 Rumor Identification Evaluation -- 4.2 Performance Metrics -- 5 Conclusion -- References -- Ontological Approach to Analyze Traveler's Interest Towards Adventures Club -- 1 Introduction -- 2 Existing Systems -- 3 Our System -- 4 Methodology -- 5 Algorithm -- 6 Declaration Algorithm -- 7 Model Building of Personalized Recommendation Based on Ontology -- 8 Ontology Graph -- 9 Database Architecture -- 10 Prototype Interface -- 11 Results -- 12 Conclusion -- References -- Performance Analysis of Off-Line Signature Verification -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Gathering Database -- 3.2 Feature Extraction -- 3.3 Classifier -- 4 Experimental Setup -- 4.1 Experiment Using Combinations of Four Features (Average Object Area, Mean, Euler No. and Area) -- 4.2 The Effect of Varying Sample Size -- 4.3 The Effect of User Dependent Model -- 5 Conclusion -- References -- Fibroid Detection in Ultrasound Uterus Images Using Image Processing -- 1 Introduction -- 2 Related Works. , 3 Methodology -- 3.1 Fibroid Image -- 3.2 Preprocessing -- 3.3 Proposed Algorithm -- 3.4 Feature Extraction -- 4 Results and Discussion -- 5 Conclusion -- References -- Progressive Generative Adversarial Binary Networks for Music Generation -- 1 Introduction -- 2 Background -- 2.1 Generative Adversarial Networks -- 2.2 Progressive Growing of GANs -- 2.3 Deterministic Binary Neurons -- 2.4 Straight-Through Estimator -- 3 Proposed Model -- 3.1 Input Data -- 3.2 Generator -- 3.3 Refiner -- 3.4 Discriminator -- 4 Analysis -- 4.1 Implementation and Training -- 4.2 Results -- 4.3 User Study -- 5 Conclusion -- References -- Machine Learning Approach for Diagnosis of Autism Spectrum Disorders -- 1 Introduction -- 2 Literature Survey -- 3 Data Acquisition and Preprocessing -- 4 Methodologies -- 4.1 Decision Tree -- 4.2 Random Forest (RF) -- 4.3 Logistic Regression -- 4.4 Support Vector Machine Classifier (SVM) -- 4.5 Gaussian Naive Bayes (GNB) -- 4.6 K-Nearest Neighbor Algorithm (KNN) -- 4.7 Perceptron Learning -- 4.8 Extreme Random Forest (ERF) -- 5 Implementation -- 5.1 Classification Model -- 5.2 Backend -- 5.3 Android Application -- 6 Result -- 7 Future Work -- 8 Conclusion -- References -- Methodologies for Epilepsy Detection: Survey and Review -- 1 Introduction -- 2 Methodologies -- 2.1 Artificial Neural Network (ANN) -- 2.2 K-Means Clustering -- 2.3 Radial Basis Function Neural Network (RBFNN) -- 2.4 Approximate Entropy (ApEn) -- 2.5 Principal Component Analysis (PCA) -- 2.6 Empirical Mode Decomposition (EMD) -- 2.7 Backpropagation Neural Network (BPNN) -- 3 Comparative Study -- 3.1 Using Wavelet Decomposition -- 3.2 Using ApEn for Evaluation -- 3.3 Using PCA Technique -- 3.4 Using Empirical Mode Decomposition -- 3.5 Using Backpropagation Neural Network -- 3.6 Using Epilepsy Spectrum Device -- 4 Results and Discussions -- 5 Conclusion -- References. , Scene Understanding Using Deep Neural Networks-Objects, Actions, and Events: A Review -- 1 Introduction -- 2 Evolution of Scene Understanding -- 2.1 Image Classification -- 2.2 Object Detection -- 2.3 Semantic Segmentation -- 2.4 Instance Segmentation -- 2.5 Event Recognition -- 3 Dataset -- 4 Conclusions -- References -- Scene Text Recognition: A Preliminary Investigation on Various Techniques and Implementation Using Deep Learning Classifiers -- 1 Introduction -- 2 Architectural Framework -- 3 Scene Text Localization and Recognition Methodologies -- 4 Table Giving the Literature Review of Papers with Dataset -- 5 Results and Discussions -- 6 Conclusions -- References -- Computer-Aided Diagnosis System for Investigation and Detection of Epilepsy Using Machine Learning Techniques -- 1 Introduction -- 1.1 Detection and Diagnosis of Epilepsy -- 2 Literature Survey -- 3 Architecture for Epilepsy Classification -- 3.1 EEG Data -- 3.2 Signal Classification -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Moments-Based Feature Vector Extraction for Iris Recognition -- 1 Introduction -- 2 Proposed Moments for Iris Recognition -- 2.1 Hu Moments -- 2.2 TChebyshev Moments -- 2.3 Coiflet Moments -- 2.4 Gabor Moments -- 2.5 Affine and Blur Invariant Moments -- 3 Experimental Results and Discussions -- 4 Conclusions -- References -- A Novel Approach to Improve Website Ranking Using Digital Marketing -- 1 Introduction -- 2 Search Engines -- 2.1 Types -- 2.2 Factors Affecting Search Engine Ranking of a Website -- 3 Net Market Share Analysis -- 4 Sem Techniques -- 5 Proposed Approach -- 6 Conclusion and Future Work -- References -- A Comparative Study on Different Skull Stripping Techniques from Brain Magnetic Resonance Imaging -- 1 Introduction -- 2 Brain MRI Skull Stripping Methodologies -- 2.1 Mathematical Morphology-Based Methods. , 2.2 Intensity Based Methods.

Note: Intro -- ICICC-2019 Steering Committee Members -- General Chairs -- Honorary Chair -- Conference/Symposium Chair -- Technical Program Chairs -- Conveners -- Publicity Chairs -- Publication Chairs -- Co-conveners -- ICICC-2019 Advisory Committee -- Preface -- About This Book (Volume 2) -- Contents -- About the Editors -- Implementation of Square-Odd Scanning Technique in WBAN for Energy Conservation -- 1 Introduction -- 2 Square-Odd Scanning Algorithm -- 3 Conclusion -- 4 Future Scope -- References -- Experimental Analysis of OpenStack Effect on Host Resources Utilization -- 1 Introduction -- 2 Related Work -- 3 Experimental Design -- 3.1 Scenario 1 (S1) -- 3.2 Scenario 2 (S2) -- 4 Results and Discussion -- 4.1 Scenario 1 Results -- 4.2 Scenario 2 Results -- 5 Conclusions -- References -- Effect of Dropout and Batch Normalization in Siamese Network for Face Recognition -- 1 Introduction -- 2 Related Work -- 2.1 Face Recognition-Via Deep Learning -- 2.2 Siamese Convolutional Network -- 2.3 Computationally Effective Methods for Face Recognition -- 2.4 Dropout -- 2.5 Batch Normalization -- 3 Outlines of Present Work -- 3.1 Data Acquisition -- 3.2 Data Preprocessing -- 3.3 Designing the Computation Graph -- 3.4 Network Optimization -- 4 Experimental Results and Analysis -- 4.1 Loss Variation with Changing Dropout Values -- 4.2 Dropout Versus Batch Normalization -- 4.3 Experiment Using Serialized Dropout and Normalization Layers -- 4.4 Comparing Normalization with Dropout After Batch Normalization -- 4.5 Deciding the Order of Batch Normalization and Activation Layer -- 5 Key Outcomes -- 6 Conclusion -- References -- A Flag-Shaped Microstrip Patch Antenna for Multiband Operation -- 1 Introduction and Literature Survey -- 2 Proposed Antenna Design -- 3 Experimental Results and Discussions -- 4 Conclusion -- References. , Design of Low-Power and High-Frequency Operational Transconductance Amplifier for Filter Applications -- 1 Introduction -- 2 Design Methodology -- 3 Computation of Parameters -- 4 OTA Applications -- 5 Conclusion -- References -- Design of Low Power Operational Amplifier for ECG Recording -- 1 Introduction -- 2 Design Methodology -- 2.1 Transistor Level Design: Folded Cascode Operational Amplifier -- 2.2 Modified Architecture Using Nulling Resistor Approach -- 3 Design Procedure for Folded Cascode and Fully Differential Op-Amp -- 3.1 Design of Folded Cascode Op-Amp -- 3.2 Design of Fully Differential Amplifier -- 4 Simulation Results -- 5 Conclusion -- References -- Evasion Attack for Fingerprint Biometric System and Countermeasure -- 1 Introduction -- 2 Summary of Literature -- 3 Proposed Methodology -- 4 Results and Inferences -- 5 Conclusion -- References -- Current-Phase Synthesis of Linear Antenna Arrays Using Particle Swarm Optimization Variants -- 1 Introduction -- 2 Problem Definition -- 2.1 Array Factor and Design Parameters of Linear Arrays -- 2.2 Definition of the Objective Function -- 3 Adopted PSO Variants and Conditions of Simulation Run -- 3.1 Conditions of Simulation Run -- 4 Simulation Run Statistics -- 4.1 Results -- 4.2 Discussions -- 5 Conclusions -- References -- Fair Channel Distribution-Based Congestion Control in Vehicular Ad Hoc Networks -- 1 Introduction -- 2 Related Work -- 3 Proposed Scheme -- 4 Simulation Results -- 5 Conclusion -- References -- Comparative Study of TDMA-Based MAC Protocols in VANET: A Mirror Review -- 1 Introduction -- 1.1 VANET MAC Protocol Configuration Issues -- 1.2 Performance Metrics -- 2 Literature Survey -- 3 MAC Protocols for VANETs -- 3.1 Classification of TDMA-Based MAC Protocols -- 3.2 TDMA-Based MAC Protocols in a Fully Distributed VANET (TDV). , 3.3 TDMA-Based MAC Protocols in a Cluster-Based Topology (TCBT) -- 3.4 TDMA-Based MAC Protocols in Centralized Topology (TCT) -- 4 Conclusion -- References -- Node Authentication in IoT-Enabled Sensor Network Using Middleware -- 1 Introduction -- 2 Background -- 3 Proposed Technique -- 4 Experimental Results -- 5 Conclusion -- References -- An Efficient Data Aggregation Approach for Prolonging Lifetime of Wireless Sensor Network -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Criteria for Cluster Head Selection in Proposed MESA2DA Approach -- 3.2 Life Road of MESA2DA Approach -- 3.3 Criteria for Aggregation and Cluster Head Data Collection in Proposed MESA2DA Approach -- 3.4 MESA2DA Algorithm for Cluster Head Formation and Data Collection -- 3.5 Data Aggregation by Proposed MESA2DA Approach -- 3.6 Communication Energy -- 4 Experimental Results -- 5 Conclusion and Future Scope -- References -- A Comprehensive Review of Keystroke Dynamics-Based Authentication Mechanism -- 1 Introduction -- 2 Background of Keystroke Dynamics -- 3 Keystroke Dynamics Features -- 4 Classification Methods -- 5 Metrics and Datasets for Evaluation -- 6 Conclusion and Future Work -- References -- Performance Analysis of Routing Protocols in Wireless Sensor Networks -- 1 Introduction -- 2 Routing Protocols in WSNs -- 3 Simulation Setup and Results -- 4 Discussion -- 5 Conclusion -- References -- Controlled Access Energy Coding (CAEC) for Wireless Adhoc Network -- 1 Introduction -- 2 Access Interference Problem -- 3 Objectives -- 4 Controlled Access Energy Coding (CAEC) -- 5 Results and Observations -- 5.1 Simulation -- 5.2 The Effect of CAEC of Generated Scattered Network -- 5.3 The Effect of CAEC of Throughput Plot -- 5.4 The Effect of CAEC of Energy Consumption Plot -- 5.5 The Effect of CAEC of Simultaneous Transmission Probability. , 5.6 The Effect of CAEC of Communication Delay Plot -- 5.7 Real-Time Implementation -- 6 Conclusion -- References -- IoT-Based HelpAgeSensor Device for Senior Citizens -- 1 Introduction -- 2 Related Works -- 3 System Description and Components -- 4 Proposed Framework of HelpAgeSensor Device -- 5 Conclusion -- References -- Optimization of LEACH for Developing Effective Energy-Efficient Protocol in WSN -- 1 Introduction -- 2 Related Work -- 3 Network Model Evolution -- 4 Improved LEACH -- 4.1 Network Construction Phase -- 4.2 Network Construction Phase -- 4.3 Network Construction Phase -- 4.4 Data Transmission -- 5 Simulation Model and Results -- 6 Conclusion -- References -- Automated Vehicle Management System Using Wireless Technology -- 1 Introduction -- 2 Some Previous Works -- 3 Simulation Algorithm -- 4 Hardware Device Specification -- 5 Software Specification-Otsu's Method -- 6 Results and Discussions -- 7 Conclusion -- References -- A Supply Chain Replenishment Inflationary Inventory Model with Trade Credit -- 1 Introduction -- 2 Postulates and Terminology -- 2.1 Postulates -- 2.2 Terminology -- 3 Model Approach and Analysis -- 4 Optimality Condition for PWTCrN and PWTCsJ -- 4.1 Numerical Exercise -- 5 Sensitivity Analysis -- 6 Conclusions -- References -- Customer Churn Prediction in Telecommunications Using Gradient Boosted Trees -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Ensemble Learning -- 3.2 Bagging and Boosting -- 3.3 Gradient Boosting -- 3.4 XGBoost -- 4 Experiments -- 4.1 About the Dataset -- 4.2 Data Preprocessing -- 4.3 Model Building -- 5 Evaluation and Results -- 6 Conclusion -- 7 Future Scope -- References -- Efficient Evolutionary Approach for Virtual Machine Placement in Cloud Data Center -- 1 Introduction -- 2 Cloud Data Center Hierarchical Network Model -- 3 PSO Algorithm -- 3.1 Particle Representation. , 4 Distributed PSO Algorithm -- 5 Experimental Results -- 6 Conclusion and Future Work -- References -- SCiJP: Solving Computing Issues by Java Design Pattern -- 1 Introduction -- 2 Related Work -- 3 Gang of Four (GoF) -- 3.1 Favor Object Composition over Inheritance -- 3.2 Program to an Interface Not an Implementation -- 4 Classification of Design Patterns -- 5 Proposed Design Pattern Approach for Java Cryptography Architecture (JCA) -- 5.1 DES (Data Encryption Standard) -- 5.2 Design and Implementation -- 6 Advantages of Design Pattern -- 7 Drawbacks of Design Pattern -- 8 Conclusion -- References -- Permissioned Blockchain-Based Agriculture Network in Rootnet Protocol -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 4 Rootnet Protocol -- 4.1 Blockchain -- 4.2 Permissioned Blockchain -- 4.3 Rootnet Architecture -- 5 System Design -- 5.1 Rootnet Registration -- 5.2 Rootnet Transactions -- 5.3 Consumers -- 5.4 Producers -- 6 Conclusion -- References -- Load Balancing and Fault Tolerance-Based Routing in Wireless Sensor Networks -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Load Balancing Phase -- 3.2 Fault Tolerance Phase -- 4 Simulation Results -- 5 Conclusion and Future Scope -- References -- A Novel Context Migration Model for Fog-Enabled Cross-Vertical IoT Applications -- 1 Introduction -- 2 Uses of Fog Layer for Real-Time Cross-Vertical IoT Application -- 2.1 Fog Node Architecture -- 3 Context Management in Fog Node -- 3.1 Application Migration Problem -- 4 Resource Aware and Forecast-Based Context Migration -- 5 Simulation Setup and Result Discussion -- 6 Conclusion -- References -- Equity Data Distribution Algorithms on Identical Routers -- 1 Introduction -- 2 Problem Description -- 3 Heuristics -- 3.1 Non-decreasing Size Order Heuristic (NDS) -- 3.2 Non-increasing Size Order Heuristic (NIS). , 3.3 Sizing Multi-fit-Based Heuristic(SMF).

Note: Intro -- ICICC-2020 Steering Committee Members -- Patrons -- General Chairs -- Honorary Chairs -- Conference Chairs -- Technical Program Chairs -- Editorial Chairs -- Conveners -- Publication Chairs -- Publicity Chairs -- Co-convener -- Organizing Chairs -- Organizing Team -- Preface -- About This Book -- Contents -- About the Editors -- Systematic Analysis and Prediction of Air Quality Index in Delhi -- 1 Introduction -- 2 Literature Review -- 2.1 Pollutants: A Study on the Effects on Human Health -- 3 Pollutant Data Collection for the City of Delhi -- 3.1 Area Selected -- 3.2 Method of Pollutant Data Collection -- 3.3 Air Quality Index Assessment -- 4 Data Analysis Results -- 4.1 Factor Identification -- 4.2 Analysis and Results -- 5 Prediction of Future Pollution Data -- 5.1 Holt-Winter Model -- 5.2 Application of Holt-Winter to Predicted Results and Discussion -- 6 Conclusions -- References -- Proof of Game (PoG): A Proof of Work (PoW)'s Extended Consensus Algorithm for Healthcare Application -- 1 Introduction -- 2 Literature Survey -- 3 Proposed PoG Approach -- 4 PoG Integrated Proposed Healthcare Application Model -- 5 Analysis -- 6 Conclusion -- References -- Analysis of Diabetes and Heart Disease in Big Data Using MapReduce Framework -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- 6 Future Scope -- References -- User Interface of a Drawing App for Children: Design and Effectiveness -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 The App -- 3.2 Study Design -- 3.3 Statistical Analysis -- 4 Results -- 4.1 Quantitative Results -- 4.2 Analysis of the Children's Drawings -- 5 Discussion -- 6 Conclusion -- References -- Rank Aggregation Using Moth Search for Web -- 1 Introduction -- 2 Rank Aggregation (RA) Methods for MetaSearch -- 3 Genetic Algorithm (GA). , 4 Proposed Moth Search Algorithm (MSA)-Based Aggregation Approach -- 5 Results and Discussion -- 5.1 Comparative Analysis of MSA and GA Approach -- 5.2 Query Analysis for Best Optimized Aggregated List -- 6 Conclusion and Future Scope -- References -- A Predictive Approach to Academic Performance Analysis of Students Based on Parental Influence -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Formula -- 3.2 Data Interpretation -- 4 Results and Discussions -- 5 Predictive Modelling -- 6 Conclusions -- References -- Handling Class Imbalance Problem in Heterogeneous Cross-Project Defect Prediction -- 1 Introduction -- 2 Basic Terminologies -- 2.1 Heterogeneous Cross-Project Defect Prediction (HCPDP) Model -- 2.2 Class Imbalance Problem -- 3 Related Work -- 4 Proposed Work -- 5 Experimental Results and Discussion -- 6 Conclusion -- References -- A Heterogeneous Dynamic Scheduling Minimize Energy-HDSME -- 1 Introduction -- 2 Related Work -- 3 Architecture of HDSME and Model of the System -- 3.1 The Reference Architecture of HDSME -- 3.2 Resources Required for Computation -- 3.3 Usage of Power in HDSME -- 4 Result and Analysis -- 5 Conclusion -- References -- A Generic Framework for Evolution of Deep Neural Networks Using Genetic Algorithms -- 1 Introduction -- 2 Basics of Deep Neural Networks -- 2.1 Deep Neural Networks -- 2.2 DNN Hyperparameters -- 2.3 Dropout Layer -- 2.4 Applications of DNNs -- 3 Genetic Algorithms -- 3.1 Population Initialization -- 3.2 Selection -- 3.3 Crossover -- 3.4 Mutation -- 3.5 Fitness Function -- 4 Proposed Methodology -- 4.1 Proposed Chromosome Structure -- 4.2 Proposed Framework -- 4.3 Fitness Evaluation -- 5 Results -- 6 Conclusion -- References -- Online Economy on the Move: The Future of Blockchain in the Modern Banking System -- 1 Introduction -- 1.1 Banking System Prevalent in India Today. , 1.2 Problems Faced by the Banking Systems Today -- 1.3 Blockchain -- 1.4 Blockchain Consensus Protocols -- 2 Methodology Adopted -- 2.1 Designing Two-Hop Blockchain Consensus Model -- 2.2 Types of Blockchain Platforms Applicable to the Banking System -- 2.3 Assessment of the Blockchain Platform -- 3 Results and Discussion -- 3.1 Designing Two-Hop Blockchain Consensus Model -- 3.2 Types of Blockchain Platforms Applicable to the Banking System -- 3.3 Assessment of the Blockchain Platform -- 4 Conclusion -- 5 Future Work -- References -- A Novel Framework for Distributed Stream Processing and Analysis of Twitter Data -- 1 Introduction -- 2 Related Work -- 2.1 Study of Architectures for Stream Processing -- 2.2 Study of Frameworks for Stream Processing -- 2.3 Study of in-Memory Computing Framework -- 3 Proposed Framework -- 3.1 Setting up Twitter Account -- 3.2 Integrating with Apache Kafka -- 3.3 Integrating with Apache Cassandra -- 4 Illustrations -- 4.1 Setting up Spark -- 4.2 Stream Live Tweets with Spark Streaming -- 5 Module Analysis -- 5.1 Print Tweets Module Analysis -- 5.2 Average Tweet Length Analysis -- 5.3 Most Popular Hashtag Analysis -- 6 Results -- 7 Conclusion -- References -- Turbo Code with Hybrid Interleaver in the Presence of Impulsive Noise -- 1 Introduction -- 2 Symmetric Alpha-Stable Noise (SαS) -- 3 Interleaver Design -- 4 Simulation Results -- 5 Conclusion -- References -- Performance Evaluation of Weighted Fair Queuing Model for Bandwidth Allocation -- 1 Introduction -- 2 Iterative Bandwidth Allocation Model -- 3 Simulation Setup -- 4 Performance Evaluation -- 5 Conclusion -- References -- Modified Bio-Inspired Algorithms for Intrusion Detection System -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work/Methodology -- 3.1 Binary Particle Swarm Optimization (BPSO) -- 3.2 Binary Firefly Algorithm (BFA). , 3.3 Modified Cuttlefish Algorithm (MCFA) -- 4 Implementation and Results -- 4.1 Dataset -- 4.2 Machine Learning Classifiers -- 5 Results -- 6 Conclusion -- References -- An Analysis on Incompetent Search Engine and Its Search Engine Optimization (SEO) -- 1 Introduction -- 2 Search Engine Optimization -- 2.1 Page Ranking -- 2.2 On-Page Optimization -- 2.3 Off-Page Optimization -- 3 Proposed Problem: Differ Google Results on Different Platform -- 3.1 Differ Search Results in Different Browsers -- 3.2 Differ Search Results in Multilingual Mode -- 3.3 Differ Search Results in Low End Devices -- 4 Conclusion -- References -- Infotainment System Using CAN Protocol and System on Module with Qt Application for Formula-Style Electric Vehicles -- 1 Introduction -- 2 Motivation -- 3 Design -- 4 Specifications of the Automobile Developed -- 4.1 Accumulator -- 4.2 Motor -- 4.3 Control and Safety Circuits -- 5 Methodology and Setup -- 6 Results and Discussion -- 7 Conclusion -- References -- A Novel Approach for SQL Injection Avoidance Using Two-Level Restricted Application Prevention (TRAP) Technique -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Proposed Work -- 4.1 Introduction to Proposed Work -- 4.2 Two-Level Restricted Application Prevention (TRAP) Technique Architecture -- 4.3 Two-Level Restricted Application Prevention (TRAP) Technique Working Methodology -- 5 Results and Discussion -- 5.1 Time Comparison of Time-Based Attacks -- 5.2 Time Comparison of Union-Based Attacks -- 5.3 KPI Comparison of TRAP Technique with Existing Techniques -- 6 Conclusion and Future Work -- References -- Prediction of Cardiovascular Disease Through Cutting-Edge Deep Learning Technologies: An Empirical Study Based on TENSORFLOW, PYTORCH and KERAS -- 1 Introduction -- 2 Related Work -- 3 Empirical Examination of Conventional and Deep Learning Practices. , 3.1 Performance of Conventional Classifiers in Predicting the Disease -- 3.2 Exploitation of Cutting-Edge Technologies Encompassing of TENSORFLOW, PYTORCH and KERAS -- 3.3 Data Visualization -- 4 Conclusion -- References -- Study and Analysis of Time Series of Weather Data of Classification and Clustering Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Rotation Estimation -- 2.2 Rotation Estimation-Based Navie Bayes -- 2.3 Rotation Estimation-Based J48 -- 2.4 Rotation Estimation-Based LIBSVM -- 2.5 K-Means Clustering -- 2.6 EM Clustering -- 2.7 Hierarchical Clustering -- 3 Results and Discussions -- 4 Conclusion -- References -- Convection Dynamics of Nanofluids for Temperature and Magnetic Field Variations -- 1 Introduction -- 2 Mathematical Modeling -- 2.1 Linear Stability Analysis -- 3 Numerical Simulation -- 4 Conclusion -- References -- A Lightweight Secure Authentication Protocol for Wireless Sensor Networks -- 1 Introduction -- 2 Literature Review -- 3 Proposed Scheme -- 3.1 User Registration Phase -- 3.2 User Login Phase -- 3.3 Authentication Phase -- 4 Experimental Results -- 4.1 Security Analysis -- 5 Conclusion -- References -- Movie Recommendation Using Content-Based and Collaborative Filtering -- 1 Introduction -- 1.1 What Is a Recommender Engine? -- 2 Related Work -- 3 Proposed Work -- 3.1 Overview -- 3.2 Data Acquisition -- 3.3 Data Cleaning -- 3.4 The Proposed Algorithm -- 3.5 The Algorithm -- 4 Related Technologies -- 5 Result Analysis -- 6 Conclusion and Future Work -- References -- Feature Selection Algorithms and Student Academic Performance: A Study -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Experimental Setup -- 3.2 Feature Selection Algorithm and Classifiers -- 4 Results and Discussions -- 5 Conclusion and Future Scope -- References. , MobiSamadhaan-Intelligent Vision-Based Smart City Solution.

Note: Intro -- ICICC-2020 Steering Committee Members -- Patrons -- General Chairs -- Honorary Chairs -- Conference Chairs -- Technical Program Chairs -- Editorial Chairs -- Conveners -- Publication Chairs -- Publicity Chairs -- Co-convener -- Organizing Chairs -- Organizing Team -- Preface -- About This Book -- Contents -- About the Editors -- A Dummy Location Generation Model for Location Privacy in Vehicular Ad hoc Networks -- 1 Introduction -- 2 Related Work -- 3 Our Threat Model and Dummy Generation -- 3.1 Threat Model -- 3.2 The Dummy Generation Scheme -- 3.3 Our Attack Model -- 4 Our Proposed Work -- 4.1 Generating Frequent Visited Locations of Vehicles -- 4.2 Assessment of Vulnerable Time/Location Pairs -- 5 Experimental Design and Evaluation -- 5.1 Experimental Settings -- 5.2 Experimental Results -- 6 Conclusion and Future Aspects -- References -- Evaluating User Influence in Social Networks Using k-core -- 1 Introduction -- 2 Influence Maximization -- 3 Existing Work -- 4 Proposed Method -- 5 Datasets -- 6 Experimental Results -- 7 Conclusion -- References -- Depression Anatomy Using Combinational Deep Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Dataset -- 4 Model Architecture -- 5 Result -- 6 Conclusion and Future Scope -- References -- A Hybrid Cost-Effective Genetic and Firefly Algorithm for Workflow Scheduling in Cloud -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Result and Discussions -- 4.1 Analysis in Terms of Finish Time -- 4.2 Analysis in Terms of Execution Cost -- 4.3 Analysis in Terms of Termination Delay -- 5 Conclusion -- References -- Flexible Dielectric Resonator Antenna Using Polydimethylsiloxane Substrate as Dielectric Resonator for Breast Cancer Diagnostics -- 1 Introduction -- 2 Proposed DRA Antenna Design and Specifications -- 2.1 Step by Step Implementation of Proposed Antenna. , 2.2 Performance of DRA Without Bending and With Bending -- 3 Effects of Human Body on Designed DRA -- 4 Breast Cancer Detection Using Designed DRA -- 5 Conclusion -- References -- Machine Learning-Based Prototype for Restaurant Rating Prediction and Cuisine Selection -- 1 Introduction -- 2 Technologies Used -- 3 State of Art -- 4 Architecture Design -- 5 Implementation and Results -- 6 Conclusion -- 7 Future Works -- References -- Deeper into Image Classification -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Investigation of Ionospheric Total Electron Content (TEC) During Summer Months for Ionosphere Modeling in Indian Region Using Dual-Frequency NavIC System -- 1 Introduction -- 2 Estimation of STEC and VTEC -- 2.1 Smoothing and True STEC -- 2.2 Estimation of VTEC -- 3 Analysis of STEC and VTEC -- 4 Conclusion -- References -- An Improved Terrain Profiling System with High-Precision Range Measurement Method for Underwater Surveyor Robot -- 1 Introduction -- 2 Design of Underwater Surveyor Robot -- 2.1 Hardware -- 2.2 High-Precision Range Measurement Methods -- 3 Result -- 4 Conclusion -- References -- Prediction of Diabetes Mellitus: Comparative Study of Various Machine Learning Models -- 1 Introduction -- 2 Problem Statement -- 3 Machine Learning Techniques -- 4 Validation Techniques -- 4.1 k-fold Cross-Validation -- 4.2 Percentage Split -- 5 Findings/Literature Review -- 6 Results and Discussion -- 7 Conclusion -- 8 Challenges, Future Directions and Limitations -- References -- Tracking of Soccer Players Using Optical Flow -- 1 Introduction -- 2 Literature Survey -- 2.1 Soccer Game Dataset -- 3 Methodology -- 3.1 Hierarchical Part Based Segmentation -- 3.2 Optical Flow Analysis -- 4 Experimental Result -- 5 Conclusion -- References. , Selection of Probabilistic Data Structures for SPV Wallet Filtering -- 1 Introduction -- 1.1 Bloom Filter -- 2 Literature Review -- 3 Working -- 3.1 Cuckoo Filter -- 4 Implementation -- 5 Comparison -- 6 Conclusion -- References -- Hybrid BF-PSO Algorithm for Automatic Voltage Regulator System -- 1 Introduction -- 2 AVR System -- 3 Bacteria Foraging -- 4 Particle Swarm Optimization -- 5 Self-tuning BFO Based PSO Optimization Algorithm for PID Controller -- 6 Simulation Results -- 7 Conclusion -- References -- Malware Classification Using Multi-layer Perceptron Model -- 1 Introduction -- 2 Related Work -- 3 Multi-layer Perceptron -- 3.1 Steps in the Training of MLP Model -- 4 Methodology -- 4.1 Data Sample Collection -- 4.2 Experiment Setup -- 4.3 Processing of Runtime Features -- 4.4 Parameter Tuning of MLP Model -- 5 Results and Discussion -- 6 Conclusion -- References -- Protocol Random Forest Model to Enhance the Effectiveness of Intrusion Detection Identification -- 1 Introduction -- 2 Related Work -- 3 Intrusion Datasets for Experimental Work -- 3.1 The NSL-KDD Dataset -- 3.2 Three Protocol Datasets -- 4 Methodologies -- 4.1 Feature Selection Process Using Genetic Algorithm -- 4.2 Random Forest -- 4.3 Evaluation Metrics -- 5 Result and Conclusion -- 5.1 Performance Comparison of Different Tree Sizes -- 5.2 Performance Comparison with Other Research Work -- 6 Conclusion -- References -- Detecting User's Spreading Influence Using Community Structure and Label Propagation -- 1 Introduction -- 2 Methodologies -- 2.1 Independent Cascade (IC) Model -- 2.2 h-Index Centrality -- 3 Proposed Method -- 3.1 Seeding Phase -- 3.2 Label Propagation Phase -- 3.3 Finding k-Influential Nodes -- 4 Experimental Results and Discussion -- 5 Conclusion -- References -- Bagging- and Boosting-Based Latent Fingerprint Image Classification and Segmentation. , 1 Introduction -- 2 Classifiers -- 2.1 Bagging Versus Boosting Techniques -- 2.2 Random Decision Forest Classifier (RDF) Versus Adaboost -- 3 Proposed Method -- 4 Experimentation and Results -- 4.1 Experimental Setup -- 4.2 Preparing Data -- 4.3 Classification Performance -- 4.4 Results -- 5 Conclusion -- References -- Selecting Social Robot by Understanding Human-Robot Interaction -- 1 Introduction -- 2 Knowing Your Robot -- 3 Selecting Your Robot -- 4 MCDM Method -- 5 Conclusion -- References -- Flooding and Forwarding Based on Efficient Routing Protocol -- 1 Introduction -- 2 Related Work -- 3 Proposed Protocol -- 4 Experimental Results -- 4.1 Delivery Rate -- 4.2 Average Duration of Inter-contact -- 4.3 Delivery Delay -- 4.4 Overhead -- 4.5 Hop Count -- 4.6 Comparisons B/W the Protocols -- 5 Conclusion and Future Work -- References -- Hardware-Based Parallelism Scheme for Image Steganography Speed up -- 1 Introduction -- 2 Related Work -- 3 Image Steganography -- 4 Implementation Details -- 4.1 Image Steganography Algorithm -- 4.2 GPU Parallelism -- 4.3 Experimental Results of Using GPUs -- 4.4 Experimental Results of NOC -- 5 Conclusion -- References -- Predicting Group Size for Software Issues in an Open-Source Software Development Environment -- 1 Introduction -- 2 Related Work and Background -- 2.1 Classification and Regression Trees (CaRT) -- 2.2 Social Information Foraging -- 3 Research Methodology -- 3.1 Project Selection and Data Extraction -- 3.2 Prediction Models -- 4 Evaluation and Result Analysis -- 5 Conclusion -- References -- Wireless CNC Plotter for PCB Using Android Application -- 1 Introduction -- 2 Previous Work -- 3 System Architecture -- 3.1 Overview -- 3.2 Microcontroller -- 3.3 Bluetooth -- 3.4 Motor Driver -- 3.5 Stepper Motor -- 3.6 16 × 2 LCD -- 3.7 Stepper Motor -- 3.8 Secure Digital Card -- 3.9 Indicators. , 3.10 Power Drive -- 3.11 Android Application -- 4 System Implementations -- 5 Conclusions -- References -- Epileptic Seizure Detection Using Machine Learning Techniques -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 EEG Dataset Description -- 3.2 Machine Learning Classifiers -- 4 Experimental Results and Discussion -- 4.1 Experimental Results -- 5 Conclusion -- References -- Analysis of Minimum Support Price Prediction for Indian Crops Using Machine Learning and Numerical Methods -- 1 Introduction -- 2 Background Work -- 3 Methodologies -- 3.1 Linear Regression -- 3.2 Recurrent Neural Network -- 3.3 Newton's Forward Interpolation -- 3.4 Newton's Gregory Backward Interpolation -- 3.5 Lagrange's Interpolation Method -- 3.6 Exponential Smoothing -- 4 Experimental Data Set -- 5 Results -- 6 Conclusion -- References -- A Robust Methodology for Creating Large Image Datasets Using a Universal Format -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Gray-Scaling and Inversion -- 3.2 Dilation/Erosion -- 3.3 Canny Edge Detection -- 3.4 Contours -- 3.5 Mapping Pixel Comparison -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References -- A Comparative Empirical Evaluation of Topic Modeling Techniques -- 1 Introduction -- 2 Topic Modeling Techniques -- 2.1 Latent Semantic Analysis -- 2.2 Latent Dirichlet Allocation -- 2.3 Correlated Topic Model -- 3 Comparison Methodology for Topic Modeling Techniques -- 3.1 Data Set -- 3.2 Pre-processing -- 3.3 Hyperparameter Selection -- 3.4 Implementation Details -- 4 Evaluation Metrics -- 4.1 Probabilistic Coherence -- 4.2 Prevalence Score -- 5 Result and Evaluation -- 5.1 Probabilistic Coherence Score -- 6 Conclusion -- References -- An Analysis of Machine Learning Techniques for Flood Mitigation -- 1 Introduction -- 2 Related Work -- 2.1 Flood Early Warning System. , 2.2 Data Collection for Early Warning System.

Note: Intro -- ICICC-2018 Steering Committee Members -- ICICC-2018 Advisory Committee -- Preface -- About This Book (Volume 2) -- Contents -- Editors and Contributors -- An Optimization Technique for Unsupervised Automatic Extractive Bug Report Summarization -- 1 Introduction -- 2 Related Work -- 2.1 Supervised Learning Methods -- 2.2 Unsupervised Learning Methods -- 3 Proposed Summarization System -- 3.1 Proposed Approach -- 3.2 Proposed Algorithm -- 4 Experimental Result -- 5 Conclusion -- References -- Prediction of Air Quality Using Time Series Data Mining -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Data Collection -- 2.2 Data Preprocessing -- 2.3 Data Reduction -- 2.4 Pattern Extraction Using CTSPD Algorithm -- 3 Experiments and Results -- 4 Conclusion -- References -- Optimisation of C5.0 Using Association Rules and Prediction of Employee Attrition -- 1 Introduction -- 2 Literature Survey -- 3 Materials and Methods -- 3.1 Association Technique -- 3.2 Decision Tree -- 4 Proposed Research -- 5 Performance Comparison and Result -- 6 Future Work -- 7 Conclusion -- References -- Stress Analysis Using Speech Signal -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System Model -- 4 Mathematical Modulation -- 5 Corpus Selections -- 6 Result and Discussion -- 7 Conclusion -- References -- Subject-Independent Emotion Detection from EEG Signals Using Deep Neural Network -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 DEAP Database -- 3.2 Wavelet Coefficients as Features -- 3.3 Classification -- 4 Implementation -- 5 Conclusion -- References -- SoundEx Algorithm Revisited for Indian Language -- 1 Introduction -- 2 Related Work -- 3 Phonetic Algorithms -- 4 Proposed Approach: Improved SoundEx Algorithm for Hindi Language -- 5 Result -- 6 Conclusion -- References. , Sentiment Analysis and Feature Extraction Using Rule-Based Model (RBM) -- 1 Introduction -- 1.1 Statement of the Problem -- 1.2 The Process of Sentiment Analysis and Classification -- 1.3 Factors that Affect Sentiment Analysis and Classification -- 2 Related Work -- 3 Results and Discussion -- 3.1 Datasets -- 3.2 Result -- 4 Conclusion -- References -- The Role of Big Data Predictive Analytics Acceptance and Radio Frequency Identification Acceptance in Supply Chain Performance -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Sample and Data Collection Procedure -- 3.2 Research Instrument -- 3.3 Measurement Model -- 4 Results -- 5 Conclusion and Discussion -- References -- Peering Through the Fog: An Inter-fog Communication Approach for Computing Environment -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Case Study -- 5 Simulation Results and Performance Comparison -- 6 Conclusion and Future Scope -- References -- Leaf Identification Using HOG, KNN, and Neural Networks -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 3.1 Image Preprocessing -- 3.2 Feature Extraction -- 3.3 Classification -- 4 Results -- 5 Conclusion and Future Work -- References -- Meta-heuristic Techniques to Solve Resource-Constrained Project Scheduling Problem -- 1 Introduction -- 2 Resource-Constrained Project Scheduling Problem -- 3 Literature Review -- 3.1 Heuristic Techniques for RCPSP -- 3.2 Swarm Intelligence Meta-heuristics to Solve RCPSP -- 3.3 Use of SI Meta-heuristics to Solve Optimization Problems in Other Domains -- 4 Research Challenges and Future Directions -- 5 Conclusion -- References -- A Novel Approach to Find the Saturation Point of n-Gram Encoding Method for Protein Sequence Classification Involving Data Mining -- 1 Introduction -- 2 Literature Review -- 3 Feature Extraction Using n-Gram Encoding Method. , 4 Problem Analysis and Experimental Result -- 5 Conclusion -- References -- A Comparative Evaluation of QoS-Based Network Selection Between TOPSIS and VIKOR -- 1 Introduction -- 1.1 TOSIS Network Selection Process -- 1.2 VIKOR Network Selection Process -- 2 Simulations and Result Analysis -- 3 Conclusion -- References -- Analysis and Implementation of the Bray-Curtis Distance-Based Similarity Measure for Retrieving Information from the Medical Repository -- 1 Introduction -- 2 Information Retrieval -- 2.1 Information Retrieval Tasks -- 2.2 IR Process -- 3 Similarity Measure -- 4 Bray-Curtis Distance-Based Similarity Measure -- 5 Experimental Results and Discussion -- 6 Conclusion -- References -- Information Retrieval on Green Mining Dataset Using Divergence from Randomness Models -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 3.1 Data Collection and Transformation -- 3.2 Tool Used: Terrier IR Tool v4.2 -- 3.3 Procedure -- 4 Results and Discussions -- 5 Conclusion -- References -- Handling Big Data Using MapReduce Over Hybrid Cloud -- 1 Introduction -- 2 Review of Literature -- 3 Implementation -- 4 Result and Discussion -- 5 Conclusion and Future Work -- References -- Statistical Survey of Data Mining Techniques: A Walk-Through Approach Using MongoDB -- 1 Introduction -- 2 Literature Survey -- 3 Simulation and Analysis -- 4 Conclusion and Future Work -- References -- Fuzzy Risk Assessment Information System for Coronary Heart Disease -- 1 Introduction -- 2 Material and Methodology -- 2.1 Key Rule for the Proposed Fuzzy Information System -- 3 Risk Factors for Risk Assessment Fuzzy Information System of Coronary Heart Disease (CHD) -- 4 Fuzzy Relations for Risk Assessment Information System of Coronary Heart Disease (CHD) -- 5 Result and Discussion -- 6 Conclusion -- References. , A Soft Computing-Based Approach to Group Relationship Analysis Using Weighted Arithmetic and Geometric Mean -- 1 Introduction -- 2 Related Work -- 3 Fuzzy Graphs -- 4 Proposed Work -- 5 Conclusion -- References -- Hand Gesture Recognition Using Convolutional Neural Network -- 1 Introduction -- 2 Proposed Method -- 2.1 Experimental Setup -- 2.2 Feature Extraction -- 2.3 Dataset Collection -- 2.4 Training the Neural Network -- 2.5 Testing the Application for Recognition -- 3 Observations -- 4 Results -- 5 Conclusion -- References -- Arrhenius Artificial Bee Colony Algorithm -- 1 Introduction -- 2 ABC Algorithm -- 2.1 Steps of ABC Algorithm -- 2.2 Recent Modifications in ABC Algorithm -- 3 Arrhenius ABC Algorithm -- 4 Experimental Settings and Result Analysis -- 4.1 Experimental Settings -- 4.2 Result Analysis -- 5 Conclusions -- References -- Analysis of Refactoring Effect on Software Quality of Object-Oriented Systems -- 1 Introduction -- 2 Related Work -- 3 Refactoring and Software Quality -- 3.1 Refactoring Techniques -- 3.2 Software Quality Attributes -- 4 Research Methodology -- 4.1 Dataset Collection -- 4.2 Experimental Design -- 5 Results and Discussions -- 5.1 Analysis of Impact of Refactoring Techniques on Internal Quality Attributes -- 5.2 Analysis of Impact of Refactoring Techniques on External Quality Attributes -- 6 Threats to Validity -- 7 Conclusions and Future Work -- References -- Rumor Detection Using Machine Learning Techniques on Social Media -- 1 Introduction -- 2 Rumor Detection on Social Media -- 2.1 Types of Rumors -- 3 Process of Rumor Detection -- 3.1 Data Collection -- 3.2 Preprocessing -- 3.3 Feature Extraction -- 3.4 Classification -- 4 Machine Learning-Based Techniques for Rumor Detection on Social Media -- 4.1 Issues and Challenges -- 5 Conclusion -- References. , Empirical Analysis of Supervised Machine Learning Techniques for Cyberbullying Detection -- 1 Introduction -- 2 Background Work -- 3 Proposed Approach -- 4 Evaluation and Results -- 5 Conclusion and Future Scope -- References -- Implementation of MapReduce Using Pig for Election Analysis -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Problem Statement -- 2.2 Objectives -- 2.3 Working -- 3 Algorithm -- 4 Results -- 5 Conclusion -- References -- Primary Healthcare Using Artificial Intelligence -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Motivation -- 3.2 Problem Statement -- 3.3 Objectives -- 3.4 Working -- 3.5 Algorithm -- 3.6 Comparative Study -- 4 Significance -- 5 Future Scope -- 6 Conclusion -- References -- A Brief Survey on Random Forest Ensembles in Classification Model -- 1 Introduction -- 2 An Overview of Random Forest Model -- 2.1 Visual Representation of Random Forest -- 2.2 Advantages of Random Forest Algorithm -- 2.3 Random Forest Applications -- 2.4 Limitations of Random Forest Model -- 3 A Brief Survey on Random Forest Ensembles -- 3.1 Discussion -- 3.2 List of Research Gaps Identified by the Survey on Random Forests -- 4 Conclusion -- References -- Big Data in Healthcare -- 1 Introduction -- 2 Related Work Done -- 3 Application of Big Data -- 3.1 Pathway Analysis -- 3.2 Transforming Data to Information, and Vice Versa -- 3.3 Supporting Providers, Improving Patient Care -- 3.4 Awareness -- 4 Big Data Initiatives Healthcare -- 5 Challenges Faced by Big Data in Healthcare -- 6 Future Prospects of Big Data -- 7 Conclusion -- References -- Speedroid: A Novel Automation Testing Tool for Mobile Apps -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 The Proposed Tool -- 4.1 Test Suite Editor -- 4.2 Test Journey Creator -- 4.3 Test Definition Generator -- 4.4 Test Executor -- 4.5 Configuration Panel. , 4.6 Reporting.