Soft Computing and Signal Processing: Proceedings of 3rd ICSCSP 2020, Volume 2: 1340 (Advances in Intelligent Systems and Computing, 1340)

Description

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues. Conference Committee Preface Contents About the Editors Artificial Intelligence with New Approach of Concrete Ingredients Changing in the Exact Proportions 1 Introduction 2 Literature Review 3 Materials Used 3.1 Admixture 3.2 Cement 3.3 Fine Aggregate 3.4 Course Aggregate 3.5 Water 3.6 Super Plasticizer 4 Methodology 4.1 Reading for Specimens 4.2 Calculation 5 Experimental Result 6 Conclusion References A New Approach in Cloud Environment to Improve Data Security Using Multiple Bits 1 Introduction 2 Literature Review 3 Proposed Technique 3.1 Algorithm for Embedding of Message 3.2 Algorithm for Repossession of Message 4 Experimental Results and Analysis 5 Conclusion and Future Scope References Clustering Text: A Comparison Between Available Text Vectorization Techniques 1 Introduction 2 Previous Literature 3 Dataset 3.1 Collection 3.2 Filtering 3.3 Pre Processing 4 Methodology 4.1 TFIDF 4.2 Doc2Vec 4.3 Clustering Techniques 4.4 Performance Evaluation 5 Results 6 Conclusion References Evaluating Deep Neural Network Ensembles by Majority Voting Cum Meta-Learning Scheme 1 Introduction 2 Combining the Results of Independent Learners 3 Proposed Ensemble Approach 4 Results 5 Conclusion References Virtual Mouse Control Using Finger Action 1 Introduction 2 Existing System 3 Proposed System 4 Proposed Algorithm 4.1 Actions Performed Using Speech Recognition 4.2 Task Performed Using Speech Reorganization 5 Implementation 6 Conclusion References A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning 1 Introduction 2 Related Work 3 Proposed Hybrid Model 3.1 Methodology 3.2 Feature Extraction and Normalization 4 Results 5 Conclusion References Neural Abstractive Text Summarizer for Telugu Language 1 Introduction 2 Related Work 3 Approach 3.1 Recurrent Neural Network Encoder–Decoder 4 Training 5 Evaluation 6 Conclusions References OCR-Based Assistive System for Blind People 1 Introduction 2 Literature Survey 3 Proposed System 4 Workflow 5 Hardware Components 6 Software Used 7 OCR 8 Tesseract 9 Text to Speech (TTS) 10 Results 11 Billing Description and Output 12 Conclusion References Modern Privacy Risks and Protection Strategies in Data Analytics 1 Introduction 1.1 Privacy and Privacy Threats 2 Privacy Preservation Methods References An Approach Toward Deep Learning-Based Facial Expression Recognition in Wavelet Domain 1 Introduction 2 Related Works 3 The Proposed Framework 3.1 Face Processing 3.2 Feature Representation Using DWT 3.3 Expression Recognition Using CNN 4 Experimental Results and Discussions 5 Conclusions References Modified UNet Architecture with Less Number of Learnable Parameters for Nuclei Segmentation 1 Introduction 2 Methodology 2.1 UNet 2.2 Segnet 3 Experiments and Results 3.1 Dataset Description 3.2 Results and Discussions 4 Conclusion References Classification of Diseases Using CBC 1 Introduction 2 Review of Literature 3 Implementation 3.1 Data Pre-Processing 3.2 Model Training 3.3 Evaluation of Model 3.4 Machine Learning Algorithms 3.5 Analysis of the Model 4 Experimental Results and Performance Analysis 5 Conclusion and Future Scope References Post-earthquake Building Damage Detection Using Deep Learning 1 Introduction 2 Literature Survey 3 Proposed System 3.1 Preprocessing 3.2 Network Architecture 3.3 Jaccard Index 3.4 Dice Coefficient 4 Experiments and Setup 4.1 Dataset 4.2 Setup 4.3 Parameters 4.4 Analysis 5 Conclusion References Ensemble of Deep Transfer Learning Models for Parkinson's Disease Classification 1 Introduction 2 Methodology 2.1 Architectural Performance 2.2 Ensemble Method 2.3 Dataset 3 Results and Discussion 3.1 Experimental Results from Commonly Used Deep Learning Architectures 3.2 Experimental Results from the Proposed Ensemble Model 4 Conclusion References Energy-Efficient Clustering in Real-World Wireless Sensor Networks: Implementation 1 Introduction 2 Literature Survey 3 Clustering in Real-World WSNs 4 Energy Efficient Clustering: Optimal Cluster Head Selection 5 Hopcount Matrix: Properties 6 Implementation, Results and Discussions 7 Conclusions References Customer Feedback Through Facial Expression Recognition System Using Neural Network 1 Introduction 2 Literature Survey 3 Methodology 3.1 Image Data Collection 3.2 Data Preprocessing 3.3 Model Selection and Training 4 Models for Facial Expression Recognition 4.1 CNN 4.2 VGG16 4.3 VGG19 5 Transfer Learning 6 Result and Analysis 6.1 Final Results on Real-Time Faces 7 Conclusion References Taxi Demand Prediction Using LSTM and Optimized Taxi Geo-distribution 1 Introduction 2 Related Work 3 Implementation of Location and Time-Based Taxi Demand Prediction 3.1 Data Preparation 3.2 Time Binning 3.3 Feeding the Input to the LSTM Model 3.4 Training the Model 3.5 Testing the Model 4 Proposed Rank-Based Optimized Algorithm for Driver Mapping 4.1 Driver-Demand Check 4.2 Construction of Rank Table 4.3 Driver Mapping Using Rank Table 4.4 Mapping Optimization 5 Results 6 Conclusion References Container ID Detection and Recognition 1 Introduction 2 Related Works 3 Technical Details 3.1 Architecture of the System 3.2 Data Collection 3.3 Data Preprocessing 4 Detection Module 4.1 Container Detection 4.2 Text Detection 4.3 Character Detection 5 Classification Module 6 Experimental Results 7 Performance Analysis 8 Summary References Autonomous Flying Using Deep Reinforcement Learning 1 Introduction 2 Literature Survey 3 Experimental Setup 3.1 Virtual Environment 3.2 Quadcopter 3.3 Deep Deterministic Policy Gradient 4 Workflow 5 Results and Conclusion References Detecting Surface Cracks on Buildings Using Computer Vision: An Experimental Comparison of Digital Image Processing and Deep Learning 1 Introduction 2 Related Work 3 Methodology 3.1 Data Acquisition 3.2 Building the Classifier 3.3 Evaluation 3.4 Interpretation 4 Experimental Results 4.1 The DIP-Based Approach Performance 4.2 The Deep Learning-Based Approach 4.3 Performance on Dataset 4 5 Conclusion 6 Future Scope of Work 7 Declaration References A Survey on Preserving Data Confidentiality in Cloud Computing Using Different Schemes 1 Introduction 2 Literature Survey 3 The Objective of the Study 4 Results and Comparisons 5 Conclusion References Deep Learning-Based Approach for Human Activity Recognition 1 Introduction 2 Literature Survey 3 Problem Definition 4 Proposed System 4.1 Mathematical Foundation 4.2 Proposed Model 5 Performance Analysis and Result 6 Conclusion and Future Scope References Vuln-Check: A Static Analyzer Framework for Security Parameters in Web 1 Introduction 2 Literature Survey 3 Proposed Work 3.1 Recon Phase 3.2 Scanning 3.3 Enumeration 3.4 Static Analyzer Phase 3.5 Reporting 4 Experimental Setup and Results 5 Comparative Analysis 6 Conclusion References Concept Drift Detection Using Minimum Prediction Deviation 1 Introduction 2 Related Work 3 Minimum Prediction Deviation 3.1 Bootstrapping Samples 3.2 Uncertainty 3.3 Minimum Prediction Deviation Score 4 Methodology 5 Experiments 5.1 Datasets 5.2 Experimental Setup 6 Results and Discussion 7 Conclusion and Future Work References An Interactive System for Assessing Emotional Wellness 1 Introduction 2 Related Works 3 Architecture Overview 4 Implementation 4.1 Anxiety Test Questionnaire 4.2 Fuzzification 4.3 Rule base 4.4 Rule Evaluation and Aggregation 4.5 Defuzzification 5 Results 6 Conclusion and Future Scope References Performance Analysis of Genetic Algorithm for Function Optimization in Multicore Platform Using DEAP 1 Introduction 2 Literature Survey 3 Genetic Algorithm for Function Optimization Using Multicore Platform 3.1 Multicore Platform 3.2 Distributed Evolutionary Algorithms in Python (DEAP) 3.3 Genetic Algorithm for Function Optimization Using Multicore Platform 3.4 Benchmark Functions and Parameter Settings 4 Experimental Analysis 4.1 Experimental Setup and Parameter Setting 4.2 Performance Analysis of Genetic Algorithm for Function Optimization in Single and Multicore Platforms for Function with Fixed Variables 4.3 Performance Analysis of Genetic Algorithm for Function Optimization in Single and Multicore Platforms for Function with Variable Dimensions 5 Conclusion References Various Image Modalities Used in Computer-Aided Diagnosis System for Detection of Breast Cancer Using Machine Learning Techniques: A Systematic Review 1 Introduction 2 Methodology 2.1 Data Extraction 3 Results 3.1 Imaging Modalities 3.2 Machine Learning Techniques 4 Discussion 5 Conclusion References Multi-scale Convolutional Neural Network for Automatic Identification of Glaucoma in Fundus Image 1 Introduction 2 Clinical Diagnosis of Glaucoma 2.1 Literature Review 3 Deep Learning Framework 3.1 Multi-Scale Convolutional Neural Network (CNN) 3.2 Methodology 3.3 Training and Testing 4 Experimental Evaluation 4.1 Dataset 4.2 Experimental Results 5 Discussion 6 Conclusion References A Convolutional Neural Network Approach for Detecting Malignancy of Ovarian Cancer 1 Introduction 2 Related Work 3 Methodology 3.1 Dataset 3.2 Feature Extraction Using DenseNet-201 3.3 Classification 4 Experimental Results 5 Results 6 Discussion 7 Conclusion References Secured Intelligent Cooperative Communication in Vehicular Networks—A Comprehensive Review 1 Introduction 2 Literature Survey 3 Conclusion References Agile-LSTM: Acclimatizing Convolution Neural Network for Crowd Behaviour Analysis 1 Introduction 2 Literature Survey 3 Crowd Dataset 4 Proposed Architecture: Agile-LSTM CNN 5 Experiment Results 5.1 Implementation Details 5.2 Experiment Results of Agile-LSTM 5.3 Evaluations of Proposed Frame on UMN Dataset 6 Conclusion References Software Defined Radio-Based GPS Spoofing Attack Model on Road Navigation System 1 Introduction 2 Background 2.1 GPS System 2.2 GPS Vulnerability 2.3 GPS Spoofer 3 Problem Formulation 3.1 Attack Model 3.2 Overview of Attack 4 Result and Analysis 5 Conclusion References Brain Tumor Image Classification with CNN Perception Model 1 Introduction 2 Proposed Methodology 2.1 Preprocessing 2.2 Segmentation 2.3 Feature Extraction 3 Deep Neural Networks 3.1 Convolutional Neural Network 4 Explanation of Results 5 Conclusions References A Novel Approach to Detect Anomalies in Business Process Event Logs Using Deep Learning Algorithm 1 Introduction 2 Literature Survey 3 Deep Learning Model for Anomaly Detection 3.1 Methodology 3.2 Deep Learning Encoder-Based Anomaly Detection 4 Experimental Results 4.1 Results 4.2 Performance Evaluation 5 Conclusion and Future Work References Grading of Variety of Bi and Mono-Colored ApplesT 1 Introduction 2 Related Work 2.1 Proposed Approach 3 Results 4 Conclusion Reference IoT Based Smart Air Pollution Monitoring System 1 Introduction 2 Related Works 3 Proposed Smart Air Pollution Monitoring System 4 Implementation of Smart Air Pollution Monitoring System 5 Results and Discussions 6 Conclusion References Image Denoising Using an Artificial Neural Network and Genetic Optimization Algorithm Based Dual-Tree Complex Wavelet Transform 1 Introduction 2 Methodology 2.1 Mathematical Model of DT-CWT 2.2 Artificial Neural Network 2.3 Genetic-Algorithm (GA) 3 Proposed Method 4 Results 5 Conclusion References Analysis of Blood Cancer Using Microscopic Image Processing 1 Introduction 2 Materials and Methods 2.1 Dataset 2.2 Existing Methods 2.3 Proposed Method 3 Feature Extraction 4 Classification 5 Simulated Results 6 Conclusions References Stained Scripts Image Segmentation Using Clustering Methods 1 Introduction 1.1 Application of Neural Network-Based Segmentation 2 Relevant Works 3 Proposed Algorithm 4 Conclusion References Naturalistic Driving Simulation Using Automation 1 Introduction 2 Literature Survey 3 Methodology 4 Results 5 Conclusion References Performance Evaluation of Texture Fusion for Dementia Disease 1 Introduction 2 Materials and Methods 2.1 Open-Access Series of Imaging Studies (OASIS) 2.2 Fuzzy C-Means Clustering (FCM) 2.3 Gray-Level Co-occurrence Matrix (GLCM) 2.4 Wavelet Packet Tree (WPT) 2.5 First Order Histogram 2.6 Fusion of Features 2.7 Classifiers 3 Results and Discussion 4 Conclusion References Kinetic Gas Molecule Optimization (KGMO)-Based Speckle Noise Reduction in Ultrasound Images 1 Introduction 2 Literature Survey 3 Proposed System 3.1 Normalization 3.2 Noise Estimation 3.3 Kinetic Gas Molecular Optimization (KGMO) 3.4 Bayesian Estimation 4 Result and Discussion 4.1 Performance Evaluation Metrics 4.2 Performance of the De-noising Algorithm 5 Conclusion References Optimization of Relay-Based Network Throughput for NB-CR-IoT Networks 1 Introduction 2 System Model 2.1 Autonomous Sensing 2.2 Time Utility of Autonomous Sensing Without Using Relay 2.3 Proposed Time Utility of Autonomous Sensing Using Relay 2.4 Throughput Optimization of Random Access CR-IOT Network Using Relay 2.5 With Autonomous Sensing Technique the Maximum Throughput Can Be Achieved in CR Network 3 Simulations 4 Conclusion References Automatic Segmentation Techniques for Brain Cancer Detection from MR Images 1 Introduction 2 Need of Automatic Segmentation Methods 3 Facts and Findings in Segmentation Methods for MR Images 3.1 Fully Convolutional Neural Networks (FC-NN's) and Conditional Random Fields (CRF's) Method 3.2 Stationary Wavelet Transform (SWT) Combined with Growing Convolution Neural Network (GCNN) 3.3 Small Kernels Two-Path Convolutional Neural Network (SK-TPCNN) and Random Forests (RF) 3.4 Hybrid Deep Auto-Encoder with Bayesian Fuzzy Clustering (BFC)-Based Segmentation 3.5 Deep Convolution Systematic Neural Network (DCNN) 3.6 Deep Wavelet Auto-Encoder-Based Deep Neural Network Method 3.7 Hybrid Convolutional Neural Network 3.8 Kernel-Based CNN with Multi-class Support Machine (M-SVM) 4 Conclusion References Secrecy Capacity Analysis of Cooperative Vehicular Amplify-and-Forward Relay Networks 1 Introduction 2 System and Channel Models 3 Ergodic Secrecy Capacity (ESC) 4 Numerical Results and Discussions 5 Conclusion References Meandered Quad Band Antenna in Rectangular Slot for L/S/C/X-Band Applications 1 Introduction 2 Evolution of Antenna Geometry and Design 3 Result and Discussion 4 Conclusions References QUEST: Quantum Computing-Based Reversible Hybrid Encoder/Decoder for Error Resilient Transmission 1 Introduction 2 Literature Survey 3 State of Art—QUEST 4 Simulation Results 5 Error Resilient Design—Hamming Coder 5.1 Hamming Encoder Circuit 5.2 Hamming Decoder Circuit 6 Conclusion References The Design Evolution and Assessment of Syringe Infusion Pump Using Breakdown Statistics 1 Introduction 2 Evolution of Infusion Devices 3 Modern Syringe Infusion Device 3.1 Syringe Infusion Device Operating Mechanism 4 Methodology 4.1 Pareto Diagram 4.2 Breakdown Data Procurement 5 Results and Discussion 5.1 Breakdown Analysis of the Syringe Infusion Pump 5.2 Breakdown Analysis of Syringe Infusion Pump Accessories 5.3 Breakdown Analysis of Syringe Infusion Pump that Can Be Manageable at the User Level 6 Conclusion References Energy-Efficient Clustering in WSN Using Weighted Centroid 1 Introduction 2 Literature Review 3 General Derivation 4 Algorithm and Flowchart 5 Simulation and Results 6 Conclusion 7 Future Works Reference Smart Fingerprint Authentication Using Amazon Web Services 1 Introduction 1.1 Impact of Fingerprint Authentication on Cloud Computing 1.2 Related Work 2 Fingerprint Biometric Sensor System 2.1 Basic C Language Embedded Systems Fingerprint Sensor 3 Data Interfacing With Cloud 4 Conclusion References Reliable Transmission of EMG Signal in Telemedicine for Myopathy Patients 1 Introduction 2 Related Work 3 Myopathy 4 System Model 4.1 EMG Processing 4.2 Turbo Encoder 4.3 Turbo Decoder 5 16 Quadrature Amplitude Modulation (QAM) 6 Results and Discussion 7 Conclusion References Convolutional Neural Network-Based Image Segmentation Techniques 1 Introduction 2 Related Work 3 Architecture of SegNet 4 Comparative Analysis 5 Conclusion and Future Work References Design and Evaluation of Efficient Decimal Multiplier Architectures 1 Introduction 2 Existing Work 2.1 Decimal Multiplication Using Binary Multipliers 2.2 Decimal Multiplication Using Binary-to-BCD Converters 2.3 Existing Multi-operand Binary to Decimal (MBD) Converters at Partial Product Reduction Stage 3 Proposed Decimal Multiplier 3.1 Implementation of 16 * 16 Decimal Multiplication 4 Synthesis Results of Proposed Decimal Multipliers 5 Conclusions References An Efficient Interface Selection Scheme (DSRC/LTE) of Vehicles for Data Dissemination Enabling V2V Communication to Support Internet of Vehicles (IoV) 1 Introduction 2 Existing Works 3 Proposed Protocol 4 Performance Evaluation 5 Conclusion References Tongue Diagnosis Using Image Processing 1 Introduction 2 Literature Review 3 Methodology 3.1 Pre-processing 3.2 Feature Extraction 4 Gabor Filter for Texture Extraction 5 Energy Values 6 Color Histogram for Color Analysis 7 Geometrical Features of Tongue 8 Experimental Results 8.1 Results for Energy Value Method 8.2 Results for Color Histogram Method 8.3 Results for Geometrical Features Method 8.4 Results of All Methods Combined 9 Conclusion and Future Scope References Effect of Metamaterial on Patch Antenna Performance 1 Introduction 1.1 Antenna Design 1.2 Theoretical Explanation 1.3 Results 1.4 Unit Cell Analysis 2 Conclusion References Mobile Application-Based Virtual Assistant Using Deep Learning 1 Introduction 2 Related Works 3 Proposed System 4 Network Structure and Training 5 Experimental Results 6 Conclusion References Underwater Image Enhancement Algorithm Using Advanced Fusion 1 Introduction 2 Underwater White Balancing 2.1 Gray World Algorithm 2.2 Red Channel and Blue Channel Compensation 3 Multi-scale Fusion Process 3.1 Inputs of Fusion Process 3.2 Weights of Fusion Process 3.3 Naive Fusion Process 4 Multi-scale Fusion Process 4.1 Gaussian Pyramid 4.2 Laplacian Pyramid 4.3 Pyramid Reconstruct 5 Video Processing 6 Results 7 Conclusion References Testing of Neighborhood Pattern-Sensitive Faults for Memory 1 Introduction 2 Literature 3 Methodology to Test NPSF Model 4 Results and Discussions 4.1 Simulation Results for Hamiltonian Sequence 4.2 Simulation Results for Binary Series 4.3 Simulation Results for Gray Series 5 Conclusions and Future Scope References Leaf Disease Detection Using Image Processing Techniques and Offspring Generation Using Genetic Algorithm 1 Introduction 2 Literature Survey 3 Proposed Methodology 4 Result Analysis 5 Conclusions 6 Future Scope References Enhanced Static Secure Logic for Hardware Security 1 Introduction 2 Literature Review (Existing Secure Logic Styles) 3 Proposed Secure Logic—Enhanced Static Secure Logic (ESSL) 4 Results and Discussion 5 Conclusion References InvCos Curvature Patch Image Registration Technique for Accurate Segmentation of Autistic Brain Images 1 Introduction 2 Literature Survey 3 Proposed Work 3.1 Dataset 3.2 Feature Extraction 3.3 Inverse Cosine (InvCos) Curvature Patch Image Registration 3.4 Segmentation and Classification 4 Results and Discussion 5 Conclusion References A Survey on Performance Comparison of Video Coding Algorithms 1 Introduction 2 Video Compression Techniques 2.1 H.261 2.2 H.263 2.3 H.264 3 High-Efficiency Video Coding (HEVC)/H.265 4 Literature Survey 5 Problem Definition 6 Conclusion References Author Index