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ویرایش: نویسندگان: Varsha H. Patil (editor), Nilanjan Dey (editor), Parikshit N. Mahalle (editor), Mohd Shafi Pathan (editor), Vinod. V. Kimbahune (editor) سری: ISBN (شابک) : 981334072X, 9789813340725 ناشر: Springer سال نشر: 2021 تعداد صفحات: 509 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 19 مگابایت
در صورت تبدیل فایل کتاب Proceeding of First Doctoral Symposium on Natural Computing Research: DSNCR 2020 (Lecture Notes in Networks and Systems, 169) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب ادامه سمپوزیوم دکتری اول در تحقیقات محاسبات طبیعی: DSNCR 2020 (یادداشت های سخنرانی در شبکه ها و سیستم ها ، 169) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Organizing Committees Chief Partons Honorary Chairs Honorary Co-chairs General Chairs Organization Chairs Organization Co-chairs Publication Chairs Publicity Chairs Technical Program Committee Preface Contents Editors and Contributors Machine Learning Fake Review Detection System Through Analytics of Sales Data 1 Introduction 2 Literature Survey 3 Problem Solution 3.1 Data Collection and Pre-processing 3.2 Feature Extraction 3.3 Review Analysis 4 Evaluating Results 5 Conclusions References A Building Topical 2-Gram Model: Discovering and Visualizing the Topics Using Frequent Pattern Mining 1 Introduction 2 Proposed Work 3 Results 4 Conclusion References Transliteration of Residential Addresses Having Hindi, Urdu and English 1 Introduction 2 Literature Review 3 System Architecture 3.1 Moses 3.2 IRSTLM 3.3 GIZA++ 4 Methodology 5 Experimental Results and Analysis 6 Conclusion and Future Scope References Deep Classification of Sound: A Concise Review 1 Introduction 2 Sources of Sound 2.1 Inaudible Sound 2.2 Audible Sound 3 Traditional Sound Classification Techniques 3.1 Machine Learning Approaches 4 Deep Learning-Based Sound Classification Techniques 4.1 Convolutional Neural Networks (CNN) 4.2 Other Deep Neural Network Approaches 5 Discussion 6 Conclusion References Word Sense Disambiguation for Marathi Language Using WordNet and the Lesk Approach 1 Introduction 2 Related Work WSD for Marathi 2.1 Marathi WordNet 3 Proposed System 3.1 Lesk Approach [12] 3.2 Lesk Algorithm with Changes 3.3 Dataset 4 Results and Discussion 5 Conclusion and Future Work References Particle Swarm Optimization-Based Resource Allocation in Service Composition 1 Introduction 2 Related Work 3 Problem Formulation 3.1 0/1 Multidimensional Knapsack Problem 4 Proposed Resource Allocation Algorithm 4.1 Modeling of Particle as Solution 4.2 Dynamic Programming (DP) Algorithm for Web Service Resource Allocation 5 Results and Discussion 6 Conclusions References Text Categorization of Marathi News Articles Using Machine Learning 1 Introduction 2 Overview of Related Work 3 Proposed System for News Categorization 3.1 Proposed System 3.2 Web Crawling 3.3 Preprocessing 3.4 Feature Extraction 3.5 K-NN 4 Analysis 5 Conclusion and Future Scope References Effect of Distance Metrics on Multi-label Classification 1 Introduction 2 Related Work 3 Proposed Algorithm MLFLD-MAXP 4 Experimentation and Observations 4.1 Multi-Label Datasets 4.2 Experimental Work and Discussions 4.3 Effect of Distance Metrics on Performance of Multi-label Classifier 5 Conclusion References Review Paper on Sentimental Analysis for Recommendation System 1 Introduction 2 Problem Formulation 2.1 Literature Survey 3 Problem Solution 3.1 Sentiment Classification Method 3.2 Machine Learning Method 3.3 Lexicon-Based Method 4 Comparative Analysis 5 Conclusion References Text Recognition Using K-means Clustering and Support Vector Machine 1 Introduction 2 Literature Review 3 Scope of Work 4 Overall System Architecture and Implementation 5 Experimental Results and Discussion 6 Conclusion References An Adaptive Algorithm for Lexical Ambiguity in Word Sense Disambiguation 1 Introduction 2 Methodology 2.1 Training 2.2 Testing 2.3 Proposed Algorithms 2.4 Experimentation Details 3 Results 4 Conclusion References Intrusion Detection and Prevention Using Artificial Neural Network in Wireless Sensor Networks 1 Introduction 2 Literature Survey 3 Proposed Methodology 4 Results and Discussions 4.1 Background 4.2 Principle 4.3 Evaluation of ANN Classifier 4.4 Results 5 Conclusion References Effective UI Design to Explore Poetry Literature Using Multiple Scripts for Ordinary End Users 1 Introduction 2 HCI Perspective for UI Design 3 Literature Review of Present Web Portals 4 Scope of Work 5 Methodology—Case Study Part-I: Web Portal 6 Methodology—Case Study Part-II: Online Mobile Application 7 Methodology—Case Study Part-III: Offline Mobile Application 8 Outcome and Conclusion References The Products of Very Strongly Perfect Graphs and Its Applications in Machine Learning 1 Introduction 2 Main Results 3 Result and Discussion 4 Conclusion References Relation Between Perfect Colouring and Chromatic Number for Snake Graph Family 1 Introduction 2 Main Results 2.1 Perfect Colouring 3 Conclusion References Automation of Anomaly Detection in Warehouses: A Machine Learning-Based Approach 1 Introduction 2 State-of-the-Art 3 Proposed Anomaly Detection System 3.1 Preliminaries 3.2 Methodology 4 Results and Discussion 5 Conclusions References Acute-Lymphoblastic Leukemia Detection Through Deep Transfer Learning Approach of Neural Network 1 Introduction 2 Related Work 3 Methodology 3.1 Preprocessing 3.2 Feature Extraction 3.3 Training and Testing 4 Results and Discussion 5 Conclusions References Internet of Things Identifying the Most Feasible Technologies for mHealth Maternal Mortality Interventions in Sub-Saharan Africa 1 Introduction 2 Literature Review 3 Methodology 4 Results and Discussion 5 Conclusion References Computational Intelligence Techniques for Energy Management in Cloud Data Centers 1 Introduction 2 Energy Management in Cloud Datacenters 3 Proposed Method 4 Comparative Analysis of Various Techniques on Energy Management in Cloud Data Centers 5 Research Motivation 6 Conclusion References Trust Computation Model for IoT Devices Using Machine Learning Techniques 1 Introduction 2 Literature Survey 3 Proposed System Design 3.1 Co-location Relationship (CLR) 3.2 Co-work Relationship (CWR) 3.3 Cooperativeness, Frequency and Duration (CFD) 3.4 Reward System (RS) 3.5 Mutuality and Centrality (MC) 3.6 Community of Interest (CoI) 4 Results and Discussions 5 Conclusions 6. References Approximate Localization of Non-cooperative Moving Target in Outdoor Deterministic Directional Passive Sensor Networks 1 Introduction 2 Problem Formulation 2.1 Dynamic Model of the Target 2.2 Sensing System 3 Non-Cooperative Target Localization Method 3.1 Approximate Estimation Method 4 Network Simulation Requirements 4.1 Proposed Algorithm 5 System Simulation 5.1 Analysis of System Simulation Results 6 Hardware Realization of the System 6.1 Hardware Results 7 Conclusions References Formal Proof of Node Level Trust Evaluation in Wireless Sensor Network 1 Introduction 1.1 Motivation 1.2 Outline 2 Related Work 3 Preliminaries 4 NLTE Algorithm 5 Formal Proof 5.1 Proof by Contraposition 5.2 Proof by Contradiction 5.3 Argumentative Proof 6 Conclusion References Present State of the Art on Secure Data Deduplication in Cloud 1 Introduction 2 Deduplication 3 Secure Data Dedupliction Methods 3.1 Secure Deduplication Based on Attribute-Based Storage 3.2 Randomized Tag for Data Deduplication 3.3 Secure Deduplication Versus Dynamic Ownership Management 3.4 ALG-Dedupe 3.5 Deduplication Based on ABE 3.6 Deduplication with Improved Reliability 3.7 Compression Sensing and Chaos-Based Approach 3.8 Compressive Sensing with Embedding Cryptographic Primitives 3.9 Hybrid Algorithm for Image Compression and Encryption 3.10 2D Compressive Sensing-Based Compression and Encryption 3.11 Hyper-Chaotic System and 2D Compressive Sensing 3.12 Block Compressed Sensing 3.13 Compressive Sensing-Based Encryption 3.14 Parallel Approach Based on Compressive Sensing 3.15 Compressive Sensing with Non-uniform Sampling 4 Performance Analysys 5 Research Issues 6 Conclusion and Future Work References Information Security Efficient Handling of Distributed Data Vending Through Blockchains 1 Introduction 2 Literature Survey 3 Proposed Methodology 4 Mathematical Modeling 5 Result and Discussion 6 Conclusion References Video Interpretation for Cost-Effective Remote Proctoring to Prevent Cheating 1 Introduction 2 Literature Survey 3 Proposed Method 3.1 Examinee Verification 3.2 Checking Candidate Presence 3.3 Multiple People Attempting the Exam 3.4 Prohibited Object Detection 3.5 Difficult Level of Cheating 4 Dataset Used 5 Experimental Result 5.1 Evaluation of Examine 5.2 Evaluation of Absence of Examine 6 Conclusion References Fundamentals, Present and Future Perspectives of Quality of Work Life 1 Introduction 2 Importance of QWL 3 Components of Quality of Work Life 4 Models of QWL 5 Methods to Improve QWL 6 Impact of QWL 6.1 Impact of AI in QWL 6.2 Impact of Big Data analytics in QWL 7 Conclusion References Forensic Analysis of E-mail for Authorship Attribution: Research Perspective 1 Introduction 2 Existing Methodology for Author Attribution 3 Related Work 4 Methodology 5 Conclusions References Review of Challenges for Short-Term Vehicular Traffic Forecasting 1 Introduction 2 Overview of Short-Term Traffic Parameter Forecasting 3 Challenges 3.1 Traffic Parameter Forecasting 3.2 Quality Data Collection and Integration Across Road Network 3.3 Spatio-Temporal Dependencies of Model Selection 3.4 System Characteristics 3.5 Integrating Artificial Intelligence (AI) Models in the Scheme 3.6 Route Choice 4 Conclusions References Critical and Comparative Analysis of DoS and Version Number Attack in Healthcare IoT System 1 Introduction 2 Related Work 3 Attack Experimentation 3.1 Performance of Reference Network After Version Number Attack 3.2 Performance of Reference Network After DoS Attack 4 Observations 5 Proposed Security Solution 6 Conclusion References Comparative Analysis of IoT Application Layer Protocols for Healthcare Data Transmission System 1 Introduction 2 Literature Survey 3 Result and Discussions 4 Conclusion References Crime Identification by Geofencing Enforcing Co-operative Platform 1 Introduction 2 Literature Survey 3 Functionality 4 Methods and Material 4.1 Client–Server Architecture 4.2 Server Operation 5 Results 5.1 Client Activity 5.2 Notification Alert 6 Security Analysis 6.1 Location Spoofing 6.2 HTTP Modification via Active Traffic Interceptions 6.3 Code De-Compilation and Modification 7 Conclusions References Computer Networking Security Enhancement in Route Once and Cross-Connect Many (ROACM) Protocol 1 Introduction 2 Literature Survey 2.1 Gap Analysis 3 Proposed Methodology 3.1 Architecture 3.2 Algorithms 4 Mathematical Modeling 5 Result and Discussion 6 Conclusion References Novel Approach for Task Scheduling of HPC Applications Using SDN 1 Introduction 2 Related Literature 2.1 HPC Challenges on Cloud 3 Proposed System 3.1 Task Generation 3.2 HPC Task Scheduler for SDN Enabled Network 4 Experimental Work 5 Conclusion and Future Scope References Performance Evaluation of Routing Protocols in Mobile Ad-Hoc Networks 1 Introduction 2 Performance Evaluation 2.1 Performance Metrics 3 Simulation Results 4 Conclusions References Analysis of Shallow Neural Network for the Lung Cancer Detection Using CT—Scan Images 1 Introduction 2 Review of Related Work 3 Database Used 4 Method 4.1 Data Processing 4.2 Feature Extraction 4.3 Backpropagation 5 Experimental Result 5.1 Genetic Algorithm with Backpropagation 6 Conclusion References The Comparative Analysis of Position-Aware and Optimized-Link State Protocols in Crossbreed Mesh Network 1 Introduction 2 Related Work 2.1 AODV: Ad-Hoc On-Demand Distance Vector Routing Protocol 2.2 DSR: Dynamic Routing Protocol 3 Several Attacks in WMNs 3.1 Wormhole Attack 3.2 Denial of Service (DoS) Attack 4 Proposed Algorithm Using Optimization Secured Optimized-Link State Routing: OSOLSR 5 Comparative Result Discussion 6 Conclusion and Future Scope References Optimization of Network Functions Using Static and Heuristic Approach in Software-Defined Network 1 Introduction 2 Previous Work 3 Implementation 4 Methods and Algorithms 5 Results 6 Application 7 Conclusion References NHAP-RZLEACH-Based Hybrid Framework to Enhance Network Lifetime in Wireless Sensor Networks 1 Introduction 2 Related Work 3 System Model 3.1 Selection of Rendezvous Node 3.2 Selection of RZ-Node-Based Algorithm 3.3 Selection of Cluster Head 3.4 Data Aggregation 3.5 Routing 4 Simulation 5 Results and Analysis 6 Conclusion and Future Scope References Traffic Zone Warning and Violation Detection Using Mobile Computing 1 Introduction 2 Literature Review 2.1 Gap Analysis 3 Proposed Methodology 4 Mathematical Modeling 5 Formula 6 Results and Discussion 7 Conclusion and Future Scope References Image Processing Embedded Model for Predicting Quality of Soil 1 Introduction 2 Problem Statement 3 Literature Survey 4 Proposed System 4.1 Temperature Sensor 4.2 Moisture Sensor 5 4 PH Sensor 6 Proposed Model Framework 7 Proposed Model Framework 8 Future Scope 9 Conclusion References Prediction of Chronic Kidney Disease Data Using Clustering Techniques—A Comparative Approach 1 Introduction 2 Research Methodology 3 Result and Discussion 3.1 A. Proposed Novel Clustering Module of Ckd Health Prediction 4 Conclusion References Real-Time Powdery Mildew Crop Disease Monitoring Using Risk Index Theory-Based Decision Support System 1 Introduction 2 Related Work 3 Proposed Methodology 4 Experimental Study 5 Results 6 Conclusion and Future Work References A Comprehensive Review on Machine Learning Approaches for Prediction of Gestational Diabetes Mellitus 1 Introduction 2 Materials and Methods 2.1 Role of ML and DM Techniques for GDM Prediction 2.2 Characteristics of a Data Set 2.3 Machine Learning Classifiers 2.4 Performance Analysis 2.5 Result 3 Result and Discussion 4 Conclusion References Content-Based Near-Duplicate Video Detection Using Density-Based Clustering: OR-DBSCAN 1 Introduction 2 Proposed NDVD System 2.1 System Overview 2.2 Module Wise Description 3 Result Analysis 3.1 Experimental Setting and Analysis 3.2 Testing 4 Conclusion References Haze Visibility Enhancement of Image Using Dark Channel Prior 1 Introduction 2 Perceivability Detection Principle of Dark Channel Prior Method 3 The Proposed Dark Channel Prior Algorithm 4 The Transmission Calculation 5 Experimental Results 6 Conclusion References Author Index