دسترسی نامحدود
برای کاربرانی که ثبت نام کرده اند
برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید
در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید
برای کاربرانی که ثبت نام کرده اند
درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش: نویسندگان: Sudhanshu Maurya (editor), Sateesh K. Peddoju (editor), Badlishah Ahmad (editor), Ines Chihi (editor) سری: ISBN (شابک) : 9811925372, 9789811925375 ناشر: Springer سال نشر: 2022 تعداد صفحات: 483 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 15 مگابایت
در صورت ایرانی بودن نویسنده امکان دانلود وجود ندارد و مبلغ عودت داده خواهد شد
در صورت تبدیل فایل کتاب Cyber Technologies and Emerging Sciences: ICCTES 2021 (Lecture Notes in Networks and Systems, 467) 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 فناوریهای سایبری و علوم نوظهور: ICCTES 2021 (یادداشتهای سخنرانی در شبکهها و سیستمها، 467) 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.
Preface Conference Organization Contents About the Author A Novel Meta-Classifier Framework Approach for Land Use Land Cover Classification 1 Introduction 2 Literature Review 3 Data Collection 4 Methodology 4.1 Support Vector Machine (SVM) 4.2 Tree 4.3 Neural Network (NN) 4.4 AdaBoost 4.5 Random Forest 4.6 K-Nearest Neighbors (KNN) 5 Proposed Approach 6 Result and Discussions 6.1 Experimental Scenario 1 ((Tree, KNN, SVM, NN, RF) + AdaBoost) 6.2 Experimental Scenario 2 ((Tree, AdaBoost, SVM, NN, RF) + KNN) 6.3 Experimental Scenario 3 ((Tree, AdaBoost, KNN, NN, RF) + SVM) 6.4 Experimental Scenario 4 ((Tree, AdaBoost, KNN, SVM, RF) + NN) 6.5 Experimental Scenario 5 ((Tree, AdaBoost, KNN, SVM, NN) + RF) 7 Conclusion References Survey of Surveillance of Suspicious Behavior from CCTV Video Recording 1 Introduction 2 Literature Survey 3 Comparative Analysis 4 Conclusion References Security Attacks, Requirements and Simulative Analysis of QoS in WSN 1 Introduction 1.1 Security Attacks 1.2 Security Requirements 2 Related Work 3 Methodology and Process 3.1 Principle Operations 3.2 Proposed Model 4 Simulation and Result 4.1 Throughput Evaluation 5 Conclusion References Breast Cancer Prediction Using Greedy Optimization and Enlarge C4.5 1 Introduction 1.1 Paper Organization 2 Review of Present Work 3 Proposed Methodology 3.1 Pre-processing 3.2 Data Reduction—Block Level Deduplication 3.3 Dimensionality Reduction—C-Isomap 3.4 Feature Selection 3.5 Greedy Optimization (GO) 3.6 Classification 3.7 Enlarge C4.5 (Ext-C4.5) Algorithm 4 Results and Discussion 4.1 Data Description 4.2 Performance Metrics 4.3 Experimental Results 4.4 Performance Analysis 5 Conclusion References Meta-Analysis of Nature Inspired Hybrid Cuckoo Algorithm 1 Introduction 2 Hybrid NICA 3 Application Areas of NICA 4 Global Research Pattern for NICA 5 Research Trend in Web of Science Database for Cuckoo Nature Inspired Technique 6 Prominent Researchers for NICA 7 Source-Wise Analysis of Cuckoo Related Articles 8 Analysis of Year-Wise Growth in Publication Data 9 Conclusion References Investigating Factors Influencing Retention in MOOCs 1 Introduction 2 Literature Review 2.1 MOOC Retention and Completion 2.2 Data Mining Approach in Massive Online Course 2.3 Structural Equation Modelling 3 Hypotheses Development 3.1 Content Localization 3.2 Credit Mobility 3.3 Impact of Latest Trend Course on E-learning 3.4 Behavioural Intention 3.5 Perceived Usefulness 4 Research Approach 4.1 Data Preparation and Survey Design 4.2 Sampling (Population and Sampling) 5 Data Analysis and Result 5.1 Assessment of the Measurement Model 5.2 Assessment of the LSI Model 5.3 Hypotheses Result 6 Analysis the Structure Model Using Classification Algorithms 7 Conclusion and Future Work Appendix (Survey Items) References Green Energy Powered by Smart Grids: A Business Model for Long Term Sustainability 1 Introduction 2 Smart Grid 3 Leveraging Cloud Computing for Smart Grid 4 Leveraging Fog Computing for Smart Grid 5 Proposed Work 6 JAYA Algorithm 7 Performance Evaluation 8 Conclusion References Cloud Based “Energy Aware” Routing Protocol for Predetection and Its Prevention of Fault Tolerance 1 Introduction 2 Literature Review 3 Survey of Kautz Graph Methodology 4 The Proposed Energy Model 5 The Methodology 6 Proposed Algorithm 7 Results and Discussion 8 Conclusion and Future Scope References Unmasking the Malware Using Android Debug Bridge 1 Introduction 2 Literature Review 3 Implementation 3.1 Steps of Implementation 4 Result 4.1 Comparative Analysis of Our Study with Pre-existing Tools 5 Conclusion References Blockchain and Competitive Business Performance 1 Introduction 2 Literature Review 3 Conceptual Framework 4 Research Methodology 5 Data Analysis 6 Discussion 7 Theoretical and Practical Implications 8 Conclusion 9 Limitations 10 Future Scope of Work References Cloud Network Communication Performance Improvement Using a Stochastic Bandwidth Allocation and Swarm Optimization Algorithm 1 Introduction 2 Literature Review 3 Implementation of the Proposed Method 3.1 Overload Detection Using Stochastic Approximation 3.2 VM Selection Using Correlation Policy 3.3 Memetic Hyper-heuristic Algorithm 4 Result and Discussion 4.1 Migration Time 4.2 Number of VM Migrations 4.3 Average SLA Violation Ratios 5 Conclusion References Comparison of Read Stability and Write Ability of Low Power Nanometric SRAMs 1 Introduction 2 Literature Survey 3 Stability of SRAMs 4 Results 5 Conclusion References Forecasting Mental Disorders Through Aspect Identification from Social Media Posts 1 Introduction 2 Related Works 3 Work Details 3.1 Data Gathering 3.2 Data Preprocessing 3.3 Training the Model 4 Computational Results 5 Conclusion References Topic Popularity Prediction Using Similarity Graph on Twitter 1 Introduction 2 Related Work 2.1 Data Collection 2.2 Advanced Trend Detection Approach 3 Challenges and Problem Statement 3.1 Twitter Specific Features 3.2 Retweets 3.3 Irrelevant Words, Slang and Abbreviations 4 Proposed Method 4.1 Initial Analyses 4.2 Combining Results from LDA 4.3 Similarity and Topic Popularity 5 Tools and Techniques 6 Data 6.1 Dataset Creation 6.2 Data Preprocessing 6.3 Data Storage 7 Experiments and Evaluation 8 Conclusion References Bolster Shark Smell Optimization Routing Protocol (BSSORP) for Routing in Underwater Wireless Sensor Networks 1 Introduction 1.1 Problem Statement and Objective 1.2 Organization of Paper 2 Literature Review 3 Bolster Shark Smell Optimization Routing Protocol 3.1 General Ideology of Shark Smell Optimization 3.2 Formulation of BSSORP 3.3 Initialization 3.4 Progress of Shark Towards Prey 3.5 Inertia on Acceleration 3.6 Location Identification 3.7 Searching 4 Simulation Settings 4.1 Simulation 4.2 Performance Metrics 5 Results and Discussions 5.1 Ends-To-End Delay Analysis 5.2 Energy Consumption Analysis 6 Conclusion References Intrusion Detection System Based on Feature Reduced Back Propagation Neural Network Using Ant Colony Optimization 1 Introduction 2 Related Work 3 Proposed BPNN Based IDS Using Feature Reduction 4 Performance Analysis 5 Conclusion References Machine Learning and Sensor Roles for Improving Livestock Farming Using Big Data 1 Introduction 2 Related Works 3 Proposed System 3.1 Animal Monitoring Tools 3.2 Big Data 3.3 Machine Learning Algorithm 4 Conclusion References Sentimental Analysis on E-learning Videos for Learner’s Opinion Using Machine Learning Methodology - Support Vector Machine 1 Introduction 2 Related Works 3 Proposed Method 3.1 Svm (Support Vector Machine) 3.2 K-Nearest Neighbour Algorithm 3.3 Random Forest 3.4 Experimentation 4 Conclusion References TLRNN: Two-Level RNN Based Personalized Recommendation in Tourism Domain 1 Introduction 2 Related Work 3 TLRNN: Two-Level Recurrent Neural Network 3.1 Recurrent Neural Network 3.2 System Architecture 4 Experimental Evaluation 5 Results and Discussion 6 Conclusion References RTHMs—Real Time Health Monitoring System 1 Introduction 2 Role of IOT 3 Different Wireless Architecture 4 Key Stage 5 Components 6 Conclusion References Deployment of Cellular Application Using Flutter for Covid-19 Visualization 1 Introduction 2 Related Work 3 Proposed Methodology 4 Results and Discussion 5 Conclusion References Enhancing Agricultural System and Agro Food Transportation Management Using IoT 1 Introduction 2 Evaluating the Device 3 Application Designed 4 Process of Agricultural Food Processing 5 Effective Farming Features 6 Development of Devices 6.1 IOT-Based Agriculture System 6.2 System for Integrated Entire Board 6.3 Server for IoT 7 Agro Food Design of Logistics IoT-Based 8 Conclusion References Dynamic and Unified Approach to Distinguish Malicious URL Using LSTM 1 Introduction 2 Challenges in Data Loading 2.1 Parameters 2.2 Layers 2.3 Activation Functions 2.4 Loss Functions 2.5 Optimization Algorithms 3 Proposed System 4 Results and Discussion 5 Conclusion References Deep Learning for Performance Enhancement Robust Underwater Acoustic Communication Network 1 History 2 Introduction 3 Acoustic Communication Device 4 Module with UWSNs 5 Microcontroller Module 6 Proposed Work and Results 7 Conclusion References Modeling and Control of FOPDT Modeled Processes—A Review 1 Introduction 2 Literature Review 3 Conclusion References Early Detection of Autistic Children Using Wrapper-Based Feature Selection Technique 1 Introduction 2 Related Works 3 Data Collection 4 Research Methodological 4.1 Feature Selection Using Wrapper Techniques 5 Experimental Result 6 Conclusion References Medical Insurance Cost Prediction Using Machine Learning Algorithms 1 Introduction 2 Importance of Machine Learning and Prediction 3 Bibliographic Analysis of Research Trend in Medical Insurance Cost Papers from Prediction Using Machine Learning Algorithms 4 Literature Review 5 Future Scope 6 Conclusion References Scope and Challenges of Artificial Intelligence in Health Care of India 1 Introduction 2 Artificial Intelligence in India 3 Healthcare in India with AI 3.1 Challenges in India 4 Related Work of Healthcare in Different Countries 5 Challenges for Adapting AI in India 5.1 Challenges in Healthcare Sector to Adapt AI in India 6 Interventions and Recommendations 7 Conclusion and Future Scope References Fs-Set Functions-Images 1 Introduction 2 Fs-Set 2.1 Fs-Subset 2.2 Remark 2.3 Type-II Void Set 2.4 The Operations Fs-Union () 2.5 The Operations Fs-Intersection ( cap) 2.6 Complete Boolean Algebra (CBA) 2.7 Complete Boolean Algebra Homomorphism (CBAH) 2.8 Fs-Complement of an Fs-Subset 3 Fs-Set Function 3.1 Remark 3.2 Proposition 3.3 Definition of an Increasing Fs-Set Function 3.4 Proposition 3.5 Proposition 3.6 Definition of a Decreasing Fs-Set Function 3.7 Decreasing Fs-Set Function—A Property 3.8 Preserving Fs-Set Function 3.9 A Preserving Fs-Set Function—A Property 3.10 An Increasing Fs-Set Function, A Decreasing Fs-Set Function and a Preserving Fs-Set Function-Examples 3.11 Composition 3.12 Fs-Set functions—Properties of Composition 3.13 An Observation 4 Images of fs-subsets 4.1 Remark 4.2 Image-Properties 4.3 Proposition 4.4 Fs-Set Function—Inclusion Property 4.5 Image of a Type I Void Set 4.6 Proposition References Offline Handwritten Signature Verification Using Decision Tree 1 Introduction 2 Literature Review 3 Research Methodology 3.1 Signature Database 3.2 Preprocessing and Feature Extraction 3.3 Creation of DFV Set 3.4 Classifier System’s Training and Testing 4 Experimental Results 5 Conclusion References IoT in Healthcare in Times of Pandemic (COVID-19) 1 Introduction 1.1 Understanding the Spread of Deadly Virus 2 Related Literature 3 Challenges for IoT in Healthcare 4 Suggestions and Future Directions 5 Conclusion References An Novel Approaches for High Security in Finger Vein Based Authentication System in Military Forces 1 Introduction 1.1 Traditional Biometric Security System 2 Proposed Methodology 2.1 Local Binary Pattern 2.2 Finger Vein System 2.3 Image Acquisition 2.4 Image Segmentation and Alignment 2.5 Image Enhancement 2.6 Feature Extraction 3 Finger vien hardware integration 3.1 Discovery of Finger Infrared Image 4 Expermental results 4.1 Performance Evaluation 5 Conclusion References Bow Type Active Frequency Selective Surface for Satellite Communication 1 Introduction 2 Design and Analysis 3 Conclusion References Productive Study Routine Generator 1 Introduction 2 Methodology 3 Results 4 Output 5 Analysis 6 Conclusion References Semantic Web Undertaking Effort Estimation Utilizing COCOMO II, SVM and NN 1 Introduction 1.1 The COCOMO Model 1.2 Estimacs 1.3 SEER-SEM 2 Problem Statement 3 Proposed Methodology 4 Cocomo-II 4.1 Dataset Description 4.2 Load and Extraction of Dataset 4.3 Identification of Actual Effort and Apply COCOMO II 5 Results and Simulation 6 Conclusion References Design and Method of 16.24 GHz Microstrip Network Antenna Using Underwater Wireless Communication Algorithm 1 Introduction 2 Literature Survey 3 Antenna Design 3.1 Detailed Description of the Design 3.2 Antenna Design: N × 1 Rectangular Microstrip Array with Corporate Feeding 4 Methodology of Antenna Design 4.1 Antenna Design Algorithm 4.2 Fabrication Process 5 Underwater Communication Algorithm 6 Results and Analysis 7 Conclusion References IoT Security Using Machine Learning Techniques 1 Introduction 2 IoT Security 3 Proposed Methodology 4 Result Analysis 5 Conclusion References Performance Analysis of Sign Language Recognition System Using Hybrid Feature Descriptor 1 Introduction 2 Methodology 2.1 Identification of Benchmark Dataset 2.2 Minimization of Noise and Removal of Ghost Artifacts 2.3 Classification Stage 3 Results and Discussion 4 Conclusion References Research Trends and Applications of Artificial Intelligence in 3D Printing-A Scientometric Analysis 1 Introduction 2 Annual Publication Trends 3 Top Source Titles 4 Keywords Analysis 4.1 Co-Authorship Analysis 5 Conclusions References Bibliometric Study and Visualisation of Research Trends in Hybrid Blockchain Technology 1 Introduction 2 Research Methodology 3 Discussion 4 Conclusions References Detection of Unauthorized Access Points Based on Machine Learning Techniques 1 Introduction 2 Machine Learning Based Techniques for Classification 2.1 Naive Bayes 2.2 Support Vector Machine 2.3 K-Nearest Neighbor (kNN) 2.4 Random Forest 2.5 Bagging Classifier 2.6 AdaBoost 2.7 Gradient Boost 3 Data Set Description 4 Results 5 Conclusion References GAIT Recognition Technique Using Gait Energy Decomposition Method 1 Related Work 1.1 Motivation 2 Proposed Work 2.1 Identification of Walking Pattern 2.2 User Recognition 3 Experimental Results 4 Conclusion References Survey of Comparative Analysis of Different Routing Protocols in MANETs: QoS 1 Introduction 2 Characteristics of MANETs 2.1 Dynamic Network Topologies 2.2 Low Bandwidth 3 MANET Routing Protocols 4 Comparison of QOS Routing Protocols 5 Conclusion References Comparative Analysis of Energy Efficiency of Logic Gates on FPGAs 1 Introduction 2 Literature Review 3 Schematic Design of Logic Gates 3.1 AND Gate Schematic Design 3.2 OR Gate Schematic Design 3.3 NOT Gate Schematic Design 3.4 NAND Gate Schematic Design 3.5 NOR Gate Schematic Design 3.6 XOR Gate Schematic Design 3.7 XNOR Gate Schematic Design 4 Experiments and Result Analysis 4.1 Analysis of Power Consumption of Logic Gates on Different FPGA 4.2 Power Consumption of AND, OR, NAND and NOR Gate on Implementation with Different FPGA 4.3 Power Consumption of XOR, and XNOR Gate on Implementation with Different FPGA 4.4 Power Consumption of NOT Gate on Implementation with Different FPGA 4.5 Analysis of Different FPGA on Different Logic Gates 5 Conclusion and Future Scope References To Combat the Menace of Forest Fires at Nainital and Almora District in Uttarakhand Using Internet of Things 1 Introduction 2 Methodology 3 Hardware Requirement 4 Proposed IoT Based Forest Fire Detection Model 5 Conclusion References Frequency Control Using Captive Generation and Demand Response 1 Introduction 2 Problem Statement 2.1 State-Space Dynamic Model for LFC-DR 2.2 Steady-State Error Evaluation with DR Only 2.3 DR and CG Available 3 Results and Discussion 3.1 Single-Area Power System 3.2 Two Area System 4 Conclusion References Load Frequency Control in Multiarea Power System Using TID Control Scheme 1 Introduction 2 Test System 3 Control Schemes 3.1 Fuzzy-PID Control Scheme 3.2 PID and TID Control Schemes 3.3 Model Predictive Control (MPC) Scheme 4 Results and Discussion 4.1 Step Load Disturbance in All Areas of Four Area System 4.2 Step Load Disturbance in All Areas of Six Areas System 5 Conclusion Appendix References Implementing Internet of Things Driven Water Tank Controlling 1 Introduction 2 IOT Driven Water Tank Controlling System 2.1 IOT Driven WTCS 3 Result 4 Conclusion & Future Scope References Utilizing Technology and Management of Fog Computing 1 Introduction 2 Related Work 2.1 Existing Research 3 Future Prospects 4 Conclusion References Author Index