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ویرایش: نویسندگان: N. Subhashini, Morris. A. G. Ezra, Shien-Kuei Liaw سری: Lecture Notes in Electrical Engineering, 966 ISBN (شابک) : 9811983372, 9789811983375 ناشر: Springer سال نشر: 2023 تعداد صفحات: 588 [589] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 19 Mb
در صورت تبدیل فایل کتاب Futuristic Communication and Network Technologies: Select Proceedings of VICFCNT 2021, Volume 1 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 ارتباطات آینده نگر و فناوری های شبکه: مجموعه مقالات VICFCNT 2021، جلد 1 را انتخاب کنید 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.
این کتاب مجموعه مقالات منتخب کنفرانس بین المللی مجازی در زمینه ارتباطات آینده نگر و فناوری های شبکه (VICFCNT 2021) را ارائه می دهد. حوزه های مختلف در مهندسی ارتباطات و فناوری های شبکه را پوشش می دهد. این جلد شامل تحقیقات اخیر در زمینههایی مانند سیستمهای فیزیکی-سایبری، آکوستیک، پردازش سیگنال گفتار و ویدئو، و اینترنت اشیا است. این کتاب مجموعهای از دانشگاهیان، محققان و کارکنان صنعت در عرصه بینالمللی است. این کتاب برای محققان، متخصصان و مهندسین شاغل در حوزه های اصلی الکترونیک و ارتباطات مفید خواهد بود.
This book presents select proceedings of the Virtual International Conference on Futuristic Communication and Network Technologies (VICFCNT 2021). It covers various domains in communication engineering and networking technologies. This volume comprises recent research in areas like cyber-physical systems, acoustics, speech & video signal processing, and IoT. This book is a collated work of academicians, researchers, and industry personnel from the international arena. This book will be useful for researchers, professionals, and engineers working in the core areas of electronics and communication.
About This Book Contents About the Editors IoT-Based Monitoring, Communication and Control of Small Wind Turbines Using Azure Cloud Service 1 Introduction 2 Literature Review 3 Architecture 3.1 Practical Model 3.2 Simulation Model 4 Hardware Required 4.1 Raspberry Pi 4.2 Relay 4.3 TMC Controller or Any Wind Turbine Controller 5 Software Required 5.1 TinkerCAD 5.2 ThingSpeak 5.3 Node Red 5.4 Microsoft Azure IoT Hub 5.5 Power BI 6 Implementation 6.1 Simulation Model 6.2 Practical Model 7 Results and Discussion 8 Conclusion References Implementation of e-Healthcare Data Acquisition System Using IoT (Internet of Things) 1 Introduction 2 Existing System 3 Proposed System 4 Methodology 5 Block Diagram 6 Hardware Description 6.1 Zigbee 6.2 LCD 6.3 GPRS 6.4 Temperature Sensor 6.5 ECG Electrode 6.6 Pulse Sensor 6.7 MEMS 7 Software-Based Device 8 Experiment Outcome 9 Conclusions and Future Scope References Review of Discrete Wavelet Transform-Based Emotion Recognition from Speech 1 Introduction 2 Speech Emotion Recognition System 2.1 Feature Extraction 2.2 Classifiers 3 Proposed Method 3.1 Pre-Processing 3.2 Feature Extraction 3.3 Classification 4 Results and Discussion 4.1 Data Set 4.2 Experimental Output 5 Conclusion References Network Intrusion Detection Using Machine Learning 1 Introduction 2 Literature Survey 3 Methodology 4 Implementation 4.1 Dataset Exploration and Pre-processing 4.2 Classifier Modelling and Training 5 Results and Analysis 6 Conclusion References Glacier Ice Surface Velocity Using Interferometry 1 Introduction 2 Study Area and Dataset 3 Methodology 4 Results 5 Conclusion References A Study on Various Optimization Techniques for Understanding the Challenges, Issues, and Opportunities of Hybrid Renewable Energy Built Microgrid Systems 1 Introduction 1.1 Components of HREBMS 1.2 Components of HREBMS 2 Challenges 3 Optimization Techniques 3.1 Graphical Method 3.2 Probabilistic Technique 3.3 Deterministic Method 3.4 Iteration Method 3.5 Genetic Algorithm (GA) 3.6 Fuzzy Logic 3.7 Artificial Neural Network (ANN) 3.8 Artificial Bee Colony (ABC) Algorithm 3.9 Particle Swarm Optimization (PSO) 3.10 Spotted Hyena (SH) Optimization 3.11 Elephant Herd (EH) Optimization 4 Conclusion and Future Scope References Intrusion Detection System on New Feature Selection Techniques with BFO 1 Introduction 2 Related Work 3 Data Collection and Preparation 3.1 Data Collector 4 Methodology 5 Feature Selection 5.1 Bacterial Foraging Optimization Algorithm (BFO) 5.2 Proposed Algorithm for Proposed Feature Selection (PFS) 6 Classification 6.1 SVM Classifier 7 Results and Discussion 8 Conclusion References Frequency and Stability Control of Photovoltaic and Wind-Powered Grid-Connected DC Bus System 1 Introduction 2 System Description 2.1 Proportional Integral Controller 2.2 Fractional Order PID Controller 3 Simulation Results 3.1 Closed-Loop PI Controller Simulation Results 3.2 Closed Loop Fractional Order PID Controller Simulation Results 4 Conclusion References An Evaluation of Feature Selection Methods Performance for Dataset Construction 1 Introduction 1.1 Feature Selection Procedure 2 Literature Survey 3 Feature Selection Methods 4 System Model 5 Experimental Setup 6 Results and Discussion 7 Conclusion References IoT-Based Laboratory Safety Monitoring Camera Using Deep-Learning Algorithm 1 Introduction 2 Research Background 3 Problem Statement 4 Methodology 5 Discussion 5.1 Phase 1: Analysis 5.2 Phase 2: Design 5.3 Phase 3: Development and Implementation 5.4 Phase 4: Testing and Evaluation 6 Conclusions References ByWalk: Unriddling Blind Overtake Scenario with Frugal Safety System 1 Introduction 2 Methodology and Implementation 2.1 Input Computational Segment 2.2 Contour Growth Rate 2.3 Output Computational Segment 2.4 Architecture 2.5 Position and Algorithm 2.6 Vehicle-To-Vehicle Communication 3 Conclusion References Levy Flight-Based Black Widow Optimization for Power Network Reconfiguration 1 Introduction 2 Literature Review 3 Problem Formulation 3.1 Power Loss Minimization 3.2 Power System Constraints 4 Proposed Algorithm 4.1 Black Widow Optimization 4.2 Levy Flight-Based Black Widow Optimization (LFBWO) 5 Results and Discussion 6 Performance Analysis of Indian 52 Bus System 7 Conclusion References Exploratory Spatial Data Analysis (ESDA) Based on Geolocational Area 1 Introduction 2 Related Work 3 Proposed Model 3.1 Tools Used 4 Results and Discussion References Modified Hill Cipher with Invertible Key Matrix Using Radix 64 Conversion 1 Introduction 2 Literature Survey 3 Hill Cipher Algorithm 4 Proposed Methodology 4.1 Radix 64 Conversion 5 Performance and Security Analysis 5.1 Analysis of Data Size After Encryption and Decryption Processes 5.2 Avalanche Effect 5.3 Encryption Time Dependence on File Size 6 Conclusion References BT Classification Using Deep Learning Techniques from MRI Images—A Review 1 Introduction 2 Literature Review 3 Challenges 4 Proposed Methodology 5 Conclusion References Design and Development of Automated Smart Warehouse Solution 1 Introduction 2 Technologies Used to Promote Warehouse Management 3 Role of IoT in Smart Warehouse 3.1 Analytics, Reporting, and Strategy 3.2 Better Transparency in Supply Chain and Maintenance 3.3 Cloud Computing 3.4 Data Visualization 3.5 IoT Data 3.6 Last Mile Delivery 3.7 Low Power and Lightweight 3.8 Predictive Maintenance 3.9 Real-Time Data 3.10 RFID Tags 3.11 Sensors 3.12 Tracking 3.13 Wearables 4 Proposed Automated Smart Warehouse Architecture 4.1 Controller Architecture 5 Simulation of the Proposed Smart Warehouse 5.1 Proteus Simulation 5.2 CAD Model Simulation of the Smart Warehouse System: 6 Implementation of Smart Warehouse System 7 Research Issues and Impediments 8 Results and Inferences 9 Conclusion and Future Work References Emotion Recognition from Facial Expressions Using Videos and Prototypical Network for Human–Computer Interaction 1 Introduction 2 Related Work 3 Proposed Method 3.1 Data Preprocessing 3.2 Prototypical Networks 3.3 Classification of Videos 4 Experiment Setup 4.1 Dataset 4.2 Dataset for Training Prototypical Network 4.3 Implementation 5 Result and Analysis 6 Conclusion References A Review on Early Diagnosis of Parkinson’s Disease Using Speech Signal Parameters Based on Machine Learning Technique 1 Introduction 2 Conventional Feature-Based Techniques 3 Machine Learning-Based Techniques 4 Discussion 5 Conclusion References Investigation of Attention Deficit Hyperactivity Disorder with Image Enhancement and Calculation of Brain Grey Matter Volume using Anatomical and Resting-State functional MRI 1 Introduction 2 Methodology 3 Results and Discussion 4 Conclusion References VLSI Implementation for Noise Suppression Using Parallel Median Filtering Technique 1 Introduction 2 Proposed Work 2.1 Traditional Median Filter Algorithm 2.2 Modified Median Filter Algorithm 2.3 Block Diagram 3 Result 4 Experimentation 5 Conclusion References Investigation on Performance of CNN Architectures for Land Use Classification 1 Introduction 2 CNN Architectures 2.1 Dilated CNN 2.2 UNET Architecture 3 Results and Discussion 3.1 Dataset 4 Conclusion References Enhanced ATM Security Using Facial Recognition, Fingerprint Authentication, and WEB Application 1 Introduction 2 Architecture of the Proposed System 2.1 RFID 2.2 Facial Recognition 2.3 Biometric Authentication 2.4 Data Security 2.5 EATMSP Web Application 3 Operation of the Proposed System 4 Experimental Results 4.1 Case 1: Data Is Matched 4.2 Case II: Data Is Partially Matched 4.3 Case III: None of the Data Is Matched 5 Conclusion References Spatial and Temporal Analysis of Water Bodies in Bengaluru Urban Using GIS and Satellite Image Processing 1 Introduction 2 Materials and Methods 2.1 Study Area 2.2 Satellite Data Used 2.3 Process Flow 3 Results 4 Conclusion References Shoreline Change Detection and Coastal Erosion Monitoring: A Case Study in Kappil–Pesolikal Beach Region of the Malabar Coast, Kerala 1 Introduction 2 Materials and Methods 2.1 Study Area 2.2 Data Used 2.3 Methodology 3 Results 4 Conclusion References A Novel Approach with Hybrid Technique for Monitoring and Leakage Detection of Water Pipeline Using IoT 1 Introduction 2 Proposed System 3 Working Procedure 4 Result and Discussion 5 Conclusion References VGG-16 Architecture for MRI Brain Tumor Image Classification 1 Introduction 2 Methods and Materials 2.1 Pre-trained CNN Models for Deep Feature Extraction 3 Results and Discussion 4 Conclusion References Cryo-facies Mapping of Karakoram and Himalayan Glaciers Using Multispectral Data 1 Introduction 2 Materials and Methods 2.1 Study Area 2.2 Data Used 2.3 Methodology 3 Results 4 Conclusion References Ethereum-Based Certificate Creation and Verification Using Blockchain 1 Introduction 2 Related Work 3 Proposed Methodology 3.1 Digital Certificate Creation 3.2 Web Application 3.3 Security Protocol 3.4 QR Encoding 3.5 Certificate Verification 3.6 Store the Logs in Blockchain 4 Experimental Results 4.1 Evaluation Metrics 5 Conclusion and Future Work References IoT and Machine Learning Algorithm in Smart Agriculture 1 Introduction 2 Literature Survey 3 Technical Terms in IoT 3.1 IoT Definition 3.2 Characteristics of IoT 3.3 IoT Architecture 3.4 IoT Components 4 Agricultural IoT 4.1 Applications of IoT in Agriculture 4.2 Technologies Used in IoT for Agriculture 4.3 Types of Sensors in Agriculture 4.4 Agriculture Data Analysis 4.5 Agricultural Practices 5 Benefits of IoT in Agriculture 6 Comparison of Literatures for Arriving at Best IoT and Machine Learning Algorithm 7 Conclusion References Laminar Ice Flow Model-Based Thickness and Volume Estimation of Karakoram Glaciers 1 Introduction 2 Study Area 3 Data Used 4 Methodology 5 Results 6 Conclusion References Monitoring of Melting Glaciers of Ny-Ålesund, Svalbard, Arctic Using Space-Based Inputs 1 Introduction 2 Materials and Methods 2.1 Study Area 2.2 Data Used 2.3 Methodology 3 Results 4 Conclusion References Supraglacial Debris Cover for Ny-Ålesund Using Sentinel-2 Data 1 Introduction 2 Materials and Methods 2.1 Study Area 2.2 Data Used 2.3 Methodology 3 Results 4 Conclusion References Flood Mapping and Damage Assessment of Odisha During Fani Cyclone Using HSR Data 1 Introduction 2 Materials and Methods 2.1 Study Area 2.2 Fani Cyclone 2019: Odisha Flood Situation 2.3 Data Used 2.4 Methodology 3 Results 4 Conclusion References Disability Assistance System Using Speech and Facial Gestures 1 Introduction 2 Proposed Disability Assistance System 3 Theory and Calculation 3.1 Facial Control Module 3.2 Voice Control Module 4 Results and Discussion 4.1 Facial Control Module 4.2 Voice Control Module 5 Conclusion References A Deep Learning Neural Network Model for Predicting and Forecasting the Cryptocurrency–Dogecoin Using LSTM Algorithm 1 Introduction 2 Proposed Method 3 Methodology 4 Data Visualization 5 Removing Missing Data 6 Test–Train Split 7 Forecasting Using Stacked LSTM 8 Result and Discussion 9 Conclusion References Crop Monitoring of Agricultural Land in Chikkaballapura District of Karnataka Using HSR Data 1 Introduction 2 Materials and Methods 2.1 Study Area 2.2 Data Used 2.3 Methodology 2.4 Description of Vegetation Indices Used 3 Results 3.1 Leaf Area Index (LAI) 3.2 NDVI (Normalized Difference Vegetation Index) 3.3 FAPAR (Fraction of Absorbed Photosynthetically Active Radiation) 3.4 FCover/Fraction of Vegetation Cover (FVC) 3.5 CW/Canopy Water Content (CWC) 3.6 CAB/Chlorophyll Content in Leaf (CCI) 4 Conclusion References RGB-to-Grayscale Conversion Using Truncated Floating-Point Multiplier 1 Introduction 2 IEEE 754–2008 Standard 3 NBPR Algorithm 3.1 PP Generation 3.2 PP Reduction 3.3 Final Addition Using Carry Propagating Adder (CPA) 4 Truncated Floating-Point Multiplication 4.1 Truncated Mantissa Multiplication 4.2 Error Analysis 5 Results and Discussion 5.1 Applications 6 Conclusions References IoT-Based System Development for Online Power Quality Condition Monitoring of Transformer 1 Introduction 2 Literature Survey 3 System Model 4 Transformer Condition Monitoring Workflow Diagram 5 Hardware Implementation 6 Conclusion References A Cloud-Based Prediction and Self-Diagnosis System for PCOS Using Machine Learning Models 1 Introduction 2 Related Work 3 Methodology 4 Result Analysis and Discussion 5 Conclusion References AN2DROM: Anti-drowsiness Device for Motorcyclist 1 Introduction 1.1 Problem Statement 1.2 Objective 2 Methodology 2.1 Phase 1: Analysis 2.2 Phase 2: Design 2.3 Phase 3: Implementation 2.4 Phase 4: Testing and Finding 2.5 Phase 5: Maintenance 3 Discussion 4 Conclusion References One-Dimensional Flood Modeling of River Kaveri Using HEC-RAS 1 Introduction 2 Materials and Methods 2.1 Study Area 2.2 Data Used 2.3 Methodology 3 Results 4 Conclusion References Face Recognition-Based Attendance System with a Mobile Application Using Raspberry Pi 1 Introduction 2 Hardware Description 2.1 Raspberry Pi 4B Board 2.2 Pi Camera 2.3 LCD 3 Software Description 3.1 Raspbian OS 3.2 Open CV 4 Experimental Implementation 4.1 Capturing of Face Image 4.2 Face Detection 4.3 Facial Features Extraction 4.4 Encoding of Face Images 4.5 Face Recognition 4.6 Real-Time Acknowledgment with LCD and Email 4.7 Application Layer 5 Prototype 6 Hardware Results 7 Software Results 8 Results from the Android App 9 Conclusion References The Contemporary State of Glacial Lakes in Chandra Basin, Western Himalayas: A Case Study in 2020 1 Introduction 2 Materials and Methods 2.1 Study Area 2.2 Satellite Data Used 2.3 Process Flow 3 Results 4 Conclusion References AI-Enabled Dimming Streetlight with Energy Optimization 1 Introduction 2 Motivation 3 Related Work 4 Proposed Work 5 Results 5.1 Firmware 5.2 Linear Regression 5.3 SoftMax Classifier 6 Future Scope References A Survey of QoE Framework for Video Services in 5G Networks 1 Introduction 2 Literature Survey 2.1 QoE-Aware HTTP Adaptive Video Streaming in 5G Architecture 2.2 Video Services Based on SDN and NFV Networks in 5G 2.3 Parametric QoE Estimation for Video Streaming 3 QoE Framework for Video Services 4 Deep Learning and Machine Learning Models for QoE Estimation 4.1 Comparison of Deep Learning and Machine Learning Models for QoE Prediction 5 Conclusion References Linearization of R-R Peak in Abdominal ECG Signals for Fetal ECG Separation Using Adaptive Filter 1 Introduction 2 Proposed Fetal ECG Extraction Algorithm 2.1 Detection of R Peaks 2.2 Framing 2.3 Slope Estimation 2.4 Linearization of Frames 2.5 Adaptive Filtering 2.6 Algorithm 3 Experimental Results 4 Conclusion References Accident Alert and Intensity Predictive System with Machine Learning Approach 1 Introduction 2 Proposed Methodology 2.1 Monitoring and Data Analytics 2.2 Machine Learning 3 Results and Discussion 3.1 Data Pre-processing 4 Conclusion References IoT-Based Smart Health Monitoring System Using Cloud Services 1 Introduction 2 Literature Review 3 Proposed Design 3.1 System Implementation 3.2 Sensors Used in Designing the System 4 Serial Communication 4.1 ThingSpeak 4.2 If This Then That (IFTTT) 5 Results and Discussion 5.1 Hardware Integration 6 Conclusion References Noninvasive Detection of Alzheimer’s Disease from Conversational Speech Using 1D-CNN 1 Introduction 2 Material and Methods 2.1 Data 2.2 Feature Selection 2.3 Deep Learning Classifiers 2.4 Proposed Design Flow 3 Results 3.1 Feature Analysis 3.2 Classifier Results 4 Discussion 5 Conclusion References Machine Learning for Diabetes Detection 1 Introduction 2 Literature Review 3 Methodology and Implementation 4 Conclusion References