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: 1 نویسندگان: M. Mitra, Mita Nasipuri, Maitreyi Ray Kanjilal سری: Lecture Notes in Electrical Engineering ISBN (شابک) : 9811640343, 9789811640346 ناشر: Springer سال نشر: 2021 تعداد صفحات: 0 زبان: English فرمت فایل : EPUB (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 63 مگابایت
در صورت ایرانی بودن نویسنده امکان دانلود وجود ندارد و مبلغ عودت داده خواهد شد
در صورت تبدیل فایل کتاب Computational Advancement in Communication, Circuits and Systems: Proceedings of 3rd ICCACCS 2020 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 پیشرفت محاسباتی در ارتباطات، مدارها و سیستم ها: مجموعه مقالات سومین ICCACCS 2020 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 سومین کنفرانس بینالمللی پیشرفت محاسباتی در مدارها و سیستمهای ارتباطی (ICCACCS 2020) است که بهطور مجازی توسط موسسه فناوری نارولا، کلکته، هند برگزار شده است. این کتاب مقالات بررسی شده را ارائه میکند که یافتههای نظری و تجربی جدید در زمینههای الکترونیک و مهندسی ارتباطات، از جمله حوزههای بینرشتهای مانند محاسبات پیشرفته، تشخیص و تحلیل الگو، و پردازش سیگنال و تصویر را برجسته میکند. مقالات مربوطه طیف گسترده ای از اصول، تکنیک ها و کاربردها در دستگاه های مایکروویو، ارتباطات و شبکه، پردازش سیگنال و تصویر، محاسبات و ریاضیات و کنترل را پوشش می دهند.
This book gathers the proceedings of the Third International Conference on Computational Advancement in Communication Circuits and Systems (ICCACCS 2020), organized virtually by Narula Institute of Technology, Kolkata, India. The book presents peer-reviewed papers that highlight new theoretical and experimental findings in the fields of electronics and communication engineering, including interdisciplinary areas like advanced computing, pattern recognition and analysis, and signal and image processing. The respective papers cover a broad range of principles, techniques, and applications in microwave devices, communication and networking, signal and image processing, computations and mathematics, and control.
Preface Contents About the Editors Proper Choice of a Machine Learning Algorithm for Breast Cancer Prediction 1 Introduction 2 Material and Methods 2.1 Data Sets 2.2 Experiments 3 Feature Selection Methods 4 Results and Discussion 5 Conclusion References Word Boundary Detection Using Convolutional Neural Network (CNN) and Decision Tree Method 1 Introduction 2 Methodology 2.1 Mel Spectrogram 2.2 Mel Frequency Cepstral Coefficients (MFCC) 3 Word Boundary Detection Using Convolutional Neural Network 3.1 Create Word Profile 3.2 Data Preprocessing 3.3 Model Architecture 3.4 Create Training Dataset 4 Word Boundary Detection Using Decision Tree 4.1 Create MFCC Matrix from Audio Signals 4.2 Creating Training Data for Decision Tree 5 Result Analysis 5.1 Predict Word Profiles Using Convolutional Neural Network Approach 5.2 Predict Word Profiles Using Decision Tree Approach 6 Evaluation 6.1 Accuracy of Convolutional Neural Network (CNN) Model 6.2 Accuracy of Decision Tree Based Model 7 Conclusion References Brain Computer Interface: A Review 1 Introduction 1.1 Functions of BCI 2 Applications of BCI 2.1 Medical Application 2.2 Neuroergonomics and Smart Environment 2.3 Neuromarketing and Advertisement 2.4 Educational and Self-Regulation 2.5 Games and Entertainment 2.6 Security and Authentication 3 Components of BCI System 4 Challenges in BCI System 4.1 Usability Challenges 4.2 Technical Challenges 5 Conclusion References COVID-19 Economic Tracking and Assistance System (CETAS) 1 Introduction 2 Genesis 3 Solution Methodology 3.1 Application Overview 3.2 Features 3.3 Salient Aspects 4 Conclusion References Use of Convolutional Neural Network (CNN) to Detect Plant Disease 1 Introduction 2 Material and Methods 2.1 Data Sets 2.2 Convolutional Neural Network 2.3 Training the Model 3 Results and Discussion 4 Conclusion References Prediction of Blended Fuel Characteristics Through Regression Modelling 1 Introduction 2 Materials and Methods 3 Results and Discussions 3.1 Variation of Kinematic Viscosity with Blending Ratio 3.2 Variation of Cloud Point with Blending Ratio 3.3 Variation of Flash Point with Blending Ratio 4 Conclusion References Path Minimization Planning and Cost Estimation of Passive Optical Network Using Algorithm for Sub-optimal Deployment of Optical Fiber Cable 1 Introduction 2 Optimization Process for Optical Path 2.1 Network Diagram Using k-nearest Neighbor Algorithm 2.2 Introduction to Classification and KNN Classifier 2.3 The Proposed Algorithm 2.4 Obstacle Avoidance 2.5 Approximate Cost Calculation of the Optimized Path 3 Simulation Results 4 Conclusion References Implementing Data Security in Delay Tolerant Network in Post-disaster Management 1 Introduction 2 Related Work 3 System Model 4 Explanation of Encryption Algorithm 5 Explanation of Decryption Algorithm 6 Result Evaluation 6.1 Delivery Probability 6.2 Latency Average 6.3 Overhead Ratio 7 Delivery Probability, Overhead Ratio, Latency Average Before Encryption or Without Security 7.1 Delivery Probability 7.2 Latency Average 7.3 Overhead Ratio 8 Delivery Probability, Overhead Ratio, Latency Average After Encryption or with Data Security 8.1 Delivery Probability 8.2 Latency Average 8.3 Overhead Ratio 9 Conclusions References Face Detection and Extraction Using Viola–Jones Algorithm 1 Introduction 2 Materials and Methods 2.1 Data Used for Image Insertion 2.2 Data Used for Human Face Detection 2.3 Datasets 2.4 Algorithm 2.5 Flowchart 3 Results and Discussion 3.1 Data Preparation 3.2 Constructing a Cascade Classifier with a Modified AdaBoost Algorithm 3.3 Statistical Analysis 3.4 Application 4 Conclusion References FPGA-Based Efficient Implementation of CBNS Computational Circuits: A Modular Approach 1 Introduction 2 Design of Modules 2.1 Design of Module 0 2.2 Design of Module 1 2.3 Design of Module 2 3 Design of Nibble Size Computation Units 3.1 Structural-Level Design of a Nibble Size Parallel CBNS Adder 3.2 Structural-Level Design of Nibble Size CBNS Multiplier 3.3 Structural-Level Design of Parallel Nibble Size CBNS Subtractor Circuit 4 FPGA Implementation and Performance Evaluation 5 Conclusion References Checking and Coloring Graphs Through Quantum Circuits: An IBM Quantum Experience 1 Introduction 2 Algorithm for 2 Vertices Coloring 2.1 Algorithm and Implementation 2.2 Quantum Cost 2.3 Classical Complexity 3 Algorithm for 3 Vertices Coloring 3.1 Algorithm and Implementation 3.2 Quantum Cost 3.3 Classical Complexity 4 Trees 4.1 Quantum Cost 4.2 Classical Complexity 5 Binary Trees 5.1 Quantum Cost 5.2 Classical Complexity 6 Conclusion References Design of FPGA-Based QPP Interleaver for LTE/LTE-Advanced Application 1 Introduction 2 Interleaving in LTE/LTE-A 3 Proposed Algorithm for QPP Interleaver 4 Hardware Realization 5 Simulation Result 6 FPGA Implementation Result and Analysis 7 Conclusion References Influences of Solar Activity on Food Grains Yield 1 Introduction 2 Analyses and Results 3 Conclusion References Different Sensors in Modern day Healthcare Service 1 Introduction 2 Sensor Nodes Construction 3 Application of WSN in Healthcare 4 WBAN Architecture 5 Faults in WBAN 6 Different Sensors Used in Healthcare 7 Conclusion References Contingency Analysis and Ranking for a 30 Bus System to Maintain Its Stability and Reliability 1 Introduction 2 Theoretical Background 3 Mathematical Formulation 4 Case Study 5 Results 6 Conclusion References Swarm Intelligence-Based Reactive Power Constrained Generator and Load Scheduling in Smart Grid with Renewable Energy Sources 1 Introduction 2 Description of the Methodology and Algorithm 2.1 Development of Voltage Profile Index 2.2 Modelling of the Proposed Algorithm and Its Mathematical Formulation 2.3 Application of the Proposed IEEE 30 Bus System Methodology 2.4 Comparison Between Traditional Optimization Technique and the Proposed Methodology in All Thermal System 2.5 Comparison Between Traditional and Proposed Optimization Algorithm on Integrated Renewable Energy Systems 2.6 Comparison Between All Thermal System and Integrated Renewable Energy System with the Proposed Optimization Technique 3 Conclusion References Impact of Atmospheric Features for COVID-19 Prediction 1 Introduction 2 Collection and Compilation of COVID-19 and Atmospheric Conditions’ Data 3 Gradient Boosting Machine (GBM) Learning Approach 4 Analysis of Outcome 5 Discussions 6 Conclusion Bibliography New Sorting Algorithm—RevWay Sort 1 Introduction 2 Working Procedure and Algorithm of RevWay Sort 2.1 Procedure 2.2 Algorithm 3 Case Study of RevWay Sort 3.1 Best Case 3.2 Average Case 3.3 Comparison with Well-Known Sorting Algorithm 4 Conclusion References Price Sensitivity in a 30 Bus Congested Power System 1 Introduction 2 Terminology 2.1 Shift Factor (SF) 2.2 Shadow Price (SP) 2.3 Locational Marginal Price (LMP) 3 Mathematical Formulation 4 Case Studies 5 Results 6 Conclusion References Security of Load Flow Analysis with Photovoltaic Energy Sources 1 Introduction 1.1 The Power Flow Analysis 2 Mathematical Foundation 3 Mathematical Formulation 4 Case Study 4.1 Input Parameter 5 Results and Discussion 6 Conclusion References Evaluation of Azimuth Angle Profile for Solar Photovoltaic System in Humid Subtropical Climate of Varanasi City 1 Introduction 2 Mathematical Foundation of Azimuth Angle 3 Mathematical Formulation 4 Results and Discussion 5 Conclusion References Spectrum Based Prediction for Seismic Activity 1 Introduction 2 Materials and Methods 2.1 Normalization 2.2 Filtering 2.3 CWT 2.4 Segmentation 3 Results 4 Discussion 5 Conclusion References Effect of Cognitive Task on the Central Nervous System 1 Introduction 2 Method 2.1 Mental Arithmetic Task Experiment 2.2 Surrogate Data Test 2.3 Phase Space Reconstruction Analysis of a Dynamical System 2.4 Average Mutual Information 2.5 False Nearest Neighbors (FNN) 2.6 Topological Scalp Map 3 Results and Discussion 4 Conclusion References Microcontroller-Based Heart Rate Monitor 1 Introduction 2 Photoplethysmography 3 Working Principle 3.1 Circuit Diagram 3.2 Expected Outcome of the Project 3.3 Application of the Project 4 Conclusion References A QCA-Based Improvised TRNG Design for the Implementation of Secured Nano Communication Protocol in ATM Services 1 Introduction 2 Preliminaries 2.1 Random Number Generator 2.2 QCA-Based TRNG Seed Circuit 3 Proposed MV Based TRNG in QCA 3.1 Crossed Loop MV Circuit 3.2 Majority Voter Based QCA 8-bit TRNG Design 4 Practical Implementation of Proposed TRNG in ATM Machine 5 Result and Analysis 6 Conclusion References Diagnoses of Melanoma Lesion Using YOLOv3 1 Introduction 2 YOLO Architecture and Implementation 3 Proposed Methodology 3.1 Training YOLOv3 with PH2, ISIC 2016 and ISBI 2017 Dataset 3.2 Preprocessing and Segmentation 4 Result and Discussion 4.1 Parameters for Evaluations 4.2 Result Analysis 4.3 Discussion 5 Conclusion References Detection of COVID-19 Using Deep Transfer Learning-Based Approach from X-Ray and Computed Tomography(CT) Images 1 Introduction 2 Data Collection 2.1 COVID-19 Image Data 2.2 Chest X-Ray Images (Pneumonia) 3 Data Preprocessing 4 Methods 4.1 Residual Networks 4.2 Very Deep Convolutional Networks 4.3 AlexNet 4.4 DenseNet 4.5 InceptionNet-V3 5 Results 5.1 AlexNet Architecture 5.2 ResNet-34 Architecture 5.3 DenseNet-121 Architecture 5.4 VGG-16 Architecture 5.5 InceptionNet-V3 Architecture 6 Conclusion References Quantum Random Number Generators for Cryptography: Design and Evaluation 1 Introduction 2 An Overview of Quantum Cryptography 2.1 Basics of QRNG 2.2 CNOT Gate 2.3 Swap Gate 2.4 Hadamard Gate 2.5 RZ Gate 3 The Proposed Scheme 3.1 Implementation and Evaluation of the Proposal in IBM Qiskit 4 Conclusion and Future Aspect References Performance of 60 GHz Signal as a mm Wave Access Link for 5G eMBB Access Points 1 Introduction 2 Related Works 3 Methodology and Working Idea 4 Simulation 5 Results and Discussions 6 Conclusions References A Comparative Study of Parametric Spectrum Estimation Techniques for Cognitive Radio Using Testbed Prototyping 1 Introduction 2 Testbed Setup 3 Mathematical Background 3.1 Goodness of Fit (GoF) Test 3.2 Variance Analysis 3.3 Power Spectrum Density 4 Results and Analysis 5 Conclusion References Study of Micro-Strip Patch Antenna for Applications in Contact-less Door Bell Looking at the COVID-19 Pandemic Situation 1 Introduction 1.1 Block Diagram 2 Results and Discussion 3 Conclusion References Impacts of COVID-19: A Comprehensive Study Using Linear Regression Analysis in a Predictive Approach 1 Introduction 1.1 Classification 1.2 Epidemiology 1.3 Transmission and Symptoms 1.4 Diagnosis, Prevention, and Treatment 2 Socio-Economic Impacts 2.1 Impact on Economy 2.2 Education 2.3 Entertainment and Sports 2.4 Transportation 2.5 Migration of Workers 3 Predictive Analysis: Discussion 4 Conclusion References Word Estimation in Continuous Colloquial Bengali Speech 1 Introduction 2 Methodology 3 Result Analysis 4 Conclusion References Author Index