E-Book, Englisch, Band 106, 710 Seiten
Sharma / Balas / Son Micro-Electronics and Telecommunication Engineering
1. Auflage 2020
ISBN: 978-981-15-2329-8
Verlag: Springer Nature Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
Proceedings of 3rd ICMETE 2019
E-Book, Englisch, Band 106, 710 Seiten
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-981-15-2329-8
Verlag: Springer Nature Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book presents selected papers from the 3rd International Conference on Micro-Electronics and Telecommunication Engineering, held at SRM Institute of Science and Technology, Ghaziabad, India, on 30-31 August 2019. It covers a wide variety of topics in micro-electronics and telecommunication engineering, including micro-electronic engineering, computational remote sensing, computer science and intelligent systems, signal and image processing, and information and communication technology.
Dr. D.K. Sharma specializes in VLSI design & Signal Processing. He is currently a Professor & Dean of SRM Institute of Science and Technology, Delhi NCR Campus, Ghaziabad, India. He holds a Ph.D. degree in Electronics & Communication Engineering (VLSI design) from National Institute of Technology, Kurukshetra, India. Dr. Sharma has authored many papers in SCOPUS/SCI index journals and international conferences. His research interests are in VLSI interconnects, electronic circuits, digital design, testing, and signal processing. He has been the Editor to the 2nd International Conference on Microelectronics and Telecommunication. He is a member of professional societies like LISTE, LIETE, and VSI and is reviewer of many international journals/conferences. He has served as General Chair and Convener of the 2nd International Conference on Microelectronics and Telecommunication (ICMETE-2018) held in India. Dr. Sharma has participated in many international and national conferences as Session Chair and a member in Steering, Advisory or International Program Committees. Dr. Valentina Emilia Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, 'Aurel Vlaicu' University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 250 research papers in refereed journals and international conferences. Her research interests are in intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling, and simulation. She is the Editor-in-Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), a member in editorial board member of several national and international journals, and the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad. She is a member of EUSFLAT and SIAM and a senior member IEEE, a member in TC -Fuzzy Systems (IEEE CIS), a member in TC - Emergent Technologies (IEEE CIS) and a member in TC - Soft Computing (IEEE SMCS). E-mail: balas@drbalas.ro. Dr. Le Hoang Son obtained the Ph.D. degree in Mathematics and Informatics at VNU University of Science, Vietnam National University (VNU), in 2013. He has been promoted to an Associate Professor in Information Technology since 2017. Dr. Son worked as senior researcher and vice director at the Center for High Performance Computing, VNU University of Science, Vietnam National University, during 2007-2018. From August 2018, he is the Head of the Department of Multimedia and Virtual Reality, VNU Information Technology Institute, VNU. His major fields include artificial intelligence, data mining, soft computing, fuzzy computing, fuzzy recommender systems, and geographic information system. He is a member of many professional and academic bodies. Dr. Son serves as Editorial Board of Applied Soft Computing (ASOC, in SCIE), International Journal of Ambient Computing and Intelligence (IJACI, in SCOPUS), and Vietnam Journal of Computer Science and Cybernetics (JCC). He is also associated with many other journals in different roles. Dr. Son served as a reviewer for various international journals and conferences. Up to now, he has 131 publications in prestigious journals and conferences including 74 ISI papers (SCI: 18, SCIE: 50, ESCI: 6) and 01 SCOPUS paper and undertaken more than 20 major joint international and national research projects. He has published 6 books and book chapters. So far, he has awarded '2014 VNU Research Award for Young Scientists,' '2015 VNU Annual Research Award,'2015. Dr. Rohit Sharma is working as an Assistant Professor of Electronics and Communication Engineering, SRM University, Delhi NCR Campus, Ghaziabad, India. He has completed his Ph.D. in Electronics and Communication Engineering from Teerthanker Mahaveer University, Moradabad, India, M.Tech. (Communication Engineering) from Shobhit University, India, and B.Tech. (Electronics and Communication Engineering) from Uttar Pradesh Technical University, Lucknow, India. He has a teaching experience of over 7 years at SRM University and Dewan V.S. group of Institution, India. Dr. Sharma is an active member of ISTE, IEEE, ICS, IAENG, and IACSIT. He is an editorial board member and reviewer of more than 8 international journals and conferences. He has published about 38 research papers in international/national journals and about 09 research papers in international/national conferences. Dr. Sharma has been the Editor to 2nd International Conferences. He is also a reviewer of many international journals/conferences. Dr. Korhan Cengiz received his B.S. degree at Electronics and Communication Engineering in 2008 from Kocaeli University, Turkey. He received his Ph.D. degree in Electronics Engineering in 2016 from Kadir Has University, Turkey. Dr. Cengiz has more than 30 articles related to wireless sensor networks and wireless communications. Dr. Cengiz serves as a TPC member for more than 20 conferences. He is the Editor-in-Chief of 2 journals and the Editor of several journals. His honors include Tubitak Priority Areas Ph.D. scholarship and two best paper awards in conferences ICAT 2016 and ICAT 2018.
Autoren/Hrsg.
Weitere Infos & Material
1;Preface;6
2;Contents;7
3;About the Editors;14
4; Radio Direction-Finding Techniques for an Unmanned Aerial Vehicle;16
4.1;1 Introduction;16
4.1.1;1.1 Background;17
4.2;2 RDF Literature Review;17
4.2.1;2.1 Tracking, Radio Direction-Finding Systems and Methods;17
4.2.2;2.2 Classical Directional Antennas;18
4.2.3;2.3 Doppler Direction Finder;19
4.2.4;2.4 Interferometer (Phase Delay and Time Delay);19
4.3;3 UAV Literature Review;20
4.3.1;3.1 Fight Controller;21
4.3.2;3.2 Autopilot Control;21
4.3.3;3.3 Software Platforms;22
4.4;4 Results;23
4.4.1;4.1 RDF Technique Evaluation;23
4.4.2;4.2 UAV Evaluation;23
4.4.3;4.3 Proposed Hardware and Software Configuration;24
4.5;5 Conclusion;24
4.6;References;25
5; Wine Quality Analysis Using Machine Learning Algorithms;26
5.1;1 Introduction;27
5.2;2 Literature Survey;27
5.2.1;2.1 Documentary Research;27
5.2.2;2.2 Algorithm Analysis;28
5.3;3 Methodology;29
5.3.1;3.1 Model Overview;30
5.3.2;3.2 Data Description;31
5.4;4 Result and Analysis;32
5.5;5 Conclusion and Future Work;33
5.6;References;33
6; Internet Traffic Detection and Classification Using Machine Learning;34
6.1;1 Introduction;35
6.2;2 Methodology;35
6.3;3 Machine Learning Algorithms;37
6.3.1;3.1 Gaussian Naïve Bayes;37
6.3.2;3.2 K-Nearest Neighbours;38
6.3.3;3.3 Artificial Neural Network;39
6.3.4;3.4 Decision Tree;40
6.3.5;3.5 Random Forest Algorithm;40
6.4;4 Results;41
6.5;5 Conclusion;43
6.6;References;44
7; Secure Intelligent Optimized Link Heuristic in Cross-Network Handover for IoT;45
7.1;1 Introduction;45
7.2;2 State of the Art;47
7.3;3 Network Simulation;50
7.4;4 Result Analysis;51
7.5;5 Conclusion;53
7.6;References;53
8; Remote Monitoring of Vital Parameters with IoT-Based Sensing System;55
8.1;1 Introduction;55
8.2;2 Telemedicine;56
8.3;3 Internet of Things;56
8.4;4 Methodology and Discussion;57
8.5;5 Software and Hardware Requirements;57
8.6;6 Description of System Components;58
8.6.1;6.1 IoT Webpage;58
8.6.2;6.2 ESP8266 Wi-Fi Module;58
8.6.3;6.3 Arduino Uno Board;59
8.6.4;6.4 HX711 Weight Sensor;60
8.6.5;6.5 LM 35 Temperature Sensor;60
8.6.6;6.6 Alcohol Sensor (MQ-3);60
8.6.7;6.7 Heart Rate and Pulse Oximetery Sensor IC;61
8.7;7 Results and Discussion;61
8.8;8 Conclusion;62
8.9;References;63
9; Economic Load Dispatch Using PSO;64
9.1;1 Introduction;64
9.2;2 Mathematical Modeling;65
9.3;3 Evolutionary Optimization Techniques;66
9.4;4 PSO Methodology;67
9.5;5 PSO Algorithm;68
9.6;6 Results and Discussion;71
9.7;7 Conclusion;73
9.8;References;76
10; Effective Vibration Damping Using Self-tuning Smart Material;78
10.1;1 Introduction;78
10.2;2 Methodology;79
10.2.1;2.1 Piezoelectric Materials;79
10.2.2;2.2 Capacitance of Piezoelectric Materials;79
10.2.3;2.3 Natural Frequency;80
10.2.4;2.4 Single-Mode Passive Shunt Damping Using Piezoelectric Materials;80
10.2.5;2.5 R–L Shunt Series Circuit Design;81
10.3;3 Experimental Configuration;83
10.3.1;3.1 Design of a Synthetic Inductor;83
10.4;4 Experimental Results;84
10.5;5 Conclusion;86
10.6;References;87
11; Performance Analysis of BIPV Solar Panel Under the Effect of External Conditions;88
11.1;1 Introduction;88
11.2;2 Experimental Setup;90
11.3;3 Results and Discussion;91
11.4;4 Conclusion;94
11.5;References;97
12; Classification of Prediabetes and Healthy Subjects in Plantar Infrared Thermal Imaging Using Various Machine Learning Algorithms;98
12.1;1 Introduction;99
12.2;2 Materials and Methodology;100
12.2.1;2.1 Study Population and Measurements;100
12.2.2;2.2 Experimental Protocol and Thermal Imaging Analysis;100
12.2.3;2.3 Classifiers and Statistical Analysis;101
12.3;3 Results;102
12.4;4 Discussions;103
12.5;5 Conclusion;107
12.6;References;107
13; Fog Computing using Interoperability and IoT Security Issues in Health Care;110
13.1;1 Introduction;110
13.2;2 Devices to Be Connected;112
13.3;3 Interoperability Issues;114
13.4;4 Security Issues;114
13.5;5 Conclusion;117
13.6;References;118
14; Comparison of Manual and Semi-automated Method in Measurement of Joint Space Width Measurement in Feet Region of RA Patients;119
14.1;1 Introduction;119
14.2;2 Materials and Methodology;120
14.2.1;2.1 Study Population and Measurements;120
14.2.2;2.2 Manual Measurements;121
14.2.3;2.3 Semi-automated Measurements;122
14.2.4;2.4 Statistical Analysis;122
14.3;3 Results and Discussion;122
14.4;4 Conclusion;126
14.5;References;128
15; Translation into Pali Language from Brahmi Script;129
15.1;1 Introduction;129
15.2;2 Literature;130
15.3;3 Brahmi Script;131
15.3.1;3.1 Properties of Brahmi Script;132
15.3.2;3.2 Characteristic;132
15.4;4 Pali Language;132
15.4.1;4.1 Relationship Between Characters of Brahmi Script and Pali Language;132
15.5;5 Methodology;133
15.5.1;5.1 Input;133
15.5.2;5.2 Mapping;134
15.5.3;5.3 Output Text;134
15.6;6 Experimental Result;135
15.7;7 Conclusion;135
15.8;References;135
16; The Dataset for Printed Brahmi Word Recognition;137
16.1;1 Introduction;137
16.2;2 Writing Systems and Scripts of the World;138
16.2.1;2.1 Logographic System;139
16.2.2;2.2 Syllabic System;139
16.2.3;2.3 Abjad System;139
16.2.4;2.4 Abugida System;140
16.2.5;2.5 True Alphabetic;140
16.2.6;2.6 Featural System;140
16.3;3 Literature Review;140
16.4;4 Methodology;142
16.4.1;4.1 Data Collection;142
16.4.2;4.2 Segmentation;142
16.4.3;4.3 Data Storage and Labeling;143
16.4.4;4.4 Statistical Distribution;143
16.5;5 Conclusion;143
16.6;References;144
17; A Fractal Boundary Wideband Antenna with DGS for X-Band Application;146
17.1;1 Introduction;146
17.2;2 Antenna Design and Analysis;147
17.3;3 Simulated and Measured Results;147
17.4;4 Conclusion;151
17.5;References;151
18; An Approach to Automated Spam Detection Using Deep Neural Network and Machine Learning Classifiers;153
18.1;1 Introduction;153
18.2;2 Preliminaries;154
18.2.1;2.1 Naïve Bayes Classifier;154
18.2.2;2.2 Artificial Neural Network;155
18.3;3 Related Work;155
18.4;4 Methodology;156
18.4.1;4.1 Data Preprocessing and Preparation;156
18.4.2;4.2 Training;156
18.4.3;4.3 Testing;158
18.4.4;4.4 Hyperparameter Tuning;159
18.5;5 Result;159
18.6;6 Conclusion;161
18.7;References;161
19; Analysis and Implementation of IWT-SVD Scheme for Video Steganography;162
19.1;1 Introduction;162
19.1.1;1.1 Different Steganography Techniques;163
19.2;2 Related Work;164
19.3;3 Parameters in Video Steganography;166
19.3.1;3.1 Peak Signal-to-Noise Ratio (PSNR);166
19.3.2;3.2 Mean Square Error (MSE);166
19.4;4 Proposed Work and Discussion;166
19.4.1;4.1 Embedding Algorithm;167
19.5;5 Experimental Results;168
19.6;6 Conclusion;170
19.7;References;171
20; Handling Sparsity in Cross-Domain Recommendation Systems: Review;172
20.1;1 Introduction;172
20.2;2 CDRS Issues and Challenges;173
20.3;3 Causes and Solutions to Data Sparsity;175
20.4;4 Literature Review;176
20.5;5 Conclusion and Future Perspectives;182
20.6;References;182
21; Enabling Edge Computing in an IoT-Based Weather Monitoring Application;184
21.1;1 Introduction;184
21.2;2 Related Work;185
21.3;3 Architecture;186
21.3.1;3.1 Device Layer;187
21.3.2;3.2 Edge Layer;187
21.3.3;3.3 Cloud Layer;187
21.4;4 Implementation;187
21.5;5 Experiments;188
21.6;6 Results and Discussion;190
21.7;7 Conclusion and Future Work;191
21.8;References;192
22; Green Cloud Job Scheduling and Load Balancing Using Hybrid Biogeography Based Optimization and Genetic Algorithm: A Proposed Approach;193
22.1;1 Introduction;193
22.2;2 Related Work;195
22.3;3 Problem Definition/Need of Study;196
22.3.1;3.1 Hybrid Cloud;196
22.3.2;3.2 Features of Cloud Computing;196
22.3.3;3.3 Challenges of Cloud Computing;198
22.4;4 Cloud Scheduling;198
22.4.1;4.1 Optimization as a Solution to Cloud Scheduling;199
22.4.2;4.2 Architecture of Scheduling and Load Balancing;199
22.4.3;4.3 Working of Load Balancer;201
22.4.4;4.4 Expected Outcome;202
22.5;5 Conclusion;202
22.6;References;202
23; Detection of Hazardous Analyte Using Transparent Gate Thin-Film Transistor;204
23.1;1 Introduction;205
23.2;2 Device Design and Simulation Methodology;205
23.3;3 Simulation Outcomes With Explanations;207
23.4;4 Conclusion;210
23.5;References;210
24; A Robustness Analysis of Different Nonlinear Autoregressive Networks Using Monte Carlo Simulations for Predicting High Fluctuation Rainfall;212
24.1;1 Introduction;212
24.2;2 Material and Method;213
24.2.1;2.1 Methods Used;213
24.2.2;2.2 Data Used;214
24.3;3 Results and Discussion;215
24.4;4 Conclusion;217
24.5;References;218
25; Daily Rainfall Prediction Using Nonlinear Autoregressive Neural Network;220
25.1;1 Introduction;221
25.2;2 Material and Method;222
25.2.1;2.1 Method Used;222
25.2.2;2.2 Data Used;223
25.3;3 Results and Discussion;224
25.4;4 Conclusion;226
25.5;References;226
26; Demographic Analysis of World Population Using Various Predictive Algorithms;229
26.1;1 Introduction;229
26.2;2 Related Work Done;230
26.3;3 Methodology;231
26.4;4 Implementation;234
26.5;5 Results;234
26.5.1;5.1 Linear Regression;234
26.5.2;5.2 Polynomial Regression;235
26.5.3;5.3 Decision Tree;236
26.5.4;5.4 Random Forest;236
26.6;6 Conclusion and Comparison;237
26.7;References;238
27; Attribute-Based Access Control Schemes in Cloud: Performance and Research Directions;240
27.1;1 Introduction;240
27.2;2 Taxonomy of Attribute-Based Access Control Schemes;241
27.3;3 Performance Analysis of Attribute-Based Access Control Schemes;244
27.4;4 Research Directions;245
27.5;5 Conclusion;247
27.6;References;247
28; Junctionless Gaussian Doped Negative Capacitance SOI Transistor: Investigation of Device Performance for Analog and Digital Applications;249
28.1;1 Introduction;249
28.1.1;1.1 Literature Review;250
28.2;2 Device Structure and Simulation Approach;251
28.3;3 Results and Discussion;252
28.4;4 Conclusion;255
28.5;References;256
29; Development of a Down-Converter for a Software-Defined Radio Environment;258
29.1;1 Introduction;258
29.2;2 Receiver Architectures;260
29.2.1;2.1 Homodyne/Direct-Conversion/Zero-IF Receiver;260
29.2.2;2.2 SuperHeterodyne/Heterodyne Receiver;262
29.2.3;2.3 Low-IF Receiver;263
29.2.4;2.4 Image-Reject Receivers;263
29.2.5;2.5 Summary and Conclusion;265
29.3;References;266
30; Analysis for Time-Synchronized Channel Swapping in Wireless Sensor Network;268
30.1;1 Introduction;269
30.2;2 Related Work and Comparison;270
30.3;3 Proposed Model and Performance Parameters;272
30.4;4 Performance Parameters;274
30.5;5 Conclusion;275
30.6;References;276
31; Adiabatic Design Implementation of Digital Circuits for Low Power Applications;277
31.1;1 Introduction;277
31.2;2 Conventional CMOS;278
31.3;3 Adiabatic Logic;279
31.4;4 Results and Discussion;282
31.5;5 Conclusion;288
31.6;References;288
32; A Review: Emerging Trends of Big Data in Higher Educational Institutions;290
32.1;1 Introduction;291
32.2;2 Literature Review;291
32.2.1;2.1 Education;291
32.2.2;2.2 Understanding Big Data;292
32.2.3;2.3 Educational Data Mining;293
32.2.4;2.4 Learning Analytics;293
32.2.5;2.5 Video Analytics;294
32.3;3 Proposed Model;295
32.4;4 Implementation;296
32.5;5 Conclusion;297
32.6;6 Future Works;297
32.7;References;297
33; Realization of a Dual Stop Band for ‘S’ and ‘X’ Bands From the Complimentary Geometry of the Dual Pass Band (S and X Band Application) FSSs;299
33.1;1 Introduction;299
33.2;2 Unit Cell Design;300
33.3;3 Simulation Results;302
33.3.1;3.1 Parametric Study;303
33.4;4 Conclusion;304
33.5;References;304
34; Defect Prediction of Cross Projects Using PCA and Ensemble Learning Approach;306
34.1;1 Introduction;307
34.2;2 Literature Review;307
34.3;3 Imperative Knowledge;308
34.3.1;3.1 Description of Metrics and Dataset;308
34.3.2;3.2 Dimensionality Reduction;308
34.3.3;3.3 Ensemble Learning Modeling Approach;309
34.3.4;3.4 Performance Measures;309
34.4;4 Proposed Methodology;309
34.4.1;4.1 Experiment 1;310
34.4.2;4.2 Experiment 2;310
34.5;5 Results;311
34.6;6 Conclusion;313
34.7;References;313
35; Performance Analysis of Square and Triangular CNT Bundle Interconnects Driven by CNTFET-Based Inverters;315
35.1;1 Introduction;315
35.2;2 Proposed Interconnect Models;316
35.3;3 Transient Analysis;317
35.4;4 Crosstalk Analysis;320
35.5;5 Conclusions;321
35.6;References;322
36; A Current Tunable Third-Order Oscillator Using CCDDCC;323
36.1;1 Introduction;323
36.2;2 Circuit Description;324
36.2.1;2.1 Circuit Topology of CCDDCC;324
36.2.2;2.2 Proposed Current Tunable Third-Order Oscillator;326
36.3;3 Simulation Results;327
36.4;4 Conclusion;328
36.5;References;329
37; Parametric Classification of Dynamic Community Detection Techniques;331
37.1;1 Introduction;331
37.1.1;1.1 Dynamic Graphs;331
37.1.2;1.2 Community;332
37.1.3;1.3 Community Life Cycle;332
37.2;2 Dynamic Community Detection;332
37.2.1;2.1 Network Models;333
37.2.2;2.2 Network Memory;334
37.2.3;2.3 Community Instability;334
37.2.4;2.4 Temporal Smoothing;334
37.3;3 Classification of DCD Techniques;334
37.4;4 Conclusion and Future Work;337
37.5;References;337
38; A Low-Profile Compact Ultra-Wideband Antenna for Wireless Applications;339
38.1;1 Introduction;339
38.2;2 Antenna Layout;341
38.3;3 Results and Discussion;342
38.3.1;3.1 Results;342
38.3.2;3.2 Various Design Stages;342
38.4;4 Conclusion;346
38.5;References;346
39; Weather Monitoring System Using Smart Sensors Based on IoT;348
39.1;1 Introduction;348
39.2;2 Internet of Things (IoT);349
39.3;3 Implementation;349
39.4;4 Methodology;350
39.4.1;4.1 GSM SIM 900A;350
39.4.2;4.2 Temperature and Humidity Sensor (DHT11);351
39.4.3;4.3 Raindrop Module;351
39.4.4;4.4 Light-Dependent Resistor (LDR) Sensor;351
39.4.5;4.5 Voltage Regulator;352
39.4.6;4.6 Pollution Sensor (MQ-135 Gas Sensor);353
39.4.7;4.7 BMP180 Sensor;353
39.5;5 Implementation and Working;353
39.6;6 Result and Discussion;355
39.7;7 Conclusion;358
39.8;References;359
40; Brain Tumor Detection Using Image Processing Based on Anisotropic Filtration Techniques;361
40.1;1 Introduction;361
40.1.1;1.1 Magnetic Resonance Imaging;361
40.1.2;1.2 Tumor of the Brain;362
40.1.3;1.3 Problem Definition;362
40.1.4;1.4 Project Definition;362
40.1.5;1.5 Objective;363
40.2;2 Literature Review;363
40.3;3 Research and Methodology;364
40.3.1;3.1 Limitations to Existing Systems;364
40.3.2;3.2 Solutions in Proposed System;364
40.4;4 Proposed System;364
40.4.1;4.1 Getting an MRI Image;364
40.4.2;4.2 Anisotropic Diffusion Filter;365
40.4.3;4.3 Image Thresholding;365
40.4.4;4.4 Thinning;366
40.4.5;4.5 Segmentation Technique;366
40.5;5 Comparative Study;366
40.6;6 Result and Discussions;367
40.7;7 Conclusions;368
40.7.1;7.1 Limitations of the System;368
40.7.2;7.2 Advantages of the System;368
40.7.3;7.3 Implications for the Future;368
40.8;References;369
41; Sales Terminal Interactive Device for Disabled People;370
41.1;1 Introduction;371
41.2;2 Technology Aspects and Methodology;372
41.2.1;2.1 Screen;372
41.2.2;2.2 Status Bar;373
41.2.3;2.3 Buttons with Engraved Braille;373
41.2.4;2.4 Audio Action Bar;374
41.2.5;2.5 Yes/No Button;375
41.2.6;2.6 Language Toggle;375
41.3;3 Comparative Analysis;375
41.4;4 Economic Analysis;377
41.4.1;4.1 Raw Materials Cost;377
41.4.2;4.2 Utilities and Operating Labour Cost;377
41.5;5 Challenges;378
41.6;6 Conclusions;379
41.7;References;379
42; Ranking of E-Commerce Sites in India Using Decision-Making Approach;381
42.1;1 Introduction;381
42.1.1;1.1 Development of the Hierarchy Model;382
42.1.2;1.2 Factors for Determination of the Best E-Commerce Site;382
42.2;2 Adopted Methodology;385
42.2.1;2.1 Implementation of AHP and Its Calculations;385
42.3;3 Validation of Result;386
42.4;4 Conclusion;387
42.5;References;388
43; Computing Diet Composition for Patients with High Cholesterol Using Decision-Making Approach;389
43.1;1 Introduction;390
43.2;2 Methodology;391
43.3;3 Experimental Work;393
43.4;4 Validation of the Experimental Work;394
43.5;5 Conclusion and Future Aspect;395
43.6;References;396
44; Automatic Vehicular Number Plate Recognition (VNPR) for Identification of Vehicle Using OCR and Tesseract;397
44.1;1 Introduction;397
44.2;2 Literature Review;398
44.3;3 Methodology;399
44.4;4 Computer Vision Process;400
44.5;5 Results;400
44.6;6 Challenges Associated;402
44.7;7 Conclusions and Future Work;404
44.8;References;404
45; High-Frequency CNTFET-Based Voltage-Controlled Oscillator for PLL Application;406
45.1;1 Introduction;406
45.2;2 Design Description of VCO;407
45.3;3 Delay Cell Working Methodology;408
45.4;4 Simulations;409
45.5;5 Conclusion;412
45.6;References;412
46; Trajectory Tracking Control of Unmanned Aerial Vehicle for Autonomous Applications;413
46.1;1 Introduction;413
46.2;2 Related Work;414
46.3;3 Control Law;414
46.4;4 Working Model;416
46.4.1;4.1 Geometric Controller;416
46.4.2;4.2 Trajectory Publisher;418
46.4.3;4.3 Controller Benchmark;418
46.5;5 Simulations and Results Analysis;419
46.6;6 Conclusion and Future Scope;421
46.7;References;421
47; Evaluation and Study of IoT Entrances;423
47.1;1 Introduction;424
47.2;2 Literature;425
47.3;3 Existing Techniques;426
47.4;4 Applications of IoT Gateways;427
47.5;5 Result;428
47.6;6 Conclusion;429
47.7;References;429
48; Survey on the Impact of FSM Design for High-Performance Architecture Evaluation;431
48.1;1 Introduction;431
48.2;2 Literatures;432
48.3;3 Methodology;433
48.4;4 Applications;434
48.5;5 Result and Conclusion;436
48.6;References;436
49; A Taxonomy and Survey of Data Partitioning Algorithms for Big Data Distributed Systems;438
49.1;1 Introduction;439
49.2;2 Literature Review;439
49.3;3 Data Partitioning;440
49.3.1;3.1 Data Partitioning Taxonomy;441
49.3.2;3.2 Different Categories of Data Partitioning Techniques;441
49.3.3;3.3 Evaluation Criteria for Data Partitioning Strategies;441
49.3.4;3.4 Evaluation of Performance for Different Data Partitioning Strategies;442
49.4;4 Advantages, Disadvantages, and Future Directions of Different Data Partitioning Strategies;446
49.5;5 Conclusion;447
49.6;References;447
50; Voice-Based Automation Control Platform for Home Electrical Devices;449
50.1;1 Introduction;450
50.1.1;1.1 Background and Statement of the Problem;450
50.1.2;1.2 Purpose and Specific Objectives;450
50.1.3;1.3 Significance of the Study;451
50.1.4;1.4 Scope of the Study;451
50.2;2 Literature Review;451
50.2.1;2.1 Actor–Network Theory;451
50.2.2;2.2 Application of Voice Control and Automation Devices;451
50.2.3;2.3 Principles of Voice Control Systems;452
50.2.4;2.4 Voice-Based System for Home Communication;452
50.2.5;2.5 Voice-Controlled Smart Home;452
50.3;3 System Analysis and Design;453
50.3.1;3.1 Analysis of Existing System;453
50.3.2;3.2 Constraints of Existing Systems;453
50.3.3;3.3 Analysis of the Proposed System;454
50.3.4;3.4 Justification of the Proposed System;454
50.3.5;3.5 Method of the Proposed System;454
50.3.6;3.6 Design of the System;454
50.3.7;3.7 Architecture of the Proposed System;455
50.4;4 Implementation Architecture;457
50.5;5 Summary and Conclusion;458
50.5.1;5.1 Summary;458
50.5.2;5.2 Conclusion;459
50.6;6 Recommendations;459
50.7;References;459
51; Modeling and Simulation of Inertial Navigation System;460
51.1;1 Introduction;460
51.2;2 Result;467
51.3;3 Conclusion;469
51.4;References;469
52; Dual Watermarking for Colour Images’ Copyright and Authentication Using DWT Technique;471
52.1;1 Introduction;471
52.2;2 Related Work;472
52.3;3 Proposed Methodology;472
52.4;4 Results and Discussion;475
52.5;5 Conclusion;477
52.6;References;479
53; A Transition Toward Green IT: An Initiative;480
53.1;1 Introduction;480
53.2;2 Phases of Computing System;481
53.2.1;2.1 Designing [3];481
53.2.2;2.2 Manufacturing and Production;482
53.2.3;2.3 Packaging;482
53.2.4;2.4 Distribution;482
53.2.5;2.5 Use;482
53.2.6;2.6 Disposal [3];482
53.3;3 Minimizing Power Consumption;483
53.3.1;3.1 Hardware;483
53.3.2;3.2 Software;483
53.3.3;3.3 Basic;484
53.4;4 Conclusions;484
53.5;References;484
54; Vision-Based Real-Time Human–Computer Interaction on Hand Gesture Recognition;486
54.1;1 Introduction;487
54.2;2 Literature Review;487
54.2.1;2.1 Manipulative Gesture System;488
54.2.2;2.2 Semaphoric Gesture System;488
54.2.3;2.3 Conversational Gesture System;488
54.3;3 Methodology;489
54.3.1;3.1 Hand Segmentation;489
54.3.2;3.2 Background Subtraction;489
54.3.3;3.3 Threshold;489
54.3.4;3.4 Contour Extraction;489
54.3.5;3.5 Finger Tally;491
54.4;4 Result;492
54.5;5 Conclusion;493
54.6;References;493
55; Investigations of Rectangular Dielectric Resonating Antenna Excited by CPW Feed;495
55.1;1 Introduction;495
55.2;2 Method of Analysis;496
55.3;3 Proposed Antenna Design;498
55.4;4 Dimensions and Parameters;499
55.5;5 Results;500
55.6;6 Conclusion;503
55.7;References;505
56; Design and Performance Analysis of Circular Microstrip Patch Array (2?×?2) for S-Band Wireless Applications;506
56.1;1 Introduction;506
56.2;2 Model Design and Simulation;507
56.3;3 Result and Discussion;509
56.3.1;3.1 S11 Response;509
56.3.2;3.2 Bandwidth;509
56.3.3;3.3 VSWR;509
56.3.4;3.4 Antenna Gain;510
56.3.5;3.5 Radiation Pattern;511
56.4;4 Conclusion;512
56.5;References;513
57; A Secure Key Agreement Protocol for Data Communication in Public Network Based on the Diffie-Hellman Key Agreement Protocol;515
57.1;1 Introduction;515
57.2;2 Review on Lee and Lee Scheme;516
57.2.1;2.1 Key Establishment Phase;517
57.2.2;2.2 Key Validation Phase;517
57.3;3 Security Weakness in Lee and Lee Protocol;518
57.3.1;3.1 Man-in-the-Middle Attack;518
57.3.2;3.2 Reply Attack;519
57.3.3;3.3 Impersonate Attack;519
57.4;4 Proposed Work;519
57.4.1;4.1 Key Establishment Phase;520
57.4.2;4.2 Key Validation Phase;521
57.5;5 Security Analysis of High Secrecy Diffie-Hellman Key Agreement Protocol;522
57.5.1;5.1 Informal Verification;522
57.5.2;5.2 Formal Verification Using ProVerif;524
57.6;6 Performance Evolution;526
57.7;7 Conclusion;526
57.8;References;526
58; A Secure Steganographic Scheme Based on Chaotic Map and DNA Computing;528
58.1;1 Introduction;528
58.2;2 Preliminaries;529
58.2.1;2.1 LSB Substitution;529
58.2.2;2.2 The Chaotic Logistic Map;530
58.2.3;2.3 Encryption Using DNA Sequencing;530
58.3;3 The Proposed Scheme;531
58.3.1;3.1 The PRNS Generator;531
58.4;4 Experimental Results;532
58.4.1;4.1 Histogram;532
58.4.2;4.2 Mean Squared Error (MSE);532
58.4.3;4.3 Peak Signal-to-Noise Ratio (PSNR);533
58.4.4;4.4 Key Space Analysis;534
58.4.5;4.5 Coefficient Correlation Test;534
58.4.6;4.6 Information Entropy Analysis;534
58.4.7;4.7 Maximum Deviation;535
58.4.8;4.8 Irregular Deviation;535
58.5;5 Conclusion;535
58.6;References;536
59; Rice Disease Detection and Classification Using Deep Neural Network Algorithm;538
59.1;1 Introduction;538
59.2;2 Literature Survey;539
59.3;3 Proposed Method;539
59.3.1;3.1 Acquisition of Images;539
59.3.2;3.2 Preprocessing;540
59.3.3;3.3 K-Means Clustering for Segmentation;540
59.3.4;3.4 Extracting Features;540
59.3.5;3.5 Optimized DNN-Based Classification;542
59.4;4 Confusion Matrix;542
59.4.1;4.1 KNN;542
59.4.2;4.2 DNN Confusion Matrix;543
59.4.3;4.3 F1 Score;543
59.4.4;4.4 Precision;543
59.4.5;4.5 False Discovery Rate;545
59.4.6;4.6 False positive Rate;545
59.4.7;4.7 Negative Predict Value;546
59.4.8;4.8 Specificity;547
59.4.9;4.9 True Positive Rate;547
59.4.10;4.10 Accuracy;548
59.5;5 Conclusion;548
59.6;References;549
60; Relative Investigation of Methods to Generate Millimeter Wave in Radio-Over-Fiber Communication;550
60.1;1 Introduction;550
60.1.1;1.1 Millimeter Wave Communication in RoF Technology;551
60.2;2 Radio-Over-Fiber (ROF);552
60.3;3 Mach–Zehnder Modulator;553
60.4;4 Review of Modulation Techniques;554
60.5;5 Results and Discussion;554
60.6;6 Conclusion;555
60.7;References;556
61; A Compact Microstrip Patch Antenna for Mobile Communication Applications;558
61.1;1 Introduction;558
61.2;2 Antenna Design and Geometry;560
61.3;3 Results and Discussion;562
61.4;4 Conclusion;563
61.5;References;564
62; Microstrip Patch Antenna with Enhanced Gain for 2.4 GHz Wireless Local Area Network Applications;566
62.1;1 Introduction;566
62.2;2 Proposed Antenna Design;568
62.3;3 Results and Discussion;569
62.4;4 Conclusion;573
62.5;References;573
63; An Investigation on Drain Current of Junction and Junctionless Surrounding Gate MOSFET;575
63.1;1 Introduction;575
63.2;2 Device Structure;576
63.3;3 Result and Discussions;579
63.4;References;581
64; Improving the Performance of Video Content Genuineness Using Convolution Neural Network;582
64.1;1 Introduction;582
64.2;2 Background and Related Work;583
64.3;3 Problem Statement;584
64.4;4 Experimental Design;585
64.4.1;4.1 Training Data Set Selection;585
64.4.2;4.2 Proposed Model;585
64.4.3;4.3 Approach;586
64.5;5 Experimental Results;587
64.5.1;5.1 Accuracy for Different Training Sizes;587
64.5.2;5.2 Testing on Real-Time Video Data;589
64.6;6 Conclusion;591
64.7;References;591
65; A Novel IN-Gram Technique for Improving the Hate Speech Detection for Larger Datasets;592
65.1;1 Introduction;593
65.2;2 Related Work;593
65.3;3 Model Assumptions;594
65.3.1;3.1 Model Setup;595
65.3.2;3.2 Model Libraries;595
65.4;4 Proposed Methodology;595
65.4.1;4.1 PMI Technique;595
65.4.2;4.2 TF-IDF Technique;596
65.4.3;4.3 N-GRAM Technique;596
65.4.4;4.4 Improved N-Gram Technique (IN-Gram);597
65.5;5 Experimental Results;597
65.6;6 Conclusion;600
65.7;References;600
66; Design of Configurable Analog Block-Based Oscillator and Possible Applications;602
66.1;1 Introduction;602
66.2;2 Proposed Idea;603
66.2.1;2.1 CFOA-Based CAB;603
66.2.2;2.2 Quadrature Oscillator Using CAB;604
66.2.3;2.3 Oscillator Design;605
66.2.4;2.4 Oscillator Outputs;606
66.2.5;2.5 State of the Art Compared;606
66.3;3 Experimental and Simulation Results;607
66.4;4 Possible Applications;609
66.5;5 Conclusion;610
66.6;References;610
67; Enhanced Reliability of Polarity Controllable–Ferroelectric–FETs under the Impact of Fixed Trap Charges;612
67.1;1 Introduction;612
67.2;2 Device Structure and Simulation Scheme;613
67.3;3 Results and Discussions;614
67.4;References;619
68; Particle Swarm Optimization for Training Artificial Neural Network-Based Rainfall–Runoff Model, Case Study: Jardine River Basin;621
68.1;1 Introduction;621
68.2;2 Modeling Techniques;622
68.2.1;2.1 Gradient-Descent Algorithm;623
68.2.2;2.2 Particle Swarm Optimization (PSO);623
68.2.3;2.3 Model Evaluation Statistics;624
68.3;3 Model Development;624
68.4;4 Summary and Conclusion;626
68.5;References;627
69; Text Generation Using Long Short-Term Memory Networks;628
69.1;1 Introduction;628
69.2;2 Preliminaries;629
69.2.1;2.1 Recurrent Neural Networks;629
69.2.2;2.2 Long Short-Term Memory Networks (LSTMs);630
69.3;3 Related Work;631
69.4;4 Methodology;632
69.4.1;4.1 Data Collection and Preprocessing;632
69.4.2;4.2 Constructing the LSTM Model;632
69.4.3;4.3 Training and Hyper-Parameter Tuning;634
69.5;5 Results;634
69.6;6 Conclusion and Future Work;635
69.7;References;635
70; Socio-medic Drone with Integrated Defibrillator;637
70.1;1 Introduction;637
70.2;2 Related Works;638
70.3;3 Methodology;639
70.3.1;3.1 Hardware’s Required;640
70.3.2;3.2 Software Required;644
70.4;4 Results and Discussion;644
70.5;5 Conclusion;645
70.6;References;646
71; Big Data Processing Based on Machine Learning for Multi-user Environments;647
71.1;1 Introduction;647
71.2;2 A Background About BD;648
71.2.1;2.1 What Is BD?;648
71.2.2;2.2 Characteristics of BD;649
71.2.3;2.3 BD Software;650
71.2.4;2.4 BD Processing Framework Challenges;650
71.2.5;2.5 Technical Challenges;651
71.3;3 A Literature Review;652
71.4;4 The Methodology;652
71.4.1;4.1 The Proposed Algorithm;653
71.5;5 The Results;655
71.6;6 Conclusions;657
71.7;References;658
72; Integrating Chatbot Application with Qlik Sense Business Intelligence (BI) Tool Using Natural Language Processing (NLP);660
72.1;1 Introduction to Chatbot;660
72.1.1;1.1 Benefits of Chatbot;661
72.1.2;1.2 Business Intelligence (BI);661
72.1.3;1.3 Natural Language Processing (NPL);662
72.2;2 Literature Review;662
72.3;3 Chatbot Design Approach;663
72.3.1;3.1 Implementation Steps;664
72.3.2;3.2 Creating a .Net-Based Bot Service;665
72.4;4 Results and Discussion;666
72.5;5 Future Work;668
72.6;References;668
73; Area Efficient Multilayer Designs of XOR Gate Using Quantum Dot Cellular Automata;670
73.1;1 Introduction;670
73.2;2 Review of QCA;671
73.3;3 Proposed Multilayer XOR Structures;673
73.4;4 Design of Combinational Circuits;677
73.5;5 Conclusion;681
73.6;References;681
74; Improved Design of Digital IIR Second-Order Differentiator Using Genetic Algorithm;683
74.1;1 Introduction;683
74.2;2 Theory;684
74.3;3 Design Methodology;685
74.4;4 Simulated Results;685
74.5;5 Conclusion;685
74.6;References;688
75; Easy Synthesis of Nanostructures of ZnO and ZnS for Efficient UV Photodetectors;689
75.1;1 Introduction;689
75.2;2 Experimental Details;690
75.3;3 Results and Discussion;691
75.3.1;3.1 Structural, Morphological and Optical Properties;691
75.3.2;3.2 Photoconductivity Measurements;692
75.4;4 Conclusion;695
75.5;References;695
76; Smart Government E-Services for Indian Railways Using Twitter;697
76.1;1 Introduction;698
76.2;2 Methodology;699
76.2.1;2.1 Data Set Collection;700
76.2.2;2.2 Micro Post Enrichment Algorithm;700
76.2.3;2.3 Feature Extraction;702
76.2.4;2.4 Classifiers;703
76.3;3 Results and Discussion;705
76.4;4 Conclusion;706
76.5;References;707
77;Author Index;708
