Cognitive Computing Models in Communication Systems

ISBN-13: 9781119865070 / Angielski / Twarda / 2022 / 350 str.

Kumar

Spis treści

Preface xiAcknowledgement xiii1 Design of a Low-Voltage LDO of CMOS Voltage Regulator for Wireless Communications 1S. Pothalaiah, Dayadi Lakshmaiah, B. Prabakar Rao, D. Nageshwar Rao, Mohammad Illiyas and G. Chandra Sekhar1.1 Introduction 21.2 LDO Controller Arrangement and Diagram Drawing 21.2.1 Design of the LDO Regulator 41.2.1.1 Design of the Fault Amplifier 41.2.1.2 Design of the MPT Phase 81.3 Conclusion 14References 142 Performance Analysis of Machine Learning and Deep Learning Algorithms for Smart Cities: The Present State and Future Directions 15Pradeep Bedi, S. B. Goyal, Sardar MN Islam, Jia Liu and Anil Kumar Budati2.1 Introduction 162.2 Smart City: The Concept 162.3 Application Layer 182.3.1 Smart Homes and Buildings 182.3.1.1 Smart Surveillance 182.3.2 Smart Transportation and Driving 192.3.3 Smart Healthcare 192.3.4 Smart Parking 192.3.5 Smart Grid 192.3.6 Smart Farming 192.3.7 Sensing Layer 202.3.8 Communication Layer 202.3.9 Data Layer 202.3.10 Security Layer 212.4 Issues and Challenges in Smart Cities: An Overview 212.5 Machine Learning: An Overview 222.5.1 Supervised Learning 222.5.2 Support Vector Machines (SVMs) 222.5.3 Artificial Neural Networks 232.5.4 Random Forest 242.5.5 Naïve Bayes 252.6 Unsupervised Learning 262.7 Deep Learning: An Overview 262.7.1 Autoencoder 272.7.2 Convolution Neural Networks (CNNs) 272.7.3 Recurrent Neural Networks (RNNs) 282.8 Deep Learning vs Machine Learning 292.9 Smart Healthcare 302.9.1 Evolution Toward a Smart Healthcare Framework 302.9.2 Application of ML/DL in Smart Healthcare 312.10 Smart Transport System 332.10.1 Evolution Toward a Smart Transport System 332.10.2 Application of ML/DL in a Smart Transportation System 342.11 Smart Grids 362.11.1 Evolution Toward Smart Grids 362.11.2 Application of ML/DL in Smart Grids 382.12 Challenges and Future Directions 402.13 Conclusion 41References 413 Application of Machine Learning Algorithms and Models in 3D Printing 47Chetanpal Singh3.1 Introduction 483.2 Literature Review 503.3 Methods and Materials 653.4 Results and Discussion 693.5 Conclusion 70References 724 A Novel Model for Optimal Reliable Routing Path Prediction in MANET 75S.R.M. Krishna, S. Pothalaiah and R. Santosh4.1 Introduction 764.2 Analytical Hierarchical Process Technique 774.3 Mathematical Models and Protocols 784.3.1 Rough Sets 784.3.1.1 Pawlak Rough Set Theory Definitions 784.3.2 Fuzzy TOPSIS 794.4 Routing Protocols 804.4.1 Classification of Routing Paths 804.5 RTF-AHP Model 814.5.1 Rough TOPSIS Fuzzy Set Analytical Hierarchical Process Algorithm 814.6 Models for Optimal Routing Performance 834.6.1 Genetic Algorithm Technique 844.6.2 Ant Colony Optimization Technique 844.6.3 RTF-AHP Model Architecture Flow 844.7 Results and Discussion 854.8 Conclusion 88References 885 IoT-Based Smart Traffic Light Control 91Sreenivasa Rao Ijjada and K. Shashidhar5.1 Introduction 925.2 Scope of the Proposed Work 935.3 Proposed System Implementation 945.4 Testing and Results 995.5 Test Results 1005.6 Conclusion 104References 1056 Differential Query Execution on Privacy Preserving Data Distributed Over Hybrid Cloud 107Sridhar Reddy Vulapula, P. V. S. Srinivas and Jyothi Mandala6.1 Introduction 1076.2 Related Work 1086.3 Proposed Solution 1106.3.1 Data Transformation 1106.3.2 Data Distribution 1136.3.3 Query Execution 1146.4 Novelty in the Proposed Solution 1156.5 Results 1156.6 Conclusion 119References 1207 Design of CMOS Base Band Analog 123S. Pothalaiah, Dayadi Lakshmaiah, Bandi Doss, Nookala Sairam and K. Srikanth7.1 Introduction 1247.2 Proposed Technique of the BBA Chain for Reducing Energy Consumption 1257.3 Channel Preference Filter 1307.4 Programmable Amplifier Gain 1327.5 Executed Outcomes 1337.6 Conclusion 135References 1358 Review on Detection of Neuromuscular Disorders Using Electromyography 137G. L. N. Murthy, Rajesh Babu Nemani, M. Sambasiva Reddy and M. K. Linga Murthy8.1 Introduction 1388.2 Materials 1398.3 Methods 1408.4 Conclusion 142References 1429 Design of Complementary Metal-Oxide Semiconductor Ring Modulator by Built-In Thermal Tuning 145P. Bala Murali Krishna, Satish A., R. Yadgiri Rao, Mohammad Illiyas and I. Satya Narayana9.1 Introduction 1469.2 Device Structure 1479.3 dc Performance 1499.4 Small-Signal Radiofrequency Assessments 1499.5 Data Modulation Operation (High Speed) 1509.6 Conclusions and Acknowledgments 152References 15310 Low-Power CMOS VCO Used in RF Transmitter 155D. Subbarao, Dayadi Lakshmaiah, Farha Anjum, G. Madhu Sudhan Rao and G. Chandra Sekhar10.1 Introduction 15610.2 Transmitter Architecture 15710.3 Voltage-Controlled Ring Oscillator Design 15810.4 CMOS Combiner 16110.5 Conclusion 163References 16311 A Novel Low-Power Frequency-Modulated Continuous Wave Radar Based on Low-Noise Mixer 165Dayadi Lakshmaiah, Bandi Doss, J.V.B. Subrmanyam, M.K. Chaitanya, Suresh Ballala, R. Yadagirir Rao and I. Satya Narayana11.1 Introduction 16611.2 FMCW Principle 16811.3 Results 17411.4 Conclusion 178References 17912 a Highly Integrated Cmos Rf T XUsed for IEEE 802.15.4 181Dayadi Lakshmaiah, Subbarao, C.H. Sunitha, Nookala Sairam and S. Naresh12.1 Introduction 18212.2 Related Work 18212.3 Simulation Results and Discussion 18512.4 Conclusion 186References 18713 A Novel Feedforward Offset Cancellation Limiting Amplifier in Radio Frequencies 189Dayadi Lakshmaiah, L. Koteswara Rao, I. Satya Narayana, B. Rajeshwari and I. Venu13.1 Introduction 19013.2 Hardware Design 19013.2.1 Limiting Amplifier 19013.2.2 Offset Extractor 19213.2.3 Architecture and Gain 19213.2.4 Quadrature Detector 19213.2.5 Sensitivity 19413.3 Experimental Results 19513.4 Conclusion 195References 19614 A Secured Node Authentication and Access Control Model for IoT Smart Home Using Double-Hashed Unique Labeled Key-Based Validation 199Sulaima Lebbe Abdul Haleem14.1 Introduction 20014.2 Challenges in IoT Security and Privacy 20314.2.1 Heterogeneous Communication and Devices 20314.2.2 Physical Equipment Integration 20414.2.3 Resource Handling Limitations 20414.2.4 Wide Scale 20414.2.5 Database 20414.3 Background 20914.4 Proposed Model 21014.4.1 Communication Flow 21414.4.1.1 IoT Node and Registration Authority 21414.4.1.2 User and Local Authorization Authority 21514.5 Results 21514.6 Conclusion 21814.7 Claims 218References 219Index 221

O autorze

Budati Anil Kumar, PhD, is an associate professor in the ECE Department, Gokaraju Rangaraju Institute of Engineering & Technology (Autonomous), Hyderabad, India. He has more than 12 years of experience in teaching and six years of experience in research and has published more than 50 research articles in journals and conferences. His current research interests include cognitive radio networks, software-defined radio networks, artificial intelligence, 6G emerging technologies, mulsemedia computing, and UAVs in 5G and 6G.S. B. Goyal, PhD, is Director, Faculty of Information Technology, City University, Malaysia. He has more than 20 experience and has published 100+ papers in journals and conferences.Sardar M.N. Islam, PhD, is Director of Decision Sciences and Modelling Program at Victoria University, Australia. He has authored 31scholarly academic books in different disciplines, as well as more than 250 journal articles in his specialized research areas.