Cognitive Computing Models in Communication Systems

• Autore: Kumar Budati Anil
• Pubblicazione: Newark : , : John Wiley & Sons, Incorporated, , 2022; ©2023
• Descrizione fisica: 1 online resource (243 pages)
• Soggetto genere / forma: Electronic books.
• Altri autori: GoyalS. B IslamSardar M. N
• Nota di contenuto: Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgement -- 1 Design of a Low-Voltage LDO of CMOS Voltage Regulator for Wireless Communications -- 1.1 Introduction -- 1.2 LDO Controller Arrangement and Diagram Drawing -- 1.2.1 Design of the LDO Regulator -- 1.2.1.1 Design of the Fault Amplifier -- 1.2.1.2 Design of the MPT Phase -- 1.3 Conclusion -- References -- 2 Performance Analysis of Machine Learning and Deep Learning Algorithms for Smart Cities: The Present State and Future Directions -- 2.1 Introduction -- 2.2 Smart City: The Concept -- 2.3 Application Layer -- 2.3.1 Smart Homes and Buildings -- 2.3.1.1 Smart Surveillance -- 2.3.2 Smart Transportation and Driving -- 2.3.3 Smart Healthcare -- 2.3.4 Smart Parking -- 2.3.5 Smart Grid -- 2.3.6 Smart Farming -- 2.3.7 Sensing Layer -- 2.3.8 Communication Layer -- 2.3.9 Data Layer -- 2.3.10 Security Layer -- 2.4 Issues and Challenges in Smart Cities: An Overview -- 2.5 Machine Learning: An Overview -- 2.5.1 Supervised Learning -- 2.5.2 Support Vector Machines (SVMs) -- 2.5.3 Artificial Neural Networks -- 2.5.4 Random Forest -- 2.5.5 Naïve Bayes -- 2.6 Unsupervised Learning -- 2.7 Deep Learning: An Overview -- 2.7.1 Autoencoder -- 2.7.2 Convolution Neural Networks (CNNs) -- 2.7.3 Recurrent Neural Networks (RNNs) -- 2.8 Deep Learning vs Machine Learning -- 2.9 Smart Healthcare -- 2.9.1 Evolution Toward a Smart Healthcare Framework -- 2.9.2 Application of ML/DL in Smart Healthcare -- 2.10 Smart Transport System -- 2.10.1 Evolution Toward a Smart Transport System -- 2.10.2 Application of ML/DL in a Smart Transportation System -- 2.11 Smart Grids -- 2.11.1 Evolution Toward Smart Grids -- 2.11.2 Application of ML/DL in Smart Grids -- 2.12 Challenges and Future Directions -- 2.13 Conclusion -- References. ; 3 Application of Machine Learning Algorithms and Models in 3D Printing -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Methods and Materials -- 3.4 Results and Discussion -- 3.5 Conclusion -- References -- 4 A Novel Model for Optimal Reliable Routing Path Prediction in MANET -- 4.1 Introduction -- 4.2 Analytical Hierarchical Process Technique -- 4.3 Mathematical Models and Protocols -- 4.3.1 Rough Sets -- 4.3.1.1 Pawlak Rough Set Theory Definitions -- 4.3.2 Fuzzy TOPSIS -- 4.4 Routing Protocols -- 4.4.1 Classification of Routing Paths -- 4.5 RTF-AHP Model -- 4.5.1 Rough TOPSIS Fuzzy Set Analytical Hierarchical Process Algorithm -- 4.6 Models for Optimal Routing Performance -- 4.6.1 Genetic Algorithm Technique -- 4.6.2 Ant Colony Optimization Technique -- 4.6.3 RTF-AHP Model Architecture Flow -- 4.7 Results and Discussion -- 4.8 Conclusion -- References -- 5 IoT-Based Smart Traffic Light Control -- 5.1 Introduction -- 5.2 Scope of the Proposed Work -- 5.3 Proposed System Implementation -- 5.4 Testing and Results -- 5.5 Test Results -- 5.6 Conclusions -- References -- 6 Differential Query Execution on Privacy Preserving Data Distributed Over Hybrid Cloud -- 6.1 Introduction -- 6.2 Related Work -- 6.3 Proposed Solution -- 6.3.1 Data Transformation -- 6.3.2 Data Distribution -- 6.3.3 Query Execution -- 6.4 Novelty in the Proposed Solution -- 6.5 Results -- 6.6 Conclusion -- References -- 7 Design of CMOS Base Band Analog -- 7.1 Introduction -- 7.2 Proposed Technique of the BBA Chain for Reducing Energy Consumption -- 7.3 Channel Preference Filter -- 7.4 Programmable Amplifier Gain -- 7.5 Executed Outcomes -- 7.6 Conclusion -- References -- 8 Review on Detection of Neuromuscular Disorders Using Electromyography -- 8.1 Introduction -- 8.2 Materials -- 8.3 Methods -- 8.4 Conclusion -- References. ; 9 Design of Complementary Metal- Oxide Semiconductor Ring Modulator by Built-In Thermal Tuning -- 9.1 Introduction -- 9.2 Device Structure -- 9.3 DC Performance -- 9.4 Small-Signal Radiofrequency Assessments -- 9.5 Data Modulation Operation (High Speed) -- 9.6 Conclusions and Acknowledgments -- References -- 10 Low-Power CMOS VCO Used in RF Transmitter -- 10.1 Introduction -- 10.2 Transmitter Architecture -- 10.3 Voltage-Controlled Ring Oscillator Design -- 10.4 CMOS Combiner -- 10.5 Conclusion -- References -- 11 A Novel Low-Power FrequencyModulated Continuous Wave Radar Based on Low-Noise Mixer -- 11.1 Introduction -- 11.2 FMCW Principle -- 11.3 Results -- 11.4 Conclusion -- References -- 12 A Highly Integrated CMOS RF Tx Used for IEEE 802.15.4 -- 12.1 Introduction -- 12.2 Related Work -- 12.3 Simulation Results and Discussion -- 12.4 Conclusion -- References -- 13 A Novel Feedforward Offset Cancellation Limiting Amplifier in Radio Frequencies -- 13.1 Introduction -- 13.2 Hardware Design -- 13.2.1 Limiting Amplifier -- 13.2.2 Offset Extractor -- 13.2.3 Architecture and Gain -- 13.2.4 Quadrature Detector -- 13.2.5 Sensitivity -- 13.3 Experimental Results -- 13.4 Conclusion -- References -- 14 A Secured Node Authentication and Access Control Model for IoT Smart Home Using Double-Hashed Unique Labeled Key-Based Validation -- 14.1 Introduction -- 14.2 Challenges in IoT Security and Privacy -- 14.2.1 Heterogeneous Communication and Devices -- 14.2.2 Physical Equipment Integration -- 14.2.3 Resource Handling Limitations -- 14.2.4 Wide Scale -- 14.2.5 Database -- 14.3 Background -- 14.4 Proposed Model -- 14.4.1 Communication Flow -- 14.4.1.1 IoT Node and Registration Authority -- 14.4.1.2 User and Local Authorization Authority -- 14.5 Results -- 14.6 Conclusion -- 14.7 Claims -- References -- Index -- EULA.
• Titolo autorizzato: Cognitive Computing Models in Communication Systems
• ISBN: 1-119-86560-3; 1-119-86559-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910623988303321
• Lo trovi qui: Univ. Federico II
• Serie: Smart and Sustainable Intelligent Systems Ser.