Mobile radio communications and 5G networks : proceedings of second MRCN 2021 / / edited by Nikhil Marriwala, [and three others]

• Pubblicazione: Singapore : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (687 pages)
• Disciplina: 025.063510941
• Soggetto topico: 5G mobile communication systems
• Persona (resp. second.): MarriwalaNikhil
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Contents -- Editors and Contributors -- Manual and Automatic Control of Appliances Based on Integration of WSN and IOT Technology -- 1 Introduction -- 2 Related Work -- 2.1 Existing System -- 3 Proposed System -- 4 Hardware Implementation -- 4.1 Aurdino UNO -- 4.2 Bluetooth -- 4.3 PIR -- 4.4 Metal Detector -- 4.5 LDR Sensor -- 4.6 Water Level Sensor -- 4.7 Relay Module -- 4.8 GSM -- 5 Conclusion -- References -- Face Recognition System Based on Convolutional Neural Network (CNN) for Criminal Identification -- 1 Introduction -- 1.1 Convolution -- 1.2 ReLU -- 1.3 Pooling -- 2 Literature Survey -- 2.1 Uchôa, Britto, Veras, Aires and Paiva [1] -- 2.2 Srivastava, Dubey and Murali [2] -- 2.3 Mr. Deepak B. Desai, Prof. Kavitha S. N. [3] -- 2.4 Radhika C. and Bazeshree V. [4] -- 2.5 C. Nagpal and S. R. Dubey [5] -- 2.6 E. Winarno, H. Februariyanti, Anwar and I. H. Al Amin [6] -- 2.7 Yinfa Yan, Cheng Li, Yuanyuan Lu [7] -- 2.8 Anugrah Bintang Perdana, Adhi Prahara [8] -- 3 Implementation and Result Analysis -- 4 Conclusion -- References -- A Novel Support Vector Machine-Red Deer Optimization Algorithm for Enhancing Energy Efficiency of Spectrum Sensing in Cognitive Radio Network -- 1 Introduction -- 2 Related Works -- 3 Energy-Efficient Optimization Factor -- 3.1 The EE Through Spectrum Sensing and Data Transfer in Terms of Overall Opportunistic Throughput and Energy Utilization -- 3.2 System Model for Sensing the Spectrum -- 4 Description of Conventional Red Deer Algorithm and Support Vector Machine -- 4.1 Red Deer Algorithm -- 4.2 Support Vector Machine (SVM) -- 5 Proposed Methodology: Support Vector Machine-Red Deer Algorithm (SVM-RDA) -- 6 Simulation Results -- 6.1 Simulation Results of the Optimization Algorithms -- 7 Conclusion -- References. ; Deceptive Product Review Identification Framework Using Opinion Mining and Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experimental Results -- 5 Feature Extraction -- 6 Conclusion -- References -- Detecting Six Different Types of Thyroid Diseases Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Objective -- 4 Motivation -- 5 Existing System -- 6 Proposed System -- 7 Architecture Diagram -- 8 Modules -- 9 Algorithm -- 10 Flow Chart -- 11 Workflow -- 12 Conclusion -- References -- Random Forest Classifier Used for Modelling and Classification of Herbal Plants Considering Different Features Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Image Acquisition -- 3.2 Preprocessing -- 3.3 Feature Extraction -- 3.4 Classification -- 3.5 Performance Evaluation -- 4 Result and Discussion -- 4.1 Discussion (Using Random Forest Model) -- 5 Conclusion -- References -- EEG Based Emotion Classification Using Xception Architecture -- 1 Introduction -- 2 Related Work -- 2.1 Xception Model -- 3 Materials and Methods -- 3.1 Proposed Methodology -- 3.2 Dataset -- 3.3 Implementation -- 4 Results -- 5 Conclusion -- References -- Automated Discovery and Patient Monitoring of nCOVID-19: A Multicentric In Silico Rapid Prototyping Approach -- 1 Introduction -- 2 Related Works -- 3 Proposed Algorithm and Methodology -- 3.1 Training of Network -- 3.2 Algorithms Used -- 4 Empirical Results -- 5 Conclusion and Future Research Directions -- References -- Estimation of Location and Fault Types Detection Using Sequence Current Components in Distribution Cable System Using ANN -- 1 Introduction -- 2 MATLAB Simulink Model of Distribution Underground Cable -- 3 Collection of DATA -- 4 Simulation Results -- 5 Conclusion -- References. ; LabVIEW Implemented Smart Security System Using National Instruments myRIO -- 1 Introduction -- 2 Technical Approach -- 3 Methodology -- 3.1 Module 1: Buzzer Code -- 3.2 Module 2: Camera Code -- 3.3 Module 3: Email Code -- 4 Experimental Results -- 4.1 Detection of the Movement -- 4.2 Streaming Video Being Recorded -- 4.3 Mail Attachment to the Registered Account -- 5 Conclusion -- References -- Design and Analysis of Modified Sense Amplifier-Based 6/3T SRAM Using CMOS 45 nm Technology -- 1 Literature Survey -- 2 Introduction -- 3 Implementation -- 3.1 Conventional Sense Amplifier -- 4 Experimental Results Comparison -- 5 Conclusion and Future Scope -- References -- Design and Implementation of Low Power GDI-LFSR at Low-Static Power Consumption -- 1 Introduction -- 2 Literature Survey -- 3 Implementation -- 3.1 CMOS D Flip Flop -- 3.2 CMOS GDI Linear Feedback Shift Register (LFSR) -- 3.3 IDDQ Test -- 4 Conclusion -- References -- Lion Optimization Algorithm for Antenna Selection in Cognitive Radio Networks -- 1 Introduction -- 2 Lion Optimization Algorithm -- 3 LOA for Transmit Antenna Selection(TAS) in Cognitive Radio Networks -- 4 Results -- 5 Conclusions and Future Scope -- References -- Sub-band Selection-Based Dimensionality Reduction Approach for Remote Sensing Hyperspectral Images -- 1 Introduction -- 2 Literature Survey -- 3 High Dimensional Reduction Technique -- 3.1 Feature Selection -- 3.2 Feature Extraction -- 4 Results and Discussion -- 4.1 Salinas Dataset -- 4.2 Sub-band Selection -- 5 Conclusion -- References -- An Efficient Network Intrusion Detection System Based on Feature Selection Using Evolutionary Algorithm Over Balanced Dataset -- 1 Introduction -- 2 Related Work -- 3 Dataset Used -- 3.1 NSL KDD Dataset -- 4 Intrusion Detection Process -- 4.1 Data Preprocessing -- 4.2 Data Sampling -- 4.3 Feature Selection -- 4.4 Classification. ; 5 Results and Discussion -- 5.1 Impact of Class Imbalance -- 5.2 Performance of the Proposed Work -- 6 Conclusion -- References -- A Novel Hybrid Imputation Method to Predict Missing Values in Medical Datasets -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Methodology -- 3.2 State-of-the-Art Imputation Methods -- 3.3 Classifiers -- 3.4 Performance Parameter -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References -- Optimal LQR and Smith Predictor Based PID Controller Design for NMP System -- 1 Introduction -- 2 Description of Non-minimum Phase System -- 3 PID Controller -- 3.1 Ziegler-Nichols (Z-N) and Related Methods -- 3.2 The Chein, Hrones and Reswick Method -- 4 The Smith Predictor General Structure -- 5 Linear Quadratic Regulator (LQR) -- 6 Results and Discussions -- 7 Conclusion -- References -- Detection of Cracks in Surfaces and Materials Using Convolutional Neural Network -- 1 Introduction -- 1.1 Types of Concrete Cracks -- 1.2 Types of Cracks on Mechanical Components -- 1.3 Effects of Crack in Structures -- 2 Literature Review -- 3 Objectives -- 4 Proposed Solution -- 4.1 CNN -- 5 Methodology -- 5.1 Stage 1 -- 5.2 Stage 2 -- 5.3 Stage 3 -- 6 Experimental Results -- 6.1 Images with Crack -- 6.2 Images Without Crack -- 7 Conclusion -- References -- Performance Analysis of TDM-PON and WDM-PON -- 1 Introduction -- 2 Optical Network -- 3 System Modeling -- 3.1 TDM-PON -- 3.2 Unidirectional WDM-PON -- 4 Results and Discussion -- 4.1 Performance Analysis of Unidirectional TDM-PON -- 4.2 Performance Analysis of Unidirectional WDM-PON -- 5 Conclusion -- References -- Detection of Microcalcifications in Mammograms Using Edge Detection Operators and Clustering Algorithms -- 1 Introduction -- 2 Related Work -- 3 Preprocessing -- 3.1 Brightness Preserving Bi-Histogram Equalization (BBHE) -- 4 Segmentation. ; 4.1 Fuzzy C-Means Clustering -- 4.2 K-Means Clustering -- 5 Experimental Analysis -- 6 Conclusion and Future Scope -- References -- Analysis of the Proposed CNN Model for the Recognition of Gurmukhi Handwritten City Names of Punjab -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Digitization and Pre-processing -- 2.3 Processing -- 3 Experiments and Results -- 3.1 Recognition Results Achieved by Using LR of 0.00001 -- 3.2 Recognition Results Achieved by Using LR of 0.0001 -- 3.3 Recognition Results Achieved by Using LR of 0.001 -- 3.4 Recognition Results Achieved by Using LR of 0.01 -- 3.5 Recognition Results Achieved by Using LR of 0.1 -- 4 Comparative Analysis of Different LRs -- 5 Conclusion -- References -- Modeling and Analysis of Positive Feedback Adiabatic Logic CMOS-Based 2:1 Mux and Full Adder and Its Power Dissipation Consideration -- 1 Introduction -- 2 PFAL Design and Modeling -- 3 Results and Discussions -- 4 Conclusion -- References -- A Smart Healthcare System Based on Classifier DenseNet 121 Model to Detect Multiple Diseases -- 1 Introduction -- 1.1 Deep Learning -- 1.2 Background -- 2 Related Works -- 3 Materials and Methods -- 3.1 Pathology Chest X-Ray Dataset and Specification -- 3.2 Preprocessing of Data -- 3.3 Transfer Learning -- 3.4 Model Deployment -- 4 Results and Discussions -- 5 Conclusion and Future Work Scope -- References -- An Effective Algorithm of Remote Sensing Image Fusion Based on Discrete Wavelet Transform -- 1 Introduction -- 1.1 Continuous Wavelet Transforms (CWT) -- 1.2 Discrete Wavelet Transforms (DWT) -- 2 Wavelets for 2D Signals -- 3 Proposed Model -- 4 Image Fusion Using Different Fusion Arithmetic Operations -- 5 Conclusion -- References -- QoS-Based Load Balancing in Fog Computing -- 1 Introduction -- 2 Related Work -- 3 Proposed Architecture -- 3.1 Success Rate of Node i (SVi). ; 3.2 VM Availability (VAi).
• Titolo autorizzato: Mobile radio communications and 5G networks
• ISBN: 981-16-7017-X; 981-16-7018-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910743239503321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems