IoT Based Control Networks and Intelligent Systems : Proceedings of 4th ICICNIS 2023 / / edited by P. P. Joby, Marcelo S. Alencar, Przemyslaw Falkowski-Gilski

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
• Edizione: 1st ed. 2024.
• Descrizione fisica: 1 online resource (XXIV, 793 p. 382 illus., 304 illus. in color.)
• Disciplina: 629.8
• Soggetto topico: Telecommunication; Control engineering; Robotics; Automation; Computational intelligence; Artificial intelligence; Communications Engineering, Networks; Control, Robotics, Automation; Computational Intelligence; Artificial Intelligence
• Persona (resp. second.): JobyP. P.; AlencarMarcelo S.; Falkowski-GilskiPrzemyslaw
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Contents -- Editors and Contributors -- A Comparative Analysis of ISLRS Using CNN and ViT -- 1 Introduction -- 2 Literatures -- 3 Methodology -- 3.1 Dataset -- 3.2 Custom CNN Model -- 3.3 Vision Transformer -- 4 Results and Discussion -- 5 Conclusion and Scope of Future Work -- References -- Vehicle Information Management System Using Hyperledger Fabric -- 1 Introduction -- 2 Existing Vehicle Registration System -- 3 Existing Techniques for Vehicle Registration Using Blockchain -- 4 Proposed Scheme -- 4.1 New Vehicle Registration -- 4.2 Query -- 4.3 Interstate Vehicle Transfer -- 5 Implementation -- 6 Result -- 6.1 Performance Evaluation of Query Smart Contract -- 6.2 Performance Evaluation of CreateVehicle() Smart Contract -- 6.3 Performance Evaluation of Transfer(): Smart Contract -- 7 Conclusion and Future Work -- References -- S-SCRUM-Methodology for Software Securitisation at Agile Development. Application to Smart University -- 1 Introduction -- 2 Security SCRUM -- 2.1 The Role of the Security Expert -- 2.2 Security Analysis Process -- 3 S-SCRUM in Smart University -- 3.1 Sprint Securitisation-APR-Publish API Rest -- 3.2 Results of Implementing S-SCRUM at Smart University -- 4 Contributions and Lessons Learned -- 5 Conclusions -- References -- Energy-Efficient Reliable Communication Routing Using Forward Relay Selection Algorithm for IoT-Based Underwater Networks -- 1 Introduction -- 2 Underwater Sensor Network Architecture, Key Issues, and Challenges -- 2.1 Power Consumption -- 2.2 High Propagation Delay -- 2.3 Low Security -- 2.4 Navigation -- 2.5 Multipath Weakening -- 2.6 Link Budget -- 2.7 Synchronization -- 2.8 Channel Utilization -- 3 Related Works -- 4 Proposed Methodology -- 5 Results and Discussion -- 6 Conclusion -- References -- Deep Learning Approach based Plant Seedlings Classification with Xception Model. ; 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Data Preprocessing -- 4 Methods-Deep Pretrained Models -- 5 Results Analysis -- 5.1 Aarhus Dataset -- 5.2 Experimental Results -- 6 Performance Analysis on Aarhus Dataset -- 7 Conclusion -- References -- Improving Node Energy Efficiency in Wireless Sensor Networks (WSNs) Using Energy Efficiency-Based Clustering Adaptive Routing Scheme -- 1 Introduction -- 2 Related Works -- 3 Materials and Method -- 3.1 Node Initialization and Formation of Cluster -- 3.2 Influencing Cluster Routing Protocol -- 3.3 Time Energy Efficiency-Based Clustering Adaptive Routing Scheme (EECARS) -- 4 Result and Discussion -- 5 Conclusion -- References -- An Evaluation of Prediction Method for Educational Data Mining Based on Dimensionality Reduction -- 1 Introduction -- 2 Related Study -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Data Preprocessing -- 3.3 Implemented Model -- 3.4 Principal Component Analysis -- 3.5 Linear Discriminant Analysis -- 3.6 Logistic Regression -- 4 Experimental Result -- 4.1 Employing Different Algorithms for Comparison -- 5 Discussion -- 6 Conclusion and Future Work -- References -- High-Performance Intelligent System for Real-Time Medical Image Using Deep Learning and Augmented Reality -- 1 Introduction -- 2 Related Works -- 3 Dataset Description -- 4 Methodology -- 4.1 Convolutional Neural Network -- 4.2 Brain Hemorrhage -- 4.3 Eye Retinopathy -- 4.4 Architectural Diagram -- 5 Experiment -- 6 Results and Discussion -- 7 Conclusion -- 8 Future Work -- References -- Diabetic Retinopathy Detection Using Machine Learning Techniques and Transfer Learning Approach -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Dataset -- 3.2 Preprocessing -- 3.3 Machine Learning Techniques -- 3.4 Transfer Learning Techniques -- 4 Result Analysis -- 4.1 Binary Classification. ; 4.2 Multiclass Classification -- 5 Conclusion -- References -- Recommender System of Site Information Content for Optimal Display in Search Engines -- 1 Introduction -- 2 Review of Methods for Attracting New Customers Using Online Search Engines -- 3 Results and Discussion -- 4 Conclusions -- References -- Development of IoT-Based Vehicle Speed Infringement and Alcohol Consumption Detection System -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Working -- 4 Result Analysis -- 5 Conclusion -- References -- Phonocardiogram Identification Using Mel Frequency and Gammatone Cepstral Coefficients and an Ensemble Learning Classifier -- 1 Introduction -- 2 Materials and Method -- 2.1 Database -- 2.2 Preprocessing -- 3 Features Extraction -- 3.1 Mel Frequency Cepstral Coefficients MFCC -- 3.2 Gammatone Cepstral Coefficients GTCC -- 4 Classification -- 5 Results and Discussion -- 6 Conclusion -- References -- Automatic Conversion of Image Design into HTML and CSS -- 1 Introduction -- 2 Related Work -- 3 Tools for Creating and Converting the Design into Code -- 4 Converting Image Design into HTML/CSS -- 4.1 Step 1-Create a Graphic Design Mockup -- 4.2 Step 2-Convert a Graphic Design Mockup to HTML/CSS -- 5 Conclusion -- References -- Customizing Arduino LMiC Library Through LEAN and Scrum to Support LoRaWAN v1.1 Specification for Developing IoT Prototypes -- 1 Introduction -- 2 Methodology -- 3 Proposed Work -- 3.1 Identification -- 3.2 Planning -- 3.3 Execution -- 3.4 Review -- 4 Result Analysis -- 4.1 LoRaWAN v1.1 Class A OTAA Unconfirmed Uplinks -- 4.2 LoRaWAN v1.1 Class A ABP Confirmed Uplinks -- 4.3 LoRaWAN v1.1 Class A ABP Confirmed Downlinks -- 4.4 LoRaWAN v1.1 Key Persistence and Device Restart -- 4.5 LoRaWAN v1.0 Class A ABP Versus LoRaWAN v1.1 Class A ABP -- 5 Conclusions -- References. ; Prevention of Wormhole Attack Using Mobile Secure Neighbour Discovery Protocol in Wireless Sensor Networks -- 1 Introduction -- 2 Related Works -- 3 System Model -- 3.1 Threat Model -- 3.2 Problem Formulation -- 4 Proposed Method -- 4.1 Ranging -- 5 Security Analysis -- 6 Result and Discussion -- 7 Conclusion -- References -- Comparison of Feature Extraction Methods Between MFCC, BFCC, and GFCC with SVM Classifier for Parkinson's Disease Diagnosis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Database -- 2.2 Feature Extraction Techniques -- 2.3 Classification Methods -- 2.4 The Proposed Algorithm -- 2.5 Evaluation Metrics -- 3 Results and Discussion -- 4 Conclusion -- References -- A Comprehensive Study on Artificial Intelligence-Based Face Recognition Technologies -- 1 Introduction -- 2 Related Work -- 3 Techniques Used -- 3.1 Deep Convolutional Neural Networks -- 3.2 Deep Face -- 3.3 VGG-Face -- 3.4 Capsule Networks -- 3.5 3D Face Recognition -- 3.6 Principal Component Analysis -- 3.7 Linear Discriminant Analysis -- 3.8 FaceNet -- 4 Proposed Model -- 4.1 Future Scope in Proposed Model -- 5 Application -- 6 Conclusion -- References -- Design of IoT-Based Smart Wearable Device for Human Safety -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Working -- 4 Result -- 5 Conclusion and Future Enhancement -- References -- Detection of Artery/Vein in Retinal Images Using CNN and GCN for Diagnosis of Hypertensive Retinopathy -- 1 Introduction -- 2 Related Work -- 2.1 Segmentation of Blood Vessels -- 2.2 Classification of Artery/Vein -- 2.3 Classification of HR -- 3 Proposed Method -- 3.1 Datasets -- 3.2 Preprocessing -- 3.3 Segmentation of Blood Vessels -- 3.4 Classification of Artery/Vein Using Graph Convolutional Network (GCN) -- 4 Computation of AVR -- 5 Grading of HR -- 6 Experiments and Results -- 6.1 Determine of Parameters. ; 6.2 Results and Discussion -- 7 Conclusion -- References -- An Evolutionary Optimization Based on Clustering Algorithm to Enhance VANET Communication Services -- 1 Introduction -- 1.1 VANET Overview -- 1.2 Various Optimization Techniques in VANET -- 1.3 Clustering Optimization -- 2 Related Research -- 3 Challenges -- 3.1 Clustering -- 4 Objective -- 5 Proposed Methodology of Honey Badger Algorithm in the VANET Approach -- 5.1 General Biology of the Honey Badger -- 5.2 Inspiration -- 5.3 Mathematical Framework -- 6 Performance Analysis Metrics -- 6.1 Packet Delivery Ratio (PDR) -- 6.2 End-to-End Delay -- 6.3 Network Overhead -- 6.4 Throughput -- 6.5 Energy Consumption -- 7 Result and Discussion -- 7.1 Experimental Setup -- 7.2 Performance Parameters for 1000 Iteration -- 7.3 Performance Parameters for 2000 Iterations -- 8 Conclusion -- References -- Visual Sentiment Analysis: An Analysis of Emotions in Video and Audio -- 1 Introduction -- 2 Literature Survey -- 3 Related Work -- 3.1 Facial Expression Recognition of FER-2013 -- 3.2 Micro-Classification of Facial Expression -- 4 Results Analysis -- 4.1 Prediction Test of Facial Expression -- 5 Future Scope -- 6 Conclusion -- References -- Design and Functional Implementation of Green Data Center -- 1 Introduction -- 2 Literature Reviews -- 2.1 Related Work -- 3 Proposed System -- 3.1 Architecture of Our Green Data Center -- 4 Algorithm -- 4.1 Power Management Algorithms -- 4.2 Cooling Management Algorithms -- 4.3 Load Balancing Algorithms -- 5 Math Model -- 5.1 Power Usages Effectiveness -- 5.2 Carbon Usages Effectiveness -- 5.3 Energy Reuse Factor -- 5.4 Carbon Utility -- 6 Performance Evaluation -- 6.1 Power Usages Effectiveness -- 6.2 Carbon Usages Effectiveness -- 6.3 Energy Reuse Factor -- 6.4 Limitations and Challenges -- 7 Conclusion -- References. ; Patient Pulse Rate and Oxygen Level Monitoring System Using IoT.
• Sommario/riassunto: This book gathers selected papers presented at International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2023), organized by School of Computer Science and Engineering, REVA University, Bengaluru, India, during June 21–22, 2023. The book covers state-of-the-art research insights on Internet of things (IoT) paradigm to access, manage, and control the objects/things/people working under various information systems and deployed under wide range of applications like smart cities, healthcare, industries, and smart homes.
• Titolo autorizzato: IoT Based Control Networks and Intelligent Systems
• ISBN: 981-9965-86-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910766882703321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 789