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IoT Based Control Networks and Intelligent Systems de P. P. Joby

IoT Based Control Networks and Intelligent Systems: Lecture Notes in Networks and Systems, cartea 528

Editat de P. P. Joby, Valentina E. Balas, Ram Palanisamy
en Limba Engleză Paperback – 12 oct 2022

Notăm cu interes abordarea aplicată a acestui volum, care debutează cu soluții tehnice riguroase, precum utilizarea LabVIEW pentru detecția anomaliilor în screeningul retinopatiei diabetice. Putem afirma că lucrarea nu se limitează la baze teoretice, ci explorează implementări concrete ale Internet of Things (IoT) în gestionarea și controlul sistemelor complexe. Merită menționat că volumul este structurat pentru a ghida cititorul prin diverse paliere de complexitate, de la analiza performanței standardului wireless IEEE 802.11g până la sisteme securizate de deblocare a portierelor auto și automatizarea restaurantelor prin tehnici de procesare a limbajului natural (NLP).

Pe linia practică a volumului Intelligent Data Communication Technologies and Internet of Things, dar cu un focus mai pronunțat pe sistemele de control și rețelele inteligente aplicate în medicină și infrastructură urbană, această ediție din Lecture Notes in Networks and Systems oferă o perspectivă tehnică asupra intersecției dintre hardware și algoritmi. De asemenea, spre deosebire de Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, care pune accent pe tendințele generale, volumul de față detaliază specificații de securitate cripto pentru comunicații IoT și modele hibride de tip CNN și XGBoost pentru diagnosticarea defectelor congenitale prin ultrasunete.

Organizarea materialului reflectă o progresie logică: se pornește de la aplicații de diagnosticare medicală, se trece prin protocoale de securitate și comunicații wireless, ajungând la optimizări de rutare în rețele MANET și soluții de Big Data. Această structură transformă volumul într-o resursă tehnică densă, ancorată în realitățile implementării IoT în orașe inteligente și industrii automatizate.

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Specificații

ISBN-13: 9789811958441
ISBN-10: 9811958440
Pagini: 924
Ilustrații: XV, 907 p. 567 illus., 451 illus. in color.
Dimensiuni: 155 x 235 x 46 mm
Greutate: 1.54 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Networks and Systems
Seria Lecture Notes in Networks and Systems

Locul publicării:Singapore, Singapore

De ce să citești această carte

Această resursă tehnică este esențială pentru inginerii și cercetătorii care dezvoltă sisteme de control bazate pe IoT. Cititorul câștigă acces la studii de caz documentate despre securitatea rețelelor, algoritmi de diagnostic medical și optimizarea comunicațiilor wireless. Este o achiziție valoroasă pentru cei care au nevoie de specificații de implementare pentru tehnologii inteligente în sănătate, industrie sau smart homes, oferind soluții concrete pentru provocările actuale de interconectivitate.

Despre autor

Volumul este coordonat de un colectiv de editori cu experiență academică vastă, printre care se remarcă Valentina E. Balas, profesor la Universitatea „Aurel Vlaicu” din Arad și o autoritate recunoscută în domeniul sistemelor inteligente și al logicii fuzzy. Alături de P. P. Joby și Ram Palanisamy, editorii au selectat lucrări de înaltă ținută științifică prezentate în cadrul ICICNIS 2022. Expertiza lor combinată asigură o selecție riguroasă a cercetărilor care acoperă atât aspectele de inginerie electronică, cât și pe cele de telecomunicații și analiză de date, consolidând prestigiul seriei publicate de Springer.

Descriere scurtă

This book gathers selected papers presented at International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2022), organized by St. Joseph’s College of Engineering and Technology, Kottayam, Kerala, India, during July 1–2, 2022. 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, health care, industries, and smart homes.

Cuprins

LabVIEW Based Anomaly Detection for Screening Diabetic Retinopathy.- Early Stage Parkinson's Disease Diagnosis Detection Using K-Nearest Neighbors Algorithm.- IoT Crypto Security Communication System.- CNN and XGBoost based hybrid model in classification of fetal ultrasound scan planes images in detection of congenital heart defects.- Review on Web Application Based Infant Health Management.- IEEE 802.11g Wireless Protocol Standard: Performance Analysis.- Optimal Cluster Head Selection using Vortex Search Algorithm with Deep Learning-Based Multipath Routing in MANET.- Secure Wireless Smart Car Door Unlocking System.- A Comprehending Deep Learning Approach for Disease Classification.- Restaurant Automation Through IoT and NLP Techniques.- Comprehensive Assessment of Big Data in Recommendation Systems.- Review on Application of Wireless Technology using IoT.- Comparative Study of Conditional Generative Models for ISL Generation.- A Novel Approach for Segmenting Coronary Artery from Angiogram Videos.- Analysis of Different Cryptographic Algorithms in Cloud-based Multi-Robot Systems.- An IoT Based Environment Monitoring & Controlling System for Food Grain Warehouse.- Numerical Analysis and ANN Modeling of the Intercooled, Reheat and Regenerative Gas Turbine Cycle.- Implementation of IoT Enabled Home Automation System.- Scheduled Line of Symmetry Solar Tracker with MPT and IoT.- A New Method for Secure Transmission of Medical Images using Wavelet Transform and Steganography.- Deep Learning Based Hand Sign Recognition In The Context Of Indian Greetings And Gestures.- Pedestrian Detection using MobileNetV2 based Mask R-CNN.- Localization of calcifications in mammograms using CNN with GAP layer.- Comparative analysis of machine learning and deep learning algorithms for Real-Time posture detection to prevent Sciatica, Kyphosis, Lordosis.- Lightweight Block Cipher for Resource Constrained IoT Environment - A Survey, Performance, Cryptanalysis and Research Challenges.- IMAGE CLASSIFICATION USING QUANTUM MACHINE LEARNING.- An Efficient Algorithm for Multi class Classification in Deep Neural Network.- Lung Cancer Classification System for CT Images using Deep Convolutional Neural Network.- Performance Analysis of Machine Learning Algorithms in Heart Diseases Prediction.- Fluorescence Microscopic Image Reconstruction using Variational Autoencoder and CycleGAN.- Tomato Leaf Disease Detection based on Convolutional Neural Network.- PDF Steganography using Hybrid Crypto Encryption Technique.- An Efficient Classification Algorithm for Employee Well-being Prediction Using Deep Learning.- UAV-Enabled Supply Chain Architecture for Flood Recovery in Smart Cities.- Outlier-based Sybil Attack Detection in WSN.- An Innovative Novel Method of Reducing the Impact of Traffic Jam Using the Vehicular Ad-hoc Network.- Navbot - College Navigation Chatbot using Deep Neural Network.- Heart problems diagnosis using ECG and PCG signals and a K-Nearest Neighbor classifier.- Deep Convolutional Neural Network for Multi-Class Brain Tumor Classification System in MRI Images.- Application of the Particle Swarm Algorithm to the Task of Image Segmentation for Remote Sensing of the Earth.- Overview of data center link load balancing technology based on SDN.- Wearable band for safety in chemical industries.- A deep learning framework for social distance monitoring and face mask detection.- Information Security and Privacy in Smart Cities, Smart Agriculture, Industry 4.0, Smart Medicine, and Smart Healthcare.- Virtual Machine and Container live migration algorithms for energy optimization of data centre in cloud environment: A Research Review.- Dynamic shortest path routing algorithm to reduce retransmission and congestion avoidance for mobile nodes in Wireless Sensor Network.- A Systematic Review - Attack and Security issues in FOG Computing.- Examination Of Water Impurities Using Iot And Machine Learning Techniques.- Cache Coherence For Embedded Multi-Core System Architectures: A Survey And Challenges.- Comparison of Supervised Machine Learning Algorithms for Predicting Employee Performance on Real Time Dataset.- A Resilient and Efficient Protocol for Strengthening the Internet of Things Network Performance.- Early Identification of Crop Disease Using Deep Convolution Neural Networks.- An Error Dependent Enhancement Method for Images Captured in Dense Fog.- 3D Video QoE Based Adaptation Framework for Future Communication Networks.- Improved Lightweight Cryptography Authentication based Secure Data Transmission in IoT Networks.- Modeling and control of induction machine and drive in the combined domain with new chaotic gorilla troop optimizer.- rSense: A Novel Gesture-Based Human Assistive Device.- Smart Boosted Model for Behavior-Based Malware Analysis and Detection.- Quality Rating Application for Victual Recipes Using Facial Analysis.- Survey of Text Document Summarization based on Ensemble Topic Vector Clustering Model.- A Hybrid Approach on Conditional GAN for Portfolio Analysis.- An Innovative Solar Power Can Satellite Model Prototype to Perceive the Environmental Data.- Artificial Neural Network Based Fault Diagnosing System.- Smart Application for Voice Over Control on Electronic Devices Using NodeMCU.

Notă biografică

Professor P P. Joby is Professor and Head of Computer Science Engineering Department at St. Joseph's College of Engineering and Technology, Palai, Kerala, India. He completed his Doctorate in Information and Communication Engineering expertise in the field of wireless sensor networks. He completed M.Tech. in advanced computing from Sastra University and B.E. in Computer Science and Engineering. He has many international and national publications. He is Active Member in professional bodies such as ISTE, IAENG, UACEE, and IACSIT.
Dr. Valentina E. Balas is currently Full Professor at “Aurel Vlaicu” University of Arad, Romania. She is Author of more than 300 research papers. Her research interests are in intelligent systems, fuzzy control, and soft computing. She is Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and to IJCSE. Dr. Balas is Member of EUSFLAT, ACM, and a SM IEEE, Member in TC–EC and TC-FS (IEEE CIS), TC–SC (IEEE SMCS), and Joint Secretary FIM.
Professor. Ram Palanisamy is Professor of Enterprise Systems in the Business Administration Department at the Gerald Schwartz School of Business, St. Francis Xavier University. Dr. Palanisamy teaches courses on Foundations of Business Information Technology, Enterprise Systems using SAP, Systems Analysis and Design, SAP Implementation, Database Management Systems, and Electronic Business (Mobile Commerce). Before joining StFX, he taught courses in management at the Wayne State University (Detroit, USA), Universiti Telekom (Malaysia) and National Institute of Technology (NITT), Deemed University, India. His research interest is on Enterprise Systems (ES) implementation; ES acquisition; ES flexibility, ES success; knowledge management systems; and healthcare inter-professional collaboration.

Caracteristici

Presents research works in the field of IoT-based control networks and intelligent systems Provides original works presented at ICICNIS 2022 held in Kerala, India Serves as a reference for researchers and practitioners in academia and industry