Intelligent Sustainable Systems

Selected Papers of WorldS4 2021, Volume 1
Herausgegeben:Nagar, Atulya K.; Jat, Dharm Singh; Marín-Raventós, Gabriela; Mishra, Durgesh Kumar

• Broschiertes Buch

Produktbeschreibung

This book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2021) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.

Produktdetails

• Lecture Notes in Networks and Systems 333
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-16-6308-6
• 1st ed. 2022
• Seitenzahl: 804
• Erscheinungstermin: 5. Januar 2022
• Englisch
• Abmessung: 235mm x 155mm x 43mm
• Gewicht: 1194g
• ISBN-13: 9789811663086
• ISBN-10: 9811663084
• Artikelnr.: 62423232

Autorenporträt

Atulya K. Nagar holds Foundation Chair as a professor of Mathematical Sciences and is pro-vice-chancellor for Research and Dean of the Faculty of Science at Liverpool Hope University, UK. He is also the head of the School of Mathematics, Computer Science, and Engineering, which he established at the University. He is an internationally respected scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, operations research, and systems engineering. He received a prestigious Commonwealth Fellowship to pursue his doctorate (D.Phil.) in Applied Nonlinear Mathematics, which he earned from the University of York (UK) in 1996. He holds a B.Sc. (Hons.), an M.Sc., and M.Phil. (with distinction) in Mathematical Physics from the MDS University of Ajmer, India. His research expertise spans both applied mathematics and computational methods for nonlinear, complex, and intractable problems arising in science, engineering, and industry. GABRIELA MARÍN-RAVENTÓS received a M.Sc. in Computer Science from Case Western Reserve University in 1985 and a Ph.D. in Business Analysis and Research from Texas A&M University, USA, in 1993. She has been a Computer Science faculty member at Universidad de Costa Rica (UCR) since 1980. She was the dean of Graduate Studies and the director of the Research Center for Communication and Information Technologies (CITIC), both at UCR. Currently, she is a director of the Graduate Program in Computer Science and Informatics. She has organized several international and national conferences, and has been, and actually is, a chair of several program and editorial committees. From 2012 to 2016, she was the president of the Latin American Center for Computer Studies (CLEI), becoming the first woman to occupy such a distinguished position. Since September 2016, she has been vice-president of the International Federation for Information Processing (IFIP), in charge of the Digital EquityCommittee. Her research interests include smart cities, human-computer interaction, decision support systems, gender in IT and digital equity. Durgesh Kumar Mishra has received M.Tech. degree in Computer Science from DAVV, Indore, in 1994 and Ph.D. degree in Computer Engineering in 2008. Presently, he has been working as a director and professor (CSE) at Sri Aurobindo Institute of Technology, Indore, MP, India. He is also a visiting faculty at IIT-Indore, MP, India. He has 24 years of teaching and 10 years of research experience. He has completed his Ph.D. on the area - Secure Multi-Party Computation for Preserving Privacy. He has published more than 90 papers in refereed international/national journals and conferences including IEEE, ACM conferences. His publications are listed in DBLP, Citeseer-x, Elsevier, and Scopus. He is a senior member of IEEE. He visited MIT Boston and presented his presentation on security and privacy. He also chaired a panel on"Digital Monozukuri" at "Norbert Winner in 21st century" at BOSTON. He became the member of Bureau of Indian standards (BIS), Govt. of India, for Information Security domain. Dharm Singh Jat is a professor of Computer Science at Namibia University of Science and Technology (NUST). He has guided about 8 Ph.D. and 24 master research scholars. He is the author of more than 150 peer-reviewed articles and the author or editor of more than 20 books. His interests span the areas of multimedia communications, wireless technologies, mobile communication systems, edge roof computing and, software defined networks, network security, and Internet of things. He has given several guest lecturer/invited talks at various prestigious conferences. He is a fellow of the Institution of Engineers (I), Fellow of Computer Society of India, Chartered Engineer (I), Senior Member IEEE and Distinguished ACM Speaker. He also developed experiments based on simulation software for network experiments, research, and project work for undergraduate and postgraduate students. His research in developing video communication platforms for solving QoS issues in video communications and also developed a framework for video transmission over wireless networks for undergraduate and postgraduate students.

Inhaltsangabe

App OnViolet on UV radiation skin care habits.- Identifying Key Quality Features of mHealth Applications Unsupervised Feature Selection Approach: MARS Case Study.- Implementation of e-health in Burkina Faso: a status report.- A Training Web Platform to improve Cognitive Skills for Phishing Attacks Detection.- Development of a linear model of diabetes mellitus with a PID controller and a method for automatic adjustment of the PID controller.- Financial decisions in Colombian organisations in the health sector.- Business innovation capabilities in the road infrastructure sector in the Caribbean region of Colombia.- Smart Agricultural System Using IoT.- IoT based Low Cost Automated Irrigation System for Smart Farming.- Simultaneous measurements reading from more than one MiBand 3 wristbands.- When one wireless technology is not enough: a network architecture for precision agriculture using LoRa, WIFI and LTE.- Application of Generative Adversarial Network for Designer-Assistance System.- The Research of Marco-Control Diagram of ESP Well Based on Machine Learning.- Detection System Potholes on Roads based-on Recurrent Neuronal Network.- Eduinformatics: A New Academic Field Needed in the Age of Information and Communication Technology.- Classification of Sagittal Lumbar Spine MRI for Lumbar Spinal Stenosis Detection using Transfer Learning of a Deep Convolutional Neural Network.- Robust Facial-Based Inter-Beat Interval Estimation through Spectral Signature Tracking and Periodic Filtering.- Research and Application on Optimization of Drainage Gas Recovery Methods in Linxing block.- Can the Measurements of Albumin and Glucose be Correlated Each Other? A Physics-based Theory.- Hybrid 2D Theory of Outdoor Infections in Times of Global Pandemic.- Impacts of Blockchain on Digital Marketing.- A Review of Various Techniques used in the Implementation of Lane Departure and Road Detection.- Virtual Police Station System with Chat Bot using FSM.- Khon Gesture Detection with Deep Learning Algorithms.- Contribution of Robotics in Medical Applications A Literary Survey.- Development of Virtual Reality Training System Based on EEG Biofeedback.- Adapting Automatic Speech Recognition to the Radiology Domain for a Less-Resourced Language: The Case of Latvian.- Contextualization of Personal Data Discovery and Anonymization Tools.- Early Lungs Tuberculosis Detection using Deep Learning.- Localising the privacy requirement to improve the scalability issue of blockchain.- Performance analysis of Wi-Fi and LTE-LAA/LTE-U.- Blockchain Based Decentralized Electronic Voting System.- Human-robot-intermittency and -invariants.- Breast Cancer Detection Using Machine Learning Algorithms.- A Machine learning based congenital categorization approach in early recognition of breast carcinoma.- Review of Powering and Actuation in Bio-robotic Walking Orthoses.- Study of Device-To-Device Communication in the Next Generation of Wireless Communication.- Atherosclerosis Disease Prediction Based on Feature Optimization and Ensemble Classifier.- Damage Estimation of Reed Fibers during Recycling.- Sentiment Analysis in Teachers Performance Rating using Naïve Bayes Algorithm. The lack of focus given to ethical training in the IT Industry.- Heuristic approach to sustainable agile development with secure indicators.- Improving collaborative filtering based recommender system with season and style features.- Predicting Sentiment & Emotion on ASD using Machine learning & Deep neural networks based on Twitter data.- INCIDENCE OF DIALECTAL ACCENTS IN THE STUDENTS' LISTENING UNDERSTANDING.- Classification of Handwritten Indic Scripts using Deep Learning.- Classification of Recyclable Waste Generated in Indian Households.- A Hybrid Model on Deep Learning for the diagnosis of Diabetic Retinopathy using Image Cropping.- Automation of Translating Unit-Level Verification Scenarios for Test Vector Generation of SoC.- Analysis of Firmware Security Mechanisms.- Mutual Funds Categorization using Ensemble Clustering.- Load Balancing Synchronized Brownout Oriented Approach For Safeguarding Cloud Services Sustainability.- Blockchain based Location Sharing in 5G Open RAN Infrastructure for Sustainable Communities.- Carbon Footprint Analysis using Knowledge Graph.- Automatic Traffic light Detection for Self-driving cars using Transfer Learning.- An exploratory study to evaluate the quality of Research publication by the Indian researchers.- Data Center Simulation for Resource Utilization Analysis at Extended Loads.- Detection of Alzheimer's Disease through Speech features and Machine Learning Classifiers.- An Approach to Paperless Administration of Offices in India using Blockchain.- Key Technology Adoption Indicators for Smart Universities: A Preliminary Proposal.- Smart Farm Water Requirement Analysis Using Machine Learning.- Abnormal Activity Detection Using Deep Learning.- Noisy Dense Label Prediction with Noise Robust Loss Functions.- A Systematic Review on Convolutional Neural Networks for Sentinel-2 Image Classication.- Categorical analysis of c ode s mell d etection using machine learning algorithms.- Foreign Accent Recognition using a Combination of Native and Non-native Speech.- A novel upgraded uniform embedding technique for JPEG steganography.- Insights into Developers' Abandonment in FLOSS Projects.- A Machine Learning Approach for Heart Attack Prediction.- Bio-Inspired Framework for Security in IoT Devices.- Reaction capacity identification problem: is there any way to formalize scientific knowledge and automate reasoning so that intelligent systems can solve it?.