Proceedings of the 13th National Technical Seminar on Unmanned System Technology 2023-Volume 2 (eBook, PDF)

NUSYS'23
Redaktion: Md. Zain, Zainah; Karri, Rama Rao; Xiang, Xianbo; Li, Huiping; Ismail, Zool Hilmi

• Format: PDF

Produktbeschreibung

This book comprises the proceedings of the 13th National Technical Symposium on Unmanned System Technology 2023 (NUSYS'23) held on October 2-3, 2023. It covers a number of topics, including intelligent robotics, novel sensor technology, control algorithms, acoustics signal processing, imaging techniques, biomimetic robots, green energy sources, and underwater communication backbones and protocols, and it appeals to researchers developing marine technology solutions and policy-makers interested in technologies to facilitate the exploration of coastal and oceanic regions.

This book consists of selected papers presented at the 3rd International Conference on Advances in Concrete, Structural, and Geotechnical Engineering (ACSGE 2024) held at BITS Pilani, India. The papers represent the latest research work in the fields of advanced composite materials, advanced computational techniques for structures, applications of nanotechnology in civil engineering, bridge engineering, composite structures, concrete technology, the fatigue life of structures, fire-resistant structures, functionally graded materials and structures, geotechnical processes, ground improvement techniques, offshore structures, performance-based design of structures, pre-cast pre-stressed concrete structures, seismic design, and construction, soil structure interaction, structural health assessment and rehabilitation, sustainability of construction, design, and management. The papers are presented by an international pool of academics, research scientists, and industrial experts and therefore cater to the global audience from the fields of construction materials, design guidelines, geotechnical engineering, concrete infrastructures, and structural engineering.

This book is part of a 2-volume series of these conference proceedings, it represents Volume 2 in the series.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 255
• Erscheinungstermin: 16. September 2024
• Englisch
• ISBN-13: 9789819720279
• Artikelnr.: 71748710

Autorenporträt

Dr. Zainah Md. Zain is a renowned academic with a distinguished career in control and robotics. She is currently affiliated with the Faculty of Electrical and Electronics Engineering Technology at Universiti Malaysia Pahang Al-Sultan Abdullah, Pahang, Malaysia, where she has accumulated over 20 years of experience in academia and research. Dr. Zain holds the position of Head of Programme for the Bachelor of Electrical Engineering Technology. Her research interests encompass Underactuated Systems, Nonlinear Control, and Underwater Robots. She is recognized as a registered professional technologist by the Malaysian Board of Technologists and is an active member of prestigious organizations such as the Society for Underwater Technology, The Institution of Engineering and Technology, and the Institute of Electrical and Electronics Engineers - Oceanic Engineering Society, among others. Dr. Zain's significant contributions to IEEE have been acknowledged with several grant awards, including the IEEE TryEngineering STEM grant, and she was honored as an IEEE STEM Champion in 2023. Additionally, she has served as a grant reviewer for IEEE EPIC grants. Dr. Zool Hilmi Ismail is an accomplished academic with a distinguished career in engineering and robotics. As an Associate Professor at Universiti Teknologi Malaysia, Kuala Lumpur, he has contributed significantly to the field. His research interests encompass Edge Computing, Model-Predictive Control, Path-Planning, and Task Allocation using Deep-Reinforcement Learning. He holds the title of a registered professional engineer under the Board of Engineers Malaysia and is an active member of prestigious organizations such as the Society for Underwater Technology, The Institution of Engineering and Technology, and the Institute of Electrical and Electronics Engineers - Oceanic Engineering Society, among others. His remarkable contributions have been recognized with several awards from International RoboCup Competitions in the Service Robot Category. In addition, he served as a committee member for International RoboCup@Home Education in 2017.  Dr. Huiping Li is the Full Professor with the School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an. Dr Li has published one monograph and more than 90 journal articles and conference papers. He was awarded the National Science Fund for Excellent Young Scholars of China, and Shaanxi Provincial Science Fund for Outstanding Young Scholars. Dr. Li has won the first prize of Natural Science from the Chinese Association of Automation, and the best youth author paper from IFAC 2019 TA. Dr Li is the Chair of IEEE Xi'an IES Chapter and technical committee member of IEEE IES Cyber-physical systems. Dr Li is the General Co-Chair of 2023 IEEE ONCON, was the Technical Program Chair of IEEE ICPS 2021 and the Publicity Co-Chair of IEEE ISIE 2019. Dr Li was a Guest Technical Editor for a Special Section in IEEE/ASME Transactions on Mechatronics. He serves as the Associate Editor for IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, and ASME Journal on Dynamic Systems, Measurement and Control. He is a Senior member of IEEE.  Dr. Xianbo Xiang attained his B.E. and M.E. degrees in automatic control and marine engineering from the Huazhong University of Science and Technology (HUST), Wuhan, China, in 2000 and 2003, respectively. He further pursued his academic journey and earned his Ph.D. degree in robotics from the University of Montpellier 2, Montpellier, France, in 2011. Presently, he serves as a Professor at the School of Naval Architecture and Ocean Engineering, HUST. Notably, in 2006, he participated as an EU Erasmus Mundus Visiting Scholar in the SpaceMaster Project. Moreover, from 2008 to 2011, he contributed to the European Project FreeSubNet as an EC Marie Curie ESR Fellow with LIRMM/CNRS, France. His researchendeavors primarily revolve around robotics and marine vehicle systems.  Dr. Rama Rao Karri working in the Faculty of Engineering, Universiti Teknologi Brunei (UTB), Brunei Darussalam and has over 20 years of working experience in Academics, Industry, and Research. He has experience working in multidisciplinary fields and has expertise in various machine-learning techniques and process modelling. As of 6 Feb 2024, he has published 200+ research articles in reputed journals, book chapters, and conference proceedings. He is an editorial board member in 10 renowned journals and has peer-reviewed more than 470+ articles. Further, he handled 195 articles as an editor. He was listed in the top 2% of the world's most influential scientists for the Years 2021, 2022 & 2023.

Inhaltsangabe

Integration of Hall-Effect Sensor Modules to Gear and Pedal Positions Sensing Robotics System.- Smart Airboat System for Water Circulation and Water Quality Monitoring.- Development of Unmanned Surface Vehicles (USV) to Monitor the Quality of Water for Agriculture.- Multi-Camera Large-Scale Intelligent Video Analytics.- Brain Tumor Classification Using MRI Images And Deep Learning Methods.- Efficient Water Management in Equine Facilities: A Solar Powered IoT Approach for Horse Stables.- Automated Sleep Staging Classification System Based on Convolutional Neural Network using Polysomnography Signals.- Design Analysis of Unmanned Surface Robot: Preliminary Design Study.- Control System Development of Unmanned Surface Vehicles (USV) with Fuzzy Logic Controller.- Fractal Dimension Analysis Demonstrates Overestimation And Underestimation Of Time In EEG Signal.- Development of Unmanned Aerial Vehicle for Payload Analysis.- Reinforcement Learning Approach for Commodity Market Trading Strategy.- Development of an Autonomous Pilotage for a Digital Twin Based Unmanned Surface Vessel in Virtual Reality.- Predicting Aluminum Corrosion Inhibition with Schiff Base Compounds using Support Vector Machines (SVM).- Comparing an Unbiased and Normalized Adaptive System With Adaptive Filters In Electrocardiographic Signals Noise Reduction.- Alzheimer's Disease and Frontotemporal Dementia: Differential Diagnosis Using Electroencephalogram Signal.- Automating Galaxy Image Classification in Galaxy Zoo: A Comparative Study of Deep Learning Models.- Utilizing Color Space Information as Features for Deep Learning for a Heterogeneous Food Recognition System.- Online Conversation-Based Social Engineering Detection Using Machine Learning.- Design and Implementation of E-Commerce Thiqah Web platform based on Vue.js and MySQL.