001461679 000__ 06634cam\a22007457a\4500 001461679 001__ 1461679 001461679 003__ OCoLC 001461679 005__ 20230503003405.0 001461679 006__ m\\\\\o\\d\\\\\\\\ 001461679 007__ cr\un\nnnunnun 001461679 008__ 230325s2023\\\\si\a\\\\o\\\\\100\0\eng\d 001461679 019__ $$a1373928670 001461679 020__ $$a9789811987038 001461679 020__ $$a9811987033 001461679 020__ $$z9811987025 001461679 020__ $$z9789811987021 001461679 0247_ $$a10.1007/978-981-19-8703-8$$2doi 001461679 035__ $$aSP(OCoLC)1373987007 001461679 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX$$dEBLCP$$dOCLCF 001461679 049__ $$aISEA 001461679 050_4 $$aTJ163.12 001461679 08204 $$a621$$223/eng/20230327 001461679 1112_ $$aiM3F (Conference)$$d(2022 :$$cPahang, Malaysia) 001461679 24510 $$aAdvances in intelligent manufacturing and mechatronics :$$bselected articles from the Innovative Manufacturing, Mechatronics and Materials Forum (iM3F 2022), Pahang, Malaysia /$$cMuhammad Amirul Abdullah [and 8 others], editors. 001461679 260__ $$aSingapore :$$bSpringer,$$c2023. 001461679 300__ $$a1 online resource (x 350 pages) :$$billustrations (black and white, and colour). 001461679 4901_ $$aLecture notes in electrical engineering,$$x1876-1119 ;$$vvolume 988 001461679 500__ $$a2.1 The Proposed Bearing Diagnosis Method 001461679 5050_ $$aIntro -- Preface -- Contents -- A Computational Time Analysis of Discrete Simulated Kalman Filter Optimizer -- 1 Introduction -- 2 Methodology -- 2.1 Discrete Simulated Kalman Filter Optimizer (DSKFO) -- 3 Experiment, Result, and Discussion -- 4 Conclusion -- References -- A Real-Time Social Distancing and Face Mask Detection System Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Preparation -- 3.2 Model Training -- 3.3 Performance Evaluation -- 3.4 Deployment of Classifier Model -- 4 Results and Discussion 001461679 5058_ $$a4.1 Quantitative Analysis of Deep Learning Methods -- 4.2 Performance of Social Distancing Monitoring Model -- 5 Conclusion -- References -- A Systematic Review for Robotic for Cognitive Speech Therapy for Rehabilitation Patient -- 1 Introduction -- 1.1 Background -- 1.2 Problem Definitions and Research Motivation -- 1.3 Aim and Objectives -- 2 Literature Review -- 2.1 Critical Literature Review Search Method -- 2.2 Stroke and Aphasia -- 2.3 Method of Treating Aphasia That Already Exists or is Being Studied -- 2.4 AI Robot in Health Care -- 2.5 People's Attitude Toward AI Robots 001461679 5058_ $$a2.6 Results of Secondary Data Collections -- 3 Conclusion -- References -- An Estimation Steering Feedback Torque in Vehicle Steer by Wire System -- 1 Introduction -- 2 The Modeling of Steer by Wire (SBW) System -- 2.1 The Steering Wheel System Model -- 2.2 The Front Axle System Model -- 2.3 The Linear Vehicle Model -- 3 Estimation Feedback Torque and the Control Method -- 4 The LQR Controller and LQR + Gain Scheduling (GS)-Control Feedback -- 4.1 The LQR Controller -- 4.2 The LQR Controller with Gain-Scheduling -- 5 Conclusion -- References 001461679 5058_ $$aAn Implementation of Sliding Mode Voltage Control Controlled Buck-Boost Converter for Solar Application -- 1 Introduction -- 2 Methodology -- 2.1 System Modeling of Conventional SMVC Controller -- 2.2 System Modeling-Based PID SMVC Controller -- 3 Results and Discussion -- 3.1 Simulation Results -- 3.2 Analysis with Three Different Solar Modules Using SMVC and PID Controller -- 4 Conclusion -- References -- An Optimized Deep Learning Model for Automatic Diagnosis of COVID-19 Using Chest X-Ray Images -- 1 Introduction -- 2 Related Works -- 2.1 Existing Techniques for COVID-19 Diagnosis 001461679 5058_ $$a2.2 Original PSO -- 3 Proposed PSOMCIS-CNN for COVID-19 Diagnosis -- 3.1 Datasets -- 3.2 Formulation of Hyperparameter Tuning as Optimization Problem -- 3.3 Hyperparameter Tuning Using PSOMCIS -- 4 Performance Analysis of PSOMCIS-CNN -- 5 Conclusions -- References -- Automatic Vehicle Location (AVL): Evaluation on the Punctuality Index of City Public Bus Service -- 1 Introduction -- 2 Methodology -- 3 Result -- 4 Discussion -- 5 Conclusion -- Appendix -- References -- Bearing Fault Diagnosis Using Extreme Learning Machine Based on Artificial Gorilla Troops Optimizer -- 1 Introduction -- 2 Methods 001461679 506__ $$aAccess limited to authorized users. 001461679 520__ $$aThis book presents parts of the iM3F 2022 proceedings from the mechatronics as well as the intelligent manufacturing tracks. It highlights recent trends and key challenges in mechatronics as well as the advent of intelligent manufacturing engineering and technology that are non-trivial in embracing Industry 4.0 as well as addressing the UN Sustainable Development Goals. The book deliberates on conventional as well as advanced solutions that are utilized in the variety of mechatronics and intelligent manufacturing-based applications. The readers are envisaged to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book. 001461679 588__ $$aDescription based on print version record. 001461679 650_0 $$aMechatronics$$vCongresses. 001461679 655_0 $$aElectronic books. 001461679 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001461679 655_7 $$aConference papers and proceedings.$$2lcgft 001461679 7001_ $$aAbdullah, Muhammad Amirul, editor. 001461679 7001_ $$aKhairuddin, Ismail Mohd.,$$eeditor. 001461679 7001_ $$aAb. Nasir, Ahmad Fakhri,$$eeditor. 001461679 7001_ $$aMohd. Isa, Wan Hasbullah,$$eeditor. 001461679 7001_ $$aMohd Razman, Mohd Azraai,$$eeditor. 001461679 7001_ $$aRasid, Mohd. Azri Hizami,$$eeditor. 001461679 7001_ $$aZainal, Sheikh Muhammad Hafiz Fahami,$$cSheikh,$$eeditor. 001461679 7001_ $$aBentley, Barry,$$eeditor. 001461679 7001_ $$aLiu, Pengcheng$$c(Ph.D. in Robotics),$$eeditor. 001461679 77608 $$iPrint version:$$aAbdullah, Muhammad Amirul$$tAdvances in Intelligent Manufacturing and Mechatronics$$dSingapore : Springer,c2023$$z9789811987021 001461679 830_0 $$aLecture notes in electrical engineering ;$$v988.$$x1876-1119 001461679 852__ $$bebk 001461679 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-8703-8$$zOnline Access$$91397441.1 001461679 909CO $$ooai:library.usi.edu:1461679$$pGLOBAL_SET 001461679 980__ $$aBIB 001461679 980__ $$aEBOOK 001461679 982__ $$aEbook 001461679 983__ $$aOnline 001461679 994__ $$a92$$bISE