Vol. 37 No. 11(2)
Special Issue on Artificial Intelligence Predication and Application for Energy-saving Smart Manufacturing System Part 2
Guest Editor: Cheng-Chi Wang (National Sun Yat-sen University)
With the increasing automation of production lines, chip residues generated during computer numerical control (CNC) machining may result in tool damage, equipment malfunctions, unscheduled downti ... Read More
Modern smartphones have evolved beyond their original function as communication tools to serve as versatile digital assistants. In this study, we evaluate and compare the 3D scanning accuracy of ... Read More
In this study, we conducted a low-carbon-oriented performance comparison of three mainstream path planning algorithms, A-star (A*), Rapidly exploring random tree (RRT), and Rapidly exploring rand ... Read More
We present the development of a programmable logic controller (PLC) system designed for three-phase motor applications, incorporating a web-based monitoring system using the ESP32 microcontroller ... Read More
In this paper, a method based on modified incremental conductance with intelligence predication was proposed as an application on photovoltaic module array (PVMA) for the purpose of maximum power ... Read More
Amid growing consumer awareness, quality management and risk control have become paramount in manufacturing. Inadequate quality assurance systems can escalate production costs through yield defic ... Read More
In this study, we examine the relationship between the numerical simulation and experimental validation of laser welding for dissimilar aluminum–copper joints, with a focus on temperature distr ... Read More
S&M4221Research Paper |
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S&M4221 Synthetic-data-driven You-Only-Look-Once–Based Detection of Computer Numerical Control Machining Chips: Comparative Analysis of Omniverse Generated and Manually Annotated Images Ta-Jen Peng, Jr-Rung Chen, En-Cheng Liou, and Yen-Ling Lin pp. 4903-4918 https://doi.org/10.18494/SAM5839 Published on November 19, 2025 PDF (open access) |
S&M4222Research Paper |
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S&M4222 A Data Processing Framework for Evaluating Smartphone LiDAR Accuracy and Point Cloud Correspondence Shu-Hsien Huang, Chia-Hung Lai, Guan-Ming Lin, Shou-Jun Yang, Kun-Fei Cai, Xiang-Ying Lai, and Ywh-Leh Chou pp. 4919-4927 https://doi.org/10.18494/SAM5856 Published on November 19, 2025 PDF (open access) |
S&M4223Research Paper |
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S&M4223 Low-carbon Path Optimization for Intelligent Material Transport in Indoor Environments Yu-Jen Hsu, Ting-En Wu, and Shu-Hsien Huang pp. 4929-4939 https://doi.org/10.18494/SAM5865 Published on November 19, 2025 PDF (open access) |
S&M4224Research Paper |
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S&M4224 Remotely Accessible IoT Monitoring of a Programmable Logic Controller-controlled AC Motor System with Embedded AI Using ESP32 Pratikto Pratikto, Raydha Zul Fitriani, Yean-Der Kuan, Muhammad Nadzarridho Julianto, Listya Utari, Nur Khakim, Muhammad Latif, and Muhamad Anda Falahuddin pp. 4941-4954 https://doi.org/10.18494/SAM5889 Published on November 19, 2025 PDF (open access) |
S&M4225Research Paper |
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S&M4225 Incremental Conductance Method with Intelligence Predication for Maximum Power Point Tracking of Photovoltaic Module Array Kuei-Hsiang Chao, Thi Thanh Truc Bau, and Tsai-Hsun Chu pp. 4955-4968 https://doi.org/10.18494/SAM5938 Published on November 19, 2025 PDF (open access) |
S&M4226Research Paper |
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S&M4226 Optimizing the Yield of Multi-process Wheelchair Components Using the Six Sigma Define, Measure, Analyze, Improve, Control Approach Chin-Chia Liu, Sung-Chang Lin, Hui-Ling Chang, and Chang-Lung Chen pp. 4969-4986 https://doi.org/10.18494/SAM5942 Published on November 19, 2025 PDF (open access) |
S&M4227Research Paper |
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S&M4227 Comparative Study of Aluminum–Copper Dissimilar Laser Welding Simulation and Experiment Achmad Abroori, Yean-Der, Kuan, and Shang-Wu Tsai pp. 4987-4995 https://doi.org/10.18494/SAM5954 Published on November 19, 2025 PDF (open access) |
Cover of this Issue |
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