Vol. 32 No. 1(3)
Special Issue on 2019 International Conference on Smart Science-ICSS2019: Part 1
Guest Editor: Cheng-Chi Wang (National Chin-Yi University of Technology)
Eyelid movement patterns are a key factor in the detection of fatigue, and in this study, electroencephalography (EEG) was used to record the brainwave patterns associated with eyelid movement in ... Read More
In this study, polycrystalline silicon fin-like thin-film transistors (poly-Si FinTFTs) with a wide drain structure are fabricated. The off leakage current of poly-Si FinTFTs with various extend ... Read More
Image dehazing is a crucial technique in the study of computer vision. The most widely used image dehazing approach is the dark channel prior (DCP) method proposed by He et al. [IEEE Trans. Patt ... Read More
Real-time, reliable, accurate, and comprehensive ambient air condition information over time is required in many fields and applications, including medical, scientific, and industrial application ... Read More
In recent years, owing to an increase in electrical energy consumption, the quality and safety issues of power systems have drawn considerable attention. The frequency of a power system is an im ... Read More
Active magnetic bearings (AMBs) have been gradually developed and used in industrial applications. For a milling spindle system with full magnetic support, at least one axial AMB and two radial ... Read More
Cycling is a very popular activity worldwide and cyclists often listen to music while riding. This usually involves the use of a portable music player or a cellphone, which may present safety pr ... Read More
All machines that are used for cutting operations vibrate to some degree. In this study, the vibrations generated in a surface grinding machine, which cause chatter, were investigated. Chatter ... Read More
When current technology keeps advancing, global machine tool manufacturers are gradually moving toward smart production lines. The ball bearing is an important fixed part of a rotating shaft; it ... Read More
Over the years, machine tool manufacturers have moved steadily towards the enhancement of machining accuracy to improve the quality of finished products. In this study, the thermal deformation o ... Read More
High-precision hyperspectral image classification when the number of samples is small is the focus of research in the field of hyperspectrum. At present, there are few studies on the effect of d ... Read More
S&M2103Research Paper of Special Issue |
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S&M2103 Recognition of Eyelid Movement Using Electroencephalographic Signals Wen-Lin Chu, Chih-Jer Lin, and Ching-Hao Chen pp. 291-307 https://doi.org/10.18494/SAM.2020.2602 Published on January 31, 2020 PDF (open access) |
S&M2104Research Paper of Special Issue |
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S&M2104 Analysis of Off‐state Leakage Currents in Poly-Si FinTFTs with Wide Drain by Microwave Annealing Hsin-Hui Hu, Chun-Lin Huang, Yao-Jen Lee, and Kun-Ming Chen pp. 309-315 https://doi.org/10.18494/SAM.2020.2597 Published on January 31, 2020 PDF (open access) |
S&M2105Research Paper of Special Issue |
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S&M2105 Image Haze Removal Using Dark Channel Prior Technology with Adaptive Mask Size Wen-Chang Cheng, Hung-Chou Hsiao, Wei-Lin Huang, and Cheng-Hsiung Hsieh pp. 317-335 https://doi.org/10.18494/SAM.2020.2593 Published on January 31, 2020 PDF (open access) |
S&M2106Research Paper of Special Issue |
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S&M2106 Automatic Wireless Ambient Air and Weather Condition Monitoring System for Outdoor Environment Monitoring Applications C. Bambang Dwi Kuncoro, Win-Jet Luo, M. Rezki Selamet, Sri Mulyati N, Kurniawan Andi S, and Yean-Der Kuan pp. 337-356 https://doi.org/10.18494/SAM.2020.2604 Published on January 31, 2020 PDF (open access) |
S&M2107Research Paper of Special Issue |
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S&M2107 Curve Fitting Approach for Fundamental Frequency Measurement for Power Systems Chih-Hung Lee, Chi-Chun Huang, and Men-Shen Tsai pp. 357-373 https://doi.org/10.18494/SAM.2020.2594 Published on January 31, 2020 PDF (open access) |
S&M2108Research Paper of Special Issue |
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S&M2108 Multi-hybrid Active Magnetic Bearing Design for Milling Spindle Applications Rong-Mao Lee, Zhi-Bin Wu, Cheng-Chi Wang, and Tsung-Chia Chen pp. 375-385 https://doi.org/10.18494/SAM.2020.2600 Published on January 31, 2020 PDF (open access) |
S&M2109Research Paper of Special Issue |
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S&M2109 Using Encephalography to Classify Mind States Associated with Cycling Activities Wen-Lin Chu, Chih-Jer Lin, and Po-Wei Hsiao pp. 387-406 https://doi.org/10.18494/SAM.2020.2601 Published on January 31, 2020 PDF (open access) |
S&M2110Research Paper of Special Issue |
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S&M2110 Optimization Analysis of Vibration for Grinder Spindle Cheng-Chi Wang, Xin-Xiang Zhuo, and Yong-Quan Zhu pp. 407-416 https://doi.org/10.18494/SAM.2020.2603 Published on January 31, 2020 PDF (open access) |
S&M2111Research Paper of Special Issue |
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S&M2111 Optimizing Back Propagation Neural Network Parameters to Judge Fault Types of Ball Bearings Bo-Lin Jian, Cai-Wan Chang-Jian, Yu-Syong Guo, Kuan-Ting Yu, and Her-Terng Yau pp. 417-430 https://doi.org/10.18494/SAM.2020.2605 Published on January 31, 2020 PDF (open access) |
S&M2112Research Paper of Special Issue |
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S&M2112 Prediction of Spindle Thermal Deformation and Displacement Using Back Propagation Neural Network Bo-Lin Jian, Yu-Syong Guo, Chi-Hsien Hu, Li-Wei Wu, and Her-Terng Yau pp. 431-445 https://doi.org/10.18494/SAM.2020.2606 Published on January 31, 2020 PDF (open access) |
S&M2113Research Paper of Special Issue |
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S&M2113 Classification of Hyperspectral Images of Small Samples Based on Support Vector Machine and Back Propagation Neural Network Cheng-Biao Fu and An-Hong Tian pp. 447-454 https://doi.org/10.18494/SAM.2020.2669 Published on January 31, 2020 PDF (open access) |
Cover of this Issue |
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