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Cheng-Jian Lin, Chun-Hui Lin and Frank Lin
The spindle of a machine tool plays a key role in machining because the wear of a spindle might result in inaccurate production and decreased productivity. To understand the condition of a machine tool, a vector-based convolutional fuzzy neural network (...
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Yun-Wei Lin, Yuh-Hwan Liu, Yi-Bing Lin and Jian-Chang Hong
Deep learning models are often trained with a large amount of labeled data to improve the accuracy for moving object detection in new fields. However, the model may not be robust enough due to insufficient training data in the new field, resulting in som...
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Guo-Shiang Lin, Kuan-Ting Lai, Jian-Ming Syu, Jen-Yung Lin and Sin-Kuo Chai
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Cheng-Jian Lin, Chun-Hui Lin and Shyh-Hau Wang
In industrial processing, workpiece quality and processing time have recently become important issues. To improve the machining accuracy and reduce the cutting time, the cutting feed rate will have a significant impact. Therefore, how to plan a dynamic c...
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Sheam-Chyun Lin, Yu-Ming Lin, Yu-Song Haung, Cheng-Liang Yao, Bo-Syuan Jian
Pág. 133 - 140
Pneumatic solenoid valve has been widely used in the vehicle control systems for meeting the rapid-reaction demand triggered by the dynamic conditions encountered during the driving course of vehicle. For ensuring the safety of human being, the reliable ...
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Bo-Lin Jian, Wen-Lin Chu, Yu-Chung Li and Her-Terng Yau
This study proposed the concept of sparse and low-rank matrix decomposition to address the need for aviator?s night vision goggles (NVG) automated inspection processes when inspecting equipment availability. First, the automation requirements include mac...
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Tao Wu, Bowen Chen, Yong Chen, Biao Hu and Jian-Ping Lin
The vibration response of a partial composite beam bridge under the influence of moving vehicular loads was investigated. Due to the coupling effect between the vehicle and the bridge, the vibration information of the vehicle encompassed the vibration in...
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Wenxiong Xi, Hui Xu, Tianyang Dong, Zhiyong Lin and Jian Liu
To improve the flame propagation, combustion stability, and uniformity of the temperature field, multi-position injection is applied in a dual-mode combustor by controlling heat release in different locations. Using the chemical reaction of the finite ra...
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Yijiang Zhao, Xiao Tang, Zhuhua Liao, Yizhi Liu, Min Liu and Jian Lin
Building type prediction is a critical task for urban planning and population estimation. The growing availability of multi-source data presents rich semantic information for building type prediction. However, existing residential building prediction met...
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Chi Gao, Xiaofei Xu, Zhizou Yang, Liwei Lin and Jian Li
In recent decades, memory-intensive applications have experienced a boom, e.g., machine learning, natural language processing (NLP), and big data analytics. Such applications often experience out-of-memory (OOM) errors, which cause unexpected processes t...
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Jun-Fang Wang, Jian-Fu Lin and Yan-Long Xie
Subjected to complex loadings from the wheel?rail interaction, turnout rail is prone to crack damage. This paper aims to develop a condition evaluation method for crack-alike damage detection of in-service turnout rail. A covariance-based structural cond...
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Cheng-Jian Lin, Yu-Cheng Liu and Chin-Ling Lee
In this study, an automatic receipt recognition system (ARRS) is developed. First, a receipt is scanned for conversion into a high-resolution image. Receipt characters are automatically placed into two categories according to the receipt characteristics:...
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Te-Kwei Wang, Yu-Hsun Lin, Jian-Yuan Shen
Pág. 169 - 180
This research proposes an artificial intelligence (AI) detection model using convolutional neural networks (CNN) to automatically detect gas leaks in a long-distance pipeline. The change of gap pressure is collected when leakage occurs in the pipeline, a...
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Meixian Jiang, Jian Zhou, Jiajia Feng, Lin Zhou, Fangzheng Ma and Guanghua Wu
In this work, we study the integrated berth and crane scheduling problem in a tidal port with multiple terminals, considering the uncertainties, tides, maximum coverage of cranes and interference between cranes. For coping with the uncertainties, a certa...
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Changcai Yang, Zixuan Teng, Caixia Dong, Yaohai Lin, Riqing Chen and Jian Wang
A high-efficiency, nondestructive, rapid, and automatic crop disease classification method is essential for the modernization of agriculture. To more accurately extract and fit citrus disease image features, we designed a new 13-layer convolutional neura...
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Cheng-Jian Lin, Min-Su Huang and Chin-Ling Lee
The applications of computer networks are increasingly extensive, and networks can be remotely controlled and monitored. Cyber hackers can exploit vulnerabilities and steal crucial data or conduct remote surveillance through malicious programs. The frequ...
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Jia-Quan Wang, Zhen-Chao Chang, Jian-Feng Xue, Zhi-Nan Lin and Yi Tang
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Jiawei Zhu, Chao Tao, Xin Lin, Jian Peng, Haozhe Huang, Li Chen and Qiongjie Wang
Analyzing the urban spatial structure of a city is a core topic within urban geographical information science that has the ability to assist urban planning, site selection, location recommendation, etc. Among previous studies, comprehending the functiona...
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Diao Lin, Ruoxin Zhu, Jian Yang and Liqiu Meng
The transit catchment area is an important concept for public transport planning. This study proposes a methodological framework to generate network-based transit catchment areas by walking. Three components of the framework, namely subgraph construction...
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Yujiao Lei, Jiqiu Deng, Jian Lin, Jeffrey M. Dick, Mohammad Naser Lessani and Chaoyue Liu
Errors and inefficiency may be caused by manual processing of complex templates for the preparation and management of engineering survey reports. To address this problem, this paper analyzes the multidimensional variable features of professional field do...
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