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Wen-Chieh Chen, Chun-Liang Lin, Yang-Yi Chen and Hsin-Hsu Cheng
Unmanned aerial vehicles (UAVs) are becoming popular in various applications. However, there are still challenging issues to be tackled, such as effective obstacle avoidance, target identification within a crowd, and specific target tracking. This paper ...
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Chun-Liang Lee, Guan-Yu Lin and Yaw-Chung Chen
To support advanced network services, Internet routers must perform packet classification based on a set of rules called packet filters. If two or more filters overlap, a filter conflict will occur and lead to ambiguity in packet classification. Further,...
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Chun-Liang Lee, Guan-Yu Lin and Yaw-Chung Chen
Advanced network services, such as firewalls, policy-based routing, and virtual private networks, must rely on routers to classify packets into different flows based on packet headers and predefined filter tables. When multiple filters are overlapped, co...
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Chun-Liang Lu, Tsun-Chen Lin
Pág. 53 - 57
In recent years, support vector machine (SVM) based on empirical risk minimization is supervised learning model which has been successfully used in the classification and regression. The standard soft-margin SVM trains a classifier by solving an optimiza...
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Chun-Liang Lin, Hao-Che Hung and Jia-Cheng Li
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Chun-Liang Yeh and Wei-Zuo Lin
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Yi-Ju Tsai, Chia-Sung Lee, Chun-Liang Lin and Ching-Huei Huang
This study addresses the flight-path planning problem for multirotor aerial vehicles (AVs). We consider the specific features and requirements of real-time flight-path planning and develop a rapidly-exploring random tree (RRT) algorithm to determine a pr...
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Yi-Ju Tsai, Chia-Sung Lee, Chun-Liang Lin and Ching-Huei Huang
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Van-Tsai Liu, Hsiang-Chan Huang, Chun-Liang Lin, and Zi-Jie Jian
Pág. 309 - 325
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Chun-Liang Lin, Gean-Pao Lee, and Van-Tsai Liu
Pág. 1401 - 1420
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