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Shitu Chen, Ling Feng, Xuteng Bao, Zhe Jiang, Bowen Xing and Jingxiang Xu
Path planning is crucial for unmanned surface vehicles (USVs) to navigate and avoid obstacles efficiently. This study evaluates and contrasts various USV path-planning algorithms, focusing on their effectiveness in dynamic obstacle avoidance, resistance ...
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Dan Wang, Liqiang Liu, Yueyang Ben, Pingan Dai and Jiancheng Wang
Position errors of inertial navigation systems (INS) increase over time after long-term voyages of the autonomous underwater vehicle. Terrain-aided navigation (TAN) can effectively reduce the accumulated error of the INS. However, traditional TAN algorit...
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Farah Nur Arina Baharudin, Nor Azlina Ab. Aziz, Mohamad Razwan Abdul Malek, Anith Khairunnisa Ghazali and Zuwairie Ibrahim
A comfortable indoor environment contributes to a better quality of life and wellbeing for its occupants. The indoor temperature, lighting, and air quality are the main controlling factors of user comfort levels. The optimum control of the lighting, air ...
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Yanhong Lin, Jing Wang, Xiaolin Li, Yuanzi Zhang and Shiguo Huang
Quantitative Structure?Activity Relationship (QSAR) aims to correlate molecular structure properties with corresponding bioactivity. Chance correlations and multicollinearity are two major problems often encountered when generating QSAR models. Feature s...
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Weicheng Sun, Wenchuan Zang, Chao Liu, Tingting Guo, Yunli Nie and Dalei Song
Underwater gliders are prevailing in oceanic observation nowadays for their flexible deployment and low cost. However, the limited onboard energy constrains their application, hence the motion pattern optimization and energy analysis are the key to maxim...
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Syuan-Yi Chen, Zi-Jie Chien, Wei-Yen Wang and Hsin-Han Chiang
Linear motors (LMs) are widely used in numerous industry automation where precise and fast motions are required to convert electric energy into linear actuation without the need of any switching mechanism. This study aims to develop a control strategy of...
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Weijia Chen and Yancai Xiao
The Ensemble Empirical Mode Decomposition (EEMD) algorithm has been used in bearing fault diagnosis. In order to overcome the blindness in the selection of white noise amplitude coefficient e in EEMD, an improved artificial bee colony algorithm (IABC) is...
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Siyu Chen, Guohua Fang, Xianfeng Huang and Yuhong Zhang
Prediction of water quality which can ensure the water supply and prevent water pollution is essential for a successful water transfer project. In recent years, with the development of artificial intelligence, the backpropagation (BP) neural network has ...
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Jiuyuan Huo and Liqun Liu
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Jia Liu and Shuwei Wang
For environmentally conscious and sustainable manufacturing, many more manufacturers are acting to recycle and remanufacture their post-consumed products. The most critical process of remanufacturing is disassembly, since it allows for the selective extr...
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