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Xishuang Li, Lejun Liu, Bigui Huang, Qingjie Zhou and Chengyi Zhang
Autonomous Underwater Vehicle (AUV)-based multibeam bathymetry, sub-bottom profiles, and side-scan sonar images were collected in 2009 and 2010 to map the geomorphic features along the axial zone of a canyon (referred to as C4) within the canyon system d...
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Liteng Zeng, Yuli Hu, Chengyi Lu, Guang Pan and Mengjie Li
The accuracy of Peukert?s battery capacity equation may decrease under the conditions of variable current and variable temperatures. Some researchers have previously tried to overcome the lack of C-rate change. However, the dependence of battery capacity...
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Jue Ma, Dejun Ning, Chengyi Zhang and Shipeng Liu
Prioritized experience replay (PER) is an important technique in deep reinforcement learning (DRL). It improves the sampling efficiency of data in various DRL algorithms and achieves great performance. PER uses temporal difference error (TD-error) to mea...
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Chengyi Qu, Xu Xi, Jinglong Du and Tong Wu
Traditional frequency-domain watermarking algorithms for vector geographic data suffer from disadvantages such as the random watermark embedding position, unpredictable embedding strength, and difficulty in resisting multiple attacks at the same time. To...
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Peiyu Chen, Chengyi Lu, Zhaoyong Mao, Wenlong Tian, Liteng Zeng, Mengjie Li, Jiming Zhang and Bo Li
Storage and discharge conditions of primary lithium batteries are studied and the capacity estimation models during the whole life cycle of underwater vehicles is developed based on temperature. The storage experiments for 90 days at different temperatur...
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Chengyi Liu, Fang Wu, Xianyong Gong, Ruixing Xing and Jiawei Du
The ditch pattern reflects the distribution characteristics of an agricultural drainage system and needs to be detected to enrich the data source before map generalization. Due to several breaks, the connectivity of the ditches is destroyed between ditch...
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Lei Zhang, Ping Wang, Chengyi Huang, Bo Ai and Wenjun Feng
Terrain rendering is an important issue in Geographic Information Systems and other fields. During large-scale, real-time terrain rendering, complex terrain structure and an increasing amount of data decrease the smoothness of terrain rendering. Existing...
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Chengyi Zhang and David Arditi
Effective progress control is vital for steering infrastructure construction to completion with minimum delay. Walking through the infrastructure project site to record progress in different activities is time-consuming, requiring information extracted f...
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Huimin Li, Chengyi Zhang, Siyuan Song, Sevilay Demirkesen and Ruidong Chang
Quality control is essential to a successful modular construction project and should be enhanced throughout the project from design to construction and installation. The current methods for analyzing the assembly quality of a removable floodwall heavily ...
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Menglin Li, Xueqiang Gu, Chengyi Zeng and Yuan Feng
Reinforcement learning, as a branch of machine learning, has been gradually applied in the control field. However, in the practical application of the algorithm, the hyperparametric approach to network settings for deep reinforcement learning still follo...
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