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Zhaohui Meng, Sihai Hu, Ran Sun, Chengzhen Meng, Yaoguo Wu and Xiaofeng Sun
The transport of mobile colloidal particles with organic pollutants in porous media has attracted considerable attention. Aniline and 2,4,6-trinitrotoluene (TNT), as aromatic compounds and key components of energetic materials, are continuously released ...
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Xun Rao, Jiasheng Wang, Wenjing Ran, Mengzhu Sun and Zhe Zhao
One of a map?s fundamental elements is its annotations, and extracting these annotations is an important step in enabling machine intelligence to understand scanned map data. Due to the complexity of the characters and lines, extracting annotations from ...
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Yapin Yang, Ying Sun, Mingsi Chen, Yuekuan Zhou, Ran Wang and Zhengxuan Liu
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Guocheng Zhang, Jixiao Liu, Yushan Sun, Xiangrui Ran and Puxin Chai
This paper aims to focus on the path planning problem of AUV in the marine environment. As well as considering the path length and safe obstacle avoidance, ocean currents should not be ignored as the main factor affecting the navigation energy consumptio...
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Yushan Sun, Xiaokun Luo, Xiangrui Ran and Guocheng Zhang
This research aims to solve the safe navigation problem of autonomous underwater vehicles (AUVs) in deep ocean, which is a complex and changeable environment with various mountains. When an AUV reaches the deep sea navigation, it encounters many underwat...
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Ninghua Sun, Tao Chen, Wenshan Guo and Longya Ran
The problems with the information overload of e-government websites have been a big obstacle for users to make decisions. One promising approach to solve this problem is to deploy an intelligent recommendation system on e-government platforms. Collaborat...
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Yi Liu, Laijun Sun, Hongyi Bai and Zhiyong Ran
Taking a variety of edible oils as the research object, including soybean oil, peanut oil, rapeseed oil, a method based on Near-Infrared Spectroscopy (NIRS) to identify the frying times is proposed to evaluate the quality of frying oil. Ten rounds of fry...
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Yushan Sun, Xiangrui Ran, Guocheng Zhang, Hao Xu and Xiangbin Wang
This study proposed the 3D path planning of an autonomous underwater vehicle (AUV) by using the hierarchical deep Q network (HDQN) combined with the prioritized experience replay. The path planning task was divided into three layers, which realized the d...
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Yushan Sun, Chenming Zhang, Guocheng Zhang, Hao Xu and Xiangrui Ran
In this paper, the three-dimensional (3D) path tracking control of an autonomous underwater vehicle (AUV) under the action of sea currents was researched. A novel reward function was proposed to improve learning ability and a disturbance observer was dev...
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Hao Xu, Guo-Cheng Zhang, Yu-Shan Sun, Shuo Pang, Xiang-Rui Ran and Xiang-Bin Wang
The design, control, and implementation of an autonomous underwater vehicle (AUV) for collecting hydrological information from plateau rivers and lakes are presented in this paper. The hardware and software structures of the control system were previousl...
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