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Liqiang Zhong,Minghua Wang,Daming Li,Shengkai Tang,Tongqing Zhang,Wenji Bian,Xiaohui Chen 한국유전학회 2018 Genes & Genomics Vol.40 No.11
Freshwater gobies Rhinogobius cliffordpopei and R. giurinus are invasive species with particular concern because they have become dominant and were fierce competitors in the invaded areas in Yunnan-Guizhou Plateau (southwest of China). Information about genetic characteristics of R. giurinus have been published, but there were still no relevant reports about R. cliffordpopei. In present study, the complete mitochondrial genome of R. cliffordpopei was determined, which was 16,511 bp in length with A + T content of 51.1%, consisting of 13 protein-coding genes, 22 tRNAs, 2 ribosomal RNAs, and a control region. The gene composition and the structural arrangement of the R. cliffordpopei complete mtDNA were identical to most of other teleosts. Phylogenetic analyses placed R. cliffordpopei in a well-supported monophyletic cluster with other Rhinogobius fish. But the phylogenetic relationship between genus Rhinogobius and Tridentiger remained to be resolved.
Weihua Li,Yipeng Wang,Junlong Guo,Dianbo Ren,Jianfeng Wang,Shengkai Zhu,Jianping Xiao,Shijuan Chen 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.5
This study proposes an improved artificial potential field (APF) by considering the cooperative control of local obstacle avoidance and path tracking for automated vehicles. We established the path gravitational potential field (GPF) based on the scheduled path (SP), including the lateral and longitudinal GPFs, to enable the automated vehicle to quickly return to the SP and track after obstacle avoidance, while maintaining control of speed for the entire process. To address the local optimal solution problem of the classical APF, we proposed a sub-target-point selection strategy based on the information of obstacles and SP and established the GPF of the sub-target points. Thus, the automated vehicle can avoid obstacles and quickly return to the SP. Furthermore, the relative velocity of the automated vehicle and the obstacle was used to establish the velocity repulsion potential field (RPF), which improved the adaptability of the APF to dynamic obstacles. The simulation results indicate that the improved APF is capable of cooperative control of path tracking and local obstacle avoidance. Code is available at https://github.com/xiaowang617/Improve-APF.
Leiting Sun,Jianqiang Tao,Chunfa Li,Shengkai Wang,Ziqiang Tong 대한토목학회 2018 KSCE JOURNAL OF CIVIL ENGINEERING Vol.22 No.9
The purpose of this paper is to optimize the signal timing through multi-agent simulation technology. Firstly, a conceptual model of the actual intersection is described. Secondly, the social dynamics model of the vehicle and pedestrian evolution rules are established from the micro perspective, which is simulated respectively by Anylogic and Synchro on this basis. Finally, the signal timing strategies for the different vehicle priorities are discovered through the heuristic algorithm. The case study shows that: ①The actual signal timing is not reasonable. ②The optimization strategies of signal timing can improve traffic efficiency. ③By comparing the signal timing strategies of different vehicle priority, the study shows that the Anylogic is more superior to the Synchro, which provides a new way to solve the traffic congestion.