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      • Moving Object Detection Based on Improved ViBe Algorithm

        Gu Bo,Song Kefeng,Qiu Daoyin,Zhang Hongtao 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.12

        In this paper, an improved ViBe background subtraction algorithm is proposed for dealing with ghost problem during the process of moving object detection. The ghost areas in image can be detected based on the theory that the histogram distributions of ghost areas have similarity distribution characteristics. However, the histogram distributions of real moving objects change with the real objects moving. The influence of ghost areas on moving object detection is eliminated. The improved ViBe, the original ViBe and the Gauss mixture model are compared and analyzed, The results show that the improved ViBe can effectively eliminate ghost areas, and has high real-time.

      • KCI등재

        Research on Aero-engine Maneuvering Load Distribution Based on POT Model

        Xuming Niu,Hongtao Liu,Cong Xu,Zhigang Sun,Yingdong Song,Qi Lu 한국항공우주학회 2023 International Journal of Aeronautical and Space Sc Vol.24 No.3

        The maneuvering load is significantly correlated with the pilot's operation, thus indicating the maneuvering motion of the aero-engine during the actual flight. Accordingly, the establishment of accurate distribution models is of great engineering significance and high theoretical value for the compilation of load spectrum. In this paper, to analyzing the statistics of the normal overload coefficient (NOC) spectrum of aero-engine, a mixed distribution model is built in accordance with the Peak Over Threshold (POT) model. A threshold selection method relating to usage is proposed based on the correlation between the rotating speed and the normal overload coefficient. The normal overload coefficient data which is higher than the threshold is defined as extreme load, while the normal overload coefficient data which is lower than the threshold is defined as medium–low load. The multi-correlation coefficient between the model fitting distribution curve and the measured normal overload coefficient distribution curve lays a basis for judging. As revealed by the results, the measured normal overload coefficient finds good agreement with the mixed distribution model.

      • Peroxisome Proliferator-Activated Receptor-Gamma Pro12Ala Polymorphism Could be a Risk Factor for Gastric Cancer

        Zhao, Jing,Zhi, Zheng,Song, Guangyao,Wang, Juan,Wang, Chao,Ma, Huijuan,Yu, Xian,Sui, Aixia,Zhang, Hongtao Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.6

        Background: Due to the strong inhibitory effects of $PPAR{\gamma}$ gene on the growth of cancer cells, the role of Pro12Ala polymorphism in $PPAR{\gamma}$ gene has been extensively investigated in cancer recently. However, the results were inconsistent according to cancer type. The aim of this study was to comprehensively evaluate the $PPAR{\gamma}$ Pro12Ala polymorphism and gastric cancer susceptibility. Materials and Methods: Search strategies were conducted in Pubmed, Medline (Ovid), Chinese biomedical database (CBM), China national knowledge infrastructure (CNKI), VIP, and Wanfang database, covering all publications, with the last search up to November 01, 2014. The strength of association between $PPAR{\gamma}$ Pro12Ala polymorphism and gastric cancer risk was assessed by OR with 95%CI. Results: A total of 546 cases and 827 controls in 5 case-control studies were included in this meta-analysis. The results indicated that the variant G allele carriers (CG+GG) had a 2.31 times higher risk for gastric cancer when compared with the homozygote CC (odds ratio (OR)=2.31, 95% confidence interval (CI)=1.67-3.21 for CG+GG vs. CC). In the subgroup analysis by ethnicity, significantly elevated risks were both found in Asians (OR=2.56, 95% CI=1.42-4.64) and Caucasians (OR=2.20, 95% CI=1.48-3.25). Similarly, in the subgroup analysis by H. pylori status, a significantly increased risk was identified in H. pylori (+) populations (OR=3.68, 95%CI=2.07-6.52), but not in H. pylori(-) populations (OR=1.17, 95%CI=0.58-2.39). Conclusions: This pooled analysis suggested that the $PPAR{\gamma}$ Pro12Ala polymorphism could be an independent predictive risk factor for gastric cancer especially in H. pylori infected populations in Asians and Caucasians. Nevertheless, prospectively designed cohort studies are needed to further investigate gene-gene and gene-environment interactions to confirm the combined effects of $PPAR{\gamma}$ Pro12Ala polymorphisms and H. pylori infection on gastric cancer risk.

      • SCIESCOPUSKCI등재

        Research on the cable-driven endoscopic manipulator for fusion reactors

        Guodong Qin,Yong Cheng,Aihong Ji,Hongtao Pan,Yang Yang,Zhixin Yao,Yuntao Song Korean Nuclear Society 2024 Nuclear Engineering and Technology Vol.56 No.2

        In this paper, a cable-driven endoscopic manipulator (CEM) is designed for the Chinese latest compact fusion reactor. The whole CEM arm is more than 3000 mm long and includes end vision tools, an endoscopic manipulator/control system, a feeding system, a drag chain system, support systems, a neutron shield door, etc. It can cover a range of ±45° of the vacuum chamber by working in a wrap-around mode, etc., to meet the need for observation at any position and angle. By placing all drive motors in the end drive box via a cable drive, cooling, and radiation protection of the entire robot can be facilitated. To address the CEM motion control problem, a discrete trajectory tracking method is proposed. By restricting each joint of the CEM to the target curve through segmental fitting, the trajectory tracking control is completed. To avoid the joint rotation angle overrun, a joint limit rotation angle optimization method is proposed based on the equivalent rod length principle. Finally, the CEM simulation system is established. The rationality of the structure design and the effectiveness of the motion control algorithm are verified by the simulation.

      • KCI등재

        One-Step Synthesis of Si@Ti3+ Self-Doped TiO2 Heterostructure with Enhanced Photocatalytic Performance

        Xingquan Zhang,Yousong Liu,Hongjia Ji,Jun Wang,Jin Chen,Jichuan Huo,Hongtao Song 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.10

        Heterostructure construction and doping provide two powerful routes for manipulating charge carrier separation, electrical transport, optical response, and interface kinetics for photocatalysis. However, the literature reported synthetic methods until now were very time-consuming. In this work, a facile one-pot hydrothermal reaction route was designed to synthesize Si nanospheres @ Ti3+ self-doped TiO2 nanosheet heterostructure with tunable Ti3+ doping levels at different hydrothermal temperatures. It was found that the precursor Si nanospheres not only serve as supporter of TiO2 nanosheets, but also are the inducement of Ti 3+ doping. Due to the synergistic effect of Ti3+ doping and Si/TiO2 heterojunctions, the optimal sample exhibited 6.74-fold enhancement for rhodamine B (RhB) photodegradation under Xe lamp irradiation compared with the pristine TiO2. The construction of Si/TiO2 heterojunction, as well as the introduced Ti3+ doping and associated oxygen vacancies, extended the optical absorption of TiO2 into visible region and enhanced the separation efficiency of photogenerated electron-hole pairs, which finally resulted in improved photocatalytic performance of the Si@Ti3+ self-doped TiO2 core–shell nanospheres. The designed hydrothermal route opens up an opportunity to the synthesis of doped hetero-photocatalysts in an efficient way.

      • SCIESCOPUSKCI등재

        Position error compensation of the multi-purpose overload robot in nuclear power plants

        Qin, Guodong,Ji, Aihong,Cheng, Yong,Zhao, Wenlong,Pan, Hongtao,Shi, Shanshuang,Song, Yuntao Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.8

        The Multi-Purpose Overload Robot (CMOR) is a key subsystem of China Fusion Engineering Test Reactor (CFETR) remote handling system. Due to the long cantilever and large loads of the CMOR, it has a large rigid-flexible coupling deformation that results in a poor position accuracy of the end-effector. In this study, based on the Levenberg-Marquardt algorithm, the spatial grid, and the linearized variable load principle, a variable parameter compensation model was designed to identify the parameters of the CMOR's kinematics models under different loads and at different poses so as to improve the trajectory tracking accuracy. Finally, through Adams-MATLAB/Simulink, the trajectory tracking accuracy of the CMOR's rigid-flexible coupling model was analyzed, and the end position error exceeded 0.1 m. After the variable parameter compensation model, the average position error of the end-effector became less than 0.02 m, which provides a reference for CMOR error compensation.

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