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( Yang Jiangtao ),( Shi Zhenming ),( Peng Ming ),( Zhu Chunan ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
On October 10, 2018, a landslide with volume about 2.2×10<sup>6</sup>㎥ occurred in Baige Village, Sichuan Province, China, which blocked the Jinsha River and formed a landslide dam with height of 120m, width of 200m and a storage capacity of about 1.5×10<sup>8</sup>㎥. The reservoir water was naturally discharged and its flood had no effect on the downstream area. On November 3, the second landslide with volume about 8.5×10<sup>6</sup>㎥ occurred in the same point, which further increased the original dam width nearly 50m, and formed a landslide dam with height of 170m, and its storage capacity reached 5.24×10<sup>8</sup>㎥. Due to the large storage capacity and the uncertainty of the breaching of the dam, and the discharge flood generated by its breach can bring great threat to the lives and property in the downstream areas. This paper compares the DABA with the measured data to obtain its discharge flow curve, and further based on Hec-Ras to simulate the flood evolution of Baige landslide dam, and the downstream submergence range has been determined. Finally, the Bayesian method is used to quantify the downstream individual risk and loss of life. The results show that Shangjiang and Judian Town were the most seriously affected. In addition, the quantitative risk assessment results show that the amount of risk is negatively correlated with the distance from the dam site. The casualty rate is low due to the submergence area is basically located in the downstream. However, the property loss of local infrastructure and farmland is more serious.
Ming Yang,Wei-feng SHI 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.11
In view of fault diagnosis of the ship generator , the paper proposes improved fault diagnosis method of ship generator ,which is Optimized Neural Network based on Multi-population Chaos Genetic Algorithm. The results prove that the method effectively solves low precision,slow constringency and local minimum of neural network and improves global search ability, optimizes the rate and precision of fault diagnosis. The method has a certain application prospect for the ship power system generator fault diagnosis.
On Peter Newmark: Translation theory and influence from the Chinese perspective
( Shi Zhuo Yang ),( Zhi Ming Sun ) 한국통역번역학회 2012 FORUM Vol.10 No.2
Peter Newmark etait un celebre traducteur anglais et un theoricien de la traduction. Il etait aussi l`un des representants de la theorie de la traduction de l`ecole linguistique en Occident. Il est connu pour la praticabilite de sa theorie, resultat de sa pratique et son enseignement de traduction. Dans la seconde moitie du 20eme siecle, ses idees ont ete introduites en Chine, stimulant ainsi la recherche scientifique sur la traduction. Sa theorie de la traduction semantique et communicative a fait l`objet d`une etude poussee des theoriciens chinois. En 1994, Newmark a propose une approche correlative a la traduction, remplacant son ancienne theorie par dichotomie (la traduction semantique et communicative). Mais dans quel but Newmark a-t-il apporte ce changement a sa theorie? Quels rapports existent-ils entre ces methodes de traduction? Du point de vue chinoise, en examinant ses approches de traduction et leurs relations, nous en decouvrirons les principes ou theories d`application afin de guider les recherches et l`exercice de la traduction anglo-chinoise.
Shi Yihan,Zhang Ming,Zhao Junshan,Zhang Liu,Cui Xumei,Zhu Xinhua,Jin Dandan,Gong Jiali,Yang Dingyu,Li Jitao 대한금속·재료학회 2022 ELECTRONIC MATERIALS LETTERS Vol.18 No.5
This work used a simple electrochemical reduction method to secondary construct the reduced nickel base (rNi Base) on nickel foam with a nano-core structure. The secondarily constructed base has a large specific surface area, which can increase the mass utilization of the active material. The rNi Base was used as a base for the reduction of nickel on Na+, K+, and NH+4, respectively. MnO2 was electrodeposited under three different cation pre-intercalation treatments, and the mechanism of the effect of different monovalent cations to guide the growth of MnO2 materials was investigated. Finally, rNi/MnO2&Na+ electrode with a special nano cauliflower structure was obtained. The special nanostructure of the electrode enhances its electrochemical performance, possessing 598 F g− 1 ultra-high specific capacitance at a current density of 1 A g− 1 and a high specific capacitance of 307.5 F g− 1 at a high current density of 20 A g− 1, and high specific capacitance maintenance rate of 92.7% after 500 cycles of charging and discharging at a current density of 2 A g− 1. In addition, the symmetrical supercapacitor assembled with this electrode has a very high specific capacitance (401.1 F g− 1 at a current density of 1 A g− 1) and energy density (80.22Wh kg− 1 at a power density of 599.99 W kg− 1).
Shi, Ji-Ying,Zhang, Deng-Yu,Xue, Fei,Li, Ya-Jing,Qiao, Wen,Yang, Wen-Jing,Xu, Yi-Ming,Yang, Ting The Korean Institute of Power Electronics 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.5
This paper presents a moth-flame optimization (MFO)-based maximum power point tracking (MPPT) method for photovoltaic (PV) systems. The MFO algorithm is a new optimization method that exhibits satisfactory performance in terms of exploration, exploitation, local optima avoidance, and convergence. Therefore, the MFO algorithm is quite suitable for solving multiple peaks of PV systems under partial shading conditions (PSCs). The proposed MFO-MPPT is compared with four MPPT algorithms, namely the perturb and observe (P&O)-MPPT, incremental conductance (INC)-MPPT, particle swarm optimization (PSO)-MPPT and whale optimization algorithm (WOA)-MPPT. Simulation and experiment results demonstrate that the proposed algorithm can extract the global maximum power point (MPP) with greater tracking speed and accuracy under various conditions.
Zebra-Crossing Automatic Recognition and Early Warning for Intelligent Driving
Mingli Yang,Hua Shi,Yihui Chen,Xiangjin Ran,Chunhui Xu 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.8
Zebra-crossing Recognition is one of the essential parts of the visual based intelligent vehicle navigation or intelligent driving assistant system. In order to address the real-time and robustness, Zebra-crossing Recognition Method which is based on spatial-temporal correlation has been proposed. Firstly, calibrate a camera mounted on the vehicle by a practical method. Then, according to the prior knowledge such from GPS etc, a judgment whether it's in the Crossing area is made. Next, utilize the bipolar property of Zebra-crossing to extract features. Finally, the recognition results are obtained according to the model constraints. In this paper, proposed methods can improve real time identification of the zebra line by using spatial correlation, reduce the cost of recognition and lower errors during identification. The method overcomes some disadvantages of traditional identification approaches based upon video recognition, for instance higher cost and errors.
Ming Liu,Ya Gao,Yuan Yuan,Kelu Yang,Shuzhen Shi,Jinhui Tian,Junhua Zhang 한국한의학연구원 2021 Integrative Medicine Research Vol.10 No.1
Background: Lianhuaqingwen (LH) has been proven effective for influenza. However, the promotion of LH for the treatment of patients with COVID-19 remains controversial. Therefore, our study aimed to assess the efficacy and safety of Lianhuaqingwen (LH) in treating patients with COVID-19 by a systematic review and meta-analysis. Methods: We conducted the literature search using six electronic databases from December 1, 2019, to June 2, 2020. Cochrane Risk of Bias tool was used to assess the quality of randomized controlled trials. Newcastle-Ottawa Scale was used to assess the quality of case control studies. Agency for Healthcare Research and Quality checklist was used to assess the quality of case series. All analyses were conducted by RevMan 5.3. For outcomes that could not be meta-analyzed were performed a descriptive analysis. Results: Eight studies with 924 patients were included. Three studies were RCTs, three were case control studies, and two were case series. The quality of the included studies was poor. Compared with patients treated by conventional treatment, patients treated by LH combined with conventional treatment have a higher overall effective rate (RR = 1.16, 95%CIs: 1.04∼1.30, P = 0.01) and CT recovery rate (RR=1.21, 95%CIs: 1.02∼1.43, P = 0.03). Patients of LH groups have a lower incidence of diarrhea (5.6% vs.13.4%), and have statistically significant (P = 0.026). But the rate of abnormal liver function in the combined medication group is higher than that in the single LH group. Conclusion: LH combined with conventional treatment seems to be more effective for patients with mild or ordinary COVID-19.