How Does Financial Technology Affect the Credit and Risk of Commercial Banks in China?

Miao Cheng(Miao Cheng) 아시아무역학회 2022 Journal of Asia Trade and Business Vol.9 No.1

Purpose - Fintech integrates the characteristics of “finance + technology”, applying emerging technologies such as big data, cloud computing, artificial intelligence, and blockchain, leading to a great challenge to existing financial service providers. With the rise in development of financial technology, Chinese fintech firms and online payments including third-party and mobile payments systems have attracted worldwide attention. Therefore, this paper aims to study the potential impact of financial technology on the traditional credit business of the banking sector from the perspectives of credit expansion and risk-sharing. Moreover, this study also explores how fintech influences Chinese commercial banks with the moderating effect of corporate governance. Design/Methodology/Approach - The study used a firm-level panel data of 34 Chinese banks over a period of 10 years from 2011 to 2020. The study applies a fixed regression method for hypotheses examining the relationship between fintech development and the credit supply and risk-taking of commercial banks. Findings - The results indicate that the development of fintech has significant impacts on the scale of credit loan and the level of risk bearing. Further research finds that board independence as a moderator positively and significantly influences fintech and bank credit loan scales, while board independence positively but insignificantly affects fintech and risk control in the banking sector. Research Implications - This paper enriches our understanding of the impacts of fintech on traditional financial institutions, and provides a new method for the operations of the banking sector. In addition, this paper provides a new research perspective for managers, especially in Chinese banking, to expand credit business under the moderating role of corporate governance mechanism.

Continuous Conduction Mode Soft-Switching Boost Converter and its Application in Power Factor Correction

Miao-miao Cheng,Zhiguo Liu,Yueyue Bao,Zhongjie Zhang 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.5

Continuous conduction mode (CCM) boost converters are commonly used in home appliances and various industries because of their simple topology and low input current ripples. However, these converters suffer from several disadvantages, such as hard switching of the active switch and reverse recovery problems of the output diode. These disadvantages increase voltage stresses across the switch and output diode and thus contribute to switching losses and electromagnetic interference. A new topology is presented in this work to improve the switching characteristics of CCM boost converters. Zero-current turn-on and zero-voltage turn-off are achieved for the active switches. The reverse-recovery current is reduced by soft turning-off the output diode. In addition, an input current sensorless control is applied to the proposed topology by pre-calculating the duty cycles of the active switches. Power factor correction is thus achieved with less effort than that required in the traditional method. Simulation and experimental results verify the soft-switching characteristics of the proposed topology and the effectiveness of the proposed input current sensorless control.

Continuous Conduction Mode Soft-Switching Boost Converter and its Application in Power Factor Correction

Cheng, Miao-miao,Liu, Zhiguo,Bao, Yueyue,Zhang, Zhongjie The Korean Institute of Power Electronics 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.5

Continuous conduction mode (CCM) boost converters are commonly used in home appliances and various industries because of their simple topology and low input current ripples. However, these converters suffer from several disadvantages, such as hard switching of the active switch and reverse recovery problems of the output diode. These disadvantages increase voltage stresses across the switch and output diode and thus contribute to switching losses and electromagnetic interference. A new topology is presented in this work to improve the switching characteristics of CCM boost converters. Zero-current turn-on and zero-voltage turn-off are achieved for the active switches. The reverse-recovery current is reduced by soft turning-off the output diode. In addition, an input current sensorless control is applied to the proposed topology by pre-calculating the duty cycles of the active switches. Power factor correction is thus achieved with less effort than that required in the traditional method. Simulation and experimental results verify the soft-switching characteristics of the proposed topology and the effectiveness of the proposed input current sensorless control.

Two New Phenolic Glycosides from Hypoxis aurea Lour

Cheng, Zhong-Quan,Yang, Dan,Liu, Yu-Qing,Hu, Jiang-Miao,Jiang, He-Zhong,Wang, Peng-Cheng,Li, Ning,Zhou, Jun,Zhao, You-Xing Korean Chemical Society 2009 Bulletin of the Korean Chemical Society Vol.30 No.10

Effect of Turbulent Fluctuation on Settling Behavior of Dredged Slurry in Sheared Condition

Miao-miao Song,Gui-zhong Xu,Jie Yin,Wei-juan Geng,Zhi-yan Zhou,Cheng-chun Qiu 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.4

For the land shortage problem upon the city development in coastal areas, it is of great importance to improve the overall understanding of the settlement behavior of dredged slurry and determine the required site water storage capacity as well as the mechanical properties of the newly formed dredged slurry. This paper presents an experimental investigation on the effect of turbulent fluctuation on the settling behavior of dredged slurry in sheared condition via a self-developed testing apparatus namely double cylinder settling column. Test results showed that the settling velocity of the soil-water interface initially increased then decreased with the increasing rotation speed of the inner column. The interface would disappear and a stable suspended layer was observed when the rotation speed was greater than 20 rad/min, where water contents and grain composition were not changed over the depth. The particle content was closer to that of the original sample as the rotation speed kept increasing in the suspended layer. It was found that the stabilized flocs were gradually broken down by the turbulence effect existing in the sheared slurry. Moreover, the stabilized flocs were losing the stability gradually as the flowing velocity increased till 10 rad/min and the floc structure was broken down completely once the flowing velocity was greater than 20 rad/min.

Semantic Behavior of Indexed Co-inductive Data Type in Fibrational Setting

Miao De-cheng,Xi Jian-qing,Jiang Chang-jin,Liang Yong-lin 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.6

Traditional methods such as category theory and coalgebra have some drawbacks to analyze semantic behavior of indexed co-inductive data type. Aiming at the problem above, this paper explored indexed co-inductive data type in programming by Fibrations theory. Our main work was that we firstly made some basic logical structures of indexed co-inductive data type over a fibration such as truth and quotient functor; using endo-functor in base categories and their equation-preserving lifting in total categories, then we analyzed semantic behavior of indexed co-inductive data type; at last we briefly introduced applications of Fibrations theory on indexed co-inductive data type by example. Compared with traditional methods, brief descriptions and flexible expansibility of Fibrations theory can analyze semantic behavior of indexed co-inductive data type accurately, and superior abstractness of Fibrations theory doesn’t rely on particular computing environments to compute semantics.

Two New Phenolic Glycosides from Hypoxis aurea Lour

Zhong-Quan Cheng,Dan Yang,Yu-Qing Liu,Jiang-Miao Hu,He-Zhong Jiang,Peng-Cheng Wang,Jun Zhou,You-Xing Zhao,Ning Li 대한화학회 2009 Bulletin of the Korean Chemical Society Vol.30 No.10

A Back Propagation Neural Network with Double Learning Rate for PID Controller in Phase-Shifted Full-Bridge Soft-switching Power Supply

Yan-Ming Cheng,Cheng Liu,Jing Wu,He-Miao Liu,Il-Kyoo Lee,Jing Niu,조주필,구경완,Min-Woo Lee,우덕근 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.6

This paper mainly focuses on the control strategy for phase-shifting full-bridge soft switching electrolytic silver power supply based on Zero Voltage Switching (ZVS) soft switching technology. Taking into consideration the low performance of traditional PID control for phase-shifting full-bridge soft-switching, this paper introduce a PID improved by Back Propagation (BP) neural network with one single learning rate which is used to calculate weights from the input layer to the hidden layer and weights from the hidden layer to the output layer. After testing, it is found that setting independent learning rate for calculation of weights from the input layer to the hidden layer and weights from the hidden layer to the output layer which will not have an adverse eff ect on the design of the controller. Instead, the learning rate can be set according to the respective characteristics of the weights between the two layers, which is called double learning rate BP neural network PID. The simulation results indicate that compared with the single learning rate BP neural network PID control, the double learning rate BP neural network control has higher response speed, less over-shoot, short time to enter the steady state and strong immunity.

A new power supply strategy for high power rectifying units in electrolytic copper process

Liu He-Miao,Zhao Yu-Lian,Cheng Yan-Ming,Wu Jing,Al Shurafa Mahmoud A. M.,Liu Cheng,Lee Il-Kyoo 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.2

For achieving the minimum energy consumption in electrolytic copper process, this paper proposes a power supply optimization strategy based on the improved BP neural network for high-power electrolytic copper rectifying units to eff ectively improve the utilization rate of electric energy, reduce the production cost, and achieve high effi ciency and energy saving. Aiming to operation scenarios including normal operation of rectifi ers, fault of random one rectifi er, fault of random two rectifi ers and number change of electrolytic tanks, the output current of each rectifi er, transformer gears and control angle of thyristor are obtained under these four scenarios by the proposed power supply strategy. The simulation results indicate that compared with BP neural network and PSO optimizing BP(PSO-BP)neural network, the prediction error of power supply strategy of GA optimizing BP (GA-BP) neural network is the minimum. Consequently, the optimal control of the output current of each rectifi er is obtained by using GA-BP neural network, and the stabilized current precision of total output current can be kept at 0.003–0.005, which verifi es the eff ectivity and feasibility of the proposed power supply optimization strategy, which provides valuable guidance and reference for the future design of high-power power supply system in electrolytic copper or other electrolytic metals.

Morphological Factors and Cardiac Doses in Whole Breast Radiation for Left-sided Breast Cancer

Guan, Hui,Dong, Yuan-Li,Ding, Li-Jie,Zhang, Zi-Cheng,Huang, Wei,Liu, Cheng-Xin,Fu, Cheng-Rui,Zhu, Jian,Li, Hong-Sheng,Li, Miao-Miao,Li, Bao-Sheng Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.7

Background: To investigate the impact of the breast size, shape, maximum heart depth (MDH), and chest wall hypotenuse (the distance connecting middle point of the sternum and the length of lung draw on the selected transverse CT slice) on the volumetric dose to heart with whole breast irradiation (WBI) of left-sided breast cancer patients. Materials and Methods: Fifty-three patients with left-sided breast cancer undergoing adjuvant intensity-modulated radiotherapy (IMRT) were enrolled in the study. The primary breast size and shape, MHD and DCWH (chest wall hypotenuse) were contoured on radiotherapy (RT) planning CT slices. The dose data of hearts were obtained from the dose-volume histograms (DVHs). Data were analyzed by one-way analysis of variance (ANOVA), Student's t-test and linear regression analysis. Results: Breast size was independent of heart dose, whereas breast shape, MHD and DCWH were correlated with heart dose. The shapes of breasts were divided into four types, as the flap type, hemisphere type, cone type and pendulous type with heart mean dose being $491.8{\pm}234.6cGy$, $752.7{\pm}219.0cGy$, $620.2{\pm}275.7cGy$, and $666.1{\pm}238.0cGy$, respectively. The flap type of breasts shows a strong statistically reduction in heart dose, compared to others (p=0.008 for V30 of heart). DCWH and MHD were found to be the most important parameters correlating with heart dose in WBI. Conclusions: More attention should be paid to the heart dose of non-flap type patients. The MHD was found to be the most important parameter to correlate with heart dose in tangential WBI, closely followed by the DCWH, which could help radiation oncologists and physicsts evaluate heart dose and design RT plan in advance.