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      • An Empirical Study on Profitability and Capital Structure of the Agricultural Listed Companies

        Ji Ke,Yazhou Xiong 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.4

        Based on the operating status and growth level of the agriculture listed companies in China, this paper makes a study on the growth of the agricultural listed companies from their panel data of 2013 Annual Report. And the enterprises profitability is one of core elements to make the corporate financial analysis; corporate capital structure directly has an effect on the business performance and long-term development. This paper conducts 4 indicators which mainly affect the profitability of enterprise, uses the method of factor analysis to make the comprehensive evaluation score on the 18 representative agricultural listed companies in China. As the asset-liability ratio is a main indicator to reflect the capital the structure, the correlation analysis and regression analysis are carried on between the profitability and the asset-liability ratio of the enterprise. Finally the study analyzes the relationship between profitability and capital structure of the agriculture listed companies, and it shows that there is a slight negative correlation on them.

      • KCI등재

        Design and Realization of a Digital PV Simulator with a Push-Pull Forward Circuit

        Jike Zhang,Shengtie Wang,Zhihe Wang,Lixin Tian 전력전자학회 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.3

        This paper presents the design and realization of a digital PV simulator with a Push-Pull Forward (PPF) circuit based on the principle of modular hardware and configurable software. A PPF circuit is chosen as the main circuit to restrain the magnetic biasing of the core for a DC-DC converter and to reduce the spike of the turn-off voltage across every switch. Control and I/O interface based on a personal computer (PC) and multifunction data acquisition card, can conveniently achieve the data acquisition and configuration of the control algorithm and interface due to the abundant software resources of computers. In addition, the control program developed in Matlab/Simulink can conveniently construct and adjust both the models and parameters. It can also run in real-time under the external mode of Simulink by loading the modules of the Real-Time Windows Target. The mathematic models of the Push-Pull Forward circuit and the digital PV simulator are established in this paper by the state-space averaging method. The pole-zero cancellation technique is employed and then its controller parameters are systematically designed based on the performance analysis of the root loci of the closed current loop with ki and RL as variables. A fuzzy PI controller based on the Takagi-Sugeno fuzzy model is applied to regulate the controller parameters self-adaptively according to the change of RL and the operating point of the PV simulator to match the controller parameters with RL. The stationary and dynamic performances of the PV simulator are tested by experiments, and the experimental results show that the PV simulator has the merits of a wide effective working range, high steady-state accuracy and good dynamic performances.

      • SCIESCOPUSKCI등재

        Design and Realization of a Digital PV Simulator with a Push-Pull Forward Circuit

        Zhang, Jike,Wang, Shengtie,Wang, Zhihe,Tian, Lixin The Korean Institute of Power Electronics 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.3

        This paper presents the design and realization of a digital PV simulator with a Push-Pull Forward (PPF) circuit based on the principle of modular hardware and configurable software. A PPF circuit is chosen as the main circuit to restrain the magnetic biasing of the core for a DC-DC converter and to reduce the spike of the turn-off voltage across every switch. Control and I/O interface based on a personal computer (PC) and multifunction data acquisition card, can conveniently achieve the data acquisition and configuration of the control algorithm and interface due to the abundant software resources of computers. In addition, the control program developed in Matlab/Simulink can conveniently construct and adjust both the models and parameters. It can also run in real-time under the external mode of Simulink by loading the modules of the Real-Time Windows Target. The mathematic models of the Push-Pull Forward circuit and the digital PV simulator are established in this paper by the state-space averaging method. The pole-zero cancellation technique is employed and then its controller parameters are systematically designed based on the performance analysis of the root loci of the closed current loop with $k_i$ and $R_L$ as variables. A fuzzy PI controller based on the Takagi-Sugeno fuzzy model is applied to regulate the controller parameters self-adaptively according to the change of $R_L$ and the operating point of the PV simulator to match the controller parameters with $R_L$. The stationary and dynamic performances of the PV simulator are tested by experiments, and the experimental results show that the PV simulator has the merits of a wide effective working range, high steady-state accuracy and good dynamic performances.

      • Parallel scalability in speech recognition

        Kisun You,Jike Chong,Youngmin Yi,Gonina, E.,Hughes, C.J.,Yen-Kuang Chen,Wonyong Sung,Keutzer, K. IEEE 2009 IEEE signal processing magazine Vol.26 No.6

        <P>Parallel scalability allows an application to efficiently utilize an increasing number of processing elements. In this article, we explore a design space for parallel scalability for an inference engine in large vocabulary continuous speech recognition (LVCSR). Our implementation of the inference engine involves a parallel graph traversal through an irregular graph-based knowledge network with millions of states and arcs. The challenge is not only to define a software architecture that exposes sufficient fine-grained application concurrency but also to efficiently synchronize between an increasing number of concurrent tasks and to effectively utilize parallelism opportunities in today's highly parallel processors. We propose four application-level implementation alternatives called algorithm styles and construct highly optimized implementations on two parallel platforms: an Intel Core 17 multicore processor and a NVIDIA GTX280 manycore processor. The highest. performing algorithm style varies with the implementation platform. On a 44-mm speech data set, we demonstrate substantial speedups of 3.4 X on Core i7 and 10.5 X on GTX280 compared to a highly optimized sequential implementation on Core 17 without sacrificing accuracy. The parallel implementations contain less than 2.5% sequential overhead, promising scalability and significant potential for further speedup on future platforms.</P>

      • KCI등재

        Structural damage identification using cloud model based fruit fly optimization algorithm

        Tongyi Zheng,Jike Liu,Wei-Li Luo,Zhongrong Lu 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.67 No.3

        In this paper, a Cloud Model based Fruit Fly Optimization Algorithm (CMFOA) is presented for structural damage identification, which is a global optimization algorithm inspired by the foraging behavior of fruit fly swarm. It is assumed that damage only leads to the decrease in elementary stiffness. The differences on time-domain structural acceleration data are used to construct the objective function, which transforms the damaged identification problem of a structure into an optimization problem. The effectiveness, efficiency and accuracy of the CMFOA are demonstrated by two different numerical simulation structures, including a simply supported beam and a cantilevered plate. Numerical results show that the CMFOA has a better capacity for structural damage identification than the basic Fruit Fly Optimization Algorithm (FOA) and the CMFOA is not sensitive to measurement noise.

      • KCI등재

        An improved Big Bang-Big Crunch algorithm for structural damage detection

        Zhiyi Yin,Jike Liu,Wei-Li Luo,Zhongrong Lu 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.68 No.6

        The Big Bang-Big Crunch (BB-BC) algorithm is an effective global optimization technique of swarm intelligence with drawbacks of being easily trapped in local optimal results and of converging slowly. To overcome these shortages, an improved BB-BC algorithm (IBB-BC) is proposed in this paper with taking some measures, such as altering the reduced form of exploding radius and generating multiple mass centers. The accuracy and efficiency of IBB-BC is examined by different types of benchmark test functions. The IBB-BC is utilized for damage detection of a simply supported beam and the European Space Agency structure with an objective function established by structural frequency and modal data. Two damage scenarios are considered: damage only existed in stiffness and damage existed in both stiffness and mass. IBB-BC is also validated by an existing experimental study. Results demonstrated that IBB-BC is not trapped into local optimal results and is able to detect structural damages precisely even under measurement noise.

      • SCIESCOPUS

        Structural damage identification using cloud model based fruit fly optimization algorithm

        Zheng, Tongyi,Liu, Jike,Luo, Weili,Lu, Zhongrong Techno-Press 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.67 No.3

        In this paper, a Cloud Model based Fruit Fly Optimization Algorithm (CMFOA) is presented for structural damage identification, which is a global optimization algorithm inspired by the foraging behavior of fruit fly swarm. It is assumed that damage only leads to the decrease in elementary stiffness. The differences on time-domain structural acceleration data are used to construct the objective function, which transforms the damaged identification problem of a structure into an optimization problem. The effectiveness, efficiency and accuracy of the CMFOA are demonstrated by two different numerical simulation structures, including a simply supported beam and a cantilevered plate. Numerical results show that the CMFOA has a better capacity for structural damage identification than the basic Fruit Fly Optimization Algorithm (FOA) and the CMFOA is not sensitive to measurement noise.

      • SCISCIESCOPUS

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