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( Guey Jan Chiou ) 한국국방연구원 2007 The Korean Journal of Defense Analysis Vol.19 No.1
The establishment of defense technology policies is highly complex. For example, domestic issues include technology capability, economic conditions, market size, and vision of the national military establishment. Meanwhile, international issues include threats from enemy nations, existing alliances, and the international arms market competition. Furthermore, due to the interactions among the above issues, a dynamic complexity phenomenon arises in developing defense technology policy. Unlike some of the most industrialized countries such as Europe and the United States, the establishment of defense technology policies in newly industrialized countries (NICs) in East Asia is rather difficult and serious. This study analyzes the situation of the seven largest arm-importing nations, assesses the efficiency of their military expenditure in enhancing military critical technologies (MCTs). Taiwan, the largest arms importer, is then adopted as a case study to analyze the characteristics and structures of defense technology development, while demonstrating how NICs in East Asia should establish defense technology development policies based on a macroscopic perspective and considering both national interests and an international perspective. Additionally, this study uses an Expansionist perspective to undertake a layerby- layer expansion of the issues involved in defense technology development, and divides these issues into three levels, comprising defense, national, and international levels. The Causal Loops of System Dynamics are also adopted to interpret the track record of defense technology development and the dynamic complexity observed during investigation of these issues. Finally, a business model and crucial suggestions for the defense technology development in NICs is proposed by considering how to pursue long-term national interest and long-run economic growth of defense market.
China’s Defense Industry Development Policy—With Focus on the Implications Using the Dynamic Model
Chiou-Guey Jan,Min Su 한국국방연구원 2023 The Korean Journal of Defense Analysis Vol.35 No.1
This study explores seven decades of development and evolution in China’s defense industry (DI) policy since 1949 via Systems Thinking methodology; to construct the issue interlinked by dynamic, complex, domestic and international factors; and to propose a dynamic model for the construction of China’s armament systems. Furthermore, this study will attempt to elaborate how China, based on its traditional philosophy of “army integrated into civilian support and sustained through the people,” establishes a win–win–win situation of DI development. This study finds that China uses DI development to lead civil industry upgrades and, with its colossal economic scale, helps to boost overall macroeconomic growth. China then applies its economic and industrial advantages to support defense building. In this way, a positive feedback cycle mutually supported by defense building, technological and economic development is created. With the trend toward the commercialization of global armaments, this dynamic model is worthy of reference for developing countries, newly industrialized countries, and those countries which are facing the issue of DI transformation.
Adaptive PI gain Control to Realize Sinusoidal Ripple Current Charging
Jen-Guey Chen,Yong-Duk Lee,Sung-Yeul Park 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6
This paper presents the adaptive PI gain control to regulate sinusoidal ripple current, which is for battery charging applications. Typically, sinusoidal ripple current charging (SRC) is an outstanding charging algorithm due to its high charging efficiency. In order to perform SRC, the frequency sweep function and regulation of high frequency ripple current are required. The typically designed charger would not be able to satisfy the aforementioned requirements because the control bandwidth of a PI controller is designed for constant current profile. Therefore, the fixed PI gain control is limited to regulate the wide range frequency of ripple current. This paper proposes the adaptive PI gain control based on Model Reference Adaptive Control so that it can regulate variable frequency of charging ripple current. The proposed approach is realized for an existing charger without any change of switching devices. As a result, there is no attenuation and phase delay under variable ripple frequency condition. The performance of current control is compared with conventional fixed PI gain and the proposed adaptive variable gain. The proposed method is verified by simulation and experimental results.
The Feasibility of Establishing Color Imagery Scales for Various Constructional Landscapes
Wen-Guey Kuo,Yu-Pin Li,Yuh-Chang Wei,Chih-Wen Cheng,Wei-Min Fu 한국색채학회 2017 AIC 2017 Jeju Vol.2017 No.10
A methodology of quantifying the environmental color imagery of color images of constructional landscapes individually was created in this study based on the new color imagery scales designed with combining a modified psychophysical method, Magnitude Estimation Method celebrated in the field of color science and the semantic differential method proposed by Osgood. The color imageries of the cumulated constructional landscape-image samples respectively were further estimated under a conditioned room using the creative experimental methodology. Meanwhile, a set of new environmental color imagery scales LEB were derived from the experimental results, and would be expected to raise the feasibility of computerized prediction in color imagery for the practical environment at speed during the field trial in the near future.
Error Forecasting Using Linear Regression Model
Ler, Lian Guey,Kim, Byung-Sik,Choi, Gye-Woon,Kang, Byung-Hwa,Kwang, Jung-Jae Korean Wetlands Society 2011 한국습지학회지 Vol.13 No.1
In this study, Mike11 will be used as the numerical model where a data assimilation method will be applied to it. This paper aims to gain an insight and understanding of data assimilation in flood forecasting models. It will start with a general discussion of data assimilation, followed by a description of the methodology and discussion of the statistical error forecast model used, which in this case is the linear regression. This error forecast model is applied to the water level forecast simulated by MIKE11 to produced improved forecast and validated against real measurements. It is found that there exists a phase error in the improved forecasts. Hence, 2 general formula are used to account for this phase error and they have shown improvement to the accuracy of the forecasts, where one improved the immediate forecast of up to 5 hours while the other improved the estimation of the peak discharge.
Akyuz Mert,Gueye Ghislain Nono,Karul Cagin 한국국제경제학회 2023 International Economic Journal Vol.37 No.2
The relatively small panel cointegration literature on the dynam- ics between FDI and income inequality predominantly finds that FDI will reduce income inequality in the long-run in developed countries. However, we point out an important technical oversight in the literature. Not accounting for cross-section dependence in panel data methodologies may yield unreliable results. Expanding on the work of Herzer and Nunnenkamp [(2013). Inward and out- ward FDI and income inequality: Evidence from Europe. Review of World Economics, 149(2), 395–422. https://doi.org/10.1007/s10290- 013-0148-3], who pioneered the use of panel cointegration in the European context, we obtain different results when we account for cross-section dependence and employ economic procedures robust to it. Using a panel containing 16 OECD countries (1979–2017), 2 income inequality measures, and 4 FDI measures, we begin by show- ing strong evidence for the existence of cross-section dependence. Then, using second-generation econometric procedures, we do not find any evidence for a cointegrating relationship between inward FDI and income inequality. We do find evidence that outward FDI is cointegrated with income inequality; however, contrary to the main results of the literature, we find that it widens the income gap in the long-run. Additionally, our results support the view that fiscal policy is an important tool to reduce income inequality.