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The effects of the RMB"s appreciation on trade balance in US
Chi Gong,Zi-Yang Liu 한국컴퓨터정보학회 2015 韓國컴퓨터情報學會論文誌 Vol.20 No.11
This paper applied a VAR model to analyze the effects of RMB exchange rate brought to processing trade, non-processing trade and FDI. Then we can get the results that the appreciation of RMB could not solve the problem of US trade deficit. It is more likely that the appreciation just can transfer the trade imbalance to other country with US, which could not radically solve the economic problems of US. Also this paper find that the data of service trade is surplus while the main goods deficit was occur in advanced technology product, especially in the information & communications trade And US has real advantage in these industries, so the situation will be changed if US decreased the barrier in these industries. In that way, the imbalance situation should be greatly reduced.
Fang Gong,Tong Zhang,Jun Sheng,Jing Li,Xianghong Wang,Zhenming Chi 한국생물공학회 2008 Biotechnology and Bioprocess Engineering Vol.13 No.5
The extracellular inulinase of the marine yeast Pichia guilliermondii strain 1 was purified to homogeneity resulting in a 7.2-fold increase in specific inulinase activity. The molecular mass of the purified enzyme was estimated to be 50.0 kDa. The op-timal pH and temperature for the purified enzyme were 6.0 and 60C, respectively. The enzyme was activated by Mn²+, Ca²+, K+, Li+, Na+, Fe³+, Fe²+, Cu²+, and Co²+, but Mg²+, Hg²+, and Ag+ inhibited activity. The enzyme was strongly inhibited by phenylmethanesulphonyl fluoride (PMSF), iodoacetic acid, EDTA, and 1, 10-phenanthroline. The Km and Vmax values of the purified inulinase for inulin were 21.1 mg/mL and 0.08 mg/min, respectively. A large number of monosaccharides were de-tected after the hydrolysis of inulin. The deduced protein sequence from the cloned P. guilliermondii strain 1 inulinase gene contained the consensus motifs R-D-P-K-V-F-W-H and W-M-N-D-P-N-G, which are conserved among the inulinases from other microorganisms.
A CGE Analysis of Free Trade Agreements among China, Japan, and Korea
윤용만,Chi Gong,여택동 한국무역학회 2009 Journal of Korea trade Vol.13 No.1
In this paper, we investigate the economic impacts of possible free trade agreements (FTAs) among China, Japan, and Korea, and then compare the GDP and welfare effects of those FTAs. To conduct the investigation, we employ a multi-region, multi-sector static computable general equilibrium (CGE) model with 6 regions, 12 sectors and 5 endowments, assuming that land, unskilled labor and natural resource are not mobile among the regions and that skilled labor and capital are mobile among them. Considering four possible FTA scenarios, we examine the economic effects of the FTAs and then rank them to show which form of FTA is most beneficial for each country. For the best FTA outcome, Korea would establish an FTA with China; China would form a trilateral FTA with Korea and Japan; and Japan would choose to form a trilateral FTA with China and Korea. In addition, we provide the output and trade effects of two different FTA scenarios for Korea.
A CGE Analysis of Free Trade Agreements among China, Japan, and Korea
Youngman Yoon,Chi Gong,Taek Dong Yeo 韓國貿易學會 2008 國際學術大會 論文集 Vol.2008 No.12
In this paper, we investigate the economic impacts of possible FTAs among China, Japan, and Korea and then compare the GDP and welfare effects of FTAs. In order to make a CGE analysis, we employ a multi region, multi sector static CGE model with 5 regions, 12 sectors and 5 endowments, assuming that land, unskilled labor and natural resource cannot mobile among the regions and that skilled labor and capital can mobile among them. Considering four possible FTA scenarios (FTA CJK, FTA KC, FTA KJ, and FTA CJ), we examine the economic effects of FTAs and then show which form of FTAs is most beneficial for each country. For the best scenario of FTA policy, Korea would establish an FTA with China; China would like to form a trilateral FTA with Korea and Japan; Japan would not care much about an FTA with Korea, but for the optimal results Japan, like China, would choose to form a trilateral FTA with China and Korea. In addition, we provide the output and trade effects of FTA KC and FTA CJK.
김태공(Tae Gong Kim),우치수(Chi Su Wu) 한국정보과학회 1993 정보과학회논문지 Vol.20 No.1
소프트웨어 특성들을 객관적이고 정량적으로 측정하기 위한 노력들이 지난 70년대 이후로 지속적으로 연구되어 오고 있다. 그 중의 하나가 소프트웨어 복잡도를 측정하는 방법에 관한 것이다. 소프트웨어 복잡도에 영향을 미치는 요인으로는 크게 나누어 프로그램의 규모, 프로그램의 제어 흐름, 그리고 데이타 구조 등이다. 이 중에서 특정한 요인 하나만을 고려한 프로그램의 복잡도가 프로그램의 규모뿐만 아니라 제어 흐름에도 민감하게 반응할 수 있도록 하기 위해서, 프로그램의 선형 독립인 경로와 리뷰 상수를 고려한 새로운 복잡도 척도를 제안한다. 본 논문에서 수집한 데이타에서 제시한 복잡도는 프로그램 규모를 나타내는 Halstead 척도 N과 93% 상관 관계를 보였고, 제어 흐름의 복잡도 척도 V(g)와는 84% 상관 관계를 보였다. In the last two decades, there have been researches on measuring software characteristics quantitatively and objectively. One of them is the method measuring a program complexity. The representative factors of software complexity are the volume of a program, the control flow of a program and the data structure. The software complexity measure which considers only one of those factors cannot detect and measure the complexity of a program. Thus we would like to define a measure which is sensitive to the volume and the control flow of a program. In this paper, we present new measure which considers linealy independent paths of a program and the review constant R. In our selected sample data, a correlation coefficient between the presented measure and Halstead measure N in 0.93 and the coefficient between this measure and cyclomatic measure V(g) is 0.84.
소프트웨어 복잡도를 이용한 품질 특성 예측에 대한 방안
김태공(Tae Gong Kim),우치수(Chi Su Wu) 한국정보과학회 1994 정보과학회논문지 Vol.21 No.6
소프트웨어 품질 특성을 측정하는 척도에는 보는 관점에 따라서 개발자 중심과 사용자 중심의 척도로 구별할 수 있다. 대표적인 사용자 중심의 소프트웨어 신뢰도 척도로 고장수를, 개발자 중심의 신뢰도 척도로 결함수를 예로 들 수 있다. 사용자 중심의 척도는 사용자에게 인지되는 품질의 수준을 나타내는 것이므로, 소프트웨어 개발 과정에서 이 척도를 사용하면 사용자가 원하는 품질 수준을 효율적으로 제어할 수 있는 장점이 있다. 그러나 사용자 중심 척도에 대한 데이터를 얻어내는 데는 대체로 일정한 기간과 노력이 소요되는 문제점이 있다. 본 논문에서는 사용자 중심의 품질 척도와 밀접한 관계가 있는 소프트웨어 척도들로 품질 수준을 예측함으로써 위의 문제점을 해결한다. 예측 기법으로 회귀 분석과 분류 트리 그리고 인공 신경망을 이용하고, 소프트웨어 품질 특성 예측의 예로 이해도 예측과 신뢰도 예측을 분석하였다. 이해도 예측에서 인공 신경망에 의한 방법이 회귀 분석에 의한 방법보다 효율적이고, 신뢰도 예측에서는 확장된 분석과 분류 트리 그리고 인공 신경망에 의한 방법들이 서로 비슷한 성능을 보였다. Software metrics measuring quality characteristics are classified into customer-oriented metrics and developer-oriented metrics according to the viewpoint. A representative customer-oriented metric of reliability is the number of failures and developer-oriented metric is the number of faults. As customers can recognize the level of quality using customer-oriented metrics, the level of quality can be efficiently controlled by using these metrics during software development. However a problem is that time and efforts are consumed in collecting data for the customer-oriented metrics. In this paper we solve this problem by predicting software quality using software metrics on quality characteristic. As methods of prediction we use regression analysis, classification trees and artificial neural networks, and analyze the prediction results of understandabilty and reliability to compare the prediction capability of these methods. In the prediction of understandability artificial neural networks are shown to be a more effective method than regression analysis, and in the prediction of reliability artificial neural networks show the same performance as extended regression analysis and classification trees. Index terms : quality characteristics, customer-oriented metrics, developer-oriented metrics, fault, failure, regression analysis, classification tree, artificial neural network, understandability, reliability.