• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.304-306
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• 1999

사이버 강의 스크립트를 정의하고, 이 스크립트의 문법을 etf(Ewha Tag Format)라 명칭하였다. 그리고 사이버 강의 스크립트를 자바 웹 서버 상에서 효과적으로 처리할 수 있도록 자바 웹 서버를 설계 구현하였다. 사이버 강의 스크립트란 강의록, 문제출제, 문제 평가, 숙제 제출, 자료실, 토론방 등의 가상대학 환경을 편리하게 구축하기 위해서 데이터베이스 및 파일의 접근을 웹 환경의 스크립트만을 사용하여 구현할 수 있도록 정의한 것이다. 강의 시스템은 사용자에게 정형화된 포맷이 많이 쓰이기 때문에 스크립트로 정형화된 형태의 인터페이스가 적합하며, 실제적인 구현이 자바로 이루어지기 때문에 확장의 범위가 크다. 웹 서버는 이러한 etf 스크립트를 사용자에게 제공하기 위한 스크립트 엔진을 포함하고 있어야 하는데, 이러한 스크립트 엔진이 웹 서버와 어떻게 상호작용 하는가에 따라 성능이 좌우된다. 상호 작용하는 방법에는 스크립트 엔진이 웹 서버 자체에 포함된 경우, 스크립트 엔진을 수행하는 독립적인 프로세스를 띄워서 스크립트를 처리하는 방법, 스크립트 엔진만을 포함하여 처리하는 별도의 서버를 두어 처리를 전환하는 방법이 있다. 따라서 본 논문에서는 자바 웹 서버 상에서 엔진을 여러방법으로 연동하고 성능을 비교하여 보다 효과적인 처리 방안을 제안하고자 한다.

• Korean Management Science Review
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• v.30 no.3
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• pp.1-16
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• 2013

In this paper, we deal with an enhanced index fund strategy by implementing the exchange trade funds (ETFs) within the context of the Black-Litterman approach. The KOSPI200 index ETF is used to build risk-controlled portfolio that tracks the benchmark index, while the proposed Black-Litterman model mitigates estimation errors in incorporating both active investment views and equilibrium views. First, we construct a Black-Litterman model portfolio with the active market perspective based on the momentum strategy. Then, we update the portfolio with the KOSPI200 index ETF by using the equilibrium return ratio and weighted averages, while devising optimization modeling for improving the information ratio (IR) of the portfolio. Finally, we demonstrate the empirical viability of the proposed enhanced index strategies with KOSPI 200 data.

• Journal of Korean Critical Care Nursing
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• v.6 no.2
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• pp.12-23
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• 2013

Purpose: This study was conducted to develop a Korean version of evidence-based enteral tube feeding (ETF) guidelines through adaptation of existing ETF guidelines. Methods: The guideline adaptation process was conducted into 24 steps according to a manual for guideline adaptation version 2.0 developed by NECA. Results: The adapted ETF nursing practice guideline was consisted of 9 domains and 20 recommendations, including confirmation of tube placement, risk of aspiration, assessment gastric residual volume, body positioning, treating feeding tube occlusion, administration rate, medication, tube flushes, and interruption of feeding. The results of the grading of recommendations assessment by expert penal showed that 8 recommendations in Grade A, 4 in grade B, and 8 in Grade C were emerged from the process. The range of content validity index scores by expert penal was 0.8-1.0. Conclusion: It is expected that the adapted ETF nursing practice guideline could be helpful for nurses to practice evidence-based ETF for their patients.

• Management & Information Systems Review
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• v.32 no.3
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• pp.285-297
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• 2013

In this study, price discovery among the KOSPI200 markets(KOSPI200 spot, KOSPI200 Futures and The ETFs) is investigated using the vector error correction model(VECM). The main findings are as follows. KODEX200(KOSEF200), KOSPI200 spot and Futures are cointegrated in most cases. Daily data from KODEX200(KOSEF200), KOSPI200 spot and KOSPI200 futures show that the movements of the three markets are interrelated. Specially, KODEX200 contains the most information, followed by the KOSPI200 spot and futures markets. KODEX200 contribute to the price discovery process. Namely KODEX200 plays a more dominant role in price discovery than the KOSPI200 spot and futures.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.127-137
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• 2021

Mainland China area has been a long-term, major trade rival and partner of Taiwan, accounting for more than 40% of Taiwan's total annual trade exports, and so Sino-US trade friction is expected to have a significant impact on Taiwan's economy in the future. This study focuses on major bad news of Sino-US trade frictions and how it generates short-term shocks for Taiwan's equity market and fear sentiment. It further explores the mutual interpretation relationship between price changes such as VIX, Taiwan's stock market index, and the VIX ETF to identify which factors have information leadership as leading indicators. The study period covers 750 trading days from 2017/1/3 to 2020/1/31. This study finds that, when a policy news is announced, the stock market index falls significantly, the change in the trading price (net value) of the VIX ETF rises significantly, and the overprice rate significantly drops, but VIX does not, showing that fear sentiment exists in the Taiwan's market. The net value of the VIX ETF shows an information advantage as a leading indicator. This study suggests that, when the world's two largest economies clash over trade, the impact on Taiwan's equity market is inevitable, and that short-term fear effects will arise.

• The Korea Journal of Herbology
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• v.30 no.2
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• pp.1-9
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• 2015

Objectives : The present study was conducted to examine whether Toosendan Fructus has an ameliorative effect on diabetes-induced alterations such as oxidative stress and inflammation in the pancreas of non-obese diabetic (NOD) mice, a model of human type I diabetes. Methods : Extracts of Toosendan Fructus (ETF) were administered to NOD mice at three doses (50 mg/kg, 100 mg/kg and 200 mg/kg). Mice at 18 weeks of age were measured glucose tolerance using intraperitoneal glucose tolerance test. After 28 weeks of ETF treatment, glucose, total cholesterol (TC), triglyceride (TG), and proinflammatory cytokines in serum, western blot analyses and a histopathological examination in pancreas tissue, and on the onset of diabetes were investigated. Results : The results showed that levels of glucose, glucose tolerance, TC, TG, interferon-${\gamma}$, interleukin (IL)-1 ${\beta}$, IL-6, and IL-12 in serum were down-regulated, while IL-4, IL-10, SOD, and catalase significantly increased. In addition, ETF improved protein expression of proinflammatory mediaters (such as cyclooxygenase-2, and inducible nitric oxide synthase) and a proapoptotic protein (caspase-3) in the pancreatic tissue. Also, in the groups treated with ETF (100 mg/kg or 200 mg/kg), insulitis and infiltration of granulocytes were alleviated. Conclusions : Based on these results, the anti-diabetic effect of ETF may be due to its anti-inflammatory and antioxidant effect. Our findings support the therapeutic evidence for Toosendan Fructus ameliorating the development of diabetic pancreatic damage via regulating inflammation and apoptosis. Our future studies will be focused on the search for active compounds in these extracts.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.7-12
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• 2019

The application of neural networks to stock forecasting has received a great deal of attention because no assumption about a suitable mathematical model has to be made prior to forecasting and they are capable of extracting useful information from data, which is required to describe nonlinear input-output relations of stock forecasting. The paper builds neural network models to forecast daily KOrea composite Stock Price Index (KOSPI), and their performance is demonstrated. MAPEs of NN1 model show 0.427 and 0.627 in its learning and test, respectively. Based on the predicted KOSPI price, the paper proposes an alpha trading for trades in Exchange Traded Funds (ETFs) that fluctuate with the KOSPI200. The alpha trading is tested with data from 125 trade days, and its trade return of 7.16 ~ 15.29 % suggests that the proposed alpha trading is effective.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.1
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• pp.23-30
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• 2019

As deep learning with the network-based algorithms evolve, artificial intelligence is rapidly growing around the world. Among them, finance is expected to be the field where artificial intelligence is most used, and many studies have been done recently. The existing financial strategy using deep-run is vulnerable to volatility because it focuses on stock price forecasts for a single stock. Therefore, this study proposes to construct ETF products constructed through portfolio methods by calculating the stocks constituting funds by using deep learning. We analyze the performance of the proposed model in the KOSPI 100 index. Experimental results showed that the proposed model showed improved results in terms of returns or volatility.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.35 no.8
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• pp.309-315
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• 1986

We proposed a preliminary Data Flow Machine Model(DNL1) operating on the basis of Node Label. In this model, all the PMs(Processing Modules) were synchronized with the content of LC(Level Counter) and were not implemented dy the processing cability on conditional nodes. This paper presents an architecture of a concurrent multiprocessor system which was developed from DNL1 with two additional types of memories, CF(Control Flag) and ETF (Enabled Token Flag). The CF memory holds the control condition flag ('1' or '0') to be referenced to when a node is fired and the ETF represents the firability of a certain node. Firable nodes are fetched to the PU(Processing Unit) and processed. This Data Flow system can be extended hierarchically by a network of simple modules. The principle working elements of the machine are a set of PMs, each of which performs the execution of the data flow procedures held in a local memory, NTM(Node Token Memory) within the PM.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.212-218
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• 2021

The Proportional Integral Derivative (PID) controller is the most popular industrial controller and more than 90% process industries use this controller. During the past 50 years, numerous good tuning methods have been proposed for Single Input Single Output Systems. However, design of PI/PID controllers for multivariable processes is a challenge for the researchers. A comparative study of three PID controllers design methods has been carried-out. These methods include the DS (Direct Synthesis) method, IMC (Internal model Control) method and ETF (Effective Transfer Function) method. MIMO PID controllers are designed for a number of 2×2, 3×3 and 4×4 process models with multiple delays. The performance of the three methods has been evaluated through simulation studies in Matlab/Simulink environment. After extensive simulation studies, it is found that the Effective Transfer Function (ETF) Method produces better output responses among two methods. In this work, only decentralized methods of PID controllers have been studied and investigated.