• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.435-438
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• 2020

시장예측 문제를 해결하기 위하여 과거부터 꾸준한 연구가 진행되어왔다. 하지만 금융 시계열 데이터에는 분산이 일정하지 않으며 Non-stationarity 등 예측을 하는 것에 있어서 여러 가지 방해 요인이 존재한다. 또한 광범위한 데이터 변수는 기존에 사람이 직접 경험적으로 선택하는 것에 한계가 있기 때문에, 모델이 변수를 자동으로 추출할 수 있어야 한다. 본 논문에서는 여러 가지 금융 시계열 데이터의 문제를 고려하여 타임 스텝 정규화를 제안하며 자동 변수 추출을 위해 LSTM 형태의 오토 인코더 모델을 학습하였으며 LSTM 네트워크를 이용하여 시장 예측하는 모델을 제안한다. 해당 시스템은 실제 주식 거래나 시장 거래를 위하여 온라인 학습이 가능하며 긴 기간을 테스트 구간으로 실험한 결과 미래의 수익률을 예측하는 것에 있어서 우수한 성능을 보였다.

• Management & Information Systems Review
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• v.32 no.2
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• pp.213-235
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• 2013

This study investigates proper solution available for flexibly management pointing out reality a lack of understanding and interest for executing security management while importance of firm security management gets bigger. Accordingly, this study suggests 4 exogenous variables such as organizational commitment, experience of security risks, perceived benefits, partner interdependence as factors of having influence upon development and implementation in security management. It suggests IT volatility as moderating variable, which will intensify between development and implementation. The research model was tested by using Structural Equation Modeling, via Amos 19.0 analysis on a sample collected from 209 firms. As a result, the remaining variables except partner interdependence showed statistically positive influence. The implications of the findings suggest a new theoretical framework of the security management and offers important solutions for the practical application guidelines.

• Journal of the Korea Convergence Society
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• v.11 no.3
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• pp.341-349
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• 2020

The purpose of this study was conducted to explain the intention of use of IoT (internet of things) healthcare service for elderly using TAM (Technology Acceptance Model). The exogenous variables were professional support, personalization, interaction, and convenience, The endogenous variables were usefulness and intention. Data were collected from 220 elderly residents aged 65 over in welfare center and were analyzed using structural equation modeling using AMOS 25.0. The result of this study showed that professional support and personalization did not significantly difference perceived usefulness, and there were significant differences interaction, and convenience. Futhermore, perceived usefulness influence intention of use of IoT healthcare service for elderly. IoT health care service for elderly is affected by perceived usefulness. This study systematically verified the elderly's intention of using IoT-based smart healthcare services. The result of this study would be able to be used as basic data for preparing strategies to enhance their intention to use the services.

• The Korean Journal of Applied Statistics
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• v.24 no.5
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• pp.799-807
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• 2011

This study investigates long and short run responses of variables to exogenous shocks by imposing prior restrictions on a contemporaneous structural shock coefficient matrix of the model to identify shocks by endogenous variables in the vector autoregression. The relative importance of each structural shock in variation of each variable is calculated through the identification of proper restrictions (not based on any specific theory but on researcher judgment corresponding to actual situations) and an estimation of the structural vector autoregression. The results of the analyses are found to maintain consistency.

• Proceedings of the KAIS Fall Conference
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• 2011.12a
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• pp.152-155
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• 2011

본 연구는 조직시민행동의 선행요인으로 조직관리 차원에서 주요하게 고려되고 있는 윤리경영 이라는 원인(외생, 독립)변수가 매개변수인 경영자 신뢰 및 조직냉소주의를 매개하여, 이들이 결과(내생, 종속)변수인 직무태도 및 행동(조직시민행동, 직무만족, 직무성과, 이직의도)과 어떠한 인과관계를 갖고 있는지 이들의 관계를 규명하는데 주력하였다. 이는 추 후 사회복지시설에서 사회복지조직 혹은 사회복지사를 대상으로 진행되는 연구의 이론적인 기반을 구축하는데 기여한 논문이라는 점에서 연구의 의의가 있다.

• Journal of Korea Port Economic Association
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• v.36 no.3
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• pp.115-136
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• 2020

This study aims to analyze the impact of China's iron ore imports and exports on the tramper freight rate of China. The import volume of iron ore in China, the export volume of steel products in China, and exogenous variables were used as independent variables. The dependent variables were BDI, BCI, C5, C10, C14, BSI, S2, and S3. Correlation analysis and regression analysis were conducted. The correlation analysis showed that China's iron ore imports were not related to the remaining BDI, BCI, BSI, C5, C10, S2, and S3, except for the C14 index. However, there was a positive correlation between the ship's space and international oil prices, and it was not related to China's Purchasing Managers Index (PMI). The export volume of steel products was negatively correlated with BDI, BCI, BSI, C5, C10, C14, S2, S3, and international oil prices, and was not related to iron ore imports, ship space, and China's PMI. In the verification of the hypothesis between China's iron ore imports and exogenous variables, China's PMI was rejected within the hypothesis. However, the hypothesis on international oil prices and ship space was adopted. In the verification of the hypothesis between China's steel export volume and exogenous variables, the hypothesis on BDI and the S3 index was adopted, and the hypothesis on BSI and S2 was rejected. In the analysis results of this study, the ship space and oil prices were adopted in all the hypothesis results. Domestic companies participating in the tramper shipping market will need to be prepared through continuous monitoring of related indicators.

• The Korean Journal of Financial Management
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• v.23 no.2
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• pp.171-187
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• 2006

This paper investigates the pricing information transmission between NYSE listed Chinese ADRs and their underlying shares by using GJR. The data in this study consist of daytime and overnight returns on 7 chinese stocks End their ADRs on the NYSE for the period from December 2002 to december 2005. We have round that the home market leadership hypothesis can be applied to the Chinese stocks. We have also found that return spillover effect is stronger than volatility spillover effect.

• Environmental and Resource Economics Review
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• v.7 no.1
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• pp.165-183
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• 1997

생명공학은 기술의 특성상 보건 의료, 농업, 자원 환경, 에너지 등 광범위한 산업에 응용될 수 있는 고부가가치형, 두뇌기술집약형, 탈공해형, 자원 및 에너지절약형 기술이라는 특징을 지니고 있어 21세기 미래산업을 선도할 것으로 기대되고 있다. 본 연구의 목적은 생명공학기술이 1980년과 1990년 사이의 산업구조에 어떠한 변화를 초래하였는지를 알아보는 것이다. 생명공학의 산업경제적 파급효과를 분석해 보기 위해 한국은행에서 발행한 산업연관표를 이용하여 생명공학 관련산업의 지원에 따른 국내 제반산업의 생산변화율을 측정하였다. 정부의 지원이나 금리 및 세제의 혜택을 통해 생명공학 산업 관련 비용이 감소하게 되면 이에 따른 가격변화가 국내 산업발전과 고용의 증가를 갖는 것으로 믿어진다. 고정계수 아닌 변화계수를 특징으로 하는 본 모형의 접근방법은 생명공학에 대한 재정지원 및 세제 인센티브 등을 외생변수로 처리하여 산업구조 변화의 추이와 고용유발 등을 예측하였다. 본 논문의 가설은 생명공학의 영역이 점차 증대되어 나아가기 때문에 1980년의 제반산업의 영향은 1990년의 영향보다는 적어야 한다. 즉 생명공학 관련비용 하락이 전체산업에 미치는 1980년의 생산율 증가보다 1990년의 생산율 증가가 커야 할 것이다. 본 가설에 대한 검증의 과정에서 얻은 통계치를 통해 생명공학산업이 한국 산업 전체에 미치는 영향이 10년 동안에 그 차이가 거의 없어 미성숙 단계에 있다는 결론을 짓게 되었다. 따라서 생명공학 분야의 계속적인 발전을 위해서는 선진국 수준의 독자적 기술개발을 통한 국제 경쟁력을 강화해야 하는데 이를 위한 정부 및 민간기업 투자확대와 연구개발 지원체제의 확대가 요망되고 있다.

• Journal of the Korean Society for Library and Information Science
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• v.38 no.2
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• pp.137-160
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• 2004

In order to appreciate the varied activities of university libraries, this study assesses their efficiencies in the process of production and utilization of their services for two consecutive years, 1999 and 2000. Using a Data Envelopment Analysis with exogenously fixed factors, this study analyses separately efficiencies identified. The results show that efficiencies of libraries appear differently according to the year of evaluation, the dimension of evaluation as well as the difference of statute. The specialized libraries as CADIST are definitely higher in terms of use of services. In addition, inefficiency is mainly due to deficits of production of outputs rather than excesses of utilisation of inputs. For example, time devoted to user's training constitutes the most significant potentiality of increase in the production of services.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.59-66
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• 2020

In this study, we consider the problem of forecasting the number of inbound foreigners visiting Korea. Forecasting tourism demand is an essential decision to plan related facilities and staffs, thus many studies have been carried out, mainly focusing on the number of inbound or outbound tourists. In order to forecast tourism demand, we use a seasonal ARIMA (SARIMA) model, as well as a SARIMAX model which additionally comprises an exogenous variable affecting the dependent variable, i.e., tourism demand. For constructing the forecasting model, we use a search procedure that can be used to determine the values of the orders of the SARIMA and SARIMAX. For the exogenous variable, we introduce factors that could cause the tourism demand reduction, such as the 9/11 attack, the SARS and MERS epidemic, and the deployment of THAAD. In this study, we propose a procedure, called Measuring Impact on Demand (MID), where the impact of each factor on tourism demand is measured and the value of the exogenous variable corresponding to the factor is determined based on the measurement. To show the performance of the proposed forecasting method, an empirical analysis was conducted where the monthly number of foreign visitors in 2019 were forecasted. It was shown that the proposed method can find more accurate forecasts than other benchmarks in terms of the mean absolute percentage error (MAPE).