• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.831-833
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• 2005

과거 전력산업의 독점체제에서 발전기 기동 정지계획은 1-7일 정도의 예측된 부하를 최소비용으로 공급하기 위해서 발전기의 정보만을 고려하여 수요에 부합되도록 결정되었다. 향후 전개될 전력시장의 형태인 완전경쟁시장에서는 각 발전사업자가 자신의 발전기들을 대상으로 이익을 최대화하기 위한 입찰전략으로서의 기동정지계획을 수립하게 된다. 본 논문에서는 이익극대화로서의 발전사업자 기동정지계획을 수립함에 있어 유전알고리즘을 적용하였다. 또한 발전사업자의 입찰전략에 주요한 요소로 작용하는 입찰량 결정에 있어서 발전기 증감발율을 고려하여 최적의 발전량을 결정하도록 하였다.

• Proceedings of the KIEE Conference
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• 2003.11a
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• pp.475-478
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• 2003

본 논문에서는 쿠르노 모형을 적용한 양방향입찰 전력 풀시장에서 입찰에 참여하는 발전기가 최대 이익을 얻기 위한 입찰전략으로서 신경회로망의 오차 역전파 알고리즘을 이용하여 최적 입찰발전량과 입찰가격을 수립하는 기법에 관하여 연구한다. 전력시장 환경은 n 개의 발전기들이 참여하는 비협조적 불완전정보 시장으로 설정하고 Bayesian의 조건부 확률이론을 적용하여 상대 발전기들의 발전비용함수와 시장의 수요함수를 추정하여 발전기 상호간 쿠르노-내쉬균형점을 이루는 최적 입찰발전량을 예측한다. 그리고 이익을 극대화시키기 위해 오차 역전파 알고리즘을 이용하여 시장의 가격 탄력성과 쿠르노 시장균형가격에 연결가중치를 조절함으로써 입찰가격이 계통한계가격에 근접하도록 최적 입찰전략을 수립한다.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.125-139
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• 2021

This study identifies the trend of Korean accounting researches on profit adjustment. We analyzed the abstract of accounting research articles published in Korean Citation Index (KCI) by using text mining technique. Among papers whose themes were profit adjustment, topics were divided into 4 parts: (i) Auditing and audit reports, (ii) corporate taxes and debt ratios, (iii) general management strategy of companies, and (iv) financial statements and accounting principles. Unlike the prediction that financial statements and accounting principles would be the main topic, auditing was analyzed as the most studied area. We analyzed topic trends based on the number of papers by topic, and could figure out the impact of K-IFRS introduction on profit adjustment research. By using Big Data method, this study enabled the division of research themes that have not been available in the past studies. This study enables the policy makers and business managers to learn about additional considerations in addition to accounting principles related to profit adjustment.

• Journal of the Korean Society of Hazard Mitigation
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• v.8 no.4
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• pp.61-66
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• 2008

As the water distribution system which is one of the critical lifeline system is deteriorated and pipe failures occur frequently, the more efficient pipe monitoring system becomes a critical issue in the water industry. One of the pipe monitoring systems is called "Smart-pipe System" which is permanent, comprehensive and an automated SIM (Structural Integrity Monitoring) system and has superiorities to existing monitoring system. To implement a smart-pipe system on a water distribution system, assessment of its indirect benefit obtaining from smartpipe such as the ratio of preventing water main failures must be preceded. However, only some researches on this field have been performed. In this paper, the concept of smart-pipe system is compared with the current monitoring systems for a water distribution system, and a method to quantify its benefit using the inconvenient time for customers is suggested. The suggested method was applied to a real water distribution system to estimate its applicability and benefit.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.28-33
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• 2021

Since the stock price is a measure of the future value of the company, when analyzing the stock price, the company's growth potential, such as sales and profits, is considered and invested in stocks. In order to set the criteria for selecting stocks, institutional investors look at current industry trends and macroeconomic indicators, first select relevant fields that can grow, then select related companies, analyze them, set a target price, then buy, and sell when the target price is reached. Stock trading is carried out in the same way. However, general individual investors do not have any knowledge of investment, and invest in items recommended by experts or acquaintances without analysis of financial statements or growth potential of the company, which is lower in terms of return than institutional investors and foreign investors. Therefore, in this study, we propose a research method to select undervalued stocks by analyzing ROE, an indicator that considers the growth potential of a company, such as sales and profits, and predict the stock price flow of the selected stock through deep learning algorithms. This study is conducted to help with investment.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.773-794
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• 2021

Prediction of vehicle traffic volume is very important in planning municipal administration. It may help promote social and economic interests and also prevent traffic congestion costs. Traffic volume as a time-varying trajectory is considered as functional data. In this paper we study three functional regression models that can be used to predict an unseen trajectory of traffic volume based on already observed trajectories. We apply the methods to highway tollgate traffic volume data collected at some tollgates in Seoul, Chuncheon and Gangneung. We compare the prediction errors of the three models to find the best one for each of the three tollgate traffic volumes.

• Proceedings of the Korea Association of Information Systems Conference
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• 2002.11a
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• pp.348-364
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• 2002

본 연구는 기술개발상의 위험을 진단하면서, 상업화의 위험을 시장분석을 통하여 관찰하고 가격변동으로 인한 민감도를 고려하면서, 신기술 적용상의 장기적인 이익 및 수익의 예측정확도를 극대화하고 시장점유율을 예측할 수 있는 새로운 기법으로서 사례기반추론을 통한 신기술 사업성 평가시스템을 제시하고자 한다. 또한 본 연구가 새롭게 제시하는 기법과 새롭게 재무분석 분야에서 연구되고 있는 성장옵션 모형을 활용한 신기술 가격결정 시스템을 개발하고자 한다. 이 두 가지 시스템을 통하여 신기술의 마케팅적 관점, 재무걱 관점, 시스템적 관점을 모두 파악할 수 있으며 보다 객관적이고 과학적이며 예측 정확도가 높은 신기술의 화폐적 가치를 산출할 수 있게 될 것이다. 신기술의 사업성 평가에 관한 연구는 향후 한국기업의 국가경쟁력을 위해서 꼭 필요한 과업이며 신기술 기반의 중소기업을 효율적으로 지원하기 위해서도 꼭 이루어져야만 하는 중요 과업이 아닐 수 없다. 그러나 이러한 과업의 중요성에 비해서 그 동안 관련 연구는 거의 이루어지지 않았고(황규성, 2001) 다만 은행 등 금융권의 실무자들이 쉽게 적용할 수 있는 단순한 방법들이 제시되는 정도에 불과하였다. 이렇듯 관련 연구가 부족한 이유는 관련 분야가 재무관리, 회계학, 마케팅, 관련 기술분야 등 광범위하게 걸쳐져 있고 실무적인 성격이 강하여 학문적으로 일반화하기가 쉽지 않기 때문이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.830-833
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• 2020

콜센터에서 인력 스케줄링은 매우 중요하다. 모든 콜센터에서 인건비는 고정비 성격이 강하여 차지하는 비중이 매우 높아 콜센터의 이익을 좌지우지한다. 그렇기 때문에 콜센터의 적정 인력의 고용과 배치는 인건비 뿐만 아니라 콜 성공률 또한 직결되어 있어 콜센터 운영에서 중요한 사안이라고 할 수 있다. 대부분의 콜센터가 현재까지도 관리자의 경험에 의해 인력배치를 수립하는데, 이러한 방법은 과학적이지 않으며 인원수에 영향을 미치는 모든 변수들을 고려할 수 없다. 과거 수학적 모델을 수립하는 것이었다면, 지금은 모델을 학습시키고, 학습된 모델을 기반으로 미래의 고객과 인원수를 예측해야 한다. 본 논문에서는 수리제약식을 통해 다양한 변수들을 고려하고 비선형 정수 계획법과 딥러닝 기반의 예측 값을 이용하여 비선형 정수계획법을 통해 최적의 인력배치 스케줄링을 수립하였다.

• Journal of Preventive Medicine and Public Health
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• v.31 no.3 s.62
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• pp.490-502
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• 1998

This study purports to find the predictor of hospital bankruptcy in Korea and to examine the predictive power of the discriminant function model of hospital bankruptcy. Data on 17 financial and 4 non-financial indicators of 31 bankrupt and 31 profitable hospitals of 1, 2, and 3 years before bankruptcy were obtained from the hospital performance databank of Korea Institute of Health Services Management. Significant variables were identified through mean comparison of each indicator between bankrupt and profitable hospitals, and the discriminant function model of hospital bankruptcy was developed. The major findings are as follows 1. As for profitability indicators, net worth to total assets, operating profit to total capital, operating profit ratio to gross revenues, normal profit to total assets, normal profit to gross revenues, net profit to total assets were significantly different in mean comparison test in 1, 2, and 3 years before hospital bankruptcy. With regard to liquidity indicators, current ratio and quick ratio were significant in 1 year before bankruptcy. For activity indicators, patients receivable turnover was significant in 2 and 3 years before bankruptcy and added value per adjusted inpatient days was significant in 3 years before bankruptcy. 2. The discriminant function in 1, 2, and 3 years before bankruptcy were; $Z=-0.0166{\times}quick$ ratio-$0.1356{\times}normal$ profit to total assets-$1.545{\times}total$ assets turnrounds in 1 year before bankruptcy, $Z=-0.0119{\times}quick$ ratio-$0.1433{\times}operating$ profit to total assets-$0.0227{\times}value$ added to total assets in 2 years before bankruptcy, and $Z=-0.3533{\times}net$ profit to total assets-$0.1336{\times}patients$ receivables turn-rounds-$0.04301{\times}added$ value per adjusted $patient+0.00119{\times}average$ daily inpatient census in 3 years before bankruptcy. 3. The discriminant function's discriminant power in 1, 2, and 3 years before bankruptcy was 77.42, 79.03, 82.25% respectively.

• Information Systems Review
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• v.19 no.3
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• pp.201-228
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• 2017

Vulnerability information, which can cause serious damage to information assets, has become a valuable commodity, thereby leading to the creation of a vulnerability market. Vulnerability information is traded on the vulnerability market from several hundred dollars to hundreds of thousands of dollars depending on its severity and importance, and the types and scope of the vulnerability markets are varying. Based on previous studies on vulnerability markets and hackers, this study empirically analyzed the effects of the security researcher's vulnerability research motivation on his/her vulnerability market use intention. The results are discussed as follows. First, vulnerability research self-efficacy had a significant effect on flow and on white and black market use intention but not on perceived benefit. Second, flow had a significant effect on perceived benefit and on black market use intention but had no effect on white market use intention. Third, perceived profit had a significant effect on white and black market use intention. Fourth, vulnerability research self-efficacy had a significant effect on perceived benefit through flow. Fifth, flow had a significant effect on white and black market use intention through perceived profit. These findings can be used to predict the behavior of security researchers who have experience in exploiting vulnerabilities.