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Utilizing Spatial and Temporal Information in KAHIS for Aiding Animal Disease Control Activities (가축질병 방역활동 지원을 위한 국가동물방역통합시스템 시공간 정보 활용)

  • PARK, Son-Il;PARK, Hong-Sik;JEONG, Woo-Seog;LEE, Gyoung-Ju
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.4
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    • pp.186-198
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    • 2016
  • HPAI(Highly Pathogenic Avian Influenza) is a contagious animal disease that spreads rapidly by diffusion after the first occurrence. The disease has brought tremendous social costs and economic losses. KAHIS (Korea Animal Health Information System) is the integrated system for supporting the task of preventing epidemics. They provide decision-support information, recording vehicle visiting times and facility location, etc., which is possible by enforcing registration of all livestock related facilities and vehicles. KAHIS has accumulated spatial and temporal information that enables effective tracing of potential disease trajectories and diffusion through vehicle movements. The contact network is created utilizing spatial and temporal information in KAHIS to inform facility connection via vehicle visitation. Based on the contact network, it is possible to infer spatial and temporal mechanism of disease spread and diffusion. The study objective is to empirically demonstrate how to utilize primary spatial and temporal information in KAHIS in the form of the contact network. Based on the contact network, facilities with the possibility of infection can be pinpointed within the potential spatial and temporal extent where the disease has spread and diffused. This aids the decision-making process in the task of preventing epidemics. By interpreting our demonstration results, policy implications were presented. Finally, some suggestions were made to comprehensively utilize the contact network to draw enhanced decision-support information.

The Ownership Choice of Leveraged Buyout Company (차입 인수합병기업의 소유구조 선택)

  • Gong, Jai-Sik;Kim, Choong-Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.3
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    • pp.1151-1156
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    • 2011
  • Leveraged buyouts (LBO) means the acquisition of a company using bonds and loans. There are the prolific volumes of LBO transactions in the international M&A markets, and its influence to the financial market is increasingly huge. However, there are very few LBO transaction in the domestic M&A market and there are also few researches in this field due to the private nature of LBO transactions. Once a company is privatized through a LBO transaction, it is not so long before it is relisted on the stock exchange or it is resold to a third-party investor. In order to repay the borrowed money, an LBO investor may decide to end a company's private status through an exit via an initial public offering (IPO) or a takeover. In this paper, we expand Kaplan's study on the organizational status of post leveraged buyout (LBO) transaction. We find that there is a significant change starting 1986. Most notably, fewer LBOs remain private, the median holding period of the LBO was cut in half to 3.2 years and of those that exit, IPO exits had significantly shorter holding periods. Regression analysis shows that good market conditions lengthen the holding period of a LBO investment whereas the size of the transaction shortens it.

Feasibility study of indirect coal liquefaction process (석탄 간접액화 공정의 경제성 분석)

  • Kim, Hak-Joo;Jung, Heon;Lee, Ho-Tae;Yang, Jung-Il;Chun, Dong-Hyun;Yang, Jung-Hoon;Park, Ji-Chan;Kim, Byung-Kwon
    • 한국신재생에너지학회:학술대회논문집
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    • 2011.05a
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    • pp.76.2-76.2
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    • 2011
  • 석탄으로부터 합성석유를 생산하는 상용기술을 도입하여 건설하고 이와 더불어 원천기술 개발을 위한 국산화 기술 개발을 병행하여 향후 고유가 시대를 대비한 국가 에너지 안보 확립과 국내 기술 개발의 가속화를 추구해야 할 필요성이 대두되고 있다. 본 타당성 조사는 3종류의 석탄(호주 Wyong탄, 인도네시아 NTC탄, 인도네시아 KBB탄)으로부터 가스화에 의하여 합성석유스를 생산하는 공정에 대한 타당성 조사(Feasibility Study, FS)를 Class 5(하한 -50~-20%, 상한 30~100%)의 정확도로 수행하는 것을 내용으로 하고 있다. 플랜트의 규모는 합성석유 기준으로 20,000배럴/일이다. 플랜트의 건설을 위해서 광양제철소 슬래그처리장 내 12만평 부지에 조성 중인 포스코 SNG 생산공장 부지의 일부를 사용하는 것을 기준으로 하였다. 일반적으로 석탄의 종류에 따라서 가스화기의 종류 및 성능이 결정된다. 본 타당성 조사 연구에서 선정된 3종류의 석탄의 조성, 발열량, 회분 함량 등의 특성을 고려하여 각각의 석탄에 적합한 현존하는 상용급 가스화기를 선정하였다. 해당 석탄이 가스화기 종류에 따라 적절한 전처리 과정(건조, 분쇄, 슬러리화)을 거친 후 가스화기에 공급되는 것을 가정하여 석탄의 원소분석 조성, 발열량, 회분함량, 회분조성, 회 용융점 등의 변수에 따라서 각각 해당 가스화기에서 가스화되었을 때의 생성되는 합성가스의 조건을 시뮬레이션을 통하여 얻었다. 가스화기 시뮬레이션 결과를 토대로 합성석유 및 합성천연가스 생산을 위한 공정의 물질수지식 및 에너지수지식이 계산되었으며 이로부터 각 공정에서 발생되는 부생성물과 폐기물에 대한 양이 결정되고 이를 처리하는 방안 등도 제시되었다. 실증시설은 20,000배럴/일 규모의 CTL 및 전기 병산 시설이 적합하다. 더 큰 규모 공장은 투자비가 너무 커서 유가 또는 석탄가 변동에 따라 사업의 수익성이 크게 변하여 위험도가 큰 단점이 있기 때문이다. CTL 공장에 전기 병산이 추천되는 이유는 산소생산공장(APU), 압축 등 석탄전환공장에는 자체적인 전기수요가 막대하여 따로 스팀터빈용 발전소를 운영하므로 이를 효율적으로 대체하고자 하기 때문이다. 즉, 석탄가스화에 의해 기름을 최대한 만들고 미반응가스는 가스터빈 및 스팀터빈의 복합발전에 의해 고효율로 전기를 생산하면 최소의 비용으로 최대한 전기를 생산하여 자체소비 전력을 충당하고 남는 전기는 판매하여 수익률을 높일 수 있다.

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Estimating the Switching Cost in the Korean Residential Electricity Market Using Discrete Choice Model (이산선택모형을 이용한 주거용수용가의 전력서비스 전환비용 추정)

  • Lee, Jongsu;Lee, Dongheon;Lee, Jeong-Dong;Park, Yuri
    • Environmental and Resource Economics Review
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    • v.13 no.2
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    • pp.219-243
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    • 2004
  • Generally, electricity market has monopoly market structure because of need of enormous investment for infrastructure. However, the introduction of competition in network industry as electricity is a tendency of the world with decreasing the effects of economy of scale due to the advancement of technology. Now, electricity industry restructuring is in progress but the competition in electricity retail market is not in force yet in Korea. Whether a effective competition exist or not is very important to policy decision maker who drive restructuring, but there are small numbers of quantitative researches on that. In this study, we estimated the effectiveness of competition in the electricity retail market through switching costs. If switching costs are high, consumers actually can be locked in incumbent firm in spite of introduction of competition. Therefore switching is a critical factor to determine effectiveness of competition and to estimate the size of switching costs quantitatively can proffer the information about whether the competition in the electricity retail market is effective or not in the future. We estimated switching costs using consumer' stated-preference data by conjoint analysis. In according to estimation results, the cost of switching process is not so high, but the relative brand loyalty of an incumbent company is significantly high. And the price is considered as the most important factor choosing an electric service commodity. Based on the empirical results, it is possible to analyze the relationship between suppliers' competitiveness resulted from management efficiency and customers' switching possibilities. The paper therefore provides guidance for suppliers in deciding to enter into retail competition and for policy makers in introducing retail competition. And it has a significance of estimating the switching costs directly.

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A Hybrid Under-sampling Approach for Better Bankruptcy Prediction (부도예측 개선을 위한 하이브리드 언더샘플링 접근법)

  • Kim, Taehoon;Ahn, Hyunchul
    • Journal of Intelligence and Information Systems
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    • v.21 no.2
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    • pp.173-190
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    • 2015
  • The purpose of this study is to improve bankruptcy prediction models by using a novel hybrid under-sampling approach. Most prior studies have tried to enhance the accuracy of bankruptcy prediction models by improving the classification methods involved. In contrast, we focus on appropriate data preprocessing as a means of enhancing accuracy. In particular, we aim to develop an effective sampling approach for bankruptcy prediction, since most prediction models suffer from class imbalance problems. The approach proposed in this study is a hybrid under-sampling method that combines the k-Reverse Nearest Neighbor (k-RNN) and one-class support vector machine (OCSVM) approaches. k-RNN can effectively eliminate outliers, while OCSVM contributes to the selection of informative training samples from majority class data. To validate our proposed approach, we have applied it to data from H Bank's non-external auditing companies in Korea, and compared the performances of the classifiers with the proposed under-sampling and random sampling data. The empirical results show that the proposed under-sampling approach generally improves the accuracy of classifiers, such as logistic regression, discriminant analysis, decision tree, and support vector machines. They also show that the proposed under-sampling approach reduces the risk of false negative errors, which lead to higher misclassification costs.

Mega Flood Simulation Assuming Successive Extreme Rainfall Events (연속적인 극한호우사상의 발생을 가정한 거대홍수모의)

  • Choi, Changhyun;Han, Daegun;Kim, Jungwook;Jung, Jaewon;Kim, Duckhwan;Kim, Hung Soo
    • Journal of Wetlands Research
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    • v.18 no.1
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    • pp.76-83
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    • 2016
  • In recent, the series of extreme storm events were occurred by those continuous typhoons and the severe flood damages due to the loss of life and the destruction of property were involved. In this study, we call Mega flood for the Extreme flood occurred by these successive storm events and so we can have a hypothetical Mega flood by assuming that a extreme event can be successively occurred with a certain time interval. Inter Event Time Definition (IETD) method was used to determine the time interval between continuous events in order to simulate Mega flood. Therefore, the continuous extreme rainfall events are determined with IETD then Mega flood is simulated by the consecutive events : (1) consecutive occurrence of two historical extreme events, (2) consecutive occurrence of two design events obtained by the frequency analysis based on the historical data. We have shown that Mega floods by continuous extreme rainfall events were increased by 6-17% when we compared to typical flood by a single event. We can expect that flood damage caused by Mega flood leads to much greater than damage driven by a single rainfall event. The second increase in the flood caused by heavy rain is not much compared to the first flood caused by heavy rain. But Continuous heavy rain brings the two times of flood damage. Therefore, flood damage caused by the virtual Mega flood of is judged to be very large. Here we used the hypothetical rainfall events which can occur Mega floods and this could be used for preparing for unexpected flood disaster by simulating Mega floods defined in this study.

A Validity Study on Brand Identity-based Strategy Model for Culture Content's One Source Multi Use : A Case Study on (브랜드 아이덴티티 기반 OSMU 전략 모델의 타당성 연구 : <해리포터 (Harry Potter)>를 중심으로)

  • Kim, Young Jae
    • Cartoon and Animation Studies
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    • s.32
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    • pp.289-313
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    • 2013
  • According to many researches on brand management, the decision makings on brand marketing should center on the brand identity. Based on the brand management theory, Brand Identity-based OSMU Strategy has been suggested, in which the decision makings for culture content's OSMU should be focused on the brand identity of content to maximize the brand equity. In this study, the effectiveness of suggested brand identity-based OSMU strategy model is empirically studied, together with the effect on the brand equity. The study on the consumer's attitude toward the Harry Potter T-shirt with the associations of 'magic, courage and confrontation against evil' proved that consumers respond more favorably in terms of their recognition of the fit-to-content, preference and perceived quality. With this result, the positive effect of brand identity-based OSMU on consumer attitude is verified. On the other hand, the study on the effect of brand identity bearing T-shirt on brand equity did not support the hypothesis that the brand identity-based OSMU has the positive feedback effect on the brand equity of culture content. Still, while the brand equity is established through the long period of time with consumer's consistent experience on the certain culture content, the effect of brand identity-based OSMU on brand equity has a room for further discussion and research. While the ultimate goal of marketing is to create the power brand with high brand value, the further discussion on the effective culture content OSMU strategy to create a power brand is needed.

Comparison of Longitudinal Wave Velocity in Concrete by Ultrasonic Pulse Velocity Method and Impact-Echo Method (초음파 속도법과 충격반향기법에 의한 콘크리트의 종파 속도 비교)

  • Lee, Hoi-Keun;Lee, Kwang-Myong;Kim, Young-H.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.23 no.2
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    • pp.98-106
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    • 2003
  • Nondestructive test (NDT) provides much information on concrete without damage of structural functions. Of NDT methods, elastic wave propagation methods, such as ultrasonic pulse velocity (UPV) method and impact-echo (IE) method, have been successfully used to estimate the strength, elastic modulus, and Poisson's ratio of concrete as well as to detect the internal microstructural change and defects. In this study, the concretes with water-binder ratio ranging from 0.27 to 0.50 and fly ash content of 20% were made and then their longitudinal wave velocities were measured by UPV and IE method, respectively. Test results showed that the UPV is greater than the longitudinal wave velocity measured by the If method, i.e., rod-wave velocity obtained from the same concrete cylinder. It was found that the difference between the two types of velocities decreased with increasing the ages of concrete and strength level. Moreover, for the empirical formula, the dynamic Poisson's ratio, static and dynamic moduli of elasticity, and velocity-strength relationship were determined. It was observed that the Poisson's ratio and the modulus of elasticity determined by the dynamic method are greater than those determined by the static test. Consequently, for the more accurate estimation of concrete properties using the elastic wave velocities, the characteristics of these velocities should be understood.

Seasonal Monitoring of Airborne Microbial Concentrations in Kindergartens (유치원의 실내환경에서 공기중 미생물 수의 계절적 변화)

  • Hwang, Gwang-Hwan;Lee, A-Mi;Sin, Hyeon-Jin;Kim, Jong-Seol
    • Korean Journal of Microbiology
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    • v.39 no.4
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    • pp.253-259
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    • 2003
  • To assess microbiological indoor air quality in kindergartens, concentrations of viable airborne microorganisms were seasonally determined at three kindergartens in Ulsan from April, 2002 to January, 2003. Sampling was performed with an impaction-type air sampler and three different media. The numbers of bacteria grown on Staphylococcus medium were between 84 and 4,150 MPN/m3 with an average of 827 MPN/m3, and those on standard method agar ranged from 50 to 2,636 MPN/m3 with an average of 580 MPN/m3. The bacterial concentrations were highest in summer, followed by fall, spring, and winter, and were significantly correlated with indoor temperature. Among the colonies, 45.6~61.0% were observed as Gram-positive cocci and 8.5~20.6% were Gramnegative rods. Micrococcus species were the dominant organisms. The numbers of fungi ranged from 0 to 1,888 MPN/m3(661 MPN/m3 average) based on colony counts with dichloran rose bengal chloramphenicol agar. On average, the fungal concentrations were highest in summer and lowest in winter. Penicillium species and Aspergillus species were identified from the colonies. The obtained data can be utilized as a step to set a guideline for bioaerosols in indoor environment of schools.

On-Line music score recognition by DPmatching (DP매칭에 의한 On-Line 악보인식)

  • 구상훈;이병선;김수경;이은주
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2002.11a
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    • pp.502-511
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    • 2002
  • 컴퓨터의 기술적 발전은 사회 여러 분야에 막대한 영향을 끼쳤다. 그중 악보인식분야에도 커다란 영향을 주었다. 그러나, On-line 상에서 그린 악보를 실시간으로 정형화된 악보형태로 변환하는 처리에 대한 연구가 미흡하여 이에 대한 연구가 필요하다. 본 논문에서는 실시간으로 악보를 인식하고, 사용자의 편의를 도모하기 위해 DP(Dynamic Programming) 매칭 법을 이용한 On-Line 악보인식에 관한 방법을 제안하였다. 본 연구에서는 실시간으로 입력되는 악상기호를 인식하기 위해, 가장 유효한 정보인 악상 기호내의 방향, x, y 좌표를 이용하여 벡터형태로 추출한 후 음표와 비음 표(쉼표, 기타기호)의 두개의 그룹으로 나누어진 표준패턴과의 DP매칭을 통해 인식한다. 먼저 tablet을 통해 실시간으로 악상 기호를 입력할 때 생기는 x, y좌표를 이용하여, 펜의 움직임에 대한 16방향 부호화를 수행한다. 음표와 비 음표를 구분하기 위한 시간을 줄이고자 16방향 부호화를 적용하지 않고 사사분면부호화를 적용한다. 음표를 약식으로 그릴 경우 음표 머리에 해당하는 부분의 좌표는 삼사분면에 분포하고, 폐곡선의 음표일 경우에는 좌표가 사사분면에 고르게 나타난다. 폐곡선을 제외한 음표의 머리는 폐곡선과 같은 조건이면서 입력받은 y좌표 값들 중에서 최소 값과 최대 값을 구한 다음 2로 나눈 값을 지나는 y좌표의 개수가 임의의 임계값 이상이면 음표로 판단한다. 위 조건을 만족하지 않을 경우 비 음표로 취급한다. 음표와 비 음표를 결정한 다음, 입력패턴과 표준패턴과의 DP매칭을 통하여 벌점을 구한다. 그리고 경로탐색을 통해 벌점에 대한 각각의 합계를 구해 최소 값을 악상기호로 인식하였다. 실험결과, 표준패턴을 음표와 비음표의 두개의 그룹으로 나누어 인식함으로써 DP 매칭의 처리 속도를 개선시켰고, 국소적인 변형이 있는 패턴과 특징의 수가 다른 패턴의 경우에도 좋은 인식률을 얻었다.리되고 이원화된 코드체계와 데이터 형태의 이질화를 통일하는 방법으로 데이터웨어하우스 시스템을 제시하였다. 결국 병원에서 데이터웨어하우스 시스템의 구축은 임상, 연구, 교육의 유기적 순환관계를 정립하여 지식의 순환적 고리인 수집, 공유, 확산, 재창출을 지속적 유지할 수 있는 인프라를 구축해 준다. 반면 상이한 정보들간의 충돌과 이에 따른 해석의 오류로 잘못된 의사결정을 위한 정보를 제공할 수 있고 기초정보의 접근 및 추출의 유용성에 의해서 정보유출에 대한 문제가 한계점으로 나타났다.로세스 개선을 위해서 무엇을 정말로 필요로 하는지를 밝힘으로써, 한국 소프트웨어 산업의 현실적인 특수성을 고려한 소프트웨어 프로세스 평가와 개선 모델의 개발을 위한 기초적인 자료를 제공할 것으로 예상된다. 또한, 본 연구 결과는, 우리나라 소프트웨어 조직들이 실제로 무엇을 필요로 하는지를 밝힘으로써, 우리나라의 소프트웨어 산업을 육성하기 위한 실효성 있는 정책 입안을 위한 기초 자료를 제공할 것으로 예상된다.를 검증하려고 한다. 협력체계 확립, ${\circled}3$ 전문인력 확보 및 인력구성 조정, 그리고 ${\circled}4$ 방문보건사업의 강화 등이다., 대사(代謝)와 관계(關係)있음을 시사(示唆)해 주고 있다.ble nutrient (TDN) was highest in booting stage (59.7%); however no significant difference was found among other stages. The concentrations of Ca and P were not different among mature stages. According to these results, the yellow ripe period is appropriate to harvest the whole crop rice for forage considering

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