• Journal of the Korea Society of Computer and Information
• /
• v.27 no.12
• /
• pp.69-76
• /
• 2022

This paper proposes a method of refining and processing time-series data using Medical Information Mart for Intensive Care (MIMIC-IV) v2.0 data. In addition, the significance of the processing method was validated through a machine learning-based pressure ulcer early warning system using a dataset processed based on the proposed method. The implemented system alerts medical staff in advance 12 and 24 hours before a lesion occurs. In conjunction with the Electronic Medical Record (EMR) system, it informs the medical staff of the risk of a patient's pressure ulcer development in real-time to support a clinical decision, and further, it enables the efficient allocation of medical resources. Among several machine learning models, the GRU model showed the best performance with AUROC of 0.831 for 12 hours and 0.822 for 24 hours.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.382-382
• /
• 2022

우즈베키스탄은 수자원의 의존도가 매우 큰 국가이다. 과거로부터 농업이 발달하였으며 하천에서 용수를 취수하여 농업용수로 이용하지만 연간 강수량이 적어 수자원의 대부분은 중앙아시아 공유 하천인 Amudarya강과 Syrdarya강에서 취수하여 사용한다. 이들 하천의 수자원은 하천의 상류에 위치한 키르기스탄과 타지기스탄에서 주로 기원하고 있어 우즈베키스탄은 물안보에 매우 취약한 실정이다. 우즈베키스탄은 물사용량 중 약 90%가 농업용수로 이용되고 있으나 수자원의 양이 부족하고 관개시설의 노후화 및 비효율적인 용수공급으로 농업생산성이 낮다. 우즈베키스탄은 수자원의 관리를 위하여 주요 하천 및 수로지점에 유량관측소를 설치하여 운영하고 있지만 시설의 노후화로 인하여 관측자료의 정확도가 낮으며 수기로 일단위로 측정하여 보고하는 방식으로 인하여 적기에 합리적인 용수배분 의사결정이 어려운 실정이다. 이러한 문제를 해결하기 위한 하나의 방법으로 우즈베키스탄 수자원부는 우즈베키스탄에 수자원 관리 정보화사업을 소개하고 적용하는 것이 필요하다고 판단하였으며, 수자원정보화사업을 우즈베키스탄에 적용하기 위하여 수자원정보화에 있어서 선진국이라 할 수 있는 한국의 기술을 우즈베키스탄에 활용하도록 요청하였다. 이에 따라 2016년부터 "우즈베키스탄 ICT기반의 물관리 마스터 플랜 수립 및 시설기반강화 시범사업"을 수행되게 되었다. 본 사업의 목적은 "수자원정보시스템의 개발 및 역량강화로 수자원정보화 기반을 구축"하는 것으로 우즈베키스탄 전국에 ICT 기반의 수문계측 및 수자원관리 시스템 구축 등 선진화된 수자원 정보 시스템을 개발하고, 향후 지속가능한 유지·보수·관리를 위한 현지 전문가 대상의 역량 강화 사업(수문계측기기, 시스템운영 및 유지보수 등)을 통해 본 사업의 현지정착을 도모하고자 하는 것이다.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.3 no.2
• /
• pp.61-72
• /
• 2000

The maturation of the Web technology has reshaped the ways in which data are accessed, disseminated, and shared. Thanks to its popularity along with the advance of spatial information technology, four major changes have been further made in traditional geographic information systems (GIS) in relation to access to data, distribution of data, access to GIS functionality, and visualization of multimedia data. Although access to and dissemination of spatial data over the Web has in recent years been addressed in the literature, little research effort has addressed the issue of access to and processing of GIS analysis functions over the Web. This research explores the potential use of Web-based GIS in improving accessibility to distributed spatial data and spatial modeling tools. A prototype Web-based GIS developed in this study focuses on Web-based location-allocation modeling for spatial decision support, and employs a hybrid approach that uses the Arc/Info software as a GIS server and CGM viewer as a client-side plug-in. This research shows that Web-based GIS is a useful vehicle in conducting spatial modeling in the particular user community. In addition, this study represents the possibility of Web-based GIS in developing open spatial decision supporting systems.

• Journal of Korea Technology Innovation Society
• /
• v.20 no.3
• /
• pp.732-753
• /
• 2017

Recently, when evaluating the technology values in the fields of biotechnology, pharmaceuticals and medicine, we have needed more to estimate those values in consideration of the period and cost for the commercialization to be put into in future. The existing discounted cash flow (DCF) method has limitations in that it can not consider consecutive investment or does not reflect the probabilistic property of commercialized input cost of technology-applied products. However, since the value of technology and investment should be considered as opportunity value and the information of decision-making for resource allocation should be taken into account, it is regarded desirable to apply the concept of real options, and in order to reflect the characteristics of business model for the target technology into the concept of volatility in terms of stock price which we usually apply to in evaluation of a firm's value, we need to consider 'the continuity of stock price (relatively minor change)' and 'positive condition'. Thus, as discussed in a lot of literature, it is necessary to investigate the relationship among volatility, underlying asset values, and cost of commercialization in the Black-Scholes model for estimating the technology value based on real options. This study is expected to provide more elaborated real options model, by mathematically deriving whether the ratio of the present value of the underlying asset to the present value of the commercialization cost, which reflects the uncertainty in the option pricing model (OPM), is divided into the "no action taken" (NAT) area under certain threshold conditions or not, and also presenting the estimation logic for option values according to the observation variables (or input values).

• Journal of Convergence for Information Technology
• /
• v.10 no.11
• /
• pp.302-312
• /
• 2020

This study examined whether there is a difference in cost asymmetry between a corporate listed on KOSDAQ and a corporate listed on KOSPI, and whether there is a difference in cost asymmetry depending on the size of the listed corporate. In the previous study, cost asymmetry was examined only for listed corporate, but the difference in size between KOSDAQ-listed corporate and KOSPI-listed corporate was not examined. However, according to many studies, since the characteristics of corporate and firm risks are different between corporate listed on KOSPI and corporate listed on KOSDAQ, or even for listed corporate, such an impact may affect the decision-making of internal resource allocation. The analysis was conducted that there would be a difference in the impact. For this study, the results of analyzing the KOSPI and KOSDAQ markets from 2011 to 2019 using the cost behavior model of Anderson et al. (2003), There was a difference in cost behavior in the KOSPI and KOSDAQ markets. Overall, as in previous studies, Cost Stickiness was appeared. but in the case of the KOSPI market, Cost Stickiness was mitigated.It was found that corporate with large corporate size made the decision to dispose of idle resources more clearly when sales decreased. In addition, it was observed that the higher the foreign investor's ownership ratio, the KOSPI market, and the larger the corporate size, the more clearly the Stickiness of cost was mitigated. This study expands research on cost asymmetry and reveals that there is a difference between the KOSPI market and the KOSDAQ market, and between the size of the corporate, and has a differentiation from previous studies.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2007.05a
• /
• pp.1650-1654
• /
• 2007

홍수와 가뭄의 증가, 수질악화, 물부족 등 물 문제 해결을 위한 대안으로 통합수자원관리에 대한 논의가 국제사회에서 활발하게 진행되고 있다. 국내에서도 많은 학자들이 수자원관리를 위한 새로운 대안으로 통합수자원관리를 주장하고 있지만, 추상적인 설명이 대부분이다. 따라서 본 연구는 통합수자원관리에 대한 정의, 원칙, 추진전략 등을 정리하여 통합수자원관리에 대한 종합적이고 체계적인 정보를 제공하고자 한다. 본 연구는 다음과 같은 흐름을 갖는다. 첫째, 수자원관리를 위한 새로운 대안으로 통합수자원관리가 등장하게 된 배경을 살펴보았다. 물문제를 해결하기 위해서는 연속적이고 상호작용하는 하나의 '시스템(係)'으로 수자원을 인식하고 관리해야 한다는 주장이 확산되고 있으며, 통합수자원관리가 그러한 인식을 갖고 있는 대안으로 등장하였다. 둘째, 통합수자원관리의 정의, 원칙 등을 조사하였다. 통합수자원관리는 자연의 지속가능성을 훼손하지 않으면서 경제적, 사회적 복지를 최대화하기 위하여 물, 토지 및 관련 자원의 조화로운 개발을 위한 과정으로 정의된다. 이러한 통합수자원관리를 위한 원칙으로는 지속가능한 수자원의 개발, 이용 및 관리원칙, 물순환 체계 고려 및 유역관리원칙, 이해당사자 참여 및 조정의 원칙, 비용부담 및 편익 균형배분의 원칙 등이 있다. 셋째, 통합수자원관리를 위한 추진방안을 제시하였다. 법제도 정비 및 부문별 통합관리강화, 수자원 관련 자료의 신뢰도 제고 및 의사결정 체계 구축, 관련계획과의 연계, 계획-실행-평가의 순환구축, 물관리 비용부담체계 구축 등이 통합수자원관리의 실행을 앞당길 수 있을 것이다. 본 연구는 통합수자원관리에 대하여 종합적인 정보를 제공하고 개선을 위한 추진방안을 제시하여 국내 수자원관리의 문제해결을 위한 기반을 구축하는 데에 기여할 것으로 기대된다. 범람범위의 1차적인 정보에서 수립할 수 있었던 계획이 가질 수 있었던 한계점을 좀 더 향상된 정보를 이용하여 극복함으로써 효율적이고 체계적인 치수 방재 계획수립이 가능할 것으로 판단된다.group) 67개, 속(family) 161개로 분류되었으며, 가장 저차단위인 통(series)이 390개 분류되었다. 또한 작물이용측면에서 실용적 분류를 실시하였는데, 논토양의 경우 보통논, 미숙논, 사질논, 습논, 염해논, 특이산성논으로 분류할 경우 각각의 분포면적이 31.9%, 23.0%, 31.9%, 9.1%, 3.9%, 0.2%이었다. 밭토양의 경우에도 보통밭, 사질밭, 미숙밭, 중점밭, 고원밭, 화산회밭으로 6개 유형으로 분류할 경우 각각의 분포면적은 41.9%, 23.3%, 17.5%, 13.9%, 1.1. 2.2% 이었다. 도시화 및 도로확대 등 다양한 토지이용 및 지형개변으로 과거의 토양정보가 많이 변경되었다. 그래서, 앞으로는 인공위성자료 및 항공사진을 이용하여 빠르고 쉽게 활용할 수 있는 토양조사 방법개발과 기 구축된 토양도의 수정, 보완 작업이 필요한 절실히 요구되고 있는 현실이다.브로 출시에 따른 마케팅 및 고객관리와 관련된 시사점을 논의한다.는 교합면에서 2, 3, 4군이 1군에 비해 변연적합도가 높았으며 (p < 0.05), 인접면과 치은면에서는 군간 유의차를 보이지 않았다 이번 연구를 통하여 복합레진을 간헐적 광중합시킴으로써 변연적합도가 향상될 수 있음을 알 수 있었다.시장에 비해 주가가 비교적 안정적인 수준을 유지해 왔다고 볼 수 있다.36.4%)와 외식을 선호(29.1%)${\lrcorner}$ 하기 때문에 패스트푸드를 이용하게 된 것으로 응답 하였으며, 남 여 대학생간에는 유의한 차이(p<0.05)가 인정되었다. 응답자의 체형은 ${\

• The Journal of the Korea Contents Association
• /
• v.16 no.9
• /
• pp.236-246
• /
• 2016

Social enterprise is an organization which use business activities as a means to achieve of social purposes. It has grown sharply since 2007 in Korea. However, now it is time had to pursue qualitative growth through the development of specialized business model. This study aims to identify business components using the Analytic Hierarchy Process (AHP) with experts and to develop a tailored business model for social enterprises in the fields of culture, performance, and the arts associated with the tourism based on regional demand within Gwangju. The analysis shows that job creation should be set as the main objectives to create value, and programs that offer hands-on experience with that fields can be the core competency. Cooperation among private corporations, local governments and agencies related to that fields is essential, as are programs provided through on- and off-line platforms. To develop a value proposition, customers must be segmented among a variety of the market participants.

• Journal of Service Research and Studies
• /
• v.9 no.4
• /
• pp.81-95
• /
• 2019

The concept of customer satisfaction is very important issue in the service firms. All service firms should delight theirs customers? Which service contexts creating customer delight results in better positive performance? This study is to examine the moderating effect of service type on the customer delight-behavioral intention relationship. Data from consumers across two distinct service contexts (retail banks and upscale restaurants) were obtained. Using the multiple moderating regression analysis, the proposed hypotheses in this study were tested. The results reveal that customer delight had a greater positive impact on both revisit and referral intention in the hedonic service than the utilitarian service. This study suggests specific service contexts where customer delight strategies generate better desirable results. The customer delight strategy is able to be applied in both hedonic and utilitarian services, but it is more effective to lead customer loyalty in the hedonic service than utilitarian services. Service firms need a strategic approach to customer satisfaction strategies. This study provide strategic implications for service firms to efficiently manage and allocate resources, and can help them in making decisions about establishing and implementing customer satisfaction strategies.

• Journal of Intelligence and Information Systems
• /
• v.25 no.2
• /
• pp.39-55
• /
• 2019

Recently banks and large financial institutions have introduced lots of Robo-Advisor products. Robo-Advisor is a Robot to produce the optimal asset allocation portfolio for investors by using the financial engineering algorithms without any human intervention. Since the first introduction in Wall Street in 2008, the market size has grown to 60 billion dollars and is expected to expand to 2,000 billion dollars by 2020. Since Robo-Advisor algorithms suggest asset allocation output to investors, mathematical or statistical asset allocation strategies are applied. Mean variance optimization model developed by Markowitz is the typical asset allocation model. The model is a simple but quite intuitive portfolio strategy. For example, assets are allocated in order to minimize the risk on the portfolio while maximizing the expected return on the portfolio using optimization techniques. Despite its theoretical background, both academics and practitioners find that the standard mean variance optimization portfolio is very sensitive to the expected returns calculated by past price data. Corner solutions are often found to be allocated only to a few assets. The Black-Litterman Optimization model overcomes these problems by choosing a neutral Capital Asset Pricing Model equilibrium point. Implied equilibrium returns of each asset are derived from equilibrium market portfolio through reverse optimization. The Black-Litterman model uses a Bayesian approach to combine the subjective views on the price forecast of one or more assets with implied equilibrium returns, resulting a new estimates of risk and expected returns. These new estimates can produce optimal portfolio by the well-known Markowitz mean-variance optimization algorithm. If the investor does not have any views on his asset classes, the Black-Litterman optimization model produce the same portfolio as the market portfolio. What if the subjective views are incorrect? A survey on reports of stocks performance recommended by securities analysts show very poor results. Therefore the incorrect views combined with implied equilibrium returns may produce very poor portfolio output to the Black-Litterman model users. This paper suggests an objective investor views model based on Support Vector Machines(SVM), which have showed good performance results in stock price forecasting. SVM is a discriminative classifier defined by a separating hyper plane. The linear, radial basis and polynomial kernel functions are used to learn the hyper planes. Input variables for the SVM are returns, standard deviations, Stochastics %K and price parity degree for each asset class. SVM output returns expected stock price movements and their probabilities, which are used as input variables in the intelligent views model. The stock price movements are categorized by three phases; down, neutral and up. The expected stock returns make P matrix and their probability results are used in Q matrix. Implied equilibrium returns vector is combined with the intelligent views matrix, resulting the Black-Litterman optimal portfolio. For comparisons, Markowitz mean-variance optimization model and risk parity model are used. The value weighted market portfolio and equal weighted market portfolio are used as benchmark indexes. We collect the 8 KOSPI 200 sector indexes from January 2008 to December 2018 including 132 monthly index values. Training period is from 2008 to 2015 and testing period is from 2016 to 2018. Our suggested intelligent view model combined with implied equilibrium returns produced the optimal Black-Litterman portfolio. The out of sample period portfolio showed better performance compared with the well-known Markowitz mean-variance optimization portfolio, risk parity portfolio and market portfolio. The total return from 3 year-period Black-Litterman portfolio records 6.4%, which is the highest value. The maximum draw down is -20.8%, which is also the lowest value. Sharpe Ratio shows the highest value, 0.17. It measures the return to risk ratio. Overall, our suggested view model shows the possibility of replacing subjective analysts's views with objective view model for practitioners to apply the Robo-Advisor asset allocation algorithms in the real trading fields.

• Information Systems Review
• /
• v.7 no.2
• /
• pp.101-115
• /
• 2005

IT companies make a lot of effort to share and utilize the experiences of their members and transform them into organizational knowledge as a competitive core. However they face a dilemma in that they have to spend time and financial resources to perform activities around knowledge management for the long-term gains, while carrying at field-work for making short-term profits. As an initial attempt to tackle this managerial problem, this paper tries to investigate the mechanism of knowledge management in a small IT company in Korea with a synthetic view-point using system dynamics simulation model. It depicts the dynamic behaviors of knowledge management and presents some findings of political leverage. Although this model has to be further replenished, the scheme for the dynamism of knowledge management and the findings presented in the paper could be useful for the decision makers, especially of knowledge-intensive organizations.