• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1521-1538
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• 2017

There have been many researches on the optimal military size of unified Korea. However, most studies have used qualitative evaluation methods using subjective data. In addition, two studies incorporating statistical methodologies fail to derive appropriate results due to errors in selection of variables and the use of subjective data. Therefore, in this study, we use the ratio data instead of the country specific defense related data for 30 major countries in the world. We applied the logic of demand and supply of economics. The supply equations were produced by regression linear equation of the active ratio and defense ratio. The demand equations were produced as an inverse curves using the same coordinate system as the supply equation. With such a method, we estimated the appropriate military size and defense ratio for each of conscript and recruit system in unified Korea about 20 - 30 years later.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.2
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• pp.86-94
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• 2010

In this paper, we propose spatially adaptive color demosaicing of noisy Bayer data. When sensor noises are not considered in demosaicing, they may degrade result image. In order to obtain high resolution image, sensor noises are considered in the color demosaicing step. We identify flat, edge and pattern regions at each pixel location to improve the performance of the algorithm and to reduce complexity. Based on the pre-classified regions, the demosaicing of the G channel is performed using the local statistics to reduce the interpolation error. The sensor noise is simultaneously removed by a modified version of non-local mean filter in the green and in the color difference domain. The R and B channels are interpolated easily using fully interpolated and denoised G and color difference values. Experimental results show that the proposed method achieves a significant improvement in terms of visual and numerical criteria, when compared to conventional methods.

• Journal of Korea Water Resources Association
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• v.46 no.3
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• pp.229-243
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• 2013

Hydrological simulation Program-Fortran (HSPF) model was used to simulate streamflow and snow depth at Pyengchang watershed. The selected Global Climate Models (GCMs) provided by the Coupled Model Intercomparision Project Phase 3 (CMIP3) were utilized to evaluate streamflow and snow depth driven by future climate scenarios, including A1, A1B, and B1. Bias-correlation and temporal downscaling processes have been performed to minimize systematic errors between GCMs and HSPF. Based on simulated monthly streamflow and snow depth after calibration, the results indicate that HSPF performs well. The correlation coefficient between the observed and simulated monthly streamflow is 0.94. Snow depth simulations also show high correlation coefficient, which is 0.91. The results indicate that snow depth in 2018 at Pyongchang winter olympic venues will decrease by 17.62%, 9.38%, and 7.25% in January, February, and March respectively, based on streamflow realizations induced by all GCMs ensembles.

• Journal of the Korea Institute of Building Construction
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• v.9 no.6
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• pp.131-139
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• 2009

It is critical to select the appropriate type of tower cranes for the construction of super tall buildings. However the selection is often made based on subjective personal experiences due to the lack of historical and analytical data. As a result, planning mistakes and efficiency errors sometimes occur. This research is to develop a system of hoisting analysis for appropriate tower crane selection and to provide a flexible statistical model based on the Burj Dubai project. In addition, this system hassupporting functions that can estimate the target construction period per floor, and a decision-making construction period computation method which is based on the characteristic of the selected tower cranes.

• The KIPS Transactions:PartD
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• v.10D no.1
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• pp.133-142
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• 2003

The major challenge for post-genomic study is to identify structural similarity and relationships of proteins. SCOP (Structural Classification of Proteins) is a typical database for this purpose, providing a derailed description of the structural and functional relationships of the proteins whose three-dimensional structures have been determined. Unfortunately, since the SCOP data is only available as a plain text format, it is cumbersome and error-prone to develop tools and resources to utilize the data more effectively. To meet these researchers to utilize the data more effectively. To meet these requirements, we have developed an XML representation for the SCOP site, users of the tool, named, SCOPBrowser, for effective search of SCOP database. In addition to the information available from the SCOP site, users of the tool can obtain various information such as viewing the tree hierarchy of structure classification of proteins, searching into whole protein domains, showing XML contents of a specific domain, and some useful statistics about protein structures.

• Journal of KIISE:Computer Systems and Theory
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• v.37 no.3
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• pp.127-137
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• 2010

As large-scale computational applications in various scientific domains have been utilized over many integrated sets of grid computing resources, the difficulty of their execution management and control has been increased. It is beneficial to refer job history generated from many application executions, in order to identify application‘s characteristics and to decide selection policies of grid resource meaningfully. In this paper, we apply a statistical technique, Plackett-Burman design with fold-over (PBDF), for analyzing grid environments and execution history of applications. PBDF design identifies main factors in grid environments and applications, ranks based on how much they affect to their execution time. The effective factors are used for selecting reference job profiles and then preferable resource based on the reference profiles is chosen. An application is performed on the selected resource and its execution result is added to job history. Factor's credit is adjusted according to the actual execution time. For a proof-of-concept, we analyzed job history from an aerospace research grid system to get characteristics of grid resource and applications. We built JARS algorithm and simulated the algorithm with the analyzed job history. The simulation result shows good reliability and considerable performance in grid environment with frequently crashed resources.

• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.445-450
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• 2019

This study proves that syringe reuse of automated injection system entails a risk of contrast media reflux and saline solution contamination which are pumped by a piston into the patients' venous cannula in the dynamic MR images, we will be aware of the serious problem. To quantify the contrast media contamination effect on the saline solution, identical volume of the saline solution was collected before and after the contrast injection to the patients' venous cannula following T1 weighted image scanning to verify whether signal intensities differences are observed. The signal intensity of saline solution after the contrast injection was significantly higher than that of saline before injection by 523.43%. This result is due to the backflow that contaminates the saline solution on the opposite side when the contrast agent is injected. In conclusion, the syringe used to inject contrast medium. causes cross-contamination due to contrast reflux. Therefore, even if the same patient's examination is used for quantitative analysis, the error should be avoided by changing the acquisition sequence or replacing the syringe.

• Journal of the Korean School Mathematics Society
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• v.11 no.3
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• pp.513-541
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• 2008

The purposes of the study were to investigate whether the use of the Geometer's Sketchpad(GSP) is more effective than the use of traditional tools such as ruler and protractor to enhance eighth- grade students' understanding of quadrilaterals and geometric reasoning ability and to examine how the use of the software affects on the development of students' understanding and reasoning ability. According to the results of the posttest, there was a significant difference in student achievement between students using GSP and students using ruler and protractor. Students using GSP significantly outperformed students using ruler and protractor on the posttest. Student interview data showed that the use of the GSP was more effective in developing students' geometric reasoning ability. Students using GSP achieved higher degrees of acquisition for van Hiele level 2 and 3 than students using ruler and protractor. Dynamic visual representations and hands-on experiences provided in GSP learning environment helped students approach quadrilateral concepts more conceptually and realize their pre-existing conceptual errors and re-conceptualize their mathematical ideas.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.11a
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• pp.304-318
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• 2002

본 연구는 종합병원에서 운영중인 병원정보시스템(Hospital Information System)을 기준으로 업무별 데이터 마트를 구성하여 종합병원 데이터 웨어하우스 시스템을 제안하는 연구이다. 본 연구에서 제안한 병원 데이터웨어하우스 모형은 충남대학교병원 데이터 웨어하우스 시스템 구축 보고서, Inmon의 데이터 웨어하우스 개발방법론에 기초를 두었다. 종합병원의 데이터하우스시스템을 제안하면 다음과 같다. 첫째, 원무 데이터마트, 병원의 원무팀에서 주로 사용하는 것으로써 수입에 관련된 정보, 진료인원에 관한 정보, 심사/청구/삭감에 관한 정보들로 구성되어 있다. 둘째, 약국 데이터마트, 처방전달 데이터 마트와 연결되어 외래/입원의 처방에 관한 정보, 약에 대한 효능과 성분에 대한 정보, 투약과 검사에 대한 정보들로 구성된다. 셋째, 의무기록 데이터마트, 의무기록팀에서 관리하는 퇴원요약 정보, 암환자에 대한 정보, 외래/입원 환자 통계에 대한 정보들로 이루어진다. 넷째, 처방전달 데이터마트, 주로 의사가 환자에게 행한 처치/처방/수술과 진료기록에 대한 정보들을 기준으로 환자진료나 임상연구에 필요한 정보를 제공한다. 다섯째, 병원 행정 데이터마트, 인사정보, 급여정보, 회계정보, 예산정보, 물류정보 등으로 구성되어 병원의 자원활용이나 행정에 대한 전반적인 정보를 제공한다. 여섯째, 경영지원 데이터마트, 병원경영에 필요한 수입정보, 원가분석 정보, 진료인원 정보들을 요약한 형태로 제공한다. 또한 의사결정 형태도 의료진 중심의 병원에서 환자중심의 병원으로 구조를 바꾸었고 투명한 정보공유와 기초 데이터들의 정제는 부가가치가 높은 정보로 가공할 수 있게 되었으며 각 전문 직종간의 단절된 정보 흐름을 유기적으로 교환할 수 있게 되어 지식의 교환을 촉진시켰다 그리고 온라인거래처리시스템(OLTP)의 한계점인 하드웨어적인 문제와 성능 저하에 대한 문제를 해결하였고, OLTP시스템에서 분리되고 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.

• Korean Journal of Poultry Science
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• v.39 no.3
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• pp.233-239
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• 2012

Public forecasts for broiler's prices such as Korea Rural Economic Institute (KREI) outlook information are important for producers and agribusiness decision makers in enhancing economic decision making. However, the KREI forecasts have not been fully evaluated so far. In this study agricultural outlook price forecasts for broiler are evaluated under accuracy-based measures and classification-based measures which test the ability to categorize price movements directionally or within a forecasted range. Agricultural outlook price forecasts for broiler are efficient but biased. In the aspect of the monthly direction of price change 59% of its forecasts over the sample period are correct, and actual prices fall within the forecasted range 32% of the time. Results suggest that it is necessary and meaningful for the agricultural outlook center to evaluate the current forecasting method and try to find an alternative method for improving the forecasting technique.