• Journal of Information Processing Systems
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• 제8권2호
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• pp.263-278
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• 2012

The data grid provides geographically distributed resources for large-scale applications. It generates a large set of data. The replication of this data in several sites of the grid is an effective solution for achieving good performance. In this paper we propose an approach of dynamic replication in a hierarchical grid that takes into account crash failures in the system. The replication decision is taken based on two parameters: the availability and popularity of the data. The administrator requires a minimum rate of availability for each piece of data according to its access history in previous periods, but this availability may increase if the demand is high on this data. We also proposed a strategy to keep the desired availability respected even in case of a failure or rarity (no-popularity) of the data. The simulation results show the effectiveness of our replication strategy in terms of response time, the unavailability of requests, and availability.

• 한국응급구조학회지
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• 제9권1호
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• pp.101-109
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• 2005

The purpose of this study which was done by 250 Prehospital Care Reports(PCRs) survey of some squads in Seoul Metropolitan Fire & Disaster Management Department was to improve prehospital emergency care by means of quality management. The data were collected in 3 squads from Jun. 21 to Jul. 18, 2004 and analyzed by using SPSS Win 12.0 Version. The conclusions from this study were summarized as follows. The mean time of Event to treatment interval was $4.6{\pm}4.3$ minutes and 49.2% arrived at patient within 4 minutes. Platinum minute was observed 61.1% of verbal response, 73.3% of painful response, 77.8% of unresponsive. The great majority of patients couldn't receive advanced life support on account of limited scope of practice and strict direct medical control in the Emergency Medical Services Act. Data from quality improvement activity will be useful to expand indirect medical control which is able to activate prehospital care. To utilize PCR for quality improvement. It has to have data elements, run data, patient data, check boxes, narrative including US DOT's minimum data set.

• Journal of the Korean Data and Information Science Society
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• 제21권2호
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• pp.355-361
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• 2010

This paper addresses a mathematical approach to decision making in a real-world material distribution situation. The problem is characterized by a low-volume and highly-varied mix of products, therefore there is a lot of material movement between the facilities. This study focuses especially on the transportation scheduler with a tool that can be used to quantitatively analyze the volume of material moved, the type of truck to be used, production schedules, and due dates. In this research, we have developed a mixed integer programming problem using the minimum cost, multiperiod, multi-commodity network flow approach that minimizes the overall material movement costs. The results suggest that the optimization approach provides a set of feasible solution routes with the objective of reducing the overall fleet cost.

• Nutrition Research and Practice
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• 제11권6호
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• pp.500-506
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• 2017

BACKGROUND/OBJECTIVES: Food composition databases are necessary for assessing dietary intakes. Developing and maintaining a high quality database is difficult because of the high cost of analyzing nutrient profiles and the recent fast-changing food marketplace. Thus, priorities have to be set for developing and updating the database. We aimed to identify key foods in the Korean diet to set priorities for future analysis of foods. SUBJECTS/METHODS: The food consumption data of the Korea National Health and Nutrition Examination Surveys 2013-2014 were used. We modified the US Department of Agriculture's key food approach. First, major foods were analyzed, contributing to 75%, 80%, 85%, or 90% of each nutrient intake. Second, the cumulative contributions to nutrient intakes were compared before and after excluding the foods least commonly consumed by individuals. Third, total nutrient score for each food was calculated by summing all percent contributions times 100 for nutrients. To set priorities among the foods in the list, we sorted the score in descending order and then compared total percent contributions of foods, within the 100, 90, 85, 80, and 75 percentiles of the list. Finally, we selected the minimum list of foods contributing to at least 90% of the key nutrient intake as key items for analysis. RESULTS: Among the 1,575 foods consumed by individuals, 456 were selected as key foods. Those foods were chosen as items above the 80 percentile of the total nutrient score, among the foods contributing at least 85% of any nutrient intake. On an average, the selected key foods contributed to more than 90% of key nutrient intake. CONCLUSIONS: In total, 456 foods, contributing at least 90% of the key nutrient intake, were selected as key foods. This approach to select a minimum list of key foods will be helpful for systematically updating and revising food composition databases.

• 정보관리연구
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• 제36권1호
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• pp.33-56
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• 2005

본 연구에서는 인터넷 상에서 국가 통계 데이터의 자유로운 활용과 공개를 위해 필요한 메타데이터 표준안을 제안하였다. 설계는 우리나라 통계조사보고서와 통계청 내부 확장 메타데이터 기준을 기반으로 국제기준에서 요구하는 최소한의 메타데이터 세트가 포함되도록 하였다. 그 결과, SDMX와 SDDS의 중복요소에서 29개의 항목을 채택하고, 더블린 코어에서 14개의 항목을 채택하여 최종적으로 43개로 이루어진 국가 통계표준 메타데이터를 완성하였다.

• 간호행정학회지
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• 제12권3호
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• pp.464-472
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• 2006

Purpose: The aim of this study was to define the health problem in the community-dwelling elderly of Korea and to compare differences of CAPs(Client Assessment Protocols) by characteristics. Method: Data was collected by visiting nurse from 556 elderly over 65 years in selected metropolitan areas. To evaluate the functional state of elderly in the community, I used "RAI-MDS HC; Residental Assessment Instrument Minimum Data Set-Home Care(2.0 version)" and established information exchange system among resources, by developing the data into a computer program. Results: The health problem of 'preventive health measures' was the largest(99.6%), and then 'health promotion(85.3%)', 'visual function(75.5%)', 'psychologic drug(68.9%)', 'pain(68.5%)', ‘social function(59.2%)', 'communication disorders(56.2%)', 'environmental assessment(53.2%)', 'depression & anxiety(46.9%)', 'oral health(43.4%)' followed. The number of health problems was average 10.16 in the community-dwelling elderly. Conclusion: The results suggest the need to emphasize the importance of assessment of the health problem of the elderly. We can apply it in the distribution of community resources and the development of service providing programs by figure out the health problem and resource in need for the elderly in the community.

• 한국물환경학회지
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• 제28권4호
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• pp.538-550
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• 2012

This study suggests a general methodology which is designed for assessing RDOC behavior at the catchment scale by coupling properly a series of steam flow and water quality simulation models and actual monitoring data set. The modified TANK model in which a river routing function is incorporated to the conventional one is applied to simulate the long-term daily stream flow data, and the simulated stream flow data is combined with the 7-parameter log-linear model coupled to the minimum variance unbiased estimator to simulate the long-term daily water quality (BOD, COD and TOC) loads. Finally, the regression analysis between the usually monitored water quality data (BOD, COD and TOC) and RDOC is combined with the simulated water quality data to manifest the spatio-temporal variability of RDOC flux behavior at the Korean TMDL catchment scale.

• Communications for Statistical Applications and Methods
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• 제28권5호
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• pp.563-582
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• 2021

This paper deals with developing a general class of accelerated sequential procedures and obtaining the associated second-order approximations for the expected sample size and 'regret' (difference between the risks of the proposed accelerated sequential procedure and the optimum fixed sample size procedure) function. We establish that the estimation problems based on various lifetime distributions can be tackled with the help of the proposed class of accelerated sequential procedures. Extensive simulation analysis is presented in support of the accuracy of our proposed methodology using the Pareto distribution and a real data set on carbon fibers is also analyzed to demonstrate the practical utility. We also provide the brief details of some other inferential problems which can be seen as the applications of the proposed class of accelerated sequential procedures.

• 환경정책연구
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• 제4권1호
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• pp.93-111
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• 2005

토양의 질(Soil Quality)에 대한 개념은 과거 식량생산을 위한 기반으로서의 토양에 대한 연구부터 1970년대 후반 Warkentin and fletcher(1977)에 의해 제안된 환경의 구성 요소로서의 토양에 대한 연구에 이르기까지 수많은 변화를 거쳐 왔다. 토양의 질에 대한 개념은 그 관점에 따라 다르지만 토양이 본래의 기능을 효과적으로 수행할 수 있는 용량으로 요약할 수 있다. 국제경제협력개발기구(OECD)에서도 토양의 질을 농업환경의 주요지표로 설정하여 토양유실과 토양탄소를 토양질 평가의 세부지표로 제시하였으며, 각 국가별로 활발한 연구가 수행 중에 있다. 본 논문에서는 현재까지 제안된 토양질의 주요 개념을 살펴보고 국내외의 토양질 평가체계를 비교 분석하고자 하였다. 토양질의 평가 체계는 최소자료군(Minimum Data Set)을 이용한 토양질 지표의 선정, 선별된 지표의 표준점수화함수(Standard Scoring Function), 각 지표의 통합을 통한 토양질의 점수화의 세 단계로 구분하여 분석하였다. 토양의 질 지표는 물리 화학 생물학적 지표로 분류할 수 있으며, 이 중 토양침식, 전용적밀도, 토심, 입단안정화도, 토성, 수분보유력, 유효수분함량은 물리적 질 지표로 주로 사용된다. 화학적 질 지표로는 유기물, pH, 전기전도도, 질소 인산 가리, 중금속 등이 있고, 생물학적 지표로는 미생물탄소 질소, 무기화 가능한 질소, 토양호흡이 주로 사용된다. 또한, 토양질 지표의 직접적인 측정이 어려운 경우에는 토양특성 환산식(Pedotransfer Function)을 이용하여 각 지표의 값을 추정할 수 있다. 현재 선진국에서는 SINDY를 비롯한 다양한 프로그램을 구축하고 있으며, 국내에서도 국가적인 차원의 자료구축을 통해 선별된 최소자료군의 계량화모델을 확립하여 웹기반의 프로그램을 구축해야 할 것이다. 현재까지 토양질의 계량화에 대한 연구는 주로 작물의 수량을 중심으로 이루어졌지만 향후 지속가능한 토양환경의 관리를 위해서는 환경의 질과 인간의 건강을 종합적으로 고려한 토양의 질 지표 개발에 대한 연구가 필요할 것이다.

• 디지털융복합연구
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• 제12권12호
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• pp.293-301
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• 2014

본 논문에서는 데이터 마이닝에 필요한 클러스터링과정에서 불필요한 정보를 감축하기 위하여 베이지언 사후확률의 신뢰도를 이용한 새로운 척도를 제안한다. 데이터 감축을 위한 속성의 중요도가 클러스터링의 결과에 지배적이기 때문에 많은 속성의 변별력을 향상시키기 위하여 사후확률의 신뢰도에 정보 엔트로피를 적용하였다. 제안된 사후확률을 기반으로 한 러프 엔트로피 척도에 의한 속성의 신뢰도의 중복성은 엔트로피의 자연로그에 의하여 상당히 줄어든다. 따라서 제안된 척도에 의하여 생성된 군집화 알고리즘은 속성값의 변별력을 향상시켜 기존의 리덕트를 최소화하였고, 이는 분할의 효율성을 향상시킬 수 있었다. 제안된 알고리즘의 검증을 위해 패턴분류 문제에 적용되는 ACME 데이터에 대하여 속성간의 변별력, 분할결과에 따른 분할의 순정도를 기존의 알고리즘과 비교 분석하였다.