• Title/Summary/Keyword: Management Minimum Data Set

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Dynamic Replication Based on Availability and Popularity in the Presence of Failures

  • Meroufel, Bakhta;Belalem, Ghalem
    • Journal of Information Processing Systems
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    • v.8 no.2
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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.

An Analysis of Emergency Care Based on Prehospital Care Reports (일부 구급대의 응급처치활동 분석 - 구급활동일지를 중심으로 -)

  • Uhm, Tai-Hwan
    • The Korean Journal of Emergency Medical Services
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    • v.9 no.1
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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.

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An empirical study on the material distribution decision making

  • Ko, Je-Suk
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.2
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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.

Selection of key foods for the systematic management of a food and nutrient composition database

  • Shim, Jee-Seon;Lee, Jung-Sug;Kim, Ki Nam;Lee, Hyun Sook;Kim, Hye Young;Chang, Moon-Jeong
    • Nutrition Research and Practice
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    • v.11 no.6
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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.

Construction of the Guidelines for National Statistical Metadata (국가 통계표준 메타데이터 설계에 관한 연구)

  • Nam, Young-Joon
    • Journal of Information Management
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    • v.36 no.1
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    • pp.33-56
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    • 2005
  • This paper proposes some guidelines for Korean standards for statistical metadata to share on the Internet. The construction includes the minimum metadata set needed in the international standards based on the report and Korean Statistics Office. In result, 29 categories were selected from the SDMX and SDDS’consistency items and 14 categories from Dublin Core. Overall, 43 international statistics metadata was completed.

Management Strategy by Evaluation on Comprehensive Health Problem in the Community-dwelling Elderly of Korea (재가노인의 포괄적 건강문제 평가와 관리방안)

  • Lee, Jae-Chang;Kim, Eun-Kyung
    • Journal of Korean Academy of Nursing Administration
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    • v.12 no.3
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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.

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Current Status of Refractory Dissolved Organic Carbon in the Nakdong River Basin (낙동강유역 난분해성 용존 유기탄소 배출 현황 분석)

  • Lee, Jeonghoon;Kim, Jungsun;Lee, Jae Kwan;Kang, Limseok;Kim, Sangdan
    • Journal of Korean Society on Water Environment
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    • v.28 no.4
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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.

A class of accelerated sequential procedures with applications to estimation problems for some distributions useful in reliability theory

  • Joshi, Neeraj;Bapat, Sudeep R.;Shukla, Ashish Kumar
    • Communications for Statistical Applications and Methods
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    • v.28 no.5
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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.

Framework on Soil Quality Indicator Selection and Assessment for the Sustainable Soil Management (지속가능한 토양환경 관리를 위한 토양질 지표의 선정과 평가체계)

  • Ok, Yong-Sik;Yang, Jae-E.;Park, Yong-Ha;Jung, Yeong-Sang;Yoo, Kyung-Yoal;Park, Chol-Soo
    • Journal of Environmental Policy
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    • v.4 no.1
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    • pp.93-111
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    • 2005
  • Defining soil quality in scopes and applications is one of the prerequisite for the sustainable management of soil environment to orient researches, strategies and policies. However, definition of soil quality is controversial depending upon a viewpoint of soil science or soil environment. Soil quality can be, irrespective of the disciplines, defined as the capacity of a soil to function within ecosystem boundaries to sustain biological productivity, maintain environmental quality and promote plant and animal health. Common to all of the soil quality concepts can be summarized as the capacity of soil to function effectively at present and in the future. The OECD includes soil quality as one of the agri-environment indicators. This article intends to i) summarize the current soil quality research, and ii) provide information on protocol of soil quality assessment. A framework for soil quality was divided into three steps: indicator selection as minimum data set (MDS), scoring of the selected indicators, and integration of scores into soil quality index. Korean government suggested possible physical and chemical indicators such as bulk density and organic matter for paddy and upland soils to OECD. The framework of soil quality assessment is not yet implemented in Korea. Countries such as USA, Canada and New Zealand have constructed the framework on soil quality assessment and developed a user-friendly version of soil quality assessment tools to evaluate the integrated effects of various soil management practices. The protocol provided in this review might help policymakers, scientists, and administrators improve awareness about soil quality and understand the way of soil environment management.

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Clustering Algorithm for Data Mining using Posterior Probability-based Information Entropy (데이터마이닝을 위한 사후확률 정보엔트로피 기반 군집화알고리즘)

  • Park, In-Kyoo
    • Journal of Digital Convergence
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    • v.12 no.12
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    • pp.293-301
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    • 2014
  • In this paper, we propose a new measure based on the confidence of Bayesian posterior probability so as to reduce unimportant information in the clustering process. Because the performance of clustering is up to selecting the important degree of attributes within the databases, the concept of information entropy is added to posterior probability for attributes discernibility. Hence, The same value of attributes in the confidence of the proposed measure is considerably much less due to the natural logarithm. Therefore posterior probability-based clustering algorithm selects the minimum of attribute reducts and improves the efficiency of clustering. Analysis of the validation of the proposed algorithms compared with others shows their discernibility as well as ability of clustering to handle uncertainty with ACME categorical data.