• The Korean Journal of Community Living Science
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• v.21 no.2
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• pp.201-210
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• 2010

Over the past few decades, the proportion of elderly people in Korea has been rapidly increasing. In particular, rural areas are experiencing aging of communities more rapidly compared to urban areas. However, public policy for the elderly does not respond to the needs of rural elderly. To distribute health care resources equitably, it is necessary to gather reliable information on the health status of the elderly. The purpose of this study is to explore factors affecting Korean elderly people's ADL functional status. The data sources are from 2004 Elderly Living Condition Survey. The Analysis sample consists of 3,278 cases. Analysis results show that there is a significant residential variability in education, monthly stipend, living arrangement, subjective health status, regular food in-take, and regular exercise. Logistic regression analysis results also show that 'cognitive ability'(exp(B)=6.603), 'subjective health status'(exp(B)=4.576), 'age'(exp(B)=2.610), and 'living arrangement'(exp(B)=.589) are factors affecting ADLs. Namely, when a respondent's cognitive ability is limited, subjective health status is poor, or if their age is over 75, the probability of having a limited ADL has been 6.6 times, 4.6 times, and 2.6 times higher than otherwise. Among these variables, cognitive ability was the best explanation. In contrast, respondents who live with a spouse or adult children have a lower probability of having limited ADL compared with those who live alone. Considering that the most critical criteria in determining eligibility for social welfare services is ADLs, the development of appropriate ADL assessment tools is in an urgent need. Without the accurate assessment on ADLs, particularly on rural as well as the urban elderly, it seems to be hard to achieve effectiveness in the health care policy for the elderly.

• Korean Management Science Review
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• v.32 no.4
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• pp.193-207
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• 2015

Government-funded research institutes (GRIs) have played a pivotal role in national R&D in Korea. To achieve desired goals of GRIs with the limited R&D budget, their performance along with time needs to be measured and compared so that appropriate R&D policies can be formulated and implemented. This study measures the dynamic performance of GRIs from the efficiency perspective using the window model of data envelopment analysis (DEA). DEA is a non-parametric approach to measuring the relative efficiency of decision-making units (DMUs) with multiple inputs and outputs, and the DEA window model can capture the dynamic changes in efficiency of DMUs during multiple periods. The relative efficiency of GRIs is measured from the two perspectives: R&D and R&BD. Patents, papers, technology transfers are selected as outputs for R&D while compensated technology transfers and technology royalty are employed as outputs for R&BD. This study measures and compares the two types of performance of 20 Korean GRIs under the control of National Research Council of Science and Technology during the period of six years from 2008 to 2013. The results are expected to provide fruitful implications for national R&D policy making.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.1
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• pp.75-89
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• 2015

In recent years, attention to the high debt ratio in public institutions has pushed the government to make efforts in reducing the debt ratio. However, in order to stimulate the economy, the government needs drastically innovative measures that reduce debt by improving efficiency rather than moderate approaches that focus solely on debt reduction. Despite this need, no study has yet systematically analyzed the overall efficiency of domestic public institutions and identified the source of inefficiencies in each public entity. Therefore, largely two research questions are examined. First, this study compares the efficiency levels by types of public institutions. Second, this study identifies the cause of inefficiencies in each public institution and proposes directions for improving efficiency. Based on a 5-year data of 302 public institutions published in public business information systems and organizational websites from 2009 to 2013, Data Envelopment Analysis (DEA) was performed. The input variables include the number of employees and total costs while the output variables include sales and net income. Reflecting the characteristics of public institutions, the input-oriented CCR model and input-oriented BCC model were utilized. Analysis results are as follows. First, market-oriented public institutions showed the highest efficiency while fund management quasi-governmental agencies showed the highest inefficiency. Second, scale efficiency score was measured by applying the CCR model and the BCC model on the organizations with the lowest efficiency level, fund management quasi-governmental agencies. Based on these analysis results, the source of inefficiency and detailed directions for improvement were proposed for Decision Making Units (DMUs) with low CCR and BCC scores.

• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.21-26
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• 2018

In this study, HRD-NET (http://hrd.go.kr), a vocational and training integrated computer network operated by the Ministry of Employment and Labor, is used to confirm whether job training information required by job seekers is being provided smoothly The question bulletin board was extracted using 'R' program which is optimized for big data technique. Therefore, the effectiveness, appropriateness, visualization, frequency analysis and association analysis of the vocational training system were conducted through this, The results of the study are as follows. First, the issue of vocational training card, video viewing, certificate issue, registration error, Second, management and processing procedures of learning cards for tomorrow 's learning cards are complicated and difficult. In addition, it was analyzed that the training cost system and the refund structure differentiated according to the training occupation, the process, and the training institution in the course of the training. Based on this paper, we will study not only the training system of the Ministry of Employment and Labor but also the improvement of the various training computer system of the government department through the analysis of big data.

• The KIPS Transactions:PartD
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• v.18D no.6
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• pp.433-442
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• 2011

As software is varied and grew in size, the importance of clear understanding and representing customer's need, has been emphasized. It is not easy to drive and define critical system needs, since requirements in early stage of the development, is and conceptual. Technical perspective view, Several theoretical analysis methods and validation techniques are introduced, but in practice, it is hard to drive clear customer's requirement. In this paper, to drive clear customer's requirements, Macrostruktur concept of textlinguistics is used. First, Macrostruktur of textlinguistics is used to analysis descriptive requirements. Second, Macrostruktur-rule is applied to analyzed Macrostruktur data in order to derive Macrostruktur-propositions. Finally, it is proposed to generating Use-case model using derived Macrostruktur-propositions.

• Health Policy and Management
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• v.30 no.1
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• pp.26-36
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• 2020

Background: The purpose of this study was to analyze the relationship between the regional characteristics and the age-adjusted cardio-cerebrovascular disease mortality rates (SCDMR) in 229 si·gun·gu administrative regions. Methods: SCDMR of man and woman was used as a dependent variable using the statistical data of death cause in 2017. As a representative index of regional characteristics, health behavior factors, socio-demographic and economic factors, physical environment factors, and health care factors were selected as independent variables. Ordinary least square (OLS) regression and geographically weighted regression (GWR) were performed to identify their relationship. Results: OLS analysis showed significant factors affecting the mortality rates of cardio-cerebrovascular disease as follows: high-risk drinking rates, the ratio of elderly living alone, financial independence, and walking practice rates. GWR analysis showed that the regression coefficients were varied by regions and the influence directions of the independent variables on the dependent variable were mixed. GWR showed higher adjusted R² and Akaike information criterion values than those of OLS. Conclusion: If there is a spatial heterogeneity problem as Korea, it is appropriate to use the GWR model to estimate the influence of regional characteristics. Therefore, results using the GWR model suggest that it needs to establish customized health policies and projects for each region considering the socio-economic characteristics of each region.

• Journal of Digital Convergence
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• v.14 no.6
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• pp.263-270
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• 2016

In this study, it was attempted to develop a grade-customized statistical analysis system that can be operated by a teacher without professional knowledge of statistics by utilizing profiling in the education sector. For this, with the convergence of techniques of profiling into the education sector, it examined the elements necessary for building a customized student multidimensional analysis system. Referring to the overall configuration and the current state to build multidimensional analysis system utilizing practical profiling, it showed the implementation result of the algorithm applied to each statistical method, and presented the differences and superiority to existing systems. Once the system based on the proposed techniques is built, considering differences of students' needs and abilities and clarifying precise objectives and standards, with the improvement of satisfaction in public education, it is possible not only to reduce expense of prior and private learning but also realize self-directed learning suitable to one's learning ability and aptitude.

• Journal of the Korea Society for Simulation
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• v.24 no.4
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• pp.137-151
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• 2015

This study undertakes a simulation analysis for evaluating the benefits and costs of smart grid hub project. The purpose of the study is to explore extensively the alternatives for infrastructure configurations and identify the best scenarios that can satisfy all the stakeholder needs. We consider 19 parameters for configurating a smart grid hub city, and take a strategy of exhaustive search to find configurations that meet the two criteria simultaneously: each stakeholder's B/C ratio should be equally distributed and the B/C ratio of the entire city should be maximized. The results offer some meaningful implications for building a successful deployment strategy that can facilitate the diffusion of smart grid technologies.

• Journal of Korean Academy of Nursing
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• v.50 no.4
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• pp.513-522
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• 2020

Purpose: This study aimed to utilize concept analysis to obtain a better understanding of the concept of "continuity of care" in chronic diseases. Methods: The concept of continuity of care was analyzed using the Walker and Avant method. Covering literature in English from 1930 to 2018, the data sources included CINAHL Complete, Academic Search Complete, MEDLINE, PsyARTICLES, Health Source: Nursing/Academic Edition, Google Scholar, Science Direct, and the Cochrane Library. Results: A comprehensive definition of concept of continuity of care was developed based on a systematic search and synthesis. The key defining attributes were identified as (a) care over time, (b) the relationship between an individual patient and a care team, (c) information transfer, (d) coordination, and (e) meeting changing needs. The antecedents of continuity of care were having a chronic disease, inexperienced with disease management, a poorly coordinated healthcare system, and medical care limitations. The consequences of continuity of care were decreasing hospital admissions, reducing costs, reducing emergency room visits, improving the quality of life, improving patient satisfaction, and delivering good healthcare. Conclusion: The thorough concept analysis provides insight into the nature of "continuity of care" in chronic diseases and also helps ground the concept in healthcare.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.2
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• pp.123-130
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• 2013

As size of genomic data is increasing rapidly, the needs for high-performance computing system to process and store genomic data is also increasing. In this paper, we captured I/O trace of a system which analyzed 500 million sequence reads data in Genome analysis pipeline for 86 hours. The workload created 630 file with size of 1031.7 Gbyte and deleted 535 file with size of 91.4 GByte. What is interesting in this workload is that 80% of all accesses are from only two files among 654 files in the system. Size of read and write request in the workload was larger than 512 KByte and 1 Mbyte, respectively. Majority of read write operations show random and sequential patterns, respectively. Throughput and bandwidth observed in each processing phase was different from each other.