• Korea Journal of Hospital Management
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• v.21 no.1
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• pp.43-50
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• 2016

The public medical centers are required to make efficient and profitable operation. The efficiency is usually measured by DEA(data envelopment analysis), and profitability is measured by medical income rate. But DEA is measured by relative, not absolute value. So, profitability rate is used alternatively for DEA. This study want to analyze the interchangeability between DEA ranking and medical income rate ranking among public medical centers. The return on total assets is same ranking with DEA on bed number, employee number and total asset, but 60-70% relationship with DEA on bed number and employee number, as input resources. The operating margin is similar ranking with DEA on bed number and employee number, but 50-60% relationship with DEA on bed number, employee number and total asset, as input resources.

• Journal of the Korean Society for information Management
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• v.18 no.2
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• pp.7-30
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• 2001

The characteristics of the short document representatives and short queries of OPAC systems need the different ranking algorithms from IR systems. This study tested and analyzed the effectiveness of four sorting schemes and four ranking algorithms and the six effectiveness measurements for the ranked Boolean OPAC systems. The sorting by publication year was better but without significant difference. The cover density ranking was significantly better than the frequency-based ranking of the Fuzzy or DNF models. The simple effectiveness measurement based on the average rank of relevant documents retrieved was as good as the others and better than the precision P.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.4
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• pp.863-877
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• 2013

The purpose of this study is to analyze clarify the relationship of transformational leadership of higher-ranking officers and work satisfaction of lower-ranking officers for the government employees in education administration. The main conclusions were as the followings. First, looking into the analysis result on the transformational leadership of higher-ranking officers, there is a noticeable difference for each position, grade 6 shows noticeably low difference than grade 8 and grade 9 in overall position, and for each service agency, the government employees in board of education show noticeably higher difference than the government employees in elementary schools on entire serve agencies. Second, looking into the analysis result on the work satisfaction of lower-ranking officers, for each position, grade 6 and grade 7 government employees show noticeably low difference than grade 8 and grade 9 in personnel territory and education and training territory, and for each service agency, government employees in the board of education show noticeably higher difference than the government employees in elementary and middle schools on agencies. And third, looking into the analysis result on the relationship of work satisfaction of lower-ranking officers and the transformational leadership of higher-ranking officers, the statistically noticeable level of static correlation has been shown for vision setting and growth-striving territory from the lower domain of the transformational leadership of higher-ranking officers in personnel, compensation, working environment and so forth, efficiency territory of operation, cohesion territory of department and charisma leadership territory in personnel domain, cohesion territory of department in personnel domain, human respect territory in duty, personnel, and compensation domain.

• The Korean Journal of Applied Statistics
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• v.27 no.2
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• pp.185-195
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• 2014

Ranking-based conjoint analysis is widely used in various fields such as marketing research. While the ranking-based conjoint affords several advantages over the rating-based or choice-based conjoint, it has a serious shortcoming that respondents have much difficulty in ranking the product profiles in order of preference when many profiles are involved. This article suggests a new method for the preference measurement to improve the response efficiency. The method employs the concept of ranking sets that let the respondent evaluate a small number of profiles at a time. Through the proposed method, preference rankings of profiles obtained from each ranking set are aggregated to generate overall rankings. The balanced incomplete block design is expanded and transformed to the dual design in order to construct well-balanced ranking sets that can accommodate a large number of profiles. The proposed method is applied to the analysis of consumer preferences for perfume-for-women.

• Journal of Information Processing Systems
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• v.9 no.2
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• pp.217-236
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• 2013

Ranking thousands of web documents so that they are matched in response to a user query is really a challenging task. For this purpose, search engines use different ranking mechanisms on apparently related resultant web documents to decide the order in which documents should be displayed. Existing ranking mechanisms decide on the order of a web page based on the amount and popularity of the links pointed to and emerging from it. Sometime search engines result in placing less relevant documents in the top positions in response to a user query. There is a strong need to improve the ranking strategy. In this paper, a novel ranking mechanism is being proposed to rank the web documents that consider both the HTML structure of a page and the contextual senses of keywords that are present within it and its back-links. The approach has been tested on data sets of URLs and on their back-links in relation to different topics. The experimental result shows that the overall search results, in response to user queries, are improved. The ordering of the links that have been obtained is compared with the ordering that has been done by using the page rank score. The results obtained thereafter shows that the proposed mechanism contextually puts more related web pages in the top order, as compared to the page rank score.

• The KIPS Transactions:PartD
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• v.18D no.2
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• pp.101-110
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• 2011

According to the increasing use of blogs, a huge number of posts have appeared in a blogosphere. This causes web surfers to face difficulty in finding the quality posts in their search results. As a result, post ranking algorithms are required to help web serfers to effectively search for quality posts. Although there have been various algorithms proposed for web-page ranking, they are not directly applicable to post ranking since posts have their unique features different from those of web pages. In this paper, we propose post ranking algorithms that exploit actions performed by bloggers. We also evaluate the effectiveness of post ranking algorithms by performing extensive experiments using real-world blog data.

• Journal of Engineering Education Research
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• v.18 no.2
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• pp.8-13
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• 2015

This paper deals with the formation and development of hierarchical ranking stmcture among universities in Korea and the nature of university education. As the growing number of university graduates have trouble with finding job opportunity, the development of skills and competency which are required for the labor market is becoming the most important role for universities. Finally, I proposed several policy suggestions to overcome negative aspect of hierarchical ranking structure of university.

• Proceedings of the Korean Radioactive Waste Society Conference
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• 2004.06a
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• pp.188-188
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• 2004

In the present study, a multicriteria decision-making (MCDM) problem of ranking of important radionuclide release scenarios in a low and intermediate radioactive waste repository is to treat on the basis of non-additive fuzzy measures and fuzzy integral theory. Ranking of important scenarios can lead to the provision of more effective safety measure in a design stage of the repository. The ranking is determined by a relative degree of appropriateness of scenario alternatives.(omitted)

• Proceedings of the Korean Statistical Society Conference
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• 2004.11a
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• pp.229-236
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• 2004

This article presents a multiple comparison ranking procedure for several products of the Poisson rates. A preference probability matrix that warrants the optimal comparison ranking is introduced. Using a Bayesian Monte Carlo method, we develop simulation-based procedure to estimate the matrix and obtain the optimal ranking via a row-sum scores method. Necessary theory and two illustrative examples are provided.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.73-75
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• 2001

데이터베이스에서 질의의 결과로 되돌려지는 레코드의 수가 많을 때, 이를 일정 개수의 레코드 단위로 구분하여 일부만 돌려주는 응용이 많다. 추가의 결과를 요청할 경우, 이를 수행하기 위해 기존에는 다시 동일한 질의를 수행한 후 필요한 레코드 위치까지 순차적으로 접근을 하는 방식을 썼다. 본 논문에서는 인덱스가 정의된 필드를 기준으로 정렬된 결과 집합에서 효율적으로 순위 탐색을 지원하기 위한 Ranking-tree 인덱스 구조를 제안한다. 순위 탐색은 어떤 기준에 의해 정렬된 결과 레코드에서 N번째 순서에 해당하는 레코드부터 탐색하는 것을 말한다. Ranking-tree를 통해 불필요한 질의 결과 탐색 시간을 줄여 성능 향상을 가져올 수 있다.