• 한국병원경영학회지
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• 제29권2호
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• pp.37-47
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• 2024

Purpose: This study aimed to determine the effect of adjusted out-of-pocket maximum rules in the 'differential co-payment ceiling', which means having a higher burden of co-payment, that expanded to the entire ceiling level in long-stay admission patients in long-term care hospitals(LTCH). Methodology: We used health insurance claim data between January 1, 2022, and December 31, 2022 received from the National Health Insurance Service. The study populations were inpatients in long-term care hospitals more than 1 days during the study period. We performed the difference in characteristics of the LTCH patient of the differential and general ceiling by the chi-square test. We estimated the change of the population, cost, and co-payments per person under the assumption of restructuring. Finding: Based on adjusted out-of-pocket maximum rules in 2023, it was expected that the number of benefits decreases at the high-income level while increasing at the low-income level. The burden of health expenditure after reimbursement of co-payment ceiling, is expected to increase by 65.1% in the highest medical necessity, whereas the low medical necessity would decreases compared to 2022. Practical Implications: The results demonstrate that the current out-of-pocket maximum rules do not reflect the needs of medical necessity. This study suggested the need to reflect the medical necessity in LTCH on the out-of-pocket maximum rules in the future.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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• pp.601-606
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• 1998

In this paper, we propose a new design method of an optimal fuzzy logic controller using co-evolutionary concept. In general, it is very difficult to find optimal fuzzy rules by experience when the input and/or output variables are going to increase. Futhermore proper fuzzy partitioning is not deterministic ad there is no unique solution. So we propose a co-evolutionary method finding optimal fuzzy rules and proper fuzzy membership functions at the same time. Predator-Prey co-evolution and symbiotic co-evolution algorithms, typical approaching methods to co-evolution, are reviewed, and dynamic fitness landscape associated with co-evolution is explained. Our algorithm is that after constructing two population groups made up of rule base and membership function, by co-evolving these two populations, we find optimal fuzzy logic controller. By applying the propose method to a path planning problem of autonomous mobile robots when moving objects applying the proposed method to a pa h planning problem of autonomous mobile robots when moving objects exist, we show the validity of the proposed method.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.161-164
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• 2005

Data mining techniques can be applied to identify patterns of interest in the gene expression data. One goal in mining gene expression data is to determine how the expression of any particular gene might affect the expression of other genes. To find relationships between different genes, association rules have been applied to gene expression data set [1]. A notable limitation of association rule mining method is that only the association in a single profile experiment can be detected. It cannot be used to find rules across different condition profiles or different time point profile experiments. However, with the appearance of time-series microarray data, it became possible to analyze the temporal relationship between genes. In this paper, we analyze the time-series microarray gene expression data to extract the sequential patterns which are similar to the association rules between genes among different time points in the yeast cell cycle. The sequential patterns found in our work can catch the associations between different genes which express or repress at diverse time points. We have applied sequential pattern mining method to time-series microarray gene expression data and discovered a number of sequential patterns from two groups of genes (test, control) and more sequential patterns have been discovered from test group (same CO term group) than from the control group (different GO term group). This result can be a support for the potential of sequential patterns which is capable of catching the biologically meaningful association between genes.

• 대한교통학회지
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• 제11권2호
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• pp.5-26
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• 1993

In order to analyze travel mode choice behavior, behavioral models including logit model, based on revealed preference theory, have been using easily measurable variables such as individual socioeconomic characteristics and physical attributes of travel modes. But some recent attitudinal models of travel choice behavior have implied that the negligence of individual psychological variables and individual choice constraints in travel mode choice might preclude better prediction of individual travel mode choice behavior. In this context, this study was attempted to reconstruct an attitudinal model(AM), especially focused on the decision rules in travel mode choice decision making process, consistent with the conceptual framework relating individual attitude and choice constraints to choice behavior. And to evaluate the strengths of the AM to other comparative models(logit, linear-additive, conjunctive, lexicographic model) in predicting travel mode choice bebavior, an empirical study of the mode choice in work-trip to CBD in Seoul was performed. According to the results the percent of correct prediction(PCP) derived from the AM was higher than those derived from comparative models by at least 7 to 20% in predicting travel mode choice. But each model produced a different prediction accuracy depending on market segmentation by travel modal users, individual socioeconomic characteristics, transportation system characteristics, and satisfaction levels. The finding that different groups divided by a certain criterion employ different decision rules supports the necessity of developing a choice model such as the AM combining compensatory and noncompensatory decision rules, and suggests that a proposed transportation system management plan or policy may have different effects on each group.

• 한국지능시스템학회논문지
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• 제19권2호
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• pp.285-290
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• 2009

데이터에 숨겨진 패턴을 탐색하는 데이터마이닝에서 가장 많은 연구가 이루어진 분야가 연관규칙 마이닝이다. 연관규칙 마이닝에서는 방대한 수의 트랜잭션 데이터를 다루게 되므로 고속처리 방식의 실현이 중요한 과제가 되고 있다. 그리고 연관규칙 탐사기법에서 규칙을 도출하는데 소요되는 시간은 데이터에 포함되어 있는 항목의 수에 비례하여 기하급수적으로 늘어나기 때문에 규칙의 수를 줄이는 과정이 필연적으로 요구된다. 본 논문에서는 트랜잭션 데이터 항목들을 이진형식으로 비교하여 연관성 규칙의 수를 효과적으로 감축할 수 있고 항목간의 지지도와 신뢰도를 함께 향상 시킬 수 있는 T-알고리즘을 제안하고 시뮬래이션을 통하여 확인하였다.

• 정보화연구
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• 제10권1호
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• pp.71-77
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• 2013

XML 스키마 매칭은 두 스키마의 엘리먼트들 간의 의미적인 유사성을 찾는 작업이다. XML 스키마 매칭은 스키마 통합, 데이터 통합, 데이터 웨어하우징, 데이터 변환, P2P 데이터 관리, 시멘틱 웹 등과 같은 응용체계에서 중요한 역할을 한다. 본 논문은 룰과 구조적 속성에 기반한 XML 엘리먼트 매칭 알고리즘을 제안한다. 제안한 알고리즘에서는 먼저 XML 문서의 구조적 속성을 이용하여 엘리먼트들이 unique와 non-unique로 분류되며, 이후 룰에 따라 엘리먼트의 매칭여부를 결정한다. 제안 알고리즘의 효과성을 보이기 위해 인터넷에 공개된 XML 스키마를 이용하여 성능을 평가하였다. 또한 제안 알고리즘은 문서의 구조적 속성을 이용함으로써 사용자 주관성을 배제하고 객관성을 보장하며 특정 유형이 아닌 다양한 형태의 XML에 적용이 가능하다.

• Industrial Engineering and Management Systems
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• 제14권4호
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• pp.372-378
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• 2015

In labor-intensive enterprise, such as garment factory, assembly line is widely used as a manufacturing process for reducing costs and production time. However, for the sake of the various working capacity of worker, idle or delay may happen and influence the rear processes. If these unforeseeable delay happened continuously, it may influence the whole manufacturing process and a model, which is called limited-cycle model with multiple periods (LCMwMP), is assumed to evaluate the influence risk. In order to minimize the risk, the assignment of the workers is focused on. In this paper, we deal with an assembly line as LCMwMP model when two kinds of workers exist, whose efficiency is assumed to two different groups. We consider an optimization problem for finding an assignment of workers to the line that minimizes total expected risk, which is exchanged to expected cost by reset model of LCMwMP. First, reset model as a simple model of LCMwMP is introduced. Then, some hypotheses of the rules of the optimal worker assignment are proposed and some numerical experiments are researched assuming the processing time as Erlang distribution. Finally, the other rules on other certain conditions are discussed.

• 연구윤리
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• 제1권2호
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• pp.11-13
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• 2020

Purpose: The author wants to specify scope of research, identify without giving burden, prevent unfair identification of the author, admit of production of the outcome, enact rules of identification, and build up foundation of development. Also, this study defines scope of publication of outcome of research to prevent unfair identification of authors and admit of them. Research design, data and methodology: The study described literary research, standard research, phenomenon research, and empirical result without methodologies, statistical analysis and scientific test and investigated operation system of KODISA cases. Results: At publication of findings of the research, researchers shall identify the ones of production of the finding to allocate help of the research. Conclusions: Scientific journals shall be controlled to develop ability and to grow up and have a system. Researchers shall give direction of other scientific journals. The study made efforts to be a model. KODISA Edition Team shall make an effort to keep and develop. So far, no regulation of identification of authors has produced disturbance so terminologies should be uniformed. Researchers shall keep rules of identification of authors to uniform and regulate identification of authors, conditions of authors, and order and correspondent authors. KODISA enacted rules of identification of authors for the first time in Korea to develop science.

• 한국문헌정보학회지
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• 제19권
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• pp.113-149
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• 1990

The RAK has in general adopted the provisions of the paris principles to a far greater extent than many other cataloguing codes. And the analyses confirm that the determination of the main entries in German cataloging rules is a rather complex process and one which can result in inconsistent, arbitrary decisions. And the selection of the main entry requires a considerable amount of decision making which is time-consuming and costly. From the point of view of computers, all entries are equal as points of retrieval. In light of the above considerations the most important recommendation to be made is that the main entry principle be abandoned from cataloging theory and practice and be replaced by the title entry. It would eliminate the need for personal judgments required by the present rule. In so doing, it would bring uniformity and Standardization to cataloging practice. Use of the title entry would reduce the time and effort spent on the selection of the main entry which serves no important purpose in the catalog. Therefore title entry is more developed finding device than author entry in direct approach for document retrieval.

• 대한산업공학회지
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• 제39권1호
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• pp.10-19
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• 2013

Dispatching rule plays an important role in a hybrid flow shop. Finding the appropriate dispatching rule becomes more challenging when there are multiple criteria, uncertain demands, and dynamic manufacturing environment. Using a single dispatching rule for the whole shop or a set of rules based on a single criterion is not sufficient. Therefore, a multi-criteria decision making technique using 'the order preference by similarity to ideal solution' (TOPSIS) and 'analytic hierarchy process' (AHP) is presented. The proposed technique is aimed to find the most suitable set of dispatching rules under different manufacturing scenarios. A simulation based case study on a PCB manufacturing process is presented to illustrate the procedure and effectiveness of the proposed methodology.