• 품질경영학회지
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• 제31권4호
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• pp.150-163
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• 2003

The purpose of this paper is to propose an interactive method using the concept of Signal­to­Noise (SN) ratios and cutting ranges for selecting the most preferred alternatives of Multiple­attribute Decision­Making(MADM) with the­smaller­the­better or the­larger­the­better characteristics. In this method the decision makers could make a grouping of attributes by their priorities. This research is based on the assumption of an equality between the attributes of MADM with the characteristics of Taguchi method. As a result, this interactive method could transform the characteristic value of Taguchi method into the size of SN ratios which are relatively easy to understand by decision makers.

• 한국가구학회지
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• 제17권2호
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• pp.1-7
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• 2006

A chinese wood species called China Hongmu, is an excellent wood to make high quality furniture owing to attracting color, beautiful grain, and durability. Hongmu is not a tree or wood species name. The general designation in Hongmu group is a similar to one of its density, structure, color and use. Hongmu considers more than 30 hardwood species of Pterocarpus, Dalbergia, Diospyros, Millettia, and Cassia. According to the macrostructural characteristics and properties, Hongmu group can be classified into 8 groups which are Zitanmulei, Hualimulei, Heisuanzhimulei, Hongsuanzhimulei, Xiangzhimulei, Wumulei, Tiaowenwumulei and Jichimulei. In this paper, the growing areas, scientific names and identifiable characteristics of these Hongmu group species were introduced for help to identify China Hongmu and its products in the market as well.

• 기술혁신연구
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• 제6권2호
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• pp.54-79
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• 1998

Entering the 1990s, Korean economies experienced the high-cost and low-efficiency situation which evetually caused many Korean firms led to relocate their production facilities to lower labor cost countries. This paper aims to draw out the characteristics of FDI and to evaluate the impacts of FDI in manufacturing sectors. Firstly, we try to categorize the indutries into three groups, labor intensive, capital intensive, and the technology intensive industries figuring out the characteristics of FDI of Korean firms. Secondly, we compare the three categories by grouping high and low foreign investment areas using value added data. Thirdly, we analyse the impacts of foreign production relocation the number of firms, production volume and jobs creation in Korea during the period 1991-1996. This paper concludes that the FDI of Korean firms concentrates to labor intensive industry and the hollowing effect caused by FDI was observed partially in the labor intensive industry.

• 한국공간구조학회:학술대회논문집
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• 한국공간구조학회 2006년도 춘계 학술발표회 논문집 제3권1호(통권3호)
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• pp.110-117
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• 2006

This study presents an effective stiffness-based optimal technique to consider floor rigid diaphragm action and a technique to evaluate the structural behavior characteristics and efficiency for tall shear wall outrigger system subject to horizontal loads. To this end, isoparametric plane stress element with rotational stiffness is used for shear wall element and stiffness gradient is calculated. Also, the approximation concept to solve effectively the large scaled problems, member grouping technique and resizing technique are considered. To verify the effectiveness and usefulness of this technique, the efficient evaluation method for three types of 50 story model with core and outrigger system is presented.

• 한국전자거래학회지
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• 제17권1호
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• pp.91-110
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• 2012

최근 유통업체의 운영 효율화를 위한 IT 활용 노력이 증대되고 있다. 이 가운데 유통매장 내 고객 흐름에 대한 분석은, 매대 배치와 상품 그룹핑의 최적화 및 매대별, 지역고객 특성별 서비스 개발에 있어서 핵심적인 부분이다. 에이전트 기반 모델링 및 시뮬레이션(ABMS)은 유통매장 내 고객 흐름을 분석하는데 가장 유망한 방법 중 하나이다. 본 논문에서는 고객 흐름 분석 기반의 유통매장운영 최적화를 위한 ABMS의 기초 연구로서 고객들의 행동을 분석하여 모델링하고 시뮬레이션 하였다. 고객 행동 모델링을 위하여 구매 물품 리스트에 따른 실제 고객의 행동 특성을 조사하였고, 이를 바탕으로 BDI 기반의 고객 에이전트 모델을 제시하였다. 고객 모델은 BDI 이론의 구성요소인 믿음(Beliefs), 소망(Desires), 그리고 의도(Intentions)와 고객의 특성(Characteristics)을 포함하고 있다. 본 연구 결과는, 향후 매장 내 혼잡도 분석을 위한 모델링 및 시뮬레이션, 그리고 이를 바탕으로 한 상품 그룹핑 및 매대 배치 최적화에 활용될 수 있을 것이다.

• 부모자녀건강학회지
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• 제16권1호
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• pp.1-10
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• 2013

Purpose: This study is descriptive research to identify characteristics and childbirth experience of women who selected delivery with midwives. Methods: The research methods included structured questionnaires, open questions and charts and data were collected from March 2009 to May 2010 at one midwifery clinic. The 108 data of primipara and multipara were analyzed using descriptive statistics and grouping in same meaning. Results: The general characteristics of participants were age of 31~35, housewife, college or university graduate, religion 'yes', and economic state 'middle'. The obstetric characteristics of participants were abortion rate of 23.1%, none complication to pregnancy and delivery of 97.2%, and none postpartum complication. This study was analyzed using positive experiences of 3 categories, that is 'comfortable and natural childbirth', 'satisfaction and trust to personal care of midwives', and 'experience of baby-and-family-centered childbirth' and negative experiences of 3 categories, that is 'improvement of healthcare environment', 'insufficient facilities and nursing care', and'burden of cost'. Conclusion: This study is significant, since it investigates in the absence of domestic research on the characteristics of women who delivered at midwifery clinic. Thus, this study provided basic data on the characteristics of women who delivered at midwifery clinic.

• 한국의류학회지
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• 제25권6호
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• pp.1091-1099
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• 2001

Evaluation on jean products were varied although they were the identical jeans. Therefore, we could confirm the bias by price. brand, and store when consumer evaluating jean products. The various consumer characteristics also provided effects evaluation on jean products. An evaluation on jean products is very subjective and the degrees depending on these three cues could be varied by consumer's characteristics. For empirical study, experiments by the subjects among students of ewha womans university were done by using jeans as stimulus. Data was collected by a questionnaire made up by a researcher based on the theoretical and pretest. Data was analyzed by ANOVA, factor analysis, grouping analysis, F-test, and etc. 571 data were analysed out of the 600 data. Cues such as price, brand, and store affected significantly the evaluation of jeans. The most important cue of all three was store, then price, and then brand. These three cues affected the evaluation of jean products separately and together. The result of the study was that the consumers characteristics mediated the effects of extrinsic cues like price, brand, and store on jean products evaluation. Consumer's characteristics like prior knowledge and shopping orientation mediated the effects of price, and store cue on jean products evaluation.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2003년도 학술발표논문집
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• pp.163-166
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• 2003

In this study, a grouping of particle-size distributions(PSDs) by means of the fuzzy c-means clustering method(FCM) was presented. The classification was performed with the whole and the major soil series representing pedological origin. In case of the major soil series, PSDs were clustered as $2{\sim}4$ groups and the characteristics of clustering results were quite different between the soil series. It was found that the characteristics of PSDs at center of each class can be explained by formation process of each soil series. In case of whole soil data, PSDs were classified to 8 classes in which 4 classes were single mode and 4 classes were bimode distributions. Through this study, it is concluded that pedogenetic process is a plausible explanation for grain size distribution of soils.

• 설비공학논문집
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• 제21권10호
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• pp.553-558
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• 2009

Energy demand characteristics of hotel, hospital, and office building are compared to provide guidelines for combining building in community energy system design. The annual, monthly, and daily energy demand patterns for electricity, heating, hot water and cooling are qualitatively compared and important features are delineated based on the energy demand models. Key statistical values such as the mean, the maximum are also provided. Important features of the hourly demand patterns are summarized for weekdays and weekends. Substantial variations in both magnitudes and patterns are observed among the 3 building types and smart grouping or combination of building type and size is essential for a successive energy supply.

• Journal of Korean Society for Atmospheric Environment
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• 제18권E3호
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• pp.175-180
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• 2002

In order to study the distribution characteristics of natural volatile organic compounds (NVOCs), we investigated the seasonal variations of $\alpha$-and $\beta$-pinene levels in a pine forest in Florida for a you. The mean concentrations of $\alpha$- and $\beta$-pinene measured during the whole study period were computed to be 125: 86 (N = 65) and 86$\pm$52 pptv (N = 56), respectively. According to our data grouping scheme, the seasonal means for both pinones were observed to peak during fall with their max and min values in summer and winter, respectively. The overall results of our study suggest that terpenes are subject to highly strong temporal variability because of changes in their major source characteristics across seasons.