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The Clothing Selection Criteria according to Consumers' Eco-friendly Attitude and Demographic Characteristics (소비자의 친환경 태도 및 인구통계적 특성에 따른 의복선택 기준의 특징)

  • Park, Younghee
    • Journal of the Korea Fashion and Costume Design Association
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    • v.18 no.1
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    • pp.11-22
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    • 2016
  • The purpose of this study was to analyze the statistical differences and the correlation between eco-friendly attitudes and clothing selection criteria according to gender and age. 150 people in their 20s to 50s were surveyed for this study. The results were as follows. The factors to eco-friendly attitudes were drawn as seven factors. The difference analysis result for eco-friendly attitude according to gender and age showed a significant difference. The results of factor analysis showed that there were four factors in clothing selection criteria. The difference analysis result of clothing selection criteria according to gender showed a significant difference. The analysis results for the effect of eco-friendly attitude on clothing selection criteria showed that the eco-friendly group recognized health and eco-friendly property as more important clothing selection criteria, but the non-eco-friendly group recognized aesthetic as more important one. The result of this study will help product planners in the clothing product development and the market segmentation according to eco-friendly attitude.

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Effects of Self-Esteem and Body Satisfaction of Middle-Aged Women on their Clothing Satisfaction and Clothing Selection Criteria (중년 여성 소비자의 자아존중감과 신체만족도가 의복 만족도와 의복선택기준에 미치는 영향)

  • Chung, Sung Jee
    • Fashion & Textile Research Journal
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    • v.15 no.1
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    • pp.84-94
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    • 2013
  • The study analyzes the effects of self-esteem on body satisfaction, clothing satisfaction, and clothing selection criteria, the effects of body satisfaction on clothing satisfaction and clothing selection criteria, and the effects of clothing selection criteria on clothing satisfaction. The questionnaire developed by the researcher was distributed to 160 women between 40 and 65 years of age in Seoul or Gyeonggi-do. One hundred fifty one questionnaires were used in the final analysis. The data were analyzed by common factor analysis, multiple linear regression, t-test, ANOVA, and Tukey's test using SPSS 18.0/Windows. The results demonstrate that clothing selection criteria is classified into design, quality, practicality, and economics. There was a significant effect of self-esteem on body satisfaction, and significant effects of body satisfaction on clothing satisfaction and on factors of design, quality, economics in clothing selection criteria. Factors such as design, practicality, and economics contributed to clothing satisfaction. Significant differences were found in self-esteem between age groups as well as self-esteem and body satisfaction among groups according to education level and monthly income.

Band Selection Using Forward Feature Selection Algorithm for Citrus Huanglongbing Disease Detection

  • Katti, Anurag R.;Lee, W.S.;Ehsani, R.;Yang, C.
    • Journal of Biosystems Engineering
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    • v.40 no.4
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    • pp.417-427
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    • 2015
  • Purpose: This study investigated different band selection methods to classify spectrally similar data - obtained from aerial images of healthy citrus canopies and citrus greening disease (Huanglongbing or HLB) infected canopies - using small differences without unmixing endmember components and therefore without the need for an endmember library. However, large number of hyperspectral bands has high redundancy which had to be reduced through band selection. The objective, therefore, was to first select the best set of bands and then detect citrus Huanglongbing infected canopies using these bands in aerial hyperspectral images. Methods: The forward feature selection algorithm (FFSA) was chosen for band selection. The selected bands were used for identifying HLB infected pixels using various classifiers such as K nearest neighbor (KNN), support vector machine (SVM), naïve Bayesian classifier (NBC), and generalized local discriminant bases (LDB). All bands were also utilized to compare results. Results: It was determined that a few well-chosen bands yielded much better results than when all bands were chosen, and brought the classification results on par with standard hyperspectral classification techniques such as spectral angle mapper (SAM) and mixture tuned matched filtering (MTMF). Median detection accuracies ranged from 66-80%, which showed great potential toward rapid detection of the disease. Conclusions: Among the methods investigated, a support vector machine classifier combined with the forward feature selection algorithm yielded the best results.

Improving R&D Project Selection and Evaluation Methods of the Steel Company

  • Chung, Ki-Dae;Jung, Kyung-Hee
    • Journal of Korea Technology Innovation Society
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    • v.1 no.1
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    • pp.117-124
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    • 1998
  • Corporations are pursuing maximum returns from their R&D investment. They are also interested in sound measures to quantify returns. In fact, they use various measures and criteria for measuring returns from the R&D investment. But the fundamental problem is that there is no generic and widely acceptable measures and criteria. To make things more complicated, measures are very powerful and influential to the people in the corporations. Herbert Simon already indicated that people do many things but people usually do their best for the only tasks which are measured. Many researchers, like Chester(1995), are interested in R&D productivity measures and risks because what the company measures really influence R&D people and output. This article present design concepts of the R&D project selection and evaluation system in POSCO(Pohang Iron & Steel Company). This is an output extract from the 6-month joint activities with POSRI(POSCO Research Institute) researchers and POSCO R&D personnel. Process changes, new organizations and new selection and evaluation criteria are developed to improve R&D performance and to enhance technology management of the POSCO. This article covers new selection and evaluation criteria only. We would like to share our experience about how we redesign the selection and evaluation of R&D projects. We also bring insights how we seamlessly integrate 4 different project selection and evaluation steps as a whole. We hope that this case will give you a clue to improve your R&D management.

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Application of Tracking Signal to the Markowitz Portfolio Selection Model to Improve Stock Selection Ability by Overcoming Estimation Error (추적 신호를 적용한 마코위츠 포트폴리오 선정 모형의 종목 선정 능력 향상에 관한 연구)

  • Kim, Younghyun;Kim, Hongseon;Kim, Seongmoon
    • Journal of the Korean Operations Research and Management Science Society
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    • v.41 no.3
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    • pp.1-21
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    • 2016
  • The Markowitz portfolio selection model uses estimators to deduce input parameters. However, the estimation errors of input parameters negatively influence the performance of portfolios. Therefore, this model cannot be reliably applied to real-world investments. To overcome this problem, we suggest an algorithm that can exclude stocks with large estimation error from the portfolio by applying a tracking signal to the Markowitz portfolio selection model. By calculating the tracking signal of each stock, we can monitor whether unexpected departures occur on the outcomes of the forecasts on rate of returns. Thereafter, unreliable stocks are removed. By using this approach, portfolios can comprise relatively reliable stocks that have comparatively small estimation errors. To evaluate the performance of the proposed approach, a 10-year investment experiment was conducted using historical stock returns data from 6 different stock markets around the world. Performance was assessed and compared by the Markowitz portfolio selection model with additional constraints and other benchmarks such as minimum variance portfolio and the index of each stock market. Results showed that a portfolio using the proposed approach exhibited a better Sharpe ratio and rate of return than other benchmarks.

A Study on University Students' the Values of Marriage and Partner Selection Criteria according to their Parent-Child Relationship (대학생이 인식한 부모-자녀관계 특성에 따른 결혼가치관 및 배우자 선택조건)

  • Kim, Jin-Hee
    • Korean Journal of Human Ecology
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    • v.23 no.3
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    • pp.395-408
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    • 2014
  • The purpose of this study was to identify the effects of parent-child relationship perceived by university students on value of marriage and partner selection criteria. Questionnaires were distributed to 467 university students with questions covering topics including general personal information and characteristics, parent-child relationship, value of marriage and partner selection criteria. To analysis the data, t-test, ANOVA, and two step cluster analysis was used. The female group A with passive parent-child relationship had high level of negative value of marriage, male group D with active parent-child relationship had high level of romantic and instrumental value of marriage. The male and female passive group considered external condition as a partner selection criteria more than male and female active group does. As a partner selection criteria, passive male group recognized internal condition more than passive and active female group does. and active female group recognized situational condition more than passive male group does. This study reveals that university students' parent-child relationship does have an effect on their value of marriage and partner selection criteria. It is therefore proposed that diversify objectives and education content of family life education should relate not only to individuals' value of marriage but also to their parent-child relationship.

Strategic Selection and Management of Suppliers, and Allocation of Order Quantity for Supply Chain Management in Automotive Parts Manufacturers (자동차부품산업에서 공급사슬경영을 위한 공급자 선정.관리 및 주문량 배분에 관한 연구)

  • Jang, Gil-Sang;Kim, Jae-Kyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.3
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    • pp.142-158
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    • 2009
  • The supplier selection problem is perhaps the most important component of the purchasing function. Some of the common and influential criteria in the selection of a supplier include quality, price, delivery, and service. These evaluation criteria often conflict, however, and it is frequently impossible to find a supplier that excels in all areas. In addition, some of the criteria are quantitative and some are qualitative. Thus, a methodology is needed that can capture both subjective and objective evaluation measures. The Analytic Hierarchy Process(AHP) is a decision-making method for ranking alternative courses of action when multiple criteria must be considered. This paper proposes the AHP-based approach which can structure the supplier selection process and the achievements-based procedure which can allocate order quantities for the selected suppliers In automotive part manufacturers. Also, through the practical case of 'D' automotive part manufacturing company, we shows that the proposed AHP based supplier selection approach and the achievements-based allocation procedure of order quantity can be successfully applied for supplier selection and order quantity allocation problems.

Effect of Cooperative and Selection Relaying Schemes on Multiuser Diversity in Downlink Cellular Systems with Relays

  • Kang, Min-Suk;Jung, Bang-Chul;Sung, Dan-Keun
    • Journal of Communications and Networks
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    • v.10 no.2
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    • pp.175-185
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    • 2008
  • In this paper, we investigate the effect of cooperative and selection relaying schemes on multiuser diversity in downlink cellular systems with fixed relay stations (RSs). Each mobile station (MS) is either directly connected to a base station (BS) and/or connected to a relay station. We first derive closed-form solutions or upper-bound of the ergodic and outage capacities of four different downlink data relaying schemes: A direct scheme, a relay scheme, a selection scheme, and a cooperative scheme. The selection scheme selects the best access link between the BS and an MS. For all schemes, the capacity of the BS-RS link is assumed to be always larger than that of RS-MS link. Half-duplex channel use and repetition based relaying schemes are assumed for relaying operations. We also analyze the system capacity in a multiuser diversity environment in which a maximum signal-to-noise ratio (SNR) scheduler is used at a base station. The result shows that the selection scheme outperforms the other three schemes in terms of link ergodic capacity, link outage capacity, and system ergodic capacity. Furthermore, our results show that cooperative and selection diversity techniques limit the performance gain that could have been achieved by the multiuser diversity technique.

Importance and Performance Analysis of Customers' Selection Attributes for Social Enterprises Type Cafe (사회적 기업 형 카페 선택속성의 중요도 및 수행도 분석)

  • An, Hea-Young;Paik, Jin-Kyoung;Hong, Wan-Soo
    • Korean journal of food and cookery science
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    • v.29 no.6
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    • pp.637-645
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    • 2013
  • The purpose of this study was to investigate the consumers' selection attributes of social enterprises type cafe by IPA(Importance-Performance Analysis). Data were collected through a self-administered questionnaire by 309 random consumers in several social enterprises type cafes in Seoul and Gyonggi area. The data was analyzed using SPSS windows(ver. 17.0) for descriptive analysis, t-test, one-way ANOVA and factor analysis. The importance of cafe's selection attributes were divided into five factors including 'promotion and menu', 'service quality and atmosphere', 'location', 'taste', and 'brand name'. The mean scores of importance and performance for cafe selection attributes were 4.01 and 3.68 out of 5, showing a significant difference between importance and performance. According to the IPA results of 17 selection attributes for social enterprises type cafe, the selection attributes with relatively low performance but high importance(II quadrant) was 'easy accessibility'. The factor to be improved through the IPA was accessibility factor, showing that the consumers had a low satisfaction compared to the significance of cafe's location.

An Analysis of the Diseases Specific Medical Service Organization Selection Factors of Patients (주요 상병 별 환자의 의료기관 선택성향 분석)

  • Youn, Kyung-Il;Doh, Sei-Rok
    • Korea Journal of Hospital Management
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    • v.12 no.4
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    • pp.1-21
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    • 2007
  • The relaxation of the regulation in selection of medical institution allows patients to use their own judgement in choosing proper institution for their diseases. Since the change of the regulation, there should have been many changes in medical institution selection behavior. The analysis of the change in disease specific selection pattern is critical because there be an optimal selection criteria that ensure the efficient and effective utilization of medical resources. This study analysis the institution selection factors by comparing the choice among the cases of acute diseases, the cases of chronic diseases, inpatient services, outpatient services, and emergency medical service. The comparisons performed in terms of size, class and other characteristics of medical institutions. For the study the nationally surveyed database was used and the data were analyzed using logistic regression procedure. The results indicates that the primary care facilities were not properly utilized. This study speculates that the reason for the undesirable pattern of utilization is that the roles of primary care facilities in the healthcare delivery system was not clearly defined. Based on the results, the medical policy implications are discussed.

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