• 제목/요약/키워드: Selection Analysis

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Selection of candidate sites for agrivoltaics in Chungnam Province: utilizing AHP analysis and ArcGIS

  • Byung Min Soon;Su Min Cho;Hee Dong Koo;Hyun Seon Lee
    • 농업과학연구
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    • 제50권4호
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    • pp.953-966
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    • 2023
  • As the importance of renewable energy diffusion spreads, promotion of sustainable renewable energy projects such as agrivoltaics is expected to accelerate. Furthermore, to promote agrivoltaics projects, it must be considered the legislation related to agrivoltaics and Chungnam Province's local policy. This research focuses on the selection of the most suitable sites for agrivoltaics installations in Chungnam Province in South Korea. Therefore, the process of this research was as follows. First, the legislation related to agrivoltaics and local policy in Chungnam Province were identified. Second, it employs an analytic hierarchy process (AHP) to consider important criteria and their weights for site selection. Third, based on the weights calculated AHP, geographic information system (GIS) was performed to select most suitable location selection of agrivoltaics installations in Chungnam Province. The analysis identified approximately 60 promising most suitable location for agrivoltaics installations in Chungnam Province, primarily in the northern part of Chungnam Province. These areas are expected to meet electricity demands in nearby regions since these are relatively adjacent to Gyeonggi Province. According to the results of research, policy suggestions related to agrivoltaics were presented separately into the agricultural sector and the electricity power sector. The study's results serve as a valuable resource for future national-level candidate site selection for agrivoltaics projects.

남성의 라이프 스타일과 매일의 의복선택동기에 관한 연구 (A Study on Life Style and Daily Clothing Selection Motives of Men)

  • 한화숙
    • 복식
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    • 제28권
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    • pp.137-150
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    • 1996
  • The objectives of this study were to classify daily clothing selection motives and to group men into life style types and to examine the differences in daily clothing selection motives according to the life style types. Questionnaire comprised of three sections: 36 Likert type items of life style measure; 29 Likert type items of daily clothing selection motives measure: and 4 demographic variables. Samples were 267 salary men in gheir 20's to 30's in Seoul Korea. The data were analyzed using factor analy-sis cluster analysis one-way ANOVA Dun-can's multiple range test and t-test. 1. Five factors of life style were derived by factor analysis ; F. 1 'appearance oriented' f. 2. 'positive activity' F. 3 'economy oriented': F.4 'active-leisure';F. 5 'contemporary' Four types of life style of men were defined by cluster analysis of the five factors: T. 1'posi-tive activity'; T. 2.'economy interest'; T. 3'contemporary' : T 2'economy interest' T.3'contemporary' ; T. 4 'appearance interest' 2. Four factors of daily clothing selection motives were derived by factor analysis: F.1 'clothing harmony'; F.2 'clothing utility'; F.3 'psychological influence'; F.4 'exogenous situ-ation adaptation 3. There were significant differences in daily clothing selection motives according to the life style types. The types of positive activity economy interest and contemporary had 'clothing utility' motive more than appearance interest type. Economy interest type had 'hpsychological influence' motive more than other three types. Economy interest type and appearance interest type had 'exogenous situ-ation adaptation' motive more than other two types 4. 20's and unmarried men had'psychological influence' motive more than 30's and married. Upper class had 'clothing harmony' and 'ex-ogeneous situation adaptation' motives more than middle and low. Men with less education had ' clothing utility' and 'exogenous situation adaptation' motives more than did more edu-cation.

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단변량 분석과 LVF 알고리즘을 결합한 하이브리드 속성선정 방법 (A Hybrid Feature Selection Method using Univariate Analysis and LVF Algorithm)

  • 이재식;정미경
    • 지능정보연구
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    • 제14권4호
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    • pp.179-200
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    • 2008
  • 본 연구에서는 사례기반 추론 기법을 대상으로 효율성과 효과성을 함께 증진시킬 수 있는 속성선정 방법을 개발하였다. 기본적으로, 본 연구에서 개발한 속성선정 방법은 기존에 개발된 단변량 분석 방법과 LVF 알고리즘을 통합하는 것이다. 먼저, 단변량 분석 방법 중 선택효과를 사용하여 전체 속성 중에서 예측력이 우수하다고 판단되는 일부분의 속성들을 추려낸다. 이 속성들로부터 생성해낼 수 있는 모든 가능한 부분집합을 생성해낸 후에, LVF 알고리즘을 이용하여 이 부분집합들이 가지는 불일치 비율을 평가함으로써 최종적으로 속성 부분집합을 선정한다. 본 연구에서 개발한 속성선정 방법을 UCI에서 제공하는 데이터 집합들에 적용하여 성능을 측정한 후, 기존 기법의 성능들과 비교한 결과, 본 연구에서 개발된 속성선정 방법이 선정된 속성의 개수도 만족할만하고 적중률도 향상되어서, 효율성과 효과성 모두의 측면에서 우수함을 보였다.

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항만선택행위에 대한 탐색적 이차원적 접근 (An Exploratory Two-dimensional Approach to Port Selection Behavior)

  • 박병인
    • 한국항만경제학회지
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    • 제33권4호
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    • pp.37-58
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    • 2017
  • 설문조사 및 응답자의 지각을 바탕으로 하는 항만선택연구의 암묵적인 가정은 항만선택속성들의 선호크기가 선택행위에 비례적이라는 것이다. 그러나 항만선택 속성들도 직선만이 아닌 비선형적 특성을 갖을 수 있다. 본 연구는 항만선택연구에 성격이 유사한 카노모형을 원용하여 항만선택속성의 비선형적 특성을 확인 하였다. 연구결과 선사의 항만선택속성들중 복합운송연계성과 항만규모 등이 당연특성으로 평가되는 등 여러 속성들이 비선형적 특성으로 평가되었다. 따라서 항만공사와 운영사 등의 항만 서비스제공자들은 선사들의 비선형적 항만선택특성을 반영한 항만운영전략을 구축해야 할 것이다. 본 연구가 항만선택 특성을 탐색적으로 분석하였기 때문에 추후 국내외 항만 및 이해당사자들을 대상으로 한 추가적인 검증연구가 필요하다. 또한 분석 및 전략수립에 활용한 카노모형 및 중요도 선택분석방법도 명확한 특성의 파악과 전략지침의 제시가 가능하도록 개선할 필요가 있다.

Identification of Recently Selected Mutations Driven by Artificial Selection in Hanwoo (Korean Cattle)

  • Lim, Dajeong;Gondro, Cedric;Park, Hye Sun;Cho, Yong Min;Chai, Han Ha;Seong, Hwan Hoo;Yang, Bo Suk;Hong, Seong Koo;Chang, Won Kyung;Lee, Seung Hwan
    • Asian-Australasian Journal of Animal Sciences
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    • 제26권5호
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    • pp.603-608
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    • 2013
  • Hanwoo have been subjected over the last seventy years to intensive artificial selection with the aim of improving meat production traits such as marbling and carcass weight. In this study, we performed a signature of selection analysis to identify recent positive selected regions driven by a long-term artificial selection process called a breeding program using whole genome SNP data. In order to investigate homozygous regions across the genome, we estimated iES (integrated Extended Haplotype Homozygosity SNP) for the each SNPs. As a result, we identified two highly homozygous regions that seem to be strong and/or recent positive selection. Five genes (DPH5, OLFM3, S1PR1, LRRN1 and CRBN) were included in this region. To go further in the interpretation of the observed signatures of selection, we subsequently concentrated on the annotation of differentiated genes defined according to the iES value of SNPs localized close or within them. We also described the detection of the adaptive evolution at the molecular level for the genes of interest. As a result, this analysis also led to the identification of OLFM3 as having a strong signal of selection in bovine lineage. The results of this study indicate that artificial selection which might have targeted most of these genes was mainly oriented towards improvement of meat production.

핵심역량에 기초한 A 통신사의 선발시스템 사례연구 (Telecommunication Company A's Selection System Case Based on the Core Competencies)

  • 구정호;이광희;이병진
    • 산업경영시스템학회지
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    • 제37권1호
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    • pp.9-25
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    • 2014
  • It is very important to select the best employees who are suitable for their jobs and duties as considering the efficiency and productivity of the firms' performance. As a result, many kinds of selection methodologies and systems have been developed. Among them is the selection system based on the core competencies which is known as the superior selection systems that can increase the predictive validity who is the right people, compared to the traditional selection system based on the job analysis. Hence, the former has been focused in the complex business situation in recent years. In this case study, we examine the selection system case based on the core competencies of OSS team in Company A, which is one of the largest telecommunication firms and we suggest the implications. According to the results of this case study, defining the core competencies of the job and selecting the right people who had the related competencies not only decreased the turnover rate of OSS team in Company A, but also increased the employees' loyalty and satisfaction for the organizations. This study will be a benchmark to other departments that don't use competency selection system of Company A as well as the firms that want to adapt the selection system based on the core competencies. Also, this case study has a contribution that shows us an alternative model how can the firms identify and select the best right employees.

푸드코트형 산업체 급식소에서의 고객의 메뉴 선택 속성 규명 (Identifying the Customers′ Menu Selection Attributes in Food Court-Styled B & I Foodservice Operation)

  • 이해영;안선정;양일선
    • 대한지역사회영양학회지
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    • 제9권2호
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    • pp.183-190
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    • 2004
  • This study was designed to identify how customers considered menu selection attributes on menu choice, and so the instrument for measuring that question was developed and menu selection behavior types were analyzed by customers' characteristics. Cronbach's alpha to assess the internal reliability of the developed scales was 0.8361, which indicated to be highly reliable. Construct validity was assessed by principal components factor analysis with a Varimax rotation to identify underlying dimensions of menu selection and then four factors explaining 55.618% of the total variance were found. These factors were labeled as 'quality of meals', 'attractiveness of meals', 'healthfulness of meals' and 'variety of meals', respectively. As a result of analysis on menu selection factors, 'quality of meals'(3.82 out of 5) was the highest consideration followed by 'variety of meals'(3.51), 'healthfulness of meals'(3.49) and 'attractiveness of meals'(3.34), so that menu marketing approaches in the perspective of quality of meals would do lead customers' selection rates, customer satisfaction and then sales highly. Frequent visitor selected menu indifferently but customers who were interested in food and menu highly, who perceived meals' quality highly, and who were satisfied with overall foodservice did with concern. On the basis of these results of study for the target of food court-style B & I foodservice operation, which was introduced as an ideal model in future foodservice market by the concept of 'customer's selection right', the following study related with customers' meal patterns and perception of foodservice by menu selection attributes would be able to predict the chances for success of food court-style foodservice operations.

Criteria for Supplier Selection in Textile and Apparel Industry : A Case Study in Vietnam

  • NONG, Nhu-Mai Thi;HO, Phong Thanh
    • The Journal of Asian Finance, Economics and Business
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    • 제6권2호
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    • pp.213-221
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    • 2019
  • The study aims to investigate some criteria of supplier selection in the textile and apparel (T&A) sector in Vietnam. Most research on supplier selection criteria for T&A sector was mainly conducted based on the review of literature. Therefore, the purpose of this study is to explore these criteria based on a framework in which an integrated approach of qualitative and quantitative was employed. First, an in-depth interview was used to explore what supplier selection criteria T&A companies were utilized after the literature on supplier selection criteria had been reviewed. Next, a prequestionnaire was built and sent to some practitioners and experts for their revision. Then, a pilot survey of 31 T&A companies with numerous statistical tests was conducted to validate the questionnaire. Finally, an official study of 282 respondents was conducted to determine supplier selection criteria which are best suited for T&A companies through exploratory factor analysis. The findings of the study suggest that there are eight supplier selection criteria including Quality, Cost, Delivery, Service, Capability, Company's image, Relationship, and Sourcing country. Each criterion comprises certain sub-criteria to make the supplier selection criteria set more comprehensive. The findings will be a contribution to the selection process of T&A companies as they can utilize these criteria to select capable suppliers.

Comparison of different digital shade selection methodologies in terms of accuracy

  • Nursen Sahin;Cagri Ural
    • The Journal of Advanced Prosthodontics
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    • 제16권1호
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    • pp.38-47
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    • 2024
  • PURPOSE. This study aims to evaluate the accuracy of different shade selection techniques and determine the matching success of crown restorations fabricated using digital shade selection techniques. MATERIALS AND METHODS. Teeth numbers 11 and 21 were prepared on a typodont model. For the #11 tooth, six different crowns were fabricated with randomly selected colors and set as the target crowns. The following four test groups were established: Group C, where the visual shade selection was performed using the Vita 3D Master Shade Guide and the group served as the control; Group Ph, where the shade selection was performed under the guidance of dental photography; Group S, where the shade selection was performed by measuring the target tooth color using a spectrophotometer; and Group I, where the shade selection was performed by scanning the test specimens and target crowns using an intraoral scanner. Based on the test groups, 24 crowns were fabricated using different shade selection techniques. The ΔE values were calculated according to the CIEDE2000 (2:1:1) formula. The collected data were analyzed by means of a one-way analysis of variance. RESULTS. For the four test groups (Groups C, Ph, S, and I), the following mean ΔE values were obtained: 2.74, 3.62, 2.13, and 3.5, respectively. No significant differences were found among the test groups. CONCLUSION. Although there was no statistically significant difference among the shade selection techniques, Group S had relatively lower ΔE values. Moreover, according to the test results, the spectrophotometer shade selection technique may provide more successful clinical results.

On loss functions for model selection in wavelet based Bayesian method

  • Park, Chun-Gun
    • Journal of the Korean Data and Information Science Society
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    • 제20권6호
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    • pp.1191-1197
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    • 2009
  • Most Bayesian approaches to model selection of wavelet analysis have drawbacks that computational cost is expensive to obtain accuracy for the fitted unknown function. To overcome the drawback, this article introduces loss functions which are criteria for level dependent threshold selection in wavelet based Bayesian methods with arbitrary size and regular design points. We demonstrate the utility of these criteria by four test functions and real data.

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