• Title/Summary/Keyword: Objective attribute

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The Effect of Consumer's Objective Knowledge, Subjective Knowledge and Involvement of Apparel on Product Attribute Evaluation (소비자의 객관적 지식, 주관적 지식과 관여가 의류 상품 속성 평가에 미치는 영향)

  • Lee Ji-Yeon;Park Jae-Ok
    • Journal of the Korean Society of Clothing and Textiles
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    • v.30 no.5 s.153
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    • pp.818-828
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    • 2006
  • The purpose of this study was to clarify differences in the product attribute evaluation in relation to the objective knowledge, subjective knowledge and involvement of apparel. The measurement instruments were developed by researcher on the basis of previous studies in the same field. The subjects of this study were female adults who lived in Seoul, Kyunggi or Incheon areas and quota sampling using age and residential areas was employed. The data were obtained from 603 questionnaires. Data were statistically analyzed using SPSS 10 and LISREL 7.0. Major statistical methods were factor analysis, Cronbach's a coefficient, multiple regression analysis, and structural equation model analysis. The results were as follows: 1. Involvement was related to the consumer knowledge and the knowledge influenced evaluation of intrinsic attributes, social attributes, and economic attributes. 2. The dimensions of objective knowledge significantly influenced intrinsic attributes and economic attributes. The dimensions of subjective knowledge significantly influenced intrinsic attributes, social attributes and economic attributes. 3. Apparel involvement significantly influenced intrinsic attributes, social attributes and economic attributes. Consumers who have higher interest in apparel product but not in trends considered intrinsic attributes more importantly, whereas consumers who care trends considered social attribute more.

A multi-attribute index for evaluating of national nuclear R&D prniects in Korea: multi-attribute utility analysis (다속성 효용분석을 이용한 원자력연구개발과제 사후평가지표 개발)

  • 곽승준;유승훈;김찬준
    • Journal of Korea Technology Innovation Society
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    • v.5 no.1
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    • pp.90-109
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    • 2002
  • The national nuclear R&D projects have been implemented for the purpose of supply of nuclear power which was proved to be safety and stability. Evaluating the national nuclear R&D projects has critical importance in nu-clear energy management aspect. This paper employs multi-attribute utility analysis as a basis for obtaining an evaluation index to assess the national nuclear R&D projects using a specific case study of Korea. To structure and quantify basic values for the evaluation, we elicited important attributes, then refined and structured them into a hierarchy. A multi-attribute index is constructed as a multi-attribute utility function, based on value judgments provided by a group of technical experts, policy makers, and faculties. As a result, the objective of attainment of a proposed object is given the highest priority, followed by appropriateness of project and research strategy, utilization of research output, within attribute ranges defined for the attributes. We found that the work and results of this study can provide valuable insights and decision opportunities for virtually all major decision making in evaluation of the national nuclear R&D projects in Korea.

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A Study on the Relationship among Evaluation Attributes of Local Festival, Visitor's Satisfaction and Behavioral Intention: A Case Study of BIFF (지역축제 평가속성과 방문객 만족 및 행동의도와의 관계 -부산국제영화제를 대상으로-)

  • Kim, Hong-Gil
    • Journal of Agricultural Extension & Community Development
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    • v.19 no.2
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    • pp.409-434
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    • 2012
  • The purpose of this study is to clarify the cause and effects of evaluation attribute, visitor's satisfaction and behavioral intentions focused on Busan International Film Festival(BIFF). To achieve the study objective, 277 valid questionnaires were statistically analyzed, using frequency analysis, exploratory factor analysis, confirmatory factor analysis, reliability analysis and path analysis. The results show that the evaluation attribute of local festival exerts a positive influence on visitor's satisfaction and behavioral intention. Second, visitor's satisfaction had positive effects on behavioral intention. The regional festival can vary depending on the visit is satisfied. Consequently, it was revealed how evaluation attribute is in the visitor's satisfaction and behavioral intention in local festival.

Effects of Dining-out Motives and Attribute Evaluation of Restaurants on the Intention of Word of Mouth and Reusing (외식 동기와 레스토랑 속성 평가가 구전 및 재이용 의도에 미치는 영향)

  • Kim, Seog-Jun;Cho, Yong-Bum
    • Culinary science and hospitality research
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    • v.12 no.3 s.30
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    • pp.61-74
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    • 2006
  • The objective of this study are to examine how the factors influence each other by determining the appropriate measurement standard based on the Dining-out Motives, restaurant attribute evaluation, intention of word of mouth and reusing, an effective restaurant marketing strategy on the basis of the analytical results by patrons and market segmentations. The study surveyed 321 subjects and processed the result using SPSS for Win. V. 12.1. For statistical analysis, Frequency, Factor Analysis, and Regression were put into operation. The results showed that dining-out motives and restaurant attribute evaluation had positive effects on the intention of word of mouth and reusing. Furthermore, the restaurant owners or managers will need to understand the existing market and target markets more objectively, and, through this market segmentation, formulate a marketing strategy that is appropriate for diverse desires of customers and different characteristics of restaurants.

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A Link-Based Label Correcting Multi-Objective Shortest Paths Algorithm in Multi-Modal Transit Networks (복합대중교통망의 링크표지갱신 다목적 경로탐색)

  • Lee, Mee-Young;Kim, Hyung-Chul;Park, Dong-Joo;Shin, Seong-Il
    • Journal of Korean Society of Transportation
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    • v.26 no.1
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    • pp.127-135
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    • 2008
  • Generally, optimum shortest path algorithms adopt single attribute objective among several attributes such as travel time, travel cost, travel fare and travel distance. On the other hand, multi-objective shortest path algorithms find the shortest paths in consideration with multi-objectives. Up to recently, the most of all researches about multi-objective shortest paths are proceeded only in single transportation mode networks. Although, there are some papers about multi-objective shortest paths with multi-modal transportation networks, they did not consider transfer problems in the optimal solution level. In particular, dynamic programming method was not dealt in multi-objective shortest path problems in multi-modal transportation networks. In this study, we propose a multi-objective shortest path algorithm including dynamic programming in order to find optimal solution in multi-modal transportation networks. That algorithm is based on two-objective node-based label correcting algorithm proposed by Skriver and Andersen in 2000 and transfer can be reflected without network expansion in this paper. In addition, we use non-dominated paths and tree sets as labels in order to improve effectiveness of searching non-dominated paths. We also classifies path finding attributes into transfer and link travel attribute in limited transit networks. Lastly, the calculation process of proposed algorithm is checked by computer programming in a small-scaled multi-modal transportation network.

Semi-Supervised Spatial Attention Method for Facial Attribute Editing

  • Yang, Hyeon Seok;Han, Jeong Hoon;Moon, Young Shik
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.10
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    • pp.3685-3707
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    • 2021
  • In recent years, facial attribute editing has been successfully used to effectively change face images of various attributes based on generative adversarial networks and encoder-decoder models. However, existing models have a limitation in that they may change an unintended part in the process of changing an attribute or may generate an unnatural result. In this paper, we propose a model that improves the learning of the attention mask by adding a spatial attention mechanism based on the unified selective transfer network (referred to as STGAN) using semi-supervised learning. The proposed model can edit multiple attributes while preserving details independent of the attributes being edited. This study makes two main contributions to the literature. First, we propose an encoder-decoder model structure that learns and edits multiple facial attributes and suppresses distortion using an attention mask. Second, we define guide masks and propose a method and an objective function that use the guide masks for multiple facial attribute editing through semi-supervised learning. Through qualitative and quantitative evaluations of the experimental results, the proposed method was proven to yield improved results that preserve the image details by suppressing unintended changes than existing methods.

Estimating Economic Values of Parcel Service Attributes (택배 서비스 속성별 경제적 가치 추정)

  • Han, Sang-Yong;Kim, Yong-Mi
    • Journal of Korean Society of Transportation
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    • v.28 no.5
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    • pp.65-75
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    • 2010
  • The objective of this paper is to quantify economic values of parcel service attributes (safety, reliability, quickness, and kindness and customer service) using the contingent choice method and to investigate impact factors (such as sex, age, and education), which influence choice of desirable parcel services. As empirical results, the marginal willingness-to-pay for multiple attributes of parcel service is calculated as about 2,349.6 KRW for the safety attribute, about 829.3 KRW for the reliability attribute, about 588.5 KRW for the quickness attribute, and about 358.8 KRW for the kindness and customer service attribute, according to the estimation model without covariates. The overall results indicate that the safety attribute ranks highest among parcel service attributes, followed by the reliability attribute, quickness attribute, and kindness and customer service attribute. These results can be useful in the decision-making process for establishing desirable pricing policies for parcel service.

An Analysis on the Preference of Early Childhood Teachers in Horticultural Activities Based on Conjoint Analysis

  • Jeong, Yeojin;Kim, Mijin;Chang, Taegwon;Yun, Sukyoung
    • Journal of People, Plants, and Environment
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    • v.23 no.5
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    • pp.495-506
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    • 2020
  • Background and objective: This study conducted a conjoint analysis on early childhood teachers to find out their preferences in horticultural activities that are used as a means of education in early childhood education. Methods: For the conjoint analysis, five attributes of horticultural activities were selected. Attribute 1 was method of horticultural activities, divided into two levels: exclusive and integrated horticultural activities. Attribute 2 was object of horticultural activities, divided into three levels: fruit crops, vegetable crops, and floricultural crops. Attribute 3 was activity type, divided into three levels: big and small group, free choice, and outdoor play. Attribute 4 was place for horticultural activities, and divided into two levels: indoors and outdoors. Attribute 5 was time for horticultural activities, divided into two levels: 30 minutes and 30-60 minutes. The orthogonal design was used to extract 20 profiles, after which we conducted a survey on 320 early childhood teachers and analyzed the valid responses from 257 teachers. Results: The preference of early childhood teachers showed highest importance in object (29.1%), followed by activity type (23.2%), activity method (17.4%), time (16.1%), and place (14.2%) (Pearson's R = .591, p = .008). By level of each attribute, the importance was high in exclusive horticultural activities for activity method, big and small group for activity type, vegetable and floricultural crops for object, indoors for place, and 30 minutes for time. Conclusion: The horticultural program preferred by early childhood teachers is comprised of big and small group activities using vegetable and floricultural crops, carried out indoors for 30 minutes as an exclusive class.

Quality Assessment of Clothing Products Using a Fuzzy/Multi-Attribute Model (퍼지-다속성 모델을 이용한 의류품질의 감성공학적 평가)

  • 김주용;이지현
    • Science of Emotion and Sensibility
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    • v.7 no.2
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    • pp.149-155
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    • 2004
  • This research focus on analyzing the quality of clothing product in view of consumer's sensibility trend with a emphasis on measuring objective quality of pruduct. The fuzzy logic-based multi attribute model has been developed in order to evaluate the quality of clothing product. The overall quality of a clothing products can be divided into two distinct terms, product quality and brand value. Those two values are further analyzed with a relation to human sensibility.

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Extraction of Building and Road Facility Information System Using Graphic Solution (도해법을 이용한 건물 및 도로시설물 정보추출)

  • Sohn, Duk-Jae;Lee, Seung-Hwan
    • Journal of Korean Society for Geospatial Information Science
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    • v.11 no.4 s.27
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    • pp.45-51
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    • 2003
  • This study intended to extract the spatial data and attribute data from the images of terrestrial photographs to compile the digital map from the images using photogrammetric analysis. In this study, the plane map of present objective area was made using the single terrestial photographs and graphical method, and the spatial or attribute data for the facilities in the area was extracted. Also, it is concluded that the efficient techniques for acquiring spatial and attribute data of the building and road facilities in proper time for the concerning area were suggested.

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