• 제목/요약/키워드: Attribute analysis

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스마트폰의 기능적 속성의 선호도 분석에 관한 연구 (A Study on the Preference Analysis of Stmartphone's Functional Attribute)

  • 정순석
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2011년도 추계학술대회
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    • pp.695-716
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    • 2011
  • In the future, smartphone convergences are not only based on the on/offline integration, but also with the integration between mobile communications and broadcasts. Therefore, there is a need to search for new direction of mobile device that enables variety user applications that are different from the existing size and application issue. The aim of this reserch is to improve user interface of smartphone's functional attribute. The survey results in this paper showed that the most preferable attribute of smartphone among the 8 was the wireless internet 25.3%, followed by messaging 20% and application 19.8%, which totaled to 62.5%. But the samples used were mostly limited to those aged 20 through 30. So the results are not considered as a representative preference of all smartphone users, and should be considered otherwise before materializing them to a product. Therefore, for the more liable results the further research should be conducted to gather data from a variety of users of all ages, and the functional attribute should be analysed through QFD.

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백본 네트워크에 따른 사람 속성 검출 모델의 성능 변화 분석 (Analyzing DNN Model Performance Depending on Backbone Network )

  • 박천수
    • 반도체디스플레이기술학회지
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    • 제22권2호
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    • pp.128-132
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    • 2023
  • Recently, with the development of deep learning technology, research on pedestrian attribute recognition technology using deep neural networks has been actively conducted. Existing pedestrian attribute recognition techniques can be obtained in such a way as global-based, regional-area-based, visual attention-based, sequential prediction-based, and newly designed loss function-based, depending on how pedestrian attributes are detected. It is known that the performance of these pedestrian attribute recognition technologies varies greatly depending on the type of backbone network that constitutes the deep neural networks model. Therefore, in this paper, several backbone networks are applied to the baseline pedestrian attribute recognition model and the performance changes of the model are analyzed. In this paper, the analysis is conducted using Resnet34, Resnet50, Resnet101, Swin-tiny, and Swinv2-tiny, which are representative backbone networks used in the fields of image classification, object detection, etc. Furthermore, this paper analyzes the change in time complexity when inferencing each backbone network using a CPU and a GPU.

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한국과 중국 소비자 간의 뷰티샵 선택 속성 차이 비교 연구 (Study on the differences in the beauty shop selection attributes between Koreans and Chinese Consumers)

  • 이주란;김상수
    • 한국융합학회논문지
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    • 제11권12호
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    • pp.275-282
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    • 2020
  • 잠재력이 큰 중국 뷰티시장에 대한 관심이 커지면서, 성공적인 중국시장 진출을 위해서는 한국과는 다른 중국 소비자들의 성향에 대한 이해가 더욱 중요해지고 있다. 본 연구에서는 한국과 중국 소비자 간의 뷰티샵 선택 속성 차이를 비교하고자 하였다. 이러한 연구목적을 달성하기 위하여 점포선택요인에 대한 선행연구를 통해 뷰티샵 선택 속성을 환경적 속성, 구조적 속성, 외형적 속성, 인지도, 서비스 속성 등 5개의 구성요소로 분류하였다. 중국인 162명과 한국인 111명으로부터 각각 설문 응답을 회수하여 실증분석을 하였다. 중국인이나 한국인 모두 뷰티샵 선택 속성 중 환경적 속성 및 서비스 속성과 만족도 간의 관계는 유의하나, 나머지 속성들과 만족도 간의 관계는 유의하지 않은 것으로 나타났다. 또한 환경적 속성 및 서비스 속성과 만족도 간의 관계는 중국인과 한국인 간 유의한 차이가 존재하는 것으로 나타났다. 본 연구는 한국인과 중국인 간의 뷰티샵 선택 속성 차이를 비교함으로써 치열한 뷰티 시장의 경쟁에서 각국의 상황과 특성에 대한 이해를 바탕으로 보다 품질 높은 뷰티샵을 창업 및 운영할 수 있는데 도움을 줄 수 있다는 측면에서 그 의의를 찾을 수 있다.

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

  • 이지연;박재옥
    • 한국의류학회지
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    • 제30권5호
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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.

관광 지역 음식점에 대한 관광객들의 선호도 평가 (Assessing Tourists' Restaurant Preferences within Tourism Area)

  • 강종헌;정항진
    • 동아시아식생활학회지
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    • 제18권2호
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    • pp.165-171
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    • 2008
  • The purpose of this study was to measure tourists' preference for alternative restaurants with different combinations of attribute levels: grown area logo, origin description, traditional food, fusion food, national food, and price. A total of 210 questionnaires were completed. A conjoint experimental method was used to develop hypothetical restaurants, and an ordinal probit model was used to measure the effects of the attribute levels on tourists' preference. The ordinal probit model analysis results for the data indicated an excellent model fit. The effects of the attribute levels on tourists' preferences were statistically significant. As expected, estimates of the marginal willingness to pay were statistically significant Moreover, the tourists were more willing to pay for grown area logo as compared to the other attribute levels. The tourists also considered the grown area logo as a very important attribute. Withe regard to developing and testing conjoint models in the design of choice experiments involving multifactor alternatives, this study may approach a deeper understanding of the conjoint experiment. Greater understanding of the conjoint experiment can improve the managerial diagnoses of the problems as well as the opportunities for different marketing strategies including local branding programs and menu development and marketing communications.

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제품 속성정보 강화에 따른 소비자 대안선택 변화에 관한 연구 (The Final Alternative Choice According to the Change of Product Attribute Information)

  • 김상철
    • 유통과학연구
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    • 제4권1호
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    • pp.103-120
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    • 2006
  • 본 연구는 소비자들이 정보탐색을 하는데 있어 초기에 탐색되는 속성정보와 후기에 탐색되는 속성정보를 달리함으로써 소비자들의 최종대안 선택이 어떻게 변하는지를 파악하는데 목적이 있다. 연구결과, 컴퓨터에 대한 초기탐색 속성을 강화한 결과 고관여, 저관여 집단에서 모두 유의하게 최종대안 선택이 증가하는 것으로 나타났고 강화효과가 통계적으로 유의한 효과가 있음을 입증했다. 후기탐색 속성을 강화한 결과도 고관여, 저관여 집단에서 모두 유의하게 최종대안 선택이 증가했으며, 강화효과도 유의한 것으로 나타났다. 청바지 제품에 대한 초기속성을 강화한 결과 고관여집단에서는 최종대안 선택이 증가했으며, 강화효과도 통계적으로 유의한 결과를 보였다. 그러나 저관여집단의 경우는 초기속성 강화에 따른 최종선택 대안이 증가는 하였으나 통계적으로 유의하지는 않았다. 후기탐색 속성에 대한 강화효과는 고관여집단이나 저관여집단 모두에서 최종대안 선택변화의 증가를 가져왔으나, 통계적으로는 유의하지 않다는 사실을 확인하였다.

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다속성 효용이론을 활용한 중국시장에서의 인터넷 의료정보 서비스 선호속성 분석 (An Analysis of Consumer Preferences for Internet Medical Information Service in China Using the Multi-Attribute Utility Theory)

  • 김경환;장영일
    • Journal of Information Technology Applications and Management
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    • 제16권4호
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    • pp.93-107
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    • 2009
  • This study investigated consumer preferences for Internet medical information service in China using the multi-attribute utility theory. The multi-attribute utility theory is a compositional approach for modeling consumer preferences wherein researchers calculate the overall service utility by summing up the evaluation results for each attribute. We found that Chinese Internet medical information users consider the availability of information and quick response to be the most important attributes. Further, they think that the comment feature is less important as compared to other attributes such as costs and updates. In addition, we found that the Internet users having more Internet experience consider these attributes to be more important as compared to the people who are just beginning to surf the Internet. For any successful Internet business, Internet marketers should assess individual-level preference and accordingly organize a fresh campaign. As of now, Internet marketers need estimation methods to predict the market performance of new services in many different business environments. We believe that the multi-attribute utility theory is a useful approach in this regard.

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Provably secure attribute based signcryption with delegated computation and efficient key updating

  • Hong, Hanshu;Xia, Yunhao;Sun, Zhixin;Liu, Ximeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권5호
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    • pp.2646-2659
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    • 2017
  • Equipped with the advantages of flexible access control and fine-grained authentication, attribute based signcryption is diffusely designed for security preservation in many scenarios. However, realizing efficient key evolution and reducing the calculation costs are two challenges which should be given full consideration in attribute based cryptosystem. In this paper, we present a key-policy attribute based signcryption scheme (KP-ABSC) with delegated computation and efficient key updating. In our scheme, an access structure is embedded into user's private key, while ciphertexts corresponds a target attribute set. Only the two are matched can a user decrypt and verify the ciphertexts. When the access privileges have to be altered or key exposure happens, the system will evolve into the next time slice to preserve the forward security. What's more, data receivers can delegate most of the de-signcryption task to data server, which can reduce the calculation on client's side. By performance analysis, our scheme is shown to be secure and more efficient, which makes it a promising method for data protection in data outsourcing systems.

Sharing and Privacy in PHRs: Efficient Policy Hiding and Update Attribute-based Encryption

  • Liu, Zhenhua;Ji, Jiaqi;Yin, Fangfang;Wang, Baocang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권1호
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    • pp.323-342
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    • 2021
  • Personal health records (PHRs) is an electronic medical system that enables patients to acquire, manage and share their health data. Nevertheless, data confidentiality and user privacy in PHRs have not been handled completely. As a fine-grained access control over health data, ciphertext-policy attribute-based encryption (CP-ABE) has an ability to guarantee data confidentiality. However, existing CP-ABE solutions for PHRs are facing some new challenges in access control, such as policy privacy disclosure and dynamic policy update. In terms of addressing these problems, we propose a privacy protection and dynamic share system (PPADS) based on CP-ABE for PHRs, which supports full policy hiding and flexible access control. In the system, attribute information of access policy is fully hidden by attribute bloom filter. Moreover, data user produces a transforming key for the PHRs Cloud to change access policy dynamically. Furthermore, relied on security analysis, PPADS is selectively secure under standard model. Finally, the performance comparisons and simulation results demonstrate that PPADS is suitable for PHRs.

혜택세분화와 인식도에 의한 진의류 브랜드 이미지 연구(II) -인식도에 의한 브랜드 이미지 분석- (Brand Image: Analysis of Domestic Jeans Market through Benefit Segmentation and Perceptual Mapping(II))

  • 최일경;고애란
    • 한국의류학회지
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    • 제19권5호
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    • pp.699-712
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    • 1995
  • The purpose of this study was 1) to identify the constructing factors of jeans brand image 2) to analyze the domestic jeans market using perceptual maps of three benefit segments based on stdy(I). The questionnaire consisted of brand preference, attribute of brand image and wearer image was selected from the previous studies or developed for this study. The subjects were 350 male and female university students who have purchased at least one of the nine jeans wear brand selected for the study. For statistical analysis, reliability test, factor analysis, MANOVA, and multiple regression were used. The results of this study were as follows: 1. Symbolism, quality, and economy were found out as constricting factors of brand image in the attribute dimensions, while innovative and active image were found out in the wearer image dimensions. 2. 9 Perceptual maps of attribute dimensions and 3 perceptual maps of wearer image dimensions were constructed and each ideal vector was drawn.

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