• Title/Summary/Keyword: Product Image

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A Study on the Hierarchy of Clothing Images (의복 이미지의 계층구조에 대한 연구)

  • Chung, Ihn-Hee;Rhee, Eun-Young
    • Journal of the Korean Society of Clothing and Textiles
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    • v.17 no.4
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    • pp.529-538
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    • 1993
  • This study was intended to identify the hierarchy of clothing images, which is expected to be helpful in style classification and product positioning. A questionnaire consisted of 110 words expressing clothing images was developed, and eight clothing photographs were selected as stimuli. 289 female subjects aged between 22 to 37 responded to two of the eight photographs during September, 1991. 110 words were reduced to 62 words based on their independence before conducting factor analysis to identify the constructing factors of clothing images. Nine words with negative connotations were eliminated, because they are not sought in product development. To explain the hierarchy of clothing images, cluster analysis was applied. To observe the association of 53 words, dendrogram was introduced, and to interpret the result, eleven sub clusters were determined. This 11 clusters were continuously combined according to their similarities, until they integrated into one 'clothing image'. Two major division of image clusters were 'graceful and feminine image', and 'mannish and simple image'.

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Introduction for the KOMPSAT-2 Direct Receiving and Processing System Installed in North Pole

  • Seo, Min-Ho;Chae, Tae-Byeong
    • Bulletin of the Korean Space Science Society
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    • 2009.10a
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    • pp.48.3-49
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    • 2009
  • The purpose of this paper is to introduce the KOMPSAT-2 Direct Receiving and Processing System, hereafter DRS, located in Svalbard, Tromso and Toulouse. The KOMPSAT-2 from KOMPSAT-2 satellite and generating preprocessed image data that is a kind of raw image data for standard image production. The products generate from this system are comprised of 1R and 1G product upon having a geographic coordinates. In the following paragraph, it is described that DRS configuration, data processing procedure and product characteristics and then, the value-added image production test such orthoimage is introduced.

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A Study on the In-Process Measurement of Rotary Body by Optical Technique (광학적 기법을 이용한 회전체 인프로세스 측정에 관한 연구)

  • So, Eui-Yeorl;Im, Young-Ho;Ryu, Bong-Hwan
    • Journal of the Korean Society for Precision Engineering
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    • v.13 no.5
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    • pp.148-156
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    • 1996
  • Automatic product system is gradually increasing according to development of industrial society. On-line measurement makes a important role in view of economic and effective side in industrial product system. Syncronization system is developed to measure screw thread which is rotating. In-process measuring of rotating body have a lot of difficuties even thoufht using various method containing high speed camera. So, now we suggest one of the new method which is not so expansive. In this study, digital value was produced through the image processing algorithm from acquired orignal image. As a result, we have a good agreement between measuring values calculated from image conture and measuring values acquired from profile project by means of experiment, respectively.

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Quality Measurement of Deburring Product using Image Processing (화상처리를 이용한 디버링 가공물의 품질 측정)

  • 송무건;백재용;신관수;유송민
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2001.04a
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    • pp.119-124
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    • 2001
  • In this study, a vision system with image processing method have been introduced to find the edge radius of curvature. It was applied to inspect the edge quality of the deburring process product with brush grinding. Size of data was found to be critical in calculating the radius of curvature. Results using laser measurement system were compared.

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A study on the deburring process using brush grinding (브러시 연삭을 이용한 공작물의 면취 가공에 대한 연구)

  • 백재용
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2000.04a
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    • pp.507-512
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    • 2000
  • Due to increasing demand toward improving product quality, various methodologies have been introduced. A brush type grinding tool is one of the most frequently used one to facilitate required process. In order to produce consistent burr shape, various machining conditions have been combined applied to disk grinding process. It has been observed that the burr dimension(shape and width) depends on the inclination angle between grinding disk and workpiece. Drastic increase of tool Wear has been also observed along the inclination angle variation. Various burr shapes have been captured and analyzed using image processing technique.

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Antecedents of Attitudes Toward Private Brands from the Perspective of Image Congruence (이미지 일치성 관점에서 본 유통업체 브랜드에 대한 태도 형성의 선행 변수들)

  • 이동대
    • Journal of Distribution Research
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    • v.8 no.1
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    • pp.21-46
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    • 2003
  • Despite importance of private brands in the retail industry, not many studies have been performed on factors affecting consumers' attitude formation toward private brands. This study tries to understand attitude formation toward private brands from the perspective of image congruence. Focusing on three types of image congruence-image congruence between a private brand and a consumer's self, image congruence between a store and a product category used for a private brand, and image congruence between a store and a consumer's self - this study explores relationships and effects of these three types of image congruence on attitudes toward private brands. According to results, image congruence between a private brand and a consumer's self has the strongest effect among three types of image congruence. Image congruence between a store and a product category also has a significant positive effect on attitudes toward private brands. Effects of image congruence between a store and a consumer's self on attitudes toward private brands were opposite to the hypothesized direction, and explanations about the unexpected result are provided.

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Deep learning-based product image classification system and its usability evaluation for the O2O shopping mall platform (딥 러닝 기반 쇼핑몰 플랫폼용 상품 이미지 자동 분류 시스템 및 사용성 평가)

  • Sung, Jae-Kyung;Park, Sang-Min;Sin, Sang-Yun;Kim, Yung-Bok;Kim, Yong-Guk
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.3
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    • pp.227-234
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    • 2017
  • In this paper, we propose a system whereby one can automatically classifies categories based on image data of the products for a shopping mall platform. Many products sold within internet shopping malls are classified their category defined by the same use of product names and products. However, it is difficult to search by category classification when the classification of the product is uncertain and the product classified by the shopping mall seller judgment is different from the purchasing user judgment. We proposes classification and retrieval method by Deep Learning technique solely using product image. The system can categorize products by using their images and its speed and accuracy are quantified using test data. The performance is evaluated with the test data. In addition, its usability is tested with the participants.

A Study on the Image-photos as a Communication Tool in Product Design (커뮤니케이션 수단으로서의 이미지 사진에 관한 연구)

  • 김관배
    • Proceedings of the Korea Society of Design Studies Conference
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    • 1999.10a
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    • pp.20-21
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    • 1999
  • 오늘날 제품개발 환경에서 디자이너는 고유의 디자인 업무뿐 아니라 여러 기능부서의 의견을 수렴하고 통합, 조정하는 교량 또는 촉매로서의 역할을 요구받고 있다. 이러한 변화에 따라 디자이너는 제품기획에서 생산, 판매에 이르는 제품개발의 전 단계에 적극적으로 그 역할을 하지 않을 수 없게 되었다. (중략)

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An Empirical on the Re-purchase Intention and Product Satisfaction for American Image (미국 국가이미지에 따른 제품만족도와 구매의도에 관한 실증분석)

  • Lee, Je-Hong
    • International Commerce and Information Review
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    • v.13 no.1
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    • pp.55-76
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    • 2011
  • America is traditionally friendly to South Korea. Last year in 2008, U.S. exports to South Korea totaled $32.4 billion. The U.S. and Korean must reciprocate economic exchange. The purpose of this study to measure the re-purchase intentions and product satisfaction in America image. The major result of article can be summarized as follows. The factors of this article have been divided into 'society safety', 'industrialization level', 'economic image', 'political image', 'cultural image', and 'the character of a nation'. In the empirical result of the article, the goods satisfaction for America country image would be shown in the results. The first, 'society safety', 'industrialization level', 'the character of a nation' are significantly positive statistically to goods satisfaction. The second, 'economic image', 'political image', 'cultural image' are not as significantly positive statistically speaking.

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Soft Sensor Design Using Image Analysis and its Industrial Applications Part 2. Automatic Quality Classification of Engineered Stone Countertops (화상분석을 이용한 소프트 센서의 설계와 산업응용사례 2. 인조대리석의 품질 자동 분류)

  • Ryu, Jun-Hyung;Liu, J. Jay
    • Korean Chemical Engineering Research
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    • v.48 no.4
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    • pp.483-489
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    • 2010
  • An image analysis-based soft sensor is designed and applied to automatic quality classification of product appearance with color-textural characteristics. In this work, multiresolutional multivariate image analysis (MR-MIA) is used in order to analyze product images with color as well as texture. Fisher's discriminant analysis (FDA) is also used as a supervised learning method for automatic classification. The use of FDA, one of latent variable methods, enables us not only to classify products appearance into distinct classes, but also to numerically and consistently estimate product appearance with continuous variations and to analyze characteristics of appearance. This approach is successfully applied to automatic quality classification of intermediate and final products in industrial manufacturing of engineered stone countertops.