• 제목/요약/키워드: Image Attributes

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구매속성에 따른 기업의 사회적 책임활동이 소비자의 식품 구매의도에 미치는 영향 (Effects of Corporate Social Responsibility (CSR) on Consumers' Food Purchasing Intention according to Purchasing Attributes)

  • 박정수;심기현
    • 한국식품영양학회지
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    • 제27권5호
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    • pp.859-871
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    • 2014
  • This study investigated the effects that corporate social responsibility (CSR) had on the credibility and image of a food corporation by analyzing the purchasing intention and food purchases of consumers. This analysis was undertaken in an attempt to establish a marketing strategy that meets consumer demands, and the results showed that all CSR activities undertaken by the food corporation had a positive effect on the reliability and image of the corporation and on consumers' purchase intention. The results indicate that the ethical aspect of the CSR activities had the greatest effect while their charitable aspect had the least effect on the reliability and purchase intention of the customers regarding the food corporation. Thus, it appears that establishing of suitable ethical doctrines and guidelines for corporate management by food corporation is effective in emphasizing the ethical aspects of their policies through transparent management by means of fair trade.

G감성유형에 따른 점포선택행동에 관한 연구 - 점포속성, VM요소, 점포충성도를 중심으로 - (Importance of Store Attribute, VM factors, and Store Loyalty by Consumers' G Sensibility Types for Apparel Store Choice)

  • 오희선;김은영;이호정
    • 한국의류산업학회지
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    • 제10권6호
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    • pp.864-872
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    • 2008
  • This study investigated store attributes, VM factors, and store loyalty for store choice behavior by G sensibility types. A total of 425 usable questionnaires were obtained from students who enrolled at universities in Busan, Korea. For data analysis, factor analysis, cluster analysis, ${\chi}^2$-test, and ANOVA were conducted by using SPSS 10.1. The major results were as follows: First, G sensibility was classified into five types: G1(My pace type), G2(Active type), G3(Whimsical type). G4(Mania type), and G5(Sensational type). Particularly, G3 was most highly observed in male and female groups. Second, there was significant difference in the importance of store attribute, such as merchandise assortment among G sensibility types. Third, there were significant differences in VM factors of store image, physical facilities, and display and layout among G sensibility types. Especially, G5 type consumers considered store image, physical facilities, and merchandise display and layout more importantly, than did the other types. Fourth, there was significant difference in store loyalty among G sensibility types. This study discussed managerial implications of visual merchandising strategy for apparel retailers.

특급호텔 종사원의 인구통계적 특성에 따른 인맥지수에 대한 탐색적 고찰 (A Study on the Network Quotient of Employees in Deluxe Hotel according to Demographic Characteristics)

  • 정효선;윤혜현
    • 한국식생활문화학회지
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    • 제30권4호
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    • pp.439-446
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    • 2015
  • This study considered network quotient (NQ) of deluxe hotel employees and schematized characteristic attributes of being selected by employees with image through correspondence analysis in terms of cognition degree. Self-administrated questionnaires were completed by employees (292 samples) and data were analysed by frequency, t-test, one-way ANOVA, reliability and correspondence analysis. First, the hotel employees indicated the high average value in "participating in special education or seminar for improving ability ($3.85{\pm}0.76$). Second, as a result of analyzing difference according to gender, the average value in men was higher than in women. It was indicated that the higher age and career lead to a rise even in the average value of relationship index. Third, in consequence of carrying out correspondence analysis in order to prepare image map according to cognition level on relationship index in hotel employees, the measurement item that is placed in the closest distance to the response as saying of not so very was the response as saying of "having a lunch (dinner) engagement twice or three times a week." On the other hand, the response as saying of "tending to have many acquaintances compared to coworkers" was schematized in the close distance to the response as saying of very so.

The Generation of Digital Orthophotos and Three Dimensional Models of an Urban Area from Digital Aerial Photos

  • Lee, Jin-Duk
    • Korean Journal of Geomatics
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    • 제2권2호
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    • pp.131-137
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    • 2002
  • The digital photogrammetric products have been increasingly used as an accurate foundation for representing information associated with infrastructure management. The technological advances in merging raster and vector data within the framework of GIS have allowed for the inclusion of DTMs and digital orthophotos with vector data and its associated attributes. This study addresses not only generating DEMs and digital orthophotos but producing three dimensional building models from aerial photos of an urban area by employing the digital photogrammetric technology. DEMs and digital orthophotos were automatically generated through the process of orientations, image matching and so on, and then the practical problems, which must be solved especially in applying to urban areas, were considered. The accuracy of produced digital orthophotos was derived by using check points. Also three dimensional visualization imagery, which is useful in the landform analysis, and 3D building models were produced. Digital photogrammetric products would be used widely not only as GIS framework data layers by using the GIS link function which links attribute and image information in the database for applying to infrastructure management and but as geospatial data for especially 3D GIS in urban areas.

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CIEL * C * h를 이용한 조도변화에 강인한 차선 인식 연구 (Illumination-Robust Lane Detection Algorithm using CIEL *C*h)

  • 호세;조윤지;손광훈
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2017년도 추계학술발표대회
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    • pp.891-894
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    • 2017
  • Lane detection algorithms became a key factor of advance driver assistance system (ADAS), since the rapidly increasing of high-technology in vehicles. However, one common problem of these algorithms is their performance's instability under various illumination conditions. We recognize a feasible complementation between image processing and color science to address the problem of lane marks detection on the road with different lighting conditions. We proposed a novel lane detection algorithm using the attributes of a uniform color space such as $CIEL^*C^*h$ with the implementation of image processing techniques, that lead to positive results. We applied at the final stage Clustering to make more accurate our lane mark estimation. The experimental results show the effectiveness of our method with detection rate of 91.80%. Moreover, the algorithm performs satisfactory with changes in illumination due to our process with lightness ($L^*$) and the color's property on $CIEL^*C^*h$.

한국 가면극 복식의 색채 특성과 이미지 (The Characteristics and Images of Costume Colors in Korean Masque Drama)

  • 이미숙;정경희;사진강
    • 복식
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    • 제60권4호
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    • pp.146-161
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    • 2010
  • The purpose of this study was to analyze the characteristics and images of costume colors in Korean Masque Drama. For this study, 242 color samples were selected by extracting digital color data by using the Eyedropper Tool of Photoshop 7.0. The RGB color data were transformed to HV/C and the attributes of color and tone were analyzed. Color images were analyzed with the IRI color image scale. As a result, neutral, red, purple blue, and yellow were found to be the most frequently used colors in the Korean Masque costumes. In the ton analysis, white tone showed high frequency and next orders were dp, s, v, b, sf. In the hue & tone, the most frequent color was white, followed by R(v), PB(dp), R(dp), YR(s), GY(s) and mGY. Color images were focused on dynamic, gorgeous, and natural images.

산업용 CR영상의 기하학적 데이터 분석과 의사결정나무에 의한 측정 패턴인식 (Measuring Pattern Recognition from Decision Tree and Geometric Data Analysis of Industrial CR Images)

  • 황중원;황재호
    • 전자공학회논문지CI
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    • 제45권5호
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    • pp.56-62
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    • 2008
  • 의사결정나무를 구성하여 강판튜브 비파괴평가에 사용하는 산업용 CR영상의 측정 패턴인식을 도모한다. 본래 비파괴평가는 기계학습기법에 의한 패턴식별과 그 분류에 적합한 분야이다. 의사결정나무의 속성들은 비파괴평가 테스트 절차로부터 취한다. 방사선조사 입사각, 경사도 및 거리 둥의 기하학적 특성들은 입력 영상 데이터 분석으로부터 추정한다. 이 요소들은 대상 입력을 의사결정나무에서 미리 정해진 분류에로 정확히 그리고 쉽게 분류가 이루어지도록 한다. 이 알고리즘은 비파괴평가 결과의 특성화를 간단히 하며 특성 결정을 간편하게 한다. 실험 결과는 제안한 알고리즘의 유용성을 보였다.

A Prototype Implementation for 3D Animated Anaglyph Rendering of Multi-typed Urban Features using Standard OpenGL API

  • Lee, Ki-Won
    • 대한원격탐사학회지
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    • 제23권5호
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    • pp.401-408
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    • 2007
  • Animated anaglyph is the most cost-effective method for 3D stereo visualization of virtual or actual 3D geo-based data model. Unlike 3D anaglyph scene generation using paired epipolar images, the main data sets of this study is the multi-typed 3D feature model containing 3D shaped objects, DEM and satellite imagery. For this purpose, a prototype implementation for 3D animated anaglyph using OpenGL API is carried out, and virtual 3D feature modeling is performed to demonstrate the applicability of this anaglyph approach. Although 3D features are not real objects in this stage, these can be substituted with actual 3D feature model with full texture images along all facades. Currently, it is regarded as the special viewing effect within 3D GIS application domains, because just stereo 3D viewing is a part of lots of GIS functionalities or remote sensing image processing modules. Animated anaglyph process can be linked with real-time manipulation process of 3D feature model and its database attributes in real world problem. As well, this approach of feature-based 3D animated anaglyph scheme is a bridging technology to further image-based 3D animated anaglyph rendering system, portable mobile 3D stereo viewing system or auto-stereo viewing system without glasses for multi-viewers.

A Study on the Factors Affecting Perceived Value of PB, Retailer Credibility and PB Purchase Intention

  • Min-Jung, KANG
    • 유통과학연구
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    • 제21권2호
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    • pp.103-110
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    • 2023
  • Purpose: The high-end and variety of recently released items are driving the growth of the distribution industry, which is the purpose of private brand (PB) products. Because PB shortens the distribution process and lowers marketing expenses, such as those associated with various commercials, more people will buy PB while paying lower retail prices. The goal of this study is to make the case that PB can be positioned successfully by determining the influence and direction of each individual constituent concept on how product and store attributes (perceived price, image of retail store) affect the perceived value of PB and the legitimacy of retailers. Research design, data and methodology: The gathered data were examined using PLS-SEM using Smart PLS 3.0 in order to analyze the research model of this study. Internal consistency was verified to demonstrate the measurement model's dependability, and extensive validity analysis, discriminant validity, and analysis were performed to verify the validity. Conclusion: This researcher attempted to gather diverse understandings and viewpoints on PB trends in addition to understanding the existing state of PB products. It is meant to be a unique and successful plan in the PB Brands' marketing strategy. By understanding the brand's value proposition aspects, it is hoped to determine how PB influences brand attitudes based on the findings of this study.

도심지역의 고해상도 위성영상 정합에 대한 그림자 영향 분석 (Analysis of Shadow Effect on High Resolution Satellite Image Matching in Urban Area)

  • 염준호;한유경;김용일
    • 대한공간정보학회지
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    • 제21권2호
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    • pp.93-98
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    • 2013
  • 다중 시기에 수집된 고해상도 위성영상은 효과적인 도심지 분석과 모니터링을 위한 필수적인 자료이다. 그러나 같은 지역에 대해 다른 센서에서 수집된 영상은 물론, 동일 센서 영상이라 하더라도 두 영상간의 기하학적 위치정보가 서로 일치하지 않는 문제가 존재한다. 따라서 다중 영상의 효과적인 활용을 위해서는 영상 정합을 위해 매칭 포인트를 추출하는 일이 필수적이다. 그러나 도심지의 경우 건물, 교량, 나무, 기타 인공 구조물 등의 영향으로 넓은 영역에 그림자가 분포하며 그림자의 방향과 강도는 영상 수집 시기에 따라 달라지기 때문에 정확한 매칭 포인트를 추출하는데 어려움이 있다. 본 연구에서는 대표적인 매칭점 추출 기법인 SIFT(Scale-Invariant Feature Transform) 기법과 자동 그림자 추출 기법을 적용하여 도심지역의 그림자가 영상 정합에 미치는 영향을 분석하였다. 영상 분할을 통해 생성된 세그먼트의 분광 및 공간인자를 이용하여 그림자 객체를 추출하였으며 이 때 건물 버퍼 영역을 그림자의 인접정보로서 활용하였다. SIFT 기법을 통해 추출된 매칭점이 그림자에 위치하는 경우 이를 제거하고 영상 정합을 수행하였다. 최종적으로 고해상도 위성영상의 정합에 대한 그림자의 영향을 분석하기 위해 추출된 매칭점과 정합 결과의 정확도를 정량적, 시각적으로 평가하였다.