• Journal of Fashion Business
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• v.21 no.6
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• pp.1-15
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• 2017

This study examines the various responses of Chinese consumers, depending on the nationality of the fashion advertising model featured in an advertisement; it explores the effects of a congruence between self-image and advertising image (CSIAI) on consumer attitudes. This study was conducted by collecting data online; 200 samples selecting a Korean model and 200 samples selecting a Chinese model with a fashion brand were analyzed. A structural equation model confirms the conceptual framework for the influence of CSIAI on consumer attitudes and purchase intentions. The results show that the perceived CSIAI of consumers positively influences their attitude toward the advertising and the brand, and further, that advertising and brand attitudes significantly affect the purchase intention of consumers. This positive relationship is moderated by the nationality of the model. These findings suggest that the nationality of the model can serve as an important retail mix for global marketers. Other results and management implications are also discussed.

• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1331-1346
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• 2018

Aiming at the problem that the gradient-based edge detection operators are sensitive to the noise, causing the pseudo edges, a triqubit-state measurement-based edge detection algorithm is presented in this paper. Combing the image local and global structure information, the triqubit superposition states are used to represent the pixel features, so as to locate the image edge. Our algorithm consists of three steps. Firstly, the improved partial differential method is used to smooth the defect image. Secondly, the triqubit-state is characterized by three elements of the pixel saliency, edge statistical characteristics and gray scale contrast to achieve the defect image from the gray space to the quantum space mapping. Thirdly, the edge image is outputted according to the quantum measurement, local gradient maximization and neighborhood chain code searching. Compared with other methods, the simulation experiments indicate that our algorithm has less pseudo edges and higher edge detection accuracy.

• Journal of Korea Trade
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• v.25 no.2
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• pp.178-195
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• 2021

Purpose - This study aims to analyze consumer in the multidimensional aspect of a combination of corporate image and brand personality in order to identify the structural causal relationship between consumer choice and corporate image and brand personality. Design/methodology - This study combined theoretical literature studies with empirical field studies using questionnaire survey methods. To achieve this objective, a hypothetical causal model consisting of three potential variables and nine measurement variables was created based on prior research, and a structural equation model was used to identify the suitability of the model. Findings - The hypothetical model established by this study was judged to be generally appropriate. In particular, corporate image was shown to have significant static direct effects on consumer choice and brand personality. It was also shown that brand personality had a direct static effect on consumer choice, and that corporate image has an indirect significant impact on consumer choice by moderating brand personality. Originality/value - Previous papers have mainly focused on one-dimensional studies of various images, such as companies and brands. However, this paper used a model that analyzed consumer choice through multi-clue information rather than corporate images as the only clue to consumer choice.

• The Research Journal of the Costume Culture
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• v.6 no.4
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• pp.188-202
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• 1998

The purpose of this study is to analyze how future images are embodied in contemporary fashion design. To find out future images expressed in contemporary fashion design, this paper characterized the future society as information society, network society, pluralistic society, and global village. Cyber design and techno-style expressed through metal or lustrous material which is influenced by information symbolize future image. Also, minimalism which is characterized as simplicity and purity affects the contemporary fashion design. The network society which affets t the horizontal and functional social system diminishes the meaning of socio-economic status. Therefore, street fashion has diffused to high fashion, and the formal wear has tendency to be changed into casual wear. In addition, the meaning of status symbol in contemporary fashion design become decreased. The pluralistic society affects to search for one's own personality and identity. Also, contemporary fashion design is influenced by post-modernism and deconstructionism. In order words, genderless, ageles, seasonless, and infra fashion appeared. The global village emphasizes extension of universality in life style and search for world quality. so, ethnic fashions appear frequently in contemporary fashion design. Also, the effects of Korean traditional costume to contemporary fashion design has increased.

• Proceedings of the Korean Geotechical Society Conference
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• 2000.03b
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• pp.297-302
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• 2000

This paper reports the application of GPS (Global Positioning System) technique into the geotechnical information system. Typical example of such application can be the database of logging data. Other examples can be found from the surveying for road work, excavation work, landslide mapping and image processing of slope face. This paper also reports the enhancement method of the accuracy. The results from this study confirms that GPS could be a powerful tool for the future geotechnical investigation works in Korea.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.908-911
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• 2004

In this paper, we describe a robust image processing algorithm to recognize the road lane in real-time. For the real-time processing, a detection area is decided by a lane segment of a previous frame and edges are detected on the basis of the lane width. For the robust driving, the global threshold with the Otsu algorithm is used to get a binary image in a frame. Therefore, reliable edges are obtained from the algorithms suggested in this paper in a short time. Lastly, the lane segment is found by hough transform. We made a RC(Radio Control) car equipped with a vision system and verified these algorithms using the RC Car.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.18 no.3
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• pp.225-244
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• 2014

In this work, we discuss segmentation algorithms based on the level set method that incorporates shape prior knowledge. Fundamental segmentation models fail to segment desirable objects from a background when the objects are occluded by others or missing parts of their whole. To overcome these difficulties, we incorporate shape prior knowledge into a new segmentation energy that, uses global and local image information to construct the energy functional. This method improves upon other methods found in the literature and segments images with intensity inhomogeneity, even when images have missing or misleading information due to occlusions, noise, or low-contrast. We consider the case when the shape prior is placed exactly at the locations of the desired objects and the case when the shape prior is placed at arbitrary locations. We test our methods on various images and compare them to other existing methods. Experimental results show that our methods are not only accurate and computationally efficient, but faster than existing methods as well.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.2
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• pp.101-108
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• 2015

In this paper, a robust traffic light detection method is proposed by using vision sensor and DGPS(Difference Global Positioning System). The conventional vision-based detection methods are very sensitive to illumination change, for instance, low visibility at night time or highly reflection by bright light. To solve these limitations in visual sensor, DGPS is incorporated to determine the location and shape of traffic lights which are available from traffic light database. Furthermore the geometric relationship between traffic light and vision sensor is used to locate the traffic light in the image by using DGPS information. The empirical results show that the proposed method improves by 51% in detection rate for night time with marginal improvement in daytime environment.

• Journal of the Korea Society of Computer and Information
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• v.20 no.7
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• pp.17-24
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• 2015

In this paper, we propose a method to solve ghosting problem. To generate adaptive background, using an exponentially decreasing number of frames, may improve object detection performance. To extract moving objects from the background by using a differential image, detection error may be caused by object rotations or environmental changes. A ghosting problem can be issue-driven when there are outdoor environmental changes and moving objects. We studied that a differential image by adaptive background may reduce the ghosting problem. In experimental results, we test that our method can solve the ghosting problem.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.90-93
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• 2013

This paper presents a multistage adaptive thresholding method and circular Hough transform for pupil detection. Multistage adaptive thresholding is a thresholding method that applies local image statistic within a neighborhood variable and the global thresholds. Therefore, the method can adopt the benefit of local thresholding and prevent an over segmentation at the same time because of the global image information. To detect a pupil, a circular Hough transform is applied to it in which the pupil pattern is considered as a circle shape. The experimental results show the reliability of our proposed method in detecting pupil properly.