• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.224-229
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• 2009

Digital image recognition has been used for steel bridge surface assessment since late 1990s. However, the non-uniform illumination problems such as shades, shadows, and highlights are still challenges in image processing to date. Therefore, this paper develops a new approach to tackle the non-uniform illumination problem for rust image adjustment. The inhomogeneous illumination problem is divided into shades/shadows and highlights in this paper. The proposed BEMD-morphology approach (BMA) utilizes the bidimensional empirical mode decomposition to mitigate the shade/shadow effect, and the morphological processing to detect and replace the highlight area. Finally, the rust image processed with the BMA will be segmented by the K-Means algorithm, one of the most popular and effective methods, to show the effectiveness of illumination adjustment.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.449-456
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• 2009

Image processing has been applied to steel bridge defect recognition since 1990s. Compare to human visual inspection, image processing provides a more objective and accurate way of assessment. Since shade and shadow may sometimes occur when taking bridge coating images, non-uniform illumination problems should be considered. By means of color image processing, this paper aims to mitigate the illumination effect for bridge coating assessment. Furthermore, the adaptable ellipse method (AEM) is proposed to recognize mild rust colors. Finally, AEM will be compared to the K-Means algorithm, a popular recognition method, to show its advantage.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2024년도 춘계학술발표대회
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• pp.310-313
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• 2024

Rust has gained recognition for its emphasis on and commitment to providing memory safety. However, seamlessly integrating it with Foreign Function Interfaces (FFIs) written in unsafe languages remains a significant challenge towards achieving complete memory safety. To address this challenge, researchers have proposed Foreign Function Isolation as a potential solution, leading to emergence of various approaches in this domain. This paper critically evaluates existing solutions and illuminates the gaps that need to be addressed to realize practical foreign function isolation in Rust.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.257-262
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• 2009

Image processing has been utilized for assessment of infrastructure surface coating conditions for years. However, there is no robust method to overcome the non-uniform illumination problem to date. Therefore, this paper aims to deal with non-uniform illumination problems for bridge coating assessment and to achieve automated rust intensity recognition. This paper starts with selection of the best color configuration for non-uniformly illuminated rust image segmentation. The adaptive-network-based fuzzy inference system (ANFIS) is adopted as the framework to develop the new model, the box-and-ellipse-based neuro-fuzzy approach (BENFA). Finally, the performance of BENFA is compared to the Fuzzy C-Means (FCM) method, which is often used in image recognition, to show the advantage and robustness of BENFA.

• 한국의류산업학회지
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• 제15권2호
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• pp.219-230
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• 2013

To generate future profits, luxury brands need to recognize and understand customers as individually important and analyze the impact factors that improve specific customer equity. With the growing recognition that customer equity is a key strategic asset, this study empirically investigates the effect of customer equity drivers on customer loyalty based on the study of Vogel et al.(2008) which expanded the Rust et al.(2000)'s study on customer equity. We empirically examine if the customer equity drivers have a different impact on customer loyalty. This study hypothesizes that the relative effect of customer equity drivers would be different depending on the purchasing behavior of consumers and examines the effects of them on the relationship of the drivers of customer equity and customer loyalty. We use stepwise multiple regression analysis to empirically test the relationship of value equity, brand equity, and relationship equity and customer loyalty. Relationship equity influences customer loyalty more strongly than value equity and brand equity. Customers seem to build loyalty based on the careful assessment of all costumer equity drivers (value equity, brand equity, and relationship equity). In addition, their relative impact is different depending on the purchasing behavior of consumers. A company cannot maintain all customer equity drivers at a high level with limited marketing resources; therefore, marketing investment for all customer equity drivers need to be allocated differentially depending on the purchasing behavior of consumers.

• 한국지능시스템학회논문지
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• 제26권5호
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• pp.383-389
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• 2016

본 논문은 선박의 외벽 청소를 위하여 영상기반의 용접부 인식기능을 탑재한 선체 블라시팅 로봇을 제시하였다. 본 로봇제작의 목표로서 선체 청소로봇의 설계 및 제작과정과 영상을 이용한 용접 비드 인식에 따른 성능 결과를 제시하였다. 그리고, 로봇제작에 따른 메카니즘과 로봇시스템의 제어기 제작 과정과 수직상승 메카니즘, 영상 시스템, 원격제어 기능을 갖는 선체 청소 특성에 대해서 기술하였다. 이러한 선체 청소로봇은 선박이 정박하는 동안에 청소를 수행하게 되므로 재도킹을 할 필요가 없는 장점이 있다. 따라서, 개발된 청소작업은 시간과 비용을 절감할 수 있고, 선체의 수직벽면의 주행이 가능하므로 부유물질 등을 수집할 수 있는 필러장치를 장착하고 있다. 개발된 로봇시스템의 동작 및 통신 성능테스트 결과를 통하여 성능평가 결과를 제시하였다.