• The Research Journal of the Costume Culture
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• v.27 no.1
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• pp.20-32
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• 2019

This study examined whether and how consumers who seek a bargain in their shopping for luxury fashion brands differ from traditional luxury consumers or non-luxury consumers on their market-related attitudes. To do so, this study compared multi-dimensional perceived values, fairness price perceptions, satisfaction with purchase, brand loyalty, and future purchase intention among luxury consumers, luxury-bargain seekers, and non-luxury consumers. Data was obtained from online surveys and the market-related attitudes were compared using an ANOVA test. The comparion of three types of consumers revealed that luxury-bargain seekers and regular luxury consumers are distinct consumer markets. Overall, luxury consumers displayed high perceived values and brand loyalty and were fairly satisfied with the purchase at full-prices. On the other hand, luxury-bargain seekers showed significantly low perceived social value, perceived fairness toward the original price of the brands, and brand loyalty. They were satisfied with the bargain purchase but not likely to purchase the luxury at full-prices in the future. Understanding these distinct types of consumers and targeting them with different product and pricing strategies are important for luxury brands and retailers to expand luxury consumer base without diluting their brands' prestige image. Potential marketing strategies based on the findings of this study were suggested.

• Journal of the Korea Fashion and Costume Design Association
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• v.22 no.4
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• pp.17-24
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• 2020

Storytelling, a medium that arouses the customers' purchasing need by playing on their emotions, is the best content that can be used as it can increase the value of goods using information. This paper's significance is that it suggests cultural products that can be used by using Baeke relic Jinmyosu (Guard Animals) as a motif. The purpose was to present the possibility of high value-added cultural products using storytelling techniques. This study developed storytelling by adding the meaning of Jinmyo and Beoksa, who calm protected their masters from evil forces with horns and wings, and has the meaning of ascending into heaven and guiding the soul on the right path. That image gives a glimpse of originality and differentiation to Baekje. This study proposed 4 cultural products as 'Keeper Stone Mason' and 4 'Stone Mason Teller.' The proposed cultural products can help to give correct awareness of Baekje culture through a correct understanding of the historical significance of the Baeke relic, Jinmyosu. Moreover, it will help promote the originality and excellence of Baekje culture around the world by enhancing the value of Baekje culture. This study is expected to be used as a guideline for further research on developing cultural products that can create added value in various fields.

• Journal of Korea Multimedia Society
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• v.24 no.1
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• pp.146-154
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• 2021

Conspicuous consumption is often investigated in Korea and consumers purchase a product to publicly display economic power or social status. The existing studies argue that brand loyalty and luxury brand preferences escalate conspicuous consumption, and it is important to identify different visual perception to understand irrational consumers' behavior. Car emblem as brands' visual identity represents the brand's image, mission and message. Irrational consumers thus are expected have different visual perception to the emblem or logo. To understand the impact of irrational consumer behavior on visual perception, this study explored how brand loyalty and luxury brand preferences impact on the visual perception of car emblems between Korean domestic brand and imported brand. This study used eye tracking technology to measure the respondents' attention on an emblem of the cars. Eye tracking tools analyze fixations and measure the attention on a specific area of interests (AOI). This study explored the maintaining time and frequency on AOI, as well as explored the size of pupil to identify the respondents' attention on the AOI. In this experiment, the logos of domestic cars (i.e., Hyundai and Kia) and foreign cars (i.e., Mercedes-Benz and BMW) were swapped to see how irrational consumer behavior impact on visual perception of car emblem.

• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1343-1358
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• 2020

In the stagewise arithmetic orthogonal matching pursuit algorithm, the weak threshold used in sparsity estimation is determined via maximum iterations. Different maximum iterations correspond to different thresholds and affect the performance of the algorithm. To solve this problem, we propose an improved variable weak threshold based on the stagewise arithmetic orthogonal matching pursuit algorithm. Our proposed algorithm uses the residual error value to control the weak threshold. When the residual value decreases, the threshold value continuously increases, so that the atoms contained in the atomic set are closer to the real sparsity value, making it possible to improve the reconstruction accuracy. In addition, we improved the generalized Jaccard coefficient in order to replace the inner product method that is used in the stagewise arithmetic orthogonal matching pursuit algorithm. Our proposed algorithm uses the covariance to replace the joint expectation for two variables based on the generalized Jaccard coefficient. The improved generalized Jaccard coefficient can be used to generate a more accurate calculation of the correlation between the measurement matrixes. In addition, the residual is more accurate, which can reduce the possibility of selecting the wrong atoms. We demonstrate using simulations that the proposed algorithm produces a better reconstruction result in the reconstruction of a one-dimensional signal and two-dimensional image signal.

• Korean Journal of Organic Agriculture
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• v.29 no.3
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• pp.333-358
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• 2021

This study investigates consumers' purchasing behavior and perception of the low-carbon certificated agricultural product. To this end, we surveyed 1,000 consumers and the main findings are as follows. First, Even after six years of national certification, it is important to promote the low-carbon certification system due to insufficient awareness and purchase experience. Second, the certificated area is small at around 5% of the area of environment-friendly agricultural products and GAP certification, and certification is concentrated on fruit trees. Third, an appropriate level of high-priced strategy can be useful considering the cost of low-carbon certification, image management of low-carbon certificated agricultural products, and quality is the most important factor for consumers to consider when purchasing fresh agricultural products. Fourth, consumers recognized that the contribution of low carbon certification in reducing greenhouse gas emissions and preserving the environment was higher than that of environment-friendly agricultural products or GAP certification. Considering that, promotional activities linked to environment-friendly agricultural products and GAP certification may be effective when promoting low-carbon certification. Finally, the Ministry of Agriculture, Food and Rural Affairs is implementing a carbon point system linked to Green Card to revitalize low carbon certification, but 25.7% of consumers are aware of it, and 8.4% have little experience in issuing it.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.409-415
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• 2022

In computer vision, an image of a measurement target is acquired using a camera. And feature values, vectors, and regions are detected by applying algorithms and library functions. The detected data is calculated and analyzed in various forms depending on the purpose of use. Computer vision is being used in various places, especially in the field of automatically recognizing automobile parts or measuring the quality. Computer vision is being used as the term machine vision in the industrial field, and it is connected with artificial intelligence to judge product quality or predict results. In this study, a vision system for judging the quality of automobile parts was built, and the results were compared by applying five machine learning classification models to the produced data.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.109-120
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• 2022

This study has incorporated the mechanics-dynamics-emotions (MDE) and two behavioral learning paths to investigate the customers' co-creation behavior in Taiwan. The intuitive path begins with a gamification design that reflects the customers' proactive and innovative behavior; the cognitive path begins with persuasion knowledge remarks based on rational and reactive reasoning. These two paths conclude what forms user co-creation. The study collects data of 505 active social media users in Taiwan and employs structural equation modeling. The empirical findings demonstrate persuasive knowledge and gamification design are significantly associated with self-reference, and in turn, positively associated with co-creation. It indicates that cognitive behavior plays the main role in forming co-creation. Participants are more drawn to co-creation behaviors by the marketing contents that prompt reactive behaviors than proactive ones. Therefore, marketing managers can use appropriate stimuli to enhance co-creation behavior. Companies can design activities related to users, and more accessible for reactive, instead of proactive behavior, i.e., asking for their initiatives. It also suggests that companies' marketing campaigns should involve key opinion leaders matching the product image and the target audience's preferences. The novelty of this study is to introduce a novel augmented MDE framework to extend the "dynamics" into the incubation and implementation stage.

• Smart Structures and Systems
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• v.30 no.2
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• pp.145-157
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• 2022

The design of safe and economical structures depends on the reliable live load from load survey. Live load surveys are traditionally conducted by randomly selecting rooms and weighing each item on-site, a method that has problems of low efficiency, high cost, and long cycle time. This paper proposes a deep learning-based method combined with Internet big data to perform live load surveys. The proposed survey method utilizes multi-source heterogeneous data, such as images, voice, and product identification, to obtain the live load without weighing each item through object detection, web crawler, and speech recognition. The indoor objects and face detection models are first developed based on fine-tuning the YOLOv3 algorithm to detect target objects and obtain the number of people in a room, respectively. Each detection model is evaluated using the independent testing set. Then web crawler frameworks with keyword and image retrieval are established to extract the weight information of detected objects from Internet big data. The live load in a room is derived by combining the weight and number of items and people. To verify the feasibility of the proposed survey method, a live load survey is carried out for a meeting room. The results show that, compared with the traditional method of sampling and weighing, the proposed method could perform efficient and convenient live load surveys and represents a new load research paradigm.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.2
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• pp.17-22
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• 2010

Establishment of systematic platform is needed for technological progress of receiving of satellite image data with high quality and processing system for product generation and operation related with direct receiving system for satellite from abroad. Besides, it's necessary to develop the integrated data processing system to prohibit similar functions on developing (or being developed) for KOMPSAT-3, KOMPSAT-5 and to operate system efficiently. Therefore, conceptual design of the integrated data processing system is performed considering commercialization of KOMPSAT(Korea Multi-Purpose Satellite) series based on KOMPSAT-2 IRPE on operation in this paper.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.945-962
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• 2022

This study examines the use of traditional patterns by new Hanbok brands. A Saekdong print pattern based on previous research was developed and applied to clothing designs. A total of 488 images of printed products from the seven new Hanbok brands and 219 images from the collections of the National Folk Museum of Korea were analyzed. Traditional patterns accounted for 47.4% of the total printed products of the new Hanbok designs, with the following ratio of use, in descending order: flower patterns, traditional paintings, animals, geometrical designs, Dancheong, text and others, Jogakbo, and Saekdong. Saekdong was found in three brand products, and the color or shape was modified. To develop the Saekdong image, five colors - red, yellow, blue, white, and green - were selected. The ratio of use for each color and the width of each color were determined with reference to previous studies. The average color value was determined through color analysis of the Saekdong collections. A total of seven items were designed for the print pattern, and four items were added for coordination to consist of four styles. This study aims to use the results of this analysis to provide insights into product development using traditional patterns.