• Journal of the Korean Society of Food Culture
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• v.31 no.6
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• pp.515-540
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• 2016

This study investigated the characteristics of main house food cultures in Gyeonggi-do using a case study on the head family. The subject of this study was selected through an advisory committee of experts; it incorporated intangible and tangible elements of the main family based on relevant data. Selected representative main house of Gyeonggi-do had 12 parts in total. The entire investigation was conducted in five parts; literature search, telephone survey, in-depth interviews, inheritance food research of the head family, and cuisine demonstrations. Twelve families within the researched family clan had members of high merit or scholarly reputation qualified enough to serve bulcheonwi, a form of important religious worship. Food in Gyeonggi-do, specifically, can be served for Bongjesa jeopbingaek, which is a combination of performance of ancestral rites and greeting guests. Meat ingredients were frequently used. Articles of clothing were colorful and vivid, with wootgi that needed lots of work. Soup and steamed dishes tended to favor simple but fresh tastes that come with their cultural and historical context.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.3
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• pp.175-184
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• 2008

To construct user profiles automatically, an extraction method for representative keywords from a set of documents is needed. In our previous works, we suggested such a method and showed its usefulness. Here, we apply it to the classification problem and observe how much it contributes to performance improvement. The method can be used as a linear document classifier with few modifications. So, we first evaluate its performance for that case. The method is also applicable to some non-linear classification methods such as GIS (Generalized Instance Set). In GIS algorithm, generalized instances are built from training documents by a generalization function and then the K-NN algorithm is applied to them, where the method can be used as a generalization function. For comparative works, two famous linear classification methods, Rocchio and Widrow-Hoff algorithms, are also used. Experimental results show that our method is better than the others for the case that only positive documents are considered, but not when negative documents are considered together.

• Earthquakes and Structures
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• v.9 no.2
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• pp.321-337
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• 2015

Existing building structures can easily present material mechanical properties which can largely vary even within a single structure. The current European Technical Code, Eurocode 8, does not provide specific instructions to account for high variability in mechanical properties. As a consequence of the high strength variability, at the occurrence of seismic events, the structure may evidence unexpected phenomena, like torsional effects, with larger experienced deformations and, in turn, with reduced seismic performance. This work is focused on the reduction in seismic performance due to the concrete strength variability. The analysis has been performed on a case-study, i.e., a 3D RC framed 4 storey building. A Normal distribution, compatible to a large available database, has been taken to represent the concrete strength domain. Different plan layouts, representative of realistic strength distributions, have been considered, and a statistical analysis has been performed on the induced reduction in seismic performance. The obtained results have been compared to the standard analysis as provided by Eurocode 8 for existing buildings. The comparison has shown that the Eurocode 8 provisions are not conservative for existing buildings having a large variability in concrete strength.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.435-441
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• 2021

In recent years, with thedevelopment of digital media technology immersive experiential exhibitions that provide realistic and realistic exhibition experiences to the audience are increasing In this study, the representative cases of these immersiveexperiential exhibitions were analyzed with a focus on the elements of the exhibition design. We also introduced the exhibition case of 'A Hero's Adventure' which was held and operated by applying game design elements to thethe directing planning of an immersive experience exhibition. In addition, the effects and utilization methods of the exhibition that applied game planning elements such as challenges goals conflicts rules and wins and losses were considered.

• East Asian Journal of Business Economics (EAJBE)
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• v.9 no.4
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• pp.69-80
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• 2021

Purpose - This study investigated the development process of the Chinese distribution industry and analyzed the current status of China's offline and online distribution industries under the development process of the Chinese distribution industry. In addition, the current status of offline distributors in China and representative companies were analyzed as case studies. Research design, data, and methodology - This study analyzed the overall environment of the Chinese distribution industry by using literature data. Then, this study conducted a case analysis using RT Mart and Jingdong, major companies in the distribution industry. Result -The main research results of this study show that the Chinese distribution market has already matured, and retailers are fiercely competing to secure sales and operating profits through various methods such as finding new management methods, improving awareness and customer loyalty by expanding the number of stores. Conclusion -Recently, the characteristic of China's distribution industry is that the boundaries of distribution are breaking down. Chinese retailers are taking strategies to expand the scope of services by erasing the boundaries of distribution. In other words, distribution companies are promoting a borderless distribution strategy in which consumers purchase products online and offline without restrictions on time and space. In addition, small stores in residential areas are on the rise compared to large-scale stores in the city center. The existing distribution industry operates various types of distribution stores to prepare for the post-COVID-19 crisis.

• Journal of Korea Multimedia Society
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• v.21 no.11
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• pp.1333-1341
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• 2018

Recently, alleys, villages and traditional market spaces have been recreated as complex cultural spaces due to urban renewal or village community policies. However, previous studies only refer to buildings such as museums and libraries in dealing with complex cultural spaces. The purpose of this study is to suggest the recreated complex cultural space as a natural convergence type and analyze its characteristics. Therefore, this study aims to reestablish the concept and type of the newly created complex cultural space. For this study, Busan Bosu-dong Bookstores Alley, Daegu Kim Gwangseok-street, Andong Traditional Market and Andong Shin-sedong Mural Village were selected as research examples. As a result of the study, the natural convergence space reflects the locality of the contents constituting the space, and the various values are convergenced. And this type of space is being reborn as an advanced case of urban regeneration and serves as a representative tourist destination in the region. As a next study of this study, we proposed social studies such as quantitative research and qualitative research.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.2
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• pp.36-42
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• 2021

This paper deals with a vehicle routing problem with resource repositioning (VRPRR) which is a variation of well-known vehicle routing problem with pickup and delivery (VRPPD). VRPRR in which static repositioning of public bikes is a representative case, can be defined as a multi-objective optimization problem aiming at minimizing both transportation cost and the amount of unmet demand. To obtain Pareto sets for the problem, famous multi-objective optimization algorithms such as Strength Pareto Evolutionary Algorithm 2 (SPEA2) can be applied. In addition, a linear combination of two objective functions with weights can be exploited to generate Pareto sets. By varying weight values in the combined single objective function, a set of solutions is created. Experiments accomplished with a standard benchmark problem sets show that Variable Neighborhood Search (VNS) applied to solve a number of single objective function outperforms SPEA2. All generated solutions from SPEA2 are completely dominated by a set of VNS solutions. It seems that local optimization technique inherent in VNS makes it possible to generate near optimal solutions for the single objective function. Also, it shows that trade-off between the number of solutions in Pareto set and the computation time should be considered to obtain good solutions effectively in case of linearly combined single objective function.

• East Asian Journal of Business Economics (EAJBE)
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• v.9 no.1
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• pp.1-16
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• 2021

Purpose - This study aims to analyze 7-Eleven's specific competitive advantage strategy according to changes in the Japanese convenience store industry by selecting 7-Eleven, a leading company in the Japanese convenience store industry, as a representative case study. Research design, data, and methodology - Due to the current COVID-19 situation, fact-finding such as interviews with key managers through visiting surveys was not possible, so this case study was carried out based on the literature such as official and unofficial data collected from the companies through e-mail and articles that have been published outside. Result - As a result of the analysis, the researcher found that five competing strategy factors, such as dominant strategy, innovative logistics system strategy, information system development strategy, joint product development strategy, and direct communication strategy have closely maintained the mutual relation to form a combined strategy focusing on the franchise development strategy. Conclusion - The competitive advantage of 7-Eleven is thought to have secured its competitive advantage by combining the five competitive strategies complementarily for rapid response to change, cost advantage, and differentiated advantage. The management implications specified in this study can be considered a reference for establishing a competitive strategy for sustainable growth of the convenience store industry in the fierce competition and saturated market environment of Korean convenience stores.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.1
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• pp.109-115
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• 2021

The number of freshmen at universities is decreasing due to the recent decline in the school-age population, and the survival of many universities is threatened. To overcome this situation, universities are seeking ways to use big data within the school to improve the quality of education. A study on the prediction of dropout students is a representative case of using big data in universities. The dropout prediction can prepare a systematic management plan by identifying students who will drop out of school due to reasons such as dropout or expulsion. In the case of actual on-campus data, a large number of missing values are included because it is collected and managed by various departments. For this reason, it is necessary to construct a model by effectively reflecting the missing values. In this study, we propose a university student dropout prediction model based on eXtreme Gradient Boost that can be applied to data with many missing values and shows high performance. In order to examine the practical applicability of the proposed model, an experiment was performed using data from C University in Chungbuk. As a result of the experiment, the prediction performance of the proposed model was found to be excellent. The management strategy of dropout students can be established through the prediction results of the model proposed in this paper.

• Journal of Fashion Business
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• v.27 no.5
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• pp.135-145
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• 2023

The purpose of this paper is to develop a workwear design framework that can be applied in workwear design. A general explorationstudy was conducted onworkwear concepts and market research to understand the importance and growth potential of workwear. Subsequently, representative brands specializing in workwear are selected, and a case analysis of workwear is conducted with a focus on jackets, pants, and overall items. As a result, four key characteristics of workwear are derived: Ergonomic Pattern-making, Certified Fabric, Specialized Color, and Customized Details. To present a model that considers the functional, expressive,and aesthetic aspects of workwear simultaneously, the 'Function Express Aesthetic' (FEA) model is utilized as the foundation. The 12 derived elements in the newly developed framework combine these four characteristics with three aspects (functional, expressive, and aesthetic), allowing for comprehensive consideration and validation of workwear conditions. The new framework will be used in subsequent research for developing workwear prototypes and is expected to enhanceworkwear production by employing a systematic approach during the design ideation and evaluation stages. By effectively integrating functional aspects with expressive-aesthetic values centered on the functionality of workwear products, this framework will provide.