• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.347-355
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• 2002

전통기업의 e-Transformation을 위래서 온라인/오프라인 기업들은 새로운 비즈니스 모델 수립을 모색하고 있으며, 정부는 업종별 B2B 전자상거래 사업을 추진하는 등 부단한 노력을 하고 있다. 그러나 이러한 노력에도 불구하고, 세계적으로 B2B Marketplace들의 경영 부진 및 저조한 시장참여도 현상이 매우 심각한 것으로 나타나고 있다. 이에 국내 유통산업의 B2B현황 및 문제점을 살펴보고, 선진국의 유통산업 동향을 고려하여 국내 유통산업의 바람직한 e-Marketplace 구현 방안을 제시하고자 한다. 본 논문에서는 전자상거래 활용 및 대응을 위한 e-Marketplace의 역할 및 의의를 살펴보고, 선진유통업계의 전략적 제휴를 통한 e-Marketplace 구축 사례 분석 및 국내 유통산업 entities의 needs분석을 바탕으로 유통산업에서의 e-Marketplace 구현방안을 수립하였다. 특별히 본 논문에서는 유통산업 전자상거래 ISP에서 검토된 실질적 방안을 제시하는데 중점을 두었다.

• IE interfaces
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• v.17 no.1
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• pp.1-12
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• 2004

In a modern semiconductor device manufacturing industry, statistical bin limits on wafer level test bin data are used for minimizing value added to defective product as well as protecting end customers from potential quality and reliability excursion. Most wafer level test bin data show skewed distributions. By Monte Carlo simulation, this paper evaluates methods and sample size effect regarding determination of statistical bin limits. In the simulation, it is assumed that wafer level test bin data follow the Poisson distribution. Hence, typical shapes of the data distribution can be specified in terms of the distribution's parameter. This study examines three different methods; 1) percentile based methodology; 2) data transformation; and 3) Poisson model fitting. The mean square error is adopted as a performance measure for each simulation scenario. Then, a case study is presented. Results show that the percentile and transformation based methods give more stable statistical bin limits associated with the real dataset. However, with highly skewed distributions, the transformation based method should be used with caution in determining statistical bin limits. When the data are well fitted to a certain probability distribution, the model fitting approach can be used in the determination. As for the sample size effect, the mean square error seems to reduce exponentially according to the sample size.

• Journal of agriculture & life science
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• v.44 no.1
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• pp.9-15
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• 2010

Barley, a monocotyledonous plant, is relatively recalcitrant to the process of Agrobacterium-mediated genetic transformation. In this study, seedlings of six barley cultivars (Keunal-1-Ho, Saessal, Ol, Saechalssal, Seodunchal and Pungsanchalssal) were injured using alkali, oxidizing or reducing agents. They were then transformed using Agrobacterium via vacuum infiltration for the analysis of comparative GUS gene expression. It was determined that chemical injuries causing a slight growth retardation could overall enhance the GUS transformation rate. Hydrogen peroxide was determined to be the most effective.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.67-77
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• 2017

With the advent of the fourth industrial revolution, the digital transformation craze has intensified in diverse industries, such as finance, automotive, health care and agriculture. However, relative to industry demand, there is only few domestic research on digital transformation of small traders and no one has implemented empirical study on this field at all. Thus, the study conducted an empirical study to measure the digital transformation intention of domestic small traders. In the early days of domestic business start-ups, we searched for factors affecting the digital conversion intention of small business owners and designed an integrated framework to explain the causal relationship between factors. This study not only expanded and refined the scope of related research but also suggested the direction of another research that was not presented in previous research. However, there are limitations in many ways as much as the initial stage of a specific field of small business owners. There are limitations in explaining the overall perception of Korean small business owners. Therefore, in future studies, it is necessary to study more deeply by presenting more specific and various variables. In addition, although the number of respondents was sufficient in the process of empirical analysis, it is considered that the respondents are not enough to universalize the research result as a traditional small business person who did not convert all digital. It is necessary to carry out a comparative analysis by dividing the two groups in more detail and more specifically in the future study. The result of this study can suggest the direction for accelerating small traders' digital transformation intention in terms of practical view, and provide useful references which can support the theoretical foundation for researchers who will perform future related research in terms of academic view.

• Fashion & Textile Research Journal
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• v.17 no.2
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• pp.265-277
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• 2015

The aim of this study was to successfully reflect human body changes on the transformation of the virtual body within 3D virtual fitting spaces. For this purpose, existing problems of shape transformation of the virtual body were analyzed and regression equations which provides useful basic data for transformation of the virtual body that can be applied usefully to the 3D virtual fitting system was developed. Necessary data for the analyses were body measurement and 3D scan data of women with average physical form between the ages of 40 through 49. The reason that we used human body changes of the female subjects in their forties was based on the recognition that fundamental female body changes start to occur from age of forty. Body shapes were largely divided into 3 groups according to obesity which was found to be the biggest factor of shape change. Seven factors were extracted based on factor analysis of 47 body measurement categories and regression equations were created to extract specific measurements for each BMI group based on these seven factors. The major contribution of this paper can be summarized as follows. First, the regression equations to extract specific measurements based on the 7 representative variables remediated existing problem of virtual bodies as it increased the number of body shape transformation areas. Second, the regression equations helped to overcome the problem of current failing to reflecting changes in body cross-section shape based on simple girth measurements based on analysis of cross-section distances.

• Journal of Korea Entertainment Industry Association
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• v.15 no.7
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• pp.33-43
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• 2021

The purpose of this study is to examine the transformation and characteristics of the Verse-Chorus form. The musical form of a musical song is a structural mechanism for expression to effectively convey the dramatic situation of the characters to the audience. This study identified four types of representative forms that can be used to explore the transformation with the verse-chorus form and examined their characteristics. First is the Verse-Chorus form which repeats the description of simple situations and characters in the early stage of the musical. Second is the Verse-Bridge-Verse form which is used to evoke the atmosphere and escape boredom through a slight transformation of the bridge while explaining a simple character. Third is the Verse-Prechorus-Chorus form, which sits just before the chorus, connects the verse and the chorus, and promotes the emotional rise of the characters by smoothing the drama and the harmonic progression. Lastly, this study examined the expanded Verse-BG dialogue-Chorus form used to represent the situation in which conflicts about the complex feelings of the characters and the decisions about them coexist. As such, musical songs use various types of verse-chorus forms. Through the formality and transformation of the verse-chorus, the logic of the music and the logic of the drama are balanced so that the development of the music and the drama does not enter the state of imbalance. Based on this study, further progressive research can take place on the correlation between musical form and dramatic structure, beyond the transformation of musical song form.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.17-25
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• 2023

In this paper, we propose a lightweight deep learning architecture tailored for efficient text detection in fashion design sketch images. Given the increasing prominence of Digital Transformation in the fashion industry, there is a growing emphasis on harnessing digital tools for creating fashion design sketches. As digitization becomes more pervasive in the fashion design process, the initial stages of text detection and recognition take on pivotal roles. In this study, a lightweight network was designed by building upon existing text detection deep learning models, taking into consideration the unique characteristics of apparel design drawings. Additionally, a separately collected dataset of apparel design drawings was added to train the deep learning model. Experimental results underscore the superior performance of our proposed deep learning model, outperforming existing text detection models by approximately 20% when applied to fashion design sketch images. As a result, this paper is expected to contribute to the Digital Transformation in the field of clothing design by means of research on optimizing deep learning models and detecting specialized text information.

• Journal of Plant Biotechnology
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• v.37 no.4
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• pp.408-413
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• 2010

The paper reviewed research status and outlook of genetic transformation in fruit trees in Korea. Genetic transformation has been long considered as an alternative technique overcoming limitation of conventional breeding and conducted since early 1990's. An efficient genetic transformation was established with major cultivars of apple, even in Fuji and Gamhong, and some transgenic apple plants have been transferred into the greenhouse for further analysis of gene expression. A few successes of genetic transformation have been reported and application to a variety of cultivars tried in citrus and kiwifruit. Successful genetic transformation has not been reported in the other fruit trees including grapevine, yet and it is considered being at the level of research. Those factors including replacement of antibiotics as a selective agent, use of transgenic rootstocks and manipulation of gene expression at proper parts and developmental stages have been prerequisites for the rapid commercialization of transgenic fruit plants.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.2
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• pp.99-113
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• 2010

Beyond the rapid normalization process of patents in software industry, complex legal evolution and rigorous economic arguments underlie the crucial environmental transformation of the industry. In this article, we trace the evolutionary history for the theory and practice of patents in software industry from both legal and economic perspectives. First, we study the legal disputes and cases in light with the underpinnings of patent policy transformation, and then delve into the economic backrounds of the pros and cons for software patents, with special focus on the generic economic peculiarities of software industry. The fact that historical and practical policy and law in Korea have been largely affected from those of USA, and relative deficiency in the law, economics and management literature are the main motivation of the study, and we hope this study to contribute to the decision making of policymakers as well as law and business practitioners.

• Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
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• 2010.04a
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• pp.79-92
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• 2010

In the presence of laccase, generation of monomeric aromatic acids from nonphenolic lignin model dimer veratrylglycerol-$\beta$-vanillate ether (VVE) was observed. The addition of acetovanillone (AV) or acetosyringone (AS) intensified this process, i.e. transformation was more extensive than in the experiments omitting mediators. Among the products isovanillic (IA) and vanillic (VA) acids were identified.