• Journal of the Korean Society of Costume
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• v.66 no.1
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• pp.135-154
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• 2016

The purpose of this study is to research the characteristics and types applied to Korean and foreign luggage brands, and then develop pattern designs for the luggage by applying Korean cultural contents that meet the various fashion needs of travel goods. To select the Korean and foreign luggage brands, a web search was utilized by inputting the keyword, 'luggage brand'. The results, which were extracted from 200 web documents, produced 27 Korean brands and 29 foreign brands that met the requirements. For the data analysis, images and contents were collected through luggage brand websites, and then 927 pattern designs were extracted. The results were as follows. First, characters, figures, animals, and plants were commonly used for the pattern design motifs applied to Korean and foreign luggage. A notable trend was that these motifs were expressed in a stylistic way with a graphic touch. Also, a singular point was formed from the luggage overall, and regularly repeated patterns were very common as well. Secondly, pattern designs for luggage were developed through the application of 'Hangul', 'Hanbok', and 'Hanok'. Nine kinds of patterns were designed via the phases of change into a vector image and color adjustments, and were simulated in luggage design. Adobe Photoshop CS 7.0, and Adobe Illustrator CS 5.0 programs were used for the pattern designs and simulations. This study is meaningful in that it suggested pattern designs for different kinds of luggage in the motifs of Korean cultural contents. It can be used as a useful reference, as we are in a time period where travel goods have become individualized, advanced, and fashionable, as well as laying stress on original design based on cultural interpretation.

• The KIPS Transactions:PartB
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• v.13B no.6 s.109
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• pp.591-600
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• 2006

This paper describes the development and implementation of a algorithm to decompose word images from image regions mixed text/graphics in document images using statistical analyses. To decompose word images from image regions, the character components need to be separated from graphic components. For this process, we propose a method to separate them with an analysis of box-plot using a statistics of structural components. An accuracy of this method is not sensitive to the changes of images because the criterion of separation is defined by the statistics of components. And then the character regions are determined by analyzing a local crowdedness of the separated character components. finally, we devide the character regions into text lines and word images using projection profile analysis, gap clustering, special symbol detection, etc. The proposed system could reduce the influence resulted from the changes of images because it uses the criterion based on the statistics of image regions. Also, we made an experiment with the proposed method in document image processing system for keyword spotting and showed the necessity of studying for the proposed method.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.8 no.1
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• pp.49-61
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• 2013

Objectives: The aim of this study was to analyse the domestic trends of Chuna treatments techniques in Korean literature. Methods: We searched the clinical trials on Chuna treatments through both electronic search(used keyword 'chuna') and hand search in 3 Korean web databases(OASIS, NDSL, RISS) and 4 related journals(The Journal of Korea CHUNA Manual Medicine for Spine & Nerves, Journal of Oriental Rehabilitation Medicine, The Journal of Korean Acupuncture & Moxibustion Society, Journal of Korean Medicine Society). All relevant clinical trials were selected and extracted to be analyzed according to their published year, journals, types of study, used techniques. Results: The number of the clinical studies tends to increase every year. The studies on Chuna treatments were mainly published in The Journal of Korea Chuna Manual Medicine for Spine & Nerves. In case of types of study, case reports and case series were predominant. The most frequently adopted techniques of Chuna in studies were flexion distraction technique for lumbar spine and JS supine position cervical spine distraction. Conclusions: Through the results of this study, we hope that the more qualitative education could be conducted by strengthening the techniques which often used. Also analysis of the reason of rarely used techniques should be conducted and the modification or developing techinques should be followed as a counter measures. As applying more rigorous methodology, more qualitative evidence based Chuna studies should be conducted in future clinical research.

• Archives of design research
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• v.13 no.1
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• pp.49-58
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• 2000

This study is to implement the search system of human sensibility ergonomics in the internet shopping mall, which is a the electronic commerce in the contemporary as a shopping culture on the internet. Instead a category of business, an item, cost & size is using the keyword of a search in a existing shopping mall, the research is accomplished the center of system selecting products by the sensitivity feeling in products. The search system chooses the proper item and makes database with the sensible vocabulary for its image and then searches the item chosen by customers with keywords of the vocabulary after constructing web-server on the internet. This study - systematizes customers' sensible needs with more practical ways. - recognize the customers' sense on items and provides the applied technology conditions tor customers. - gives more opportunities of choice to customers on the internet shopping mall. - supplies various information and approaches to the customers' needs with practice.

• Journal of Korea Technology Innovation Society
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• v.16 no.2
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• pp.408-423
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• 2013

As the word 'creation and innovation' has been the keyword in success, there has been an increasing interest in TRIZ (Theory of inventive problem solving). So far, TRIZ has been applied to electronics and mechanics as the prime mover of product innovation. This study is to explore the applicability of TRIZ to the biotechnology sector, a future emerging technologies, especially to problem solving and innovative research and development. This study was focused on red ginseng processing. Problem causes and contradictions were identified with regard to processing-related problems, and 'the 40 principles of invention' were applied to problem solving. Steamed fresh ginseng is called 'Red ginseng'. Cracks in red ginseng cause the loss of active ingredients and also are not of merchantable quality. In the 40 principles of invention, applicable ones were finally selected through contradiction matrix and brainstorming, the tools of TRIZ. With experiments, effective methods were suggested to prevent red ginseng from cracking in a steaming process.

• Economic and Environmental Geology
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• v.46 no.6
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• pp.593-602
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• 2013

Biodiesel is an important new alternative transportation fuel and it can be produced by chemically reacting a fat or oil with an alcohol, in the presence of a catalyst. The product of the reaction is a mixture of methyl esters, which are known as biodiesel, and glycerol, which is a high value co-product. The process is known as transesterification. Biodiesel can be used neat and when used as a pure fuel it is known as BD100. However, it is often blended with petroleum-based diesel fuel and when this is done the blend is designated BD5 or BD20(BD20 is a blend of 20% biodiesel and 80% petroleum diesel fuel). Adherence to a quality standard is essential for proper performance of the fuel in the engine and will be necessary for widespread use of biodiesel. In this study, we analyzed 4,144 papers of biodiesel by category, country, institution, keyword etc. from 2001 to 2013 years.

• Journal of Engineering Education Research
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• v.17 no.4
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• pp.43-47
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• 2014

The rapid development of science & technology and the globalization of society have accelerated the fractionation and specialization of academic disciplines. Accordingly, Korean colleges and universities are continually dropping antiquated courses to make room for new courses that better meet societal demands. With emphasis placed on providing students with a broader range of choices in terms of course selection, compulsory courses have given way to elective courses. On average, 4 year institutions of higher learning in Korea currently offer somewhere in the neighborhood of 1,000 different courses yearly. The classification of an ever growing list of courses offered and the practical use of such data would not be possible without the aid of computers. For example, if we were able to show the pre/post requisite relationship among various courses as well as the commonalities in substance among courses, such data generated regarding the interrelationship of different courses would undoubtedly greatly benefit the students, as well as the professors, during course registration. Furthermore, the GT system's relatively simple approach to course classification and coding will obviate the need for the development of a more complicated keyword based search engine, and hopefully contribute to the standardization of the course coding scheme in the future..Therefore, as a sample case project, this study will use GT to classify and code all courses offered at the College of Engineering of K University, thereby developing a system that will facilitate the scanning of relevant courses.

• Journal of Internet Computing and Services
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• v.6 no.2
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• pp.99-115
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• 2005

Extensible Markup Language (XML) is an Internet standard that is used to express and convert data, In order to find the necessary information out of XML documents, you need a search system for XML documents, In this research, we have developed a search system that can find documents that matches the structure and content of a given XML document, making the best use of XML structure, Search metrics take account of the similarity in tag names, tag values, and the structure of tags, After a search, the system displays the ranked results in the order of aggregate similarity, Three methods of query are provided: keyword search which is conventional; search with tag names and their values; and search with XML documents, These three methods enable users to choose the method that best suits their preference, resulting in the increase of the usefulness of the system.

• Archives of design research
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• v.12 no.1
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• pp.121-130
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• 1999

The eyeS of human beings are the very interesting objects of research, which were believed to do deliver any meanings without direct words and also to represent best description of key characteristics of humans than any other parts in the body. With respect to this hypothesis on eyes, the study of various expressions of eyes is the fascinating research topic in the area of optical design which is deeply connected to the figurative images. Traditionally, physiognomy was settled by many Koreans to become one of the branches of discourses. Physiognomy has been developed through the statistical summaries of life patterns of various kinds 'of science based on the results of systematical analysis. This research was focused on elucidating the relationship between the consumers' perception and the image of eyes which were thought to be the most important sign emitted from the body of human beings. Furthermore, study was conducted to derive a practical usage from the research results if above relationship was showed to be true. It was unveiled that the considerable close relationship was established with small errors and that eye's image was compensated and enhanced with the help of lip's image to obtain more perfect image. As a result, it was concluded that the rationales of phtsiognomy could assist to choose figures as a figurative image. (Keyword)

• Journal of the Korean Data and Information Science Society
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• v.26 no.2
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• pp.367-376
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• 2015

Today, big data has become a hot keyword in that big data may be defined as collection of data sets so huge and complex that it becomes difficult to process by traditional methods. Clustering method is to identify the information in a big database by assigning a set of objects into the clusters so that the objects in the same cluster are more similar to each other clusters. The similarity measures being used in the cluster analysis may be classified into various types depending on the nature of the data. In this paper, we computed upper and lower limits for probability interestingness measure based similarity measures without marginal probability such as Yule I and II, Michael, Digby, Baulieu, and Dispersion measure. And we compared these measures by real data and simulated experiment. By Warrens (2008), Coefficients with the same quantities in the numerator and denominator, that are bounded, and are close to each other in the ordering, are likely to be more similar. Thus, results on bounds provide means of classifying various measures. Also, knowing which coefficients are similar provides insight into the stability of a given algorithm.