• Journal of the Korean association of regional geographers
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• v.18 no.4
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• pp.388-399
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• 2012

Jinju City has been often called as the largest agglomeration of the silk industry in Korea. However Jinju's silk industry has experienced a continuous decline in employment and to production outputs after the late 1980s. This paper aims to explore innovation capacities of Jinju's silk industry and evaluate the government policy to promote the competitiveness of the silk industry in Jinju. The main findings are as follows. First, the survey shows that the major sources of innovation tend to come from customer firms in the Capital area and the innovation supporting agency and universities in Jinju City. Second, local silk production firms tend to by and large evaluate that the industrial policy projects to promote the competitiveness of Jinju's silk industry have been successful, particularly in terms of a joint branding project and the marketing support program.

• Land and Housing Review
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• v.9 no.2
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• pp.33-40
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• 2018

Korea seems to have introduced the legal basis for supporting and revitalizing the 6th industry since about 2010. Problems such as lack of systematic support system, inadequacy of cooperation and cooperation between ministries, and poor efficiency have been raised. Also, there is a lack of information on the designation, development method, participant, and management plan of the 6th industrial complex. In this study, we review prior researches and cases related to the 6th industry and examine how to efficiently create the 6th industry-specific complex by analyzing the requirements of customers for the enterprises, residents, professionals and officials of the metropolitan area and non-metropolitan areas. As a result of the questionnaire survey, some suggestions for the establishment of the 6th industry specialization complex were drawn. First, 77.5% of the total requires a combination of public and mixed use, which can be expected to have positive effects such as sharing development gains with local residents and improving resettlement of local residents. Second, the 6th industrial complex should be harmonized with the 1st, 2nd and 3rd industries. However, unlike the standardized land use plan of existing industrial complex, it is necessary to expand the distribution and sales space to reflect the demand for tertiary industry. It is also necessary to consider measures for securing primary industrial sites or securing primary industrial sites through external procurement. Third, it is necessary to establish and operate a plan reflecting rent and rental demand after leasing for a certain period.

• Journal of the Economic Geographical Society of Korea
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• v.10 no.3
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• pp.263-280
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• 2007

Recently, many cities and regions of the world attempt to promote cultural and arts activities in order to vitalize regional economies and strengthen local identity. Some old industrial cities of the advanced economies in particular often introduce cultural and arts activities in renovating obsolete urban infra-structure, revitalize urban economy, clean polluted urban environment, and advertise various development projects. A small Canadian city, Stratford, Ontario, has shown a spectacular success in such efforts. By hosting Shakespearian festivals every year since 1953, the theatre company, the Shakespearian Festival of Canada in Stratford, sells about 600 thousands tickets, attracting 2 million visitors to the area. With the festivals, the city became able to host a large cultural cluster composed of the theatre company, chef school, summer music festival, and Chicago Associates. The city has also able to maintain one of the most competent theatre companies in the North America.

• Journal of the Korean Geographical Society
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• v.40 no.1 s.106
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• pp.78-95
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• 2005

The purpose of this paper is to analyze industrial and innovation networks of long-live area of Honam Region and to suggest a policy direction for regional development of rural areas where have been neglected in the knowledge-based information society. Four counties (Sunchang, Damyang, Gokseong, and Gurye) in the Southwestern region of Korea are regarded as long-live belt of Korea. Production and innovation networks :Ire analyzed based on intensive surveys of firms in the belt. Major findings from the surveys are as follows. First, there are considerably strong local networks of production firms in terms of supply of input materials and labor. There are strong backward industrial linkages of the production firms with agricultural activities and considerable forward linkages with tourism industry. In addition, Internet is becoming a useful tool for sales of the new products. Second, the analysis of the innovation networks in the long-live area suggests the development of 'virtual innovation cluster' in the era of knowledge-based information society. The results imply that this innovation networks can be developed as a virtual innovation cluster in the rural areas, which can be the basis for the development of rural innovation systems.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3740-3746
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• 2010

Jeju soybean industry is not competitive in areas of food-safety, quality, price, and bargaining power. Also, the processing products of soybean are simply-processed product. They are short of diversified product. The size of processing company is very small. The purpose of this study is to review and suggest programs for the construction and management of a network among farmhouseholds, agricultural cooperatives, manufacturing companies, related research institutes, and the local government, which are integrated vertically, horizontally and systematically. Jeju soybean cluster consists of production system, research & development system, industrial-support system, practical technology-support system, and center of operation. This system will help farmers get stable sales market & income. Also, It will help farmers produce the production of environment-friendly agricultural raw products.

• The KIPS Transactions:PartB
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• v.14B no.1 s.111
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• pp.59-64
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• 2007

In these days, malicious codes have become reality and evolved significantly to become one of the greatest threats to the modern society where important information is stored, processed, and accessed through the internet and the computers. Computer virus is a common type of malicious codes. The standard techniques in anti-virus industry is still based on signatures matching. The detection mechanism searches for a signature pattern that identifies a particular virus or stain of viruses. Though more accurate in detecting known viruses, the technique falls short for detecting new or unknown viruses for which no identifying patterns present. To cope with this problem, anti-virus software has to incorporate the learning mechanism and heuristic. In this paper, we propose a fuzzy diagnosis system(FDS) using fuzzy c-means algorithm(FCM) for the cluster analysis and a decision status measure for giving a diagnosis. We compare proposed system FDS to three well known classifiers-KNN, RF, SVM. Experimental results show that the proposed approach can detect unknown viruses effectively.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.447-454
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• 2001

The automatic document classification is a method that assigns unlabeled documents to the existing classes. The automatic document classification can be applied to a classification of news group articles, a classification of web documents, showing more precise results of Information Retrieval using a learning of users. In this paper, we use the weighted Bayesian classifier that weights with keywords of a document to improve the classification accuracy. If the system cant classify a document properly because of the lack of the number of words as the feature of a document, it uses relevance word cluster to supplement the feature of a document. The clusters are made by the automatic word clustering from the corpus. As the result, the proposed system outperformed existing classification system in the classification accuracy on Korean documents.

• Journal of Sensor Science and Technology
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• v.29 no.4
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• pp.255-260
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• 2020

In this study, we developed a method of improving the surface-enhanced Raman spectroscopy (SERS) response characteristics by depositing a nanoporous Ag metal thin film through cluster source sputtering after forming a pyramidal texture structure on the Si substrate surface. A reactive ion etching (RIE) system with a metal mesh inside the system was used to form a pyramidal texture structure on the Si surface without following a complicated photolithography process, unlike in case of the conventional RIE system. The size of the texture structure increased with the RIE process time. However, after a process time of 60 min, the size of the structure did not increase but tended to saturate. When the RF power increased from 200 to 250 W, the size of the pyramidal texture structure increased from 0.45 to 0.8 ㎛. The SERS response characteristics were measured by depositing approximately 1.5 ㎛ of nanoporous Ag metal thin film through cluster sputtering on the formed texture structure by varying the RIE process conditions. The Raman signal strength of the nanoporous Ag metal thin film deposited on the Si substrate with the texture structure was higher than that deposited on the general silicon substrate by up to 19%. The Raman response characteristics were influenced by the pyramid size and the number of pyramids per unit area but appeared to be influenced more by the number of pyramids per unit area. Therefore, further studies are required in this regard.

• Fashion & Textile Research Journal
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• v.18 no.5
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• pp.606-616
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• 2016

We intend an empirical assessment of examining the differences in the appearance management behaviors and demographic variables among groups classified by the clothing consumption values. The questionnaires are administered to 493 female and male adults above 20 years old in Seoul, Gyeonggi-do, Daegu and Kyungpook regions. For analysis of data from 478 respondents, descriptive statistics, cluster analysis, Cronbach's ${\alpha}$, ANOVA, Duncan test and ${\chi}^2$ test were applied. We show the following results. First, Factor analyses were employed for the clothing consumption values and appearance management behaviors. Six factors were for clothing consumption values: Individuality, appearance attractive, social, functional, conditional and fashion clothing consumption value. Four factors were for appearance management behaviors: weight training, skin care, hair care, make-up and clothing selection. According to clothing consumption values, four groups were classified: the passive, functional, social, and active group. We did cluster analysis to the appearance management behaviors of weight training, skin care, hair care, make-up and clothing selection. Second, the social and active groups were more interested in individuality, appearance attractive, social, functional, conditional and fashion clothing value. And they were also more involved in appearance management behaviors. Third, among the demographic variables, the single and female in 20s and 30s with higher level of education belonged to the active group. In this contribution, we find significant differences in the appearance management behavior and demographic variables classified by the clothing consumption values.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.2
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• pp.282-297
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• 1996

The effective construction for ready-made clothes is one of the central concerns of both consumers and manufactuers in today's apparel industry. In order to reduce the burden of stocks and increase clothing fitness, systematic information on typical body sizes and somatotypes is essential. The purpose of this study i-: to provide basic data on young women's somatotypes for form designers and pattern makers. The subjects of the survey were 310 women of 18 to 26 years old. The study collected 84 anthropometric data for each Person. The data was analyzed by using of the multivariate method. The factor analysis was utilized in regard to the 65 items obtained from anthropometric measurement respectively. The principal component analysis was applied to the data with orthogonal rotation after extraction. The factor scores used in the factor analysis became the basis of determining the value of each variable of the cluster analysis. The cluster analysis was applied for identifying typical somatotypes. Ward's minimum variance method was applied for the purpose of extracting distance metrix by the standardized Euclidean distance. The element forming each cluster can be subdivided into several sets by crosstabulation which is obtained by the fastclus of the SAS. This research has demonstrated 3 distinctive types of silhouette contour of the trunk. Incidentally it also identified 4 of the lower body from the waistline to thigh contour respectively. The discriminant analysis showed that the most significant discriminant factor of the trunk classification were side neck point -1 scapular -1 waistiline length and waist girth. In Korea, the average somatotype of female college students tends to be tall, slim and straight. Reviewing the relationship between the classifications of three parts of body, they are related to each other to some extent but their distribution are not constant. Therefore, in view of clothing construction, a proper separation of the body surface is a necessity.