• 한국경제지리학회지
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• 제4권2호
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• pp.79-96
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• 2001

일반적으로 클러스터는 첨단기술의 제조업, 특히 IT기반 산업이나 수직적으로 통합된 장인산업 등으로 이루어지며, 대개 벤처자본과 엔젤자몬 등과 함께 다양한 정부의 지원과 사업 인프라를 통해 이르게 성장하는 특성을 보인다. 대부분의 클러스터연구는 이러한 지식기반산업의 군집과 혁신의 특성을 연구한다. 이 연구는 서울 중심부에서 발달한 새로운 형태의 산업클러스터의 특성을 분석한다. 서울의 전형적인 도심주변부로서 지역의 쇠퇴와 교통 혼잡, 환경문제가 심각한 청계천로상의 전문상가로는 지식기반산업이 아니라 의류와 패션산업의 군집으로 인해 가장 역동적이고 혁신적인 지역으로 변모하고 있다. 이러한 새로운 형태의 산업클러스터의 특성과 사회적 자본의 형성에 대한 연구는 클러스터이론과 내분도시의 변화에 대해 새로운 시각을 제시할 수 있을 것이다. 이 글에서 먼저 청계천로 전문상가로의 성장에 대해 간략히 고찰한 후, 새로운 형태의 클러스터의 제도적, 공간적 특성을 살펴본다. 또한 생산-분배-판매-장소소비 등이 한 곳에서 이루어지는 청계천 클러스터의 핵심 구성요소들의 발달과정을, 지역적 네트워킹, 사회적 자본, 제도화, 장소성에 기반한 사회 문화경제적 기제 등의 개념으로 설명한다. 마지막으로 서울의 새로운 산업 클러스터 발전에 대한 전망과 향후 연구과제를 제시한다.

• 지역연구
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• 제13권2호
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• pp.55-74
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• 1997

This paper investigates the spatial characteristics of networks, which arise as a firm's strategy to enhance its competitiveness to cope with the changing economic environments characterized by technological changes and increasing competitiveness. The theoretical framework in this study proposes that networks emerge as a firm's strategies to promote its competitiveness through the vertical/horizontal disintegration of the production system. Futhermore, regional industries of networks. The study examines the types of cooperation and the spatial boundary of the computer industry networks in Korea. Questionnaire survey was conducted on 1, 128 computer companies which had more than 10 employees, with 126 questionnaires being used for analysis. In addition, newpaper articles were used to supplement the foregoing work on network characteristics. The review of these articles covers the period from Jan. 1994 to June 1996. Major findings of this study are as follows: The spatial range of cooperative networks varies according to the specific characters of cooperation(R & D, production, and seles). Intralocal networks are being developed in Kangnam and Youido area, the computer industry agglomeration clusres of Seoul. There are the regional differnces in the agents and contents of cooperation. In intra-national R & D and production networks, regional differnces in agglomeratins and non-agglomerations are not detercted. Most networks of this type are found between large firms and small firms. In contrast, foregn R & D and production networks, which are operated mostly by large firms, are found in Kangnam, Youido, and CBD. Intra-national and foreign productino networks are also focused in Kangnam, Youido, and CBD. Small firms are playing an active role in making this type of cooperation possible. In the perspective of localization-globalization, Korean computer industry can be analyzed in two respects: industrial and regional. The localization of small firms and the localization-globalization of large firms' networks are being developed in industrial contexts, while the localization-globalization of agglomerations and the localization of non-agglomerations networks are being developed in regional contexts. As networks for the localization-globalization of industry are growing in agglomerations, interfirm networks could be related to trends in the formation or intensification of industrial agglomerations. industrial agglomeration areas function as a facilitator of localization through subcontracts, intraregional network and interregional network. They also facilitate globalization via foregn networks. In non-agglomeratin areas, localization networks, which are connected with agglomeration areas via subcontracting, interregional R & D. or production cooperation.

• 한국약용작물학회지
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• 제25권6호
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• pp.361-366
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• 2017

Background: In the herbal medicinal industry, Angelica gigas Nakai, Angelica sinensis (Oliv.) Diels. and Angelica acutiloba (Siebold & Zucc.) Kitag. are often confused, because the roots of the three species can not be distinguished by their appearance. This confusion can cause serious side effects. In this study, we determined the origins of Angelica roots distributed in the Korean market using the simple sequence repeat (SSR) markers developed based on the A. gigas chloroplast DNA sequence. Methods and Results: We collected twenty seven A. gigas and three A. acutiloba samples from the Seoul, Daegu, and Cheongju herbal medicinal markets. Fifty sections of one collection were mixed and ground to make a powder, which was used for DNA extraction using the cetyl trimethylammonium bromide (CTAB) method. Chloroplast based SSR markers were applied to the DNA for the determination of the species. In addition, polymorphism was found in eight samples. The phylogenetic analysis showed that the A. gigas roots collected from herbal medicinal markets were clearly discriminated from A. sinensis and A. acutiloba even though they were grouped into four clusters. Conclusions: This study showed that chloroplast based SSR markers would help the discrimination of Angelica roots in the Korean herbal medicinal industry and the markers are useful to prevent confusion between Angelica roots.

• 한국작물학회지
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• 제58권4호
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• pp.336-346
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• 2013

Amaranth (Amaranthus sp. L.) is an important group of plants that includes grain, vegetable, and ornamental types. Centers of diversity for Amaranths are Central and South America, India, and South East Asia, with secondary centers of diversity in West and East Africa. The present study was performed to determine the genetic diversity and population structure of 75 amaranth accessions: 65 from South America and 10 from South Asia as controls using 14 SSR markers. Ninety-nine alleles were detected at an average of seven alleles per SSR locus. Model-based structure analysis revealed the presence of two subpopulations and 3 admixtures, which was consistent with clustering based on the genetic distance. The average major allele frequency and polymorphic information content (PIC) were 0.42 and 0.39, respectively. According to the model-based structure analysis based on genetic distance, 75 accessions (96%) were classified into two clusters, and only three accessions (4%) were admixtures. Cluster 1 had a higher allele number and PIC values than Cluster 2. Model-based structure analysis revealed the presence of two subpopulations and three admixtures in the 75 accessions. The results of this study provide effective information for future germplasm conservation and improvement programs in Amaranthus.

• Environmental Engineering Research
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• 제15권3호
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• pp.135-140
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• 2010

With the various urban characteristics of each city, the existing water demand prediction, which uses average liter per capita day, cannot be used to achieve an accurate prediction as it fails to consider several variables. Thus, this study considered social and industrial factors of 164 local cities, in addition to population and other directly influential factors, and used main substance and cluster analyses to develop a more efficient water demand prediction model that considers unique localities of each city. After clustering, a multiple regression model was developed that proved that the $R^2$ value of the inclusive multiple regression model was 0.59; whereas, those of Clusters A and B were 0.62 and 0.74, respectively. Thus, the multiple regression model was considered more reasonable and valid than the inclusive multiple regression model. In summary, the water demand prediction model using principal component and cluster analyses as the standards to classify localities has a better modification coefficient than that of the inclusive multiple regression model, which does not consider localities.

• 산학경영연구
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• 제17권
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• pp.215-230
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• 2004

지난날 우리기업들은 수많은 경영혁신 기법들을 도입하여 추진해 왔지만 그것들은 기대를 충족시키지 못하고 관심에서 멀어져가 버린 경우가 많다. 경영혁신 도입 실패는 많은 경우, 기법 자체의 문제라기보다는 그것을 실행하는 기업의 문제라고 보아야 할 것이다. 주요한 실패 원인의 하나는 경영혁신이 기업의 전략과 정렬되지 못했다는 것이다. 본 논문에서는 경영혁신 기법들을 경쟁전략의 틀에 맞추어 분석, 분류함으로써 전략과 경영혁신기법의 통합모델을 제시한다.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.72-77
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• 2005

Orthologs are genes having the same function across different species that specialize from a single gene in the last common ancestor of these species. Orthologous groups are useful in the genome annotation, studies on gene evolution, and comparative genomics. However, the construction of an orthologous group is difficult to automate and it takes so much time. It is also hard to guarantee the accuracy of the constructed orthologous groups. We propose a system to construct orthologous groups on many genomes automatically and rapidly. We utilize the grid computing to reduce the sequence alignment time, and we use clustering algorithm in the application of database to automate whole processes. We have generated orthologous groups for 20 complete prokaryotes genomes just in a day because of the grid computing. Furthermore, new genomes can be accommodated easily by the clustering algorithm and grid computing. We compared the generated orthologous groups with COGs (Clusters of orthologous Group of proteins) and KO (KEGG Ortholog). The comparison shows about 85 percent similarity compared with previous well-known orthologous databases.

• Spatial Information Research
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• 제18권3호
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• pp.41-52
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• 2010

본 연구에서는 소프트웨어(SW) 기업의 시공간적 변화를 GIS 흐름도 기법에 의해 분석하였다. 1999년부터 2008년까지 수도권 SW 기업의 본사 이전을 Flow Mapper와 ArcGIS Flow Data Model을 이용하여 사업체 수 및 사업체 고용자 수에 따라 기종점(OD) 행렬로 흐름도를 작성하고 공간적 이동을 지도화하였다. 분석 결과 첫째, 강남구, 서초구에서 구로구, 금천구, 성남시 분당구로 SW 기업의 이동 흐름이 확인되었다. 둘째, 고용규모가 큰 기업일수록 도심에서 교외로 이전하는 경향이 나타났다. GIS 흐름도 분석 기법은 사업체 이동에 따른 기업 집적지의 성장, 쇠퇴, 공간적 이동 연구에 유용한 것으로 파악되었다. 본 기법은 도시계획분야의 공간적 변화 이해와 분석 결과의 시각화에 활용될 수 있을 것으로 판단된다.

• 한국대기환경학회지
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• 제17권4호
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• pp.331-345
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• 2001

The increase of carbon monoxide in the ambient air due to the emissions from point sources without control was estimated using three -dimensional numerical models. The target area was Ulsan where one of the largest industrial complexes was located. As a typical example using numerical models for air quality impact analysis of criteria pollutants that will determine whether the air quality standards would be exceeded or not, the following approaches were suggested. They include: (1) investigation of pre-existing atmospheric conditions, (2) identification of major factors causing high concentrations, (3) selection of episode days. (4) preparation of three-dimensional meteorological data, (5) confirmation of agreement between measured and predicted concentrations in the emission conditions of episode days, and (6) estimation of the impact due to changes of the emission conditions. In the present work, daily meteorological conditions for the specific period were classified into four clusters of distinctive features, and the episode days were selected individually from each cluster. Emphasis was placed on the selection of episodes representing meteorological conditions conducive to high concentrations especially for point sources that were sensitive to the wind direction variations.

• International Journal of Industrial Entomology and Biomaterials
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• 제15권2호
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• pp.123-130
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• 2007

The Hsp 20.8 and Hsp 90 cDNA sequence retrieved from NCBI database and consists of 764 bp and 2582 bp lengths respectively. The corresponding cDNA homologus sequences were BLAST searched in Bombyx mori genomic DNA database and two genomic contigs viz., BAAB01120347 and AADK01011786 showed maximum homology. In B. mori Hsp 20.8 and Hsp 90 is encoded by single gene without intron. Specific primers were used to amplify the Hsp 20.8 gene and Hsp 90 variable region from genomic DNA by using the PCR. Obtained products were 216 bp in Hsp 20.8 and 437 bp in Hsp 90. There was no variation found in the six silkworm races PCR products size of contrasting response to thermal tolerance. The comparison of the sequenced nucleotide variations through multiple sequence alignment analysis of Hsp 90 variable region products of three races not showed any differences respect to their thermotolerance and formed the clusters among the voltinism. The comparison of aminoacid sequences of B. mori Hsps with dipteran and other insect taxa revealed high percentage of identity growing with phylogenetic relatedness of species. The conserved domains of B. mori Hsps predicted, in which the Hsp 20.8 possesses ${\alpha}-crystallin$ domain and Hsp 90 holds HATPase and Hsp 90 domains.