• 산업클러스터
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• 제3권1호
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• pp.26-38
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• 2009

많은 지역개발 관련 정책결정자들이 클러스터 이론과 분석을 지역경제개발을 위한 일반적인 어프로치로 이해하는 경우가 많다. 이러한 관점은 흔히 정책결정자들로 하여금 실제 자신들의 지역이 처한 고유한 환경과 도전을 무시한 일률적인 정책 개입을 야기시킨다. 본 연구는 지역개발 정책에 있어 이론 뿐 아니라 경험과 직관, 분석 등을 종합적으로 중시하는 전략기획의 중요성에 초점을 맞추고 있다. 클러스터 이론과 분석은 이러한 전략기획의 과정에서 유용한 정보를 제공한다. 그러나 이것이 전략기획 과정을 아우르는 유일한 프레임이 되어서는 안된다는 점을 유념할 필요가 있다.

• 대한전기학회논문지:전력기술부문A
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• 제54권8호
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• pp.418-428
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• 2005

In this paper, a new probabilistic generation modeling method which can address the characteristics of changed electricity industry is proposed. The major contribution of this paper can be captured in the development of a probabilistic generation modeling considering generator maintenance outage and in the classification of market demand into multiple demand clusters for the applications to electricity markets. Conventional forced outage rates of generators are conceptually combined with maintenance outage of generators and, consequently, effective outage rates of generators are newly defined in order to properly address the probabilistic characteristic of generation in electricity markets. Then, original market demands are classified into several distinct demand clusters, which are defined by the effective outage rates of generators and by the inherent characteristic of the original demand. We have found that generators have different effective outage rates values at each classified demand cluster, depending on the market situation. From this, therefore, it can be seen that electricity markets can also be classified into several groups which show similar patterns and that the fundamental characteristics of power systems can be more efficiently analyzed in electricity markets perspectives, for this classification can be widely applicable to other technical problems in power systems such as generation scheduling, power flow analysis, price forecasts, and so on.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 A
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• pp.804-806
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• 2005

In this paper, a new probabilistic generation modeling method which can address the characteristics of changed electricity industry is proposed. The major contribution of this paper can be captured in the development of a probabilistic generation modeling considering generator maintenance outage and in the classification of market demand into multiple demand clusters for the applications to electricity markets. Conventional forced outage rates of generators are conceptually combined with maintenance outage of generators and, consequently, effective outage rates of generators are new iy defined in order to properly address the probabilistic characteristic of generation in electricity markets. Then, original market demands are classified into several distinct demand clusters, which are defined by the effective outage rates of generators and by the inherent characteristic of the original demand. We have found that generators have different effective outage rates values at each classified demand cluster, depending on the market situation. From this, therefore, it can be seen that electricity markets can also be classified into several groups which show similar patterns and that the fundamental characteristics of power systems can be more efficiently analyzed in electricity markets perspectives, for this classification can be widely applicable to other technical problems in power systems such as generation scheduling, power flow analysis, price forecasts, and so on.

• 기술혁신연구
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• 제13권2호
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• pp.207-222
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• 2005

A prerequisite for making R&D more productive is to able to measure its productivity. Most of the previous studies on this topic have attempted to measure R&D productivity at the firm or industry levels. In this study, however, R&D productivity is measured at the national level to provide R&D policy implications, particularly for Asian countries. Contrary to the previous studies where total factor productivity was adopted, this study employs the data envelopment analysis (DEA) approach to measure R&D productivity. DEA is a multi-factor productivity analysis model for measuring the relative efficiency of each Decision Making Unit (DMU). In addition to the basic DEA model that includes all inputs and outputs, five additional models are constructed by combining single input with all outputs and single output with all inputs in order to measure specialized R&D efficiency. In this study, the twenty-seven countries are classified into four clusters based on the output-specialized R&D efficiency: inventors, merchandisers, academicians, and duds. Then, the characteristics of the Asian countries with respect to R&D efficiency are identified. It is found that Singapore ranks high in total efficiency, and Japan in patent-oriented efficiency. Meanwhile, China, Korea, and Taiwan are found to be relatively inefficient in R&D. We expect that the findings from this study will be able to provide directions for R&D policy-making of the Asian countries.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권3호
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• pp.976-990
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• 2020

The k-means algorithm is widely used in academia and industry due to easy and simple implementation, enabling fast learning for complex datasets. However, k-means struggles to classify datasets without prior knowledge of specific domains. We proposed the repulsive k-means (RK-means) algorithm in a previous study to improve the k-means algorithm, using the repulsive force concept, which allows deleting unnecessary cluster centroids. Accordingly, the RK-means enables to classifying of a dataset without domain knowledge. However, three main problems remain. The RK-means algorithm includes a cluster repulsive force offset, for clusters confined in other clusters, which can cause cluster locking; we were unable to prove RK-means provided optimal convergence in the previous study; and RK-means shown better performance only normalize term and weight. Therefore, this paper proposes the advanced RK-means (ARK-means) algorithm to resolve the RK-means problems. We establish an initialization strategy for deploying cluster centroids and define a metric for the ARK-means algorithm. Finally, we redefine the mass and normalize terms to close to the general dataset. We show ARK-means feasibility experimentally using blob and iris datasets. Experiment results verify the proposed ARK-means algorithm provides better performance than k-means, k'-means, and RK-means.

• 한국의류산업학회지
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• 제4권1호
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• pp.56-63
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• 2002

This study was designed to investigate the new concept about lifestyle of female consumer in the present time of digital revolution and to analyze the preferences and sensibilities according to the types of consumer lifestyle classified into the same group. Survey was done through questionnaire of 79 questions and the data of 151 female consumers in the age of 19-34 were analyzed statistically using SPSS. The 6 factors were extracted from 39 lifestyle questions: consumerism, seeking challenge, communal life, quality of life, digital orientation and active counter plan. 6 Lifestyle clusters of female consumers were as following: the no-concern satisfied, the digital passive, the consumer personal, the digital active, the consumer communal and the adventurous. 30.5% of female consumer was the digital lifestyle who are relatively older and highly educated, of high income and expense rate, and resident in Gangnam. The preferred sensations by female consumer were 5; reasonal, feminine, conspicuous, active, and modest, and the clusters according to the sensations were 5: the casual, the status-symbolism, the rich in contents, the romantist, and the elegance. Lifestyle and preferred sensations were so related that the no-concern satisfied were the status-symbolism and the romantist, while the digital were the richness of contents and the adventurous were the romantist.

• 한국식생활문화학회지
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• 제23권3호
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• pp.377-387
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• 2008

The objective of this study was to use cluster analysis to determine differences in eating-out behavior among grouped clusters of female consumers after each cluster was divided based on lifestyle patterns. The data were collected by interview survey from a biased sample of 1,300 females, ranging from ages 20 to 59, and living in residential districts of Seoul. Reliability analysis, factor analysis, cluster analysis, cross-tabulation analysis, and analysis of variance (ANOVA) were applied to the data. Four lifestyle factors were extracted by lower-division and classified as follows: health condition, consuming, food, and housing lifestyles. Based on these four factors, the female consumers were grouped as three clusters: the consuming-individuality type, rational-pursuit type, and conservative-stability type. The eating-out behavior of each cluster was significantly different in terms of frequency of eating-out, eating-out expenditures, restaurant selection criteria, food preferences, and the purpose for eating-out. Since this study surveyed females from ages 20 to 59, age and demographics were the differential factors in determining the various lifestyle types. Thus, to target the consumers who form a target market, the food industry should consider market segmentation that combines demographic factors such as age, income, and marital status.

• 한국경제지리학회지
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• 제4권1호
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• pp.61-76
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• 2001

1990년대 들어 지식기반경제 시대의 도래와 더불어 산업의 경쟁력 제고와 지역간 균형발전을 동시에 도모하기 위한 혁신체제(innovation system)의 중요성이 북미 및 유럽을 중심으로 논의되고 있다. 이에 따라 본 연구는 이와 관련된 이론 및 정책사례를 검토하여 혁신체제의 개념 및 프레임웍을 정립하고 기업의 혁신행태, 네트워크 유형, 정책수요에 대한 설문조사 결과를 바탕으로 우리 산업에 적합한 혁신체제 구축 방향을 모색하였다. 혁신체제는 혁신주제간의 연계를 파악하기 위한 개념적 분석체계로서 산업 클러스터를 중심으로 가치사슬(Value chain)을 구성하는 기업간 혹은 기업과 지식하부구조간의 네트워크 형성을 위한 제도적 환경(framework condition)을 말한다. 본 연구는 우리 실정에 적합한 혁신체제의 구축을 위해서는 특정 산업을 중심으로 클러스터 형성과 네트워크 활성화하기 위한 3개 분야의 혁신시설 및 제도를 정비.확충하고, 이들을 지역 여건과 전략산업의 특성에 따라 우선 순위와 운영체계를 차별화시키는 것이 필요함을 제시하였다. : $\circled1$ 생산-과학기술 혹은 생산기업지원의 직접적인 연계를 담당할 시스템 연계기관의 확충, $\circled2$ 간접적인 연계 및 기업지원의 단일 창구로서 지역 플랫폼 설립, $\circled3$ 지역 여건과 산업 특성에 적합한 다양한 산업발전 전략을 수립.추진하기 위한 지역발전 기구의 설립.

• 한국통신학회논문지
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• 제33권3B호
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• pp.159-164
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• 2008

정부와 지자체는 IT산업의 생산성을 증대시키기 위해 모바일 산업 클러스터의 구축하여 테스트베드의 제공뿐만 아니라 해외 R&D센터의 유치 및 선진기업과의 공동연구도 실시 할 예정이다. 그 중 가장 먼저 해결되어야 할 과제중 하나가 바로 합리적인 입지 선정이다. 과거 국내의 각 시 도 지방자치단체들은 산업클러스터를 해당 지역내에 유치하기 위해 과열된 경쟁을 보여주었으며 이에 적절한 입지선정평가기준이 절실했다. 본 논문에서는 모바일 필드테스트베드와 같은 모바일산업 지원을 위한 시설투자에 있어서 최적의 입지선정기준이 무엇인지 알아보고자 한다. 먼저 지역특구 중심으로 해외사례를 알아보고 이를 토대로 입지선정요인을 위한 평가항목을 설정해 보고 이러한 평가모델을 계층분석적 의사결정방법(AHP)을 통해 분석해보았다.

• 한국의상디자인학회지
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• 제21권3호
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• pp.161-172
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• 2019

This study examines the characteristics and recent changes of the Hanbok industrial cluster in Gwangju Metropolitan City, in order to understand the problems in the activation of the Hanbok industry and to seek future policies. A total 32 companies comprise the 'Small Manufacturer Specialized Support Center of Hanbok' and were surveyed with a 41 questions with questions in four categories. The Gwangju Hanbok area has been in existence for more than 40 years and was composed of small groups of one or two manufacturers. They are experiencing the same difficulties as other Hanbok clusters, such as the aging of workers, the downturn of dress culture, and changing consumption paradigms. However, since 2015, various efforts have been made in order to seek countermeasures to cope with such difficulties, particularly with the foundation of the 'Small Manufacturer Specialized Support Center of Hanbok' with the support of the Ministry of Small Venture Business. This study focuses on the alterations in the current Hanbok industry due to the IT industrialization as well as the changes in the locations of the Hanbok clusters due to the revitalization of old towns by local governments., The results providing an opportunity to appreciate the problems therein and seek the solutions. Small manufacturers of the Hanbok cluster are trying to improve their entrepreneurship, digital technology application, and knowledge in accordance with the socio-economic trends, but they have limitations to practically apply it to business, barely keeping the minimum production base. The central government and the Gwangju should reinforce and expand the support for marketing and public relations for the Hanbok to foster the designer population, to establish mutual brands, to raise brand awareness, and to promote the technological perfection of the individual businesses, to allow them to cope with the current market trends, in order for the technological development and firm settlement of the local Hanbok industrial cluster.