• Journal of Distribution Science
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• v.13 no.4
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• pp.29-33
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• 2015

Purpose - This paper aims to explain the interactive relationship between small and medium-sized enterprises' clusters and regional economic growth, with Jiangsu Province as an illustrative example. It focuses on studying the promotional effects, if any, of small and medium-sized enterprises' cluster-development on regional economic growth, and vice-versa. Research design, data, and methodology - Data were collected from the Jiangsu Statistical Yearbook and the China Industrial Economic Statistical Yearbook, by selecting 26 industries as the research subjects. The sample interval selection is 1981-2012. The data were analyzed with the dynamic panel system using stata 12.0. Results - 1) The small and medium-sized enterprises' cluster degree and Jiangsu's economic growth have a long-term stable equilibrium relationship. 2) In the short term, they have a dynamic adjustment 3) The enterprises' cluster degree leads to regional economic growth in Jiangsu, but not vice-versa. Conclusions - Small and medium-sized enterprises' clusters have an important promotional effect on Jiangsu's economic growth, especially industries with high degree of agglomeration. Therefore, the formation of these clusters can significantly improve economic growth.

• Journal of Technology Innovation
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• v.12 no.2
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• pp.67-97
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• 2004

Practical experience with technology implementation of the upgrading of very small village industries in India suggests that innovation failures are not merely a result of the lack of proper interaction between the users and suppliers of technologies under implementation, but also a result of adoption of the primitive conception of competitiveness in their practice of technology development. The approach of promoting the small producers to become individually competitive by using labour intensive, small-scale intermediate technologies is proving to be totally inadequate for the achievement of technological efficiency in a dynamic sense. Guided by a primitive notion of competitiveness, the suppliers of intermediated technologies are thus being led into limiting their technological efforts in the sectors of direct interest to the rural industrial clusters to the transitional objectives of mainly poverty alleviation. Consequently they have not been able to target the small producers of these village industries for the objectives of business growth. This paper posits that under competitive conditions the self-employed small producer has not only to come together for access to resources, but also has to emerge as a multi-sectoral collective of producers, co-operating in production. With the aim to draw lessons that are generic and have policy implications for the development of innovation systems for local economy based rural industrial clusters and value chains, the author analyses in this paper the experience of innovation in technological systems for the sectors of leather, fruits and vegetable processing and agro processing by the People's Science Movement with the help of the Ministry of Science and Technology and other sectoral ministries in India where rural poor were required to pool the resources and capabilities for raising the scale and scope of their collective production organization.

• Journal of Korean Institute of Industrial Engineers
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• v.36 no.2
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• pp.94-100
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• 2010

The reliable multicast MAC (Medium Access Control) protocol is needed to guarantee the recipients' nonerroneous reception of the multicast data frames, which can be transmitted by the AP (Access Point) in infrastructure mode IEEE 802.11 wireless LANs. Enhancing the BMMM (Batch Mode Multicast MAC) protocol, in the literature, the connectivity-based reliable multicast MAC protocol was proposed to reduce the RAK (Request for ACKnowledgement) frame transmissions and enhance the multicast MAC performance. However, the number of necessary RAK frame transmissions increases as the number of multicast recipients increases. To alleviate the problem of the larger number of RAK frame transmissions with the larger number of multicast recipients, we propose the clustering algorithm for partitioning the recipients into a small number of clusters, so that the recipients are connected each other within the same clusters. Numerical examples are presented to show the reliable multicast MAC performance improvement by the clustering algorithm.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.2
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• pp.219-233
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• 2010

In this study, the possibility of the application of knowledge management concept in a unit of regional industrial cluster is explored based on diverse case studies. For this purpose, a new framework for knowledge management strategies in an industrial cluster was developed and a model of Knowledge Hub was suggested for the support of integrated knowledge management in an industrial cluster. Additionally, characteristics of Knowledge Hub that should be considered in the design of the Hub are discussed. The concept of Knowledge Hub in this study could be particularly useful for the promotion of innovations in linking clusters and provincial industrial clusters.

• Journal of the Economic Geographical Society of Korea
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• v.25 no.3
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• pp.420-450
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• 2022

Texas has recently emerged as a phenomenal industrial destination, which attracts headquarters, production facilities, and/or regional centers of global corporations including Tesla and Samsung. Known as "Texit", this trend of corporate investment to Texas has concentrated in highly developed industrial clusters (such as Dallas-Fort Worth, Houston, Austin, and San Antonio) since the early 2000s. Against this background, this paper examines sectoral and geographical characteristics of those clusters, and investigates associated state initiatives that have been introduced and implemented. As a result, key policy measures in the state are found to be aligned to free-market liberalism, diversified incentives, and regional specialization. Unlike Silicon Valley where Bohemian liberalism engendered vibrant entrepreneurship and innovative start-up formation, it is the strong state government that leads industrial cluster upgrading in Texas, while successfully harnessing lower income taxes and deregulation, affordable land and infrastructure, and quality higher education and human capital as regional assets for attracting inward investment.

• Korean Journal of Breeding Science
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• v.42 no.1
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• pp.11-22
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• 2010

The population structure of a domesticated species is influenced by the natural history of the populations of its pre-domesticated ancestors, as well as by the breeding system and complexity of breeding practices implemented by humans. In the genetic and population structure analysis of 122 South Asia collections using 29 simple sequence repeat (SSR) markers, 362 alleles were detected, with an average of 12.5 per locus. The average expected heterozygosity and polymorphism information content (PIC) for each SSR locus were 0.74 and 0.72,respectively. The model-based structure analysis revealed the presence of three clusters with the 91.8% (shared > 75%) membership, with 8.2% showing admixture. The genetic distances of Clusters 1-3 were 0.55, 0.56, and 0.68, respectively. Polymorphic information content followed the same trend (Cluster 3 had the highest value and Cluster 1 had smallest value), with genetic distances for each cluster of 0.52, 0.52, and 0.65, respectively. This result could be used for supporting rice breeding programs in South Asia countries.

• Journal of Korea Society of Industrial Information Systems
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• v.11 no.5
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• pp.150-162
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• 2006

A research model was developed to examine the relationships between the anticipated benefit factors of Internet shopping malls selling physical products and their competitive strategies when the shopping malls are located in their supply chain clusters. A survey questionnaire was implemented and 99 usable responses were obtained from the internet shopping malls located in major industrial clusters in Korea. The six major benefit factors were found: sharing information with offline suppliers, obtaining customers, improvement of trust, efficiency of operation processes, value-added service, management of suppliers. The six empirically derived benefit factors were then used to examine how they affect the firms' competitive strategies and strategic alliance/merger. The regression results shows that the benefit factors influence on firms' choosing one or some combination of the competitive strategies and strategic alliance to survive and succeed in the market.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.434-446
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• 2021

Recently, there has been a growing interest in the fourth industrial revolution, expected to have a significant impact on society. However, there are only a few studies on spatial distribution and location of the fourth industry. This study tried to classify the spatial distribution of the fourth industry by using LQ, a non-geographical method, and Getis-Ord's Gi^*, a geographical method. The results of the analysis are as follows. First, there are the specialized areas of the fourth industry in the non-Seoul metropolitan area as well as the Seoul metropolitan area. Second, industrial clusters and neighborhood areas of the fourth industry were located mostly in the Seoul metropolitan area. Third, industrial clusters were concentrated on the southern part of Gyeonggi Province and Seoul, and there are no industrial clusters in the northern part of the Seoul metropolitan area and the nature conservation area. This paper shows that the cluster area of the fourth industry is concentrated in the Seoul metropolitan area. Therefore, policies for the 4th industry are needed to solve this unbalanced spatial distribution of the fourth industry.

• 월간산업보건
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• s.81
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• pp.20-22
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• 1995

질병의 집단발생(Disease clusters)은 역학적인 면과 의학정보제공이라는 면에서 산업의학에 관한 중요한 자료를 제공하여 왔다. 현재 알려져 있는 질병과 유해물질 폭로간의 관련성은 이러한 집단발생을 통하여 시작된 경우가 많다. 이와 같이 새로운 원인결과 관계를 밝히는 데에 작업장의 집단발생조사(workplace cluster investigation)가 많은 장점이 있는데도 불구하고 이를 위한 방법들은 잘 소개되어있지 않다. 이 글에서는 이러한 집단발생을 조사하는 표준화된 방법론을 소개하고자 하였다.

• International Journal of CAD/CAM
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• v.5 no.1
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• pp.1-10
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• 2005

A new approach based on vector field clustering for tool path optimization of 5-axis CNC machining is presented in this paper. The strategy of the approach is to produce an efficient tool path with respect to the optimal cutting direction vector field. The optimal cutting direction maximizes the machining strip width. We use the normalized cut clustering technique to partition the vector field into clusters. The spiral and the zigzag patterns are then applied to generate tool path on the clusters. The iso-scallop method is used for calculating the tool path. Finally, our numerical examples and real cutting experiment show that the tool path generated by the proposed method is more efficient than the tool path generated by the traditional iso-parametric method.