• Journal of Technology Innovation
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• v.11 no.2
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• pp.195-217
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• 2003

Since the early 1990s, cluster-based policies have been celebrated as the basis of successful regional industrial and technological development strategy by encouraging regional innovation and technological spillover. Most recently, the Korean government has also begun to seek to initiate some strategies for promoting industry clusters. However, it is problematic that the cluster policies still focus on attracting related firms and establishing supporting agencies and physical infrastructures rather than improving social and institutional dimensions for cluster development such as social capital, networks, social learning capabilities, the governance of regional innovation. In this paper we attempt to elucidate social and institutional dimensions for cluster development and suggest some policy agenda to promote innovative cluster.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.83-103
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• 2015

The rapid development of internet technologies and social media over the last few years has generated a huge amount of unstructured text data, which contains a great deal of valuable information and issues. Therefore, text mining-extracting meaningful information from unstructured text data-has gained attention from many researchers in various fields. Topic analysis is a text mining application that is used to determine the main issues in a large volume of text documents. However, it is difficult to identify related issues or meaningful insights as the number of issues derived through topic analysis is too large. Furthermore, traditional issue-clustering methods can only be performed based on the co-occurrence frequency of issue keywords in many documents. Therefore, an association between issues that have a low co-occurrence frequency cannot be recognized using traditional issue-clustering methods, even if those issues are strongly related in other perspectives. Therefore, in this research, a methodology to reorganize social issues from a research and development (R&D) perspective using social network analysis is proposed. Using an R&D perspective lexicon, issues that consistently share the same R&D keywords can be further identified through social network analysis. In this study, the R&D keywords that are associated with a particular issue imply the key technology elements that are needed to solve a particular issue. Issue clustering can then be performed based on the analysis results. Furthermore, the relationship between issues that share the same R&D keywords can be reorganized more systematically, by grouping them into clusters according to the R&D perspective lexicon. We expect that our methodology will contribute to establishing efficient R&D investment policies at the national level by enhancing the reusability of R&D knowledge, based on issue clustering using the R&D perspective lexicon. In addition, business companies could also utilize the results by aligning the R&D with their business strategy plans, to help companies develop innovative products and new technologies that sustain innovative business models.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.4
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• pp.623-640
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• 2010

The aim of this paper is to explore opportunities and limitations of the top-down approach to build institutional performance by analyzing the process of local government-led cluster's initiatives. In doing so, this paper investigates processes of the design and implementation of cluster's policy as well as firms' innovative capacities. As the result, it reveals the fallacy of the local government's policy in planning industrial clusters, the inconsistence of cluster initiatives due to changes of regional vision providers, weakness of innovative performance of IT firms supported by the local government in the region. It should be concluded that Chun-cheon City did not succeed in accumulating institutional capabilities which were crucial to implement a cluster initiative.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.1
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• pp.131-147
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• 2020

RFID (Radio Frequency Identification) identifies a specific object by radio signals. As the tag provides a unique ID for the purpose of identification, RFID technology effectively solves the ambiguity and occlusion problem that challenges the laser or camera-based approach. This paper proposes an approach to track a moving object based on the integration of RFID and laser ranging information using a particle filter. To be precise, we split laser scan points into different clusters which contain the potential moving objects and calculate the radial velocity of each cluster. The velocity information is compared with the radial velocity estimated from RFID phase difference. In order to achieve the positioning of the moving object, we select a number of K best matching clusters to update the weights of the particle filter. To further improve the positioning accuracy, we incorporate RFID signal strength information into the particle filter using a pre-trained sensor model. The proposed approach is tested on a SCITOS service robot under different types of tags and various human velocities. The results show that fusion of signal strength and laser ranging information has significantly increased the positioning accuracy when compared to radial velocity matching-based or signal strength-based approaches. The proposed approach provides a solution for human machine interaction and object tracking, which has potential applications in many fields for example supermarkets, libraries, shopping malls, and exhibitions.

• The Journal of Economics, Marketing and Management
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• v.6 no.4
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• pp.17-27
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• 2018

Purpose - As Korea is reaching a post-aged society, the number of chronic illness is increasing, and the demand for rehabilitation medical device is growing. Although there is high potential for the growth in rehabilitation industry, because most of the related companies in Korea are relatively small, lacking capital or R&D resource, it is difficult for them to create an innovative product, and currently most of the high-tech equipments are imported. Therefore a medical device cluster, where business, research, medical institutes and universities may work cooperatively to enhance research development and solve issues is necessary for future development. Research design, data, methodology - In this method we have done a literature review of the rehabilitation industry and industrial cluster. Based on the studies, we have conducted an exploratory factor analysis by studying examples of foreign and domestic medical clusters and drawing success factors in forming a medical cluster. Next based on the studies we have conducted a survey to domestic medical device companies to find their difficulties and needs to form a successful medical device cluster. Results - This paper provides both theoretic review on success factors of forming a medical device cluster and practical analysis using case study and survey. Conclusion - The significance of this paper is that based on the literature review, we have compared actual examples of domestic/foreign medical clusters and drawn difference and coincidence between literature and actual cluster success factor. We were also able to conduct a survey on actual medical device companies and through the results we were able to search difficulties and necessities of medical device companies.

• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1238-1249
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• 2020

Throughout the world, aging populations and doctor shortages have helped drive the increasing demand for smart healthcare systems. Recently, these systems have benefited from the evolution of the Internet of Things (IoT), big data, and machine learning. However, these advances result in the generation of large amounts of data, making healthcare data analysis a major issue. These data have a number of complex properties such as high-dimensionality, irregularity, and sparsity, which makes efficient processing difficult to implement. These challenges are met by big data analytics. In this paper, we propose an innovative analytic framework for big healthcare data that are collected either from IoT wearable devices or from archived patient medical images. The proposed method would efficiently address the data heterogeneity problem using middleware between heterogeneous data sources and MapReduce Hadoop clusters. Furthermore, the proposed framework enables the use of both fog computing and cloud platforms to handle the problems faced through online and offline data processing, data storage, and data classification. Additionally, it guarantees robust and secure knowledge of patient medical data.

• Journal of the Korean association of regional geographers
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• v.11 no.3
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• pp.381-394
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• 2005

There is a little agreement about the characteristics of the company town proposed by the Federation of the Korean Industries(FKI). So the purpose of this study is to figure out the FKI's company town, It is begun with the history and the characteristics of the Western company town and the company town of Japanese type. The process of the company town issue from the first proposal of the FKI is examined. Particularly, the definitions, the examples and the expected effects of the company town in the reports supporting the FKI's proposal are explored. Western company town could be characterized by the economic simplicity and the important role of single firm for supply of jobs, houses, etc. In the light of the results of this study, the FKI's company town was based on the western company town especially in definition, influenced by the company town of Japanese type and then identified with industrial clusters. Consequently there is some disaccordance among the definitions, the examples and the expected effects of the FKI's company town. Giving shape to the FKI's company town project in desirable way, it should be developed in small scale at first, with many related enterprises and public institutions to meet their spatial demand and in related with the other new town projects, for example, future innovative city and innovative cluster.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.2
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• pp.59-71
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• 2022

This study considered regional differences in the university-industry collaboration of Korean universities and performed cluster analysis to identify the spatial range with high university-industry collaboration connectivity. By university establishment type, it was found that the university-industry collaboration capacity of the major national university was superior overall, especially in the technology transfer & commercialization sector and the infrastructure sector, compared to private universities and general national universities. The spatial pattern of university-industry collaboration capacity showed relatively clear differences by city and province. In terms of university-industry collaboration capacity by sector, it was confirmed that the regional gap was not large in the talent training sector and the infrastructure sector, but the regional gap was relatively large in the technology transfer & commercialization sector and the start-up sector. As a result of the cluster analysis to identify a spatial range with high connectivity in terms of similarity and spatial proximity of university-industry collaboration patterns, it is divided into 15 clusters. It is found that most of major national universities are included in one of 15 clusters where all sectors of university-industry collaboration are strong. Therefore, as a policy measure to achieve regional innovative growth through enhancing the effectiveness of university-industry collaboration, we propose the establishment of a hub & spoke network-type collaboration system in which a major national university acts as a hub and nearby local universities play a spoke role.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.3
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• pp.238-255
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• 2023

In this study, we derived the characteristic factors of the cluster as measurable variables, and attempted to clarify the characteristics of the apparel sewing areas in Changsin-dong, Doksan-dong, and Jangwi-dong. Based on these results, a comparative analysis was conducted to see how the demand for the government's support policy differs for each agglomeration area. Materials were collected through face-to-face questionnaires targeting tenant companies in the three regions. As a result of the analysis, Changsin-dong was identified as an "innovative growth type," Doksan-dong as a "networking type," and Jangwi-dong as a "specialized localization type." As a result of the research on policy demands, the policy demands of the three agglomerations appeared different, but Changsin-dong preferred capacity building, Doksan-dong preferred information provision, and Jangwi-dong favored policy means of benefit. It was confirmed that even among clusters of the same apparel sewing industry, the formation process and characteristics are different, and as a result, the demand for policy instruments is also different. Policy recommendations include understanding the characteristics and policy demands of each agglomeration area through periodic fact-finding surveys, and recommending the establishment and implementation of differentiated support policies that match the characteristics of each agglomeration area.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.4
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• pp.92-101
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• 2011

This study analyzed the urban structure of Jinju city where urban doughnut phenomena, development of new town at suburban zone and establishment of innovation city appear. The sphere of this study was set limit to Jinju's dong area due to taking the limitation of data. Multivariate analysis was done by using 24 variables to classify into seven clusters(CBD, Industrial Area, Residential Area etc). We studied regional condition and problems at the relation between analyzed regional features of this study and development principles at the upper planning. Jinju city needs urban redevelopment, reconstruction works and redevelopment promotion project for urban outworn zone in view of the regional conditions to innovate outdated city image and restore western Gyeongnam as a central city and also they should promote innovative city that is progressing now and construction of new town that is linked with Sangpyeong industrial complex removal as well as the whole Chojang-dong zone. In conclusion, this study will help to understand regional phenomenon like regional development project and urban management.