• Journal of the Economic Geographical Society of Korea
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• v.26 no.4
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• pp.375-390
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• 2023

This study examined the genesis process and competitiveness determinants of overseas bio-industrial clusters. The bio industry is a promising new industry that major countries around the world are paying attention to because it can be applied to various industries and can create high added value by combining artificial intelligence and information and communication technology. In addition, the importance of clusters is emphasized in that it requires connection and cooperation with various stakeholders. However, compared to this importance and interest, related research in Korea is somewhat insufficient. In particular, overseas case studies are also overly biased toward a few leading clusters, and tend to produce policies and development plans that do not correspond to domestic local conditions. To alleviate this problem, this study looked at the birth and growth process of the BioHealth Capital Region in the United States, Cambridge Cluster in the United Kingdom, and Medicon Valley in Denmark and Sweden. Through this, we aim to enrich related case studies that were lacking, identify the determinants of competitiveness of each cluster, and present implications for the creation and development of domestic bio industry clusters.

• Journal of Environmental Impact Assessment
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• v.17 no.6
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• pp.335-348
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• 2008

The purpose of this study is to classify the cities on sustainability assessment score studied in advance using cluster analysis, to present efficient management and policy direction based on analysis of sustainability index in 45 cities of all over Gyeongsangnam and Gyeongsangbuk-do. According to the results of cluster analysis, 45 cities were classed into 4 clusters by "livable-welfare city", "environmental -ecological city", "scientific-technological city", and "industrial-economic city". The livable-welfare cities must keep superior environmental sustainability, promote small and medium sized business on regional characteristic. The environmental-ecological cities have to change agriculture into future environmental industry such as ecotourism, bio-industry and landscape agriculture. The scientific-technological cities are going to need support of government scale such as income enlargement of citizen and stable job security. Finally, the industrial-economic cities must increase environmental management plants and improve quality of life through securing green spaces, maintaining public peace and applying UIS because of low quality of environment and life.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.3
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• pp.103-109
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• 2010

Total performance is improved by minimizing the channel interference between links in wireless mesh networks (WMNs). The paper refines on the CB-CA [1] to be suitable for multi-radio multi-channel (MRMC) WMNs. The CB-CA is the cluster-based channel assignment algorithm for one radio three channel WMN based on IEEE 802.11b/g. The CB-CA does not perform the channel scanning and the channel switching between the cluster heads (CHs) and the edge gateway nodes (EGs). However, the use of co-channel for links between CHs and EGs brings the problem of channel interference among many nodes. We propose and evaluate an improved CB-CA algorithm to solve this problem in MRMC WMNs. The proposed algorithm discriminates between transmission channel and receive channel and assigns channels to each interface randomly and advertises this information to neighbor clusters in order to be assigned no-interference channel between clusters. Therefore, the proposed algorithm can minimize the interference between clusters and also improve QoS, since it can use multiple interfaces and multiple channels.

• Journal of Navigation and Port Research
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• v.40 no.2
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• pp.67-72
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• 2016

Vietnam's sea-port industry has experienced a significant development in recent years. Especially in Northern Vietnam, both the demand and supply of handling services for containerized cargoes have increased at a considerable rates. Accompany with such movement, the competition among container terminals in the area becomes fiercer. In this paper, Hierarchical Cluster Analysis is employed to classify all 11 container terminals in Northern Vietnam by collecting data concerning terminal competitiveness. After the classification, each group will be discussed in order to reveal more details about their competitive characteristics. The paper consists of five sections. Section 1 is the general introduction. Section 2 provides a general literature review about competitiveness and factors to evaluate competitiveness. Section 3 explains variables and methodology applied to do the analysis. Section 4 presents the results with linkage to the current condition. Section 5 summarizes the analysis results. It is shown that container terminals in Northern Vietnam should not only pay attention to their service qualities but also have to find out an appropriate mechanism to avoid unhealthy competition. The paper is expected to contribute a background for further researches in container terminals' competition in the region as well as hints for operators in planning and making decisions.

• Journal of Korea Society of Digital Industry and Information Management
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• v.4 no.2
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• pp.29-37
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• 2008

Clustering allows hierarchical structures to be built on the nodes and enables more efficient use of scarce resources, such as frequency spectrum, bandwidth, and energy in wireless sensor networks (WSNs). This paper proposes a hierarchical clustering algorithm called EEHC which is more energy efficient than existing algorithms for WSNs, It introduces region node selection as well as cluster head election based on the residual battery capacity of nodes to reduce the costs of managing sensor nodes and of the communication among them. The role of cluster heads or region nodes is rotated among nodes to achieve load balancing and extend the lifetime of every individual sensor node. To do this, EEHC clusters periodically to select cluster heads that are richer in residual energy level, compared to the other nodes, according to clustering policies from administrators. To prove the performance improvement of EEHC, the ns-2 simulator was used. The results show that it can reduce the energy and bandwidth consumption for organizing and managing WSNs comparing it with existing algorithms.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.109-123
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• 2024

The purpose of this study is to identify strategic insights for cyber universities to secure a competitive advantage based on market analysis grounded in customer needs and motivations. As a research method, we surveyed and analyzed college students using conjoint analysis, identified the importance of cyber university components, estimated the utility of each detailed level, and identified the configuration of cyber universities most preferred by potential customers. In the study results, the importance of attributes that appeared by analyzing all respondents was in the order of 'expected ourcoms after graduation', 'department characteristic', 'cyber university name', and 'learning management style'. Cluster analysis was performed, divided into two groups, and conjoint analysis was performed. For Cluster 1, the importance values of the components were 'expected outcomes after graduation,' 'learning management style,' 'cyber university name,' and 'department characteristics,' in that order. For Cluster 2, the importance values were 'expected outcomes after graduation,' 'department characteristics,' 'cyber university name,' and 'learning management style,' in that order. As an application of the research, As an application of the study, it is suggested that analyzing the preferences of potential customers in the entire group is not accurate; therefore, segmenting the groups for analysis and strategy formulation can be useful.

• 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.

• Fashion & Textile Research Journal
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• v.14 no.4
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• pp.669-676
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• 2012

This study aims to compare the properties of natural dye stuffs, such as color, dyeability, fastness, and marketability, to analyze the differences noted by expert groups regarding the properties of the stuffs, and to make a positioning of the stuffs. A survey of experts in academia, business, and the art of natural dyeing was conducted, with an evaluation of 23 types of the stuff's properties. There is a correlation between the properties of the stuffs, and evaluating dye stuffs differs according to the group to which it belongs. X-axis relates to color and Y-axis refers to fastness in the positioning of the stuff. There are different relationships between properties according to their group. Color is significantly associated with marketability in art experts however, fastness is closely connected with marketability in business. The stuffs can be divided into five clusters. Cluster I includes indigo and persimmon, and is marked by excellent color, dyeability, fastness, and marketability, Cluster II contains safflower and sappan wood, which are excellent colors, yet suffer from low marketability on account of their medium to low fastness. Cluster III includes red, purple, and brown dyes, and onion and rhubarb, and has medium properties. Cluster IV is mugwort and yellow dyes, except onion and rhubarb, and features low properties. Cluster V is loess, featuring medium color and low fastness.

• Journal of the Korean Academic Society of Industrial Cluster
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• v.3 no.1
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• pp.11-25
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• 2009

Wind power is the most rapidly growing energy source in the world. Increased focus on climate changes and renewable energy is supporting the wind power industry in gaining momentum. Noksan wind cluster in Busan has been a major area in manufacturing the elementary parts of wind turbine. Despite growing recognition of the significance of Noksan, there has been only limited attention paid and in recent years. This paper reviews the literature of the current burning issues in wind turbine industries in the western countries. In addition, it describes the present state of Noksan wind power generation cluster and suggests the future plans to make it more effective complex.

• Journal of the Korean Home Economics Association
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• v.44 no.10
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• pp.9-20
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• 2006

Due the globalization trends of industry environment, not only fashion companies of the developed countries but also those of NICs and the developing countries are pursuing to globalize their businesses. This study was conducted (i) to identify the characteristics of international marketing mix of Korean fashion companies operating in oversea fashion markets and (ii) to analyze the performance of Korean fashion companies related to international marketing mix. The data were collected from inter-Korean fashion enterprises. A questionnaire was distributed to a person in charge of international division/international trade division who doing business in domestic market and a person in charge of a local subsidiary in oversea market. The methods of analysis used in this study were factor analysis, cluster analysis, and one-way ANOVA. The results of this study are as follows: First, according to factor analysis and cluser analysis, Korean fashion companies were classified in four (4) clusters. The fashion companies in Cluster I put their priority on price. The companies in Cluster II are traditional fashion companies which have relatively low power of product and price. The companies in Cluster III put their priority on product, and the companies in Cluster IV put their priority on local market. Second, according to ANOVA, a growth rate of sales make significant difference among 4 clusters and Clusters II and III were comparatively high in performance.