• Journal of Veterinary Science
• /
• v.22 no.5
• /
• pp.71.1-71.12
• /
• 2021

Background: African swine fever (ASF) is a hemorrhagic fever occurring in wild boars (Sus scrofa) and domestic pigs. The epidemic situation of ASF in South Korean wild boars has increased the risk of ASF in domestic pig farms. Although basic reproduction number (R₀) can be applied for control policies, it is challenging to estimate the R₀ for ASF in wild boars due to surveillance bias, lack of wild boar population data, and the effect of ASF-positive wild boar carcass on disease dynamics. Objectives: This study was undertaken to estimate the R₀ of ASF in wild boars in South Korea, and subsequently analyze the spatiotemporal heterogeneity. Methods: We detected the local transmission clusters using the spatiotemporal clustering algorithm, which was modified to incorporate the effect of ASF-positive wild boar carcass. With the assumption of exponential growth, R₀ was estimated for each cluster. The temporal change of the estimates and its association with the habitat suitability of wild boar were analyzed. Results: Totally, 22 local transmission clusters were detected, showing seasonal patterns occurring in winter and spring. Mean value of R₀ of each cluster was 1.54. The estimates showed a temporal increasing trend and positive association with habitat suitability of wild boar. Conclusions: The disease dynamics among wild boars seems to have worsened over time. Thus, in areas with a high elevation and suitable for wild boars, practical methods need to be contrived to ratify the control policies for wild boars.

• Journal of the Society of Disaster Information
• /
• v.18 no.2
• /
• pp.351-363
• /
• 2022

Purpose: The objective of this research is to find manufacturing employment clusters of the disaster safety sector in South Korea. Method: The LISA(Local Indicator of Spatial Association) analysis method is applied to the employment data of 229 local governments categorized by the 2019 Korean Standard Industry Classification and Disaster Safety Industry Special Classification. The LISA method identifies the spatial dependency of employment and the spatial cluster of industries. Result: Three research findings are summarized. First, employment of the disaster safety industry in South Korea occupies about six percent of the total manufacturing industry. The annual proportion is in increasing trend. Second, the employment cluster of the disaster safety industry is located in the western side of the Seoul metropolitan region. Third, manufacturing businesses of industrial safety goods preventing industrial accidents are concentrated in regions of Busan, Ulsan, Changwon, Gyeongnam, and Gimhae, where heavy and chemical industries and industrial complexes are formed. Conclusion: Investment and promotion policies are suggested to the manufacturing employment clusters of the disaster safety industry for fostering these regions. Research results can be used to the better policies for industrial development and employment improvement of manufacturing clusters of the disaster safety industry in South Korea.

• Journal of the Economic Geographical Society of Korea
• /
• v.16 no.2
• /
• pp.293-309
• /
• 2013

Innovation clusters have different factors depending on different stages. Innovation clusters in Gyeonggi now are early stages, which are necessary to investigate factors so that they go into upstages. Silicon Valley is known as one of the best innovation clusters, which are now represented as the forms of related variety. The purpose of the paper is to investigate current situation of innovation clusters in Silicon Valley and suggest appropriate policies for the development of innovation clusters in Gyeonggi. In order to do this, we visit several representative institutions regarding infra, human-training, industry-academic-institution cooperation, start-up assistance and local government. Throughout the case study, we propose implications, and produce policy tasks for the development of cluster policy in Gyeonggi.

• Korean journal of food and cookery science
• /
• v.19 no.3
• /
• pp.308-317
• /
• 2003

The purpose of this study was to identify combinations of factors, with regard to the use of restaurants by tourists, and to establish the relative importance of these factors in terms of their contribution to the total usage. Of 250 questionnaires, 209 were utilized for analysis in this study. Crosstabs, conjoint analysis, paired-samples t-test, k-means cluster analysis, one-way ANOVA analysis, and the Friedman test were used for the statistical analysis. The findings from this study were as follows: First, the Pearson's R and Kendall's tau statistics show that the model fits the data well. Second, it was found that 209 tourists most preferred restaurants that provided excellent quality traditional food, with a high quality of service, at a cheap price for the suburb. The 81 tourists of the first cluster most preferred restaurant that provided excellent quality fusion food, at a cheap price for the suburb. The 65 tourists of tile second cluster most preferred restaurant that provided average quality national food, at an expensive price for the suburb. The 63 tourists of the third cluster most preferred restaurant that provided excellent quality traditional food, at a reasonable price for the suburb. Third, it wis found that all tourists and the three clusters groups regarded both the type of food and its price to be very important factors. Finally, the results used in this study have provided some insight into the types of marketing strategies and tourism policies that may be successfully used by the operators and policymakers managing a location, the quality, price and type of food, and quality of service required by tourists dining at restaurants.

• Journal of the Economic Geographical Society of Korea
• /
• v.15 no.4
• /
• pp.642-659
• /
• 2012

The main aim of this article is to examine theoretical issues on the 'global-local connectivity' of regional industrial cluster and regional innovation system which have been presented since the 2000s in terms of three different aspects. Firstly, the concept of 'geographical proximity' is discussed within the context of its importance for the regional industrial development by considering relationships of cluster, local buzz and global pipeline. Secondly, concepts on knowledge gatekeeper and temporary cluster are explored with respect to their role of a mediator in forming or transforming global-local connectivity. Finally, policy implications of the global-local connection are presented. Authors arguments are as follows; firstly, in order to improve regional industrial cluster on the basis of geographical proximity, relational proximity which is beyond different spatial scales has to be secured. It means that geographical convenience and inconvenience are required simultaneously for regional industrial development. Secondly, A base of the global-local connectivity is socal capital and embeddedness. Therefore, it needs to understand that relational proximity is embedded into different culture and habit at different spatial scales. Finally, within the context of the global-local connectivity, in order to overcome spatial hierarchy by the division of labor of firms, it needs to consider the complex system which is composed of vertical and horizontal hierarchy by the spatial division of labor by firms, openness and closeness of clusters, and the scope of policies' inclusion and exclusion by central and local governments.

• Journal of the Korean Geographical Society
• /
• v.47 no.2
• /
• pp.226-244
• /
• 2012

This paper aims to analyze the process of the evolution of Gumi electronics industrial cluster and to understand the role of governments for local industrial dynamics. Gumi was a typical satellite platform type new industrial district up to mid-1990s. At that time, Gumi industrial park was the agglomeration of branch plants headquartered in Capital Region with weak local linkages. During the last two decades, however, Gumi has evolved to an electronics industrial cluster with considerable local interfirm linkages and innovation activities of SMEs. Recognizing government industrial policies is critical in understanding the process of the evolution of Gumi electronics cluster. At the early stage, the state was the developer and locator of business activities within the confines of the Gumi industrial park. In recent years, central government's innovative cluster policy contributed to strengthening networks among firms, universities, and research centers to form local innovation networks as well as networks between large branch plants and SMEs. Gumi city and Gyungsangbuk-do promoted innovative activities of SMEs through the supports of cooperative networks between universities and SMEs. The increasing roles of SMEs and local governments in addition to the large branch plants and the central government have become the basis of the evolution of industrial cluster in Gumi.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.25 no.1
• /
• pp.41-55
• /
• 2022

Social interest in the fine particulate matter has increased significantly since the 2010s, and various efforts have been made to reduce it through environmental plans and policies. To support such environmental planning, in this study, spatial cluster characteristics of fine particulate matter (PM2.5) concentrations were analyzed in the metropolitan area to identify high-risk areas spatially, and the correlation with local environmental characteristics was also confirmed. The PM2.5 concentration for the recent 5 years (2016-2020) was targeted, and representative spatial statistical methods Getis-Ord Gi^* and Local Moran's I were applied. As a result of the analysis, the cluster form was different in Getis-Ord Gi^* and Local Moran's I, but they show high similarity in direction, therefore complementary results could be obtained. In the high concentration period, the hotspot concentration of the Getis-Ord Gi* method increased, but in Local Moran's I, the HH region, the high concentration cluster, showed a decreasing trend. Hotspots of the Getis-Ord Gi^* technique were prominent in the Pyeongtaek-Hwaseong and Yeoju-Icheon regions, and the HH cluster of Local Moran's I was located in the southwest, and the LL cluster was located in the northeast. As in the case of the metropolitan area, in the results of Seoul, there was a phenomenon of division between the northeast and southwest regions. The PM2.5 concentration showed a high correlation with the elevation, vegetation greenness and the industrial area ratio. During the high concentration period, the relation with vegetation greenness increased, and the elevation and industrial area ratio increased in the case of the annual average. This suggests that the function of vegetation can be maximized at a high concentration period, and the influence of topography and industrial areas is large on average. This characteristic was also confirmed in the basic statistics for each major cluster. The spatial clustering characteristics of PM2.5 can be considered in the national land and environmental plan at the metropolitan level. In particular, it will be effective to utilize the clustering characteristics based on the annual average concentration, which contributes to domestic emissions.

• Journal of Information Processing Systems
• /
• v.5 no.2
• /
• pp.69-76
• /
• 2009

Self healing systems are considered as cognation-enabled sub form of fault tolerance system. But our experiments that we report in this paper show that self healing systems can be used for performance optimization, configuration management, access control management and bunch of other functions. The exponential complexity that results from interaction between autonomic systems and users (software and human users) has hindered the deployment and user of intelligent systems for a while now. We show that if that exceptional complexity is converted into self-growing knowledge (policies in our case), can make up for initial development cost of building an intelligent system. In this paper, we report the application of AHSEN (Autonomic Healing-based Self management Engine) to in OKKAM Project infrastructure backbone cluster that mimics the web service based architecture of u-Zone gateway infrastructure. The 'blind' load division on per-request bases is not optimal for distributed and performance hungry infrastructure such as OKKAM. The approach adopted assesses the active threads on the virtual machine and does resource estimates for active processes. The availability of a certain server is represented through worker modules at load server. Our simulation results on the OKKAM infrastructure show that the self healing significantly improves the performance and clearly demarcates the logical ambiguities in contemporary designs of self healing infrastructures proposed for large scale computing infrastructures.

• The Journal of Fisheries Business Administration
• /
• v.52 no.1
• /
• pp.83-99
• /
• 2021

Fisheries policies are diversifying, including welfare programs for fishermen, revitalization of earfish and villages, and support for the sixth industrialization of fishing villages. In response to these policy changes, the purpose of this study is to categorize the fishing village fraternity, which is a local community, a fishery production organization, and a basic unit of a fishing village, and compares the characteristics of each type A number of indicators were selected by collecting data on the Categorization and evaluation of fishing villages fraternity and the statistical geographic information service. A number of indicators were extracted as representative factor variables using the principal component analysis, and then cluster analysis was performed to categorize the fishing village fraternity. This study was the first to attempt a comprehensive approach to revitalize the fishing village economy by using not only demographic and social characteristics, industrial and economic characteristics, but also regional characteristics. The characteristics of each type of fishing village fraternity find its significance in that it provides basic information that can be used in policy decisions. In order to strengthen the sustainability of the fishing community in the future and contribute to the sustainable development at the national level, the development of sustainable fishing village fraternity development indicators and follow-up studies on fishing village regeneration strategies will be needed.

• Journal of Korean Society of Transportation
• /
• v.17 no.3
• /
• pp.21-30
• /
• 1999

One of the major tasks of a Police station is the management of road traffic accidents. Each police station is responsible for keeping Traffic Accident Records (TAR) which can be used as the basis of statistical analyses. Results of such statistical analyses have been applied to establishing effective traffic Plans and safety Policies at the macro level. In this Paper, we apply QFD in a way that each police station can set and implement specific policies according to the local characteristics. Cluster analysis is employed to find black spots in each local area. Poisson repression is used to identify the area specific factors related to various types of road accidents. Results of such statistical analyses are applied to QFD. Our approach is expected to contribute to reduce various types of area specific road traffic accidents.