• Journal of Korea Technology Innovation Society
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• v.14 no.2
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• pp.301-319
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• 2011

This research focused on the strategy consulting of the 'Pankyo Technovalley' for the formation of the innovation clusters The study was performed based on both theoretical study and related qualitative study approaches. Particularly, 'scenario planning' as a foresight method was used for the strategy formulation of the innovation clusters. The major determinants for the success of the formation of the innovation clusters can be summarized as follows; the enhancement of the service of the host institution of clusters, the alignment of the national cluster policy with the strategy of the host institution and the networks of the clusters. In terms of the needs of times, this study regarding the strategy for the formation of the innovation clusters is anticipated to be a good reference for the R&D organizations and technology cluster participants in coming years.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1081-1089
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• 2013

The purpose of this paper is to suggest the formation plan of green cluster for the enhancement of green industry competitiveness in Korea. For this reason, this paper has the analysis to find out regional competitiveness and effective factors in the green industry. The major findings are as follows. First, the renewable energy industry was competitive at Gyeonggi, Gyeongnam, Chungbuk, Chungnam, Ulsan, Jeonnam, and the carbon reduction industry was competitive at Ulsan, Gyeonggi, Gyeongbuk,, Chungnam, Seoul, Chungbuk, Inchon. Second, the most important factors of the renewable energy industry was factor condition, such as business, labor, research and development; while in the carbon reduction industry was sector of structure and rivalry, such as performance, policy and institution, market share, industry specialization. Third, it showed that the green industry was more competitive at the local area with the better industrial infrastructure. So, we need to focus on the green of existing industry-infrastructure, and the strategy of selection and concentration, for the enhancement of green industry competitiveness in Korea.

• Journal of Korean Society of Rural Planning
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• v.22 no.2
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• pp.153-164
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• 2016

Developed countries in agriculture like Netherlands, Belgium and England, have managed Green Care policy and project during the last decades. The needs in Green Care is also increasing as new growth power in rural area of Korea. This study investigated sites which are already operating as complex with Green Care theme. This study surveyed the operating conditions like type, scale, location pattern, purpose, customer and finance for cases of the complex. The period of the survey is from 2015. 8. 11 to 2015. 09. 10 for the 24 activated cases in aspect of operation and management. Among the 24 cases, 16 cases were classified as Green Care Complex which facilities are aggregated a place, and the other 8 cases as Green Care Cluster which are distributed at several places. The analysis result showed that there were apparent distinction among cases in total budget, costs of construction, capacity for guest, and the total number of annual visitors. Despite of the type and scale the accommodation cost, the number of workers, and amount of sales have small deviation in distribution of values, although the cases have various type of contents and scale of space. The result of this study can be used as data of bench marking to develop the Green Care Complex or Cluster in rural area.

• Journal of the Korea Computer Industry Society
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• v.3 no.1
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• pp.77-84
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• 2002

An cluster system used consist of large number of running servers, one has the problem that does the low availability occured by the high chance of the server failures and it is difficult to provide occuring software aging. In this paper, running cluster web servers consists of n primary servers and k backup servers, based on the operational parameters such as number of running primary servers, number of backup severs, rejuvenation period, rejuvenation time, failure rate of sewers, repair rate of servers, unstable rate of servers. We calculate to evaluate the rejuvenation policy such steady-state probabilities, downtime, availability, and downtime cost. We validate the solutions of mathematical model by experiments based on various operation parameters and find that the software rejuvenation method can be adopted as prventive fault tolerant technique for stability of system. The failure rate and unstable rate of the servers are essential factors for decision making of the rejuvenation policies.

• Journal of Wetlands Research
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• v.21 no.3
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• pp.215-223
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• 2019

In this study, we analyzed the water quality characteristics of major tributaries of Nakdong River through statistical analysis such as correlation analysis, principal component and factor analysis, and cluster analysis. Organic matter and nutrients are highly correlated, and are high in spring and autumn, and seasonal water quality management is required. Principal component and factor analysis showed that 82% of total variance could be explained by 4 principal components such as organic matter, nutrients, nature, and weather. BOD, COD, TOC, and TP items were analyzed as major influencing factors. As a result of the cluster analysis, the four clusters were classified according to seasonal organic matter and nutrient pollution. Kumho River watershed showed high pollution characteristics in all seasons. Therefore, effective management of water quality in tributary streams requires measures in consideration of spatio-temporal characteristics and multivariate statistical techniques may be useful in water quality management and policy formulation.

• Korean Journal of Agricultural Science
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• v.45 no.4
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• pp.889-903
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• 2018

The purposes of this study were to classify consumer types and to analyze purchase behavior depending on food safety attitudes related to the Fukushima nuclear accident. Based on the consumer survey data, factor analysis and cluster analysis were done to classify consumer types. Applying factor analysis, six factors with a total variance of 73.4% were extracted from 22 basic variables. The 6 factors were termed 'anxiety from ingesting agricultural and fishery products after the nuclear accident', 'importance of food safety when purchasing food', 'reduced rate of purchases of agricultural and fishery products after the accident', 'importance of food prices', 'socio-demographic characteristics' and 'family composition'. Using cluster analysis, consumers were classified into 5 types using the factor scores of 6 factors. The main results are as follows. For every consumer type, the anxiety about imported agricultural and fishery products was higher than that for domestic products after the nuclear accident. The food safety attitudes of consumers were mainly formed by the socio-demographic characteristics. Consumer types with high-education and high-income responded flexibly to the food safety concerning the accident; especially, the consumer type with a high-income and kids under 19 responded very reasonably to the accident. However, consumer types with a low-income and aged over 50 or less than 30 years were the least responsive to the accident, mainly due to financial restrictions. Thus, we suggest some food safety strategies and policy implications based on consumer type for food safety after the accident.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.355-364
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• 2019

The purpose of this study is to present the implications of analyzing users' market segmentation and characteristics based on the tourism SNS lovemarks experience. The results are as follows. First as a result of conducting factor analysis of tourism SNS lovemarks experience, five factors explained namely, mystery, sensuality, intimacy, trust, reputation. Second, as a result of conducting cluster analysis, four cluster groups were identified (reputation/sensuality centered experience group, high lovemarks experience group, intimacy centered experience group, low lovemarks experience group) and each characteristics were profiled. Third, as a result of Chi-square analysis and correspondence analysis, there was a difference in the characteristics of tourism SNS usage by cluster. Fourth, higher tourism SNS lovemarks experience segmented groups were more likely to recognize the degree of experiential value, satisfaction, behavioral intention.

• The Journal of Information Systems
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• v.30 no.2
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• pp.147-163
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• 2021

Purpose The study aims to predict real estate prices by utilizing regional characteristics. Since real estate has the characteristic of immobility, the characteristics of a region have a great influence on the price of real estate. In addition, real estate prices are closely related to economic development and are a major concern for policy makers and investors. Accurate house price forecasting is necessary to prepare for the impact of house price fluctuations. To improve the performance of our predictive models, we applied LSTM, a widely used deep learning technique for predicting time series data. Design/methodology/approach This study used time series data on real estate prices provided by the Ministry of Land, Infrastructure and Transport. For time series data preprocessing, HP filters were applied to decompose trends and SOM was used to cluster regions with similar price directions. To build a real estate price prediction model, SVR and LSTM were applied, and the prices of regions classified into similar clusters by SOM were used as input variables. Findings The clustering results showed that the region of the same cluster was geographically close, and it was possible to confirm the characteristics of being classified as the same cluster even if there was a price level and a similar industry group. As a result of predicting real estate prices in 1, 2, and 3 months, LSTM showed better predictive performance than SVR, and LSTM showed better predictive performance in long-term forecasting 3 months later than in 1-month short-term forecasting.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.184-194
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• 2023

Purpose: The purpose of this study is to identify the characteristics of C02 emissions by road before establishing a policy to reduce greenhouse gas emissions. Method: As for the analysis method, the traffic volume and speed of the road were estimated using the traffic Assignment model targeting 27 arterial road axes in Incheon Metropolitan City. And, after estimating CO2 emissions by road axis by applying this, the characteristics of each group were analyzed through cluster analysis. Result: As a result of cluster analysis using total CO2 emissions, CO2 emissions by truck vehicles, and the ratio of truck vehicle emissions to total carbon dioxide emissions, four clusters were classified. When examining the characteristics of each road included in each group, it was analyzed that the characteristics of each group appeared according to the level of impact by CO2 emissions and truck vehicles. Conclusion: It is judged that it is necessary to establish a plan in consideration of CO2 emission characteristics for road CO2 management for greenhouse gas reduction.

• Journal of the Korean Geographical Society
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• v.30 no.2
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• pp.120-131
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• 1995

To analyze mobility patterns, this study used three Constraint (Capability Constraint, Coupling Constraint, Authority Constraint) models which were proposed in Dr. Hagerstrand's Time-space theory. This paper shows that three constraint models have some effects upon mobility by age. In this study, Capability Constraint means a certain special constraint that is what we can't do during proceeding basic natural urges like sleep, fare, etc. Coupling constraint is a physical one. Each person limits the action range for staying on a special place in special time. For instance, students have to stay in school so that they have mobility constraints. Authority Constraint is a social one. When we use urban facilities or traffic, we may be controlled by mobility sphere by an agreement or a social position. It is social agreement that the opening hour of a store, the time table of mass-transportation and a social positional control that the personal income, the standard of education. In this study it has been in a process of determination of the cluster number that degree of influences a social constraint to mobility. Considering the mobility constraint of characteristics of space divides urban and rural, people in urban area have higher mobility rate than in rural area. Resuets of determination of the cluster, show similar mobility pattern. People in urban area are connected verity of mobility which related to urban space structures with determination of cluste-number. That is to say, mobility patterns can be changed by space charactcristics. Constraints by sex and age are also social constraints and they are influenced by mobility patterns. For instance, females at the age of twenties have similar mobility pattern to the same age male but they have sudden changes after thirty's age. Male entertains a similar pattern without restriction of age. That is to say, management by sex as a social constraint affects mobility. To establish more realistic traffie policy, mobility formation should be reflected to the space in a view of social-behavioral science. To embody this, some problems should be investigated as follows. 1. As a problem of methodology, if sufficient samples ensured, we could subdivide clusters and could open up a new method of analyzing the mobility clusters by using the neuro-network. 2. Extracting actions connected with mobility and finding life cycle which is classified by daily cluste-characteristics, suitable counterproposal could be presented to the traific policy.