• Asian Journal of Turfgrass Science
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• v.23 no.1
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• pp.151-162
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• 2009

When viewing that since the 1990s local governments have tried to build golf courses as a plan to revitalize the attraction of home and abroad tourists and to increase their tax incomes and that big companies are interested in leisure business including golf courses as a future promising business in the 21st century, golf courses seem to continuously increase in the future. On the contrary, noticing that golf courses are not only the main culprit behind the damage of natural environment and environmental pollution but also a target of real estate speculation and that golf makes a sense of incongruity between the classes of a society as a luxury sports, environment activists and local residents raise criticism to golf. Golf in our country shows a special sports phenomenon of which the pros and cons appear continuously. So, it is judged that policy for golf development direction should be set up based on verified scientific data. Thus, the research aims at deriving the location types of golf courses by looking at laws from the period of formation of the initial domestic golf courses to the recent period, grasping their distribution status according to time series and regions, conducting a questionnaire survey regarding location factors for golfers and the workers of golf courses, and dividing golf courses into several types. It is expected that the research will be a fundamental material when a golf course is built later on, contributing to the research of golf courses.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.473-484
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• 2017

This study analyzed collaborative R&D projects funded by the Korean government from 2013-2015. For this analysis, input and output variables of projects were considered, and a combination of those variables was itemized. The output-oriented variable return to scale (VRS) model extended from the DEA methodology was adopted to evaluate the cooperation efficiency of the types of R&D collaboration, which were classified according to the project leader's organizations. In addition, hierarchical cluster analysis was conducted using the efficiency results of the scientific, technical, and economical outcome models. The results showed that cooperation efficiency between large companies and public research institutions was relatively high. Conversely, cooperation among medium-sized companies, small businesses and universities was particularly inefficient. The clustering results demonstrated the various strengths and weaknesses of the types depending on publications, patents, technical loyalties and the number of commercialization. In conclusion, this study suggests differentiated investment portfolios and strategies based on the efficiency results of diverse cooperation types among industries, universities and public research institutions.

• 한국문화재보존과학회:학술대회논문집
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• 2003.03a
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• pp.36-37
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• 2003

• 대한방사선방어학회:학술대회논문집
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• 2009.04a
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• pp.140-141
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• 2009

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• Journal of the Korean Geographical Society
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• v.41 no.1 s.112
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• pp.58-72
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• 2006

The importance of R & D activities has been emphasized in modem economy due to rapid growth of high-tech industry. This research has taken a macroscopic approach to understand the spatial location pattern of company-affiliated R & D institute. According to the result based on this analysis, a number of company-affiliated R & D institutes have shown high centralization in Seoul Metropolitan Area(SMA); however, more serious analysis has shown that institutes have different regional tendencies based on their industrial classifications with lower high-tech tendencies show less centralization in the SMA. Moreover, it also has indicated that larger corporations or higher capability of hiring top class researcher have tendency to decentralize their institutes. The result also points out that institutes are likely to be located near their head offices or factories; or located along with other research institutes in the same industrial field. The locations of the institutes, however, have shown the regional differences as well. After taking all the characteristics into consideration, this study has categorized types of institutes locations into four groups.

• Journal of IKEEE
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• v.23 no.4
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• pp.1302-1308
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• 2019

This paper presents an approach for classifying image made by acquired position data from a 2D Lidar sensor with a convolutional neural network (CNN). Lidar sensor has been widely used for unmanned devices owing to advantages in term of data accuracy, robustness against geometry distortion and light variations. A CNN algorithm consists of one or more convolutional and pooling layers and has shown a satisfactory performance for image classification. In this paper, different types of CNN architectures based on training methods, Gradient Descent(GD) and Levenberg-arquardt(LM), are implemented. The LM method has two types based on the frequency of approximating Hessian matrix, one of the factors to update training parameters. Simulation results of the LM algorithms show better classification performance of the image data than that of the GD algorithm. In addition, the LM algorithm with more frequent Hessian matrix approximation shows a smaller error than the other type of LM algorithm.

• Journal of the Korea Society of Computer and Information
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• v.18 no.12
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• pp.11-19
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• 2013

This paper proposes an algorithm using vibration signals and texture analysis for mechanical fault diagnosis of an induction motor. We analyze characteristics of contrast and pattern of an image converted from vibration signal and extract three texture features using gray-level co-occurrence model(GLCM). Then, the extracted features are used as inputs of a multi-level support vector machine(MLSVM) which utilizes the radial basis function(RBF) kernel function to classify each fault type. In addition, we evaluate the classification performance with varying the parameter from 0.3 to 1.0 for the RBF kernel function of MLSVM, and the proposed algorithm achieved 100% classification accuracy with the parameter of the RBF from 0.3 to 1.0. Moreover, the proposed algorithm achieved about 98% classification accuracy with 15dB and 20dB noise inserted vibration signals.

• Journal of Korean Society of Disaster and Security
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• v.16 no.4
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• pp.85-99
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• 2023

By the social advancement, radiological disaster prevention planning is getting important considering complex disasters as in the Fukushima radiological disaster occurred by a chain of natural disasters. However, it has yet to be suggested the specific prevention plans for the complex disasters in the field of national radiological disaster prevention. This study aims to analyze the types of complex disasters in order to select the ones that are relatively more likely to occur in the domestic environment. It is also to analyze the impact on the radiological disaster prevention by searching damage spread of the classified natural disasters. We provides the necessary criterial for establishing disaster prevention plans through the scenarios for radiological emergency responses based on complex disasters. it is thought that these criteria can help prepare for the worst case scenario and implement effective resident protection.

• Korean Journal of Adult Nursing
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• v.28 no.5
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• pp.536-545
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• 2016

Purpose: The aim of this study was to investigate the influencing effects of type D personality on symptom experiences and quality of life in percutaneous coronary intervention patients. Methods: A descriptive, cross-sectional study design was used. A total of 158 patients with percutaneous coronary intervention participated in this study, between July 1 and November 1, 2015. Data were analyzed by means, standard deviations, t-test, $x^2$ test, ANCOVA, and stepwise multiple regression analysis using SPSS 22.0 program. Results: About 53.8% of participants were classified as type D personality. The type D personality group reported statistically significantly higher symptom experience, lower cardiac function, and lower cardiovascular-specific quality of life compared to non-type D personality group. On stepwise multiple regression, the most significant factor of quality of life was symptom experiences (adjusted $R^2=.25$, p<.001), followed by type D personality (adjusted $R^2=.31$, p<.001). Conclusion: Personality trait assessment is recommended for patients with percutaneous coronary intervention to assess symptom experiences and quality of life. In addition, development of nursing intervention might be beneficial to manage symptom experience and quality of life in percutaneous coronary intervention patients with type D personality.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.604-633
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• 2016

In this study, we attempt to identify factors that influence the performances of Korean firms regarding global R&D cooperation, and to derive policy implications for performance improvement. The hypothetic influential factors include firms' general characteristics, purposes and types of cooperation, technology, partners and their countries, and government support. We categorize the performances of global R&D cooperation into technological, economic, and strategic performance, and analyze the effects of those factors on each of the performances as well as the overall performance. We use a standard tobit model for the overall performance, while using a multivariate tobit model for the other performances to reflect the possible correlations among them. The survey data was collected from 162 Korean firms that had previously conducted or were currently conducting global R&D cooperation.