• Journal of Korea Technology Innovation Society
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• v.19 no.2
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• pp.358-394
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• 2016

In Korea, co-utilization of research equipments has been low, even though co-utilization policies for them have been implemented for a long time. This situation results because the policy formation and implementation for the co-utilization of research equipments have been conducted from the perspectives of the policy maker not from those of the researchers and equipment managers. Therefore, this work has been conducted for analyzing the current state of co-utilization of research equipments as well as for discussing the future developments of its more co-utilization in the basic research programs by adopting the bottom approach in policy implementation theory. The research shows that firstly principal investigators, especially professors in universities, have placed a relatively low priority on the co-utilization of research equipments, secondly implementation resources such as high quality technicians and affordable budget for co-utilization are scare, thirdly incentives for the activation of co-utilization in the stage of daily operation of research equipments are lacking. As a result, the study tries to develop a more economic means and information tools for the promotion of co-utilization of research equipments in the perspectives of bottom-up approach in policy implementation theory.

• Journal of Korea Technology Innovation Society
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• v.9 no.3
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• pp.471-495
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• 2006

This paper reviews the distribution patterns of research equipments in Korea. We start, however, discussion with the introduction to research equipments, theoretical issues and rationale for government intervention. Nation-wide distribution of research equipments is shown by region, type of institution, university, and major equipment. Old patterns are derived from the history of equipping science, and three new current patterns are introduced. Based on this discussion, we recommend policies for research equipments.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.121-142
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• 2007

The purpose of this study is to construct the evaluation model for the major science research facilities and equipments to enhance the competitiveness of the science and technology and also to test the reliability and validity of the model. To achieve the purposes, this study theoretically reviews the concept of the major science research facilities and equipments and their characteristics. Through a review of literature, this study draws 11 criteria for evaluating the priorities of the major science research facilities and equipments. These criteria are categorized as two dimensions - 'science & technology' and 'national policy'. The dimension of science & technology includes scientific importance, technological readiness, utilization rate, common utilization rate, and ability of management and operation. The national policy dimension contains degree of correspondence with national science development, imperativeness of national policy, science and technical effectiveness, economic and industrial effectiveness, responsiveness of research demand, and equity among the related institutions. The competitiveness of the science and technology consists of these two dimensions. The evaluation model is established on the framework of criteria. The 18 major science research facilities and equipments are selected through a series of Delphi. The survey of experts (BT, ET, IT, NT and ST) is also implemented to evaluate the 18 major science research facilities and equipments by 11 criteria. The overall results indicate that the reliability and validity of the model are good. The reliability tests show that the five indicators of science & technology and the six indicators of national policy have high internal consistencies. The confirmatory factor analyses reveal that the two constructs - 'science & technology' and 'national policy' - have high convergent and discriminant validity. The correlational analyses also show that the criteria-related validity between them is high. Furthermore, the results of higher order factor analysis indicate that the fit indices of the model are high and suggest a good fit to the data. Based on these findings, the policy implications of the model are discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.5
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• pp.322-333
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• 2019

The purpose of the current study was to investigate the level of market size and market share of domestic research equipments for analyzing the difference of the number and amount of construction by the manufacturing countries in the basic and analytical science fields based on the information of the research equipment invested by the Korean government for the past 14 years. As of January 1 2019, from 2005 to 2018, 20,687 research facilities & equipments (main equipment with a construction cost of 30 million won or more) built in the basic and analytical science fields were selected for this study and their components, standard classification, number of construction, and amount of construction by country of manufacture were analyzed. Differences of the number and amount of construction among manufacturing countries were tested using a single sample chi-square test and one-way analysis of variance, followed by Bonferroni's post-hoc test. As a result of this study, the number of construction (p<.001) and construction amount (p<.05) were statistically different for each manufacturing country. The level of market size and market share was significantly different according to the equipment standard classification (p<.05). Therefore, differentiated strategies of the government and policy research projects will be required for each type of equipment and amount in order to support the policy for the localization of research equipment.

• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.3
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• pp.109-123
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• 1999

Fleet sizing and empty equipment redistribution are two of the most critical problems in managing a fleet of equipment over a transportation network. Where the demand pattern followed the compound Poisson process(CPP) which can be generated one or more at a time under homogeneous Poisson process(HPP), this paper presented a mathematical model to determine control parameters of a decentralized distribution policy and fleet size in case of the pure hub-and-spoke system, a popular form of a logistics system. and validated this model by simulation. That is, where the number of demanded equipments followed geometric and binomial distributions, respectively, cost models on the pure hub-and-spoke logistics system with deterministic trans-portation times, which could be solved analytically, were established and analyzed. We also compared the deterministic case with stochastic one that the transportation time follows some probability distributions.

• Journal of the Korean Operations Research and Management Science Society
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• v.3 no.2
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• pp.91-93
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• 1978

A methodology which can be employed to obtain an optimal preventive maintenance policy that maximizes the total machine running time over the specified working period is proposed. A system considered is comprised of m machines and r

• Journal of the military operations research society of Korea
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• v.7 no.2
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• pp.100-113
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• 1981

A replacement policy for a finite time span is proposed for the cumulative process where an item can fail only when the total amount of deterioration exceeds a prespecified failure level. The optimal deterioration limit level is determined to minimize the total cost expected per unit for a given time span. An illustrative example in case of periodically inspected reformer tubes in ammonia plant is also presented.

• Journal of the Society of Disaster Information
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• v.14 no.2
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• pp.154-164
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• 2018

Purpose: Recent climate change makes weather-related disasters such as summer storms, heavy rains, winter snowfall disasters, and extreme cold temperature increase in trend. Heavy snowfall disasters requires speedy response due to various effects to traffic flows, buildings, and infrastructure. Heavy snowfall disaster response of South Korea is insufficient, even though heavy snowfall disasters affect urban safety. There have been lack of policy studies for heavy snowfall disasters. Method: This research analyzes case studies and explores implications using Information system technologies to snow removal vehicles and equipments for speedy snow removal during the heavy snowfall disasters. Results: Information system technology attachment to snow removal equipments can identify locations of snow removal vehicles and equipments for emergency period to support snow removal of adjacent jurisdictions. Conclusion: Case studies of this research can be further used for efficient application of snow removal tools of local governments.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.3
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• pp.14-24
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• 2006

There are many problems and limits in equipments being used for traffic-volume analysis in the country. And traffic-volume information acquired through existing equipments is not provided in real-time. In the case of urban, there are limits on guarantee of trust on comprehending a appropriate road-volume because of difficulty on analyzing traffic-volume density and time series. And it is difficult to applicate in deciding a road policy as existing equipments don't provide the control information of traffic-flow. Therefore, it is necessary to build a road-flow policy rapidly and accurately through the road-flow information that analyze post-processed statistics data using traffic-flow investigation based on real time. In this study, we developed TICS(Traffic Information Collection System) based on GPS which could transmit traffic information transformed from car location information to traffic control center. And we developed TCS(Traffic Control System) based on Web GIS, which could manage and analyze transmitted traffic information, and it could offer handled road-flow information to Web-site in realtime.

• Health Policy and Management
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• v.24 no.2
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• pp.109-119
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• 2014

In accordance with the government's plan to expand the national health insurance (NHI) coverage for severe diseases such as cancer, heart disease, cerebrovascular disease, and rare and incurable disease, the diagnostic ultrasound services have been covered by NHI from October 1, 2013. The quality is very important factor in providing diagnostic services because they influence on the diagnosis, treatment, and outcome of diseases. In particular, equipments and health care providers plays an important role in providing qualitative services. The purpose of this paper is to examine the major feature of ultrasound services covered by health security system and to review quality assurance policies in other countries such as Australia, Japan, the USA, and Canada. In addition, we assessed the implication of those policies. We especially put emphasis on the types and qualifications of healthcare professionals and measures to manage equipments. All countries have reviewed on policies to promote the quality such as educational requirements of professionals or restrictions on the duration of equipment usage. Various measures should be implemented to assure the qualitative ultrasound service.