• Journal of radiological science and technology
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• v.45 no.2
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• pp.111-116
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• 2022

In this study, the applicability of machine learning for the development of a simulator for general X-ray examination education is evaluated. To this end, k-nearest neighbor(kNN), support vector machine(SVM) and neural network(NN) classification models are analyzed to present the most suitable model by analyzing the results. Image data was obtained by taking 100 photos each corresponding to Posterior anterior(PA), Posterior anterior oblique(Obl), Lateral(Lat), Fan lateral(Fan lat). 70% of the acquired 400 image data were used as training sets for learning machine learning models and 30% were used as test sets for evaluation. and prediction model was constructed for right-handed PA, Obl, Lat, Fan lat image classification. Based on the data set, after constructing the classification model using the kNN, SVM, and NN models, each model was compared through an error matrix. As a result of the evaluation, the accuracy of kNN was 0.967 area under curve(AUC) was 0.993, and the accuracy of SVM was 0.992 AUC was 1.000. The accuracy of NN was 0.992 and AUC was 0.999, which was slightly lower in kNN, but all three models recorded high accuracy and AUC. In this study, right-handed PA, Obl, Lat, Fan lat images were classified and predicted using the machine learning classification models, kNN, SVM, and NN models. The prediction showed that SVM and NN were the same at 0.992, and AUC was similar at 1.000 and 0.999, indicating that both models showed high predictive power and were applicable to educational simulators.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.1
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• pp.405-423
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• 2022

The purpose of this study was to establish a national R&D lifecycle and to propose a research support service plan. In particular, in terms of providing research support services, a plan to provide services in connection with IRIS and NTIS, which are national research support systems, was proposed. To this end, the current status of IRIS and NTIS was analyzed, a linkage plan according to the role of each system was proposed, and an R&D lifecycle was established by analyzing previous studies and cases at home and abroad. Through current status analysis and case analysis, research support services that can be provided at each stage on the entire R&D lifecycle were proposed.

• Journal of Environmental Policy
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• v.11 no.4
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• pp.3-37
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• 2012

In perspective of biodiversity conservation and protected areas (PAs), the aims of the study are to review the mid-long term national plans, which deal with national territory and environment in Korea, and to find out the way to improve this issue. Key issues were drawn by referring "Biodiversity 2011-2020 Strategic Targets" and "Protected Area Decision" in CBD CoP-10 and 7 National comprehensive or basic Plans were reviewed. Quoting Biodiversity 2011-2020 Strategic Target 5, "By 2020, the rate of loss of all natural habitats, including forests, is at least halved and where feasible brought close to zero, and degradation and fragmentation is significantly reduced", most of national plans included various methods such as "No Net Loss of Green", "No Net Loss of Wetlands", and so on. Regarding the target 11, "By 2020, at least 17% of terrestrial and inland water, and 10% of coastal and marine areas, ecologically representative and well connected systems of PAs and other effective area-based conservation measures, and integrated into the wider landscape and seascapes", 15% by 2015 was set up as a target of total PAs in Korea and 13% by 2015 or 2020 was set up as a target of coastal and marine PAs. CBD CoP-10 Decision X/31 (Protected Areas) invites parties to develop a national long-term action plan for the implementation of PoWPA and describes 10 issues that need greater attention. National action plan for the implementation of PoWPA doesn't be mentioned at any national plans even PoWPA. Regarding the 10 issues, most of issues were well reflected within various national plans, however there is still a need to improve the details and corelation between plans. Particularly, in terms of management effectiveness evaluation (MEE), there was no national plan to directly deal with MEE even though CBD invites parties to work towards assessing 60% of the total PAs by 2015. Based on the review results, below 4 items were suggested; (1)"The Comprehensive Plan of the National Territory" needs more attention on the Biodiversity Conservation and PAs, (2)Consider to establish "National PA System Plan" embedded into "the Comprehensive Plan of National Environment", (3)Establish a "National Action Plan for the implementation of PoWPA", (4)Improve the National Plans through linking with Biodiversity 2011-2020 Strategic Targets and relevant PA key issues.

• Journal of Korean Society of Environmental Engineers
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• v.35 no.8
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• pp.533-539
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• 2013

Korea is one of the top countries that has funded great amount to promote basic research and others in recent decade. While the quantity of R&D fund in Korea has rapidly increased, the effectiveness and quality of R&D outcomes became a controversial issue. National Research Foundation of Korea (NRF) and Korea Environmental Industry & Technology Institute (KEITI) agreed to collaborate for diffusing and utilizing R&D outcomes of each institute. NSF and KEITI signed the bilateral MOU in 2012, and Interministerial Collaborative R&D Support Framework (ICR&DSF) was developed. The ICR&DSF consist of launching an Eco-Bridge Program as an interministerial R&D program and composition of Environmental Convergence R&D Bridge Committee. The Eco-Bridge Program was applied to 'Environmental Convergence Technology Project' of KEITI as a pilot program in 2012. The unique feature of this interministerial R&D program is that the Eco-Bridge Program directly supports the basic research outcomes which are previously funded by NRF. As the collaboration between NRF and KEITI becomes stronger, it is expected to explore the more creative and the more transformative research.

• Journal of Korea Technology Innovation Society
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• v.19 no.4
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• pp.711-735
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• 2016

Drug Development is very important for promoting public health and pharmaceutical industry. There has been many studies on the efficiency of drug development, but there are few studies on the drug development R&D performed by government. Since CCR model assumes unidirectional influence of input and output, it is not appropriate to analyze the efficiency of R&D due to the time-lag and spill-over effect. Also, BBC model which assumes variable returns to scale has difficulty in deriving priorities between decision making units. Recently, Range Adjusted Measure (RAM) model has been suggested in R&D efficiency analysis. RAM model measures the efficincy by eliminating inefficiencies under variable returns to scale assumption, and its strong monotonicity enables to provide clear priorities between decision making units. In this study, we analyzed the efficiency of national R&D programs for drug development using the two-step approach, including RAM model and Tobit regression analysis, and discussed major policy implications.

• Journal of the Korean Society of Radiology
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• v.16 no.2
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• pp.169-175
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• 2022

In this study, envisioned a laboratory equipped with virus blocking equipment for chest X-ray examinations of respiratory or droplet-transmitted virus-infected patients, and the material with the least deterioration in X-ray output and image quality among the proven blocking materials that block viruses in the design process. and experimented to find the thickness. As a result, when 1 cm of acrylic was applied, the X-ray output was reduced by only about 3.27 % compared to the absence of the barrier material, the SNR was 40.7 and CNR was 30.9, which was the best. The SSIM index result was analyzed as 0.891, which was analyzed to be implemented as the most similar image compared to the original image. The barrier material applied in the research method was objective in that it used a product approved by the Ministry of Food and Drug Safety. the results of this study are expected to provide useful information when installing X-ray examination facilities for the diagnosis and treatment of respiratory-related virus-infected patients in the future.