• Journal of the Korean Society for Library and Information Science
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• v.49 no.3
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• pp.135-154
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• 2015

This study was conducted to create a digital archive for local cultural contents compiled from the records of westerners who visited Korea during the Enlightenment Period of Chosun. The compiled information were gathered from 11 records, and 10 main subjects and 120 sub-subjects were derived through the subject classification scheme. Item analysis was conducted through 37 metadata, and input data types were classified and databased in Excel. Finally, a model of the digital archive system was simulated, and a webpage consisting of five menus was presented. Suggestions for future research were extensive aggregation of new data for archive expansion, active connections between archive systems, standardization of systems, and improved system design for compatibility and user-friendliness.

• Journal of Information Management
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• v.41 no.4
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• pp.93-118
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• 2010

This study was aimed to establish a workable strategies to operate KESLI consortium reliably. To encourage the research purposes, it was mainly investigated international literature on current challenges for the e-journals consortium in comparison with the domestic implications. Major issues and challenges are divided to six items by scholarly communication changes and e-journals percentage increase, a big deal for a contract -based consortium pricing model in vogue, a consortium of the price hikes and making budget difficulties, use the standard statistics by the results of the use, archiving and archive security uncertainty, and contracts public availability of such external conditions. As a result, the international challenges of E-journals consortium was similar to KESLI, but the depth of information and research on domestic was weaker than the international research. To see more research and a rational perception based on scientific evidence and alternatives that enable KESLI working in the field was needed to be.

• Aerospace Engineering and Technology
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• v.7 no.1
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• pp.15-23
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• 2008

This paper describes the structural analysis results of KARI General Small-scaled Rotor Test System (GSRTS) operated in KARI to verify operational safety. This GSRTS was developed to conduct a froude and mach small-scaled rotor test. This analysis was performed to investigate the structural Factor of Safety for the various small-scale rotor system like articulated or hingeless rotor and to check the operational capability using given operational design load. Specially, drive system has several bearings, mechanical gears, shaft, etc. and these parts must be required to achieve an operational safety. The calculation was done by using geometric data and material properties by analytical method. This rotor test system should be operated within these calculated Factor of Safety. Furthermore, the operational limitation should be defined as applied to small-scale rotor system of KUH in future.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.324-324
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• 2019

최근 급격한 기후변화 및 도시화로 인해 강우시 첨두유량이 증가하고, 도심 및 농촌지역에 비점오염원과 관련된 문제가 빈번하게 발생하고 있는 실정이다. 비점오염원에 대한 관리는 발생원 및 특성 파악이 어려운 특성으로 인해 관리가 미흡하며, 이에 따라 비점오염원 관리의 중요성이 커지고 있다. 각 토지이용별로 발생하는 비점오염원을 적절하게 관리하기 위해서는 유역별 비점오염원 발생특성에 대한 파악이 우선적으로 이루어져야 하며 다양한 관리기법에 대한 분석이 필요하다. 이에 본 연구에서는 SWAT모형을 이용하여 비점저감시설을 적용하였을 때의 비점오염부하량의 변화에 대한 분석을 진행하였다. 본 연구에서는 도시유역, 농업유역, 복합유역을 대상으로 비점저감시설을 적용하였을 때 비점오염부하량의 변화를 분석하였다. 우선 유역별 유출량 및 비점오염부하량을 모의하기 위하여 SWAT모델을 사용하였다. 모의된 유출량 및 비점오염부하량은 수질 측정 성과를 이용하여 보정을 수행하였다. 이후 비점오염 취약 소유역 선정을 위해 수질항목별 연간 비점오염부하량 크기에 따라 순위를 산정하고, 순위를 산술 평균하여 소유역별 전체 오염원에 대한 비점오염부하량 순위를 산정하였다. 비점오염 취약 소유역에 BMPs 및 LID를 적용한 결과, 도촌천의 비점오염 취약 소유역에서 SS, $NO_3-N$, TP의 평균 저감효율은 각각 11.17%, 3.47%, 18.85%로 나타났다. 공지천 도시지역에 LID 적용시 비점오염 취약 소유역에서 SS, $NO_3-N$, TP의 평균 저감효율은 각각 0.67%, 5.77%, 1.86%로 나타났다. 또한 공지천 농촌지역에 BMPs 적용시 SS, TN, TP의 평균 저감효율은 각각 14.22%, 1.67%, 4.43%로 나타났다. 또한 설성천의 비점오염 취약 소유역에서의 SS, TN, TP의 평균 저감효율은 각각 57.29%, 7.48%, 14.84%로 나타났다.

• Journal of the Korean Society of Radiology
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• v.15 no.5
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• pp.691-696
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• 2021

In order to prevent and treat a patient's disease, the anatomical structure of the lesion through medical imaging is one of the important processes. However, there is a limit to the image displayed on the screen, so many studies are underway to overcome this by using 3D printing technology. To this end, this study implemented a three-dimensional cardiovascular model using actual patient image data, printed it out using a 3D printer, and conducted a usefulness test on current medical professionals. As a result of the usefulness evaluation, when the questionnaire conducted by a total of 5 people was converted to the Likert scale, the average value of all items showed a high result of 4.83 points, and the result of the cross-analysis was (P) = 10.000 (0.265), which was equally positive among all the questionnaires survey results were presented. Based on the results, it is expected that 3D printing technology will help advance medical technology.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.6
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• pp.77-82
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• 2021

There are three types of urinalysis: physical test, chemical test, and microscopic test. Among these, the chemical urinalysis is an easily accessible method of the general public to compare the chemical reaction of urinalysis strip with a standard colorimetric table by sight or purchase the portable urinalysis machine separately. Currently, with the popularization of smartphone, research on the urinalysis service using smartphone is increasing. The urinalysis screening application is one of the urinalysis services using a smartphone. However, the RGB values of the urinalysis pad taken by the urinalysis screening application have large deviations due to the effect of lighting. Deviation of RGB value debases the accuracy of urinalysis discrimination. Therefore, in this paper, the accuracy of urinaylsis pad image discrimination is improved through CNN after classifying urinalysis strips taken by the urinalysis screening application based on smartphone by urinalysis pad items. Urinalysis strip was taken from various backgrounds to generate CNN image, and urinalysis discrimination was analyzed using the ResNet-50 CNN model.

• Journal of the Korea Institute of Building Construction
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• v.18 no.6
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• pp.621-631
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• 2018

The repair and maintenance cost of domestic public rental housing is an issue of considerable interest and growing financial concern. This paper suggests a quantity-based model as an alternative method for predicting costs, instead of the conventional model which is based on actual cost data. Furthermore, this paper provides a forecast of the repair costs incurred each year during the multi family house's maintenance phase (40 years). The recently changed the long-term repair plan and quality-improved interior materials were considered into the research. In order to estimate the cost of maintenance work, 5 sample apartments were selected and analyzed. The repair and maintenance cost from the case studies was converted to cost per household and per floor area for general use. On the other hand, the net present value method was applied to reflect the effect of time. We expect that the results will help to establish expenditure plans that are more effective for public rental housing in the maintenance stage.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.7
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• pp.783-790
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• 2017

An acceptable proximity assessment collision probability is widely considered to be less than $10^{-4}$ in maritime traffic safety audit schemes. In the 1970s, Fujii, Macduff and colleagues introduced various models for collision probability of aberrancy in the community. Although existing studies ensured acceptable proximity collision probability, around $10^{-4}$, they were constrained by assumptions. A lack of support for the proximity probability criterion has been investigated in this study for practical use. The appropriate proximity probability for different size vessels in both straight and curved lanes has been analyzed based on GICOMS data. As a result, reasonable proximity collision probabilities were determined for various vessel traffic conditions. Accordingly, necessary improvements in the maritime traffic system have been suggested in consideration for various maritime traffic situations and conditions.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.117-125
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• 2019

This study aims to evaluate of validity and reliability of the job performance tool already developed for the elementary school health teachers. 305 health teachers responded to the questionnaire composed of 50 items. The validity and reliability of the tool were verified by confirmatory factor analysis. That were composed of 8 sub-categories and had 4 factors. The importance, frequency, and difficulty of the four factors were classified according to the questionnaire criteria, but the importance of health promotion is classified as one new item factor. The statistical significance of the fit of the model was 3.664 (df = 246, p<0.001), RMSEA=0.09, NFI=0.85 and CFI=0.88. The internal consistency of the subscales was Cronbach's ${\alpha}$ of 0.88 to 0.96. The internal consistency of the subscales, Cronbach's ${\alpha}$ was 0.88~0.96. This study shows that the analysis tool for primary school health teacher is valid and reliable as a measurement tool.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.5
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• pp.495-507
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• 2019

Data sparsity is one of the main challenges for the recommender system. The recommender system contains massive data in which only a small part is the observed data and the others are missing data. Most studies assume that missing data is randomly missing from the dataset. Therefore, they only use observed data to train recommendation model, then recommend items to users. In actual case, however, missing data do not lost randomly. In our research, treat these missing data as negative examples of users' interest. Three sample methods are seamlessly integrated into SVD++ algorithm and then propose SVD++_W, SVD++_R and SVD++_KNN algorithm. Experimental results show that proposed sample methods effectively improve the precision in Top-N recommendation over the baseline algorithms. Among the three improved algorithms, SVD++_KNN has the best performance, which shows that the KNN sample method is a more effective way to extract the negative examples of the users' interest.