• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.1
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• pp.12-22
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• 2018

In order to improve the vulnerability of current cities due to climate change, the disaster vulnerability analysis manual for various disasters is provided. Depending on the spatial units, the disaster vulnerability levels, and the conditions of the climatic factors, the results of the disaster vulnerability analysis will have a significant impact. In this study, relative assessments are conducted by adding the eup, myeon and dong unit in addition to census output area unit to analyze the impact on the spatial unit, and relative changes are analyzed according to the classification stages by expanding the natural classification, which is standardized at level four stage, to level two, four and six stage. The maximum rainfalls(10min, 60min, 24hr) are added for the two limited rainfall characteristics to determine the relativity of disaster vulnerable districts by index. The relative assessment results of heavy rainfall vulnerability index showed that the area ratio of disaster areas by spatial unit was different and the correlation analysis showed that the space analysis between the eup, myeon and dong unit in addition to census output area unit was not consistent. And it can be seen that the proportion of disaster vulnerable districts is relatively different a lot due to indexes of rainfall characteristics, spatial unit analysis and disaster vulnerability level stage. Based on the above results, it can be seen that the ratios of disaster vulnerable districts differ relatively significantly due to the level of the disaster vulnerability class, and the indexes of rainfall characteristics. This suggests that the impact of the disaster vulnerable districts depending on indexes is relatively large, and more detailed indexes should be selected when setting up the disaster vulnerabilities analysis index.

• Korean Journal of Soil Science and Fertilizer
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• v.42 no.2
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• pp.70-78
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• 2009

Remote sensing technique in agriculture can be used to identify chlorophyll content, biomass, and yield caused from N stress level. This study was conducted to evaluate biomass, N stress levels, and yield of tobacco (Nicotiana tabacum L.) under sand culture in a plastic film house using ground-based remote sensors. Nitrogen rates applied were 40, 60, 80, 100, 120, and 140 percent of N concentration in the Hoagland's nutrient solution. Sensor readings for reflectance indices were taken at 30, 35, 40, 45, 50 and 60 days after transplanting(DAT). Reflectance indices measured at 40th DAT were highly correlated with dry weight(DW) of tobacco leaves and N uptake by leaves. Especially, green normalized difference vegetation index(gNDVI) from spectroradiometer and aNDVI from Crop Circle passive sensor were able to explain 85% and 84% of DW variability and 85% and 92% of N uptake variability, respectively. All the reflectance indices measured at each sampling date during the growing season were significantly correlated with tobacco yield. Especially the gNDVI derived from spectroradiometer readings at the 40th DAT explained 72% of yield variability. N rates of tobacco were distinguished by sufficiency index calculated using the ratio of reflectance indices of stress to optimum plot of N treatment. Consequently results indicate that the reflectance indices by ground-based remote sensor can be used to predict tobacco yield and recommend the optimum application rate of N fertilizer for top dressing of tobacco.

• Journal of Dental Rehabilitation and Applied Science
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• v.28 no.1
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• pp.37-46
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• 2012

The ultimate goal of periodontal therapy is the regeneration of supporting tissues. It is recommended to avoid probing until 6~9 months following the regenerative therapy because the probing may jeopardize the newly formed tissues. We can measure tooth mobility objectively using Periotest. The purpose of this study is to investigate whether Periotest can be used to evaluate the treatment results alternatively, and whether there are the correlations between the changes of Periotest value (PTV) and other clinical parameters. Regenerative treatments have been performed on 29 teeth of twenty five patients, at Department of Periodontology, Pusan National University Hospital. We measured the tooth mobility by Periotest and other parameters at the baseline, 6 and 12 months after regenerative treatment. Compared to the baseline, there were the statistically significant improvements in all the parameters at 6 months and 12 months. There were statistically significant correlations among the probing depth, attachment level, gingival recession and PTV at baseline, 6 months, and 12 months. Also there was the correlation between changes in PTV and in the attachment level at each time of observation period. We may conclude that regenerative therapy would improve the clinical parameters and periodontal status and PTV would be an alternative index to evaluate the healing process after regenerative surgery.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.4
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• pp.99-111
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• 2018

Service areas in expressways are very important facilities in terms of efficient expressway operation and the convenience of users. It needs a traffic management strategy to inform drivers in advance about congestion in service areas so as to distribute users of service areas. But due to the lack of sensors and data on numbers of people in the service areas, congestion in service areas had not been measured and managed appropriately. In this study, a congestion index for service areas was developed using telecommunication floating population big data. Two alternative indices (i.e., density of service areas and floating population V/c of service areas) were developed. Finally, the floating population V/c of service areas was selected as a congestion index for service areas for reasons of the ease of understanding and comparison.

• Journal of Radiation Protection and Research
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• v.27 no.3
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• pp.165-170
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• 2002

Combined with deposition model onto the ground of radionuclides, the influence of radioactive contamination to agricultural products was analyzed due to wet deposition as well as dry deposition from radioactive air concentration during a nuclear emergency. The previous dynamic food chain model, in which initial input parameter is only radionuclide concentrations on the ground, was improved for the evaluating of radioactive contamination to agricultural products from either radionuclide concentrations in air or radionuclide concentrations on the ground. As the results, in case of deposition onto the ground, wet deposition was more dominant process than thy deposition. While the contamination levels of agricultural products were dependent on the a variety of factors such as radionuclides and rainfall rate. It means that the contamination levels of agricultural products are determined from which is more dominant process between deposition on the ground and interception onto agricultural plants.

• The Journal of Engineering Geology
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• v.27 no.3
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• pp.313-322
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• 2017

The purpose of this study is to estimate the surface and subsurface flows through the modelling of the model area and facility agricultural complex, and to calculate the groundwater recharge rate through water budget analysis. From results of surface flow modeling, the surface water is flowed to a depth of about 1 to 5 meters from the upper region (northeast) to the lower region (southeast) of the Miryang River. At the M01 point (upper), the observed surface water flux and the model surface water flux are consistent. At the M02 points (lower), the observed surface water flux and the model surface water flux are a difference of 1%. From results of subsurface flow modeling, the depth of groundwater is similar to elevation in the river and higher to the forest area. Ground water depth considering groundwater pumping is that the model values appears higher than the observed values to be within 1.5 m. From results of surface-subsurface integrated modeling, the groundwater recharge area is estimated about 90% of the model area, and the groundwater recharge rate is estimated $1.92{\times}10^5m^3/day$. From results of annual water budget analysis, the groundwater recharge rate per unit area is estimated to be 503.9 mm/year, and average annual rainfall is estimated at around 39%.

• The Journal of Society for e-Business Studies
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• v.18 no.3
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• pp.125-142
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• 2013

As a reinforcing strategic-alignment of IT business, Financial Service becomes more rely on IT systems. It needs to continuous information security activities to provide a secure and reliable finance service. Performance measurement of information security activities can be useful for decision and management support. The purpose of this study is to derive CSF(Critical Success Factor) and KPI(Key Performance Indicator) based on K-ISMS, Financial IT Information Security Standards. Providing a rationale can be used to determine key performance indicators, which are utilized as basic data for establishing security policies for financial IT security competency.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.713-716
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• 2009

현대 사회에서 문화산업은 삶의 질을 누릴 수 있는 기회와 안식을 제공해 주는 분야라고 할 수 있을 정도로 많은 관심을 받고 있다. 특히 음악 분야는 대중성과 독창성이 함께 공존하여 감정을 표출하고 쉽게 접근할 수 있는 예술적 가치로 인정받고 있다. 본 논문에서는 이와 같은 음악 분야에 대한 일반인의 재능을 평가 할 수 있는 지표를 설계하기 위해 목소리가 발산하고 있는 에너지를 분석하고자 한다. 이를 위해 동일한 음악에 대한 가수의 목소리와 일반인의 목소리에서 성도의 모양 변화에 대한 결과 파형의 패턴 분석을 실험하여 두 집단간의 비교, 분석을 행하고자 한다. 따라서 실험에 사용될 대중적 음악을 선정하고 동일 부분에 대한 가수와 일반인의 목소리를 수집하여 시간의 흐름에 따른 음성 에너지의 변화를 패턴 분석하고 이를 비교하여 음악적 재능을 평가할 수 있는 지표를 설계하고자 한다.

• Annual Conference of KIPS
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• 2002.11a
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• pp.143-146
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• 2002

웹 서비스를 제공하는 분산 서버 시스템에서 각 서버의 부하 상태를 파악하여 처리해야 할 부하를 조절하여 주면 서버의 부하가 균등하게 되어 더 나은 성능을 얻을 수 있게 된다. 서버의 부하 상태는 시스템의 자원에 영향을 미치는 여러 가지 요소에 의하여 분석을 할 수 있다. 본 논문에서는 다양한 스트레스 테스트를 통하여 서버의 자원의 고갈을 나타내는 주요 성능 지표들을 변화 상태를 분석하였다. 고려된 성능지표로는 Available Memory 양, Page Read 수, Processor Utilization, Processor Queue Length, 네트웍으로 전달된 Transmitted Bytes, 연결된 Connection 개수이다. 실제로 이중 하나의 요소를 적용시켜서 ALBM (Adaptive Load Balancing Mechanism)을 실행을 하였을 때 일반 LVS Round Robin 보다 성능이 좋은 결과를 낳았다.

• Journal of the Korean association of regional geographers
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• v.19 no.2
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• pp.352-361
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• 2013

This paper aims to analyze the root mean square errors of MODIS LST data and inland water temperature measurement data in order to use MODIS LST data as an input of numerical weather prediction model. MODIS LST data from July 2011 to June 2012 were compared to water temperature measurement data in the automated water quality measurement network. MODIS data have two composites: day-time and night-time. Monthly errors of day-time and night-time LST range $2{\sim}8^{\circ}C$ and $3{\sim}12^{\circ}C$, respectively. Temporally, monthly errors of day-time LST are less in fall and those of night-time LST are less in summer. Spatially, on the four major rivers including the Han, Nakdong, Geum, and Yeongsan rivers, the errors of Yeongsan river were the smallest, which location is the south-most among them. In this study, the errors of MODIS LST as an input of numerical weather prediction model were analyzed and the results can be used as an error level of MODIS LST data for inaccessible areas such as North Korea.