• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2017.05a
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• pp.172-178
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• 2017

Thermal property is one of the important characteristic in the field of energetic materials. As the energy material is released during decomposition, DSC(Differential Scanning Calorimetry) is frequently used for the thermal analysis. In case of the dynamic DSC measurements, thermal dynamic change like melting is prevented from the thermal property measurements. And due to the predicting kg scale, the conditions of the heat exchange with the environment significantly is changed. In this study, As the method to resolve the problem, we predict the thermal aging property using the AKTS thermokinetic program from DSC measurements which performed isothermal method. Predicting the thermal aging properties from ARC(Accelerating Rate Calorimetry) measurement, we compare two results.

• The KIPS Transactions:PartA
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• v.19A no.3
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• pp.121-128
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• 2012

This paper explores the optimal processing element (PE) configuration for ultrasonic image processing at different resolutions ($256{\times}256$, $768{\times}1,024$, and $1,024{\times}1,280$). To determine the optimal PE configuration, this paper evaluates the impacts of a data-per-processing element (DPE) ratio that is defined as the amount of image data directly mapped to each PE on system performance and both energy and area efficiencies using architectural and workload simulations. This paper illustrates the correlation between DPE ratio and PE architecture for a target implementation in 130nm technology. To identify the most efficient PE structure, seven different PE configurations were simulated for ultrasonic image processing. Experimental results indicate that the highest energy efficiencies were achieved at PEs=1,024, 4,096, and 16,384 for ultrasonic images at $256{\times}256$, $768{\times}1,024$, $1,024{\times}1,280$ resolutions, respectively. Furthermore, the maximum area efficiencies were yielded at PEs=256 ($256{\times}256$ image) and 4,096 ($768{\times}1,024$ and $1,024{\times}1,280$ images), respectively.

• Journal of the Earthquake Engineering Society of Korea
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• v.7 no.4
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• pp.1-13
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• 2003

For spatial free vibration of non-symmetric thin-walled curved beams with shear deformation, an improved formulation is proposed in the present study. The elastic strain and the kinetic energies are first derived by considering constant curvature and shear deformation effects due to shear forces and restrained warping torsion. Next equilibrium equations and force-deformation relations are obtained using a stationary condition of total potential energy. And the finite element procedures are developed by using isoparametric curved beam element with arbitray thin-walled sections. Particularly not only shear deformation and thickness-curvature effects on vibration behaviors of curved beams but also mode transition and crossover phenomena with change in curvatures of beams are parametrically investigated. In order to illustrate the accuracy and the reliability of this study, various numerical solutions for spatial free vibration are compared with results by available references and ABAQUS's shell element.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.628-628
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• 2015

유역의 형상은 강우, 산사태 등과 같은 지배적인 침식작용과 더불어 지형 지질학적 요인들에 의해 결정되어 진다. 그러므로 유역형상에 대한 공간특성 분석을 위해서는 지형학적 요인과 다양한 침식작용에 대한 분석이 필요하다. 국내 외 많은 연구결과에 의하면 지형학적 인자에 의한 침식 형태는 국부경사와 집수면적의 크기에 의해 다양한 구간으로 나뉘며, 그 특성에 따라 지표침식, 세굴, 산사태 등으로 구분되는 것으로 연구된 바 있다. 일례로 유역 내 세굴과 관련된 지배인자는 집수면적보다는 국부경사에 반대로 지표침식, 산사태는 국부경사보다는 집수면적의 크기에 따라 영향을 받는다. 따라서 지형학적 인자(국부경사, 집수면적)의 임계치(threshold) 산출을 통해 침식특성(불안정지역)을 검토할 수 있으며, 이에 대한 물리적 검증은 여러 연구를 통해 물질플럭스(유량, 에너지)에 대한 Power Law로써 검증된바 있다. 본 연구에서는 이러한 지형학적 침식특성 분석을 위하여 2006년 집중호우에 의해 광역적 산사태가 발생한 강원도 평창군 진부면 일대의 $10m{\times}10m$ DEM로부터 국부경사, 집수면적을 산출하고 경사-면적한계곡선(Slope-Area Threshold Curve, SATC), 배수면적 확률분포곡선(Probability distribution of Drain Areas Curve, PDAC), 에너지지수 확률분포곡선(Probability distribution of Energy Index Curve, PEIC)를 실제 산사태지점과 중첩하여 도시하였다. 그 결과, 특정 임계구간(Threshold Area, Unstable area, 2~3권역)내에서 산사태 발생지점이 분포하는 것으로 분석되었다. 이를 통해 지형학적 인자만을 고려하여 미계측 유역에 대한 잠재적 불안정지역의 판별이 가능할 것으로 판단되며, 추후 광역적 사면안정해석에 적용 가능할 것으로 판단된다.

• Tunnel and Underground Space
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• v.29 no.1
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• pp.1-11
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• 2019

This study investigated use cases of machine learning technology in domestic medical, manufacturing, finance, automobile, urban sectors and those in overseas mining industry. Through a literature survey, it was found that the machine learning technology has been widely utilized for developing medical image information system, real-time monitoring and fault diagnosis system, security level of information system, autonomous vehicle and integrated city management system. Until now, the use cases have not found in the domestic mining industry, however, several overseas projects have found that introduce the machine learning technology to the mining industry for improving the productivity and safety of mineral exploration or mine development. In the future, the introduction of the machine learning technology to the mining industry is expected to spread gradually.

• Tunnel and Underground Space
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• v.29 no.2
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• pp.75-88
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• 2019

With Kori nuclear power plant unit 1 as a beginning in April 1978, 24 nuclear power plants have been operated in Korea and two more plants are under construction. As the nuclear power plants being operated, radioactive wastes from the plants have been accumulated so that various methods for disposing them have been proposed. In Korea, researches have been conducted, being focused on DGD (Deep Geological Disposal), however, DBD (Deep Borehole Disposal) method needs considering as an alternative. In this technical note, element technologies for DBD were analyzed by compiling previous researches and their applicability on domestic cases were investigated. Conceptual studies regarding relevant designs were conducted and finally, technical challenges for actual disposal were described.

• Journal of Climate Change Research
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• v.7 no.3
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• pp.341-349
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• 2016

This study is intended to set a greenhouse gas emission scenario based on green remodeling pilot project (Annex building of Seoul Customs Office) using LEAP model, a long-term energy plan analysis model, to calculate the energy saving and greenhouse gas emission till year 2035 as well as to analyze the effect of electric power saving cost. Total 4 scenarios were made, Baseline scenario, assuming the past trend is to be maintained in the future, green remodeling scenario, reflecting actual green remodeling project of Seoul Customs Office, behavior improvement and renewable energy supply, and Total scenario. According to the analysis result, the energy demand in 2035 of Baseline scenario was 6.1% decreased from base year 2013, that of green remodeling scenario was 17.5%, that of behavior improvement and renewable energy supply scenario was 21.1% and that of total scenario was 27.3%. The greenhouse emission of base year 2013 was $878.2tCO_2eq$, and it was expected $826.3tCO_2eq$, approx. 5.9% reduced, in 2035 by Baseline scenario. the cumulative greenhouse gas emission saving of the analyzing period were $-26.5tCO_2eq$ by green remodeling scenario, $2.8k\;tCO_2eq$ by behavior improvement and renewable energy supply scenario, and $2.0k\;tCO_2eq$ by total scenario. In addition the effect of electricity saving cost through energy saving has been estimated, and it was approx. 634 million won by green remodeling scenario and appro. 726 million won by behavior improvement and renewable energy supply scenario. So it is analyzed that of behavior improvement and renewable energy supply scenario would be approx. 12.7% higher than that of green remodeling scenario.

• Journal of Climate Change Research
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• v.7 no.2
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• pp.103-110
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• 2016

In this study, we researched the characteristics of $CH_4$ and $N_2O$ emission of the wastewater treatment (WWT) process in the dairy industry. For flux measurements at the air-water interface, a floating dynamic flow-through chamber was used above the water surface. $CH_4$ and $N_2O$ concentration from the WWT process was measured by NDIR (Non-Dispersive Infrared) Analyser. In the study, $CH_4$ and $N_2O$ fluxes results showed a distinct difference for each WWT process. 60% of the GHG emissions which was the highest percentage were from the equalization tank. Reactor tank was second with 27% of the total emissions from the WWT. Aeration tank was third with 12% of the total emissions. The tendency was that the more the wastewater was treated, the less GHGs were emitted. $CH_4$ and $N_2O$ showed the same tendency. This indicates that the concentrations and properties of wastewater could affect the tendency.

• Journal of Climate Change Research
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• v.7 no.4
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• pp.477-484
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• 2016

In general, $CH_4$ concentrations generated in combustion facilities are known to be ppm units. In most cases, $CH_4$ samples are collected in Tedlar bags and transported to laboratories for analysis. Considering this fact, in the present study, an attempt was made to find out how long samples can be stored in cases where they are kept in bags and transported as a preliminary study for sampling. According to the results of the experiment using simulated gases (1 ppm, 5 ppm, 10 ppm) in Tedlar bag, $CH_4$ was safe up to 240 hr which is the full time. In the case of simulated gases are containing 4 kind gases ($N_2$, $CO_2$, $CH_4$, and $N_2O$). Field samples (samples of obtained by collecting combustion facilities' exhaust gases) are known to contain highly reactive substances (for example NOx, SOx, and VOCs) and may affect each other. In the present study, one site sample was secured from each of a bituminous coal combustion facility and an LNG combustion facility and whether the concentrations of $CH_4$ gas would change over time (24 hr, 96 hr, 144 hr, 192 hr) was checked. Since site samples could not be analyzed on the day of collection, an experiment was started 24 hr after the time point of sampling to analyze the samples. As with the results of analysis of the simulated gas (240 hr), the results of analysis using the site sample indicated that it could be stored for the full study period 192 hr. Therefore, it was judged that if 192 hr would be taken after sampling before the sample would be analyzed, the concentration value should be reliable.

• Journal of Climate Change Research
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• v.9 no.1
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• pp.59-67
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• 2018

In this study, the $N_2O$, emitted from combustion facility, were analyzed by using simulated gas and field samples to find out how long samples can be stored in Tedlar bag. According to the results of the experiment using simulated gases (1 ppm, 5 ppm, 10 ppm) in Tedlar bag, After 144hr, $N_2O$ concentration of simulated gases changed that 1 ppm is 5.3%, 5 ppm is 12.8%, and 10ppm is 10.5%. The higher initial concentration of simulated gas was, the larger rate of $N_2O$ concentration was changed. In case of high concentration samples, it need to be careful when it was analyzed after 144 hr. Stability evaluation in Tedlar bag was carried out through field samples such as combustion facility of bituminous coal, B-C oil and LNG. The concentration rate of field samples, which is under 1 ppm of average initial concentration, was evaluated using statistical method. As a result, $N_2O$ concentrations were changed to field samples in the bag even when 96 hr had passed. And after sampling, it is necessary that sample analysis should be quickly as soon as possible.