• Korean Journal of Food Science and Technology
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• v.36 no.6
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• pp.851-856
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• 2004

Minerals separated from irradiated dried red pepper (whole) at 2.5 kGy or higher showed typical thermoluminescence (TL) glow curves ($TL_1$) at around $150^{\circ}C$, which increased with irradiation dose. The TL ratio ($TL_1/TL_2$) through re-irradiation step at 1 kGy enhanced reliability of TL identification results. DNA comet assay indicated that the intact cell was observed in non-irradiated pepper (seed), while some long tails were found in irradiated ones, showing relationship between irradiation dose and tail length. Log DEPT/APC values increased in proportion to irradiation doses in powdered and whole peppers. Based on overall results, irradiated dried red peppers could be screened using DNA comet assay or log DEFT/APC, and moreover the identification results were verified by TL analysis.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.144-144
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• 2020

국내의 하천은 급격한 도시화 및 산업화로 인해 자연하천의 모습은 사라지고 이수와 치수 기능 위주의 하천관리가 이루어졌다. 하천은 치수기능을 강조하여 인공적으로 변화하였을 뿐만 아니라 하천생태환경 내에 서식하는 동식물의 서식 환경에도 교란을 야기하였다. 최근 하천관리의 패러다임이 변화함에 따라서, 하천이 갖는 자연적 특성을 회복하는 환경적 측면을 강조한 생태하천 복원사업에 대한 관심이 높아지고 있으나, 수생생물 서식지 복원과 생태계에 필요한 환경유량에 관한 정량적인 평가를 위한 연구는 부족한 실정이다. 본 연구는 경상북도 김천시와 구미시를 관류하여 낙동강으로 합류되는 감천을 대상으로 하였으며, 댐 건설로 인한 하천 생태계 변화 및 하천유량에 대한 통계적 분석, 수리 모델링, 하천구역의 공간적 분석을 진행하였다. 통계적 분석을 위한 시계열 자료 구축은 감천 하류에 있는 선산관측소의 2002년 ~ 2019년까지 수위, 유량을 사용하였으며, 김천부항댐이 건설 된 2014년 1월 1일을 기점으로 댐 건설 전(2002 ~ 2013)과 댐 건설 후(2014 ~ 2019)로 구분하였다. HEC-EFM(Ecosystem Function Model)을 활용하여 어류를 포함한 수생생물의 성공적인 서식을 위한 환경유량을 산정하였다. 산정된 환경유량을 HEC-GeoRAS(Geographic River Analysis System)와 HEC-GeoEFM(Geographic Ecosystem Function Model)을 적용·연계하여 수생식생 도입이 가능한 하천 구간과 어류 산란 및 성장에 적합한 하천구간을 표현하였으며, 댐 건설 전후의 서식지 면적을 계산하여 수생생물의 성공적인 서식환경이 조성되었는지 확인하였다. 본 연구를 바탕으로 수생생물의 하천 서식지 개선을 위한 명확한 환경유량을 수립하는 데 도움이 될 것으로 판단된다.

• Economic and Environmental Geology
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• v.43 no.3
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• pp.235-248
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• 2010

To construct the standard methods for evaluation of physicochemical characteristics of tailings in Korea, specific gravity, paste pH, grain size, mineral compositions and heavy metal concentrations of total 26 tailings from 21 metallic mines were analyzed. Specific gravity of tailings ranged from 2.61 to 4.31 (avg. 3.04), and sand and silt grain were dominant in the tailings. Ranges of paste pH were 2.1-9.5 in tailings (7.1-9.2 at magmatic, skarn and hydrothermal replacement deposits and 2.1-9.5 at hydrothermal vein deposits). Additionally, hydrothermal vein deposits could be reclassified into three categories: (1) paste pH>7.0, (2) 4.0

• Composites Research
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• v.33 no.3
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• pp.161-168
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• 2020

In this paper, we have studied the mechanical properties of thermoplastic carbon fiber fabric composites with spread technology and compression molding temperature were investigated. Carbon fiber reinforcement composites were fabricated using commercial carbon fiber fabrics and spread carbon fiber fabrics. Mechanical properties of the commercial carbon fiber composites (CCFC) and spread carbon fiber composites (SCFC) according to compression molding temperatures were investigated. Thermal properties of the polypropylene film were examined by rheometer, differential scanning calorimetry, thermal gravimetric analysis. Tensile, flexural and Inter-laminar shear test. Commercial carbon fiber reinforcement composites and spread carbon fiber composites were fabricated at 200~240℃ above the melting temperature of the polypropylene film. Impregnation properties according to compression molding temperature of the polypropylene film were investigated by scanning electron microscopy. As a result, as the compression molding temperature was increased, the viscosity of the polypropylene film was decreased. The mechanical properties of the compression molding temperature of 230℃ spread carbon fiber composite was superior.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.122-122
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• 2021

전 세계적인 기후변화로 인해 태풍과 집중호우의 빈도와 규모가 증가하고 있으며 그로 인해 수재해 대응과 수자원 관리에 많은 어려움이 따른다. 댐 운영은 이러한 수자원 관리의 중요한 요소이며 정확한 댐 유입량의 예측은 효율적인 댐 운영과 관리의 필수적인 부분이다. 최근에는 여러 분야에서 활용되고 있는 딥러닝 모델을 활용하여 댐 유입량 예측에 관한 다수의 연구들이 수행되고 있다. 특히, 수문 시계열의 장기적인 특성과 비선형적인 관계를 고려하기 위해 연속형 모의를 기반으로 하는 딥러닝 모델의 적용 및 평가와 관련 연구의 필요성이 대두되고 있다. 본 연구에서는 연속형 모의를 기반으로 하는 딥러닝 모델을 활용하여 댐 유입량 예측을 수행하고자 하며 이의 적용성을 평가하고자 한다. 적용 대상 지역으로는 안동댐 상류 유역을 선정하였으며 2006년부터 2020년까지의 시 단위 강우 및 댐 유입량 자료를 활용하였다. 선행시간(1~6시간)별 예측 유입량과 관측 유입량의 비교를 통한 정량적 평가를 수행하였다. 또한 입력 자료에 대한 과거 기간, 모델 구성, 손실함수 등에 대한 조건별 평가를 통해 예측 정확도의 변화에 대한 분석을 수행하였다. 본 연구결과를 통해, 딥러닝 기반의 댐 유입량 예측 정확도에 대한 향상과 실시간 예측을 위한 딥러닝 모델의 활용성 증대에 기여할 것으로 기대된다. 향후, 강우 예보 자료를 연계한 딥러닝 기반의 실시간 댐 유입량 예측 기법을 제안하고 이의 활용성을 평가하고자 한다.

• The Journal of Engineering Geology
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• v.24 no.4
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• pp.487-499
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• 2014

While the vertical open type of heat exchanger is more effective in areas of abundant groundwater, and is becoming more widely used, the heat exchanger most commonly used in geothermal heating and cooling systems in Korea is the vertical closed loop type. In this study, we performed numerical simulations of the optimal utilization of geothermal energy based on the hydrogeological and thermal properties to evaluate the efficiency of the vertical open type in areas of abundant groundwater supply. The first simulation indicated that the vertical open type using groundwater directly is more efficient than the vertical closed loop type in areas of abundant groundwater. Furthermore, a doublet system with separated injection and extraction wells was more efficient because the temperature difference (${\Delta}$) between the injection and extraction water generated by heat exchange with the ground is large. In the second simulation, we performed additional numerical simulations of the optimal utilization of geothermal energy that incorporated heat transfer, distance, flow rate, and groundwater hydraulic gradient targeting a single well, SCW (standing column well), and doublet. We present a flow diagram that can be used to select the optimal type of heat exchanger based on these simulation results. The results of this study indicate that it is necessary to examine the adequacy of the geothermal energy utilization system based on the hydrogeological and thermal properties of the area concerned, and also on a review of the COP (coefficient of performance) of the geothermal heating and cooling system.

• Journal of the Korean Electrochemical Society
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• v.3 no.2
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• pp.121-126
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• 2000

The effect of electroless Ni and Cu plating on $LaNi_5$, $AB_5$ type hydrogen storage alloy was investigated by the various electrochemical techniques such as constant current charge-discharge test, cyclic voltammeoy, and a.c. impedance spectroscopy. Scanning electron microscopy and X-ray diffraction test were conducted for phenomenological logical analyses. Cyclic Voltammetry results show that activation characteristics, cycle life and reaction ,rate were improved through electroless Ni and Cu plating. Compared with bare $LaNi_5$ the charge transfer resistance of electrode was greatly reduced as charge-discharge cycle increases. Therefore, electroless Ni and Cu plating on $LaNi_5$ alloy tends to accelerate the early activation, increasing the cyclic lift of electrode.

• Journal of the Society of Naval Architects of Korea
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• v.38 no.2
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• pp.62-70
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• 2001

As the ship hull is a compound-curved structure, plate bending process is indispensible. The process includes press bending process for forming major 1st curvature and heating process for forming the rest curvature. Especially the heating process that is above 50 percents of entire bending work is carried out exclusively by skillful workers. Many researches have been made to automate the heating process but most of these are about line heating process and researches for triangle heating process are rare. This study is a fundamental study to develop a efficient analysis method for triangle heating and focused on clarifying the deformation characteristics of plate by triangle heating. In this paper, we carried out heating experiments and analysed the deformation characteristics of plate to explain the deformation characteristics of plates rationally by showing the phase transformed high temperature region. Also we investigated the heating effect on the hull material properties by mechanical tests.

• Journal of the Korean Society of Radiology
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• v.11 no.6
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• pp.525-529
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• 2017

As a photoconductive material with a high X-ray sensitivity, many researches about mercury iodide has been carried out to substitute for amorphous selenium. However, it has many limitations in commercialization because of the high leakage current. In this study, we fabricated $HgI_2$ unit-cells with mixed silicon oxide($SiO_2$) and titanium oxide($TiO_2$) to reduce a high leakage current and we evaluated an electrical properties of the fabricated unit-cells. As a result, we confirmed that both mixtures were effective in reduing the leakage current of the $HgI_2$ and x-ray sensitivity were significantly increased in fabricated $HgI_2-TiO_2$ unit-cell.

• Journal of Korean Society of Transportation
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• v.36 no.2
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• pp.141-154
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• 2018

In order to meet the ever-increasing demand for international air travel, several plans are underway to open new airports and expand existing provincial airports. However, existing air demand forecasts have been based on the total air demand in Korea or the air demand among major cities. There is not much forecast of regional air demand considering local characteristics. In this study, the outbound air travel demand in the southeastern region of Korea was analyzed and the fixed-effects model using panel data was proposed as an optimal model that can reflect the inherent characteristics of metropolitan areas which are difficult to observe in reality. The results of model validation show that panel data analysis effectively addresses the spurious regression and unobserved heterogeneity that are difficult to handle in a model using only a few macroeconomic indicators with time series characteristics. Various statistical validation and conformance tests suggest that the fixed-effects model proposed in this study is superior to other econometric models in predicting demand for international demand in the southeastern region.