• Korean Journal of Food Science and Technology
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• v.25 no.2
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• pp.178-184
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• 1993

The procedure using equivalent time at reference temperature has been assessed for the estimation of kinetic parameters with experimental data. Kinetic studies of nonenzymatic browning reaction in model and food system were carried out with linearly increasing temperature method. These kinetic parameters, n, $k_{ref}$ and $E_a$ of the systems were evaluated from original data in one step by nonlinear least square regression. The one step procedure yielded efficiently accurate parameter estimation. Computer simulated data with the kinetic models were well consistent with experimental data (average correlation coefficient=0.96).

• Environmental and Resource Economics Review
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• v.7 no.2
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• pp.53-86
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• 1998

본 논문은 산업혁명 이후의 경제활동에 의한 대기중 온실가스 농도 증가로 인해 나타나는 지표평균온도의 상승과 이에 따른 경제적 영향을 추정한다. 지표온도의 물리적 변화를 추정하기 위해 간단한 기후 모델을 이용하였다. 대기중 이산화탄소의 농도가 2배로 증가할 때 지표평균온도는 약 $1.7{\sim}5.0^{\circ}C$가량 상승하고 이 추정치는 대부분의 다른 연구결과들과 일치한다. 이 추정치에 근거해 이로 인한 경제적 피해를 비교적 자료가 풍부하고 이에 관한 연구가 많이 진행되어 온 미국의 경우를 중심으로 추산하였다. 그 결과 미국 같이 1차 산업의 비중이 낮은 나라의 경우에도 국민소득(National Income)의 0.9~2.0% 정도의 피해가 예상되며 좀더 심한 경우에는 3.48~4.35%에 이르는 비교적 커다란 경제적 손실이 예상된다. 산업의 발달이 뒤져 있고 1차 산업의 비중이 커서 기후변화의 영향을 비교적 크게 받으리라고 예상되는 개도국의 경우에는 그 피해가 국민소득에서 차지하는 비중이 훨씬 클 것이다.

• Korean Journal of Remote Sensing
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• v.34 no.6_2
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• pp.1261-1272
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• 2018

It is important to measure the Arctic surface air temperature because it plays a key-role in the exchange of energy between the ocean, sea ice, and the atmosphere. Although in-situ observations provide accurate measurements of air temperature, they are spatially limited to show the distribution of Arctic surface air temperature. In this study, we proposed machine learning-based models to estimate the Arctic surface air temperature in summer based on buoy data and Advanced Microwave Scanning Radiometer 2 (AMSR2)satellite data. Two machine learning approaches-random forest (RF) and support vector machine (SVM)-were used to estimate the air temperature twice a day according to AMSR2 observation time. Both RF and SVM showed $R^2$ of 0.84-0.88 and RMSE of $1.31-1.53^{\circ}C$. The results were compared to the surface air temperature and spatial distribution of the ERA-Interim reanalysis data from the European Center for Medium-Range Weather Forecasts (ECMWF). They tended to underestimate the Barents Sea, the Kara Sea, and the Baffin Bay region where no IABP buoy observations exist. This study showed both possibility and limitations of the empirical estimation of Arctic surface temperature using AMSR2 data.

• The Transactions of the Korean Institute of Power Electronics
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• v.15 no.5
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• pp.387-393
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• 2010

This paper proposes a correction method of capacitance estimation considering the temperature effect for the DC-link capacitor banks in three-phase AC/DC/AC PWM converters. At first, operating temperature of the capacitors is detected and capacitance variation is corrected due to the temperature effect. Thermisters are used for sensing the temperature and voltage variation across the thermister is exploited to identify the capacitance change. The validity of the proposed method has been verified by experimental results.

• Journal of Conservation Science
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• v.32 no.4
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• pp.511-520
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• 2016

The purpose of this study was to estimate the firing temperature of fired clay brick by applying high temperature X-ray diffraction(XRD) analysis. The clay bricks, which were excavated from a Buddhist temple in Karatepa, Uzbekistan were composed of quartz, plagioclase, alkali feldspar, mica, chlorite, limestone, hornblende, etc. Some clay bricks contained gypsum, which was presumed to have been used to improve the adhesive strength of the brick. Estimating the firing temperature using a geologic thermometer, the UZ-1 sample was identified as being in the quartz, plagioclase, pyroxene series, and the firing temperature was estimated to be $900-1200^{\circ}C$. On the other hand, applying the high temperature XRD method to the UZ-5 sample, it was found that the limestone was destroyed at $1000^{\circ}C$ and the diffraction peak of chlorite was weakened at $1050^{\circ}C$. Moreover, pyroxene series minerals developed at $1050^{\circ}C$ in the reproduction experiment. These results indicate that the clay bricks used in the temple were produced in a kiln that reached a temperature of more than $1000^{\circ}C$. Thus, high temperature XRD analysis can more accurately estimate firing temperatures as compared to the firing temperature mineral identification method and it can be used to determine the creation and extinction temperature range of minerals.

• Korean Journal of Remote Sensing
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• v.29 no.2
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• pp.197-207
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• 2013

Difficulties of emissivity determination and atmospheric correction degrade the estimation accuracy of land surface temperature (LST). That is, since the emissivity determination of land surface material and the correction of atmospheric effect are not perfect, it is very difficult to estimate the precise LST from a thermal infrared image such as Landsat TM and ETM+, ASTER, etc. In this study, we propose an efficient method to estimate land surface temperature difference (LSTD) rather than LST from Landsat thermal band images. This method is based on the assumptions that 1) atmospheric effects are same over a image and 2) the emissivity of vegetation region is 0.99. To validate the performance of the proposed method, error sensitive analysis according to error variations of reference land surface temperature and the water vapor is performed. The results show that the estimated LSTD have respectively the errors of ${\pm}0.06K$, ${\pm}0.15K$ and ${\pm}0.30K$ when the water vapor error of ${\pm}0.302g/cm^2$ and the radiance differences of 0.2, 0.5 and $1.0Wm^{-2}sr^{-1}{\mu}m$ are considered. And also the errors of the LSTD estimation are respectively ${\pm}0.037K$, ${\pm}0.089K$, ${\pm}0.168K$ in the reference land surface temperature error of ${\pm}2.41K$. Therefore, the proposed method enables to estimate the LSTD with the accuracy of less than 0.5K.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.12 no.2
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• pp.77-85
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• 1992

Layer material properties of asphalt concrete changes with climatic conditions. Pavement design and analysis should be performed in the representative climatic condition that gives standard physical properties of pavement layer materials. In this study, an evaluation procedure of pavement design temperature is proposed and programed based on damage effect analysis using fatigue failure criterion. Three regions, Seoul, Daegeon, and Pusan, are chosen to obtain the representative climatic data of South Korea. Domestic pavement design temperature is developed by applying the proposed algorithm to 6 domestic pavement section models with the respective regional climatic data. Asphalt concrete pavement failure criterion is also proposed for the condition of developed domestic pavement design temperature. The design temperature for the region of South Korea is estimated as $l7^{\circ}C$, which is converted to $23.6^{\circ}C$ for the AC surface layer temperature. It is found that the procedure to determine design properties of AC surface layer material at $20^{\circ}C$ gives overestimated results of AC moduli for the domestic pavement system. From the comparison study, it is also found that the estimated pavement design temperature is similar to the result of SHELL Design Chart.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1467-1468
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• 2011

본 논문에서는 전력케이블 절연 코어의 열이력을 추정하기 위해 DSC를 이용한 열 이력 분석을 진행하였다. 일반적으로 전력케이블 절연코어에 인가된 열이력은 온도이력, 시간에 따라 그 열적거동이 달라지며, 이러한 특성을 이용하여, 제조공정 이력 및 운영시 부하온도 추정이 가능하다. 현재까지 보고된 열이력 추정연구는 XLPE절연체에 국한 되어 있으며, 온도 이력과 시간이 열적거동에 미치는 영향 및 반도전층 자재까지 확대하여 적용한 사례는 거의 보고되어 있지 않다. 본 논문에서는 DSC 모의실험을 통한 절연코어 샘플에 대하여, 열이력 추정 분석법의 유효성을 평가할 수 있었다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.42 no.2 s.302
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• pp.27-32
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• 2005

This paper presents a modified microwave radio-thermometer (MRTM) with material characteristic estimator and multiple temperature conversion tables to measure subcutaneous temperature of a living body This estimator provides a temperature retrieval unit with the data of material characteristics such as permittivity, conductivity, thickness and geometry of the living body. The temperature retrieval unit with multiple temperature conversion tables can select one of the tables and computes temperature value corresponding to measured radiation power. In the experiments, it was shown that the MRTM could reduce measurement errors of about $0.82^{\circ}C\;to\;7.68^{\circ}C$ for the cases of distilled water and mixed liquid at the temperature of $37^{\circ}C$.

• Journal of the Optical Society of Korea
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• v.1 no.2
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• pp.120-120
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• 1997

광섬유 Fabry-Perot 간섭계를 센서로 하는 TDM 다중화 광섬유 압력/온도 센서시스템을 개발하고, 이 시스템을 이용하여 수위와 온도 측정실험을 행하였다. 측정시스템의 측정속도는 측정데이타를 저장하지 않는 경우 최대 초당 4500회이며, 센서의 응답속도는 ~1 ms로 추정된다. 압력센서와 온도센서의 특성은 이론적 추정치와 비교하여 각각 +13.7%,-18%의 차이를 보였으며, 반복실험을 통하여 선형화한 후의 선형화 오차는 1%이내, 온도의 변화가 0.1$^{\circ}C$이내 일 때 수위측정의 오차는 $\pm$0.3cm이며, 수위측정에 대한 시스템 잡음은 측정하지 않았다. 온도센서의 시스템 잡음은 0.1$^{\circ}C$이내였으며, 이 시스템을 이용하여 수위 및 온도 변화량에 대한 고속 측정실험을 수행할 결과 예상된 결과를 얻을 수 있었다.