• 한국세라믹학회지
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• 제41권5호
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• pp.353-358
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• 2004

Spray drying is a unique drying process for powder production. Spray dried product must be free-flowing in order to fill the pressing dies rapidly, especially in the ceramic production. The important powder characteristics are; the particle size distribu-tion and moisture content of the finished product that can be estimated and adjusted by the spray dryer operation, within limits, through regulation of atomizer and drying conditions. In order to estimate the moisture content of the resultant dried product, we modeled the control system of the drying process using two different Artificial Neural Network (ANN) approaches, namely the Back-Propagation Multiplayer Perceptron (BPMLP) algorithm and the Radial Basis Function (RBF) network. It was found out that the performance of both of the artificial neural network models were quite significant and the total testing error for the 100 data was 0.8 and 0.7 for the BPMLP algorithm and the RBF network respectively.

• Journal of Biosystems Engineering
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• 제42권1호
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• pp.62-68
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• 2017

Purpose: The storage life of pearl millet-based, deep fried, ready-to-eat snacks, packaged in aluminum-laminated polyethylene having a thickness of $50{\mu}m$ (with and without nitrogen) was evaluated under storage conditions of $38{\pm}2^{\circ}C$ and 90% RH. Methods: The moisture content, free fatty acids (FFA), peroxide value, and crispness of the snack were evaluated throughout the storage period. The moisture content, FFA, and peroxide value increased with an increase in storage period, but the increase was less in packages flushed with nitrogen gas. The crispness decreased with an increase in the storage period, for snacks both with and without nitrogen packages. However, the decrease was less in nitrogen-flushed packages. FFA and peroxide values were strongly correlated with the moisture content of the snack. The storage life of the snack was found to be 60 and 45 days in packages with and without nitrogen respectively. Conclusions: The snack's predicted storage life, for snacks with and without nitrogen packages, was determined as 294 and 254 days respectively.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 E
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• pp.2380-2382
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• 1999

An Ampacity of a power cable depends on the soil thermal property, especially the soil thermal resistivity. Also, The soil thermal resistivity depends on the soil moisture contents in soil surrounding the power cable. This paper propose the prediction algorithm of the soil moisture contents using the Thornthwaite theory.

• 농업과학연구
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• 제3권2호
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• pp.207-213
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• 1976

최대습윤밀도(最大濕潤密度)로서 함수비시험(含水比試驗)을 하지 않고 직접최적합수비(直接最適合水比)와 최대건록밀도(最大乾綠密度)를 추정(推定)하는 관계식(關係式)을 구(求)하기 위(爲)하여 전국(全國)에서 최근(最近)에 공사(工事)를 실시(實施)하였거나 또는 공사중(工事中)에 있는 157개(個) 지구(地區)의 다짐시험(試驗) 결과(結果)를 분석(分析)하여 다음과 같은 결론(結論)을 얻었다. 최대건조밀도(最大乾燥密度)와 최적합수비(最適合水比)의 사이에는 ${\gamma}=0.9636$의 높은 상관성(相關性)을 나타냈고 ${\gamma}_{dmax.}={\frac{1}{0.4193+0.00937W_{opt.}}$의 관계식(關係式)을 얻었다. 최적합수비(最適合水比)에 대응(對應)하는 습윤밀도(濕潤密度)와 최적합수비(最適合水比)는 $W_{opt.}={\frac{1-0.4193{\gamma}_{tmax.}}{0.937_{\gamma}_{tmax.}-0.01}$의 관계식(關係式)을 얻었고 최대습윤밀도(最大濕潤密度)(${\gamma}_{tmax}$)로 추정(推定)한 최적합수비(最適合水比)는 실측치(實測値)와 큰 차이(差異)가 없었다. 최대습윤밀도(最大濕潤密度)로 추정(推定)한 함수비(含水比)에 의하여 최대건조밀도(最大乾燥密度)를 추정(推定)한 결과실측치(結果實測値)와의 오차(誤差)는 ${\pm}5%$내(內)에 속했다. 최대건조밀도(最大乾燥密度)와 공극비(空隙比)는 ${\gamma}=0.9706$의 높은 상관성(相關性)이 인정(認定)되고 ${\gamma}_{dmax.}={\frac{1}{0.3938+0.3426e}}$의 관계식(關係式)을 얻었다.

• Food Science and Biotechnology
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• 제14권2호
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• pp.280-285
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• 2005

Applicability of near infrared reflectance spectroscopy (NIRS) was examined for quality control of red pepper powder in milling factories. Prediction of chemical composition was performed using modified partial least square (MPLS) techniques. Analysis of total 51 and 21 red pepper powder samples by conventional methods for calibration and validation, respectively, revealed standard error of prediction (SEP) and correlation coefficient ($R^2$) of moisture content, ASTA color value, capsaicinoid content, and total sugar content were 0.55 and 0.90, 8.58 and 0.96, 31.60 and 0.65, and 1.82 and 0.86, respectively; SEP and $R^2$ were low and high, respectively, except for capsaicinoid content. The results indicate, with slight improvement, on-line quality measurement of red pepper powder with NIRS could be applied in red pepper milling factories.

• 한국지열·수열에너지학회논문집
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• 제8권1호
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• pp.21-31
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• 2012

This paper reviewed and evaluated some of the commonly used prediction models for thermal conductivity of soils with the experimental data. Semi-theoretical models for two-component materials were found inappropriate to estimate the thermal conductivity of dry state soils. It came out that the model developed by Cote and Konrad gave the best overall prediction results for unsaturated soils available in the literature. However, it still needs to be improved to cover a wider range of soil types and degrees of saturation. In the present study, parametric analysis is also conducted to investigate the effect of soil type and moisture content on the horizontal ground heat exchanger design. The analysis shows that horizontal ground heat exchanger pipe length is reduced with the increase of soil thermal conductivity and water content. The calculation results also show that horizontal ground heat exchanger size can be reduced to a certain extent by using backfilling material with a higher thermal conductivity of solid particles.

• 한국식품과학회지
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• 제35권2호
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• pp.211-216
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• 2003

열풍, 진공 및 동결건조한 생강분말의 흡습특성을 조사하고 저장 중 수분함량 예측모델식을 수립하였다. 단분자층 수분함량은 BET식보다 GAB식이 더 높은 유의성을 보였으며 등온흡습곡선은 sigmoid 형태로서 건조방법에 따른 차이는 없었으나 낮은 온도에서 평형수분함량이 높았다. 건조방법에 따른 흡습엔탈피는 큰 차이가 없었으나 수분활성도가 증가함에 따라 낮은 흡습에너지를 보였다. 등온흡습곡선의 적합도는 Caurie 모델이 $R^2\;0.99$ 이상으로 높은 적합도를 나타내었고 그 외 Henderson, Bradley 모델의 순으로 높은 적합도를 나타내었으며, 편차도 Caurie 모델이 $1.2{\sim}5.4%$로 가장 낮았다. 수분함량 예측을 위해 각 독립변수의 최적함수로 시간은 ln 함수, 수분활성도와 온도는 일차식을 선정하였으며 수분함량 예측모델식은 건조방법에 관계없이 시간과 수분활성도, 온도로 수립한 모델식의 적합도가 높았다.

• Journal of the Korean Wood Science and Technology
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• 제43권3호
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• pp.304-310
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• 2015

저장 또는 운송단계에서 목분에 포함된 수분의 부적절한 조절은 생물학적 열화로 인한 품질하락 및 손실을 야기할 수 있기 때문에 목분의 함수율은 정확하게 측정되어야 하고 적절하게 조절되어야 한다. 본 연구에서는 근적외선(파장 대역: 1000-2400 nm) 분광분석법을 적용하여 낙엽송(Larix kaempferi) 목분의 함수율을 측정하고자 하였다. 각 상대습도($25^{\circ}C$, RH 30~99%) 단계별로 조습된 목분의 근적외선 반사스펙트럼을 측정하고, 적정 수학적 전처리(smoothing, standard normal variate)와 부분최소자승법을 적용하여 예측모델을 개발하였다. 도출된 함수율 예측모델은 높은 신뢰도를 보였다($R^2$ = 0.94, RMSEP = 1.544). 본 연구에서 개발된 근적외선 분광분석법을 통하여 비파괴적이면서 정확하고 신속한 목분 함수율의 측정과 효율적인 목재이용을 견인할 수 있으리라 기대된다.

• 대한원격탐사학회지
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• 제34권4호
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• pp.611-624
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• 2018

The percentage of moisture content in rice before harvest is crucial to reduce the economic loss in terms of yield, quality and drying cost. This paper discusses the application of artificial neural network (ANN) in developing a reliable prediction model using the low altitude fixed-wing unmanned air vehicle (UAV) based reflectance value of green, red, and NIR and statistical moisture content data. A comparison between the actual statistical data and the predicted data was performed to evaluate the performance of the model. The correlation coefficient (R) is 0.862 and the mean absolute percentage error (MAPE) is 0.914% indicate a very good accuracy of the model to predict the moisture content in rice before harvest. The model predicted values are matched well with the measured values($R^2=0.743$, and Nash-Sutcliffe Efficiency = 0.730). The model results are very promising and show the reliable potential to predict moisture content with the error of prediction less than 7%. This model might be potentially helpful for the rice production system in the field of precision agriculture (PA).

• 한국지반공학회논문집
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• 제27권9호
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• pp.55-66
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• 2011

강제치환공법은 다른 연약지반 처리공법에 비하여 시공이 단순하고 경제성이 우수하나 현재까지 정확한 이론적 산정기법이 정립되어 있지 않기 때문에 치환심도의 예측이 제대로 이루어지지 않고 있는 실정이다. 본 연구에서는 대다수의 예측식이 지지력을 기반으로 한 내용에서 관점을 바꾸어 액성한계 및 자연함수비에 근거한 새로운 형태의 예측식을 제안하였다. 예측식은 현장에서 관측된 계측결과와 확인보링에 근거하고, 지역성을 대변하기 위해 시화지역의 실트/점토의 특성을 분석한 자료로부터 관계식을 도출하였으며, 이를 회귀분석기법을 적용하여 최종 예측식을 도출하였다.