• Applied Biological Chemistry
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• v.48 no.2
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• pp.140-149
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• 2005

In order to examine the changes of commercial value during storage conditions and shelf-life of Chungkookjang, response surface methodology of SAS program was applied to monitor orgenoleptic properties and color changes to determine optimum storage conditions. Lightness (L) value of vacuum-packed Chungkookjang showed under the 1% significance probability with high influence in all conditions such as sterilized temperature, storage time and storage temperature. Redness (a) value of vacuum-packed Chungkookjang was increased during highly sterilized and storage temperatures, and was individually influenced. One of the generally packed sample also showed that significance value was influenced under 10%, during high storage temperature. Yellowness (b) value of vacuum-packed Chungkookjang showed the significance probability under 1% during storage time and temperature, and under 5% during sterilized temperature. Also, stational point showed saddle type in both packaging samples. In case of vacuum-packed Chungkookjang, compatibility of odor was influenced by sterilized temperature under 10% significance probability. But generally packed samples have an effect on storage time under 1% significance probability effect on storage time, and sterilized temperature under 5%. In case of vacuum-packed Chungkookjang, compatibility of taste was highly concerned with storage time under 1% significance probability, whereas generally packed samples were concerned with storage temperature under 5% significance probability. Overall palatability of vacuum-packed samples showed maximum value of 5.15 on sterilized temperature ($61.92^{\circ}C$), storage temperature ($6.79^{\circ}C$) and storage time (56.48 days) during storage.

• Proceedings of the Korean Fiber Society Conference
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• 1996.10a
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• pp.1-5
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• 1996

• Journal of IKEEE
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• v.25 no.2
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• pp.261-266
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• 2021

This paper suggests design methodology for thermal infrared data correction algorithms considering environmental temperature variations. First, a thermal infrared measurement model is suggested by a parameter-dependent first-order input-output equation using the relationship between infrared measurement data and model environmental parameters. In order to compensate the influence of environmental temperatures on infrared data, a compensation function is identified. Through experiments, the proposed algorithm is shown to reduce the influence of environmental temperatures on the infrared data effectively.

• International Journal of Highway Engineering
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• v.10 no.1
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• pp.105-115
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• 2008

It is known that the long-term behavior and performance of jointed concrete pavement due to slab curling are affected by the environmental factors such as temperature, moisture, and so on. However, any relationships between the curling and its factors have not been defined clearly yet because of insufficient detailed investigation. The temperature, relative humidity, strain, vertical displacement of a concrete slab, and horizontal movement of its transverse joints were investigated by various sensors and devices instrumented in the slab of a concrete pavement section constructed for this study. The constraint of the curling by joint stiffness was investigated in addition to effect of the temperature and moisture on the early aged concrete slab by analyzing the field data measured for approximately 4days from concrete placement. The curling of the concrete slab showed 24hour cycles mainly because of the temperature effect, and the upward curling gradually increased because of the long-term effect of drying shrinkage of the concrete. The magnitude and variation of the curling were significantly affected by the joint stiffness which is comprised of aggregate interlocking and other factors. The effect of the variation of the seasonal joint stiffness varying with the temperature and long-term drying shrinkage on the slab curling will be investigated as a further study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.11
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• pp.3110-3114
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• 2009

Rotor temperature variation is a significant issue in the design of induction motor controls. In the literature, numerous studies have mentioned significant performance degradation due to rotor temperature variation unless it is taken into account. However, those studies have mainly focused on field-oriented control in terms of tracking performance. There was little research about the influence of rotor temperature variation on performance particularly in the case of optimal controls such as maximum torque per amp (MTPA) control strategy. This work investigates how to affect the performance of maximum torque per amp (MTPA) control strategy as rotor temperature varies in time. To this end, investigation was carried out in two ways to see whether the objective of MTPA control strategy is achieved regardless of rotor temperature variation. It is to produce a desired torque with the minimum possible stator current at the same time. Laboratory experiment shows that tracking performance and maximum torque per amp condition is significantly affected by rotor temperature variation as rotor temperature varies, thus ending up with performance degradation of MTPA control.

• Microbiology and Biotechnology Letters
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• v.15 no.5
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• pp.356-360
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• 1987

Effects of temperature on sisomicin fermentation were investigated. From the specific growth rates for logarithmic phase estimated at various temperatures, 8.2 kcal/g-mol was obtained as an activation energy for cell growth. It suggests that cell growth rate was limited by the internal diffusion layers for nutrients or oxygen caused by aggregated cells. Final antibiotic titer was decreased with in-creasing temperature, and it depended highly on the temperature to which cells were exposed during the logarithmic phase of growth. Temperature shifts during fermentation brought about an increase in antibiotic productivity.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.267-267
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• 2012

전 지구적으로 발생하고 있는 기후변화로 인한 기상이변으로 자연재해 발생빈도 및 피해규모는 증가하고 있는 추세로 나타나고 있다. 이에 따라 많은 연구는 자연재해에 직간접적으로 영향을 미치고 있는 홍수와 가뭄의 변화에 초점이 맞추어져 있는 것이 사실이다. 하지만, 최근에 우리나라의 경우 지난 2011년 2월에는 동해안의 폭설로 인하여 동해안지방 최심신적설량 극값 1위를 경신하였고, 2010년 1월 서울에는 40년만에 최대 적설량을 기록하는 등 최근 한반도에서 발생한 적설로 인하여 사회적 경제적 피해가 증가하고 있다. 따라서, 지구온난화에 기인한 기후변화 연구에서 상대적으로 소홀했던 적설량과 관련한 연구의 중요성도 대두되고 있다. 본 연구에서는 적설량에 온도 및 강수가 미치는 영향을 평가하기 위하여 관측기상자료를 이용하였다. 적설량은 기상인자들의 복잡한 비선형 조합으로 발생하기 때문에 적설량에 영향을 미치는 온도, 강수, 적설량의 비선형 과정들을 고려할 수 있는 신경망 모형을 이용하여 적설량 예측 모형을 구성하였다. 30년 이상의 관측자료를 보유하고 있는 기상청 산하 58개 관측지점의 자료를 이용하여 2002년 이전에 관측된 온도, 강수, 적설량을 지점별로 훈련시켰으며 이를 적설량 예측에 활용하고자 하였다. 이를 위해 구성된 신경망 모형에 2002년 이후 지점별 온도, 강우자료를 이용하여 적설량을 산정하고 통계분석을 실시한 결과 적설량 예측에 적용이 가능함을 확인하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.9
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• pp.3822-3826
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• 2012

We have studied the effect of temperature and exposure time on the UV curing rate of Urethane Acrylate. UV dose has been modulated by changing the electric power, and temperature has been controled by coating rate and water temperature of the coating roll. Curing rate was evaluated by measuring gel fraction of the cured film. It has been found that effect of coating velocity on the gel fraction of the final film is predominant, but role of temperature of the UV chamber is negligible. These observations imply that exposure time of UV light is critical to have a fully cured film. To better understand the effect of design and operating condition of UV coater on the behavior of UV curing of Urethane Acrylate, we have also conducted heat-flux analysis of UV chamber.

• Journal of the Korean GEO-environmental Society
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• v.4 no.3
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• pp.69-77
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• 2003

This study was carried out to evaluate the WASP5 model parameters and to analyze the sensitivity of parameters in Daechung Reservoir. The values predicted by the model and tendency were very similar to the observed data at Daejeon intake, so it is possible to predict water quality of the Daejeon intake region in the future. Results from the sensitivity analysis showed that Chlorophyll-a was sensitive to variations in saturated growth rate of phytoplankton, endogenous respiration rate of phytoplankton, extinction coefficient and temperature. T-N was sensitive to mineralization rate of dissolved organic nitrogen and temperature. T-P was affected by T-P load, temperature, extinction coefficient, mineralization rate of dissolved organic phosphorus and saturated growth rate of phytoplankton. BOD was influenced by deoxygenation rate and temperature, and DO was influenced by temperature. Adequate input data was applied and assessed through the model sensitivity analysis. So it is possible to distinguish the input data which need careful attention when it has application to model.

• Korean Chemical Engineering Research
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• v.53 no.2
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• pp.181-192
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• 2015

The aim of this study is to obtain optimum process condition for using two tower distribution to recycle the waste Propylene Glycol Monomethyl Ether Acetate (PGMEA) that is formed after washing LCD. The optimum process condition for the content of PGMEA, which is dependent variable, at 1st distillation was calculated according to Bottom temperature (BTM temperature), Reflux amount, Feed amount, Feed temperatures, and the optimum process conditions and optimum factors for the content of PGMEA at 2nd distillation according to Bottom temperature (BTM temperature), Reflux amount, Feed amount, Feed temperatures. At 1st distillation, Reflux amount, Feed amount, and Feed temperature are significant variables. However, it is found that the BTM temperature range is not significant in the range of process condition used in this study. The optimum process conditions are based on $5700{\ell}$ of Feed amount, $2500{\ell}$ of Reflux amount, $165^{\circ}C$ of BTM temperature, and $130^{\circ}C$ of Feed temperature. For the this condition, the predicted content of PGMEA was calculated as 92.12~94.62%. Significant factors at 2nd distillation are Reflux amount, Feed amount, and BTM temperature. Multicollinearity is between Reflux amount and BTM temperature. BTM was omitted in the multiple regression equation because there is a strong positive correlation between Reflux amount and BTM temperature. Base on $199^{\circ}C$ of BTM temperature, The optimum process conditions are based on $4275{\ell}$ of Feed amount, $6200{\ell}$ of Reflux amount and $130^{\circ}C$ of Feed temperature. In this condition, the predicted content of PGMEA was calculated as 99.0~99.5%.