• Journal of The Korean Society of Agricultural Engineers
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• v.57 no.3
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• pp.65-76
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• 2015

Estimating water requirements for upland crops are characterized by standing soil moisture condition during the entire crop growth period. However, scarce rainfall and intermittent dry spells often cause soil moisture depletion resulting in unsaturated condition in the fields. Changes in rainfall patterns due to climate change have significant influence on the increasing the occurrence of extreme soil moisture depletion. Therefore, it is necessary to evaluate agricultural drought for upland crop water planning and management in the context of climate change. The objective of this study is to predict the impacts of climate change on agricultural drought for upland crops and changes in the temporal trends of drought characteristics. First, the changes in crop evapotranspiration and soil moisture in the six upland crops, such as Soybeans, Maize, Potatoes, Red Peppers, Chinese Cabbage (spring and fall) were analyzed by applying the soil moisture model from commonly available crop and soil characteristics and climate data, and were analyzed for the past 30 years (1981-2010), and Representative Concentration Pathways (RCP) climate change scenarios (2011-2100). Second, the changes on the temporal trends of drought characteristics were performed using run theory, which was used to compare drought duration, severity, and magnitude to allow for quantitative evaluations under past and future climate conditions.

• Journal of Biosystems Engineering
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• v.34 no.2
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• pp.114-119
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• 2009

Field test was conducted to investigate primary factors reducing rapeseed harvesting using a reciprocating cutter-bar of combine. The results showed that the correlation between crop moisture content and yield loss had a U-type, which indicated that the yield reduction increased at too high and too low crop moisture contents. The proper ranges of crop moisture contents were 27${\sim}$35%, 21${\sim}$56%, and 62${\sim}$73% in case of grain, pod and stem, respectively. Crop moisture content was negatively correlated with header loss, but positively correlated with threshing loss. In contrary, stem moisture content showed positive correlations with total loss, threshing loss and separation loss. Working speed was positively correlated with header loss. Total flow rate, pod flow rate and stem flow rate were highly correlated with threshing loss and separation loss. However, grain flow rate did not show any correlation with total loss. According to the principal component analysis, two principal components were derived as components with eigenvalues greater than 1.0. The contribution rates of the first and the second components were 52.7% and 38.9%, which accounted for 91.6% of total variance. As a contributive factor influencing total loss of rapeseed mechanical harvesting, a crop moisture content factor was greater than a crop flow rate factor. The stepwise multiple regression analysis for total loss was conducted using crop moisture content factor, crop flow rate factor and coefficient. However, the model did not show any correlation among independent and dependent factors ($R^2$=0.060).

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.1
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• pp.79-89
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• 2022

Soil moisture is significantly related to crop growth and plays an important role in irrigation management. To predict soil moisture, various process-based model has been developed and used in the world. Various models (Land surface model) may have different performance depending on the model parameters and structures that causes the different model output for the same modeling condition. In this study, the three land surface models (Noah Land Surface Model, Soil Water Atmosphere Plant, Community Land Model) were used to compare the model performance (soil moisture prediction) and develop the multi-model simulation. At first, the genetic algorithm was used to estimate the optimal soil parameters for each model, and the parameters were used to predict soil moisture in the study area. Then, we used the multi-model approach based on Bayesian model averaging (BMA). The results derived from this approach showed a better match to the measurements than the results from the original single land surface model. In addition, identifying the strengths and weaknesses of the single model and utilizing multi-model methods can help to increase the accuracy of soil moisture prediction.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.5
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• pp.93-103
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• 2020

In this study, we estimated soil moisture values using the Deep Neural Network(DNN) scheme at the mountainous regions. In order to test the sensitive analysis of DNN scheme, we collected the measured(at the soil depths of 10 cm and 30 cm) soil moisture and DNN input(weather and land surface) data at the Pyeongchang-gun(relatively flat) and Geochang-gun(steep slope) sites. Our findings indicated that the soil moisture estimates were sensitive to the weather variables(5 days-averaged rainfall, 5 days precedent rainfall, accumlated rainfall) and DEM. These findings showed that the DEM and weather variables play the key role in the processes of soil water flow at the mountainous regions. We estimated the soil moisture values at the soil depths of 10 cm and 30 cm using DNN at two study sites under different climate-landsurface conditions. The estimated soil moisture(R: 0.890 and RMSE: 0.041) values at the soil depth of 10 cm were comparable with the measured data in Pyeongchang-gun site while the soil moisture estimates(R: 0.843 and RMSE: 0.048) at the soil depth of 30 cm were relatively biased. The DNN-based soil moisture values(R: 0.997/0.995 and RMSE: 0.014/0.006) at the soil depth of 10 cm/30 cm matched well with the measured data in Geochang-gun site. Although uncertainties exist in the results, our findings indicated that the DNN-based soil moisture estimation scheme demonstrated the good performance in estimating soil moisture values using weather and land surface information at the monitoring sites. Our proposed scheme can be useful for efficient land surface management in various areas such as agriculture, forest hydrology, etc.

• Journal of Wetlands Research
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• v.20 no.1
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• pp.27-34
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• 2018

Reproductive phenology and physiological responses of Epilobium hirsutum L. to moisture content and nutrient content of soil were analysed in order to obtain basic data for effective conservation and restoration. Epilobium hirsutum L. is a perennial plant. But Epilobium hirsutum L. grew reproductively in all moisture and nutrient gradients. Flower bud, flowers and peduncle were respectively ripened in earlier under highest moisture condition and highest nutrient condition. And, number of flowers and peduncle were more quickly increased under highest moisture condition and highest nutrient condition. Chlorophyll content was high under highest moisture condition and higher middle moisture condition. However, we found no significant difference of chlorophyll content regard to nutrient gradients. There was no difference in minimum chlorophyll fluorescence among all moisture and nutrient gradients. The photochemical efficiency values of PS II were 0.75 in all moisture gradients, and it was 0.78 in highest nutrient gradient. The chlorophyll content of Epilobium hirsutum L. increased as the moisture content increased, and the Fv/Fm value increased as the organic matter increased. Our results showed that high moisture and nutrient content of soil advance their breeding season and promote reproductive growth. It might be important basic informations for the maintenance of population and the management of habitat of Epilobium hirsutum L. an endangered plant species.

• Journal of the East Asian Society of Dietary Life
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• v.25 no.1
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• pp.121-130
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• 2015

The present study replaced Atarigoma with Korea &Chinese sesame values a nd analyzed basic data on various mook to develop Korea's food culture. Contents of oleic acid and linolenic acid in sesame seed were 42.31% and 48.18%, respectively, with a total moisture content of 89.5%. As storage temperature increased, moisture content increased. Cohesiveness and springiness decreased gradually at $4^{\circ}C$ and increased at $20^{\circ}C$, whereas gumminess and chewiness increased at $4^{\circ}C$ and gradually decreased at $20^{\circ}C$. Overall acceptability scores of Japanese and Korean arrowroot starch sesame mook were 7.20 and 7.10, respectively. Korea and Japanese Sesame can be substituted for sweet potato starch, potato starch, and arrowroot starch.

• The Korean Journal of Food And Nutrition
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• v.23 no.3
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• pp.386-391
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• 2010

Sulgidduk samples containing control, 0.5, 1, 1.5 and 2% black ginseng extracts and a control were examined for moisture content, color, textural characteristics, and sensory qualities to determine the optimal ratio of black ginseng extracts in the formulation. The moisture content of sulgidduk added with black ginseng extracts was 37~40%. Additionally, the lightness decreased and the redness and the yellowness increased as the black ginseng extracts content increased. Hardness, springiness, gumminess and chewiness increase with the addition of black ginseng extracts. however, adhesiveness did not differ significantly among the groups. Sulgidduk containing 1% black ginseng extracts received the highest scores for color, flavor, texture and overall preference. Based on the above results of sensory and texture analyses, sulgidduk containing 1% black ginseng extracts had the highest quality for commercialization.

• Journal of the East Asian Society of Dietary Life
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• v.22 no.2
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• pp.239-245
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• 2012

Mulberry fruit powder was substituted for wheat flour in pound cake recipes in amounts of 0%(control), 5%, 10%, 15%, and 20%. We measured the specific gravity of the dough, specific loaf volume, dough yield, baking loss, moisture content, pH, color, identified the texture, and conducted a sensory evaluation for each pound cake. Moisture content increased according to the amount of mulberry fruit powder, but specific gravity, dough yield, and pH decreased. Specific loaf volume and baking loss increased as the amount of mulberry fruit powder increased, but not considerably. The chromatic 'L' and 'b' values were reduced as more mulberry fruit powder was added to more pound cake, While the chromatic 'a' value increased. Texture hardness, springiness, gumminess and chewiness decreased as the pound cake contained more mulberry fruit powder. Cohesiveness did not show any considerable differences beteeen the cakes. A sensory evaluation showed a high preference for the pound cake made with 10% mulberry fruit powder.

• Journal of Wellbeing Management and Applied Psychology
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• v.4 no.3
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• pp.39-44
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• 2021

Purpose: In this study, skin and lotion containing 10% FRO were prepared to compare the skin improvement effects. Research design, data and methodology: After using cosmetics containing FRO ingredients, analysis was performed for 6 weeks. Results: As a result of measuring the moisture and elasticity of the pores, significant results were obtained only in the pores when used for 2 weeks between the experimental group and the control group (p<.001). Also after 4 weeks of use, moisture (p<.05) showed significant results, and after 6 weeks of use, moisture (p<.01) and elasticity (p<.001) showed significant.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2004.11a
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• pp.138-143
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• 2004