• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.2
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• pp.8-13
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• 2021

The study for soil has been conducted separately by several areas such as soil mechanics and soil chemistry. Soil is important in terms of prediction of how the plant grow with nutrient requirement. Also, soil is important for machines to work on to solve labor shortage and save farmers from harsh environment during farm work. To meet diverse needs related to soil in agriculture, the soil related study needs to be conducted synthetically. Thus, we tried to obtain the data related to soil chemistry including pH and Electrical Conductivity (EC) with data related to soil mechanics including Cone Index (CI), moisture content, soil classification. Specifically, the condition of the field was set to be cultivated at least for five years continuously at a first step. The soil was taken from 30 sites. CI was obtained using the soil penetrometer and soil classification was conducted using sieve analysis with eight kinds of sieve. The soil was taken on December when is during winter in Korea. There was variation of data including moisture content and CI.

• Journal of Korean Society of Forest Science
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• v.94 no.6
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• pp.481-487
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• 2005

In this study, a GIS model to simulate the behavior of surface forest fires was developed on the basis of forest fire growth prediction algorithm. This model consists of three modules for data-handling, simulation and report writing. The data-handling module was designed to interpret such forest fire environment factors as terrain, fuel and weather and provide sets of data required in analyzing fire behavior. The simulation module simulates the fire and determines spread velocity, fire intensity and burnt area over time associated with terrain slope, wind, effective humidity and such fuel condition factors as fuel depth, fuel loading and moisture content for fire extinction. The module is equipped with the functions to infer the fuel condition factors from the information extracted from digital vegetation map sand the fuel moisture from the weather conditions including effective humidity, maximum temperature, precipitation and hourly irradiation. The report writer has the function to provide results of a series of analyses for fire prediction. A performance test of the model with the 2002 Chungyang forest fire showed the predictive accuracy of 61% in spread rate.

• Korean Journal of Food Science and Technology
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• v.19 no.2
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• pp.176-180
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• 1987

The sorption characteristics of dried garlic flakes stored at various relative humidity and storage temperature were studied. At low relative humidity below RH 51%, the sorption equilibrium was easily attained, whereas at higher relative humidity above RH 67%, the flakes were browned by higher equilibrium moisture content. The flakes were browned at relative humidity above 67% at $20^{\circ}C$ and $35^{\circ}C$, above 84% at $5^{\circ}C$, respectively. The moisture contents of monolayer value for the flakes were ranging from 5.80% to 6.20% (DB) with varying temperatures. And the necessity of moisture-proof packaging material suggested for the long term storage of the flakes because the lower moisture content and storage temperature, the higher driving force of wetting. Regression equation for browning rate prediction with relative humidity and storage temperature of the flakes was determined.

• Journal of the Korean Wood Science and Technology
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• v.39 no.6
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• pp.505-511
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• 2011

In this study, it is carried out to analysis of the bolt pretension of the stress-laminated timber. Bolt pretension of stress-laminated timber was decreased by time. The loss of force is caused by moisture content, shrinkage of wood. After re-stressing the stress-laminated timber, the rate of force decrement was slowed significantly. To use of stress-laminated timber for the service, it is necessary to make an accurate estimate of force. It is clear that is different between actual value and predicted value changes by existing model for bolt pretension of stress-laminated timber. Accordingly, considering the time and the external environment, the development of prediction model is needed.

• Journal of Marine Bioscience and Biotechnology
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• v.2 no.3
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• pp.160-167
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• 2007

Shelf-stability of powdered model food was determined during storage at various temperatures ($25^{\circ}C$, $35^{\circ}C$) and various moisture contents (3.5%, 6.0%, 8.0%). Moisture content, peroxide value, pH, color, microbial counting and sensory evaluation were conducted during storage. Moisture content, peroxide value, pH and color were not significantly changed during storage in all samples indicating that this powdered model food was relatively stable at given conditions. Pathogenic microorganisms, such as Bacillus cereus, Listeria spp., Clostridium perfrigens, Salmonella spp. and Staphylococcus aureus, were not found during storage suggesting that there was no problem in safety in this case. On the other hand, the number of artificially added Lactic acid bacteria was decreased with increasing both storage temperature and moisture content. Therefore, powdered model food was very shelf-stable and it was impossible to predict the shelf-life using above quality factors.

• Journal of the Korean Wood Science and Technology
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• v.48 no.6
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• pp.917-935
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• 2020

In this study, an automated sensor to measure forest fire surface fuel moistures was developed to predict changes in the moisture content and risk of forest fire surface fuel, which was indicators of forest fire occurrence and spread risk. This measurement sensor was a method of automatically calculating the moisture content of forest fire surface fuel by electric resistance. The proxy of forest fire surface fuel used in this sensor is pine (50 cm long, 1.5 cm in diameter), and the relationship between moisture content and electrical resistance, R(R:Electrical resistance)=2E(E:Exponent of 10)+13X(X:Moisture content)-9.705(R²=0.947) was developed. In addition, using this, the software and case of the automated measurement sensor for forest fire surface fuel moisture were designed to produce a prototype, and the suitability (R²=0.824) was confirmed by performing field monitoring verification in the forest. The results of this study would contribute to develop technologies that can predict the occurrence, spread and intensity of forest fires, and are expected to be used as basic data for advanced forest fire risk forecasting technologies.

• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.10
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• pp.1720-1725
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• 2004

Absorption characteristics of green tea powder were investigated. The monolayer moisture content determined by GAB equation was 0.024~0.052 g $H_2O$/g dry solid. The absorption enthalpy was calculated with different particle size and various water activities. It showed that the absorption energy was decreased with increasing water activity but no difference was found on particle size increasement. Among models applied for predicting equilibrium moisture content, Halsey model was the best fit model for green tea powders, showing the lowest prediction deviation of 2.1~4.0%. The prediction model equations for the water activity was established as function of relative humidity, time and temperature. The model equation will be helpful for future work on drying and storage of green tea powder.

• Journal of Biosystems Engineering
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• v.24 no.2
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• pp.89-98
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• 1999

In this paper, to estimate the effectiveness of the tractive performance prediction model(TPPMTV98) which was developed to predict the tractive performance of flexible tracked vehicles in previous paper, the experimental substantiation of the TPPMTV98 were conducted with the reconstructed tracked vehicle on the loam soil with the moisture content of 18.92%, and bevameter was constructed in order to measure soil properties in situ. The drawbar pulls measure were compared with predicted ones. As a result, the predicted drawbar pulls by the TPPMTV98 were well matched to the measured ones. Such results implied that the TPPMTV98 could well estimate the drawbar pulls at given soil conditions, and would be very useful as a simulation tool for designing a flexible tracked vehicle and predicting its tractive performance.

• Transactions on Electrical and Electronic Materials
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• v.13 no.6
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• pp.273-277
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• 2012

The vacuum drying process for drying of paper in current transformers was modeled with an aim to develop an understanding of the drying mechanism involved and also to predict the water collection rates. A molecular as well as macroscopic approach was adopted for the prediction of drying rate. Ficks law of diffusion was adopted for the prediction of drying rates at macroscopic levels. A steady state and dynamic mass transfer simulation was performed. The bulk diffusion coefficient was calculated using weight loss experiments. The accuracy of the solution was a strong function of the relation developed to determine the equilibrium moisture content. The actually observed diffusion constant was also important to predict the plant water removal rate. Thermo gravimetric studies helped in calculating the diffusion constant. In addition, simulation studies revealed the formation of perpetual moisture traps (loops) inside the CT. These loops can only be broken by changing the temperature or pressure of the system. The change in temperature or pressure changes the kinetic or potential energy of the effusing vapor resulting in breaking of the loop. The cycle was developed based on this mechanism. Additionally, simulation studies also revealed that the actual mechanism of moisture diffusion in CT's is by surface jumps initiated by surface diffusion balanced against the surrounding pressure. Every subsequent step in the cycle was to break such loops. The effect of change in drying time on the electrical properties of the insulation was also assessed. The measurement of capacitance at the rated voltage and one third of the rated voltage demonstrated that the capacitance change is within the acceptance limit. Hence, the new cycle does not affect the electrical performance of the CT.

• Food Science and Preservation
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• v.15 no.1
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• pp.30-36
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• 2008

In this study, raw ginseng produced by different method; was puffed and the absorption characteristics of the puffed ginseng powders were investigated Raw ginseng preparations, including white ginseng lateral root (WGL), red ginseng lateral root (RGL) and red ginseng main root (RGM) with 15 % moisture were puffed at a pressure of $7kg_f/cm^2$. The equilibrium moisture contents of puffed powders were affected by temperature and water activity. The monolayer moisture content determined by 1he BET equation was 0.034-0.045g $H_2O/g$ solid. The $R^2$ parameter of 1he BET equation was higher than that of the GAB equation. The absorption enthalpies, calculated using various water activities, showed a decreasing trend with increasing water activity. Amongst models applied for predicting equilibrium moisture content, 1he Kuhn model was 1he best fit for puffed ginseng powders, giving 1he lowest prediction deviation of 2.83-8.65% The prediction model equation for water activity included 1he variable of time, water activity (RH/l00) and temperature, whereas an equation featuring the parameters of time and water activity was the best model equation identified.