• Journal of Advanced Marine Engineering and Technology
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• v.39 no.8
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• pp.807-812
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• 2015

A microcapsule water slurry is a latent heat-storage material having a low melting point. In this study, the thermal properties of a microcapsule water slurry are measured. The physical properties of the test microcapsule water slurry, i.e., thermal conductivity, specific heat, latent heat, and density, are measured, and the results are discussed for the temperature region of solid and liquid phases of the dispersion material (paraffin). It is clarified that Eucken's equation can be applied to the estimation of the thermal conductivity of the microcapsule water slurry. Useful correlation equations of the thermal properties of the microcapsule water slurry are proposed in terms of the temperature and concentration ratio of the microcapsule water slurry constituents.

• Journal of Korean Society for Quality Management
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• v.38 no.3
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• pp.449-462
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• 2010

In this Paper, We analyzed influence Factor to TPM Performance in medium and small enterprises by empirically. By Literature survey, We hypothesize education training and 5S influence to individual improvement, independence maintenance, planning and foresight, which also influence to flexibility, total equipment performance, quality, which finally influence to lower cost, delivery date. To analyze empirically, we survey questionnaire in medium and small enterprises being below 300 people. From statistical analysis, 7 hypotheses are rejected, which is different existing research. This is analyzed that reflect actuality that medium and small enterprises is different from large enterprises. We expect that result of this treatise does concentration effort in important factor to get TPM performance in medium and small enterprises.

• Health Policy and Management
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• v.2 no.2
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• pp.152-178
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• 1992

This study focuses on making recommendations for the improvement of poor emergency medical services or EMS in Korea. Problems of the current EMS system is widely reviewed. As an alternative of the current system, a franchises system is introduced to EMS. A feasibility study of the new system is carried out as follows. 1) The current EMS system shows such problem as; - Inadequacy of emergency medical fee schedule, - Shortage of emergency medical resources, - Concentration of emergency medical facilities in metropolitan area, - Unestablishment of training program for emergency personnel, - Inappropriateness of patients' behvaviro pattern in emergency care system. 2) Recommendations for the improvement of EMS are as follows: - Well organized communication and transportation system needs to be established by utilizing all the availabl EMS is to be devised for the provision of appropriate emergency care. - A franchises system can be widly adopted so that private organizations are willing to establish a free standing emergency center. - Emergency care fee schedule of the franchises system needs to be appropriate for the system to provide high standard medical services.

• Geomechanics and Engineering
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• v.1 no.4
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• pp.307-321
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• 2009

The paper employs a feed forward neural network with back-propagation algorithm for modeling time dependent swell in clays containing carbonate in the presence of sulfuric acid. The oedometer swell percent is estimated at a nominal surcharge pressure of 6.25 kPa to develop 612 data sets for modeling. The input parameters used in the network include time, sulfuric acid concentration, carbonate percentage, and liquid limit. Among the total data sets, 280 (46%) were assigned to training, 175 (29%) for testing and the remaining 157 data sets (25%) were relegated to cross validation. The network was programmed to process this information and predict the percent swell at any time, knowing the variable involved. The study demonstrates that it is possible to develop a general BPNN model that can predict time dependent swell with relatively high accuracy with observed data ($R^2$=0.9986). The obtained results are also compared with generated non-linear regression model.

• Computers and Concrete
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• v.32 no.6
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• pp.607-613
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• 2023

The objective of this work is to determine the compressive strength of geopolymer concrete utilizing four distinct machine learning approaches. These techniques are known as gradient boosting machine (GBM), generalized linear model (GLM), extremely randomized trees (XRT), and deep learning (DL). Experimentation is performed to collect the data that is then utilized for training the models. Compressive strength is the response variable, whereas curing days, curing temperature, silica fume, and nanosilica concentration are the different input parameters that are taken into consideration. Several kinds of errors, including root mean square error (RMSE), coefficient of correlation (CC), variance account for (VAF), RMSE to observation's standard deviation ratio (RSR), and Nash-Sutcliffe effectiveness (NSE), were computed to determine the effectiveness of each algorithm. It was observed that, among all the models that were investigated, the GBM is the surrogate model that can predict the compressive strength of the geopolymer concrete with the highest degree of precision.

• Clinical and Experimental Pediatrics
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• v.51 no.5
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• pp.506-511
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• 2008

Purpose : The results of pulmonary function test (PFT) in children are variable according to the patient's cooperation and comprehensiveness. This study has intended to figure out the effectiveness of pre-education and training with balloons on PFT in children. Methods : One hundred six children mean aged $9.35{\pm}2.92\;years$ were tested. All participants performed PFT twice in 30 minutes intervals. First PFT were performed after usual instruction and second PFT were performed according to randomly classified grouping; Group 1 : repeat PFT after training with balloons, Group 2 : repeat PFT after training and education, both, Group 3 : repeat PFT after education about objects and necessities of pulmonary function test, Group 4 : repeat PFT without any education and training. Results : There were no difference statistically on the results of percent of predicted $FEV_1$, $FEV_1/FVC$, $FEF_{25-75%}$ and PEFR in Group 1, 2 and 4 patients. In some cases, the average is decreased with repeated PFT. At the case of repeated PFT after education, the average of percent of predicted $FEV_1$, $FEV_1/FVC$, $FEF_{25-75%}$ and PEFR is increased. There was statistically significant difference on the value of $FEV_1$, $FEF_{25-75%}$ and PEFR between first and second PFT in Group 3. Conclusion : Training with balloons before PFT causes fatigueness and lowers concentration. Understanding of PFT makes results better than training. Therefore, enough explanation and education about PFT before examination is most effective for appropriate PFT in children.

• Journal of Animal Science and Technology
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• v.59 no.1
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• pp.2.1-2.6
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• 2017

Background: This study aimed to analyze the on heart rate, blood lactate concentration, packed cell volume (PCV) and hemoglobin (Hb) response after conducting exercise in endurance horses. Methods: A total of 20 healthy 3-9-years-old Jeju crossbreed mares ($5.95{\pm}2.24$ year) of age and $312.65{\pm}13.59kg$ of weight) currently participating the endurance competition were used. The field tests selected for the experiment was gallop (approximately 8.3 m/s) along the selected 2.5 km course (a natural forest trail, not artificial road; a closed loop course). The horses were divided into three groups according to their age; 3-4 years of age (G1, $3.29{\pm}0.49$ year), 6-7 years of age (G2, $6.42{\pm}0.53$), and 8-9 years of age (G3, $8.50{\pm}0.55$). The measurements times for the heart rate, blood lactate concentration, PCV, and Hb analysis were conducted before exercise (T0), shortly after exercise (T1), 15 min after exercise (T2), and 30 min after exercise (T3), respectively. Data was analyzed using an analysis of covariance (ANCOVA) for repeated measures with times and groups. Results: The results of the comparison depending on the passage of rest time after exercise suggest that the heart rate and blood lactate concentration of three groups at T2 significantly decreased compared to T1 (p < 0.001). PCV of the G2 and G3 groups were significantly decreased at T2 compared to T1 (p < 0.01). Hb values at G2 (p < 0.01) and G3 (p < 0.001) groups were significantly decreased at T2 as compared to T1. However, heart rate, blood lactate concentration, PCV and Hb level at T1 showed no difference in the comparison of horses from different age groups with the exception of G3 group in terms of heart rate. Conclusion: The physiologic and hematological responses of horses during recovery time after 2,500 m exercise with gallop were no significant difference among the groups. These data are useful as a response evaluation method for training of endurance horses.

• Korean Journal of Veterinary Research
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• v.39 no.6
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• pp.1081-1090
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• 1999

To establish the protocol of a standardized exercise test for evaluating exercise intolerance and degree of fitness in Thoroughbred racehorses, we examined serum lactate concentrations related to exercise intensities using the high speed treadmill. Twelve clinically healthy Thoroughbred racehorses with or without previous training or racing history were assigned to two gorups, fit and unfit group, respectively. The protocol used for the standardized exercise test was consisted of two stages : stage of warm-up and that of acceleration. During the warm-up, the horses exercised 5 min at 1.8m/s and 3 min 3.4m/s without inclination. At the acceleration stage, exercise test was performed at 10% slope and the speed was increased from the initial 5m/s to the maximal speed which each tested horse could keep up with. The speed was increased with incremental steps of 1 m/s every minute. During the last 15 sec of each step, blood samples were collected for serum lactate determination. $V_{max}$(maximal treadmill speed which tested horses could keep up with) of the fit group ($10.93{\pm}0.33m/s$, mean${\pm}$SE, n = 6) was higher than that of the unfit group ($9.52{\pm}0.23m/s$, mean${\pm}$SE, n = 6). Serum lactate concentrations increased exponentially according to exercise intensities. $V_{La4}$(speed producing a serum lactate concentration of 4mmol/l) of the fit group, $6.45{\pm}0.26m/s$, was higher than that of the unfit group, $5.45{\pm}0.23m/s$. $La_{peak}$(peak plasma lactate concentration during the exercise test) was lower in the fit group ($20.34{\pm}1.62mmol/l$ at 1 min after maximal intensity exercise) than in the unfit group ($24.78{\pm}1.09mmol/l$ at 2 min after maximal exercise step). $t_{50%}$(time required for the recovery of lactate concentration to be one-half of $La_{peak}$ after maximal exercise) of the unfit group and the fit group were 40.0 and 18.0 min, respectively. Therefore, the protocol of the incremental standardized exercise test utilized in this study seems to be reliable for the assessment of fitness and exercise intolerance for the Thoroughbred racehorses.

• Asian-Australasian Journal of Animal Sciences
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• v.18 no.1
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• pp.22-26
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• 2005

Four male crossbred beef steers about 2 years old were used in a 4$\{times}$4 Latin square design to investigate the effect of pelleted sugarcane tops on voluntary feed intake, rumen fermentation and digestibility of nutrients. Experimental treatments were; Control (dried-chopped sugarcane tops (DCST)); PS1 (Pelleted sugarcane tops at 1 cm of diameter); PS2 (Pelleted sugarcane tops at 2 cm of diameter) and PS3 (Pelleted sugarcane tops at 3 cm of diameter). Roughage intake and total dry matter intake were 1.59, 1.62, 1.61, 1.63% BW and 2.09, 2.12, 2.11 and 2.13% BW in control, PS1, PS2 and PS3 treatments, respectively (p<0.05). Digestibility of DM, OM and CP were similar in control and PS3 treatment but there was significant difference (p<0.05) between control and PS1, PS2 treatments. Digestibility of neutral detergent fiber (NDF) and acid detergent fiber (ADF) were 52.89, 50.01, 50.05 and 50.56% and 41.91, 39.96, 39.91 and 39.69% in control, PS1, PS2 and PS3, respectively (p<0.05). Total volatile fatty acids concentrations in rumen contents was 67.68, 65.93, 66.15 and 66.67 mM in control, PS1, PS2 and PS3, respectively (p<0.05). Even though, concentrations of acetate and butyrate (%) were significant different (p<0.05) but concentration of propionate (%) was not affected by treatments (p>0.05). Rumen pH, ammonia nitrogen and plasma urea nitrogen were significantly different (p<0.05) among treatments. From this experiment, it was found that dried-chopped sugarcane tops increased digestibility of nutrients whereas pelleted sugarcane tops increased feed intake in beef cattle. However, pelleted sugarcane tops at 3 cm of diameter did similar result in digestibility and rumen parameters with DCST. Therefore, it could be concluded that pelleting sugarcane top is an alternative way to improve the quality of sugarcane tops for use as ruminant roughage source.

• Journal of Korean Society for Atmospheric Environment
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• v.24 no.E2
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• pp.63-73
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• 2008

In this study, neural network models (NNMs) were examined as alternatives to dispersion models in predicting the short-term $SO_2$ concentrations in a coastal area because the performances of dispersion models in coastal areas have been found to be unsatisfactory. The NNMs were constructed for various combinations of averaging time and prediction time in advance by using the historical data of meteorological parameters and $SO_2$ concentrations in 2002 in the coastal area of Boryeung, Korea. The NNMs were able to make much more accurate predictions of 1 hr $SO_2$ concentrations at ground level in the morning in coastal area than the atmospheric dispersion models such as fumigation models, ADMS3 and ISCST3 for identical conditions of atmospheric stability, area, and weather. Even when predictions of 24-h $SO_2$ concentrations were made 24 hours in advance, the predictions and measurements were in good accordance(correlation coefficient=0.65 for n=216). This accordance level could be improved by appropriate expansion of training parameters. Thus it may be concluded that the NNMs can be successfully used to predict short-term ground level concentrations averaged over time less than 24 hours even in complex terrain. The prediction performance of ANN models tends to improve as the prediction lagging time approaches the concentration averaging time, but to become worse as the lagging time departs from the averaging time.