• Journal of Environmental Science International
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• v.31 no.1
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• pp.61-76
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• 2022

In this study, surface particulate matter (PM_2.5) concentrations were calculated based on empirical equations using measurements of ceilometer backscatter intensities and meteorological variables taken over 19 months. To quantify the importance of meteorological conditions on the calculations of surface PM_2.5 concentrations, eight different meteorological conditions were considered. For each meteorological condition, the optimal upper limit height for an integration of ceilometer backscatter intensity and coefficients for the empirical equations were determined using cross-validation processes with and without considering meteorological variables. The results showed that the optimal upper limit heights and coefficients depended heavily on the meteorological conditions, which, in turn, exhibited extensive impacts on the estimated surface PM_2.5 concentrations. A comparison with the measurements of surface PM_2.5 concentrations showed that the calculated surface PM_2.5 concentrations exhibited better results (i.e., higher correlation coefficient and lower root mean square error) when considering meteorological variables for all eight meteorological conditions. Furthermore, applying optimal upper limit heights for different weather conditions revealed better results compared with a constant upper limit height (e.g., 150 m) that was used in previous studies. The impacts of vertical distributions of ceilometer backscatter intensities on the calculations of surface PM_2.5 concentrations were also examined.

• Journal of Veterinary Clinics
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• v.8 no.1
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• pp.31-45
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• 1991

Present experiment was performed in order to establish the optimal reaction conditions for determination of urinary AAP and GRS activities and to investigate the applicability of urinary AAP and GRS in nephrotoxicity test in rat. The results were as follows ; 1. The optimal pH of phosphate buffer for determination of urinary AAP activity was 7.8. 2. The Michaelis constant of urinary AAP ranged from 0.8 to 1.0mmol/$\ell$ 3. The optimal wave length for determination of urinary GRS activity was 405nm. 4. The optimal pH of acetate buffer for determination of urinary GRS activity was 5.6. 5. The Michaelis constant of urinary GRS ranged from 0.65~0.79mmo1/$\ell$. 6. The AAP activities in gel-filtered samples were significantly higher than those in crude samples. Mean values of AAP activities in gel-filtered samples and crude samples were 29$\pm$20 and 20$\pm$13U/$\ell$, respectively. 7. There was not significant difference between gel-filtered samples and crude samples in urinary GRS activities. Mean values of GRS activities in gel-filtered samples and crude samples were 57$\pm$40 and 56$\pm$39U/$\ell$, respectively. 8. Limits of linearity of urinary AAP and GRS activities were 2.0 and 3.6U/$\ell$, respectively. 9. Within-run imprecisions of the assays, were acceptable, as the coefficients of the AAP activities ranged from 5.5 to 6.3% and those of GRS activities ranged from 1.4 to 6.2%, respectively. 10. Urinary AAP excretion was 675$\pm$227mu/24hrs.kg before administration of potassium dichromate, and increased significantly to 4246$\pm$2567mU/24hrs.kg within 24 hours after administration of potassium dichromate. 11. Urinary GRS excretion did not increase significantly after administration of potassim dichromate. 12. From these findings it is concluded that urinary AAP excretion is early and sensitive Indicator to detect kidney damage in nephrotoxicity experiment.

• Proceedings of the KIEE Conference
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• 2009.04b
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• pp.6-8
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• 2009

This paper presents the novel implementation of memetic algorithm with GA (Genetic Algorithm) and MADS (Mesh Adaptive Direct Search), which is applied for optimal design methodology of electric machine. This hybrid algorithm has been developed for obtaining the global optimum rapidly, which is effective for optimal design of electric machine with many local optima and much longer computation time. In particular, the proposed memetic algorithm has been forwarded to optimal design of direct-driven PM wind generator for maximizing the Annual Energy Production (AEP), of which design objective should be obtained by FEA (Finite Element Analysis). After all, it is shown that GA combined with MADS has contributed to reducing the computation time effectively for optimal design of PM wind generator when compared with purposely developed GA implemented with the parallel computing method.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1997.10a
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• pp.193-196
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• 1997

In this paper we consider a Bayesian theoretic approach to periodic incomplete preventive maintenance with minimal repair at failure. We assume that the system failure rate is increasing as the frequency of PM increases and that the system is replaced at the K-th PM under this maintenance strategy. The optimal policies which minimize the expected cost rates are discussed. We seek the optimal periodic PM interval x and replacement time K under a Weibull failure intensity. Assuming suitable prior distribution for the Weibull parameters, we derive the posterior distribution incorporating failure data and obtain the updated optimal replacement strategies.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.852-853
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• 2008

This paper proposes an optimal design method for the shape optimization of the permanent magnets (PM) of an in-wheel permanent magnet synchronous motor (PMSM) to reduce the cogging torque considering a total harmonic distortion (THD) and a root mean square (RMS) value of back-EMF. In this method, the Kriging model based on a design of experiment (DOE) is applied to interpolate the objective function in the spaces of design parameters. The optimal design method for the PM of an in-wheel PMSM has to consider multi-variable and multi-objective functions. The developed design method is applied to the optimization for the PM of an in-wheel PMSM.

• Journal of Korea Multimedia Society
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• v.20 no.2
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• pp.363-370
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• 2017

Data assimilation is an initializing method for air quality forecasting such as PM10. It is very important to enhance the forecasting accuracy. Optimal interpolation is one of the data assimilation techniques. It is very effective and widely used in air quality forecasting fields. The technique, however, requires too much memory space and long execution time. It makes the PM10 air quality forecasting difficult in real time. We propose a fast optimal interpolation data assimilation method for PM10 air quality forecasting using a new kernel tridiagonal sparse matrix and CUDA massively parallel processing architecture. Experimental results show the proposed method is 5~56 times faster than conventional ones.

• Journal of Veterinary Clinics
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• v.13 no.2
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• pp.114-122
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• 1996

The aim of this study was to assess the precision of the estimates of the time of estrous cycle, optimal breeding and ovulation derived by vaginal cytology. The thirteen Korea Jin-do dogs were examined the vaginal cytology, plasma estradiol-17$$\beta $ and progesterone assay during the estrous cycle. Day 0 was the day of the first male acceptance. The main change of vaginal cytology during the estrous cycle was the high proportion of anuclear cell and erythrocyte in proestrus, superficial cell, anuclear cell and erythrocyte in estrus, parabasal cell, large intermediate cell and leukocytes in diestrus, and parabasal cell and small intermediate cell in anestrus, respectively. These data indicated that vaginal cytology was reliable method for estimating estrous cycle in Korea Jin-do dogs. In the cell indices during estrus the maximum eosinoghilic index was $92.0{\pm}$2.6 (Mean{\pm} SEM$)% at Day 2 and the maximum cornification indez was $96.0{\pm}1.3%$ at Day 2, respectively. The eosinothilic indez and cornification indez of up to 70% were found at Day -1 to Day 5 and Day -6 to Day 8, and up to 80% at Day 1 to Day 4 and Day -4 to Day 6, respectively. From these data it was presumed that eosinophilic index was more reliable index for monitoring optimal breeding time than cornification indexm because eosinophilic index peak period was shorter than cornification indeX peak period and Day 2 was the day of ovulation. Therefore, optimal breeding time was the eosinophilic index peak period, more than 80% of eosinoghilic index. The $estradiol-17{\beta}$ peak, with 3 days delayed when progesterone concentration was $4.5{\pm}0.5 ng/ml$. These data estimated that the ovulation time was the day of eosinophilic index peak, Day 2. breeding time and pvulation time in Korea Jin-do dogs.

• Journal of Trauma and Injury
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• v.26 no.3
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• pp.183-189
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• 2013

Purpose: The aim of this study was to identify the optimal insertion angle between the skin and the needle in ultrasound-guided internal jugular vein (IJV) catheterization with trauma patients. Methods: From March 2012 to December 2012, consecutive trauma patients who were planned to receive IJV catheterization were prospectively enrolled. We measured the distances from the skin to IJV's anterior-posterior (AP) vessel wall on the longitudinal scan's midline in supine-positioned patients. We calculated the AP diameter of IJV and the angle between skin and the imaginary line from the puncture site to the IJV's internal center on screen's midline (defined as optimal angle which is considered as the safest approach) on the longitudinal scan. We divided the patients into 3 groups based on the CVP (low CVP <5 $cmH_2O$, $5{\leq}$ middle CVP ${\leq}10\;cmH_2O$, and high CVP>10 $cmH_2O$) and compared their mean anterior posterior (AP) diameters and optimal angles. Results: A total of 56 patients were enrolled. Of these 21 were women(35.4%). The mean AP diameter of low CVP group was significantly lower than middle and high CVP groups($0.68{\pm}0.30$, $1.06{\pm}0.31$, and $1.23{\pm}0.49$ cm respectively, p=0.003 vs. 0.002). There was no significant difference among 3 groups' mean optimal angles ($28.1{\pm}6.1$, $30.1{\pm}4.5$, and $28.0{\pm}5.0$ degree respectively). Conclusion: The optimal angle between the skin and the needle in ultrasound-guided IJV catheterization with trauma patients is not changed as about 30 degrees regardless of CVP even though IJV's diameter is altered in proportion to the CVP.

• Proceedings of the KIEE Conference
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• 2004.10a
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• pp.24-26
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• 2004

The PM(Permanent Magnet) stepping Motor has been used widely to a variety of industries because of the open-loop control characteristic, a relatively large frequency range of velocity control and non-accumulated error of the step angle. Moreover, It has been gradually applied to office automation, machine intelligence, digital appliance, and automobile parts. This paper presents the optimal design results by use of the experimental method. The design variables of the PM stepping motor are shape of the claw-pole, material of core, and air-gap. As a result, a superior claw-pole PM stepping motor for OA machinery was developed.

• International Journal of Reliability and Applications
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• v.3 no.3
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• pp.113-124
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• 2002

This paper suggests the optimal periodic preventive maintenance policies after the combination warranty is expired. After the combination warranty is expired, a repairable system undergoes PM periodically and is minimally repaired at each failure. And also the system is replaced by a new system at the N th PM. In this case, we derive the mathematical formula for the expected cost rate per unit time. The optimal number and period for the periodic PM that minimize the expected cost rate per unit time are obtained. Some numerical examples are presented for illustrate purpose.