• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.3D
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• pp.205-212
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• 2012

The national highway traffic counts system consists of short duration counts and continuous counts. Unlike continuous counts, short duration counts are performed by collection of a few days period and thus, the magnitude of deviation of collected data from AADT varies depending upon when data collection takes place. Therefore, this study was done to find out the best months and days of data collection of each highway classification in order to enhance the accuracy of AADT estimation. Continuous counts, another type of the national traffic counts system, are performed by collection of 365-day period using a permanent traffic counter. Therefore, it is necessary to keep the number of days for which the counter malfunctions to a minimum in order to enhance the accuracy of data. However, from time to time the permanent traffic counter malfunctions due to various causes and thus, cannot collect data. Therefore, this study was done to find out whether the age of counter, the ratio of heavy vehicle volume to total traffic volume, etc. could be the direct causes of counter's malfunction based on the number of maintenance for a certain time period.

• Proceedings of the KSME Conference
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• 2003.04a
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• pp.213-219
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• 2003

Acoustic emission behavior during fatigue crack growth test was investigated under various loading condition. To describe the acoustic emission activity, counts rate (d/dn) was related with SIFR (stress intensity factor range, K). Results indicated that SIFR could be divided into two parts according to its relationship with counts rate. For $K<25_{MPa\sqrt{m}}$, counts rate was increased as the SIFR increased. However, for values greater than $25_{MPa\sqrt{m}}$ , decreasing behavior was shown. This behavior of counts rate corresponding SIFR was keeping the same trend regardless of load range or crack length. Acoustic emission response to the single overload was sudden drop and slow recovery in counts rate like crack growth retardation. Under variable loading condition, counts rate of each loading block was same as that of constant amplitude loading. Overall experimental data was somewhat scattered since sensitive characteristics of acoustic emission method. However, these empirical relations indicated that counts rate was uniquely correlate with single parameter, SIFR.

• Food Science of Animal Resources
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• v.32 no.4
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• pp.448-457
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• 2012

The predictive ability for off-flavor development and quality change of ground beef was evaluated using a microbial time temperature indicator (TTI). Quality indices such as off-flavor detection (OFD) time, color, pH, volatile basic nitrogen (VBN), aerobic mesophilic bacteria (AMB) counts, and lactic acid bacteria (LAB) counts were measured during storage at 5, 10, 15, and $25^{\circ}C$, respectively. Arrhenius activation energies (Ea) were estimated for temperature dependence. The Ea values for TTI response (changes in titratable acidity (TA)), VBN, AMB counts, LAB counts, and freshness, which is defined based on OFD time for quality indices of ground beef, were 106.22 kJ/mol, 58.98 kJ/mol, 110.35 kJ/mol, 116.65 kJ/mol, and 92.73 kJ/mol, respectively. The Ea of microbial TTI was found to be closer to those of the AMB counts, LAB counts, and freshness. Therefore, AMB counts, LAB counts, and freshness could be predicted accurately by the microbial TTI response due to their Ea similarity. The microbial TTI exhibited consistent relationships between its TA change and corresponding quality indices, such as AMB counts, LAB counts, and freshness, regardless of storage temperature. Conclusively, the results established that the developed microbial TTI can be used in intelligent packaging technology for representing some selected quality indices of ground beef.

• Tuberculosis and Respiratory Diseases
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• v.83 no.3
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• pp.185-194
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• 2020

Blood eosinophil counts have emerged as a chronic obstructive pulmonary disease (COPD) biomarker that predict the effects of inhaled corticosteroids (ICS) in clinical practice. Post-hoc and prospective analysis of randomized control trials have shown that higher blood eosinophil counts at the start of the study predict a greater response to ICS. COPD patients with frequent exacerbations (2 or more moderate exacerbations/yr) or a history of hospitalization have a greater response to ICS. Ex-smokers also appear to have a greater ICS response. Blood eosinophil counts can be combined with clinical information such as exacerbation history and smoking status to enable a precision medicine approach to the use of ICS. Higher blood eosinophil counts are associated with increased eosinophilic lung inflammation, and other biological features that may contribute to the increased ICS response observed. Emerging data indicates that lower blood eosinophil counts are associated with an increased risk of bacterial infection, suggesting complex relationships between eosinophils, ICS response, and the airway microbiome.

• Journal of Environmental Health Sciences
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• v.7 no.1
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• pp.33-41
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• 1981

This study was carried out to investigate Water Temperature, Residual Chlorine, Coliform Groups, and the Standard Plate Counts of Water Supply Areas provided by 7 Water Purification Plant (W.P.P) in Seoul from September 20, 1979 through October 20, 1979. The results were summarized below: 1) The mean water temperature of the 63 Water Samples was 19.8$\circ$C, the mean pH 7.18, and the mean residual chlorine concentration 0.52 ppm by each Water Supply Areas. There is no statistically significant differences between the WPP Areas, but there is significant differences between water supply areas. 2) 30(47.6%) out of the 63 Water Samples were Standard Plate Counts free and 33 Samples (52.4%) were contaminated by Standard Plate Counts. 30 (47.6%) out of 33 samples showed the existence of Standard Plate Counts less than 15 and the other 3 samples 15-30. 3) 2 (3.2%) out of the 63 Samples had the coliform. Those 2 Samples had 2 and 6 coliform group counts per 50ml respectively both of them were 0.1ppm in residual chlorine. 4) There is correlation among Water Temperature, pH, Residual Chlorine, Standard Plate Counts, and Coliform Groups. The Coefficient of Correlation(r) between Water Temperature & Residual Chlorine was 0.147, 0.240 between Water Temperature & Standard plate Counts and 0.215 between pH & Standard Plate Counts. These correlations are statistically no significant, But the correlation of coefficient between pH & Residual Chlorine was -0.291 which is showed significant correlation at p<0.05. The coefficient of correlation between Residual Chlorine & Standard Plate Counts was -0.441 which is showed Negative Correlation Statistically Significant difference at p<0.01.

• Korean Journal of Veterinary Service
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• v.16 no.1
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• pp.1-10
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• 1993

Samples of bulk herd milk, foremilk, last milk (stripping) and individual cow sample were collected and their somatic cell number were counted with Fossomatic counter (FCC), Coulter counter(CC), direct microscopic somatic cell count(DMSCC) and Califormia mastitis test (CMT), The results were compared and summarized as follows : 1. Mean somatic cell counts of 120 bulk herd milk samples obtained by DMSCC, FCC and CC were 433,203, 481,213 and 676,245 respectively. 2. Mean somatic cell counts of 116 foremilk samples obtained by DMSCC, FCC and CC were 515,035, 611,845 and 725,051 respectively 3. Mean somatic cell counts of 87 last milk samples obtained by DMSCC, FCC and CC were 718,506, 839,874 and 1,041,160 respectively. 4. Mean somatic cell counts of 57 individual cow samples obtained by DMSCC, FCC and CC were 449,258, 491,018 and 521,315 respectively. 5. Mean somatic cell counts of all samples increased with the increasing CMT score, and the cell counts were higher by CC than by FCC. 6. The correlation coefficients between the somatic cell counts by CMT and CC were 0.926 in bulk herd milk, 0.707 in foremilk 0.688 in last milk and 0.675 in individual cow sample, respectively 7. The correlation coefficients between the somatic cell counts by CMT and FCC were 0. 945 in bulk herd milk, 0.705 in foremilk 0.694 in last milk and 0.727 in individual cow sample, respectively. 8. The correlation coefficients between the somatic cell counts by CC and FCC were 0.978 in bulk herd milk, 0.997 in foremilk 0.983 in last milk and 0.985 in individual cow sample, respectively.

• Korean Journal of Veterinary Service
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• v.26 no.1
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• pp.27-31
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• 2003

In order to monitoring the chicken meat hygiene, 165 chicken samples were tested for contamination agents such as the total bacterial counts, coliform bacterial counts and falling bacterial counts. The prevalence of level on number of standard plate count(SPC), total bacterial counts in less than 10$^3$cfu/$\textrm{cm}^2$, 10$^3$∼10$^4$cfu/$\textrm{cm}^2$ and 10$^4$∼10$\^$5/cfu/$\textrm{cm}^2$ were 30 samples (18.2%), 98 samples(59.4%) and 37 samples(22.4%), respectively. The coliform bacterial counts in less than 10$^2$cfu/$\textrm{cm}^2$, 10$^2$∼10$^3$cfu/$\textrm{cm}^2$ and 10$^3$∼10$^4$cfu/$\textrm{cm}^2$ were 7 samples(4.2%), 66 samples (40.0%), 92 samples(55.8%), respectively. The falling bacterial counts in plants were higher 9.1, in summer 8.4, in fall 7.2 in spring and 6.7 in winter decreased.

• Korean Journal of Veterinary Service
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• v.26 no.3
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• pp.221-225
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• 2003

In order to monitoring the chicken meat hygiene, 165 chicken samples were tested for contamination agents such as the total bacterial counts, coliform bacterial counts and falling bacterial counts. The prevalence of level on number of standard plate count, total bacterial counts in less than $10^3\;cfu/cm^2$, $10^3{\sim}10^4\;cfu/cm^2$ and $10^3-10^5\;cfu/cm^2$ was 30 samples(18.2%), 98 samples(59.4%) and 37 samples(22.4%), respectively. The coliform bacterial counts in less than $10^2\;cfu/cm^2$, $10^2{\sima}10^$\;cfu/cm^2$ and $10^3{\sim}10^4\;cfu/cm^2$ was 7 samples(42.2%), 66 samples(40.0%), 92 samples(58.8%), respectively. The falling bacterial counts in plants was higher 9.1 in summer, 8.4 in fall, 7.2 in spring and 6.7 in winter, in order.

• Korean Journal of Veterinary Service
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• v.21 no.2
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• pp.157-161
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• 1998

To get the information of sanitary develoment of beef and pork, we get the result of environmental specimens(slaughter house floors, sewage, etc) in laboratory. 1. After examination of bacterial infection on after-bleeding, after-dismemberment and final products at each stage of cattle slaughter process, we got log 3.80~7.48cfu/$\textrm{cm}^2$ of aerobic plate counts and log 2.60~5.23cfu/$\textrm{cm}^2$ of coliform counts or so from the carcasses after bleeding, but these count levels went down little bit after dismemberment but as we continued study to the final products, the count levels kept sililar in mumbers. 2. At the slaughter process of pigs, the aerobic plate counts and the coliform counts reached such high levels of log 5.59~8.80cfu/$\textrm{cm}^2$ and log 3.31~5.67cfu/$\textrm{cm}^2$, respectively, after bleeding, in general, these count diminished in a big way after scalding, but they increased just little bit from dismemberment to final products. And there were few differences in the contamination levels on the final products no matter what seasonal contaminations after bleeding. 3. Test revealed very low levels of cell counts both on the aerobic plate counts of washing water and in the coliform counts, the former was log 1.00~2.69cfu/$\textrm{cm}^2$ and the later was log 3.30~5.67cfu/$\textrm{cm}^2$, but the contamination levels on the beds of transfering vehicles for carcasses were very high as followes : the aerobic counts was log 4.23~7.20cfu/$\textrm{cm}^2$ and coliform counts was log 2.86~5.20cfu/$\textrm{cm}^2$. 4. Study showed the aeroboc plate counts and the coliform counts get to the highest levels in summer, the second highest one is in fall, the third in spring, lowest in winter. Resulting from the test results proven above we reached this kind of conclusion the bacterial contaminations on eatable carcasses were upto hygienic treatment of carcasses and cleaniness of transfering vehicles at the final stop of slaughter processes rather than upto at any stage of slaughter processes. Therefore we have got to establish alternatives immediately to develo sanitary quality of meat and pork.

• Bulletin of the Society of Naval Architects of Korea
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• v.23 no.3
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• pp.17-26
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• 1986

A new relationship between total acoustic emission counts per cycle and crack growth rate is derived in terms of stress intensity factor to explain the acoustic emission behavior due to fatigue crack growth. The experimental results of the total acoustic emission counts per cycle obtained from aluminium 5,000 series alloy specimens are compared with the theoretical values. Both experimental and theoretical total acoustic emission counts per cycle result in the linear relationship to the crack length.