• Food Science and Biotechnology
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• 제16권5호
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• pp.759-764
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• 2007

To investigate the effect of soaking and particle sizes on the properties of rice flour and gluten-free rice bread, wet-milled (WRF, dried at $20^{\circ}C$) and dry-milled rice flours (DRF) were passed through sieves (45 or 100 mesh). Soaking of the rice grains affected the particle size distribution of flour passed through the same size screen. The L and b values of WRF were higher than those of DRF and were not changed with decreasing particle sizes, but DRF increased L and decreased b values. The initial pasting temperatures and setback viscosities of both flours decreased with decreasing particle sizes. The swelling powers at $100^{\circ}C$ increased with decreasing particle sizes in DRF, but maintained in WRF. Starch granules were observed on the surface of flour particles in WRF. The apparent viscosity of WRF paste exhibited 3-5 times higher than that of DRF. Thus, wet milled rice flour with smaller particle sizes (${\phi}<150\;{\mu}m$) showed better properties for making gluten-free rice bread.

• 한국응용과학기술학회지
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• 제25권1호
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• pp.107-114
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• 2008

In this article a reliable and rapid method based on specific turbidimetry is proposed for the determination of sizes of nanoparticles. Conventionally in specific turbidimetry specific turbidities for a colloidal dispersion are measured as a function of light wavelength, and compared to theoretical values calculated from Mie scattering theory for presumed particle sizes. In contrast specific turbidity at a fixed wavelength is measured in the proposed method, and particle sizes are determined from the prepared calibration curve. The calibration curve is a plot of specific turbidity vs particle size and in this case the specific turbidities are measured for a couple of samples of known sizes.

• Mass Spectrometry Letters
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• 제2권2호
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• pp.57-60
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• 2011

As background significantly affects measurement accuracy and a detection limit in determination of the trace amounts of uranium, it is necessary to determine the impurities in the Lexan detector film for single particle measurements by thermal ionization mass spectrometry coupled with fission track technique (FT-TIMS). We have prepared various micro sizes of the blank Lexan detector film using a micromanipulation technique for uranium measurements by TIMS. Few tens of fg of uranium background with no remarkable dependency on the film sizes were observed in the blank Lexan films with the sizes from $50{\times}50\;{\mu}m^2$ to $300{\times}300\;{\mu}m^2$. Based on the determination of the uranium background in the Lexan film, any background correction is necessary in the isotopic analysis of a uranium single particle with micron sizes when the particle bearing Lexan film is dissected with less than $300{\times}300\;{\mu}m^2$ size. The isotopic analysis of a uranium particle in U030 standard material using TIMS was carried out to verify the applicability of the Lexan film to the single particle analysis with high accuracy and precision.

• 한국환경보건학회지
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• 제20권4호
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• pp.45-52
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• 1994

This study was performed to investigate the contents of six heavy metals (Cd, Cr, Cu, Ni, Pb and Zn) with respect to the particle sizes and depths in sediment collected at nine sites of the lower Kumho river. The mean Cd, Cr, Cu, Ni, Pb and Zn contents in sediment of all sites ranged from 1.59~5.32 mg/kg, 17.4~301.7 mg/kg, 23.2~399.9 mg/kg, 9.48~116.8 mg/kg, 31.1~294.1 mg/kg and 74.2~964.3 mg/kg, respectively. The highest heavy metal contents was generally found to be Zn and lowest was Cd. The mean contents of heavy metal by particle sizes (1.0~0.5, 0.5~ 0.25, <0.25 mm)was the highest in particle sizes less than 0.25 mm, but the coefficients of variation was lowest in particle sizes less than 0.25 mm. Mean contents and coefficient of variation by depths (0~5 cm, 5~10 cm, 10~15 cm) were generally found to be higher in the upper parts of sediment than in the lower parts of sediment. Organic substances were found to be higher as the particle sizes become more small. Moreover, contents of heavy metal increased with the amounts of organic substances in sediment.

• 한국연소학회:학술대회논문집
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• 한국연소학회 2015년도 제51회 KOSCO SYMPOSIUM 초록집
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• pp.301-304
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• 2015

With the experiment observation of single particle combustion, this model is built for the numerical analysis of the process. It's about the single coal particle combustion process under different conditions with reasonable assumptions. The model can express the mass, radius, density, temperature changing with different particle sizes, oxygen concentration and gas temperature. It also includes the flame sizes change in different condition and the diffusion of each species. The result shows the characters of the combustion.

• 산업경영시스템학회지
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• 제40권1호
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• pp.95-104
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• 2017

This paper deals with solution methods for discrete and multi-valued optimization problems. The objective function of the problem incorporates noise effects generated in case that fitness evaluation is accomplished by computer based experiments such as Monte Carlo simulation or discrete event simulation. Meta heuristics including Genetic Algorithm (GA) and Discrete Particle Swarm Optimization (DPSO) can be used to solve these simulation based multi-valued optimization problems. In applying these population based meta heuristics to simulation based optimization problem, samples size to estimate the expected fitness value of a solution and population (particle) size in a generation (step) should be carefully determined to obtain reliable solutions. Under realistic environment with restriction on available computation time, there exists trade-off between these values. In this paper, the effects of sample and population sizes are analyzed under well-known multi-modal and multi-dimensional test functions with randomly generated noise effects. From the experimental results, it is shown that the performance of DPSO is superior to that of GA. While appropriate determination of population sizes is more important than sample size in GA, appropriate determination of sample size is more important than particle size in DPSO. Especially in DPSO, the solution quality under increasing sample sizes with steps is inferior to constant or decreasing sample sizes with steps. Furthermore, the performance of DPSO is improved when OCBA (Optimal Computing Budget Allocation) is incorporated in selecting the best particle in each step. In applying OCBA in DPSO, smaller value of incremental sample size is preferred to obtain better solutions.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2000년도 춘계학술대회논문집
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• pp.961-965
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• 2000

This study aims to predict the particle size of blasted rock. For this purpose, Predicted particle sizes were compared with the measured particle sizes at the rock blasting sites, where various blasting patterns which controls the bench height, depth of blasted hole, burden, spacing etc were tested. the difference of mean fragment size between measured and predicted values was 0.11m.

• 대한간호학회지
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• 제36권6호
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• pp.1033-1041
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• 2006

Purpose: Glass particle contamination of the contents of single-dose glass ampules can occur upon opening. Different aspiration techniques, different sizes of needles, different sizes of ampules, and different cutting methods were studied to determine if they had any effect on glass particle contamination. Method: Different aspiration techniques(with filter, without filter), different sizes of needles(18G, 25G), different sizes of ampules(2ml, 20m1), and different cutting methods(with cotton, without cotton) were evaluated. Method: Twenty ampules were randomly assigned in each group. Three slides containing glass particles for each ampule were made and counted under a microscope by 3 study blind persons. Result: The number of glass particle contamination is much less when using a filter rather than without a filter. The number of glass particle contamination is much less when using a 25G needle rather than on 18G needle. The number of glass particle contamination is much less when using 2ml ampules rather than 20m1 ampules. The number of glass particle contamination is much less when using cotton rather than without cotton. Conclusion: It was shown that using a filter, a small size needle, smaller sized ampules and using cotton when cutting the ampule will decrease the risk of parenteral injection of glass particles.

• 한국환경보건학회지
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• 제22권2호
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• pp.25-31
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• 1996

The species of four heavy metals (Cr, Cu, Ni and Pb) associated with sediments (viz exchangeable, carbonates, reducible, organic and residual fractions) were determined with respect to the particle sizes and depths at four locations of the lower Kumho river. In the exchangeable fraction, 3.7~19.52% of Ni and 2.8~14.81% of Pb were found, and in the carbonates fraction 2.12~19.43% of Ni and 1.39~15.42% of Pb were found. The reducible fraction retained about 8.66~44.93% of Cr, 0.41~9.79% of Cu, 17.38~35.74% of Ni and 9.5~44.89% of Pb. In the organic fraction about 0~21.06% of Cr, 2.95~35.74% of Cu, 0~14.66% of Ni and 0~10.65% of Pb were found. The residual fraction retained about 52.6~83.53% of Cr, 63.86~86.39% of Cu, 39.66~66.16% of Ni and 39.97~71.75% of Pb. The order of release or mobility of heavy metals was Ni > Pb > Cr > Cu. Mobile fraction of heavy metals by particle sizes (1.0~0.5 mm and 0.5~0.25 mm) was found to be higher in particle sizes 1.0~0.5 mm than that of 0.5~0.25 mm. The release or mobility of heavy metals by depths (0~5 cm, 5~10 cm and 10~15 cm) was found to be higher in the upper sediments than in the lower sediments, except Cu.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2005년도 춘계 학술발표회 논문집
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• pp.1126-1133
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• 2005

The effects of mean particle size and uniformity coefficient of dredged soils to the liquefaction resistance strength and dynamic characteristics are experimentally studied in this paper. Representative 4 mean particle sizes and 3 uniformity coefficients were selected and 12 representative particle size distribution curves which have different mean particle sizes and uniformity coefficients, were artificially manufactured using the real dredged river soil. Cyclic triaxial tests and torsional shear tests were carried out to analyze the effect of mean particle size and uniformity coefficient to the liquefaction resistance strength and dynamic characteristics of soils.