• Journal of Advanced Marine Engineering and Technology
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• v.37 no.5
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• pp.500-509
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• 2013

This study reports a numerical analysis of the internal flow characteristics of the integrated urea-SCR muffler system with the various geometries of the multi-perforated tube which is set up between the muffler inlet and in front of SCR catalysts. The multi-perforated tube is generally used to disperse uniformly the urea-water solution spray and to make better use of the SCR catalyst, resulting in the increased $NO_x$ reduction and decreased ammonia slip. The effects of the multi-perforated tube orifice area ratios on the velocity distributions in front of the SCR catalyst, which is ultimately quantified as the uniformity index, were investigated for the optimal muffler system design. The steady flow model was applied by using a general-purpose commercial software package. The air at the room temperature was used as a working fluid, instead of the exhaust gas and urea-water solution spray mixture. From the analysis results, it was clarified that the multi-perforated tube geometry sensitively affected to the formation of the bulk swirling motion inside the plenum chamber set in front of the SCR catalyst and to the uniformity index of the velocity distribution produced at the inlet of the catalyst.

• KSBB Journal
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• v.10 no.5
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• pp.510-517
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• 1995

The hydrolysates of three kinds [FSEH(first step enzymatic hydrolysate), SSEH(second step enzymatic hydrolysate), and TSEH(third step enzymatic hydyolysate)] were prepared by continuous hydrolysis of Alaska pollack(Theragra chalcogramma) skin gelatin with three-step membrane enzyme reactor. The molecular weight distributions of FSEH, SSEH, and THSE are 9,500∼4,800Da, 6,600∼3,400Da, and 2,300∼900Da, respectively. The contents of amino acid having sweet taste (glycine, proline, serine, alanine, hydroxyproline, glutamic acid, and aspartic acid) were about 70% of total amino acid being in the three kind hydrolysates. We also tried preparing of natural seasonings (complex seasoning and enzymeatic hydrolysale sauce) using the hydrolysates. From the results of sensory evaluations, complex seasoning containing TSEH was nearly equal to shellfish complex seasoning on the market. The mixture sauce which was made by mixing of 80% enzymatic hydrolysis sauce and 20% fermented soy sauce, was at least similar to the tradition soybean sauce in product quality, too.

• Journal of Korean Society of Environmental Engineers
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• v.35 no.2
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• pp.101-108
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• 2013

Ara Canal is the first artificial canal in Korea that connects the Han River and the Yellow Sea. Due to mixture of waters with different salinity and water quality, complicated hydrodynamic and water quality distributions are expected to occur inside the canal. An integrated hydrodynamic and water quality modeling system was developed using the 3 dimensional hydrodynamic model, EFDC (Environmental Fluid Dynamics Code) and the water quality model WASP (Water Quality Analysis and Simulation Program). According to the modeling results, BOD, TN, TP and Chl-a concentrations inside the canal were lower at the West Gate side than the Han River side since influent concentrations of the West Gate side are significantly lower. Chemical stratification due to salinity difference were more evident at the West Gate side as vertical salinity difference were more pronounced in this area. On the other hand, Chl-a concentrations showed more pronounced vertical distribution at the Han River side as Chl-a concentrations were higher in this area. It was notable that Dissolved Oxygen concentrations can be lower than 2 mg/L occasionally in the middle part of the canal. While major factor affecting DO concentrations in the canal are inflows via both gates, the other important factor was found to be BOD decay in the canal due to extended hydraulic residence time. This study can be used to predict hydrodynamic conditions and water quality in the canal during the year and thus can be helpful in the development of gate operation method of the canal.

• Korean Journal of Food Science and Technology
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• v.10 no.3
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• pp.313-319
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• 1978

In order to investigate the effect of dietary long chain fatty acids on fatty acid biosynthesis of liver in birds, single comb White Leghron male chicks were fed a fat-free diet an diets containing margaric, stearic and linoleic acids and liver lipid components and liver and plasma fatty acid distributions were compared. Total lipids of tissues were extracted with a chloroform-methanol mixture. The lipid components were determined by thin layer chromatography and fatty acid distribution of lipid fractions were determined by gas liquid chromatography. Fatty acid feeding did not affect liver lipid components. When margaric acid(17 : 0), was fed, 17:0 and heptadecenoic acid(17:1) appeared in every lipid fractions of liver and plasma, and distribution values of these acids were not significantly different between the lipid fractions of liver. In blood plasma of the 17 : 0 fed chicks, however, significantly higher distribution values of 17 : 0 and 17.1 were observed in the triglyceride fraction and in the cholesterol ester fraction, respectively. Dietary stearic acid (18 : 0) did not show any effect on the distribution of 18 : 0 in every lipid fractions of liver but showed a significantly higher distribution value of 18 : 0 in the free fatty acid fraction of plasma. When linoleic acid (18 : 2) was fed, every lipid fractions of liver and plasma contained 18 : 2, especially a significantly higher distribution value was observed in the phospholipid fraction of liver. Dietary margaric and linoleic acids tended to decrease the distribution value of endogenously synthesized palmitoleic (16 : 1) and oleic (18 : 1) acids in liver.

• Journal of Korea Water Resources Association
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• v.54 no.3
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• pp.167-179
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• 2021

In order to characterize the mixing process of confluence for understanding the impacts of a river on the other river, it has been crucial to analyze the spatial mixing patterns for main streams depending on various inflow conditions of tributaries. However, most conventional studies have mostly relied upon hydraulic or water quality numerical models for understanding mixing pattern analysis of confluences, due to the difficulties to acquire a wide spatial range of in-situ data for characterizing mixing process. In this study, backscatters (or SNR) measured from ADCPs were particularly used to track sediment mixing assuming that it could be a surrogate to estimate the suspended sediment concentration. Raw backscatter data were corrected by considering the beam spreading and absorption by water. Also, an optical Laser diffraction instrument (LISST) was used to verify the method of acoustic backscatter and to collect the particle size distribution of main stream and tributary. In addition, image-based spatial distributions of sediment mixture in the confluence were monitored in various flow conditions by using an unmanned aerial vehicle (UAV), which were compared with the spatial distribution of acoustic backscatter. As results, we found that when acoustic backscatter by ADCPs were well processed, they could be proper indicators to identify the spatial patterns of the three-dimensional mixing process between two rivers. For this study, flow and sediment mixing characteristics were investigated in the confluence between Nakdong and Nam river.

• Journal of Korea Water Resources Association
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• v.55 no.1
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• pp.43-57
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• 2022

Advances in measurement techniques have reduced measurement costs and enhanced safety resulting in less uncertainty. For example, an acoustic doppler current profiler (ADCP) based suspended sediment concentration (SSC) measurement technique is being accepted as an alternative to the conventional data collection method. In Korean rivers, horizontal ADCPs (H-ADCPs) are mounted on the automatic discharge monitoring stations, where SSC can be measured using the backscatter of ADCPs. However, automatic discharge monitoring stations and sediment monitoring stations do not always coincide which hinders the application of the new techniques that are not feasible to some stations. This work presents and analyzes H-ADCP-SSC models for 9 discharge monitoring stations in Korean rivers. In application of the Gaussian mixture model (GMM) to sediment-related variables (catchment area, particle size distributions of suspended sediment and bed material, water discharge-sediment discharge curves) from 44 sediment monitoring stations, it is revealed that those characteristics can distinguish sediment monitoring stations regionally. Linking the two results, we propose a protocol determining the H-ADCP-SSC model where no H-ADCP-SSC model is available.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.675-681
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• 2021

With the recent growth of the AI speaker market, the demand for speech synthesis technology that enables natural conversation with users is increasing. Therefore, there is a need for a multi-speaker speech synthesis system that can generate voices of various tones. In order to synthesize natural speech, it is required to train with a large-capacity. high-quality speech DB. However, it is very difficult in terms of recording time and cost to collect a high-quality, large-capacity speech database uttered by many speakers. Therefore, it is necessary to train the speech synthesis system using the speech DB of a very large number of speakers with a small amount of training data for each speaker, and a technique for naturally expressing the tone and rhyme of multiple speakers is required. In this paper, we propose a technology for constructing a speaker encoder by applying the deep learning-based x-vector technique used in speaker recognition technology, and synthesizing a new speaker's tone with a small amount of data through the speaker encoder. In the multi-speaker speech synthesis system, the module for synthesizing mel-spectrogram from input text is composed of Tacotron2, and the vocoder generating synthesized speech consists of WaveNet with mixture of logistic distributions applied. The x-vector extracted from the trained speaker embedding neural networks is added to Tacotron2 as an input to express the desired speaker's tone.

• Applied Microscopy
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• v.30 no.2
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• pp.173-183
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• 2000

This study was designed to observe the ultrastructural localization of synoviocytes, which are concerned with the function of phagocytic synovial cells (type A synoviocytes, macrophage-like synoviocytes), in the knee joint of the human for CD14 and CD105 by cryo-immune-electron microscopic technique. The synovium were dissected and fixed for two hours (in 4% paraformaldehyde and 0.1% glutaraldehyde mixture), and were immerged in 2.3 M sucrose and 20% PVP solution. Finally, they were cut with the cryoultramicrotome and labelled with primary antibodies (monoclonal mouse anti-human CD14, monoclonal mouse anti-human CD105 (endoglin) and secondary (donkey anti-mouse IgG) tagged with 6 nm colloidal gold particles. The tissues were observed under transmission electron microscope. This study was resulted as follows. 1. In the synovium of the human knee joint, CD14+ cells were identified. These cells showed phagocytic synovial cell's features. In the phagocytic synoviocyte, the distributions of CD14 were marked in the cytoplasm, around vacuoles, and in cytoplasmic process, but not detected inside of vacuoles. 2. In the synovium of the human knee joint, CD105+ cells were identified. These cells were recognized endothelial cells and phagocytic synovial cells. In the phagocytic synovial cells, the distributions of CD105 (endoglin) were marked in cytoplasic process, around vacuoles, and in cell membrane, but not detected inside of vacuoles. On the basis of above findings, it is obvious that phagocytic synovial cells were marked at CD 14 and CD 105, and might be play the role of activated macrophages or phagocytes in the synovial membrane.

• Korean Journal of Environmental Biology
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• v.39 no.4
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• pp.559-572
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• 2021

A survey was conducted to analyze water masses and spatial distributions of phytoplankton communities at 15 stations on the surface and chlorophyll a maximum layers (CML) in the western South Sea of Korea from September 8 to 9, 2021. As a result, water masses were classified into Coastal Waters (CW) with relatively low salinity, the Tsushima Warm Current (TWC) with high water temperature and high salinity, and mixed waters (MW) showing a mixture of these two water masses. Turbidity showed high concentration in both the surface and CML. The chlorophyll a concentration was as low as 0.90±0.43 ㎍ L^-1 in the surface, more than 1.1 ㎍ L^-1 in CW, around 1.0 ㎍ L^-1 in MW, and less than 0.5 ㎍ L^-1 in the TWC. CML was 1.64±0.54 ㎍ L^-1. Regarding species composition of phytoplankton communities, there were 57 species in 31 genera(diatoms, 57.8%; dinoflagellates, 35.1%; and other phytoflagellates, 7.1%). The phytoplankton standing crop had 4.6±7.6 cells mL^-1 in the surface, more than 30 cells mL^-1 in the CW, 2-5 cells mL^-1 in the MW, and less than 2 cells mL^-1 in the TWC. CML was slightly higher than the surface with a variation of 5.7±8.4 cells mL^-1. Dominant species were found to be Rhizosolenia flagilissima f. flagilissima, Skeletonema costatum-ls, and Nitzschia sp./ small size in the surface. For the CML Rh. flagilisima f. flagilissima showed a dominance of 12.0%. For the surface, the diversity variation was 2.36±0.40, which was high for TWC but low for MW. For CML, the diversity variation was 2.29±0.52, which was slightly lower than that of the surface. The dominance in the surface was 0.50±0.15, with a fluctuation range of more than 0.5 in MW and less than 0.5 in the TWC, which was different from the diversity. According to correlation analysis and principal component analysis (PCA), the presence of phytoplankton standing crops was high in CW but low in MW and TWC. That is, phytoplankton communities in early autumn were strongly affected by the expansion and mixing of water masses in western South Sea.

• Analytical Science and Technology
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• v.31 no.2
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• pp.96-105
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• 2018

This study aimed to improve the method for detecting eight secondary aliphatic amines (SAAs), so as to measure their concentrations in fresh water and tap water samples. NaOH (8 mL, 10 M) and benzenesulfonyl chloride (2 mL) were added to a water sample (200 mL), and the mixture was stirred at $80^{\circ}C$ for 30 min. An additional NaOH solution (10 mL) was added and the stirring was continued for another 30 min. The pH of the cooled mixture was adjusted to 5.5-6.0 by adding HCl (35 %), and the SAAs were extracted using dichloromethane (50 mL). This extraction was repeated once. The extract was then washed with $NaHCO_3$ (15 mL, 0.05 M) and dried over $Na_2SO_4$ (4 g). The extract was finally concentrated to 0.1 mL, of which $1{\mu}L$ was analyzed for SAAs by GC-MS. The linearity of the spike calibration curves was high ($r^2=0.9969-0.9996$). The detection limits of the method ranged from 0.01 to $0.20{\mu}g/L$, and its repeatability and reproducibility (expressed as relative standard deviation) were both less than 10 % (6.6-9.4 %). Its accuracy (measured in percentage error) ranged between 2.4 % and 6.1 %. The established method was applied to the analysis of five surface water and 82 tap water samples. Dimethylamine was the only SAA detected in all the water samples, and its average concentration was $0.79{\mu}g/L$ (range: $0.20-2.54{\mu}g/L$). Therefore, this study improved the analytical method for SAAs in surface water and tap water, and the regional and seasonal concentration distributions were obtained.