• Journal of Korean Society on Water Environment
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• v.20 no.4
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• pp.365-369
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• 2004

Submerged membrane bio-reactor equipped with a hollow fiber microfiltration was applied to reuse weaving wastewater of water jet loom, where two parameters such as the concentration of MLSS and the flux were controlled. While the flux at the concentration of MLSS around 900mg/L was constantly kept over 0.4m/d and 0.8m/d in a short time, the stable flux at around 300mg/L of MLSS was shown at the 8 days later. Regardless of MLSS and flux, BOD, CODcr and Turbidity of the permeate were 1~2mg/L, 7~10mg/L and below 1 NTU, which were 85~90%, 87~90% and 98% of removal efficiency, respectively. The stable operation without fouling was achieved because the contents of ECP were smaller than those of common MBR processes and the composition(saccharide/protein) was kept constantly. In this study, 0.5~1.0m/d of flux and 400~900mg/L of MLSS were considered as the most recommendable operating condition for the reuse of weaving wastewater.

• YAKHAK HOEJI
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• v.45 no.5
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• pp.506-512
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• 2001

Ketoprofen (KP) was formulated as a transdermal patch using the percutaneous penetration enhancers sorbitan monmmleate(SMO), polyvinylpyrrolidone(PVP). The control patch without penetration enhancers showed a KP flux of 8.9$\pm$0.75$\mu\textrm{g}$/$\textrm{cm}^2$/h The flux was increased in proportion to the concentration of SMO added. Furthermore, lag times were decreased upon addition of SMO. Conversely; the skin flux of KP was decreased in proportion to the concentration of PVP added. Pharmacokinetic parameters including $C_{max}$, $T_{max}$, and AUC were increased when SMO was added. However, $C_{mas}$ significantly decreased by the addition of PVP. $T_{max}$ was not significantly different in 2%, 4%, and 8% PVP patches. Patches containing 4% PVP showed the highest AUC value (19.158$\mu\textrm{g}$.h/ml). We found that the effectiveness of the two percutaneous penetration enhancers for topical KP patches was similar, with the addition of appropriate amounts of HPC modifying both skin flux and lag time of KP in the patches. In conclusion, it is possible to manufacture KP patches exhibiting high AUC, high skin flux, and short lag time using percutaneous penetration enhancers of SMO and PVP.

• Journal of Korean Society on Water Environment
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• v.18 no.2
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• pp.113-122
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• 2002

A bench-scale anoxic membrane bioreactor (MBR) system, consisting of a bioreactor coupled to a ceramic crossflow ultrafiltration module, was evaluated to treat a synthetic wastewater containing alkaline hydrolysis byproducts (hydrolysates) of RDX, The wastewater was formulated the same as RDX hydrolysates, and consisted of acetate, formate, formaldehyde as carbon sources and nitrite, nitrate as electron accepters. The MBR system removed 80 to 90% of these carbon sources, and approximately 90% of the stoichiometric amount of nitrate, 60% of nitrite. The reactor was also operated over a range of transmembrane pressures, temperatures, suspended solids concentration, and organic loading rate in order to maximize treatment efficiency and permeate flux. Increasing transmembrane pressure and temperature did not improve membrane flux significantly. Increasing biomass concentration in the bioreactor decreased the permeate flux significantly. The maximum volumetric organic loading rate was $0.72kg\;COD/m^3/day$, and the maximum F/M ratio was 0.50 kg N/kg MLSS/day and 1.82 kg COD/kg MLSS/day. Membrane permeate was clear and essentially free of bacteria, as indicated by heterotrophic plate count. Permeate flux ranged between 0.15 and $2.0m^3/m^2/day$ and was maintained by routine backwashing every 3 to 4 day. Backwashing with 2% NaOCl solution every fourth or fifth backwashing cycle was able to restore membrane flux to its original value.

• Fire Science and Engineering
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• v.25 no.5
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• pp.128-133
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• 2011

The present study performs a series of 40 % reduced scale of ISO-9705 fire test to investigate the characteristics of heat flux on the floor level in terms of fire characteristics and location in the compartment. The heat flux was measured with Schmidt-Boelter type heat flux gauge at two locations on the floor level of inside and doorway side of the compartment. Different types of fuel - methane, heptane, toluene, ethanol, polystyrene - were burned in this test series. The measured heat flux inside of the compartment was relatively higher than that of front side as the heat release rate of fire and upper layer temperature increased. The difference of measured heat flux at inside and doorway side increased for high sooty fire. The present study shows that the heat flux distribution at lower layer greatly depend on the thermal radiation from fire and upper layer, not only the upper layer temperature but also various fire characteristics such as composition of combustion gases, soot concentration, ventilation condition and so on.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.1
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• pp.93-100
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• 2021

Forward osmosis (FO) process is a chemical potential driven process, where highly concentrated draw solution (DS) is used to take water through semi-permeable membrane from feed solution (FS) with lower concentration. Recently, commercial FO membrane modules have been developed so that full-scale FO process can be applied to seawater desalination or water reuse. In order to design a real-scale FO plant, the performance prediction of FO membrane modules installed in the plant is essential. Especially, the flux prediction is the most important task because the amount of diluted draw solution and concentrate solution flowing out of FO modules can be expected from the flux. Through a previous study, a theoretical based FO module model to predict flux was developed. However it needs an intensive numerical calculation work and a fitting process to reflect a complex module geometry. The idea of this work is to introduce deep learning to predict flux of FO membrane modules using 116 experimental data set, which include six input variables (flow rate, pressure, and ion concentration of DS and FS) and one output variable (flux). The procedure of optimizing a deep learning model to minimize prediction error and overfitting problem was developed and tested. The optimized deep learning model (error of 3.87%) was found to predict flux better than the theoretical based FO module model (error of 10.13%) in the data set which were not used in machine learning.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3B
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• pp.311-319
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• 2006

A bed level change model(SED-FLUX) is introduced based on the realistic sediment transport process including bed load and suspended load behaviours at the bottom boundary layer. The model SED-FLUX includes wave module, hydrodynamic module and sediment transport and diffusion module that calculate suspended sediment concentration, net sediment erosion flux($Q_s$) and bed load flux. Bed load transport rate is evaluated by the van Rijn's TRANSPOR program which has been verified in wave-current fields. The net sediment erosion flux($Q_s$) at the bottom is evaluated as a source/sink term in the numerical sediment diffusion model where the suspended sediment concentration becomes a verification parameter of the $Q_s$. Bed level change module calculates a bed level change amount(${\Delta}h_{i,j}$) and updates a bed level. For the model verification the limit depth of the bed load transport is compared with the field experiment data and some formula on the threshold depth for the bed load movement by waves and currents. This model is applied to the beach profile changes by waves, then the model shows a clear erosion and accumulation profile according to the incident wave characteristics. Finally the beach evolution by waves and wave-induced currents behind the offshore breakwater is calculated, where the model shows a tombolo formation in the landward area of the breakwater.

• KSBB Journal
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• v.6 no.3
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• pp.309-319
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• 1991

A continuous stirred tank membrane reactor(CSTMR ) was developed and optimized for the production of cod skin gelatin hydrolyzates using endo-protease Alcalase. A experimental design methodology was used to optimize the four performance variables: enzyme concentration, substrate concentration, permeate flux and reactor volume. All four variables studied had an effect on substrate conversion, with enzyme and substrate concentrations being predominant. Conversion increased with the increase in enzyme concentration, with the decrease in substrate concentration, at high volumes and low flux. A strong interaction was observed between enzyme and substrate concentrations and smaller interactions between enzyme and flux and substrate and flux. The optimum operating conditions for the CSTMR process for an initial substrate concentration for 10% were $50^{\circ}C$, pH 8, flux 7.3ml/min, residence time 82 min, and Alcalase to substrate ratio 0.02(w/w). A gradual decay in reactor activity during 8 hrs was 2.1% conversion/hr. Enzyme leakage through the 10, 000 MWCO membrane was 16% at $50^{\circ}C$ and 12% at $35^{\circ}C$, 6hrs. However, there was no apparent correlation between enayme leakage and substrate conversion. The Km value for the CSTMR was 20 times higher than the batch reactor. The productivity(expressed as mg product/mg enzyme) of the CSTMR was more than six fold higher than the batch at $50^{\circ}C$. The hydrolyzate was non-bitter.

• Journal of Wetlands Research
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• v.21 no.4
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• pp.257-266
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• 2019

In this study, we selected 6 vegetation sites (reed community) and 6 non-vegetation sites (tidal flat) in the Muan tidal flat of Hampyeong Bay, and observed seasonal changes in carbon dioxide concentration, flux and soil temperature at low tide conditions. The study was conducted to identify the characteristics of seasonal changes in vegetation and non-vegetation areas through the data observed in May 30, August 8, 2012 and January 31, 2013. The average carbon dioxide concentration in the vegetation area was the highest in winter, followed by spring and summer, and the non-vegetation area showed the same concentration change as the vegetation area. The carbon dioxide flux in the vegetation area showed a positive (+) value in both spring and summer, but it was negative (-) in the winter. The average value of carbon dioxide flux was the highest in spring, but it was almost similar to summer, and winter was the lowest negative value. Non-vegetation areas showed positive emission in spring, and negative uptake in summer and winter; mean values were the highest in spring, and the difference between summer and winter was small. In summary of seasonal change characteristics of the research area, the emission of carbon dioxide was dominant in both areas in spring. In summer, carbon dioxide emission was dominant in the vegetation area, and the non-vegetation area was observed to uptake by photosynthesis of phytoplankton, but it was very small. In winter, changes in flux in both areas were very slight.

• Korean Journal of Food Science and Technology
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• v.25 no.4
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• pp.321-326
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• 1993

Membrane separation technology with polymeric membranes for the effective separation and energy conservation has emerged to be a new technology for separation in recent years. In this research, the reverse osmosis process was applied to the concentration process of clarified apple juices. The changes of concentration and permeate flux of apple juice in this process were measured at different membrane characteristics, operating pressures, temperature and flow rate. And the changes of quality were also measured at different pressures. The prediction model for the permeate flux based on these data was established. Generally, the osmotic pressure increased as the concentration of the feed increased in the RO process, which caused a reduction of permeate flux. The changes of permeate flux were not much dependent on temperature and flow rate, but very much dependent on pressure. The most effective factor in increased permeate flux was found to be the operating pressure, followed by temperature and flow rate. The final prediction model for the permeate flux was developed by the $SPSS^x$ computer program. The result showed that recovery of sugar was not affected by processing pressures, but the percentage recovery of total flavor was increased with increasing pressure.

• Journal of the Semiconductor & Display Technology
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• v.15 no.3
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• pp.30-34
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• 2016

We investigated magnetic field, discharged voltage, and as-deposited film uniformity at facing targets sputtering (FTS) system with magnetic field type: i) concentrated and ii) distributed magnetic field type. And Al doped ZnO (AZO) films were prepared at two magnetic field type such as concentrated magnetic field type and distributed magnetic field type, respectively. Discharge voltage at the distribution type is lower than concentration type due to low magnetic flux (middle magnetic flux: Concentration 1200 G and Distribution 600 G). The films deposited at the distributed magnetic field were more uniform than concentration type. All of prepared AZO films had a resistivity of under $10^{-4}[{\Omega}{\cdot}cm]$ and a transmittance of more than 85 % in the visible range.