• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.290-297
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• 2016

The performance of track cleaning trains to remove accumulated fine particulate matter in subway tunnels depends on the design of the suction system equipped under the train. To increase the efficiency of the suction system under the cleaning vehicle, this paper proposes a novel dust suction module equipped with both air blowing nozzles and a dust suction structure. Computational Fluid Dynamics (CFD) analysis with turbulent flow was conducted to optimize the dust suction system with a particle intake and blowing function. The optimal angle of the air blowing nozzle to maximize the dust removal rate was found to be 6 degrees. The performance of the track cleaning vehicle can be increased by at least 10 percent under an operation speed of 5km/h.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.37 no.2
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• pp.175-180
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• 2009

In this article, we fabricated polytetrafluoroethylene(PTFE) nozzle treated by ion beam, in order to fabricate polymer based electrospray micro thruster with super hydrophobic nozzle. To obtain the super hydrophobic surface, PTFE surface is treated by argon and oxygen plasma treatment process. The optimal condition is investigated argon and oxygen flow rate as well as the paalied energy level for the treatment process. Fabricated nozzle was evaluated by measuring contact angle, and the surface morphology was examined by using scanning electron microscope(SEM) and atomic force microscope(AFM). We observe that jetting becomes more stable and repeatable on the treated nozzle. And to evaluate performance of fabricated nozzle, we measure micro scale thrust using a cantilever and a nozzle treated by ion beam laser displacement sensor.

• KIEAE Journal
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• v.17 no.5
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• pp.69-76
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• 2017

Purpose: This study aimed at developing an Artificial Neural Network (ANN) model for predicting the amount of cooling energy consumption of the variable refrigerant flow (VRF) cooling system by the different set-points of the control variables, such as supply air temperature of air handling unit (AHU), condenser fluid temperature, condenser fluid pressure, and refrigerant evaporation temperature. Applying the predicted results for the different set-points, the control algorithm, which embedded the ANN model, will determine the most energy efficient control strategy. Method: The ANN model was developed and tested its prediction accuracy by using matrix laboratory (MATLAB) and its neural network toolbox. The field data sets were collected for the model training and performance evaluation. For completing the prediction model, three major steps were conducted - i) initial model development including input variable selection, ii) model optimization, and iii) performance evaluation. Result: Eight meaningful input variables were selected in the initial model development such as outdoor temperature, outdoor humidity, indoor temperature, cooling load of the previous cycle, supply air temperature of AHU, condenser fluid temperature, condenser fluid pressure, and refrigerant evaporation temperature. The initial model was optimized to have 2 hidden layers with 15 hidden neurons each, 0.3 learning rate, and 0.3 momentum. The optimized model proved its prediction accuracy with stable prediction results.

• Korean Journal of Pharmacognosy
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• v.45 no.3
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• pp.200-208
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• 2014

In this study, we performed quantification determination of four major components including aurantio-obtusin, emodin, chrysophanol, and physcion in the 70% ethanol extracts of non-processed Cassiae Semen and processed Cassiae Semen using a high-performance liquid chromatography coupled with photodiode array detector. The analytical column for separation of the 4 constituents used a Gemini $C_{18}$ column kept at $40^{\circ}C$ by the gradient elution with 1.0% (v/v) acetic acid in water and 1.0% (v/v) acetic acid in acetonitrile as mobile phase. The flow rate was 1.0 mL/min and the injection volume was $10{\mu}L$. The amount of aurantio-obtusin, emodin, chrysophanol, and physcion in non-processed Cassiae Semen were 0.07%, 0.02%, 0.25%, and 0.10%, respectively. The amount of aurantio-obtusin, emodin, chrysophanol, and physcion in processed Cassiae Semen were 0.04-0.14%, 0.01-0.03%, 0.02-0.42%, and 0.01-0.24%, respectively. Consequently, the optimal processing condition of Cassiae Semen for the improvements of amounts of four anthraquinone compounds was obtained by roasting at $240^{\circ}C$ for 15 min.

• Natural Product Sciences
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• v.16 no.2
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• pp.116-122
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• 2010

A high-performance liquid chromatography (HPLC) with diode array detector (DAD) and electrospray ionization mass spectrometry (ESI-MS) was established for the simultaneous determination of five representative metabolites of the iridoid and phenolic classes from Rehmannia glutinosa. The optimal chromatographic conditions were obtained on an ODS column (5 mm, $4.6{\times}250\;mm$) with the column temperature at $25^{\circ}C$. The mobile phase was composed of water and acetonitrile using a gradient elution with the flow rate 0.3 mL/min. Detection wavelength was set at 205 nm. All calibration curves showed good linear regression ($r^2$ > 0.997) within test ranges. Limits of detection (LOD) and quantitation (LOQ) values were lower than 0.123 and $0.373\;{\mu}g/mL$, respectively. The developed method provided satisfactory precision and accuracy with overall intra-day and inter-day variations of 0.09 - 0.76% and 0.16 - 1.41%, respectively, and the overall recoveries of 99.03 - 102.67% for all of the compounds analyzed. In addition, effectiveness of diverse extraction methods was compared to each other for the development of standard analytic method. The verified method was successfully applied to the quantitative determination of five representative metabolites in twenty-one commercial Rehmannia glutinosa samples from different markets in Korea and China. The analytical results showed that the contents of the five analytes vary significantly with sources.

• Journal of Korean Society of Transportation
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• v.23 no.1
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• pp.21-32
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• 2005

At present automated speed enforcement system in Korea control overspeed vehicle only in the specific spot. Because the drivers generally recognize the previous stated fact, they reduce a speed only in the establishment location of systems and increase rapidly again as soon as it passes the location. we have known that the rate of traffic risk at the tunnel, bridge and curve road segment is higher than other road section. Therefore, it needs speed control in them. In such a case, it is necessary to establish the automated traffic enforcement system based on the travel time speed of an individual vehicle over a pre defined stretch of road. In this study, the application limit of existing spot overspeed enforcement system was studied through an analysis of traffic flow characteristics in the tunnel, bridge and curve section. Also we found out the optimal distance of segment and the most suitable location to an application of the overspeed vehicle by travel time speed through an analysis of the road structure, traffic condition and accident numbers in the road.

• Korean Journal of Pharmacognosy
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• v.36 no.3 s.142
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• pp.177-185
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• 2005

For the purpose of the quality control of Poria cocos, three major compounds were isolated and identified as pachymic acid (1), $3{\beta}-hydroxylanosta-7,9(11),24-trien-21-oic$ acid (2), and dehydroeburicoic acid (3). The optimal extraction conditions for the quantification of pachymic acid its analogues were the 3 hours of reflux with 15g of P. cocos in 100ml 95% ethanol. HPLC conditions were as follows: Column; ZORBAX Eclipse XDB C18 $(4.6{\times}250\;mm,\;Agillent)$, mobile phase; 1% HOAc in 70% $MeOH{\rightarrow}1%$ HOAc in 100% MeOH for 25 min, then 1% HOAc in 100% MeOH for 15 min, detector, ELSD, flow rate; 1ml/min. The mean contents of 1,2, and 3 in Poria cocos cultivated at 18 different site were $0.65{\pm}0.19,\;0.88{\pm}0.72,\;and\;0.84{\pm}0.54\;mg/g$, respectively, and values might be the guide line for the quality control of P. cocos.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.52 no.1
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• pp.87-91
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• 2019

Effects of feeding frequency on the growth performance of juvenile starry flounder Platichthys stellatus were investigated. One thousand fifty fishes were distributed into 15 of 500-L flow-through tanks. Triplicate groups of were fed experimental diet with five feeding frequency (one meal every two days, one meal a day, two meals a day, three meals a day and four meals a day) for 9 weeks. Weight gain and specific growth rate (SGR) of fish fed two meals a day were higher than those of fish fed one meal 2 days and one meal a day, but not different from those of fish fed three meals a day and four meals a day. Feed consumption of fish fed two meals a day was not different from that of fish fed three meals a day and four meals a day. Feed efficiency (FE) and protein efficiency ratio (PER) of fish fed two meals a day were higher than those of fish fed all other diets, except for three meals a day. These results suggest that the optimal feeding frequency is two meals a day for the optimum growth performance of juvenile starry flounder under the experimental conditions.

• Membrane and Water Treatment
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• v.10 no.1
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• pp.99-104
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• 2019

In Korea, nonpoint pollutants have a significant effect on rivers' water quality, and they are discharged in very different ways depending on rainfall events. Therefore, preparing an optimal countermeasure against nonpoint pollutants requires much monitoring. The present study was conducted to help prepare a method for installing an automatic nonpoint pollutant measurement system for the cost-effective monitoring of the effect of nonpoint pollutants on rivers. In the present study, monitoring was performed at six sites of a river passing through an urban area with a basin area of $454.3km^2$. The results showed that monitoring could be performed for a relatively long time interval in the upstream and downstream regions, which are mainly comprised of forests, regardless of the rainfall amount. On the contrary, in the urban region, the monitoring had to be performed at a relatively short time interval each time when the rainfall intensity changed. This was because the flow rate was significantly dependent on the rainfall's intensity. The appropriate sites for installing an automatic measurement system were found to be a site before entering the urban region, a site after passing through the urban region, and the end of a river where the effects of nonpoint pollutant sources can be well-decided. The analysis also showed that the monitoring time should be longer for the rainfall events of a higher rainfall class and for the sites closer to the river end. This is because the rainfall runoff has a longer effect on the river. However, the effect of nonpoint pollutant sources was not significantly different between the upstream and the downstream in the cases of rainfall events over 100 mm.

• Journal of Electrochemical Science and Technology
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• v.10 no.2
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• pp.115-122
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• 2019

In order to improve the current efficiency and reduce the energy consumption in the electrosynthesis of ammonium persulfate, electrolytic properties of a perfluorosulfonic cation exchange membrane named PGN membrane and the $Al_2O_3$ ceramic membrane in the electrosynthesis of ammonium persulfate were studied and compared in a pilot electrolytic cell using a welded platinum titanium as the anode and a Pb-Sb alloy as the cathode. The effect of cell voltage, electrolyte flow rate and electrolysis time of the electrolytes on the current efficiency and the energy consumption were studied. The results indicated that the PGN membrane could improve current efficiency to 95.12% and reduce energy consumption to $1110kWh\;t^{-1}$ (energy consumption per ton of the ammonium persulfate generated) under the optimal operating conditions and the highest current efficiency of the $Al_2O_3$ ceramic membrane was 72.61% with its lowest energy consumption of $1779kWh\;t^{-1}$. Among 5 times of the electrolysis of the electrolytes, the lowest current efficiency of the PGN membrane was 85.25% with the highest energy consumption of $1244kWh\;t^{-1}$ while the lowest current efficiency of the $Al_2O_3$ ceramic membrane was 67.44% with the highest energy consumption of $1915kWh\;t^{-1}$, which suggested the PGN membrane could be used in the 5-stage electrolytic cell for the industrially continuous electrosynthesis of ammonium persulfate. Therefore the PGN membrane can be efficient to improve the current efficiency and reduce the energy consumption and can be applied in the industrial electrosynthesis of ammonium persulfate.