• Title/Summary/Keyword: linear experimental system

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Arsenic Removal Using Iron-impregnated Ganular Activated Carbon (Fe-GAC) of Groundwater (철침착 입상활성탄(Fe-GAC)을 이용한 지하수 내 비소 제거기술)

  • Yoon, Ji-Young;Ko, Kyung-Seok;Yu, Yong-Jae;Chon, Chul-Min;Kim, Gyoo-Bum
    • Economic and Environmental Geology
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    • v.43 no.6
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    • pp.589-601
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    • 2010
  • Recently it has been frequently reported arsenic contamination of geologic origin in groundwater. The iron-impregnated ranular activated carbon (Fe-GAC) was developed for effective removal of arsenic from groundwater n the study. Fe-GACs were prepared by impregnating iron compounds into a supporting medium (GAC) with 0.05 M iron nitrate solution. The materials were used in arsenic adsorption isotherm tests to know the effect of iron impregnation time, batch kinetic tests to understand the influence of pH, and column tests to evaluate for the preliminary operation of water treatment system. The results showed that the minimum twelve hours of impregnation time were required for making the Fe-GAC with sufficient iron content for arsenic removal, confirmed by a high arsenic adsorption capacity evaluated in the isotherm tests. Most of the impregnated iron compounds were iron hydroxynitrate $Fe_4(OH)_{11}NO_3{\cdot}2H_2O$ but a mall quantity of hematite was also identified in X-ray diffraction(XRD) analysis. The batch isotherms of Fe-GAC for arsenic adsorption were well explained by Langmuir than Freundlich model and the iron contents of Fe-GAC have positive linear correlations on logarithmic plots with Freundlich distribution coefficients ($K_F$ and Langmuir maximum adsorption capacities ($Q_m$. The results of kinetic experiments suggested hat Fe-GAC had he excellent arsenic adsorption capacities regardless of all pH conditions except for pH 11 and could be used a promising adsorbents for groundwater arsenic removal considering the general groundwater pH range of 6-8. The pseudo-second order model, based on the assumption that the ate-limiting step might be chemisorption, provided the best correlation of the kinetic experimental data and explained the arsenic adsorption system f Fe-GAC. The column test was conducted to valuate the feasibility of Fe-GAC use and the operation parameters in arsenic groundwater treatment system. The parameters obtained from the column test were the retardation actor of 482.4 and the distribution coefficient of 581.1 L/mg which were similar values of 511.5-592.5 L/mg acquired from Freundlich batch isotherm model. The results of this study suggested that Fe-GAC could be used as promising adsorbent of arsenic removal in a small groundwater supply system with water treatment facility.

Strategies about Optimal Measurement Matrix of Environment Factors Inside Plastic Greenhouse (플라스틱온실 내부 환경 인자 다중센서 설치 위치 최적화 전략)

  • Lee, JungKyu;Kang, DongHyun;Oh, SangHoon;Lee, DongHoon
    • Journal of Bio-Environment Control
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    • v.29 no.2
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    • pp.161-170
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    • 2020
  • There is systematic spatial variations in environmental properties due to sensitive reaction to external conditions at plastic greenhouse occupied 99.2% of domestic agricultural facilities. In order to construct 3 dimensional distribution of temperature, relative humidity, CO2 and illuminance, measurement matrix as 3 by 3 by 5 in direction of width, height and length, respectively, dividing indoor space of greenhouse was designed and tested at experimental site. Linear regression analysis was conducted to evaluate optimal estimation method in terms with horizontal and vertical variations. Even though sole measurement point for temperature and relative humidity could be feasible to assess indoor condition, multiple measurement matrix is inevitably required to improve spatial precision at certain time domain such as period of sunrise and sunset. In case with CO2, multiple measurement matrix could not successfully improve the spatial predictability during a whole experimental period. In case with illuminance, prediction performance was getting smaller after a time period of sunrise due to systematic interference such as indoor structure. Thus, multiple sensing methodology was proposed in direction of length at higher height than growing bed, which could compensate estimation error in spatial domain. Appropriate measurement matrix could be constructed considering the transition of stability in indoor environmental properties due to external variations. As a result, optimal measurement matrix should be carefully designed considering flexibility of construction relevant with the type of property, indoor structure, the purpose of crop and the period of growth. For an instance, partial cooling and heating system to save a consumption of energy supplement could be successfully accomplished by the deployment of multiple measurement matrix.

Signal Analysis of Optical Biosensor to Detect Peroxide Using Electrically Controlled Release System (전기적 방출 조절 시스템을 이용한 광 페록사이드센서의 개발)

  • Min, Jun-Hong;Lim, In-Hee;Kim, Hyo-Han;Lee, Sang-Beak;Choi, Jeong-Woo;Lee, Won-Hong
    • Journal of Sensor Science and Technology
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    • v.6 no.1
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    • pp.35-42
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    • 1997
  • The optical biosensor using the electrically controlled release of reactive reagent is developed for the detection of peroxide. Rapid degradation of polymer complex of PEOx and PMAA occurs as the applied current increases and thus released amount of HPA increases. The degradation velocity of polymer and the amount of HPA released are linearly proportional to the applied current. Peroxide is reacted with the released reagent by peroxidase and then the product, a fluorescent dimer DBDA, is formed. The monochromic light from light source (150W Xe arc ramp) excites the DBDA and the excited light is transmitted through an optical fiber to be detected by a photodiode array. The change of fluorescence intensity is related to the change of peroxide concentration. The peroxidase is entrapped in Ca-alginate get on the inner surface. The biosensor has the linear signal range of 0.025mM-10.mM peroxide. By applying the step function of peroxide, reproducibility of biosensor has been investigated. The mathematical model is constructed by the combination of enzyme kinetics with reactor flow model. Good agreement is obtained between the experimental result and model prediction in the sensor signal.

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Wave Control by Bottom-Mounted and Fluid-Filled Flexible Membrane Structure (유체가 채워진 착저신 유연막 구조물에 의한 파랑제어)

  • 조일형;강창익
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.12 no.3
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    • pp.139-148
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    • 2000
  • In this paper, the interaction of oblique incident waves with a bottom-mounted and fluid-filled flexible membrane structure is investigated in the frame of linear hydro-elastic theory. The static shape of a membrane structure containing the fluid of a specific density is initially unknown and must be calculated before the hydrodynamic analysis. To solve hydrodynamic problem, the fluid domain is divided into the inner and outer region. The inner solution based on discrete membrane dynamic model and simple-source distribution over the entire fluid boundaries is matched to the outer solution ba~ed on an eigenfunction expansion method. The numerical results were compared to a series of Ohyama's experimental results. The measured reflection and tran¬smission coefficients reasonably follow the trend of predicted values. Using the computer program developed, the performance of a bottom-mounted and fluid-filled flexible membrane strocture is tested with various system parameters (membrane shape, internal pressure, density ratio) and wave characteristics (wave frequencies, incident wave angle). It is found that a bottom-mounted and fluid-filled flexible membrane structure can be an effel;tive wave barrier if properly designed.

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Soil-Water Partition Coefficients for Cadmium in Some Korean Soils (우리나라 일부 토양에 대한 카드뮴의 토양-물 분배계수)

  • Ok, Yong-Sik;Lee, Ok-Min;Jung, Jin-ho;Lim, Soo-kil;Kim, Jeong-Gyu
    • Korean Journal of Soil Science and Fertilizer
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    • v.36 no.4
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    • pp.200-209
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    • 2003
  • Distribution coefficient ($K_d$) is an universal parameter estimating cadmium partition for a soil-water-crop system in agricultural lands. This study was performed to find some factors affecting soil-water partition coefficients for cadmium in some Korean soils. The distribution coefficients ($K_d$) of cadmium for the 15 series of agricultural soils were measured at quasi-steady state in the pH ranges from 2 to 11. The adsorption data of the selected soils showed a linear relationship between log $K_d$ and pH, which was well agreed with theoretically expected results ; $log\;K_d=0.6339pH+0.5532(r^2=0.70^{**})$. Normalization of the partition coefficients were performed in a range of pH 3.5 ~ 8.5 to minimize adverse effects of Al dissolution, cationic competition, and organic matter dissolution. The $K_d$-om, partition coefficients normalized for organic matter, improved this linearity to the pH of soils. The values of $K_d$-om measured from the field samples were significantly correlated with those of $K_d$ predicted from the sorption-edge experimental data ($r^2=0.68^{**}$).

Wavelet based Fuzzy Integral System for 3D Face Recognition (퍼지적분을 이용한 웨이블릿 기반의 3차원 얼굴 인식)

  • Lee, Yeung-Hak;Shim, Jae-Chang
    • Journal of KIISE:Software and Applications
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    • v.35 no.10
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    • pp.616-626
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    • 2008
  • The face shape extracted by the depth values has different appearance as the most important facial feature information and the face images decomposed into frequency subband are signified personal features in detail. In this paper, we develop a method for recognizing the range face images by combining the multiple frequency domains for each depth image and depth fusion using fuzzy integral. For the proposed approach, the first step tries to find the nose tip that has a protrusion shape on the face from the extracted face area. It is used as the reference point to normalize for orientated facial pose and extract multiple areas by the depth threshold values. In the second step, we adopt as features for the authentication problem the wavelet coefficient extracted from some wavelet subband to use feature information. The third step of approach concerns the application of eigenface and Linear Discriminant Analysis (LDA) method to reduce the dimension and classify. In the last step, the aggregation of the individual classifiers using the fuzzy integral is explained for extracted coefficient at each resolution level. In the experimental results, using the depth threshold value 60 (DT60) show the highest recognition rate among the regions, and the depth fusion method achieves 98.6% recognition rate, incase of fuzzy integral.

Fast Detection of Power Lines Using LIDAR for Flight Obstacle Avoidance and Its Applicability Analysis (비행장애물 회피를 위한 라이다 기반 송전선 고속탐지 및 적용가능성 분석)

  • Lee, Mijin;Lee, Impyeong
    • Spatial Information Research
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    • v.22 no.1
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    • pp.75-84
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    • 2014
  • Power lines are one of the main obstacles causing an aircraft crash and thus their realtime detection is significantly important during flight. To avoid such flight obstacles, the use of LIDAR has been recently increasing thanks to its advantages that it is less sensitive to weather conditions and can operate in day and night. In this study, we suggest a fast method to detect power lines from LIDAR data for flight obstacle avoidance. The proposed method first extracts non-ground points by eliminating the points reflected from ground surfaces using a filtering process. Second, we calculate the eigenvalues for the covariance matrix from the coordinates of the generated non-ground points and obtain the ratio of eigenvalues. Based on the ratio of eigenvalues, we can classify the points on a linear structure. Finally, among them, we select the points forming horizontally long straight as power-line points. To verify the algorithm, we used both real and simulated data as the input data. From the experimental results, it is shown that the average detection rate and time are 80% and 0.2 second, respectively. If we would improve the method based on the experiment results from the various flight scenario, it will be effectively utilized for a flight obstacle avoidance system.

Effect of Water Temperature and Stocking Density on Growth of Juvenile Red Drum Sciaenops ocellatus (사육수온과 밀도가 홍민어 Sciaenops ocellatus의 성장에 미치는 영향)

  • Choi, Young-Ung;Rho, Sum;Lee, Young-Don
    • Journal of Aquaculture
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    • v.15 no.3
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    • pp.131-138
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    • 2002
  • Fed on commercial flounder diet at 20, 23 and $26^{\circ}C$ in semiclosed culture system for 32 weeks, the juvenile red drum (1.2 g) showed linear increase in daily feeding rate (DFR), growth (g/fish) and specific growth rate (SGR) with increasing temperature. In the second experimental series, the young red drum (214 g), cultured at densities of 2.16, 4.24 and 6.40 kg/$m^3$ in flow-through tanks at water temperatures from 12.3 to $27.2^{\circ}C$ for 25 weeks, grew faster at the stocking density of 2.16 kg/$m^3$ than at the densities of 4.24 and 6.40 kg/$m^3$ the difference in growth observed at the stocking densities of 4.24 and 6.40 kg/$m^3$ was not significant. The DFR and SGR were also significantly higher for the density group of 2.16 kg/$m^3$. Briefly, growth of the red drum increased with increasing tested range of temperature and was also faster with decreasing stocking density. However, the total growth (g/tank) increased with increasing stocking density.

Study on Optical Characteristics of 8-Hydroxyquinoline Synthesized Derivative as Sensing Material of the Fiber-Optic Copper Ion Sensor in Aqueous Environment (수질환경에서 광섬유 센서의 구리 이온 감지 물질로서 8-Hydroxyquinoline 합성유도체의 광학적 반응 특성 연구)

  • Kim, Beom Kyu;Park, Byung Gi
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.12
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    • pp.100-105
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    • 2017
  • An 8-hydroxyquinoline compound that was synthesized with 8-hydroxyquinoline-2-carboxaldehyde and 4-aminoantipyrine was investigated for use as the sensing material of a fiber-optic copper ion sensor in an aqueous environment. The experiment was conducted with a fiber-optic measurement system, in order to evaluate the relationship between the absorbance peak and copper ion concentration. The synthesized derivative exhibited a (highly selective) chromogenic phenomenon for copper ions among various metal ions in an aqueous environment and showed a specific absorbance peak at a wavelength of 530 nm for copper ions. The effect of mercury ions was investigated to evaluate the selectivity of the prepared synthesized derivatives toward Cu ions. The absorbance was measured at various concentration ratios of Cu and Hg ions (Cu:Hg ratios from 0.05 to 20), and it was found that the absorbance at 530 nm tended to increase with increasing Cu ion concentration. The experimental results also showed the linear relationship between the logarithmic concentration of copper ions and the specific absorbance peak at a wavelength of 530 nm. These results indicate that the synthesized 8-hydroxyquinoline compound has selectivity for copper ions and can be used as a sensing material for fiber-optic copper ion sensors.

Determination of Hot Air Drying Characteristics of Squash (Cucurbita spp.) Slices

  • Hong, Soon-jung;Lee, Dong Young;Park, Jeong Gil;Mo, Changyeun;Lee, Seung Hyun
    • Journal of Biosystems Engineering
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    • v.42 no.4
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    • pp.314-322
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    • 2017
  • Purpose: This study was conducted to investigate the hot air drying characteristics of squash slices depending on the drying conditions (input air velocity, input air temperature, and sample thickness). Methods: The developed drying system was equipped with a controllable air blower and electric finned heater, drying chamber, and ventilation fan. Squash (summer squash called Korean zucchini) samples were cut into slices of two different thicknesses (5 and 10 mm). These were then dried at two different input air temperatures (60 and $70^{\circ}C$) and air velocities (5 and 7 m/s). Six well-known drying models were tested to describe the experimental drying data. A non-linear regression analysis was applied to determine model constants and statistical indices such as the coefficient of determination ($R^2$), reduced chi-square (${\chi}^2$), and root mean square error (RMSE). In addition, the effective moisture diffusivity ($D_{eff}$) was estimated based on the curve of ln(MR) versus drying time. Results: The results clearly showed that drying time decreased with an increase in input air temperature. Slice thickness also affected the drying time. Air velocity had a greater influence on drying time at $70^{\circ}C$ than at $60^{\circ}C$ for both thicknesses. All drying models accurately described the drying curve of squash slices regardless of slice thickness and drying conditions; the Modified Henderson and Pabis model had the best performance with the highest R2 and the lowest RMSE values. The effective moisture diffusivity ($D_{eff}$) changes, obtained from Fick's diffusion method, were between $1.67{\times}10^{-10}$ and $7.01{\times}10^{-10}m^2/s$. The moisture diffusivity was increased with an increase in input air temperature, velocity, and thickness. Conclusions: The drying time of squash slices varied depending on input temperature, velocity, and thickness of slices. The further study is necessary to figure out optimal drying condition for squash slices with retaining its original quality.