• 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.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2000년도 추계학술대회 논문집
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• pp.159-164
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• 2000

In order to clarify the seasonal variation of residual current and material transportation process in Hiroshima Bay, JAPAN, the real-time simulation of residual current and particle tracking by using Euler-Lagrange model were carried out. The calculated tidal current and water temperature and salinity showed good agreement with the observed ones. The residual currents showed the southward flow pattern at the upper layer, and the northward flow pattern at the lower layer. The flow structure of residual current in Hiroshima Bay is an estuarine circulation affected by density flow and wind driven current. The residual current plays an improtant role of material transportation in th bay.

• Asian Journal of Atmospheric Environment
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• 제8권4호
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• pp.175-183
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• 2014

To visually and chemically verify the rainout of soot particles, a model experiment was carried out with the cylindrical chamber (0.2 m (D) and 4 m (H)) installing a cloud drop generator, a hydrotherometer, a particle counter, a drop collector, a diffusing drier, and an artificial soot particle distributer. The processes of the model experiment were as follows; generating artificial cloud droplets (major drop size : $12-14{\mu}m$) until supersaturation reach at 0.52%-nebulizing of soot particles (JIS Z 8901) with an average size of $0.5{\mu}m$-counting cloud condensation nuclei (CCN) particles and droplets by OPC and the fixation method (Ma et al., 2011; Carter and Hasegawa, 1975), respectively - collecting of individual cloud drops - observation of individual cloud drops by SEM - chemical identifying of residual particle in each individual droplet by SEM-EDX. After 10 minutes of the completion of soot particle inject, the number concentrations of PM of all sizes (> $0.3{\mu}m$) dramatically decreased. The time required to return to the initial conditions, i.e., the time needed to CCN activation for the fed soot particles was about 40 minutes for the PM sized from $0.3-2.0{\mu}m$. The EDX spectra of residual particles left at the center of individual droplet after evaporation suggest that the soot particles seeded into our experimental chamber obviously acted as CCN. The coexistence of soot and mineral particle in single droplet was probably due to the coalescence of droplets (i.e., two droplets embodying different particles (in here, soot and background mineral particles) were coalesced) or the particle capture by a droplet in our CCN chamber.

• Geomechanics and Engineering
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• 제7권6호
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• pp.633-647
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• 2014

Biopolymers, polymers produced by living organisms, are used in various fields (e.g., medical, food, cosmetic, medicine) due to their beneficial properties. Recently, biopolymers have been used for control of soil erosion, stabilization of aggregate, and to enhance drilling. However, the inter-particle behavior of such polymers on soil behavior are poorly understood. In this study, an artificial biopolymer (${\beta}$-1,3/1,6-glucan) was used as an engineered soil additive for Korean residual soil (i.e., hwangtoh). The geotechnical behavior of the Korean residual soil, after treatment with ${\beta}$-1,3/1,6-glucan, were measured through a series of laboratory approaches and then analyzed. As the biopolymer content in soil increased, so did its compactibility, Atterberg limits, plasticity index, swelling index, and shear modulus. However, the treatment had no effect on the compressional stiffness of the residual soil, and the polymer induced bio-clogging of the soil's pore spaces while resulting in a decrease in hydraulic conductivity.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집A
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• pp.377-382
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• 2001

Mechanical behavior and electrical resistance change of CPDP (carbon particle dispersed plastic) composite consisting of epoxy resin and conductive carbon particle were investigated under monotonic loading and repeated loading-unloading. The electrical resistance almost linearly increased with increasing strain during loading and the residual electrical resistance was observed even after removing load. The value of the residual electrical resistance was dependent on the maximum strain under the applied stress. This result suggests that the estimation of maximum strain (i.e., damage) is possible by the measuring electrical resistance of composite. The behavior of electrical resistance change during and after loading was discussed on the basis of the results of microscopic deformation and fracture observation. Moreover, the relationship between the volume fraction of carbon particle and the electrical resistivity of CPDP was investigated in relation to the percolation theory. Simulation model of percolation structure was established by Monte Carlo method and the simulation result was compared to the experimental results. The electrical resistance change under applied loading was analyzed quantitatively using the percolation equation and a simple model for the critical volume fraction of carbon particle as a function of the mechanical stress. It was revealed that the prediction was in good agreement with the experimental result except in the region near the failure of material.

• 한국광물학회지
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• 제15권1호
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• pp.33-43
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• 2002

전북 익산지역의 한우사육에 사용한 황토를 gravel, sand, silt, coarse clay, fine clay으로 입도분리하여 각 분리된 시료에 대해서 광물성분 및 화학적 특성 등을 검토하였다 광물성분의 분석 결과, gravel과 sand에는 석영과 장석이 주로 포함되고, clay와 silt떼는 카오린광물 및 일라이트 등의 점토광물이 우세하며, 산화철광물은 fine clay에서 주로 포함된다. 주성분원소에서는 입경이 작은 시료일수록 Al, Fe, $H_2O$의 함량이 증가하여 점토광물의 함량 증가와 잘 일치하였다. 미량성분원소에서는 Zn, Rb, Sr, Ba, Pb등이 입도에 따라 큰 함량 차이를 보였다. Ba, Sr은 장석이 많은 sand에 다량 함유되어 주로 장석에 존재하는 것으로 나타났다 본래 황토 시료에 상당량 함유된 Pb 및 Sm은 입도분리된 시료에는 적은 함량을 나타내어, 입도 분리 과정에서 제거되기 쉬운 형태로 존재하는 것으로 보인다. Nb, La, Th, Ce 등은 silt 시료에 가장 많은 함량을 보였다. 이들 이외의 거의 모든 원소에서 점토광물의 함량이 많이 함유된 작은 입도시료에서 미량원소의 함량이 증가하는 경향 나타나 이들 대부분이 점토광물내에 주로 존재하는 것으로 보인다. 교환성양이온 함량과 산 및 알카리에 의한 용탈 원소 함량 등은 입자가 작은 점토시료에서 높게 나타났다. 따라서 가축사료 등 황토의 활용에 있어서 천연상태의 황토를 그대로 사용하는 것보다는 입도 분리에 의한 정제를 행한 미립의 점토분을 주로 사용하는 것이 황토의 이온교환성, 원소 용탈성, 흡착성, 흡수성 등의 특성을 향상시킬 수 있을 것으로 나타났다.

• 상하수도학회지
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• 제19권1호
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• pp.92-97
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• 2005

This research is to investigate the effect of the dual coagulant using inorganic coagulants($AICl3{\cdot}6H2O$) and polymer on the coagulant process. Jar-test was conducted by using Kaolin injected raw water. PDA(Photometric Dispersion Analyzer) equipment in order to analyze the size of the particles and the characteristics of the shapes. The change in the rate of sample ores' residual deposited after coagulants were also compared. According to the result derived from this experiment, the concentration of inorganic coagulant reduced 50% and the residual was lower by using dual coagulants compared to using single coagulant. However the dual coagulant required sufficient mixing time, and affected particle characteristics, with the effect of the injection order of coagulants, the simultaneous injection of inorganic coagulant and polymer showed the most effective in the particle removal.

• Composites Research
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• 제24권1호
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• pp.37-44
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• 2011

본 연구에서는 최적화 알고리즘 중 하나인 PSO기법을 이용하여 주파수 선택적 표면을 설계하였으며, 설계된 주파수 선택구조를 적용한 하이브리드 레이돔의 잔류응력을 예측하였다. 주파수 선택 구조로서 Square Loop의 등가회로모델에 PSO를 적용하여, K-band(23GHz)에서 차단특성을 갖는 최적의 설계값을 구하였다. 또한 FSS와 복합재료의 하이브리드 레이돔을 제작할 때 발생하는 잔류응력의 효과가 클 경우 구조적 안정성이 떨어질 뿐만 아니라 층간분리가 발생하여 FSS의 전파투과특성에 영향을 미칠 수 있으므로, 하이브리드 레이돔의 제작 시에 동시경화 후 상온으로 냉각되는 과정에서 발생하는 잔류 열응력에 대하여 예측하였으며, FSS패턴과 복합재료의 적층각 변화에 따른 영향을 비교하였다.

• 한국멀티미디어학회논문지
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• 제20권8호
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• pp.1406-1420
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• 2017

Artificial neural networks (ANNs) play an important role in the fields of function approximation, prediction, and classification. ANN performance is critically dependent on the input parameters, including the number of neurons in each layer, and the optimal values of weights and biases assigned to each neuron. In this study, we apply the particle swarm optimization method, a popular optimization algorithm for determining the optimal values of weights and biases for every neuron in different layers of the ANN. Several regression models, including general linear regression, Fourier regression, smoothing spline, and polynomial regression, are conducted to evaluate the proposed method's prediction power compared to multiple linear regression (MLR) methods. In addition, residual analysis is conducted to evaluate the optimized ANN accuracy for both training and test datasets. The experimental results demonstrate that the proposed method can effectively determine optimal values for neuron weights and biases, and high accuracy results are obtained for prediction applications. Evaluations of the proposed method reveal that it can be used for prediction and estimation purposes, with a high accuracy ratio, and the designed model provides a reliable technique for optimization. The simulation results show that the optimized ANN exhibits superior performance to MLR for prediction purposes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권6호
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• pp.2504-2526
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• 2016

Wireless sensors are always deployed in brutal environments, but as we know, the nodes are powered only by non-replaceable batteries with limited energy. Sending, receiving and transporting information require the supply of energy. The essential problem of wireless sensor network (WSN) is to save energy consumption and prolong network lifetime. This paper presents a new communication protocol for WSN called Dynamical Threshold Control Algorithm with three-parameter Particle Swarm Optimization and Ant Colony Optimization based on residual energy (DPA). We first use the state of WSN to partition the region adaptively. Moreover, a three-parameter of particle swarm optimization (PSO) algorithm is proposed and a new fitness function is obtained. The optimal path among the CHs and Base Station (BS) is obtained by the ant colony optimization (ACO) algorithm based on residual energy. Dynamical threshold control algorithm (DTCA) is introduced when we re-select the CHs. Compared to the results obtained by using APSO, ANT and I-LEACH protocols, our DPA protocol tremendously prolongs the lifecycle of network. We observe 48.3%, 43.0%, and 24.9% more percentages of rounds respectively performed by DPA over APSO, ANT and I-LEACH.