• 조명전기설비학회논문지
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• 제18권6호
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• pp.128-135
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• 2004

본 논문은 자기부상열차용 전원의 문제점을 개선시키기 위해서 다중루프 제어기를 제시하였다. 제시된 제어기는 3개의 부분으로 구성되어 있다. 첫 번째는 입력전압의 변동에 대하여 보상할 수 있는 Feed Forward제어기이며 두 번째는 리액터 전류와 출력 전류의 차를 보상하며, 세 번째는 비례적분제어기를 사용하여 출력전압에 포함된 리플을 감소시키므로써, 안정화된 시스템을 구현하였다. 이 시스템의 특성을 확인하기 위해서 Matlab Simulink와 고성능 DSP소자인 TMS320F240을 이용하여 비교 분석하였다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2012년도 전력전자학술대회 논문집
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• pp.359-360
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• 2012

This paper proposes a scheme of auto-tuning fuzzy PI controller and input voltage feed forward to control the output voltage of a three-phase Z-source inverter (ZSI). The proposed scheme adjusts the ts (Kp and Ki) in real time in order to find the most suitable Kp and Ki for PI controller and to simplify the controller design. The proposed scheme is verified the validity by experiment and co-simulation in PSIM and MATLAB/SIMULINK both load step change and input DC voltage variation in Z-source inverter, and has compared with the conventional PID control scheme. The experiment results involve of three-phase output voltage, Z-network capacitor voltage and dc-link peak voltage value. By those analysis and comparison, the availability of the proposed method in output voltage transient response quality improving has been verified. Compared with conventional PID method, the proposed method showed a more effective and robust control performance for coping with the severe disturbance conditions.

• 아시안잔디학회지
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• 제7권1호
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• pp.31-34
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• 1993

There is a growing concern in the United Stares over the environmental and human health implications associated with heavy use of water, pesticides, and inorganic ferilizers in maintaining picture perfect golf courses. There is also a growing awareness that a beautiful course is not necessarily a healthy course. The following discussion reviews the interrelationship of turfgrass and the soil that supports it and provides basic information on currently available alternatives to turf management practices that feature intensive application of inorganic fertilizers. water and pesticides. Soil is a dynamic natural environment in which microorganisms play an important role. Soil contains a large mass of microorganisms which produce thousands of enzymes that can catalyze the transformation and degradation of many organic molecules. (In top soil under optimum conditions may contain 10 billion cells per gram of soil.). Turfgrass and the soil which supports it are interdependent. The natural organic cycle as applied to turf and soil begins with healthy vigorous grass plants storing up the sun's energy in green plant tissues as chemical energy. Animals obtain energy by eating plants and when plants and animals die, their wastes are returned to the soil and provide "food" for soil microorganisms. In the next step of the organic cycle soil microorganisms break down complex plant tissues into more basic forms and make the nutrients available to grass roots. Finally, growing plants extract the available nutrients from the soil. By free operation of this organic cycle, natural grasslands have some of the most fertile soils on earths.

• Structural Engineering and Mechanics
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• 제71권5호
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• pp.545-552
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• 2019

The analysis and design of complex structures like sandwich-panel elements are difficult; the use of finite element method for the analysis is complicated and time consuming when non-linear effects are considered. On the other hand, artificial neural network (ANN) models can capture the non-linear effects and its application requires lesser computational demand. Two ANN models were trained, tested and validated to compute the force for a given displacement of a sandwich-type roof element; 2555 force and element deformation pairs were used for training the ANN models. For the models trained without considering the damping effect, there were two values in the input layer: maximum displacement and current displacement, and for the model considering damping, displacement from the previous step was used as an additional input. Totally, 400 ANN models were trained. Results show that there is a good agreement between the experimental and simulated data, and the models showed a good performance with a mean square error value of 4548.85. Both the ANN models could simulate the inelastic behaviour, loss of rigidity, and evolution of permanent displacements. The models could also interpolate and extrapolate, which enables them to be used as an analysis and design tool for such complex elements.

• Membrane and Water Treatment
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• 제10권5호
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• pp.373-379
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• 2019

One of the real issues of the recent years is water contamination because of harmful synthetic dyes. Liquid Membranes (LM) resemble a promising alternative to the current separation processes, demonstrating various points of interest as far as effectiveness, selectivity, and operational expenses. The improvement of various Liquid Membranes designs has been a matter of examination by few researchers, particularly for the expulsion of dyes from aqueous solutions. The choice of organic surfactants plays an essential role in the efficiency of the dye removal. In LM design, the most significant step towards productivity is the decision of the surfactant type and its concentration. Liquid emulsion membrane (LEM) was used to remove safranin from aqueous solutions in which the emulsion was made with the help of D2EHPA as carrier, kerosene was used as a diluent and Span 80 (Sorbiton monooleate) was used as an emulsifying agent or surfactant. Various sorts of internal stages were utilized, to be specific sulphuric acid and sodium hydroxide. The impact of parameters influencing extraction efficiency such as pH of feed solution, concentrations of surfactant and emulsifying agent in membrane phase, volume ratio of internal phase to membrane phase, internal phase concentration, agitation speed and time of extraction were analyzed.

• 소성∙가공
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• 제30권3호
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• pp.125-133
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• 2021

In this study, response surface method (RSM), back propagation neural network (BPNN), and genetic algorithm (GA) were used for modeling and multi-objective optimization of the parameters of AA5052-H32 in incremental sheet forming (ISF). The goal of optimization is to determine the maximum forming angle and minimum surface roughness, while varying the production process parameters, such as tool diameter, tool spindle speed, step depth, and tool feed rate. A Box-Behnken experimental design (BBD) was used to develop an RSM model and BPNN model to model the variations in the forming angle and surface roughness based on variations in process parameters. Subsequently, the RSM model was used as the fitness function for multi-objective optimization of the ISF process the GA. The results showed that RSM and BPNN can be effectively used to control the forming angle and surface roughness. The optimized Pareto front produced by the GA can be utilized as a rational design guide for practical applications of AA5052 in the ISF process

• Korean Chemical Engineering Research
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• 제61권2호
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• pp.328-339
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• 2023

Methanol steam reforming (MSR) is a promising method for hydrogen supplying as a critical step in hydrogen fuel cell commercialization in mobile applications. Modelling and understanding of the reactor behavior is an attractive research field to develop an efficient reformer. Three-layer feed-forward artificial neural network (ANN) and Box-Behnken design (BBD) were used to modelling of MSR process using the Cu-SiO₂ aerogel catalyst. Furthermore, impacts of the basic operational variables and their mutual interactions were studied. The results showed that the most affecting parameters were the reaction temperature (56%) and its quadratic term (20.5%). In addition, it was also found that the interaction between temperature and Steam/Methanol ratio is important on the MSR performance. These models precisely predict MSR performance and have great agreement with experimental results. However, on the basis of statistical criteria the ANN technique showed the greater modelling ability as compared with statistical BBD approach.

• Nuclear Engineering and Technology
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• 제55권10호
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• pp.3525-3534
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• 2023

Non-uniformity of Pu and Cm composition in used nuclear fuel was analyzed to determine its effect on Pu accountancy in pyroprocessing, while employing the Pu-to-²⁴⁴Cm ratio method. Burnup simulation of a typical pressurized water reactor fuel assembly, required for the analysis, was carried out using MCNP code. Used fuel nuclide composition, as a function of nine axial and two radial meshes, were evaluated. The axial variation of neutron flux and self-shielding effects were found to affect the uniformity of Pu and Cm compositions and in turn the Pu-to-²⁴⁴Cm ratio. However, the results of the study showed that these non-uniformities do not affect the use of Pu-to-²⁴⁴Cm ratio method for Pu accountancy, if the measurement samples are drawn from the voloxidized powder at the feed step of pyroprocessing. 'Material Unaccounted For' and its uncertainty estimates are also presented for a pyrprocessing facility to verify safeguards monitoring requirements of the IAEA.

• 유기물자원화
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• 제13권1호
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• pp.61-70
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• 2005

우리나라 음식물 쓰레기를 자원화하여 사료나 퇴비로 활용되는 과정에서 일어나는 고농도의 염분 문제를 해결하고 자원화 공정에서 배출되는 침출수의 수질 개선을 위하여 음식물 쓰레기에 소량의 물을 첨가하여 희석/탈수방법에 의한 로터리식 저염화 공정설비를 설계 제작하여 음식물 쓰레기에 함유된 염분 저감 실험을 수행하였다. 개발된 로터리식 저염화 공정설비는 시간당 0.5톤의 음식물 쓰레기를 연속적으로 투입할 수 있는 파이롯트 설비이며, 설비 가동시 첨가되는 물의 양은 음식물 쓰레기의 함수율에 따라 산출되는데 음식물 쓰레기 1kg당 약 0.8리터의 수돗물이 일정한 유속으로 로터리형 저염화 반응조에 분사 투입되면서 희석/교반/탈수공정에 의하여 저염화가 진행되는 구조이다. 설비의 성능 평가를 위하여 대학의 구내식당에서 배출되는 음식물 잔반을 수거한 그대로 설비에 투입하여 시험가동을 거친 후 실증 실험을 수행하였는데 염소이온의 침전 적정법, 전극에 의한 salinity측정법으로 염분의 저감도를 평가한 결과 음식물 쓰레기를 1차 탈수한 후 희석/교반/탈수에 의한 운영방법으로 항상 50%이상의 염분 저감효율을 얻을 수 있었다. 설비가동시 배출되는 침출수는 첨가된 물의 양을 포함하여 음식물 쓰레기 1kg당 약 1.1리터가 배출되는데 유기고형물질의 양이 매우 많아서 망에 의한 중력여과와 원심분리에 의한 고액분리에 의하여 유기성 고형 물질을 대부분 회수하여 자원화용으로 반출될 제품에 재투입하여 자원화용으로 반출될 제품의 품질 저하를 감소시킬 수 있었으며, 최종 침전조 상등수의 TS가 최저 $200mg/{\ell}$까지 수질 개선 효과를 얻을 수 있었다.

• 한국양식학회지
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• 제8권4호
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• pp.261-269
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• 1995

조피볼락 용 배합 사료를 개발하기 위한 기초 단계로서 우선 간단한 형태의 실험용 배합 사료(대조사료)를 제조하여, 그 효과를 확인해 보았다. 그리고 실험 사료의 효과가 인정되면, 이 사료를 대조사료로 하여 반복 실험을 통해 사료의 질을 점차 개선함과 동시에 원가를 낮추는 연구를 계속할 계획이다. 따라서 본 실험에서는 북양어분(백색 어분)을 주단백원으로 하고 소맥분과 비타민을 첨가한 배합 사료(대조 사료)를 제조한 후, 사육 실험을 통해 그 성능을 기존의 생사료($80\%$ 냉동전갱이 + $20\%$ 분말사료) 및 moist pellet $50\%$ 냉동전갱이 + $50\%$분말사료)과 비교하였으며, 어체 품질에 대한 관능 평가도 실시하였다. 평균 체중은 실험개시시 68.5g이었던 것이 11개월 후인 실험종료시에는 330g 내외에 달하였고, 세 실험구간에 유의차가 없었다(P>0.05).증중율 및 일간증중율도 대조 사료나 생사료구간에 차이없이 비슷한 수준을 유지하였다(P>0.05). 사료효율은 대조 사료가 생사료구나 moist pellet구보다 낮은 반면, 일간먹이섭취율은 대조 사료구가 타 실험구보다 유의하게 높게 나타났다(P<0.05). 그리고 일간단백질섭취율은 세 실험구 모두 비슷한 값을 보였다. 사육기간 중의 평균 체중은 세 실험구 모두 거의 직선적으로 증가되었고, 일간증중율 및 일간먹이섭취율은 세 실험 모두 200g 전후까지 계속 감소하다가 그 후에는 비교적 일정한 수준을 유지하였다. 단백질축적효율 및 지질축적효율도 실험구간에 유의적인 차이는 없었다(P>0.05). 전어체, 간 및 근육의 수분, 단백질 및 지질 함량은 실험구간에 모두 유의적인 차이가 없었다(P>0.05). 실험종료후 세 실험구를 대상으로 어육의 색, 냄새, 탄력 및 맛에 대해 관능 평가를 실시한 결과, 모든 항목에서 실험구별로 차이가 없었다.