• 에너지공학
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• 제6권2호
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• pp.188-197
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• 1997

1992년을 기준으로 2032년을 목표년도로 한 철강기술의 비용경쟁력과 환경영향을 평가하기 위해 MARKAL(MARKet ALlocation)모형을 적용하였다. 철강부문의 에너지, 재료, 그리고 기술에 대한 분석을 통해 기준 철강시스템을 설계하였으며, 특히 국내 철강산업에 대한 분석에 초점을 두었다. 기술평가는 크게 비용최소화와 환경제약 두 측면을 고려하여 수행하였으며, 환경제약을 위해서는 3개의 $CO_2$배출량 규제, 2개의 SOx 비용화 제약방법을 사용하였다. 주어진 비용과 환경 제약하에서 각 철강기술의 경쟁력을 평가하였으며, 이를 통하여 비용 및 환경영향을 고려한 철강기술 평가에 MARKAL모형의 적용 가능성을 확인하였다.

• 한국측량학회지
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• 제36권1호
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• pp.1-8
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• 2018

To compensate for the shortcomings of spirit leveling, research on the determination of GNSS (Global Navigation Satellite System)-derived orthometric height has been actively carried out. However, most analyses were primarily performed inland. In this study, the influences of the arrangement of control points, observation duration, and geoid model on the accuracy of the GNSS-derived orthometric height have been analyzed to suggest the proper method to apply the determination of GNSS-derived orthometric height to the leveling loop disconnected area. As a result, it was found that two known points located near the unknown points need to be fixed in the leveling loop disconnected area. Further, 3 cm level of accuracy can be achieved if the GNSS survey is performed over two days, for four hours per day. In terms of the geoid model, the latest national geoid model should be applied rather than the EGM08 (Earth Gravitational Model 2008) to minimize regional bias and increase accuracy. Future research is necessary to apply the determination of the GNSS-derived orthometric height technique as a method to connect with the islands because the vertical reference system used inland and that used for the islands in Korea are still different.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1287-1292
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• 2005

This paper presents an effective pattern classification model by designing an artificial neural network based pattern classifiers for face recognition. First, a RGB image inputted from a frame grabber is converted into a HSV image which is similar to the human beings' vision system. Then, the coarse facial region is extracted using the hue(H) and saturation(S) components except intensity(V) component which is sensitive to the environmental illumination. Next, the fine facial region extraction process is performed by matching with the edge and gray based templates. To make a light-invariant and qualified facial image, histogram equalization and intensity compensation processing using illumination plane are performed. The finally extracted and enhanced facial images are used for training the pattern classification models. The proposed H-ART2 model which has the hierarchical ART2 layers and F-LVQ model which is optimized by fuzzy membership make it possible to classify facial patterns by optimizing relations of clusters and searching clustered reference patterns effectively. Experimental results show that the proposed face recognition system is as good as the SVM model which is famous for face recognition field in recognition rate and even better in classification speed. Moreover high recognition rate could be acquired by combining the proposed neural classification models.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2006년도 추계공동학술대회
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• pp.499-507
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• 2006

The tower cranes are widely used in very useful construction machine the sites of constructing high-structure and have a structural sensitiveness. Therefore, the accidents have often happened due to the deficiency of laborer's understanding md lack of safety of structure. Till now, as we have research and studied above, we can properly protect accidents by construction equipments particularly crane as well as most disasters which occur frequently in construction site. The goal of this study is the safety inspection model of the tower crane a construction site, which preventible the collapse accident of tower crane which is constructed by using the correcting frame. In order to accomplish the goal of this study, the field survey, the reference investigation and the structure analysis were performed for the collapse accident of tower nine using the correcting data. This study will be proposed a build-up solutions about operating and release of safety constructions and researched about software safety estimation. Also, preventing safety problems of Tower Crane Construction site as applying safety estimation program and laws and regulations. As a result, The real time control of tower crane inspection system is implemented by to illustrate the application of the adopted optimal design model.

• 대한안전경영과학회지
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• 제9권1호
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• pp.37-49
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• 2007

The tower cranes are widely used in very useful construction machine the sites of constructing high-structure and have a structural sensitiveness. Therefore, the accidents have often happened due to the deficiency of laborer's understanding and lack of safety of structure. Till now, as we have research and studied above, we can properly protect accidents by construction equipments particularly crane as well as most disasters which occur frequently in construction site. The goal of this study is the safety inspection model of the tower crane a construction site, which preventible the collapse accident of tower crane which is constructed by using the correcting frame. In order to accomplish the goal of this study, the field survey, the reference investigation and the structure analysis were performed for the collapse accident of tower crane using the correcting data. This study will be proposed a build-up solutions about operating and release of safety constructions and researched about software safety estimation. Also, preventing safety problems of Tower Crane Construction site as applying safety estimation program and laws and regulations. As a result, The real time control of tower crane inspection system is implemented by to illustrate the application of the adopted optimal design model.

• 전자공학회논문지
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• 제50권5호
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• pp.253-261
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• 2013

본 논문에서는 복합 비동기 순차 머신을 제어하는 방법을 다룬다. 논문에서 고려하는 비동기 머신은 입력/상태 머신 두 개가 직렬 결합된 것으로서 선행 머신의 출력 값이 후행 머신의 입력으로 전달된다. 제어 목적은 폐루프 시스템의 입력과 출력의 정상 상태 특성을 원하는 모델의 동작과 일치시키는 모델 정합 문제를 구현하는 교정 제어기를 꾸미는 일이다. 교정 제어기는 후행 머신의 상태 피드백 정보만 전달 받기 때문에 선행 머신의 상태를 정확하게 알 수 없는 불확실성이 존재한다. 본 논문에서는 그러한 불확실성 하에서 모델 정합 교정 제어기가 존재할 조건을 구하고 설계 알고리듬을 제안한다. 또한 사례 연구를 통해서 제안된 제어기의 설계 과정을 예시한다.

• International Journal of Fluid Machinery and Systems
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• 제3권4호
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• pp.352-359
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• 2010

In recent years, the market has shown increasing interest in pump-turbines. The prompt availability of pumped storage plants and the benefits to the power system achieved by peak lopping, providing reserve capacity, and rapid response in frequency control are providing a growing advantage. In this context, there is a need to develop pumpturbines that can reliably withstand dynamic operation modes, fast changes of discharge rate by adjusting the variable diffuser vanes, as well as fast changes from pumping to turbine operation. In the first part of the present study, various flow patterns linked to operation of a pump-turbine system are discussed. In this context, pump and turbine modes are presented separately and different load cases are shown in each operating mode. In order to create modern, competitive pump-turbine designs, this study further explains what design challenges should be considered in defining the geometry of a pump-turbine impeller. The second part of the paper describes an innovative, staggered approach to impeller development, applied to a low head pump-turbine project. The first level of the process consists of optimization strategies based on evolutionary algorithms together with 3D in-viscid flow analysis. In the next stage, the hydraulic behavior of both pump mode and turbine mode is evaluated by solving the full 3D Navier-Stokes equations in combination with a robust turbulence model. Finally, the progress in hydraulic design is demonstrated by model test results that show a significant improvement in hydraulic performance compared to an existing reference design.

• 환경위생공학
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• 제10권3호
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• pp.45-55
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• 1995

This study was carried out to elucidate the toxic mechanism of cadmium in peripheral nerve. An animal model of cadmium neuropathy was induced by feeding diet containing cadmium to Sprague- Dawley rat (or two weeks. Four weeks aged Sprague- Dawley rats were divided into four groups : normal control group, 10ppm- cadmium treated group, 100ppm- cadmium treated group, 1000ppm- cadmium treated group, reference drug- treated group. All rats were sacrificed at the end of two weeks for assessing the development of cadmium neuropathy, These results obtained were summarized as follows : 1. Cadmium reduced peripheral flow of both acetylcholinesterase and cholinesterase in rat sciatic nerve. 2. The toxic mechanism of cadmium might be the result of an reduction of myo-inositol concentration in peripheral nervous system 3. Reduction in myo-inositol content of peripheral nerve resulted from the inhibition of sodium- Potassium ATPase activity, which is responsible for myo-inositol transport, by cadmium 4. Oral administration of myo-inositol improved the flow of both acetylcholinesterase and cholinesterasenerve in cadmium intoxicated rat. These results suggest that mild cadmium neuropathy might be diagnosed by checking nervous myo-inositol content and oral administraion of myo-inositol might prevent the development of severe cadmium neuropathy with special reference to detective axonal transport.

• 전기학회논문지
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• 제60권10호
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• pp.1915-1923
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• 2011

For automated guidance control of a magnetically guided-all wheel steered vehicle, it is necessary to have information about position and orientation of the vehicle, and deviations from the reference path in real time. The magnet reference system considered here consists of three magnetic sensors mounted on the vehicle and magnetic markers, which are non-equidistantly buried in the road. This paper presents an observer to estimate such position and orientation at the center of gravity of the vehicle. This algorithm is based on the simple kinematic model of vehicle and uses the data of wheel velocity, steering angle, and the discrete measurements of marker positions. Since this algorithm requires the exact values of initial states, we have also proposed an algorithm of determining the initial position and orientation from the 16 successive magnet pole data, which are given by the magnetic measurement system(MMS). The proposed algorithm is capable of continuing to estimate for the case that the magnetic sensor fail to measure up to three successive magnets. It is shown through experimental data that the proposed algorithm works well within permissible error range.

• 오토저널
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• 제14권5호
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• pp.95-106
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• 1992

Active control of acoustic noise is an application area of adaptive digital signal processing with increasingly interest along the last year. This work studies the implementation of the multichannel LMS filter and the application of this algorithm for the reduction of the noise inside a vechicle cabin using a number of 'secondary sources' drived by adaptive filtering of a reference noise source. Firstly, we propose the use of an adaptive method for the time-varient optimal convergence factor. Secondly, we propose the use of adaptive delayed inverse model to estimate the elastic-acoustic transfer function presented in vechicle cabin. The original, primary source is often periodic, with a known fundamental frequency. A suitably filtered reference signal can thus be used to drive the secondary sources. An algorithm is presented for adapting the coefficients of an FIR filter feeding such a secondary source in such a way as to minimize the output of a suitably placed microphone. In this algorithm, the coefficients of adaptive filter driving an array of secondary sources can be adapted to minimize the sum of the squares of the outputs of a number of error microphones. The multichannel LMS algorithm displays that such an algorithm is considered suitable to used for the global suppression of noise in vehicle cabin.