• Parasites, Hosts and Diseases
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• 제48권3호
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• pp.259-261
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• 2010

Human Gnathostoma hispidum infection is extremely rare in the world literature and has never been reported in the Republic of Korea. A 74-year-old Korean man who returned from China complained of an erythematous papule on his back and admitted to our hospital. Surgical extraction of the lesion and histopathological examination revealed sections of a nematode larva in the deep dermis. The sectioned larva had 1 nucleus in each intestinal cell and was identified as G. hispidum. The patient recalled having eaten freshwater fish when he lived in China. We designated our patient as an imported G. hispidum case from China.

• 한국자동차공학회논문집
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• 제19권3호
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• pp.90-98
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• 2011

Noises from diesel engine are the major issues for noise pollution as well as affect customers' purchasing needs to vehicles powered by diesel engine. This study investigates to screen-out main factors that contribute to noises from diesel engine using VGT 2000cc engine developed recently. Changes of fuel temperature, intake temperature and the presence of three way catalyst don't affect the 'Engine Radiation Noise' and the solely three way catalyst influence on the 'Tail Pipe Noise'. Especially, there are no effects of the presence of three way catalyst on torque, which is main subject that should be considered in secondary study.

• KSBB Journal
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• 제22권4호
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• pp.265-269
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• 2007

다시마 fucoidan의 식이섬유로서의 생리기능성 탐색연구의 일환으로, 다시마의 건조 분말로부터 fucoidan을 열수 추출하여 분리하고 부분정제하였으며, 이의 in-vitro 포도당 및 담즙산 흡수 지연 효과를 조사하였다. 다시마 fucoidan은 투석막을 이용한 2시간 동안의 in-vitro glucose 및 bile acid 흡수 지연 실험에서 각각 25.36$\sim$22.68% 및 27.03$\sim$33.50%의 흡수지연효과를 나타내었다. 이들 효과는 타 식이섬유와 비교하여 비교적 우수하거나 매우 우수한 효과로, 어느 정도 당뇨 및 동맥경화 억제에의 효과를 나타낼 것이 기대되어 추가 검토의 필요성이 높았다.

• Journal of Electrical Engineering and Technology
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• 제13권2호
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• pp.800-811
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• 2018

This paper presents a regenerative braking control scheme for Switched Reluctance Machine (SRM) drive in Electric Vehicles (EVs). The main purpose is to maximize the recovered energy during battery charging by taking into account the nonlinear physical characteristics of the Switched Reluctance Machine. The proposed regenerative braking method employs the back-EMF in the generation process as a complicated position-dependent voltage source. The proposed maximum power recovery (MPR) operation of the regenerative braking is first based on the maximization of the extracted power from the machine and then the maximization of the power transferred to the battery. The maximum power extraction (MPE) from SRM is based on maximizing the energy conversion ratio by the calculation of the optimum PWM switching duty cycle, turn-on, and turn-off angles. By using the impedance matching theorem that allows the maximum power transfer (MPT) of the MPE, the proposed MPR is achieved. The parametric averaged value modeling of the machine phase currents in the chopping control mode is used for MPR realization. By following this model, a nonlinear equivalent input resistance is derived for the battery internal resistance matching. The effectiveness of the proposed regenerative braking method is demonstrated through simulation results and experimental implementation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 C
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• pp.1880-1884
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• 2000

The discrete wavelet transform is utilized as preprocessing of Neural Network(NN) to identify aging state of internal partial discharge in transformer. The discrete traveler transform is used to produce wavelet coefficients which are used for Classification. The statistical parameters (maximum of wavelet coefficients, average value, dispersion, skewness, kurtosis) using the wavelet coefficients are input into an back-propagation neural network. The neurons whose weights have obtained through Result of Cross-Validation. The Neural Network learning stops either when the error rate achieves an appropriate minimum or when the learning time overcomes a constant value. The networks, after training, can decide if the test signal is Early Aging State or Last Aging State or normal state.

• 전산구조공학
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• 제7권3호
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• pp.143-152
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• 1994

슈퍼요소를 이용한 구조해석은 항공기나 선박등 대형구조물의 해석에서 장점을 가지며 하드웨어의 제한된 조건속에서 효과적인 결과를 준다. 본 논문에서는 고정된 타이벡(ite back) 상태에서 세게 최대의 5000톤, 회전 상태에서 3000톤을 들어 올릴수 있는 크레인선의 구조 안전성 검토를 위하여 슈퍼요소로 분할된 부분 구조물 해석을 다루었으며, 효과적인 부분구조화(substructuring)과정과 독특한 하중추출방법 및 유한요소 모델링 기법을 제시하고 있다. 또한 해석결과에 근거한 실질적인 구조물의 총괄적 국부보강방법을 보여주고 있다. 대형 크레인선의 구조해석적용 연구를 통하여 부분구조기법의 효율성을 확립하였으며 이러한 해석기법을 통하여 새로운 형태의 유사한 구조물에 대한 해석지침을 제시하고 있다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.2036-2038
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• 2001

In this paper, we propose the neural network based emotion recognition method for intelligently recognizing the human's emotion using vision system. In the proposed method, human's emotion is divided into four emotion (surprise, anger, happiness, sadness). Also, we use R,G,B(red, green, blue) color image data and the gray image data to get the highly trust rate of feature point extraction. For this, we propose an algorithm to extract four feature points (eyebrow, eye, nose, mouth) from the face image acquired by the color CCD camera and find some feature vectors from those. And then we apply back-prapagation algorithm to the secondary feature vector(position and distance among the feature points). Finally, we show the practical application possibility of the proposed method.

• 한국항행학회논문지
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• 제8권2호
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• pp.169-175
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• 2004

본 논문에서는 무선 멀티미디어 통신 환경에서 정지영상 전송에 삽입되는 디지털 워터마킹에 관하여 분석하였다. 또한, 기존의 이미지를 사용한 방법보다 원 영상에 미치는 영향이 적고 외부공격으로부터 강인한 워터마크 복원 능력을 보이는 개선된 워터마크 기법을 제안 하였다. 성능분석으로써 무선 멀티미디어 서비스를 위해 OFDM/QPSK 영상전송 시스템을 이용하여 무선채널 환경에서의 정지영상 이미지와 워터마크로 사용된 정보에 미치는 영향을 분석하였다. 분석 결과, 본 논문에서 제안한 VI 워터마크를 삽입함으로써 원영상에 미치는 영향이 매우작고, 높은 복원 성능을 보여줌을 알 수 있었다. 또한, 동일한 전송에러 조건의 무선 채널환경에서 이미지 워터마크에 비해 우수한 저작권 정보 추출 성능을 보였다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2006년도 추계학술대회 학술발표 논문집 제16권 제2호
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• pp.203-207
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• 2006

Nowadays, Cars are continuing to grow at an alarming rate but they also cause many problems such as traffic accident, pollutions and so on. One of the most effective methods that prevent traffic accidents is the use of traffic monitoring systems, which are already widely used in many countries. The monitoring system is beginning to be used in domestic recently. An intelligent monitoring system generates photo images of cars as well as identifies cars by recognizing their plates. That is, the system automatically recognizes characters of vehicle plates. An automatic vehicle plate recognition consists of two main module: a vehicle plate locating module and a vehicle plate number identification module. We study for a vehicle plate number identification module in this paper. We use image preprocessing, feature extraction, multi-layer neural networks for recognizing characters of vehicle plates and we present a feature-comparison method for improving the performance of vehicle plate number identification module. In the experiment on identifying vehicle plate number, 300 images taken from various scenes were used. Of which, 8 images have been failed to identify vehicle plate number and the overall rate of success for our vehicle plate recognition algorithm is 98%.

• 한국초전도ㆍ저온공학회논문지
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• 제23권3호
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• pp.37-40
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• 2021

Nickel (Ni) is a kind of the rare earth resources. Since Ni-containing waste is drained after several plating operations in the factories, the effective recycling technique has been expected to be introduced. An actual magnetic separation technique using HTS bulk magnet generating the strong magnetic field has succeeded in collecting the paramagnetic slurry containing Ni-sulphate coarse crystals which were fabricated from the Ni-plating waste. The Ni compound in the collected slurry was identified as NiSO₄/6H₂O, showing slight differences in the particle size and magnetic susceptibility between the samples attracted and not-attract to the magnetic pole. This preferential extraction suggests us a novel recycling method of Ni resource because the compound is capable of recycling back to the plating processes as a raw material.