• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 춘계학술대회 논문집
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• pp.1042-1045
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• 2003

In this paper, we present a new method for the monitoring of Electric Control Unit's(ECU) self-diagnostic and the sensor signals of vehicle through Web. In order to measure the ECU's self-diagnostic and sensor signals, the interfaced circuit is designed to communicate ECU and terminal according to the ISO, SAE regulation of communication protocol standard. Microprocessor 80C196KC is used for communicating ECU's self-diagnostic signals and the results are sent to the Embedded Linux System(ELS) through RF module. ELS is developed by SA1110, RF module, Embedded Linux. All commands related in ECU communication are executed through Web. The CGI program composed in web server is executed by user and will return sensor signals from ECU Software on Embedded Linux system is developed to monitor the ECU's sensor signals using the arm compiler tool chain in which RS232 port is programmed by half duplex method. The possibility for remote measurement of ECU sensor signal through Web is verified through the developed systems and algorithms.

• 한국추진공학회지
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• 제15권2호
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• pp.1-7
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• 2011

다양한 비행환경에서 장시간 체공하며 운용되는 UAV에서 추진시스템을 신뢰성 있게 운용하는 것은 매우 중요하다. 이런 UAV에 사용되는 터보프롭 엔진의 정확한 손상진단은 신뢰성과 이용률을 향상시킬 수 있다. 본 연구에서는 엔진 측정 파라미터들의 변화로부터 퍼지 이론을 적용하여 손상된 구성품을 식별한 후 훈련된 신경망 알고리즘을 식별된 손상 패턴에 적용하여 손상된 양을 정확히 진단할 수있는 방법을 제안하였다. 이렇게 제안된 진단 방법은 단일손상과 다중손상 모두 진단할 수 있다.

• 대한유전성대사질환학회지
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• 제15권2호
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• pp.65-71
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• 2015

Since the secretion of specific chiral isomers in urine (or plasma) is very crucial to diagnose some inborn metabolic disorders, clinical application of dual column achiral differential method has been performed for the absolute configuration of chiral compounds. Extracted from the acidified urine with diethyl ether, carboxylic functional group of organic acid (stereoisomers of the volatile) was derivatized with (-)-menthylation or (S)-(+)-3-methyl-2-butylation and followed by O-trifluoroacylation. Each of the enantiomers was accurately separated from the library matched double column (achiral) with a retention index (I). In various inborn metabolic disease urines, absolute chirality was identified correctly in the urine (10 patients) with inborn metabolic disease (including secretion of D, L- lactic acid, D, L-3-hydroxybutyric acid, and D, L-2-hydroxyglutaric acid). In this study, we identified and isolated the volatile diastereomer as a useful diagnostic marker, this successful application to urine specimens may be useful for diagnostic classification of inherited metabolic disorders.

• 조명전기설비학회논문지
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• 제17권2호
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• pp.66-72
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• 2003

본 연구에서는 국내 배전계통에 사용 중인 전력케이블에 대한 평균열화평가시스템을 개발하였다. 절연진단의 최소한의 목적은 전력공급의 중단을 초래할 수 있는 열화 즉, 사고가능성이 논은 전력케이블을 효율적으로 선별하고 경제적으로 관리하는데 있다. 따라서 이러한 최소한의 진단 목표를 달성하기 위한 가장 효율적인 진단원리로 열화시정수법을 채택하고 감쇠전압을 측정변수로 하여 진단설비를 개발하였다. 현장적용성 시험 및 파괴강도 시험 결과 열화상태 평가결과와 파괴강도의 상관관계를 확인하였으며 본 연구를 통해 개발된 진단장치는 사고를 초래할 수 있는 열화의 효율적이고 경제적인 선별 및 관리에 유용한 설비가 될 수 있음을 알았다.

• 대한한방내과학회지
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• 제36권2호
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• pp.85-92
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• 2015

Objectives: The liver fibroscan has been developed as a noninvasive and convenient method to assess hepatic fibrosis. This study aimed to review this device in terms of its technological concept and clinical application in traditional Korean medicine (TKM). Methods: The technological background, diagnostic evaluation, and clinical usefulness of fibroscan were reviewed using various literature and clinical studies. One clinical example-a patient with hepatofibrosis who had been treated with TKM-is presented. Results: The liver fibroscan was approved as a medical device for noninvasive measurement of the hepatic fibrosis level by the Korean Food and Drug Administration (KFDA). Numerous clinical studies have confirmed that its sensitivity and specificity allow it to serve as a substitute for liver biopsy, the present gold standard diagnostic method. The accuracy and reproducibility and lack of technical risks are strong points of the fibroscan; however, it has some limitations for application, especially in patients with obesity or severe hepatitis. One clinical example showed the applicability of the liver fibroscan in herbal medicine-based treatments. Conclusions: The requirement for diagnostic medical devices is an important issue in TKM; therefore, this study provides valuable information for practitioners of TKM.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2010년도 제35회 추계학술대회논문집
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• pp.499-505
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• 2010

다양한 비행환경에서 장시간 체공하며 운용되는 UAV에서 추진시스템을 신뢰성 있게 운용하는 것은 매우 중요하다. 이런 UAV에 사용되는 터보프롭 엔진의 정확한 손상진단은 신뢰성과 이용률을 향상시킬 수 있다. 본 연구에서는 엔진 측정 파라미터들의 변화로부터 퍼지 이론을 적용하여 손상된 구성품을 식별한 후 훈련된 신경망 알고리즘을 식별된 손상 패턴에 적용하여 손상된 양을 정확히 진단할 수 있는 방법을 제안하였다. 이렇게 제안된 진단 방법은 단일손상과 다중손상 모두 진단할 수 있다.

• 한국지능시스템학회논문지
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• 제16권6호
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• pp.742-746
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• 2006

학습자에 대한 학습능력의 평가는 진단평가, 형성평가와 총괄평가 단계로 구분할 수 있다. 이러한 단계적 평가는 학습자의 사전 학습 준비상태부터 학습 과정의 충실성 및 학습 결과까지를 종합적으로 판단할 수 있는 기준이 된다. 본 논문에서는 퍼지추론을 이용하여 각 단계의 평가를 모두 고려한 종합학습평가 방법을 제안하였다. 학습 수행능력에 대한 객관적인 평가를 위하여 각 평가 단계별로 가중치를 부여하였고, 진단, 형성 및 총괄 평가에 대한 퍼지추론에서 획득한 비퍼지화 값을 최종평가의 소속함수 구간으로 적용하였다. 그 결과 객관성을 보장할 수 있는 명확한 추론을 수행할 수 있었으며, 종합적인 학습평가 방법의 타당성을 보였다.

• 대한방사선기술학회지:방사선기술과학
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• 제42권1호
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• pp.9-17
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• 2019

Although digital mammography is a representative method for breast cancer detection. It has a limitation in detecting and classifying breast tumor due to superimposed structures. Machine learning, which is a part of artificial intelligence fields, is a method for analysing a large amount of data using complex algorithms, recognizing patterns and making prediction. In this study, we proposed a technique to improve the diagnostic accuracy of energy-selective mammography by training data using the machine learning algorithm and using dual-energy measurements. A dual-energy images obtained from a photon-counting detector were used for the input data of machine learning algorithms, and we analyzed the accuracy of predicted tumor thickness for verifying the machine learning algorithms. The results showed that the classification accuracy of tumor thickness was above 95% and was improved with an increase of imput data. Therefore, we expect that the diagnostic accuracy of energy-selective mammography can be improved by using machine learning.

• 대한방사선기술학회지:방사선기술과학
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• 제42권4호
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• pp.285-290
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• 2019

Magnetic resonance imaging is a technique specialized in soft tissue imaging with high contrast resolution without in vivo ionization and has been widely used in various clinical settings. In particular, the recent increase in social stress factors has been used in the diagnosis of pituitary adenoma, the incidence increases rapidly. Recently, due to the development of magnetic resonance imaging, it is possible to diagnose micro pituitary adenoma, but despite the use of contrast medium, there has been a difficulty in diagnosing the pituitary adenoma due to its small size and noise. In order to solve this problem, a proposed method of separating signal components image and noise components image from a measured image is applied, and the improvement of diagnostic efficiency is attempted by removing noise. As a result, it was confirmed that the image quality was improved as a whole by applying SNR for 30 subjects data. It is expected that this study will be useful as a pre-processing method for improving the image quality and developing diagnostic indicators of pituitary adenoma.

• 한국초지조사료학회지
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• 제42권3호
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• pp.201-207
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• 2022

Fescues, which are widely cultivated as grasses and forages around the world, are often naturally infected with the endophyte, Epichloë. This fungus, transmitted through seeds, imparts resistance to drying and herbivorous insects in its host without causing any external damage, thereby contributing to the adaptation of the host to the environment and maintaining a symbiosis. However, some endophytes, such as E. coenophialum synthesize ergovaline or lolitrem B, which accumulate in the plant and impart anti-mammalian properties. For example, when livestock consume excessive amounts of grass containing toxic endophytes, problems associated with neuromuscular abnormalities, such as convulsions, paralysis, high fever, decreased milk production, reproductive disorders, and even death, can occur. Therefore, pre-inoculation with non-toxic endogenous fungi or management with endophyte-free grass is important in preventing damage to livestock and producing high-quality forage. To date, the diagnosis of endophytes has been mainly performed by observation under a microscope following staining, or by performing an immune blot assay using a monoclonal antibody. Recently, the polymerase chain reaction (PCR)-based molecular diagnostic method is gaining importance in the fields of agriculture, livestock, and healthcare given the method's advantages. These include faster results, with greater accuracy and sensitivity than those obtained using conventional diagnostic methods. For the diagnosis of endophytes, the nested PCR method is the only available option developed; however, it is limited by the fact that the level of toxic alkaloid synthesis cannot be estimated. Therefore, in this study, we aimed to develop a triplex real-time PCR diagnostic method that can determine the presence or absence of endophyte infection using DNA extracted from seeds within 1 h, while simultaneously detecting easD and LtmC genes, which are related to toxic alkaloid synthesis. This new method was then also applied to real field samples.