• 제목/요약/키워드: Level Diagnosis

검색결과 2,125건 처리시간 0.03초

순차 회로를 위한 효율적인 혼합 고장 진단 알고리듬 (An Efficient Hybrid Diagnosis Algorithm for Sequential Circuits)

  • 김지혜;이주환;강성호
    • 대한전자공학회논문지SD
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    • 제41권5호
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    • pp.51-60
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    • 2004
  • 반도체 기술의 발달로 회로의 집적도와 복잡도가 증가함에 따라 칩의 생산 과정에서 고장이 발생하는 빈도가 높아지게 되었다. 칩의 수율을 향상시키고, 생산 단가를 절감시키기 위해서 고장의 원인을 찾아내고 분석하는 과정은 매우 중요하다. 그러나 고장의 원인을 분석하는 과정 중 고장의 위치를 찾아내는 데는 많은 시간이 소요된다. 게이트 수준에서의 고장 위치 진단은 물리적 수준에서의 고장 범위를 한정해 줌으로써 고장 위치를 찾는 데 소요되는 시간을 줄 일 수 있다는 데 의미를 갖는다. 본 논문에서는 새로운 방식의 고장 딕션너리 방식과 추가적인 고장 시뮬레이션 방식을 혼합하여, 메모리의 소비를 최소화하면서도 시뮬레이션 수행 시간을 단축시킴으로써 효과적으로 고장 진단을 수행할 수 있는 고장 진단 알고리듬을 제안한다.

혈중 Progesterone 수준 측정에 의한 제주재래마의 조기 임신진단 응용에 관한 연구 (Studies on the Progesterone Level for Early Pregnency Diagnosis of Cheju Native Mares)

  • 장덕지;김중계
    • 한국수정란이식학회지
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    • 제11권1호
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    • pp.85-91
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    • 1996
  • Plasma progesterone concentrations were measured by using radjoimmunoassay for early diagnosis of pregnancy in Cheju-native mares. A total of 226 pony mares were examined for pregnancy during breeding and non breeding seasons. Plasma progesterone levels 20~23 days after the onset of oestrus were 4.67+O.67ng /rnl and O.55+O.O4ng /ml for mares becornrning pregnant and not pregnant after the estrus, respectively, and there was a significant differences (p<0.01) between the two groups. Progesterone concentration of pregnant mares gradually increased in 30 days andreached a peak (10.3ng /ml) during the third month of gestation. However, the concentration decresed to the base line (1.llng /rnl) at 7 months and gradually increased again as foaling approached (2.lng /ml). Early diagnosis for pregnancy of Cheju mares by progesterone level at 20~23 days after onset of oestrus was 88% accurate when 4.6ng /ml was used to classify mares as pregnancy and below 1.3ng /rnl was used to determine nonpregnant mares. However, the accuracy of the diagnosis was improved to 96% when a progesterone level of above 2ng /mi was used to classify mares for pregnancy. Diagnosis for pregnancy was 69.6% accurate when mares were classified as pregnancy by horse owners during breeding season. The progesterone levels of pregnant and non-pregnant mares during non-breeding season varied greatly between individual animals, Plasma progesterone levels of pregnant animals ranged from 3.5ng /mi to above 6.2ng /mi whereas similar values were observed in non-pregnant animals. Radioirnrnunoassay technicjues can be applied for the early pregnant diagnosis of Cheju native mares when progesterone levels are measured during the early gestation period (18~23 days after onset of oestrus). However, progesterone concentration of mares in non-breeding season is conisidered unsuitable as a indicator of pregnant diagnosis.

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Proposal of Public Data Quality Management Level Evaluation Domain Rule Mapping Model

  • Jeong, Ha-Na;Kim, Jae-Woong;Chung, Young-Suk
    • 한국컴퓨터정보학회논문지
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    • 제27권12호
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    • pp.189-195
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    • 2022
  • 정부는 공공데이터의 민간 개방, 활용을 장려함으로써 신산업, 일자리 창출 등 창조경제 활성화에 기여하는 것을 주요 국정과제로 삼고 있다. 그리고 고품질 공공데이터 보유를 위해 공공데이터 품질관리 수준평가 진행 등의 활동을 통해 공공데이터 품질 향상을 도모하고 있다. 그러나 품질진단 도구 사용자의 데이터 전문성, 이해도에 따라 공공데이터 품질관리 수준평가 결과에 격차가 발생하기 때문에 진단 결과의 정확성을 보장하기 어렵다. 본 논문은 데이터 이해도가 낮은 사용자의 진단 결과에 대한 정확성을 보장하기 위해 데이터 품질진단 기준 중 유효성 진단에 적용 가능한 공공데이터 품질관리 수준평가 도메인규칙 매핑 모델을 제안하였다. 또한 모델에 실제 데이터를 적용한 결과 공공데이터 품질진단의 안정성과 정확성을 높이는 것을 확인하였다.

그린데이터센터의 수준진단 프레임워크 개발 (Developing the framework of level diagnosis for green data center)

  • 나종회;이상학
    • 디지털융복합연구
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    • 제9권2호
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    • pp.141-152
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    • 2011
  • 오늘날 데이터센터는 비즈니스에서 핵심영역으로 인식되고 있으며, 이들에 대한 많은 서비스 요구는 보다 많은 에너지 소비를 낳고 있다. 따라서 데이터센터의 높은 수준의 에너지 효율성은 구축, 운영, 폐기 등 그들의 생명주기에 있어서 핵심이슈로 등장하였다. 본 연구에서는 이러한 생명기상에서 데이터센터의 그린화 수준을 진단할 수 있도록 성숙도모델에 기초한 그린데이터센터 수준진단모델을 제시한다. 본 연구에서 제시한 수준진단 모델은 엑션추어 GMM, DCEEF 등 기존 에너지평가모델 및 그린데이터센터 성숙도평가 모델을 참조하였으며, 최종적으로 건축, 공조, 전기, IT, 조직 등 데이터센터의 5개 핵심영역에 대한 진단지표를 제안하였다.

치과치료에 따른 외래환자의 불안도 수준에 관한 역학적 연구 (An Epidemiologic Study on the Anxiety Level of Dental Ouppatients in Response to Dental Procedure)

  • Hyun-Koo Kang;Myung-Yun Ko
    • Journal of Oral Medicine and Pain
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    • 제17권1호
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    • pp.19-29
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    • 1992
  • Fear at the dental treatment is a problem not only for patient but for dentist as well, because the anxious patient often require more item, even for simple procedures. The anxiety level in response to dental procedures was evaluated through a simple questionnaire, Corahs, DAS. 783 female and 790 male outpatients were studied at the Dept. of Oral Diagnosis, PNUH from 1988 to 1989. The obtained results were as follows : 1. The anxiety level in female was significantly higher than that in male, and patients in 10s and 30s showed more anxious than those in other groups. 2. Housewives and pupils revealed higher level of anxiety. 3. The anxiety level in 524 (ICD) was the highest in all diseases, inspite of no difference among various diseases. 4. There was significantly higher level of anxiety in the patient of Orthodontics and Pedodontics than those of other departments. 5. There was no difference in anxiety level between acute and chronic group. 6. Dental phobes were more in female than in male.

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Establishment for Improving Productivity of Cattle by Fecal Steroid and Milk Urea Nitrogen analysis - II. Application of Early Pregnancy Diagnosis and Monitoring Postpartum Ovarian Activity

  • Kang, Chung-Boo;Ha, Woo-Song;Kwon, Ji-In;Yu, Young-Sang;Kim, Chul-Ho;Kwak, Soo-Dong
    • 대한의생명과학회지
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    • 제9권1호
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    • pp.29-36
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    • 2003
  • Progesterone levels in the blood plasma or skim milk of cows are considered to be very useful indicator fur the detection of estrus cycle and early pregnancy diagnosis. During 13 to 14 days after estrus the level of progesterone in plasma or skim milk were not different between the inseminated arid non-inseminated cows. In the pregnant cows the peak level of progesterone reached on 14th day after artificial insemination (AI), but in the absence of conceptus the level declines after the 14th day slowly, and then very rapidly towards the basal level after the 17th day. This low level persists about 4 days, including those of estrus and ovulation a highly characteristic pattern which differs so markedly from that in the pregnant cows. Progesterone levels in blood plasma or skim milk can provided a reliable diagnosis of early pregnancy and monitoring ovarian activity in cows. The mean $\pm$ standard deviation of milk urea nitrogen(MUN) and protein concentration in the cows at 9 herds were 17.7$\pm$2.35 mg/dL and 3.2$\pm$0.17%, respectively. The days of nonpregnant after parturition was shorter in the cows in which the lower level of MUN than higher level of MUN concentration.

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수준진단을 통한 지방행정혁신 고도화 방안 - C 도 혁신진단 조사를 바탕으로- (Altitude Plans of Local Administration Innovation Through Level Diagnosis)

  • 이승희;노규성
    • 디지털융복합연구
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    • 제3권2호
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    • pp.159-186
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    • 2005
  • Local decentralization and administration innovation is the most important problem the government confronted with at the present time. So local government must be follow them. Therefore, local government need to prepare whole process on this. From now on, local government must be develop own innovation model and strategy then, forward with innovation plan classified by step. This study reviewed the significance and necessary of local administration innovation and examined the necessary of level diagnosis of local administration innovation. And We diagnosed administration innovation of C province, then analyzed the result and proposed Altitude plans of administration innovation.

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전력용 변압기 온라인 유중가스 진단기준치 및 알고리즘에 관한 연구 (Study on the Criterion and Algorithm for On-line Dissolved Gas of a Power Transformer)

  • 권동진;곽주식;곽희로;김재철;진상범
    • 대한전기학회논문지:전기물성ㆍ응용부문C
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    • 제54권5호
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    • pp.206-212
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    • 2005
  • In this paper, criterion and algorithm for on-line dissolved gas of a Power transformer are studied. For the initial diagnosis of a power transformer, the on-line dissolved gas analysis is one of the most important and acceptable item to preventively diagnose a power transformer. But the criterion and algorithm of this item are not established yet in korea. In this paper, criterion and alarm level of the on-line dissolved gas analysis are based on the analysis of on-line data of operating transformers, Korea industrial standard and operation manual for a power transformer as well as accumulated data of the preventive diagnosis systems which have been operated at nine substations of Korea Electric Power Co.(KEPCO) since 1997, Therefore, the criterion and alarm level proposed in this paper are to be well suitable and are adaptable for the domestic operational environments and conditions of the power transformer. Considering that the conventional diagnosis system is capable only of accumulating and monitoring data of the power transformer operation, the criteria and the algorithms make it possible to accomplish an ultimate goal of the preventive diagnosis system. It is expected, therefore, that they will have a beneficial effect on broad applications of the preventive diagnosis system and the achievement of manless substation system in the future.

산업용 터보기기 결함 진단을 위한 복합적 데이터베이스 구조의 퍼지 전문가 시스템 (A Fuzzy Expert System Based on Hybrid Database for Fault Diagnosis of Industrial Turbomachinery)

  • 백두진;김승종;김창호;장건희;이용복
    • 한국소음진동공학회논문집
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    • 제13권9호
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    • pp.703-712
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    • 2003
  • This paper suggests a fuzzy expert system for fault diagnosis of rotating machinery, based on modulated databases. In the proposed system, alarm and trip levels are set based on ISO, considering operating condition, machinery type and maintenance history. Input signals for diagnosis, such as sub-and super-harmonic components of vibration and mean value, are normalized from 0 to 1 under the threshold level and otherwise equal to one so that chronic faults slightly below the threshold level can be monitored. The database for diagnosis consists of two modules: the well-known Sohre's chart module and if-then type rules. The Sohre's chart is utilized for the most common problems of high-speed turbomachinery, while the rule-based module, which was collected from many papers and reports, is for diagnosing peculiar faults according to the type of machinery. To infer the results from two modules, a fuzzy operation of Yager sum was adopted. Using a simulator constructed in laboratory, experimental verification was performed for the cases of unbalance and resonance which were intended. The experimental results show that the proposed fuzzy expert system has feasibility in practical diagnosis of rotating machinery.

모듈 구조 데이터베이스 기반의 터보기기 결함 진단용 하이브리드 퍼지 전문가 시스템 (A Hybrid Fuzzy Expert System Based on Module-type Database for Fault Diagnosis of Turbomachinery)

  • 백두진;김승종;김창호;곽현덕;장건희;이용복
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 춘계학술대회논문집
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    • pp.303-312
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    • 2003
  • This paper suggests a fuzzy expert system for fault diagnosis of rotating machinery, based on modulated databases. In the proposed system, alarm and trip levels are set based on ISO, considering operating condition, machinery type and maintenance history. Input signals for diagnosis, such as sub- and super-harmonic components of vibration and mean value, are normalized from 0 to 1 under the threshold level and otherwise equal to one so that chronic faults slightly below the threshold level can be monitored. The database for diagnosis consists of two modules: the well-known Sohre's chart module and if-then type rules. The Sohre's chart is utilized for the most common problems of high-speed turbomachinery, while the rule-based module, which was collected from many papers and reports, is for diagnosing peculiar faults according to the type of machinery. To infer the results from two modules, a fuzzy operation of Yager sum was adopted. Using a simulator constructed in laboratory, experimental verification was performed for the cases of resonance and housing looseness which were intended. The experimental results show that the proposed fuzzy expert system has feasibility in practical diagnosis of rotating machinery.

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