• Title/Summary/Keyword: 간이 진단

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Performance Improvement of Bearing Fault Diagnosis Using a Real-Time Training Method (실시간 학습 방법을 이용한 베어링 고장진단 성능 개선)

  • Cho, Yoon-Jeong;Kim, Jae-Young;Kim, Jong-Myon
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.4
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    • pp.551-559
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    • 2017
  • In this paper, a real-time training method to improve the performance of bearing fault diagnosis. The traditional bearing fault diagnosis cannot classify a condition which is not trained by the classifier. The proposed 4-step method trains and recognizes new condition in real-time, thereby it can classify the condition accurately. In the first step, we calculate the maximum distance value for each class by calculating a Euclidean distance between a feature vector of each class and a centroid of the corresponding class in the training information. In the second step, we calculate a Euclidean distance between a feature vector of new acquired data and a centroid of each class, and then compare with the allowed maximum distance of each class. In the third step, if the distance between a feature vector of new acquired data and a centroid of each class is larger than the allowed maximum distance of each class, we define that it is data of new condition and increase count of new condition. In the last step, if the count of new condition is over 10, newly acquired 10 data are assigned as a new class and then conduct re-training the classifier. To verify the performance of the proposed method, bearing fault data from a rotating machine was utilized.

대학생 취업 관련 기관 간 연계체제 구축을 위한 죄담회

  • Lee, Gyeong-Hui
    • 대학교육
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    • s.145
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    • pp.78-84
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    • 2007
  • 한국대학교육협의회(회장 권영건 안동대 총장, 이하 대교협)는 한국대학신문의 후원으로 2006년 12월 5일 대교협 회의실에서 '대학생 취업관련 기관 간 연계체제 구축'을 위한 특별좌담회를 개최하였다. 이번 좌담회에서는 취업기관 간의 연계체제 구축 실태를 진단하고, 향후 구축될 연계체제 내용, 방법을 논의하고, 연계 구축을 위한 대학과 정부, 기업 간의 상호 협력방안을 모색하였다. 대교협 김영식 사무총장은 취업관련 기관들에게 "오늘 좌담회를 계기로 대학생 취업난 해소에 대교협의 협조가 필요한 사안이 있으면 언제든지 요청하여 줄 것을 당부한다"고 말했다.

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Design of Knowledge Model of Nursing Diagnosis based on Ontology (온톨로지에 기반한 간호진단 지식모델의 설계)

  • Lee, In-Keun;Kim, Hwa-Sun;Lee, Sung-Hee
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.4
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    • pp.468-475
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    • 2012
  • Nurses have performed their nursing practice according to the standard guidelines such as NANDA, NIC, and NOC, and recorded the information on nursing process into EMR system. In particular, NANDA, nursing diagnosis taxonomy, has difficulty expressing nursing diagnosis in detail because it represents abstract concepts of nursing diagnosis. So, the hospitals in KOREA have developed and used the list of nursing diagnosis on their own without referring the international standard terminologies, and it caused the delay of computerization of nursing records. Therefore, we proposed a ontology development methodology on nursing diagnosis based on NANDA and SNOMED-CT. The developed ontology, systematically developed with the frequently used nursing diagnosis terminologies in each hospital, based on the proposed methodology enables knowledge expansion and interoperable exchange of nursing records between EMR systems. We developed an ontology using the 112 nursing diagnosis terms defined by extracting and refining information on nursing diagnosis recorded in Kyungpook National University Hospital. We also confirmed the content validity and the usefulness of the developed ontology through expert assessment and experiment.

Analysis of Salmonella Species from Eggs Using Immunoliposomes and Comparison with a Commercial Test Kit (면역리포좀을 이용한 계란에서의 살모넬라 분석과 시판 간이키트와의 비교)

  • Shin, Weon-Sun;Kim, Yoon-Sook;Lee, Jun-Soo;Kim, Myung-Hee
    • Food Science of Animal Resources
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    • v.29 no.4
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    • pp.533-538
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    • 2009
  • To suggest an improved diagnostic method for Salmonella spp., analyses were conducted with immunoliposomes and compared with the results from a commercial test kit. One sample out of 36 samples of eggshell was Salmonella-positive via immunoliposomes. In the case of the use of the commercial test kit, six samples out of 36 samples were Salmonellapositive. These Salmonella-positive samples were subjected to biochemical identification tests that confirmed that they were Salmonella-negative. As for the egg content samples, they were Salmonella-negative in both analyses with immunoliposomes and the commercial test kit. The Salmonella analysis with immunoliposomes reduced detection time, by 24 h compared to the commercial test kit. Bacteria, including Acinetobacter baumanni, Chryseomonas luteola, Enterobacter cloacae, Escherichia coli, Escherichia hermannii, Klebsiella pneumonia, Pantoea spp., and Pasteurella pneumotropica, were isolated from the eggshells. Other than Acinetobacter baumanni and Pasteurella pneumotropica most of the isolates were known to frequently appear during egg production processing.

Hepatocellular Carcinoma in a Cocker Spaniel Dog with Hypoglycemia (저혈당증을 동반한 코커스파니엘견에서의 간선암종 증례)

  • Kang, Min-Hee;Yoo, Jong-Hyun;Park, Hee-Myung
    • Journal of Veterinary Clinics
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    • v.27 no.2
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    • pp.175-178
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    • 2010
  • A 5-year-old male Cocker spaniel was presented with an abrupt seizure episode. The dog was moderately dehydrated, hypersalivation and loss of consciousness at the presentation. Tentative diagnosis was made through history taking, clinical signs, physical examination, neurologic examination, basic laboratory examinations, radiological examination and cytologic examination. In addition, serum alpha-fetoprotein (AFP) value was measured to diagnose in this case. The serum AFP concentration was marked elevated (1513.5 ng/ml). The patient was suspected as HCC and medical therapy was initiated to control hypoglycemic-associated seizure. However, the dog was euthanized because of the owner's request. It was diagnosed as hepatocellular carcinoma (HCC) based on the histopathologic examination. This case indicates that AFP measurement might be valuable to diagnose HCC in dogs.

A Monitoring System Based on an Artificial Neural Network for Real-Time Diagnosis on Operating Status of Piping System (가스배관망 작동상태 실시간 진단용 인공신경망 기반 모니터링 시스템)

  • Jeon, Min Gyu;Cho, Gyong Rae;Lee, Kang Ki;Doh, Deog Hee
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.39 no.2
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    • pp.199-206
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    • 2015
  • In this study, a new diagnosis method which can predict the working states of a pipe or its element in realtime is proposed by using an artificial neural network. The displacement data of an inspection element of a piping system are obtained by the use of PIV (particle image velocimetry), and are used for teaching a neural network. The measurement system consists of a camera, a light source and a host computer in which the artificial neural network is installed. In order to validate the constructed monitoring system, performance test was attempted for two kinds of mobile phone of which vibration modes are known. Three values of acceleration (minimum, maximum, mean) were tested for teaching the neural network. It was verified that mean values were appropriate to be used for monitoring data. The constructed diagnosis system could monitor the operation condition of a gas pipe.