통합 검색 | Korea Science

이정운;이용희;박근옥
- 대한인간공학회지
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- 제15권1호
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- pp.27-38
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- 1996
A total of 77 unanticipated trip cases induced by human errors in Korean nuclear power plants were collected from the nuclear power plant trip event reports and analyzed to investigate the areas of high priority for human error reduction. Prior to this analysis, a classification system was made on the four task-related categories including plant systems, work situations, task types, and error types. The erroneous actions affecting the unanticipated plant trips were indentified by reviewing carefully the description of trip events. Then, the events with erroneous action were analyzed by using the classification system. Based on the results for the individual cases, human error occurrences were counted for each of the four categories, also for the selected pairs of categories, to find out the relationships between the two categories in aspects of human errors. As a result, the plant systems, work situations, and task types, and error types which are dominant in human error occurrences were identified.
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Kim, Dae-Won
- 비파괴검사학회지
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- 제28권3호
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- pp.263-272
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- 2008
Many technical methods are used for nondestructive testing field for solid materials. Among those, ultrasonic inspection methods are widely used and one of the popular methods involves the extraction of an appropriate set of features followed by the use of a neural network for the classification of the signals in the feature space. This paper describes an approach which uses LMS method to determine the coordinates of the ultrasonic probe followed by the use of SAFT with centroid technique to estimate the location of the ultrasonic reflector. The method is employed for classifying UT-NDE signals from the steam generator tubes in a nuclear power plant. The classification results are presented for the ultrasonic signals from cracks and deposits within steam generator tubes.
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조남훈;한기원;송성진;이향범
- 전기학회논문지
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- 제56권7호
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- pp.1224-1230
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- 2007
In this paper, we study the classification of defects at steam generator tube in nuclear power plant using eddy current testing (ECT). We consider 4 defect patterns of SG tube: I-In type, I-Out type, V-In type, and V-Out type. Through numerical analysis program based on finite element modeling, 400 ECT signals are generated by varying width and depth of each defect type. In order to improve the classification performance, we propose new feature extraction technique. After extracting new features from the generated ECT signals, multi-layer perceptron is used to classify the defect patterns. Through the computer simulation study, it is shown that the proposed method achieves 100% classification success rate while the previous method yields 91% success rate.
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Ryu, Ki-Hyun
- 한국식물병리학회:학술대회논문집
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- 한국식물병리학회 2003년도 정기총회 및 추계학술발표회
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- pp.28-28
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- 2003
The International Committee for Taxonomy of Viruses (ICTV), which was formed over 30 years ago, aims to develop a single, universal taxonomic scheme for all viruses or, in other words, "the classification of viruses and the assignment of names to taxa". Plant Virus taxonomy is in charge of Plant Virus Subcommittee, a substructure of the ICTV. The ICTV has been most successfully pursuing that aim and its mammoth 'Seventh Report' records details of the names it has collated and approved, and of the classification, it has devised. The current 7th ICTV report published in 2000 contains plant viruses of 951 species in 79 genera in 17 families, though 24 of the 79 genera are floating genera, that is, they are not included in any established families. Proposed name of new or existing viruses are vote for the accepted taxonomic proposals by ICTV Executive Committee meeting. The approved results have been published as the ICTV reports providing standard names and taxa of viruses all over the world. A number of new plant viruses have been identified or reclassified in the genus or species level, and new genera and families have been proposed.(중략)
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Seo, Bong-Bo
- Journal of Plant Biology
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- 제39권3호
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- pp.203-207
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- 1996
On the basis of karyotypic analysis performed by conventional staining and Giemas C-banding technique, cytological relationship was inferred for 21 lines of Paeonia lactiflora Pal. cultivated in Korea. It was very difficult to infer their organized karyotypic classification system using the composition of somatic chromosomes involving sat-chromosomes, relative length of chromosomes, arm ratio and karyotypic formulae by conventional staining. From the distribution and number of Giemsa C-bands on the chromosomes b and c, 21 lines can be subclassified into 5 groups. It seems that the karyotypic polymorphism is observed in 21 lines of cultivated P. lactiflora because peony mainly propagates by outbreeding.
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