• Title/Summary/Keyword: FROMA

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Assessment of the severe accident code MIDAC based on FROMA, QUENCH-06&16 experiments

  • Wu, Shihao;Zhang, Yapei;Wang, Dong;Tian, Wenxi;Qiu, Suizheng;Su, G.H.
    • Nuclear Engineering and Technology
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    • v.54 no.2
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    • pp.579-588
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    • 2022
  • In order to meet the needs of domestic reactor severe accident analysis program, a MIDAC (Module Invessel Degraded severe accident Analysis Code) is developed and maintained by Xi'an Jiaotong University. As the accuracy of the calculation results of the analysis program is of great significance for the formulation of severe accident mitigation measures, the article select three experiments to evaluate the updated severe accident models of MIDAC. Among them, QUENCH-06 is the international standard No.45, QUENCH-16 is a test for the analysis of air oxidation, and FROMA is an out-of-pile fuel rod melting experiment recently carried out by Xi'an Jiaotong University. The heating and melting model with lumped parameter method and the steam oxidation model with Cathcart-Pawel and Volchek-Zvonarev correlations combination in MIDAC could better meet the needs of severe accident analysis. Although the influence of nitrogen still need to be further improved, the air oxidation model with NUREG still has the ability to provide guiding significance for engineering practice.

Performance Analysis of SSSC with Switching-level Simulation Model and Scaled Hardware Model

  • Han, Byung-Moon;Kim, Hee-Joong;Baek, Seung-Taek
    • Journal of Power Electronics
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    • v.1 no.1
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    • pp.48-55
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    • 2001
  • This paper describes a switching-level simulation model and scaled hardware model for SSSC, which is useful for analyzing the dynamic interaction between the SSC and the power transmission system. A detailed simulation model with EMTP was developed to verity the SSSC operation with control system, and its increasing capability of power transmission through the line for a typical one-machine infinite-bus system. The simulation results of the developed model are compared with the experimental results froma scaled model fo 2KVA rating for evaluation the whole system operation.

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Effects of Visiting Laughter Therapy on Depression and Insomnia among the Vulnerable Elderly (방문웃음요법이 취약계층 노인의 우울과 불면증에 미치는 효과)

  • Park, Eunok
    • Research in Community and Public Health Nursing
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    • v.24 no.2
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    • pp.205-213
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    • 2013
  • Purpose: The purpose of this study is to investigate the effects of visiting laughter therapy on depression and insomnia in the vulnerable elderly. Methods: A quasi-experimental nonequivalent control group pretest-posttest design was used for this study. The participants were 87 elderly who were registered in the Tailored Visiting Health Program of public health centers. Data were collected from September to November 2010. The experimental group received visiting laughter therapy froma visiting nurse who had taken laughter training provided by laughter therapy experts. The experimental group received 10~15 min of laughter therapy once a week for 8 weeks. The instruments included Geriatric Depression Scale and Insomnia Severity Index to measure depression and sleep problems before and after the laughter therapy. Results: The results showed that visiting laughter therapy was effective in decreasing depression and insomnia among the vulnerable elderly. Conclusion: These findings indicate that laughter therapy may be an effective nursing intervention to improve depression and insomnia Further studies would be needed to identify the difference of effects according to time, interval, or period of visiting laughter therapy and to evaluate the lasting effect of visiting laughter therapy.

Template Fusion for Fingerprint Recognition (지문 등록을 위한 템플릿 융합 알고리즘)

  • 류춘우;문지현;김학일
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.2
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    • pp.51-64
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    • 2004
  • This paper proposes an algerian of generating a tuner-template from multiple fingerprint impressions using a data fusion technique for fingerprint enrollment. The super-template is considered as a single fingerprint template which contains most likely true minutiae based on multiple fingerprint images. The proposed algorithm creates the super template by utilizing a recursive Bayesian estimation method (RBEM), which assumes a sequential fingerprint input model and estimates the credibility of the minutiae in previous input templates froma current input template. Consequently. the RBEM assigns a higher credibility to commonly detectable minutiae from several input templates and a lower credibility to rarely found minutiae from other input templates. Likewise, the RBEM is able to estimate a credibility of the minutia type (ridge ending or bifurcation). Preliminary experiments demonstrate that, as the number of fingerfrint images increases, the performance of recognition can be improved while maintaining the processing time and the size of memory storage for tile super-template almost constant.