0

Full Content is available to subscribers

Subscribe/Learn More  >

Usability Evaluation Research on Operation and Monitoring Interface of Main Control Room

[+] Author Affiliations
Shengyuan Yan, Zhijian Zhang, Mingjun Peng, Ming Yang

Harbin Engineering University, Harbin, China

Paper No. ICONE16-48260, pp. 983-987; 5 pages
doi:10.1115/ICONE16-48260
From:
  • 16th International Conference on Nuclear Engineering
  • Volume 3: Thermal Hydraulics; Instrumentation and Controls
  • Orlando, Florida, USA, May 11–15, 2008
  • Conference Sponsors: Nuclear Engineering Division
  • ISBN: 0-7918-4816-7 | eISBN: 0-7918-3820-X
  • Copyright © 2008 by ASME

abstract

Deciding the evaluation index weight is a key technique in estimating human factor design of operation and monitoring interfaces (OMI). It is very hard to avoid the influences caused by the individualities of valuators and the randomicity factors by using the traditional OMI evaluation methods. An RBF networks based subjective evaluation method is proposed in this paper, which has the properties of self-organizing, self-learning, self-adapting. In addition, because the RBF networks can be trained to study and learn the regularity of index weights of subjective evaluation concealed in the training data, and therefore the influence of randomicity factors can be overcome by means of RBF networks automatically adjusting index weights of subjective evaluation. The subjective evaluation indexes and models of OMI are established. The number of samples, the value of spread, the accuracy of RBF subjective evaluation network model, and the relationship between them are researched Error analyses of OMI subjective evaluation model based on RBF network are carried out by using different training samples, respectively. The analysis results show that the OMI subjective evaluation model by using 80 training samples is of satisfied accuracy.

Copyright © 2008 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In