WE-C-116-09: A Novel Flow Quantification Quality Assurance Method Using Power Injector

2013 ◽  
Vol 40 (6Part29) ◽  
pp. 485-485
Author(s):  
H Ai ◽  
T Clevenger ◽  
C Lin
Keyword(s):  
Quality Assurance ◽  
Flow Quantification ◽  
Power Injector ◽  
Quality Assurance Method

MO-G-18C-02: Flow Quantification Quality Assurance for Multiple MR Scanners Using Power Injector

2014 ◽  
Vol 41 (6Part25) ◽  
pp. 439-439
Author(s):  
H Ai ◽  
Y Zhou ◽  
T Clevenger ◽  
C Lin
Keyword(s):  
Quality Assurance ◽  
Flow Quantification ◽  
Power Injector

scholarly journals A Bayesian Network Based Method for Service Quality Optimization

2018 ◽  
Vol 11 (3) ◽  
pp. 1
Author(s):  
Lian Gaofeng
Keyword(s):  
Quality Assurance ◽  
Service Quality ◽  
Bayesian Network ◽  
Video Quality ◽  
Quality Parameters ◽  
Industrial Sectors ◽  
Internet Streaming ◽  
Contextual Awareness ◽  
The Relationship ◽  
Quality Assurance Method

Video conference, as an application of Internet streaming media, has attracted wide attention from both academic and industrial sectors. However, usersmay encounter many problemsindailyuse, such as poor video quality, playback delay, and lack of adjustable context, whichcausenegative impactson customers’usage experience. Existing end-to-end service quality assurance method mainly analyzes the relationship between the target service quality parameters and the context in a “single” manner. In this paper, we propose a Bayesian network-based service quality assurance method (named as Comprehensively Context-Aware approach, CCA), which combines Bayesian network and fuzzy set theoryand obtainsrandomrelationshipsamongdifferent service quality parameters through contextual awareness. Comprehensive experimentsclearly validate the superiority of CCA against other well-established methods.

Sign in / Sign up

Export Citation Format

Share Document