scholarly journals Fuzzy Matching: Hardware Accelerated MPI Communication Middleware

Author(s):  
Matthew G. F. Dosanjh ◽  
Whit Schonbein ◽  
Ryan E. Grant ◽  
Patrick G. Bridges ◽  
S. Mahdieh Gazimirsaeed ◽  
...  
Optik ◽  
2021 ◽  
pp. 166991
Author(s):  
Chengyu Zhu ◽  
Yuxin Li ◽  
Hang Yuan ◽  
Yulei Wang ◽  
Lingxi Liang ◽  
...  

2014 ◽  
Vol 548-549 ◽  
pp. 1326-1329
Author(s):  
Juan Jin ◽  
Qing Fan Gu

Against to the unsustainable problems of health diagnosis, fault location and fault tolerance mechanisms that existing in the current avionics applications, we proposed a fault-tolerant communication middleware which is based on time-triggered in this paper. This middleware is designed to provide a support platform for applications of the real-time based on communication middleware. From the communication middleware level and also combined with time-triggered mechanism and fault-tolerant strategy, it diagnoses the general faults first, and then routes them to the appropriate fault mechanism to process it. So the middleware completely separates fault-tolerant process from the application software functions.


2017 ◽  
Vol 22 (7) ◽  
pp. 2267-2274 ◽  
Author(s):  
Hao Wang ◽  
Debiao He ◽  
Jian Shen ◽  
Zhihua Zheng ◽  
Xiaoyan Yang ◽  
...  

2017 ◽  
Vol 33 (5) ◽  
pp. 2961-2970 ◽  
Author(s):  
Jun Huang ◽  
Dingju Zhu ◽  
Yong Tang

Author(s):  
Bruno Aiazzi ◽  
Stefano Baronti ◽  
Massimo Bianchini ◽  
Alessandro Mori ◽  
Luciano Alparone

2018 ◽  
pp. 39-54 ◽  
Author(s):  
Francisco J. Santana-Jorge ◽  
Antonio C. Domínguez-Brito ◽  
Jorge Cabrera-Gámez

2018 ◽  
Vol 57 (8) ◽  
pp. 2447-2460 ◽  
Author(s):  
GaoFeng Luo ◽  
Ri-Gui Zhou ◽  
XingAo Liu ◽  
WenWen Hu ◽  
Jia Luo

Author(s):  
Ryan J. Urbanowicz ◽  
John H. Holmes ◽  
Dina Appleby ◽  
Vanamala Narasimhan ◽  
Stephen Durborow ◽  
...  

Abstract Objective Data harmonization is essential to integrate individual participant data from multiple sites, time periods, and trials for meta-analysis. The process of mapping terms and phrases to an ontology is complicated by typographic errors, abbreviations, truncation, and plurality. We sought to harmonize medical history (MH) and adverse events (AE) term records across 21 randomized clinical trials in pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension. Methods We developed and applied a semi-automated harmonization pipeline for use with domain-expert annotators to resolve ambiguous term mappings using exact and fuzzy matching. We summarized MH and AE term mapping success, including map quality measures, and imputation of a generalizing term hierarchy as defined by the applied Medical Dictionary for Regulatory Activities (MedDRA) ontology standard. Results Over 99.6% of both MH (N = 37,105) and AE (N = 58,170) records were successfully mapped to MedDRA low-level terms. Automated exact matching accounted for 74.9% of MH and 85.5% of AE mappings. Term recommendations from fuzzy matching in the pipeline facilitated annotator mapping of the remaining 24.9% of MH and 13.8% of AE records. Imputation of the generalized MedDRA term hierarchy was unambiguous in 85.2% of high-level terms, 99.4% of high-level group terms, and 99.5% of system organ class in MH, and 75% of high-level terms, 98.3% of high-level group terms, and 98.4% of system organ class in AE. Conclusion This pipeline dramatically reduced the burden of manual annotation for MH and AE term harmonization and could be adapted to other data integration efforts.


Sign in / Sign up

Export Citation Format

Share Document