Including Electromagnetic Interference (EMI) in Functional Safety Risk Assessments

2011 ◽  
pp. 97-114 ◽  
Author(s):  
Keith Armstrong
Keyword(s):  
Electromagnetic Interference ◽  
Risk Assessments ◽  
Functional Safety ◽  
Safety Risk

scholarly journals Enlisting Supervised Machine Learning in Mapping Scientific Uncertainty Expressed in Food Risk Analysis

2017 ◽  
Vol 48 (3) ◽  
pp. 608-641 ◽  
Author(s):  
Akos Rona-Tas ◽  
Antoine Cornuéjols ◽  
Sandrine Blanchemanche ◽  
Antonin Duroy ◽  
Christine Martin
Keyword(s):  
Machine Learning ◽  
Food Safety ◽  
Supervised Machine Learning ◽  
Risk Assessments ◽  
Scientific Uncertainty ◽  
Empirical Measure ◽  
Taxonomic Structure ◽  
Safety Risk ◽  
Food Safety Risk

Recently, both sociology of science and policy research have shown increased interest in scientific uncertainty. To contribute to these debates and create an empirical measure of scientific uncertainty, we inductively devised two systems of classification or ontologies to describe scientific uncertainty in a large corpus of food safety risk assessments with the help of machine learning (ML). We ask three questions: (1) Can we use ML to assist with coding complex documents such as food safety risk assessments on a difficult topic like scientific uncertainty? (2) Can we assess using ML the quality of the ontologies we devised? (3) And, finally, does the quality of our ontologies depend on social factors? We found that ML can do surprisingly well in its simplest form identifying complex meanings, and it does not benefit from adding certain types of complexity to the analysis. Our ML experiments show that in one ontology which is a simple typology, against expectations, semantic opposites attract each other and support the taxonomic structure of the other. And finally, we found some evidence that institutional factors do influence how well our taxonomy of uncertainty performs, but its ability to capture meaning does not vary greatly across the time, institutional context, and cultures we investigated.

Non-Animal Approaches for Consumer Safety Risk Assessments: Unilever's Scientific Research Programme

2009 ◽  
Vol 37 (6) ◽  
pp. 595-610 ◽  
Author(s):  
Paul Carmichael ◽  
Michael Davies ◽  
Matt Dent ◽  
Julia Fentem ◽  
Samantha Fletcher ◽  
...  
Keyword(s):  
Scientific Research ◽  
Research Programme ◽  
Risk Assessments ◽  
Safety Risk ◽  
Consumer Safety

Health and safety risk assessments in the health sector

Facilities ◽  
1995 ◽  
Vol 13 (2) ◽  
pp. 22-25 ◽  
Author(s):  
Lawrence Waterman
Keyword(s):  
Health Sector ◽  
Health And Safety ◽  
Risk Assessments ◽  
Safety Risk

Framework for Microbial Food-Safety Risk Assessments Amenable to Bayesian Modeling

Risk Analysis ◽  
2010 ◽  
Vol 31 (4) ◽  
pp. 548-565 ◽  
Author(s):  
Michael S. Williams ◽  
Eric D. Ebel ◽  
David Vose
Keyword(s):  
Food Safety ◽  
Bayesian Modeling ◽  
Risk Assessments ◽  
Safety Risk ◽  
Food Safety Risk

scholarly journals Conducting fit‐for‐purpose food safety risk assessments

EFSA Journal ◽  
2019 ◽  
Vol 17 ◽  
Author(s):  
Yann Devos ◽  
Kevin C Elliott ◽  
Philip Macdonald ◽  
Katherine McComas ◽  
Lucia Parrino ◽  
...  
Keyword(s):  
Food Safety ◽  
Risk Assessments ◽  
Safety Risk ◽  
Fit For Purpose ◽  
Food Safety Risk
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