SPA–fuzzy method based real-time risk assessment for major hazard installations storing flammable gas

2010 ◽  
Vol 48 (6) ◽  
pp. 819-822 ◽  
Author(s):  
Jianfeng Zhou
2008 ◽  
Vol 27 (3) ◽  
pp. 205-211 ◽  
Author(s):  
Zhou Jianfeng ◽  
Chen Guohua ◽  
Chen Qingguang

Author(s):  
Jie Bao ◽  
Xin Wang ◽  
Yihui Zheng ◽  
Feng Zhang ◽  
Xuyong Huang ◽  
...  

2008 ◽  
Vol 12 (sup2) ◽  
pp. 199-210 ◽  
Author(s):  
Dominik H. Lang ◽  
Sergio Molina-Palacios ◽  
Conrad D. Lindholm

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Davide Dardari ◽  
Nicoló Decarli ◽  
Anna Guerra ◽  
Ashraf Al-Rimawi ◽  
Víctor Marín Puchades ◽  
...  

In this paper, an ultrawideband localization system to improve the cyclists’ safety is presented. The architectural solutions proposed consist of tags placed on bikes, whose positions have to be estimated, and anchors, acting as reference nodes, located at intersections and/or on vehicles. The peculiarities of the localization system in terms of accuracy and cost enable its adoption with enhanced risk assessment units situated on the infrastructure/vehicle, depending on the architecture chosen, as well as real-time warning to the road users. Experimental results reveal that the localization error, in both static and dynamic conditions, is below 50 cm in most of the cases.


2021 ◽  
Vol 120 ◽  
pp. 02013
Author(s):  
Petya Biolcheva

In recent years, there has been increasing talk of the rapid entry of artificial intelligence into risk management. All the benefits it would bring over the whole process are often commented on: real-time results, processing large amounts of data, more complete risk identification, more accurate risk assessment, etc. There are also negative moods that make various experts feel threatened by their need to be replaced by artificial intelligence. Another problematic issue that arises is related to the transparency of algorithms and the increase in cyber risks [6]. This material aims to identify the individual elements at the stages of risk management in which artificial intelligence (AI) can and should be applied alone, in combination with expert opinion or not. Here it is shown that because of the use of AI the efficiency of the whole process is significantly increased, first of all by conducting in-depth analyses, and the decisions are made by the risk management experts. This proves its usefulness and increases the confidence of experts in it.


2010 ◽  
Vol 45 (2-3) ◽  
pp. 205-214 ◽  
Author(s):  
Konrad Wrona ◽  
Geir Hallingstad
Keyword(s):  

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