DW
Daniël Worm
4 records found
1
Bayesian Networks (BNs) are probabilistic, graphical models for representing complex dependency structures. They have many applications in science and engineering. Their particularly powerful variant – Non-Parametric BNs – are for the first time implemented as an open-access scri
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Water distribution networks (WDNs) are critical to provide safe, clean drinking water around the globe. However, they are susceptible to accidental or deliberate contamination, potentially resulting in poisoned water, many fatalities and large economic consequences. In order to p
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Water Distribution Networks (WDNs) are often susceptible to either accidental or deliberate contamination which can lead to poisoned water, many fatalities and large economic consequences. In order to protect against these intrusions or attacks, an efficient sensor network with a
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The Reliability of a Gas Distribution Network
A Case Study
In this paper we take one of the cutting edge algorithms for computing the all-terminal reliability and the k-terminal reliability of a network and use it to compute the reliability of a real life gas distribution network in the Netherlands. To do this we estimate network propert
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