Searched for: subject%3A%22Bayesian%255C+Network%22
(81 - 100 of 144)

Pages

document
Radityo Andjaringrat Adhi, Theo (author)
Maturity model is widely known as an assessment tool to understand an organization management capabilities and identifying potential improvement. The model demonstrates informative results towards the organization management maturity but hard to acknowledge the influence of potential improvement towards the organization’s asset performance....
master thesis 2019
document
Abrishami, S. (author), Khakzad, N. (author), van Gelder, P.H.A.J.M. (author), Hosseini, Seyed Mahmoud (author)
Success Likelihood Index Model (SLIM) is one of the widely-used methods in human reliability assessment especially when data is insufficient. However, this method suffers from uncertainty as it heavily relies on expert judgment for determining the model parameters such as the rates and weights of the performance shaping factors. The present...
conference paper 2019
document
Mendoza Lugo, M.A. (author), Delgado-Hernández, David-Joaquín (author), Morales Napoles, O. (author)
In the bridge industry, current traffic trends have increased the likelihood of having the simultaneous presence of both extreme live loads and earthquake events. To date, their concurrent interaction has scarcely been systematically studied. Prevailing studies have investigated the isolated existence of either live loads or seismic actions. In...
journal article 2019
document
Khakzad, N. (author)
Global warming and the subsequent increase in the frequency and severity of wildfires demand for specialized risk assessment and management methodologies to cope with the ever-increasing risk of wildfires in wildland-industrial interfaces (WIIs). Wildfires can jeopardize the safety and integrity of industrial plants, and trigger secondary...
journal article 2019
document
Khakzad, N. (author)
System safety and reliability assessment relies on historical data and experts opinion for estimating the required failure probabilities. When data comes from different sources, be it different databases or subject domain experts, the estimation of accurate probabilities would be very challenging, if not impossible, and subject to high epistemic...
journal article 2019
document
Terefenko, Paweł (author), Paprotny, D. (author), Giza, Andrzej (author), Morales Napoles, O. (author), Kubicki, Adam (author), Walczakiewicz, Szymon (author)
Cliff coasts are dynamic environments that can retreat very quickly. However, the<br/>short-term changes and factors contributing to cliff coast erosion have not received as much attention as dune coasts. In this study, three soft-cliff systems in the southern Baltic Sea were monitored with the use of terrestrial laser scanner technology over a...
journal article 2019
document
Duvvuru Mohan, V.K. (author), Vardon, P.J. (author), Hicks, M.A. (author), van Gelder, P.H.A.J.M. (author)
Bayesian networks are proposed as a tool to integrate reliability and influential variables relating to the slope stability of an idealized embankment. The site investigation (extent) and slope geometry, as well as the material properties and their spatial variability, are considered within a Bayesian network. The random finite element method ...
conference paper 2019
document
Kooij, J.F.P. (author), Flohr, F.B. (author), Pool, E.A.I. (author), Gavrila, D. (author)
Anticipating future situations from streaming sensor data is a key perception challenge for mobile robotics and automated vehicles. We address the problem of predicting the path of objects with multiple dynamic modes. The dynamics of such targets can be described by a Switching Linear Dynamical System (SLDS). However, predictions from this...
journal article 2019
document
Cincotta, Salvatore (author), Khakzad, N. (author), Cozzani, Valerio (author), Reniers, G.L.L.M.E. (author)
Domino effects triggered by fire can cause extremely severe damages to the chemical and process plants. In the need of a more effective prevention of fire domino effects, the present study focuses on firefighting which has received less attention compared to passive and active fire protection systems. Considering both the vulnerability and...
journal article 2019
document
Li, Zongkun (author), Wang, Te (author), Ge, W. (author), Wei, Dong (author), Li, Hanyu (author)
Despite the fact that the Bayesian network has great advantages in logical reasoning and calculation compared with the other traditional risk analysis methods, there are still obvious shortcomings in the study of dynamic risk. The risk factors of the earth-rock dam breach are complex, which vary with time during the operation period. Static...
journal article 2019
document
Höfer, Solveig (author), Ziemba, A.M. (author), El Serafy, G.Y.H. (author)
The concept of ecosystem services is gaining attention in the context of sustainable resource management. However, it is inherently difficult to account for tangible and intangible services in a combined model. The aim of this study is to extend the definition of ecosystem service trade-offs by using Bayesian Networks to capture the...
journal article 2019
document
Chockalingam, S. (author), Pieters, W. (author), Teixeira, Andre M. H. (author), Khakzad, N. (author), van Gelder, P.H.A.J.M. (author)
Because of modern societies' dependence on industrial control systems, adequate response to system failures is essential. In order to take appropriate measures, it is crucial for operators to be able to distinguish between intentional attacks and accidental technical failures. However, adequate decision support for this matter is lacking. In...
conference paper 2019
document
de Ronde, Anouk (author), Kokshoorn, Bas (author), de Poot, Christianne J. (author), de Puit, M. (author)
Fingermarks are highly relevant in criminal investigations for individualization purposes. In some cases, the question in court changes from ‘Who is the source of the fingermarks?’ to ‘How did the fingermark end up on the surface?’. In this paper, we explore the evaluation of fingermarks given activity level propositions by using Bayesian...
journal article 2019
document
Aggarwal, Sakshi (author)
New railway bridges for high-speed trains are being built in a many countries around the world. In addition to the construction of new bridges, existing bridges are ageing. These two factors make the assessment of railway bridges essential. The bridges are designed considering certain predefined reliability criteria to account for the...
master thesis 2018
document
Arief, Raditya (author)
Cascading effects are high-impact, low-probability phenomena that have caused catastrophic impacts in various chemical and process plants around the world. With the increasing trend of cyberattacks targeting critical infrastructures, there is a concern that accidents caused by cyberattacks may trigger cascading effects in these facilities. In...
master thesis 2018
document
Stephen Sanjaya, Stephen (author)
Drought is a recurrent extreme climate event that strongly affects every spectre of the natural environment and human lives (Madadgar andMoradkhani, 2014). There were numerous drought episodes recorded in MidwesternUSA, particularly in California. It has affected many aspects, including water shortages, groundwater overdraft, critically low...
master thesis 2018
document
Emmanouil, Stergios (author)
Installation and maintenance strategies regarding offshore wind farm operations involve extensive logistics, since the main focus is the right temporal and spatial placement of personnel and equipment, while taking into account forecasted meteorological and hydrodynamic conditions. In order for these operations to be successful weather windows...
master thesis 2018
document
Couasnon, A.A.O. (author), Sebastian, Antonia (author), Morales Napoles, O. (author)
Traditional flood hazard analyses often rely on univariate probability distributions; however, in many coastal catchments, flooding is the result of complex hydrodynamic interactions between multiple drivers. For example, synoptic meteorological conditions can produce considerable rainfall-runoff, while also generating wind-driven elevated sea...
journal article 2018
document
Keemink, Wessel (author)
This thesis focuses on the combination of agent based modelling and Bayesian network. These techniques are used to see if this is a viable way of modelling green markets, like the heat pump market. These markets can change quickly. The combination of the techniques gives the investors in the model the ability to learn from new information during...
master thesis 2018
document
Jaeger, W.S. (author)
This thesis investigates how selected multivariate probabilistic methods can be adapted for risk analysis and decision making in coastal and offshore environments. In particular, the thesis makes a contribution to decision support tools for risk reduction efforts in coastal environments and to statistical simulation methods for wave conditions....
doctoral thesis 2018
Searched for: subject%3A%22Bayesian%255C+Network%22
(81 - 100 of 144)

Pages