Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 21 for “"Bayesian Belief Network"”.
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Quantifying the Main Battle Tank's architectural trade space using Bayesian Belief Network
… technological alternatives. This thesis applies Bayesian Belief Network as a quantitative modeling and metrics calculation framework in establishing the preference order of possible architectural choices during the development of a Main Battle Tank. A framework of metrics was developed for the …
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Bayesian Belief Network (BBN)-based advisory system development for steam generator replacement project management
… survey and discussion with relevant experts, the Bayesian Belief Network (BBN) approach was selected to model the steam generator replacement proj ect management problem, where the situation holds inherently large uncertainty and complexities, since it has a superior ability to treat complexities, …
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Application of the Bayesian belief network model to evaluate variances in a clinical caremap: Radical prostatectomy case study
… variances in the clinical caremap by building a Bayesian belief network named BBN_RPC to model the radical prostatectomy caremap. The BBN_RPC model provides insight into probabilistic dependencies that exist among the activities (variables) in the caremap. We then use the BBN_RPC model to analyze …
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Comparing activity restriction and habitat creation approaches in Marine Protected Areas (MPAs): a Bayesian belief network model approach
Marine Protected Areas (MPAs) often fail to meet their objectives due to inadequate protection, lack of user compliance and insufficient governance. Whilst typical MPA usage restrictions such as fishing bans are often effective for ecological success, such approaches can fail in meeting …
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UAS Risk Analysis using Bayesian Belief Networks: An Application to the VirginiaTech ESPAARO
… on the Fault Tree Analysis (FTA) method to a Bayesian Belief Network (BBN) model. FTA is demonstrated to be a special case of BBN and BBN can allow for more complex interactions between nodes than is allowed by FTA. A model can be investigated to determine the components to which failure is …
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Uncertainty Analysis of the Performance of a System of Best Management Practices for Achieving Phosphorus Load Reduction to Surface Waters
… (BMPs) and their adoption were combined into a Bayesian belief network model to predict watershed performance of each BMP. Then, the BMPs were analyzed for their probability of high risk phosphorus load reduction and achieving the management objective. Trade-offs were observed among the BMPs …
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Bayesian belief networks to integrate monitoring evidence of water distribution system contamination
A Bayesian belief network (BBN) methodology is proposed for combining evidence to better characterize contamination events and reduce false positive sensor detections in drinking water distribution systems. A BBN is developed that integrates sensor data with other validating evidence of …
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Developments for the Characterization of Spacecraft Proximity Operations for Improved Space Situational Awareness
… and proximity operations (RPO) in space. A Bayesian Belief Network, a probabilistic evaluation tool, is introduced in order to fuse information sources together. Various combinations of relative orbital dynamics, vehicle characteristics, and environmental conditions can be used to determine …
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Development of Failure and Consequence Analysis Frameworks for Natural Gas Transmission Pipeline
… Interpretive Structural Modeling (ISM) and Bayesian Belief Network (BBN) are integrated to analyze the failure causes and influences of natural gas transmission pipeline. After that, to identify the consequence of the natural gas transmission pipeline failure, the potential threat zone …
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Development of a scenario-based approach for responding to change in fishery systems: a case study in the small-scale fisheries of South Africa's Southern Cape
… tools (specifically causal mapping, Bayesian belief networks and scenario planning) can be applied in an interactive and iterative scenario-based approach with disenfranchised fishers in support of decision-making at multiple scales. Specifically, this thesis aims to (1) determine and …
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The role of marine protected areas in enhancing biodiversity and ocean sustainability.
… based on the aspects above. I use a Bayesian belief network to predict the likely ecological success (i.e. enhancing stock sizes or increasing biodiversity) of 27 MPAs, modelled both in the absence and presence of potentially conflicting socio-economic and legal pressures. This study …
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Risk-modeling tools for designing resilient micro energy grids
… hand, intelligent reasoning algorithms using Bayesian belief network (BBN) are proposed to accurately and instantaneously estimate risks in MEG. This study introduces a hybridsafety assessment approach for MEG diagnosis by using a combination of ANFIS and BBN techniques. Finally, the …
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Integrating geographic information systems with the Level 3 Probabilistic Risk Assessment of nuclear power plants to advance modeling of socio-technical infrastructure in emergency response applications
… is utilized to operationalize this study. A Bayesian Belief Network (BBN) methodology is also proposed as an approach to “internally” incorporate social risk-contributing factors into a Level 3 PRA code. In this research, social vulnerability construct is used, as a surrogate for a causal …
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Habitat suitablity modelling in the New Forest National Park.
… approach that did not require GIS data, Bayesian Belief Network (BBN) modelling, was also used to incorporate finer-scale variables not available in GIS format. This relatively new approach to habitat suitability modelling was also used to predict the potential impact of climate change on …
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Advanced monitoring and advice integrating a comprehensive sensor network for improved operational availability
… architecture utilizes comprehensive sensor networks incorporating modern signal processing systems, advisory systems for sensor validation, and advisory systems for the intelligent diagnosis and maintenance (D&M). For the development of comprehensive sensor networks for complex target …
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An expert-based Bayesian investigation of greenhouse gas emission reduction options for German passenger vehicles until 2030
… thesis introduces an iterative expert-based Bayesian approach for assessing greenhouse gas (GHG) emissions from the 2030 German new vehicle fleet and quantifying the impacts of their main drivers. A first set of expert interviews has been carried out in order to identify technologies which …
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Strategic Risk and Reliability Assessment in the Container Liner Shipping Industry Under High Uncertainties
… Secondly, this research employs the Fuzzy Bayesian Belief Network (FBBN) method for evaluating the ORC of LSOs. By exploiting the proposed FBBN model, LSOs are able to conduct a self-evaluation of their ORC prior to the selection of a strategy for enhancing their competitive advantages in …
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Risk management system to guide building construction projects’ in developing countries: a case study of Nigeria
… construction projects were identified. A Bayesian Belief Network (BBN) model was developed by structural learning and used to examine the cause and effect relationship amongst the 27 critical risk factors. The developed BBN model was subjected to validation using a multiple case study of …
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The voting model for people search
… voting techniques can be modelled in terms of a Bayesian belief network, providing probabilistic semantics for the proposed voting paradigm. The proposed voting techniques are thoroughly evaluated on three standard expert search test collections, deriving conclusions concerning each component of …
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Unravelling abiotic and biotic drivers of biodiversity change in local plant and invertebrate communities after 80 years - a re-visitation study on the Studland peninsula.
… species and altering the structure of ecological networks to disturb others However, a paucity of data has meant that studies investigating abiotic and biotic drivers of biodiversity change over periods of decades are rare, particularly those spanning multiple co-occurring taxa. The aim of this …
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