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 13 of 13 for “"Bayesian Belief Networks"”.
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A Life Cycle Software Quality Model Using Bayesian Belief Networks
… life cycle. The model is structured using Bayesian Belief Networks and, unlike previous efforts, uses widely-accepted software engineering standards and in-use industry techniques to quantify the indicators and measures of software quality. Data from 28 software engineering projects was …
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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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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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Coupling Agent-Based Models with Bayesian Belief Networks in Social-Ecological Systems Modeling: The Role of Uncertainty in the Resilience of Semi-Arid Riparian Corridors in the Sonoran Desert
… developed a series of models to test the use of Bayesian modeling techniques in addressing human-based sources of uncertainty. The models were developed in two semi-arid river basins in the Sonoran Desert to represent model social-ecological systems with three sub-systems: social – urban and …
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Hybrid Causal Logic Methodology for Risk Assessment
… and organizational roots. This is done using Bayesian belief networks (BBN). Bayesian belief networks are particularly useful as they do not require complete knowledge of the relation between causes and effects. The integrated model is therefore a hybrid causal model with the corresponding …
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Sensor networks for social networks
… the development of software that makes use of Bayesian belief networks and signal processing techniques to make meaningful inferences about real-world phenomena using data obtained from sensor networks. The effectiveness of the software is validated by applying it to the problem of detecting …
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COST REDUCTION THROUGH ASSEMBLY POSTPONEMENT IN MASS CUSTOMIZATION
… and customer service levels agreement. A Bayesian Belief Networks (BBNs) approach is used to calculate inventory levels and costs resulting from customer service level requirements. To illustrate our model, we use the customization of a desktop PC as an example. The results from this …
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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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Improving the efficiency of research and development using belief networks
… project success. We investigate the use of Bayesian belief networks as a means of tracking the success of research and development projects and prioritizing research funding across different experimental efforts. The focus of the thesis is on demonstrating a proof of concept of Bayesian …
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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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Adaptive Intelligent User Interfaces With Emotion Recognition
… the possible negative impacts of those emotions. Bayesian Belief Networks formalization was employed to develop the User Model to enable the intelligent system to appropriately adapt to the current context and situation by considering user-dependent factors, such as: personality traits and …
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Effectiveness of UK Legislation and Management in Producing Nature Conservation Outcomes: a Case Study of the Purbeck Heaths
… management measures are currently used on site. Bayesian Belief Networks were used to evaluate how different designated features within the NNR will continue to perform under current management methods. Results showed that protected designated features within the reserve would improve under the …
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Effects of disparate information levels on bridge management and safety
… and life-cycle assessment methods for bridge networks have received large research interest for many years; with modern emphasis often based on probabilistic approaches, due to their ability to handle uncertainty. This allows for risk-based approaches to quantify structural safety, which is …