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University of Central Florida

Theses/Dissertations

Discrete event simulation

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Full-Text Articles in Engineering

Simulation-Based Cognitive Workload Modeling And Evaluation Of Adaptive Automation Invoking And Revoking Strategies, Christina Rusnock Jan 2013

Simulation-Based Cognitive Workload Modeling And Evaluation Of Adaptive Automation Invoking And Revoking Strategies, Christina Rusnock

Electronic Theses and Dissertations

In human-computer systems, such as supervisory control systems, large volumes of incoming and complex information can degrade overall system performance. Strategically integrating automation to offload tasks from the operator has been shown to increase not only human performance but also operator efficiency and safety. However, increased automation allows for increased task complexity, which can lead to high cognitive workload and degradation of situational awareness. Adaptive automation is one potential solution to resolve these issues, while maintaining the benefits of traditional automation. Adaptive automation occurs dynamically, with the quantity of automated tasks changing in real-time to meet performance or workload goals. …


An Interval Based Approach To Model Input Uncertainty In Discrete-Event Simulation, Ola Batarseh Jan 2010

An Interval Based Approach To Model Input Uncertainty In Discrete-Event Simulation, Ola Batarseh

Electronic Theses and Dissertations

The objective of this research is to increase the robustness of discrete-event simulation (DES) when input uncertainties associated models and parameters are present. Input uncertainties in simulation have different sources, including lack of data, conflicting information and beliefs, lack of introspection, measurement errors, and lack of information about dependency. A reliable solution is obtained from a simulation mechanism that accounts for these uncertainty components in simulation. An interval-based simulation (IBS) mechanism based on imprecise probabilities is proposed, where the statistical distribution parameters in simulation are intervals instead of precise real numbers. This approach incorporates variability and uncertainty in systems. In …


Improving Project Management With Simulation And Completion Distributi, Grant Cates Jan 2004

Improving Project Management With Simulation And Completion Distributi, Grant Cates

Electronic Theses and Dissertations

Despite the critical importance of project completion timeliness, management practices in place today remain inadequate for addressing the persistent problem of project completion tardiness. Uncertainty has been identified as a contributing factor in late projects. This uncertainty resides in activity duration estimates, unplanned upsetting events, and the potential unavailability of critical resources. This research developed a comprehensive simulation based methodology for conducting quantitative project completion-time risk assessments. The methodology enables project stakeholders to visualize uncertainty or risk, i.e. the likelihood of their project completing late and the magnitude of the lateness, by providing them with a completion time distribution function …


Data Bandwidth Reduction Techniques For Distributed Embedded Simulatio, Hubert Bahr Jan 2004

Data Bandwidth Reduction Techniques For Distributed Embedded Simulatio, Hubert Bahr

Electronic Theses and Dissertations

Maintaining coherence between the independent views of multiple participants at distributed locations is essential in an Embedded Simulation environment. Currently, the Distributed Interactive Simulation (DIS) protocol maintains coherence by broadcasting the entity state streams from each simulation station. In this dissertation, a novel alternative to DIS that replaces the transmitting sources with local sources is developed, validated, and assessed by analytical and experimental means. The proposed Concurrent Model approach reduces the communication burden to transmission of only synchronization and model-update messages. Necessary and sufficient conditions for the correctness of Concurrent Models in a discrete event simulation environment are established by …