Parallel Sparse Matrix Algorithms in OCaml v5: Implementation, Performance, and Case Studies

This section presents the findings from experiments assessing the effectiveness of the GALE algorithm in managing cognitive workload (HTM) in simulation-based pilot tasks. Experiment #1 explores how different contextual control modes impact pilot performance, specifically focusing on action interrup...

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Veröffentlicht in:2025 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) S. 1 - 9
1. Verfasser: Recharla, Rakesh
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 20.03.2025
Schlagworte:
Delays
Jacobian matrices
Libraries
Program processors
Robustness
Signal processing
Sparse matrices
Vectors
Wireless communication
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Zusammenfassung:This section presents the findings from experiments assessing the effectiveness of the GALE algorithm in managing cognitive workload (HTM) in simulation-based pilot tasks. Experiment #1 explores how different contextual control modes impact pilot performance, specifically focusing on action interruptions, delays, and forgetfulness. Key insights include the identification of saturation points, trends, absences, and cliffs in the data, which reveal critical thresholds beyond which pilot performance significantly deteriorates. Notably, saturation occurs at high HTM levels, leading to excessive task interruptions and delays, while trends indicate that pilots experience performance degradation as HTM increases. The experiment also highlights the rare utility of certain control modes and the significant role of opportunistic mode in mitigating low HTM issues. Experiment #2 further validates these findings by disabling opportunistic mode, showing that GALE's performance in handling low HTM problems is compromised without it. The study underscores the practicality of GALE over traditional multi-objective evolutionary algorithms like NSGA-II, demonstrating its efficiency in managing complex simulations. The findings support the robustness of GALE and its strategic recommendations for managing cognitive workload in high-stress environments. Let me know if you need any adjustments or additional details!
DOI:10.1109/WiSPNET64060.2025.11004864