LOUIS University of Alabama in Huntsville
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Development and Optimization of a Penning Ion Source for Neutron Generator Applications
https://louis.uah.edu/rceu-hcr/1487/thumbnail.jp
Fault tolerance in Krylov subspace methods
The increasing complexity of modern high-performance computing (HPC) systems, with their vast number of processing units and extensive memory hierarchies, introduces significant challenges to system resilience, particularly in the face of soft errors. Krylov subspace methods, which play a pivotal role in solving large-scale sparse linear systems and eigenvalue problems, are iterative in nature and thus susceptible to the propagation of soft errors. In this paper, we examine the fault tolerance properties of two widely-used Krylov subspace methods: the Lanczos method and the Bi- Conjugate Gradient (BiCG) method. Specifically, we analyze the impact of soft errors introduced during the critical Sparse Matrix-Vector Multiplication (SpMV) operation on the accuracy of eigenvalue computations in the Lanczos method and the convergence behavior in the BiCG method. Our empirical results reveal that while both methods demonstrate an intrinsic resilience to errors, the BiCG method exhibits superior self-correcting characteristics. Moreover, we observe a strong correlation between the row-2-norm of the sparse matrix and the slowdowns, suggesting that targeted fault protection can enhance overall algorithmic robustness. Additionally, we present a comparative analysis of the fault tolerance between the BiCG and Preconditioned Conjugate Gradient (PCG) method, emphasizing the importance of BiCG in Krylov Subspace Methods
Exploring Moral Distress in Air Medical Clinicians
https://louis.uah.edu/rceu-hcr/1516/thumbnail.jp
From Manuscript to Machine: AI-Driven Transcriber
A significant bottleneck in the research process of the pre-digital era is accessing the necessary documents to perform said research. The obvious answer is digital documents; however, the process of digitization and transcribing takes time and manpower. This poster presents an AI-backed process for converting documents from physical pages to a digital text.https://louis.uah.edu/honors-399/1027/thumbnail.jp
Analyzing Kepler Light-Curves of Eclipsing Binary Stars
https://louis.uah.edu/rceu-hcr/1524/thumbnail.jp
Digital Manufacturing: Integrating Load Cell Sensors into an Manual Assembly Line
https://louis.uah.edu/rceu-hcr/1514/thumbnail.jp
Experimental and numerical investigation of combined mechanical, electrical, and thermal response of LR61 alkaline batteries at various loading rates
Lithium batteries are present in most electronic devices and machines but pose a serious threat to users if they are over heated, over charged, or otherwise physically damaged. In order to better understand the underlying causes of lithium battery fires, testing procedures at various rates of low, intermediate, and dynamic are established with less volatile 1.5 V LR61 alkaline batteries. The various rates are to cover representative loading rates from scenarios ranging from dropping a cell phone a short distance to a high-rate drone collision with an aircraft. Material characterization is also done on the metal casing to better understand the material behavior. These test results are used for preliminary investigations of numerical modeling methods that combine the mechanical, electrical, and thermal effects