Synthetic Ferality: An Interactive Exploration with AI and Digital Idolatry

https://louis.uah.edu/research-horizons/1387/thumbnail.jp

Improving satellite needs working group assessment process through automation and process consolidation

The increasing complexity of modern software ecosystems, presents significant challenges to system resilience, maintainability and automation. This work presents a proof-of-concept implementation of an automation system to address these challenges for a large scale fragmented software systems. Succinctly we address these challenges in the context of Satellite Needs Working Group (SNWG), which is responsible for collecting and communicating federal agencies\u27 Earth observation needs to National Aeronautics and Space Administration (NASA). Multiple automation scripts and applications exist to support the SNWG\u27s assessment cycle, encompassing the areas of data validation, visualization, report generation, and user management. However, the dispersion of these tools into isolated, stand-alone components has led to operational inefficiencies, data inconsistency, and increased maintenance overhead. Through a comprehensive analysis of the SNWG assessment phases, this research identifies the specific challenges stemming from fragmentation and highlights the deficiencies in inter-system communication. To resolve these issues, our work proposes a unified software platform conceptualized using modern software engineering principles, such as micro-services architecture, RESTful API design, and cloud-based infrastructure. By consolidating the previously silo-ed software components into a centralized system, the proposed solution enhances inter-agency collaboration, reduces manual intervention, improves data consistency, and strengthens security. From a software engineering perspective, this work exemplifies a broader industry trend in software development: the transition from silo-ed, legacy automation scripts to integrated, scalable, and maintainable ecosystems. Similar challenges exist in other domains, for example, finance, healthcare, and government operations, where organizations struggle to unify disparate software components while ensuring operational continuity and resilience. By demonstrating best practices in systems architecture, software development, testing, and deployment, this thesis presents findings that can be extended beyond the realm of Earth observation applications, offering a generally applicable framework for designing resilient and unified software platforms

Multiscale finite element analysis of cylindrical jellyroll based energy storage devices

Lithium batteries are an ever-expanding solution for energy storage; however, their internal chemistry is highly prone to combustion. Any severe mechanical failure can lead to this scenario, which is problematic as their use in electric vehicles increases. As such, finite element modeling efforts need to improve in order to properly define the failure mechanics of these batteries. Efforts have already been made to create an accurate model of the battery as a whole, but this generalized model does not capture the short-circuiting phenomena within the internal components. To solve this problem, a representative volume model that generates input data and simplifies the internal geometry for a global-local model is proposed. This allows the battery to be accurately modeled mechanically, is computationally inexpensive, and provides an insight into the failure of the exceedingly small internal components to pinpoint exactly when short circuiting occurs

Fabrication and Characterization of Biodegradable Polymer Samples for Use as Shoe Outsole Material

https://louis.uah.edu/rceu-hcr/1506/thumbnail.jp

Ichor Islands Creating a 3D Animated Short Film

https://louis.uah.edu/rceu-hcr/1496/thumbnail.jp

Radar resolution improvements using reference target sliding method in range doppler matrix

A novel reference target sliding method (RTSM) in the frequency domain of post-match-filtered radar data is presented, and it is shown that target resolution can be improved to levels much finer than classical bandwidth-limited resolution metrics. The RTSM uses a priori knowledge of the radar system to test returned signals against baseline references to provide expected target fitting. The methods developed have broad application and can be used to provide crossing target resolution and estimation parameter refinement in the presence of overlapping targets. Additionally, the reduced requirement for bandwidth in target resolution will allow for low-bandwidth systems to perform on par with higher-bandwidth systems in several applications. The proposed methods are also well-suited to improve detection and tracking performance in lower cost arrays such as non-actively scanned arrays that employ digital beamforming. The RTSM is presented from an underlying mathematical approach, where input reference data can be formed from closed-form equations or with discrete methods. Tracking case studies and statistical analysis show that RTSM improves target crossing performance in a large variety of cases. Material is presented that demonstrates the algorithm and methods are robust enough to not require strict point targets as input. While RTSM is currently set to accurately resolve no more than two overlapped targets, test data are presented that show its ability to continue to work with relatively high accuracy with interferers present. Finally, discussion is offered for the future direction of this work, including the expansion to a first-look Doppler ambiguity resolver