Texas A&M University – Corpus Christi
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Tilt-A-Whirl ride in a carnival
No full textAngeled View of the Tilt-A-Whirl ride in a carnival near the bay are
Designing UAV swarm experiments: A simulator selection and experiment design process
No full textThe rapid advancement and increasing number of applications of Unmanned Aerial Vehicle
(UAV) swarm systems have garnered significant attention in recent years. These systems offer a
multitude of uses and demonstrate great potential in diverse fields, ranging from surveillance and
reconnaissance to search and rescue operations. However, the deployment of UAV swarms in dynamic
environments necessitates the development of robust experimental designs to ensure their reliability
and effectiveness. This study describes the crucial requirement for comprehensive experimental
design of UAV swarm systems before their deployment in real-world scenarios. To achieve this, we
begin with a concise review of existing simulation platforms, assessing their suitability for various
specific needs. Through this evaluation, we identify the most appropriate tools to facilitate one’s
research objectives. Subsequently, we present an experimental design process tailored for validating
the resilience and performance of UAV swarm systems for accomplishing the desired objectives.
Furthermore, we explore strategies to simulate various scenarios and challenges that the swarm
may encounter in dynamic environments, ensuring comprehensive testing and analysis. Complex
multimodal experiments may require system designs that may not be completely satisfied by a
single simulation platform; thus, interoperability between simulation platforms is also examined.
Overall, this paper serves as a comprehensive guide for designing swarm experiments, enabling the
advancement and optimization of UAV swarm systems through validation in simulated controlled environments.This research received no external funding
The depth and breadth of improvement science: A review of the improvement science in education series
No full textThe Improvement Science in Education series, initiated in 2019 by Robert Crow, Brandi Nicole Hinnant-Crawford, and Dean T. Spaulding, seeks to broaden and strengthen the understanding and use of improvement science in education. Interest in improvement science in education has sharply risen in recent years, positioning this series to support the field and those interested in improvement science. This review of the Improvement Science in Education series is organized by brief summaries and discussions of the six currently available books in a suggested order based on their content (not necessarily publication date), followed by a conclusion considering the books’ significance, relevance, and target audience
Parts and Service Departments of Goad Cadillac
No full textParts and Service Departments of Goad Cadillac with two cars in the bay as a the mechanic is on the phone in the backgroun
Quiet rebellions: An interview with Gothataone Moeng
No full textIn “Botalaote,” the opening story to Gothataone Moeng’s debut collection of short stories, we first encounter
the protagonist Boikanyo in the warmth of her mother’s presence in the kitchen, where “doors slammed in
her wake. In the kitchen, dishes clattered, hot cooking oil splattered, and the aroma of frying potatoes rose”
(1). In her old bedroom, her aunt Lydia coughs and sweats her devastating illness: “Above the blanket, her
head poked out. What used to be a full head of hair was now just dust-brown and reddish fibers” (6). At the
end, Boikanyo reflects on the world of her small rural hometown, its “juxtaposition of school and cemetery”
(26), where her “chest ached with the frustration” of not being able to attend a local wedding (8). There is neither lesson nor catharsis but the ordinariness of a life shaped by contradictions, what remains unsaid,
and the ways women must navigate the norms that bear upon their lives
Johnny Galvan, Jr. and Consuela
No full textJohnny Galvan, Jr. and wife Consuela captured in a picture smilin
Elizabeth Goad at Autorama
No full textElizabeth Goad smiling at the Autorama posing while sitting in a ca
Autonomous GPS ground vehicle navigation
No full textUnder Mentorship of Eric Ponte, Dr. Scott King, Dr. Dulal Kar, and Mahmoud EldefrawyAutomation is a major part of today’s world, automation can potentially save both time and resources in this fast paced world. It took a while for automation to become a mainstream part of everyday life, and there were many small steps made towards this goal. Incremental step that we have made towards automating small tasks is a GPS guided unmanned ground vehicle that can eventually be the groundwork for automating many small monotonous tasks. Small ground vehicles can be an extremely dynamic tool in terms of automation. They can assist in hauling, gardening, gathering information, and etc.. There is a nearly limitless amount of tasks that a ground based drone can perform. There are a few setbacks though, how accurate the location system is, what algorithm it uses to move, and battery life. This study will test the accuracy of the drone as well as which algorithm works the best for a real drone. The goal of this paper is to find which algorithm works the best and how accurate is possible within these hardware limitations. The secondary goal is to be employed in farms as a small field hand noting occurrences in the fields. Eventually being outfitted with machine learning and a possible limb to allow for manipulation of its surroundings to allow for the drone to do tasks