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Articles 451 - 480 of 8685
Full-Text Articles in Entire DC Network
A Proposed Ehrenfeucht-Fraïssé Game Model For Natural Language Processing Generative Adversarial Networks, Don Li
Anthós
Large Language Models (LLM’s) (e.g., ChatGPT) constitute both a significant research area and commercial application of AI. Current major LLM’s are built on Generative Pre-Trained Transformer (GPT) neural network architecture to perform natural language processing (NLP) tasks. Generative Adversarial Network (GAN) is another popular neural network architecture, which leverages a zero-sum game between constituent neural networks within the architecture to train the GAN, and is widely used for visual data applications. This article proposes a new GAN architecture for NLP: an EF-GAN whose underlying algorithm uses Ehrenfeucht–Fraïssé (EF) games, a game-theoretic approach from model theory to determine elementary equivalence of …
Seizing The Moment: Post-Covid-19 Enrollment Trends Among Nontraditional Honors Students, Solomon Aleph
Seizing The Moment: Post-Covid-19 Enrollment Trends Among Nontraditional Honors Students, Solomon Aleph
Anthós
This article investigates the motivations behind the rising enrollment of nontraditional students at Portland State University’s Honors College, which nearly doubled from 2019 to 2022 following the COVID-19 pandemic. Aleph argues that nontraditional students viewed education as a means of reclaiming agency and reshaping their futures. Through interviews and a focus group with four nontraditional students, Aleph explores how the pandemic created disruption and opportunities. The study finds that while economic instability and isolation were factors, intrinsic motivations—especially a desire for self-improvement, intellectual challenge, and rewriting personal narratives—were more prominent factors shaping enrollment decisions. Drawing from this qualitative analysis, Aleph …
Consumption Pressure In Estuaries Peaks At Intermediate Salinities, Catherine E. De Rivera, Amy A. Larson, Benjamin G. Rubinoff, Luna R. Soto, Seth L. Wright, Edwin D. Grosholz, Gregory M. Ruiz, Andrew L. Chang
Consumption Pressure In Estuaries Peaks At Intermediate Salinities, Catherine E. De Rivera, Amy A. Larson, Benjamin G. Rubinoff, Luna R. Soto, Seth L. Wright, Edwin D. Grosholz, Gregory M. Ruiz, Andrew L. Chang
Environmental Science and Management Faculty Publications and Presentations
The nature and strength of biotic interactions change along stress gradients, but the importance of these interactions across estuarine gradients is under studied. Here, we examined how consumption varies across estuarine salinity gradients by deploying standardized baits (‘squidpops’) to measure consumption pressure along the gradients of five estuaries in Oregon, USA. The relationship between consumption and stress was nonlinear: consumption pressure peaked slightly at mid salinity and decreased at low salinity, especially as temperature increased, in the five estuaries studied. This finding does not support either of two existing models for consumption across gradients, including the Consumer Stress Model and …
Disability In Exile: The "Union Of Russian Invalids" In Interwar Bulgaria And Yugoslavia, Evguenia Davidova
Disability In Exile: The "Union Of Russian Invalids" In Interwar Bulgaria And Yugoslavia, Evguenia Davidova
History Faculty Publications and Presentations
This article examines the post-war experience of a specific group of war veterans: the Russian refugees after the October Revolution in 1917. What happened when disabled veterans were stateless and dispersed among several foreign states? The focus is on comparing interwar Bulgaria and Yugoslavia, two countries on opposite sides of the Great War. There the refugees established various societies, mostly dominated by the military. Drawing on unpublished archival sources, this article investigates how the Russian societies for disabled persons functioned at four levels: amid the other Russian associations in Bulgaria and Yugoslavia; among the greater diaspora known as “Russia Abroad”; …
Does Coil Build Social Capital? Trust, Tolerance, And Political Engagement Among Students In The Usa And Uae, Lindsay J. Benstead, Kristina Katsos, Sally S. Mudiamu, Corinne Hughes
Does Coil Build Social Capital? Trust, Tolerance, And Political Engagement Among Students In The Usa And Uae, Lindsay J. Benstead, Kristina Katsos, Sally S. Mudiamu, Corinne Hughes
Politics and Global Affairs Faculty Publications and Presentations
Despite technological innovation and the COVID-19 pandemic, there is a dearth of experimental research on the effects of virtual instruction. Using an original field experiment conducted among 100 UAE and USA students, we investigate how a Collaborative Online International Learning (COIL) project on international development shapes social trust, tolerance, and political engagement. In an experimental design, UAE-based students were randomly assigned to a group with either their classmates or, through online interaction, with USA-based students, while in a quasi-experimental design, USA-based students collaborated online with UAE-based students. UAE-based COIL students developed greater interpersonal trust of others in their society, but …
Will Malaysia Become An Active Middle Power?, Bruce Gilley
Will Malaysia Become An Active Middle Power?, Bruce Gilley
Politics and Global Affairs Faculty Publications and Presentations
Malaysia’s economic growth and democratisation since 2003 have vaulted it into the ranks of the middle powers in the international system. However, Malaysia remains hesitant about its middle power status. It has assumed a counterhegemonic or pro-multipolarity role; it has supported some new international rules and institutions; it leads regional governance institutions; and it advocates for small countries on development issues. However, these middle power behaviours are countered by a continuation of traditional Malaysia diplomacy which is inactive in shaping the emergence of superpower China as well as being disruptive and personalistic, most recently because of its embrace of radicalisms. …
Capital Structure And Business Failure: The Collapse Of Canada’S Dome Petroleum, Bruce Gilley
Capital Structure And Business Failure: The Collapse Of Canada’S Dome Petroleum, Bruce Gilley
Politics and Global Affairs Faculty Publications and Presentations
In popular lore, the failure of Canada’s once-biggest company, Dome Petroleum, was caused by the interventionist policies of the federal government or its misadventures drilling for oil in the Arctic. But these factors acted in varied ways on the company. Rather, corporate finance theories offer more insight into the dynamics that led to Dome’s takeover by the American oil major Amoco in 1988. Dome was unique in its unwillingness to issue new share capital during its growth phase and instead relied on easy debt financing. This in turn was a result of both insider preferences as well as capital market …
Language, People, Classrooms, World: Blending Disparate Theories For United Language Education Practices, Masatoshi Sato, Steven L. Thorne, Marije Michel, Theodora Alexopoulou, John Hellermann
Language, People, Classrooms, World: Blending Disparate Theories For United Language Education Practices, Masatoshi Sato, Steven L. Thorne, Marije Michel, Theodora Alexopoulou, John Hellermann
World Languages and Literatures Faculty Publications and Presentations
With a forward‐looking and problem‐solving mindset, this article aims to combine theoretical knowledge and empirical evidence from different schools of thought in the field of second language (L2) learning and teaching—namely, instructed second language acquisition, generative linguistics, and an ecological perspective that includes multiple frameworks. Acknowledging numerous fundamental differences in our theoretical and methodological perspectives on how to conduct research, we are united on two fronts: First, we believe that researchers with differing theoretical commitments can and should work together to advance L2 research. Second, differing theoretical beliefs are potentially of limited relevance to those who will implement our pedagogical …
Rising From The Ashes: Reading Impacts And The Effects Of Recovery Educational Services Following A Major Natural Disaster, Tiffanie Lousia Lambert
Rising From The Ashes: Reading Impacts And The Effects Of Recovery Educational Services Following A Major Natural Disaster, Tiffanie Lousia Lambert
Educational Leadership Professional Doctorate Dissertations
This Improvement Science Dissertation examined solutions to improving literacy outcomes for students in an elementary school that experienced a wildfire during the pandemic. School data revealed lagging reading growth among students displaced by the wildfire despite educational recovery efforts. A root cause analysis to understand students' limited reading recovery led to more global concerns about school-wide literacy programming and the limited use of evidence- based approaches. School-wide data revealed that fewer than 30% of students in the school met literacy benchmarks since the wildfire. Though the fires disproportionally impacted low-income neighborhoods with higher representation of English Learners and students receiving …
Aquatic Invasive Species Survey And Treatment On Lake Umatilla And Lake Celilo 2023-2024 Report, Garbiel E. Campbell, Jacob Rose
Aquatic Invasive Species Survey And Treatment On Lake Umatilla And Lake Celilo 2023-2024 Report, Garbiel E. Campbell, Jacob Rose
Center for Lakes and Reservoirs Publications and Presentations
Flowering Rush (Butomus umbellatus) is an invasive aquatic plant in the Pacific Northwest that threatens salmon habitat. The Center for Lakes and Reservoirs staff surveyed for this and other aquatic species from 2023 and 2024 in the Columbia River in Lake Umatilla and Lake Celilo. This document summarizes their survey efforts including their protocols, data, and small-scale removal efforts.
The Petrology Of The Ozerki Meteorite Constrained By Electron Backscatter Diffraction And X-Ray Computed Tomography, Alice Macente, Luke Daly, Sammy Griffin, Maria Gritsevich, Jarmo Moilanen, Josh Franz Einsle, Patrick Trimby, Chris Mulcahy, Jonathan Moffat, Alexander M. Ruzicka
The Petrology Of The Ozerki Meteorite Constrained By Electron Backscatter Diffraction And X-Ray Computed Tomography, Alice Macente, Luke Daly, Sammy Griffin, Maria Gritsevich, Jarmo Moilanen, Josh Franz Einsle, Patrick Trimby, Chris Mulcahy, Jonathan Moffat, Alexander M. Ruzicka
Geology Faculty Publications and Presentations
Combining electron backscatter diffraction (EBSD) with X-ray computed tomography (XCT) offers a comprehensive approach to investigate shock deformation and rock texture in meteorites, yet such integration remains uncommon. In this study, we demonstrate the synergistic potential of XCT and EBSD in revealing deformation metrics, thereby enhancing our understanding of petrofabric strength and shock-induced deformation. Our analysis focuses on the Ozerki (L6, S4/5, W0) meteorite fall, which was instrumentally observed on June 21, 2018, and subsequently recovered by the Ural's branch of the Russian Fireball Network (UrFU) recovery expedition a few days later. The trajectory analysis conducted by the Finnish Fireball …
Global Patterns Of Coseismic Landslide Runout Mobility Differ From Aseismic Landslide Trends, Alex R. R. Grant, Natalie K. Culhane
Global Patterns Of Coseismic Landslide Runout Mobility Differ From Aseismic Landslide Trends, Alex R. R. Grant, Natalie K. Culhane
Geology Faculty Publications and Presentations
Coseismic landslides significantly contribute to human and economic losses during and immediately following earthquakes, yet very little data on the runout of such landslides exist. While well-established behavior of aseismic (e.g., hydrologically triggered) landslide runout mobility suggests strong correlation between landslide size and mobility, limited studies of coseismic landslide runout find conflicting mobility trends. We present a global dataset of runout lengths produced from a new automated method for estimating landslide runout, developed and validated using 1726 manually mapped landslides from five unique earthquakes. We then apply the automated runout tool to 23 global earthquake-induced landslide inventories, producing a compiled …
Historicity And Axiology: Temporal Implications For Axiology, Bennett Gilbert
Historicity And Axiology: Temporal Implications For Axiology, Bennett Gilbert
History Faculty Publications and Presentations
To develop the axiology of moral (or ethical) values, phenomenological analysis must look at temporality in a way that is unfamiliar to it. This way is through knowledge and experience of the actual historical past, from which it has been separated by the Heideggerian conception of historicity and its classical Husserlian analysis of time consciousness. The development of historical studies helps to make this possible. A simple sample model of the diachronesis of the awareness of ethical significance, value, and obligation is presented. It moves the analysis from a presentist focus to the field of experience in which subjects develop …
Review: Dielectric Barrier Discharge Plasma Actuators For In-Flight Applications, Sabeel Saleem Mohammed
Review: Dielectric Barrier Discharge Plasma Actuators For In-Flight Applications, Sabeel Saleem Mohammed
Anthós
Dielectric barrier discharge (DBD) is a phenomenon observed when high voltage is passed through a dielectric barrier at high frequencies. Current DBD plasma actuators (PAs) excel at laminar fluid boundary layer control but suffer from limited momentum flux and fluid mechanic inefficiencies. In this article, Mohammed analyzes previous discourse on DBD PAs and offers directions for future research and potential DBD PA applications. Previous work on DBD PAs documented thrust generation at high voltages and frequencies, thrust in varying fluid compositions, and vortex generation. However, certain arrangements hinder flow magnitudes, limiting the use of multiple DBD PAs in close proximity. …
Improving Student Support On A Decentralized Campus, Delaney Ybarra, Andrea Garrity, Erica L. Wagner
Improving Student Support On A Decentralized Campus, Delaney Ybarra, Andrea Garrity, Erica L. Wagner
Office of Academic Affairs Publications
Project management has been a key tool in many industries, such as technology and construction, yet it remains underutilized in the higher education sector. In 2013, Portland State University’s Office of Student Success adopted a project management framework to improve student outcomes. This article describes how in using project management we developed a pilot program that helped administer hardship funds to students, what the outcomes were, and how it advanced the project across a decentralized landscape.
Elements Of Social Capital And Counterspace Processes Contribute To Undergraduate Stem Student Development Of A Sense Of Belonging, Mackenzie J. Gray, Jasmine N. Yacobian, Erin Shortlidge
Elements Of Social Capital And Counterspace Processes Contribute To Undergraduate Stem Student Development Of A Sense Of Belonging, Mackenzie J. Gray, Jasmine N. Yacobian, Erin Shortlidge
Biology Faculty Publications and Presentations
Having a sense of belonging can promote persistence in the STEM fields, but less is known about what it means to develop that sense of belonging. To investigate this phenomenon, we conducted semi‐structured interviews with a cohort of STEM students (n = 10) nearing graduation at an urban university regarding their sense of belonging and qualitatively coded the interviews using thematic analysis. Results revealed that all interviewed students clearly articulated feelings of belonging, making them an ideal population from which to learn more. We applied two frameworks to guide our understanding of what factors promoted the development of a sense …
Drta: Dynamic Reward Scaling For Reinforcement Learning In Time Series Anomaly Detection, Bahareh Golchin, Banafsheh Rekabdar, Kunpeng Liu
Drta: Dynamic Reward Scaling For Reinforcement Learning In Time Series Anomaly Detection, Bahareh Golchin, Banafsheh Rekabdar, Kunpeng Liu
Computer Science Faculty Publications and Presentations
Anomaly detection in time series data is important for applications in finance, healthcare, sensor networks, and industrial monitoring. Traditional methods usually struggle with limited labeled data, high false-positive rates, and difficulty generalizing to novel anomaly types. To overcome these challenges, we propose a reinforcement learning-based framework that integrates dynamic reward shaping, Variational Autoencoder (VAE), and active learning, called DRTA. Our method uses an adaptive reward mechanism that balances exploration and exploitation by dynamically scaling the effect of VAE-based reconstruction error and classification rewards. This approach enables the agent to detect anomalies effectively in low-label systems while maintaining high precision and …
Scitopic: Enhancing Topic Discovery In Scientific Literature Through Advanced Llm, Pengjiang Li, Zaitian Wang, Xinhao Zhang, Ran Zhang, Lu Jiang, Pengfei Wang, Yuanchun Zhou
Scitopic: Enhancing Topic Discovery In Scientific Literature Through Advanced Llm, Pengjiang Li, Zaitian Wang, Xinhao Zhang, Ran Zhang, Lu Jiang, Pengfei Wang, Yuanchun Zhou
Computer Science Faculty Publications and Presentations
Topic discovery in scientific literature provides valuable insights for researchers to identify emerging trends and explore new avenues for investigation, facilitating easier scientific information retrieval. Many machine learning methods, particularly deep embedding techniques, have been applied to discover research topics. However, most existing topic discovery methods rely on word embedding to capture the semantics and lack a comprehensive understanding of scientific publications, struggling with complex, high-dimensional text relationships. Inspired by the exceptional comprehension of textual information by large language models (LLMs), we propose an advanced topic discovery method enhanced by LLMs to improve scientific topic identification, namely SciTopic. Specifically, we …
The Stochastic Occupation Kernel (Sock) Method For Learning Stochastic Differential Equations, M. L. Wells, Kamel Lahouel, Bruno Jedynak
The Stochastic Occupation Kernel (Sock) Method For Learning Stochastic Differential Equations, M. L. Wells, Kamel Lahouel, Bruno Jedynak
Mathematics and Statistics Faculty Publications and Presentations
We present a novel kernel-based method for learning multivariate stochastic differential equations (SDEs). The method follows a two-step procedure: we first estimate the drift term function, then the (matrix-valued) diffusion function given the drift. Occupation kernels are integral functionals on a reproducing kernel Hilbert space (RKHS) that aggregate information over a trajectory. Our approach leverages vector-valued occupation kernels for estimating the drift component of the stochastic process. For diffusion estimation, we extend this framework by introducing operator-valued occupation kernels, enabling the estimation of an auxiliary matrix-valued function as a positive semi-definite operator, from which we readily derive the diffusion estimate. …
Optical Coherence Tomography Harmonization With Anatomy-Guided Latent Metric Schrödinger Bridges, Shuwen Wei, Blake E. Dewey, Samuel W. Remedios, Bruno Jedynak, Shimeng Wang, Peter Calabresi, Shiv Saidha, Aaron Carass, Multiple Additional Authors
Optical Coherence Tomography Harmonization With Anatomy-Guided Latent Metric Schrödinger Bridges, Shuwen Wei, Blake E. Dewey, Samuel W. Remedios, Bruno Jedynak, Shimeng Wang, Peter Calabresi, Shiv Saidha, Aaron Carass, Multiple Additional Authors
Mathematics and Statistics Faculty Publications and Presentations
Medical image harmonization aims to reduce the differences in appearance caused by scanner hardware variations to allow for consistent and reliable comparisons across devices. Harmonization based on paired images from different devices has limited applicability in real-world clinical settings. On the other hand, unpaired harmonization typically does not guarantee anatomy consistency, which is problematic because anatomical information preservation is paramount. The Schrödinger bridge framework has achieved state-of-the-art style transfer performance with natural images by matching distributions of unpaired images, but this approach can also introduce anatomy changes when applied to medical images. We show that such changes occur because the …
Momentum Transport In Heterogeneous Forest Canopies, Hawwa Kadum, Ryan Scott, Sarah E. Smith, Marc Calaf, Raul Bayoan Cal
Momentum Transport In Heterogeneous Forest Canopies, Hawwa Kadum, Ryan Scott, Sarah E. Smith, Marc Calaf, Raul Bayoan Cal
Mechanical and Materials Engineering Faculty Publications and Presentations
This study investigates the impact of spatial heterogeneity on momentum transport within forest canopies through wind tunnel experiments using 1:200 scale forest models. The models, crafted from 10 Pores Per Inch reticulated foam, emulate a leaf area index of 5.3 and include alternating patches and gaps of various sizes. Statistical results of the mean velocity profiles and velocity standard deviations show that the canopies develop a mixing layer. By employing lacunarity analysis to quantify spatial heterogeneity, we establish that the heterogeneity scale effectively represents variations in canopy height. The success of the lacunarity analysis as a metric is particularly noteworthy, …
Effects Of The Upwind Spanwise Heterogeneous Terrain On The Wind Resource Distribution, Haosen H.A. Xu, Tianxiang Yu, Raúl Bayoán Cal, Xiaowei Zhu
Effects Of The Upwind Spanwise Heterogeneous Terrain On The Wind Resource Distribution, Haosen H.A. Xu, Tianxiang Yu, Raúl Bayoán Cal, Xiaowei Zhu
Mechanical and Materials Engineering Faculty Publications and Presentations
Wind energy has become increasingly crucial among renewable energy resources, and as the prerequisite for effective wind energy utilization, accurate wind resource assessments are hence prominent. Topography significantly affects near-surface wind fields and is thus an essential factor to be considered for wind resource assessment. However, few studies have addressed the wind resource distribution downwind of spanwise-heterogeneous terrains, which are frequently encountered in both natural and urban environments. To fill this gap, large eddy simulations were performed to investigate wind distributions over a uniform terrain downwind of terrains featuring spanwise-alternating strips of low and high surface roughness, and the high …
Electronics Hardware Assembly And Pcb Design For Lv3.1 Rocket And Cubesat Systems, Shaelin Olton
Electronics Hardware Assembly And Pcb Design For Lv3.1 Rocket And Cubesat Systems, Shaelin Olton
Maseeh Summer Undergraduate Research Experience
The Portland State Aerospace Society (PSAS) develops open-source rockets and CubeSats for research and education. This work involved electronics projects across multiple active systems, from assembling hardware for the LV3.1 rocket to redesigning PCBs for CubeSat testing equipment and lab instruments. The Roll Control System (RCS) boards for LV3.1 were populated using surface-mount technology (SMT) assembly techniques. The Card Debug Board was redesigned to troubleshoot various cards within the "flat-sat" engineering model of the most recent CubeSat iteration. This work involved assembling the electronics hardware for LV3.1, the most recent rocket model in development. Much of the initial work focused …
Solving Trail-Following Tasks Using Recurrent And Spiking Recurrent Neural Networks In A Reinforcement Learning Environment, Kieran Mckenna
Solving Trail-Following Tasks Using Recurrent And Spiking Recurrent Neural Networks In A Reinforcement Learning Environment, Kieran Mckenna
Maseeh Summer Undergraduate Research Experience
Neural networks are computational models inspired by biological neurons. In this project, recurrent neural networks (RNNs) and spiking recurrent neural networks (SRNNs) were used to solve the Santa Fe Trail problem, a classic machine learning challenge. The goal of this project was to compare how these two kinds of neural networks learned in a reinforcement learning environment and how they performed when evaluated on classic trails. SRNNs not only perform better on trail-solving tasks than traditional RNNs, but they may potentially be more energy efficient. The event driven nature of spiking neural networks enables more efficient computation on neuromorphic hardware, …
Lift Force Measurements And Laser-Based Position Tracking On A Maglev Vehicle, Abigail Jolene Chable
Lift Force Measurements And Laser-Based Position Tracking On A Maglev Vehicle, Abigail Jolene Chable
Maseeh Summer Undergraduate Research Experience
Magnetic levitation (maglev) vehicles are transportation systems that float above a track using magnetic forces rather than traditional wheels This eliminates physical contact, reducing friction and enabling efficient, high-speed travel. A specific form of maglev, the Electrodynamic Wheel, uses wheels with embedded permanent magnets that rotate above a conductive aluminum track. As the wheels spin, their moving magnetic fields induce eddy currents in the track. These currents create opposing magnetic fields, producing both lift and drag. In this project, the EDW maglev platform consists of four brushless DC motor–driven wheels mounted on a small vehicle chassis designed to levitate above …
Statistical Analysis Of Atomic Crystal Structures In Highly Disordered Materials Using Python, Sabeel Saleem Mohammed
Statistical Analysis Of Atomic Crystal Structures In Highly Disordered Materials Using Python, Sabeel Saleem Mohammed
Maseeh Summer Undergraduate Research Experience
This python tool statistically analyzes the crystal structure properties of highly disordered materials by parsing an atomic coordinate file and identifying local polyhedra, then classifying them based on neighboring atom composition and geometry and calculating detailed structural statistics. This tool was applied to AgSbTe2 to correlate its lattice structure properties with its thermal conductivity. This tool provides the framework for linking atomic-scale disorder to material properties.
Hyper-Gravity Model Construction For Soil Behavior Under Cone Penetration Tests, Brandon Auyeung
Hyper-Gravity Model Construction For Soil Behavior Under Cone Penetration Tests, Brandon Auyeung
Maseeh Summer Undergraduate Research Experience
Modeling of soil at full scale is often impractical and expensive. Centrifuge tests allow for hyper-gravity conditions where scaling laws allow for model behavior to capture full scale behavior. Centrifuges allow models to constructed and tested with faster turnarounds than full scale experimentation. Cone penetration tests (CPT) – a common geotechnical site investigation method – were preformed with centrifuge modeling to improve interpretation of CPT data for a larger range of soils. Large-scale centrifuge testing with CPT of known initial conditions allows for research on non-standard soils. Hyper-gravity effects of centrifuge tests allow for complex, cost-effective geotechnical models. The CGM …
A Systematic Study On Urban Form Influence On Particulate Matter Dispersion: A Quic-Based Analysis Of Portland Neighborhoods, Jurr Sterling
A Systematic Study On Urban Form Influence On Particulate Matter Dispersion: A Quic-Based Analysis Of Portland Neighborhoods, Jurr Sterling
Maseeh Summer Undergraduate Research Experience
PM2.5 are a class of paricle that are a indicator of overall air quality. they are small enough to be absorbed directly into the blood stream, and can lead to many chronic health conditions with enough exposure. this researches goal is to use simulation to see how the shape and layout of citties effects on the dispesion of PM2.5. a number of factors were found to increase public safety, but further analysis is recomended.
Lv 3.1, Jacob Lutz
Lv 3.1, Jacob Lutz
Maseeh Summer Undergraduate Research Experience
The LV 3 rocket was designed over a number of years with a variety of different modules. There does not exhist a full integrated system. In this work, I worked to combine a number of the modules to have a more complete rocket.
Zephyr Rtos Integration On The Nxp Mcxn947 For Oresat Programming, Blen Ermias
Zephyr Rtos Integration On The Nxp Mcxn947 For Oresat Programming, Blen Ermias
Maseeh Summer Undergraduate Research Experience
The objective of this work is to implement and test the Zephyr RTOS on the NXP MCXN947 board with debugger support, then integrate the MCU into OreSat protocards to program and develop applications for OreSat1. Zephyr is a Soft real time operating system, open-source, designed for embedded devices. OreSat is a fully open-source CubeSat project. A CubeSat is a standardized, modular satellite with a compact box-shaped design. The basic unit, called a 1U CubeSat, measure 10 x 10 x 10 cm. Zephyr RTOS can be utilized to program and debug this board. A board directory for the breakout board has …