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Arcsecond-Level Pointing Accuracy In A Cubesat: Development And Verification Of The High-Precision Pointing System For The Cubespec Mission, Leonardo Peri

Small Satellite Conference

Mission and objectives 

CubeSpec is a 12U CubeSat mission designed to demonstrate high-resolution stellar spectroscopy from a small, low-cost space platform. 

Its scientific objectives require the payload line-of-sight to remain stable within a few arcseconds. This is beyond the capability of conventional CubeSat Attitude Determination & Control Systems (ADCS). 

To meet this challenge, CubeSpec uses a dual-stage pointing architecture: the spacecraft ADCS provides coarse body pointing, while a High-Precision Pointing Platform applies fast, precise corrections directly to the payload line-of-sight.

Snack Protocol For Reliable High-Throughput Data Transfer On Mtu-Constrained Low-Cost Uhf Radios, Samantha Mallari, Dennis Sarsozo, Miguel Nunes

Small Satellite Conference

• Student CubeSat missions using sub-$100 UHF radios are constrained by small packet sizes, making standard protocols (e.g., TCP, CFDP) too overhead-intensive for payload downlinks.  
• We developed a Selective Negative Acknowledgement (SNACK)-based protocol for the Artemis CubeSat Kit bus to support reliable 160 × 120 LWIR thermal image transmission for the CubeSats for Climate Change Monitoring (C3M) mission  
• A 45-byte SNACK bitmap acknowledges up to 360 packet fragments, minimizing retransmission overhead.  
• Field tests from 5 m to 1.6 km achieved 72.2 kbps peak throughput and ≥98.7% final data integrity.

Autonomous Microelectronics See Payload For Validating Terrestrial Predictions In Space, Michael A. Blacconiere, Isaac Hudson, John W. Burgoon, Terrance Sacks, Spencer Westfall, Sajal Islam, Davidson Juhke, George Randel, Jared Harvey, Merek Chertkow, Daniel Loveless

Small Satellite Conference

The radiation environment in space is complex and time-varying, causing major risks for microelectronic applications. Terrestrial radiation sources are used to characterize devices before missions to predict in-orbit error rates. However, these predictions are rarely validated in deployment. The payload, designed by IU CREATE and The Radiation Team, the IUB-SAT-1, integrates IU’s RadFX-IC and commercial SRAMs with well-characterized terrestrial radiation responses into a modular payload to collect on-orbit radiation-response data. Results will refine radiation error-rate models and improves confidence in deploying advanced microelectronics to radiation-rich space environments.

Bit-Flip Sensitivity And Selective Fp32 Protection For Onboard Neural Networks In Flight Software: In-Place Secded Healing Of An Fp32 Weight Buffer Inside Nasa Cfs, Ryan Goodman, Carson Cramer, Braden Eichmeier, Emily Gerber, Christopher Roscoe

Small Satellite Conference

Smallsat missions increasingly deploy neural networks on COTS processors. In orbit, a charged particle striking such a device can flip a single bit of memory, a single event upset (SEU). An upset in a network weight raises no fault condition: the network continues to run, returns incorrect values, and the control loop downstream acts on them. 

The standard cFS response to memory corruption is process restart, which interrupts service and discards runtime state.

In-Transit Debris Remediation: Dual-Use Logistics For Sustainable Cislunar Smallsat Constellations, Wanjiku Chebet Kanjumba

Small Satellite Conference

A Debris Crisis Meets A Logistics Boom: Low- and high-Earth orbit keep accumulating debris faster than the atmosphere can clear it, even as NASA's Artemis and CLPS programs establish routine trans-lunar traffic. The 2009 Iridium-Cosmos collision and later anti-satellite tests proved that single fragmentation events can irreversibly degrade critical orbital shells, raising the specter of Kessler Syndrome. 

• 46,600+ objects tracked on orbit today, with ~130 million sub-cm fragments (ESA, 2025)
• $500K-$2M cost per kilogram for dedicated ADR, fiscally intractable at system scale
• 5-10 / yr large objects must be removed to stabilize LEO (Liou & Johnson)

The Unit-Economics Problem: Purpose-built …

Numerical Characterization Of Phase Coherence In Distributed Smallsat Sar Interferometry, Cameron Kaminski

Small Satellite Conference

Distributed SmallSat SAR requires independent spacecraft to maintain phase coherence over long integration times. This work presents a Monte Carlo simulation that combines manufacturer-derived oscillator phase noise, spacecraft thermal dynamics, and orbital perturbations to evaluate passive coherence limits. The results show that oscillator quality alone is insufficient; differential thermal-state evolution becomes a dominant driver of long-duration coherence performance.

F Prime To Flight Faster: Hardware-In-The-Loop Continuous Integration For Accelerated Cubesat Development, Nate Gay, Saidi Adams, Michael Pham

Small Satellite Conference

Flight software teams iterate quickly in development and then slow down at integration, because the software must be validated against real hardware that is itself still changing. 

Bench testing is manual, intermittent, and happens late. Defects surface days after the commit that caused them, once the context is gone and the change has been built on.

Promoting Assured Formation Flight Autonomy Onboard Resource Constrained Systems, Ryan Johnson, Maggie Michelsen, Jackson Gardner, Mario Harper, Charles Swenson, Jackson Kulik, Shawn Jones

Small Satellite Conference

Autonomously determining fuel-optimal, formation-keeping trajectories for small spacecraft operating in formation flight is often limited by available processing power. Because SmallSat missions are constrained by size, weight, and power (SWaP), field-programmable gate arrays (FPGAs) are an attractive option for onboard computing. Traditional formation-keeping relies on convex optimization to solve for fuel-optimal burns and burn times; however, implementing these solvers on FPGAs is challenging due to limited board resources.

To address the need for fast, reliable trajectory planning onboard space vehicles, we investigate leveraging machine learning to reduce computational cost for real-time, onboard execution. We propose using a deep neural network …

Experimental Investigation On Nanocellulose And Aluminium-Oxide Hybrid Nanofluid As A New Coolant For Radiator, D. Ramasamy, Sivaraos Sivaraos, K. Kadirgama

The Nexus of Sustainability and Energy Technology Journal

Improved efficiency leads to more compact design of the radiator. The research is conducted to prove that addition of Aluminium Oxide and nanocellulose originating from plant base with varying concentration provides a better thermal efficiency compared to usage of distilled water as radiator coolant. The objective of the research is to improve a new radiator coolant based on combination of aluminium oxide and nanocellulose with readily available coolants which is Ethylene Glycol and to investigate the erosion of nanocellulose coolant on automotive radiator. The scope of the research are the nanocellulose dispersed in base fluid which is from 60:40, (EG:W). …

Synergistic Reinforcement Of Lignin–Chitosan Hydrogels Using Vanillin As A Sustainable Green Crosslinker, Moses Ayitey-Adjin Jr., Mohammad Jahid Hasan, Jeremy Erb, Kishore Chand, Garry S. Crosson, Kenya Crosson, Esteban Ureña-Benavides, Erick Salvador Vasquez-Guardado

Chemical and Materials Engineering Faculty Publications

While bio-based hydrogels derived from lignin and chitosan are promising sustainable adsorbents, their practical application is hindered by poor mechanical stability. This study addresses this limitation by synthesizing lignin-chitosan hydrogels using vanillin as a green, bio-derived crosslinker via a facile solution-casting method. The formation of imine (Schiff base) linkages between the aldehyde groups of vanillin and the primary amines of chitosan was confirmed by FTIR spectroscopy (C = N stretching at ~ 1602 cm^− 1). SEM and TGA results demonstrated a reduction in the pore size of the crosslinked hydrogel and an enhanced residual thermal mass. Rheological and …

Ensuring Safety In Battery Management Systems: A Control Barrier Function Approach, Magdalena Kossek

Electronic Theses and Dissertations

Safe and efficient operation of batteries is paramount to extending their lifespan and ensuring reliability in battery management systems. This work presents a new approach for maximizing safety and performance of lithium-ion batteries in a variety of applications with a view towards efficiency in computation. The aim is to maximize a battery’s output (its power, speed of charging, and overall efficiency) while preserving its longevity and ensuring operational safety. This challenge is tackled by developing a novel control algorithm for advanced lithium-ion battery management leveraging control barrier functions (CBFs) to ensure safe and efficient operation during fast charging and discharging. …

Compact 1 Ghz Electron Paramagnetic Resonance Spectrometers For Preclinical Imaging Studies, Tanden A. Hovey

Electronic Theses and Dissertations

Magnetic resonance is one of the most generally useful scientific techniques. New horizons of understanding are revealed as technological advances make possible explorations of nuclear spins and electron spins at higher and lower magnetic fields and electromagnetic frequencies. While the greatest current effort is on ever higher magnetic fields and microwave frequencies, both in nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR), the Eaton lab focusses on developing high signal-to-noise performance EPR at low microwave frequencies. EPR provides information about O2, pH, viscosity, glutathione concentrations, and reactive oxygen species in living organisms that MRI cannot. To yield clinically or …

Physics-Informed Neural Networks For Early-Warning Fatigue Damage Detection And Localization In A Steel Railway Bridge Using Sparse Ambient Monitoring Data, Arslan Qayyum Khan, Ali Raza, Amorn Pimanmas

Civil Engineering Faculty Publications

Aging steel railway bridges accumulate fatigue damage at locations that periodic inspection rarely reaches and that conventional vibration monitoring detects only after severe stiffness loss. Existing physics-informed learning methods for structural health monitoring are mostly validated on synthetic data and single snapshots, leaving their performance on continuous field data with verified damage untested. This study develops a strain-based monitoring approach, supported by a physics-informed neural network (PINN), for early detection of fatigue damage in a steel railway bridge. The measured strain is compensated for temperature using a model calibrated on healthy-state data, the resulting anomaly is tracked through a statistical …

Optimization Of Gas Consumption, Cost And Production Rate For Computerized Numerical Control Oxy-Acetylene Flame Cutters, Eustace K. William, Simon I. Marandu, Enock W. Nshama

Tanzania Journal of Science

This study examined the impact of flame cutting parameters (i.e., cutting speed, plate thickness and nozzle diameter) on oxy-acetylene gas consumption, cost and production rate. A full factorial design of experiments was used to generate 27 experiments, which were conducted using a CNC flame cutter. The analysis of variance (ANOVA) method was used to determine significant process parameters, followed by regression analysis using the MINITAB ® software. The technique for order preference by similarity to ideal solutions (TOPSIS) was used to determine the optimal cutting parameters for minimizing the consumption and cost estimation of oxy- acetylene gas and maximizing the …

Mitigation Of Power Quality Problems In Songwe Power Distribution Line Using A Static Distribution Compensator, James Mhame, Emmanuel Matee, Francis Mwasilu, Sophia D. Kigodi

Tanzania Journal of Science

The Songwe electrical distribution system is prone to severe voltage drops that lead to frequent power outages in long feeders, light flickering, and the multi-operation of equipment and other appliances. The voltage at the switching station averaged 27.6 kV, 28.21 kV, and 25.79 kV in the years 2023, 2022, and 2021, respectively. Additionally, the maximum was 32.2 kV, below the nominal voltage, and the feeder has a very low power factor, which drops to 0.6 during peak hours. Currently, TANESCO uses automatic voltage regulators connected to a distant location from the switching station to two feeders with critical voltage drop …

Creating An Updated Risc-V Platform With Hypervisor Support, Carter A. Glatt

Masters Theses

Virtualization has become an important methodology for implementing security and efficiency in embedded systems design. Virtualized environments provide flexibility and scalability of user-space environments, as hardware capabilities allow for multiple environments to run concurrently using the same hardware without impacting system performance or cost metrics. The ability to implement virtualized environments is fundamentally based on the instruction set architecture (ISA), which implements the necessary commands to facilitate the interface between physical hardware and virtual components.

RISC-V is an open-source ISA that can be used to generate platforms that support virtualization through the use of the H-Extension ISA. Previous research into …

Advancing The Oresat Adcs: Design & Implementation Of An Open-Source Reaction Wheel System, Chris Kane-Pardy

Dissertations and Theses

Reaction wheels provide the primary means of precision attitude control for many CubeSat attitude determination and control systems by exchanging angular momentum with the spacecraft body. As the Portland State Aerospace Society's OreSat spacecraft transitioned from a 2U to a 3U configuration, the increased spacecraft inertia reduced the attitude control authority available from the legacy reaction wheel system. This thesis addresses that challenge through the redesign of the reaction wheel system and the development of a deterministic embedded controller and experimental framework for evaluating brushless motor commutation strategies under identical operating conditions.

The redesigned system combines an analytically sized flywheel, …

Engineering For Compromise, Ron Ross

Other Faculty Materials

Modern systems cannot credibly depend on every component, account, service, person, supplier, and supporting dependency remaining trustworthy secure throughout the system life cycle. Prevention-centered cybersecurity remains essential, but for mission-critical systems it is not a sufficient engineering strategy. This paper introduces the concept of Engineering for Compromise (EfC), a systems security engineering strategy that deliberately assumes selected system elements may fail, become malicious, lose integrity, or fall under adversary control and then asks whether the system can continue to prevent unacceptable loss. EfC separates component compromise, system compromise, and mission loss as distinct events and uses architecture to place barriers …

Research Status And Prospects Of Monitoring Technology For Large-Span Cable-Stayed Bridges Based On Machine Learning, Liu Guoliang, Liu Guokun, Yan Donghuang, Wang Wenxi, Wang Qishun

Journal of China & Foreign Highway

Machine learning and intelligent optimization algorithms have been increasingly applied to construction and health monitoring of long-span cable-stayed bridges. Based on the construction history of cable-stayed bridges both domestically and internationally, an overview of the origin and development process of cable-stayed bridges was provided. Firstly, from the perspective of the entire life cycle of bridges, bridge monitoring was divided into construction period monitoring and operation period monitoring. The applications of mainstream construction monitoring methods in large cable-stayed bridge projects were elaborated, and the specific composition of bridge health monitoring systems was clarified. Secondly, the basic principles of several machine learning …

Explaining Safety Challenges And Their Relationships Using A Qualitative-Fuzzy Dematel Approach: A Surface Mine Case Study, Neda Molamehdizadeh, Gholam Hossein Halvani, Hossein Ebrahimi, Ali Asghar Farshad, Seyedeh Melika Kharghani Moghadam, Saber Moradi Hanifi

Journal of Sustainable Mining

Safety in surface mining operations is a major organizational management challenge due to the inherently hazardous nature of mining activities. This study aimed to explain safety challenges and identify their interrelationships through a combined qualitative-fuzzy DEMATEL approach in a surface mine in Yazd Province, Iran. The research was carried out in two sequential phases: first, key safety challenges were identified through qualitative interviews with employees, supervisors, and safety experts; then, the relationships among these challenges were analyzed and prioritized using the fuzzy DEMATEL technique. The main challenges identified included insufficient specialized training, inadequate safety equipment, weak organizational safety culture, and …

Correlation And Redundancy Analysis Of Statistical Features For Permanent Magnet Synchronous Motor Fault Detection, Ibrahim Muhammad, Benjamin Olabisi Akinloye

Mansoura Engineering Journal

Feature selection plays a critical role in designing efficient and interpretable condition monitoring frameworks for electrical drives. In this paper, a correlation analysis of statistical and spectral features is performed for Permanent Magnet Synchronous Motor (PMSM) fault detection in naval windlass systems. Using both simulated data from a MATLAB/Simulink model and real shipboard current signals acquired from five Nigerian Navy vessels over one-month monitoring periods, higher-order statistical moments (Mean, Variance, Standard Deviation, Skewness, Kurtosis) and the Fault Severity Index (FSI) were computed alongside Total Harmonic Distortion (THD). Pearson correlation coefficients were employed to quantify feature relationships under healthy and faulty …

Sensitivity Study Regarding Abs Formulation On Hybrid Rocket Performance, Ava T. Wilkey, Ryan J. Thibaudeau, Stephen A. Whitmore

Mechanical and Aerospace Engineering Student Publications and Presentations

Acrylonitrile butadiene styrene (ABS) has emerged as a widely adopted solid fuel for hybrid rocket propulsion due to its compatibility with fused deposition modeling and favorable regression characteristics. As a terpolymer, however, ABS monomer mass fractions vary across commercial sources, introducing thermochemical variability that is rarely accounted for in propulsion modeling. This study presents a sensitivity analysis examining how compositional variability among ten commercially available ABS feedstock propagates into hybrid rocket performance predictions. Each source was characterized using bomb calorimetry and Fourier-transform infrared spectroscopy to derive source-specific constituent mass fractions and enthalpies of formation, which were supplied to NASA’s Chemical …

Deciphering The Rules Of Odor-Driven Learning In The Fruit Fly Olfactory System, Cole B. Hanan

McKelvey School of Engineering Graduate Student Theses & Dissertations

Odorant identity is encoded by patterns of activity across olfactory receptor neurons (ORNs) and their corresponding glomeruli in the antennal lobe (AL). An odorant's valence can be modified by experience, allowing animals to associate previously neutral odors with appetitive or aversive outcomes. However, some odors appear resistant to such reassignment, and the factors determining whether an odor can acquire learned valence and whether that association generalizes to chemically related odors remain poorly understood. This thesis uses Drosophila melanogaster to address this question using a fully automated proboscis extension reflex (PER) conditioning assay. Odorants are presented via a computer-controlled olfactometer, reward …

A Functional Ultrasound Imaging (Fusi) Pipeline For Investigating Brain-Wide Hemodynamics During Torpor-Like Hypothermia, Owen J. Culver

McKelvey School of Engineering Graduate Student Theses & Dissertations

Torpor is a regulated state of reduced metabolic demand that enables animals to conserve energy under unfavorable environmental conditions. The controlled induction of a similar state, termed synthetic torpor, has potential applications in ischemic protection, organ preservation, cancer treatment, radiation protection, and long-term spaceflight. Although neuronal populations within the preoptic hypothalamus have been shown to initiate hypothermic and hypometabolic states, the distributed cerebral hemodynamic dynamics accompanying their induction and maintenance remain poorly understood. In this thesis, we developed an accessible functional ultrasound imaging (fUSI) acquisition and analysis pipeline and applied it to investigate cerebral hemodynamics during chemogenetic activation of the …

Atmospheric Gas Dynamics Of Mars: A Multi-Sensor Remote Sensing Approach For Fine Vertical, Global, And Event-Driven Analysis, Frányerson R. López Ochoa

Discovery Day - Daytona Beach

To provide precise vertical resolution and worldwide coverage across all seasons and altitudes, this study integrated nadir, limb, occultation, and general circulation model (GCM) measurements in a thorough remote sensing examination of the Martian atmosphere. The study examined the density and temperature structures of major atmospheric gases, mainly carbon dioxide (CO₂), molecular nitrogen (N₂), and argon (Ar), using mission datasets from the Mars Reconnaissance Orbiter (MRO), Mars Express (MEX), and the ExoMars Trace Gas Orbiter (TGO). It also assessed retrieval uncertainties resulting from dust, ice clouds, and sensor limitations. The study concluded that, though valuable, single-geometry observation techniques are unable …

Learning Casual Structures From Aviation Accident Narratives Using Natural Language Processing And Graph-Based Knowledge Representation, Stephanie Ramsey, Katherine Hoffsetz, Madeline Gorman, Logan Lambeth

Discovery Day - Daytona Beach

Understanding the complex causal relationships underlying aviation accidents is critical for improving safety and preventing future incidents. However, much of this information exists in unstructured narrative reports, making large-scale analysis difficult. This project aims to automatically extract and model causal chains from National Transportation Safety Board (NTSB) accident narratives using a combination of traditional natural language processing (NLP) techniques, transformer-based architectures, and graph-based knowledge representation. Traditional NLP methods, including named entity recognition, dependency parsing, and rule-based pattern matching, will be used to identify structured cause–effect relationships. These approaches will be compared with transformer-based models, including a lightweight encoder for classification …

Small Unmanned Aerial Systems-Assisted Airport Obstruction And Perimeter Inspections, Christopher Candler, Christopher M. Saylor, Marcus Thompson, Tejash Zala

Discovery Day - Daytona Beach

Airports are required to maintain obstruction-free airspace surfaces under 14 CFR Part 77; however, vegetation and perimeter obstruction management is often conducted through periodic ground inspections and contractor-led surveys that provide only snapshot conditions. These approaches may delay detection of encroachments into approach, transitional, horizontal, or primary surfaces, increasing the risk of operational impacts and reactive mitigation. This study proposes an FAA-aligned framework integrating small unmanned aircraft systems (sUAS) into obstruction monitoring workflows through recurring, repeatable perimeter inspections. High-resolution optical and LiDAR sensors, combined with RTK/PPK-enabled GNSS correction, generate centimeter-level geospatial datasets that are processed into canopy height models. These …

Assured Learning For Intelligent Dynamic Systems: A Metacognitive Framework, Rocio Jado Puente, Michael Budihartono, Eduar Cabrera Gaspar

Discovery Day - Daytona Beach

Assured Learning for Intelligent Dynamic Systems: A Metacognitive Framework   Advanced Air Mobility systems, including electric vertical takeoff and landing (eVTOL) aircraft and autonomous drone platforms, require increasingly high levels of autonomy and safety. Meeting these demands calls for intelligent systems that can adapt in real time to uncertainty and changing environmental conditions. However, traditional certification methods are not well suited to rigorously measure or quantitatively verify the performance of online learning components because of their non-deterministic behavior.   This work introduces a novel runtime safety assurance method based on a metacognitive architecture (MCA) that supervises and regulates learning-enabled components. The approach …

Is Lane Splitting/Lane Filtering Safe Or Dangerous?, Anastacio Doucas Nolas, Sierra Juliano, Shawn De La Osa, Kimberly R. Williamson

Discovery Day - Daytona Beach

This course-based research project examines whether lane splitting and lane filtering are inherently dangerous or whether their safety depends on human factors and traffic conditions. Using published crash, behavioral, and policy literature, the project compares how these motorcycle maneuvers affect riders and other road users across different roadway environments. The analysis distinguishes lane splitting, which occurs between moving lanes of traffic, from lane filtering, which typically occurs at low speeds in stopped or slow traffic queues. Findings suggest that safety cannot be explained by the maneuver alone. Instead, outcomes are shaped by speed differential, driver perception failures, rider workload, intersection …

Applying The Hfacs Framework: A Case Study Of Air Florida Flight 90, Ashley Perez-Galvan, Cenk Altinkum, Ryan Hunt

Discovery Day - Daytona Beach

Applying the HFACS Framework: A Case Study of Air Florida Flight 90 Abstract   This study applies the Human Factors Analysis and Classification System (HFACS), a widely used safety framework for identifying human and organizational contributors to accidents to examine the crash of Air Florida Flight 90 crash on January 13, 1982. The accident occurred shortly after takeoff from Washington National Airport during severe winter weather, when the aircraft failed to gain sufficient lift and impacted a bridge before entering the Potomac River.   The goal this analysis is to understand how multiple layers of human and organizational factors contributed to this …