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Robogestdb, Sriparvathi Shaji Bhattathiri, Behnam Kazempour, Ehsan Rashedi, Michael E. Kuhl Oct 2026

Robogestdb, Sriparvathi Shaji Bhattathiri, Behnam Kazempour, Ehsan Rashedi, Michael E. Kuhl

Data

RoboGestDB is a multi-modal (RGB-D) dataset of 15 gestures designed for communication between humans and autonomous mobile robots (AMRs) in industrial environments such as warehouses. The release includes 54,000 gesture instances from 50 participants, with each gesture captured simultaneously as an RGB image, a depth image, a 3-second RGB video, and a 3-second depth video using three synchronized Intel RealSense D435 cameras. The gesture set spans four functional categories: signaling human movement intent, issuing AMR motion commands, emergency override controls, and bidirectional human-robot acknowledgments. Recordings were collected under a full factorial design varying interaction distance (3 m, 7 m), lighting …

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Essential Fluids With Matlab And Octave - Part 2 (Application), Panchapakesan Venkataraman Oct 2026

Essential Fluids With Matlab And Octave - Part 2 (Application), Panchapakesan Venkataraman

Open Access Books by RIT Staff and Faculty

This books continues from Essential Fluids with MATLAB and Octave (Part 1), , which is a free, open access, eBook that can be downloaded from the download page. The reader is encouraged to acquire the book as it will be referenced for figures, equations, and examples in Part 2. The reader is also encouraged to visit the prerequisites and information about fluid mechanics found in Chapters 1, 2, and 3 as they are not included in Part 2.

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One Land, “Different Owners”: Theoretical Explanations Of Communal Conflicts In Nigeria, Chukwudi G. Njoku Sep 2026

One Land, “Different Owners”: Theoretical Explanations Of Communal Conflicts In Nigeria, Chukwudi G. Njoku

Journal of Peace, Conflict, and Security Studies

Communal conflicts are prevalent in Nigeria, with thousands of fatalities recorded. Literature suggests that an overwhelming percentage of these conflicts are land ownership related. Through a systematic review of literature and an analysis of conflict data, this study provides further understanding of the role of land ownership and competition in the occurrence and lethality of communal conflicts. It argues that land competition, more than other socio-economic factors is the key driver of communal conflicts in Nigeria. The findings from the analyses are explained with three theories – the tragedy of the commons which proved that the conflicts are triggered by …

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Access In Teaching Stem Subjects To The Blind, Ashley E. Neybert Sep 2026

Access In Teaching Stem Subjects To The Blind, Ashley E. Neybert

Journal of Science Education for Students with Disabilities

There are still many gaps in the literature regarding the difficulties faced by instructors of students who are blind and low vision and who teach Science, Technology, Engineering, and Math (STEM) subjects. We surveyed 26 K-12 STEM teachers about accessible materials they are aware of versus which accessible materials they use in their classrooms, their thoughts on how common challenges identified in the extent literature affect them in their teaching, and their perspective on how much extra time may be required for blind and low vision students (if any) to effectively learn STEM subjects.

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Greennet: Ai-Driven Routing Simulator For Sustainable Internet Energy Optimization, Olta Zagraxha Sep 2026

Greennet: Ai-Driven Routing Simulator For Sustainable Internet Energy Optimization, Olta Zagraxha

Theses

Reducing the energy consumption of communication networks while maintaining reliable service is an important challenge in sustainable computing. This capstone presents GreenNet, a simulation and evaluation framework designed to investigate whether energy-aware network control can reduce estimated energy consumption without unacceptable degradation in Quality of Service (QoS). GreenNet combines a graph-based network simulator, configurable traffic scenarios, and a web-based interface for examining network behavior and comparing control strategies. Three approaches are evaluated: an All-On baseline that keeps all links active, a rule-based heuristic that selectively deactivates links, and a hybrid controller based on Proximal Policy Optimization (PPO), whose proposed actions …

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Predictive Modeling For Traffic Accident Severity Using Machine Learning, Ahmad Bin Eid Sep 2026

Predictive Modeling For Traffic Accident Severity Using Machine Learning, Ahmad Bin Eid

Theses

Road traffic accidents remain a persistent public safety challenge, responsible for over 1.3 million deaths annually according to the World Health Organization. While considerable effort has gone into understanding accident patterns, predicting the severity of an accident before or immediately after it occurs remains a difficult problem — particularly when the underlying data is messy, imbalanced, and largely categorical in nature. This study applies three supervised machine learning classification algorithms — Logistic Regression, Random Forest, and Gradient Boosting — to predict the severity of road traffic accidents using a dataset of 12,316 records collected by the Addis Ababa Sub-city Police …

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Workload-Aware Performance Prediction And Data Movement For Data-Intensive Computing, Kevin Assogba Sep 2026

Workload-Aware Performance Prediction And Data Movement For Data-Intensive Computing, Kevin Assogba

Theses

Data-intensive workloads in high-performance computing and artificial intelligence move massive volumes of data across deep memory and storage hierarchies, often spending more time moving data than computing on it. Their access patterns, data-sharing relationships, and computational graph properties are largely determined by descriptors known to the application before execution. However, general-purpose runtimes treat this structure as opaque, and the resulting gap between workload behavior and runtime decisions accounts for a substantial fraction of their execution time. Despite advances in performance modeling and data-movement systems, this structure remains underexploited. Schedulers, caches, and I/O paths provision resources conservatively, prediction models are rarely …

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A Bibliometric And Descriptive Analysis Of The Disciplinary Affiliations Of Research About Students With Disabilities In College-Level Science Education, Tongriang N. Daspan M.Ed, Aaron C. Wenger Phd, Brandy Pleasants Phd Aug 2026

A Bibliometric And Descriptive Analysis Of The Disciplinary Affiliations Of Research About Students With Disabilities In College-Level Science Education, Tongriang N. Daspan M.Ed, Aaron C. Wenger Phd, Brandy Pleasants Phd

Journal of Science Education for Students with Disabilities

Despite the global emphasis on equity and the need for inclusive science education, students with disabilities (SwDs) encounter persistent barriers in college-level science learning environments. While prior research has explored isolated challenges faced by SwDs, few studies have examined how these challenges vary across science disciplines. Yet, science education research is often situated within distinct disciplinary traditions, such as biology education research or geoscience education research, known collectively as Discipline-Based Education Research (DBER). Understanding the disciplinary distribution of research on SwDs is essential to identifying gaps and fostering cross-disciplinary learning. This study maps trends and patterns in the disciplinary affiliations …

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Zineth, Colin Wilcox Aug 2026

Zineth, Colin Wilcox

Theses

This thesis asks whether a brand can generate real engagement without surrendering to an algorithm, and whether web design can recover the color, mystery, and sense of discovery it traded away as the internet corporatized. Daily internet use has risen every year on record, yet the spaces users inhabit have flattened into grey buttons and endless feeds. This question is answered through Zineth, a hybrid brand universe told across three coordinated forms: a Risograph-printed zine, a dense and layered website, and limited clothing drops. The zine operates as a key. Codes printed in its pages unlock gated areas of the …

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Combined Effects Of Space-Relevant Thermal & Radiation Stress On Wide-Gap Mixed-Halide Perovskite Solar Cells, Veran Stanek Aug 2026

Combined Effects Of Space-Relevant Thermal & Radiation Stress On Wide-Gap Mixed-Halide Perovskite Solar Cells, Veran Stanek

Theses

Mixed-halide wide-band gap perovskites are attractive for space power due to their high open-circuit voltages and compatibility with tandem device architectures, but their response to combined orbital stressors remains under-explored. Here, we study 1.86 eV band gap all-inorganic CsPbI2Br solar cells across a space-relevant thermal window of -80°C to +100°C before and after 1.0 M eV proton irradiation. n-i-p devices exhibit notable radiation tolerance retaining approximately 60% of initial power conversion efficiency (PCE) upon irradiation with a fluence of 5 × 10^13 cm^−2. Temperature-dependent hyperspectral photoluminescence imaging and spectroscopy uncover a reversible low-temperature emissive heterogeneity in the perovskite absorber, manifested …

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A Large-Scale Annotated Flight Time-Series Dataset And Geospatial Post-Flight Analysis Tools For Ngafid, Roman Kozulia Aug 2026

A Large-Scale Annotated Flight Time-Series Dataset And Geospatial Post-Flight Analysis Tools For Ngafid, Roman Kozulia

Theses

This work presents three contributions to the National General Aviation Flight Information Database (NGAFID): a maintenance-linked flight dataset forpredictivemaintenanceresearch, anaviationchartprocessingservice, and an interactive geospatial heat map for post-flight event analysis. The first contribution is a maintenance-linked flight dataset for predic- tive maintenance and prognostics research in general aviation. The dataset contains approximately 100,000 non-simulated maintenance work orders and more than a million multivariate flight recordings extracted from NGAFID. Eachflightisassociatedwithmaintenancerecordsandlabeledaspre-maintenance, day-of-maintenance, or post-maintenance. Flights are exported as one-hertz sensor time series with flight-phase annotations, while a clustering pipeline groups technician-written maintenance records into event categories. To our knowledge, thisisthelargestpubliclyavailablegeneralaviationflightdataset linked to …

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Lost In Translation: Quantifying Political Sociolect Divergence And Testing Llm Reliability As Political Interpreters, Daniel J. Corcoran Aug 2026

Lost In Translation: Quantifying Political Sociolect Divergence And Testing Llm Reliability As Political Interpreters, Daniel J. Corcoran

Theses

In the United States political sphere, growing polarization between Democrats and Republicans, particularly their more ideologically extreme wings, has given rise to distinct English-adjacent languages, shaped by social tendencies and referred to as “sociolects”. These sociolects offer a new avenue to analyze and further quantify growing polarization, and as Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) become increasingly embedded in political and social analysis, understanding their depth of political reasoning, biases, and classification behavior has become imperative. In this study, we sourced comment data from the CNN, Fox, and MSNBC YouTube channels, spanning from 2020 through 2024, trained …

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Hybrid Photonic–Electronic Neuromorphic Integrated Circuits, Lilian Neim Aug 2026

Hybrid Photonic–Electronic Neuromorphic Integrated Circuits, Lilian Neim

Theses

Photonic neural networks use integrated photonic circuits to perform neural network operations with high bandwidth and the potential for energy-efficient computation. In these systems, optical device responses can represent weights, and wavelength division multiplexing enables multiple wavelength channels to be processed in parallel within the same waveguide. However, scalable photonic neural network hardware needs weights that can be programmed, stored, and read reliably. Many current approaches require continuous electrical or thermal tuning to hold the optical state. This dissertation addresses this challenge by developing a hybrid photonic-electronic approach to non-volatile electro-optic memory. Here, we design and demonstrate a non-volatile electro-optic …

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Investigation Of Applying Machine Learning For Thermal Transport Phenomena, Ayush Jha Aug 2026

Investigation Of Applying Machine Learning For Thermal Transport Phenomena, Ayush Jha

Theses

Electronic cooling is essential for maintaining optimal performance during complex computation tasks. Computational simulations have become a key tool to assess performance under various operating conditions. However, computational modeling involves a lengthy process to reach the final solution. The present work introduces a point-based neural network model to generate instant predictions of temperature for various heat sink configurations. A design of experiments methodology was utilized to define different heatsink designs, which were simulated using OpenFOAM. The training data included fin length, fin width, thermal conductivity, and Cartesian coordinates of point clouds. PyTorch was enabled with a fully connected neural network …

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Elimination Of Object Jittering Via Impostor Rendering With Gpu Emulated Doubles, James Govan Moir Iv Aug 2026

Elimination Of Object Jittering Via Impostor Rendering With Gpu Emulated Doubles, James Govan Moir Iv

Theses

Object jittering is an issue that arises when rendering objects at large distances from the scene's origin. This challenge arises in software that focuses on rendering realistically scaled planetary systems and games which simulate large open world environments. While there are several techniques in common use that aim to manage jittering, they come with performance tradeoffs. We propose a new technique that combines GPU based emulated double arithmetic with impostor rendering. Our technique aims to eliminate object jittering while maintaining reasonable performance.

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Navigating Errors: Voice Assistants And Aging Users, Bea Marithe V. Pulido Aug 2026

Navigating Errors: Voice Assistants And Aging Users, Bea Marithe V. Pulido

Theses

This study examined how age relates to usability, cognitive load, and affect when using voice-user interfaces (VUIs). VUIs such as Siri, Alexa, and Google Home are increasingly common and allow users to complete tasks through voice commands. While these systems can be convenient and accessible, especially for older adults, they often provide brief or unclear feedback when errors occur, making it difficult for users to understand what went wrong and how to continue the interaction. The current study compared older and younger adults (n = 40) to examine group differences in perceived usability, cognitive load, and affective change during VUI …

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Metal-Assisted Chemical Etching For Heterogeneous Integration And Advanced Processing, Sami Znati Aug 2026

Metal-Assisted Chemical Etching For Heterogeneous Integration And Advanced Processing, Sami Znati

Theses

Emerging and existing technologies will require novel approaches to continue advances in development. Heterogeneous integration of next generation materials, such as 2-D materials and III-V semiconductors, onto existing platforms is a critical step to enabling new, better performing devices. Microtransfer printing (µTP) is a promising technique for integrating device coupons onto supportive platforms. InP coupons are integrated into mixed-dimensional structures by printing onto 2-D materials as part of an electronic device. Etching of next generation materials to define device structures is an integral part of any process. Catalytic wet etching is an alternative to dry etching that may offer improvements …

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Rebranding Architecture: Understanding Perception To Reinforce Professional Jurisdiction, Amber L. Whitaker Aug 2026

Rebranding Architecture: Understanding Perception To Reinforce Professional Jurisdiction, Amber L. Whitaker

Theses

What is the current perception of the architecture profession, and what is the perception that architects want others to have? In the marketing and communications profession, one might ask, what is the profession’s current brand, and how does that differ from the desired brand? From inconsistent state laws regarding architectural titles, to the potential federal reclassification of the profession, to non-architects’ common misconception that architects merely draw floorplans, the architecture profession is misunderstood, causing an image problem. Although architecture is one of the world’s oldest professions, this image problem often translates into deep misunderstanding of what architects do, ultimately affecting …

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Accelerometer-Based Longitudinal Center Of Gravity Estimation With Lateral Acceleration Compensation, John Wynne Aug 2026

Accelerometer-Based Longitudinal Center Of Gravity Estimation With Lateral Acceleration Compensation, John Wynne

Theses

Spatially separated accelerometers and measured rotational motion can enable estimation of an aircraft’s longitudinal center-of-gravity (CG) location. Because the unrestricted rigid-body governing equations form an underdetermined system, the problem is reduced by assuming known lateral and vertical CG coordinates. The resulting estimator uses the lateral acceleration equation, where sensitivity to longitudinal CG is governed by the rotational excitation term 𝑀_21 = 𝑝𝑞 + 𝑟̇. Three representations of lateral acceleration at the CG are evaluated: a zero- acceleration assumption, a linear sideslip angle model, and a model based on sideslip angle and true airspeed squared. Each model is calibrated using known …

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Archaeal Signal Peptide Prediction Through Integration Of Proteomics And Machine Learning, Anjali Kaur Aug 2026

Archaeal Signal Peptide Prediction Through Integration Of Proteomics And Machine Learning, Anjali Kaur

Theses

Signal peptides are short N-terminal amino acid sequences that direct proteins through cellular secretion pathways and play an essential role in protein localization and function. Computational tools such as SignalP are widely used to predict signal peptides. However, prediction accuracy for archaeal proteins remains lower than for bacterial and eukaryotic proteins, likely because relatively few archaeal proteins were available for model training. The goal of this study was to determine whether expanding the archaeal training data used by SignalP 6.0 could improve archaeal signal peptide prediction. Archaeal proteomics datasets from five archaeal species were analyzed to identify proteins with experimentally …

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Evaluation Of Mechanical Properties And Seal Strength Of Medical Packaging Materials Before And After Supercritical Co₂ Sterilization, Camila Madriz Pizarro Aug 2026

Evaluation Of Mechanical Properties And Seal Strength Of Medical Packaging Materials Before And After Supercritical Co₂ Sterilization, Camila Madriz Pizarro

Theses

The sterilization of medical devices is critical in the prevention of infections in healthcare settings. Ethylene oxide (EtO), gamma irradiation, and steam sterilization have been the standard sterilization processes in healthcare settings, where the packaging system remains the most important barrier between the sterilized instrument/device. Safety concerns and regulatory pushback on conventional sterilization methods have pushed for further research on new sterilization techniques. Among the emerging sterilization technologies, one candidate that has garnered considerable attention is Supercritical CO2 sterilization. However, there is a lack of literature to support the compatibility between scCO2 and common medical packaging materials. The present study …

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Multi-Omic Analysis Of Molecular Changes In Haloferax Volcanii Biofilm Development, Joshua Koller Aug 2026

Multi-Omic Analysis Of Molecular Changes In Haloferax Volcanii Biofilm Development, Joshua Koller

Theses

Biofilms are the predominant lifestyle of microorganisms and offer protection against environmental stress. Archaeal biofilm development remains poorly understood relative to its bacterial counterpart, and the fundamental differences between these two domains prevent direct extrapolation from bacterial models. To address this gap, we used quantitative proteomics and transcriptomics to characterize the molecular changes accompanying biofilm formation and maturation in the model archaeon Haloferax volcanii. Protein and transcript abundance were measured across seven conditions spanning both lifestyles and multiple timepoints, with glycosylated proteoforms quantified as entities distinct from their unmodified counterparts, covering both established biofilm-associated structures and newly identified candidates. Known …

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An Adaptive Wide Current-Load Range Capacitor-Less Ldo With Ultra-Low Power, Will Wright Aug 2026

An Adaptive Wide Current-Load Range Capacitor-Less Ldo With Ultra-Low Power, Will Wright

Theses

Power management circuits are the foundation of any electrical system. They are designed to provide the current necessary for systems to function while keeping the supply voltage constant regardless of operating conditions or external disturbances such as changes in temperature. In modern Systems on Chips (SOC) targeted towards bio-sensing and Internet of Things (IoT) severe constraints appear on the systems level in terms of area and available power. External passive components are very expensive due to the premium of area and the circuits need to use as little power as possible to extend battery life. Traditional Low DropOut regulators (LDOs) …

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The Interactions That Shape Us: An Investigation Of The Supernova Engine’S Effect On Bbh Mergers, And Of Stellar Encounters In The Disks Of Active Galactic Nuclei, Zoe A. Rosenberg Aug 2026

The Interactions That Shape Us: An Investigation Of The Supernova Engine’S Effect On Bbh Mergers, And Of Stellar Encounters In The Disks Of Active Galactic Nuclei, Zoe A. Rosenberg

Theses

Mergers and other close interactions between astrophysical objects such as black holes and stars are powerful and energetic occurrences, capable of creating heavy elements, forming intriguing remnants, and shaping the populations of stars and compact objects around them. In this thesis, we describe two studies which examine two types of close gravitational events: isolated binary black hole mergers and dynamic stellar interactions in a dense environment. For our first study, we investigate how modifying the speed of convection in the engine behind core-collapse supernova explosions affects the population of merging binary black holes. To get an accurate picture of this …

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Impact Of Chiral Chain Conformations On The Self-Assembly Of Helical Polymers, Michael J. Grant Aug 2026

Impact Of Chiral Chain Conformations On The Self-Assembly Of Helical Polymers, Michael J. Grant

Theses

Polymers are a soft material with diverse applications across a spectrum of technologies including, but not limited to, packaging, drug-delivery, optics, lithography and templating. This ubiquity stems from over a century of in-depth theoretical and experimental investigations relating polymer size, stiffness and architecture to their emergent material properties. Interestingly, unlike small organic molecules where solution behavior is predominantly a function of hydrophobicity, in polymers, adjusting the aforementioned features can have a dramatic impact on their interactions with neighboring molecules. In turn, this allows for a tunable parameter space enabling the ability to achieve specific engineering goals. Yet, while the impact …

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Design And Verification Of A Reconfigurable Cryptographic Hardware Accelerator, Nicholas Merante Aug 2026

Design And Verification Of A Reconfigurable Cryptographic Hardware Accelerator, Nicholas Merante

Theses

Cryptographic operations are used throughout computing systems to protect data confidentiality and integrity. Although software implementations provide flexibility, dedicated hardware can offer more predictable execution time and reduce the processing burden placed on a general-purpose processor. This thesis presents the design and verification of a Reconfigurable Cryptographic Hardware Accelerator (RCHA) that integrates AES-128, ChaCha20, SHA-256, and BLAKE2s within a single Verilog/SystemVerilog design. A top-level interface shared by the four cores manages algorithm selection, inputs, outputs, status, protocol errors, cycle measurement, and known-answer self-tests. Verification combined primitive-level tests, integrated UVM regressions, randomized stimulus, directed coverage tests, and OpenSSL-based C++ reference models …

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Asynchronous Methods For Reducing Dynamic Power In Sparse Systems, Braley Lachner Aug 2026

Asynchronous Methods For Reducing Dynamic Power In Sparse Systems, Braley Lachner

Theses

While a strong history of computer development has maximized architecture performance, modern computing is fundamentally constrained by thermal limits and power consumption. This is especially true in power sensitive edge applications, which often have low activity. Asynchronous architectures offer a pathway to take advantage of sparsity within hardware to drastically reduce dynamic power through fine-grain selective activation of only necessary hardware. Despite these advantages, the semiconductor industry relies heavily on Electronic Design Automation (EDA) toolchains, which have been developed with many synchronous assumptions. The traditional overhead and strict incompatibility with standard EDA toolchains have limited adoption of asynchronous technologies in …

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Design Of A Continuum Robot Test Bed Utilizing Model-Free Sliding Mode Control, Joseph Paul Streib Aug 2026

Design Of A Continuum Robot Test Bed Utilizing Model-Free Sliding Mode Control, Joseph Paul Streib

Theses

Continuum robots are a class of continually deformable robots inspired by snakes and tentacles that are commonly used in medical, search and rescue, and exploration applications. The robots are highly nonlinear and difficult to accurately model and control. Precise control of the pose of a continuum robot is typically reliant upon a system model. This work introduces a novel model free control algorithm for continuum robots that only relies upon the robot’s position in task space. The derived controller is built upon the foundation of a preexisting model free sliding mode controller and the q-state parameterized piecewise constant curvature kinematic …

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Uvm Verification Of A 4-Stage Asynchronous Risc-V Processor, Yashaswini Suresha Aug 2026

Uvm Verification Of A 4-Stage Asynchronous Risc-V Processor, Yashaswini Suresha

Theses

Functional verification often takes more effort than designing the system itself, especially when the design departs from the synchronous, globally clocked style that verification tools assume. Asynchronous or clockless circuits are an example of this. They use local request and acknowledge handshaking instead of a global clock, which reduces dynamic power and eliminates clock-distribution and skew problems. However, this also means that standard verification methods that rely on a single periodic clock no longer apply. This thesis introduces a constrained-random, coverage-driven verification environment for a four-stage asynchronous RISC-V processor. The environment is built in SystemVerilog using the Universal Verification Methodology …

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Engineering Materials Function With Reconfigurable Colloids, Laura Galeano Tirado Aug 2026

Engineering Materials Function With Reconfigurable Colloids, Laura Galeano Tirado

Theses

The function of a material is defined not only by its chemical composition, but also by the structural organization of its constituents across multiple length scales, from the architecture of individual building blocks to their collective arrangement. Developing strategies to access, engineer, and reconfigure that structure on demand represents a central opportunity in the design of adaptive materials. Here, we present a thermoresponsive polymer-colloid platform that enables high-precision tuning of colloidal structures using only thermal stimuli. Rather than adsorbing to the surface, our polymers diffuse inside organosilica colloids to reshape them from within, allowing continuous modulation of their size, shape, …

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