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Articles 6751 - 6780 of 196021
Full-Text Articles in Engineering
Mems 4110: Dbf Banner, Pachie Ackerman-Bennett, Joshua Paul Laue, Nazifa Younus
Mems 4110: Dbf Banner, Pachie Ackerman-Bennett, Joshua Paul Laue, Nazifa Younus
Mechanical Engineering Design Project Class
The DBFBanner is a project made for the WashU Design / Build / Fly club. After interviewing DBF club president Sarah Donner, we interpreted the club’s needs as: (1) a banner that could achieve vertical stability in flight; (2) the banner could deploy and release remotely; (3) the banner and associated components were as light as possible. We went through several design iterations, including mathematical and CAD models, mockups, prototypes, and testing apparatus. Many designs were considered, including designs based on linear motion and collapsible trusses. We arrived at a design that used a servo motor to rotate a 3D-printed …
Mems 4110: Air Cannon Launcher Demo, Jackson Strauss, Avery Cohen, Wilson Gao, Jack Galloway
Mems 4110: Air Cannon Launcher Demo, Jackson Strauss, Avery Cohen, Wilson Gao, Jack Galloway
Mechanical Engineering Design Project Class
For our senior design class (MEMS 4110) at Washington University in St. Louis, we were tasked with creating a demonstration for the St. Louis Science Center that demonstrated an engineering principle or concept. The Science Center functions as a science-oriented museum and saw more than 600,000 visitors in 2024. For our demonstration, we wanted to showcase the principles of kinematic motion. Kinematic motion is study of the motion of objects without considering applied forces. Additionally, when the acceleration of an object is either zero or held constant, the trajectory path that the object follows can be described by a few …
Unhsc Performance Curve Calculator, Daniel Macadam
Unhsc Performance Curve Calculator, Daniel Macadam
UNH Stormwater Center
No abstract provided.
Deep-Learning Based Microstructure Reconstruction And Generation, Cameron J. Maloney, Lucas Taliaferro, Nina St. John
Deep-Learning Based Microstructure Reconstruction And Generation, Cameron J. Maloney, Lucas Taliaferro, Nina St. John
College of Engineering Summer Undergraduate Research Program
Microscopic imaging is essential to characterize multi-scale material behavior and understanding structure-property relationships. Recently our group developed a deep learning approach based on a Generative Adversarial Network (GAN) to reconstruct and artificially generate microstructures of strain-sensing nanomaterial networks based on microscope imagery. In this SURP project we would like to evaluate an alternative approach called diffusion to see if we can improve the quality of our results. Furthermore, we aim to test our approaches on a wider variety of materials, which will have different microstructures, to evaluate how versatile our models are.
Building Bridges, Bridging The Gap: Measuring Engineering Confidence Across Ses, Amori Waller
Building Bridges, Bridging The Gap: Measuring Engineering Confidence Across Ses, Amori Waller
College of Engineering Summer Undergraduate Research Program
Learning from failure is an essential component of both learning and practicing engineering. However, failure is often stigmatized and avoided in engineering education. This project aims to better understand how to support students throughout their engineering education to help them learn from their failures, rather than become frustrated or discouraged by them. The project will build on prior research in students’ responses to failure experiences to specifically analyze students who respond to failure in different ways and build on these experiences to help students in similar situations. During the SURP project, the student will use qualitative methods to analyze interview …
Safety-Critical Formation Control Of Non-Holonomic Multi-Robot Systems In Communication-Limited Environments, Logan Beard
Safety-Critical Formation Control Of Non-Holonomic Multi-Robot Systems In Communication-Limited Environments, Logan Beard
College of Engineering Summer Undergraduate Research Program
This project explores advanced methodologies for distributed planning, formation control, and coordination in heterogenous multi-agent robotic systems consisting of small mobile robots and nano unmanned aerial vehicles (UAVs). Leveraging decentralized control theories and optimization techniques, the research aims to develop robust algorithms for real-time collaborative task execution, efficient formation maintenance, and adaptive coordination strategies. Python and ROS will be used extensively to simulate, validate, and experimentally deploy distributed robotics algorithms. The student researcher significantly contributes to the theoretical and practical advancement of multi-agent system technologies.
Behind The Prompt: The Environmental Impact Of Llm Inference, Lucy Hegenderfer, Isaac Huang
Behind The Prompt: The Environmental Impact Of Llm Inference, Lucy Hegenderfer, Isaac Huang
College of Engineering Summer Undergraduate Research Program
As the size and demand for large language models (LLMs) increase, the environmental impact of computational inference often exceeds training; yet industry lacks a standardized method of calculating this expanding environmental footprint. Complexity arises with task-specific computational demands, infrastructure overhead, and various GPU architectures, making cross-model assessments burdensome. Combining environmental engineering and computer science principles by validating Jegham et al.’s meta-model, we predict the carbon emissions and water consumption during inference, providing metrics to raise user awareness of AI’s growing environmental footprint. Additional work supports integration into a multi-agent conversational system that encourages responsible scheduling and prompting, guiding the user …
Mixed Reality In Human–Robot Interaction For Collaborative Applications, Evan Reid, Caitlin Osorio
Mixed Reality In Human–Robot Interaction For Collaborative Applications, Evan Reid, Caitlin Osorio
College of Engineering Summer Undergraduate Research Program
This project explores the use of Extended Reality (XR) technologies to enhance human- robot interaction in industrial contexts. Building upon prior research in affective and cognitive state recognition during human-cobot collaboration, this study investigates how natural hand and head gestures, captured through Meta Quest passthrough mode, can be used to communicate human intent to a Universal Robotics e-Series collaborative robot. The XR system provides users with an immersive, real-world visual interface while tracking motion and position in real time. The captured gestures are interpreted through a custom software pipeline that integrates machine learning models and rule-based logic to trigger adaptive …
Constructing A High-Performance Iot Pipeline For Smart Manufacturing Environments, Seth Langel
Constructing A High-Performance Iot Pipeline For Smart Manufacturing Environments, Seth Langel
College of Engineering Summer Undergraduate Research Program
The Fourth Industrial Revolution, or Industry 4.0, integrates a range of advanced technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Cloud Computing, and Data Analytics to improve the efficiency, productivity, scalability, and security of modern manufacturing systems. Smart manufacturing leverages these technologies across various domains to enhance data-driven decision-making and quality control in production processes. In a smart manufacturing environment, heterogeneous IoT sensors interact with each other and control systems to automate real-time monitoring, analysis, and decision-making. This integration enables manufacturers to optimize production, quickly detect and address anomalies, reduce environmental impact, and adapt rapidly to changing …
Eggbeater Antenna Design 915 Mhz, Anshul Deshmukh
Eggbeater Antenna Design 915 Mhz, Anshul Deshmukh
College of Engineering Summer Undergraduate Research Program
The Sal-E cube sat mission that is planned for launch in 2026 includes a 902-928 MHz receiving module called the Space Quacker Advanced Development (SQUAD) module. The SQUAD module uses the LoRa modulation format for unlicensed uplink to the satellite using the 902-928 MHz Industrial, Scientific, and Medical (ISM) band. The goal of the SQUAD module is to demonstrate the link robustness of the LoRa communication standard to a low earth orbit (LEO) satellite using this ISM band. To demonstrate this communication link, a 902-928 MHz uplink ground station needs to be established at Cal Poly. The goal of this …
Ai-Driven Embedded Camera System For Real-Time Traffic Anomaly Detection, Isaac Pruett
Ai-Driven Embedded Camera System For Real-Time Traffic Anomaly Detection, Isaac Pruett
College of Engineering Summer Undergraduate Research Program
In this project, we will collaborate with Caltrans District 5 (covering San Luis Obispo County and surrounding regions) to develop a small, battery-powered, camera-based embedded system utilizing an NVIDIA Jetson board and neural networks to detect highway traffic anomalies. The device will analyze real-time traffic flow patterns and send alerts regarding detected anomalies. Unlike the stationary commercial camera systems currently in use, the proposed system offers increased mobility, affordability, and will give Caltrans engineers improved access over system outputs.
Analysis And Evaluation Of Backtracking Settings For Energy Yield Optimization At The Cal Poly Solar Farm, Kayla Go-Oco
Analysis And Evaluation Of Backtracking Settings For Energy Yield Optimization At The Cal Poly Solar Farm, Kayla Go-Oco
College of Engineering Summer Undergraduate Research Program
The Cal Poly Solar farm has been built as a single axis tracking facility with two different types of panels. Both conventional single cell solar panels and twin cell solar cells have been used in its construction. Twin Cell panels typically perform better than their conventional counterparts when shaded by other panels in the row in front of them in a fixed tilt system. However neither module performs well when even a small portion is shaded. This project will access the system API to access data for the field and process to determine the energy yield improvements that can be …
Exploring Impact Of Student’S Proximity To Summer Camp And Demographics On Their Interests In Engineering, Yamil Balcells
Exploring Impact Of Student’S Proximity To Summer Camp And Demographics On Their Interests In Engineering, Yamil Balcells
College of Engineering Summer Undergraduate Research Program
EPIC is a one-week Cal Poly program where middle-and high-school students explore engineering through hands-on projects in a university setting. In partnership with the Migrant Education Program (MEP), EPIC reserves spots for migratory students and provides bilingual counseling and support. These services ensure equitable access and a welcoming environment for students developing English proficiency.
Ai Agents For Search And Rescue (Ai4sar), Nathan Huang, Lakshana Viswa
Ai Agents For Search And Rescue (Ai4sar), Nathan Huang, Lakshana Viswa
College of Engineering Summer Undergraduate Research Program
The goal of this summer research activity is to expand the capabilities of a system developed in the larger AI in Search and Rescue project. This project supports volunteer organizations participating in the search for missing persons by providing a basic framework for the collection and organization of relevant information, augmented with specific components that utilize a variety of AI methods. The focus of the summer research will be on the development of agent components for selected roles and tasks in a search and rescue mission. The agents utilize generative AI methods such as Large Language Models (LLMs) to provide …
Stretchable Mechanoluminescent Devices For Energy Harvesting And Real-Time Force Sensing, Lucas Taliaferro, Phoebe Ong
Stretchable Mechanoluminescent Devices For Energy Harvesting And Real-Time Force Sensing, Lucas Taliaferro, Phoebe Ong
College of Engineering Summer Undergraduate Research Program
Our group has been developing a novel manufacturing technique to fabricate flexible sensing devices using electrostatic force. Previously, we focused on utilizing nanomaterials as the sensing materials to measure strains. Building on our experience with the manufacturing technique, we will move forward to incorporate other smart materials in the flexible device to achieve self-powered sensors. Besides, to better understand the fabricated material properties, we are interested in characterizing the microstructural behavior of the material networks via microscopic imaging and finite element simulations. The students will have the opportunity to closely work with Dr. Wang’s interdisciplinary research group.
Analyzing Wearable Sensor Data From Individuals Undergoing Motor And Neurological Rehabilitation, Nolan William Turk
Analyzing Wearable Sensor Data From Individuals Undergoing Motor And Neurological Rehabilitation, Nolan William Turk
College of Engineering Summer Undergraduate Research Program
An ongoing study funded by the National Science Foundation (NSF) is focused on developing computational models of rehabilitation for people post-stroke. Stroke affects around 800,000 people per year in the US, and often leaves people with limited motor (movement) and neurological (brain-based) capability. Wearable sensors may allow clinicians to better understand how these individuals recover, and to better design therapies and interventions. We are seeking students who can use existing software, and perhaps adapt the software to extract, analyze, and visualize detail from study participants. This project will involve with the Cal Poly PI, and collaborators from physical therapy. This …
Analyzing Wearable Sensor Data From Individuals Undergoing Motor And Neurological Rehabilitation, Carly Smith
Analyzing Wearable Sensor Data From Individuals Undergoing Motor And Neurological Rehabilitation, Carly Smith
College of Engineering Summer Undergraduate Research Program
An ongoing study funded by the National Science Foundation (NSF) is focused on developing computational models of rehabilitation for people post-stroke. Stroke affects around 800,000 people per year in the US, and often leaves people with limited motor (movement) and neurological (brain-based) capability. Wearable sensors may allow clinicians to better understand how these individuals recover, and to better design therapies and interventions. We are seeking students who can use existing software, and perhaps adapt the software to extract, analyze, and visualize detail from study participants. This project will involve with the Cal Poly PI, and collaborators from physical therapy. This …
Radiative Heat Transfer Using Spectrometers, Metztli Singha
Radiative Heat Transfer Using Spectrometers, Metztli Singha
College of Engineering Summer Undergraduate Research Program
Radiative heat transfer and the fundamental understanding of the electromagnetic spectrum, ranging from infrared to ultraviolet, are crucial topics for space environments and aerodynamic re-entry systems. The advancement of the aerospace curriculum in these areas will lay the cornerstone for undergraduate students focusing on experiential learning. A specific laboratory experiment involving black body radiation and modes of heat transfer, with a particular emphasis on radiation, will be scoped, designed, and fabricated during the SURP performance period. The outcomes of this work will standardize the introductory courses on heat transfer specific to aeronautics and astronautics concentrations, which is mainly lacking outside …
Experimental Study Of Flexible Wing Design For Low Subsonic Flow, Blake Shaffer, Timothy Barry
Experimental Study Of Flexible Wing Design For Low Subsonic Flow, Blake Shaffer, Timothy Barry
College of Engineering Summer Undergraduate Research Program
The aim of this project is to study experimentally the structural stability of highly flexible wings under low subsonic flow conditions. The experiments will be carried out at the low-speed wind tunnel in the Aerospace Engineering department. As part of this project, the student will design and build a variety of different flexible wing structures and test their performance in the wind tunnel--the experiments will involve pressure, deflection, and strain measurements. Both additively manufactured and built-up structures will be explored as part of this project. The project will also require the student to perform finite element simulations for the wing …
How Does User Control Reduce Irritation Of Mid-Roll Ads, Elijah Villanueva
How Does User Control Reduce Irritation Of Mid-Roll Ads, Elijah Villanueva
College of Engineering Summer Undergraduate Research Program
Large video platforms like YouTube and Twitch rely extensively on advertising for revenue. Often, they deploy mid-roll advertising: ads that play in the middle of video content, interrupting it. Such interruptions can irritate consumers significantly. This project primarily involves conducting user testing of an already-developed YouTube browser extension that that gives users some control over when mid-roll ads play. We hope to ascertain how effectively the design mitigates user irritation from mid-roll ads. Tasks will involve recruiting people into a laboratory setting where they will use the browser extension, interviewing them about their experience, and manually extracting themes from the …
Propeller Characterization Lab, Stefanos Rosenbaum
Propeller Characterization Lab, Stefanos Rosenbaum
College of Engineering Summer Undergraduate Research Program
This research focuses on creating an experiment to measure performance of an aircraft propeller on a specially designed stand. Results from the wind tunnel experiments measuring thrust, rotation speed and torque will enable students to create a database of propeller characteristics for use in aircraft design projects. Students in aerospace engineering are regularly assigned design projects powered by turboprop or propeller driven engines. There is not an easy way to verify design performance other than simplistic calculations or extrapolation of open-source wind tunnel data, and not a lot of data is available. Being able to correlate actual test data from …
Approximating The Maximum Weighted Independent Set Problem Empirically, Sue Sue
Approximating The Maximum Weighted Independent Set Problem Empirically, Sue Sue
College of Engineering Summer Undergraduate Research Program
In this project we investigate approximation algorithms for the maximum weighted independent set (MWIS) problem in random graphs that approximate real-world graphs, such as social networks. The problem involves finding a large collection of nodes in a network (vertices in a graph) such that no two nodes are directly connected to one another. Applications of the MWIS problem are broad and include clique-finding algorithms as well as the use of large independent sets in distributed algorithms. We build on prior work by the mentor with a SURP 2024 and senior project, in which preliminary findings suggested that a standard greedy …
15cm Gridded Ion Thruster, Arjan Reyes
15cm Gridded Ion Thruster, Arjan Reyes
College of Engineering Summer Undergraduate Research Program
This research focuses on optimizing the configuration of a 13cm ion thruster for long term efficiency. Ion thrusters produce thrust for spacecraft when they are in orbit. The thruster needs to be efficient enough to last for the lifetime of the spacecraft as well as through its deorbit procedure. Thruster efficiency is achieved through optimizing the distribution of the high velocity beam of charged particles at the exit that impacts fatigue patterns on voltage grids. The shape of the beam is determined by the placement of magnets on the thruster walls. An experiment to test configurations for increasing efficiency through …
Spacecraft Reaction Wheel Simulation Testbed, Shiva Pulmamidi, Daniel Kim
Spacecraft Reaction Wheel Simulation Testbed, Shiva Pulmamidi, Daniel Kim
College of Engineering Summer Undergraduate Research Program
There are three typical methods used to control the attitude (or orientation) of spacecraft in orbit. They are momentum exchange devices (reaction wheels and control moment gyroscopes), magnetic torquers, and thrusters (both cold and hot gas). The PolySim research group is currently developing a spacecraft attitude dynamics simulator utilizing reaction wheels. The simulator floats on a spherical air bearing and is balanced to accurately simulate the rotational motion of a spacecraft in orbit (not including the orbital motion). As a continuation of that project, we have completed the development of spacecraft attitude simulator using cold gas thrusters to control the …
Building Pathways To Computer Science Careers For Latinx Students Through Multilingual Collaborative Block-Based Programming, Valerie Ponce, Priscilla Garcia
Building Pathways To Computer Science Careers For Latinx Students Through Multilingual Collaborative Block-Based Programming, Valerie Ponce, Priscilla Garcia
College of Engineering Summer Undergraduate Research Program
The underrepresentation of Latinx students in computer science highlights the need for innovative and inclusive educational approaches. This project addresses challenges such as limited access to educational resources and the demand for multilingual learning tools by developing a co-located, collaborative, game-based programming environment. Designed for use on phones, tablets, and laptops, this tool supports English, Spanish, and Mixtec, facilitating broader engagement. By promoting peer collaboration and interactive learning, our approach challenges traditional notions of solitary programming and reinforces the idea that expertise is shared, fostering an inclusive and equitable learning environment.
Mastering Undergraduate Algorithms: Improving Problem-Solving Skills And Fluency Through Scaffolding Learning Modules, Anissa Soungpanya
Mastering Undergraduate Algorithms: Improving Problem-Solving Skills And Fluency Through Scaffolding Learning Modules, Anissa Soungpanya
College of Engineering Summer Undergraduate Research Program
The primary objective of the undergraduate algorithms course is to equip students with the ability to design and analyze algorithms, prove theorems about computation, and effectively communicate these algorithms and proofs to a human audience. In addition, the course aims to help students foster their fluency in the process of formulating and solving computational problems. Scaffolding exercises and activities that focus on these aspects could serve as useful learning tools in providing targeted feedback and helping students develop their confidence and fluency. To address the challenges that students encounter when solving algorithmic problems -- particularly in regard to problem decomposition …
Seismic Resilience Of Timber Structures, Mia Wootton, Allison Nocon, Mikayla Caruthers, Ava Fineza, Rebecca Slutsky, Min Thit Kant
Seismic Resilience Of Timber Structures, Mia Wootton, Allison Nocon, Mikayla Caruthers, Ava Fineza, Rebecca Slutsky, Min Thit Kant
College of Engineering Summer Undergraduate Research Program
Wood houses dominate the construction landscape in the United States (U.S.), with over 94% of new homes constructed in 2022 being wood framed. New Zealand shares a similar construction landscape, with building practices for wood houses like those in California. Nevertheless, the 2010-2011 Canterbury earthquake sequence damaged nearly three quarters of the housing stock in the region. A total of 150,000 homes were damaged, with about one fifth exceeding NZ$100,000 in damage. To assess the likelihood of economic losses of California’s timber houses, a shake table testing campaign is underway at the California Polytechnic State University Advanced Technology Laboratory in …
Reinforcement Learning For Autonomous Parking, Ravi Panchal
Reinforcement Learning For Autonomous Parking, Ravi Panchal
College of Engineering Summer Undergraduate Research Program
This research project proposes the development of an adaptive reinforcement learning (RL)-based parking system designed to handle complex parking maneuvers that are often unaddressed in existing research. Unlike previous works that focus on isolated maneuvers such as reverse parking or parallel parking, this work presents a flexible framework where multiple parking types (reverse, parallel, diagonal) are addressed through independent agents and then integrated into a cohesive system. The primary gap addressed by this work is the integration of diverse parking maneuvers into a unified RL framework with adaptability to dynamic and varied parking environments. Additionally, this project introduces curriculum learning …
A Novel Hybrid Re-Entrant Double Arrowhead With Active Link Auxetic Metamaterial: Finite Element Approach, April Nguyen
A Novel Hybrid Re-Entrant Double Arrowhead With Active Link Auxetic Metamaterial: Finite Element Approach, April Nguyen
College of Engineering Summer Undergraduate Research Program
Auxetic metamaterials are a category of material that exhibit a negative Poisson's ratio (NPR). NPR materials contract when compressed and expand when stretched. NPR properties are typically produced through a complex unit cell consisting of folds, internal angles, or other specially designed shapes with internal voids capable of collapsing in on themselves. Individual unit cells that display these properties are developed and stacked or layered in a repeating pattern such that a larger body can be manufactured, maintaining the same properties. NPR auxetic structures show either a stretch-dominated mechanism (SDM) or a bending-dominated mechanism (BDM). SDM-based NPR structures are favored …
Augmented Reality Application For Real-Time Coastal Data Visualization, Nithyasri Palanisamy
Augmented Reality Application For Real-Time Coastal Data Visualization, Nithyasri Palanisamy
College of Engineering Summer Undergraduate Research Program
This project aims to develop an Augmented Reality (AR) application that overlays real-time coastal environmental data onto physical landscapes when viewed through AR devices such as smartphones and mixed reality headsets. By integrating data from machine learning models, computer vision-based event detection, coastal sensors, and geospatial mapping technologies, the application will provide users with an immersive and interactive experience, enhancing their understanding of coastal dynamics and environmental changes. The application will focus on observing coastal phenomena such as rip currents, tracking endangered coastal species and marine mammals, monitoring crowd levels on beaches, etc. Data sources will include NOAA's National Data …