Engineering Commons^™

Photoproof: A Mobile Application For Verifying The Authenticity Of Images, Pruthviraj Urankar

Master's Projects

The easy access to artificial intelligence (AI) technologies, such as deepfakes and generative adversarial networks (GANs), has facilitated the creation of highly realistic artificial images, thereby undermining the authenticity of photos in today’s digital age. Misinformation and manipulation are key dangers to digital content due to this advancement. Therefore, the need for reliable methods of photo verification and authentication has become increasingly important. This report presents a decentralized iOS app that uses blockchain to ensure photo authenticity. The app leverages Ethereum smart contracts and cryptographic hashing to securely log image metadata. When a user takes a photo, the app hashes …

Optimizing Analytics Storage Strategies For Search Engines And Wiki Platforms, Sujith Kakarlapudi

Master's Projects

Modern search engines and wiki platforms generate vast quantities of user inter-
/="/">action data such as page views, edits, clicks, and session events. This data must be stored and aggregated efficiently to enable scalable analytics and responsive querying. Yioop, an open-source search engine framework, serves as our primary case study, processing millions of such events to power its indexing and recommendation features. This report explores a shift from the conventional database storage based model to a log based model, in order to improve scalability and write efficiency. A size-limited, append-only logging facility was provided to log analytics events: the …

Large Language Model Powered Etl Pipeline Development A Project Report, Aditya Chandras

Master's Projects

This projects discusses the use of Large language model to simplify and automate Extract, Transform, Loading (ETL) development. Data engineering tasks oUen need technical experDse, thereby challenging non-experts and even industry professionals for such Dme intensive operaDons. The project tackles these challenges by employing quanDzaDon of a base Lllama-2-7b-Chat model using QLora technique. The lowered precision of the base model allow further execuDon on a limited hardware resource. The project further performs Supervised fine-tuning trainer (SFT) to perform fine-tuning, specializing the model for generaDng script for ETL tasks. The fine-tuned model is evaluated through a series of micro and comprehensive …

Dynamic Pricing For Revenue Maximization In 5g Networks With Elastic Network Slicing And Reinforcement Learning, Naisheel Shah

Master's Projects

Network slicing is a concept that enables a diverse array of network applications with lots of unique service requirements. For the scope of this research, we delve into elastic network slicing, which has a potential benefit for both the providers and users through cost-effective resource utilization. Dynamic pricing of these slice resources is a method for operators to realize the balance of different types of network slices by implicitly communicating the current network state to slice users. We have designed a custom pricing scheme using Deep Reinforcement Learning for elastic network slices that maximizes the revenue of slice providers while …

Link Failure Localization In Hierarchical, Multidomain Optical Networks, Martin Mihailov Bojinov

Master's Projects

Optical networks transport data encoded on light signals over optical fiber cables. Individual optical networks are managed by domain administrators, such as service providers, vendors, or regional bodies. Multidomain optical networking explores the possibility of enabling seamless data transmission across domain boundaries. In this project, we explore how we can perform network monitoring in a hierarchical multidomain optical network while preserving domain security and autonomy. This is done by allocating dedicated monitoring trails across various broker abstractions of our network topologies. We propose three heuristic functions that expedite trail selection. Of the three heuristics, our least monitored algorithm performs the …

Suicidal Ideation Detection On Reddit Using Llm-Annotated Data And Graph Neural Networks, Ikbal Singh Gurdev Singh Dhanjal

Master's Projects

Suicide is the fourth leading cause of death among people aged 15-29. More than 720, 000 people commit suicide every year. During the COVID-19 pandemic, we saw an increase in people seeking out mental health support on anonymous forums like Reddit. These anonymous forums allow people to express their suicidal ideation without judgment and give them a support structure that not everyone has. The aim of this project is to detect suicidal ideation using Reddit. In this work, we propose SIRGEL (Suicidal Ideation on Reddit using Graph Embeddings and LLMs), a dual-pipeline approach that combines large language model (LLM)- based …

Transforming Chatbot Text: A Sequence-To-Sequence Approach To Human-Like Text Generation, Natesh Reddy

Master's Projects

With the advancements in Large Language Models (LLMs) such as ChatGPT, the boundary between text written by a human and that created by AI has become blurred. This poses a threat to systems designed to detect AI-generated content. In this work, we adopt a novel strategy to adversarially transform GPT-generated text using sequence-to-sequence (Seq2Seq) models, to make the text more human-like. We concentrate on improving GPT-generated sentences by including significant linguistic, structural, and semantic components that are typical of human-authored text. The goal is to then use this transformed data to train a more robust detection model. Our experiments show …

Framework For Identity Privacy Through Gender Based Skeletonization, Harrison Hwang

Master's Projects

The protection of one’s privacy and sensitive information is becoming increasingly difficult in the modern age full of surveillance and data collection. Through the use of image based object detection machine learning models trained for human and facial recognition, people can be identified and tracked to a terrifyingly accurate degree. On the other hand, the information present in surveillance media can play a key role in security and law enforcement. This presents a problem of how to preserve key information without compromising the privacy of any individuals present in the video. In this research project, Computer Vision techniques and a …

Effects Of Chain Length, Saturation, And Bases On Saponification, Sarah Fenik

Williams Honors College, Honors Research Projects

This project will analyze the effects of chain length and saturation of fatty acids on saponification processes, as well as the effects of the base used in the reaction. Stearic acid, lauric acid, and oleic acid will be used for the fatty acid comparisons, and sodium hydroxide and potassium hydroxide will be used for the base comparisons. Stearic acid is considered a long chain fatty acid, while lauric acid is considered a short chain fatty acid. Oleic acid is a monounsaturated fatty acid. Five soap products are be made: sodium stearate, sodium laurate, sodium oleate, potassium stearate, and potassium oleate. …

Anti-Icing Properties Of 3d-Printed Superhydrophobic Surfaces, Nathan Kling

Williams Honors College, Honors Research Projects

This project aims to investigate how textured microscopic surfaces can reduce ice adhesion, utilizing 3D-printed resin materials. By varying the size and shape of these surface imperfections, the research seeks to identify configurations that minimize ice formation and facilitate easier ice removal. The trapped air between the imperfections is expected to hinder water droplet adhesion, promoting detachment through gravity or motion. The study’s applications could extend to preventing icing on power lines, roads, and aircraft. Methodologically, the project will build on prior research, applying water to textured surfaces under controlled temperature conditions to assess ice formation and removal efficiency. Key …

Corrosion Of Pipes In Soil Under Cathodic Protection, Ashley Chow

Williams Honors College, Honors Research Projects

This research project focuses on understanding how various soil properties affect the corrosion of buried pipelines that are protected by cathodic protection (CP) systems. Specifically, the study seeks to evaluate key soil characteristics, including resistivity, moisture content, and pH levels to determine their influence on the efficiency of CP systems in mitigating corrosion. Through controlled laboratory experiments, carbon steel specimens were exposed to a range of simulated soil conditions to mimic real-world environments. Corrosion rates were assessed using advanced electrochemical techniques, such as linear polarization resistance (LPR) and Tafel slopes, along with traditional mass loss methods. The primary objectives of …

Prediction Of Glass Transition Temperature Of Polymers Using Structure-Based Models, Nicholas Wolfe

Williams Honors College, Honors Research Projects

The focus for this study is prediction of glass transition temperatures of polymers using machine learning models. The preprocessing of the data included the generation of descriptors, the scaling of the data, the principal component analysis for dimensionality reduction, and the clustering of the data. Three methods of property predictions were utilized including Linear Regression, Random Forest, and a Feedforward Neural Network. The dataset consisted of over 7000 polymers each with their respective glass transition temperatures. This study found that the Random Forest model returned the best results followed by the Feedforward Neural Network then the Linear Regression model. Each …

High Voltage Junction Box For Demonstrator Vehicle, Benjamin Lubowicki, Ryan Dorste

Williams Honors College, Honors Research Projects

Schaeffler, our industry sponsor for this project, is designing a battery pack for a demonstration vehicle that requires a high voltage junction box to route power to the vehicle. The project type is a unique design of a mechanical component, mechanism, and process. Our objective for this project is to assemble provided electro-mechanical components into an enclosure following a provided electrical diagram. The expected deliverables are the following: 3D CAD assembly of final product, FEA analysis of designed components, 2D print of final product, fabrication and assembly of designed parts, technical report documenting design process and installation. The skills required …

Qualitative Analysis Of Surface Modification On Wiffleball Aerodynamics, Cole Lanni

Williams Honors College, Honors Research Projects

This project investigated how surface modifications to a Wiffleball affect its aerodynamic behavior, particularly its vertical and horizontal movement when thrown. The study tested the hypothesis that altering surface texture through cutting or sanding would influence airflow and pressure differentials, thereby changing the ball's movement. Six ball conditions: including unmodified, sanded, and various cut patterns were tested using a pitching machine in a controlled indoor environment. Each variation was pitched ten times, and movement was analyzed through measurements of contact points on posterboards and performing statistical testing, specifically ANOVA with Post Hoc analysis. Results indicated that surface modifications significantly increased …

Design Of An Active-Control Pressure Regulator For A Rocket, Seth Arkwright

Williams Honors College, Honors Research Projects

An electronically actuated pressure-regulation valve and controller are necessary for maintaining pressure levels in a pressure-fed liquid-fueled rocket engine. Mechanical regulators are too heavy and have unacceptably high-pressure variation throughout the operation of a dynamic system like a rocket. Developing an electronic pressure regulator using a PID controller is a method by which a reliable, accurate, and lightweight flow regulator can be built for use on a rocket vehicle. This work will outline the development of flow simulations, PID controller, physical valve hardware, and initial testing.

Urotropine As A Corrosion Inhibitor In Steel Rebar: A Molecular Dynamics Study, Tyler Zadrozny

Williams Honors College, Honors Research Projects

This project investigates the behavior of corrosion in rebar, a critical component in infrastructure such as roads and skyscrapers. Corrosion of rebar can lead to structural instability, visible as cracks or pitting on the surface. The primary focus is on the potential of urotropine as a corrosion inhibitor. Urotropine, known for its ability to inhibit corrosion in mild steel in acidic environments, is hypothesized to be effective in preventing corrosion on rebar. To explore this, molecular dynamics simulations using LAMMPS were conducted, modeling urotropine molecules in an acidic solution (PH = 1) interacting with iron atoms, mimicking rebar. Simulations were …

Modeling The Thermodynamics Of Butadiene And Carbon Dioxide Coupling Reactions, Alexis Sarantos

Williams Honors College, Honors Research Projects

This project will analyze the synthesis reaction of ethenylated 𝛿-valerolactone (EVL), specifically to determine certain thermodynamic properties of EVL and its coproducts. The thermodynamic properties of the reaction products can then be utilized to make the development of a large-scale process simpler and safer. The properties that will be determined are the heats of formations, heat capacities, and changes in enthalpy caused by each product during the reaction, and these will be used to determine whether the energy produced by the reaction is sufficient to maintain formation of the desired product. Additionally, a process model of heat flows and energy …

Gamegpt, Elia Albaba, Andrew Markland

Williams Honors College, Honors Research Projects

GameGPT is a proof-of-concept project aimed to show how large language models (LLMs) can be used to enhance video games by allowing the user to have intelligent and adaptive interactions with non-playable characters (NPCs), each presenting their own personality, which adds aesthetics to the game. This was completed by using Groq Artificial Intelligence (AI) cloud-computing service to host the AI models to power the NPCs and engage with the user. Using AI to power NPC’s presents a way to lean away from traditional hard-coded and scripted dialogues, and strive towards intelligent and versatile conversations. GameGPT currently has 3 playable characters: …

Software Literacy In Construction, Aidan Cazares

Williams Honors College, Honors Research Projects

The construction industry increasingly relies on software like Bluebeam Revu for their quantity takeoff, document management, and collaboration needs. This project will outline pertinent information obtained through their Bluebeam professional training program and reflect it with a detailed estimate of a real life construct project.

Automatic Scoring Cornhole Board System, Eric Diffendal, Jonah Harsh, Connor Lengel, Brett Sukie

Williams Honors College, Honors Research Projects

The objective is to create a self-scoring cornhole board that can detect and calculate each team's score based on the bags thrown each round and to be created at a low cost/eventually being sold at the current cost of a normal board. When playing cornhole, the game is simple: throw a bag on the board; however, the scores are variable (deduct and add) across each round. The most common issue when playing cornhole is miscalculations of the scores and forgetting the correct scores. Thus, this invention will make gameplay easy for all to play.

Zips Racing Electric - Vehicle Control Unit, Ryan Stoller, Brian Glen, John Wozencraft, Tetra Engdahl

Williams Honors College, Honors Research Projects

Zips Racing Electric is a design team at the university that builds and races electric cars. The racing team wants to design a four-wheel drive system to increase performance, but the current computer on the vehicle cannot control the more complex power train. The goal of the project will be to build a hardware device that can read sensor inputs and control the torque output to each motor individually. The control device being designed will need to interface with the existing systems on the car and control regenerative breaking, torque vectoring, and other auxilliary systems on the car.

Dc To Dc Buck Converter, Matthew Bildstein

Williams Honors College, Honors Research Projects

This research project focuses on the design, implementation, and optimization of a high-efficiency DC-to-DC buck converter that steps down 12V to 5V for applications such as USB-powered devices, embedded systems, and automotive electronics. Building on my Associate’s degree project, where a 555 timer-based was replace with a LM2576 switching regulator IC.

The research involves circuit simulation in Multisim, PCB layout optimization in Ultiboard, and prototype testing to assess voltage stability, efficiency, and thermal performance. The project will incorporate best practices in power electronics design, including proper grounding techniques and thermal management strategies.

Expected outcomes …

Voice Operated Automatic Chessboard, Logan Pursley, Rafael Soler, Jason Roser, Tyler Hoxworth

Williams Honors College, Honors Research Projects

Chess is a board game played at a variety of skill levels worldwide. Over 1000 years, chess has always required players to move the pieces manually. Unfortunately, anyone who lacks dexterity in their hands or arms cannot manually move the chess pieces on their own. Consequently, a chess board that can be played without hands or arms must be created to accommodate a broader audience. This is the motivation behind the Automatic Chessboard. This design will allow a player to engage in a dynamic and physical game of chess using only their voice. A 3-axis control system will allow for …

Automatic Cat Caretaker, Connor Mcclenathan, Ryan Anderson, Andrew Tate

Williams Honors College, Honors Research Projects

This project will involve developing and constructing a self-cleaning litter box with feeding and watering functions attached. The machine will have a user interface for setting both the feeding and watering times, as well as how much to fill the food and water bowls at the same time. The project will involve the use of motors for the cleaning, feeding, and watering functions, sensors to detect when to perform those functions, and a microcontroller to process all the data and to tell the motors when to perform their respective functions. This project's goal is to make the task of caring …

Trace Flight Computer, Zachary Stratton, Vandad Mossavand Varkaneh, Nicholas Ely

Williams Honors College, Honors Research Projects

In the world of collegiate rocketry, there are currently no commercial-off-the-shelf flight computers capable of being fitted to liquid engine rockets with thrust vectoring control. Currently, amateur rocketeers utilize unreliable Arduino-based systems or expensive drone computers. The objective of this project is to design a flight computer capable of data collection and filtering, telemetry transmission, and real-time controls of critical safety systems using readily available commercial-off-the-shelf components to allow rocketeers to complete their designs within a reasonable budget. The system will collect data from two IMUs, a barometric altimeter, and a magnetometer, then filter the collected data using custom Kalman …

Monitoring A Small Network With Snmp, Dillon Taynor

Williams Honors College, Honors Research Projects

This project takes a look at the implementation of three distinct free Network Monitoring Systems (NMSs) and their usage of monitoring a small, virtualized network using the Simple Network Management Protocol (SNMP). The 3 free NMSs are PRTG, LibreNMS, and Zabbix. The network is virtualized within Cisco Modeling Labs. A literature review on relevant media is conducted alongside a review of the three NMSs based on installation difficulty, user friendliness, reporting ability, and their ability to respond to changes in the network. A brief discussion on the difference between an SNMPv2 and SNMPv3 packet is included as well.

Effects Of Soil Properties On Cp Performance, Cecilia Segretario

Williams Honors College, Honors Research Projects

This research aims to evaluate the affect of various soil properties on the effectiveness of cathodic protection (CP) in preventing underground pipeline corrosion. Metal coupons of common pipeline materials with applied CP will be mounted in several separate controlled soil environments to manipulate real world underground corrosion scenarios. Each soil environment will have different physical properties by mixing the soil with a prepared chemical solution. The physical properties to be evaluated include pH, resistivity, and moisture content. At the end of a corrosion duration, weight loss method will be used to evaluate the corrosion rate over that period. Additionally, the …

Rapid Convective Quench Apparatus Design, Samuel Fenik, Tyler Horvath, Dane Manias, Nicholas Michel

Williams Honors College, Honors Research Projects

In this project, we will research, model, and simulate the heat transfer of a red-hot steel plate undergoing a rapid quenching process by high pressure water jets. Our objective is to quench the steel plate in such a way so that the steam formed from the initial water contact does not inhibit the oncoming water from making proper contact with the plate. After sufficient research has been done, we will design an apparatus which will perform the optimal quenching method and record temperature data with the goal of obtaining the heat transfer coefficient. The purpose of our project is to …

Cochlear Electrode Insertion Training Model, Sarah Powell, Kaelyn E. Kraley, Nathan J. Smith

Williams Honors College, Honors Research Projects

Cochlear implant surgery is a delicate procedure performed by Otolaryngologists (ENTs) to implant an electronic device into the inner ear to provide a sense of sound for people who are profoundly deaf or hard of hearing. The current practices of training involve cadavers and 3D-printed models. Cadavers are commonly used but are expensive, single-use, and do not provide visual and haptic feedback, which are essential for medical students. 3D printed models are less commonly used and are hard to fabricate and not as realistic. If medical students are not properly trained for this delicate procedure, then risks are significantly increased …

Head Mounted Surgical Robot, Mason Currens

Williams Honors College, Honors Research Projects

The purpose of this design project is to utilize a six degree of freedom, robotic system that will be head mounted device that can either assist in, or perform, facial and optical surgery. The six degree of freedom idea came from current systems used in flight simulations. By optimizing the system to fit the figure of a patient’ s head, many of the present errors in surgical robotics can be reduced. One of the major errors when using a facial tracking robot is sudden impulses, such as a cough or a twitch, that the robot can't precisely track. Mounting the …