Electrical and Computer Engineering Commons^™

A Trojan Attack On Tdma Synchronization In Energy-Harvesting Wireless Networks, Ethan Berei

ONU Student Research Colloquium

This paper investigates a Trojan attack targeting the time-division multiple access (TDMA) synchronization mechanism in single-hop energy-harvesting wireless networks. The attack compromises a single node, which subtly skews its transmission timing to operate outside its assigned time slot, causing localized transmission overlaps and triggering repeated network-wide resynchronization events. This behavior shortens the synchronization interval, significantly increases control-plane traffic, and leads to higher energy consumption and delay in energy-constrained networks. The attack is modeled within a finite state machine (FSM) framework and experimentally evaluated under varying energy-harvesting conditions. Experimental results show that the number of synchronization events can increase by up …

Automation And Habitat Development For A Space Based Marine Life Environment, Logan Trimmer, Alexander Hang

Harrisburg University Other Works

This project was a cross-collaboration between the Environmental Sciences and Advanced Manufacturing and Robotics programs for the company Monolith Space.

The goal of this project was to design an autonomous system to be able to track qualities of water in an aquaculture system designed to be sent to space.

Low Cost Additive Manufacturing Of Segmented Stator Composite Polymer Permanent Magnet Dc Motors, Ben Goldberg, Jordan Bailey, Connor Hawkins, Colin Haskins, Razvan Voicu

Symposium of Student Scholars

This study presents a novel approach to the design, manufacture, and optimization of segmented stators for composite construction axial flux permanent magnet DC motors. Traditional axial flux stator manufacturing is both challenging and expensive, creating a bottleneck in rapid prototyping and innovation. To overcome these limitations, the stator is divided into individually fabricated segments using advanced composite polymer materials and low-cost additive manufacturing techniques. This segmentation not only drastically reduces production complexity and cost but also allows for customized coil geometries that maximize the surface area for improved heat dissipation.

A key innovation of our design is the integration of …

Increasing Guard Band Size To Decrease Interference In V2x Communication, Nakira Oglesby, Mackenzie Prescott, Billy Kihei, Ph.D.

Symposium of Student Scholars

As technologies evolve and new devices are introduced, the demand for fast and reliable vehicle-to-everything (V2X) communication increases. As this demand increases, the interference level in the 5.9GHz Dedicated Short Range Communications (DSRC) band will inevitably increase. And thus, the task of somehow minimizing this interference becomes increasingly important as time passes. This report investigates the effects of increasing the guard band size of the lower 5.9 GHz DSRC band on the adjacent channel interference from Unlicensed National Information Infrastructure 4 band (U-NII-4) devices and to try and see if there is a significant decrease in the interference level. The …

Advancing Prosthetic Technology: 3d-Printed Robotic Arm With Micro Linear Actuators, Vu Tran, Nathan Reed, Mahdi Yazdanpour

Posters-at-the-Capitol

The increasing demand for affordable and accessible prosthetic solutions has driven innovation in the field of robotics. In this project, we present the design and development of a 3D-printed robotic prosthetic arm aimed at addressing the challenges faced by individuals with upper limb amputations. Our prosthetic arm utilizes five micro linear actuators to achieve precise and naturalistic movement. The design of the prosthetic arm prioritizes affordability and accessibility, with a focus on leveraging 3D printing technology to reduce manufacturing costs and enable customization. The use of micro linear actuators offers advantages in terms of compactness, lightweight construction, and efficient power …

Scla 521 Ai In Society, Bert Chapman

Libraries Faculty and Staff Presentations

Provides access to information resources on societal impacts of artificial intelligence from multiple libraries databases covering multiple disciplines including government information resources.

Study Of Interface Charges Between In-Situ Grown Dielectric And Gan/Algan Hfet Structure By Metal-Organic Chemical Vapor Deposition, Muhammad Hassan Tahir, Nifat Jahan, Md Ghulam Zakir

Faculty Publications

The integration of an oxide layer in metal-oxide-semiconductor high electron mobility transistors (MOSHFETs) plays a crucial role in minimizing gate leakage current and enabling wider gate voltage swings. In this study, we present the fabrication and characterization of GaN/AlGaN heterostructure field-effect transistors (HFETs) capped with a Ga₂O₃ dielectric layer. The oxide was deposited via an in-situ process within a single MOCVD reactor without vacuum interruption. Our findings demonstrate that the in-situ capped HFETs exhibit a significantly lower interface charge density of 4 × 10¹² cm⁻² compared to 1 × 10¹³ cm⁻²·eV⁻¹ observed in ex-situ grown counterparts. These results highlight the …

Study Of Indium-Silicon Co-Doped Gallium Oxide For Effective N-Type Doping, Muhammad Hassan Tahir, Nifat Jahan, Md Ghulam Zakir

Faculty Publications

We present the research efforts to achieve effective n-type doping in gallium oxide (Ga2O3), an ultrawide bandgap semiconductor, grown by metal-organic chemical vapor deposition (MOCVD). The application of semiconductors for power electronics requires wide and ultrawide bandgap materials that can be doped to create higher electron (n-type) or hole (p-type) densities. Ga2O3, with a bandgap of 4.9 eV, is an emerging and promising material. The bandgap of Ga2O3 is much higher than other wide bandgap material that have been adopted by or in the process of adoption by the industry for power electronics. However, the doping of Ga2O3 has some …

Gallium Oxide Based Avalanche Photo Detector, Muhammad Hassan Tahir Mr, Nifat Jahan, Md Ghulam Zakir

Faculty Publications

Gallium oxide (Ga₂O₃), an ultrawide bandgap semiconductor with a bandgap of 4.6 eV and a high critical electric field of 10.3 MV/cm, offers strong potential for high-performance avalanche photodetectors (APDs). This project explores the design and characterization of a Ga₂O₃-based APD featuring doped and undoped epitaxial layers optimized for high electric field generation and low thermal conductivity, enabling stable operation in high-temperature environments. Simulation results show a uniform electric field of 1 MV/cm under a 100 V applied bias, while material characterization confirms excellent surface smoothness with a mean roughness of ~1.1 nm and an electron mobility of 21.7 cm²/V·s …

Multimode Point Spectroscopy For Food Authentication, Sayed Asaduzzaman, Nicholas Mackinnon, Hossein Kashani Zadeh

SDSU Data Science Symposium

Enhancing food quality measurement is a necessity to guarantee food safety and adherence to health regulations. Current methods involve lab testing which are time-consuming, costly, destructive and require skilled workers. Spectroscopy has the potential to overcome these challenges. This study employs a multi-mode point spectroscopy method to distinguish food products according to their spectral characteristics,. The system records fluorescence, excited at 365 and 405 nm, visible-near infrared (Vis-NIR) and short-wave infrared (SWIR) spectra. The three main subjects of the study are olive oil, milk, and honey. Samples were kept in a transparent cell culture pot, and Gray and White Spectralon …

A Study Of Deep Neural Networks In The Application Of Distracted Driving Detection, Wesley M. Heikes

ATU Scholars Symposium

As the world continues to become more technologically advanced, distracted driving will continue to be a growing danger to the public. Convolutional neural networks can be used to monitor driving and differentiate distracted driving from safe driving. A popular distracted driving dataset created by State Farm called the Distracted Driver Dataset can be trained with the Auto-Keras model API. Auto-Keras is a system that taylors a machine learning model to fit a given dataset. While experienced neural network designers can create neural networks to produce incredibly accurate results, Auto-Keras gives those with less expertise a method of designing a network …

Kayak Automated Steering, Nick Gilbert, Emily Trotter, David Asimbaya, Jorge Garcia, Natalie Nyatsanza

ATU Scholars Symposium

The problem presented is to automate a fishing kayak to make traveling long distances more manageable while maintaining the flexibility, portability, and size of the kayak without making major modifications to the already working item. The proposed design is aimed to solve the steering issues that a fixed seat in a kayak may have and the consistent paddling by supporting them with an automated system. The device is not meant to interfere with the system's manual operation but to provide a sense of aid when needed.

Premium Single Phase Motor For Abb Group, Daniel Johnson, Sky Friar, Jesse Willer

ATU Scholars Symposium

ABB Group is in search of a next generation premium single phase motor. An integrated drive paired to a three phase motor will allow the company to take advantage of current three phase motor automation capacity while presenting the end user with a simple, ready to use motor operating off of single phase power. This project is the design of such an integrated drive.

The drive will accept 115/230 Vac, single phase supply power and send it through a full bridge rectifying, voltage doubling circuit. This circuit will rectify the alternating current to direct current and increase the voltage to …

Distracted Driving Detection System, Tristan Caja, Lizzi Riney, Chance Gregurek, Wesley M. Heikes

ATU Scholars Symposium

In 2020, distracted driving claimed 3,142 lives in the United States[1]. Using current technology, our project aims to prototype a device that uses computer vision to crack down on this dangerous behavior while working with insurance agencies that provide incentives for customers to adopt the device. At the heart of this project is a deep learning algorithm trained to classify images on a set of 10 classes: safe driving, texting - right, talking on the phone - right, texting - left, talking on the phone - left, operating the radio, drinking, reaching behind, hair and makeup, and talking to passenger. …

Functional Integrated Storage Housing, Thomas Dodds, Andrew L. Hilsdon, Alexander J. Holland, Vana Ducusin, Christopher Dew

ATU Scholars Symposium

The Corley lab director asked us to design and build a shelf for the robotics lab to help store parts and help organize the lab. The group decided on an electronic vertical rotating shelf design consisting of groups of bins on shelves. The unit is able to store and sort through thousands of pounds of parts and keep track of them using an computerized inventory system to streamline the operator’s workflow and improve efficiency.

Creating A Power System For A Robot, Nolan Hays

Scholars Week

I will be describing the process of creating the power system for the robot that will be competing in the 2023 IEEE Hardware Competition.

Automated Robotic Light Bulb Testing Platform, Agha I. Akram, Muhammad Ali Ummy

Publications and Research

The main purpose of this project is to create a functional prototype of a multilayered system that incorporates aspects of electrical, mechanical, and computer engineering technology. The main objective of the system is to be able to determine whether a light bulb is working or not. The building blocks of this system are a robotic arm that is able to slide along a rail (for added mobility), a conveyor belt, and an electromechanical device that holds and tests light bulbs. Initially, the robot arm picks up a light bulb and places it into the holder which then tests it. A …

Application Of Net-Centric Communications For Disasters (Panel 1: First Responder), Norman Jones

Online Journal of Space Communication

Norman Jones, Transformational Communications Engineering presents: Application of Net-Centric Communications for Disasters

Data-Driven Indoor Localization In The Internet Of Things, Shervorn Mathews

Publications and Research

Indoor localization is difficult because of issues regarding the physics of signal propagation and multipath interference. Satellite-based technologies such as Global Positioning Systems (GPS) are unreliable indoors due to the signal attenuation during propagation and the multi-path interference. A data-driven process using the massive amounts of data available in smart devices may be the solution to this problem as they don’t rely on sophisticated indoor propagation models like traditional methods. The emergence of methods in machine learning society can be used to fulfill this task. The objective is to estimate the location of a person in a room using Received …

Identity Construction In The Work Of Mario Benedetti, Grace Jennings, Andrew F. Milacci

Liberty University Research Week

Undergraduate

Textual or Investigative

Improve The Prototype Of Low-Cost Near-Infrared Diffuse Optical Imaging System, Chen Xu, Mohammed Z. Shakil

Publications and Research

Diffuse Optical Tomography (DOT) and Optical Spectroscopy using near-infrared (NIR) diffused light has demonstrated great potential for the initial diagnosis of tumors and in the assessment of tumor vasculature response to neoadjuvant chemotherapy. The aims of this project are 1) to test the different types of LEDs in the near-infrared range, and design the driving circuit, and test the modulation of LEDs at different frequencies; 2) to test the APDs as a detector, and build the receiver system and compare efficiency with pre-built systems. In this project, we are focusing on creating a low-cost infrared transmission system for tumor and …

Enviromentally Conscious Industrial Renewable Energy Storage Design, Kouroush Jenab, Travis C. Porter

Posters-at-the-Capitol

The storage of energy on an industrial scale is the biggest obstacle we face regarding renewable energy sources; which, until the past decade has been at a miniscule scale. Since 2012, the capability and emphasis on finding solutions to this problem have grown exponentially, fueled by a spike in technology advancements. This has led to a growth of over fifteen hundred percent in scalable renewable energy storage, globally. Finding an easily scalable solution to industrial scale renewable energy storage is an important issue that needs to be addressed to mitigate the effect on our environment. This would be a massive …

Interchangeable All Fiber-Based Passive Voa/Voc System, Andrei Statchevschi

Publications and Research

A passive interchangeable variable optical coupler and attenuator system is demonstrated. A maximum coupling ratio of 99.94/0.06 and attenuation of up to 30 dB were achieved respectively.

Autonomous Watercraft Simulation And Programming, Nicholas J. Savino

Student Scholar Showcase

Automation of various modes of transportation is thought to make travel more safe and efficient. Over the past several decades, advances to semi-autonomous and autonomous vehicles have led to advanced autopilot systems on planes and boats, and an increasing popularity of self-driving cars. We predicted the motion of an autonomous vehicle using simulations in Python. The simulation models the motion of a small scale watercraft, which can then be built and programmed using an Arduino Microcontroller. We examined different control methods for a simulated rescue craft to reach a target. We also examined the effects of different factors, such as …

An Electrooculography Prosthetic Control System, Walker Arce

UNO Student Research and Creative Activity Fair

For many surface EMG (sEMG) prosthetic control systems, the muscles on the affected limb are used to trigger the control system. This can lead to fatigue in the user as they have to maintain continuous muscle activation and coactivation in order to achieve prosthetic control [3]. The crux of any prosthetic control system is the human machine interface that is developed, and at present many control systems have complicated interfaces that limit the degrees of freedom of the prosthetics. This study focuses on the development of a low-cost prosthetic control peripheral that is compatible with the prosthetics developed by Dr. …

A Radio Frequency Identification (Rfid) Prosthetic Control System, Andrew Butler

UNO Student Research and Creative Activity Fair

Item classification and tagging in embedded systems has become ubiquitous in our society due to radio frequency identification (RFID) and the cost has dropped significantly for hardware that can interact with these devices. Due to this, possibilities in the realm of prosthetic control systems opens up for dynamic grip selection without user intervention. This study focuses on the development of a device capable of this functionality that is compatible with the prosthetics designed by Dr. Zuniga and his research team.

The printed circuit board (PCB) was designed using the EAGLE EDA package and incorporates a lithium polymer battery with a …

Smart Iot Sprinkler System, Galib F. Rahman

Publications and Research

The average family spends more than $1000 in water costs per year. One-way water is commonly wasted in many households is via inefficient sprinkler systems for lawns. Current technology has enabled the development of automatic sprinkler systems, which can be preconfigured to operate at desired times of day and intervals. Although these systems may reduce the amount of water utilized overall, they are not weather forecast aware. In situations when rainfall is upcoming the systems still water the lawn. In this project, we plan to implement a smart sprinkler system that has full awareness of upcoming weather and take account …

Automated Control System For Photo-Bioreactor, Madankrishna Acharya

Posters-at-the-Capitol

At the University of Kentucky Center for Applied Energy Research, recent efforts have been made to optimize and reduce the cost of a unit designed to control an automated photobioreactor system in which microalgae is grown to reduce CO2 emissions. In contrast with a previously used system based on a compactRIO controller and NI LabVIEW software, a new optimized version utilizes an inexpensive Beagle Bone panel as a microcontroller that can be programmed through the use of Python software. Notably, the cost of the new control system was 1/10th of the price of the previous unit.

Epics Torch, Madi Rogers, George Townsend, Brandon Henman, Holly Gregory, Patrick Leal, Brennan Mcpherron, Xinyue Pan

Engagement & Service-Learning Summit

The Indiana Bicentennial Commission (IBC) was created by former governor Mitch Daniels to plan and execute a statewide celebration of Indiana’s 200th birthday in 2016. The commission has requested that researchers at Purdue University develop a high-tech Indiana-made flame torch a la the Olympic torch to be used in the celebration and displayed throughout all 92 counties of the state. In addition, the IBC requested that Purdue’s EPICS program develop a kid-friendly torch that can be used alongside the actual torch in relays, celebrations, and community outreach events throughout the state.

By collaborating with Purdue researchers throughout a range of …

Applying Data Mining Tools To Archaeological "Big Data", Michael Polczynski, Mark Polczynski

Electrical and Computer Engineering Faculty Research and Publications

No abstract provided.