The goal of this capstone project is to develop a machine learning model that can take the data contained within an individual's speech and perform binary classification: either the individual is displaying signs of PD, or they are not.

Team Gamma's senior design project is redesigning and upgrading an outdated high range calibration device called the Model T1008 Calibration Range or “Cannon” located at Ludlum Measurements, Inc in Sweetwater, TX. Our goal for the project is to update portions of the Cannon that will expand the automation of the machine. The project objective we have been assigned to tackle is updating the PLC, adding an HMI, and updating the Cannon in other ways to improve functionality.

Improving the cheap and quick radiation testing software, IMPACT, by expanding its database and making the interface more user-friendly. The LM741 circuit has been added, and the interface has been updated to have better visuals and more simulation options.

Over the past year, we have worked on furthering the development of a real time tire scanner. This tire scanner uses a technique called synthetic aperture radar (SAR) and a 230 GHz to 330 GHz bandwidth signal to create the scan. The goals for this project were to obtain a more realistic tire, calibrate the scan, scan the tire in continuous motion, and design a precision mount.

PREPS, a Portable Rechargeable Emergency Power Supply capable of supplying power in any emergency situation. Our power supply will support the use of AC and DC devices to give the user the availability to charge/run an assortment of electronics and appliances to fit their specific needs. Our design ensures consistent readiness and sustainability in the field by utilizing both renewable and nonrenewable energy systems as a means to charge the battery.

The RF Interrogator is an RFID system that can measure chirp reflections off a capacitively loaded sensor to determine changes in the resonant frequency of the sensor. It consists of an RF transmitter, RF receiver, and digital signal processor. This system provides a portable method for remotely measuring variables such as temperature, humidity, and radiation, and has applications in medicine, manufacturing, and power plants.

The team set out to test a proof-of-concept Nitinol Heat Engine. The machine uses the unique properties of Nitinol to convert thermal energy to mechanical energy to electrical energy. This machine is intended for disaster / off-grid landscapes.

The Mini Wash is a small home washing machine, built to function without without washer-dryer hookups. It is fully automatic, and has a maximum spin speed of 75 rpm.

Research solutions, implement and test designs for a low-cost error detection and recovery system on open-source processor architecture for aerospace applications. This ensures continued computer operations in the event of soft error induced by radiation activity or other upset sources.

Do you enjoy spending time outside on a hot sunny day, but get uncomfortable and frustrated when the air stands still and there is no breeze? Our team proposed and developed an affordable and simple to mount solar powered installation kit for use with overhead outdoor fans. The solar kit is intended for use with fans in such settings as patios, pool areas, or other locations where there is no existing source of power, and where running power to the location is not practical, nor cost effective.

The threat awareness system was built to detect potential human threats within a 4-5-meter radius. It monitors the user's blind spots directly behind them and returns "Alert" and "Safe" messages where appropriate to the user's device.

The project goal was to create a system that can receive a Wi-Fi signal out to a range of 300 meters and then use it to “track” or point in the direction of a given Wi-Fi source. The proposed design features a 4x2-element rectangular patch antenna array that allows operation in the 2.4 GHz Wi-Fi frequency range and is mechanically steered using an encoded DC motor which is controlled by an Arduino/Raspberry Pi control system that enables it to track a source 360° from the antenna's broadside direction.

This project seeks to use analog circuitry to perform an analog vector-matrix multiply (VMM). Using an analog VMM as opposed to a standard digital VMM will help improve the speed and power efficiency of machine learning.

This project implements a 5G system on hardware using USRP kits where BSs cooperate using machine learning while users are served with the acceptable performance they requested.

Come visit our group to discover how Generative Adversarial Networks can augment existing data sets for larger 'Big Data' projects! Explore how generative adversarial learning works on classical and quantum devices. See how a classification neural network responds to datasets made with real and GAN generated images!

High voltage insulator flashover due to environmental contamination is a problem that plagues electric utility companies around the world. The Monitor and Alert for Substation Insulator Contamination (MASIC) system is designed to provide real-time insight into the contamination levels of a utility’s insulators. It consists of a set of sensors built upon a duplicate insulator that measures the resistance across the surface of the insulator over each quadrant of each shed, and wirelessly transmits that data along with GPS and temperature/humidity data to a centralized server to be viewed by the end-user.

Milli and the Volts is a Senior Design team made up of four engineering students at Arizona State University. Throughout the Fall 2021 and Spring 2022 semesters, the team developed the Milli Locator, a pet tracking collar. The main goal in developing the Milli Locator was to create a power source that utilizes energy harvesting to extend battery power to this device.

Project GridBase is a small scale DC-based unidirectional microgrid aimed at improving energy stability and access in developing regions of the world. The GridBase system attempts to accomplish this by integrating simplified intelligent power electronics, onsite electrical generation, onsite storage, and the existing national electric grid onto a DC bus. A small scale prototype has been built as a proof of concept.

Mobile application App for Predicting Cardiovascular Disease in at-risk Patients

The “VR Harness” project is a wearable virtual reality accessory that enhances the experience when using a wireless VR headset. Using our power pack you gain four times the capacity of a standard headset. Along with the extra battery life, there are mounted speakers to provide a more immersive stereo audio experience.

The Project of team Sunrays to Sinewaves is to interconnect a PV solar generation station in an existing transmission grid in California. The interconnection process includes short circuit analysis, transient stability analysis, contingency analysis, CT/PT ratios selection, protection settings calculation and operating limits determining. The result shows that the costs of construction for the plant are estimated to be $250M USD and will produce 200 MW of power into the existing transmission grid reliably, economically and eco-friendly.

This ambient light and sound device reintroduces ambient rhythm to society’s modern lifestyles while recognizing dynamic technology and environmental trends. An ambient device that intelligently modifies the feel of a space offers an opportunity to add value in a cost effective and sustainable way.

The Deep Junction - Low Gain Avalanche Diode (DJ-LGAD) is a developmental diode, which is designed to reduce the noise and granularity, and return an improved signal readout, compared to traditional Avalanche Diodes. Our project consists of us characterizing and conducting experiments while gathering data for the DJ-LGAD on the wafer and die level. The team has performed research into the DJ-LGAD device, applications, and lithography fabrication process as well as physically measuring of the IV and CV curves of the Device.

Our project demonstrates the capability of an automated production system that produces artificial dendrites. The video consists of an acrylic solution that is being transported along a conveyor belt to be rolled between two substrates. The pressure and constant speed of the sticky roller results in two mirror dendritic identifiers.

The goal of this project is to design a smartwatch for sailors, specifically on cargo ships. The smartwatch has functionality for pulseox monitoring, acceleration testing, precise location monitoring, and hazard notification. It is hoped that this solution will address the current need of sailors, thereby lowering their mortality rate while at work.

Our Team has designed a 5G Ad Hoc Network that allows users on the network to retransmit data to one another in order to offload work from the Base Station (main transmitter). Using Raspberry Pi kits, USRP kits, Python and MATLAB code, and the GNU Radio companion software, the team was able to create a network capable of supporting a large number of users with a high quality of service compatible with an Internet of Things.

Team 46 "ASU Automation" presents "Project Smart Water". Project Smart Water is a programmable solar-powered water collection unit that can provide potable water or irrigate a designated area.

This project aims to improve biker safety by implementing automated turn signals on a bicycle to improve its visibility to other vehicles on the road. The system utilizes the STM32 SensorTile module, along with its embedded machine learning capabilities for motion detection (EmbeddedML) developed by Charles Zaloom of UCLA. When a motion on the bike is detected, the appropriate turn light is illuminated.

Project MicroGrid is a portable, modular, low cost power converter capable of powering up to 1kW loads. Designed to be used in insecure or unstable areas, it can be manufactured using rudimentary tools. It provides value to our NGO and infrastructure insecure customer bases by being user configurable and easily repairable with common parts used in thousands of commercial products.

The Wildfire Monitor is a monitoring system placed along power lines that periodically senses environmental conditions that contribute to wildfire incidence. Through monitoring these conditions, a wildfire risk assessment can be made to allow proper preventative measures to be taken, or for a wildfire to be detected early. This system allows for wildfire monitoring in a low cost and power conscious way, retaining the accuracy of other monitoring systems while reducing cost dramatically.

This project was to program Cognex machine vision cameras to detect hose yarn pitch, broken yarn scrap, and distorted yarn scrap on extrusion line 8 at HBD Thermoid’s Bellefontaine factory to reduce scrap and save on yarn material by introduction of an automated control system to correct yarn pitch and alarms to alert operators of scrap events.

Introducing the Agri-PLC! This user-customizable system automates gardening to expand the reach of the benefits of gardening to people with limited space, time, and money.

Quantum networks are an enhanced version of the networks of today, providing more security and faster data transfer. For our project, we designed a simulation that passes qubit information from one node to another. The simulation was then tested to measure its effectiveness over a specified distance and number of repeater nodes.

The Energy Acquire is a device that allows its user to generate, store, and utilize solar energy, without the need to install static solar panels on the users roof. The Energy Acquire aims to cater towards individuals who either do not own the roof they live under (be it an apartment, condo, or rented home), or do not plan to stay in one location long enough to make static solar panels a valuable investment. The system is completely independent of the grid, making it a viable option for emergency situations or rural environments dethatched from the grid.

Solar EV charging station that works standalone to provide power to the electric vehicle. Will help in reducing electric bill for EV owners and aid SDG 13 climate action goal.

Team Flyright proposes Orthos 1; a redundant drone autopilot system, with the intent of improving drone flight safety & reliability. Orthos 1 consists of two automatic flight controllers, which work in tandem.

A robotic rover that is capable of verifying equipment location and identification using RFID equipment. This could in theory eliminate the need for separate building inspections, shorten the turnover time and help to improve the safety and overall quality and accuracy of the building.

A modular power pack solution for use in off-grid situation to deliver power wherever the user is. Combines four power generating solutions; wind, hydro, solar and thermal, to charge a battery pack used to charge devices like cell phones.

This project involves implementing a fingerprint sensor to a DIY remote control car for the purposes of access and differentiating power. Approved users have different profiles that allow for personalized settings, specifically motor speed, while unapproved users are unable to operate the car.

The Power Wrangler is a device which allows you to monitor and record the power usage within your home, without sending personal data to the cloud.

A wearable glasses-based device that serves as a proximity sensor for individuals with low visibility. Vibrating motors serve as haptic feedback whenever an obstacle is detected by the sensor. This allows for a user to navigate past obstacles without needing to see them by relying on the sensor and the haptic feedback provided by the motors.

Capstone project. Electromagnetic linear mass accelerator that is used for entertainment purposes.

Team was tasked with creating portable piece of hardware that can monitor the temperature of a loudspeaker voice coil in real time which allows for sample rate, total test time configuration, as well as allowing for the disconnect of the test using a relay.

Portable at-home Sepsis predictor for at-risk patients using Machine Learning

The goal of our project was to design a compact, reliable, and cheap CO2 scrubbing device for use in confined spaces. In confined spaces high CO2 levels have the potential to cause serious illness and death if proper air filtration is not performed.

The importance of fast, accurate, and cost-effective diagnostic testing has come to the forefront of modern society in the wake of the recent pandemic. Our project utilizes a novel approach based on antigen specific nano-bodies to measure the optical properties of a sample, and translate that to an automated test result. This design provides an affordable, sensitive, and easy to use method that improves upon current testing techniques.

The purpose of this project is to create a portable gas sensor that can be worn on a backpack or beltloop with a clip. The sensor is able to detect AQI levels and send it wirelessly via Bluetooth to an Android app where it can be displayed.

Worked on design for an industrial fluorescence sensor for cotton swab manufacturing. The sensor used spectral sensors to detect proper glue applications. Sensor was integrated with an existing controller that was on the swab machine.

ASU will run a pilot for the USDA, creating dendritic identifiers to cut down on counterfeit foods. Our project automates the dispensing component of this process. The system involves stepper motors, control circuitry, and syringes held by a custom 3D printed stand.

A economical design to provide Cheyney University a solar plus storage system in line with their Master Plan. All stages of the design are covered from conceptual, modeling, impacts, financial and construction. Also incorporated is agrovoltaics and educational opportunities for added value.

We are building a collision avoidance system to improve safety outcomes for power wheelchair users.

Our project is the development of a wireless charging battery. Using wireless charging circuitry pack in a AA cell geometry, any AA powered device using our Magical Batteries will become wireless charging capable. With of the shelf parts we were able to develop a small, functioning prototype of this device.