The team built on the work of a previous paper for an algorithm that differentiates chaotic systems from stochastic and periodic systems. The team used machine learning in order to decrease processing time from the previously-slow algorithm. The team was able to apply multiple types of machine learning to the problem, which was able to decrease runtime.

The Clean Water and Energy Solutions team has designed and developed a portable, compact, solar powered, water purification system. This device, dubbed Aqualife, can purify up to 500 gallons of raw water per day from various water sources such as lakes, streams, rivers, and ponds. Equipped with an intelligent control system, Aqualife not only monitors system parameters such as battery voltage, water pressure, temperature, pH, and turbidity but also tracks the amount of water dispensed and automatically replenishes its four-gallon clean-water holding tank after falling below a predefined level.

Audio compression and playback are ubiquitous in today's world. But while this technology develops, taking more memory and money, Team Fourier Transform has been developing a unique algorithm to accomplish an alternative method. In order to best serve the customer and further develop research in this area, the team has considered audio compression and how to create a better solution that can be utilized in widespread applications while maintaining a lower cost without sacrificing quality.

60 second teaser video of our smart solar powered hydroponic system. This system is automated and designed to help a typical consumer be able to easily grown their own vegetables at home. It features solar power capabilities, indoor lighting system, nutrient dosing pumps, parameter sensors, controller and a phone application for user interface.

Find out how 5 Senior Engineering Students discovered how to receive National Oceanic and Atmospheric Administration (NOAA) High Resolution Picture Transmission (HRPT) Satellite images with this one simple trick. HRPT Signals are received and demodulated with a low cost solution! Dartcom hates them!

LightCube Energy Systems designed an advanced power generation and storage system for a 1U nano-satellite. The goal was to design a system that not only met the power requirements for the various functions of LightCube, but also develop a compact, fiscally smart, durable power system capable of withstanding the hearse conditions of space. The design includes solar arrays, lithium ion batteries, protection systems, and telemetry sensors.

The purpose of this project was to create a proof of concept for an autonomous robot that can freely navigate a warehouse environment, find and pick up a particular item, and bring it to a target location. Using machine learning and the robot’s vision camera, it can detect boundaries and seek unique items thereby allowing it to autonomously operate. Our vision is that this robot could be used as an “off the shelf” solution to picking orders and loading trailers in a warehouse setting like Amazon, Fedex, UPS, and others.

In Monument Valley, there is a remote community that has solar panels but no reliable way to charge a battery with its solar power output. To solve this, the team has come up with a solution and designed an efficient and reliable charge controller that can be used for battery charging using solar power. This controller was designed with the use of buck converters and uses maximum power point tracking to deliver the maximum possible power to the battery.

Feedback is a music learning tool that provides feedback you can feel. By combining a phone app and a haptic glove, feedback can be received through touch or sight. This makes it possible for everyone to improve their music skills.

NoteSync application is a python based executable with a server and client base, where the server base will congregate input audio files and output the final mixed audio output file. The primary objective of the NoteSync application is to provide for a Graphical User Interface (GUI) for both a server and client end configuration. Through the two interfaces the group lead server(teacher/group lead) and clients(students) are able to record audio and pass it to the server for synchronization and mixing into a single audio output file.

Quantum Encryption and Decryption program, made by Quantum Toolbox 2, to send and receive messages securely. In a rapidly advancing cybersecurity world, quantum encryption is an inevitability. Designed to be fully modulated, versatile, and utilize real IBM Quantum Computers.

We have developed a modular toolbox that performs image processing methods using quantum computer simulators. By leveraging the inherent advantages of quantum computing, this system lays the groundwork for future quantum computing research applied to image processing.

Team Radioactive Plume has developed a Python program that can estimate and visually illustrate the airborne concentration of radioactive material originating from a nuclear power plant release. Using only thirteen inputs, our program has the ability to generate plume models within minutes and RadPlume can aid officials in their decision-making process in the event of a nuclear power plant emergency. Having access to our visual tool can assist with the recommendation and implementation of the appropriate actions necessary to mitigate the negative implications of exposure to ionizing radiation.

Our team developed a sprinkler control system that uses online weather data and real-time sensors to optimize watering schedules. The device has a custom designed and built PC board for all of the hardware specifications. Custom python software used for control and a LAN website was created to interface with the system.

The goal of the project is to design and prototype an energy efficient, smart irrigation system that will assist amateur gardeners while remaining cost effective and meeting sustainability goals in both power and water consumption. The automated gardening system will utilize inputs generated from sensors that are located within the garden’s soil and determine appropriate watering needs. Through the use of a custom-made local web server and appropriately trained data, updates will constantly occur in respect to faults within the internal system, general weather data, and the health of the garden.

Clean water is an essential part of life and finding clean water in remote off-grid areas can be a challenge. There are many solutions to this problem, but they are either for personal use and too small for a family or are large and expensive. The goal of this project is to produce a solar powered family sized fixed water purification system, constructed with readily available commercial off the shelf components, and a minimum of custom components.

Team 5G created a device and program that is able to collect data from WIFI and 5G networks. The device incorporated the use of machine learning and is able to recognize American sign language which is used to end the program. The data was collected using Wireshark and will compare the results of 5G and WIFI as well as determine if 5G can be considered real-time.

With the increase of renewable generation on the national grid, the team sought to research and understand Battery Energy Storage Systems' role within a transitioning energy sector. Through simulations and modelling the team focused on how and where BESS can be implemented in order to enhance power stability.

The purpose of the project is to explore and integrate the pumped-hydroelectric energy storage (PHES) technology with existing solar cell technologies while designing a system capable of providing steady, reliable clean energy to the electric grid. The team created a symbiotic system between solar energy and energy storage through pumped storage through the use of a new floating photovoltaic (PV) shell: the Floatovolatic. The main goal of the project is to deploy floating photovoltaic modules at hydroelectric plants to improve PV efficiency, reduce PHES energy loss due to evaporation, and use the solar energy collected to intelligently dissipate to a load or store it as a form of potential energy.

Team LightCube EPS worked with Vega Space Systems to develop the Electrical Power System (EPS) for the LightCube CubeSat, which has been selected by NASA to launch to space as early as 2022. The LightCube EPS design efficiently transfers power from solar panels, charges a battery, and converts and distributes power to the various loads of the CubeSat. The team performed background research, simulations, and PCB design and testing to develop the LightCube EPS.