A common way to evaluate the performance of players in two-player games is to have them play against other players. If the player wins more games than other players, then it is said to be more capable; in other words, the strength of a player is measured relatively. In this project, we seek a way to evaluate the performance of players in terms of absolute. In recent years, self-play reinforcement learning has given rise to capable game-playing agents in a number of complex domains such as Go and Chess. We perform an analysis of a self-play agent using scaled-down versions of Go on a generic platform to measure the strength of the agent via our developed methods.

Homeopathy is a holistic natural system of medicine and helps patients recover from all types of illnesses naturally, while strengthening their immune system and increasing their energy and vitality. The Hygieia Homeopathy Clinic provides basic knowledge of homeopathy to their patients. Patients use their time-tested methods to trust in their own body’s recovery functionality. The main problem of the website is their patient’s inability to search the website for knowledge and protocols about homeopathy. Other problems with the website include the ability of patients to view and make appointments, purchase vitamins and supplements, and payment information. The Smart Homeopathy Doctor App Senior Design 2021 Team’s goal is to provide their clients a fully functional mobile app for easier content viewing, appointment making, shop, and patient messaging. Furthermore, the website needs to facilitate easy communication between the doctor and patients. The Smart Homeopathy Doctor App is a mobile application. Its primary function is to allow users to query a server-hosted database. The content of the database includes publicly available, non-sensitive data such as FAQs pertaining to homeopathy. The administrator performs database CRUD operations. Over the course of the project, our team has refined our time management skills and honed our Peer Review skills. We communication better by not only updating others on our progress but also asking members for help. We also learned Ionic Framework with Angular for our front-end user experience and learned to store our database in Firebase.

Our goal is to create a user friendly dashboard with data related to the current COVID-19 pandemic. This includes an interactive map, charts, and numbers presented to the user in a simplified manner. The data spans every county in the United States. Beyond just being a COVID-19 Tracker, our tool will be available as an API that can be used with any other state and county specific data.

Identifying new and cutting-edge investment strategies is a crucial step in establishing any large business within its relative industry. Fort Capital, whose primary investment focus is on industrial-grade buildings, is taking an innovative and insightful approach to geographic understanding. Fort Capital aims to identify trade routes used by major market players, such as Amazon and Walmart, to find the areas where industrial warehouses and large-scale distribution centers are in highest demand. To locate such trade routes, identifying the main travelers on these routes is essential, and Truck Detective aims to do exactly that. Using machine learning and artificial intelligence models such as a deep neural network, Truck Detective enables Fort Capital to detect, with high accuracy, the location of big rig trucks, and can additionally help identify where they came from or where they are heading. This, in turn, illuminates geographically important areas with promising investment opportunities for Fort Capital.

Vehicle Re-identification, which aims to retrieve matching vehicles across different cameras, is a challenging problem in Intelligent Transport System due to different factors such as illumination conditions, occlusions, and video resolution. Numerous studies are proposing the use of Deep Neural Networks, a recent advance in Artificial Intelligence, thanks to their exceptional feature embedding extraction. However, Deep Neural Networks perform poorly on cross-domain settings. Furthermore, vehicle re-identification training data is relatively limited because public videos are only accessible to the authority only. Our study tackles the above challenges by utilizing several state-of-the-art techniques on domain learning to expand the model's generalization capability. Our research shows that we can outperform other state-of-the-art models by large margins on popular vehicle re-identification benchmarks.

The purpose of this project is to create a closed loop system that will enable a continuous drying cycle of mined limestone through a rotating cylindrical dryer. Our client, Lhoist North America, has tasked us with designing this system, and our biggest issue has been putting together the system on a limited budget. We have determine that the most efficient method of designing the system is to used scrapped equipment that Lhoist has available and reconfiguring it for our design, rather than buying a new system. Another challenge we have faced is the method of transporting the mined limestone due to its sand-like qualities. We believe that the most effective method of designing the system will be by altering scrapped material from Lhoist’s scrapyard to complete a closed loop system of the limestone for the rotary dryer.

Dryer Testing
The parameters which were used to test the dryer was that the incline was set at 5 degrees, and the dryer rpm was at 5 and 10. Further, we used four rows of 90-degree lifters followed by four rows of radial lifters. We tested using a small grain limestone sample to be a middle of the road test. Originally, we started testing with one scoop (one quart) inside the cylinder, started the motor and turned to the 10 rpm, and added one quart every ten seconds until 4 total scoops were through the cylinder. The time this took was consistently right around the 90 second mark. However, when the volume was turned up, the findings were more interesting. When we started with a full five gallons inside of the cylinder, turned the motor up until 10 rpm, and added another five gallons at the 30 second mark, the time that it took for all of the material to exit the cylinder was right around the 90 second mark, the same time as when only a gallon of material went through the dryer.

We accumulate several cloud services on Amazon Web Services (AWS) into developing a serverless system in the cloud that replaces the current technical support request, which occurs via calls, in a classroom setting. The instructor can notify the so-called IT person with a press on the programmable Internet of Things (IoT) button. We plan to deploy the system at our university as a way for class instructors to request help without interrupting the lecture. The system is low-cost thanks to AWS's pay-as-you-go policy and easy to install.

The most viable path to alleviate the Global Climate Change is the substitution of fossil fuel power plants for the generation of electricity with renewable energy units. The substitution requires the development of very large (utility-level) energy storage capacity, with the inherent thermodynamic irreversibility of the storage-recovery process. Currently the world also experiences a significant growth in the numbers of electric vehicles, which use very large batteries. A fleet of electric vehicles is equivalent to a relatively efficient storage capacity that may be used to supplement the energy storage system of the electricity grid. Calculations based on the demand-supply data of a large electricity grid show that, even though a fleet of electric vehicles cannot provide all the needed capacity for a large electricity grid, the superior round-trip storage efficiency of batteries significantly reduces the energy dissipation associated with the storage and recovery processes. A very small amount of battery storage significantly reduces the dissipated energy in the electricity grid. Also, improvements in the round-trip efficiencies of batteries are three times more effective than improvements in hydrogen storage systems.

The dryer is a steel cylinder, approximately 36 inches in diameter and five feet in length. The cylinder also spins at a rate up to 10 rpm. The inside surface contains 48 lifters. These lifters have two variants and are made of mild steel. They are designed to move limestone through the cylinder while the cylinder spins.