Journal of Undergraduate Research

Adam Helps and Dr. Thomas Sederberg, Computer Science Image correspondence is a powerful method for matching features in two images. It has a wide variety of applications, and can be used to automatically perform complex image manipulation tasks that have previously been done by hand. In this research, image correspondence has been used to manipulate […]

Jacob W. Crandall and Dr. Michael A. Goodrich, Computer Science Over the last few years, there have been vast advancements in robot technology. These advancements have made robots more powerful. However, because of robot limitations, many interesting tasks will probably include humans and robots cooperating to achieve a shared goal. Lessons from process automation indicate […]

James L. Carroll and Professor Todd Peterson, Computer Science Traditional reinforcement learning techniques learn a single task by giving the agent positive and negative rewards. In one type of reinforcement learning, called Q-learning, the agent stores Qvalues, which are the expected reward for performing an action in a given state. Task transfer is a method of […]

James Carroll and Professor Todd Peterson, Computer Science Reinforcement Learning is a process whereby actions are acquired using reinforcement signals. A signal is given to an autonomous agent indicating how well that agent is performing an action. The agent then attempts to maximize this reinforcement signal. One common method in reinforcement learning is Q-learning where […]

Nathan P. Sharp and Dr. Mark E. Clement, Computer Science Measuring Wireless Signal Strength The process of measuring wireless signal strength for networks can be complex and subjective. There is no “tried and true” way of determining the best layout for a network, but with some fairly simple analysis, much can be done to improve […]

Kevin Alejandro Roundy with Dr. Michael A. Goodrich, Computer Science Original Project Goals The purpose of this research project was to further Nissan Motor Company’s research in technologies designed to improve driver comfort and safety. In particular I looked into the possibility of using force feedback on a steering wheel to help a human driver […]

Jared Holcomb and Dr. Scott Woodfield, Computer Science The hyperweb is a network based on a modified hypercube1 topology. It is used to create a peerto- peer network for a distributed database (such as a genealogical database.) Two major drawbacks that a peer-to-peer network suffers are a low reliability rate for individual nodes and a […]

Minglei Xu and Dr. Robert P. Burton, Computer Science n-D fractals, where n> 4, have long been under scrutiny for their mathematical properties and artistic values. Multi-dimensional space filling curves, for instance, are a focus for contemporary topologists. Notable works in this area include the uses of quaternions, commutative hyper-complex calculus, and, most recently, doubling […]

Qing Xia and Dr. Brian Morse, Computer Science Department The original idea for this project was conceived at the Center for Instructional Design (CID) at Brigham Young University. CID suggested a need to develop software tools for dynamically selecting a good background color for a web page design, given an image to be placed on […]

Neha Rungta and Dr. Eric Mercer, Computer Science As computer systems grow in complexity it is becoming harder to completely test them. The cost of finding and correcting errors after deployment is staggering. Current validation methods are not well suited to finding subtle errors laden in the concurrency of modern systems. This project searches the […]