1. Dude, where are my keys?
A low-power, remote detection system
Eric Christopher, Kevin Murphy, and Chris Owens
Faculty advisor: Prof. Craig
Have you ever said to yourself, "Dude, where are my keys?" It's easier lately with today's technology, focusing on smaller and smaller devices, to lose track of remotes, keys, and anything else that you need to keep track of. We are proposing to design a device that will act as a locator system. By placing a small satellite receiver on an object that you often lose, it will be possible to locate that object by pressing a button on a central base. When the button is pressed, the satellite receiver will beep and flash, allowing you to easily locate your misplaced item.
Commercial product that is similar
2. Medical Uses of Neural Networks: Detecting Abnormalities in Electrocardiograms
Kara Hartman, Rose Mary Su, and Lara Haase
Faculty advisor: Prof. Kozick
This senior design project will focus on the signal processing analysis of the electrocardiogram. By obtaining a set of heartbeat data, we will analyze the data using an artificial neural network to determine possibility of heart dysfunctional conditions. In this case the focus will be on the evaluation of the elevated ST segment of the cardiogram, and hence the determination of myocardial infarction.
3. Autonomous Lawn Mower
Scott Allen, Jarrad Gunther, Preston Hunter, Sam Kaufman, Chris Lay, and Jordan Rice
Faculty advisor: Prof. Kozick
Lawn mowing is a laborious and time consuming activity that has existed for centuries. We have identified the need for a solution to the problem of lawn maintenance. Our team is proposing the design and implementation of an autonomous lawnmower that will cut any shape lawn effectively and efficiently with out human aid. We believe that our product will save valuable summer weekends for the things in life that truly matter. The objective of this project is to design a safe, reliable, unmanned electric lawnmower that will effectively and efficiently mow most residential lawns. The mower will also be able to avoid fixed obstacles (trees, play sets, pools, etc.).
4. Acoustic Adaptive Interference and Noise Cancellation
Andrew Aurand, Ben Bleiman, Brian Cutrell, Jeff Graham, Brett Kasdan
Faculty advisor: Prof. Craig
Guitar amplifiers and other amplification equipment occasionally emit a "hum" that is a problem for serious musicians and audiophiles. This hum is a distraction to the musician and any listeners. Presently, amplifiers that are not top of the line do not include circuitry to correct this problem. Our goal is to create a circuit that can be used in conjunction with an amplifier to reduce this amplifier hum in an efficient and cost effective manner.
We propose to design and develop an acoustic adaptive interference and noise cancellation system to eliminate up to 80% of an amplifier's hum. This circuit will use digital signal processing and band reject filters to cancel unwanted acoustic signals and allow only the desired signal to be produced by the sound system's speakers. This circuit will be active; appropriate electrical signals will be generated to cancel out the hum. The proposed system will also have compatibility with current marketed amplifiers for post sale customer installation. A large part of this project will be determining the cause of the noise. This will involve much testing on several different amplifiers in different states; with effects, w/o effects, with a guitar plugged in, w/o a guitar plugged in...etc. Once the source of the noise is identified, we will determine the best method for correcting or canceling it. When this is complete, we will determine where in the amplifier a consumer can most easily place our circuit.
5. Anti-Collision Vehicle (ACV)
The BobCats: Julie Bires, Jackie Cordaro, and Jen Zalewski
The BullDozers: Ron Gagnon, Ryan McKenna, and Dwayne Wint
Faculty advisor: Prof. Kozick
The anti-collision control system will allow a small electronic remote controlled bulldozer to maneuver through a maze without colliding into walls. The system will have 180 degrees of detection using two or three ultrasonic detection devices in the front of the vehicle. If objects are detected in its path it will choose another path for avoidance. The vehicle will have the ability to move forward and turn itself to the proper angle to avoid other objects.
6. Solar-Powered Self-Setting Clock
Jon Koifman, Melissa Rhoads, and Nick Yaichuk
Faculty advisor: Prof. Craig
This design proposal features a solar-powered self-setting clock. The time will be set to Coordinated Universal Time (UTC) broadcast from the National Institute for Standards in Technology (NIST) out of Boulder, CO. The broadcast signal will be received by the clock and decoded to display the time digitally. To make the clock self-reliant and introduce aspects of low-power designs, the entire clock shall operate off of solar power. Additional features, such as an alarm function, may be added to increase the product's marketability.
7. Controls Lab Project
Shamree Landis, Dan Moscovitz, and Sam Reier
Faculty advisor: Prof. Kozick, with help from Prof. Mastascusa
In ELEC 480, Control Systems, there are only three working models from which students can choose their system for their laboratory projects: The Hot Rod, The Liquid Level System, and The Satellite Disc. Each of these systems is controlled with a sensor; temperature, pressure, and light, respectively. We propose to make a system that introduces ultrasonic or RPM sensors. The basic system is a voltage-controlled model train required to move a certain distance and stop. The sensor, either ultrasonic or RPM, would give voltage data that could be translated into distance from the desired point. The train would then adjust its position accordingly until the desired position was achieved.