Matching Items (3)
- Creators: Computer Science and Engineering Program
- Creators: Dotson, Breydan Lane
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
- Resource Type: Text
This paper summarizes the  ideas behind,  needs,  development, and  testing of 3D-printed sensor-stents known as Stentzors. This sensor was successfully developed entirely from scratch, tested, and was found to have an output of 3.2*10-6 volts per RMS pressure in pascals. This paper also recommends further work to render the Stentzor deployable in live subjects, including  further design optimization,  electrical isolation,  wireless data transmission, and  testing for aneurysm prevention.
Active pixel sensors hold a lot of promise for space applications in star tracking because of their effectiveness against radiation, small size, and on-chip processing. The research focus is on documenting and validating ground test equipment for these types of sensors. Through demonstrating the utility of a commercial sensor, the research will be able to work on ensuring the accuracy of ground tests. This contribution allows for future research on improving active pixel sensor performance.
Pollution is an increasing problem around the world, and one of the main forms it takes is air pollution. Air pollution, from oxides and dioxides to particulate matter, continues to contribute to millions of deaths each year, which is more than the next three leading causes of environment-related death combined. Plus, the problem is only growing as industrial plants, factories, and transportation continues to rapidly increase across the globe. Those most affected include less developed countries and individuals with pre-existing respiratory conditions. Although many citizens know about this issue, it is often unclear what times and locations are worst in terms of pollutant concentration as it can vary on the time of day, local activity, and other variable factors. As a result, citizens lack the knowledge and resources to properly combat or avoid air pollution, as well as the data and evidence to support any sort of regulatory change. Many companies and organizations have tried to address this through Air Quality Indexes (AQIs) but are not focused enough to help the everyday citizen, and often fail to include many significant pollutants. Thus, we sought to address this issue in a cost-effective way through creating a network of IoT (Internet of Things) devices and deploying them in a select area of Tempe, Arizona. We utilized Arduino Microprocessors and Wireless Radio Frequency Transceivers to send and receive air pollution data in real time. Then, displayed this data in such a way that it could be released to the public via web or mobile app. Furthermore, the product is cheap enough to be reproduced and sold in bulk as well as scaled and customized to be compatible with dozens of different air quality sensors.