Matching Items (4)
Filtering by

Clear all filters

147676-Thumbnail Image.png
Description

A primary need of Forensic science is to individualize missing persons that cannot be identified after death. With the use of advanced technology, Radio Frequency Identification (RFID) implant chips can drastically improve digital tracking and enable robust biological and legal identification. In this paper, I will discuss applications between different

A primary need of Forensic science is to individualize missing persons that cannot be identified after death. With the use of advanced technology, Radio Frequency Identification (RFID) implant chips can drastically improve digital tracking and enable robust biological and legal identification. In this paper, I will discuss applications between different microchip technologies and indicate reasons why the RFID chip is more useful for forensic science. My results state that an RFID chip is significantly more capable of integrating a mass volume of background information, and can utilize implanted individuals’ DNA profiles to decrease the missing persons database backlogs. Since today’s society uses a lot of digital devices that can ultimately identify people by simple posts or geolocation, Forensic Science can harness that data as an advantage to help serve justice for the public in giving loved ones closure.

ContributorsChastain, Hope Natasha (Author) / Kanthswamy, Sree (Thesis director) / Oldt, Robert (Committee member) / School of Mathematical and Natural Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
147964-Thumbnail Image.png
Description

In collaboration with Moog Broad Reach and Arizona State University, a<br/>team of five undergraduate students designed a hardware design solution for<br/>protecting flash memory data in a spaced-based radioactive environment. Team<br/>Aegis have been working on the research, design, and implementation of a<br/>Verilog- and Python-based error correction code using a Reed-Solomon method<br/>to

In collaboration with Moog Broad Reach and Arizona State University, a<br/>team of five undergraduate students designed a hardware design solution for<br/>protecting flash memory data in a spaced-based radioactive environment. Team<br/>Aegis have been working on the research, design, and implementation of a<br/>Verilog- and Python-based error correction code using a Reed-Solomon method<br/>to identify bit changes of error code. For an additional senior design project, a<br/>Python code was implemented that runs statistical analysis to identify whether<br/>the error correction code is more effective than a triple-redundancy check as well<br/>as determining if the presence of errors can be modeled by a regression model.

ContributorsSalls, Demetra Helen (Author) / Kozicki, Michael (Thesis director) / Hodge, Chris (Committee member) / Electrical Engineering Program (Contributor, Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
131247-Thumbnail Image.png
Description
Metallically embedded dendritic structures have the potential to become a cost-effective means of conducting microwave frequency identification. They are grown quickly and contain no extra circuitry. However, their reaction to microwave frequency signatures has been unknown. Fractals Unlimited (the thesis group) aimed to test the viability of the dendritic structures

Metallically embedded dendritic structures have the potential to become a cost-effective means of conducting microwave frequency identification. They are grown quickly and contain no extra circuitry. However, their reaction to microwave frequency signatures has been unknown. Fractals Unlimited (the thesis group) aimed to test the viability of the dendritic structures to produce unique electromagnetic signatures through the transmission and reflection of microwaves. This report will detail the work that was done by one team member throughout the last two semesters.
ContributorsEnriquez, Eric Antonio (Co-author) / Kim, Gyoungjae (Co-author) / Martin, Aston (Co-author) / Tennison, William (Co-author) / Trichopolous, Georgios (Thesis director) / Kozicki, Michael (Committee member) / Electrical Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
164606-Thumbnail Image.png
Description
When exposed to radiation, many electronic components become damaged and operate incorrectly. Making sure these components are resistant to radiation effects is especially important for components used in space flight operations. At low dose rates, a phenomenon known as the enhanced low dose rate sensitivity (ELDRS) effect causes an increase

When exposed to radiation, many electronic components become damaged and operate incorrectly. Making sure these components are resistant to radiation effects is especially important for components used in space flight operations. At low dose rates, a phenomenon known as the enhanced low dose rate sensitivity (ELDRS) effect causes an increase in current within linear bipolar circuits. This increase in current is not desirable for space flight operations. Correctly selecting radiation hardened components or figuring out how to deal with the effects for space operation is important, however, radiation testing each component is very expensive and time consuming. To further the future of space travel, a more efficient way of testing is highly desired by the space industry. A low-cost and time-efficient solution is the IMPACT tool. The Multiscale Tool for Modeling Radiation Effects in Linear Bipolar Circuits project aims to improve the existing IMPACT tool for radiation simulation. This tool contains a database of commonly used linear bipolar circuits and allows the user to model the radiation effects. Currently the tool is not very easy to use and the circuit database is limited. The team’s goal and overall outcome of the project is to deliver the IMPACT tool with a user-friendly interface and an expanded circuit database. The team is using multiple tools to improve the overall appearance of the IMPACT tool and running simulations to collect any necessary data for the database expansion. In our thesis, Kerri and Kylie are using LTSpice simulations to expand the database. Cheyenne is using TCAD modeling to create TCAD models of transistors and compare them with her other group member’s simulations.
ContributorsCook, Cheyenne (Author) / Welch, Kerri (Co-author) / Welch, Kylie (Co-author) / Barnaby, Hugh (Thesis director) / Kozicki, Michael (Committee member) / Barrett, The Honors College (Contributor) / Electrical Engineering Program (Contributor)
Created2022-05