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Foveal sensors employ a small region of high acuity (the foveal region) surrounded by a periphery of lesser acuity. Consequently, the output map that describes their sensory acuity is nonlinear, rendering the vast corpus of linear system theory inapplicable immediately to the state estimation of a target being tracked by

Foveal sensors employ a small region of high acuity (the foveal region) surrounded by a periphery of lesser acuity. Consequently, the output map that describes their sensory acuity is nonlinear, rendering the vast corpus of linear system theory inapplicable immediately to the state estimation of a target being tracked by such a sensor. This thesis treats the adaptation of the Kalman filter, an iterative optimal estimator for linear-Gaussian dynamical systems, to enable its application to the nonlinear problem of foveal sensing. Results of simulations conducted to evaluate the effectiveness of this algorithm in tracking a target are presented, culminating in successful tracking for motion in two dimensions.
Created2015-05
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Description
The purpose of this research is to study the effect of angle of acceptance and mechanical control system noise on the power available to a two-axis solar concentrating photovoltaic (CPV) system. The efficiency of a solar CPV system is greatly dependent on the accuracy of the tracking system because a

The purpose of this research is to study the effect of angle of acceptance and mechanical control system noise on the power available to a two-axis solar concentrating photovoltaic (CPV) system. The efficiency of a solar CPV system is greatly dependent on the accuracy of the tracking system because a strong focal point is needed to concentrate incident solar irradiation on the small, high efficiency cells. The objective of this study was to evaluate and quantify tracking accuracy for a performance model which would apply to similar two-axis systems. An analysis comparing CPV to traditional solar photovoltaics from an economic standpoint was conducted as well to evaluate the viability of emerging CPV technology. The research was performed using two calibrated solar radiation sensors mounted on the plane of the tracking system, normal to the sun. One sensor is held at a constant, normal angle (0 degrees) and the other is varied by a known interior angle in the range of 0 degrees to 10 degrees. This was to study the magnitude of the decrease in in irradiance as the angle deviation increases. The results show that, as the interior angle increases, the solar irradiance and thus available power available on the focal point will decrease roughly at a parabolic rate, with a sharp cutoff point at angles greater than 5 degrees. These findings have a significant impact on CPV system tracking mechanisms, which require high precision tracking in order to perform as intended.
ContributorsPodzemny, Dominic James (Author) / Reddy, Agami (Thesis director) / Kelman, Jonathan (Committee member) / Mechanical and Aerospace Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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Description
This study aims to explore the prevalence of smartphone, smartwatch, and fitness tracker ownership among college students, and compare the popularity of each device in tracking health-related habits such as physical activity, eating, and sleep. In addition, this study aims to analyze the effectiveness of each device for achieving personal

This study aims to explore the prevalence of smartphone, smartwatch, and fitness tracker ownership among college students, and compare the popularity of each device in tracking health-related habits such as physical activity, eating, and sleep. In addition, this study aims to analyze the effectiveness of each device for achieving personal health goals in all three categories. Research for this study was conducted using an Institutional Review Board (IRB) approved survey that was distributed electronically to various Greek and student organizations around Arizona State University campuses. In total, 183 responses were considered, with participants ranging from ages 18 to 23. Participants were required to own or possess a smartphone to be eligible to complete the survey. After seven days of data collection, the results were then analyzed using Qualtrics. The results revealed that smartwatch and fitness tracker ownership is not prevalent within the Arizona State University demographic. In addition, after comparing device popularity across each habit-tracking category, it is apparent that the smartphone is the most used device for tracking. Finally, when looking at device effectiveness in relation to achieving health goals, smartwatches consistently scored higher than smartphones. Supplemental research should be conducted to further explore the prevalence and effectiveness of habit tracking. This research should include a larger sample size and a more evenly spread gender demographic.
ContributorsMeyer, Allison Hope (Author) / Levinson, Simin (Thesis director) / Carr, Natasha (Committee member) / Industrial, Systems & Operations Engineering Prgm (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description

This thesis explore how current tracking technologies such as the 1D barcode, QR code, and RFID commercialized in the business world. After a comparison of the current technologies, a pitch is created for DENSEC ID and a subsequent business plan is created.

ContributorsZhao, Michelle (Author) / Reeves, James (Thesis director) / Trujillo, Rhett (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / Department of Supply Chain Management (Contributor) / Department of Information Systems (Contributor) / Watts College of Public Service & Community Solut (Contributor)
Created2022-05