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Description
Each part of the book is written from a different relative, literarily-inclined perspective. The portion of this submission that captures what my experience as a Barrett student has lended to my approved manuscript (by Dorrance Publishing Co.) lies with the excerpted material from Part IV. Below is the table of contents for the novel work itself, as well as the styles of writing assumed per part.
ContributorsDampare, Patrick Nelu (Author) / Blasingame, James (Thesis director) / Glenn, Bruce (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
"The Reality of Imagination" is short animated film about a young girl name Isabel who, with her sketchbook and box of crayons, demonstrates the power of imagination through her drawings. From her own bedroom, her simple sketches transform into more complicated, realistic drawings, bringing her artistic creation to life. From a bouncing red ball, to flying on a plane, to a thunderstorm, her world extends beyond her sketchbook. The overall message is to demonstrate the importance of art and the power of imagination, especially seen from the perspective of a young child where much of that development is evident. In addition, further exploration of the film industry and learning about the production process was conducted to continue exercising my interest for film editing and graphic designing. This involved devising the script, selecting the appropriate actors, planning the production set, purchasing the tools and equipment, putting together a production crew, and applying the concepts learned about editing to create a short film that was approximately 3 minutes long. The editing software application used for this production was Final Cut Pro X distributed by Apple while the camera used was a Canon EOS Rebel T6. At least three different editing techniques were applied in the film and included stop-motion, keying, and split-screening. Furthermore, other concepts such as transforming and resizing video clips were applied along with learning to use the audio and visual effect resources available from Final Cut Pro X to enhance the quality of the film. An in-depth analysis of the entire process is also given in detailed.
ContributorsReyes, Diana (Author) / Ganssle, Gene (Thesis director) / Giner, Oscar (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
This thesis project examines the likely factors that cause students to drop out of Barrett, the Honors College. Honors literature regarding retention and attrition suggests four areas encompassing individual student attributes and honors program characteristics which may impact a student's decision to stay or leave an Honors College. The primary question in focus is, "Why do students leave the Honors College?" followed by the tertiary questions of, "what can be done to mitigate this occurrence?" and, "how does this affect the quality of an honors education?" Assessing attrition can be broken down into biographical, cognitive-behavioral, socio-environmental, and institutional-instrumental components. Students who graduated with honors and those who did not graduate with honors were assessed on these four components through survey methods and qualitative interviews to investigate specific reasons why students leave the honors program. The results indicated a wide array of reasons impacting student attrition, the most significant being negative perceptions towards (1) honors courses and contracts, (2) difficulty completing a thesis project, and (3) finding little to no value in "graduating with honors." Each of these reasons reflect the institutional-instrumental component of student attrition, making it the most salient group of reasons why students leave the Honors College. The socio-environmental component also influences student attrition through peer influence and academic advisor support, though this was found to be within the context of institutional-instrumental means. This project offers solutions to ameliorate each of the four components of attrition by offering standardized honors contracts and more mandatory honors classes, mandatory thesis preparatory courses instead of workshops, and emphasizing the benefit Barrett gives to students as a whole. These solutions aim at increasing graduation rates for future honors students at Barrett as well as improving the overall quality of an honors education.
ContributorsSanchez, Gilbert Xavier (Author) / Parker, John (Thesis director) / O'Flaherty, Katherine (Committee member) / School of Criminology and Criminal Justice (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
As mobile devices have risen to prominence over the last decade, their importance has been increasingly recognized. Workloads for mobile devices are often very different from those on desktop and server computers, and solutions that worked in the past are not always the best fit for the resource- and energy-constrained computing that characterizes mobile devices. While this is most commonly seen in CPU and graphics workloads, this device class difference extends to I/O as well. However, while a few tools exist to help analyze mobile storage solutions, there exists a gap in the available software that prevents quality analysis of certain research initiatives, such as I/O deduplication on mobile devices. This honors thesis will demonstrate a new tool that is capable of capturing I/O on the filesystem layer of mobile devices running the Android operating system, in support of new mobile storage research. Uniquely, it is able to capture both metadata of writes as well as the actual written data, transparently to the apps running on the devices. Based on a modification of the strace program, fstrace and its companion tool fstrace-replay can record and replay filesystem I/O of actual Android apps. Using this new tracing tool, several traces from popular Android apps such as Facebook and Twitter were collected and analyzed.
ContributorsMor, Omri (Author) / Zhao, Ming (Thesis director) / Zhao, Ziming (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Limited research has analyzed how culture might influence the utilization of social support. To address this deficiency, the present study investigated preferences for social support among East-Asian, Hispanic, and White participants. In this set of studies, a comprehensive social support taxonomy was constructed in order to better identify and conceptualize the various support subtypes found in the literature. Based on the taxonomy, a questionnaire measure for preferences of different types of social support was developed. Participants were asked to rate how helpful they would find each supportive action made by a friend or family member on a seven-point Likert scale. Based on the responses of 516 Amazon Mechanical Turk workers, a five-factor solution for an 18-item scale emerged from a factor analysis. The social support subscales supported by the factor analysis were emotional, tangible, self-referencing, reappraisal, and distraction. The questionnaire was used to assess similarities and differences among East-Asian, Hispanic, and White participants in terms of preferences for providing and receiving social support. Based on the results of 299 college-age students, an analysis of variance on individually standardized ("ipsatized") responses was conducted in order to eliminate the positioning effect of culture. A main effect of ethnicity (p=.05) and an interaction between ethnicity and sex (p=.02) were significant for the preference of tangible social support. A main effect of ethnicity (p=.04) and an interaction between ethnicity and sex (p=.05) were significant for the preference of reappraisal social support. Clinical implications of our research findings are discussed.
ContributorsCampagna, Allegra Xiu Hong (Author) / Shiota, Michelle N. (Thesis director) / Campos, Belinda (Committee member) / Yee, Claire (Committee member) / School of Life Sciences (Contributor) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Bioscience High School, a small magnet high school located in Downtown Phoenix and a STEAM (Science, Technology, Engineering, Arts, Math) focused school, has been pushing to establish a computer science curriculum for all of their students from freshman to senior year. The school's Mision (Mission and Vision) is to: "..provide a rigorous, collaborative, and relevant academic program emphasizing an innovative, problem-based curriculum that develops literacy in the sciences, mathematics, and the arts, thus cultivating critical thinkers, creative problem-solvers, and compassionate citizens, who are able to thrive in our increasingly complex and technological communities." Computational thinking is an important part in developing a future problem solver Bioscience High School is looking to produce. Bioscience High School is unique in the fact that every student has a computer available for him or her to use. Therefore, it makes complete sense for the school to add computer science to their curriculum because one of the school's goals is to be able to utilize their resources to their full potential. However, the school's attempt at computer science integration falls short due to the lack of expertise amongst the math and science teachers. The lack of training and support has postponed the development of the program and they are desperately in need of someone with expertise in the field to help reboot the program. As a result, I've decided to create a course that is focused on teaching students the concepts of computational thinking and its application through Scratch and Arduino programming.
ContributorsLiu, Deming (Author) / Meuth, Ryan (Thesis director) / Nakamura, Mutsumi (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Technology both stimulates and is simultaneously stimulated by people and society. As a classic example, games have shaped and have been shaped by people's preferences. Today, online computer games are roaming everywhere, attracting and connecting players all over the world. However, at the same time, a lesser form of technology has emerged alongside of online computer games. It is known as trading card games (TCGs). Surprisingly, TCGs have been able to compete on same level as online computer games. Looking at my past experiences, I offered a theory that encompasses three forms of social interactions to explain for TCGs' success. The three types of interactions are: interaction of identities, interaction of interests, and interaction of influences. Interaction of identities is the constant interchange of player information and knowledge through different mediums. Interaction of interests involves the exchange and quality of the tangible and intangible. Interaction of influences deals with the fluid flow of communication and ideas that players use to change an outcome, however consciously or unconsciously done. Not one of these three factors of interactions act along; each is a part of a grand picture of interaction of interactions. Altogether, these factors explain, at least in part, the current popularity of trading card games as a relatively simple technology in a society with a plethora of technologically advanced entertainments and games such as virtual computer gaming. A web-based survey was devised to further examine the effects of the three forms of interactions have on online computer game and trading card game players. The results were consistent with the premises of the three-factor interaction theory.
ContributorsQin, Sheng (Author) / Eaton, John P. (Thesis director) / Olsen, G. Douglas (Committee member) / Department of Psychology (Contributor) / Department of Management (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This project's goal was to design a Central Processing Unit (CPU) incorporating a fairly large instruction set and a multistage pipeline design with the potential to be used in a multi-core system. The CPU was coded and synthesized with Verilog. This was accomplished by building on the CPU design from fundamentals learned in CSE320 and increasing the instruction set to resemble a proper Reduced Instruction Set Computing (RISC) CPU system. A multistage pipeline was incorporated to the CPU to increase instruction throughput, or instructions per second. A major area of focus was on creating a multi-core design. The design used is master-slave in nature. The master core instructs the sub-cores where they should begin execution, the idea being that the operating system or kernel will be executing on the master core and the "user space" programs will be run on the sub-cores. The rationale behind this is that the system would specialize in running several small functions on all of its many supported cores. The system supports around 45 instructions, which include several types of jumps and branches (for changing the program counter based on conditions), arithmetic operations (addition, subtraction, or, and, etc.), and system calls (for controlling the core execution). The system has a very low Clocks per Instruction ratio (CPI), but to achieve this the second stage contains several modules and would most likely be a bottleneck for performance if implemented. The CPU is not perfect and contains a few errors and oversights, but the system as a whole functions as intended.
ContributorsKolden, Brian Andrew (Author) / Burger, Kevin (Thesis director) / Meuth, Ryan (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Observations of four times ionized iron and nickel (Fe V & Ni V) in the G191-B2B white dwarf spectrum have been used to test for variations in the fine structure constant, α, in the presence of strong gravitational fields. The laboratory wavelengths for these ions were thought to be the cause of inconsistent conclusions regarding the
variation of α as observed through the white dwarf spectrum. This thesis presents 129 revised Fe V wavelengths (1200 Å to 1600 Å) and 161 revised Ni V wavelengths (1200 Å to 1400 Å) with uncertainties of approximately 3 mÅ. A systematic calibration error
is identified in the previous Ni V wavelengths and is corrected in this work. The evaluation of the fine structure variation is significantly improved with the results
found in this thesis.
variation of α as observed through the white dwarf spectrum. This thesis presents 129 revised Fe V wavelengths (1200 Å to 1600 Å) and 161 revised Ni V wavelengths (1200 Å to 1400 Å) with uncertainties of approximately 3 mÅ. A systematic calibration error
is identified in the previous Ni V wavelengths and is corrected in this work. The evaluation of the fine structure variation is significantly improved with the results
found in this thesis.
ContributorsWard, Jacob Wolfgang (Author) / Treacy, Michael (Thesis director) / Alarcon, Ricardo (Committee member) / Nave, Gillian (Committee member) / Department of Physics (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Preventive maintenance is a practice that has become popular in recent years, largely due to the increased dependency on electronics and other mechanical systems in modern technologies. The main idea of preventive maintenance is to take care of maintenance-type issues before they fully appear or cause disruption of processes and daily operations. One of the most important parts is being able to predict and foreshadow failures in the system, in order to make sure that those are fixed before they turn into large issues. One specific area where preventive maintenance is a very big part of daily activity is the automotive industry. Automobile owners are encouraged to take their cars in for maintenance on a routine schedule (based on mileage or time), or when their car signals that there is an issue (low oil levels for example). Although this level of maintenance is enough when people are in charge of cars, the rise of autonomous vehicles, specifically self-driving cars, changes that. Now instead of a human being able to look at a car and diagnose any issues, the car needs to be able to do this itself. The objective of this project was to create such a system. The Electronics Preventive Maintenance System is an internal system that is designed to meet all these criteria and more. The EPMS system is comprised of a central computer which monitors all major electronic components in an autonomous vehicle through the use of standard off-the-shelf sensors. The central computer compiles the sensor data, and is able to sort and analyze the readings. The filtered data is run through several mathematical models, each of which diagnoses issues in different parts of the vehicle. The data for each component in the vehicle is compared to pre-set operating conditions. These operating conditions are set in order to encompass all normal ranges of output. If the sensor data is outside the margins, the warning and deviation are recorded and a severity level is calculated. In addition to the individual focus, there's also a vehicle-wide model, which predicts how necessary maintenance is for the vehicle. All of these results are analyzed by a simple heuristic algorithm and a decision is made for the vehicle's health status, which is sent out to the Fleet Management System. This system allows for accurate, effortless monitoring of all parts of an autonomous vehicle as well as predictive modeling that allows the system to determine maintenance needs. With this system, human inspectors are no longer necessary for a fleet of autonomous vehicles. Instead, the Fleet Management System is able to oversee inspections, and the system operator is able to set parameters to decide when to send cars for maintenance. All the models used for the sensor and component analysis are tailored specifically to the vehicle. The models and operating margins are created using empirical data collected during normal testing operations. The system is modular and can be used in a variety of different vehicle platforms, including underwater autonomous vehicles and aerial vehicles.
ContributorsMian, Sami T. (Author) / Collofello, James (Thesis director) / Chen, Yinong (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05