Matching Items (3)
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- All Subjects: Databases
- Creators: School of Music
- Resource Type: Text
Description
With the development of technology, there has been a dramatic increase in the number of machine learning programs. These complex programs make conclusions and can predict or perform actions based off of models from previous runs or input information. However, such programs require the storing of a very large amount of data. Queries allow users to extract only the information that helps for their investigation. The purpose of this thesis was to create a system with two important components, querying and visualization. Metadata was stored in Sedna as XML and time series data was stored in OpenTSDB as JSON. In order to connect the two databases, the time series ID was stored as a metric in the XML metadata. Queries should be simple, flexible, and return all data that fits the query parameters. The query language used was an extension of XQuery FLWOR that added time series parameters. Visualization should be easily understood and be organized in a way to easily find important information and details. Because of the possibility of a large amount of data being returned from a query, a multivariate heat map was used to visualize the time series results. The two programs that the system performed queries on was Energy Plus and Epidemic Simulation Data Management System. By creating such a system, it would be easier for people of the project's fields to find the relationship between metadata that leads to the desired results over time. Over the time of the thesis project, the overall software was completed, however the software must be optimized in order to take the enormous amount of data expected from the system.
ContributorsTse, Adam Yusof (Author) / Candan, Selcuk (Thesis director) / Chen, Xilun (Committee member) / Barrett, The Honors College (Contributor) / School of Music (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
Description
Crescendo, an after school program that was created to fulfill the Thesis/Creative Project requirement for Barrett, the Honors College, linked musical excellence with academic excellence in pursuit of social change for sixty of Tempe's underprivileged students in Thew Elementary School. This program focused on five main objectives: musical excellence through refined music education, academic excellence through tutorship, promotion of a positive self-image through community performances, development of strong communication skills through ensemble experience, and accessibility to students by providing the program free of cost. Students enrolled in this program were involved in musical rehearsal, college readiness sessions, a field trip to the Musical Instrument Museum, a music performance for the community, and academic assistance. Results of the overall effectiveness of the program were measured through a pre/post survey that was administered to the students and through dialogue with the teachers and parents of the participating students. The literary component of this project discusses the need for the integrations of outside arts organizations, like Crescendo, into schools, outlines the startup tasks of an arts education program (i.e. acquiring funding, designating volunteers, receiving permission, pinpointing a group of participants, etc.), offers before/after snapshot of the progress of the student participants, and provides a comparison to other programs of its type.
ContributorsGamboa, Stephen Allen (Author) / Smith, J.B. (Thesis director) / Creviston, Hannah (Committee member) / Barrett, The Honors College (Contributor) / School of Music (Contributor)
Created2014-05
Description
This creative project is the first draft of a database of financial records from Arizona law enforcement's use of the state asset forfeiture program from fiscal 2011-2015. Asset forfeiture is a program by which law enforcement can seize property suspected to have been used in a crime and can then use the property, cash, or proceeds from the property's auction for its own purposes, raising questions of conflicts of interest. The paper explains the methodology and goals for the database, while the database itself represents more than 11,000 pages of financial records and is more than 70,300 cells large.
ContributorsMahoney, Emily Livingston (Author) / Doig, Steve (Thesis director) / Petchel, Jacqueline (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / School of Music (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05