Barrett

Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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Transforming Simulation Data in Repository to Visual Time Trajectories

Description
Simulations can be used to help formulate and solve complex problems. Toward this goal, the Arizona Center for Integrative Modeling and Simulation (ACIMS) is a research laboratory at Arizona State University that creates powerful tools for simulating complex systems. Their flagship simulator, DEVS-Suite, allows users to create models that can…

Simulations can be used to help formulate and solve complex problems. Toward this goal, the Arizona Center for Integrative Modeling and Simulation (ACIMS) is a research laboratory at Arizona State University that creates powerful tools for simulating complex systems. Their flagship simulator, DEVS-Suite, allows users to create models that can be simulated. The latest version of this simulator supports storing data in Postgres, a relational database that is well suited for storing millions of data points. However, though DEVS-Suite supports real-time visualizations, the simulator does not support the manipulation and visualization of the data stored in the database. As simulations become more complex, users benefit from visualizing time-based trajectories. User-defined data visualization can help gain new insight into generated simulated data.
ContributorsSchaffer, Albert (Author) / Sarjoughian, Hessam (Thesis director) / Chen, Yinong (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05

A Graph-Based Machine Learning Approach to Realistic Traffic Volume Generation

Description
In this work, we explore the potential for realistic and accurate generation of hourly traffic volume with machine learning (ML), using the ground-truth data of Manhattan road segments collected by the New York State Department of Transportation (NYSDOT). Specifically, we address the following question– can we develop a ML algorithm…

In this work, we explore the potential for realistic and accurate generation of hourly traffic volume with machine learning (ML), using the ground-truth data of Manhattan road segments collected by the New York State Department of Transportation (NYSDOT). Specifically, we address the following question– can we develop a ML algorithm that generalizes the existing NYSDOT data to all road segments in Manhattan?– by introducing a supervised learning task of multi-output regression, where ML algorithms use road segment attributes to predict hourly traffic volume. We consider four ML algorithms– K-Nearest Neighbors, Decision Tree, Random Forest, and Neural Network– and hyperparameter tune by evaluating the performances of each algorithm with 10-fold cross validation. Ultimately, we conclude that neural networks are the best-performing models and require the least amount of testing time. Lastly, we provide insight into the quantification of “trustworthiness” in a model, followed by brief discussions on interpreting model performance, suggesting potential project improvements, and identifying the biggest takeaways. Overall, we hope our work can serve as an effective baseline for realistic traffic volume generation, and open new directions in the processes of supervised dataset generation and ML algorithm design.
ContributorsOtstot, Kyle (Author) / De Luca, Gennaro (Thesis director) / Chen, Yinong (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05
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Coda: Functional Reactive Audio Development

Description
Programming front-end human computer interfaces follows a unique approach of iterative design and testing to produce a creative model envisioned by the developer and designer. Small but frequent changes to visual or audio aspects of the program are commonplace in order to implement different design ideas, implementations, and adjustments. Functional…

Programming front-end human computer interfaces follows a unique approach of iterative design and testing to produce a creative model envisioned by the developer and designer. Small but frequent changes to visual or audio aspects of the program are commonplace in order to implement different design ideas, implementations, and adjustments. Functional Reactive Programming (FRP) acts as a compelling programming paradigm towards this iterative design process, following its strength in utilizing time-varying values. Therefore, this thesis will introduce Coda, a Visual Programming Language (VPL) focused on developing audio interfaces using FRP. Coda focuses on the goal of streamlining audio interface prototyping and development, through two primary features: rapid but sensible code hot-reloading, and the use of time and I/O as an interactive development tool. These features allow Coda to greatly reduce the development cycle time commonly seen in typical, text-based programming languages. Coda also comes in its own integrated development environment (IDE) in the form of a web-application.
ContributorsShrestha, Abhash (Author) / Omais, Adam (Co-author) / De Luca, Gennaro (Thesis director) / Chen, Yinong (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05
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Coda: Functional Reactive Audio Development

Description
Programming front-end human computer interfaces follows a unique approach of iterative design and testing to produce a creative model envisioned by the developer and designer. Small but frequent changes to visual or audio aspects of the program are commonplace in order to implement different design ideas, implementations, and adjustments. Functional…

Programming front-end human computer interfaces follows a unique approach of iterative design and testing to produce a creative model envisioned by the developer and designer. Small but frequent changes to visual or audio aspects of the program are commonplace in order to implement different design ideas, implementations, and adjustments. Functional Reactive Programming (FRP) acts as a compelling programming paradigm towards this iterative design process, following its strength in utilizing time-varying values. Therefore, this thesis will introduce Coda, a Visual Programming Language (VPL) focused on developing audio interfaces using FRP. Coda focuses on the goal of streamlining audio interface prototyping and development, through two primary features: rapid but sensible code hot-reloading, and the use of time and I/O as an interactive development tool. These features allow Coda to greatly reduce the development cycle time commonly seen in typical, text-based programming languages. Coda also comes in its own integrated development environment (IDE) in the form of a web-application.
ContributorsOmais, Adam (Author) / Shrestha, Abhash (Co-author) / De Luca, Gennaro (Thesis director) / Chen, Yinong (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05

Developing Dedicated Curriculum for Dynamic Traffic Simulation With Multi-Resolution Modeling

Description

The process of learning a new skill can be time consuming and difficult for both the teacher and the student, especially when it comes to computer modeling. With so many terms and functionalities to familiarize oneself with, this task can be overwhelming to even the most knowledgeable student. The purpose…

The process of learning a new skill can be time consuming and difficult for both the teacher and the student, especially when it comes to computer modeling. With so many terms and functionalities to familiarize oneself with, this task can be overwhelming to even the most knowledgeable student. The purpose of this paper is to describe the methodology used in the creation of a new set of curricula for those attempting to learn how to use the Dynamic Traffic Simulation Package with Multi-Resolution Modeling. The current DLSim curriculum currently relates information via high-concept terms and complicated graphics. The information in this paper aims to provide a streamlined set of curricula for new users of DLSim, including lesson plans and improved infographics.
ContributorsMills, Alexander (Author) / Zhou, Xuesong (Thesis director) / Chen, Yinong (Committee member) / Barrett, The Honors College (Contributor) / Computing and Informatics Program (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05
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Mills Final Project (Spring 2022)

ContributorsMills, Alexander (Author) / Zhou, Xuesong (Thesis director) / Chen, Yinong (Committee member) / Barrett, The Honors College (Contributor) / Computing and Informatics Program (Contributor)
Created2022-05
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Components

ContributorsMills, Alexander (Author) / Zhou, Xuesong (Thesis director) / Chen, Yinong (Committee member) / Barrett, The Honors College (Contributor) / Computing and Informatics Program (Contributor)
Created2022-05
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Scopes

ContributorsMills, Alexander (Author) / Zhou, Xuesong (Thesis director) / Chen, Yinong (Committee member) / Barrett, The Honors College (Contributor) / Computing and Informatics Program (Contributor)
Created2022-05