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In 2018, the United States generated 37.4 million more U.S. tons of paper and cardboard material compared to in 1960 (EPA, 2020). As the United States produces a disproportionate amount of packaging waste every year when accounting for population size, it has become increasingly difficult to mitigate waste production, lessen the environmental impact of generating more paperboard materials, and move towards a more ethical circular economy. In efforts to adopt the principles of a green economy, deviate from the linear supply chain model, minimize packaging waste, and encourage more sustainable lifestyles, we developed a business centered around a circular, service based model called Room & Cardboard. Our initiative collects cardboard waste generated in and around the ASU community and repurposes it for dorm-style furniture available for students to rent throughout the school year. Using cardboard, we have built prototypes for two products (desk lamps and shoe racks) that are sturdy, visually pleasing, and recyclable. Our initiative helps to reduce cardboard packaging waste by upcycling cardboard waste into products that will increase the lifespan of the cardboard material. At the end of the product’s life span, in cases of severe damage, we will turn the product into a seed board made with blended cardboard paste that can then be used to plant a succulent we will make available to students to buy as dorm decor. The feedback on our initiative through online surveys and in-person tabling has generated enough traction for Dean Rendell of Barrett, the Honors College at Arizona State University to consider a test-drive of our products in the upcoming Fall semester.
ContributorsWerner, Isabella (Co-author) / Islam, Shauda (Co-author) / Norvell, Macey (Co-author) / Byrne, Jared (Thesis director) / Marseille, Alicia (Committee member) / Jordan, Amanda (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
This project explores how modern mobile technology can be used to provide support for domestic violence victims. The goal of the project is to create a proof-of-concept iOS mobile application that maintains a discreet safety front and provides domestic violence victims with resources and safety planning. The design and implementation are disguised as a hair salon app to maintain a low profile on the user’s phone. The HairHelp app features quick exit navigation, a secure database to store a user’s private and personal documents in case of emergency, and a checklist of safety planning measures. The steps taken in this project serve as the foundation for a larger project in the long term.
ContributorsShovkovy, Sophia (Author) / Balasooriya, Janaka (Thesis director) / Wilkey, Douglas (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
When planning a road trip today, there are solutions that let the user know what comes along their route, but the user is often presented with too much information, which can overwhelm the user. They are provided suggestions all along the route, not just at those times when they would be needed. RoutePlanner simply takes all that information and only presents that data to the user, that they would need at a particular time. Gas station suggestions would show when the gas tank range is going to be hit soon, and restaurant suggestions would only be shown around lunch time. The iOS app takes in the users origin and destination and provides the user the route as given by GoogleMaps, and then various stop suggestions at their given time. Each route that is obtained, is broken down into a number of steps, which are basically a connection of coordinate points. These coordinate point collections are used to point to a location at a certain distance or duration away from the origin. Given a coordinate, we query the APIs for places of interest and move to the next stop, until the end of the route.
ContributorsDamania, Harsh Abhay (Author) / Balasooriya, Janaka (Thesis director) / Faucon, Christophe (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2014-12
Description
As technology's influence pushes every industry to change, healthcare professionals must move to a more connected model. The nearly ubiquitous presence of smartphones presents a unique opportunity for physicians to collect and process data from their patients more frequently. The Mayo Clinic, in partnership with the Barrett Honors College, has designed and developed a prototype smartphone application targeting palliative care patients. The application collects symptom data from the patients and presents it to the doctors. This development project serves as a proof-of-concept for the application, and shows how such an application might look and function. Additionally, the project has revealed significant possibilities for the future of the application.
ContributorsGaney, David Howard (Author) / Balasooriya, Janaka (Thesis director) / Lipinski, Christopher (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
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
The face of computing is constantly changing. Wearable computers in the form of glasses or watches are becoming more and more common. These devices have very small screens (measured in millimeters), and users often interact with them through voice input and audio feedback. Weather is one of the most regularly checked app category on smart devices, but weather results on these devices are often limited to raw data, canned responses, or sentence templates with numbers plugged in. The goal for this project was to build a system that could generate weather forecast text, which could then be read to a user through text-to-speech. By using methods in language generation, the system can generate weather forecast text in millions of different ways. This is all computed locally, and it covers every possible weather case. In order to generate natural weather forecast texts, the system retrieved raw weather data from a weather API and created the text through six methods: content determination, document structuring, sentence aggregation, lexical choice, referring expression generation, and text realization. Content determination is the process of deciding on what information to include in a computer generated text. The document structuring phase deals with the order and structure of the information. Sentence aggregation is the merging of similar sentences to improve readability and to reduce redundancy. Lexical choice is the process of putting words to concepts. Referring expression generation is the process of identifying objects, regions, time periods, and locations within a text. Finally text realization involves creating sentences with proper syntax, morphology, and orthography. Through these six stages, a system was developed that could generate unique weather forecast text from raw data accurately and efficiently. It was built for iOS devices with Apple's new programming language, Swift, and it will be ported to the Apple Watch when the API is fully opened to developers.
ContributorsJorgensen, Jacob Paul (Author) / Baral, Chitta (Thesis director) / Faucon, Christophe (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
Description
Finding applications on Apple’s iOS device Home screen is a difficult task since applications are arranged in a disorganized grid of icons and small labels. By “jailbreaking” an iOS device, it is possible to install third party “tweaks” that modify the operating system to customize and fix annoying aspects of iOS. Current jailbreak tweaks exist that can launch applications differently than Apple’s stock Home screen, but they leave much to be desired in terms of functionality, usability, and aesthetics. HomeList is a watchOS-inspired tweak I created to add an easy to read, quick to navigate, and visually appealing list of applications integrated directly into the Home screen. Research into Apple’s private iOS frameworks was used to figure out how to perform tasks required by an app launcher as well as match iOS design aesthetics.
ContributorsBoxberger, Blake Palmer (Author) / Balasooriya, Janaka (Thesis director) / Faucon, Philippe Christophe (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Less than half of all premedical applicants get accepted into a medical school, 39.3% of applicants to be precise, and that statistic is based on the number of matriculants out of the total applicants in 2015. With such a discouraging acceptance rate, many students who start out as premed are often not towards the end of their undergraduate career and post-graduation because they do not feel prepared for medical school. It’s difficult for premed students to find all the information they need in one place rather than going from place to place or school website to school website. Additionally, it can be a hassle for premeds to keep track of all their coursework and calculate separate GPAs for each category especially due to how annoying Excel spread sheets can be. This is where the conceptualization of Premed Portfolio comes in. Premed Portfolio is a prototype mobile application. Premed Portfolio aims to streamline the process of preparing for medical school by guiding students to create a portfolio aimed to address the most important aspects of a medical school application. Students will be able to keep track of their cumulative GPA, BCPM (also known as science/math) GPA, MCAT Scores, prerequisite coursework and many more targeted areas of medical school. Premed Portfolio will also hope to use the stats that students provide and educate them on their chances of getting into medical school.
ContributorsSiddique, Shabab (Co-author, Co-author) / Rahman, Ahnaf (Co-author) / Patel, Dhruv (Co-author) / Sarwat Abdelghany Aly Elsayed, Mohamed (Thesis director) / Coursen, Jerry (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
RecyclePlus is an iOS mobile application that allows users to be knowledgeable in the realms of sustainability. It gives encourages users to be environmental responsible by providing them access to recycling information. In particular, it allows users to search up certain materials and learn about its recyclability and how to properly dispose of the material. Some searches will show locations of facilities near users that collect certain materials and dispose of the materials properly. This is a full stack software project that explores open source software and APIs, UI/UX design, and iOS development.
ContributorsTran, Nikki (Author) / Ganesh, Tirupalavanam (Thesis director) / Meuth, Ryan (Committee member) / Watts College of Public Service & Community Solut (Contributor) / Department of Information Systems (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Charleston, South Carolina currently faces serious annual flooding issues due to tides and rainfall. These issues are expected to get significantly worse within the next few decades reaching a projected 180 days a year of flooding by 2045 (Carter et al., 2018). Several permanent solutions are in progress by the City of Charleston. However, these solutions are years away at minimum and faced with development issues. This thesis attempts to treat some of the symptoms of flooding, such as navigation, by creating an iPhone application which predicts flooding and helps people navigate around it safely. Specifically, this thesis will take into account rainfall and tide levels to display to users actively flooded areas of downtown Charleston and provide routing to a destination from a user’s location around these flooded areas whenever possible.
ContributorsSalisbury, Mason (Author) / Balasooriya, Janaka (Thesis director) / Faucon, Christophe (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05