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Description
We created an Android application, Impromp2, which allows users to search for and save events of interest to them in the Phoenix area. The backend, built on the Parse platform, gathers events daily using Web services and stores them in a database. Impromp2 was designed to improve upon similarly-purposed apps available for Android devices in several key ways, especially in user interface design and data interaction capability. This is a full-stack software project that explores databases and their performance considerations, Web services, user interface design, and the challenges of app development for a mobile platform.
ContributorsNorth, Joseph Robert (Author) / Balasooriya, Janaka (Thesis director) / Nakamura, Mutsumi (Committee member) / Faucon, Philippe (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
MeetPoint is a project derived from Computer Science with a focus upon applications to mobile. The application is created to provide users with the ability to meet up with certain individuals to accomplish a specific task, in this case studying. The project idea came from the creator wanting to meet up with a friend in order to converse about an upcoming exam. The creator knew where the person lived, but could not easily come up with a location for the two to meet that would be a reasonable distance from both of them. Hence came the idea for a mobile application to complete those actions for the user. The project focuses upon implementation in a school setting in which the meetings would actually take place. For means of this project, the locations were fixed to on campus at Arizona State University. The committee felt that this would scope the project correctly for its two-semester creation while still demonstrating how to fulfill the task at hand. Android is the operating system of choice for the mobile application due to it being Java, which was the most familiar language to the student. MeetPoint provides users with an easy to navigate and familiar front-end while harnessing the power of a database in the back-end. The application hides the intricacies of the back-end from the user in order to better provide a comfortable user experience. A lot of the project was designed around providing a comfortable user experience by keeping the application familiar to the user in that it maintains similarities with other popular mobile applications.
ContributorsWallace, Tyler L (Author) / Balasooriya, Janaka (Thesis director) / Faucon, Christophe (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
Description
A common challenge faced by students is that they often have questions about course material that they cannot ask during lecture time. There are many ways for students to have these questions answered, such as office hours and online discussion boards. However, office hours may be at inconvenient times or locations, and online discussion boards are difficult to navigate and may be inactive. The purpose of this project was to create an Alexa skill that allows users to ask their Alexa-equipped device a question concerning their course material and to receive an answer retrieved from discussion board data. User questions are mapped to discussion board posts by use of the cosine similarity algorithm. In this algorithm, posts from the discussion board and the user’s question are converted into mathematical vectors, with each term in the vector corresponding to a word. The values of these terms are computed based on the word’s frequency within the vector’s corresponding document, the frequency of that word within all the documents, and the length of the document. After the question and candidate posts are converted into vectors, the algorithm determines the post most similar to the user’s question by computing the angle between the vectors. With the most similar discussion board post determined, the user receives the replies to the post, if any, as their answer. Users are able to indicate to their Alexa device whether they were satisfied by the answer, and if they were unsatisfied then they are given the opportunity to either rephrase their question or to have the question sent to a database of unanswered questions. The professor can view and answer the questions in this database on a website hosted by use of Amazon’s Simple Storage Service. The Alexa skill does well at answering questions that have already been asked in the discussion board. However, the skill depends heavily on the user’s word choice. Two questions that are semantically identical but different in phrasing are often given different answers. This is because the cosine algorithm measures similarity on the basis of word overlap, not semantic meaning, and thus the application never truly “understands” what type of answer the user desires. Improving the performance of this Alexa skill will require a more advanced question answering algorithm, but the limitations of Amazon Web Services as a development platform make implementing such an algorithm difficult. Nevertheless, this project has created the basis of a question answering Alexa skill by demonstrating a feasible way that the resources offered by Amazon can be utilized in order to build such an application.
ContributorsBaker, Matthew Elias (Author) / Chen, Yinong (Thesis director) / Balasooriya, Janaka (Committee member) / Historical, Philosophical & Religious Studies (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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
Description
Since the release of Discord in March of 2015 it has become the choice VoIP client for 25 million users, pulling in more each day from many sources including online video games with no voice chat, such as League of Legends. With such an expansive user base and many servers hosting multiple users during all times of the day, for a server admin to always be monitoring users is unreasonable. AhriBot aims to solve this problem by providing general administration through a command system to a server while it is logged onto that server. Specifically, AhriBot will be tailored for use on servers where League of Legends is primarily being played. Using commands issued to AhriBot, users can get statistics about their current game. By providing a set of features for general users, and a more specific set of features for League of Legends, AhriBot provides a greater experience and will help players to have quicker access to information about the game without having to travel to multiple outside sources.
ContributorsKoehler, Brendan Joseph (Author) / Balasooriya, Janaka (Thesis director) / Faucon, Philippe (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-12
Description
CDA - short for "Career Development Application" - is an iOS application that aims to help students who may not have inside connections on Wall Street break into the notoriously hard-to-enter investment banking industry. The application does this by asking the user a few questions about his or her characteristics, classifying him or her into different categories based on his or her response, then tailoring the information displayed to him or her based on his or her classifications. The information, compiled by my thesis partner, is stored in a cloud-based database system to facilitate easy content updates without having to recompile and resubmit the application to the App Store. Because the application shows information to its users based on certain characteristics of the users, such as grade level, previous experience in the industry, and the geographical region and prestigiousness of the school he or she attends, the application is more useful than simply showing the same information to every student regardless of his or her circumstances. While the current application presents useful information in a compact, easy-to-use format, there are still many improvements that could be made. The application could be more sensitive to minor mistakes made by the user trying to answer the classification questions, and it could present information in an even easier-to-use format. Still, the application as it stands could be extremely useful for helping students who are not the traditional "Wall Street types" to enter the competitive, prestigious investment banking industry.
ContributorsBrawka, Rachel (Author) / Balasooriya, Janaka (Thesis director) / Bennett, Jack (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2018-05
Description
Bank institutions employ several marketing strategies to maximize new customer acquisition as well as current customer retention. Telemarketing is one such approach taken where individual customers are contacted by bank representatives with offers. These telemarketing strategies can be improved in combination with data mining techniques that allow predictability of customer information and interests. In this thesis, bank telemarketing data from a Portuguese banking institution were analyzed to determine predictability of several client demographic and financial attributes and find most contributing factors in each. Data were preprocessed to ensure quality, and then data mining models were generated for the attributes with logistic regression, support vector machine (SVM) and random forest using Orange as the data mining tool. Results were analyzed using precision, recall and F1 score.
ContributorsEjaz, Samira (Author) / Davulcu, Hasan (Thesis advisor) / Balasooriya, Janaka (Committee member) / Candan, Kasim (Committee member) / Arizona State University (Publisher)
Created2016
Description
Improving accessibility to public buildings by people with special needs has been an important societal commitment that is mandated by federal laws. In the information age, accessibility can mean more than simply providing physical accommodations like ramps for wheel-chairs. Better yet, accessibility will be fundamentally improved, if a user can be made aware of important location-specific information like functions of offices near the user within a building. A smart environment may help a new person quickly get acquainted about the environment. Such features can be more critical for cases of making an indoor environment more accessible to people with visual impairment. With the intention to promote the integration of visually impaired people in society, this thesis efforts on methodologies for building smart and accessible indoor office environments with the help of Apple's Bluetooth Low Energy (BLE) technology called iBeacon to provide location awareness and enable easy access to information about the environment to people with visual impairment. This thesis presents work done on developing an iterative based approach in improving the configuration of given number of iBeacons to gain optimal signal coverage in a given office space environment and enabling smart features such as tagging points of interest and push notifications. This work aims to exploit the idea to look at visual impairment beyond the level of disability and cash it at as an opportunity to bring about a change of style of living. This work develops a methodology by introducing an end-to-end systems that uses intelligent server side and visually-impaired-friendly client side interfaces to give a prototype of an assistive technology to help them do basic activities like getting familiarized about an office environment without the need for asking for assistance.
ContributorsLagisetty, Jashmi (Author) / Li, Baoxin (Thesis advisor) / Hedgpeth, Terri (Committee member) / Balasooriya, Janaka (Committee member) / Arizona State University (Publisher)
Created2017
ContributorsShah, Beejal (Author) / Nakamura, Mutsumi (Thesis director) / Balasooriya, Janaka (Committee member) / Wilkerson, Kelly (Committee member) / Ira A. Fulton School of Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2012-12
Description
It is important for organizations and businesses to have some kind of online presence, as there are enormous benefits, including utilizing the power of web languages to provide services for people. However, creating a website is difficult, and often expensive. While successful businesses can use their profits to develop a costly website, organizations are not so lucky and can't afford to pay large amounts of money for theirs. Thus, the goal of this project was to provide a complete website to the Card Trick Quilters organization found in Show Low, Arizona. The website serves as both a learning experience, to see exactly what it takes to construct a website from the ground up, and a service project that will provide the Card Trick Quilters with a website that performs various services for its members, with functionality that is completely unique to the Arizona quilting community at large. The creation of the website required learning several different skills in regards to web design, such as databases, scripting languages, and even elements of graphic design. The uniqueness of the website comes from the creation of an online submission form for the annual quilt show hosted by the quilters, and an email reminder system where members of the community can submit their addresses and receive emails when there is an upcoming meeting. While there will no doubt be changes and improvements to the website in the future, the website is currently live and ready for the community to use.
ContributorsSchwarting, Jessa Lynn (Author) / Balasooriya, Janaka (Thesis director) / Nakamura, Mutsumi (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor) / School of Computing, Informatics, and Decision Systems Engineering (Contributor)
Created2016-05