Matching Items (5)
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- All Subjects: ios
- Creators: Faucon, Christophe
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
I have created a business plan for the idea of the development of an iOS mobile application called MoveGroove. MoveGroove plans to be a simple, yet engaging application that is designed to maintain a runner's desired pace through music modulation. MoveGroove will allow an individual to set his or her appropriate desired running or jogging pace, and will adjust (speed up or slow down) the music to match their desired pace. It will not be focused on direct competition, but rather, progress. MoveGroove is catered to all ages and types of individuals, whether the individual is a marathon runner or a power-walker through the neighborhood. This iOS application will allow individuals to remain focused, entertained, and engaged. This business plan will allow the reader to understand the foundation of the different types of operating systems resulting in the reasons for creating the application, MoveGroove; how to use the application to provide the mode effective results; and how MoveGroove will contribute to the mobile market. Additionally, within the business plan are categories that allow an individual to determine and compare its growth and marketability against other competitors in the market system. Ultimately, within the current mobile application market, there are over one million applications \u2014 the number of applications is continuing to increase each year. Applications are becoming a large part of the mobile phone. This particular application, MoveGroove, will provide a new way in the mobile market that will increase the productivity of individuals while producing a unique blend of recreational and goal-setting values as they exercise.
ContributorsTon, Victoria Marie (Co-author) / Goyette, Steven (Co-author) / Peck, Sidnee (Thesis director) / Faucon, Christophe (Committee member) / School of Life Sciences (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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
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
My thesis is a creative project in which I designed, developed, marketed, and sold a mobile application on the iOS (iPhone) platform. In addition to developing a mobile application, I also formed a Limited Liability Company, Flem LLC, which I will own, manage, and operate for the duration of this project and beyond the thesis project. Flem LLC allows me to create a unique brand for my company, separate from myself, as well as providing legal protection for my personal assets. My initial application is titled "Derpy Calc". It is a basic calculator for iPhone capable of adding, subtracting, multiplying, dividing, and taking the square root of positive, negative, and decimal numbers. Derpy Calc is unique because before it will output an answer, Derpy, the calculator's personality, will make a remark or ask a question that is factual, random, or silly. This application is targeted at teenagers and young adults and the outputs Derpy gives will be targeted those demographic. The purpose of this application is to provide humor and spontaneity to the process of doing math and is currently the only iOS application with that focus. Derpy debuted on the Apple App store on March 1st 2013. As of March 27th, it is on Version 1.2, has had 457 advertisement views on 328 downloads. It has earned Flem LLC a total of $0.75 in advertising revenues.
ContributorsFleming, William Patrick (Author) / Peck, Sidnee (Thesis director) / Nemanich, Louise (Committee member) / Faucon, Christophe (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / School of Accountancy (Contributor)
Created2013-05