Thesis (M.App.Sc.) - Carleton University, 2005. / Includes bibliographical references (p. 99-100). Also available in electronic format on the Internet.

Thesis (M.S.)--West Virginia University, 2005. / Title from document title page. Document formatted into pages; contains xi, 100 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 81-84).

Thesis (M.A.)--The University of North Carolina at Greensboro, 2010. / Directed by Rick Bunch; submitted to the Dept. of Geography. Title from PDF t.p. (viewed Jul. 7, 2010). Includes bibliographical references (p. 85-87).

Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2006. / Andrew, Alfred, Committee Member ; Durgin, Gregory, Committee Member ; Li, Geoffrey, Committee Member ; Ingram, Mary Ann, Committee Member ; Stuber, Gordon, Committee Chair.

Thesis (Ph. D.)--Electrical and Computer Engineering, Georgia Institute of Technology, 2006. / Leach, William M., Committee Member ; Sills, James A., Committee Member ; Kenney, J. Stevenson, Committee Chair ; Zhou, G. Tong, Committee Co-Chair ; Fenney, Robert K., Committee Member.

abstract: The purpose of this study was to gather qualitative data on different and novel methods used to self-monitor diet and exercise during a weight loss study. Participants who used either a traditional paper and pencil method or a smart phone weight loss app for diet and exercise tracking were recruited for focus groups. Focus group discussions centered on the liked and disliked aspects of recording, perceived behavior changes, and suggestions for improved self-monitoring. Focus groups were organized based on the method of self-monitoring. The app group tracked calorie intake and expenditure via the "Lose It" app on their smart phones. The paper & pencil group recorded exercise and food intake in a journal and self-regulated diet based on recommended servings from each food group (or exchange lists). Focus group sessions were audio-recorded, transcribed and coded by the researcher and an independent coder. Results indicated that app participants liked the convenience, affordability, and user-friendly features, but wanted more nutrition advice. App participants liked self-managing their diet, not restricting certain foods or food groups and allowing for indulgences by balancing calories and exercise. Also, they desired an accurate estimation of energy expenditure from an app, based on individual characteristics (i.e., gender and age). Participants who recorded on paper liked the size for a visual layout of food entries, but desired a technology-enhanced method with an auto-calculation of calorie intake and expenditure. They also suggested increased accountability and opportunities for social support would enhance self-monitoring. Overall, an ideal technology-assisted self-monitoring app or program would be free and include an auto-calculation of calorie intake, a gender- and age- specific estimation of calories expended, easy entry of foods from a large database, the ability to enter whole recipes, nutrition information and recommendations, and be available via phone, tablet or computer (based on personal preference). / Dissertation/Thesis / M.S. Nutrition 2012

This diploma thesis deals with the design and development of a mobile GIS application intended for the Windows Phone 8 platform. The first part of this thesis is dedicated to describing GIS applications which are already available as well as resources and parts of .NET framework used for development on the platform mentioned above. The second part contains a specific design, an architecture and an implementation of the application. Functionality of chosen parts of the developed GIS application is demonstrated through models created according to UP methodology. Several tests of the application are per-formed using data from the arboretum of Mendel University to evaluate functionality and usability of the designed solution.

In order to support efficient transportation planning decisions, household travel survey data with high levels of accuracy are essential. Due to a number of issues associated with conventional household travel surveys, including high cost, low response rate, trip misreporting, and respondents’ self-reporting bias, government and private agencies are desperately searching for alternative data collection methods. Recent advancements in smart phones and Global Positioning System (GPS) technologies present new opportunities to track travelers’ trips. Considering the high penetration rate of smartphones, it seems reasonable to use smartphone data as a reliable source of individual travel diary. Many studies have applied GPS-Based data in planning and demand analysis but mobile phone GPS data has not received much attention. The Google Location History (GLH) data provide an opportunity to explore the potential of these data. This research presents a study using GLH data, including the data processing algorithm in deriving travel information and the potential applications in understanding travel patterns. The main goal of this study is to explore the potential of using cell phone GPS data to advance the understanding in mobility and travel behavior. The objectives of the study include: a) assessing the technical feasibility of using smartphones in transportation planning as a substitute of traditional household survey b) develop algorithms and procedures to derive travel information from smartphones; and c) identify applications in mobility and travel behavior studies that could take advantage of these smartphones GPS data, which would not have been possible with conventional data collection methods. This research aims to demonstrate how accurate travel information can be collected and analyzed with lower cost using smartphone GPS data and what analysis applications can be made possible with this new data source. Moreover, the framework developed in this study can provide valuable insights for others who are interested in using cell phone data. GLH data are obtained from 45 participants in a two-month period for the study. The results show great promise of using GLH data as a supplement or complement to conventional travel diary data. It shows that GLH provides sufficient high resolution data that can be used to study people’s movement without respondent burden, and potentially it can be applied to a large scale study easily. The developed algorithms in this study work well with the data. This study supports that transportation data can be collected with smartphones less expensively and more accurately than by traditional household travel survey. These data provide the opportunity to facilitate the investigation of various issues, such as less frequent long-distance travel, hourly variations in travel behavior, and daily variations in travel behavior.

In my thesis I dealt with usage classification trees in market analysis, whereas I focused on area providing mobile services. The aim of my work was, by use of progressive methodology CART (classification and regression trees), to identify important factors biasing consumer behavior. On the basis of this questionnaire inquiry I have came the opinion, that consumers purchase mobile phone services base on their net monthly income, age, occupation, services required and whether they use the mobile service for personal or business purposes.

The research problem addressed in this study was to develop a marketing plan consisting of selected elements that would give a cellular company like Vodacom a competitive advantage over competitors and to capture a significant market share when marketing mobile data services like 3G. To achieve this object, a literature study to determine the key components of a marketing plan was undertaken and a theoretical model was selected to develop a marketing plan of selected components In addition to the literature study, an empirical study was conducted to identify core concepts critical to the development of a selected element marketing plan to market 3G and re-launch mobile data services. The results of the literature study were combined with the empirical study and a marketing plan based on McDonald was developed. Michael Porter’s five forces model was used as a reference to discuss the competitor analysis, a marketing strategy was compiled with specific referencing to the four P’s of marketing and marketing controls formed the basis of this research. This study concludes with recommendations applicable for the implementation of the marketing plan and options for further research.