Master of Science / Department of Computer Science / Antonio R. Asebedo / Mitchell L. Neilsen / Small unmanned aircraft systems (sUAS) have been in commercial use since the1980’s and over 8-12% of its current uses are in the agricultural sector, but only involving limited uses like surveying, mapping and imaging, which is expected to increase to 47% according to AUVSI with the association of Artificial Intelligence over the next decade. Our research is one such effort to help farmers utilize advanced sUAS technology coupled with Artificial Intelligence and give them meaningful results in a widely used and user friendly interface, like a mobile application. The vision for this application is to provide a completely automated experience to the farmer for a repetitive and periodic analysis of his/her crops where all the instruction needed from the farmer is a push of a button on a one time configured application and ultimately providing results in seconds. This would help the farmer scout their crops, assess yield potential, and determine if additional inputs are needed for increasing grain yield and profit per acre. For making this application we focused on user-friendliness by abstracting crop algorithms, minimized necessary user inputs, and automate the construction of flight paths. Due to internet connection not always being available at farm fields, processing was kept to on-board compute systems and the mobile device to give live results to farmers without reliance on cloud-based analytics. The application is configured to work with DJI Aircraft using OpenCv for video processing and mobile vision, GIS and GPS data for accurate mapping, locating device, sUAS on the mobile application, and FFMPEG for encoding and decoding compressed video data. An algorithm developed by Precision-Ag Lab at the K-State Agronomy Department was implemented into the sUAS application for providing real time yield estimations and nitrogen recommendation algorithm for winter wheat.

abstract: The American Heart Association recommended in 1997 the data elements that should be collected from resuscitations in hospitals. (15) Currently, data documentation from resuscitation events in hospitals, termed ‘code blue’ events, utilizes a paper form, which is institution-specific. Problems with data capture and transcription exists, due to the challenges of dynamic documentation of patient, event and outcome variables as the code blue event unfolds. This thesis is based on the hypothesis that an electronic version of code blue real-time data capture would lead to improved resuscitation data transcription, and enable clinicians to address deficiencies in quality of care. The primary goal of this thesis is to create an iOS based application, primarily designed for iPads, for code blue events at the Mayo Clinic Hospital. The secondary goal is to build an open-source software development framework for converting paper-based hospital protocols into digital format. The tool created in this study enabled data documentation to be completed electronically rather than on paper for resuscitation outcomes. The tool was evaluated for usability with twenty nurses, the end-users, at Mayo Clinic in Phoenix, Arizona. The results showed the preference of users for the iPad application. Furthermore, a qualitative survey showed the clinicians perceived the electronic version to be more accurate and efficient than paper-based documentation, both of which are essential for an emergency code blue resuscitation procedure. / Dissertation/Thesis / Masters Thesis Computer Science 2015

The growing trend in the share of mobile application use results in higher user expectations for applications. Much more emphasis is placed on both the appearance and ease of use of the applications themselves. This work examines this issue, analyses the market and then uses its findings. From these findings, a proposal for a new application is created, which will be used to promote the newly established company. The work also includes economic and non-economic aspects associated with the development of the application.

Teaching and learning mathematical functions and graphs pose significant challenges for teachers and students. Students often have difficulty in understanding a functional relationship between two quantities such as distance and time, temperature and precipitation, and gas price and number of gallons. Teaching students to have quantitative thinking about functions can help them understand the rate of change for complicated functions and later succeed in learning Calculus. Traditional educational methods such as static graph images and some learning tools usually have some limitations. Teaching students the dynamic changes of quantities within the static picture has serious difficulties. Compared to the learning tools, the game-based learning increases interest when students are learning complicated functions. This thesis presents a game-based learning application called Functions Fun, which runs on iPad tablet computers. The game is created to teach / learn the following functions: Linear, Quadratic, Exponential, Logarithmic, Trigonometric, and Polynomial with degrees over four. Each function is covered under a game level. The game setting is a jungle environment. Each game level has its own scene, challenging the player to take an action while teaching a function and its graphical representation. Functions Fun enables students to play and learn functions and graphs in a more effective and entertaining manner. / Master of Science / Teaching functions and graphs plays an important role in mathematics education. Teachers and researchers emphasize the need for students to form the quantitative thinking habits when they are learning different function graphs. This thesis presents Functions Fun, an iPad educational game that aims to help secondary students to understand function graphs by varying two quantities x and y such as distance and time, temperature and precipitation, and gas price and number of gallons. Adventure game is chosen as the game genre and six real-life models related to the following six functions are created: Linear, Quadratic, Exponential, Logarithmic, Trigonometric, and Polynomial with degrees over four. Each function is covered under a game level. The game setting is a jungle environment. Players are rewarded for their accomplishments. Through game effects and animations, students can have a better understanding of how the value changes of variables x and y influence the shape of graphs.

[pt] Com uma crescente preocupação mundial com as emissões de gases de efeito estufa ( e seus impactos na saúde humana e no meio ambiente, o transporte passa a ser um tema central sendo responsável por 14 porcento das emissões humanas de GEE. A fim de construir resistência às mudanças climáticas os serviços de transporte devem não só se adaptar ao cenário atual, mas também agir rapidamente para evitar mudanças futuras. Mudanças profundamente enraizadas nos sistemas socio técnicos serão necessárias para alcançar uma redução significativa de CO 2 e garantir o bem estar das gerações futuras. Os objetivos deste estudo são ( alcançar uma visão abrangente do estado atual da mitigação de carbono no setor de transporte e ( contribuir para o cenário de sustentabilidade atual, aumentando a conscientização entre acadêmicos e profissionais. Isso é feito através de uma revisão sistemática da literatura, com base nas teorias de transições socio técnicas e contingência, e por meio do desenvolvimento de uma calculadora de CO 2 Vinte e um artigos de revisão são selecionados para leitura de texto completo na área de emissões de carbono em transporte. Habilitadores, barreiras, benefícios, desvantagens e métricas sobre o tópico são identificados e um framework é construído Os resultados fornecem uma visão do cenário atual de sustentabilidade em transportes e permitem um melhor entendimento dos fatores que influenciam a redução de emissões de carbono retratados na literatura existente. Um aplicativo móvel iOS é desenvolvido para estimar as emissões de CO2. O aplicativo está disponível para download na App Store com o nome de Calculadora de Emissões de Carbono. Uma simulação de planejamento de cenário é oferecida, mostrando os usos potenciais do produto tecnológico. O software também será submetido a registro no instituto brasileiro do INPI. / [en] With a worldwide growing concern for greenhouse gas (GHG) emissions and their impact on human health and the environment, transportation becomes a central theme in mitigation, being responsible for 14 percent of human GHG emissions. In order to build endurance to climate change, transportation services must not only adapt to the current scenario, but also act quickly to avert future changes. Deeply rooted changes in socio-technical systems will be necessary to achieve significant CO2 reduction and secure the wellbeing of future generations. The objectives of this study are to (1) achieve a comprehensive view of the current state of carbon mitigation in the transportation sector and (2) contribute to the current sustainability scenario by raising awareness among scholars and practitioners. This is done thorough a systematic literature review, engrained in the socio-technical transition theory and in the structural theory of contingency, and through the development of a CO2 calculator. Twenty-one review papers are selected for full-text examination in the area of carbon emissions in transportation. Enablers, barriers, benefits, disadvantages and metrics in carbon emissions reduction are identified and a comprehensive framework is built. Results provide a view of the current scenario of sustainability in transportation and allow a better understanding of the factors influencing carbon emission initiatives in transportation, as well as its outcomes. A mobile iOS app is developed to estimate CO2 emissions. The app is available for download at the App Store under the name of LogCO2: Carbon Emissions Calculator. A scenario planning simulation is offered, showing potential uses of the technological product. The software will also be submitted for registration at the Brazilian INPI institute.

This masther's thesis aims at familiarization with the development of mobile application that can control intelligent electrical installation iNELS and its multimedia superstructure iMM. The thesis also describes the common development for the iOS platform and explore the possibility of communication with both controlled systems. Two important communication protocols will be described - EPSNET and XML-RPC. The resulting product is evaluated at the end and its behavior in full operation is described too.