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Magistro darbo tikslas yra ištirti prognozės modelius, leidžiančius prognozuoti valiutos kurso vertę į ateitį bei ištirti gautų rezultatų atitikimą realiai rinkos situacijai. Ištyrus prognozės metodus ir atradus patikimą algoritmą - jį užrašyti Java kalba ir pritaikyti Android OS valiutos kurso prognozei. Taip pat įgyvendinti programėlės funkcijas, kurios vartotojui leis pilnai atlikti norimas operacijas: konvertuoti valiutas viena kitos atžvilgiu, stebėti rinkoje pokytį, peržiūrėti istorinius valiutos duomenis, stebėti rinkos situaciją, kurti savo valiutos sąrašą. Rezultatai: ištirtas ir atrinktas prognozės algoritmas, pritaikytas Android OS programėlėje penkių dienų valiutos kursų prognozei. Sukurtos papildomos programėlės funkcijos panaudojant Android OS teikiamas sistemines galimybes. Suderinta vartotojo sąsaja su skirtingais įrenginiais egzistuojančiais rinkoje. / The research objective is to investigate the models for currency exchange rates forecast and examine the compliance of the observed forecast results with the real market situation. The study of prediction methods and the discovery of a reliable algorithm, are programmed in Java and Android OS to allow currency exchange rate forecasts on demand. Once forecasting model is developed, additional functionalities for Android OS device are created allowing the user to fully perform such operations as: to convert one currency to the other, monitor the change in the market, view historical currency data, to monitor the market situation and customize favorite currency list. Results: investigated and selected forecasting algorithm which was applied to Android OS mobile with a five-day forecast of exchange rates duration. Created additional app capabilities using Android system’s resources and functions. Designed user interface to work with multiple Android devices existing on the market today.

Our increasing reliance on mobile devices has given rise to a new class of software applications (i.e., mobile apps). Tens of thousands of developers have developed hundreds of thousands of mobile apps that are available across multiple platforms. These apps are used by millions of people around the world every day. However, most software engineering research has been performed on large desktop or server applications. We believe that research efforts must begin to examine mobile apps. Mobile apps are rapidly growing, yet they differ from traditionally-studied desktop/server applications. In this thesis, we examine such apps by performing three quantitative studies. First, we study differences in the size of the code bases and development teams of desktop/server applications and mobile apps. We then study differences in the code, dependency and churn properties of mobile apps from two different mobile platforms. Finally, we study the impact of size, coupling, cohesion and code reuse on the quality of mobile apps. Some of the most notable findings are that mobile apps are much smaller than traditionally-studied desktop/server applications and that most mobile apps tend to be developed by only one or two developers. Mobile app developers tend to rely heavily on functionality provided by the underlying mobile platform through platform-specific APIs. We find that Android app developers tend to rely on the Android platform more than BlackBerry app developers rely on the BlackBerry platform. We also find that defects in Android apps tend to be concentrated in a small number of files and that files that depend on the Android platform tend to have more defects. Our results indicate that major differences exist between mobile apps and traditionally-studied desktop/server applications. However, the mobile apps of two different mobile platforms also differ. Further, our results suggest that mobile app developers should avoid excessive platform dependencies and focus their testing efforts on source code files that rely heavily on the underlying mobile platform. Given the widespread use of mobile apps and the lack of research surrounding these apps, we believe that our results will have significant impact on software engineering research. / Thesis (Master, Computing) -- Queen's University, 2013-01-24 10:15:56.086

The aim of this thesis is design and implementation of Android application which will serve as real-time translator from one language to another, including several world languages and Czech. The text obtained from image is translated and replaces the original one with keeping its visual look as much as possible. The reader gradually gets familiar with getting text from images, text translation, displaying text on mobile device and Android OS implementation. In conclusion, the experiments with multiple input images and comparison of existings applications have been done.

Goal of this diploma thesis is to design and develop a mobile application for Android OS. Marketing and monetization plans will be defined and realized for propagation and profit. Aim is to create capable, sellable product for quickly expanding market of mobile applications.

This thesis deals with a proposal and an implementation of an information system for the Android operating system with available web interface. The first part of thesis deals with the theoretical information and information about application develop. The theoretical part contains proposal of the application and her implementation.

The subject of this thesis is the design and implementation of a client-server applications for collecting GPS data using a smartphone with Android OS. The system is used for real-time monitoring and recording vehicle’s movement on a server, where the data are adapted to the real road. This thesis is a continuation of the project DoAutoškoly.cz . The theoretical part of the thesis deals with GPS, real-time communication problems and the Android platform, including its application interface for GPS. In the next part of the thesis, this knowledge is used to design the whole system. The thesis continues with the implementation of a mobile application, the web module and the corresponding server application. The chapters continue to deal with real-time tracking and route editing. The last part is focused on testing and evaluation of the results.