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This paper presents the current progress in acquiring and analyzing the data, obtained from smartphone sensor measurements during a drive with a car. The main aim of the research is to create generic rules to identify road state and its quality. Previously, the mobile application has been created, and measurements began. Currently, we acquired data from more than 500km of daily driving and created...
This paper presents an application for managing education by creating presence lists. An administration application has also been created in order to allow manipulating with the content of the enumerables in the presence lists. Overviews of possible solutions are presented. Our main motivation was to provide secure and reliable way of evaluating student attendance on specific lectures. In order to...
This paper presents a design of a state-of-the-art platform for an intelligent classroom. The main emphasis will be set on mobile devices of students and lecturers. The second part of the platform will cover the server-side applications and manage access rights. The main aim of this research is to provide a platform that will be able to handle actual information about the lectures, about the upcoming...
This paper presents the preparation work and first testing of a real-time monitoring application framework. The framework has been proposed and created for a small turbojet engine iSTC-21V. The main motivation is to provide data for educational purposes in a nearby multimedia lecture room and to wider public that is not able to access the laboratory, due to lack of room in the laboratory or travel...
In this work, we compare nine methods of experimental identification (polynomial models, artificial neural networks and deterministic methods). We use measured data from the small turbojet engine iSTC-21v to create experimental models through programming environment MATLAB/Simulink. Comparing the output of these calculated models with the real measured data, we get the amount of the mean absolute...
This paper describes a preliminary feasibility study on creating a service oriented web-smartphone platform for stream data mining. We briefly address the device orientation corrections, which are the most common problem in acquiring accurate and valid data from the sensing application. Some implementations are already described for a partial task, the road quality analysis in real-time, as a proof...
Goal of this paper is to highlight the most common problems and constraints which accompany the implementation of artificial neural networks on current digital computers. We focus on feed-forward multilayer neural networks, i.e. multilayer perceptrons, in role of function approximators. Multiple constraints of approximation by neural networks are discussed within the paper, taking into account research...
Progressive development of turbojet engine requires focus not only on improving performance, but also high reliability and safety are very important. That's why we put more and more emphasis on concepts like diagnostics and backup, which represent the basic techniques and methods that contribute to increased safety of any complex system. The article deals with the design of diagnostics/backup system,...
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