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Scientific Research Information System as a Solution for Assessing the Efficiency of Applied Research

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Advances in Soft Computing, Intelligent Robotics and Control

Abstract

The aim of this paper is to discuss the possibilities of evaluating qualitative parameters (mostly physical and technical efficiency) in research of a certain complex system using an information system with intelligent elements. Our main objective is to create the possibility to test the quality of each research element or task. The research of a complex thermodynamic system, in our case a small turbojet engine MPM–20, requires assessing each element with respect to its nature. Nature of these elements may be physical (e.g. reaching limiting temperatures, fuel consumption), technical (e.g. quality of control algorithms, quality of diagnostics), financial (e.g. research funding quality), time related (e.g. latencies, dynamics) or informational (quality of research papers and research reports). A basis for quality assessment of each research element is provided by key performance indicators (KPIs), which are measureable and robust. Such an information system creates a new overview of the research process and progress, while serving as an integrating element of the whole research as well as an aid in the experimental identification of the particular complex system. Intelligent elements such as automatic generation of log reports and research schedules, parameter and measurement classification and clustering of atypical situations, which are discussed later in this article, add up to the simplification of research work and create an environment that is beneficial for improving the quality of research. In the future, we are planning to generalize the proposed concepts and modules to serve any kind of applied research.

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Correspondence to Vladimír Gašpar .

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Gašpar, V., Madarász, L., Andoga, R. (2014). Scientific Research Information System as a Solution for Assessing the Efficiency of Applied Research. In: Fodor, J., Fullér, R. (eds) Advances in Soft Computing, Intelligent Robotics and Control. Topics in Intelligent Engineering and Informatics, vol 8. Springer, Cham. https://doi.org/10.1007/978-3-319-05945-7_18

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  • DOI: https://doi.org/10.1007/978-3-319-05945-7_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05944-0

  • Online ISBN: 978-3-319-05945-7

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