• Tracking Filter Design for Predictive Maintenance of Jet Engine - Different Approaches and Their Comparison 

  Kunz, Jan; Čala, Martin; Pikula, Stanislav; Beneš, Petr (Sciendo, 2018-12-26)

  The aim of this paper is to design, implement, test and compare several tracking filtration methods for predictive maintenance of a jet engine. Based on literature review multiple possible methods are described. Appropriate ...

• Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques 

  Bilík, Šimon; Kratochvíla, Lukáš; Ligocki, Adam; Boštík, Ondřej; Zemčík, Tomáš; Hýbl, Matouš; Horák, Karel; Žalud, Luděk (MDPI, 2021-04-14)

  The Varroa destructor mite is one of the most dangerous Honey Bee (Apis mellifera) parasites worldwide and the bee colonies have to be regularly monitored in order to control its spread. In this paper we present an object ...

• Developing an Unreal Engine 4-Based Vehicle Driving Simulator Applicable in Driver Behavior Analysis—A Technical Perspective 

  Michalík, David; Jirgl, Miroslav; Arm, Jakub; Fiedler, Petr (MDPI, 2021-04-01)

  In this paper, we emphasize understanding the driver’s control performance via obtaining valuable data and relevant characteristics using an in house-designed, laboratory-built vehicle driving simulator. This simulator ...

• Synchronous Reluctance Motor Parameter and State Estimation Using Extended Kalman Filter and Current Derivative Measurement 

  Mynář, Zbyněk; Václavek, Pavel; Blaha, Petr (IEEE, 2021-03-01)

  The synchronous reluctance motor is becoming a very attractive alternative to the AC induction machine. This is due to the lack of rare-earth metals in their construction and a higher efficiency, which was brought about ...

• Versatile Chirp Sine Generator on Fix-point FPGA 

  Kunz, Jan; Beneš, Petr (Czech Technical University in Prague, 2020-12-31)

  This paper deals with a logarithmic and a linear chirp sine generation on a fixed-point FPGA mainly for vibration testing, nevertheless, the generator can also be used in other areas. A basic overview of the logarithmic ...

• A comparison of two modal analysis methods: An impact hammer versus laser vibrometry 

  Krejčí, Jakub; Beneš, Petr (Czech Technical University in Prague, 2020-11-19)

  This paper presents a comparative experimental-analytical study on the performance of Multi-Input Single-Output (MISO) and Single-Input Multi-Output (SIMO) techniques to identify the modal properties of a cantilever beam. ...

• Non-Linear Model Predictive Control of Cabin Temperature and Air Quality in Fully Electric Vehicles 

  Glos, Jan; Otava, Lukáš; Václavek, Pavel (IEEE, 2021-01-25)

  This article describes an application of Non-linear Model Predictive Control algorithms on energy efficient control of fully electric vehicle cabin temperature and air quality. Since fully electric vehicles can not utilize ...

• Automated Design and Integration of Asset Administration Shells in Components of Industry 4.0 

  Arm, Jakub; Benešl, Tomáš; Marcoň, Petr; Bradáč, Zdeněk; Schröder, Tizian; Belyaev, Alexander; Werner, Thomas; Braun, Vlastimil; Kamenský, Pavel; Zezulka, František; Diedrich, Christian; Dohnal, Přemysl (MDPI, 2021-03-12)

  One of the central concepts in the principles of Industry 4.0 relates to the methodology for designing and implementing the digital shell of the manufacturing process components. This concept, the Asset Administration Shell ...

• A New Method to Perform Direct Efficiency Measurement and Power Flow Analysis in Vibration Energy Harvesters 

  Kunz, Jan; Fialka, Jiří; Pikula, Stanislav; Beneš, Petr; Krejčí, Jakub; Klusáček, Stanislav; Havránek, Zdeněk (MDPI, 2021-03-30)

  Measuring the efficiency of piezo energy harvesters (PEHs) according to the definition constitutes a challenging task. The power consumption is often established in a simplified manner, by ignoring the mechanical losses ...

• Fully Automated DCNN-Based Thermal Images Annotation Using Neural Network Pretrained on RGB Data 

  Ligocki, Adam; Jelínek, Aleš; Žalud, Luděk; Rahtu, Esa (MDPI, 2021-02-24)

  One of the biggest challenges of training deep neural network is the need for massive data annotation. To train the neural network for object detection, millions of annotated training images are required. However, currently, ...

• An algebraic approach for the motion control of the two-mass system 

  Bartík, Ondřej (IEEE, 2020-10-18)

  In this paper, an algebraic based approach for motion control of a two-mass system is presented. Algebraic menas, that the structure of the presented controller is found as the solution of the polynomial equation. The ...

• The RoScan Thermal 3D Body Scanning System: Medical Applicability and Benefits for Unobtrusive Sensing and Objective Diagnosis 

  Chromý, Adam; Žalud, Luděk (MDPI, 2020-11-20)

  The RoScan is a novel, high-accuracy multispectral surface scanning system producing colored 3D models that include a thermal layer. (1) Background: at present, medicine still exhibits a lack of objective diagnostic methods. ...

• Speed Control of PMSM with Finite Control Set Model Predictive Control Using General-purpose Computing on GPU 

  Kozubík, Michal; Václavek, Pavel (IEEE, 2020-10-18)

  In this article, novel approach in implementing finite control set predictive control is introduced. Algorithm is implemented using general-purpose computing on graphics processing unit. Predictions are computed using ...

• Brno Urban Dataset - The New Data for Self-Driving Agents and Mapping Tasks 

  Ligocki, Adam; Žalud, Luděk; Jelínek, Aleš (IEEE, 2020-06-01)

  Autonomous driving is a dynamically growing field of research, where quality and amount of experimental data is critical. Although several rich datasets are available these days, the demands of researchers and technical ...

• Using Matlab-based Driving Simulator for Human Factor Assessment 

  Jirgl, Miroslav; Fiedler, Petr; Bradáč, Zdeněk (ELSEVIER, 2019-10-29)

  We discuss the possibility of using simulation technologies for human factor assessment. In this context, a simple car-driving simulator was developed in MATLAB/Simulink. A human driver controls a simulated drive via an ...

• Statistical Evaluation of Pilot’s Behavior Models Parameters Connected to Military Flight Training 

  Jirgl, Miroslav (MDPI, 2020-08-28)

  The paper discusses the possibilities of objective assessment of military flight training quality based on statistical evaluation of pilot’s behavior models parameters. For these purposes, the pilots’ responses to non-standard ...

• Adaptive Human Control Model and its Usability in Modeling of Human-in-the-loop Cyber Physical Systems 

  Jirgl, Miroslav; Bradáč, Zdeněk; Fiedler, Petr (ELSEVIER, 2019-10-29)

  This paper discusses usability of an adaptive human control model in the context of a simple Human-in-the-loop Cyber Physical Systems (HiLCPS). The first part of the paper characterizes human factor assessment with an ...

• Spectral Super-resolution and Band-limited Extrapolation Using Slepian Series 

  Mihálik, Ondrej; Michalík, David; Jura, Pavel; Fiedler, Petr (IFAC, 2019-10-29)

  Band-limited signal extrapolation and spectral super-resolutions are closely related. They both can be achieved using Slepian series. This method is often believed to be dependent on computing definite integrals. Instead ...

• Towards Automatic UAS-Based Snow-Field Monitoring for Microclimate Research 

  Gábrlík, Petr; Janata, Přemysl; Žalud, Luděk; Harčarik, Josef (MDPI, 2019-04-25)

  This article presents unmanned aerial system (UAS)-based photogrammetry as an efficient method for the estimation of snow-field parameters, including snow depth, volume, and~snow-covered area. Unlike~similar studies employing ...

• Time synchronized low-voltage measurements for Smart Grids 

  Šťastný, Ladislav; Franek, Lešek; Bradáč, Zdeněk (Elsevier, 2015-11-26)

  This paper deals with possible future development of Smart Grids based on more detailed monitoring of grid. The aim of this work is to propose measurements for low-voltage level of Smart Grids inspired by measurements known ...

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