Browsing Ústav automatizace a měřicí techniky by Title
Now showing items 1-20 of 52
-
A 3D Scan Model and Thermal Image Data Fusion Algorithms for 3D Thermography in Medicine
(NEUVEDEN, 2017-11-08)Objectives. At present, medical thermal imaging is still considered a mere qualitative tool enabling us to distinguish between but lacking the ability to quantify the physiological and nonphysiological states of the body. ... -
Adaptive Human Control Model and its Usability in Modeling of Human-in-the-loop Cyber Physical Systems
(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 ... -
An algebraic approach for the motion control of the two-mass system
(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 Asset Administration Shell of Operator in the Platform of Industry 4.0
(IEEE, 2018-12-05)We discuss the Asset Administration Shell (AAS) concept of Industry 4.0 (I4.0), characterizing the current status of industrial automation and outlining the advantages of more deeply digitized manufacturing where the AAS ... -
Automated Design and Integration of Asset Administration Shells in Components of Industry 4.0
(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 ... -
An Automated measurement system for measuring an overall power efficiency and a characterisation of piezo harvesters
(IOP Publishing, 2018-09-05)Systems for measurement power characteristics of piezo harvesters in dependence on a frequency and a load resistance are not commonly used due its complexity. Therefore, the parameters are usually measured manually near ... -
Brno Urban Dataset - The New Data for Self-Driving Agents and Mapping Tasks
(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 ... -
Common Industrial Protocol in machine safety
(Elsevier, 2015-01-05)The authors discuss the Common Industrial Protocol (CIP), an instrument used on many types of networks, including EtherNet and DeviceNet. The CIP is classified into a large number of variants, for example CIP Safety, CIP ... -
A comparison of two modal analysis methods: An impact hammer versus laser vibrometry
(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. ... -
Cooperation between an unmanned aerial vehicle and an unmanned ground vehicle in highly accurate localization of gamma radiation hotspots
(SAGE Publications, 2018-01-01)This article discusses the highly autonomous robotic search and localization of radiation sources in outdoor environments. The cooperation between a human operator, an unmanned aerial vehicle, and an unmanned ground vehicle ... -
Design and performance evaluation of smart vibration sensor for industrial applications with built-in MEMS accelerometers
(IEEE, 2018-12-05)Paper deals with design and experimental evaluation of performance of a smart vibration sensor for industrial applications based on two built-in MEMS accelerometers and signal pre-processing using a low power microcontro ... -
Design and simulation of solutions to reduce the thermal resistance of lighting systems
(IFAC, 2019-10-29)The paper focuses on some essential steps in the development of high power line light. The research within the solved project deals with the development of a special extruded profile with a cooling channel and with heat ... -
Determination of optimum high-side pressure of R744 automotive heat pump using Fibonacci search method
(IEEE, 2017-06-21)This paper deals with maximizing coefficient of performance (COP) of R744 automotive heat pump. A high-side pressure variation is possible during transcritical operation employing low pressure receiver and electronic ... -
Developing an Unreal Engine 4-Based Vehicle Driving Simulator Applicable in Driver Behavior Analysis—A Technical Perspective
(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 ... -
Double three-phase PMSM structures for fail operational control
(IFAC, 2019-10-29)This paper deals with permanent magnet synchronous motors (PMSM) structures. Especially their double three-phase arrangements are analysed in detail. Comparison of three different structures is treated. Non-overlapping ... -
Driver Behaviour Modeling with Vehicle Driving Simulator
(2019-10-29)This paper describes the creation of a vehicle driving simulator that collects and implements data acquired from a driver's inputs. These data are stored for future analysis of the driver and his style of driving. The paper ... -
The Dynamic Pilot Behavioral Models
(Elsevier, 2015-11-26)This paper presents an analysis of dynamic human behavioral models focused on the action of pilots during flight. The linear dynamic models are used for the approximation of human behavior. Although, at present, the Tustin ... -
Efficient control of automotive R744 heat pump using Nelder-Mead simplex method
(IEEE, 2017-03-23)This paper deals with coefficient of performance maximization for automotive R744 heat pump using Nelder-Mead simplex method. -
Fully Automated DCNN-Based Thermal Images Annotation Using Neural Network Pretrained on RGB Data
(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, ... -
General concepts of multi-sensor data-fusion based SLAM
(Institute of Advanced Engineering and Science, 2020-06-01)This paper is approaching a problem of Simultaneous Localization and Mapping (SLAM) algorithms focused specically on processing of data from a heterogeneous set of sensors concurrently. Sensors are considered to be different ...