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[nazev] => Přesnost polohování s motorem Piezo LEGS
[nazev_orig] => Přesnost polohování s motorem Piezo LEGS
[duvernost_udaju_id] => S
[popis] => Článek stručně informuje o metodice zkoušet piezoelektrického lineárního motoru provedených ve firmě FEI Czech Republic, s.r.o., za účelem ověření jeho pohybových charakteristik a uvádí hlavní získané výsledky.
[popis_orig] => Článek stručně informuje o metodice zkoušet piezoelektrického lineárního motoru provedených ve firmě FEI Czech Republic, s.r.o., za účelem ověření jeho pohybových charakteristik a uvádí hlavní získané výsledky.
[klicova_slova] => Piezo, experimen, provozní charakteristiky
[klicova_slova_orig] => Piezo, experimen, provozní charakteristiky
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[citace_text] => ŠUBRT, K.; HOUŠKA, P.; HADAŠ, Z. Přesnost polohování s motorem Piezo LEGS. Automa, 2015, roč. 2015, č. 8-9, s. 64-65. ISSN: 1210-9592.
[citace_html] => ŠUBRT, K.; HOUŠKA, P.; HADAŠ, Z. Přesnost polohování s motorem Piezo LEGS. Automa, 2015, roč. 2015, č. 8-9, s. 64-65. ISSN: 1210-9592.
[citace_rtf] =>
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author="Kamil {Šubrt} and Pavel {Houška} and Zdeněk {Hadaš}",
title="Přesnost polohování s motorem Piezo LEGS",
journal="Automa",
year="2015",
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number="8-9",
pages="64--65",
issn="1210-9592",
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[nazev_en] => Positioning accuracy of motor Piezo LEGS
[popis_en] => The article informs about the methodology to test the piezoelectric linear motor performed in company FEI Czech Republic, Ltd., in order to verify its motion characteristics and presents the main results obtained.
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[popis] => Sensor Failure Detection and Identification (FDI) is a standard meth-od in many technical applications. Presented paper describes the usage of such approach in autonomous mobile robot navigation tasks. The FDI method uses pattern matching principle based on Markov chain theory. Such approach is ca-pable to avoid any miss-readings or sensor failures during navigation task. This method significantly improves the robustness of mobile robot navigation in crowded environment shared with people. Practical verification experiments were performed on autonomous mobile robot Advee, which is designed to safe-ly move among people.
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[citace_html] => VĚCHET, S.; KREJSA, J.; CHEN, K. Enhancement of Autonomous Robot Navigation via Sensor Failure Detection. In Advances in Intelligent systems and computing. Warsaw: Springer, 2015. p. 657-652. ISBN: 978-3-319-23921-7.
[citace_rtf] =>
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author="Stanislav {Věchet} and Jiří {Krejsa} and Kuo-Shen {Chen}",
title="Enhancement of Autonomous Robot Navigation via Sensor Failure Detection",
booktitle="Advances in Intelligent systems and computing",
year="2015",
pages="657--652",
publisher="Springer",
address="Warsaw",
doi="10.1007/978-3-319-23923-1\{_}92",
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[popis_en] => Sensor Failure Detection and Identification (FDI) is a standard meth-od in many technical applications. Presented paper describes the usage of such approach in autonomous mobile robot navigation tasks. The FDI method uses pattern matching principle based on Markov chain theory. Such approach is ca-pable to avoid any miss-readings or sensor failures during navigation task. This method significantly improves the robustness of mobile robot navigation in crowded environment shared with people. Practical verification experiments were performed on autonomous mobile robot Advee, which is designed to safe-ly move among people.
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control, microstepping
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[citace_rtf] =>
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author="Kamil {Šubrt} and Pavel {Houška}",
title="The Measurement of the Operating Characteristics of the Piezoelectric Linear Motor",
booktitle="EDPE 2015 Proceedings",
year="2015",
series="1",
number="1",
pages="387--392",
publisher="Technical University of Košice",
address="Košice",
isbn="978-1-4673-9661-5",
url="http://www.edpe.sk"
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[duvernost_udaju_id] => S
[popis] => Autonomous mobile robots movement in shared indoor environment, where are people, needs to have natural communication interface. Presented paper describes a formal representation of robots environment by semantic network. Such representation allows us to communicate with autonomous robot with terms defined in semantic network. This kind of human-machine interface is highly necessary in areas of health-care mobile robots or rapidly growing field of social robotics. Presented semantic network can handle relations of positions between places in the map, objects placed in defined places, interaction with objects, etc.
[popis_orig] => Autonomous mobile robots movement in shared indoor environment, where are people, needs to have natural communication interface. Presented paper describes a formal representation of robots environment by semantic network. Such representation allows us to communicate with autonomous robot with terms defined in semantic network. This kind of human-machine interface is highly necessary in areas of health-care mobile robots or rapidly growing field of social robotics. Presented semantic network can handle relations of positions between places in the map, objects placed in defined places, interaction with objects, etc.
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[popis] => In this paper we deal with two problems, whose common basis is to find the location of a service center for potential customers, but with different criterion function, determining what we consider in these tasks as optimal. While maximizing the coverage of an area by supermarkets, we choose for a new supermarket the location that minimises interaction (and thus competition) with existing supermarkets. On the contrary, if we want to provide the availability of certain services for all customers within a reasonable distance, and yet we know in advance where it would be possible to set up servicing points, the goal is to minimize their number. We show that the first type of problem can be solved in polynomial time using the Voronoi diagram, the task of the second type leads to the set covering problem, which is an NP-hard problem, and it is therefore necessary to solve larger instances of a task by heuristics. It is proposed using a genetic algorithm approach and special attention is paid to implementation of a repair operator for infeasible solutions generated by the operations of crossover and mutation.
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[poznamka_metriky] =>
[nazev_en] => Computational Geometry and Heuristic Approaches for Location Problems
[popis_en] => In this paper we deal with two problems, whose common basis is to find the location of a service center for potential customers, but with different criterion function, determining what we consider in these tasks as optimal. While maximizing the coverage of an area by supermarkets, we choose for a new supermarket the location that minimises interaction (and thus competition) with existing supermarkets. On the contrary, if we want to provide the availability of certain services for all customers within a reasonable distance, and yet we know in advance where it would be possible to set up servicing points, the goal is to minimize their number. We show that the first type of problem can be solved in polynomial time using the Voronoi diagram, the task of the second type leads to the set covering problem, which is an NP-hard problem, and it is therefore necessary to solve larger instances of a task by heuristics. It is proposed using a genetic algorithm approach and special attention is paid to implementation of a repair operator for infeasible solutions generated by the operations of crossover and mutation.
[klicova_slova_en] => location problem, Voronoi diagram, set covering, stochastic heuristics, genetic algorithm
[vysledek_datum] => 2015-05-01T00:00:00+02:00
)
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(
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[nazev] => Výročí v oboru termodiagnostiky
[nazev_orig] => Výročí v oboru termodiagnostiky
[duvernost_udaju_id] => S
[popis] => V současné době se v každodenní praxi setkáváme s aplikacemi termodiagnostiky. Jedná se o relativně mladý obor technické diagnostiky. Jeho kořeny však sahají několik století zpět. Při pohledu do historie zjistíme, že to zdaleka není jen 50. výročí existence termokamery, které připadá na letošní rok. Termografie má v tomto období mnohem více důvodů k oslavám a další lze přidat z oboru měření teplot.
[popis_orig] => V současné době se v každodenní praxi setkáváme s aplikacemi termodiagnostiky. Jedná se o relativně mladý obor technické diagnostiky. Jeho kořeny však sahají několik století zpět. Při pohledu do historie zjistíme, že to zdaleka není jen 50. výročí existence termokamery, které připadá na letošní rok. Termografie má v tomto období mnohem více důvodů k oslavám a další lze přidat z oboru měření teplot.
[klicova_slova] => Měření, měření teploty, termografie. technická diagnostika
[klicova_slova_orig] => Měření, měření teploty, termografie. technická diagnostika
[url] => http://www.atdcr.cz
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[druh_popis] => Ostatní články v odborných recenzovaných periodicích splňující definici druhu výsledku
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[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISSN 1210-311X
[identifikator_popis] => ISSN - Technická diagnostika (CZ)
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[citace_text] => VDOLEČEK, F. Výročí v oboru termodiagnostiky. Technická diagnostika, 2015, roč. XXIV, č. Z1, s. 324-327. ISSN: 1210-311X.
[citace_html] => VDOLEČEK, F. Výročí v oboru termodiagnostiky. Technická diagnostika, 2015, roč. XXIV, č. Z1, s. 324-327. ISSN: 1210-311X.
[citace_rtf] =>
[citace_bibtex] => @article{BUT120156,
author="František {Vdoleček}",
title="Výročí v oboru termodiagnostiky",
journal="Technická diagnostika",
year="2015",
volume="XXIV",
number="Z1",
pages="324--327",
issn="1210-311X",
url="http://www.atdcr.cz"
}
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[oecd_tree_podobor_nazev] => Audio engineering, reliability analysis
[poznamka_metriky] =>
[nazev_en] => Anniversaries in Field of Thermodiagnostics
[popis_en] => We encounter in everyday practice with applications thermodiagnostics in the time. This is a relatively young field of technical diagnostics. Its roots, however, date back to several centuries back. Looking back to history we see that it is not just the 50th anniversary of thermal imager, which belongs on this year. Thermography has in this period more reasons to celebrate and more can be added in the field of temperature measurement.
[klicova_slova_en] => Measurement, Temperature Measurement, Thermography, Technical diagnostics
[vysledek_datum] => 2015-02-03T00:00:00+01:00
)
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[nazev] => ADVANCED PREDICTION OF PROJECT BY DYPREP METHOD
[nazev_orig] => ADVANCED PREDICTION OF PROJECT BY DYPREP METHOD
[duvernost_udaju_id] => S
[popis] => This article describes the basis and characteristics of the DYPREP method for making predictions about projects. The method employs finite state machines and Markov chains. These allow the behavioural dynamics of complex software development projects to be captured. It may serve as a means for determining a project development forecast, particularly in terms of milestones and at moments the project state is examined.
[popis_orig] => This article describes the basis and characteristics of the DYPREP method for making predictions about projects. The method employs finite state machines and Markov chains. These allow the behavioural dynamics of complex software development projects to be captured. It may serve as a means for determining a project development forecast, particularly in terms of milestones and at moments the project state is examined.
[klicova_slova] => Project; advanced prediction; DYPREP method; finite state automata ; Markov chains; Management Earned Management method;
[klicova_slova_orig] => Project; advanced prediction; DYPREP method; finite state automata ; Markov chains; Management Earned Management method;
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[druh_popis] => Článek v odborném periodiku je obsažen v databázi SCOPUS společnosti Elsevier s příznakem „Article“, „Review“ nebo „Letter“
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[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISBN 18033814 ISSN 1803-3814
[identifikator_popis] => ISBN - MENDEL 2015 ISSN - Mendel Journal series (CZ)
[riv_dodavka_id] => 1318
[riv_dodavka_oznaceni] => RIV16-MSM-26210___
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[citace_text] => LACKO, B.; DOLEŽAL, J.; BARTOŠKA, J. ADVANCED PREDICTION OF PROJECT BY DYPREP METHOD. Mendel Journal series, 2015, no. 21, p. 213-216. ISSN: 1803-3814.
[citace_html] => LACKO, B.; DOLEŽAL, J.; BARTOŠKA, J. ADVANCED PREDICTION OF PROJECT BY DYPREP METHOD. Mendel Journal series, 2015, no. 21, p. 213-216. ISSN: 1803-3814.
[citace_rtf] =>
[citace_bibtex] => @article{BUT121132,
author="LACKO, B. and DOLEŽAL, J. and BARTOŠKA, J.",
title="ADVANCED PREDICTION OF PROJECT BY DYPREP METHOD",
journal="Mendel Journal series",
year="2015",
number="21",
pages="213--216",
issn="1803-3814"
}
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[nazev_en] => ADVANCED PREDICTION OF PROJECT BY DYPREP METHOD
[popis_en] => This article describes the basis and characteristics of the DYPREP method for making predictions about projects. The method employs finite state machines and Markov chains. These allow the behavioural dynamics of complex software development projects to be captured. It may serve as a means for determining a project development forecast, particularly in terms of milestones and at moments the project state is examined.
[klicova_slova_en] => Project; advanced prediction; DYPREP method; finite state automata ; Markov chains; Management Earned Management method;
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(
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[nazev] => Hybrid rule-based motion planner for mobile robot in cluttered workspace, A combination of RRT and cell decomposition approaches
[nazev_orig] => Hybrid rule-based motion planner for mobile robot in cluttered workspace, A combination of RRT and cell decomposition approaches
[duvernost_udaju_id] => S
[popis] => Motion planning problem is an active field in robotics. It is concerned with converting high-level task specifications into low-level descriptions of how to move and provides a feasible sequence of movements that avoid obstacles while respecting kinematic and dynamic equations. In this work, new planners are designed with the aim of developing an efficient motion planner in a heterogeneous, cluttered, and dynamic workspace. The planners are composed of two layers, and they use a rule-based system as a guidance. The first layer uses exact cell decomposition method, which divides the workspace into manageable regions and finds the adjacency information for them. The second layer utilizes rapidly exploring random tree algorithm RRT that finds a solution in a cluttered workspace. The adjacency information of the free cells and the exploration information that is provided by RRT are combined and utilized to help the planners classifying the free regions and guiding the growth of RRT trees efficiently toward the most important areas. Two types of the planners are proposed, the first one uses adviser that pulls the trees’ growth toward the boundary areas between explored and unexplored regions, while the adviser of the second planner uses the collision information and fuzzy rules to guide the trees’ growth toward areas that have low collision rate around the boundaries of explored regions. The planners are tested in stationary as well as in changed workspace. The proposed methods have been compared to other approaches and the simulation results show that they yield better results in terms of completeness and efficiency.
[popis_orig] => Motion planning problem is an active field in robotics. It is concerned with converting high-level task specifications into low-level descriptions of how to move and provides a feasible sequence of movements that avoid obstacles while respecting kinematic and dynamic equations. In this work, new planners are designed with the aim of developing an efficient motion planner in a heterogeneous, cluttered, and dynamic workspace. The planners are composed of two layers, and they use a rule-based system as a guidance. The first layer uses exact cell decomposition method, which divides the workspace into manageable regions and finds the adjacency information for them. The second layer utilizes rapidly exploring random tree algorithm RRT that finds a solution in a cluttered workspace. The adjacency information of the free cells and the exploration information that is provided by RRT are combined and utilized to help the planners classifying the free regions and guiding the growth of RRT trees efficiently toward the most important areas. Two types of the planners are proposed, the first one uses adviser that pulls the trees’ growth toward the boundary areas between explored and unexplored regions, while the adviser of the second planner uses the collision information and fuzzy rules to guide the trees’ growth toward areas that have low collision rate around the boundaries of explored regions. The planners are tested in stationary as well as in changed workspace. The proposed methods have been compared to other approaches and the simulation results show that they yield better results in terms of completeness and efficiency.
[klicova_slova] => Motion planning, Path planning, Rule-based, Sampling-based planner, Guided planner, RRT, Cell decomposition, Adaptive sampling
[klicova_slova_orig] => Motion planning, Path planning, Rule-based, Sampling-based planner, Guided planner, RRT, Cell decomposition, Adaptive sampling
[url] => http://link.springer.com/article/10.1007/s00500-016-2103-4
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[kategorie_nazev] => Publikační výsledky
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[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
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[identifikator] => ISSN 1432-7643
[identifikator_popis] => ISSN - SOFT COMPUTING (US)
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[citace_text] => ABBADI, A.; MATOUŠEK, R. Hybrid rule-based motion planner for mobile robot in cluttered workspace, A combination of RRT and cell decomposition approaches. SOFT COMPUTING, 2016, vol. 2016, no. 1, p. 1-17. ISSN: 1433-7479.
[citace_html] => ABBADI, A.; MATOUŠEK, R. Hybrid rule-based motion planner for mobile robot in cluttered workspace, A combination of RRT and cell decomposition approaches. SOFT COMPUTING, 2016, vol. 2016, no. 1, p. 1-17. ISSN: 1433-7479.
[citace_rtf] =>
[citace_bibtex] => @article{BUT122752,
author="Ahmad {Abbadi} and Radomil {Matoušek}",
title="Hybrid rule-based motion planner for mobile robot in cluttered workspace, A combination of RRT and cell decomposition approaches",
journal="SOFT COMPUTING",
year="2016",
volume="2016",
number="1",
pages="1--17",
doi="10.1007/s00500-016-2103-4",
issn="1432-7643",
url="http://link.springer.com/article/10.1007/s00500-016-2103-4"
}
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[poznamka_metriky] =>
[nazev_en] => Hybrid rule-based motion planner for mobile robot in cluttered workspace, A combination of RRT and cell decomposition approaches
[popis_en] => Motion planning problem is an active field in robotics. It is concerned with converting high-level task specifications into low-level descriptions of how to move and provides a feasible sequence of movements that avoid obstacles while respecting kinematic and dynamic equations. In this work, new planners are designed with the aim of developing an efficient motion planner in a heterogeneous, cluttered, and dynamic workspace. The planners are composed of two layers, and they use a rule-based system as a guidance. The first layer uses exact cell decomposition method, which divides the workspace into manageable regions and finds the adjacency information for them. The second layer utilizes rapidly exploring random tree algorithm RRT that finds a solution in a cluttered workspace. The adjacency information of the free cells and the exploration information that is provided by RRT are combined and utilized to help the planners classifying the free regions and guiding the growth of RRT trees efficiently toward the most important areas. Two types of the planners are proposed, the first one uses adviser that pulls the trees’ growth toward the boundary areas between explored and unexplored regions, while the adviser of the second planner uses the collision information and fuzzy rules to guide the trees’ growth toward areas that have low collision rate around the boundaries of explored regions. The planners are tested in stationary as well as in changed workspace. The proposed methods have been compared to other approaches and the simulation results show that they yield better results in terms of completeness and efficiency.
[klicova_slova_en] => Motion planning, Path planning, Rule-based, Sampling-based planner, Guided planner, RRT, Cell decomposition, Adaptive sampling
[vysledek_datum] => 2016-03-05T00:00:00+01:00
)
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[popis] => 22nd International Conference on Soft Computing
[popis_orig] => 22nd International Conference on Soft Computing
[klicova_slova] => Innovation and Theory;
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[citace_text] => Mendel 2016. Brno (08.06.2016)
[citace_html] => Mendel 2016. Brno (08.06.2016)
[citace_rtf] =>
[citace_bibtex] => @misc{BUT127138,
title="Mendel 2016",
year="2016",
url="http://www.mendel-conference.org/",
note="Holding a conference"
}
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[nazev_en] => Mendel 2016
[popis_en] => 22nd International Conference on Soft Computing
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(
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[nazev] => Behavioral Patterns Identification in Smart-Home Application
[nazev_orig] => Behavioral Patterns Identification in Smart-Home Application
[duvernost_udaju_id] => S
[popis] => Detection of behavioral patterns in human everyday life is main idea behind self-learning control system used for controling of a thermostat in a smart house. We use a probabilistic naive Bayessian filter in long-term experiments to recognize patterns in human behaviour. Such patterns are used in the control system to automatically adjusting a temperature in experimental room. The main advantage of such method is no needs for manual setup, the control system is naturally self-learned from the user.
[popis_orig] => Detection of behavioral patterns in human everyday life is main idea behind self-learning control system used for controling of a thermostat in a smart house. We use a probabilistic naive Bayessian filter in long-term experiments to recognize patterns in human behaviour. Such patterns are used in the control system to automatically adjusting a temperature in experimental room. The main advantage of such method is no needs for manual setup, the control system is naturally self-learned from the user.
[klicova_slova] => Pattern recognition, Naive Bayessian Filter, Machine learning, Smart thermostat.
[klicova_slova_orig] => Pattern recognition, Naive Bayessian Filter, Machine learning, Smart thermostat.
[url] =>
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[identifikator] => ISBN 978-80-214-5365-4
[identifikator_popis] => ISBN - Mender 2016 - 22nd International Conference on Soft Computing
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[citace_text] => VĚCHET, S.; HRBÁČEK, J.; RŮŽIČKA, M.; MAŠEK, P.; KREJSA, J. Behavioral Patterns Identification in Smart-Home Application. In Mender 2016 - 22nd International Conference on Soft Computing. Brno: Brno University of Technology, 2016. p. 149-152. ISBN: 978-80-214-5365-4.
[citace_html] => VĚCHET, S.; HRBÁČEK, J.; RŮŽIČKA, M.; MAŠEK, P.; KREJSA, J. Behavioral Patterns Identification in Smart-Home Application. In Mender 2016 - 22nd International Conference on Soft Computing. Brno: Brno University of Technology, 2016. p. 149-152. ISBN: 978-80-214-5365-4.
[citace_rtf] =>
[citace_bibtex] => @inproceedings{BUT127362,
author="Stanislav {Věchet} and Jan {Hrbáček} and Michal {Růžička} and Petr {Mašek} and Jiří {Krejsa}",
title="Behavioral Patterns Identification in Smart-Home Application",
booktitle="Mender 2016 - 22nd International Conference on Soft Computing",
year="2016",
pages="149--152",
publisher="Brno University of Technology",
address="Brno",
isbn="978-80-214-5365-4"
}
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[poznamka_metriky] =>
[nazev_en] => Behavioral Patterns Identification in Smart-Home Application
[popis_en] => Detection of behavioral patterns in human everyday life is main idea behind self-learning control system used for controling of a thermostat in a smart house. We use a probabilistic naive Bayessian filter in long-term experiments to recognize patterns in human behaviour. Such patterns are used in the control system to automatically adjusting a temperature in experimental room. The main advantage of such method is no needs for manual setup, the control system is naturally self-learned from the user.
[klicova_slova_en] => Pattern recognition, Naive Bayessian Filter, Machine learning, Smart thermostat.
[vysledek_datum] => 2016-06-08T00:00:00+02:00
)
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(
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[nazev] => Using HIL Simulation and Genetic Algorithms for Controller Tuning
[nazev_orig] => Using HIL Simulation and Genetic Algorithms for Controller Tuning
[duvernost_udaju_id] => S
[popis] => This paper will deal with the possibilities of using the HIL (Hardware-in-the-loop) simulation in
Matlab for setting the controller by genetic algorithms. The main advantage of using HIL is a possibility of
endless repetition of regulation without straining the real system. This paper will compare several algorithms
for an automatic adjustment of parameters of the real controller. The system is numerically simulated in
MATLAB by Runge-Kutta method (RK4), as a controller was used ARM R microcontroller Cortex R M4. In
addition to send an information about the system, it is also possible to send controller setup parameters from
Matlab and repeat the simulation with di erent parameters. Matlab also evaluates the quality of regulation and
uses algorithms to set the best parameters of the controller. The aim of this paper is to automatically set the
parameters of a real controller without the user interaction.
[popis_orig] => This paper will deal with the possibilities of using the HIL (Hardware-in-the-loop) simulation in
Matlab for setting the controller by genetic algorithms. The main advantage of using HIL is a possibility of
endless repetition of regulation without straining the real system. This paper will compare several algorithms
for an automatic adjustment of parameters of the real controller. The system is numerically simulated in
MATLAB by Runge-Kutta method (RK4), as a controller was used ARM R microcontroller Cortex R M4. In
addition to send an information about the system, it is also possible to send controller setup parameters from
Matlab and repeat the simulation with di erent parameters. Matlab also evaluates the quality of regulation and
uses algorithms to set the best parameters of the controller. The aim of this paper is to automatically set the
parameters of a real controller without the user interaction.
[klicova_slova] => HIL, Hardware-in-the-loop, Microcontroller, PID Controller, PID Tunning, Genetic Algorithm, Mat-
lab, Simulation.
[klicova_slova_orig] => HIL, Hardware-in-the-loop, Microcontroller, PID Controller, PID Tunning, Genetic Algorithm, Mat-
lab, Simulation.
[url] =>
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[vycet_osob] => ZUTH, D.
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[kategorie_nazev] => Publikační výsledky
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[stav] => Schválený
[vysledek_kategorie_id] => PV
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[ins_uid] => 999999
[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISSN 1803-3814
[identifikator_popis] => ISSN - Mendel Journal series (CZ)
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[riv_dodavka_oznaceni] => RIV18-TA0-26510___
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[citace_text] => ZUTH, D. Using HIL Simulation and Genetic Algorithms for Controller Tuning. Mendel Journal series, 2016, vol. 2016, no. 22, p. 25-30. ISSN: 1803-3814.
[citace_html] => ZUTH, D. Using HIL Simulation and Genetic Algorithms for Controller Tuning. Mendel Journal series, 2016, vol. 2016, no. 22, p. 25-30. ISSN: 1803-3814.
[citace_rtf] =>
[citace_bibtex] => @article{BUT127813,
author="Daniel {Zuth}",
title="Using HIL Simulation and Genetic Algorithms for Controller Tuning",
journal="Mendel Journal series",
year="2016",
volume="2016",
number="22",
pages="25--30",
issn="1803-3814"
}
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[poznamka_metriky] =>
[nazev_en] => Using HIL Simulation and Genetic Algorithms for Controller Tuning
[popis_en] => This paper will deal with the possibilities of using the HIL (Hardware-in-the-loop) simulation in
Matlab for setting the controller by genetic algorithms. The main advantage of using HIL is a possibility of
endless repetition of regulation without straining the real system. This paper will compare several algorithms
for an automatic adjustment of parameters of the real controller. The system is numerically simulated in
MATLAB by Runge-Kutta method (RK4), as a controller was used ARM R microcontroller Cortex R M4. In
addition to send an information about the system, it is also possible to send controller setup parameters from
Matlab and repeat the simulation with di erent parameters. Matlab also evaluates the quality of regulation and
uses algorithms to set the best parameters of the controller. The aim of this paper is to automatically set the
parameters of a real controller without the user interaction.
[klicova_slova_en] => HIL, Hardware-in-the-loop, Microcontroller, PID Controller, PID Tunning, Genetic Algorithm, Mat-
lab, Simulation.
[vysledek_datum] => 2016-06-08T00:00:00+02:00
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(
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[nazev] => PID CONTROLER PARAMETERS SETTINGS BASED ON GENETIC ALGORITHM FOR INVERTED PENDULUM PURPOSE STABILIZATION
[nazev_orig] => PID CONTROLER PARAMETERS SETTINGS BASED ON GENETIC ALGORITHM FOR INVERTED PENDULUM PURPOSE STABILIZATION
[duvernost_udaju_id] => S
[popis] => One of the classical problems in dynamics and control theory is balancing of an inverted pendulum robot by
moving a cart along a horizontal path. A real world example of this inverted pendulum system is the attitude control of a rocket booster at take-off. Inverted pendulum stabilization can be performed through several methods. This paper presents capability of inverted pendulum control by two PID (Proportional, Integration, and Derivative) controllers for its stabilization. A genetic algorithm is used to optimizing different controller’s parameters. Different performance indicators and genetic algorithm were implemented and calculated in MATLAB software. Simulink environment was used to simulate the inverted pendulum nonlinear equations with PID controllers. The results of simulations have been mentioned in the experiments and conclusion.
[popis_orig] => One of the classical problems in dynamics and control theory is balancing of an inverted pendulum robot by
moving a cart along a horizontal path. A real world example of this inverted pendulum system is the attitude control of a rocket booster at take-off. Inverted pendulum stabilization can be performed through several methods. This paper presents capability of inverted pendulum control by two PID (Proportional, Integration, and Derivative) controllers for its stabilization. A genetic algorithm is used to optimizing different controller’s parameters. Different performance indicators and genetic algorithm were implemented and calculated in MATLAB software. Simulink environment was used to simulate the inverted pendulum nonlinear equations with PID controllers. The results of simulations have been mentioned in the experiments and conclusion.
[klicova_slova] => Inverted pendulum, Genetic algorithm, Penalty in the objective function, PID controller, ITAE criterion.
[klicova_slova_orig] => Inverted pendulum, Genetic algorithm, Penalty in the objective function, PID controller, ITAE criterion.
[url] =>
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[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => en
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[vycet_osob] => MARADA, T.
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[posledni_autor] =>
[znamka] =>
[kategorie_nazev] => Publikační výsledky
[druh_nazev] => Článek Scopus
[druh_popis] => Článek v odborném periodiku je obsažen v databázi SCOPUS společnosti Elsevier s příznakem „Article“, „Review“ nebo „Letter“
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[upravil] => Informační systém Automat
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[ins_ts] => 2025-09-22
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[identifikator] => ISSN 1803-3814
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[citace_text] => MARADA, T. PID CONTROLER PARAMETERS SETTINGS BASED ON GENETIC ALGORITHM FOR INVERTED PENDULUM PURPOSE STABILIZATION. Mendel Journal series, 2016, vol. 2016, no. 22, p. 31-38. ISSN: 1803-3814.
[citace_html] => MARADA, T. PID CONTROLER PARAMETERS SETTINGS BASED ON GENETIC ALGORITHM FOR INVERTED PENDULUM PURPOSE STABILIZATION. Mendel Journal series, 2016, vol. 2016, no. 22, p. 31-38. ISSN: 1803-3814.
[citace_rtf] =>
[citace_bibtex] => @article{BUT128262,
author="Tomáš {Marada}",
title="PID CONTROLER PARAMETERS SETTINGS BASED ON GENETIC ALGORITHM FOR INVERTED PENDULUM PURPOSE STABILIZATION",
journal="Mendel Journal series",
year="2016",
volume="2016",
number="22",
pages="31--38",
issn="1803-3814"
}
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[nazev_en] => PID CONTROLER PARAMETERS SETTINGS BASED ON GENETIC ALGORITHM FOR INVERTED PENDULUM PURPOSE STABILIZATION
[popis_en] => One of the classical problems in dynamics and control theory is balancing of an inverted pendulum robot by
moving a cart along a horizontal path. A real world example of this inverted pendulum system is the attitude control of a rocket booster at take-off. Inverted pendulum stabilization can be performed through several methods. This paper presents capability of inverted pendulum control by two PID (Proportional, Integration, and Derivative) controllers for its stabilization. A genetic algorithm is used to optimizing different controller’s parameters. Different performance indicators and genetic algorithm were implemented and calculated in MATLAB software. Simulink environment was used to simulate the inverted pendulum nonlinear equations with PID controllers. The results of simulations have been mentioned in the experiments and conclusion.
[klicova_slova_en] => Inverted pendulum, Genetic algorithm, Penalty in the objective function, PID controller, ITAE criterion.
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[nazev] => EFFICIENT NEAREST NEIGHBOR SEARCHING IN RRTS
[nazev_orig] => EFFICIENT NEAREST NEIGHBOR SEARCHING IN RRTS
[duvernost_udaju_id] => S
[popis] => The cost of nearest-neighbor calls is one of the bottlenecks in the performance of sampling-based
motion planning algorithms and particularly Rapidly-exploring Random Trees (RRT) algorithm. Although RRT
returns the solution relatively quickly, the computational cost of every new algorithm loop increases as the tree
grows because of the nearest neighbor searching procedure. This paper suggests the enhancement of this function. Through a series of simulation experiments we evaluate and compare the performance of RRT-based algorithms and report on the results verifying the efficiency of the suggested nearest neighbor searching method.
[popis_orig] => The cost of nearest-neighbor calls is one of the bottlenecks in the performance of sampling-based
motion planning algorithms and particularly Rapidly-exploring Random Trees (RRT) algorithm. Although RRT
returns the solution relatively quickly, the computational cost of every new algorithm loop increases as the tree
grows because of the nearest neighbor searching procedure. This paper suggests the enhancement of this function. Through a series of simulation experiments we evaluate and compare the performance of RRT-based algorithms and report on the results verifying the efficiency of the suggested nearest neighbor searching method.
[klicova_slova] => sampling-based motion planning, Rapidly-exploring Random Tree, RRT, nearest-neighbor searching
[klicova_slova_orig] => sampling-based motion planning, Rapidly-exploring Random Tree, RRT, nearest-neighbor searching
[url] => http://www.mendel-conference.org
[oecd_obor_id] => 10201
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[odpovedny_utvar_nazev] => Ústav automatizace a informatiky
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[originalni_jazyk] => en
[schvalil_id] => 182808
[schvaleno] => 2021-03-03
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[kategorie_nazev] => Publikační výsledky
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[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISBN 978-80-214-5365-4
[identifikator_popis] => ISBN - MENDEL 2016 22nd Conference on Soft Computing
[riv_dodavka_id] => 1530
[riv_dodavka_oznaceni] => RIV18-TA0-26510___
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[citace_text] => Gulina Irina, Matousek Radomil. EFFICIENT NEAREST NEIGHBOR SEARCHING IN RRTS. In MENDEL 2016 22nd Conference on Soft Computing. Brno: 2016. p. 189-194. ISBN: 978-80-214-5365-4.
[citace_html] => Gulina Irina, Matousek Radomil. EFFICIENT NEAREST NEIGHBOR SEARCHING IN RRTS. In MENDEL 2016 22nd Conference on Soft Computing. Brno: 2016. p. 189-194. ISBN: 978-80-214-5365-4.
[citace_rtf] =>
[citace_bibtex] => @inproceedings{BUT128283,
author="Irina {Gulina} and Radomil {Matoušek}",
title="EFFICIENT NEAREST NEIGHBOR SEARCHING IN RRTS",
booktitle="MENDEL 2016 22nd Conference on Soft Computing",
year="2016",
pages="189--194",
address="Brno",
isbn="978-80-214-5365-4",
url="http://www.mendel-conference.org"
}
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[popis_en] => The cost of nearest-neighbor calls is one of the bottlenecks in the performance of sampling-based
motion planning algorithms and particularly Rapidly-exploring Random Trees (RRT) algorithm. Although RRT
returns the solution relatively quickly, the computational cost of every new algorithm loop increases as the tree
grows because of the nearest neighbor searching procedure. This paper suggests the enhancement of this function. Through a series of simulation experiments we evaluate and compare the performance of RRT-based algorithms and report on the results verifying the efficiency of the suggested nearest neighbor searching method.
[klicova_slova_en] => sampling-based motion planning, Rapidly-exploring Random Tree, RRT, nearest-neighbor searching
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