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[popis] => Implementations of person detection in tracking and counting systems tend towards processing of orthogonally captured images on edge computing devices. The ellipse-like shape of heads in orthogonally captured images inspired us to predict head centroids to determine positions of persons in images. We predict the centroids using a fully convolutional network (FCN). We combine the FCN with simple image processing operations to ensure fast inference of the detector. We experiment with the size of the FCN output to further decrease the inference time. We compare the proposed centroid-based detector with bounding box-based detectors on head detection task in terms of the inference time and the detection performance. We propose a performance measure which allows quantitative comparison of the two detection approaches. For the training and evaluation of the detectors, we form original datasets of 8000 annotated images, which are characterized by high variability in terms of lighting conditions, background, image quality, and elevation profile of scenes. We propose an approach which allows simultaneous annotation of the images for both bounding box-based and centroid-based detection. The centroid-based detector shows the best detection performance while keeping edge computing standards.
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[url] => https://www.sciencedirect.com/science/article/pii/S1877750322001442
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[citace_text] => DOLEŽEL, P.; ŠKRABÁNEK, P.; ŠTURSA, D.; BARUQUE ZANON, B.; COGOLLOS ADRIAN, H.; KRÝDA, P. Centroid based person detection using pixelwise prediction of the position. Journal of Computational Science, 2022, vol. 63, no. 1, p. 1-12. ISSN: 1877-7503.
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title="Centroid based person detection using pixelwise prediction of the position",
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year="2022",
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[nazev] => Recent advances and applications of surrogate models for finite element method computations: a review
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[duvernost_udaju_id] => S
[popis] => The utilization of surrogate models to approximate complex systems has recently gained increased popularity. Because of their capability to deal with black-box problems and lower computational requirements, surrogates were successfully utilized by researchers in various engineering and scientific fields. An efficient use of surrogates can bring considerable savings in computational resources and time. Since literature on surrogate modelling encompasses a large variety of approaches, the appropriate choice of a surrogate remains a challenging task. This review discusses significant publications where surrogate modelling for finite element method-based computations was utilized. We familiarize the reader with the subject, explain the function of surrogate modelling, sampling and model validation procedures, and give a description of the different surrogate types. We then discuss main categories where surrogate models are used: prediction, sensitivity analysis, uncertainty quantification, and surrogate-assisted optimization, and give detailed account of recent advances and applications. We review the most widely used and recently developed software tools that are used to apply the discussed techniques with ease. Based on a literature review of 180 papers related to surrogate modelling, we discuss major research trends, gaps, and practical recommendations. As the utilization of surrogate models grows in popularity, this review can function as a guide that makes surrogate modelling more accessible.
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[klicova_slova] => Surrogate model; Surrogate-assisted optimization; Sensitivity analysis; Uncertainty quantification; Finite element method
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[citace_rtf] =>
[citace_bibtex] => @article{BUT178561,
author="Jakub {Kůdela} and Radomil {Matoušek}",
title="Recent advances and applications of surrogate models for finite element method computations: a review",
journal="SOFT COMPUTING",
year="2022",
volume="26",
number="1",
pages="13709--13733",
doi="10.1007/s00500-022-07362-8",
issn="1432-7643",
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[nazev] => Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm
[nazev_orig] => Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm
[duvernost_udaju_id] => S
[popis] => Advanced robotics does not always have to be associated with Industry 4.0, but can also be applied, for example, in the Smart Hospital concept. Developments in this field have been driven by the coronavirus disease (COVID-19), and any improvement in the work of medical staff is welcome. In this paper, an experimental robotic platform was designed and implemented whose main function is the swabbing samples from the nasal vestibule. The robotic platform represents a complete integration of software and hardware, where the operator has access to a web-based application and can control a number of functions. The increased safety and collaborative approach cannot be overlooked. The result of this work is a functional prototype of the robotic platform that can be further extended, for example, by using alternative technologies, extending patient safety, or clinical tests and studies. Code is available at https://github.com/ Steigner/ Robo_ Medicinae_ I.
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[klicova_slova] => Robotics, Smart Hospital, Convolution Neural Network (CNN), U-Net, ASPOCRNet, Robot Operating System (ROS)
[klicova_slova_orig] => Robotics, Smart Hospital, Convolution Neural Network (CNN), U-Net, ASPOCRNet, Robot Operating System (ROS)
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[citace_text] => PARÁK, R.; JUŘÍČEK, M. Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm. Mendel Journal series, 2022, vol. 28, no. 1, p. 32-40. ISSN: 1803-3814.
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author="Roman {Parák} and Martin {Juříček}",
title="Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm",
journal="Mendel Journal series",
year="2022",
volume="28",
number="1",
pages="32--40",
doi="10.13164/mendel.2022.1.032",
issn="1803-3814",
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[nazev_en] => Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm
[popis_en] => Advanced robotics does not always have to be associated with Industry 4.0, but can also be applied, for example, in the Smart Hospital concept. Developments in this field have been driven by the coronavirus disease (COVID-19), and any improvement in the work of medical staff is welcome. In this paper, an experimental robotic platform was designed and implemented whose main function is the swabbing samples from the nasal vestibule. The robotic platform represents a complete integration of software and hardware, where the operator has access to a web-based application and can control a number of functions. The increased safety and collaborative approach cannot be overlooked. The result of this work is a functional prototype of the robotic platform that can be further extended, for example, by using alternative technologies, extending patient safety, or clinical tests and studies. Code is available at https://github.com/ Steigner/ Robo_ Medicinae_ I.
[klicova_slova_en] => Robotics, Smart Hospital, Convolution Neural Network (CNN), U-Net, ASPOCRNet, Robot Operating System (ROS)
[vysledek_datum] => 2022-06-30T00:00:00+02:00
)
[6] => Array
(
[vysledek_id] => 178842
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[nazev] => Modelling of Change in Fuel Mix within a District Heating Network
[nazev_orig] => Modelling of Change in Fuel Mix within a District Heating Network
[duvernost_udaju_id] => S
[popis] => Changing the fuel mix used in the heating industry, i.e., switching to greener fuels, is one of the possible solutions to prevent rising costs for final consumers in the context of rising emission allowance prices. This paper presents a methodology that offers the possibility to perform a comprehensive technical and economic assessment of a theoretical solution—changing the fuel mix of centralized heating sources—and other strategic decisions within a district’s heating systems. Emphasis is placed on fuels with a negative price, such as municipal waste. The presented approach can also be used to assess the effect of other significant changes related to the configuration of district heating systems on the economy of the plant, such as the impact of a decrease in heat demand and implementation of a steam turbine. The key benefit of this paper is an approach based on mathematical modelling of the operation of individual boilers with different operating parameters in terms of their start-up, shutdown, and mode of operation. A unique approach of optimizing an operation’s schedule using dynamic programming is presented, which enables the selection of a suitable solution for the configuration of binary variables in consecutive time steps. In this way, it is possible to achieve a more accurate estimate of the economics of the facility at the strategic planning stage that will consider the real operational capabilities of the heat source given its technical limitations. Using this approach, up to a 4% reduction in variable operating costs was achieved in the model case, when compared to static time interval planning.
[popis_orig] => Changing the fuel mix used in the heating industry, i.e., switching to greener fuels, is one of the possible solutions to prevent rising costs for final consumers in the context of rising emission allowance prices. This paper presents a methodology that offers the possibility to perform a comprehensive technical and economic assessment of a theoretical solution—changing the fuel mix of centralized heating sources—and other strategic decisions within a district’s heating systems. Emphasis is placed on fuels with a negative price, such as municipal waste. The presented approach can also be used to assess the effect of other significant changes related to the configuration of district heating systems on the economy of the plant, such as the impact of a decrease in heat demand and implementation of a steam turbine. The key benefit of this paper is an approach based on mathematical modelling of the operation of individual boilers with different operating parameters in terms of their start-up, shutdown, and mode of operation. A unique approach of optimizing an operation’s schedule using dynamic programming is presented, which enables the selection of a suitable solution for the configuration of binary variables in consecutive time steps. In this way, it is possible to achieve a more accurate estimate of the economics of the facility at the strategic planning stage that will consider the real operational capabilities of the heat source given its technical limitations. Using this approach, up to a 4% reduction in variable operating costs was achieved in the model case, when compared to static time interval planning.
[klicova_slova] => optimization; energy dispatch; district heating; waste to energy; fuel mix; dynamic programming
[klicova_slova_orig] => optimization; energy dispatch; district heating; waste to energy; fuel mix; dynamic programming
[url] => https://www.mdpi.com/1996-1073/13/8/1994/htm
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[nadrazena_soucast_nazev] => Faculty of Mechanical Engineering
[originalni_jazyk] => en
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[schvaleno] => 2023-02-01
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[vycet_osob] => PUTNA, O.; KŮDELA, J.; KRŇÁVEK, M.; PAVLAS, M.; ONDRA, K.
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[kod_doi] => 10.3390/en15082879
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[vysledek_kategorie_id] => PV
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[upravil] => Informační systém Automat
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[citace_text] => PUTNA, O.; KŮDELA, J.; KRŇÁVEK, M.; PAVLAS, M.; ONDRA, K. Modelling of Change in Fuel Mix within a District Heating Network. Energies, 2022, vol. 15, no. 8, p. 1-13. ISSN: 1996-1073.
[citace_html] => PUTNA, O.; KŮDELA, J.; KRŇÁVEK, M.; PAVLAS, M.; ONDRA, K. Modelling of Change in Fuel Mix within a District Heating Network. Energies, 2022, vol. 15, no. 8, p. 1-13. ISSN: 1996-1073.
[citace_rtf] =>
[citace_bibtex] => @article{BUT178842,
author="Ondřej {Putna} and Jakub {Kůdela} and Martin {Krňávek} and Martin {Pavlas} and Kamil {Ondra}",
title="Modelling of Change in Fuel Mix within a District Heating Network",
journal="Energies",
year="2022",
volume="15",
number="8",
pages="1--13",
doi="10.3390/en15082879",
url="https://www.mdpi.com/1996-1073/13/8/1994/htm"
}
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[poznamka_metriky] =>
[nazev_en] => Modelling of Change in Fuel Mix within a District Heating Network
[popis_en] => Changing the fuel mix used in the heating industry, i.e., switching to greener fuels, is one of the possible solutions to prevent rising costs for final consumers in the context of rising emission allowance prices. This paper presents a methodology that offers the possibility to perform a comprehensive technical and economic assessment of a theoretical solution—changing the fuel mix of centralized heating sources—and other strategic decisions within a district’s heating systems. Emphasis is placed on fuels with a negative price, such as municipal waste. The presented approach can also be used to assess the effect of other significant changes related to the configuration of district heating systems on the economy of the plant, such as the impact of a decrease in heat demand and implementation of a steam turbine. The key benefit of this paper is an approach based on mathematical modelling of the operation of individual boilers with different operating parameters in terms of their start-up, shutdown, and mode of operation. A unique approach of optimizing an operation’s schedule using dynamic programming is presented, which enables the selection of a suitable solution for the configuration of binary variables in consecutive time steps. In this way, it is possible to achieve a more accurate estimate of the economics of the facility at the strategic planning stage that will consider the real operational capabilities of the heat source given its technical limitations. Using this approach, up to a 4% reduction in variable operating costs was achieved in the model case, when compared to static time interval planning.
[klicova_slova_en] => optimization; energy dispatch; district heating; waste to energy; fuel mix; dynamic programming
[vysledek_datum] => 2022-04-17T00:00:00+02:00
)
[7] => Array
(
[vysledek_id] => 178850
[vysledek_druh_id] => SW
[ex_vysledek_id] => 36332
[vysledek_rok] => 2021
[nazev] => TiramisO - Prognóza produkce odpadů
[nazev_orig] => TiramisO - Prognóza produkce odpadů
[duvernost_udaju_id] => S
[popis] => Sw aplikace TiramisO je hlavním výsledkem projektu TIRSMZP719 (Prognózování produkce odpadů a stanovení složení komunálního odpadu). Jedná se o webovou aplikaci pro provádění a zobrazování výsledků prognózy produkce odpadů. Aplikace umožňuje vypočítat a zobrazovat výsledky prognózy všech kat. čísel, podskupin, skupin odpadů a předdefinovaných odpadových toků pro ČR, kraje a všechna území obcí s rozšířenou působností. Aplikace rozlišuje kategorie nebezpečný a ostatní odpad, u komunálních odpadů (KO) dále rozlišuje původce obec a firma. Neveřejný (přihlášený) uživatel má k dispozici další funkce. Zdrojový kód aplikace byl předán TAČR na sdílené uložiště. Součástí výsledku je také informační zpráva o průběhu tvorby software.
[popis_orig] => Sw aplikace TiramisO je hlavním výsledkem projektu TIRSMZP719 (Prognózování produkce odpadů a stanovení složení komunálního odpadu). Jedná se o webovou aplikaci pro provádění a zobrazování výsledků prognózy produkce odpadů. Aplikace umožňuje vypočítat a zobrazovat výsledky prognózy všech kat. čísel, podskupin, skupin odpadů a předdefinovaných odpadových toků pro ČR, kraje a všechna území obcí s rozšířenou působností. Aplikace rozlišuje kategorie nebezpečný a ostatní odpad, u komunálních odpadů (KO) dále rozlišuje původce obec a firma. Neveřejný (přihlášený) uživatel má k dispozici další funkce. Zdrojový kód aplikace byl předán TAČR na sdílené uložiště. Součástí výsledku je také informační zpráva o průběhu tvorby software.
[klicova_slova] => prognóza, produkce odpadu
[klicova_slova_orig] => prognóza, produkce odpadu
[url] => https://tiramiso.mzp.cz/
[oecd_obor_id] => 10102
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[odpovedny_utvar_nazev] => Institute of Process Engineering
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[nadrazena_soucast_nazev] => Faculty of Mechanical Engineering
[originalni_jazyk] => cs
[schvalil_id] => 1988
[schvaleno] => 2023-02-14
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[vykazovat_riv_zmeny] => 1
[slozka_id] =>
[posledni_diagnostika] =>
[vycet_osob] => ROUPEC, J.; PAVLAS, M.; ŠOMPLÁK, R.; SMEJKALOVÁ, V.; TALPA, J.
[pocet_tvurcu] => 5
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[druh_popis] => Software
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[upravil] => Informační systém Automat
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[upd_ts] => 2025-09-22
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[riv_dodavka_oznaceni] => RIV23-TA0-26210___
[riv_dodavka_rok] => 2023
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[citace_text] => ROUPEC, J.; PAVLAS, M.; ŠOMPLÁK, R.; SMEJKALOVÁ, V.; TALPA, J.: TiramisO - Prognóza produkce odpadů. URL: https://tiramiso.mzp.cz/. (Software)
[citace_html] => ROUPEC, J.; PAVLAS, M.; ŠOMPLÁK, R.; SMEJKALOVÁ, V.; TALPA, J.: TiramisO - Prognóza produkce odpadů. URL: https://tiramiso.mzp.cz/. (Software)
[citace_rtf] =>
[citace_bibtex] => @misc{BUT178850,
author="Jan {Roupec} and Martin {Pavlas} and Radovan {Šomplák} and Veronika {Smejkalová} and Jaroslav {Talpa}",
title="TiramisO - Prognóza produkce odpadů",
year="2021",
url="https://tiramiso.mzp.cz/",
note="Software"
}
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[oecd_tree_podobor_id] => 10102
[oecd_tree_podobor_nazev] => Applied mathematics
[poznamka_metriky] =>
[nazev_en] => TiramisO - Waste Production Forecasting
[popis_en] => The TiramisO SW application is the main result of the project TIRSMZP719 (Forecasting of waste production and determining the composition of municipal waste). It is a web application for performing and displaying the results of waste generation forecasting. The application allows you to calculate and display the forecast results of all cat. numbers, subgroups, groups of waste and predefined waste streams for the Czech Republic, regions and all territories of municipalities with extended scope. The application distinguishes between hazardous and other waste categories, for municipal waste (KO) it further distinguishes between the originator of the municipality and the company. Non-public (logged in) users have additional functions available. The source code of the application was transferred to TAČR for shared storage. Part of the result is also an informative report on the progress of software creation.
[klicova_slova_en] => forecasting, forecasting algorithms, waste production
[vysledek_datum] => 2021-12-31T00:00:00+01:00
)
[8] => Array
(
[vysledek_id] => 178940
[vysledek_druh_id] => ARTWOS
[ex_vysledek_id] => 145371
[vysledek_rok] => 2022
[nazev] => Mixed‑integer quadratic optimization for waste flow
quantifcation
[nazev_orig] => Mixed‑integer quadratic optimization for waste flow
quantifcation
[duvernost_udaju_id] => S
[popis] => The transition to a circular economy can be realized with higher waste recycling. With the knowledge of waste fows and the links between them, it is possible to plan the infrastructure of the entire system and set the goals needed for the transition to a circular economy. If the statistical analysis does not provide quality models, it is
possible to describe waste fows using basic balance relationships. This contribution presents an optimization model based on quadratic programming. The output of the model is an estimate of the waste amount that was managed to divert from mixed municipal waste to separate fractions in the past period. A key input is an estimate of the composition of mixed municipal waste. For a more detailed territorial model, composition estimates are often not available, so an optimization model using the principle of credibility has been proposed. Uncertain information for lower territorial units is corrected by aggregated results for the national level. The resulting optimization models were tested on the data of the Czech Republic for the period 2010–2018 in annual detail. The result interprets what part of the newly separated waste comes from mixed municipal waste. For the signifcant monitored fractions this value is low, 0.26 for bio-waste in the Czech Republic. On the contrary, the high part of the shift from mixed municipal waste is for plastic, 0.82. The results showed the advantage of correction at lower territory levels due to the high variability of the input data.
[popis_orig] => The transition to a circular economy can be realized with higher waste recycling. With the knowledge of waste fows and the links between them, it is possible to plan the infrastructure of the entire system and set the goals needed for the transition to a circular economy. If the statistical analysis does not provide quality models, it is
possible to describe waste fows using basic balance relationships. This contribution presents an optimization model based on quadratic programming. The output of the model is an estimate of the waste amount that was managed to divert from mixed municipal waste to separate fractions in the past period. A key input is an estimate of the composition of mixed municipal waste. For a more detailed territorial model, composition estimates are often not available, so an optimization model using the principle of credibility has been proposed. Uncertain information for lower territorial units is corrected by aggregated results for the national level. The resulting optimization models were tested on the data of the Czech Republic for the period 2010–2018 in annual detail. The result interprets what part of the newly separated waste comes from mixed municipal waste. For the signifcant monitored fractions this value is low, 0.26 for bio-waste in the Czech Republic. On the contrary, the high part of the shift from mixed municipal waste is for plastic, 0.82. The results showed the advantage of correction at lower territory levels due to the high variability of the input data.
[klicova_slova] => Data reconciliation; mixed-integer quadratic optimization; data
aggregation; waste production; mixed municipal waste; waste fow
[klicova_slova_orig] => Data reconciliation; mixed-integer quadratic optimization; data
aggregation; waste production; mixed municipal waste; waste fow
[url] => https://link.springer.com/content/pdf/10.1007/s11081-022-09762-z.pdf
[oecd_obor_id] => 10102
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[nadrazena_soucast_nazev] => Faculty of Mechanical Engineering
[originalni_jazyk] => en
[schvalil_id] => 72185
[schvaleno] => 2022-12-02
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[kod_doi] => 10.1007/s11081-022-09762-z
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[znamka] =>
[kategorie_nazev] => Publication results
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[druh_popis] => Peer-reviewed article included in Web of Science database as as an “Article”, “Review” or “Letter”
[stav] => Approved
[vysledek_kategorie_id] => PV
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[identifikator_popis] => ISSN - Optimization and engineering (NL)
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[citace_text] => ŠOMPLÁK, R.; SMEJKALOVÁ, V.; KŮDELA, J. Mixed‑integer quadratic optimization for waste flow quantifcation. Optimization and engineering, 2022, no. 27.8.2022, p. 1-25. ISSN: 1389-4420.
[citace_html] => ŠOMPLÁK, R.; SMEJKALOVÁ, V.; KŮDELA, J. Mixed‑integer quadratic optimization for waste flow quantifcation. Optimization and engineering, 2022, no. 27.8.2022, p. 1-25. ISSN: 1389-4420.
[citace_rtf] =>
[citace_bibtex] => @article{BUT178940,
author="Radovan {Šomplák} and Veronika {Smejkalová} and Jakub {Kůdela}",
title="Mixed‑integer quadratic optimization for waste flow
quantifcation",
journal="Optimization and engineering",
year="2022",
number="27.8.2022",
pages="1--25",
doi="10.1007/s11081-022-09762-z",
issn="1389-4420",
url="https://link.springer.com/content/pdf/10.1007/s11081-022-09762-z.pdf"
}
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[oecd_tree_podobor_nazev] => Applied mathematics
[poznamka_metriky] =>
[nazev_en] => Mixed‑integer quadratic optimization for waste flow
quantifcation
[popis_en] => The transition to a circular economy can be realized with higher waste recycling. With the knowledge of waste fows and the links between them, it is possible to plan the infrastructure of the entire system and set the goals needed for the transition to a circular economy. If the statistical analysis does not provide quality models, it is
possible to describe waste fows using basic balance relationships. This contribution presents an optimization model based on quadratic programming. The output of the model is an estimate of the waste amount that was managed to divert from mixed municipal waste to separate fractions in the past period. A key input is an estimate of the composition of mixed municipal waste. For a more detailed territorial model, composition estimates are often not available, so an optimization model using the principle of credibility has been proposed. Uncertain information for lower territorial units is corrected by aggregated results for the national level. The resulting optimization models were tested on the data of the Czech Republic for the period 2010–2018 in annual detail. The result interprets what part of the newly separated waste comes from mixed municipal waste. For the signifcant monitored fractions this value is low, 0.26 for bio-waste in the Czech Republic. On the contrary, the high part of the shift from mixed municipal waste is for plastic, 0.82. The results showed the advantage of correction at lower territory levels due to the high variability of the input data.
[klicova_slova_en] => Data reconciliation; mixed-integer quadratic optimization; data
aggregation; waste production; mixed municipal waste; waste fow
[vysledek_datum] => 2022-08-27T00:00:00+02:00
)
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[nazev] => Ověřená technologie pro WEDM obrábění měděné slitiny Ampcoloy
[nazev_orig] => Ověřená technologie pro WEDM obrábění měděné slitiny Ampcoloy
[duvernost_udaju_id] => S
[popis] => Výstupem bude ověřená technologie v podobě optimálního nastavení parametrů stroje elektroerozivní drátové řezačky pro obrábění měděné slitiny, s níž bude dosaženo zvýšení produktivity výroby v podobě zkrácení strojního času a také dodržení požadovaných parametrů topografie povrchu předepsaných normou VDI 3402Blatt4 na hodnotu 25-35, což umožní snížení přilnavosti povrchu a umožní snížení či plné odstranění užívání separačních sprejů obsluhou vstřikolisu.
[popis_orig] => Výstupem bude ověřená technologie v podobě optimálního nastavení parametrů stroje elektroerozivní drátové řezačky pro obrábění měděné slitiny, s níž bude dosaženo zvýšení produktivity výroby v podobě zkrácení strojního času a také dodržení požadovaných parametrů topografie povrchu předepsaných normou VDI 3402Blatt4 na hodnotu 25-35, což umožní snížení přilnavosti povrchu a umožní snížení či plné odstranění užívání separačních sprejů obsluhou vstřikolisu.
[klicova_slova] => WEDM; Ampcoloy; VDI 3402Blatt4 25-35; optimální nastavení parametrů stroje
[klicova_slova_orig] => WEDM; Ampcoloy; VDI 3402Blatt4 25-35; optimální nastavení parametrů stroje
[url] =>
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[vycet_osob] => DVOŘÁK, J; MOURALOVÁ, K.; BEDNÁŘ, J.; PROKEŠ, T.; ZAHRADNÍČEK, R.
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[znamka] =>
[kategorie_nazev] => Applied results
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[riv_dodavka_oznaceni] => RIV23-TA0-26210___
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[citace_text] => DVOŘÁK, J; MOURALOVÁ, K.; BEDNÁŘ, J.; PROKEŠ, T.; ZAHRADNÍČEK, R.: Ověřená technologie pro WEDM obrábění měděné slitiny Ampcoloy. (Ověřená technologie)
[citace_html] => DVOŘÁK, J; MOURALOVÁ, K.; BEDNÁŘ, J.; PROKEŠ, T.; ZAHRADNÍČEK, R.: Ověřená technologie pro WEDM obrábění měděné slitiny Ampcoloy. (Ověřená technologie)
[citace_rtf] =>
[citace_bibtex] => @misc{BUT178992,
author="Kateřina {Mouralová} and Josef {Bednář} and Tomáš {Prokeš} and Radim {Zahradníček}",
title="Ověřená technologie pro WEDM obrábění měděné slitiny Ampcoloy",
year="2022",
note="Verified technology"
}
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[poznamka_metriky] =>
[nazev_en] => Proven technology for WEDM machining of Ampcoloy copper alloy
[popis_en] => The output will be a proven technology in the form of an optimal setting of the machine parameters of an electroerosive wire cutter for machining copper alloy, with which an increase in production productivity will be achieved in the form of a reduction in machine time, as well as compliance with the required surface topography parameters prescribed by the VDI 3402Blatt4 standard to a value of 25-35, which will enable a reduction adhesion of the surface and will enable the reduction or complete elimination of the use of separation sprays by the injection molding operator.
[klicova_slova_en] => WEDM; Ampcoloy; VDI 3402Blatt4 25-35; optimal setting of machine parameters
[vysledek_datum] => 2022-07-29T00:00:00+02:00
)
[10] => Array
(
[vysledek_id] => 179012
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[nazev] => Tuning of grayscale computer vision systems
[nazev_orig] => Tuning of grayscale computer vision systems
[duvernost_udaju_id] => S
[popis] => Computer vision systems perform based on their design and parameter setting. In computer vision systems that use grayscale conversion, the conversion of RGB images to a grayscale format influences performance of the systems in terms of both results quality and computational costs. Appropriate setting of the weights for the weighted means grayscale conversion, co-estimated with other parameters used in the computer vision system, helps to approach the desired performance of a system or its subsystem at the cost of a negligible or no increase in its time-complexity. However, parameter space of the system and subsystem as extended by the grayscale conversion weights can contain substandard settings. These settings show strong sensitivity of the system and subsystem to small changes in the distribution of data in a color space of the processed images. We developed a methodology for Tuning of the Grayscale computer Vision systems (TGV) that exploits the advantages while compensating for the disadvantages of the weighted means grayscale conversion. We show that the TGV tuning improves computer vision system performance by up to 16% in the tested case studies. The methodology provides a universally applicable solution that merges the utility of a fine-tuned computer vision system with the robustness of its performance against variable input data.
[popis_orig] => Computer vision systems perform based on their design and parameter setting. In computer vision systems that use grayscale conversion, the conversion of RGB images to a grayscale format influences performance of the systems in terms of both results quality and computational costs. Appropriate setting of the weights for the weighted means grayscale conversion, co-estimated with other parameters used in the computer vision system, helps to approach the desired performance of a system or its subsystem at the cost of a negligible or no increase in its time-complexity. However, parameter space of the system and subsystem as extended by the grayscale conversion weights can contain substandard settings. These settings show strong sensitivity of the system and subsystem to small changes in the distribution of data in a color space of the processed images. We developed a methodology for Tuning of the Grayscale computer Vision systems (TGV) that exploits the advantages while compensating for the disadvantages of the weighted means grayscale conversion. We show that the TGV tuning improves computer vision system performance by up to 16% in the tested case studies. The methodology provides a universally applicable solution that merges the utility of a fine-tuned computer vision system with the robustness of its performance against variable input data.
[klicova_slova] => Computer vision; Parameter optimization; Performance evaluation; WECIA graph; Weighted means grayscale conversion
[klicova_slova_orig] => Computer vision; Parameter optimization; Performance evaluation; WECIA graph; Weighted means grayscale conversion
[url] => https://www.sciencedirect.com/science/article/pii/S0141938222001044
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[kod_doi] => 10.1016/j.displa.2022.102286
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[citace_text] => ŠKRABÁNEK, P.; MARTÍNKOVÁ, N. Tuning of grayscale computer vision systems. DISPLAYS, 2022, no. 74, p. 102286-102286. ISSN: 0141-9382.
[citace_html] => ŠKRABÁNEK, P.; MARTÍNKOVÁ, N. Tuning of grayscale computer vision systems. DISPLAYS, 2022, no. 74, p. 102286-102286. ISSN: 0141-9382.
[citace_rtf] =>
[citace_bibtex] => @article{BUT179012,
author="Pavel {Škrabánek} and Natália {Martínková}",
title="Tuning of grayscale computer vision systems",
journal="DISPLAYS",
year="2022",
number="74",
pages="102286--102286",
doi="10.1016/j.displa.2022.102286",
issn="0141-9382",
url="https://www.sciencedirect.com/science/article/pii/S0141938222001044"
}
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[poznamka_metriky] =>
[nazev_en] => Tuning of grayscale computer vision systems
[popis_en] => Computer vision systems perform based on their design and parameter setting. In computer vision systems that use grayscale conversion, the conversion of RGB images to a grayscale format influences performance of the systems in terms of both results quality and computational costs. Appropriate setting of the weights for the weighted means grayscale conversion, co-estimated with other parameters used in the computer vision system, helps to approach the desired performance of a system or its subsystem at the cost of a negligible or no increase in its time-complexity. However, parameter space of the system and subsystem as extended by the grayscale conversion weights can contain substandard settings. These settings show strong sensitivity of the system and subsystem to small changes in the distribution of data in a color space of the processed images. We developed a methodology for Tuning of the Grayscale computer Vision systems (TGV) that exploits the advantages while compensating for the disadvantages of the weighted means grayscale conversion. We show that the TGV tuning improves computer vision system performance by up to 16% in the tested case studies. The methodology provides a universally applicable solution that merges the utility of a fine-tuned computer vision system with the robustness of its performance against variable input data.
[klicova_slova_en] => Computer vision; Parameter optimization; Performance evaluation; WECIA graph; Weighted means grayscale conversion
[vysledek_datum] => 2022-08-17T00:00:00+02:00
)
[11] => Array
(
[vysledek_id] => 179072
[vysledek_druh_id] => CONPA
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[nazev] => Stabilization of Higher Periodic Orbits of the Duffing Map using Meta-evolutionary Approaches: A Preliminary Study
[nazev_orig] => Stabilization of Higher Periodic Orbits of the Duffing Map using Meta-evolutionary Approaches: A Preliminary Study
[duvernost_udaju_id] => S
[popis] => This paper deals with an advanced adjustment of stabilization sequences for complex chaotic systems by means of meta-evolutionary approaches in the form of a preliminary study. In this study, a two-dimensional discrete-time dynamic system denoted as Duffing map, also called Holmes map, was used. In general, the Duffing oscillator model represents a real system in the field of nonlinear dynamics. For example, an excited model of a string choosing between two magnets. There are many articles on the stabilization of various chaotic maps, but attempts to stabilize the Duffing map, moreover, for higher orbits, are rather the exception. In the case of period four, this is a novelty. This paper presents several approaches to obtaining stabilizing perturbation sequences. The problem of stabilizing the Duffing map turns out to be difficult and is a good challenge for metaheuristic algorithms, and also as benchmark function. The first approach is the optimal parameterization of the ETDAS model using multi-restart Nelder-Mead (NM) algorithm na Genetic Algorithm (GA). The second approach is to use the symbolic regression procedure. A perturbation model is obtained using Genetic Programming (GP). The third approach is two-level optimization, where the best GP model is subsequently optimized using NM and GA algorithms. A novelty of the approach is also the effective use of the objective function, precisely in relation to the process of optimization of higher periodic paths.
[popis_orig] => This paper deals with an advanced adjustment of stabilization sequences for complex chaotic systems by means of meta-evolutionary approaches in the form of a preliminary study. In this study, a two-dimensional discrete-time dynamic system denoted as Duffing map, also called Holmes map, was used. In general, the Duffing oscillator model represents a real system in the field of nonlinear dynamics. For example, an excited model of a string choosing between two magnets. There are many articles on the stabilization of various chaotic maps, but attempts to stabilize the Duffing map, moreover, for higher orbits, are rather the exception. In the case of period four, this is a novelty. This paper presents several approaches to obtaining stabilizing perturbation sequences. The problem of stabilizing the Duffing map turns out to be difficult and is a good challenge for metaheuristic algorithms, and also as benchmark function. The first approach is the optimal parameterization of the ETDAS model using multi-restart Nelder-Mead (NM) algorithm na Genetic Algorithm (GA). The second approach is to use the symbolic regression procedure. A perturbation model is obtained using Genetic Programming (GP). The third approach is two-level optimization, where the best GP model is subsequently optimized using NM and GA algorithms. A novelty of the approach is also the effective use of the objective function, precisely in relation to the process of optimization of higher periodic paths.
[klicova_slova] => Chaos control, Evolutionary computation, Lozi map, Henon map, Optimization
[klicova_slova_orig] => Chaos control, Evolutionary computation, Lozi map, Henon map, Optimization
[url] => https://ieeexplore.ieee.org/document/9870372
[oecd_obor_id] => 10201
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[odpovedny_utvar_nazev] => Institute of Automation and Computer Science
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[nadrazena_soucast_nazev] => Faculty of Mechanical Engineering
[originalni_jazyk] => en
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[schvaleno] => 2023-02-13
[vykazovat_riv] => 1
[vykazovat_riv_zmeny] => 1
[slozka_id] =>
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[vycet_osob] => MATOUŠEK, R.; HŮLKA, T.
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[kod_doi] => 10.1109/CEC55065.2022.9870372
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[zverejneno] => 1
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[korespondencni_autor] =>
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[znamka] =>
[kategorie_nazev] => Publication results
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[druh_popis] => Paper in proceedings (conference paper)
[stav] => Approved
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[upravil] => Informační systém Automat
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[upd_uid] => 999999
[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISBN 978-1-7281-8393-0
[identifikator_popis] => ISBN - 2022 IEEE Congress on Evolutionary Computation (CEC)
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[riv_dodavka_oznaceni] => RIV23-MSM-26210___
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[citace_text] => MATOUŠEK, R.; HŮLKA, T. Stabilization of Higher Periodic Orbits of the Duffing Map using Meta-evolutionary Approaches: A Preliminary Study. In 2022 IEEE Congress on Evolutionary Computation (CEC). IEEE Congress on Evolutionary Computation (CEC). Padova, Italy: IEEE, 2022. p. 1-8. ISBN: 978-1-7281-8393-0.
[citace_html] => MATOUŠEK, R.; HŮLKA, T. Stabilization of Higher Periodic Orbits of the Duffing Map using Meta-evolutionary Approaches: A Preliminary Study. In 2022 IEEE Congress on Evolutionary Computation (CEC). IEEE Congress on Evolutionary Computation (CEC). Padova, Italy: IEEE, 2022. p. 1-8. ISBN: 978-1-7281-8393-0.
[citace_rtf] =>
[citace_bibtex] => @inproceedings{BUT179072,
author="Radomil {Matoušek} and Tomáš {Hůlka}",
title="Stabilization of Higher Periodic Orbits of the Duffing Map using Meta-evolutionary Approaches: A Preliminary Study",
booktitle="2022 IEEE Congress on Evolutionary Computation (CEC)",
year="2022",
series="IEEE Congress on Evolutionary Computation (CEC)",
number="1",
pages="1--8",
publisher="IEEE",
address="Padova, Italy",
doi="10.1109/CEC55065.2022.9870372",
isbn="978-1-7281-8393-0",
url="https://ieeexplore.ieee.org/document/9870372"
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[nazev_en] => Stabilization of Higher Periodic Orbits of the Duffing Map using Meta-evolutionary Approaches: A Preliminary Study
[popis_en] => This paper deals with an advanced adjustment of stabilization sequences for complex chaotic systems by means of meta-evolutionary approaches in the form of a preliminary study. In this study, a two-dimensional discrete-time dynamic system denoted as Duffing map, also called Holmes map, was used. In general, the Duffing oscillator model represents a real system in the field of nonlinear dynamics. For example, an excited model of a string choosing between two magnets. There are many articles on the stabilization of various chaotic maps, but attempts to stabilize the Duffing map, moreover, for higher orbits, are rather the exception. In the case of period four, this is a novelty. This paper presents several approaches to obtaining stabilizing perturbation sequences. The problem of stabilizing the Duffing map turns out to be difficult and is a good challenge for metaheuristic algorithms, and also as benchmark function. The first approach is the optimal parameterization of the ETDAS model using multi-restart Nelder-Mead (NM) algorithm na Genetic Algorithm (GA). The second approach is to use the symbolic regression procedure. A perturbation model is obtained using Genetic Programming (GP). The third approach is two-level optimization, where the best GP model is subsequently optimized using NM and GA algorithms. A novelty of the approach is also the effective use of the objective function, precisely in relation to the process of optimization of higher periodic paths.
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