Institution
Brno University of Technology
Education•Brno, Czechia•
About: Brno University of Technology is a education organization based out in Brno, Czechia. It is known for research contribution in the topics: Fracture mechanics & Filter (video). The organization has 6339 authors who have published 15226 publications receiving 194088 citations. The organization is also known as: Vysoké učení technické v Brně & BUT.
Papers published on a yearly basis
Papers
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TL;DR: Red yeast strains cultivated at optimal growth conditions and in medium with modified carbon and nitrogen sources produced dried carotenoid-enriched red yeast biomass which could be directly used in feed industry as nutrition supplement.
115 citations
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TL;DR: In this paper, several alkali activated aluminosilicate (AAA) materials prepared using waste brick powder as a precursor are analyzed from both functional and environmental points of view.
115 citations
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TL;DR: A heuristic seeding mechanism is introduced to CGP which allows for improving not only the quality of evolved circuits, but also reducing the time of evolution and the efficiency of the proposed method is evaluated.
Abstract: In approximate computing, the requirement of perfect functional behavior can be relaxed because some applications are inherently error resilient. Approximate circuits, which fall into the approximate computing paradigm, are designed in such a way that they do not fully implement the logic behavior given by the specification and, hence, their accuracy can be exchanged for lower area, delay or power consumption. In order to automate the design process, we propose to evolve approximate digital circuits that show a minimal error for a supplied amount of resources. The design process, which is based on Cartesian genetic programming (CGP), can be repeated many times in order to obtain various tradeoffs between the accuracy and area. A heuristic seeding mechanism is introduced to CGP, which allows for improving not only the quality of evolved circuits, but also reducing the time of evolution. The efficiency of the proposed method is evaluated for the gate as well as the functional level evolution. In particular, approximate multipliers and median circuits that show very good parameters in comparison with other available implementations were constructed by means of the proposed method.
115 citations
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TL;DR: Only unmodified Fe2O3 nanoparticles are suitable for intended biosensing application in vitro (e.g. detection of viral nucleic acids) and the phase purification of this sample for this purpose is not necessary.
Abstract: The fabrications of iron oxides nanoparticles using co-precipitation and gadolinium nanoparticles using water in oil microemulsion method are reported in this paper. Results of detailed phase analysis by XRD and Mossbauer spectroscopy are discussed. XRD analysis revealed that the crystallite size (mean coherence length) of iron oxides (mainly γ-Fe2O3) in the Fe2O3 sample was 30 nm, while in Fe2O3/SiO2 where the e-Fe2O3 phase dominated it was only 14 nm. Gd/SiO2 nanoparticles were found to be completely amorphous, according to XRD. The samples showed various shapes of hysteresis loops and different coercivities. Differences in the saturation magnetization (MS) correspond to the chemical and phase composition of the sample materials. However, we observed that MS was not reached in the case of Fe2O3/SiO2, while for Gd/SiO2 sample the MS value was extremely low. Therefore we conclude that only unmodified Fe2O3 nanoparticles are suitable for intended biosensing application in vitro (e.g. detection of viral nucleic acids) and the phase purification of this sample for this purpose is not necessary.
114 citations
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TL;DR: This paper deals with shape extraction from depth images (point clouds) in the context of modern robotic vision systems by presenting various optimizations of the 3D Hough Transform used for plane extraction from point cloud data.
114 citations
Authors
Showing all 6383 results
Name | H-index | Papers | Citations |
---|---|---|---|
Georg Kresse | 111 | 430 | 244729 |
Patrik Schmuki | 109 | 763 | 52669 |
Michael Schmid | 88 | 715 | 30874 |
Robert M. Malina | 88 | 691 | 38277 |
Jiří Jaromír Klemeš | 64 | 565 | 14892 |
Alessandro Piccolo | 62 | 284 | 14332 |
René Kizek | 61 | 672 | 16554 |
George Danezis | 59 | 209 | 11516 |
Stevo Stević | 58 | 374 | 9832 |
Edvin Lundgren | 57 | 286 | 10158 |
Franz Halberg | 55 | 750 | 15400 |
Vojtech Adam | 55 | 611 | 14442 |
Lukas Burget | 53 | 252 | 21375 |
Jan Cermak | 53 | 238 | 9563 |
Hynek Hermansky | 51 | 317 | 14372 |