Search results
Title Comparison of design and performance of snow cover computing on GPUs and multi-core processors Par.title Porovnanie návrhu a výkonu výpočtu výšky snehovej pokrývky na GPU a viacjadrových procesoroch Author info Vladimír Siládi, Jozef Siláči, Ladislav Huraj Author Siládi Vladimír 1970- (25%) UMBFP05 - Katedra informatiky
Co-authors Siláči Jozef (25%) UMBFP05 - Katedra informatiky
3 (50%)
Source document WSEAS transactions on information science and applications. Vol. 7, no. 10 (2010), pp. 1284-1294. - Atény : WSEAS, 2010 Keywords výška snehovej pokrývky viacjadrový procesor interpolácia multi-core processors snow cover depth interpolation Language English Country Greece systematics 004 Public work category ADE No. of Archival Copy 16844 Repercussion category ROKOTOV, Ju. B. - DROZDOVA, V. I. Programmnyj kompleks dlja čislennogo rešenija zadači magnitnoj levitacii. In Aktuaľnyje problemy i innovacii v ekonomike, upravlenii, obrazovanii, informacionnych technologijach. ISSN 2074-1685, 2011, vol. 1, no. 6, s. 153-156.
MEZENCEVA, O. S. - KOČEV, A. O. - MICHAJLOV, A. S. O realizacii nejronnoj seti konečnovo koľca na nejroprocessore Neuromatrix. In Aktuaľnyje problemy i innovacii v ekonomike, upravlenii, obrazovanii, informacionnych technologijach. ISSN 2074-1685, 2011, vol. 1, no. 6, s. 133-136.
ŠPENDLA, L. - TANUŠKA, P. Strategies and techniques of system testing. In Aktuaľnyje problemy i innovacii v ekonomike, upravlenii, obrazovanii, informacionnych technologijach. ISSN 2074-1685, 2011, vol. 1, no. 6, s. 103-105.
VLKOVIČ, O. - TANUŠKA, P. Effective automated system testing. In Aktuaľnyje problemy i innovacii v ekonomike, upravlenii, obrazovanii, informacionnych technologijach. ISSN 2074-1685, 2011, vol. 1, no. 6, s. 110-113.
HORALOVA KALINOVA, M. - MICHALCONOK, G. - GABRISK, D. Applying data mining methods to structural identificatio. In Advanced materials research. ISSN 1022-6680, 2013, vol. 605-607, pp. 2279-2283.
GANG, Mei. Evaluating the power of GPU acceleration for IDW interpolation algorithm. In Scientific world journal. ISSN 2356-6140, 2014, art. no. 171574, pp. [1-8].
BULTROWICZ, Szymon - CZARNUL, Paweł - ROŚCISZEWSKI, Paweł. Runtime visualization of application progress and monitoring of a GPU-enabled parallel environment. In Applications of information systems in engineering and bioscience : proceedings of the 13th international conference on software engineering, parallel and distributed systems (SEPADS '14) : proceedings of the 5th international conference on bioscience and bioinformatics (ICBB '14), Gdansk, 15th-17th May 2014. Gdansk : Gdańsk University of Technology, 2014. ISBN 978-960-474-381-0, pp. 70-79.
MEI, Gang - TIAN, Hong. Impact of data layouts on the efficiency of GPU-accelerated IDW interpolation. In SpringerPlus. ISSN 2193-1801, 2016, vol. 5, art. no. 104, pp. 1-18.
MEI, Gang - XU, Liangliang - XU, Nengxiong. Accelerating adaptive inverse distance weighting interpolation algorithm on a graphics processing unit. In Royal society open science. ISSN 2054-5703, 2017, vol. 4, no. 9, pp. 1-19.
MEI, Gang - XU, Nengxiong - XU, Liangliang. Improving GPU-accelerated adaptive IDW interpolation algorithm using fast kNN search. In SpringerPlus. ISSN 2193-1801, 2016, vol. 5, no. 1, pp. 1-22.
Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ References PERIODIKÁ-Súborný záznam periodika 
unrecognised
Title Bio-inspired Vision-based Navigation Systems Par.title Biológiou inšpirované obrazovo založené navigačné systémy Author info Peter Trhan Author Trhan Peter 1975- (100%) UMBFP01 - Katedra geografie a geológie
Source document Medzinárodná konferencia Applied Electronics 2007, Západočeská univerzita v Plzni, 5–6. 9. 2007. S. 223-226. - Plzeň : Západočeská univerzita v Plzni, 2007 Note Bibl.: s. 226 Keywords optický tok algoritmus interpolácie obrazu impulzné neurónové siete optical flow image interpolation algorithm spiking neural network Language English Country Czech Republic systematics 004.032.26 Annotation The paper deals with navigation control of mobile robots. In particular it looks at two bio-inspired approaches which use image information and are thus suitable for low-power consumption systems in early object detection and obstacle avoidance. The first approach is based on the processing of optical flow gained from one-dimensional image through an easy-to-calculate algorithm. The other approach is evolutional and it uses an artificial neural network and genetic algorithm. The algorithm determines individuals of the population using its fitness function Public work category AFC No. of Archival Copy 7256 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ unrecognised
Title The bio-inspired optical flow detector Par.title Biológiou inšpirovaný snímač optického toku Author info Peter Trhan, Matúš Mala, René Klaučo Author Trhan Peter 1975- (80%) UMBFP01 - Katedra geografie a geológie
Co-authors Mala Matúš (10%)
Klaučo René (10%)
Source document Informatics' 2007 : 9. ročník medzinárodnej konferencie, Bratislava, 21–22. 6. 2007. S. 77-80. - Bratislava : SSAKI, 2007 Note Bibl.: s. 80 Keywords optický tok algoritmus interpolácie obrazu jednorozmerné obrazy detekcia objektu optical flow image interpolation algorithm one-dimensional image object detection Language English Country Slovak Republic systematics 004 537.533.3 Annotation This paper deals with the problem of digital image processing and the method of optical flow detection. The optical flow contains information (spatial and temporal) which can be used for object detection in an environment as well as for navigation. The optical flow is defined through a vector field, the vectors of which represent speed at which the objects under detection move (environment texture). The described calculation method of optical flow and the proposed optical flow detector is inspired by biology, in particular by flying insects. The optical flow detector uses a simple algorithm and one-dimensional image detectors with low resolution. The proposed detector can be applied in low-energy systems for early object detection, obstacle avoidance and navigation, for example in autonomous ultra-light airplanes and slow-motion robots Public work category AFD No. of Archival Copy 7257 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ unrecognised