Relevant bibliographies by topics / Detekce a identifikace trhlin

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Academic literature on the topic 'Detekce a identifikace trhlin'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Detekce a identifikace trhlin"

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Dohnal, Vlastimil, and Daniel Jun. "Methods of detection and identification of moulds." Kontakt 14, no. 4 (December 30, 2012): 497–504. http://dx.doi.org/10.32725/kont.2012.049.

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Dissertations / Theses on the topic "Detekce a identifikace trhlin"

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Šubrt, Stanislav. "Návrh přístroje pro analýzu vzniku a šíření trhlin." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231511.

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The main goal of this thesis is to get an insight into a field of non-destructive testing using potential drop techniques that have nowadays become the standard not only in the fatigue and loading tests but also in the industry. These methods can serve to non-destructively and continuously measure material specimens, thickness, corrosion losses, deformations, spectroscopy and detection and analysis of crack geometry. They can help to identify materials and measure material changes over time. The second part of this thesis deals with designing the aperture for detection of cracks in steam and product piping using potential drop technique modified by Ing. Ladislav Korec, CSc. Last part deals with extensive testing, experimenting and evaluation of the aperture.
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Pražák, Ondřej. "Lokomoční identifikace osob." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217769.

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This paper deals with study of human movement and using that in identification. In the first part of my work are explained characteristics of human movement and factors which take effect on these characteristics. Practical part is dealing with design of program which is solving mentioned problems. The input of program is created by video sequence with lateral movement of human. The program is finding coordinates of lower limbs joints. From this coordinates are created locomotion characteristics used for human identification. Matching of time behaviors is based on correlation.
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Věžníková, Romana. "Detekce a identifikace typu obratle v CT datech onkologických pacientů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-316851.

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Automated spine or vertebra detection and segmentation from CT images is a difficult task for several reasons. One of the reasons is unclear vertebra boundaries and indistinct boundaries between vertebra. Next reason is artifacts in images and high degree of anatomical complexity. This paper describes the design and implementation of vertebra detection and classification in CT images of cancer patients, which adds to the complexity because some of vertebrae are deformed. For the vertebra segmentation, the Otsu’s method is used. Vertebra detection is based on search of borders between individual vertebra in sagittal planes. Decision trees or the generalized Hough transform is applied for the identification whereas the vertebra searching is based on similarity between each vertebra model shape and planes of CT scans.
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Povolný, Filip. "Detekce změny jazyka při hovoru." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234890.

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This master's thesis deals with code-switching detection in speech. The state-of-the-art methods of language diarization are described in the first part of the thesis. The proposed method for implementation is based on acoustic approach to language identification using combination of GMM, i-vector and LDA. New Mandarin-English code-switching database was created for these experiments. Using this system, accuracy of 89,3 % is achieved on this database.
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Danko, Michal. "Identifikace hudby, řeči, křiku, zpěvu v audio (video) záznamu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255309.

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This thesis follows the trend of last decades in using neural networks in order to detect speech in noisy data. The text begins with basic knowledge about discussed topics, such as audio features, machine learning and neural networks. The network parameters are examined in order to provide the most suitable background for the experiments. The main focus of the experiments is to observe the influence of various sound events on the speech detection on a small, diverse database. Where the sound events correlated to the speech proved to be the most beneficial. In addition, the accuracy of the acoustic events, previously used only as a supplement to the speech, is also a part of experimentation. The experiment of examining the extending of the datasets by more fairly distributed data shows that it doesn't guarantee an improvement. And finally, the last experiment demonstrates that the network indeed succeeded in learning how to predict voice activity in both clean and noisy data.
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Hopjan, Tomáš. "Detekce aut přijíždějících ke křižovatce." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236359.

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This project deals with monitoring cars approaching the crossroads. Describes various methods of detection and discussing their problems. Primary goal is surveillance during the day in different weather conditions, but method of detection cars during the night and low light is also introduced. The most widely used algorithms are implemented using the OpenCV library. Important part is testing different algorithms and also variety of lighting conditions, camera locations and settings.
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Polčák, Libor. "Zákonné odposlechy: detekce identity." Doctoral thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-412588.

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Komunikace předávaná skrze Internet zahrnuje komunikaci mezi pachateli těžké trestné činnosti. Státní zástupci schvalují cílené zákonné odposlechy zaměřené na podezřelé z páchání trestné činnosti. Zákonné odposlechy se v počítačových sítích potýkají s mnoha překážkami. Identifikátory obsažené v každém paketu jsou koncovým stanicím přidělovány po omezenou dobu, nebo si je koncové stanice dokonce samy generují a automaticky mění. Tato dizertační práce se zabývá identifikačními metodami v počítačových sítích se zaměřením na metody kompatibilní se zákonnými odposlechy. Zkoumané metody musejí okamžitě detekovat použití nového identifikátoru spadajícího pod některý z odposlechů. Systém pro zákonné odposlechy následně nastaví sondy pro odposlech komunikace. Tato práce se převážně zabývá dvěma zdroji identifikačních informací: sledováním mechanismu pro objevování sousedů a detekcí identity počítače na základě přesností měření času jednotlivých počítačů. V rámci dizertačního výzkumu vznikly grafy identit, které umožňují spojování identit s ohledem na znění povolení k odposlechu. Výsledky výzkumu je možné aplikovat v rámci zákonných odposlechů, síťové forenzní analýzy i ve vysokoúrovňových programově řízených sítích.
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Podloucká, Lenka. "Identifikace pauz v rušeném řečovém signálu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217266.

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This diploma thesis deals with pause identification with degraded speech signal. The speech characteristics and the conception of speech signal processing are described here. The work aim was to create the reliable recognizing method to establish speech and non-speech segments of speech signal with and without degraded speech signal. The five empty pause detectors were realized in computing environment MATLAB. There was the energetic detector in time domain, two-step detector in spectral domain, one-step integral detector, two-step integral detector and differential detector in cepstrum. The spectral detector makes use of energetic characteristics of speech signal in first step and statistic analysis in second step. Cepstral detectors make use of integral or differential algorithms. The detectors robustness was tested for different types of speech degradation and different values of Signal to Noise Ratio. The test of influence different speech degradation was conducted to compare non-speech detection for detectors by ROC (Receiver Operating Characteristic) Curves.
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Zavalina, Viktoriia. "Identifikace objektů v obraze." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220364.

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Master´s thesis deals with methods of objects detection in the image. It contains theoretical, practical and experimental parts. Theoretical part describes image representation, the preprocessing image methods, and methods of detection and identification of objects. The practical part contains a description of the created programs and algorithms which were used in the programs. Application was created in MATLAB. The application offers intuitive graphical user interface and three different methods for the detection and identification of objects in an image. The experimental part contains a test results for an implemented program.
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Hujňák, Jaroslav. "Identifikace 3D objektů pro robotické aplikace." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-416605.

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This thesis focuses on robotic 3D vision for application in Bin Picking. The new method based on Conformal Geometric Algebra (CGA) is proposed and tested for identification of spheres in Pointclouds created with 3D scanner. The speed, precision and scalability of this method is compared to traditional descriptors based method. It is proved that CGA maintains the same precision as the traditional method in much shorter time. The CGA based approach seems promising for the use in the future of robotic 3D vision for identification and localization of spheres.
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