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Dissertations / Theses on the topic 'Identifikace a detekce poruch'
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1
Voronin, Artyom. "Možnosti prediktivní údržby pneumatických pístů." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-444967.
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Tato práce se zabývá vytvořením simulačního modelu dvojčinného pneumatického pístu s mechanickou sestavou, včetně modelů snímačů, s následujícím odhadem parametrů a aproximací chování demonstračního zařízení. Dalším cílem je prezentace různých přístupů prediktivní údržby na datové sadě měřené na demonstračním zařízení. Na měřený datový soubor se aplikovaly signal-based techniky bez použití simulačního modelu a model-based metody, které vyžadují použití simulačního modelu. Výsledkem této práce je ověření možnosti monitorování stavu zařízení pomocí nainstalovaných senzorů a vyhodnocení efektivity senzorů z hlediska přesnosti a finančních nákladů.
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Vejmola, Tomáš. "Systém identifikace poruch pájeného spoje." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220224.
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This paper describes the draft and implementation of a system for identifying failures on the soldered joints from already existing system, which is, however, limited by dependence of the operating system of the human factor. The innovated system provides us an automatic testing of soldered joints using a computer, with subsequent processing of data electronically using the corresponding software. The first part is devoted to the theory of the formation of flaws on the soldered joints and to the familiarization with uninnovated system. Subsequently, work continues with the practical part, which introduces us the procedure and implementation of the innovated system for identifying failures on the soldered joints. The final part of this paper is an evaluation of the results and fulfilment of work requirements.
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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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Vašátko, Karel. "Detekce poruch v materiálech pomocí spektrální analýzy v reálném čase." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-221120.
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This thesis deals with detection of the natural frequencies in the material structures using algorithms working in real-time. It is used for detection of material damage. Is described physic of material, issue of discrete signals and their spectrums and methods for the calculation of the spectral components of the signal. These metods are implemented to Matlab programming environment. Methods are tested with simulated data and real signal.
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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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David, Jan. "Problematika hodnocení poruch a vad systémů ETICS." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2016. http://www.nusl.cz/ntk/nusl-239944.
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This diploma thesis discusses the problems of defects and faults of external thermal insulation composite systems. The first part describes the correct procedures for application systems, the next part describes defects, faults and their causes and the end of the thesis describes the contactless diagnostic methods used for the survey of ETICS. This part is mainly focus on detection of anchors. The example shows the calculation of anchoring.
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Špaňhel, Jakub. "Re-identifikace vozidla pomocí rozpoznání jeho registrační značky." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-264932.
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This thesis aims at proposing vehicle license plate detection and recognition algorithms, suitable for vehicle re-identification. Simple urban traffic analysis system is also proposed. Multiple stages of this system was developed and tested. Specifically - vehicle detection, license plate detection and recognition. Vehicle detection is based on background substraction method, which results in an average hit rate of ~92%. License plate detection is done by cascade classifiers and achieves an average hit rate of 81.92% and precision rate of 94.42%. License plate recognition based on Template matching results in an average precission rate of 60.55%. Therefore the new license plate recognition method based on license plate scanning using the sliding window principle and neural network recognition was introduced. Neural network achieves a precision rate of 64.47% for five input features. Low precision rate of neural network is caused by small amount of training sample for some specific license plate characters.
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Jakubíček, Roman. "Metody segmentace a identifikace deformovaných obratlů ve 3D CT datech onkologických pacientů." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-433053.
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In this doctoral thesis, the design of algorithms enabling the implementation of a fully automatic system for vertebrae segmentation in 3D computed tomography (CT) image data of possibly incomplete spines, in patients with bone metastases and vertebral compressions is presented. The proposed algorithm consists of several fundamental problems: spine detection and its axis determination, individual vertebra localization and identification (labeling), and finally, precise segmentation of vertebrae. The detection of the spine, specifically identifying its ends, and determining the course of the spinal canal, combines several advanced methods, including deep learning-based approaches. A novel growing circle method has been designed for tracing the spinal cord canal. Further, the innovative spatially variant filtering of brightness profiles along the spine axis leading to intervertebral disc localization has been proposed and implemented. The discs thus obtained are subsequently identified via comparing the tested vertebrae and model of vertebrae provided by a machine-learning process and optimized by dynamic programming. The final vertebrae segmentation is provided by the deformation of the complete-spine intensity model, utilizing a proposed multilevel registration technique. The complete proposed algorithm has been validated on testing databases, including also publicly available datasets. This way, it has been proven that the newly proposed algorithms provide results at least comparable to other author’s algorithms, and in some cases, even better. The main strengths of the algorithms lie in high reliability of the results and in the robustness to even strongly distorted vertebrae of oncological patients and to the occurrence of artifacts in data; moreover, they are capable of identifying the vertebra labels even in incomplete spinal CT scans. The strength is also in the complete automation of the processing and in its relatively low computational complexity enabling implementation on standard PC hardware. The system for fully automatic localization and labeling of distorted vertebrae in possibly incomplete spinal CT data is presented in this doctoral thesis. The design of algorithms enabling the implementation utilizes several novel approaches, which were presented at international conferences and published in the journal Jakubicek et al. (2020). Based on the results of the experimental validation, the proposed algorithms seem to be routinely usable and capable of providing fully acceptable input data (identified and precisely segmented vertebrae) as needed in the subsequent automatic spine bone lesion analysis.
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Zátopek, Michal. "Metody strojového vidění pro rozpoznání dopravního značení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221305.
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This diploma thesis is dealing with an issue of machine vision in the field of traffic signs recognition. The first part is devoted to machine vision in general traffic situations. Together with traffic applications there is paid attention to a possible autonomous vehicle and applications for the traffic signs recognition. The main part of this work is devoted to a description and an implementation of several methods for colour and pattern localisation of traffic signs in the scene and to identification algorithms. Apart from the implementation itself, these algorithms are submitted to several experiments for a valorisation of their success. The thesis also includes a gallery of images with traffic signs including a file with descriptive annotation for an automatic testing of algorithms.
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Nacev, Nikola. "Bezpečné aplikace s mikrokontroléry." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217490.
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The deals of thesis were described methods for designing safety applications, made analysis of possible microcontroller faults of long-run system, described software and hardware methods for fault detection in microcontroller and applied some March test to microcontroller. To application were chosen MATS+, PMOVI and March SS tests. These tests were modified to word-oriented memory. Further it was made analysis of modified tests to determination fault coverage, testing times and program memory requirement. To determination of fault coverage was created virtual memory with fault function models. March tests were compared with each other and with another pattern test (checkboard test).
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Stružka, Jaroslav. "Rozpoznávání podle sítnice oka." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237178.
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This thesis deals with recognition by retina (identification, verification). In introduction we describe information about human eye, its diseases with focus on retina impact. Further (in main part) we conduct SW analyses based on biometry retina requirements and design of SW application for retina recognition. It is based on processing pipeline design (sequential application of image filters). This pipeline mostly contains filters focused on edge detection, adaptive threshold and skeletonisation. Finally, basic SW functions includes users registration (enroll), identification, verification. In conclusion we discuss experimental results and success of designed SW in practical application.
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Krábková, Nikola. "Rizika textilních výrobních procesů při produkci kordu." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382706.
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This master's thesis deals with the issue of risk management in the selected company, which focuses mainly on production of technical fabrics. The theoretical basis of the thesis includes the definition of basic concepts related to risk management, identification, analysis and evaluation, as well as the precise procedures established according to the relevant ISO standards issued by the Office for Technical Standardization, Metrology and State Testing. The following section describes the current situation in the company, including introducing a process that identifies and identifies risks. These are then evaluated by the FMEA analysis and measures are proposed to reduce, possibly eliminate the risks.
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Uhrín, Peter. "Počítání unikátních aut ve snímcích." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445493.
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Current systems for counting cars on parking lots usually use specialized equipment, such as barriers at the parking lot entrance. Usage of such equipment is not suitable for free or residential parking areas. However, even in these car parks, it can help keep track of their occupancy and other data. The system designed in this thesis uses the YOLOv4 model for visual detection of cars in photos. It then calculates an embedding vector for each vehicle, which is used to describe cars and compare whether the car has changed over time at the same parking spot. This information is stored in the database and used to calculate various statistical values like total cars count, average occupancy, or average stay time. These values can be retrieved using REST API or be viewed in the web application.
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Jajtner, Jan. "Návrh vestavěného systému pro řízení výukového modelu rotačního kyvadla." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-232046.
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The basic aim of this work is to improve existing model of rotational inverted pendulum by adding new mechanical features, implement the control algorithm to dsPIC microcontroller and develop related control electronics thus extending the functionality of current model while making it more compact. The work contains derivation of dynamic equations both by means of analytical methods and multi-body formalism of SimMechanics. These are used to design a state controller stabilizing the pendulum in inverse position. In addition, parameters of the system are being estimated experimentally. Swing-up controller is developed to drive the pendulum to unstable position. Various state estimators are added to controller to improve the control process while comparing their overall performance. The last point is devoted to development of superior state-automaton designed to switch between different regulating modes including fail-detection algorithms providing smooth operation of the model.
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Mezina, Anzhelika. "Superrozlišení obličeje ze sekvence snímků." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413064.
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Táto práce se zabývá použitím hlubokého učení neuronových sítí ke zvýšení rozlišení obrázků, které obsahují obličeje. Tato metoda najde uplatnění v různých oblastech, zejména v bezpečnosti, například, při bezpečnostním incidentu, kdy policie potřebuje identifikovat podezřelého z nahraného videa ze sledovací kamery. Cílem této práce je navrhnout minimálně dvě architektury neuronových sítí, které budou pracovat se sekvencí snímků, a porovnat je s metodami zpracování jediného snímku. Pro tento účel je také vytvořena nová trénovací množina, obsahující sekvenci snímku obličeje. Metody zpracování jednoho snímku jsou natrénované na nové množině. Dále jsou navrženy nové metody zvětšení obrázků na základě sekvence snímků. Tyto metody jsou založené na U-Net modelu, který je úspěšný v segmentaci, ale také v superrozlišení. Pro zlepšení architektury byly použity reziduální bloky a jejich modifikace, a navíc také percepční ztrátová funkce, která dovoluje vyhnout se rozmazání a získání více detailů. První čast této práce je věnovana popisu neuronových sítí a některých architektur, jejichž modifikace mohou být použity v superrozlišení. Druhá část se poté zabývá popisem metod pro zvýšení rozlišení obrazu pomocí jednoho snímku, několika snímků a videa. Ve třetí části jsou popsány navržené metody a experimenty a v poslední části porovnaná metod založených na jednom snímku a několika snímcích. Navržené metody jsou schopny získat více detailů v obraze, ale mohou produkovat artefakty. Ty lze ale poté eliminovat pomocí filtru, například Gaussova. Nové metody méně selhávají při detekci obličejů, a to je podstatné u identifikace člověka v případě incidentu.
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Otava, Lukáš. "Algoritmy monitorování a diagnostiky pohonů se synchronními motory." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-447552.
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Permanent magnet synchronous machine drives are used more often. Although, synchronous machines drive also suffer from possible faults. This thesis is focused on the detection of the three-phase synchronous motor winding faults and the detection of the drive control loop sensors' faults. Firstly, a model of the faulty winding of the motor is presented. Effects of the inter-turn short fault were analyzed. The model was experimentally verified by fault emulation on the test bench with an industrial synchronous motor. Inter-turn short fault detection algorithms are summarized. Three existing conventional winding fault methods based on signal processing of the stator voltage and stator current residuals were verified. Three new winding fault detection methods were developed by the author. These methods use a modified motor model and the extended Kalman filter state estimator. Practical implementation of the algorithms on a microcontroller is described and experimental results show the performance of the presented algorithms in different scenarios on test bench measurements. Highly related motor control loop sensors fault detection algorithms are also described. These algorithms are complementary to winding fault algorithms. The decision mechanism integrates outputs of sensor and winding fault detection algorithms and provides an overall drive fault diagnosis concept.
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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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Maršál, Martin. "Elektronický modul pro akustickou detekci." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-240831.
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This diploma thesis deals with the design and implementation of an electronic module for acoustic detection. The module has the task of detecting a predetermined acoustic signals through them learned classification model. The module is used mainly for security purposes. To identify and classify the proposed model using machine learning techniques. Given the possibility of retraining for a different set of sounds, the module becomes a universal sound detector. With acoustic sound using the digital MEMS microphone, for which it is designed and implemented conversion filter. The resulting system is implemented into firmware microcontroller with real time operating system. The various functions of the system are realized with regard to the possible optimization (less powerful MCU or battery power). The module transmits the detection results of the master station via Ethernet network. In the case of multiple modules connected to the network to create a distributed system, which is designed for precise time synchronization using PTP protocol defined by the IEEE-1588 standard.
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Nouman, Ziad. "Užití programovatelných hradlových polí v systémech průmyslové automatizace." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2016. http://www.nusl.cz/ntk/nusl-234615.
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Tato disertační práce se zabývá využitím programovatelných hradlových polí (FPGA) v diagnostice měničů, využívajících spínaných IGBT tranzistorů. Je zaměřena na budiče těchto výkonových tranzistorů a jejich struktury. Přechodné jevy veličin, jako jsou IG, VGE, VCE během procesu přepínání (zapnutí, vypnutí), mohou poukazovat na degradaci IGBT. Pro měření a monitorování těchto veličin byla navržena nová architektura budiče IGBT. Rychlé měření a monitorování během přepínacího děje vyžaduje vysokou vzorkovací frekvenci. Proto jsou navrhovány paralelní vysokorychlostní AD převodníky (> 50 MSPS). Práce je zaměřena převážně na návrh zařízení s FPGA včetně hardware a software. Byla navržena nová deska plošných spojů s FPGA, která plní požadované funkce, jako je řízení IGBT pomocí vícenásobných paralelních koncových stupňů, monitorování a diagnostiku, a propojení s řídicí jednotkou měniče.
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Blahová-Dušánková, Jana. "Detekce kognitivních poruch u Roztroušené sklerózy." Doctoral thesis, 2014. http://www.nusl.cz/ntk/nusl-332317.
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Evaluation of cognitive impairment is often omitted in multiple sclerosis (MS), as the available instruments usually require considerable time and resources, and are not readily available in all countries. The aims of this study were to examine validity of the Czech translation of the MACFIMS (Minimal Assessment of Cognitive Function in MS), to validate the BICAMS (Brief International Cognitive Assessment for MS) and to compare outcomes of the MACFIMS and the BICAMS. We evaluated 367 MS patients and 134 healthy controls with the MACFIMS battery, which also comprises the 3 tests of the BICAMS (Symbol Digit Modalities Test, Brief Visuospatial Memory Test- Revised, California Verbal Learning Test, second edition). The most accurate BICAMS criterion of cognitive deficit was that of at least 1 of the overall 3 tests outside the normal range (sensitivity = 94%, specificity = 86%, p=10-28). Outcomes of the Czech translation of the MACFIMS were comparable to its original. The MACFIMS and the BICAMS identified cognitive deficit in 55% and 58% of the MS patients, respectively. Both the BICAMS and MACFIMS predicted patient vocational status. The BICAMS is highly sensitive and specific to cognitive impairment in MS as defined by the MACFIMS. This impairment is significantly associated with vocational status. Our work...
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BEJVLOVÁ, Lucie. "Molekulární detekce a identifikace fytoplazem infikujících broskvoně." Master's thesis, 2005. http://www.nusl.cz/ntk/nusl-44183.
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PODRÁBSKÁ, Kateřina. "Detekce a identifikace virů pomocí sekvenování nové generace (NGS)." Master's thesis, 2017. http://www.nusl.cz/ntk/nusl-317351.
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Next generation sequencing is a modern method applied in plant virology for sensitive detection of previously characterized and novel pathogens without any preceding knowledge of them. In this study three novel and two already described viruses were detected by de novo assembly of Illumina single-end reads ( Hi-Seq 2500 system) from total poly(A) enriched RNA of diseased red clover (Trifolium pratense) and indicator plant (Nicotiana occidentalis 37B). The complete genomic sequence of novel Red clover carlavirus A (RCCA) was determined from Illumina reads, 5´, 3´ RACE, cloning, RT-PCR and Sanger sequencing. The presence of RCCV was also confirmed in mechanically inoculated tobacco plant.
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BERAN, Pavel. "Detekce a identifikace bakterií patogenních pro rajče s použitím několika molekulárně biologických technik." Doctoral thesis, 2012. http://www.nusl.cz/ntk/nusl-119445.
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ŠIROKÁ, Nikola. "Možnosti identifikace rizika účetních podvodů a nesprávností ve finančních výkazech." Master's thesis, 2017. http://www.nusl.cz/ntk/nusl-381527.
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The main aim diploma thesis was the evaluation possibilities of detection accounting fraud and misstatements in financial reports for the managing business corporations. Diploma thesis is divided into two main chapters on literature search and practical. Part of this work was the analysis of techniques and models of of detection performed on a case study of a selected accounting unit. For of individual models calculations were used accounting data from financial statements that were provided by AB, s. r. o. An entity shall compile both financial statements comprehensibly, to give a true and fair view of accounting and financial situation. Risk analysis for of detection manipulation of financial statements, I chose Beneish model, model CFEBT and Jones Nondiscretionary Accruals.
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Gvizd, Peter. "Monitorovací systém laboratória založený na detekcii tváre." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-429794.
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In the last decades there has been such a fundamental development in the technologies including technologies focusing on face detection and identification supported by computer vision. Algorithm optimization has reached the point, when face detection is possible on mobile devices. At the outset, this work analy-ses common used algorithms for face detection and identification, for instance Haar features, LBP, EigenFaces and FisherFaces. Moreover, this work focuses on more up-to-date approaches of this topic, such as convolutional neural networks, or FaceNet from Google. The goal of this work is a design and its subsequent im-plementation of an automated, monitoring system designated for a lab, which is based on aforementioned algorithms. Within the design of the monitoring system, algorithms are compared with each other and their success rate and possible ap-plication in the final solution is evaluated.
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PLAŇANSKÝ, Jiří. "Použití přenosného spektrometru pro detekci radionuklidů v přepravovaných materiálech." Master's thesis, 2018. http://www.nusl.cz/ntk/nusl-376601.
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The aim of my diploma thesis was to assess possibilities of tracing and, consequently, identifying radionuclides in transported materials detected by detection frames on the protected area border of the nuclear power plant of Temelín, by means of the portable spectrometer Inspector 1000. To achieve this, I designed a series of measurements based on a simulated passage of a motor vehicle fitted with ionizining radiation sources of various activities at the designed points of measurement so that these measurements corresponded as close as possible to the actual passage of vehicles with large-sized loads. Recorded values were analysed and marginal activities for the particular measuring points were fixed. Computation correctness was then verified by another passage of the vehicle through the measuring device. Specified values of the marginal activities at the particular measuring points were, for comparison, consequently measured by the portable spectrometer Inspector 1000. Measurement results proved that the portable spectrometer Inspector 1000 can efficiently detect, identify and locate the sources of ionizing radiation causing the alarm level to be exceeded on a stable measuring device at the fixed measuring points, with a higher sensitivity than a stable measuring device. Conclusions of this diploma thesis will be given to the radiation protection unit of the nuclear power plant of Temelín as a basis for specification or even expansion of the methods of measuring ionizining radiation sources when transporting large-sized loads in the nuclear power plant, and their introduction into the monitoring programme.