• Electrohydrodynamic Model Of Electron Microscope 

  Mačák, Martin (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  This work presents a complex multiphysics model of an electron microscope in ANSYSFluent software. A custom electromagnetic model was used to describe the relativistic transport ofelectrons. The model consisted of a ...

• Fiber-Coupled Fabry-Pérot Interferometric Sensor: Analysis And Modelling 

  Skalský, Michal (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  This paper presents a theoretical analysis of the Fabry-Pérot interferometric sensor utilizingan extrinsic fiber-optic cavity. Its behavior is modelled and simulated for various conditions,showing the key properties of the ...

• Characterization Of Aln Nanolayers Deposited On A Surface Of Hopg By Pe-Ald 

  Dallaev, Rashid (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  In this study plasma-enhanced atomic layer deposition process of AlN has been performedwith the purpose to test the expediency of highly oriented pyrolytic graphite (HOPG) to serve as asubstrate in such process. The obtained ...

• Pedestrian Detector Domain Shift Robustness Evaluation, And Domain Shift Error Mitigation Proposal 

  Zemčík, Tomáš (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  This paper evaluates daytime to nighttime traffic image domain shift on Faster R-CNNand SSD based pedestrian and cyclist detectors. Daytime image trained detectors are applied on anewly compiled nighttime image dataset and ...

• Recovery Of Cathode Material From Li-Ion Batteries 

  Guricová, Patrícia (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  This article focuses on the possibilities of recycling materials from spent Li-ion batteries,especially on direct recycling. Lithium-ion batteries (LIBs) are gradually replacing other types ofaccumulators from practical ...

• Verification Of Modeling Approach By Using Model Of Calculable Capacitor And Determination Of Its Accuracy 

  Mancl, Vlastimil (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  During the creation of any sort of model the inevitable question about the model correctnessand accuracy, should always be answered. This paper proposes a simple method for modelersto prove their approach to modeling and ...

• Gel Polymer Electrolytes Composed Of Ethyl Methacrylate And Methyl Methacrylate Measured At Higher Temperature 

  Peterová, Soňa (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  This paper is focused on the use of gel polymer electrolytes composed of copolymers ofethyl methacrylate and methyl methacrylate with positive NMC electrode (LiNi0.33Mn0.33CO0.33O2).This article describes the composition ...

• Comparison Of Measurement Methods For Characterization Of 3d Printed Lowloss Artificial Dielectric Substrate Based On Cross Unit Cell 

  Kaděra, Petr (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  This paper deals with the effective complex permittivity determination of low-loss 3Dprinted artificial dielectric substrate based on a cross unit cell. The two resonators working withTE011 and TM010 modes suitable for a ...

• Profilometry Measurements Of Magnetic Plates Mounted On Rotors 

  Mach, Radoslav (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  Presented project deals with optical profilometric analysis of magnetic plates positionwithin the rotors surface. The focus of this work is to determine whether measuring by laserprofilometry scanning of the surface is ...

• Hardware-Accelerated Cryptography For Software-Defined Networks 

  Cíbik, Peter (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  This paper presents a Software-Defined Network (SDN) cryptographic solution targetedon high-speed smart Network Interface Cards (NICs) with an FPGA chip. This solution providesa fast alternative method to develop ...

• Simulator Of Network Communication With Map Interface For Ns3 

  Benedikt, Jan (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  The work deals with the description of creating a network simulator with a map interfacefor Network Simulator 3. The first part of the work deals with the existing solution Network Animator(NetAnim) and based on the submitted ...

• Pathways Identification In The Gram-Positive Bacterium Aneurinibacillus Species H1 

  Musilová, Jana (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  Here, we present the first insight into the Gram-positive, promising polyhydroxyalkanoatesproducer Aneurinibacillus species H1. Both static and dynamic properties are described inthis paper with the aim on identification ...

• Evaluation Of The Neural Network Object Detection In Multi-Modal Images 

  Ligocki, Adam (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  This paper studies the information gain of various data domains that are commonly usedin the modern Advanced Driving Assistant Systems (ADAS) to develop robust systems that wouldincrease traffic safety. We could see a fast ...

• Universal Multi-Rat Tester For Mmtc Applications 

  Juráň, Radovan; Možný, Radek (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  While the IoT has made significant progress along the lines of supporting its individualapplications, there are many massive Machine-Type Communication (mMTC) scenarios in which theperformance offered by any single Radio ...

• Phishing Detection Using Deep Learning Attention Techniques 

  Safonov, Yehor (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  In the modern world, electronic communication is defined as the most used technologyfor exchanging messages between users. The growing popularity of emails brings about considerablesecurity risks and transforms them into ...

• Object Detection Networks For Localization And Classification Of Intracranial Hemorrhages 

  Nemcek, Jakub (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  Intracranial hemorrhages represent life-threatening brain injuries. This paper presents twostate-of-the-art object detection systems (Faster R-CNN and YOLO v2) which are trained to localizeand classify hemorrhages in axial ...

• Utilization Of Convolutional Neural Networks For Segmentation Of Mouse Embryos Cartilaginous Tissue In Micro-Ct Data 

  Poláková, Veronika (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  Automatic segmentation of the biological structures in micro-CT data is still a challengesince the object of interest (craniofacial cartilage in our case) is commonly not characterized by uniquevoxel intensity or sharp ...

• Automatic Adaptive Optics Retinal Images Montaging 

  Valterova, Eva (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  The adaptive optics images capture limited field of view. Nevertheless, the quantitativeretina assessment requires analysis over extended areas captured by images on various retina positions.The fully automated method for ...

• Accelerometer-Based Monitoring Of Steering Wheel Angle 

  Navrátil, Tadeáš (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  This paper deals with the design of a device for measuring the steering wheel angle. Themain goal was to design a basic concept of the device which is using data gathered from three accelerometersin the reconstruction ...

• Cell And Sub-Cellular Segmentation In Quantitative Phase Imaging Using U-Net 

  Majerčík, Jakub; Špaček, Michal (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2021)

  The ability to automatically segment images, especially microscopy images of cells, opensnew opportunities in cancer research or other practical applications. Recent advancements in deeplearning enabled for effective ...

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