Student EEICT 2022


Recent Submissions

Now showing 1 - 5 of 108
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    Analyses of apedal locomotion systems based on ferroelastomers
    (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2022) Kouakouo, S.; Böhm, V.; Zimmermann, K.
    In this paper, the movement behavior of amoeboid locomotion system is investigated and the theoretical proof of the locomotion of the system is provided with the finite element method. It is shown that not only the speed of locomotion but also its direction can be influenced by the drive frequency. Depending on the drive frequency, a movement from the home position and a subsequent movement in opposite directions can be achieved. In addition, high speeds of movement can be achieved in a limited frequency range.
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    Testing of UWB Sensors For Use in Multi-robot Relative Localization Systems and Design of UWB Plugin for ROS/Gazebo Simulation Environment
    (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2022) Raichl, P.; Marcon, P.
    This paper studies the possibility of using UWB sensors DWM1000 as a part of relative localization systems and a part of local avoidance systems in multi-robot systems, especially UAV swarms. The first part of the paper presents the behavior of UWB sensors DWM1000 in real, various conditions/environments. The second part of this paper describes ROS/Gazebo UWB plugin for relative localization. This plugin was created based on the first part of this paper and it is integrated with an open-source platform for UAVs from the Multi-robot Systems (MRS) group at the Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague. A Simple simulation of a multi-robot system with the designed, integrated plugin is shown.
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    Calculating the Cortical Thickness of Brain by using electrical and mathematical models for Optimal Transcranial Direct Current Stimulation
    (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2022) Hamza, Ali; Mezl, Martin; Zafar, Saima
    transcranial direct current stimulation (tDCS) is one of the most well-known brain stimulation techniques. In this technique, a constant low intensity (4mA to 5mA) current provides to the brain to modulate the excitability of neurons. There are two categories of tDCS, and both are used for diagnosing different neural disorders, one is anodal stimulation and the other one is cathodal stimulation. Anodal stimulation is used for patients of stroke, epilepsy and depression. Whereas cathodal stimulation is helpful for the obesity, drug addiction and hypertension. The aim of this research was to improve the efficiency of tDCS which depends on the intensity and magnitude of current applied for stimulation. It is important to note that there are numerous variables that can alter the intensity of the current. Some of these variables are hair thickness, head size, skull, tissues thickness, cortical fluid thickness, age, cortical thickness of the brain. In this article, the cortical thickness of the brain is estimated, and the current intensity is calculated for a patient. The Magnetic resonance images (MRI) data of 8 male subjects are analyzed, the raw MRIs are preprocessed, and layers of the head are segmented using MATLAB tool statistical parametric mapping (SPM). After the segmentation of these layers, we calculated the combined thickness of these layers to calculate the desired value of current. The authenticity of our results is compared with the standard current values. Our results shows that the calculated current intensity is closely matched with the standard values and is a direct function of the cortical thickness of brain which is computed from the MRIs. We claim that using our computation, the stimulation current is more accurate and is patient dependent instead of applying the same current to every patient.
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    Design of hybrid computer for modelling of dynamic systems
    (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2022) Rujzl, Miroslav
    This paper deals with the design of an analog computer with digitally controlled components for the simulation of linear and nonlinear dynamic systems or for the study of transfer functions of electronic filter or oscillator topologies. The device should allow partial adjustment using a standard computer and also record the measured results in digital form.
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    Performance comparison of a signal processing pipeline execution using CPU and GPU
    (Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2022) Tomašov, A.; Horváth, T.
    The paper compares the execution performance of NumPy and PyTorch mathematical libraries in embedded systems with graphics processing unit (GPU) acceleration. Both frameworks execute a signal processing pipeline from a fiber manipulation detection system, which inspects a signal from a state of polarization analyzer to enhance the security of optical fiber. The performance comparison is evaluated in the NVIDIA Jetson Nano system with 128-core Maxwell GPU. Based on the measured results, the PyTorch library executed on the GPU has performance improvement from 59 % to 84 % on different batch sizes. The results prove the real-time analysis capabilities of such a system with GPU acceleration.