Obor: IT

4G/5G remote communication and data acquisition – 1

To implement a robust and efficient stack for a selected embedded platform (such as STM32, ARM Linux, or ESP32) with reliable and secure (properly encrypted) data transfer on 4G (LTE) network and to add support for some leading industry-standard protocols – IEC 104, DLMS, BACnet,… https://www.fm.tul.cz

Benchmark of selected algorithms on acceleration cards

The aim of this work is to create benchmark computational tasks for AMD VCK5000 and AMD Alveo U50LV accelerator cards, investigating data throughput and computational performance on typical tasks such as matrix multiplication, FT computation or neural network inference. The benchmark will be compared to the same (or at least similar) tasks solved on GPUs…

Platform for synchronized remote audio signal collection

The acquisition of audio signals using MEMS microphones is limited by the length of the data wires. The microphones can be operated on a printed circuit board or at a very short distance from the receiver. Using differential wiring, the range could be extended using standard cabling and connectors (UTP). The objective of this work…

Bulding ECG Databases

The task is to create a general ECG database – explore and choose the proper database platform (SQL/NoSQL), create the design as the diagram scheme, and finally implement the database on a server and fill it up with data.  Skupina Umělá inteligence a medicínské technologie, oddělení Medicínské signály/Group of Artificial Intelligence and Medical Technologies https://www.isibrno.cz/cs

Local deformation mapping with 4D STEM software

4D STEM is an advanced transmission electron microscopy technique that simultaneously records a 2D diffraction pattern for each individual image point. Analysis of these patterns can then provide a wealth of information about the phase composition, crystallographic orientation and spatial distribution of microscopic deformations. During the internship the student will learn the basics of data…

AI methods in electron and fluorescence microscopy

New generations of electron microscopes and super-resolution fluorescence microscopes, combined with deep learning methods, offer unprecedented possibilities for the analysis of material and biological samples. During the placement, students will learn about reconstruction methods such as deconvolution and super-resolution, and gain insight into methods for automatic segmentation, detection and trekking of large numbers of small…

Bayesian Network Analysis of Conspiracy and Disinformation Narratives

In a recent opinion survey conducted by Czech Radio, the Institute of Sociology of the Czech Academy of Sciences, and the Investigace.cz website, several questions were asked about belief in conspiracy theories, trust in institutions, and media consumption. A number of psychological variables were also included in the survey. The aim of the work is…