LOCATION/LABORATORY
- Inkubátorház II/2.19 (H-4028 Debrecen, Kassai út 26, Hungary)
LEADER
- László TÓTH, PhD
MEMBERS
- Ádám FAZEKAS, PhD Student
- Ádám VAS, PhD Student
- Zsolt BAGOLY, PhD Student
- Balázs KREITH, PhD Student
- Róbert TÖRÖK, MSc Student
- Gergő GYULAI, BSc Student
- Balázs KÁLMÁNCHEY, BSc Student
- Martin KELEMEN, BSc Student
- Marcell MÁRTONFALVI, BSc Student
DEVELOPMENT OF DISTRIBUTED SENSOR NETWORK FOR NUMERICAL WEATHER PREDICTION CALCULATIONS (DSN-PC)
The prediction of weather generally means the numerical solution of differential equations on the base of the measured initial conditions that requires the maintenance of expensive network of weather stations and supercomputers. However, if weather stations are not only capable of measuring but can also communicate with each other, then these smart sensors can also be applied to run forecasting calculations. This applies the highest possible level of parallelization without the collection of measured data into one place. Furthermore, if more nodes are involved, the result becomes more accurate, but the computing power required from one node does not increase.
DEVELOPMENT OF METHODS OF FILTERING THE EFFECT OF CHROMATIC ABERRATION (FECA) AND SOFTWARE BASED IMAGING ENERGY ANALYZER (SBIEA)
Our development of FECA based SBIEA method can eliminate the effect of chromatic aberration from the images of a measured spectral image sequence by determining and removing the effect of higher and lower kinetic energy particles/photons on each different energy image, which leads to significant improvement of image and spectral quality. The method is based on the numerical solution of a large system of linear equations where the matrix elements that originate from the solution of a systems of strongly nonlinear differential equations describes the chromatic aberration related transmission function of the lens system. Since the method can be applied not only on 2D real- and k-space diffraction images, but also along a third energy dimension it functions as SBIEA.
DEVELOPMENT OF METHODS IN ULTRASOUND COMPUTER TOMOGRAPHY (USCT)
In USCT several transducers are arranged around the investigated area in a fixed geometry. This method eliminates the human error and therewith is capable of taking reproducible volume-images with sub-wavelength resolution and higher contrast than conventional instruments. Although the idea of ultrasound computer tomography goes back to the 70’s the development of a simple experimental USCT instrument can be both a technical challenge as well as an educational project to support experiential learning.