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Soft X-ray Diagnostic System Upgrades and Data Quality Monitoring Features for Tokamak Usage

Wojenski Andrzej, Linczuk Paweł, Piotr Kolasinski, Chernyshova Maryna, Mazon Didier, Kasprowicz Grzegorz, Pozniak Krzysztof T., Gaska Michał, Czarski Tomasz, Krawczyk Rafał

International Journal of Electronics and Telecommunications

2021

Vol. 67, No. 1

109--114

The validation of the measurements quality after on-site diagnostic system installation is necessary in order to provide reliable data and output results. This topic is often neglected or not discussed in detail regarding measurement systems. In the paper recently installed system for soft X-ray measurements is described in introduction. The system is based on multichannel GEM detector and the data is collected and sent in special format to PC unit for further postprocessing. The unique feature of the system is the ability to compute final data based on raw data only. The raw data is selected upon algorithms by FPGA units. The FPGAs are connected to the analog frontend of the system and able to register all of the signals and collect the useful data. The interface used for data streaming is PCIe Gen2 x4 for each FPGA, therefore high throughput of the system is ensured. The paper then discusses the properties of the installation environment of the system and basic functionality mode. New features are described, both in theoretical and practical approach. New modes correspond to the data quality monitoring features implemented for the system, that provide extra information to the postprocessing stage and final algorithms. In the article is described also additional mode to perform hardware simulation of signals in a tokamak-like environment using FPGAs. The summary describes the implemented features of the data quality monitoring features and additional modes of the system.

Geometric tasks difficulty from another view

Gergelitsová Šárka, Holan Tomáš

Journal Biuletyn of Polish Society for Geometry and Engineering Graphics

2019

Vol. 32

17--22

Geometric knowledge and skills are necessary prerequisite for successful engineering study in many branches. Unfortunately, acquiring those is difficult for many even since the very beginning in primary and secondary schools and it needs to be supported. It is obvious that different students need different amounts of time to solve the same task. We raised a question whether or not the speed at which a student solves different tasks is a characteristic property of the individual student. We have analysed the data obtained during the eight years of operating GeoTest – an online system for the assignment of construction geometry tasks and automatic evaluation of the correctness of their solutions. The answer is that a student resolves some tasks quickly and some slowly (compared to another students).

Wiedza i umiejętności geometryczne są niezbędnym warunkiem udanego studiowania inżynierii w wielu branżach. Niestety, zdobycie ich jest trudne dla wielu i od początku, już w szkole podstawowej i średniej, należy je wspierać. Oczywistym jest, że różni uczniowie potrzebują różnej ilości czasu, aby rozwiązać to samo zadanie. W pracy autorzy postawili sobie pytanie, czy szybkość, z jaką uczeń rozwiązuje różne zadania, jest charakterystyczną właściwością każdego ucznia. Przeanalizowano dane uzyskane w ciągu ośmiu lat funkcjonowania GeoTest - internetowego systemu do przydzielania zadań geometrii konstrukcji i automatycznej oceny poprawności ich rozwiązań. Odpowiedź jest taka: uczeń rozwiązuje niektóre zadania szybko, a niektóre powoli (w porównaniu z innymi uczniami).

Advanced Real-time Evaluation and Data Quality Monitoring Model Integration with FPGAs for Tokamak High-performance Soft X-ray Diagnostic System

Wojenski A., Poźniak K., Mazon D., Chernyshova M.

International Journal of Electronics and Telecommunications

2018

Vol. 64, No. 4

473--479

Based on the publications regarding new or recent measurement systems for the tokamak plasma experiments, it can be found that the monitoring and quality validation of input signals for the computation stage is done in different, often simple, ways. In the paper is described the unique approach to implement the novel evaluation and data quality monitoring (EDQM) model for use in various measurement systems. The adaptation of the model is made for the GEM-based soft X-ray measurement system FPGA-based. The EDQM elements has been connected to the base firmware using PCI-E DMA real-time data streaming with minimal modification. As additional storage, on-board DDR3 memory has been used. Description of implemented elements is provided, along with designed data processing tools and advanced simulation environment based on Questa software.