Our real-time tool now includes a feature that estimates and displays the expected duration of the startup process. This estimation is based on the measurement of the previous loading time, which is stored locally in the config folder for future reference.
If no previous data is available - for example, during the first launch - the system assumes a default loading time of 60 seconds. As soon as actual measurements are available, they will be used to provide a more accurate estimation during subsequent startups.
The estimated startup duration is visualized in two ways: as a color progress bar in the startup window and as accompanying text. This gives users a clearer sense of how long the process is likely to take, improving transparency and enhancing the user experience.
The KiRAT Logo in the main window is now "clickable". If you click with the mouse over the DSS logo the default browser will open the DSS webpage. To achieve this a new class called "ClickableLabel" has been introduced.
We decided to include a FAQ section in our real-time program to provide users with quick and accessible answers to the most common questions. This helps reduce support requests, improves the user experience, and ensures that essential information is always available without delay. By anticipating user needs, the FAQ section makes our program more efficient and user-friendly.
The FAQ section can also be accessed anytime through our website at https://www.kirat.de/index.php/faqs, making it easy for users to find answers even outside the real-time environment. If you have any suggestions for additions or changes, please send them to Gerhard Schmidt via
Since the old icon was not very well visible, a new icon was created. You can find it on the left.
Especially, for so-called "dark modes" in windows, the new icon allows to clearly differenciate the KiRAT tab in the Windows taskbar.
Prof. Dr.-Ing. Gerhard Schmidt
E-Mail: gus@tf.uni-kiel.de
Christian-Albrechts-Universität zu Kiel
Faculty of Engineering
Institute for Electrical Engineering and Information Engineering
Digital Signal Processing and System Theory
Kaiserstr. 2
24143 Kiel, Germany