The Siemens Community Catalyst program was co-created with our community to acknowledge technology leaders who consistently contribute to the Siemens Community. Nominations are accepted on a rolling basis.
Hi,
It's the same problem I have. did you solve it?
regards
Would you have a practical high level example?
What I sometimes do is using a reverse logic flow. So if the tokens can be used to remove 'good content', like the language you are looking for, what remains is 'bad content'. This return can then be used as a filter for your original set, so you can identify the good ones by deducting the outcome of the token process.
Not sure if it's helpfull, there may be other and better ways but more details can help in that case.
Join us for a community conversation on how High-Performance Computing (HPC) and Simcenter PSIM work together to meet the increasing demands of modern power electronics simulation. During this one-hour technical session, you'll discover how leveraging HPC can speed up simulations, improve scalability, and empower engineers…
Join us for a community conversation on accelerating your motor simulation workflow with Simcenter Simlab. In this beginner-friendly session, we'll introduce the platform's automated model-building capabilities and show how easy it is to set up your first electric motor analysis. You'll see the basic steps of geometry…
Join us for a Community Conversation where we'll discuss practical approaches to analyzing complex electromagnetic models using hybrid solver techniques. This session will provide a general overview of how different computational methods can be combined within a single simulation to address models containing varied…
