🕛 TODAY at #INCOSEIS 🍀 'Building the digital bridge between MBSE and Engineering Simulation' 📅July 5, 09:00-11:15 | The Auditorium Today's panel is joined by #Ansys Senior Application Engineer, Alexander Busch. They'll be discussing trends and next steps for collaboration across Systems Engineering & Engineering Simulation. Specific information will include: 💡The Role and Challenges of Systems Modeling and Simulation 💡importance and status of relevant standards supporting Systems Modelling & Simulation, 💡Challenges and trends for connecting System Architecture modeling and Behavioral Simulation. #systemsengineering #SystemsEngineer #AnsysMBSE #AI #MBSE #SystemArchitecture #AutonomousVehicle #AutonomousVehicleTechnology #SystemSecurity #AnsysSAM #AnsysMBSE
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🕛 TODAY at #INCOSEIS 🍀 'Building the digital bridge between MBSE and Engineering Simulation' 📅July 5, 09:00-11:15 | The Auditorium Today's panel is joined by #Ansys Senior Application Engineer, Alexander Busch. They'll be discussing trends and next steps for collaboration across Systems Engineering & Engineering Simulation. Specific information will include: 💡The Role and Challenges of Systems Modeling and Simulation 💡importance and status of relevant standards supporting Systems Modelling & Simulation, 💡Challenges and trends for connecting System Architecture modeling and Behavioral Simulation. #systemsengineering #SystemsEngineer #AnsysMBSE #AI #MBSE #SystemArchitecture #AutonomousVehicle #AutonomousVehicleTechnology #SystemSecurity #AnsysSAM #AnsysMBSE
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Ever wondered how knowledge-based systems architecting can accelerate aircraft design processes? 👏 Last year, our research associate Nils Külper presented the paper "Model-Based Framework for Data and Knowledge-Driven Systems Architecting Demonstrated on a Hydrogen-Powered Concept Aircraft" at the INCOSE International Symposium. We are thrilled to announce that the paper has been selected for publication in the INCOSE Insight Magazine, addressing "Systems Engineering for Sustainability" (Volume 27, Issue 1)! 💡 The paper introduces a framework for knowledge-based systems architecting, using a model-based systems engineering approach from requirements to functions to logical architectures. To develop this framework, a trade-off between different MBSE tools, such as Capella, Cameo Systems Modeler, Avionics Architect, and MathWorks System Composer, is presented to solve the problem statement under given requirements and constraints. The feasibility of the framework is then demonstrated for the design of a novel hydrogen-powered concept aircraft with ten propulsion units. 📝 Are you eager to learn more? You can find the link to the paper in the comments! #TUHH #FST #INCOSEIS #MBSE #Capella #DassaultSystèmes #MathWorks
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Check out this study by Institute of Aircraft Systems Engineering: "Based on evaluating different modeling languages and tools, MathWorks System Composer is selected as the most suitable tool for knowledge-based systems architecting." You can start learning System Composer today with the new System Composer Onramp: https://lnkd.in/e2YHK7UW #mathworks #mbse #systemcomposer
Ever wondered how knowledge-based systems architecting can accelerate aircraft design processes? 👏 Last year, our research associate Nils Külper presented the paper "Model-Based Framework for Data and Knowledge-Driven Systems Architecting Demonstrated on a Hydrogen-Powered Concept Aircraft" at the INCOSE International Symposium. We are thrilled to announce that the paper has been selected for publication in the INCOSE Insight Magazine, addressing "Systems Engineering for Sustainability" (Volume 27, Issue 1)! 💡 The paper introduces a framework for knowledge-based systems architecting, using a model-based systems engineering approach from requirements to functions to logical architectures. To develop this framework, a trade-off between different MBSE tools, such as Capella, Cameo Systems Modeler, Avionics Architect, and MathWorks System Composer, is presented to solve the problem statement under given requirements and constraints. The feasibility of the framework is then demonstrated for the design of a novel hydrogen-powered concept aircraft with ten propulsion units. 📝 Are you eager to learn more? You can find the link to the paper in the comments! #TUHH #FST #INCOSEIS #MBSE #Capella #DassaultSystèmes #MathWorks
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Discover how Ansys STK, ModelCenter, and SAM are transforming digital engineering and MBSE practices. Join Qfinsoft (PTY) LTD for the Ansys upcoming webinar to see how these tools reduce design time and optimize engineering trade-offs. Register Today ➡: https://lnkd.in/dywHq68T #STK #ModelCenter #SAM #Ansys #Webinar #RegisterToday #Qfinsoft
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"Based on evaluating different modeling languages and tools, MathWorks System Composer is selected as the most suitable tool for knowledge-based systems architecting." Discover why MathWorks System Composer emerges as the tool of choice for knowledge-based systems architecting in this insightful Model-Based System Engineering tools trade-off study conducted by the Institute of Aircraft Systems at the University of Hamburg. #mathworks #mbse #systemcomposer
Ever wondered how knowledge-based systems architecting can accelerate aircraft design processes? 👏 Last year, our research associate Nils Külper presented the paper "Model-Based Framework for Data and Knowledge-Driven Systems Architecting Demonstrated on a Hydrogen-Powered Concept Aircraft" at the INCOSE International Symposium. We are thrilled to announce that the paper has been selected for publication in the INCOSE Insight Magazine, addressing "Systems Engineering for Sustainability" (Volume 27, Issue 1)! 💡 The paper introduces a framework for knowledge-based systems architecting, using a model-based systems engineering approach from requirements to functions to logical architectures. To develop this framework, a trade-off between different MBSE tools, such as Capella, Cameo Systems Modeler, Avionics Architect, and MathWorks System Composer, is presented to solve the problem statement under given requirements and constraints. The feasibility of the framework is then demonstrated for the design of a novel hydrogen-powered concept aircraft with ten propulsion units. 📝 Are you eager to learn more? You can find the link to the paper in the comments! #TUHH #FST #INCOSEIS #MBSE #Capella #DassaultSystèmes #MathWorks
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Following the publication of Nils Külper's paper on enhancing aircraft design through knowledge-based systems architecting, a key highlight emerged from the comparison of MBSE (Model-Based Systems Engineering) tools. Spoiler alert: "Based on evaluating different modeling languages and tools, MathWorks System Composer is selected as the most suitable tool for knowledge-based systems architecting." #MBSE #SystemComposer #Innovation #modelbaseddesign
Ever wondered how knowledge-based systems architecting can accelerate aircraft design processes? 👏 Last year, our research associate Nils Külper presented the paper "Model-Based Framework for Data and Knowledge-Driven Systems Architecting Demonstrated on a Hydrogen-Powered Concept Aircraft" at the INCOSE International Symposium. We are thrilled to announce that the paper has been selected for publication in the INCOSE Insight Magazine, addressing "Systems Engineering for Sustainability" (Volume 27, Issue 1)! 💡 The paper introduces a framework for knowledge-based systems architecting, using a model-based systems engineering approach from requirements to functions to logical architectures. To develop this framework, a trade-off between different MBSE tools, such as Capella, Cameo Systems Modeler, Avionics Architect, and MathWorks System Composer, is presented to solve the problem statement under given requirements and constraints. The feasibility of the framework is then demonstrated for the design of a novel hydrogen-powered concept aircraft with ten propulsion units. 📝 Are you eager to learn more? You can find the link to the paper in the comments! #TUHH #FST #INCOSEIS #MBSE #Capella #DassaultSystèmes #MathWorks
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The performance of EMC Absorber depends on geometric dimensions, frequency, and material properties. To understand how the reflection coefficient of an absorber is related to those variables a supervised learning model is useful. Often in typical EMC simulation application the reflection coefficients are known, but not the absorber material parameter. Such a ML approach facilitates reverse engineering for the simulation models of EMC absorbers. The example shows the prediction model of the reflection coefficient in the frequency range 30 MHz – 600 MHz. Training data have been created in Altair Feko and supervised learning was realized in Altair HyperStudy. In the age of AI-hype it is important to remember that ML predictions are inherently approximations with some error tolerances. That is considered by visualization of confidence intervals in the postprocessing (which is a useful feature in HyperStudy). It is worth to note that a relatively simple moving least square method (MLSM) has higher predictive power than a more sophisticated ANN which tends to overfitting for this data set. I want to thank Benoit Derat for inspiring discussions and valuable input about EMC absorber and OTA test sites. If you want to learn more about supervised and unsupervised learning in Computational Electro-Magnetics then visit our half-day workshop about “Antenna Design and Optimization using Machine Learning” from C.J. Reddy and myself at the IEEE AP-S/URSI 2024 International Symposium on Antennas and Propagation in Florence. https://lnkd.in/ea6Y25pF A registration link will be soon available. #EMC, #Absorber, #OTA, #ComputationalElectromagnetics, #Feko, #HyperStudy, #Altair, #MachineLearning, #Regression,
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NAFEM free Webinar: An Introduction to Verification, Validation and Uncertainty Quantification in Scientific Computing https://lnkd.in/ebjK9xX6
An Introduction to Verification, Validation and Uncertainty Quantification in Scientific Computing
nafems.org
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This is a very interesting way to make advanced functions made in Modelica or Python available for ordinary automation.
I’m very pleased to have presented our work as first author at the 64th international Conference of Scandinavian Simulation Society (SIM23) on “An embedded industrial control system framework for model predictive control of a district heat substation”. The conference was hosted by Mälardalen University. Konstantinos Kyprianidis Gunnar Bengtsson, PhD Stavros Vouros #mdu #sims23 #embeddedsystems #distheat #mpc #controlsystems #ai #firstcontrol #array #mitc
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