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The modeling and automatic recognition of dance gestures often involve Hidden Markov Modeling (HMM) [7 10].
Surveying markers and glass prisms were placed on the rigging system to facilitate photogrammetric modeling and automatic RTS tracking.
In order to capture hidden and upcoming trends of product demand, the algorithm combines three different models: decision tree for large-scale data, discrete choice analysis for demand modeling, and automatic time series forecasting for trend analysis.
However, the specific requirements of MTS behavior modeling, i.e., continuous dynamics or even discrete/continuous hybrid behavior modeling, and automatic simulation and evaluation of the behavior models, are not supported by SysML which intends to create descriptive static design models.
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The technique performs automatic voxelization of a surface model and automatic tuning of the parameters of hexahedral finite elements, based on the distribution of material in each cell.
Furthermore, a software modelling tool is described that supports editing of software models and automatic source code generation for programmable logic controllers as well as automatic documentation generation.
Drought analysis was performed with the variable threshold level method and various statistical tools were applied, i.e. bivariate correlation analysis, heatmaps, linear models based on multiple regression, varying slope models, and automatic stepwise regression.
For the implementation of this approach, existing concepts and technologies of model-driven engineering are utilized as a starting point for system modelling and automatic code generation, which is realized by model to text transformations.
The gripper and turnover module design on pro/E Based on the above, V - rep software is selected to simulate building the virtual prototype model and automatic cigarette package matching of cigarette package, palletizing robot and auxiliary equipment.
Our results indicate that the presented approach is effective for model reduction and automatic updating of models according to new measurements, allowing identification of models that are more specific to e.g. certain species, temperatures or individuals.
The updating process has four key phases: initial FE modelling, modal testing, manual model tuning and automatic updating (conducted using specialist software).
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