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Our study relates to the possibility of using the knowledge of an expert in modelling and, more particularly, on the automatic modelling of filling systems in foundry.
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The present paper describes an intelligent system AUTOPROMOD developed for automatic modeling of progressive die.
Specific examples of this work include the automatic modeling of antibody variable domains, the general modeling of homologous proteins and studies of DNA base-pair mismatches.
The proposed system utilizes interfacing of AutoCAD and AutoLISP for automatic modeling of die components and die assembly.
Automatic modeling of indoor scenes from raw point data has received considerable attention due to its wide applications in computer graphics and robotics.
The system allows the user firstly to model the strip-layout and then utilizes output data files generated during the execution of KBS modules of die components for automatic modeling of progressive die.
On the basis of the model, a software platform is developed by computer language QT and openGL interface and is oriented to the design users and sets up the MMI (human computer interaction) software interface for parameterization of building energy saving, which achieves automatic modeling of parameterization and promotes research on practical design cases.
The difficulties of automatic modelling for both layered construction and material partitioning are eliminated using the octree meshing algorithm.
Shotgun cartridges for target shooting and game hunting, bullets for semi-automatics modelled on weapons of war but euphemistically called "modern sporting rifles", and ammunition for pistols.
This specification can be used to drive different activities: rapid prototyping, provision of authoring notations and tools, automatic model checking of properties, importation/exportation from/to standards, and deployment of running applications.
Note that a second set of columns for the auto.arima function from the "forecast" package is included to identify the performance metrics of using the automatic modeling capabilities of the R package that was used to identify the best ARIMA model for each forecast.
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