I wanted to find out how much attentions validation time should be planned for DOE's (Design Of Experiment).
Testplaning - there are planning factors that need attention on repeatability over multi-runs, VT's and other varriables. Those thoughts will add or reduce validation time, resorces, and other infrustructure. I rely on DOE's to build statistics and modles to help focus on worst case areas. This gives many advantages like varriablility, repeatability, sensativity to help focus on more or focus less on particular areas. If you can not test milions of chips, platforms, and devices you need to plan a statistical target on exceptable margins. You can test ever thing so how do you plan and take some risks.
The company says it anticipates high-definition video for home security and other uses will be the next mature technology integrated into the IoT domain, hence the introduction of its MatrixCam devkit.
Siemens and Georgia Institute of Technology are partnering to address limitations in the current additive manufacturing design-to-production chain in an applied research project as part of the federally backed America Makes program.
Most of the new 3D printers and 3D printing technologies in this crop are breaking some boundaries, whether it's build volume-per-dollar ratios, multimaterials printing techniques, or new materials types.
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