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Klipper is set up on a computer running Linux (such as Raspberry Pi), and in addition, appropriate firmware must be flashed onto the printer's microcontroller. Configuration is done through a text-based configuration file, which allows for customization and control of the printer's behavior. To interact with Klipper, the user needs an interface.
An algorithm generating a mesh is typically controlled by the above three and other parameters. Some types of computer analysis of a constructed design require an adaptive mesh refinement, which is a mesh made finer (using stronger parameters) in regions where the analysis needs more detail. [1] [2]
Adaptive mesh refinement (AMR) changes the spacing of grid points, to change how accurately the solution is known in that region. In the shallow water example, the grid might in general be spaced every few feet—but it could be adaptively refined to have grid points every few inches in places where there are large waves.
ANT was designed for low-bit-rate and low-power sensor networks, in a manner conceptually similar to (but not compatible with) Bluetooth Low Energy. [3] This is in contrast with normal Bluetooth, which was designed for relatively high-bit-rate applications such as streaming sound for low-power headsets.
Adaptive histogram equalization (AHE) is a computer image processing technique used to improve contrast in images. It differs from ordinary histogram equalization in the respect that the adaptive method computes several histograms, each corresponding to a distinct section of the image, and uses them to redistribute the lightness values of the image.
Since Linux 4.7, TIPC comes with a unique, patent pending, auto-adaptive hierarchical neighbor monitoring algorithm. This Overlapping Ring Monitoring algorithm, in reality a combination of ring monitoring and the Gossip protocol , makes it possible to establish full-mesh clusters of up to 1000 nodes with a failure discovery time of 1.5 seconds ...
SALOME is a multi-platform open source (LGPL-2.1-or-later) scientific computing environment, allowing the realization of industrial studies of physics simulations.. This platform, developed by a partnership between EDF and CEA, sets up an environment for the various stages of a study to be carried out: from the creation of the CAD model and the mesh to the post-processing and visualization of ...
Adaptive scalable texture compression (ASTC) is a lossy block-based texture compression algorithm developed by Jørn Nystad et al. of ARM Ltd. and AMD. [ 1 ] Full details of ASTC were first presented publicly at the High Performance Graphics 2012 conference, in a paper by Olson et al. entitled "Adaptive Scalable Texture Compression".