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Klipper is an open source firmware for 3D printers that distributes the workload between a general-purpose computer (such as a Raspberry Pi [1]) and one or more underlying microcontrollers on the 3D printer. [2] [3] The separation claims to allow for more advanced control compared to traditional firmware that runs solely on the printer's ...
J. J. Garcia-Luna-Aceves is a Mexican-American computer engineer, currently professor at the University of Toronto's Department of Electrical and Computer Engineering. . Until 2023, he was the distinguished professor of computer science and engineering at University of California at Santa Cruz UCSC, holding the Jack Baskin Endowed Chair of Computer Engineering, is CITRIS dampus director for ...
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.
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]
Tuning a control loop is the adjustment of its control parameters (proportional band/gain, integral gain/reset, derivative gain/rate) to the optimum values for the desired control response. Stability (no unbounded oscillation) is a basic requirement, but beyond that, different systems have different behavior, different applications have ...
In order to program and control the flow of information in the Internet of things, a predicted architectural direction is being called BPM Everywhere which is a blending of traditional process management with process mining and special capabilities to automate the control of large numbers of coordinated devices.
Sensors are useful devices that collect information related to a specific parameter, such as noise, temperature, humidity, pressure, etc. Sensors are increasingly connected via wireless to allow large-scale collection of sensor data. With a large sample of sensor data, analytics processing can be used to make sense out of these data.
A sensor array is a group of sensors, usually deployed in a certain geometry pattern, used for collecting and processing electromagnetic or acoustic signals. The advantage of using a sensor array over using a single sensor lies in the fact that an array adds new dimensions to the observation, helping to estimate more parameters and improve the estimation performance.