Search Results for "statistical process control"
Sort By:
Showing 11 open source projects for "statistical process control"
View related business solutions-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
1
A simple software to read source file of (.src,.svg)Ovation/WDPF's(Emerson Process Management) Graphics Builder/Control Builder. There are also including some useful Ovation Engineering Tools.
-
2
Control Room
A macOS app to control the Xcode Simulator
Control Room is a macOS application designed to give developers advanced control over Apple’s iOS, tvOS, and watchOS simulators, streamlining the process of testing and debugging apps. Built on top of Apple’s simctl command-line tool, it provides a graphical interface that simplifies complex simulator configurations and actions. Developers can manipulate various aspects of the simulated device environment, including network conditions, battery status, and system settings, without needing to manually execute terminal commands. ... -
3
RTC-simulator
Simulation and Control of Processing Plants
...The simulations include a number of the techniques described in Applied Process Control – Essential Methods, and that book’s accompanying volume, Applied Process Control – Efficient Problem Solving. Actually, RTC is not merely a suite of simulations: Each application can be switched from “MODEL” to “PLANT” mode for real-time control of equipment through a somewhat basic interfacing arrangement. In “MODEL” mode, time can be accelerated or frozen. -
4
ViennaTS
The Vienna Topography Simulator
ViennaTS is a C++, OpenMP-parallelized Topography simulator, focusing on processing challenges for micro- and nanoelectronics. At its core is the Level Set framework, allowing for an implicit surface description of material surfaces and interfaces. Within this framework models for geometry manipulation such as boolean operations and chemical mechanical planarization have been implemented. The tool supports several etching and deposition models, essential for the understanding of... -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
5
Pixel Empires
A cellular automation simulation governed by probability.
This cellular automation simulation uses probability to control the growth and decay of different cells. This simulation uses cells of 6 different colors each of which is initially given one cell to be placed in a random location on the grid. 3 rules govern the evolution of this system: First, each cell will randomly select an empty cell around it or itself. If an empty cell is selected, a new cell will be formed in it. -
6
Exreco
EXperimental REplicator COllider
...If it is all done you can let it run observing what kind of genes prevail over time. The tool typically runs the same world (experiment scenario) over and over again to have a statistical understanding of the various replicator strategies. -
7
PhEq_bootstrap
FDA's f2 computation with bootstrap technique
This program was developed as a help in establishing pharmaceutical equivalence by use of FDA f2 coefficient. It was designed to help with f2 computation in cases when intra- and inter-batch variability is large, namely RSD>10%. The use of statistical bootstrap technique allows to implement confidence interval (CI) into the f2 coefficients resulting in overcoming of their major drawback in the original metrics. The algorithm provides possible “worst case scenario” of f2 values, thus... -
8
SimAssem
For processing and/or simulating species assemblage data.
SimAssem is a tool for investigating the performances of species richness estimators across widely ranging assemblages and survey designs. Assemblages are simulated by specifying the: 1) number of species, 2) total abundance of individuals, 3) abundance distribution, 4) spatial configuration, 5) species detection probabilities, 6) survey design, and 7) number of grid cells to survey (out of a square grid comprised of 10,000 cells). SimAssem also processes existing encounter data and formats... -
9
Autonomous Robot Simulator
Physically-accurate robotics simulator written in Python
...It's main purpose is to help researchers with to develop mobile manipulators and, in general, any multi-body system. It is open-source, modular, easy to learn and use, and can be a valuable tool in the process of robot design, in the development of control and reasoning algorithms, as well as in teaching and educational activities. -
Compliant and Reliable File Transfers Backed by Top Security CertificationsStop relying on non-certified, legacy file transfer tools that creak under the weight of modern security demands. Get full audit trails, advanced access controls and more supported by an award-winning team of experts. Start your free 25-day trial today.
-
10
Differential-algebraic simulator in python. Process and control systems are modelled w/ bloc diagrams. It allows algebraic loops, has an automatic steady-state computation, detects singular systems, and uses variable time-step transient integration.
-
11
Integrated environment for the modelling and simulation of process control systems, where the plant(s) are described according to the Modelica object-oriented paradigm, while the control systems are specified in an IEC 61131.3-compliant language.
- Previous
- You're on page 1
- Next
