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RAMP Simulation Software for Modelling Reliability, Availability and Maintainability (RAM) is a computer software application developed by WS Atkins specifically for the assessment of the reliability, availability, maintainability and productivity characteristics of complex systems that would otherwise prove too difficult, cost too much or take too long to study analytically.
Salome is a free software tool that provides a generic platform for pre- and post-processing for numerical simulation. Shogun , an open-source large-scale machine-learning toolbox that provides several SVM implementations (like libSVM, SVMlight) under a common framework and interfaces to Octave, MATLAB, Python, R
The models have two basic types - prediction modeling and estimation modeling. 1.0 Overview of Software Reliability Prediction Models. These models are derived from actual historical data from real software projects. The user answers a list of questions which calibrate the historical data to yield a software reliability prediction.
Antenna modeling, especially in Amateur Radio. Widely used as the basis for many GUI-based programs on many platforms. Version 2 is open source, but Versions 3 and 4 are commercially licensed. Momentum: commercial Yes Yes Partial Yes Yes equidistant MoM: For passive planar elements development, integrated into Keysight EEsof Advanced Design System.
Complexity for these models will then be chosen according to the needed performance and the type of application considered. Ability to define this model is part of sensors and IMU manufacturers know-how. Sensors and IMU models are computed in factories through a dedicated calibration sequence using multi-axis turntables and climatic chambers.
This is a list of free and open-source software for geological data handling and interpretation. The list is split into broad categories, depending on the intended use of the software and its scope of functionality. Notice that 'free and open-source' requires that the source code is available and users are given a free software license.
Linear errors-in-variables models were studied first, probably because linear models were so widely used and they are easier than non-linear ones. Unlike standard least squares regression (OLS), extending errors in variables regression (EiV) from the simple to the multivariable case is not straightforward, unless one treats all variables in the same way i.e. assume equal reliability.
RMS 2010 was released in February 2010. RMS 2010 included major improvements across the entire workflow, with a wide-ranging makeover of the well correlation tools, new model building and property modelling tools and improved 3D gridding and better communication with external simulators.