Search results
Results from the WOW.Com Content Network
They continue to be used in the majority of high strain deployable structure applications and excel where the greatest compaction ratios and electrical conductivity are required. But metals suffer from having high densities, high coefficients of thermal expansion , and lower strain capacities when compared to composite materials.
Fig. 1. HSL (a–d) and HSV (e–h). Above (a, e): cut-away 3D models of each. Below: two-dimensional plots showing two of a model's three parameters at once, holding the other constant: cylindrical shells (b, f) of constant saturation, in this case the outside surface of each cylinder; horizontal cross-sections (c, g) of constant HSL lightness or HSV value, in this case the slices halfway ...
For premium support please call: 800-290-4726 more ways to reach us
Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a data set. MDS is used to translate distances between each pair of n {\textstyle n} objects in a set into a configuration of n {\textstyle n} points mapped into an abstract Cartesian space .
HSC Sim is a process simulator based on the HSC Chemistry software and databases. It has been implemented as a module to HSC Chemistry 6.0 published in June 2006 and can be used primarily for static process simulation. HSC stands for H ([enthalpy]), S ([entropy]) and Cp([heat capacity]).
Feature scaling is a method used to normalize the range of independent variables or features of data. In data processing , it is also known as data normalization and is generally performed during the data preprocessing step.
Vertical scaling, also known as scaling up, is the process of replacing a component with a device that is generally more powerful or improved. For example, replacing a processor with a faster one. Horizontal scaling, also known as scaling out is setting up another server for example to run in parallel with the original so they share the workload.
In the simplest cases, normalization of ratings means adjusting values measured on different scales to a notionally common scale, often prior to averaging. In more complicated cases, normalization may refer to more sophisticated adjustments where the intention is to bring the entire probability distributions of adjusted values into alignment.