This program sets up EVA Timer 1, EVA Timer 2, EVB Timer 3 and EVB Timer 4 to fire an interrupt on a period overflow. A count is kept each time each interrupt passes through the interrupt service routine. EVA Timer 1 has the shortest period while EVB Timer4 has the longest period.
This program sets up EVA Timer 1, EVA Timer 2, EVB Timer 3 and EVB Timer 4 to fire an interrupt on a period overflow. A count is kept each time each interrupt passes through the interrupt service routine.
The aip file contains few Matlab routines for 1D line scan analysis, 1D scaling, 2D scaling, image brightness or contrast variation routine and rouitne for finding area between zero cossings of 1D times series.
matlab有限元網(wǎng)格劃分程序
DistMesh is a simple MATLAB code for generation of unstructured triangular and tetrahedral meshes. It was developed by Per-Olof Persson (now at UC Berkeley) and Gilbert Strang in the Department of Mathematics at MIT. A detailed description of the program is provided in our SIAM Review paper, see documentation below.
One reason that the code is short and simple is that the geometries are specified by Signed Distance Functions. These give the shortest distance from any point in space to the boundary of the domain. The sign is negative inside the region and positive outside. A simple example is the unit circle in 2-D, which has the distance function d=r-1, where r is the distance from the origin. For more complicated geometries the distance function can be computed by interpolation between values on a grid, a common representation for level set methods.
For the actual mesh generation, DistMesh uses the Delaunay triangulation routine in MATLAB and tries to optimize the node locations by a force-based smoothing procedure. The topology is regularly updated by Delaunay. The boundary points are only allowed to move tangentially to the boundary by projections using the distance function. This iterative procedure typically results in very well-shaped meshes.
Our aim with this code is simplicity, so that everyone can understand the code and modify it according to their needs. The code is not entirely robust (that is, it might not terminate and return a well-shaped mesh), and it is relatively slow. However, our current research shows that these issues can be resolved in an optimized C++ code, and we believe our simple MATLAB code is important for demonstration of the underlying principles.
To use the code, simply download it from below and run it from MATLAB. For a quick demonstration, type "meshdemo2d" or "meshdemond". For more details see the documentation.
Computes all eigenvalues and eigenvectors of a real symmetric matrix a,
! which is of size n by n, stored in a physical np by np array.
! On output, elements of a above the diagonal are destroyed.
! d returns the eigenvalues of a in its first n elements.
! v is a matrix with the same logical and physical dimensions as a,
! whose columns contain, on output, the normalized eigenvectors of a.
! nrot returns the number of Jacobi rotations that were required.
! Please notice that the eigenvalues are not ordered on output.
! If the sorting is desired, the addintioal routine "eigsrt"
! can be invoked to reorder the output of jacobi.
Lithium–sulfur (Li–S) batteries with high energy density and long cycle life are considered to be one of the most promising next-generation energy-storage systems beyond routine lithium-ion batteries. Various approaches have been proposed to break down technical barriers in Li–S battery systems. The use
of nanostructured metal oxides and sulfides for high sulfur utilization and long life span of Li–S batteries is reviewed here. The relationships between the intrinsic properties of metal oxide/sulfide hosts and electrochemical performances of Li–S batteries are discussed. Nanostructured metal oxides/ sulfides hosts used in solid sulfur cathodes, separators/interlayers, lithium- metal-anode protection, and lithium polysulfides batteries are discussed respectively. Prospects for the future developments of Li–S batteries with nanostructured metal oxides/sulfides are also discussed.
3 Dimensions TV (3DTV) became commercially available in the United States
in 2010 and service in other countries was expected to follow soon thereafter.
3DTV is a subset of a larger discipline known as 3D Video (3DV). There are
now many routine vendor announcements related to 3DTV/3DV, and there are
also conferences wholly dedicated to the topic.
Wireless communication has become increasingly important not only for professional appli-
cations but also for many fields in our daily routine and in consumer electronics. In 1990,
a mobile telephone was still quite expensive, whereas today most teenagers have one, and
they use it not only for calls but also for data transmission. More and more computers use
wireless local area networks (WLANs), and audio and television broadcasting has become
digital.
Much has been written concerning the manner in which healthcare is changing, with
a particular emphasis on how very large quantities of data are now being routinely
collected during the routine care of patients. The use of machine learning meth-
ods to turn these ever-growing quantities of data into interventions that can improve
patient outcomes seems as if it should be an obvious path to take. However, the
field of machine learning in healthcare is still in its infancy. This book, kindly
supported by the Institution of Engineering andTechnology, aims to provide a “snap-
shot” of the state of current research at the interface between machine learning and
healthcare.
