MemoryMonitor demonstrates the use of the java.lang.management API
in observing the memory usage of all memory pools consumed by
the application.
This simple demo program queries the memory usage of each memory pool
and plots the memory usage history Graph.
To run the MemoryMonitor demo
java -jar <JDK_HOME>/demo/management/MemoryMonitor.jar
An AHB system is made of masters slaves and interconnections. A general approach to include all possible "muxed" implementation of multi layered AHB systems and arbitrated AHB ones can be thought as an acyclic Graph where every source node is a master, every destination node is a slave and every internal node is an arbiter there must
be one and only one arc exiting a master and one or more entering a slave (single slave verus multi-slave or arbitrated slave) an arbiter can have as many input and output connections as needed. A bridge is a special node that collapses one or more slave nodes and a master node in a new "complex" node.
out< "please input the number of the nodes"<<endl
cin>>nodesNum
cout<<"please input the Graph"<<endl
for( i = 1 i<=nodesNum i++)
for( j = 1 j <= nodesNum j++)
cin>>Graph[i][j] */
All programs were tested using a breadboard containing a DS80C320,
32K Program memory, 32K Data memory, two 8-segment bar Graph
LEDs/drivers, and an 11.0592 MHz crystal. The four 8-segment bar Graph
LEDs/drivers were connected to ports 1, and 3 to display their
pins states.
Intro/: Directory containing introductory examples.
HelloWorld.c A simple program that draws a box and writes "Hello World" in
HelloWorld.f it.
data The data file for the introductory progressive example.
Lines.c Reads the data from file "data" and plots just the curve with
Lines.f no labels, viewport or anything indicating quantity or units.
Viewport.c Restricts the Graph to a viewport and frames the viewport,
Viewport.f leaving the remainder of the area for labels, etc.
CharLbls.c Adds labels for the chart title, X-axis title, and Y-axis
CharLbls.f title.
Tics.c Adds tic marks to the viewport edges, but since clipping was
Tics.f not set correctly, tics extend outside the viewport.
Clip.c Sets clipping such that tic marks are clipped at the viewport
Clip.f boundaries.
TicLabels.c Adds numeric tic labels to the Graph this is the final
TicLabels.f installment of the progressive example.
％％％ Demos for PUMA algorithms ％％％
We present four matlab demos for PUMA. demo1, demo2, demo3, and demo4
illustrate PUMA working with different parameters and with four
different images.
All you need to do is to run each of the demos. Please be sure that
all the files are put on an accessible path for matlab.
Notice that this code is intended for research purposes only.
For further reference see "Phase Unwrapping via Graph Cuts,
IEEE Transactions on Image Processing, 2007
a sample WDM stream class video capture driver that supports two IEEE 1394 digital cameras.
The same driver may be able to support other digital cameras that conform to 1394-based Digital Camera Specification from 1394 Trade Association.
Digital camera supported by dcam.sys is a data source that produces digital image data without any other input connection. It manifests itself in a DirectShow Graph as a WDM Streaming Capture Device and as a capture filter that has output capture stream supporting image sizes of 320x240 with a UYVY color space. Its de-compressor, Msyuv.dll, is part of the OS delivery, and it can convert image data format from UYVY to RGB16, RGB8, or to a Direct Draw surface if the video card supports UYVY format.
We propose a technique that allows a person to design a new photoGraph
with substantially less effort. This paper presents a method that generates a composite image when a user types
in nouns, such as “boat” and “sand.” The artist can optionally design an intended image by specifying other
constraints. Our algorithm formulates the constraints as queries to search an automatically annotated image
database. The desired photoGraph, not a collage, is then synthesized using Graph-cut optimization, optionally
allowing for further user interaction to edit or choose among alternative generated photos. An implementation of
our approach, shown in the associated video, demonstrates our contributions of (1) a method for creating specific
images with minimal human effort, and (2) a combined algorithm for automatically building an image library with
semantic annotations from any photo collection.
