The I2C Memory Model is a generic Proteus VSM model designed to model the timing and functionality of I2C memory devices from a wide range of manufacturers.
There is a shared object – int array[] between Write and Read. Write sets the array, Read gets the array and sorts ascending. Write a program to implement the write/read question by using synchronization mechanism and GUI.
Make a graph from database record and either send it to a printer
directly selecting many print options or copy it in any file on disc.
This project also gives you print preview option for A4 size paper and
you can set your graph anywhere on the page.Also if you want to change
graph s height or width you can change.Zooming effect is also given
using hsrollbar.
http://wordnet.princeton.edu/
WordNet is a large lexical database of English, developed under the direction of George A. Miller. Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive synonyms (synsets), each expressing a distinct concept. Synsets are interlinked by means of conceptual-semantic and lexical relations. The resulting network of meaningfully related words and concepts can be navigated with the browser. WordNet is also freely and publicly available for download. WordNet s structure makes it a useful tool for computational linguistics and natural language processing.
The fluid editor is a prototype source code editor supporting a "bring from" exploration model.With the fluid editor programmers can avoid explicit navigation between source documents by incorporating related code into the document under examination
A new PLL topology and a new simplified linear model are presented. The new fractional-N synthesizer presents no reference spurs and lowers the overall phase noise, thanks to the presence of a SampleJHold block. With a new simulation methodology it is possible to perform very accurate simulations, whose results match closely those obtained with the linear PLL model developed.
KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means
algorithm to set the centres of a cluster model. The matrix DATA
represents the data which is being clustered, with each row
corresponding to a vector. The sum of squares error function is used.
The point at which a local minimum is achieved is returned as
CENTRES.
