collective processing environment for mobile devices. It is an environment for mobile device to solve their computationally expensively Problem which cannot solved by individual mobile device.
You will recieve a Standard Grade for completion of this
Extra credit will be given for a more creative approach to the Problem, either minimum amount
of code, an additional display of seating beyond just the boarding pass, etc
RSA加密算法源代碼
RSAEURO Version 1.02 Distribution
In this distribution the various files are included in the directories
below.
DOCS - RSAEURO Documentation Directory
DEMO - Demo Applications Directory
SOURCE - Source Code Directory
SCRIPTS - Demo Applications Script Files
INSTALL - Installation Instructions
The documentation is supplied in both Postscript and ASCII formats.
(At the moment due a Problem with Windows Word The main docs are only
availible as Postscript.)
Please report any Problems with the code or documentation to me on
the bug report form. Also any Problems you may have in using the
toolkit. Please read the bug report form for more details.
have recently become very interested in the area of genetic algorithms and Ant Colony Optimization techniques. I was determined to write a complete program demonstrating these two techniques. In particular I wanted to compare the efficiency of these two approaches in the area of finding solutions to the Traveling Salesman Problem
Master the essentials of concurrent programming,including testing and debugging
This textbook examines languages and libraries for multithreaded programming. Readers learn how to create threads in Java and C++, and develop essential concurrent programming and Problem-solving skills. Moreover, the textbook sets itself apart from other comparable works by helping readers to become proficient in key testing and debugging techniques. Among the topics covered, readers are introduced to the relevant aspects of Java, the POSIX Pthreads library, and the Windows Win32 Applications Programming Interface.
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
1. ADABOOST_tr.m
2. ADABOOST_te.m
to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification Problem.
Solves the incompressible Navier-Stokes equations in a rectangular domain with prescribed velocities along the boundary. The standard setup solves a lid driven cavity Problem.
Huffman codes
1.In telecommunication, how do we represent a set of messages, each with an access frequency, by a sequence of 0 s and 1 s?
2.To minimize the transmission and decoding costs, we may use short strings to represent more frequently used messages.
3.This Problem can be solved by using an extended binary tree which is used in the 2-way merging Problem.
the sourse code is
to encode and decode the Huffman.
Client/Server application. This application was written using RMI Java. It resolve "access to critical section " example Problem.
To use this program you should change in *.bat / *.sh files the java path according in your computer
The Kalman filter is an efficient recursive filter that estimates the state of a linear dynamic system from a series of noisy measurements. It is used in a wide range of engineering applications from radar to computer vision, and is an important topic in control theory and control systems engineering. Together with the linear-quadratic regulator (LQR), the Kalman filter solves the linear-quadratic-Gaussian control Problem (LQG). The Kalman filter, the linear-quadratic regulator and the linear-quadratic-Gaussian controller are solutions to what probably are the most fundamental Problems in control theory.
