The Linux Enterprise Cluster explains how to take a number of inexpensive computers with limited resources, place them on a normal computer network, and install free software so that the computers act together like one powerful server. This makes it possible to build a very inexpensive and reliable business system for a small business or a large corporation. The book includes information on how to build a high-availability server pair using the Heartbeat package, how to use the Linux Virtual Server load balancing software, how to configure a reliable printing system in a Linux cluster environment, and how to build a job scheduling system in Linux with no single point of failure. The book also includes information on high availability techniques that can be used with or without a cluster, making it helpful for System Administrators even if they are not building a cluster. Anyone interested in deploying Linux in an environment where low cost computer reliability is important will find this book useful.
標簽： inexpensive Enterprise computers explains
上傳時間： 2014-11-29
上傳用戶：zhangliming420
This the second tutorial of the Writing Device Drivers series. There seems to be a lot of interest in the topic, so this article will pick up where the first left off. The main focus of these articles will be to build up little by little the knowledge needed to write device drivers. In this article, we will be building on the same example source code used in part one. In this article, we will expand on that code to include Read functionality, Handle Input/Ouput Controls also known as IOCTLs, and learn a bit more about IRPs.
標簽： the interest tutorial Drivers
上傳時間： 2016-01-28
上傳用戶：lmeeworm
TinyLogin is a suite of tiny Unix utilities for handling logging into, being authenticated by, changing one s password for, and otherwise maintaining users and groups on an embedded system. It also provides shadow password support to enhance system security. TinyLogin is, as the name implies, very small, and makes an excellent complement to BusyBox on an embedded System. It can be used without BusyBox, of course, but I envision them being used together most of the time.
標簽： authenticated TinyLogin utilities handling
上傳時間： 2016-01-30
上傳用戶：253189838
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
標簽： meta-learning classifiers combining Boosting
上傳時間： 2016-01-30
上傳用戶：songnanhua
Traveling Salesman Problem (TSP) has been an interesting problem for a long time in classical optimization techniques which are based on linear and nonlinear programming. TSP can be described as follows: Given a number of cities to visit and their distances from all other cities know, an optimal travel route has to be found so that each city is visited one and only once with the least possible distance traveled. This is a simple problem with handful of cities but becomes complicated as the number increases.
標簽： interesting Traveling classical Salesman
上傳時間： 2016-02-06
上傳用戶：rocwangdp
兩種解決方案 Richard just finished building his new house. Now the only thing the house misses is a cute little wooden fence. He had no idea how to make a wooden fence, so he decided to order one. Somehow he got his hands on the ACME Fence Catalogue 2002, the ultimate resource on cute little wooden fences. After reading its preface he already knew, what makes a little wooden fence cute. A wooden fence consists of N wooden planks, placed vertically in a row next to each other. A fence looks cute if and only if the following conditions are met: ?The planks have different lengths, namely 1, 2, . . . , N plank length units. ?Each plank with two neighbors is either larger than each of its neighbors or smaller than each of them. (Note that this makes the top of the fence alternately rise and fall.)
標簽： house the finished building
上傳時間： 2014-01-26
上傳用戶：541657925
Application Note Abstract This Application Note introduces a complete and detailed PSoC® project. Telephone Call Logger keeps the detailed record of approximately 945 phone calls (7-digit number is assumed to be one phone call) including date, start time and the duration of the phone call in the PSoC device. Users can get this detailed report into the PC environment by using free software, which is included in the project file. When records reach near full capacity of the Flash memory, an LED will turn on to show that it is necessary to backup the data. Software gets the data from PSoC, organizes it and prepares a printable version. Additionally, it sends the date and time information to the PSoC. The external parts in this project can be obtained easily in the market.
標簽： Application Note introduces Abstract
上傳時間： 2014-01-01
上傳用戶：集美慧
Computes BER v EbNo curve for convolutional encoding / soft decision Viterbi decoding scheme assuming BPSK. Brute force Monte Carlo approach is unsatisfactory (takes too long) to find the BER curve. The computation uses a quasi-analytic (QA) technique that relies on the estimation (approximate one) of the information-bits Weight Enumerating Function (WEF) using A simulation of the convolutional encoder. Once the WEF is estimated, the analytic formula for the BER is used.
標簽： convolutional Computes encoding decision
上傳時間： 2013-12-24
上傳用戶：咔樂塢
This document is intended to serve as an introduction to Wavelet processing through a set of Matlab experiments. These experiments will gives an overview of three fundamental tasks in signal and image processing : signal, denoising and compression. These scripts are selfs contents (needed additional Matlab functions can be downloaded while reading the lectures). Each one of these five lectures should take between 1h and 2h in order to tests the various features of the scripts. One should copy/paste the provided code into a file names e.g. tp1.m, and launch the script directly from Matlab comand line > tp1 . Some of the scripts contains "holes" that you should try to fill on your own. I also provide the complete correction of these lectures as a set of Matlab scripts, but you should try as much as possible to avoid using them.
標簽： introduction processing document intended
上傳時間： 2016-03-22
上傳用戶：qlpqlq
This Two-Category Classifier Using Discriminant Functions to separeate two classes. The Classifier is designed on classes which has two feature vectors and other case it has one feature vector.
標簽： Classifier Discriminant Two-Category Functions
上傳時間： 2016-04-23
上傳用戶：2525775
