=== === === === === === === === === 項(xiàng)目：圖書(shū)管理系統(tǒng)V2.0 作者：覃武權(quán) 主頁(yè)：http://cpucool.512j.com 郵箱：cooltoend@126.com 最后更新：2004-12-09 =================================================== */ [功能簡(jiǎn)介] 一、用戶功能 1、查看個(gè)人基本資料 2、查看借書(shū)狀況 3、修改密碼 4、查看館藏圖書(shū) 5、圖書(shū)查詢 6、收發(fā)短消息 二、管理員功能 1、新書(shū)入庫(kù) 2、修改圖書(shū) 3、刪除圖書(shū) 4、用戶還書(shū) 5、圖書(shū)分類(lèi)管理 6、添加會(huì)員 7、刪除會(huì)員 8、鎖定會(huì)員 9、系統(tǒng)配置 10、查看系統(tǒng)事情 三、系統(tǒng)功能 1、用戶驗(yàn)證 2、權(quán)限分離 3、事件記錄 [說(shuō)明] 這個(gè)系統(tǒng)技術(shù)含量不是很高，只是涉及到Access的基本操作：SELECT、Insert、Update、Delete 系統(tǒng)可以免費(fèi)傳播、拷貝、使用。在使用的過(guò)程中遇到任何問(wèn)題，請(qǐng)與作者聯(lián)系 登陸系統(tǒng)可以用測(cè)試帳號(hào)： 卡號(hào)：8 密碼：qq 類(lèi)型：普通用戶 以普通用戶的身份登陸系統(tǒng)，或以管理員身份登陸 用戶：admin 密碼：admin 類(lèi)型：管理員
標(biāo)簽： cooltoend cpucool http 2.0
上傳時(shí)間： 2014-01-22
上傳用戶：Altman
SQL數(shù)據(jù)庫(kù)工具就是一種即可以進(jìn)行數(shù)據(jù)瀏覽、添加、刪除和修改等數(shù)據(jù)庫(kù)管理操作，又可以數(shù)據(jù)庫(kù)的備份和還原操作，還可以自動(dòng)地根據(jù)需要產(chǎn)生各種SQL語(yǔ)句（包括了SELECT、UPDATE、DELETE、INSERT等SQL語(yǔ)句）的數(shù)據(jù)庫(kù)工具，將為數(shù)據(jù)庫(kù)管理員和數(shù)據(jù)庫(kù)軟件開(kāi)發(fā)人員提供極大的方便。
標(biāo)簽： SQL 數(shù)據(jù)庫(kù) 數(shù)據(jù) 刪除
上傳時(shí)間： 2014-01-17
上傳用戶：zxc23456789
3、使用如下命令更改密碼： shell> mysqladmin -u root -p password ‘newpass’ Enter Password:******* 出現(xiàn)Enter Password的提示后輸入原來(lái)的密碼oldpass即可。 讀者可以嘗試其它所有本章介紹的方法。 4、首先以root用戶的身份連接到服務(wù)器： shell> mysql -u root -p Enter password:******* 出現(xiàn)Enter password提后輸入root用戶的密碼，然后即進(jìn)入mysql客戶機(jī)的交互模式，可以看到下面的提示： Welcome to the MySQL monitor. Commands end with or \g. Your MySQL connection id is 4 to server version: 3.23.25-beta-log Type help or \h for help. Type \c to clear the buffer mysql> 然后發(fā)布查詢，直接鍵入題目中的語(yǔ)句： mysql> SELECT User,Host FROM mysql.user
標(biāo)簽： Enter mysqladmin Password password
上傳時(shí)間： 2016-03-17
上傳用戶：talenthn
On-Line MCMC Bayesian Model SELECTion This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model SELECTion in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model SELECTion Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can SELECT to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標(biāo)簽： demonstrates sequential SELECTion Bayesian
上傳時(shí)間： 2016-04-07
上傳用戶：lindor
Atheros無(wú)線芯片AR-6000系列wince 6驅(qū)動(dòng)源代碼(這東西我也沒(méi)用過(guò)別問(wèn)我,我是搜別的wince資源搜到的) AR6K SDIO support. Requires firmware 1.1 on SD13 cards. readme: Atheros Communications AR6001 WLAN Driver for SDIO installation Read Me March 26,2007 (based on k14 fw1.1) Windows CE Embedded CE 6.0 driver installation. 1. Unzip the installation file onto your system (called installation directory below) 2. Create an OS design or open an existing OS design in Platform Builder 6.0. a. The OS must support the SD bus driver and have an SD Host Controller driver (add these from Catalog Items). b. Run image size should be set to allow greater than 32MB. 3. a. From the Project menu SELECT Add Existing Subproject... b. SELECT AR6K_DRV.pbxml c. SELECT open This should create a subproject within your OS Design project for the AR6K_DRV driver. 4. Build the solution. 轉(zhuǎn)自Tony嵌入式,原文地址：http://www.cevx.com/bbs/dispbbs.asp?boardID=4&ID=11762&page=1
標(biāo)簽： wince Requires firmware Atheros
上傳時(shí)間： 2014-11-11
上傳用戶：bibirnovis
Without this, the debugger spontaneously fails! 1 - Install mdk315b 2 - Replace the files: \Keil\ARM\BIN\ARM.DLL with one from mdk305a\Keil\ARM\BIN\ARM.DLL \Keil\ARM\BIN31\ARM.DLL with one from mdk305a\Keil\ARM\BIN30\ARM.DLL \Keil\UV3\UV3.DLL with one from mdk305a\Keil\UV3\UV3.DLL (*) 3 - Use KeyGen (Ver3p4 works) SELECT ARM, With computer ID code , External CID code and RealView MDK (or RealView RL) Note: Must replace DLLs before entry of serial (*) - May not be necessary (???)
標(biāo)簽： spontaneously the debugger Without
上傳時(shí)間： 2016-04-13
上傳用戶：小寶愛(ài)考拉
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model SELECTion in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model SELECTion Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can SELECT to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標(biāo)簽： sequential reversible algorithm nstrates
上傳時(shí)間： 2014-01-18
上傳用戶：康郎
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can SELECT to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標(biāo)簽： reversible algorithm the nstrates
上傳時(shí)間： 2014-01-08
上傳用戶：cuibaigao
用c語(yǔ)言編寫(xiě)的matlab遺傳算法程序，包含：SELECT,crossover,mutator等。非常適合初學(xué)者學(xué)習(xí)，程序比較清晰，而且不是很復(fù)雜。
標(biāo)簽： matlab c語(yǔ)言 編寫(xiě) 算法
上傳時(shí)間： 2016-04-23
上傳用戶：qlpqlq
Sqlserver2000壓力測(cè)試 數(shù)據(jù)庫(kù)請(qǐng)自己建，附腳本。不懂的可以發(fā)郵件問(wèn)我：killwolf@163.com 10萬(wàn) 109640ms 插入 23078ms 清空 20萬(wàn) 216281ms 8391馬上 40萬(wàn)： 416781 9381 if exists (SELECT * from dbo.sysobjects where id = object_id(N [dbo].[StuInfo] ) and OBJECTPROPERTY(id, N IsUserTable ) = 1) drop table [dbo].[StuInfo] GO CREATE TABLE [dbo].[StuInfo] ( [StuID] [float] NULL ) ON [PRIMARY] GO
標(biāo)簽： Sqlserver 2000 壓力 測(cè)試
上傳時(shí)間： 2016-05-08
上傳用戶：lht618
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