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Data-Sheet

  • 1.數(shù)據(jù)庫安裝 (1)將實(shí)例目錄“database”文件夾下擴(kuò)展名為“.MDF”和“.LDF”的兩個(gè)文件拷貝到SQL Server 2000安裝路徑下的“MSSQL”/“Data”目錄下。 (

    1.數(shù)據(jù)庫安裝 (1)將實(shí)例目錄“database”文件夾下擴(kuò)展名為“.MDF”和“.LDF”的兩個(gè)文件拷貝到SQL Server 2000安裝路徑下的“MSSQL”/“Data”目錄下。 (2)打開SQL Server 2000中的“企業(yè)管理器”,然后展開本地服務(wù)器,在“數(shù)據(jù)庫”數(shù)據(jù)項(xiàng)上單擊鼠標(biāo)右鍵,在彈出的快捷菜單中選擇“所有任務(wù)”/“附加數(shù)據(jù)庫”菜單項(xiàng)。 (3)在彈出的“附加數(shù)據(jù)庫”對(duì)話框中選擇剛拷貝過去的數(shù)據(jù)庫文件(.MDF文件),單擊【確定】按鈕,即可完成數(shù)據(jù)庫的附加操作。 2.在使用ADO技術(shù)時(shí),需要導(dǎo)入一個(gè)ADO動(dòng)態(tài)鏈接庫msado15.dll,該動(dòng)態(tài)庫位于系統(tǒng)盤下的“Program Files\Common Files\System\ado\”目錄下。 例:如果您的系統(tǒng)盤為C盤,則該文件位于“C:\Program Files\Common Files\System\ado”目錄。

    標(biāo)簽: database Server MSSQL 2000

    上傳時(shí)間: 2014-12-03

    上傳用戶:愛死愛死

  • IDEA v2.2 IDEA encryption for dos. IDEA stands for International Data Encryption Algorithm it

    IDEA v2.2 IDEA encryption for dos. IDEA stands for International Data Encryption Algorithm it was invented by Xuejia Lai and James Massey in Switzerland its a private key block algorithm, and is thought to be very secure.

    標(biāo)簽: IDEA International Encryption encryption

    上傳時(shí)間: 2013-12-18

    上傳用戶:gxf2016

  • The result is an IS-95CDMA forward link software simulation package ,which mimics real-time data com

    The result is an IS-95CDMA forward link software simulation package ,which mimics real-time data communication from a basestation to a cellular unit. The package simulates an IS-95CDMA forward link cellular system consisting of 3 major components:Transmitter, Communication Channel and Receiver.

    標(biāo)簽: simulation real-time software forward

    上傳時(shí)間: 2016-03-14

    上傳用戶:大融融rr

  • C# EXECl的讀取方法,SHEET名的讀取,SHEET名選擇,一覽數(shù)據(jù)的變更表示

    C# EXECl的讀取方法,SHEET名的讀取,SHEET名選擇,一覽數(shù)據(jù)的變更表示

    標(biāo)簽: SHEET EXECl 讀取 數(shù)據(jù)

    上傳時(shí)間: 2016-03-14

    上傳用戶:陽光少年2016

  • This project aim was to build wireless software modem for data communication between two computers

    This project aim was to build wireless software modem for data communication between two computers using an acoustic interface in the voice frequency range (20Hz– 20,000Hz). The transmitting antenna is a speaker (frequency response of: 90Hz – 20,000Hz) and the receiving antenna is a microphone (frequency response of: 100Hz – 16,000Hz). The test files used as information files were text files. This goal was attained both in an incoherent scheme and in a coherent scheme. Build under Matlab code, our modem uses OFDM (orthogonal frequency division multiplexing) modulation, synchronization by LMS sequence, channel estimation (no equalizer) via pilot tones. The symbols are either PSK or ASK for a constellation size of 2 or 4. To optimize the probability of error, these symbols were mapped using Gray mapping. Report

    標(biāo)簽: communication computers software wireless

    上傳時(shí)間: 2014-05-29

    上傳用戶:wangdean1101

  • The PCI Local bus concept was developed to break the PC data I/O bottleneck and clearly opens the d

    The PCI Local bus concept was developed to break the PC data I/O bottleneck and clearly opens the door to increasing system speed and expansion capabilities. The PCI Local bus moves high speed peripherals from the I/O bus and places them closer to the system’s processor bus, providing faster data transfers between the processor and peripherals. The PCI Local bus also addresses the industry’s need for a bus standard which is not directly dependent on the speed, size and type of system processor. It represents the first microprocessor independent bus offering performance more than adequate for the most demanding applications such as full-motion video.

    標(biāo)簽: bottleneck developed the concept

    上傳時(shí)間: 2014-12-03

    上傳用戶:ikemada

  • The PCI Local bus concept was developed to break the PC data I/O bottleneck and clearly opens the d

    The PCI Local bus concept was developed to break the PC data I/O bottleneck and clearly opens the door to increasing system speed and expansion capabilities. The PCI Local bus moves high speed peripherals from the I/O bus and places them closer to the system’s processor bus, providing faster data transfers between the processor and peripherals. The PCI Local bus also addresses the industry’s need for a bus standard which is not directly dependent on the speed, size and type of system processor. It represents the first microprocessor independent bus offering performance more than adequate for the most demanding applications such as full-motion video. Hardware reference

    標(biāo)簽: bottleneck developed the concept

    上傳時(shí)間: 2016-03-18

    上傳用戶:極客

  • The PCI Local bus concept was developed to break the PC data I/O bottleneck and clearly opens the d

    The PCI Local bus concept was developed to break the PC data I/O bottleneck and clearly opens the door to increasing system speed and expansion capabilities. The PCI Local bus moves high speed peripherals from the I/O bus and places them closer to the system’s processor bus, providing faster data transfers between the processor and peripherals. The PCI Local bus also addresses the industry’s need for a bus standard which is not directly dependent on the speed, size and type of system processor. It represents the first microprocessor independent bus offering performance more than adequate for the most demanding applications such as full-motion video. User Manual

    標(biāo)簽: bottleneck developed the concept

    上傳時(shí)間: 2014-01-15

    上傳用戶:努力努力再努力

  • The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab functions. Its propose is

    The Fuzzy Clustering and Data Analysis Toolbox is a collection of Matlab functions. Its propose is to divide a given data set into subsets (called clusters), hard and fuzzy partitioning mean, that these transitions between the subsets are crisp or gradual.

    標(biāo)簽: Clustering collection functions Analysis

    上傳時(shí)間: 2016-03-19

    上傳用戶:1427796291

  • Data mining (DM) is the extraction of hidden predictive information from large databases (DBs). Wit

    Data mining (DM) is the extraction of hidden predictive information from large databases (DBs). With the automatic discovery of knowledge implicit within DBs, DM uses sophisticated statistical analysis and modeling techniques to uncover patterns and relationships hidden in organizational DBs. Over the last 40 years, the tools and techniques to process structured information have continued to evolve from DBs to data warehousing (DW) to DM. DW applications have become business-critical. DM can extract even more value out of these huge repositories of information.

    標(biāo)簽: information extraction predictive databases

    上傳時(shí)間: 2016-03-19

    上傳用戶:啊颯颯大師的

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