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multi-target

  • fwknop stands for "Firewall Knock Operator" and is an upcoming piece of software that will be releas

    fwknop stands for "Firewall Knock Operator" and is an upcoming piece of software that will be released at the DEFCON 12 conference in July, 2004 in Las Vegas. fwknop implements network access controls (via iptables) based on a flexible port knocking mini-language, but with a twist it combines port knocking and passive operating system fingerprinting to make it possible to do things like only allow, say, Linux-2.4/2.6 systems to connect to your SSH daemon. fwknop supports shared, multi-protocol port knock sequences along with both relative and absolute timeouts, and coded port knock sequences encrypted with the Rijndael block cipher.

    標簽: Firewall Operator software upcoming

    上傳時間: 2016-12-04

    上傳用戶:牛津鞋

  • This document accompanies a sample co-installer that can be used in conjunction with an INF file to

    This document accompanies a sample co-installer that can be used in conjunction with an INF file to install additional device INF files on the target system during a device installation. The instructions herein apply to the Microsoft Windows 2000 and Windows XP and Windows Server 2003 operating systems. The sample co-installer described in this article interprets CopyINF directives in a [DDInstall] section in an INF file. The sample demonstrates using a co-installer to perform processing after a device has been installed, parsing the INF section that is being used for the installation, and the use of the SetupCopyOEMInf, SetupGetInfInformation, SetupQueryInfOriginalFileInformation and SetupDiGetActualSectionToInstall APIs.

    標簽: co-installer accompanies conjunction document

    上傳時間: 2014-02-28

    上傳用戶:gououo

  • 多機器人路徑規(guī)劃算法

    多機器人路徑規(guī)劃算法,The RVO Library provides an easy-to-use implementation of the Reciprocal Velocity Obstacle (RVO) framework for multi-agent simulation.

    標簽: 多機器人 路徑規(guī)劃 算法

    上傳時間: 2014-01-25

    上傳用戶:busterman

  • neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object o

    neural network utility is a Neural Networks library for the C++ Programmer. It is entirely object oriented and focuses on reducing tedious and confusing problems of programming neural networks. By this I mean that network layers are easily defined. An entire multi-layer network can be created in a few lines, and trained with two functions. Layers can be connected to one another easily and painlessly.

    標簽: Programmer Networks entirely network

    上傳時間: 2013-12-24

    上傳用戶:liuchee

  • 文件及文件夾說明 ==========================================================================================

    文件及文件夾說明 =============================================================================================== \arm\ uC/OS-II移植代碼 \SOURCE\ uC/OS-II源碼保存在該文件夾 \HostMassLib\ HostMassLib驅動庫相關文件存放的文件夾 \HostMassLib\讀寫U盤模塊驅動使用手冊.pdf 驅動庫使用手冊 \UDiskDemo\ 讀寫U盤驅動演示工程保存的文件夾 \UDiskDemo\queue UART0驅動使用到的隊列文件 \UDiskDemo\uart0 UART0驅動源文件 \UDiskDemo\HostMassLib HostMassLib驅動庫相關文件存放的文件夾 \UDiskDemo\src\ 工程模板創(chuàng)建文件 \UDiskDemo\src\main.c 工程主文件,main函數(shù)及各任務在該文件中創(chuàng)建及初始化 \UDiskDemo\src\OS_CFG.H uC/OS-II配置文件 \UDiskDemo\src\config.h 本工程配置文件 \UDiskDemo\src\target.c 目標文件,目標系統(tǒng)初始化在該文件中處理 \UDiskDemo\src\Startup.s LPC2200起動文件 \UDiskDemo\src\IRQ.s 中斷句柄設置文件

    標簽:

    上傳時間: 2017-01-03

    上傳用戶:chenlong

  • MPC8260-MCC-HOWTO Abstract: This document attempts to give the linux developer community of motoro

    MPC8260-MCC-HOWTO Abstract: This document attempts to give the linux developer community of motorola(R) s mpc8260 processor a fairly good idea of programming details of Multi Channel controller. This document can be distributed under GPL version 2.0 or later, GPL is available at (http://www.gnu.org/copyleft/gpl.html)

    標簽: MCC-HOWTO developer community Abstract

    上傳時間: 2017-01-11

    上傳用戶:silenthink

  • CAN1.c and CAN2.c are a simple example of configuring a CAN network to transmit and receive data o

    CAN1.c and CAN2.c are a simple example of configuring a CAN network to transmit and receive data on a CAN network, and how to move information to and from CAN RAM message objects. Each C8051F040-TB CAN node is configured to send a message when it s P3.7 button is depressed/released, with a 0x11 to indicate the button is pushed, and 0x00 when released. Each node also has a message object configured to receive messages. The C8051 tests the received data and will turn on/off the target board s LED. When one target is loaded with CAN2.c and the other is loaded with CAN1.c, one target board s push-button will control the other target board s LED, establishing a simple control link via the CAN bus and can be observed directly on the target boards.

    標簽: CAN configuring and transmit

    上傳時間: 2013-12-11

    上傳用戶:weiwolkt

  • This paper studies the problem of tracking a ballistic object in the reentry phase by processing ra

    This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and

    標簽: processing ballistic the tracking

    上傳時間: 2014-10-31

    上傳用戶:yyyyyyyyyy

  • This paper studies the problem of tracking a ballistic object in the reentry phase by processing ra

    This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and

    標簽: processing ballistic the tracking

    上傳時間: 2014-01-14

    上傳用戶:奇奇奔奔

  • This paper studies the problem of tracking a ballistic object in the reentry phase by processing ra

    This paper studies the problem of tracking a ballistic object in the reentry phase by processing radar measurements. A suitable (highly nonlinear) model of target motion is developed and the theoretical Cramer—Rao lower bounds (CRLB) of estimation error are derived. The estimation performance (error mean and

    標簽: processing ballistic the tracking

    上傳時間: 2013-12-22

    上傳用戶:asddsd

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