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    • 5. 发明申请
    • Robust uninhabited air vehicle active missions
    • 强大的无人机无人机活动任务
    • US20100256961A1
    • 2010-10-07
    • US11653122
    • 2007-01-12
    • Stephen Francis Bush
    • Stephen Francis Bush
    • G06G7/48
    • G01C23/00B64C2201/141
    • A command sequence for an autonomous UAV mission is optimized by simulating the performance of a mission in a model environment. Using a genetic algorithm, neural net, or other suitable technique this command sequence is then optimized, to improve the outcome of the mission. A factor in selecting an optimal command sequence will be its compressability. A set of one or more optimal command sequences is compiled. Each optimal command sequence is encoded into an algorithmic active packet of minimum size for uploaded to the UAV, which then executes the mission. To track the UAV in its performance of the mission without compromising its location, the active packets are executed in the simulated environment. The simulated environment is continually updated with the most current available information. The simulation results are an approximation of the current state of the UAV.
    • 通过在模型环境中模拟任务的性能来优化自主UAV任务的命令序列。 使用遗传算法,神经网络或其他合适的技术,该命令序列然后被优化,以改善任务的结果。 选择最佳命令序列的一个因素将是其可压缩性。 编译一组一个或多个最优命令序列。 每个最优命令序列被编码成最小尺寸的算法活动分组,以上传到无人机,然后执行任务。 为了在不牺牲其位置的情况下跟踪UAV的性能,活动分组在模拟环境中执行。 模拟环境通过最新的可用信息不断更新。 仿真结果是UAV当前状态的近似值。
    • 6. 发明申请
    • System for boolean network configuration of a wireless network
    • 无线网络的布尔网络配置系统
    • US20070298821A1
    • 2007-12-27
    • US11471898
    • 2006-06-21
    • Stephen Francis Bush
    • Stephen Francis Bush
    • H04B7/00H04Q7/20
    • H04W84/20
    • A system automatically and dynamically forms clusters from a plurality of boolean network nodes of a mobile wireless network. A primary node of the plurality of boolean network nodes detects adjacent nodes of the plurality of boolean network nodes. The primary node randomly selects a boolean state for the primary node. The primary node transmits the boolean state to the adjacent nodes. The primary node receives boolean states from the adjacent nodes. The primary node determines a next boolean state based on inputs from the adjacent nodes. The primary node records the next boolean state incrementally over time. The primary node determines whether the recorded next boolean states defines a cycle comprising all ones or all zeroes. The primary node is a clusterhead node if the recorded next boolean states comprise all ones or all zeroes.
    • 系统自动且动态地从移动无线网络的多个布尔网络节点形成集群。 多个布尔网络节点的主节点检测多个布尔网络节点中的相邻节点。 主节点随机选择主节点的布尔状态。 主节点将布尔状态发送到相邻节点。 主节点从相邻节点接收布尔状态。 主节点根据相邻节点的输入确定下一个布尔状态。 主节点随时间递增地记录下一个布尔状态。 主节点确定记录的下一个布尔状态是否定义包含所有零个或全部零的循环。 如果所记录的下一个布尔状态包括所有1或全部零,则主节点是簇头节点。
    • 8. 发明授权
    • Robust uninhabited air vehicle active missions
    • 强大的无人机无人机活动任务
    • US07194397B1
    • 2007-03-20
    • US09994447
    • 2001-11-27
    • Stephen Francis Bush
    • Stephen Francis Bush
    • G06G7/48
    • G01C23/00B64C2201/141
    • A command sequence for an autonomous UAV mission is optimized by simulating the performance of a mission in a model environment. Using a genetic algorithm, neural net, or other suitable technique this command sequence is then optimized, to improve the outcome of the mission. A factor in selecting an optimal command sequence will be its compressability. A set of one or more optimal command sequences is compiled. Each optimal command sequence is encoded into an algorithmic active packet of minimum size for uploaded to the UAV, which then executes the mission. To track the UAV in its performance of the mission without compromising its location, the active packets are executed in the simulated environment. The simulated environment is continually updated with the most current available information. The simulation results are an approximation of the current state of the UAV.
    • 通过在模型环境中模拟任务的性能来优化自主UAV任务的命令序列。 使用遗传算法,神经网络或其他合适的技术,该命令序列然后被优化,以改善任务的结果。 选择最佳命令序列的一个因素将是其可压缩性。 编译一组一个或多个最优命令序列。 每个最优命令序列被编码成最小尺寸的算法活动分组,以上传到无人机,然后执行任务。 为了在不牺牲其位置的情况下跟踪UAV的性能,活动分组在模拟环境中执行。 模拟环境通过最新的可用信息不断更新。 仿真结果是UAV当前状态的近似值。
    • 10. 发明申请
    • METHOD AND SYSTEM FOR INTRUSION DETECTION IN NETWORKED CONTROL SYSTEMS
    • 网络控制系统中入侵检测的方法与系统
    • US20130176132A1
    • 2013-07-11
    • US13346194
    • 2012-01-09
    • Stephen Francis Bush
    • Stephen Francis Bush
    • G08B21/00
    • H04L63/1416
    • A method and system for detection of intrusion in networked control systems, is provided. The method includes generating an operating model of a system being controlled. The operating model of the system comprises a relationship between a plurality of components in the system defined by a plurality of parameters. Further, the method includes calculating an estimated value of at least one parameter for at least one component in the system. The operating model is used to calculate the estimated value of the at least one parameter. Furthermore, the method includes measuring a latest value of at least one parameter at a predefined interval. The method also includes triggering an alert for intrusion for the at least one component based on an analysis of at least one of the latest value and the estimated value of at least one parameter.
    • 提供了一种用于检测网络控制系统中入侵的方法和系统。 该方法包括生成被控制的系统的操作模型。 系统的操作模型包括由多个参数定义的系统中的多个组件之间的关系。 此外,该方法包括计算系统中至少一个组件的至少一个参数的估计值。 操作模型用于计算至少一个参数的估计值。 此外,该方法包括以预定间隔测量至少一个参数的最新值。 该方法还包括基于对至少一个参数的最新值和估计值中的至少一个的分析来触发针对至少一个组件的入侵的警报。