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1. 发明申请

US20170341314A1 VERIFICATION OF TOW PLACEMENT BY A ROBOT 审中-公开
公开(公告)号：US20170341314A1
公开(公告)日：2017-11-30
申请号：US15167681
申请日：2016-05-27
申请人： The Boeing Company
发明人： Anthony W Baker , Steven A Dorris , Christopher P Bellavia , Hugh L Taylor , Luke C Ingram , Kenny P Bowers
IPC分类号： B29C70/38 , G05B19/409 , B29K105/08 , B29K307/04
CPC分类号： B29C70/382 , B29K2105/08 , B29K2307/04 , G05B19/401 , G05B19/409 , G05B2219/37074 , G05B2219/39059 , G05B2219/45238 , Y10S901/30
摘要： Systems and methods are provided for verifying the placement of tows by a robot. One embodiment includes a robot that includes an end effector that lays up tows, actuators that reposition the end effector, a memory storing a Numerical Control (NC) program, and a robot controller that directs the actuators to reposition the end effector based on the NC program, and instructs the end effector to lay up tows based on the NC program. The system also includes a sensor system comprising an imaging device that acquires images of the tows as the tows are laid-up, a measuring device that generates input as tows are laid-up by the end effector, and a sensor controller that receives images from the imaging device and the input from the measuring device, and updates stored data to correlate the images with instructions in the NC program, based on the input.

2. 发明授权

US10377092B2 Verification of tow placement by a robot 有权
公开(公告)号：US10377092B2
公开(公告)日：2019-08-13
申请号：US16184141
申请日：2018-11-08
申请人： The Boeing Company
发明人： Anthony W Baker , Steven A Dorris , Christopher P Bellavia , Hugh L Taylor , Luke C Ingram , Kenny P Bowers
IPC分类号： B29C70/38 , G05B19/409 , G05B19/401 , B29K105/08 , B29K307/04
摘要： Systems and methods are provided for verifying the placement of tows by a robot. One embodiment includes a robot that includes an end effector that lays up tows, actuators that reposition the end effector, a memory storing a Numerical Control (NC) program, and a robot controller that directs the actuators to reposition the end effector based on the NC program, and instructs the end effector to lay up tows based on the NC program. The system also includes a sensor system comprising an imaging device that acquires images of the tows as the tows are laid-up, a measuring device that generates input as tows are laid-up by the end effector, and a sensor controller that receives images from the imaging device and the input from the measuring device, and updates stored data to correlate the images with instructions in the NC program, based on the input.

3. 发明授权

US10144183B2 Verification of tow placement by a robot 有权
公开(公告)号：US10144183B2
公开(公告)日：2018-12-04
申请号：US15167681
申请日：2016-05-27
申请人： The Boeing Company
发明人： Anthony W Baker , Steven A Dorris , Christopher P Bellavia , Hugh L Taylor , Luke C Ingram , Kenny P Bowers
IPC分类号： B29C70/38 , G05B19/409 , B29K105/08 , B29K307/04
摘要： Systems and methods are provided for verifying the placement of tows by a robot. One embodiment includes a robot that includes an end effector that lays up tows, actuators that reposition the end effector, a memory storing a Numerical Control (NC) program, and a robot controller that directs the actuators to reposition the end effector based on the NC program, and instructs the end effector to lay up tows based on the NC program. The system also includes a sensor system comprising an imaging device that acquires images of the tows as the tows are laid-up, a measuring device that generates input as tows are laid-up by the end effector, and a sensor controller that receives images from the imaging device and the input from the measuring device, and updates stored data to correlate the images with instructions in the NC program, based on the input.

4. 发明授权

US09609004B2 Process level locality and specialization for threat detection in the dendritic cell algorithm 有权
公开(公告)号：US09609004B2
公开(公告)日：2017-03-28
申请号：US14334037
申请日：2014-07-17
申请人： The Boeing Company
发明人： Mark Jonathan Handel , Douglas Alan Stuart , Hugh L Taylor , Steven A. Dorris
IPC分类号： H04L29/06 , G06F21/56
CPC分类号： H04L63/1416 , G06F21/566 , H04L63/1425 , H04L63/145
摘要： Artificial Immune Systems (AIS) including the Dendritic Cell Algorithm (DCA) are an emerging method to detect malware in computer systems. An implementation of the DCA may detect anomalous behavior in various processes of a device or devices. Unlike previous approaches, the DCA implementation may use an inflammation signal to communicate information among the processes of device or a network, where the inflammatory signal indicates a likelihood that a process has been attacked by malicious software.

5. 发明授权

US09596259B2 Method for combining multiple signal values in the dendritic cell algorithm 有权
标题翻译：在树突细胞算法中组合多个信号值的方法
公开(公告)号：US09596259B2
公开(公告)日：2017-03-14
申请号：US14533529
申请日：2014-11-05
申请人： The Boeing Company
发明人： Mark Jonathan Handel , Douglas Alan Stuart , Hugh L Taylor , Steve A. Dorris , Brett Michael Wilson
IPC分类号： G08B23/00 , H04L29/06 , G06F21/56
CPC分类号： H04L63/145 , G06F21/56 , G06F2221/034
摘要： Artificial Immune Systems (AIS) including the Dendritic Cell Algorithm (DCA) are an emerging method to detect malware in computer systems. A DCA module may receive an output or signal from multiple indicators concerning the state of at least a portion of the system. The DCA module is configured to combine the plurality of signals into a single signal vector. The DCA module may be configured to sort the received signals based on signal type and magnitude of each signal. The DCA module may then use a decay factor to weight the received signals so that a large number of “nominal” signals do not drown out a small number of “strong” signals indicating a malware attack. The decay factor may be exponentially increased each time it is applied so that all received signals are considered by the DCA module, but so that the “nominal” signals may have a minimal effect.
摘要翻译：包括树突细胞算法（DCA）在内的人造免疫系统（AIS）是检测计算机系统中恶意软件的新兴方法。 DCA模块可以从关于系统的至少一部分的状态的多个指示器接收输出或信号。 DCA模块被配置为将多个信号组合成单个信号向量。 DCA模块可以被配置为基于每个信号的信号类型和幅度对接收到的信号进行分类。然后，DCA模块可以使用衰减因子对接收的信号进行加权，使得大量的“标称”信号不会淹没少量指示恶意软件攻击的“强”信号。衰减因子可以在每次应用时指数地增加，使得所有接收的信号都被DCA模块考虑，而是使得“标称”信号可能具有最小的影响。

6. 发明授权

US09473525B2 Dynamic loading and configuation of threat detectors based on feedback from other nodes 有权
标题翻译：基于来自其他节点的反馈的威胁探测器的动态加载和配置
公开(公告)号：US09473525B2
公开(公告)日：2016-10-18
申请号：US14502684
申请日：2014-09-30
申请人： The Boeing Company
发明人： Mark Jonathan Handel , Douglas Alan Stuart , Hugh L Taylor , Steven A. Dorris , Brett Michael Wilson
IPC分类号： G06F11/00 , G06F12/14 , G06F12/16 , G08B23/00 , H04L29/06 , H04L29/08 , G06F21/55
CPC分类号： H04L63/1441 , G06F21/55 , G06F21/577 , H04L63/14 , H04L63/1408 , H04L63/1416 , H04L63/1425 , H04L63/145 , H04L67/10 , H04L67/12
摘要： Artificial Immune Systems (AIS) including the Dendritic Cell Algorithm (DCA) are an emerging method to detect malware in computer systems. The DCA implementation may use an inflammation signal to communicate information among the processes of device or a network or among nodes of a network, where the inflammatory signal indicates a likelihood that a process or a node has been attacked by malicious software. The DCA implementation may dynamically change the malware sensitivity and responsiveness based on the inflammation signals without requiring user intervention. The inflammatory signal includes one or more inflammatory tuples, which may include multiple components such as a strength, a PrimeIndicator, and an optional third element, p. The strength component may be an indication of the magnitude of an attack and provide a degree of certainty of the attack. The PrimeIndicator may be an identifier of the indicator type that is the source of the inflammation tuple.
摘要翻译：包括树突细胞算法（DCA）在内的人造免疫系统（AIS）是检测计算机系统中恶意软件的新兴方法。 DCA实现可以使用炎症信号来在设备或网络的过程或网络的节点之间传递信息，其中炎症信号指示过程或节点已被恶意软件攻击的可能性。 DCA实现可以基于炎症信号动态地改变恶意软件的灵敏度和响应性，而不需要用户干预。炎性信号包括一个或多个炎性元组，其可以包括多个成分，例如强度，Prime指标和可选择的第三个元件，p。强度分量可以是攻击强度的指示，并提供攻击的一定程度的确定性。 PrimeIndicator可以是作为炎症元组的来源的指示符类型的标识符。

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