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公开(公告)号：US20210334687A1
公开(公告)日：2021-10-28
申请号：US16856501
申请日：2020-04-23
Applicant: Raytheon Company
Inventor： Paul C. Hershey , Michael P. Sica , Danielle J. Marchione , Marilyn W. Zett
Abstract: Discussed herein are devices, systems, and methods for autonomous, dynamic course of action (COA) generation and management. A method can include issuing a communication to one or more assets indicating operations of a first COA to be performed, receiving, by an intelligence, surveillance, and reconnaissance (ISR) device, data indicating an unexpected event, not accounted for in the first COA, has occurred, in response to the data indicating the unexpected event, identifying a second COA or a portion of a second COA that satisfies a mission of the first COA and accounts for the unexpected event, and issuing a second communication to the one or more assets indicating one or more operations of the second COA to be performed.
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公开(公告)号：US20150205760A1
公开(公告)日：2015-07-23
申请号：US14600904
申请日：2015-01-20
Applicant: Raytheon Company
Inventor： Paul C. Hershey , Thomas P. Deardorff , David J. Wisniewski , John J. Williams , Geoffrey Guisewite
CPC classification number: G06N5/04 , G06F17/18 , G06N99/005
Abstract: A method of fusing sensor detection probabilities. The fusing of detection probabilities may allow a first force to detect an imminent threat from a second force, with enough time to counter the threat. The detection probabilities may include accuracy probability of one or more sensors and an available time probability of the one or more sensors. The detection probabilities allow a determination of accuracy of intelligence gathered by each of the sensors. Also, the detection probabilities allow a determination of a probable benefit of an additional platform, sensor, or processing method. The detection probabilities allow a system or mission analyst to quickly decompose a problem space and build a detailed analysis of a scenario under different conditions including technology and environmental factors.
Abstract translation: 一种融合传感器检测概率的方法。 检测概率的融合可能允许第一个力量从第二个力量中检测即将发生的威胁，并有足够的时间来对抗威胁。 检测概率可以包括一个或多个传感器的精度概率和一个或多个传感器的可用时间概率。 检测概率允许确定由每个传感器收集的智能的准确性。 此外，检测概率允许确定附加平台，传感器或处理方法的可能的益处。 检测概率允许系统或任务分析人员在不同的条件下快速分解问题空间并构建对场景的详细分析，包括技术和环境因素。
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公开(公告)号：US20240202534A1
公开(公告)日：2024-06-20
申请号：US18066101
申请日：2022-12-14
Applicant: Raytheon Company
Inventor： Paul C. Hershey , Mu-Cheng Wang , Jennifer N. Coston , Jennifer L. Ryan , Brian D. Scarpiniti , Darin G. Kabalkin , Christopher R. Horner
Abstract: A method includes obtaining, using at least one processing device, chat messages being sent to at least one user. The method also includes applying, using the at least one processing device, at least one machine learning model to (i) correct one or more corruptions or deviations contained in at least one of the chat messages and (ii) prioritize the chat messages. The method further includes initiating, using the at least one processing device, display of the prioritized chat messages to the at least one user in a graphical user interface. The at least one machine learning model may include (i) a first machine learning model trained to correct the one or more corruptions or deviations and (ii) a second machine learning model trained to prioritize the chat messages. The first machine learning model may be trained using supervised learning. The second machine learning model may be trained using reinforcement learning.
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公开(公告)号：US20240146656A1
公开(公告)日：2024-05-02
申请号：US18052040
申请日：2022-11-02
Applicant: Raytheon Company
Inventor： Paul C. Hershey , Mu-Cheng Wang
IPC: H04L47/122 , H04L47/11 , H04L47/32
CPC classification number: H04L47/122 , H04L47/11 , H04L47/32
Abstract: In one aspect, a method includes receiving a packet at a first node from a second node, wherein the first node and the second node are part of a network; determining if congestion exists in a primary route used by the packet; processing a packet drop event to establish a secondary route for the packet in response to determining that the congestion exists in the primary route; and restoring use of the primary route if an expiration time has expired. The expiration time is adjusted by an elapsed period and a congestion condition within the network.
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公开(公告)号：US11741152B2
公开(公告)日：2023-08-29
申请号：US17038983
申请日：2020-09-30
Applicant: Raytheon Company
Inventor： Paul C. Hershey , Mu-Cheng Wang , Michael L. Carroll
IPC: G06F16/532 , G06T11/00 , G06N20/00 , G06V10/764 , G06F16/53 , G06V10/80 , G06V10/82 , G06V20/64 , G06F18/22 , G06F18/21 , G06V10/56 , G06V10/46 , G06V40/10
CPC classification number: G06F16/53 , G06F16/532 , G06N20/00 , G06T11/00 , G06V10/764 , G06V10/809 , G06V10/82 , G06V20/647 , G06F18/2193 , G06F18/22 , G06T2200/24 , G06V10/46 , G06V10/56 , G06V40/10
Abstract: Discussed generally are techniques for managing operation of programs in a sequential order. A method can include receiving a query for an image, the query indicating characteristics of the image, selecting a chain of algorithms configured to identify the image based on the characteristics, operating an algorithm of the selected chain of algorithms that operate in increased fidelity order on an input to produce a first result, operating a ground truth algorithm on the input to generate a second result, comparing the first and second results to determine a probability of correctness (Pc) and confidence interval (CI) for the algorithm, and altering the chain of algorithms based on the determined Pc and CI.
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Patent Agency Ranking
公开(公告)号：US11488047B2
公开(公告)日：2022-11-01
申请号：US16856501
申请日：2020-04-23
Applicant: Raytheon Company
Inventor： Paul C. Hershey , Michael P. Sica , Danielle J. Marchione , Marilyn W. Zett
Abstract: Discussed herein are devices, systems, and methods for autonomous, dynamic course of action (COA) generation and management. A method can include issuing a communication to one or more assets indicating operations of a first COA to be performed, receiving, by an intelligence, surveillance, and reconnaissance (ISR) device, data indicating an unexpected event, not accounted for in the first COA, has occurred, in response to the data indicating the unexpected event, identifying a second COA or a portion of a second COA that satisfies a mission of the first COA and accounts for the unexpected event, and issuing a second communication to the one or more assets indicating one or more operations of the second COA to be performed.
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公开(公告)号：US20190188342A1
公开(公告)日：2019-06-20
申请号：US16224103
申请日：2018-12-18
Applicant: Raytheon Company
Inventor： Paul C. Hershey , Marilyn W. Zett , Michael A. Cianciosi , Brianne R. Hoppes
CPC classification number: G06F17/5009 , G06F17/11 , G06N7/005
Abstract: Generally discussed herein are systems, devices, and methods for mitigating damage caused by a hazard. A method can include identifying at least two effects that, with some probability, at least partially mitigate the hazard, identifying one or more vulnerabilities of the hazard that are the target for an effect of the identified effects, for each hazard, vulnerability pair, identifying a respective hazard model that simulates a state of the hazard in response to the effect, identifying effect models that simulate the respective effects, normalizing each of the identified effect models to a common model and determining a confidence level for each parameter of each normalized model, and simulating combinations of effects by combining normalized models and recording their combined effect on the hazard and a corresponding combined confidence level for the normalized models.
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公开(公告)号：US10068177B2
公开(公告)日：2018-09-04
申请号：US14600904
申请日：2015-01-20
Applicant: Raytheon Company
Inventor： Paul C. Hershey , Thomas P. Deardorff , David J. Wisniewski , John J. Williams , Geoffrey Guisewite
Abstract: A method of fusing sensor detection probabilities. The fusing of detection probabilities may allow a first force to detect an imminent threat from a second force, with enough time to counter the threat. The detection probabilities may include accuracy probability of one or more sensors and an available time probability of the one or more sensors. The detection probabilities allow a determination of accuracy of intelligence gathered by each of the sensors. Also, the detection probabilities allow a determination of a probable benefit of an additional platform, sensor, or processing method. The detection probabilities allow a system or mission analyst to quickly decompose a problem space and build a detailed analysis of a scenario under different conditions including technology and environmental factors.
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公开(公告)号：US09779191B1
公开(公告)日：2017-10-03
申请号：US14185029
申请日：2014-02-20
Applicant: Raytheon Company
Inventor： Paul C. Hershey , Robert E. Dehnert, Jr. , John J. Williams , John N. Carbone , Jeanne M. Robinson , David J. Wisniewski
CPC classification number: G06F17/5036 , F41H11/02 , G06N99/00
Abstract: Embodiments of an apparatus and method for assessing non-kinetic weapon performance for negating missile threats are generally described herein. In some embodiments, vulnerabilities of missile threats and techniques for negating the threats are identified. A probability of negation associated with an effectiveness of each of the techniques against the vulnerabilities is calculated. The calculated probability of negation of each technique against each vulnerability are conditioned at a plurality of times associated with a plurality of asymmetric missile defense (AMD) layer elements to produce temporal level probabilities of negation. Each temporal level probabilities of negation are conditioned based on a probability of validation of deployment and a probability of verification of mitigation to produce a battle damage assessment probability of negation. A terminal phase probability of impact failure without any intervention is calculated by combining the battle damage assessment probability of negation for each of plurality of AMD layers.
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公开(公告)号：US20160378789A1
公开(公告)日：2016-12-29
申请号：US14809352
申请日：2015-07-27
Applicant: Raytheon Company
Inventor： Paul C. Hershey , Michael P. Sica , Jason Dudash , Christopher J. Graham
IPC: G06F17/30
CPC classification number: G06F16/29 , G06F16/5854
Abstract: A global object detection server reduces the amount of time needed to determine whether an object is present in a collection of images for a geographic area. In particular, the disclosed global object detection server selects one or more object recognition algorithms from a collection of algorithms based on one or more characteristics of the object to be detected. The algorithm results may then be fed back to reduce input data sets from iterative collections for similar regions. The global object detection server can also derive stochastic probabilities for object detection accuracy. Thereafter, one or more visualizations may be created that show confidence levels for the object's probable location in the collection of images.
Abstract translation: 全局对象检测服务器减少了确定对象是否存在于地理区域的图像集合中所需的时间量。 具体地，所公开的全球对象检测服务器基于要检测的对象的一个或多个特性从算法集合中选择一个或多个对象识别算法。 然后可以反馈算法结果以减少相似区域的迭代集合的输入数据集。 全局对象检测服务器还可以导出对象检测精度的随机概率。 此后，可以创建一个或多个可视化，其显示对象在图像集合中的可能位置的置信度。
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