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公开(公告)号:US11966413B2
公开(公告)日:2024-04-23
申请号:US16811806
申请日:2020-03-06
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Enzo Fenoglio , Carlos M. Pignataro , Nagendra Kumar Nainar , David Delano Ward
Abstract: In one embodiment, a first deep fusion reasoning engine (DFRE) agent in a network receives first sensor data from a first set of one or more sensors in the network. The first DFRE agent translates the first sensor data into symbolic data. The first DFRE agent applies, using a symbolic knowledge base maintained by the first DFRE agent, symbolic reasoning to the symbolic data to make an inference regarding the first sensor data. The first DFRE agent updates, based on the inference regarding the first sensor data, the knowledge base. The first DFRE agent propagates the inference to one or more other DFRE agents in the network.
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22.
公开(公告)号:US11693632B2
公开(公告)日:2023-07-04
申请号:US17157027
申请日:2021-01-25
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Ozkan Kilic , Ramana Rao V. R. Kompella , Pallavi Kalapatapu , Gaowen Liu
Abstract: In one embodiment, a device obtains data models and workflow logic for a visual programming environment. The device constructs, based on the data models and workflow logic for the visual programming environment, a metamodel that comprises a knowledge graph. The device makes, using the metamodel, an evaluation of an interaction between a user and the visual programming environment. The device provides, based on the evaluation, visualization data to a user interface of the visual programming environment.
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公开(公告)号:US20230186626A1
公开(公告)日:2023-06-15
申请号:US17551407
申请日:2021-12-15
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Ozkan Kilic , Adam James Lawrence , Gaowen Liu , Andrew Albert Pletcher
CPC classification number: G06V20/41 , G06V10/70 , G06T7/70 , G06T2207/10016
Abstract: In one embodiment, a device converts video data into a set of tracklets, each tracklet representing a different object depicted in the video data. The device identifies a particular object depicted in the video data as being an attractor or repulsor with respect to one or more other objects depicted in the video data, based on an analysis of their respective tracklets. The device makes, using a semantic reasoning engine, an inference about the video data, based in part on the particular object being identified as an attractor or repulsor. The device provides data based on the inference for display.
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公开(公告)号:US20230111581A1
公开(公告)日:2023-04-13
申请号:US17496002
申请日:2021-10-07
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Ozkan KILIC , Adam James LAWRENCE , Gaowen LIU , Ramana Rao V. R. KOMPELLA
Abstract: In one embodiment, a device detects an object in an area based on sensor data generated by a plurality of sensors deployed to that area. The device uses a semantic reasoning engine to determine an appearance type of the object, based on the sensor data. The device uses the semantic reasoning engine to determine a behavioral type of the object, based on the sensor data. The device makes, using the semantic reasoning engine, a determination that the behavioral type of the object does not match the appearance type of the object. The device provides an indication of the determination for display.
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25.
公开(公告)号:US11074710B2
公开(公告)日:2021-07-27
申请号:US16724751
申请日:2019-12-23
Applicant: Cisco Technology, Inc.
Inventor: Huy Phuong Tran , Xu Zhang , Santosh Ghanshyam Pandey , Hugo Latapie , Abhishek Mukherji , Enzo Fenoglio
Abstract: In one embodiment, a service obtains spatial information regarding a physical area. The service estimates locations of a device within the physical area over time, based on wireless signals sent by the device. The service generates a set of images based on the spatial information regarding the physical area and on the estimated locations of the device within the physical area over time. The service updates an estimated location of the device by inputting the generated set of images to a machine learning model trained to minimize a location estimation error.
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公开(公告)号:US20210184915A1
公开(公告)日:2021-06-17
申请号:US17186148
申请日:2021-02-26
Applicant: Cisco Technology, Inc.
Inventor: Enzo Fenoglio , Hugo Latapie , David Delano Ward , Sawsen Rezig , Raphaël Wouters , Didier Colens , Donald Mark Allen , Dmitri Goloubev
Abstract: In one embodiment, a service that monitors a network detects a plurality of anomalies in the network. The service uses data regarding the detected anomalies as input to one or more machine learning models. The service maps, using a conceptual space, outputs of the one or more machine learning models to symbols. The service applies a symbolic reasoning engine to the symbols, to rank the anomalies. The service sends an alert for a particular one of the detected anomalies to a user interface, based on its corresponding rank.
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公开(公告)号:US10464669B2
公开(公告)日:2019-11-05
申请号:US15192896
申请日:2016-06-24
Applicant: Cisco Technology, Inc.
Inventor: Andre Surcouf , Pascal Thubert , Joseph T. Friel , Hugo Latapie
IPC: B64C39/02 , H04B7/0413 , G08G5/04 , H04W84/12
Abstract: A system for collision avoidance includes memory storing instructions which, when executed, cause one or more processors to perform determining a direction of flight of a first drone, causing broadcasting, in the direction of flight based, a beamformed signal of beacon frames, determining a new flight direction of the same first drone, in response to the new flight direction, causing broadcasting of the beacon frames in the new flight direction, detecting second beacon frames from a second drone associated with a direction from which the second beacon frames are arriving; in response, causing the first drone to perform, without input from a pilot, one or more of a change in elevation, heading, speed, or type of operation, directed toward causing the first drone to follow a flight path that is separated from the second drone.
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公开(公告)号:US20190253452A1
公开(公告)日:2019-08-15
申请号:US15896182
申请日:2018-02-14
Applicant: Cisco Technology, Inc.
Inventor: Hugo Latapie , Enzo Fenoglio , Pascal Thubert , Jean-Philippe Vasseur
Abstract: In one embodiment, a device maintains a journal of uncommitted changes to a file system of the device in a layer that is hot-swappable with a writable container layer. The device augments the journal with metadata regarding a particular uncommitted change to the file system of the device. The device applies, within a sandbox environment of the device, a machine learning-based anomaly detector to the particular uncommitted change to the file system and the metadata regarding the change, to determine whether the particular uncommitted change to the file system is indicative of a destruction of service attack on the device. The device causes performance of a mitigation action when the machine learning-based anomaly detector determines that the particular uncommitted change to the file system is indicative of a destruction of service attack on the device.
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29.
公开(公告)号:US10158973B1
公开(公告)日:2018-12-18
申请号:US15662082
申请日:2017-07-27
Applicant: Cisco Technology, Inc.
Inventor: Andre Surcouf , Thierry Gruszka , Hugo Latapie , Ronnie Dan , Enzo Fenoglio
Abstract: Techniques in an information-centric network (ICN) for facilitating the transport of passengers or items are described. In one illustrative example, a first mobile device is configured to operate as a mobile transportation-offering ICN endpoint device. The first mobile device may connect to one of a plurality of fixed-location ICN nodes in the ICN network. The first mobile device may communicate in the ICN network one or more interest packet messages indicating an interest in a passenger or item to transport. The interest in a passenger or item to transport may be indicated in, for example, a Named Data Object (NDO). The one or more interest packet messages may include current transportation route information indicating a current anticipated route of transportation for a current passenger or item. In response, the first mobile device may receive, from a second mobile device configured to operate as a mobile transportation-accepting ICN node, one or more response messages indicating an acceptance of the transport.
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公开(公告)号:US20180234348A1
公开(公告)日:2018-08-16
申请号:US15432385
申请日:2017-02-14
Applicant: Cisco Technology, Inc.
Inventor: Dmitry Goloubew , Gonzalo Salgueiro , Enzo Fenoglio , Hugo Latapie , Andre Surcouf
IPC: H04L12/825 , H04L12/24 , G06N99/00
CPC classification number: G06N20/00 , G06N3/0445 , G06N3/0454 , G06N3/08 , G06N7/005 , H04L41/0631 , H04L41/142 , H04L41/147 , H04L41/16 , H04L43/04 , H04L45/22 , H04L47/122
Abstract: In one embodiment, a device in a network receives control plane packet data indicative of control plane packets for a control plane in the network. The device models the control plane using a machine learning model based on the control plane packet data. The device predicts an instability in the control plane using the machine learning model. The device causes performance of a mitigation action based on the predicted instability in the control plane.
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