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公开(公告)号：US10594569B2
公开(公告)日：2020-03-17
申请号：US16171851
申请日：2018-10-26
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Eric Zavesky , Lee Begeja , David Crawford Gibbon , Raghuraman Gopalan , Zhu Liu , Yadong Mu , Bernard S. Renger , Behzad Shahraray
IPC: H04L12/26 , H04L12/24 , H04L12/851
Abstract: Aspects of the subject disclosure may include, for example, analyzing content flow data in a communication network to obtain flow statistics; the statistics are aggregated to construct a model of the content flow based on the aggregated flow statistics. Operations of network nodes are predicted based on the model; a content delivery path in the communication network is identified. A quality of service is detected for network nodes on the content delivery path. The detected quality of service is compared with a predicted quality of service based on the model; a network anomaly is detected based on the comparing. The content flow on the content delivery path is adjusted responsive to detection of the network anomaly. Other embodiments are disclosed.
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Patent Agency Ranking
公开(公告)号：US10405260B2
公开(公告)日：2019-09-03
申请号：US15135139
申请日：2016-04-21
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Eric Zavesky , Zhu Liu , Lee Begeja , Yadong Mu , David Crawford Gibbon , Bernard S. Renger , Raghuraman Gopalan , Behzad Shahraray
Abstract: Devices, computer-readable media, and methods are disclosed for assigning a service to a vehicle-based mobile node. For example, a processor deployed in a communication network may receive a request for the service from a mobile endpoint device, determine a route of the mobile endpoint device, determine a route of the vehicle-based mobile node, and assign the service to the vehicle-based mobile node when the route of the mobile endpoint device and the route of the vehicle-based mobile node coincide.
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33.发明授权公开(公告)号：US10404549B2
公开(公告)日：2019-09-03
申请号：US15222645
申请日：2016-07-28
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Raghuraman Gopalan , Lee Begeja , David Crawford Gibbon , Zhu Liu , Yadong Mu , Bernard S. Renger , Behzad Shahraray , Eric Zavesky
Abstract: A method, computer-readable medium, and apparatus for modeling data of a plurality of services for providing a new service are disclosed. For example, a method may include a processor for generating a first policy from a first service by a first policy model using machine learning for processing first data of the first service, generating a second policy from a second service by a second policy model using machine learning for processing second data of the second service, wherein the first service and the second service are different, and implementing one or more functions for a new service using the first policy and the second policy.
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公开(公告)号：US20190199827A1
公开(公告)日：2019-06-27
申请号：US16292033
申请日：2019-03-04
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Eric Zavesky , Lee Begeja , David Crawford Gibbon , Raghuraman Gopalan , Zhu Liu , Yadong Mu , Bernard S. Renger , Behzad Shahraray
CPC classification number: H04L67/327 , H04L43/16 , H04L67/125 , H04W4/90
Abstract: A method and apparatus for providing a recommended action are disclosed. For example, the method receives first data that is measured via at least one sensor deployed at a venue, receives second data from at least one user endpoint device present at the venue, wherein the second data comprises data that is measured via a sensor associated with the at least one user endpoint device, applies a perception model of the venue to the first data and the second data that are received, generates at least one recommended action when a threshold is reached, wherein the threshold is established for generating the at least one recommended action, and provides an update to the perception model of the venue based on the at least one recommended action that is generated.
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公开(公告)号：US09916493B2
公开(公告)日：2018-03-13
申请号：US15227151
申请日：2016-08-03
Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.
Inventor： Lee Begeja , Zhu Liu , Yadong Mu , Bernard S. Renger , David Crawford Gibbon , Behzad Shahraray , Raghuraman Gopalan , Eric Zavesky
CPC classification number: G06K9/00221 , G06K9/00288 , G06K9/00684 , G06K9/00711 , G06K9/00771 , G06K2009/00738 , G06T7/20 , G06T2207/20081 , G06T2207/30201 , G11B27/028 , H04N7/181
Abstract: Aspects of the subject disclosure may include, for example, systems and methods aggregating video content and adjusting the aggregate video content according to a training model. The adjusted aggregate video content comprises a first subset of the images and does not comprise a second subset of the images. The first subset of the images is determined by the training model based on a plurality of categories corresponding to a plurality of events. The illustrative embodiments also include presenting the adjusted aggregate video content and receiving identifications for the first subset of the images in the aggregate video content. Further, the illustrative embodiments include adjusting the training model according to the identifications and providing the adjusted training model to a network device. Other embodiments are disclosed.
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公开(公告)号：US09734436B2
公开(公告)日：2017-08-15
申请号：US14732463
申请日：2015-06-05
Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.
CPC classification number: G06K9/66 , G06F17/30256 , G06F17/3028 , G06F17/30598 , G06K9/6217 , G06N3/04 , G06N3/0454
Abstract: A method includes receiving, at a neural network, a subset of images of a plurality of images of a training image set. The method includes training the neural network by iteratively adjusting parameters of the neural network based on concurrent application of multiple loss functions to the subset of images. The multiple loss functions include a classification loss function and a hashing loss function. The classification loss function is associated with an image classification function that extracts image features from an image. The hashing loss function is associated with a hashing function that generates a hash code for the image.
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