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公开(公告)号：US20220104029A1
公开(公告)日：2022-03-31
申请号：US17545210
申请日：2021-12-08
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Arun Jotshi , Amit Rathod , Gaurav Thakur , Suchitra Krishnaswamy , Shang Li , Kathleen Meier-Hellstern , Manish Shah , Martin Suchara
Abstract: Aspects of the disclosure include determining that a first instance of a first object is present in a first image in accordance with an execution of a first image processing algorithm, generating a first bounding region that at least partially surrounds the first instance of the first object in the first image, determining that the first instance of the first object in the first image has a first attribute in accordance with an execution of a second image processing algorithm, wherein the second image processing algorithm is operative on the first image in accordance with the first bounding region, and selecting the first instance of the first object and/or a second instance of the first object to receive a deployment of a network resource in accordance with the determining that the first instance of the first object in the first image has the first attribute. Other aspects are disclosed.
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公开(公告)号：US11228501B2
公开(公告)日：2022-01-18
申请号：US16437057
申请日：2019-06-11
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Arun Jotshi , Kathleen Meier-Hellstern , Gaurav Thakur , Shang Li , Velin Kounev
Abstract: Aspects of the subject disclosure may include, for example, identifying a first object included in at least one image in accordance with an execution of an image processing algorithm, analyzing a plurality of parameters in accordance with at least one model responsive to the identifying of the first object included in the at least one image, wherein each parameter of the plurality of parameters is associated with the first object or a second object, selecting one of the first object or the second object for receiving at least one communication network resource responsive to the analyzing of the plurality of parameters, wherein the selecting results in a selected object, and presenting the selected object on a presentation device. Other embodiments are disclosed.
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公开(公告)号：US20200382965A1
公开(公告)日：2020-12-03
申请号：US16893479
申请日：2020-06-05
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Arun Jotshi , Amit Rathod , Gaurav Thakur , Suchitra Krishnaswamy , Shang Li , Kathleen Meier-Hellstern , Manish Shah , Martin Suchara
Abstract: Aspects of the disclosure include determining that a first instance of a first object is present in a first image in accordance with an execution of a first image processing algorithm, generating a first bounding region that at least partially surrounds the first instance of the first object in the first image, determining that the first instance of the first object in the first image has a first attribute in accordance with an execution of a second image processing algorithm, wherein the second image processing algorithm is operative on the first image in accordance with the first bounding region, and selecting the first instance of the first object and/or a second instance of the first object to receive a deployment of a network resource in accordance with the determining that the first instance of the first object in the first image has the first attribute. Other aspects are disclosed.
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4.发明申请公开(公告)号：US20200313788A1
公开(公告)日：2020-10-01
申请号：US16902197
申请日：2020-06-15
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Martin Birk , David Frederick Lynch , Gaurav Thakur , Simon Tse
IPC: H04J14/02 , H04L12/751 , H04B10/079
Abstract: Devices, computer-readable media and methods are disclosed for selecting paths in reconfigurable optical add/drop multiplexer (ROADM) networks using machine learning. In one example, a method includes defining a feature set for a proposed path through a wavelength division multiplexing network, wherein the proposed path traverses at least one link in the network, and wherein the at least one link connects a pair of reconfigurable optical add/drop multiplexers, predicting an optical performance of the proposed path, wherein the predicting employs a machine learning model that takes the feature set as an input and outputs a metric that quantifies predicted optical performance, and determining whether to deploy a new wavelength on the proposed path based on the predicted optical performance of the proposed path.
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公开(公告)号：US11303565B2
公开(公告)日：2022-04-12
申请号：US17068786
申请日：2020-10-12
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Gagan Choudhury , Gaurav Thakur , Simon Tse , Kathleen Meier-Hellstern
Abstract: A processing system including at least one processor may obtain traffic measurements for end-to-end paths in a telecommunication network, calculate traffic estimates for the end-to-end paths in future time periods based on the traffic measurements in accordance with at least one machine learning model, calculate traffic estimates for primary paths in the telecommunication network based upon the traffic estimates for the end-to-end paths, compute a backup path configuration for a primary path of the telecommunication network for the future time periods based upon the traffic estimates for the primary paths in the future time periods, detect a change in the backup path configuration for the primary path in a future time period based upon the computing, and adjust a backup path in accordance with the backup path configuration when the change in the backup path configuration is detected.
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Patent Agency Ranking
公开(公告)号：US20210274356A1
公开(公告)日：2021-09-02
申请号：US17194542
申请日：2021-03-08
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Danielle Liu , Arun Jotshi , Gaurav Thakur , Velin Kounev , Fei Wu , Yaron Kanza , Divith Aruni Babu
Abstract: Concepts and technologies are disclosed herein for creating and using network coverage models. A request for a predicted coverage model that represents a first signal propagation in a first portion of a network that covers a first area associated with a first geographic location can be received. An aerial image that depicts the first area can be obtained. The aerial image can be provided to an existing coverage model. The existing coverage model can include a neural network, and the existing coverage model can be based on a second signal propagation in a second portion of the network that covers a second area associated with a second location. The predicted coverage model for the first area can be obtained from the existing coverage model.
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公开(公告)号：US11038616B2
公开(公告)日：2021-06-15
申请号：US16902197
申请日：2020-06-15
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Martin Birk , David Frederick Lynch , Gaurav Thakur , Simon Tse
IPC: H04B10/00 , H04J14/02 , H04L12/751 , H04B10/079 , H04J14/00
Abstract: Devices, computer-readable media and methods are disclosed for selecting paths in reconfigurable optical add/drop multiplexer (ROADM) networks using machine learning. In one example, a method includes defining a feature set for a proposed path through a wavelength division multiplexing network, wherein the proposed path traverses at least one link in the network, and wherein the at least one link connects a pair of reconfigurable optical add/drop multiplexers, predicting an optical performance of the proposed path, wherein the predicting employs a machine learning model that takes the feature set as an input and outputs a metric that quantifies predicted optical performance, and determining whether to deploy a new wavelength on the proposed path based on the predicted optical performance of the proposed path.
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公开(公告)号：US10686544B2
公开(公告)日：2020-06-16
申请号：US16135844
申请日：2018-09-19
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Martin Birk , David Frederick Lynch , Gaurav Thakur , Simon Tse
IPC: H04J14/00 , H04J14/02 , H04L12/751 , H04B10/079 , H04B10/00
Abstract: Devices, computer-readable media and methods are disclosed for selecting paths in reconfigurable optical add/drop multiplexer (ROADM) networks using machine learning. In one example, a method includes defining a feature set for a proposed path through a wavelength division multiplexing network, wherein the proposed path traverses at least one link in the network, and wherein the at least one link connects a pair of reconfigurable optical add/drop multiplexers, predicting an optical performance of the proposed path, wherein the predicting employs a machine learning model that takes the feature set as an input and outputs a metric that quantifies predicted optical performance, and determining whether to deploy a new wavelength on the proposed path based on the predicted optical performance of the proposed path.
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公开(公告)号：US11316607B2
公开(公告)日：2022-04-26
申请号：US17347383
申请日：2021-06-14
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Martin Birk , David Frederick Lynch , Gaurav Thakur , Simon Tse
IPC: H04B10/00 , H04J14/02 , H04L45/00 , H04B10/079 , H04J14/00
Abstract: Devices, computer-readable media and methods are disclosed for selecting paths in reconfigurable optical add/drop multiplexer (ROADM) networks using machine learning. In one example, a method includes defining a feature set for a proposed path through a wavelength division multiplexing network, wherein the proposed path traverses at least one link in the network, and wherein the at least one link connects a pair of reconfigurable optical add/drop multiplexers, predicting an optical performance of the proposed path, wherein the predicting employs a machine learning model that takes the feature set as an input and outputs a metric that quantifies predicted optical performance, and determining whether to deploy a new wavelength on the proposed path based on the predicted optical performance of the proposed path.
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公开(公告)号：US20220094604A1
公开(公告)日：2022-03-24
申请号：US17543788
申请日：2021-12-07
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Arun Jotshi , Kathleen Meier-Hellstern , Gaurav Thakur , Shang Li , Velin Kounev
Abstract: Aspects of the subject disclosure may include, for example, identifying a first object included in at least one image in accordance with an execution of an image processing algorithm, analyzing a plurality of parameters in accordance with at least one model responsive to the identifying of the first object included in the at least one image, wherein each parameter of the plurality of parameters is associated with the first object or a second object, selecting one of the first object or the second object for receiving at least one communication network resource responsive to the analyzing of the plurality of parameters, wherein the selecting results in a selected object, and presenting the selected object on a presentation device. Other embodiments are disclosed.
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