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公开(公告)号:US20240095634A1
公开(公告)日:2024-03-21
申请号:US17949011
申请日:2022-09-20
Applicant: International Business Machines Corporation
Inventor: Srini Bhagavan , Prasanna Alur Mathada , Hrishikesh Sujaya Kumar , Thuan D. Ngo
CPC classification number: G06Q10/0635 , G06F11/327
Abstract: An example operation may include one or more of ingesting data records from a plurality of external data sources via a plurality of API calls, generating a plurality of digital footprints for a plurality of users, respectively, which have access to a common finite space, wherein each digital footprint includes a respective health value of a respective user generated based on ingested data records of the user, identifying a user from among the plurality of users which is about to enter the common finite space, in response to identifying the user, determining a cumulative safety value for the common finite space based on the digital footprint of the identified user and a digital footprint of one or more other users already present within the common finite space, and transmitting an alert to a computing system based on the determined cumulative safety value for the common finite space.
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公开(公告)号:US20200293820A1
公开(公告)日:2020-09-17
申请号:US16460286
申请日:2019-07-02
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Prasanna Alur Mathada , Shwetha Gopalakrishna , Sudhakar T. Seshagiri
Abstract: An embodiment of the invention may include a method, computer program product and computer system for object detection and identification. The method, computer program product and computer system may include computing device which may receive an image from a user device. The image may be a screenshot captured by the user device from a display. The computing device may classify the image based on features present in the image and detect a salient object contained within the image. The computing device may identify the object in the image and one or more sources of the object in the image.
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公开(公告)号:US20240169318A1
公开(公告)日:2024-05-23
申请号:US18057357
申请日:2022-11-21
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Thuan D Ngo , Hrishikesh Sujaya Kumar , Srini Bhagavan , Prasanna Alur Mathada
IPC: G06Q10/10 , G06F40/284 , G06F40/30
CPC classification number: G06Q10/103 , G06F40/284 , G06F40/30
Abstract: A method, computer system, and a computer program product for enabling virtual collaboration is provided. The present invention may include receiving a virtual collaboration history. The present invention may include generating a first module, wherein the first module is generated based on an analysis of the virtual collaboration history. The present invention may include receiving a virtual collaboration invite and generating a second module based on the virtual collaboration invite. The present invention may include monitoring a virtual collaboration. The present invention may include generating a word cloud. The present invention may include representing a user in the virtual collaboration using a proxy bot, wherein the proxy bot leverages the word cloud.
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公开(公告)号:US11354534B2
公开(公告)日:2022-06-07
申请号:US16354240
申请日:2019-03-15
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Prasanna Alur Mathada , Shwetha Gopalakrishna , Sudhakar T. Seshagiri
Abstract: An embodiment of the invention may include a method, computer program product and computer system for object detection and identification. The method, computer program product and computer system may include computing device which may receive an image from a user device. The image may be a screenshot captured by the user device from a display. The computing device may classify the image based on features present in the image and detect a salient object contained within the image. The computing device may identify the object in the image and one or more sources of the object in the image.
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公开(公告)号:US20240248918A1
公开(公告)日:2024-07-25
申请号:US18100731
申请日:2023-01-24
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
IPC: G06F16/332 , G06F40/40
CPC classification number: G06F16/3329 , G06F40/40
Abstract: Systems and methods are provided to generate context-based questions from communications data. In embodiments, a method includes: determining, by a processor set, context of text under study obtained from digital communications data; generating, by the processor set, a text-based summary of the text under study using a natural language processing (NLP) tool to eliminate text from the text under study based on keywords of a dynamic knowledge base; constructing, by the processor set, a question phrase in sentence form based statements in the text under study, wherein the one or more statements constitute an answer to the question phrase; outputting, by the processor set, a question and answer set including the question phrase and the statements; and automatically updating, by the processor set, the dynamic knowledge base based on the question and answer set, thereby generating an updated dynamic knowledge base.
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公开(公告)号:US11781878B2
公开(公告)日:2023-10-10
申请号:US17453524
申请日:2021-11-04
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Prasanna Alur Mathada , Srini Bhagavan , Hrishikesh Sujaya Kumar , Thuan D Ngo
CPC classification number: G01C21/3484 , G01C21/3492 , G01C21/3617 , G01C21/3676
Abstract: An embodiment for recommending routes in an enhanced navigation system is provided. The embodiment may include receiving a destination from a primary user. The embodiment may also include obtaining a tentative list of routes. The embodiment may further include identifying each user and characteristics associated with each user. The embodiment may also include analyzing current conditions of the tentative list of routes and the characteristics. The embodiment may further include identifying one or more optimal routes. The embodiment may also include recommending the one or more optimal routes to the primary user. The embodiment may further include in response to determining the primary user selects an optimal route of the one or more optimal routes, presenting the selected optimal route on a navigation display to the primary user.
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公开(公告)号:US20230138025A1
公开(公告)日:2023-05-04
申请号:US17453524
申请日:2021-11-04
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Prasanna Alur Mathada , Srini Bhagavan , Hrishikesh Sujaya Kumar , Thuan D. Ngo
Abstract: An embodiment for recommending routes in an enhanced navigation system is provided. The embodiment may include receiving a destination from a primary user. The embodiment may also include obtaining a tentative list of routes. The embodiment may further include identifying each user and characteristics associated with each user. The embodiment may also include analyzing current conditions of the tentative list of routes and the characteristics. The embodiment may further include identifying one or more optimal routes. The embodiment may also include recommending the one or more optimal routes to the primary user. The embodiment may further include in response to determining the primary user selects an optimal route of the one or more optimal routes, presenting the selected optimal route on a navigation display to the primary user.
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公开(公告)号:US20250094131A1
公开(公告)日:2025-03-20
申请号:US18369685
申请日:2023-09-18
Applicant: International Business Machines Corporation
Inventor: Sudhakar T. Seshagiri , Shwetha Gopalakrishna , Jasbir Jassi , Prasanna Alur Mathada
Abstract: Described are techniques for identifying an optimal AIOps solution for resolving issues. An alert to resolve a software development and/or information technology problem is routed to a secondary responder to handle after a primary responder failed to resolve the alert. Key performance indicators in handling the alert for both the primary and secondary responders may then determined. A determination is then made as to how the secondary responder performed in handling the alert in comparison to the primary responder based on the key performance indicators. The results of such a determination are stored as metadata. Furthermore, the matching portions of the runbooks used by the primary and secondary responders are identified and stored as metadata. The machine learning model is then trained to select the best runbook to be used by the secondary responder to handle future alerts based on the saved metadata and the metadata of the corresponding alerts.
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公开(公告)号:US20240281286A1
公开(公告)日:2024-08-22
申请号:US18170016
申请日:2023-02-16
Applicant: International Business Machines Corporation
Inventor: Charan Acharya Chandrashekar , Shwetha Gopalakrishna , Sudhakar T. Seshagiri , Prasanna Alur Mathada
IPC: G06F9/50
CPC classification number: G06F9/5027
Abstract: Balancing computational loading across UAV-MEC devices by receiving information associated with a data processing task, determining a first computational loading associated with the data processing task relative to a capacity of a first device, sending the first computational loading and a first location to a second device, determining that the second device can support the first computational loading, deploying, the second device to the first location, and completing the first computational task using the first device and the second device.
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公开(公告)号:US11187551B2
公开(公告)日:2021-11-30
申请号:US16814503
申请日:2020-03-10
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Prasanna Alur Mathada , Shwetha Gopalakrishna , Sudhakar T. Seshagiri , Shruthi Ravindra , Michal Kmak
Abstract: Embodiments for generating recommendations for user activity onboard a vehicle are provided. A first user and a second user onboard a vehicle are identified. A relationship between the first user and the second user is determined based on at least one information source associated with at least one of the first user and the second user. A traffic condition associated with the vehicle traveling to a destination is detected. A recommendation of an joint activity for the first user and the second user while onboard the vehicle is generated based on the determined relationship between the first user and the second user, the detected traffic condition, and the at least one information source.
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