Patents by Inventor Janardan Misra

Janardan Misra has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11893503
    Abstract: In some examples, machine learning based semantic structural hole identification may include mapping each text element of a plurality of text elements of a corpus into an embedding space that includes embeddings that are represented as vectors. A semantic network may be generated based on semantic relatedness between each pair of vectors. A boundary enclosure of the embedding space may be determined, and points to fill the boundary enclosure may be generated. Based on an analysis of voidness for each point within the boundary enclosure, a set of void points and void regions may be identified. Semantic holes may be identified for each void region, and utilized to determine semantic porosity of the corpus. A performance impact may be determined between utilization of the corpus to generate an application by using the text elements without filling the semantic holes and the text elements with the semantic holes filled.
    Type: Grant
    Filed: October 7, 2019
    Date of Patent: February 6, 2024
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan Misra, Sanjay Podder
  • Publication number: 20240020317
    Abstract: A device may identify unique segments within data objects, of an object corpus stored in a data structure, as elements, and may generate an embedding space based on unique elements and mappings of the data objects to embeddings. The device may estimate semantic proximities among the data objects based on the mappings, and may build a semantic cohesion network among the data objects based on the semantic proximities. The device may identify semantically cohesive data clusters in the semantic cohesion network, and may sort the data objects in the semantically cohesive data clusters. The device may determine, from the semantically cohesive and sorted data clusters, a home data cluster for a new data object, and may store bookkeeping details of the new data object in the data structure based on the new data object being semantically similar to the data object in the home data cluster.
    Type: Application
    Filed: July 12, 2022
    Publication date: January 18, 2024
    Inventors: Janardan MISRA, Naveen Gordhan BALANI
  • Patent number: 11847417
    Abstract: In some examples, data-driven social media analytics application synthesis may include generating, for each social media analytics application of a plurality of social media analytics applications, a corpus, performing term normalization, and generating a normalized corpus. An actor, an action and an object may be generated for each social media analytics application, which may be mapped into an embedding space. A semantic cohesion network may be generated for each social media analytics application, and a pair-wise semantic cohesion may be determined to identify semantically cohesive groups. A new social media analytics application may be synthesized based on the identified semantically cohesive groups.
    Type: Grant
    Filed: March 12, 2021
    Date of Patent: December 19, 2023
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan Misra, Vikrant Kaulgud, Sanjay Podder
  • Patent number: 11789633
    Abstract: In some examples, collaborative learning-based cloud migration implementation may include identifying a migration agent that is to perform an application migration from a first cloud environment to a second cloud environment, and identifying a plurality of additional migration agents. A technical context and a migration flow context may be determined for the migration agent and for the plurality of additional migration agents. Executed allowed and error-response migration actions may be identified for states that are similar to a current state of the application migration, and a similarity between the migration agent and each of the migration agents that executed the allowed and error-response migration actions may be determined. A migration action that is to be performed may be identified based on a maximum relevance associated with the allowed and error-response migration actions. The identified migration action may be executed by the migration agent to perform the application migration.
    Type: Grant
    Filed: May 4, 2022
    Date of Patent: October 17, 2023
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan Misra, Sanjay Mittal, Ravi Kiran Velama
  • Patent number: 11778054
    Abstract: In some examples, migration context and flow graph based migration control may include ascertaining an application that is to be migrated from a physical environment to a cloud environment, and determining a migration issue associated with the migration of the application. Migration context and flow graph based migration control may further include identifying, from a historical issue database, a plurality of historical issues, determining, for the migration issue and the plurality of historical issues, unified proximities, sorting, based on the determined unified proximities, the historical issues, selecting, from the sorted historical issues, a topmost historical issue, and determining, from the topmost historical issue, a resolution associated with the topmost historical issue.
    Type: Grant
    Filed: October 6, 2021
    Date of Patent: October 3, 2023
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan Misra, Sanjay Mittal, Vikrant Kaulgud, Ravi Kiran Velama
  • Publication number: 20230273738
    Abstract: In some examples, collaborative learning-based cloud migration implementation may include identifying a migration agent that is to perform an application migration from a first cloud environment to a second cloud environment, and identifying a plurality of additional migration agents. A technical context and a migration flow context may be determined for the migration agent and for the plurality of additional migration agents. Executed allowed and error-response migration actions may be identified for states that are similar to a current state of the application migration, and a similarity between the migration agent and each of the migration agents that executed the allowed and error-response migration actions may be determined. A migration action that is to be performed may be identified based on a maximum relevance associated with the allowed and error-response migration actions. The identified migration action may be executed by the migration agent to perform the application migration.
    Type: Application
    Filed: May 4, 2022
    Publication date: August 31, 2023
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan MISRA, Sanjay Mittal, Ravi Kiran Velama
  • Publication number: 20230259410
    Abstract: In some examples, collective application portfolio migration control may include determining, for a plurality of applications that are to be clustered for migration to a cloud environment, a coupling coefficient that represents a type of coupling between pairs of applications from the plurality of applications, a proximity coefficient that represents application proximities, and a connectedness coefficient that represents application connections. A combined application relatedness coefficient may be determined based on the coupling coefficient, the proximity coefficient, and the connectedness coefficient. A portfolio graph may be generated based on the combined application relatedness coefficient to generate migration application clusters to duster the plurality of applications. Migration of the plurality of applications to the cloud environment may be controlled based on the migration application clusters.
    Type: Application
    Filed: February 16, 2022
    Publication date: August 17, 2023
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan MISRA, Vikrant KAULGUD, Kapil SINGI, Sanjay MITTAL
  • Patent number: 11714688
    Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for allocating computing resources for a data object. The system obtains a plurality of characteristics of a data object, and estimates, from the obtained characteristics, one or more cumulative sustainability metrics characterizing one or more categories of energy consumption during a life-cycle of the data object. The system further determines, from the cumulative sustainability metrics, allocations of one or more computing resources to the data object to optimize one or more objectives including minimizing a cumulative carbon cost during the life-cycle of the data object.
    Type: Grant
    Filed: November 17, 2022
    Date of Patent: August 1, 2023
    Assignee: Accenture Global Solutions Limited
    Inventors: Janardan Misra, Navveen Gordhan Balani
  • Patent number: 11630641
    Abstract: In some examples, system behavior profiling-based dynamic competency analysis may include identifying a plurality of software generation entities that have contributed to a module of a system, and generating an index to associate each software generation entity of the plurality of software generation entities. Execution links may be extracted from execution traces of the system, and an execution competency list may be generated. A dynamic competency score may be generated for each software generation entity for the system, and an overall dynamic competency score and a combined competency score may be determined. A software generation entity role may be obtained for a new application, and a software generation entity of the plurality of software generation entities may be identified to perform the software generation entity role. Development of the new application may be implemented using the identified software generation entity.
    Type: Grant
    Filed: January 25, 2021
    Date of Patent: April 18, 2023
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan Misra, Kuntal Dey, Vikrant Kaulgud, Sanjay Podder, Neville Dubash
  • Publication number: 20230109513
    Abstract: In some examples, migration context and flow graph based migration control may include ascertaining an application that is to be migrated from a physical environment to a cloud environment, and determining a migration issue associated with the migration of the application. Migration context and flow graph based migration control may further include identifying, from a historical issue database, a plurality of historical issues, determining, for the migration issue and the plurality of historical issues, unified proximities, sorting, based on the determined unified proximities, the historical issues, selecting, from the sorted historical issues, a topmost historical issue, and determining, from the topmost historical issue, a resolution associated with the topmost historical issue.
    Type: Application
    Filed: October 6, 2021
    Publication date: April 6, 2023
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan MISRA, Sanjay MITTAL, Vikrant KAULGUD, Ravi Kiran VELAMA
  • Publication number: 20220292264
    Abstract: In some examples, data-driven social media analytics application synthesis may include generating, for each social media analytics application of a plurality of social media analytics applications, a corpus, performing term normalization, and generating a normalized corpus. An actor, an action and an object may be generated for each social media analytics application, which may be mapped into an embedding space. A semantic cohesion network may be generated for each social media analytics application, and a pair-wise semantic cohesion may be determined to identify semantically cohesive groups. A new social media analytics application may be synthesized based on the identified semantically cohesive groups.
    Type: Application
    Filed: March 12, 2021
    Publication date: September 15, 2022
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan MISRA, Vikrant KAULGUD, Sanjay PODDER
  • Patent number: 11416556
    Abstract: In some examples, natural language dialogue system perturbation testing may include identifying semantic segments for conversation data for a natural dialogue system. For each semantic segment, a perturbed variant that includes a perturbation may be generated, and forwarded to the natural dialogue system. An updated response to the perturbed variant may be obtained from the natural dialogue system. A semantic similarity may be determined between an original response to a semantic segment and the updated response, and based on the semantic similarity between the original response and the updated response, a perturbability of the natural dialogue system may be determined. A determination may be made as to whether the perturbability of the natural dialogue system is greater than a specified perturbability threshold, and if so, a training corpus that includes a failed response to a perturbed variant may be utilized to train the natural dialogue system.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: August 16, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan Misra, Narendranath Sukhavasi, Sanjay Podder
  • Publication number: 20220236955
    Abstract: In some examples, system behavior profiling-based dynamic competency analysis may include identifying a plurality of software generation entities that have contributed to a module of a system, and generating an index to associate each software generation entity of the plurality of software generation entities. Execution links may be extracted from execution traces of the system, and an execution competency list may be generated. A dynamic competency score may be generated for each software generation entity for the system, and an overall dynamic competency score and a combined competency score may be determined. A software generation entity role may be obtained for a new application, and a software generation entity of the plurality of software generation entities may be identified to perform the software generation entity role. Development of the new application may be implemented using the identified software generation entity.
    Type: Application
    Filed: January 25, 2021
    Publication date: July 28, 2022
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMTED
    Inventors: Janardan MISRA, Kuntal DEY, Vikrant KAULGUD, Sanjay PODDER, Neville DUBASH
  • Patent number: 11361243
    Abstract: A device may identify, for a first analytics application, a first set of characteristics and obtain, for a second analytics application, a second set of characteristics. The device may determine a measure of similarity between the first analytics application and the second analytics application based on the first set of characteristics and the second set of characteristics. The device may also determine a relevance score for a feature of the first analytics application, the relevance score being based on a relevance score associated with a feature of the second analytics application. In addition, the device may determine a relevance score for a machine learning technique associated with the first analytics application, the relevance score being based on a relevance score associated with a machine learning technique associated with the second analytics application. Based on the first relevance score or the second relevance score, the device may perform an action.
    Type: Grant
    Filed: May 17, 2018
    Date of Patent: June 14, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Janardan Misra, Divya Rawat, Shubhashis Sengupta
  • Patent number: 11282014
    Abstract: A device may receive, from a user device, a request for an automation service for a project. The device may analyze the request to identify one or more input keywords. The device may obtain, by using the one or more input keywords to search one or more data sources, project information for a set of projects and/or automation services information for a set of automation services. The device may determine one or more similar projects and/or one or more similar automation services by analyzing the project information and/or the automation services information. The device may provide, to the user device, a recommendation that identifies one or more automation services associated with the one or more similar projects and/or the one or more similar automation services.
    Type: Grant
    Filed: May 18, 2018
    Date of Patent: March 22, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Vikrant S. Kaulgud, Sanjay Podder, Milind Savagaonkar, Vibhu Saujanya Sharma, Janardan Misra, Poulami Debnath, Rohit Mehra
  • Patent number: 11233693
    Abstract: In some examples, learning based incident or defect resolution, and test generation may include ascertaining historical log data that includes incident or defect log data associated with operation of a process, and generating, based on the historical log data, step action graphs. Based on grouping of the step action graphs with respect to different incident and defect tickets, an incident and defect action graph may be generated to further generate a machine learning model. Based on an analysis of the machine learning model with respect to a new incident or defect, an output that includes a sequence of actions may be generated to reproduce, for the new incident, steps that result in the new incident, reproduce, for the new defect, an error that results in the new defect, identify a root cause of the new incident or defect, and/or resolve the new incident or defect.
    Type: Grant
    Filed: July 10, 2020
    Date of Patent: January 25, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan Misra, Divya Rawat, Shubhashis Sengupta
  • Patent number: 11213948
    Abstract: In some examples, temporal variation identification of regulatory compliance based robotic agent control may include ascertaining a temporal sequence of compliance specification text, where the temporal sequence may include time points and versions of the compliance specification text at the time points. For each time point of the temporal sequence of the compliance specification text, a compliance specification graph may be generated. Based on an analysis of each of the generated compliance specification graphs, changes in the temporal sequence of the compliance specification text may be determined. Further, an operation associated with a robotic agent may be controlled by the robotic agent and based on the determined changes in the temporal sequence of the compliance specification text.
    Type: Grant
    Filed: November 9, 2018
    Date of Patent: January 4, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan Misra, Vikrant Kaulgud, Divya Rawat, Kapil Singi, Sanjay Podder
  • Patent number: 11210471
    Abstract: In some examples, machine learning based quantification of performance impact of data irregularities may include generating an irregularity feature vector for each text analytics application of a plurality of text analytics applications. Normalized data associated with a corresponding text analytics application may be generated for each text analytics application and based on minimization of irregularities present in un-normalized data associated with the corresponding text analytics application. An un-normalized data machine learning model may be generated for each text analytics application and based on the un-normalized data associated with the corresponding text analytics application. A normalized data machine learning model may be generated for each text analytics application and based on the normalized data associated with the corresponding text analytics application.
    Type: Grant
    Filed: July 30, 2019
    Date of Patent: December 28, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan Misra, Sanjay Podder, Narendranath Sukhavasi
  • Publication number: 20210334090
    Abstract: In some examples, continuous learning-based application related trade-off resolution and implementation may include generating, based on a plurality of historical tradeoff instances, an application feature matrix. Further, association rules for historical tradeoff instances for which decisions are not known, and a decision tree for historical tradeoff instances for which decisions are known may be generated. Decision rules may be induced, and default rules may be applied to a cold start scenario. The decision rules and the default rules may be refined to generate refined rules, and a confidence level may be determined for the refined rules. The refined rules may be prioritized based on the confidence level and applied to a new tradeoff instance to generate a resolution associated with the new tradeoff instance. The resolution may be implemented with respect to the new tradeoff instance.
    Type: Application
    Filed: April 21, 2021
    Publication date: October 28, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan MISRA, Vikrant KAULGUD, Adam Patten BURDEN, Sanjay PODDER, Narendranath SUKHAVASI, Nibedita SARMAH
  • Publication number: 20210224679
    Abstract: In some implementations, an advisor system may receive a description of a problem to be solved and problem data identifying quantum computing-related and classical computing-related problems. The advisor system may perform natural language processing on the description of the problem and the problem data to respectively generate a problem embedding vector for the problem and to generate embedding vectors that represent the quantum computing-related and classical computing-related problems. The advisor system may process the problem embedding vector and the embedding vectors, with a vector matching model, to determine a semantically closest matching one of the embedding vectors to the problem embedding vector and, accordingly, may generate a recommendation that includes an indication to solve the problem with a classical computing resource, a quantum computing resource, or a combination of a classical computing resource and a quantum computing resource.
    Type: Application
    Filed: November 30, 2020
    Publication date: July 22, 2021
    Inventors: Janardan MISRA, Vikrant S. KAULGUD, Sanjay PODDER, Rupesh KASLAY