Patents by Inventor Apoorva Kumar
Apoorva Kumar 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).
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Patent number: 11977407Abstract: In an example, a system is adapted to be coupled to a load device having a load clock. The system includes a clock generation device with a pin. The system also includes a capture circuit coupled to the pin and operable to sample a value at the pin. The system includes a D flip-flop having a data input coupled to the capture circuit, a clock input coupled to a clock, and having an output, where the D flip-flop is operable to provide, at the output, a system reference event (SYSREF) signal to align the load clock to the clock, based at least in part on the value at the pin.Type: GrantFiled: February 28, 2022Date of Patent: May 7, 2024Assignee: Texas Instruments IncorporatedInventors: Apoorva Bhatia, Pranav Kumar, Abhrarup Barman Roy, Peeyoosh Mirajkar, Raghavendra Reddy
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Patent number: 11915228Abstract: A method for ensuring precedence for the processing of a blockchain transaction to prevent loss of cryptographic currency includes receiving a new blockchain transaction by a blockchain node in a blockchain network, confirming the new blockchain transaction including identifying a precedence transaction that was previously conducted and stored in the blockchain that involves both blockchain wallets included in the new blockchain transaction, including the new blockchain transaction in a new block that is generated, and distributing the new block to additional nodes in the blockchain network for confirmation and addition to the blockchain.Type: GrantFiled: June 16, 2022Date of Patent: February 27, 2024Assignee: MASTERCARD INTERNATIONAL INCORPORATEDInventors: Jaipal Singh Kumawat, Shubham Kumar, Apoorva Dixit, Aditya Koduri, Chandan Garg
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Publication number: 20230135380Abstract: The present disclosure relates to systems and methods for scheduling meetings for a business process. The systems and methods may dynamically create and send resource requests for meetings based on meeting criteria for the meeting. The systems and methods may identify available resources for a meeting based on attributes of the available resources matching the meeting criteria. The systems and methods may book a meeting with one or more available resources for the meeting.Type: ApplicationFiled: December 20, 2021Publication date: May 4, 2023Inventors: Apoorva KUMAR, Dinh Hajasambatra DOAN VAN BIEN, Abhishek DUBEY, Leanne CARROLL, Farhaz KARMALI, Roger Norman BATEMAN, Pawel Artur UCHMAN, Thomas Gabriel MEIMARIDES
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Patent number: 11574019Abstract: Techniques are described for integrating prediction capabilities from data management platforms into applications. Implementations employ a data science platform (DSP) that operates in conjunction with a data management solution (e.g., a data hub). The DSP can be used to orchestrate data pipelines using various machine learning (ML) algorithms and/or data preparation functions. The data hub can also provide various orchestration and data pipelining capabilities to receive and handle data from various types of data sources, such as databases, data warehouses, other data storage solutions, internet-of-things (IoT) platforms, social networks, and/or other data sources. In some examples, users such as data engineers and/or others may use the implementations described herein to handle the orchestration of data into a data management platform.Type: GrantFiled: September 18, 2018Date of Patent: February 7, 2023Assignee: Business Objects Software Ltd.Inventors: Apoorva Kumar, Alan McShane
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Patent number: 10831565Abstract: An adapter framework is provided for consuming resources provided by a database service by client applications. A location of an interface of the database service is received. Static metadata of a client application is received from the client application. Mapping of field names defined at the database service to field names defined in the client application is received at the framework. Metadata for a service interface is created at the adapter framework based on the received static metadata and dynamic metadata for dynamic fields from the database service. The mapping of field names is appended with mappings for the dynamic fields. At a runtime processor, a type of a data request from the client to the database service is determined. The request is processed and a response from the database service is generated by the adapter framework and provided to the client application in an expected format.Type: GrantFiled: January 26, 2018Date of Patent: November 10, 2020Assignee: SAP SEInventors: Anubhav Bhatia, Apoorva Kumar
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Publication number: 20200081916Abstract: Techniques are described for integrating prediction capabilities from data management platforms into applications. Implementations employ a data science platform (DSP) that operates in conjunction with a data management solution (e.g., a data hub). The DSP can be used to orchestrate data pipelines using various machine learning (ML) algorithms and/or data preparation functions. The data hub can also provide various orchestration and data pipelining capabilities to receive and handle data from various types of data sources, such as databases, data warehouses, other data storage solutions, internet-of-things (IoT) platforms, social networks, and/or other data sources. In some examples, users such as data engineers and/or others may use the implementations described herein to handle the orchestration of data into a data management platform.Type: ApplicationFiled: December 13, 2018Publication date: March 12, 2020Inventors: Alan McShane, Apoorva Kumar
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Publication number: 20200004891Abstract: Techniques are described for integrating prediction capabilities from data management platforms into applications. Implementations employ a data science platform (DSP) that operates in conjunction with a data management solution (e.g., a data hub). The DSP can be used to orchestrate data pipelines using various machine learning (ML) algorithms and/or data preparation functions. The data hub can also provide various orchestration and data pipelining capabilities to receive and handle data from various types of data sources, such as databases, data warehouses, other data storage solutions, internet-of-things (IoT) platforms, social networks, and/or other data sources. In some examples, users such as data engineers and/or others may use the implementations described herein to handle the orchestration of data into a data management platform.Type: ApplicationFiled: September 18, 2018Publication date: January 2, 2020Inventors: Apoorva Kumar, Alan McShane
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Patent number: 10324908Abstract: Various examples are directed to exposing database artifacts. For example, a rules engine may receive schema data describing a database schema of an in-memory database. The schema data may describe a table, a view, and a procedure. The rules engine may generate a data model comprising a plurality of translation artifacts including a table translation artifact describing a table of the database schema, a view translation artifact describing a view of the database schema, and a procedure translation artifact describing a procedure of the database schema. A mapping service may receive from a client application a first client request comprising first metadata describing the view translation artifact. The mapping service may initiate execution of the view at an in-memory database to determine a view result; and send the view result to the client application.Type: GrantFiled: September 1, 2016Date of Patent: June 18, 2019Assignee: SAP SEInventors: Apoorva Kumar, Suresh Pasumarthi, C Sachin
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Publication number: 20190095257Abstract: An adapter framework is provided for consuming resources provided by a database service by client applications. A location of an interface of the database service is received. Static metadata of a client application is received from the client application. Mapping of field names defined at the database service to field names defined in the client application is received at the framework. Metadata for a service interface is created at the adapter framework based on the received static metadata and dynamic metadata for dynamic fields from the database service. The mapping of field names is appended with mappings for the dynamic fields. At a runtime processor, a type of a data request from the client to the database service is determined. The request is processed and a response from the database service is generated by the adapter framework and provided to the client application in an expected format.Type: ApplicationFiled: January 26, 2018Publication date: March 28, 2019Inventors: Anubhav Bhatia, Apoorva Kumar
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Publication number: 20180060366Abstract: Various examples are directed to exposing database artifacts. For example, a rules engine may receive schema data describing a database schema of an in-memory database. The schema data may describe a table, a view, and a procedure. The rules engine may generate a data model comprising a plurality of translation artifacts including a table translation artifact describing a table of the database schema, a view translation artifact describing a view of the database schema, and a procedure translation artifact describing a procedure of the database schema. A mapping service may receive from a client application a first client request comprising first metadata describing the view translation artifact. The mapping service may initiate execution of the view at an in-memory database to determine a view result; and send the view result to the client application.Type: ApplicationFiled: September 1, 2016Publication date: March 1, 2018Inventors: Apoorva Kumar, Suresh Pasumarthi, C Sachin