Patents by Inventor Krishan Kumar MEGHANI
Krishan Kumar MEGHANI 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: 11948107Abstract: A system for generating task schedules using an electronic device includes: a processor, the processor comprising neural networks; a memory coupled to the processor; a scheduler coupled to the processor, the scheduler is configured to: receive: a total work database configured to contain items representing work packages; a resources database configured to contain items representing resources required to fulfill items in the work packages; a constraints database configured to contain items representing constraints to fulfilling items in the work packages; and a scheduling objective database configured to designate a prime objective that is to be achieved by the optimum task schedule; provide a trained reinforcement learning engine for optimizing the task schedule based on inputs from the databases; and generate an optimum work package schedule to sequence the work packages using the trained reinforcement learning engine, wherein the optimum work package schedule maximizes the one or more prime objectives.Type: GrantFiled: September 24, 2021Date of Patent: April 2, 2024Assignee: Hexagon Technology Center GmbHInventors: Krishan Kumar Meghani, Gona Uday Kumar, Kiran Kumar Bodla, Tanna Rahul Udaya Kiran, Kalyan Madhavaram, Jyotirmoy Verma
-
Patent number: 11704343Abstract: A method of associating data from a plurality of databases is disclosed. The method comprises accessing a first database comprising a first dataset and a second database comprising a second dataset. The method further comprises identifying a first set of expressions and a second set of expressions corresponding to the first dataset and the second dataset, respectively. The method further comprises determining a first set of clusters and a second set of clusters corresponding to the first database and the second database, respectively. Furthermore, the method comprises creating a relational database based on a set of relationships and a mapping function determined based on the first set of clusters and the second set of clusters.Type: GrantFiled: May 19, 2021Date of Patent: July 18, 2023Assignees: HEXAGON TECHNOLOGY CENTER GMBH, HEXAGON CAPABILITY CENTER INDIA PRIVATE LIMITEDInventors: Bernd Reimann, Alexandre Heili, Nicholas Bade, Akshit Budhraja, Krishan Kumar Meghani, Jyotirmoy Verma, Kumara Chandra Singarapu
-
Publication number: 20230095600Abstract: A system for generating task schedules using an electronic device includes: a processor, the processor comprising neural networks; a memory coupled to the processor; a scheduler coupled to the processor, the scheduler is configured to: receive: a total work database configured to contain items representing work packages; a resources database configured to contain items representing resources required to fulfill items in the work packages; a constraints database configured to contain items representing constraints to fulfilling items in the work packages; and a scheduling objective database configured to designate a prime objective that is to be achieved by the optimum task schedule; provide a trained reinforcement learning engine for optimizing the task schedule based on inputs from the databases; and generate an optimum work package schedule to sequence the work packages using the trained reinforcement learning engine, wherein the optimum work package schedule maximizes the one or more prime objectives.Type: ApplicationFiled: September 24, 2021Publication date: March 30, 2023Inventors: Krishan Kumar Meghani, Gona Uday Kumar, Kiran Kumar Bodla, Tanna Rahul Udaya Kiran, Kalyan Madhavaram, Jyotirmoy Verma
-
Publication number: 20230094381Abstract: A system for generating task schedules using an electronic device includes: a processor, the processor comprising neural networks; a memory coupled to the processor; a scheduler coupled to the processor, the scheduler is configured to: receive: a total work database configured to contain items representing work packages; a resources database configured to contain items representing resources required to fulfill items in the work packages; a constraints database configured to contain items representing constraints to fulfilling items in the work packages; and a scheduling objective database configured to designate a prime objective that is to be achieved by the optimum task schedule; provide a trained reinforcement learning engine for optimizing the task schedule based on inputs from the databases; and generate an optimum work package schedule to sequence the work packages using the trained reinforcement learning engine, wherein the optimum work package schedule maximizes the one or more prime objectives.Type: ApplicationFiled: September 24, 2021Publication date: March 30, 2023Inventors: Krishan Kumar Meghani, Gona Uday Kumar, Kiran Kumar Bodla, Tanna Rahul Udaya Kiran, Kalyan Madhavaram
-
Publication number: 20230102494Abstract: A system for generating task schedules using an electronic device includes: a processor, the processor comprising neural networks; a memory coupled to the processor; a scheduler coupled to the processor, the scheduler is configured to: receive: a total work database configured to contain items representing work packages; a resources database configured to contain items representing resources required to fulfill items in the work packages; a constraints database configured to contain items representing constraints to fulfilling items in the work packages; and a scheduling objective database configured to designate a prime objective that is to be achieved by the optimum task schedule; provide a trained reinforcement learning engine for optimizing the task schedule based on inputs from the databases; and generate an optimum work package schedule to sequence the work packages using the trained reinforcement learning engine, wherein the optimum work package schedule maximizes the one or more prime objectives.Type: ApplicationFiled: September 24, 2021Publication date: March 30, 2023Inventors: Krishan Kumar Meghani, Gona Uday Kumar, Kiran Kumar Bodla, Tanna Rahul Udaya Kiran, Kalyan Madhavaram
-
Publication number: 20230096811Abstract: A system for generating task schedules using an electronic device includes: a processor, the processor comprising neural networks; a memory coupled to the processor; a scheduler coupled to the processor, the scheduler is configured to: receive: a total work database configured to contain items representing work packages; a resources database configured to contain items representing resources required to fulfill items in the work packages; a constraints database configured to contain items representing constraints to fulfilling items in the work packages; and a scheduling objective database configured to designate a prime objective that is to be achieved by the optimum task schedule; provide a trained reinforcement learning engine for optimizing the task schedule based on inputs from the databases; and generate an optimum work package schedule to sequence the work packages using the trained reinforcement learning engine, wherein the optimum work package schedule maximizes the one or more prime objectives.Type: ApplicationFiled: September 24, 2021Publication date: March 30, 2023Inventors: Krishan Kumar Meghani, Gona Uday Kumar, Kiran Kumar Bodla, Tanna Rahul Udaya Kiran, Kalyan Madhavaram, Jyotirmoy Verma
-
Publication number: 20230028142Abstract: Systems and methods thereof, of generating a unique identification code for an industrial commodity. The method includes receiving a user query indicative of at least one constructional and operational characteristic of the commodity, inspecting the user query to determine whether the user query is complete for identification of the commodity, updating the user query based on the inspection, identifying at least one attribute of the commodity from the updated user query, based on a list of predefined attributes of the commodity, mapping the at least one attribute to at least one of predefined attribute types, predefined regional standards, predefined commodity rules, and predefined commodity types, and generating the unique identification code for the commodity, based on the mapping. The predefined attribute types may be a predefined commodity group and a predefined commodity part.Type: ApplicationFiled: July 14, 2022Publication date: January 26, 2023Applicant: HEXAGON TECHNOLOGY CENTER GMBHInventors: Bernd REIMANN, Akshit BUDHRAJA, Krishan Kumar MEGHANI, Himanshu MISHRA, Mohammad RAHIL, Sathish Kumar MOGILI, Ankan SENGUPTA, Srinivas MALLEPALLY
-
Publication number: 20210365479Abstract: A method of associating data from a plurality of databases is disclosed. The method comprises accessing a first database comprising a first dataset and a second database comprising a second dataset. The method further comprises identifying a first set of expressions and a second set of expressions corresponding to the first dataset and the second dataset, respectively. The method further comprises determining a first set of clusters and a second set of clusters corresponding to the first database and the second database, respectively. Furthermore, the method comprises creating a relational database based on a set of relationships and a mapping function determined based on the first set of clusters and the second set of clusters.Type: ApplicationFiled: May 19, 2021Publication date: November 25, 2021Applicants: HEXAGON TECHNOLOGY CENTER GMBH, HEXAGON CAPABILITY CENTER INDIA PRIVATE LIMITEDInventors: Bernd REIMANN, Alexandre HEILI, Nicholas BADE, Akshit BUDHRAJA, Krishan Kumar MEGHANI, Jyotirmoy VERMA, Kumara Chandra SINGARAPU