Patents by Inventor Rumi Ghosh
Rumi Ghosh 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: 11275362Abstract: Methods and systems of identifying a time reduction in a manufacturing time associated with a plurality of products. One system includes an electronic processor configured to receive training data. The electronic processor is also configured to determine a first set of testing parameters from the plurality of testing parameters to remove for the assembly line based on the training data and determine a second set of testing parameters to keep by removing the first set of testing parameters from the plurality of testing parameters. The electronic processor is also configured to determine a predictive model to replace the first set of testing parameters based on the training data associated with the second set of testing parameters, and automatically update a testing process for the assembly line to turn off the first set of testing parameters and use the predictive model in place of the first set of testing parameters.Type: GrantFiled: June 6, 2019Date of Patent: March 15, 2022Assignee: Robert Bosch GmbHInventors: Rumi Ghosh, Soundararajan Srinivasan, Ruobing Chen, Shan Kang, Marc Naumann, Mahesh Goud Tandarpally
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Patent number: 11144842Abstract: Methods, systems, and apparatuses for adapting a predictive model for a manufacturing process. One method includes receiving, with an electronic processor, a plurality of data points for a plurality of manufactured parts and the predictive model. The predictive model outputs a label for a manufactured part provided by the manufacturing process indicating whether the manufactured part is accepted or rejected. The method also includes estimating, with the electronic processor, a drift for each of the plurality of data points and generating, with the electronic processor, an adapted version of the predictive model based on the predictive model and the drift for each of the plurality of data points. In addition, the method includes outputting, with the electronic processor, a label for each of the plurality of manufactured parts using the adapted version of the predictive model.Type: GrantFiled: November 8, 2016Date of Patent: October 12, 2021Assignee: Robert Bosch GmbHInventors: Subhro Das, Prasanth Lade, Soundar Srinivasan, Rumi Ghosh
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Patent number: 10990092Abstract: Methods and systems of identifying a time reduction in a manufacturing time associated with a plurality of products. One system includes an electronic processor configured to receive a dataset associated with an assembly line. The dataset includes a classification for each of the plurality of products produced by the assembly line, where the assembly line is associated with a plurality of tests. The electronic processor is also configured to determine a set of test combinations for the assembly line based on the plurality of tests and, for each test combination, determine a number of missing products based on the classification for each of the plurality of products. The electronic processor is also configured to determine at least one test to remove based on the number of missing products for each test combination and output a result including an indication of the at least one test to remove.Type: GrantFiled: June 6, 2019Date of Patent: April 27, 2021Assignee: Robert Bosch GmbHInventors: Rumi Ghosh, Soundararajan Srinivasan, Ruobing Chen, Shan Kang, Marc Naumann, Mahesh Goud Tandarpally
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Patent number: 10962954Abstract: A manufacturing process system comprises any number of assembly stations and test stations, a model unit, and any number of final products is provided. Any of a sample test method and the statistical distribution monitoring method performed by the model unit is configured to monitor the model quality after it is deployed and reduce potential unnecessary costs, such as warranty claim costs as a result of sending bad units to the customers, and rework costs as a result of predicting a good part as bad and wasting additional testing efforts on the bad parts. Further, both methods are configured to maximize the probability of detecting hazardous issues, while having control of the false alarm rate.Type: GrantFiled: August 22, 2017Date of Patent: March 30, 2021Assignee: Robert Bosch GmbHInventors: Ruobing Chen, Shan Kang, Rumi Ghosh, Soundar Srinivasan, Zubin Abraham
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Publication number: 20200387148Abstract: Methods and systems of identifying a time reduction in a manufacturing time associated with a plurality of products. One system includes an electronic processor configured to receive training data. The electronic processor is also configured to determine a first set of testing parameters from the plurality of testing parameters to remove for the assembly line based on the training data and determine a second set of testing parameters to keep by removing the first set of testing parameters from the plurality of testing parameters. The electronic processor is also configured to determine a predictive model to replace the first set of testing parameters based on the training data associated with the second set of testing parameters, and automatically update a testing process for the assembly line to turn off the first set of testing parameters and use the predictive model in place of the first set of testing parameters.Type: ApplicationFiled: June 6, 2019Publication date: December 10, 2020Inventors: Rumi Ghosh, Soundararajan Srinivasan, Ruobing Chen, Shan Kang, Marc Naumann, Mahesh Goud Tandarpally
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Publication number: 20200387152Abstract: Methods and systems of identifying a time reduction in a manufacturing time associated with a plurality of products. One system includes an electronic processor configured to receive a dataset associated with an assembly line. The dataset includes a classification for each of the plurality of products produced by the assembly line, where the assembly line is associated with a plurality of tests. The electronic processor is also configured to determine a set of test combinations for the assembly line based on the plurality of tests and, for each test combination, determine a number of missing products based on the classification for each of the plurality of products. The electronic processor is also configured to determine at least one test to remove based on the number of missing products for each test combination and output a result including an indication of the at least one test to remove.Type: ApplicationFiled: June 6, 2019Publication date: December 10, 2020Inventors: Rumi Ghosh, Soundararajan Srinivasan, Ruobing Chen, Shan Kang, Marc Naumann, Mahesh Goud Tandarpally
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Patent number: 10817800Abstract: Methods, systems, and apparatuses for performing target parameter analysis for an assembly line including a plurality of stations. One method includes receiving, with an electronic processor, training data associated with the assembly line. The training data including a plurality of attributes. The method also includes receiving, with the electronic processor, value addition data for each of the plurality of stations. The value addition data for each of the plurality of stations specifying a non-negative value added by each of the plurality of stations. The method also includes learning, with the electronic processor, a decision tree based on the training data and the value addition data. The method also includes performing the target parameter analysis based on the decision tree.Type: GrantFiled: November 3, 2016Date of Patent: October 27, 2020Assignee: Robert Bosch GmbHInventors: Rumi Ghosh, Charmgil Hong, Soundararajan Srinivasan
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Publication number: 20190227520Abstract: A manufacturing process system comprises any number of assembly stations and test stations, a model unit, and any number of final products is provided. Any of a sample test method and the statistical distribution monitoring method performed by the model unit is configured to monitor the model quality after it is deployed and reduce potential unnecessary costs, such as warranty claim costs as a result of sending bad units to the customers, and rework costs as a result of predicting a good part as bad and wasting additional testing efforts on the bad parts. Further, both methods are configured to maximize the probability of detecting hazardous issues, while having control of the false alarm rate.Type: ApplicationFiled: August 22, 2017Publication date: July 25, 2019Inventors: Ruobing Chen, Shan Kang, Rumi Ghosh, Soundar Srinivasan, Zubin Abraham
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Patent number: 10049380Abstract: In the examples provided herein, a controversy detection system includes a classifier engine to classify each of a plurality of comments about a publication as controversial or non-controversial. The system also includes a controversy detector engine to determine, based on the classification of the plurality of comments, whether the publication is controversial or non-controversial.Type: GrantFiled: September 16, 2014Date of Patent: August 14, 2018Assignee: Hewlett Packard Enterprise Development LPInventors: Sitaram Asur, Rumi Ghosh
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Publication number: 20170206468Abstract: Methods, systems, and apparatuses for performing target parameter analysis for an assembly line including a plurality of stations. One method includes receiving, with an electronic processor, training data associated with the assembly line. The training data including a plurality of attributes. The method also includes receiving, with the electronic processor, value addition data for each of the plurality of stations. The value addition data for each of the plurality of stations specifying a non-negative value added by each of the plurality of stations. The method also includes learning, with the electronic processor, a decision tree based on the training data and the value addition data. The method also includes performing the target parameter analysis based on the decision tree.Type: ApplicationFiled: November 3, 2016Publication date: July 20, 2017Inventors: Rumi Ghosh, Charmgil Hong, Soundararajan Srinivasan
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Publication number: 20170206469Abstract: Methods, systems, and apparatuses for adapting a predictive model for a manufacturing process. One method includes receiving, with an electronic processor, a plurality of data points for a plurality of manufactured parts and the predictive model. The predictive model outputs a label for a manufactured part provided by the manufacturing process indicating whether the manufactured part is accepted or rejected. The method also includes estimating, with the electronic processor, a drift for each of the plurality of data points and generating, with the electronic processor, an adapted version of the predictive model based on the predictive model and the drift for each of the plurality of data points. In addition, the method includes outputting, with the electronic processor, a label for each of the plurality of manufactured parts using the adapted version of the predictive model.Type: ApplicationFiled: November 8, 2016Publication date: July 20, 2017Inventors: Subhro Das, Prasanth Lade, Soundar Srinivasan, Rumi Ghosh
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Publication number: 20160078472Abstract: In the examples provided herein, a controversy detection system includes a classifier engine to classify each of a plurality of comments about a publication as controversial or non-controversial. The system also includes a controversy detector engine to determine, based on the classification of the plurality of comments, whether the publication is controversial or non-controversial.Type: ApplicationFiled: September 16, 2014Publication date: March 17, 2016Inventors: Sitaram Asur, Rumi Ghosh
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Patent number: 9176969Abstract: Examples relate to integrating and extracting topics from content of heterogeneous sources. Observed words are identified in documents, which are received from the heterogeneous sources. Next, document metadata and source metadata are obtained from the heterogeneous sources. The document metadata is used to calculate word topic probabilities for the observed words, and the source metadata is used to calculate source topic probabilities for the observed words. A latent topic is then determined for one of the documents based on the observed words, the word topic probabilities, and the source topic probabilities.Type: GrantFiled: August 29, 2013Date of Patent: November 3, 2015Assignee: Hewlett-Packard Development Company, L.P.Inventors: Sitaram Asur, Rumi Ghosh
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Publication number: 20150066904Abstract: Examples relate to integrating and extracting topics from content of heterogeneous sources. Observed words are identified in documents, which are received from the heterogeneous sources. Next, document metadata and source metadata are obtained from the heterogeneous sources. The document metadata is used to calculate word topic probabilities for the observed words, and the source metadata is used to calculate source topic probabilities for the observed words. A latent topic is then determined for one of the documents based on the observed words, the word topic probabilities, and the source topic probabilities.Type: ApplicationFiled: August 29, 2013Publication date: March 5, 2015Applicant: Hewlett-Packard Development Company, L.P.Inventors: Sitaram Asur, Rumi Ghosh
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Publication number: 20140358930Abstract: A computer system running a program of instructions may classify content of a message. The message may be re-broadcasted in whole or in part by one or more re-broadcasters. An amount of time interval diversity may be determined in the time intervals between each successive pair of re-broadcasted messages. An amount of re-broadcaster diversity may be determined in the number of times the message has been re-broadcasted by each of the re-broadcasters. The content of the message may be classified based on the amount of time interval diversity and the amount of re-broadcaster diversity.Type: ApplicationFiled: May 29, 2013Publication date: December 4, 2014Applicant: UNIVERSITY OF SOUTHERN CALIFORNIAInventors: Kristina Lerner, Rumi Ghosh