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).

  • Patent number: 11275362
    Abstract: 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: Grant
    Filed: June 6, 2019
    Date of Patent: March 15, 2022
    Assignee: Robert Bosch GmbH
    Inventors: Rumi Ghosh, Soundararajan Srinivasan, Ruobing Chen, Shan Kang, Marc Naumann, Mahesh Goud Tandarpally
  • Patent number: 11144842
    Abstract: 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: Grant
    Filed: November 8, 2016
    Date of Patent: October 12, 2021
    Assignee: Robert Bosch GmbH
    Inventors: Subhro Das, Prasanth Lade, Soundar Srinivasan, Rumi Ghosh
  • Patent number: 10990092
    Abstract: 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: Grant
    Filed: June 6, 2019
    Date of Patent: April 27, 2021
    Assignee: Robert Bosch GmbH
    Inventors: Rumi Ghosh, Soundararajan Srinivasan, Ruobing Chen, Shan Kang, Marc Naumann, Mahesh Goud Tandarpally
  • Patent number: 10962954
    Abstract: 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: Grant
    Filed: August 22, 2017
    Date of Patent: March 30, 2021
    Assignee: Robert Bosch GmbH
    Inventors: Ruobing Chen, Shan Kang, Rumi Ghosh, Soundar Srinivasan, Zubin Abraham
  • Publication number: 20200387148
    Abstract: 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: Application
    Filed: June 6, 2019
    Publication date: December 10, 2020
    Inventors: Rumi Ghosh, Soundararajan Srinivasan, Ruobing Chen, Shan Kang, Marc Naumann, Mahesh Goud Tandarpally
  • Publication number: 20200387152
    Abstract: 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: Application
    Filed: June 6, 2019
    Publication date: December 10, 2020
    Inventors: Rumi Ghosh, Soundararajan Srinivasan, Ruobing Chen, Shan Kang, Marc Naumann, Mahesh Goud Tandarpally
  • Patent number: 10817800
    Abstract: 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: Grant
    Filed: November 3, 2016
    Date of Patent: October 27, 2020
    Assignee: Robert Bosch GmbH
    Inventors: Rumi Ghosh, Charmgil Hong, Soundararajan Srinivasan
  • Publication number: 20190227520
    Abstract: 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: Application
    Filed: August 22, 2017
    Publication date: July 25, 2019
    Inventors: Ruobing Chen, Shan Kang, Rumi Ghosh, Soundar Srinivasan, Zubin Abraham
  • Patent number: 10049380
    Abstract: 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: Grant
    Filed: September 16, 2014
    Date of Patent: August 14, 2018
    Assignee: Hewlett Packard Enterprise Development LP
    Inventors: Sitaram Asur, Rumi Ghosh
  • Publication number: 20170206468
    Abstract: 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: Application
    Filed: November 3, 2016
    Publication date: July 20, 2017
    Inventors: Rumi Ghosh, Charmgil Hong, Soundararajan Srinivasan
  • Publication number: 20170206469
    Abstract: 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: Application
    Filed: November 8, 2016
    Publication date: July 20, 2017
    Inventors: Subhro Das, Prasanth Lade, Soundar Srinivasan, Rumi Ghosh
  • Publication number: 20160078472
    Abstract: 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: Application
    Filed: September 16, 2014
    Publication date: March 17, 2016
    Inventors: Sitaram Asur, Rumi Ghosh
  • Patent number: 9176969
    Abstract: 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: Grant
    Filed: August 29, 2013
    Date of Patent: November 3, 2015
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Sitaram Asur, Rumi Ghosh
  • Publication number: 20150066904
    Abstract: 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: Application
    Filed: August 29, 2013
    Publication date: March 5, 2015
    Applicant: Hewlett-Packard Development Company, L.P.
    Inventors: Sitaram Asur, Rumi Ghosh
  • Publication number: 20140358930
    Abstract: 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: Application
    Filed: May 29, 2013
    Publication date: December 4, 2014
    Applicant: UNIVERSITY OF SOUTHERN CALIFORNIA
    Inventors: Kristina Lerner, Rumi Ghosh