Patents by Inventor Arthur Rubin

Arthur Rubin 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: 11556878
    Abstract: Systems and methods are provided for managing organizational or corporate structures, including the employee roles or activities administered by human resources. A portion of the role datasets received within human resource records may be used to generate role tokens comprising unique datasets that have been truncated and deduped. Such tokens may be extracted based on assigned prioritization scores, and further assigned training labels representing categorical levels. Predictive labels may be assigned to a remaining portion of the extracted tokens via a logistic regression classifier, and a model organizational dataset may be generated based on the assigned training labels and the assigned predictive labels. The prediction certainty of the role tokens in the model organizational dataset may be used to map the identified role tokens to the roles represented in the human resource records.
    Type: Grant
    Filed: February 5, 2020
    Date of Patent: January 17, 2023
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Guido Carricato, Alastair Kent McMillan, Roger Mark Ellison, Ritvik Bhawan, Paul Eric Jeruchimowitz, Robert Arthur Rubin, Mithuna Shree Bhatt, Tina Marie Schimmenti
  • Publication number: 20220199081
    Abstract: A system for routing commands issued by a passenger of a vehicle to a Smart Home and/or an Internet of Things (IoT) ecosystem via a connection manager. Issued commands are obtained from utterances using speech recognition and analyzed using natural language understanding and natural language processing. Using the output of the natural understanding analysis, the connection manager determines where to send the command by identifying a target Smart Home and/or IoT ecosystem.
    Type: Application
    Filed: December 17, 2021
    Publication date: June 23, 2022
    Applicant: CERENCE OPERATING COMPANY
    Inventors: Prateek KATHPAL, Brian Arthur RUBIN
  • Publication number: 20220201083
    Abstract: A system for integrating disparate ecosystems including smart home and internet-of-things (IoT) ecosystems. The system including a vehicle assistant that executes within the context of a cloud-based application and that retrieves sensor data and utterances from a vehicle and forwards the sensor data and passenger-spoken utterances to a cloud-based application. Using the sensor data and utterances, the cloud-based application selects and executes a predetermined routine that includes at least one action to be completed in vehicle, on mobile phone or Smart Home/IoT ecosystem. The action is then complete by issuing the command to the vehicle head-unit, specified mobile phone or target ecosystem selected from a group of disparate ecosystems.
    Type: Application
    Filed: December 17, 2021
    Publication date: June 23, 2022
    Applicant: CERENCE OPERATING COMPANY
    Inventors: Prateek KATHPAL, Brian Arthur RUBIN, Holger SCHOLL
  • Publication number: 20210241199
    Abstract: Systems and methods are provided for managing organizational or corporate structures, including the employee roles or activities administered by human resources. A portion of the role datasets received within human resource records may be used to generate role tokens comprising unique datasets that have been truncated and deduped. Such tokens may be extracted based on assigned prioritization scores, and further assigned training labels representing categorical levels. Predictive labels may be assigned to a remaining portion of the extracted tokens via a logistic regression classifier, and a model organizational dataset may be generated based on the assigned training labels and the assigned predictive labels. The prediction certainty of the role tokens in the model organizational dataset may be used to map the identified role tokens to the roles represented in the human resource records.
    Type: Application
    Filed: February 5, 2020
    Publication date: August 5, 2021
    Applicant: Accenture Global Solutions Limited
    Inventors: Guido Carricato, Alastair Kent McMillan, Roger Mark Ellison, Ritvik Bhawan, Paul Eric Jeruchimowitz, Robert Arthur Rubin, Mithuna Shree Bhatt, Tina Marie Schimmenti
  • Publication number: 20210241200
    Abstract: Systems and methods are provided for managing organizational or corporate structures, including the employee roles or activities administered by human resources. A portion of the role datasets received within human resource records may be used to generate role tokens comprising unique datasets that have been truncated and deduped. Such tokens may be extracted based on assigned prioritization scores, and further assigned training labels representing categorical levels. Predictive labels may be assigned to a remaining portion of the extracted tokens via a logistic regression classifier, and a model organizational dataset may be generated based on the assigned training labels and the assigned predictive labels. The prediction certainty of the role tokens in the model organizational dataset may be used to map the identified role tokens to the roles represented in the human resource records.
    Type: Application
    Filed: March 18, 2020
    Publication date: August 5, 2021
    Applicant: Accenture Global Solutions Limited
    Inventors: Guido Carricato, Alastair Kent McMillan, Roger Mark Ellison, Ritvik Bhawan, Paul Eric Jeruchimowitz, Robert Arthur Rubin, Mithuna Shree Bhatt, Tina Marie Schimmenti
  • Patent number: 11080640
    Abstract: Systems and methods are provided for managing organizational or corporate structures, including the employee roles or activities administered by human resources. A portion of the role datasets received within human resource records may be used to generate role tokens comprising unique datasets that have been truncated and deduped. Such tokens may be extracted based on assigned prioritization scores, and further assigned training labels representing categorical levels. Predictive labels may be assigned to a remaining portion of the extracted tokens via a logistic regression classifier, and a model organizational dataset may be generated based on the assigned training labels and the assigned predictive labels. The prediction certainty of the role tokens in the model organizational dataset may be used to map the identified role tokens to the roles represented in the human resource records.
    Type: Grant
    Filed: March 18, 2020
    Date of Patent: August 3, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Guido Carricato, Alastair Kent McMillan, Roger Mark Ellison, Ritvik Bhawan, Paul Eric Jeruchimowitz, Robert Arthur Rubin, Mithuna Shree Bhatt, Tina Marie Schimmenti
  • Publication number: 20050015680
    Abstract: Mechanisms and techniques provide a system to evaluate operational integrity of a data processing system such as an area augmentation system by obtaining at least one set of distribution data related to information processed by the data processing system. The set(s) of distribution data can include corrections information and integrity bounds information related to the corrections information. The system applies a moment generating function to the set of distribution data to produce a moment bounded distribution data result and compares the moment bounded distribution data result to an integrity limit to determine if the data processing system operates within an acceptable integrity threshold. The system can be used in real-time or non-real time with sets of distribution data that are non-Gaussian, non-symmetric and/or non-unimodal.
    Type: Application
    Filed: September 25, 2002
    Publication date: January 20, 2005
    Inventors: Arthur Rubin, Timothy Schempp