Patents by Inventor Daniel G. Bobrow

Daniel G. Bobrow 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).

  • Publication number: 20180322173
    Abstract: A computer-implemented system and method for performing trend analysis is provided. Event objects for events are stored in a database. A trigger for notifying a beginning of an event is received and an event object representing the event is generated. An event class is associated with a set of parameters and is assigned to the event object. A set of activity data for the event object is created. A time period for trend analysis and previous time periods are defined. Trends among the event objects during the trend analysis time period and among the event objects for the previous time periods are defined. The trends of the event objects of the trend analysis period are compared with the trends of the event objects for the previous time periods and significant trend changes between the compared trends are identified. A trend object is generated for each significant trend change.
    Type: Application
    Filed: July 16, 2018
    Publication date: November 8, 2018
    Inventors: Mark J. Stefik, Daniel G. Bobrow, Hoda Eldardiry, Robert T. Krivacic, Pai Liu, Sureyya Tarkan, Ed Wu
  • Publication number: 20180322172
    Abstract: A computer-implemented system and method for planning recurring events is provided. Event objects for events are stored in a database. A trigger notifying the beginning of an event is received and an event object representing the event is generated in response to the trigger. An event class is associated with a set of parameters and is assigned to the event object. A set of activity data is created for the event object and each activity data includes structured and unstructured data describing an event activity occurred during the event. At least one event object is retrieved from the database as a model and the parameter values of the model event object are displayed. At least one of the parameter values of the model event object is modified and the modification is reflected against other parameter values of the model event object that are dependent on the modified parameter value.
    Type: Application
    Filed: July 16, 2018
    Publication date: November 8, 2018
    Inventors: Mark J. Stefik, Daniel G. Bobrow, Hoda Eldardiry, Robert T. Krivacic, Pai Liu, Sureyya Tarkan, Ed Wu
  • Patent number: 10025829
    Abstract: A computer-implemented method for analyzing organizational performance from episodic data is provided. Event objects for events is maintained in a database. A trigger for notifying beginning of an event is received. An event object is generated in response to the trigger. Activity data is created for the event object and each of the activity data includes notes of a subjective nature having received and messages of an objective nature. Each of the activity data is associated with event tags. Each of the event objects is classified in an event class and the event class includes a pattern of parameters. Analytics of the event objects is performed based on the event tags and the event class. Filters received from a reviewer is defined for search. A list of the analytics of the event objects which pattern of parameters matches with the filters is displayed on a display.
    Type: Grant
    Filed: December 19, 2014
    Date of Patent: July 17, 2018
    Assignee: Conduent Business Services, LLC
    Inventors: Mark J. Stefik, Daniel G. Bobrow, Hoda Eldardiry, Robert T. Krivacic, Pai Liu, Sureyya Tarkan, Edward Wu
  • Publication number: 20180113854
    Abstract: Embodiments of the present invention provide a system for automatically extracting conversational structure from a voice record based on lexical and acoustic features. The system also aggregates business-relevant statistics and entities from a collection of spoken conversations. The system may infer a coarse-level conversational structure based on fine-level activities identified from extracted acoustic features. The system improves significantly over previous systems by extracting structure based on lexical and acoustic features. This enables extracting conversational structure on a larger scale and finer level of detail than previous systems, and can feed an analytics and business intelligence platform, e.g. for customer service phone calls. During operation, the system obtains a voice record. The system then extracts a lexical feature using automatic speech recognition (ASR). The system extracts an acoustic feature.
    Type: Application
    Filed: October 24, 2016
    Publication date: April 26, 2018
    Applicant: Palo Alto Research Center Incorporated
    Inventors: Jesse Vig, Harish Arsikere, Margaret H. Szymanski, Luke R. Plurkowski, Kyle D. Dent, Daniel G. Bobrow, Daniel Davies, Eric Saund
  • Publication number: 20180060797
    Abstract: A system and method for managing coverage of parking enforcement for a neighborhood with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.
    Type: Application
    Filed: August 26, 2016
    Publication date: March 1, 2018
    Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic
  • Publication number: 20180060795
    Abstract: A system and method for facilitating parking enforcement officer performance in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.
    Type: Application
    Filed: August 26, 2016
    Publication date: March 1, 2018
    Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Lu (Kate) Jia, Robert T. Krivacic, Sureyya Tarkan
  • Publication number: 20180060798
    Abstract: A system and method for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.
    Type: Application
    Filed: August 26, 2016
    Publication date: March 1, 2018
    Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic, Pai Liu, Sureyya Tarkan
  • Publication number: 20180060783
    Abstract: A system and method for motivating parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.
    Type: Application
    Filed: August 26, 2016
    Publication date: March 1, 2018
    Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Gaurang Gavai, Robert T. Krivacic, Sureyya Tarkan
  • Publication number: 20180060790
    Abstract: A system and method for coordinating parking enforcement officer patrol in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and ongoing activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.
    Type: Application
    Filed: August 26, 2016
    Publication date: March 1, 2018
    Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Robert T. Krivacic, Sureyya Tarkan
  • Publication number: 20180060789
    Abstract: A system and method for providing conditional autonomous messaging to parking enforcement officers with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.
    Type: Application
    Filed: August 26, 2016
    Publication date: March 1, 2018
    Inventors: Mark J. Stefik, Mudita Singhal, Daniel G. Bobrow
  • Publication number: 20180060796
    Abstract: A system and method for monitoring parking enforcement officer performance with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.
    Type: Application
    Filed: August 26, 2016
    Publication date: March 1, 2018
    Inventors: Mark J. Stefik, Mudita Singhal, Kevin Albanese, Farrukh Ali, Eric A. Bier, Daniel G. Bobrow, Eduardo Cardenas Sanchez, Matthew T. Darst, Hoda Eldardiry, Gaurang Gavai, Lu (Kate) Jia, Robert T. Krivacic, Pai Liu, Sureyya Tarkan
  • Publication number: 20170337177
    Abstract: Described are natural language web browsers configured to provide a natural language interface to an existing web browser or a newly created web browser. That is, users interact with the web browser employing speech (or text) as input and output instead of using a mouse and keyboard as input and an electronic display screen as output. Embodiments of a natural language web browser converts user questions, statements, and/or commands into actions, reads the resulting HTML and converts the HTML into natural language descriptions to provide to the user.
    Type: Application
    Filed: May 19, 2016
    Publication date: November 23, 2017
    Applicant: Palo Alto Research Center Incorporated
    Inventors: John T. Maxwell, III, Kyle D. Dent, Daniel G. Bobrow
  • Publication number: 20170193143
    Abstract: A new and/or improved method, apparatus and/or system is disclosed which aids in extending correct behavioral models to include fault modes and in fault mode analysis of components and/or systems in simulated model environments, including, e.g., FMEA and FMECA and diagnostic fault tree generation.
    Type: Application
    Filed: December 28, 2016
    Publication date: July 6, 2017
    Applicant: Palo Alto Research Center Incorporated
    Inventors: Bhaskar Saha, Tomonori Honda, Ion Matei, Daniel G. Bobrow, Johan Dekleer, William C. Janssen, Tolga Kurtolglu
  • Publication number: 20170049374
    Abstract: A method and system for generating a personalized health management recommendation for a user. During operation, the system obtains first physiological data generated by a wearable device worn by the user that indicates a physiological condition of the user. The system then generates a prediction model for the user based on the first physiological data. Next, the system obtains real-time physiological data generated by the wearable device. The system may generate a prediction by analyzing the real-time physiological data to determine whether the user's physiological condition exceeds a threshold parameter according to the prediction model. Upon determining that the threshold parameter has been exceeded, the system may select a recommendation and send the recommendation message to the user's mobile device.
    Type: Application
    Filed: August 19, 2015
    Publication date: February 23, 2017
    Applicant: Palo Alto Research Center Incorporated
    Inventors: Hoda M.A. Eldardiry, Jonathan Rubin, Rui Abreu, Shane P. Ahern, Daniel G. Bobrow, David Garcia, Honglu Du, Ashish Pattekar
  • Publication number: 20160179900
    Abstract: A computer-implemented method for analyzing organizational performance from episodic data is provided. Event objects for events is maintained in a database. A trigger for notifying beginning of an event is received. An event object is generated in response to the trigger. Activity data is created for the event object and each of the activity data includes notes of a subjective nature having received and messages of an objective nature. Each of the activity data is associated with event tags. Each of the event objects is classified in an event class and the event class includes a pattern of parameters. Analytics of the event objects is performed based on the event tags and the event class. Filters received from a reviewer is defined for search. A list of the analytics of the event objects which pattern of parameters matches with the filters is displayed on a display.
    Type: Application
    Filed: December 19, 2014
    Publication date: June 23, 2016
    Inventors: Mark J. Stefik, Daniel G. Bobrow, Hoda Eldardiry, Robert T. Krivacic, Pai Liu, Sureyya Tarkan, Edward Wu
  • Publication number: 20150051890
    Abstract: A method is provided for automatically generating an augmented model of a cyber-physical component. Cyber-physical components are built from or depend upon the synergy computational and physical components. The method includes: reading an input model (22) into a processor (10), the input model describing a nominal mode of operation for a physical component modeled by the input model; parsing with the processor the input model to generate a parse thereof; analyzing with the processor the parse of the input model; and automatically writing with the processor an augmented model (42) for the physical component from the input model based on the analysis, the augmented model describing the nominal mode of operation for the modeled physical component and at least one alternate mode of operation for the modeled physical component which is different from the nominal mode of operation.
    Type: Application
    Filed: August 15, 2013
    Publication date: February 19, 2015
    Applicant: Palo Alto Research Center Incorporated
    Inventors: Bhaskar Saha, William C. Janssen, Jr., Daniel G. Bobrow, Tolga Kurtoglu, Johan de Kleer
  • Publication number: 20140365404
    Abstract: One embodiment of the present invention provides a system for clustering heterogeneous events using user-provided constraints. During operation, the system estimates, based on a probabilistic model, a distribution of events across clusters such that each cluster includes a set of events. Next, the system estimates a probability distribution for an event property associated with each cluster. The system receives heterogeneous event data, and analyzes the heterogeneous event data to determine the probability distribution of event properties of clusters and to assign events to clusters. The system receives user input specifying the user-provided constraints for specializing the probabilistic model, and performs at least one of: re-computing the assignment of events to clusters, and re-determining the probability distribution of event properties of clusters based on the user input.
    Type: Application
    Filed: June 11, 2013
    Publication date: December 11, 2014
    Inventors: Evgeniy Bart, Robert R. Price, Daniel G. Bobrow
  • Patent number: 8672460
    Abstract: Various particle transport systems and components for use in such systems are described. The systems utilize one or more traveling wave grids to selectively transport, distribute, separate, or mix different populations of particles. Numerous systems configured for use in two dimensional and three dimensional particle transport are described.
    Type: Grant
    Filed: February 25, 2010
    Date of Patent: March 18, 2014
    Assignee: Xerox Corporation
    Inventors: Armin R. Volkel, David Biegelsen, Philip D. Floyd, Greg Anderson, Fred Endicott, Eric Peeters, Jaan Noolandi, Karen A. Moffat, Peter M. Kazmaier, Maria McDougall, Daniel G. Bobrow
  • Patent number: 8550603
    Abstract: Various particle transport systems and components for use in such systems are described. The systems utilize one or more traveling wave grids to selectively transport, distribute, separate, or mix different populations of particles. Numerous systems configured for use in two dimensional and three dimensional particle transport are described.
    Type: Grant
    Filed: February 25, 2010
    Date of Patent: October 8, 2013
    Assignee: Xerox Corporation
    Inventors: Armin R. Volkel, David Biegelsen, Philip D. Floyd, Greg Anderson, Fred Endicott, Eric Peeters, Jaan Noolandi, Karen A. Moffat, Peter M. Kazmaier, Maria McDougall, Daniel G. Bobrow
  • Patent number: 8550604
    Abstract: Various particle transport systems and components for use in such systems are described. The systems utilize one or more traveling wave grids to selectively transport, distribute, separate, or mix different populations of particles. Numerous systems configured for use in two dimensional and three dimensional particle transport are described.
    Type: Grant
    Filed: February 25, 2010
    Date of Patent: October 8, 2013
    Assignee: Xerox Corporation
    Inventors: Armin R. Volkel, David Biegelsen, Philip D. Floyd, Greg Anderson, Fred Endicott, Eric Peeters, Jaan Noolandi, Karen A. Moffat, Peter M. Kazmaier, Maria McDougall, Daniel G. Bobrow