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).
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Patent number: 11934410Abstract: 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: GrantFiled: July 16, 2018Date of Patent: March 19, 2024Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Daniel G. Bobrow, Hoda Eldardiry, Robert T. Krivacic, Pai Liu, Sureyya Tarkan, Ed Wu
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Publication number: 20230169259Abstract: 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: ApplicationFiled: January 30, 2023Publication date: June 1, 2023Applicant: Palo Alto Research Center IncorporatedInventors: John T. Maxwell, Kyle D. Dent, Daniel G. Bobrow
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Patent number: 11599709Abstract: 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: GrantFiled: May 19, 2016Date of Patent: March 7, 2023Assignee: Palo Alto Research Center IncorporatedInventors: John T. Maxwell, III, Kyle D. Dent, Daniel G. Bobrow
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Publication number: 20220310100Abstract: A one-time passphrase is transmitted from an authentication system to a personal communication device of a user. The one-time passphrase includes common but incongruous words. The user is prompted to verbalize the one-time passphrase to a processor-implemented, conversational user interface. Utterances from the user are received by a conversational user interface, and the utterances are communicated from the conversational user interface to the authentication system via a trusted communication channel. The authentication system determines, using speech recognition, presence or non-presence of the one-time passphrase within the received utterances. The authentication system authenticates the user in response to detecting presence of the one-time passphrase within the received utterances.Type: ApplicationFiled: March 29, 2021Publication date: September 29, 2022Inventors: Eric Saund, Kyle Dent, John T. Maxwell, III, Jesse Vig, Daniel G. Bobrow
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Patent number: 11157860Abstract: 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: GrantFiled: August 26, 2016Date of Patent: October 26, 2021Assignee: Conduent Business Services, LLCInventors: 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
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Patent number: 11144855Abstract: 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: GrantFiled: August 26, 2016Date of Patent: October 12, 2021Assignee: Conduent Business Services, LLCInventors: 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
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Patent number: 11126942Abstract: 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: GrantFiled: August 26, 2016Date of Patent: September 21, 2021Assignee: Conduent Business Services, LLCInventors: 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
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Patent number: 11120375Abstract: 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: GrantFiled: August 26, 2016Date of Patent: September 14, 2021Assignee: Conduent Business Services, LLCInventors: 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
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Patent number: 11068813Abstract: 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: GrantFiled: August 26, 2016Date of Patent: July 20, 2021Assignee: Palo Alto Research Center IncorporatedInventors: Mark J. Stefik, Mudita Singhal, Daniel G. Bobrow
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Patent number: 11062241Abstract: 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: GrantFiled: August 26, 2016Date of Patent: July 13, 2021Assignee: Conduent Business Services, LLCInventors: 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
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Patent number: 10817814Abstract: 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: GrantFiled: August 26, 2016Date of Patent: October 27, 2020Assignee: Conduent Business Services, LLCInventors: 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
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Patent number: 10610144Abstract: 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: GrantFiled: August 19, 2015Date of Patent: April 7, 2020Assignee: Palo Alto Research Center IncorporatedInventors: Hoda M. A. Eldardiry, Jonathan Rubin, Rui Abreu, Shane P. Ahern, Daniel G. Bobrow, David Garcia, Honglu Du, Ashish Pattekar
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Patent number: 10592611Abstract: 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: GrantFiled: October 24, 2016Date of Patent: March 17, 2020Assignee: Conduent Business Services, LLCInventors: Jesse Vig, Harish Arsikere, Margaret H. Szymanski, Luke R. Plurkowski, Kyle D. Dent, Daniel G. Bobrow, Daniel Davies, Eric Saund
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Patent number: 10558766Abstract: 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: GrantFiled: December 28, 2016Date of Patent: February 11, 2020Assignee: Palo Alto Research Center IncorporatedInventors: Bhaskar Saha, Tomonori Honda, Ion Matei, Daniel G. Bobrow, Johan Dekleer, William C. Janssen, Tolga Kurtoglu
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Publication number: 20180322172Abstract: 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: ApplicationFiled: July 16, 2018Publication date: November 8, 2018Inventors: Mark J. Stefik, Daniel G. Bobrow, Hoda Eldardiry, Robert T. Krivacic, Pai Liu, Sureyya Tarkan, Ed Wu
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Publication number: 20180322173Abstract: 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: ApplicationFiled: July 16, 2018Publication date: November 8, 2018Inventors: Mark J. Stefik, Daniel G. Bobrow, Hoda Eldardiry, Robert T. Krivacic, Pai Liu, Sureyya Tarkan, Ed Wu
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Patent number: 10025829Abstract: 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: GrantFiled: December 19, 2014Date of Patent: July 17, 2018Assignee: Conduent Business Services, LLCInventors: Mark J. Stefik, Daniel G. Bobrow, Hoda Eldardiry, Robert T. Krivacic, Pai Liu, Sureyya Tarkan, Edward Wu
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Publication number: 20180113854Abstract: 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: ApplicationFiled: October 24, 2016Publication date: April 26, 2018Applicant: Palo Alto Research Center IncorporatedInventors: Jesse Vig, Harish Arsikere, Margaret H. Szymanski, Luke R. Plurkowski, Kyle D. Dent, Daniel G. Bobrow, Daniel Davies, Eric Saund
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Publication number: 20180060797Abstract: 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: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: 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
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Publication number: 20180060789Abstract: 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: ApplicationFiled: August 26, 2016Publication date: March 1, 2018Inventors: Mark J. Stefik, Mudita Singhal, Daniel G. Bobrow