Patents by Inventor Paul Alex
Paul Alex 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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Publication number: 20200289137Abstract: Scalar-longitudinal waves of a particular type are disclosed here which have the ability to slow down clock-measured time flow as well as the rate of all physical processes in a manner similar to the phenomenon of relativistic time dilation, but where said slowing occurs in a stationary frame of reference. An apparatus consisting of a high-voltage DC power supply whose high-voltage output is discharged through a thyratron to a dome electrode to produce a repeating series of scalar-longitudinal DC shock waves of short rise-time and arranged to pass through a target object or person for the purpose of slowing down the rate of flow of time for said target object or person.Type: ApplicationFiled: October 30, 2019Publication date: September 17, 2020Inventor: Paul Alex LaViolette
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Patent number: 10229369Abstract: A method for creating predictive damage models includes receiving a first predictive damage model, identifying latent space between a first and a second domain asset, building a regression model from first domain asset projected source data, creating target dependent variables of a second model, applying classification or regression techniques to determine a function expressing the dependent variables, determining data points from the function to develop a second regression model, applying the second regression model to data points to predict target dependent variables, evaluating the second predictive damage model using the predicted target dependent variables, performing a sensitivity study to determine a directionality parameter of the second predictive damage model, and if the results are within an acceptable predetermined range, providing maintenance or servicing recommendations generated by the second predictive model to a user platform display, else repeating the process by rebuilding the regression moType: GrantFiled: April 19, 2016Date of Patent: March 12, 2019Assignee: GENERAL ELECTRIC COMPANYInventors: Paul Alex Ardis, Subhankar Ghosh, Alexander Turner Graf
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Patent number: 9934315Abstract: A method and system for providing personalized search results is disclosed. A computer receives input from a user to navigate to a web site (either directly or as a result of choosing a result from a search result page). The computer navigates to the web site and stores information about the web site in a file. The computer determines web sites associated with a search query of the user as the search query is being entered into a search area of a user interface. The associated web sites are sites that have been previously navigated to by the user. The determining step includes obtaining the web sites associated with the search query from a data structure previously generated from the file. The data structure includes parsed entries of URLs associated with the previously navigated web sites. Based on the determining step, web site links corresponding to the associated web sites are displayed as the search query is being entered.Type: GrantFiled: October 24, 2016Date of Patent: April 3, 2018Assignee: EXCALIBUR IP, LLCInventors: Paul Alex Broman, David Watanabe, Ariel Seidman
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Publication number: 20170300605Abstract: A method for creating predictive damage models includes receiving a first predictive damage model, identifying latent space between a first and a second domain asset, building a regression model from first domain asset projected source data, create target dependent variables of a second model, applying classification or regression techniques to determine a function expressing the dependent variables, determining data points from the function to develop a second regression model, applying the second regression model to data points to predict target dependent variables, evaluating the second predictive damage model using the predicted target dependent variables, performing a sensitivity study to determine a directionality parameter of the second predictive damage model, and if the results are within an acceptable predetermined range, providing maintenance or servicing recommendations generated by the second predictive model to a user platform display, else repeating the process by rebuilding the regression modeType: ApplicationFiled: April 19, 2016Publication date: October 19, 2017Inventors: Paul Alex ARDIS, Subhankar GHOSH, Alexander Turner GRAF
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Publication number: 20170286854Abstract: A method for automatic revision of a predictive damage model that assess a physical system and provides maintenance recommendations to a user platform includes evaluating the predictive model at periodic intervals, identifying alternate parameters for the model that satisfy real-world physical constraints, determining an impact of the alternate parameters on an accuracy of the predictive model, forecasting performance of a predictive model modified with the alternate parameters, optimizing data driven terms of the predictive model by deploying the alternate parameters, and providing updated maintenance recommendations to a user platform display based on the modified predictive model. The method can also include comparing the one or more maintenance recommendations to actual maintenance experiences on the physical system, and also performing a heuristic parameter search for the data-driven terms.Type: ApplicationFiled: March 30, 2016Publication date: October 5, 2017Inventors: Paul Alex ARDIS, Yunwen XU
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Publication number: 20170068740Abstract: A method and system for providing personalized search results is disclosed. A computer receives input from a user to navigate to a web site (either directly or as a result of choosing a result from a search result page). The computer navigates to the web site and stores information about the web site in a file. The computer determines web sites associated with a search query of the user as the search query is being entered into a search area of a user interface. The associated web sites are sites that have been previously navigated to by the user. The determining step includes obtaining the web sites associated with the search query from a data structure previously generated from the file. The data structure includes parsed entries of URLs associated with the previously navigated web sites. Based on the determining step, web site links corresponding to the associated web sites are displayed as the search query is being entered.Type: ApplicationFiled: October 24, 2016Publication date: March 9, 2017Inventors: Paul Alex BROMAN, David WATANABE, Ariel SEIDMAN
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Patent number: 9477763Abstract: A method and system for providing personalized search results is disclosed. A computer receives input from a user to navigate to a web site (either directly or as a result of choosing a result from a search result page). The computer navigates to the web site and stores information about the web site in a file. The computer determines web sites associated with a search query of the user as the search query is being entered into a search area of a user interface. The associated web sites are sites that have been previously navigated to by the user. The determining step includes obtaining the web sites associated with the search query from a data structure previously generated from the file. The data structure includes parsed entries of URLs associated with the previously navigated web sites. Based on the determining step, web site links corresponding to the associated web sites are displayed as the search query is being entered.Type: GrantFiled: March 2, 2009Date of Patent: October 25, 2016Assignee: Excalibur IP, LCInventors: Paul Alex Broman, David Watanabe, Ariel Seidman
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Patent number: 9472187Abstract: The present disclosure relates to training a speech recognition system. One example method includes receiving a collection of speech data items, wherein each speech data item corresponds to an utterance that was previously submitted for transcription by a production speech recognizer. The production speech recognizer uses initial production speech recognizer components in generating transcriptions of speech data items. A transcription for each speech data item is generated using an offline speech recognizer, and the offline speech recognizer components are configured to improve speech recognition accuracy in comparison with the initial production speech recognizer components. The updated production speech recognizer components are trained for the production speech recognizer using a selected subset of the transcriptions of the speech data items generated by the offline speech recognizer.Type: GrantFiled: May 25, 2016Date of Patent: October 18, 2016Assignee: Google Inc.Inventors: Olga Kapralova, John Paul Alex, Eugene Weinstein, Pedro J. Moreno Mengibar, Olivier Siohan, Ignacio Lopez Moreno
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Publication number: 20160267903Abstract: The present disclosure relates to training a speech recognition system. One example method includes receiving a collection of speech data items, wherein each speech data item corresponds to an utterance that was previously submitted for transcription by a production speech recognizer. The production speech recognizer uses initial production speech recognizer components in generating transcriptions of speech data items. A transcription for each speech data item is generated using an offline speech recognizer, and the offline speech recognizer components are configured to improve speech recognition accuracy in comparison with the initial production speech recognizer components. The updated production speech recognizer components are trained for the production speech recognizer using a selected subset of the transcriptions of the speech data items generated by the offline speech recognizer.Type: ApplicationFiled: May 25, 2016Publication date: September 15, 2016Inventors: Olga Kapralova, John Paul Alex, Eugene Weinstein, Pedro J. Moreno Mengibar, Olivier Siohan, Ignacio Lopez Moreno
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Patent number: 9378731Abstract: The present disclosure relates to training a speech recognition system. One example method includes receiving a collection of speech data items, wherein each speech data item corresponds to an utterance that was previously submitted for transcription by a production speech recognizer. The production speech recognizer uses initial production speech recognizer components in generating transcriptions of speech data items. A transcription for each speech data item is generated using an offline speech recognizer, and the offline speech recognizer components are configured to improve speech recognition accuracy in comparison with the initial production speech recognizer components. The updated production speech recognizer components are trained for the production speech recognizer using a selected subset of the transcriptions of the speech data items generated by the offline speech recognizer.Type: GrantFiled: April 22, 2015Date of Patent: June 28, 2016Assignee: Google Inc.Inventors: Olga Kapralova, John Paul Alex, Eugene Weinstein, Pedro J. Moreno Mengibar, Olivier Siohan, Ignacio Lopez Moreno
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Publication number: 20160093294Abstract: The present disclosure relates to training a speech recognition system. One example method includes receiving a collection of speech data items, wherein each speech data item corresponds to an utterance that was previously submitted for transcription by a production speech recognizer. The production speech recognizer uses initial production speech recognizer components in generating transcriptions of speech data items. A transcription for each speech data item is generated using an offline speech recognizer, and the offline speech recognizer components are configured to improve speech recognition accuracy in comparison with the initial production speech recognizer components. The updated production speech recognizer components are trained for the production speech recognizer using a selected subset of the transcriptions of the speech data items generated by the offline speech recognizer.Type: ApplicationFiled: April 22, 2015Publication date: March 31, 2016Inventors: Olga Kapralova, John Paul Alex, Eugene Weinstein, Pedro J. Moreno Mengibar, Olivier Siohan, Ignacio Lopez Moreno
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Patent number: 8693729Abstract: The present invention creates and stores target representations in several coordinate representations based on biologically inspired models of the human vision system. By using biologically inspired target representations a computer can be programmed for robot control without using kinematics to relate a target position in camera eyes to a target position in body or head coordinates. The robot sensors and appendages are open loop controlled to focus on the target. In addition, the invention herein teaches a scenario and method to learn the mappings between coordinate representations using existing machine learning techniques such as Locally Weighted Projection Regression.Type: GrantFiled: August 14, 2012Date of Patent: April 8, 2014Assignee: HRL Laboratories, LLCInventors: Paul Alex Dow, Deepak Khosla, David J Huber
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Patent number: 8396249Abstract: A method and apparatus for controlling robots based on prioritized targets extracted from fused visual and auditory saliency maps. The fused visual and auditory saliency map may extend beyond the immediate visual range of the robot yet the methods herein allow the robot to maintain an awareness of targets outside the immediate visual range. The fused saliency map may be derived in a bottom-up or top-down approach and may be feature based or object based.Type: GrantFiled: December 23, 2008Date of Patent: March 12, 2013Assignee: HRL Laboratories, LLCInventors: Deepak Khosla, Paul Alex Dow, David Huber
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Patent number: 8396282Abstract: The present disclosure describes a fused saliency map from visual and auditory saliency maps. The saliency maps are in azimuth and elevation coordinates. The auditory saliency map is based on intensity, frequency and temporal conspicuity maps. Once the auditory saliency map is determined, the map is converted into azimuth and elevation coordinates by processing selected snippets of sound from each of four microphones arranged on a robot head to detect the location of the sound source generating the saliencies.Type: GrantFiled: October 31, 2008Date of Patent: March 12, 2013Assignee: HRL Labortories, LLCInventors: David J Huber, Deepak Khosla, Paul Alex Dow
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Patent number: 8311317Abstract: The present invention creates and stores target representations in several coordinate representations based on biologically inspired models of the human vision system. By using biologically inspired target representations a computer can be programmed for robot control without using kinematics to relate a target position in camera eyes to a target position in body or head coordinates. The robot sensors and appendages are open loop controlled to focus on the target. In addition, the invention herein teaches a scenario and method to learn the mappings between coordinate representations using existing machine learning techniques such as Locally Weighted Projection Regression.Type: GrantFiled: August 15, 2008Date of Patent: November 13, 2012Assignee: HRL Laboratories, LLCInventors: Paul Alex Dow, Deepak Khosla, David J Huber
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Publication number: 20100223252Abstract: A method and system for providing personalized search results is disclosed. A computer receives input from a user to navigate to a web site (either directly or as a result of choosing a result from a search result page). The computer navigates to the web site and stores information about the web site in a file. The computer determines web sites associated with a search query of the user as the search query is being entered into a search area of a user interface. The associated web sites are sites that have been previously navigated to by the user. The determining step includes obtaining the web sites associated with the search query from a data structure previously generated from the file. The data structure includes parsed entries of URLs associated with the previously navigated web sites. Based on the determining step, web site links corresponding to the associated web sites are displayed as the search query is being entered.Type: ApplicationFiled: March 2, 2009Publication date: September 2, 2010Applicant: Yahoo! Inc.Inventors: Paul Alex Broman, David Watanabe, Ariel Seidman
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Patent number: 7733094Abstract: An apparatus for monitoring and measuring the electrical, thermal and mechanical operating parameters of high voltage power conductors. A toroidal shaped housing, which can be mounted onto an energized conductor, contains all of the necessary electrical instruments to monitor the parameters associated with the conductor. Moreover, the housing includes the processing capability to analyze disturbance and fault events based on these parameters.Type: GrantFiled: October 31, 2005Date of Patent: June 8, 2010Assignee: Underground Systems, Inc.Inventors: James Bright, Larry Fish, John Engelhardt, Paul Alex, Duncan Breese
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Patent number: 7535143Abstract: An electromagnetic coupler for a motor vehicle. The coupler includes a first electric machine having an axis and including a first stator bearing a first coil, an input rotor and a first part of an output rotor, and a second electric machine including a second stator bearing a second coil and a second part of the output rotor. The input rotor includes an inner drum spaced apart from the first part of the output rotor and from the first yoke, while the second yoke is spaced apart from the second part of the output rotor by an air gap. The first coil is wound onto the yoke of the first stator around the axis of the first electric machine.Type: GrantFiled: January 31, 2005Date of Patent: May 19, 2009Assignee: Renault S.A.S.Inventors: Paul Alex Romagny, Armando Fonseca
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Publication number: 20080297162Abstract: An apparatus for monitoring and measuring the electrical, thermal and mechanical operating parameters of high voltage power conductors. A toroidal shaped housing, which can be mounted onto an energized conductor, contains all of the necessary electrical instruments to monitor the parameters associated with the conductor. Moreover, the housing includes the processing capability to analyze disturbance and fault events based on these parameters.Type: ApplicationFiled: October 31, 2005Publication date: December 4, 2008Applicant: UNDERGROUNDS SYSTEMS INC.Inventors: James Bright, Larry Fish, John Engelhardt, Paul Alex, Duncan Breese
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Patent number: RE44256Abstract: An apparatus for monitoring and measuring the electrical, thermal and mechanical operating parameters of high voltage power conductors. A toroidal shaped housing, which can be mounted onto an energized conductor, contains all of the necessary electrical instruments to monitor the parameters associated with the conductor. Moreover, the housing includes the processing capability to analyze disturbance and fault events based on these parameters.Type: GrantFiled: October 31, 2005Date of Patent: June 4, 2013Assignee: Underground Systems, Inc.Inventors: Larry Fish, John Engelhardt, Paul Alex, Duncan Breese