Pratik D. Jha - Herndon VA, US Alexander Suchkov - Sterling VA, US Rajesh Venkat Subbu - Clifton Park NY, US John Michael Lizzi - Wilton NY, US Jingqiao Zhang - Troy NY, US Ian Crook - Paris, FR Abderrazak Tibichte - Charenton le Pont, FR
Assignee:
Lockheed Martin Corporation - Bethesda MD
International Classification:
G06F 19/00 G06G 7/70 G06G 7/76
US Classification:
701121
Abstract:
Hybrid-heuristic optimization of competing portfolios of flight paths for flights through one or more sectors of an airspace represented by an air traffic system. In one embodiment, a hybrid-heuristic optimization process () includes one or more heuristic based processes (), a genetic optimization process (), an evaluation process involving an approximation model (), an optimal portfolio selection process () and a validation process involving simulation () of the air traffic system.
Gerald Wise - Clifton Park NY, US Louis Hoebel - Burnt Hills NY, US John Lizzi - Wilton NY, US Wei Chai - Niskayuna NY, US Helena Goldfarb - Niskayuna NY, US Anil Abraham - New York NY, US Richard Zinser - Niskayuna NY, US
International Classification:
G10L 11/06
US Classification:
704215000, 704260000
Abstract:
A system for detecting and modifying breath pauses in a speech input signal includes a breath detection unit connected to receive the speech input signal and to detect breath pauses. The system also includes a modification unit connected to receive input from the breath detection unit and to replace the breath pauses with a predetermined input and/or to attenuate the breath pauses. The breath detection unit is further configured to output an output speech signal.
Gerald Wise - Clifton Park NY, US Louis Hoebel - Burnt Hills NY, US John Lizzi - Albany NY, US Wei Chai - Niskayuna NY, US Helena Goldfarb - Niskayuna NY, US Anil Abraham - Latham NY, US
International Classification:
G10L 15/26
US Classification:
704235000
Abstract:
A system for generating closed captions is provided. The system includes a speech recognition engine configured to generate one or more text transcripts corresponding to one or more speech segments from an audio signal. The system further includes a processing engine, one or more context-based models and an encoder. The processing engine is configured to process the text transcripts. The context-based models are configured to identify an appropriate context associated with the text transcripts. The encoder is configured to broadcast the text transcripts corresponding to the speech segments as closed captions.
Gerald Wise - Clifton Park NY, US Louis Hoebel - Burnt Hills NY, US John Lizzi - Wilton NY, US Wei Chai - Niskayuna NY, US Helena Goldfarb - Niskayuna NY, US Anil Abraham - New York NY, US Richard Zinser - Niskayuna NY, US
International Classification:
G10L 15/26
US Classification:
704235000
Abstract:
A system for generating closed captions from an audio signal includes an audio pre-processor configured to correct one or more predetermined undesirable attributes from an audio signal and to output one or more speech segments. The system also includes a speech recognition module configured to generate from the one or more speech segments one or more text transcripts and a post processor configured to provide at least one pre-selected modification to the text transcripts. Further included is an encoder configured to broadcast modified text transcripts corresponding to the speech segments as closed captions.
Gerald Wise - Clifton Park NY, US Louis Hoebel - Burnt Hills NY, US John Lizzi - Wilton NY, US Wei Chai - Niskayuna NY, US Helena Goldfarb - Niskayuna NY, US Anil Abraham - New York NY, US Richard Zinser - Niskayuna NY, US
International Classification:
G10L 15/26
US Classification:
704235000, 704233000
Abstract:
A method for detecting and modifying breath pauses in a speech input signal includes detecting breath pauses in a speech input signal; modifying the breath pauses by replacing the breath pauses with a predetermined input and/or attenuating the breath pauses; and outputting an output speech signal. A computer program for carrying out the method is also presented.
Gerald Bowden Wise - Clifton Park NY, US John Michael Lizzi - Wilton NY, US Louis John Hoebel - Burnt Hills NY, US Rajesh Venkat Subbu - Clifton Park NY, US Daniel Joseph Cleary - Schenectady NY, US Liviu Nedelescu - Arlington VA, US Paul W. Mettus - Gaithersburg MD, US Bradley A. Culbertson - Gaithersburg MD, US Jonathan Dehn - Damascus MD, US
International Classification:
G06G 7/76
US Classification:
701120, 342 36
Abstract:
Systems and methods for airspace demand prediction with improved sector level demand prediction are provided. In one embodiment, an air traffic demand prediction system () operable to predict demand within an airspace divided into sectors includes an expanded route predictor () operable to generate predicted two-dimensional expanded route information () associated with at least one requested flight (), a trajectory modeler () operable to generate predicted four-dimensional expanded route information (), a sector crossing predictor () operable to generate predicted sector crossing information (), a departure time predictor () operable to generate predicted departure time information (), and a demand modeler () operable to generate a demand model (), the demand model () including predicted time intervals associated with the at least one requested flight indicating when it is expected to be present within one or more sectors of the airspace.
Multi Objective National Airspace Flight Path Optimization
Pratik D. Jha - Herndon VA, US Alexander Suchkov - Sterling VA, US Rajesh Venkat Subbu - Clifton Park NY, US John Michael Lizzi - Wilton NY, US Naresh Iyer - Clifton Park NY, US
Assignee:
Lockheed Martin Corporation - Bethesda MD
International Classification:
G06F 17/00
US Classification:
705 7
Abstract:
Systems and methods for optimizing a plurality of competing portfolios of logistical alternatives are disclosed. In one embodiment, where the competing portfolios of logistical alternatives are competing portfolios of flight paths, a method () for optimizing a plurality of competing portfolios of logistical alternatives includes receiving () competing flight path portfolios from one or more flight operation centers. Dominance criteria are applied () to select a subset of the portfolios from the plurality of competing portfolios for further consideration. Multi-objective genetic optimization is applied () to the subset of portfolios to identify an optimal portfolio among the plurality of competing portfolios of logistical alternatives. Where the method () is undertaken by executing computer program code on at least one computer processor, information identifying the logistical alternatives included in the optimal portfolio may be output () on an output device in communication with the computer processor.
Multi Objective National Airspace Collaborative Optimization
Pratik D. Jha - Herndon VA, US Rajesh Venkat Subbu - Clifton Park NY, US John Michael Lizzi - Wilton NY, US Naresh Iyer - Clifton Park NY, US Liviu Nedelescu - Bucharest, RO
Assignee:
Lockheed Martin Corporation - Bethesda MD
International Classification:
G06Q 10/00
US Classification:
705 7
Abstract:
Systems and methods for planning and optimizing air traffic flow within an airspace are provided. In one embodiment, a system () includes: (1) a stakeholder objective evaluation module () receiving stakeholder preferences from stakeholders having an interest in flight routing within the airspace during an operational planning period and stakeholder metrics as feedback input and outputting strategic and flight route settings for the airspace based on the stakeholder preferences and stakeholder metrics; (2) a strategic optimization module () receiving the strategic settings, creating an initial airspace state, and generating an updated airspace state using the strategic settings; (3) a route optimization module () receiving the flight route settings and selecting preferred routes for flights during the operational planning period using the route settings; and (4) a simulation module () receiving simulation settings including the airspace state and the preferred routes, simulating flights during the operational planning period, and outputting the stakeholder metrics for feed-back.
Ge Global Research Feb 2017 - Aug 2017
Technical Operations Leader - Robotics and M2M Systems
Ge Global Research Nov 2011 - Feb 2017
R and D Manager - Distributed Intelligent Systems
Robotic Industries Association Nov 2011 - Feb 2017
Member - Board of Directors
Ge Global Research Nov 2011 - Feb 2017
Executive Leader - Robotics
Ge Global Research May 2005 - Oct 2011
Research Scientist and Project Leader
Education:
University at Albany, Suny 2006 - 2008
Master of Business Administration, Masters, Management
Rensselaer Polytechnic Institute 2001 - 2003
Master of Science, Masters, Engineering
Siena College 1997 - 2001
Bachelors, Bachelor of Science, Computer Science
Colonie Central High School
Skills:
R&D Systems Engineering Management Research Robotics Computer Science Distributed Systems Cyber Physical Systems M2M Innovation Software
Interests:
Robotics Cognitive Systems Iot M2M Multi Agent Systems
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John Lizzi
Education:
California State University, Northridge - BA/Theatre, Onondaga Community College, NY - AA/Drama
About:
John Lizzi is an American freelance actor in film, television and stage. Lizzi is a member of Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) and Actors’ Equity Ass...