Patents Assigned to Aptima, Inc
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Patent number: 9965725Abstract: A method for power management comprising inferring a user behavior from an action, inferring a mission state from the action and an event, forecasting a forecasted action from the user behavior and the mission state and outputting an instruction to modify a power resource allocation based on the forecasted action. A processor based assembly for power management of at least one device comprising a means to infer a user behavior from an action, a means to infer a mission state from the action and an event, a means to forecast and a means to plan power management from the inferred information. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.Type: GrantFiled: December 1, 2014Date of Patent: May 8, 2018Assignee: Aptima, Inc.Inventors: Georgiy Levchuk, Nathan Schurr, Darby Hering, Mitch Zakin
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Patent number: 9917739Abstract: Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic multi-attribute graph matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.Type: GrantFiled: December 31, 2012Date of Patent: March 13, 2018Assignee: Aptima, Inc.Inventors: Georgiy Levchuk, E. Webb Stacy, Charlotte Shabarekh
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Patent number: 9594825Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.Type: GrantFiled: July 26, 2015Date of Patent: March 14, 2017Assignee: Aptima, Inc.Inventors: Bruce Skarin, Andrew Duchon, Richard Alexis DeJordy, Paul David Allopenna
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Patent number: 9293054Abstract: Computer implemented systems and methods of communicating a system reaction to environmental input comprising receiving environmental input, determining a hazard state and a user state from the environmental input, determining a system reaction from the hazard state and the user state and communicating the system reaction to a user interface. In some embodiments, the system reaction comprises a system reaction level and in some embodiments the system reaction level corresponds to a stage of automation. In some embodiments, the user interface is a multimodal interface and in some embodiments the user interface is a haptic interface.Type: GrantFiled: November 12, 2012Date of Patent: March 22, 2016Assignee: Aptima, Inc.Inventors: Sylvain Bruni, Andy Chang, Alan Carlin, Yale Marc, Leah Swanson, Stephanie Pratt, Gilbert Mizrahi
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Publication number: 20160012121Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.Type: ApplicationFiled: July 26, 2015Publication date: January 14, 2016Applicant: APTIMA, INC.Inventors: Bruce Skarin, Andrew Duchon, Richard Alexis DeJordy, Paul David Allopenna
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Publication number: 20160007899Abstract: Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.Type: ApplicationFiled: March 13, 2014Publication date: January 14, 2016Applicant: Aptima, Inc.Inventors: Kevin Durkee, Scott Pappada, Andres Ortiz, William DePriest, John Feeney, Alexandra Geyer, Seamus Sullivan, Sterling Wiggins
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Patent number: 9177259Abstract: Embodiments of the disclosed systems and methods comprise systems and methods for recognizing actions of an object and matching those actions with expected patterns of actions. In some embodiments, the methods recognize actions using statistical classifiers and aggregate data about locomotions, actions, and interactions of the object to infer patterns of that object using a pattern recognition algorithm. In some embodiments, the systems and methods are further able to select responses to recognized patterns and learn patterns over time.Type: GrantFiled: November 29, 2011Date of Patent: November 3, 2015Assignee: Aptima Inc.Inventor: Georgiy Levchuk
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Patent number: 9165254Abstract: The present invention relate to a method and system to predict the likelihood of data topics that may occur from data sources. The likelihood of the data topics may be predicted over other dimensions of time or over other dimensions. In the present invention, a topic means a defining characteristic, usually represented as a data element, of a single feature, activity, subject, behavior, event or an aggregation of such defining characteristics.Type: GrantFiled: January 13, 2009Date of Patent: October 20, 2015Assignee: Aptima, Inc.Inventors: Andrew P. Duchon, Robert McCormack, William J. Salter, Paul David Allopenna, Shawn Weil, John Colonna-Romano, David Kramer
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Publication number: 20150286956Abstract: A processor based system and method of generating cognitive pattern knowledge of a sensory input is disclosed. The method comprising the steps of receiving sensory input to create at least one concrete pattern, receiving at least one abstract pattern comprising abstract segments and vertically blending the concrete pattern with the abstract pattern by selectively projecting abstract segments to create a vertically blended pattern whereby the vertically blended pattern represents cognitive pattern knowledge of the sensory input. In some embodiments, the systems and methods further comprise creating a measure of a degree of vertical blending and when the measure of the degree of vertical blending exceeds a threshold, horizontally blending at least two abstract patterns to create a horizontally blended abstract pattern.Type: ApplicationFiled: June 14, 2015Publication date: October 8, 2015Applicant: APTIMA, INC.Inventors: E. Webb Stacy, Alexandra Geyer
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Patent number: 9123022Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity's attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.Type: GrantFiled: May 27, 2009Date of Patent: September 1, 2015Assignee: Aptima, Inc.Inventors: Bruce Skarin, Andrew Duchon, Paul Allopenna, Rich Dejordy
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Patent number: 9058561Abstract: A processor based system and method of generating cognitive pattern knowledge of a sensory input is disclosed. The method comprising the steps of receiving sensory input to create at least one concrete pattern, receiving at least one abstract pattern comprising abstract segments and vertically blending the concrete pattern with the abstract pattern by selectively projecting abstract segments to create a vertically blended pattern whereby the vertically blended pattern represents cognitive pattern knowledge of the sensory input. In some embodiments, the systems and methods further comprise creating a measure of a degree of vertical blending and when the measure of the degree of vertical blending exceeds a threshold, horizontally blending at least two abstract patterns to create a horizontally blended abstract pattern.Type: GrantFiled: March 21, 2011Date of Patent: June 16, 2015Assignee: Aptima, Inc.Inventors: E. Webb Stacy, Alexandra Geyer
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Publication number: 20150049634Abstract: Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic multi-attribute graph matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated with social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.Type: ApplicationFiled: December 31, 2012Publication date: February 19, 2015Applicant: Aptima, Inc.Inventors: Georgiy Levchuk, E. Webb Stacy, Charlotte Shabarekh
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Patent number: 8909950Abstract: A method for power management comprising inferring a user behavior from an action, inferring a mission state from the action and an event, forecasting a forecasted action from the user behavior and the mission state and outputting an instruction to modify a power resource allocation based on the forecasted action. A processor based assembly for power management of at least one device comprising a means to infer a user behavior from an action, a means to infer a mission state from the action and an event, a means to forecast and a means to plan power management from the inferred information. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.Type: GrantFiled: April 18, 2011Date of Patent: December 9, 2014Assignee: Aptima, Inc.Inventors: Georgiy Levchuk, Nathan Schurr, Darby E. Hering, Mitch Zakin
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Publication number: 20140278833Abstract: Systems and methods to provide a training solution for a trainee are disclosed. In some embodiments the method comprises receiving a training requirement comprising a training outcome and a training configuration wherein the training configuration defines a trainee state, determining a training environment based on a relevancy function of the training environment to the training outcome, determining a training content based on a relationship function of the training content to the trainee state and determining a training solution comprising the training environment and the training content. In some embodiments, the relationship function comprises a POMDP model and the relevancy function comprises a best fit curve.Type: ApplicationFiled: March 13, 2014Publication date: September 18, 2014Applicant: APTIMA, INC.Inventors: Leah Swanson, Kristy Reynolds, Michael Garrity, Tiffany Poeppelman, Michael Keeney, Alan Carlin, Danielle Dumond, Yale Marc
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Patent number: 8781989Abstract: Embodiments of the present invention include methods and systems for predicting the likelihood of topics appearing in a set of data such as text. A number of latent variable methods are used to convert the data into a set of topics, topic values and topic profiles. A number of time-course methods are used to model how topic values change given previous topic profiles, or to find historical times with similar topic values and then projecting the topic profile forward from that historical time to predict the likelihood of the topics appearing. Embodiments include utilizing focus topics, such as valence topics, and data representing financial measures to predict the likelihood of topics. Methods and systems for modeling data and predicting the likelihood of topics over other dimensions are also contemplated.Type: GrantFiled: January 9, 2011Date of Patent: July 15, 2014Assignee: Aptima, Inc.Inventor: Andrew P. Duchon
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Publication number: 20140195475Abstract: Embodiments of this invention comprise modeling a subject's state and the influence of training treatments, or actions, on that state to create a training policy. Both state and effects of actions are modeled as probabilistic using Partially Observable Markov Decision Process (POMDP) techniques. Utilizing this model and the resulting training policy with subjects creates an effective decision aid for instructors to improve learning relative to a traditional scenario selection strategy.Type: ApplicationFiled: December 30, 2013Publication date: July 10, 2014Applicants: WRIGHT STATE UNIVERSITY, APTIMA, INC.Inventors: Georgiy Levchuk, Jared Freeman, Wayne Shebilske
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Patent number: 8744992Abstract: Embodiments of the present invention include methods and systems for predicting the likelihood of topics appearing in a set of data such as text. A number of latent variable methods are used to convert the data into a set of topics, topic values and topic profiles. A number of time-course methods are used to model how topic values change given previous topic profiles, or to find historical times with similar topic values and then projecting the topic profile forward from that historical time to predict the likelihood of the topics appearing. Embodiments include utilizing focus topics, such as valence topics, and data representing financial measures to predict the likelihood of topics. Methods and systems for modeling data and predicting the likelihood of topics over other dimensions are also contemplated.Type: GrantFiled: January 9, 2011Date of Patent: June 3, 2014Assignee: Aptima, Inc.Inventor: Andrew P. Duchon
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Publication number: 20140109113Abstract: Processor based systems and methods of defining a scenario event comprising the steps of identifying an event having an event attribute and generalizing the event attribute to define a generalized event whereby the generalized event is the scenario event. In some embodiments, the steps further comprise identifying a first and second event, generalizing a first and second event attribute to define a first and second generalized event and connecting the first and second generalized event in a continuous envelope to create a scenario envelope. Also disclosed are processor based systems and methods of monitoring an activity comprising the steps of monitoring an activity having an activity attribute and comparing the activity attribute to an event envelope to determine a status of the activity relative to the event envelope.Type: ApplicationFiled: May 9, 2012Publication date: April 17, 2014Applicant: APTIMA, INC.Inventors: E. Webb Stacy, Kevin Sullivan, Paul Picciano, Can Keskin
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Patent number: 8655822Abstract: Embodiments of this invention comprise modeling a subject's state and the influence of training scenarios, or actions, on that state to create a training policy. Both state and effects of actions are modeled as probabilistic using Partially Observable Markov Decision Process (POMDP) techniques. The POMDP is well suited to decision-theoretic planning under uncertainty. Utilizing this model and the resulting training policy with real world subjects creates a surprisingly effective decision aid for instructors to improve learning relative to a traditional scenario selection strategy. POMDP provides a more valid representation of trainee state and training effects, thus it is capable of producing more valid recommendations concerning how to structure training to subjects.Type: GrantFiled: March 11, 2009Date of Patent: February 18, 2014Assignees: Aptima, Inc., Wright State UniversityInventors: Georgiy Levchuk, Jared Freeman, Wayne Shebilske
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Patent number: 8407173Abstract: Embodiments of the disclosed systems and methods establish quantitative relationships between system features and system objectives. In some embodiments, the features have a plurality of feature values related to the objective and the methods comprise analyzing a mathematical functional relationship between the plurality of feature values and the objective to create a plurality of objective values reflecting the ability of the feature values to satisfy the objective, selecting a feature value and analyzing the relationship to create an objective value; and generating an objective measure reflecting the objective value. In some embodiments, the mathematical function comprises a polynomial interpolation. In some embodiments, the features are a fidelity dimension and the feature values are values of fidelity in a processor based aircraft simulator.Type: GrantFiled: October 3, 2008Date of Patent: March 26, 2013Assignee: Aptima, Inc.Inventors: Jamie L. Estock, Robert K. McCormack, Emily K M Stelzer, Kathryn Engel, Amy Alexander Horrey