Abstract: A decision engine includes: a genetic algorithm framework including a knowledge base of standard configurations, a candidate selector generator and a selector to select a candidate configuration from a plurality of preferred standard configurations in response to the candidate selector generator; a parallelized reasoning framework including an attack surface reasoning algorithm module to compute the security and cost tradeoffs of an attack surface associated with each candidate configuration; and a user interface framework including a web service engine where users can interact and provide feedback on direction of an evolution used in a genetic algorithm search for evolving defenses.

Abstract: A decision engine includes: a genetic algorithm framework including a knowledge base of standard configurations, a candidate selector generator and a selector to select a candidate configuration from a plurality of preferred standard configurations in response to the candidate selector generator; a parallelized reasoning framework including an attack surface reasoning algorithm module to compute the security and cost tradeoffs of an attack surface associated with each candidate configuration; and a user interface framework including a web service engine where users can interact and provide feedback on direction of an evolution used in a genetic algorithm search for evolving defenses.

Abstract: A decision engine includes: a genetic algorithm framework including a knowledge base of standard configurations, a candidate selector generator and a selector to select a candidate configuration from a plurality of preferred standard configurations in response to the candidate selector generator; a parallelized reasoning framework including an attack surface reasoning algorithm module to compute the security and cost tradeoffs of an attack surface associated with each candidate configuration; and a user interface framework including a web service engine where users can interact and provide feedback on direction of an evolution used in a genetic algorithm search for evolving defenses.

Abstract: A decision engine includes: a genetic algorithm framework including a knowledge base of standard configurations, a candidate selector generator and a selector to select a candidate configuration from a plurality of preferred standard configurations in response to the candidate selector generator; a parallelized reasoning framework including an attack surface reasoning algorithm module to compute the security and cost tradeoffs of an attack surface associated with each candidate configuration; and a user interface framework including a web service engine where users can interact and provide feedback on direction of an evolution used in a genetic algorithm search for evolving defenses.

Abstract: A system and method for deploying software agents in a policy-governed environment. The use of over-arching policies to control the actions and interactions of the software agents preserves desirable agent autonomy without allowing unwanted and potentially unpredictable (or at least difficult-to-predict) agent behavior. The system allows the agents to be deployed in a high-assurance environment.

Abstract: A decision engine includes: a genetic algorithm framework including a knowledge base of standard configurations, a candidate selector generator and a selector to select a candidate configuration from a plurality of preferred standard configurations in response to the candidate selector generator; a parallelized reasoning framework including an attack surface reasoning algorithm module to compute the security and cost tradeoffs of an attack surface associated with each candidate configuration; and a user interface framework including a web service engine where users can interact and provide feedback on direction of an evolution used in a genetic algorithm search for evolving defenses.

Abstract: A decision engine includes: a genetic algorithm framework including a knowledge base of standard configurations, a candidate selector generator and a selector to select a candidate configuration from a plurality of preferred standard configurations in response to the candidate selector generator; a parallelized reasoning framework including an attack surface reasoning algorithm module to compute the security and cost tradeoffs of an attack surface associated with each candidate configuration; and a user interface framework including a web service engine where users can interact and provide feedback on direction of an evolution used in a genetic algorithm search for evolving defenses.

Abstract: An integrated flight instrument which provides unambiguous information regarding the motion of a hovering aircraft. The instrument accurately depicts motion in six degrees of freedom (roll, pitch, yaw, forward translation, lateral translation, and vertical translation), as well as aircraft power requirements and utilization.

Abstract: A method for visually depicting complex events. Software agents are preferably employed to assist the human operator by collecting, enriching, selecting, aggregating, and analyzing data so that patterns of interest can be visually flagged or otherwise emphasized in the visual display. Events are depicted as an “event flow” from a source surface to a destination surface. Intervening surfaces may also be defined. The point of origin on the source surface reveals some information about the event flow, as does the point of impact on the destination surface. The event flow may be mapped to one or more intervening surfaces in order to visually depict other characteristics of the event. The entire depiction is rendered in a simulated three-dimensional view. The user is preferably given the ability to pan, zoom, and reorient the vantage point from which the user “views” the depiction on the computer display.

Abstract: A method for visually depicting complex events. Software agents are preferably employed to assist the human operator by collecting, enriching, selecting, aggregating, and analyzing data so that patterns of interest can be visually flagged or otherwise emphasized in the visual display. Events are depicted as an “event flow” from a source surface to a destination surface. Intervening surfaces may also be defined. The point of origin on the source surface reveals some information about the event flow, as does the point of impact on the destination surface. The event flow may be mapped to one or more intervening surfaces in order to visually depict other characteristics of the event. The entire depiction is rendered in a simulated three-dimensional view. The user is preferably given the ability to pan, zoom, and reorient the vantage point from which the user “views” the depiction on the computer display.

Abstract: An integrated flight instrument which provides unambiguous information regarding the motion of a hovering aircraft. The instrument accurately depicts motion in six degrees of freedom (roll, pitch, yaw, forward translation, lateral translation, and vertical translation), as well as aircraft power requirements and utilization.

Abstract: A system and method for object inspection that includes an image recognition program stored on a tangible medium for classifying and subclassifying regions of interest on an image. The image recognition program can be used in an image inspection system to determine defects on objects such as printed wiring assemblies. The image recognition program is executable to collect raw image data, segment out rectangular regions of interest that can be component sites defined by CAD data, preprocess each region of interest by scaling, gain and offset correction, and gamma correction, generating a set of image spaces for each region of interest using a set of spatial image transforms, generating features on the image spaces, scoring the features, comparing the feature scores to a knowledge base of feature scores to make a class determination for the features, generating a presence/absence decision confidence for the features, calculating a class determination and decision confidence for each region of interest.

Abstract: A system and method for object inspection that includes an image recognition program stored on a tangible medium for classifying and subclassifying regions of interest on an image. The image recognition program can be used in an image inspection system to determine defects on objects such as printed wiring assemblies. The image recognition program is executable to collect raw image data, segment out rectangular regions of interest that can be component sites defined by CAD data, preprocess each region of interest by scaling, gain and offset correction, and gamma correction, generating a set of image spaces for each region of interest using a set of spatial image transforms, generating features on the image spaces, scoring the features, comparing the feature scores to a knowledge base of feature scores to make a class determination for the features, generating a presence/absence decision confidence for the features, calculating a class determination and decision confidence for each region of interest.

Abstract: A system and method for object inspection that includes an image recognition program stored on a tangible medium for classifying and subclassifying regions of interest on an image. The image recognition program can be used in an image inspection system to determine defects on objects such as printed wiring assemblies. The image recognition program is executable to collect raw image data, segment out rectangular regions of interest that can be component sites defined by CAD data, preprocess each region of interest by scaling, gain and offset correction, and gamma correction, generating a set of image spaces for each region of interest using a set of spatial image transforms, generating features on the image spaces, scoring the features, comparing the feature scores to a knowledge base of feature scores to make a class determination for the features, generating a presence/absence decision confidence for the features, calculating a class determination and decision confidence for each region of interest.

Abstract: A system and method for performing basic training in a dynamic image recognition system, including collecting raw image data on a blank object, segmenting out a region of interest on the object, performing spatial image transforms to generate a set of derived spaces for the region of interest, generating a set of presence/absence features for the object by creating a set of presence/absence features, representing each significant presence/absence feature as one or more presence/absence boxes, building a blank object presence/absence score set, building an assembled board presence/absence score set, building a presence/absence knowledge base using the blank object presence/absence score set and the assembled object presence absence score set, and pruning each presence/absence box. The system and method further includes generating a set of polarity features from a first assembled object.

Abstract: A user interface method and system are disclosed that allow for user selection on a display device of one or more functions performed via a computer in an automated optical inspection system. The user interface provides a real-time information display that makes apparent critical board inspection information and potential undesirable operating conditions so that corrective action can be rapidly initiated. The user interface includes one or more button icons respectively associated with the user selectable functions and at least one view area window for displaying information items. The information items displayed in a view window can be dynamically linked to provide interactivity between windows and simultaneous updating of related information items in all windows. A filter area window is used for selecting which information items to discriminate and display in the view windows.

Abstract: A system and method for object inspection that includes an image recognition program stored on a tangible medium for classifying and subclassifying regions of interest on an image. The image recognition program can be used in an image inspection system to determine defects on objects such as printed wiring assemblies. The image recognition program is executable to collect raw image data, segment out rectangular regions of interest that can be component sites defined by CAD data, preprocess each region of interest by scaling, gain and offset correction, and gamma correction, generating a set of image spaces for each region of interest using a set of spatial image transforms, generating features on the image spaces, scoring the features, comparing the feature scores to a knowledge base of feature scores to make a class determination for the features, generating a presence/absence decision confidence for the features, calculating a class determination and decision confidence for each region of interest.

Abstract: A system and method for performing basic training in a dynamic image recognition system, including collecting raw image data on a blank object, segmenting out a region of interest on the object, performing spatial image transforms to generate a set of derived spaces for the region of interest, generating a set of presence/absence features for the object by creating a set of presence/absence features, representing each significant presence/absence feature as one or more presence/absence boxes, building a blank object presence/absence score set, building an assembled board presence/absence score set, building a presence/absence knowledge base using the blank object presence/absence score set and the assembled object presence absence score set, and pruning each presence/absence box. The system and method further includes generating a set of polarity features from a first assembled object.

Abstract: A system and method for object inspection that includes an image recognition program stored on a tangible medium for classifying and subclassifying regions of interest on an image. The image recognition program can be used in an image inspection system to determine defects on objects such as printed wiring assemblies. The image recognition program is executable to collect raw image data, segment out rectangular regions of interest that can be component sites defined by CAD data, preprocess each region of interest by scaling, gain and offset correction, and gamma correction, generating a set of image spaces for each region of interest using a set of spatial image transforms, generating features on the image spaces, scoring the features, comparing the feature scores to a knowledge base of feature scores to make a class determination for the features, generating a presence/absence decision confidence for the features, calculating a class determination and decision confidence for each region of interest.

Abstract: A system and method for object inspection that includes an image recognition program stored on a tangible medium for classifying and subclassifying regions of interest on an image. The image recognition program can be used in an image inspection system to determine defects on objects such as printed wiring assemblies. The image recognition program is executable to collect raw image data, segment out rectangular regions of interest that can be component sites defined by CAD data, preprocess each region of interest by scaling, gain and offset correction, and gamma correction, generating a set of image spaces for each region of interest using a set of spatial image transforms, generating features on the image spaces, scoring the features, comparing the feature scores to a knowledge base of feature scores to make a class determination for the features, generating a presence/absence decision confidence for the features, calculating a class determination and decision confidence for each region of interest.