Abstract: Systems and methods for enhanced collection of training data for machine learning to improve worksite safety and operations. One embodiment is a system with an interface to instruct a user device of a user to capture first sensor data of an object performing one or more known actions. The system also includes a training controller to allocate points as an award to the user of the user device for correctly capturing the object performing the one or more known actions, and to generate an instruction for the user to capture second sensor data of the object performing one or more unknown actions if the user has exceeded a threshold of awarded points. The training controller trains a machine learning function based on the second sensor data of the object performing the one or more unknown actions as identified by the user having exceeded the threshold of awarded points.

Abstract: Systems and methods for enhanced collection of training data for machine learning to improve worksite safety and operations. One embodiment is a system with an interface to receive first evaluations of a first scene from a group of trainees, the first scene belonging to safety curriculum content and depicting a worksite with a known hazard that is associated in memory with a hazard profile. The system includes a controller to determine a trusted subgroup of the trainees that correctly identified the known hazard in the first scene. The interface receives second evaluations of a second scene from the trusted subgroup of the trainees that depicts the worksite with an unknown hazard. The controller trains a machine learning function based on the second evaluations from the trusted subgroup of the trainees for automatic identification of hazard indications in the second scene depicting the worksite with the unknown hazard.

Abstract: An example method of performing maintenance on an aircraft includes receiving a vehicle data-signature-map of an interior of an aircraft for at least one parameter of the aircraft, and the vehicle data-signature-map is based on sensor outputs received from sensors of mobile devices positioned at locations in the interior of the aircraft.

Abstract: An example real-time ad hoc network sensor system includes a plurality of sensors positioned at fixed locations on an aircraft, a plurality of mobile devices in an interior of the aircraft, and a computing device having one or more processors and a non-transitory computer readable medium having stored thereon instructions, that when executed by the one or more processors, cause the computing device to perform functions including receiving outputs from the plurality of sensors and from the sensors of the plurality of mobile devices during the flight of the aircraft, mapping the outputs to a computer model of the aircraft for association with locations in the interior of the aircraft, and based on the mapping, creating a vehicle data-signature-map of the interior of the aircraft for at least one parameter of the aircraft.

Abstract: A system and method includes a data sensor providing sensor data. A database is configured to store the sensor data over time in rows of a table. A processor is configured to convert the table into a temporal format and collapse the rows in a temporal table. The temporal data can be normalized, and the normalized temporal data can be natively analyzed over normalized time periods, e.g., to improve an efficiency and/or accuracy of the analysis. The systems and methods can also be used to efficiently inter-operate with non-temporal data as needed.

Abstract: Systems and methods for enhanced collection of training data for machine learning to improve worksite safety and operations. One embodiment is a system with an interface to receive first evaluations of a first scene from a group of trainees, the first scene belonging to safety curriculum content and depicting a worksite with a known hazard that is associated in memory with a hazard profile. The system includes a controller to determine a trusted subgroup of the trainees that correctly identified the known hazard in the first scene. The interface receives second evaluations of a second scene from the trusted subgroup of the trainees that depicts the worksite with an unknown hazard. The controller trains a machine learning function based on the second evaluations from the trusted subgroup of the trainees for automatic identification of hazard indications in the second scene depicting the worksite with the unknown hazard.

Abstract: Systems and methods for enhanced collection of training data for machine learning to improve worksite safety and operations. One embodiment is a system with an interface to instruct a user device of a user to capture first sensor data of an object performing one or more known actions. The system also includes a training controller to allocate points as an award to the user of the user device for correctly capturing the object performing the one or more known actions, and to generate an instruction for the user to capture second sensor data of the object performing one or more unknown actions if the user has exceeded a threshold of awarded points. The training controller trains a machine learning function based on the second sensor data of the object performing the one or more unknown actions as identified by the user having exceeded the threshold of awarded points.

Abstract: An example real-time ad hoc network sensor system includes a plurality of sensors positioned at fixed locations on an aircraft, a plurality of mobile devices in an interior of the aircraft, and a computing device having one or more processors and a non-transitory computer readable medium having stored thereon instructions, that when executed by the one or more processors, cause the computing device to perform functions including receiving outputs from the plurality of sensors and from the sensors of the plurality of mobile devices during the flight of the aircraft, mapping the outputs to a computer model of the aircraft for association with locations in the interior of the aircraft, and based on the mapping, creating a vehicle data-signature-map of the interior of the aircraft for at least one parameter of the aircraft.

Abstract: An example method of performing maintenance on an aircraft includes receiving a vehicle data-signature-map of an interior of an aircraft for at least one parameter of the aircraft, and the vehicle data-signature-map is based on sensor outputs received from sensors of mobile devices positioned at locations in the interior of the aircraft.

Abstract: A system and method includes a data sensor providing sensor data. A database is configured to store the sensor data over time in rows of a table. A processor is configured to convert the table into a temporal format and collapse the rows in a temporal table. The temporal data can be normalized, and the normalized temporal data can be natively analyzed over normalized time periods, e.g., to improve an efficiency and/or accuracy of the analysis. The systems and methods can also be used to efficiently inter-operate with non-temporal data as needed.

Abstract: A system and method includes a data sensor providing sensor data. A database is configured to store the sensor data over time in rows of a table. A processor is configured to convert the table into a temporal format and collapse the rows in a temporal table. The temporal data can be normalized, and the normalized temporal data can be natively analyzed over normalized time periods, e.g., to improve an efficiency and/or accuracy of the analysis. The systems and methods can also be used to efficiently inter-operate with non-temporal data as needed.

Abstract: Systems and methods for a cyber security system with adaptive machine learning features. One embodiment is a system that includes a server configured to manage a plurality of user devices over a network, and a user device that includes an interface and a processor. The interface is configured to communicate with the server over the network, and the processor implements a machine learning function configured to monitor user interactions with the user device over time to establish a use profile, to detect anomalous use of the user device based on a variance from the use profile, to determine whether the anomalous use is representative of a security threat, and to instruct the user device to perform one or more automatic actions to respond to the security threat.

Abstract: Systems and methods for a cyber security system with adaptive machine learning features. One embodiment is a system that includes a server configured to manage a plurality of user devices over a network, and a user device that includes an interface and a processor. The interface is configured to communicate with the server over the network, and the processor implements a machine learning function configured to monitor user interactions with the user device over time to establish a use profile, to detect anomalous use of the user device based on a variance from the use profile, to determine whether the anomalous use is representative of a security threat, and to instruct the user device to perform one or more automatic actions to respond to the security threat.

Abstract: A system is provided that includes sensor(s) configured to provide sensed input including measurements of motion of a user during performance of a task, and in which the motion may include a gesture performed in one of a plurality of 3D zones in an environment of the user that are defined to accept respective, distinct gestures. A front-end system may receive and process the sensed input including the measurements to identify the gesture and from the gesture, identify operations of an electronic resource. The front-end system may identify the gesture based on the one of the plurality of 3D zones in which the gesture is performed. The front-end system may then form and communicate an input to cause the electronic resource to perform the operations and produce an output. And the front-end system may receive the output from the electronic resource, and communicate the output to a display device.

Abstract: A system and method includes a data sensor providing sensor data. A database is configured to store the sensor data over time in rows of a table. A processor is configured to convert the table into a temporal format and collapse the rows in a temporal table. The temporal data can be normalized, and the normalized temporal data can be natively analyzed over normalized time periods, e.g., to improve an efficiency and/or accuracy of the analysis. The systems and methods can also be used to efficiently inter-operate with non-temporal data as needed.

Abstract: A selectively reflective construct, and a method for making the construct, are described. In one embodiment reflectance, transmission and absorption properties may be controlled in multiple electromagnetic bands. A construct is described comprising a) a thermally transparent, visually opaque substrate comprising a polymeric material and a colorant, and b) a thermally reflective layer comprising a low emissivity component which is optionally transparent to radar signal.

Abstract: Laminated articles that include a first textile and a functional film layer bonded together by an adhesive layer having a non-uniform adhesive pattern is provided. The non-uniform adhesive pattern creates regions free or substantially free of adhesive that permits the laminate to preferentially bend in those regions. The adhesive regions, together with the non-adhesive regions, create a visible pattern on the surface of the laminate. A second textile may optionally be bonded to the functional film layer opposing the first textile by an adhesive. The first textile or the film layer may be elastic, shrinkable, or expandable. In such embodiments, raised portions of the laminate corresponding to the non-adhesive regions and curled portions corresponding to the adhesive regions are visible. The laminated article is waterproof, liquid-proof, breathable, and aesthetically pleasing and demonstrates a reduction in stiffness, improved insulation properties, and a reduction of noise associated with bending the article.

Abstract: Multi-layered articles that include a first textile and an adhesive layer having a non-uniform adhesive pattern is provided. The non-uniform adhesive pattern creates regions free or substantially free of adhesive. The adhesive regions, together with the non-adhesive regions, create a visible pattern on the surface of the article. A second textile may optionally be bonded to the adhesive opposing the first textile to form a multi-layered article. The first textile or adhesive layer may be shrinkable or expandable. Additionally, the multi-layered article has a stretch force at 20% elongation of less than three times the stretch force of the first textile at 20% elongation. The multi-layered articles are breathable, insulative, aesthetically pleasing, and demonstrate superior stretch and recovery properties.

Abstract: Laminated articles that include a first textile and a functional film layer bonded together by an adhesive layer having a non-uniform adhesive pattern is provided. The non-uniform adhesive pattern creates regions free or substantially free of adhesive that permits the laminate to preferentially bend in those regions. The adhesive regions, together with the non-adhesive regions, create a visible pattern on the surface of the laminate. A second textile may optionally be bonded to the functional film layer opposing the first textile by an adhesive. The first textile or the film layer may be elastic, shrinkable, or expandable. In such embodiments, raised portions of the laminate corresponding to the non-adhesive regions and curled portions corresponding to the adhesive regions are visible.

Abstract: A selectively reflective construct, and a method for making the construct, are described. In one embodiment reflectance, transmission and absorption properties may be controlled in multiple electromagnetic bands. A construct is described comprising a) a thermally transparent, visually opaque substrate comprising a polymeric material and a colorant, and b) a thermally reflective layer comprising a low emissivity component.