Abstract: An excavation vehicle capable of autonomously actuating an excavation tool or navigating an excavation vehicle to perform an excavation routine within an excavation site is described herein. Sensors mounted to the excavation vehicle and the excavation tool produce signals representative of a position and orientation of the corresponding joint relative on the excavation vehicle relative to the excavation site, a position and orientation of the excavation vehicle relative to the excavation site, and one or more features of the excavation site based on the position of the excavation vehicle within the excavation site. A set of solenoids are configured to couple to corresponding hydraulic valves of the excavation tool to actuate the valve. A controller produces actuating signals to control the joints of the excavation tool to autonomously perform the excavation routine based on the signals produced by the sensors.

Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.

Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.

Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data from a mobile device operated by a target user. From the sequences of motion data, the identity verification system identifies a plurality of identity blocks representing different movements performed by the target user and encodes a set of signature sequences from each identity block into a feature vector. Each feature vector is input to a confidence model to output an identity confidence value for an identity block. An identity confidence value describes a confidence that the movement in the identity block was performed by the target user. The identity confidence value is compared to an operational security threshold and if identity confidence value is above the threshold, the target user is granted access to an operational context.

Abstract: A computer-implemented method for detecting anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) applying a first plurality of algorithms to determine features of the data which may contribute to anomalous behavior of the computers, and (3) applying a second plurality of algorithms to determine which computers are behaving anomalously based upon the features.

Abstract: Systems and methods for analyzing image data to automatically ensure image capture consistency are described. According to certain aspects, a server may access aerial and other image data and identify a set of parameters associated with the capture of the image data. The server may access a corresponding set of acceptable image capture parameters, and may compare the set of parameters to the set of acceptable parameters to determine whether image data is consistent with the set of acceptable parameters. In some embodiments, if the image data is not consistent, the server may generate a notification or instruction to cause an image capture component to recapture additional image data.

Abstract: A system and method are disclosed for identifying a user based on the classification of user movement data. An identity verification system receives a sequence of motion data from a mobile device operated by a target user. From the sequences of motion data, the identity verification system identifies a plurality of identity blocks representing different movements performed by the target user and encodes a set of signature sequences from each identity block into a feature vector. Each feature vector is input to a confidence model to output an identity confidence value for an identity block. An identity confidence value describes a confidence that the movement in the identity block was performed by the target user. The identity confidence value is compared to an operational security threshold and if identity confidence value is above the threshold, the target user is granted access to an operational context.

Abstract: One or more processing elements may be trained to identify vehicle damages or vehicle damages based upon training data. A remotely-controlled (RC) and/or autonomously operated inspection device, such as a ground vehicle or drone, may capture one or more sets of imaging data indicative of at least a portion of an automotive vehicle, such as all or a portion of the undercarriage. The one or more sets of imaging data may be analyzed using the trained processing elements to identify a damage to the vehicle or defect of the vehicle.

Abstract: A piston comprises a crown portion with a contoured bowl having a reentrant surface extending from the top squish surface that connects to a lower sidewall surface that connects to a swirl pocket surface disposed adjacent the bottom bowl surface.

Abstract: A computer-implemented method for identifying a property usage type based upon sensor data includes, with customer permission or affirmative consent, receiving data generated by various sensors; generating a report that includes a listing of events recorded by each sensor; analyzing data from the report to determine a property usage type score; receiving data regarding types and levels of insurance coverage associated with the property usage type score; receiving data derived from a homeowner's insurance policy; comparing the types and levels of insurance coverage associated with the property usage type score with the types and levels of insurance coverage from the homeowner's current insurance policy; and transmitting a message to the homeowner to update their insurance policy if there are differences between (i) the insurance coverage that the homeowner has, and (ii) the insurance coverage the homeowner should have based upon the property usage type score.

Abstract: A piston comprises a crown portion with a contoured bowl having a reentrant surface extending from the top squish surface that connects to a lower sidewall surface that connects to a swirl pocket surface disposed adjacent the bottom bowl surface.

Abstract: A computer-implemented method for determining features of a dataset that are indicative of anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) executing a time series decomposition algorithm on a portion of the features of the data to generate a first list of features, (3) implementing a plurality of traffic dispersion graphs to generate a second list of features, and (4) implementing an autoencoder and a random forest regressor to generate a third list of features.

Abstract: A control system is provided for use with an engine. The control system may have a plurality of fuel valves, at least one sensor, a starter motor, and a controller in communication with the plurality of fuel valves, the at least one sensor, and the starter motor. The controller may be configured to set at least a first of the plurality of fuel valves to a first admission setting, to set at least a second of the plurality of fuel valves to a second admission setting different from the first admission setting, and to cause the starter motor to crank the engine. The controller may also be configured to determine, based on the signal, which one of the first and second admission settings results in combustion initiation during cranking, and to responsively set all of the plurality of fuel valves to the one of the first and second admission settings.

Abstract: A control system for an engine cylinder having a pre-chamber and a main chamber includes a pressure sensor being provided in the pre-chamber, and a processor coupled to the pressure sensor. The processor is configured to measure pre-chamber pressure using the pressure sensor, determine a peak pre-chamber pressure from the measured pre-chamber pressure, calculate an estimated main chamber pressure corresponding to the peak pre-chamber pressure from at least one cylinder condition at ignition, calculate a pressure ratio of the peak pre-chamber pressure to the estimated main chamber pressure, calculate a fuel parameter for at least one of the pre-chamber and main chamber from the pressure ratio to achieve a desired pressure ratio, and generate a control signal to provide fuel to at least one of the pre-chamber and main chamber in accordance with the fuel parameter.

Abstract: A method and system for observing and monitoring thermal characteristics of a machining operation, such as a surface finishing operation, performed on a workpiece is disclosed. The surface finishing operation can be performed on the workpiece in order to remove a surface defect, e.g. a parting line, on a surface of the workpiece and/or to provide a mirror-like finish to the workpiece. In one embodiment, an emissive layer is applied to the workpiece to increase a thermal emissivity of the workpiece. In some embodiments, a finishing surface, such as a polishing or buffing wheel, and/or a lubricant used in a finishing operation is monitored. A thermal profile of the surface of the workpiece, finishing surface and/or lubricant can be obtained. The finishing operation can be modified in response to the monitored thermal characteristics to prevent the occurrence of defects and improve the efficacy of the finishing operation.

Abstract: Aspects of the present disclosure involve an intelligent ordering and delivery system. An internet-based device is used to request delivery of an object or item at a specific location. An internet-of-things robot processes the request and automatically delivers the object or item to the specified location.

Abstract: A control system is provided for use with an engine. The control system may have a plurality of fuel valves, at least one sensor, a starter motor, and a controller in communication with the plurality of fuel valves, the at least one sensor, and the starter motor. The controller may be configured to set at least a first of the plurality of fuel valves to a first admission setting, to set at least a second of the plurality of fuel valves to a second admission setting different from the first admission setting, and to cause the starter motor to crank the engine. The controller may also be configured to determine, based on the signal, which one of the first and second admission settings results in combustion initiation during cranking, and to responsively set all of the plurality of fuel valves to the one of the first and second admission settings.

Abstract: The disclosed embodiments relate to using a plenoptic camera in a manufacturing system for various imaging operations. The embodiments include calculating a distance of a manufactured part from a light source or plenoptic camera for further use by a robotic device in the manufacturing system. The embodiments further include compiling a composite two-dimensional or three-dimensional image of a manufactured part in order to derive dimensions of the manufactured part for use by the manufacturing system. Additionally, the embodiments include performing a profile analysis of a surface of a manufactured part based on image data captured by the plenoptic camera. Furthermore, the embodiments discussed herein can be performed on a still or moving manufactured part in order to optimize one or more manufacturing processes.

Abstract: Systems and methods are disclosed for an automatic fluid composition sensor. A fluid composition sensor includes a plurality of detection elements positioned along a length of a sample chamber having a number of material interfaces, the fluid composition sensor detecting location(s) of the interface(s) and/or a composition of one or more of the materials within the chamber. A fluid level sensor generates one or more pulses and measures a time delay between a transmission of the pulses from a source and a reception of the reflected pulses from a gas/oil interface to estimate a position of the oil/gas interface and thus a height of the oil in an oil well.

Abstract: A method and system for observing and monitoring thermal characteristics of a machining operation, such as a surface finishing operation, performed on a workpiece is disclosed. The surface finishing operation can be performed on the workpiece in order to remove a surface defect, e.g. a parting line, on a surface of the workpiece and/or to provide a mirror-like finish to the workpiece. In one embodiment, an emissive layer is applied to the workpiece to increase a thermal emissivity of the workpiece. In some embodiments, a finishing surface, such as a polishing or buffing wheel, and/or a lubricant used in a finishing operation is monitored. A thermal profile of the surface of the workpiece, finishing surface and/or lubricant can be obtained. The finishing operation can be modified in response to the monitored thermal characteristics to prevent the occurrence of defects and improve the efficacy of the finishing operation.