Abstract: A system and method for operation of an autonomous vehicle (AV) yard truck is provided. A processor facilitates autonomous movement of the AV yard truck, and connection to and disconnection from trailers. A plurality of sensors are interconnected with the processor that sense terrain/objects and assist in automatically connecting/disconnecting trailers. A server, interconnected, wirelessly with the processor, that tracks movement of the truck around and determines locations for trailer connection and disconnection. A door station unlatches/opens rear doors of the trailer when adjacent thereto, securing them in an opened position via clamps, etc. The system computes a height of the trailer, and/or if landing gear of the trailer is on the ground and interoperates with the fifth wheel to change height, and whether docking is safe, allowing a user to take manual control, and optimum charge time(s). Reversing sensors/safety, automated chocking, and intermodal container organization are also provided.

Abstract: An acoustic system is disclosed. The acoustic system includes a sound absorptive substrate, and a rigid polyester shell configured to be positioned over the sound absorptive substrate. The rigid polyester shell is configured to be mounted on an interior surface of a building such that at least some sound waves pass through the rigid polyester shell. The shell is configured to provide aesthetic features to the acoustic system.

Abstract: A computer system displays a representation of a field of view of the one or more cameras, including a representation of a portion of a three-dimensional physical environment that is in the field of view of the one or more cameras. The computer system receives a request to add a first virtual effect to the displayed representation of the field of view of the one or more cameras. In response to receiving the request to add the first virtual effect to the displayed representation of the field of view of the one or more cameras and in accordance with a determination that the first virtual effect requires a scan of the physical environment, the computer system initiates a scan of the physical environment to detect one or more features of the physical environment and displays a user interface that indicates a progress of the scan of the physical environment.

Abstract: Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

Abstract: A method of operating a gas turbine engine including an engine core including a turbine, compressor, combustor to combust a fuel, and core shaft connecting the turbine and compressor; a fan upstream of the engine core; a fan shaft; a gearbox that receives an input from the core shaft and outputs drive to the fan via the fan shaft; a primary oil loop system to supply oil to the gearbox; and a heat exchange system. The method includes controlling the heat exchange system to adjust fuel viscosity to be lower than or equal to 0.58 mm2/s on entry to the combustor at cruise conditions.

Abstract: An inventory tracking system includes an analytic device communicatively connected with a plurality of data sources and a field device. The analytic device includes a processor configured to, in response to determining based on input data from at least one of the plurality of data sources that a criteria for issuing a planogram (POG) void alert has been met, cause the field device to display a notification indicative of the POG void alert, and, in response to determining based on data indicating user input to the field device that the issued POG void alert was invalid, update the criteria for issuing the POG void alert, such that a subsequent POG void alert is issued according to the updated criteria.

Abstract: A solar tracking system is provided and includes a solar array, a plurality of support beams configured to support the solar array, a torque tube coupled to the plurality of support beams, a base configured to rotatably support the torque tube, and an articulation system configured to rotate the torque tube relative to the base. The articulation system includes a first helical tube coupled to the torque tube, a first helical tube support disposed on the base and configured to slidably support the first helical tube, and a gearbox in mechanical communication with the first helical tube. Actuation of the gearbox causes the first helical tube to translate within the first helical tube support and the first helical tube support is configured to rotate the first helical tube as the first helical tube is translated therein to cause a corresponding rotation of the solar array.

Abstract: An inventory tracking system includes an analytic device communicatively connected with a plurality of data sources and a field device. The analytic device includes a processor configured to, in response to determining based on input data from at least one of the plurality of data sources that a criteria for issuing a planogram (POG) void alert has been met, cause the field device to display a notification indicative of the POG void alert, and, in response to determining based on data indicating user input to the field device that the issued POG void alert was invalid, update the criteria for issuing the POG void alert, such that a subsequent POG void alert is issued according to the updated criteria.

Abstract: A solar tracking system is provided and includes a solar array, a plurality of support beams configured to support the solar array, a torque tube coupled to the plurality of support beams, a base configured to rotatably support the torque tube, and an articulation system configured to rotate the torque tube relative to the base. The articulation system includes a first helical tube coupled to the torque tube, a first helical tube support disposed on the base and configured to slidably support the first helical tube, and a gearbox in mechanical communication with the first helical tube. Actuation of the gearbox causes the first helical tube to translate within the first helical tube support and the first helical tube support is configured to rotate the first helical tube as the first helical tube is translated therein to cause a corresponding rotation of the solar array.

Abstract: A packaging system including a corrugated cardboard box having a vertical compartmented insert nested within the box, wherein the first vertical compartmented insert comprises a rectangular vertical array of interior dividing walls to form rectangular compartments. The insert comprises a back-to-back long support insert extending along a length of the corrugated cardboard box to form a longitudinal vertical wall, the long support insert having interlocking cutouts. A plurality of pairs of short support inserts, assembled back-to-back and each having interlocking cutouts that register with the cutouts of the long support insert are arrayed perpendicularly to the pair of long support inserts to form a plurality of lateral walls. The long support inserts and the short support inserts create vertical walls with compartments there between.

Abstract: A random k-nearest neighbors (RKNN) approach may be used for regression/classification model wherein the input includes the k closest training examples in the feature space. The RKNN process may utilize video images as input in order to predict motor command for controlling navigation of a robot. In some implementations of robotic vision based navigation, the input space may be highly dimensional and highly redundant. When visual inputs are augmented with data of another modality that is characterized by fewer dimensions (e.g., audio), the visual data may overwhelm lower-dimension data. The RKNN process may partition available data into subsets comprising a given number of samples from the lower-dimension data. Outputs associated with individual subsets may be combined (e.g., averaged). Selection of number of neighbors, subset size and/or number of subsets may be used to trade-off between speed and accuracy of the prediction.

Abstract: A packaging system for a corrugated cardboard shipping container. The system uses two vertical compartmented inserts divided by a horizontal insert. The compartmented insert can be configured by a packer to consist of four to two rectangular compartments. The horizontal insert can be folded in half or have a quarter section folded away in order to accommodate a loading plan that requires items to protrude above the height of the bottom vertical compartmented insert. An optional diagonal divider and dunnage may be used prior to sealing the container.

Abstract: A packaging system for a corrugated cardboard shipping container. The system uses two vertical compartmented inserts divided by a horizontal insert. The compartmented insert can be configured by a packer to consist of four to two rectangular compartments. The horizontal insert can be folded in half or have a quarter section folded away in order to accommodate a loading plan that requires items to protrude above the height of the bottom vertical compartmented insert. An optional diagonal divider and dunnage may be used prior to sealing the container.

Abstract: A random k-nearest neighbors (RKNN) approach may be used for regression/classification model wherein the input includes the k closest training examples in the feature space. The RKNN process may utilize video images as input in order to predict motor command for controlling navigation of a robot. In some implementations of robotic vision based navigation, the input space may be highly dimensional and highly redundant. When visual inputs are augmented with data of another modality that is characterized by fewer dimensions (e.g., audio), the visual data may overwhelm lower-dimension data. The RKNN process may partition available data into subsets comprising a given number of samples from the lower-dimension data. Outputs associated with individual subsets may be combined (e.g., averaged). Selection of number of neighbors, subset size and/or number of subsets may be used to trade-off between speed and accuracy of the prediction.