Abstract: Embodiments relate to an off-road vehicle comprising a frame, including at least one cargo box support member, a suspension movably coupled to the frame, a passenger compartment, an engine, a transmission operatively coupled to the engine, and a cargo box. The cargo box includes a floor and a plurality of upwardly extending sidewalls, wherein at least a portion of the cargo box floor extends over the at least one cargo box support member and wherein the cargo box is removably coupled to the at least one cargo box support members and is removable from the off-road vehicle via the removal of fewer than eight fasteners.

Abstract: A computer monitors a status of grid devices using sensor measurements. Sensor data is clustered using a predefined grouping distance value to define one or more sensor event clusters. A plurality of monitored devices is clustered using a predefined clustering distance value to define one or more asset clusters. A location is associated with each monitored device of the plurality of monitored devices. A distance is computed between each sensor event cluster and each asset cluster. When the computed distance is less than or equal to a predefined asset/sensor distance value for a sensor event cluster and an asset cluster, an asset identifier of the asset cluster associated with the computed distance is added to an asset event list. For each asset cluster included in the asset event list, an asset location of an asset is shown on a map in a graphical user interface presented in a display.

Abstract: Embodiments relate to an off-road vehicle comprising a frame, including at least one cargo box support member, a suspension movably coupled to the frame, a passenger compartment, an engine, a transmission operatively coupled to the engine, and a cargo box. The cargo box includes a floor and a plurality of upwardly extending sidewalls, wherein at least a portion of the cargo box floor extends over the at least one cargo box support member and wherein the cargo box is removably coupled to the at least one cargo box support members and is removable from the off-road vehicle via the removal of fewer than eight fasteners.

Abstract: A automated tire chaining assembly includes a housing that is positioned above a respective one of a plurality of tires on a vehicle. A chain is formed into a closed loop and the chain extending through each of an entry and an exit of the housing. The chain is positionable in a deployed position having the chain being dropped downwardly around the respective tire to enhance traction of the tire on a slippery surface. A deploying unit is movably attached to the housing and the deploying unit engages the chain. The deploying unit urges the chain between the stored position and the deployed position. Additionally, the chain extends in front of the respective tire when the deploying unit urges the chain into the deployed position thereby facilitating the respective tire to roll over the chain.

Abstract: Embodiments relate to an off-road vehicle comprising a frame, including at least one cargo box support member, a suspension movably coupled to the frame, a passenger compartment, an engine, a transmission operatively coupled to the engine, and a cargo box. The cargo box includes a floor and a plurality of upwardly extending sidewalls, wherein at least a portion of the cargo box floor extends over the at least one cargo box support member and wherein the cargo box is removably coupled to the at least one cargo box support members and is removable from the off-road vehicle via the removal of fewer than eight fasteners.

Abstract: Operational events associated with a target physical device can be detected for mitigation by implementing some aspects described herein. For example, a system can apply a sliding window to received sensor measurements at successive time intervals to generate a set of data windows. The system can determine a set of eigenvectors associated with the set of data windows by performing principal component analysis on a set of data points in the set of data windows. The system can determine a set of angle changes between pairs of eigenvectors. The system can generate a measurement profile by executing an integral transform on the set of angle changes. One or more trained machine-learning models are configured to detect an operational event associated with the target physical device based on the measurement profile and generate an output indicating the operational event.

Abstract: A automated tire chaining assembly includes a housing that is positioned above a respective one of a plurality of tires on a vehicle. A chain is formed into a closed loop and the chain extending through each of an entry and an exit of the housing. The chain is positionable in a deployed position having the chain being dropped downwardly around the respective tire to enhance traction of the tire on a slippery surface. A deploying unit is movably attached to the housing and the deploying unit engages the chain. The deploying unit urges the chain between the stored position and the deployed position. Additionally, the chain extends in front of the respective tire when the deploying unit urges the chain into the deployed position thereby facilitating the respective tire to roll over the chain.

Abstract: Methods and apparatus are presented for flexibly building a dynamic report using a heterogeneous mix of dimensions, segments, and metrics. Within a report building tool a user may introduce any number of dimensions and segments at any point within a generated report. Further within the report building tool, a user may break down existing dimensions and segments within a report with nested dimensions and segments, which may be added without limits on a nesting level. Given a generated report, a user may pivot the generated report, where the pivot includes pivoting any heterogeneous combination of dimensions, segments, and metrics within the generated report defined along each axis. Further, the pivot operation maintains the relative groupings and nestings of dimensions, dimension items, segments, and metrics in going from a column to a row or from a row to a column.

Abstract: Embodiments relate to an off-road vehicle comprising a frame, including at least one cargo box support member, a suspension movably coupled to the frame, a passenger compartment, an engine, a transmission operatively coupled to the engine, and a cargo box. The cargo box includes a floor and a plurality of upwardly extending sidewalls, wherein at least a portion of the cargo box floor extends over the at least one cargo box support member and wherein the cargo box is removably coupled to the at least one cargo box support members and is removable from the off-road vehicle via the removal of fewer than eight fasteners.

Abstract: Embodiments relate to an off-road vehicle comprising a frame, including at least one cargo box support member, a suspension movably coupled to the frame, a passenger compartment, an engine, a transmission operatively coupled to the engine, and a cargo box. The cargo box includes a floor and a plurality of upwardly extending sidewalls, wherein at least a portion of the cargo box floor extends over the at least one cargo box support member and wherein the cargo box is removably coupled to the at least one cargo box support members and is removable from the off-road vehicle via the removal of fewer than eight fasteners.

Abstract: Machine health can be monitored using multiple sensors. For example, a computing device can determine a target sensor to monitor from among multiple sensors associated with the machine. The computing device can determine magnitude values for a particular component of a time series associated with the target sensor. The computing device can generate a dataset including the magnitude values for the particular component of the time series and the sensor measurements from the multiple sensors. The computing device can generate a model using the dataset. The computing device can then receive additional sensor-measurements from the multiple sensors and use the model to determine a predicted magnitude-value for the particular component of the time series based on the additional sensor-measurements. The computing device can use the predicted magnitude-value to identify an anomaly with the machine.

Abstract: Methods and apparatus are presented for flexibly building a dynamic report using a heterogeneous mix of dimensions, segments, and metrics. Within a report building tool a user may introduce any number of dimensions and segments at any point within a generated report. Further within the report building tool, a user may break down existing dimensions and segments within a report with nested dimensions and segments, which may be added without limits on a nesting level. Given a generated report, a user may pivot the generated report, where the pivot includes pivoting any heterogeneous combination of dimensions, segments, and metrics within the generated report defined along each axis. Further, the pivot operation maintains the relative groupings and nestings of dimensions, dimension items, segments, and metrics in going from a column to a row or from a row to a column.

Abstract: A gimbal system, including apparatus and methods, with one or more gimbals having non-preloaded or preloaded vibration isolators, a biased preloading compensation mechanism, sag compensation, and/or lateral snubbing.

Abstract: A computing device predicts a probability of a transformer failure. An analysis type indicator defined by a user is received. A worth value for each of a plurality of variables is computed. Highest worth variables from the plurality of variables are selected based on the computed worth values. A number of variables of the highest worth variables is limited to a predetermined number based on the received analysis type indicator. A first model and a second model are also selected based on the received analysis type indicator. Historical electrical system data is partitioned into a training dataset and a validation dataset that are used to train and validate, respectively, the first model and the second model. A probability of failure model is selected as the first model or the second model based on a comparison between a fit of each model.

Abstract: Methods and apparatus are presented for flexibly building a dynamic report using a heterogeneous mix of dimensions, segments, and metrics. Within a report building tool a user may introduce any number of dimensions and segments at any point within a generated report. Further within the report building tool, a user may break down existing dimensions and segments within a report with nested dimensions and segments, which may be added without limits on a nesting level. Given a generated report, a user may pivot the generated report, where the pivot includes pivoting any heterogeneous combination of dimensions, segments, and metrics within the generated report defined along each axis. Further, the pivot operation maintains the relative groupings and nestings of dimensions, dimension items, segments, and metrics in going from a column to a row or from a row to a column.

Abstract: A computing device predicts a probability of a transformer failure. An analysis type indicator defined by a user is received. A worth value for each of a plurality of variables is computed. Highest worth variables from the plurality of variables are selected based on the computed worth values. A number of variables of the highest worth variables is limited to a predetermined number based on the received analysis type indicator. A first model and a second model are also selected based on the received analysis type indicator. Historical electrical system data is partitioned into a training dataset and a validation dataset that are used to train and validate, respectively, the first model and the second model. A probability of failure model is selected as the first model or the second model based on a comparison between a fit of each model.

Abstract: A kit for building an adaptive unmanned CIED vehicle comprising a vehicle chassis having a locomotion system for moving the vehicle in an operating environment, and a controllable steering mechanism for steering the vehicle as it moves in the operating environment; one or more motors for coupling to the locomotion system to the controllable steering mechanism; a remote control unit for communication with and for controlling the one or more motors and the controllable steering mechanism; payload devices for performing tasks attributed to the vehicle; and a platform for providing the capability of adapting the vehicle to perform new tasks in view of evolution in the operating environment, the platform comprising: a casing for mounting on or in the vehicle chassis; a computing device for connection to a selection of payload devices from the payload devices, and a memory for storing computing instructions for controlling operation of the selection of payload devices; a power source for powering at least one of th

Abstract: A kit for building an adaptive unmanned CIED vehicle comprising a vehicle chassis having a locomotion system for moving the vehicle in an operating environment, and a controllable steering mechanism for steering the vehicle as it moves in the operating environment; one or more motors for coupling to the locomotion system to the controllable steering mechanism; a remote control unit for communication with and for controlling the one or more motors and the controllable steering mechanism; payload devices for performing tasks attributed to the vehicle; and a platform for providing the capability of adapting the vehicle to perform new tasks in view of evolution in the operating environment, the platform comprising: a casing for mounting on or in the vehicle chassis; a computing device for connection to a selection of payload devices from the payload devices, and a memory for storing computing instructions for controlling operation of the selection of payload devices; a power source for powering at least one of th

Abstract: A golf lighting system includes a golf cup light assembly having a cup housing sized to fit within a golf cup hole and a light source disposed within the housing and configured to illuminate a cup-shaped portion of the housing. The system also includes a plurality of partially removable lighting devices, each of which having a base portion fixed within the ground and a removable, riser-mounted light.

Abstract: A golf lighting system includes a golf cup light assembly having a cup housing sized to fit within a golf cup hole and a light source disposed within the housing and configured to illuminate a cup-shaped portion of the housing. The system also includes a plurality of partially removable lighting devices, each of which having a base portion fixed within the ground and a removable, riser-mounted light.