Abstract: A method of video decoding includes receiving a syntax element associated with a current coding block that is partitioned into a first part and a second part along a partition edge for prediction in a geometric partitioning mode. The method further includes determining a weight index at a sample position of the current coding block, and determining a stored motion vector type for a first motion storage unit in a motion field of the current coding block based on a motion index of the first motion storage unit. The method further includes storing the motion field of the current coding block based on the stored motion vector type determined for the first motion storage unit.

Abstract: An anti-tampering device secures bolted components, such as a trailer coupler mounted to an adjustable channel. A nut shield provides hexagonal channels in which nuts are contained. A hasp assembly provides a locking tab. Bolts secure the nut shield and the hasp assembly to the components. A hasp shield with a notched annular flange overlays the hasp assembly, receives the tab through a slot in the area surrounded by the notched annular flange, and contains a puck lock in the area. The puck lock engages the locking tab.

Abstract: Disclosed are systems and methods for updating of a machine learning model on a vehicle. A data processing system having at least one processor coupled with memory can predict a first value for a characteristic of the vehicle based at least on a model and measure a second value for the characteristic of the vehicle based at least on a sensor of the vehicle. The data processing system can determine a difference between the first value predicted based at least on the model and the second value measured is greater than a tolerance. The data processing system can identify a state of the vehicle associated with the difference between the first value and the second value and provide, in response to the difference determined greater than the tolerance, the state of the vehicle to a server remote from the vehicle to update the model.

Abstract: Systems and methods for using a mobile crane assembly are provided. The mobile crane assembly includes a mobile crane having a first truss assembly and a second truss assembly spaced apart and movable relative to one another. The first truss assembly and the second truss assembly are each coupled to a rail car end assembly. The mobile crane further comprises an upper gantry assembly movable along the first truss assembly and the second truss assembly. A flat cart is coupled to the rail car end assembly, and a material handling cart is received upon the flat cart and is configured to move between the flat cart and the rail car end assembly based upon input from a controller in electrical communication with the upper gantry assembly.

Abstract: A method for decoding an image according to the present document includes obtaining prediction mode information and residual related information from a bitstream, deriving prediction samples of a current block by performing prediction based on the prediction mode information, deriving residual samples of the current block based on the residual related information, and generating reconstruction samples of the current block based on the prediction samples and the residual samples, and the residual related information includes a transform skip flag based on a size of the current block and a maximum transform skip size, the transform skip flag represents whether a transform skip is applied to the current block, and information about the maximum transform skip size is obtained from the bitstream.

Abstract: A computer implemented method includes obtaining multiple configuration files that include configuration commit histories, detecting patterns in parameter values in the configuration files to generate file-based rules for configuration parameters, detecting patterns in parameter values in the configuration files to generate history-based rules using commit histories for the configuration parameters, and exposing the rules to calling programs.

Abstract: A system includes an on-board electronic device of an autonomous vehicle, and a computer-readable medium having one or more programming instructions. The system receives one or more forecast messages pertaining to a track, where each of the forecast messages includes a unique identifier associated with the track, and receives one or more inference messages pertaining to the track, where each of the inference messages includes the unique identifier. The system aggregates the one or more forecast messages and the one or more inference messages to generate a message set, and applies a set of processing operations to the message set to generate a feedback message. The system identifies one or more events from the feedback message, automatically generates an annotation for one or more of the events that is identified, and embeds the generated annotations in an event log for the autonomous vehicle.

Abstract: In accordance with one implementation, a method for adaptive in-field recalibration includes detecting a potential environmental disturbance for a first storage node in a mass storage system based on an indicator external to the first storage node, and initiating a recalibration of an operational parameter of the first storage node responsive to the detection.

Abstract: Systems, methods and containers for forming a beverage. A container includes a closure arranged with a movable element that is movable to pierce a membrane and permit beverage material in the container to exit. The movable element can include a piercing element that pierces the membrane. Gas can be introduced into the container to force beverage material to exit the container. A gas inlet port can be provided with the closure and arranged to mate with a gas source of a beverage machine.

Abstract: Methods of refining a planned trajectory of an autonomous vehicle are disclose. For multiple cycles as the vehicle moves along the trajectory, the vehicle will perceive nearby objects. The vehicle will use the perceived object data to calculate a set of candidate updated trajectories. The motion planning system will measure a discrepancy between each candidate updated trajectory and the current trajectory by: (i) determining waypoints along each trajectory; (ii) determining distances between at least some of the waypoints; and (iii) using the distances to measure the discrepancy between the updated trajectory and the current trajectory. The system will use the discrepancy to select, from the set of candidate updated trajectories, a final updated trajectory for the vehicle to follow.

Abstract: A method for forming a layered anode material includes contacting a precursor material and a first electrolyte. The precursor material is a layered ionic compound represented by MX2, where M is one of calcium and magnesium and X is one of silicon, germanium, and boron. The method further includes applying a first bias and/or current as the precursor material contacts the first electrolyte to remove cations from the precursor material to create a two-dimensional structure that defines the layered anode material. In certain variations, the method further includes contacting the two-dimensional structure and a second electrolyte and applying a second bias and/or current as the two-dimensional structure contacts the second electrolyte so as to cause lithium ions to move into interlayer spaces or voids created in the two-dimensional structure by the removal of the cations thereby forming the layered anode material.

Abstract: In certain embodiments, machine learning and lineage data may be used to manage data. In some embodiments, a computing system may use lineage data to identify two datasets that may be related. The computing system may determine that a user has access to a derivative dataset but does not have access to an original dataset that was used to create the derivative dataset. In response, the computing system may use a machine learning model to generate a similarity score indicating a level of similarity between the original dataset and the derivative dataset. If the similarity score satisfies a threshold score, the computing system may modify access rights of the user so that the user is unable to access a portion of the data in the derivative dataset.

Abstract: Valve devices, methods of making valve devices, and methods of treating various venous-related conditions, disorders and/or diseases are described. In one embodiment, a valve device includes an expandable support frame and a bioprosthetic valve attached to the support frame. The bioprosthetic valve comprises a leaflet and a contiguous wall portion harvested from a multi-leaflet xenogeneic valve. The contiguous wall portion includes the attachment region where the leaflets attaches to the vessel wall and, in some embodiments, includes the natural margins of attachment between the leaflet and vessel wall.

Abstract: Systems and methods for operating a mobile platform. The methods comprise, by a computing device: obtaining a LiDAR point cloud; using the LiDAR point cloud to generate a track for a given object in accordance with a particle filter algorithm by generating states of a given object over time (each state has a score indicating a likelihood that a cuboid would be created given an acceleration value and an angular velocity value); using the track to train a machine learning algorithm to detect and classify objects based on sensor data; and/or causing the machine learning algorithm to be used for controlling movement of the mobile platform.

Abstract: An automated bicycle lighting system comprising light modules that contain sensors and a processor which enable the color and/or flash state of the emitted light to be changed depending upon the physical orientation of the modules is provided. The sensors and processor also allow the operating state of the light modules to be adjusted depending upon whether movement of the light modules is sensed. The modules are used in combination with pedals configured to removably receive the modules and/or with an auxiliary mount that provides for mounting the modules to other components of a bicycle, such as, for example, handlebars, seat-posts, frame tubes, helmets and/or a rider's clothing.

Abstract: A method of making an absorbent structure including mixing ultra-high molecular weight (“UHMW”) glyoxalated polyvinylamide adducts (“GPVM”) and/or high molecular weight (“HMW”), glyoxalated polyacrylamide and/or high cationic charge glyoxalated polyacrylamide (“GPAM”) copolymers and high molecular weight (“HMW”) anionic polyacrylamide (“APAM”) with the furnish during stock preparation of a wet laid papermaking process.