Abstract: Disclosed are a wristband and a wrist wearable device. The wristband includes a wristband body portion, a connecting portion, and a memory metal portion. One end of the wristband body portion is connected to the connecting portion, the connecting portion is connected to one end of a device body of a wrist wearable device, and another end of the wristband body portion is a free end. The memory metal portion is provided on the wristband body portion and has an arc-shaped memory state in a natural state, so that the wristband body portion is naturally maintained in an arc shape, and the wristband is naturally maintained in a wearing state.

Abstract: One embodiment of a system for analyzing the in-lane driving behavior of an external road agent generates a sequence of sparse 3D point clouds based on a sequence of depth maps corresponding to a sequence of images of a scene. The system performs flow clustering based on the sequence of depth maps and a sequence of flow maps to identify points across the sequence of sparse 3D point clouds that belong to a detected road agent. The system generates a dense 3D point cloud by combining at least some of those identified points. The system detects one or more lane markings and projects them into the dense 3D point cloud to generate an annotated 3D point cloud. The system analyzes the in-lane driving behavior of the detected road agent based, at least in part, on the annotated 3D point cloud.

Abstract: The present disclosure relates to a method for determining a target spot path, which is applied to a determining system including a shooting device and a locating device that are separate from each other, and a calibration device connected to the shooting device, the method comprising: S1. obtaining a three-dimensional partial image for an affected part and a virtual path located in the three-dimensional partial image; S2. matching a simulated two-dimensional image obtained based on projection of the three-dimensional partial image with a two-dimensional projection image obtained based on the affected part; S3. determining a surgical guide path on the two-dimensional projection image that corresponds to the virtual path according to position information of the virtual path on the simulated two-dimensional image, when the simulated two-dimensional image and the two-dimensional projection image are matched; and/or S4.

Abstract: Systems and methods are provided for utilizing sensor data from sensors of different modalities and from different vehicles to generate a combined image of an environment. Sensor data, such as a point cloud, generated by a LiDAR sensor on a first vehicle may be combined with sensor data, such as image data, generated by a camera on a second vehicle. The point cloud and image data may be combined to provide benefits over either data individually and processed to provide an improved image of the environment of the first and second vehicles. Either vehicle can perform this processing when receiving the sensor data from the other vehicle. An external system can also do the processing when receiving the sensor data from both vehicles. The improved image can then be used by one or both of the vehicles to improve, for example, automated travel through or obstacle identification in the environment.

Abstract: System, methods, and other embodiments described herein relate to training a prediction system for improving depth perception in low-light. In one embodiment, a method includes computing, in a first training stage, losses associated with predicting a depth map for a synthetic image of a low-light scene, wherein the losses include a pose loss, a flow loss, and a supervised loss. The method also includes adjusting, according to the losses, a style model and a depth model. The method also includes training, in a second training stage, the depth model using a synthetic representation of a low-light image. The method also includes providing the depth model.

Abstract: A self-monitoring method of a display and a display are disclosed. The self-monitoring method of a display includes: inputting a first image test signal including a predetermined image test signal, in which the first image test signal includes playing signals of at least two frames of test image that are played in turn by switching; acquiring a display parameter of the predetermined image test signal; dividing at least two frames of image outputted into a plurality of areas, in which the areas include a predetermined area and a remaining area; acquiring a first display parameter of the predetermined area; determining whether or not an image displayed is matched with the first image test signal to acquire a first match result; and determining whether or not display abnormality presents in the display based on the first match result. The method can determine whether or not display abnormality presents in the display.

Abstract: In some embodiments, systems and methods are related to identifying recoating defects based at least in part on imaged light intensities are disclosed. In other embodiments, systems and methods for predicting the formation of part defects during an additive manufacturing process based at least in part on information related to the presence of recoating defects are disclosed.

Abstract: Provided are a data apparatus and interaction method thereof, an electronic device, and a storage medium. The data interaction apparatus includes an interaction module, a switch module, a positioning module, a control module, and a drive module. The positioning module is configured to generate positioning information of an interaction object when the interaction object is located in a positioning detection region. The control module determines a corresponding target interaction unit according to the positioning information, and controls a target switch unit corresponding to the target interaction unit to communicate the target interaction unit with the drive module. The drive module drives the target interaction unit to perform data interaction with the interaction object, and sends data interaction information to the control module.

Abstract: Apparatuses, systems, and techniques to provide memory transaction information. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to cause information about one or more memory transactions to be provided to one or more users.

Abstract: Apparatuses, systems, and techniques to check memory transaction information. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to check for information provided in a token by one or more users about one or more memory transactions after a first amount of time indicated by one or more users.

Abstract: Described are systems and methods for substituting missing graph information caused during the transmission of graph information from one entity to another. In one example, a system includes a processor and a memory with machine-readable instructions that cause the processor to receive an incoming graph stream comprising a plurality of graphs having detected object information and at least one missing graph, transform the plurality of graphs into incoming embedded vectors having values that represent detected object information of the incoming graph stream, provide the embedded vector that corresponds to the at least one missing graph with a missing graph value, and substitute the missing graph value with a substitute value using a recurrent neural network that interpolates the substitute value using the incoming embedded vectors that are not equal to the missing graph value.

Abstract: Apparatuses, systems, and techniques to perform delayed memory transaction information check. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to check for information provided by one or more users about one or more memory transactions after a timeout event indicated by one or more users.

Abstract: Apparatuses, systems, and techniques to facilitate asynchronous data movement accounting. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to cause one or more memory transactions to be performed without storing information about the one or more memory transactions.

Abstract: Apparatuses, systems, and techniques to cause information to be provided. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to cause an amount of information to be accessed as a result of one or more memory transactions to be provided to one or more users.

Abstract: A titanium alloy blade tip with a wear-resistant protective coating and a preparation method thereof are provided. The method includes: (1) spraying MCrAlY alloy powder on a surface of a titanium alloy blade tip by high velocity oxygen fuel (HVOF) spraying at a spraying distance of 300-400 mm to obtain the titanium alloy blade tip with a MCrAlY layer on the surface; where M is one of Ni and NiCo; (2) pre-plating Ni at a current density of 4-10 A/dm2; (3) placing the pre-plated titanium alloy blade tip in a Watt solution, covering a surface of the pre-plated titanium alloy blade tip obtained in the step (2) with abrasive particles, and then performing composite electroplating at a current density of 0.5-2 A/dm2. In the method, the wear-resistant protective coating with the high adhesion strength is prepared on the titanium alloy blade tip, and the wear-resistant protective coating has good wear resistance.

Abstract: Apparatuses, systems, and techniques to store memory transaction information. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to cause information received by the API about one or more memory transactions to be stored.

Abstract: Apparatuses, systems, and techniques to create one or more memory transaction software objects. In at least one embodiment, one or more circuits are to perform an application programming interface (API) to cause one or more software objects to indicate whether one or more memory transactions have been performed.

Abstract: A visual positioning method and a mobile machine using the same are provided. The method includes: extracting a plurality of corner feature points corresponding to a current image; determining whether a distance between each pair of the plurality of corner feature points is less than a first preset threshold; if yes, determining whether a grayscale value of each of the plurality of corner feature points with the distance less than the first preset threshold is within a second preset threshold range; if yes, obtaining cluster set(s) of the corner feature points; screening a plurality of valid feature points from the cluster set(s); determining a positioning reliability based on a ratio of amount of the valid feature points to an amount of the plurality of corner feature points; and if the positioning reliability is within a preset range, performing a visual positioning based on the positioning reliability.

Abstract: An earmuff and head-mounted headphones are disclosed. The earmuff comprises earmuff leather and earmuff sponge. The earmuff further comprises an earmuff airbag made of a soft rubber material. The earmuff airbag comprises at least one hollow enclosed airbag. The earmuff sponge is wrapped on an outer surface of the earmuff airbag. The earmuff leather is wrapped on an outer surface of the earmuff sponge. The earmuff according to the present disclosure increases the conducting media of noise by adding the earmuff airbag. The noise will be continuously reduced after passing through different media, thereby enhancing the passive noise reduction ability of the earmuff, and improving the user experience. Moreover, the earmuff airbag comprises at least one hollow enclosed airbag, which provides a support force to the earmuff and can replace conventional sponge support for the earmuff.

Abstract: A relocation method and a mobile machine using the same are provided. The method includes: obtaining a global map and a current scan map of a target scene where a mobile machine is located, and generating a local sub-map based on the global map; obtaining a black boundary in the local sub-map, determining a length and a curve complexity of the black boundary, and determining a weight of the black boundary based on the length and the curve complexity of the black boundary; determining an estimated pose and a target black boundary based on the local sub-map and the current scan image, and obtaining a matching value between the current scan image and the local sub-map based on a weight of the target black boundary; and determining the estimated pose as a relocated pose of the mobile machine in response to the matching value being larger than a preset threshold.