Abstract: A micro light emitting diode (micro LED) is provided. The micro LED includes a base substrate; a first electrode on the base substrate; a first type doped semiconductor layer on a side of the first electrode away from the base substrate; a quantum-well layer on a side of the first type doped semiconductor layer away from the first electrode; a second type doped semiconductor layer on a side of the quantum-well layer away from the first type doped semiconductor layer; and a second electrode on a side of the second type doped semiconductor layer away from the quantum-well layer.

Abstract: A display module includes a first display component including a first light-emitting member and a translucent member, and a second display component including a second light-emitting member. The second display component is arranged at a side away from a light-emitting surface of the first display component, and the second display component and the first display component emit light toward a same side. At least a part of the second light-emitting member overlaps with the translucent member in a light-emitting direction of the first light-emitting member and the second light-emitting member. The second light-emitting member is translucent.

Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.

Abstract: A stretchable display apparatus having a substantially non-stretched state and a stretched state is provided. The stretchable display apparatus includes a first stretchable display panel including a plurality of first active subpixels of a first color and a plurality of first standby subpixels of the first color, a second stretchable display panel including a plurality of second active subpixels of the second color and a plurality of second standby subpixels of the second color, and a third stretchable display panel including a plurality of third active subpixels of the third color and a plurality of third standby subpixels of the third color. In the substantially non-stretched state, the plurality of first standby subpixels of the first color, the plurality of second standby subpixels of the second color, and the plurality of third standby subpixels of the third color are configured to be in a standby state and not emit light.

Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.

Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.

Abstract: A method and a system are disclosed for predicting that a road object is in a road zone or not. The method may include receiving at least one road object observation associated with the road object; extracting at least one feature associated with the road object or surroundings thereof based on the received at least one road object observation; and predicting, using a trained machine learning model, that the road object is in the road zone or not based on the extracted at least one feature, wherein the machine learning model is trained based on a training data set comprising a combination of at least one training feature and a ground truth label data, wherein the ground truth label data comprises at least one of a road zone data and a non-road zone data.

Abstract: The disclosure provides a method, a system, and a computer program product for validating path data for a main link path or a second link path. The method comprises receiving at least one traffic object observation based on sensor data. The method also includes extracting a plurality of path locations associated with the at least one traffic object observation. The method also includes determining an association between the plurality of path locations based on a statistical model. The method further includes generating a trajectory for the plurality of path locations based on the association and validating the path data for the main link path or the second link path, based on the generated trajectory.

Abstract: A system, method and computer program product are provided for classifying at least one speed sign associated with a region. In an example embodiment, the method may include obtaining sensor data comprising speed limit data associated with the at least one speed sign. The method may further include obtaining map data associated with a segment of the region, wherein the map data comprises conditional speed limit data associated with a conditional speed limit sign linked with the segment. The method may further include comparing the speed limit data with the conditional speed limit data and classifying the at least one speed sign as one of a conditional speed sign or a non-conditional speed sign based on the comparison.

Abstract: A manufacture method of an electronic device, an electronic device, and a manufacture tool for an electronic device are provided. The electronic device includes a stretching region and non-stretching regions on both sides of the stretching region, and the method includes: providing a flexible substrate, the flexible substrate including a stretching portion and non-stretching portions on both sides of the stretching portion, in which the stretching portion and the non-stretching portions respectively correspond to the stretching region and the non-stretching regions; stretching the stretching portion in a direction perpendicular to a longitudinal direction of the stretching portion, and then fixing the stretching portion to allow the stretching portion to be maintained in a stretching state; forming circuit structures on the non-stretching portions; and releasing the fixing of the stretching portion to allow the stretching portion to be restored.

Abstract: The invention provides systems and method for generating device-specific artificial neural network (ANN) models for distribution across user devices. Sample datasets are collected from devices in a particular environment or use case and include predictions by device-specific ANN models executing the user devices. The received datasets are used with existing datasets and stored ANN models to generate updated device-specific ANN models from each of the stored instances of the device ANN models based on the training data.

Abstract: The disclosure provides a method, a system, and a computer program product for detecting a speed funnel in a region. The method comprises obtaining a plurality of traffic object observations for the region and determining at least one first learned traffic object, based on feature-based clustering of the plurality of traffic object observations. The method also includes generating at least one candidate traffic object group by grouping the at least one first learned traffic object and a second learned traffic object and performing validation of the at least one candidate traffic object group based on a statistical model. The method further includes generating at least one validated candidate traffic object group as a result of the validation of the at least one candidate traffic object group and merging the at least one validated candidate traffic object group with a second validated candidate traffic object group to detect the speed funnel.

Abstract: A touch substrate, a preparation method and a driving method thereof, and a touch display panel are provided. The touch substrate includes a planar part and at least a bending part. The bending part extends from an edge of the planar part and is bent to a side of the planar part. The planar part is provided with a main touch module having a double-layer electrode structure, and the bending part is provided with a side touch module having a single-layer electrode structure.

Abstract: A system, method and computer program product are provided for classifying at least one speed sign associated with a region. In an example embodiment, the method may include obtaining sensor data comprising speed limit data associated with the at least one speed sign. The method may further include obtaining map data associated with a segment of the region, wherein the map data comprises conditional speed limit data associated with a conditional speed limit sign linked with the segment. The method may further include comparing the speed limit data with the conditional speed limit data and classifying the at least one speed sign as one of a conditional speed sign or a non-conditional speed sign based on the comparison.

Abstract: A kit is employed in the method for detecting droplet drift or deposition characteristics of spray. The detection kit includes detection membranes carrying immobilized probes, transition probes capable of specifically binding to the immobilized probes, and biotinylated chromogenic probes capable of specifically binding to the transition probes. The transition probes are added to the agricultural spray as tracers. After spraying, the sprayed transition probes specifically bind to the immobilized probes on the detection membranes. The biotinylated chromogenic probes are added to bind to the transition probes through hybridization. After the chromogenic treatment, the deposition volume of droplets is determined according to the color depth, and the droplet parameters are determined according to the position and size of chromogenic spots.

Abstract: A system, a method, and a computer program product for generating classification data of a sign. The method comprises obtaining map data of the sign, obtaining a map matched link and at least one parallel link associated with the sign based on the map data, determining presence data of at least one blocking link between the map-matched link and the at least one parallel link, wherein the at least one blocking link satisfies one or more of a heading criterion and a distance criterion. The method further comprises generating the classification data of the sign based on the presence data of the at least one blocking link.

Abstract: A NOx sensor protection system includes a flow control device forming an internal chamber with exhaust and shield gas ports and a NOx sensor. The flow control device is configured to selectively allow a flow of exhaust from an exhaust pipe to the NOx sensor when an internal combustion engine is operated with a first fuel, and to selectively direct shield gas from the shield gas port at an angle of 135° to 180° to the NOx sensor to inhibit the flow of exhaust from the exhaust pipe to the NOx sensor when the engine is operated with a second fuel.

Abstract: A computer-executable method, system, and computer program product for managing metadata in a distributed data storage system, wherein the distributed data storage system includes a first burst buffer having a key-value store enabled to store metadata, the computer-executable method, system, and computer program product comprising receiving, from a compute node, metadata related to data stored within the distributed data storage system, indexing the metadata at the first burst buffer, and processing the metadata in the first burst buffer.

Abstract: This disclosure provides a supporting structure disposed at a side of the flexible display panel and at least including a first bendable region, and a display device. A bending axis corresponding to the first bendable region extends in a first direction. The first bendable region has a plurality of first primary bending regions and a plurality of first deformation compensation regions alternately arranged in the first direction. The first primary bending region includes a plurality of first primary strip-shaped holes arranged in an array, and the first primary strip-shaped holes extend in the first direction. The first deformation compensation region includes a plurality of groups of first hollowed-out patterns arranged in an array. Each group of first hollowed-out patterns is formed by combining a plurality of hollowed-out holes, and at least two of the plurality of hollowed-out holes are different in a shape or an extending direction.

Abstract: A method, system, and computer program product is provided, for example, for generating heading information. The method comprises receiving a coordinate information for a gantry. The method further comprises receiving an identification information for a link associated with the gantry. Additionally, the method comprises extracting information related to one or more shape points associated with the link based on the identification information. Further, the method comprises matching the coordinate information for the gantry with at least two consecutive shape points from the one or more shape points, wherein the at least two consecutive shape points are closest from the gantry. Also, the method comprises calculating, by a processor, a heading value for the gantry based on the matching. The heading value for the gantry may be used to identify direction information for the gantry, which may further be used for updates.