Abstract: An ingot splitting method and an ingot splitting apparatus are provided. The ingot splitting method includes the following steps. A laser provided from a laser source is focused with a focusing lens group on a plane to be split of an ingot, and a focus point of the laser is used to scan the plane to be split. An opposing first side and second side of the ingot are fixed with a chuck table and an ultrasonic source. The plane to be split is located between the first side and the second side. A pulling force is applied to the second side in a direction away from the ingot with a tensioner, and ultrasonic waves are applied to vibrate the ingot with the ultrasonic source simultaneously, so that the ingot is divided into two parts from the plane to be split.

Abstract: An embodiment of the present disclosure provides a semiconductor device arrangement. This arrangement includes a substrate, an adhesive structure, and a first semiconductor device. The substrate includes an upper surface. The adhesive structure is located on the upper surface and includes a first concave region. The first semiconductor device includes a lower surface facing toward the adhesive structure and a conductive bump located under the lower surface and in the first concave region. The conductive bump includes a first portion and a second portion. Wherein the lower surface does not contact the adhesive structure, the first portion contacts the first concave region, and the second portion does not contact the first concave region.

Abstract: A method of making a highly humanoid safe driving decision for an automated driving commercial vehicle, includes: collecting synchronously multi-source information on driving behaviors in typical traffic scenarios, constructing an expert trajectory data set representing driving behaviors of excellent drivers; simulating the driving behaviors of excellent drivers by utilizing a generative adversarial imitation learning (GAIL) algorithm, in a comprehensive consideration of influences of factors such as a forward collision, a backward collision, a transverse collision, a vehicle roll stability and a driving smoothness on a driving safety, constructing a generator and a discriminator by utilizing a proximal policy optimization algorithm and a deep neural network respectively, and establishing a safe driving decision-making model with highly humanoid level; and training the safe driving decision-making model to obtain safe driving policies under different driving conditions and to implement an output of an advance

Abstract: A pixel package includes a first light-emitting diode, a second light-emitting diode, a third light-emitting diode, a transparent layered structure, and a first conductive structure. The first light-emitting diode has a first light-emitting surface and a first bottom surface opposite thereto, and the first light-emitting diode is arranged side by side with the second light-emitting diode over the first light-emitting surface. The transparent layered structure encapsulates and separates the first light-emitting diode, the second light-emitting diode, and the third light-emitting diode. The first conductive structure has a first portion and a second portion. The first portion is located between the first light-emitting diode and the first light-emitting surface. The second portion is located under the first portion and is exposed from the transparent layered structure.

Abstract: A device includes sample tray units, a sample tray transporting unit, a sample tray handling unit, and a sample tray radiation stage unit. The sample tray units are configured to load samples. The sample tray transporting unit is configured to carry a sample tray unit to a radiation room. The sample tray handling unit is between the sample tray transporting unit and the sample tray radiation stage unit, and is configured to transfer the sample tray unit on the sample tray transporting unit to the sample tray radiation stage unit or return the sample tray unit on the sample tray radiation stage unit to the sample tray transporting unit. The sample tray radiation stage unit is configured to carry the sample tray unit and move the samples to be irradiated in the sample tray unit to a particle beam radiation area to receive radiation.

Abstract: The present invention discloses a method for segmenting pedestrians in roadside images using a variable-scale multi-feature fusion convolutional network. It addresses the challenge of significant changes in pedestrian scale by using two parallel convolutional neural networks to extract the local and global features at different scales, and then fusing them to obtain a variable-scale multi-feature fusion convolutional neural network, and this network is trained using roadside pedestrian images to realize accurate pedestrian segmentation, avoiding issues with boundary fuzziness and missing segments commonly found in single-network methods.

Abstract: A data processing method and an acceleration unit are provided. The method includes: S11, reading a row of a target matrix as a target row; S12, shifting elements in the target row along a first direction to acquire a shifted target row according to a preset offset, and writing each element in the shifted target row into a corresponding row buffer respectively; S13, reading a next row of the target row from the target matrix as a new target row, if the next row of the target row is not the last row of the target matrix and an available storage space exists in the row buffers; S14, reading corresponding elements from each row buffer according to a preset rule, and writing the elements read from each row buffer into an output buffer as a row, step S14 is repeated until all elements in all row buffers are written into the output buffer.

Abstract: The present invention discloses an intelligent vehicle platoon lane change performance evaluation method. First, an intelligent vehicle platoon lane change performance test scenario is established; secondly, a three-degree of freedom nonlinear dynamics model is established according to motion characteristics of intelligent vehicles in a platoon lane change process; further, an improved adaptive unscented Kalman filter algorithm is utilized to perform filter estimation on state variables of positions and velocities of platoon vehicles; and finally, based on accurately recursive vehicle motion state parameters, evaluation indexes for platoon lane change performance are proposed and quantified, and an evaluation system for platoon lane change performance is constructed.

Abstract: A machine learning system and method are provided. The machine learning system includes a plurality of client apparatuses, and the client apparatuses include a first client apparatus and one or more second client apparatuses. The first client apparatus transmits a model update request to the one or more second client apparatuses, and the model update request corresponds to a malware type. The first client apparatus receives a second local model corresponding to each of the one or more second client apparatuses from each of the one or more second client apparatuses. The first client apparatus generates a plurality of node sequences based on a first local model and each of the second local models. The first client apparatus merges the first local model and each of the second local models based on the node sequences to generate a local model set.

Abstract: For a tank truck using an EBS, the present invention provides a tank truck rollover relieved control method based on electronic braking deceleration. Firstly, a tank truck rollover scene applicable to the relieved control method is defined; then, a least square method is adopted to establish a characterization function of tank truck braking deceleration; and finally, tank truck rollover relieved control is achieved on the basis of the characterization function of the braking deceleration and the EBS.

Abstract: The present invention discloses an intelligent vehicle platoon lane change performance evaluation method. First, an intelligent vehicle platoon lane change performance test scenario is established; secondly, a three-degree of freedom nonlinear dynamics model is established according to motion characteristics of intelligent vehicles in a platoon lane change process; further, an improved adaptive unscented Kalman filter algorithm is utilized to perform filter estimation on state variables of positions and velocities of platoon vehicles; and finally, based on accurately recursive vehicle motion state parameters, evaluation indexes for platoon lane change performance are proposed and quantified, and an evaluation system for platoon lane change performance is constructed.

Abstract: For a tank truck using an EBS, the present invention provides a tank truck rollover relieved control method based on electronic braking deceleration. Firstly, a tank truck rollover scene applicable to the relieved control method is defined; then, a least square method is adopted to establish a characterization function of tank truck braking deceleration; and finally, tank truck rollover relieved control is achieved on the basis of the characterization function of the braking deceleration and the EBS.

Abstract: The present invention discloses a positive azimuth towing guidance method for road rescue equipment based on license plate corner features. The method combines a structure of the road rescue equipment and characteristics of a positive azimuth towing operation. First, an image of an operation area is collected by installing a camera, and grayscale processing and Gaussian smooth filtering are performed on the image; corner detection is performed on the smoothed grayscale image, and preference is implemented according to corner strengths; hierarchical clustering is performed on the preferred corners; an effective corner set of license plate characters is sorted out to implement license plate locating; and then towing guidance is implemented according to a license plate locating result, to improve the rescue efficiency of the road rescue equipment.

Abstract: A device includes sample tray units, a sample tray transporting unit, a sample tray handling unit, and a sample tray radiation stage unit. The sample tray units are configured to load samples. The sample tray transporting unit is configured to carry a sample tray unit to a radiation room. The sample tray handling unit is between the sample tray transporting unit and the sample tray radiation stage unit, and is configured to transfer the sample tray unit on the sample tray transporting unit to the sample tray radiation stage unit or return the sample tray unit on the sample tray radiation stage unit to the sample tray transporting unit. The sample tray radiation stage unit is configured to carry the sample tray unit and move the samples to be irradiated in the sample tray unit to a particle beam radiation area to receive radiation.

Abstract: The present invention discloses a positive azimuth towing guidance method for road rescue equipment based on license plate corner features. The method combines a structure of the road rescue equipment and characteristics of a positive azimuth towing operation. First, an image of an operation area is collected by installing a camera, and grayscale processing and Gaussian smooth filtering are performed on the image; corner detection is performed on the smoothed grayscale image, and preference is implemented according to corner strengths; hierarchical clustering is performed on the preferred corners; an effective corner set of license plate characters is sorted out to implement license plate locating; and then towing guidance is implemented according to a license plate locating result, to improve the rescue efficiency of the road rescue equipment.

Abstract: The present invention discloses a roadside image pedestrian segmentation method based on a variable-scale multi-feature fusion convolutional network. For scenes where the pedestrian scale changes significantly in the intelligent roadside terminal image, this method designs two parallel convolutional neural networks to extract the local and global features of pedestrians at different scales in the image, and then fuses the local features and global features extracted by the first network with the local features and global features extracted by the second network at the same level, and then fuse the fused local features and global features for the second time to obtain a variable-scale multi-feature fusion convolutional neural network, and then train the network and input roadside pedestrian images to realize pedestrian segmentation.

Abstract: An electrical connector, electrical connector assembly, electrical device and electrical interconnection system configured for use in electronic devices with direct connect orthogonal architectures. The electrical connector comprises: an insulating housing; at least one electrically conductive terminal, with at least a part of each of the at least one electrically conductive terminal being accommodated in the insulating housing; and a mounting flange, the mounting flange having a mounting hole for mounting the electrical connector to component PCB. A threaded connecting member may pass through the mounting hole and be connected to a first PCB. A portion of the mating interface part of the connector may extend below the mounting interface of the connector so as to abut an edge of the PCB. The electrical connector can simultaneously provide compactness and robustness.

Abstract: A sensing device includes a first III-V compound stack and a second III-V compound stack. The first III-V compound stack has a first sensing area, and the second III-V compound stack has a second sensing area. A passivation layer fully covers the second sensing area. The first III-V compound stack is physically separated from the second III-V compound stack, and has material compositions and structures same as the second III-V compound stack.