Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a graphics processor. The apparatus may obtain an indication of a set of registers at a graphics processing unit (GPU). The apparatus may also identify a classification of each of the set of registers at the GPU, wherein the classification of each of the set of registers at the GPU is associated with an accessibility of each of the set of registers at the GPU. Further, the apparatus may output an indication of the classification of each of the set of registers at the GPU.

Abstract: Performing texel access operations on multiple texels responsive to executing a single instruction by graphics processing units (GPUs) is disclosed herein. In some aspects, a GPU is configured to, responsive to execution of a single instruction, determine a first coordinate and a second coordinate of a location of a first texel of a texture. The GPU is further configured to determine a first offset corresponding to the first coordinate of the first texel and a second offset corresponding to the second coordinate of the first texel. The GPU is also configured to perform a texel access operation on each of the first texel and a second texel of the texture, wherein a location of the second texel is represented by a first sum of the first coordinate and the first offset, and a second sum of the second coordinate and the second offset.

Abstract: Embodiments of the present disclosure relate to the technical field of photovoltaic, and provide a solar cell and a method for manufacturing the same. The solar cell includes a substrate, and the substrate includes a first surface and a second surface opposite to each other. At least one of the first surface and the second surface is formed as a textured surface including a plurality of pyramidal structures, and side walls of at least some of the plurality of pyramidal structures are formed with pleated portions. One respective pleated portion of the pleated portions has a first length and includes at least one scale-like protrusion within the first length, a side wall including the respective pleated portion has a second length, and a ratio of the first length to the second length is greater than or equal to 0.5.

Abstract: The present disclosure provides a student performance evaluation method and system based on artificial intelligence (AI) identification data, and relates to the field of intelligent education. A lightweight network model suitable for student performance evaluation takes the AI identification data as an input and evaluation results as an output. A training data generation algorithm is provided, and multidimensional AI identification data and labels are uniformly processed into training data suitable for the network model through the above algorithm, which can solve the problems that dimensions between any AI identification data and various labels are not uniform, and original data cannot meet training of a multidimensional and cross-time prediction model. A simulated data generation algorithm and a simulated label generation algorithm are provided, and simulated training data is generated using these algorithms in conjunction with the training data generation algorithm.

Abstract: An approach is provided for lane-level direction-of-travel detection from overhead imagery. The approach, for instance, involves processing overhead imagery data of a road network to determine a plurality of features indicative of a direction of travel of at least one road lane of the road network. Each feature of the plurality of features indicates a candidate direction of travel. The approach also involves determining the direction of travel of the at least one road lane based on a weighted voting mechanism applied based on the candidate direction of travel of each feature. The weighted voting mechanism weighs the candidate direction of travel of each feature based on a feature type of each feature. The approach further involves associating the determined direction of travel as an attribute of the at least one road lane in a geographic database.

Abstract: Embodiments of this application disclose a detection method and a wearable device. The wearable device may collect physiological data and exercise data of a user in a plurality of periods such as pre-exercise, in-exercise, and post-exercise. An exercise and health result of the user may be obtained based on the physiological data and the exercise data.

Abstract: A fully-automatic production line and an automatic production method for rubber sealing rings. The fully-automatic production line includes a ring forming area, a molded vulcanization area, a flash removal area, a two-stage vulcanization area, an online detection area, a packaging and labeling area, and a control room. An automatic production line for rubber sealing rings involves the steps of loading and transferring, molded vulcanization, flash removal, second-stage vulcanization, packaging and labeling, and the like. The fully-automatic production line solves the technical problems in the prior art that the production of rubber sealing rings fails to adopt the molded vulcanization process, and meanwhile the specifications of the produced rubber sealing rings are single.

Abstract: A high-strength and thermal-fatigue-resistant lead-free solder alloy and a preparation method thereof. The high-strength and thermal-fatigue-resistant lead-free solder alloy includes the following components by mas percentage: 2.5-4% of silver; 0.5-1% of copper; 3-3.5% of bismuth; and 2.5-4% of antimony; and further includes 0.01-0.05% of nickel and 0.04-0.1% of neodymium; or/and 0.02-0.1% of manganese and 0.01-0.05% of cobalt; and the balance being tin and any unavoidable impurities. The method for preparing the lead-free solder alloy includes: mixing the components according to the mass percentages, melting, and performing heat preservation and stirring on a resulting mixture to obtain the lead-free solder alloy. The high-strength and thermal-fatigue-resistant lead-free solder alloy has excellent thermal fatigue resistance.

Abstract: Performing texel access operations on multiple texels responsive to executing a single instruction by graphics processing units (GPUs) is disclosed herein. In some aspects, a GPU is configured to, responsive to execution of a single instruction, determine a first coordinate and a second coordinate of a location of a first texel of a texture. The GPU is further configured to determine a first offset corresponding to the first coordinate of the first texel and a second offset corresponding to the second coordinate of the first texel. The GPU is also configured to perform a texel access operation on each of the first texel and a second texel of the texture, wherein a location of the second texel is represented by a first sum of the first coordinate and the first offset, and a second sum of the second coordinate and the second offset.