Abstract: A traffic information quantization method in an intelligent network environment includes: step S1: extracting traffic information sources according to collected videos and classifying the traffic information sources; step S2: obtaining a state set and a probability distribution of each traffic information source through actual observation and calculation; step S3: using information theory to quantify the traffic information sources. Further, a traffic information quantization system in the intelligent network environment is provided, and the traffic information quantization method in the intelligent network environment and its system are adopted to quantify the driving information of the driving process and calculate the amount of information. The method and system can transform uncertain information into certain information, improve driving efficiency, help drivers optimize the driving process, and ensure driving safety.

Abstract: Embodiments of this application provide a resource scheduling method and an electronic device, and relate to the field of terminal technologies, to dynamically adjust, on a per-thread basis of a thread included in each application program, a resource allocated by the electronic device to the application program. In the method, a level of each first thread corresponding to a first application program and a scheduling parameter corresponding to each level are set, so that a resource can be allocated to each first thread on a per-thread basis of each first thread included in the first application program. This application is applied to a process in which the electronic device allocates a resource to an application program.

Abstract: A method for measuring a distance between trace lines of a 3D braided material, including: (S1) establishing a vision data acquisition system using a vision sensor; (S2) acquiring, by the vision data acquisition system, a training data of the trace lines of the 3D braided material; (S3) constructing a deep learning model for recognizing the trace lines of the 3D braided material; and inputting the training data acquired in step (S2) to the deep learning model to obtain a trained deep learning model; and (S4) positioning a location of the trace lines of the 3D braided material in batch images according to the trained deep learning model obtained in step (S3); and measuring a distance between adjacent trace lines.

Abstract: A polypeptide comprising two or three VEGF binding domains; and a domain that binds to an angiopoietin, and a gene therapy for delivering such a polypeptide.

Abstract: A traffic information quantization method in an intelligent network environment includes: step S1: extracting traffic information sources according to collected videos and classifying the traffic information sources; step S2: obtaining a state set and a probability distribution of each traffic information source through actual observation and calculation; step S3: using information theory to quantify the traffic information sources. Further, a traffic information quantization system in the intelligent network environment is provided, and the traffic information quantization method in the intelligent network environment and its system are adopted to quantify the driving information of the driving process and calculate the amount of information. The method and system can transform uncertain information into certain information, improve driving efficiency, help drivers optimize the driving process, and ensure driving safety.

Abstract: A decoding method and apparatus, a network device, and a storage medium are provided. The method includes: receiving data before de-interleaving and soft bit encoding locations; dividing the data before de-interleaving to obtain first data banks; acquiring punctured data, and obtaining second data banks according to the punctured data, wherein the data before de-interleaving and the punctured data are determined in encoded data according to the soft bit encoding locations; and performing decoding according to the soft bit encoding locations, the first data banks and the second data banks, so as to obtain decoded data.

Abstract: A cross-scale defect detection method based on deep learning, including: (S1) building a vision data acquisition system to acquire a surface image of a part to be processed; and building a defect dataset; (S2) building a deep learning-based cross-scale defect detection model; and inputting the defect dataset obtained in the step (S1) into the deep learning-based cross-scale defect detection model for model training; and (S3) building a defect detection system according to the deep learning-based cross-scale defect detection model and the vision data acquisition system; and detecting a defect of the surface image of the part to be processed.

Abstract: A decoding method and apparatus, a network device, and a storage medium are provided. The method includes: receiving data before de-interleaving and soft bit encoding locations; dividing the data before de-interleaving to obtain first data banks; acquiring punctured data, and obtaining second data banks according to the punctured data, wherein the data before de-interleaving and the punctured data are determined in encoded data according to the soft bit encoding locations; and performing decoding according to the soft bit encoding locations, the first data banks and the second data banks, so as to obtain decoded data.

Abstract: A method for measuring a distance between trace lines of a 3D braided material, including: (S1) establishing a vision data acquisition system using a vision sensor; (S2) acquiring, by the vision data acquisition system, a training data of the trace lines of the 3D braided material; (S3) constructing a deep learning model for recognizing the trace lines of the 3D braided material; and inputting the training data acquired in step (S2) to the deep learning model to obtain a trained deep learning model; and (S4) positioning a location of the trace lines of the 3D braided material in batch images according to the trained deep learning model obtained in step (S3); and measuring a distance between adjacent trace lines.

Abstract: A method and an apparatus for forwarding a packet in a Multi-Protocol Label Switching (MPLS) network are provided. Based on an example of the method, a Provider Edge (PE) device assigns a private network application identifier to a received Internet Protocol (IP) packet and sends a Multi-Protocol Label Switching (MPLS) packet that is generated based on the IP packet and carries the private network application identifier in an extension label. In this way, when receiving the MPLS packet, a Provider (P) device may identify the private network application to which the MPLS packet belongs based on the private network application identifier in the extension tag.

Abstract: A method and an apparatus for forwarding a packet in a Multi-Protocol Label Switching (MPLS) network are provided. Based on an example of the method, a Provider Edge (PE) device assigns a private network application identifier to a received Internet Protocol (IP) packet and sends a Multi-Protocol Label Switching (MPLS) packet that is generated based on the IP packet and carries the private network application identifier in an extension label. In this way, when receiving the MPLS packet, a Provider (P) device may identify the private network application to which the MPLS packet belongs based on the private network application identifier in the extension tag.

Abstract: A Doherty power amplifier circuit is provided, which includes a power divider circuit, and a power amplifier circuit connected with the power divider circuit; this Doherty power amplifier circuit further includes a combination output circuit connected with the power amplifier circuit, wherein the combination output circuit is a rheostat filter coupler, or a rheostat filter, or a rheostat coupler. By adopting the circuit, the size of a power amplifier circuit can be reduced, the cost of the power amplifier circuit can be lowered, and the efficiency of a power amplifier can be improved.

Abstract: A Doherty power amplifier circuit is provided, which includes a power divider circuit, and a power amplifier circuit connected with the power divider circuit; this Doherty power amplifier circuit further includes a combination output circuit connected with the power amplifier circuit, wherein the combination output circuit is a rheostat filter coupler, or a rheostat filter, or a rheostat coupler. By adopting the circuit, the size of a power amplifier circuit can be reduced, the cost of the power amplifier circuit can be lowered, and the efficiency of a power amplifier can be improved.

Abstract: Dynamic profile access control. Access control is provided by dynamically forming user groups according to a hierarchical organization structure and policy rules specified for organizational resources. The dynamically formed user groups are treated as the subject in a common access control component and are used to grant permission to or revoke permission to individual or groups of elements.