Abstract: A rate switching method is applied to optical communications and a related apparatus. If channel quality changes greatly or a client requirement changes, a transmitting apparatus and a receiving apparatus may obtain a configuration parameter corresponding to a new rate mode. Before sending data based on the configuration parameter corresponding to the new rate mode, the transmitting apparatus first sends, to the receiving apparatus through a data lane, a rate switching identifier indicating rate switching, so that the receiving apparatus performs data processing based on the new rate mode, and both the transmitter and the receiver can complete rate switching to adapt to an actual scenario requirement. This helps implement high-performance and low-power transmission. In addition, the rate switching identifier is sent together with the data through the data lane so that preparation for rate switching can be implemented more quickly.

Abstract: Techniques for improving critical dimension metrology are disclosed herein. An example method includes emitting a radiation beam comprising (i) a primary beam that passes through a sample and scatters into a set of scattered beams and (ii) a reference beam. The method further includes detecting the reference beam and a portion of the set of scattered beams, wherein the reference beam and the portion of the set of scattered beams superimpose at the detector as a hologram of the sample to encode structural information associated with at least one lithographic pattern of the sample. The method further includes executing a dimensioning algorithm configured to: determine one or more critical dimensions of the sample based on one or more properties of the hologram and reconstruct a real-space image of the sample based on the hologram. The method further includes causing the critical dimensions or the real-space image to be displayed.

Abstract: At least one processor identifies dependency relationships among libraries in a repository of libraries. Using the dependency relationships among libraries, at least one machine learning model can be created that predicts with a confidence value a dependency between a given library and a target library. An L layer tree-like graph can be created, using the dependency relationships among libraries and an application package. L can be configurable. Versions of the libraries to use can be determined by running the at least one machine learning model for each pair of nodes having a dependency relationship in the L layer tree-like graph, the at least one machine learning model identifying the dependency relationship with a confidence value, where pairs of nodes having largest confidence values are selected as the versions of the libraries to use in the application package.

Abstract: Aspects of the subject disclosure may include, for example, receiving first data associated with users of a communication system; receiving second data associated with the users, wherein each data point of the second data has been obtained at a data capture frequency different from the data points of the first data; grouping together, for a first particular user of the plurality of users, each data point of the first data that has a first identifier corresponding to the first particular user, wherein the grouping together of each data point of the first data results in a first data set for the first particular user; grouping together, for the first particular user, each data point of the second data that has the first identifier corresponding to the first particular user, wherein the grouping together of each data point of the second data results in a second data set for the first particular user; and determining, based upon the first and second data sets, a shorter-term connection reliability value for the f

Abstract: An approach is provided in which the approach loads a machine learning model and a set of test case statistical data into a user system. The set of test case statistical data is based on a set of test cases corresponding to the machine learning model and includes a plurality of input parameter sets and a corresponding set of output quality measurements. The approach compares user data on the user system against the set of test case statistical data and identifies one of the plurality of input parameter sets to optimize the machine learning model based on the set of output quality measurements. The approach generates an optimized machine learning model using the machine learning model and the identified input parameter set at the user system.

Abstract: The present disclosure relates to a radome, which is integrally formed with a shield for protecting and shielding radio components on a motherboard, wherein the shield is configured in such a way that the radio components, when shielded by the shield, are positioned aside an antenna radiator. The present disclosure further relates to a communication station including the above-mentioned radome. The high integrated design solution of the present disclosure can achieve a simple and compact structure, resulting in a reduced assembly complexity, and a reduced weight and size.

Abstract: The present disclosure relates to the technical field of Graphics Processing Units (GPUs), and in particular to a GPU scheduling method and apparatus, and a storage medium. The method includes: acquiring a migration command, the migration command being used for migrating a workload of a source Virtual Machine (VM) from a source GPU core to a target GPU core; on the basis of the migration command, establishing an association relationship between the source VM and a corresponding hardware identifier on the target GPU core; and on the basis of the association relationship after the migration, using the target GPU core to processing the workload from the source VM by the target GPU core based on the migrated association relationship.

Abstract: A method and system for detecting small ship targets in thermal infrared images based on hierarchical feature attention network belongs to the field of satellite remote sensing image processing and application technology. The present disclosure constructs the first pixel level annotated three-channel infrared ship target detection image dataset based on SDGSAT-1. This dataset covers various scenarios and contains rich thermal information, and is more suitable for detecting small ships in thermal infrared images. Meanwhile, a network model based on hierarchical feature attention mechanism is constructed, which generates feature maps of different scales through multi-level detail enhancement processing. Multi-level long-distance information was extracted through a multi-level large kernel attention mechanism. By the multi-level fusion of feature maps at different scales, a predicted target probability map is generated to achieve fusion and interaction of different scales, enabling accurate location of ships.

Abstract: This application provides a screw compressor and a refrigeration system including the screw compressor. Specifically, the screw compressor including an economizer.

Abstract: A safety belt wearing detection method includes: acquiring a target image collected from a traffic device; determining a first image region and/or a second image region in the target image, the first image region being a region where a human torso of a target object in the target image is located, the second image region being a region where a face of the target object in the target image is located; determining a third image region according to the first image region and/or the second image region, the third image region being a safety belt wearing region in the target image; and determining whether wearing of a safety belt in the target image meets a preset wearing requirement according to image information in the third image region.

Abstract: The present disclosure provides a method and a device for preparing a modified poly (m-phenylene isophthalamide) (PMIA) fiber by continuous polymerization-dry-wet spinning. The method includes the following steps: (1) preparing a mixed solution of m-phenylenediamine (MPD) and a copolymerized diamine monomer in N,N-dimethylacetamide (DMAC) serving as a solvent using a cosolvent; (2) mixing isophthaloyl chloride (IPC) with the mixed solution of the MPD and the copolymerized diamine monomer in the DMAC, and conducting pre-polycondensation and polycondensation in sequence to obtain a modified PMIA resin solution; and (3) subjecting the modified PMIA resin solution to additive addition, filtration, defoaming, and dry-wet spinning to obtain the modified PMIA fiber.

Abstract: Embodiments are disclosed for a method. The method includes determining a correlation list of missing value predictors. The method also includes generating a cluster model having multiple clusters. The cluster model is based on a target value and predictor values. The method further includes determining an imputed value for a missing value of a row of original training data based on a linear regression model for multiple non-missing value predictor values for the clusters.

Abstract: The present disclosure provides a display substrate, a manufacturing method thereof, an intermediate substrate and an electronic paper display apparatus. The display substrate includes: a base substrate including a display region and a bezel region on at least one side of the display region; a plurality of test sub-terminals in the bezel region, including a common voltage test sub-terminal and a plurality of non-common voltage test sub-terminals; and a first electrostatic ring in the bezel region, through which the plurality of non-common voltage test sub-terminals are arranged in series and/or grounded.

Abstract: Technologies directed to Internet Protocol (IP) tunnels for cloud-based applications on a streaming device are described. One method receives a request to execute a streaming application hosted by the remote computing device. The method establishes a first IP tunnel with the remote computing device using a first virtual interface. The method establishes a second IP tunnel with a container executing the streaming application using a second virtual interface. The method establishing routing between the second virtual interface and a local network interface. The method communicates data with the streaming application over the second IP tunnel.

Abstract: Embodiments of the present disclosure are directed towards a method of preparing a silanol-functional polyolefin that includes combining, under thermal conditions to effect synthesis of a silanol moiety, starting materials comprising A) a silyl hydride-functionalized polyolefin, optionally B) a solvent, C) a peroxy acid, optionally D) a neutralizing agent thereby forming a reaction mixture that under the thermal conditions produces the silanol-functional polyolefin having the silanol moiety.

Abstract: A network processor includes a scheduler, a plurality of scheduling control modules, and a plurality of cache queues. The plurality of scheduling control modules are configured to separately obtain a first quantity of instructions from one of a plurality of non-empty cache queues, generate a scheduling request, to obtain a plurality of scheduling requests, and send the plurality of scheduling requests to the scheduler. The scheduler is configured to respond to the plurality of scheduling requests and send at least one scheduling response signal to at least one scheduling control module. The at least one scheduling control module is further configured to respond to the at least one scheduling response signal, and generate a to-be-executed instruction word based on the first quantity of instructions in a target cache queue and a target scheduling mode.

Abstract: A data pipeline for heterogonous clinical data ingestion, normalization, enrichment and management is described. In an example, a method can comprise receiving, by a system comprising a processor, a bundle of healthcare resources configured in accordance with a Fast Healthcare Interoperability Resources (FHIR) standard. The method further comprises tracking, by the system, information regarding existing healthcare resources stored in a FHIR datastore in a tracking database, wherein the information comprises logical identifiers for the existing healthcare resources associated with the existing healthcare resources in the FHIR datastore and healthcare identifiers for the existing healthcare resources, and processing, by the system, the bundle using a data refinement process and the tracking database, wherein the data refinement process comprises updating the tracking database to comprise new information extracted from the bundle.

Abstract: Disclosed is an intelligent manufacturing device for constant force springs. The magnet magnetically adsorbs one end of the spring, and the spring is installed horizontally inside the track; one side of the upper end of the discharge rack is rotatably connected to a turntable, the side of which near the cross rod is rotatably connected to a push rod, and protrusions are distributed on an outer side of the turntable; an end of the push rod near the turntable is located on one side of the upper end of the turntable, the push rod is horizontally inclined at 15-35°, and the turntable rotates horizontally on one side of the upper end of the discharge rack. Through the rotation of the protrusions above the discharge rack, the discharge of constant force springs can be separated, preventing the constant force springs from piling up on the upper end of the discharge rack.