Abstract: Embodiments of this application provide a leaky coaxial cable and a communication system. The leaky cable includes: an inner conductor, an insulation layer, and an outer conductor, where the insulation layer is configured to separate the inner conductor from the outer conductor; and the outer conductor includes M perforated segments and N non-perforated segments, the M perforated segments and the N non-perforated segments are alternately arranged, at least one of the M perforated segments includes at least three leak holes, spacings between leak holes in each of the at least one perforated segment are the same, and M and N are positive integers greater than or equal to 1.

Abstract: Examples of methods are described herein. In some examples, a method includes predicting a first sintering state of an object using a first machine learning model trained based on a first time segment. In some examples, the method includes predicting a second sintering state of the object using a second machine learning model trained based on a second time segment. In some examples, the method includes combining, using a fusion machine learning model, the first sintering state and the second sintering state to produce an overall sintering state.

Abstract: Embodiments of the present disclosure relate to a method, system, and computer program product for efficient execution of a decision tree. According to the method, respective target values of a plurality of attributes of a target entity are obtained. Representations of a plurality of leaf nodes of a decision tree are obtained. Each of the representations indicates respective statistic values of a plurality of attributes of historical entities and a statistic prediction result determined from historical prediction results output at a respective one of the plurality of leaf nodes for the historical entities. Distance measures between the target entity and the plurality of leaf nodes are determined based on the target values and the statistic values indicated by the representations of the plurality of leaf nodes. A target prediction result for the target entity is determined based on the distance measures and the statistic prediction results of the historical entities.

Abstract: A path delay prediction method for an integrated circuit based on feature selection and deep learning. First, an integrated feature selection method based on filter methods and wrapper methods is established to determine an optimal feature subset. Timing information and physical topological information of a circuit are then extracted to be used as input features of a model, and local physical and timing expressions of cells in circuit paths are captured by means of the convolution calculation mechanism of a convolutional neural network. In addition, a residual network is used to calibrate a path delay. Compared with traditional back-end design processes, the path delay prediction method provided by the invention has remarkable advantages in prediction accuracy and efficiency and has great significance in accelerating the integrated circuit design process.

Abstract: A method of privacy protection includes receiving from a service customer, a service request requesting for a service of privacy protection. A generative model is used to generate synthetic data based on the service request and the synthetic data is provided to a discriminator. The discriminator performs a comparison between data from the service customer and the received synthetic data, and providing a result of the comparison to the generator, where privacy of the service customer is included in or inferred from the data from the service customer. Based on the result of the comparison from the discriminator, the generator updates the generative model until the generated synthetic data meets a preconfigured requirement. Each time the generative model is updated, newly updated synthetic data is provide to the discriminator. Once the preconfigured requirement is met, the latest synthetic data or the latest generative model is provided to a data consumer.

Abstract: A method for purification of high-purity or ultrahigh-purity gas by low temperature adsorption, has the following steps: adsorbing and removing impurity in feed gas at low temperature, obtaining high-purity or ultrahigh-purity product gas with a purity higher than 99.99%, vacuumizing an adsorber by using a vacuum pump during regeneration, and introducing a small amount of gas with low impurity content into the adsorber to regenerate the adsorbent while vacuumizing. The temperature of the adsorber is not obviously increased during regeneration. In this method, the adsorber does not need to be deliberately heated in the regeneration process, the consumption of a large amount of energy and materials caused by frequent heating and cooling of the adsorber is avoided.

Abstract: An integral reinforcement design method of an external frame-brace based on a random capability spectrum is provided, and the reinforcement design method includes: evaluating an original structure before reinforcement by using a random capability spectrum method; performing a reinforcement analysis on an external frame-brace sub structure by using the random capability spectrum method to obtain a reinforced structure; and performing a reinforcement verification on the reinforced structure by using the random capability spectrum method. A performance based integral reinforcement design of the external frame-brace sub structure is achieved through considering uncertain factors, as well as capability spectrums and demand spectrums before and after the reinforcement, and converting the integral structure to equivalent single degree of freedom to obtain performance points.

Abstract: A method and a system for identifying a glacial lake outburst debris flow (GLODF) are provided. The method is obtained based on considering induced influences of slopes of channels and particle sizes of source particles on the GLODF. The method not only compensates for deficiencies in identifying the GLODF, but also realizes determination of the GLODF, which provides data basis for disaster prevention and control layout such as monitoring and early warning on a glacial lake and assists preventing and managing disasters caused by the GLODF. Meanwhile, multiple parameters used in the method are easy and convenient to obtain, and the parameters can be directly used on site, which saves engineering cost, improves working efficiency, and has high practical and promotional value in environmental protection and disaster prevention and mitigation.

Abstract: A device and a method for capturing carbon dioxide and producing an organic weak acid salt.

Abstract: Examples of methods are described herein. In some examples, a method includes determining a graph representation of a three-dimensional (3D) object based on a voxel representation of the 3D object. In some examples, the graph representation includes nodes corresponding to voxels of the voxel representation and edges associated with the nodes. In some examples, the method includes predicting, using a machine learning model, a sintering state of the 3D object based on the graph representation.

Abstract: A high-side driver method for a laser of a Lidar, including: transforming a first input signal into a second input signal between a first voltage value and a second voltage value, by a level translation module; stepping down a first voltage signal according to a first voltage difference to obtain a second voltage signal, by a low-dropout linear regulator; generating a first control signal, by the first pre-driver module; generating a pulse current for driving the laser, by the first power switching transistor.

Abstract: Embodiments of this application disclose a picture prediction method and apparatus. The picture prediction method includes: determining whether a merge mode is used for a current picture block; when the merge mode is used for the current picture block, determining whether a level-1 merge mode is available for the current picture block; when the level-1 merge mode is unavailable, and a high-layer syntax element corresponding to a first merge mode indicates that the first merge mode is forbidden to be used, determining a second merge mode as a target merge mode used for the current picture block, where the first merge mode and the second merge mode are included in a level-2 merge mode; and predicting the current picture block based on the target merge mode. In the embodiments of this application, redundancy generated in a merge mode determining process can be reduced as much as possible.

Abstract: A method for predicting mass of heavy vehicles based on networked operating data and machine learning includes: collecting operating data; extracting speed, engine output torque, satellite elevation, and gear position under a driving condition; determining a transmission ratio of the heavy vehicle based on the gear position; filtering the speed, engine output torque, and the satellite elevation using three of the plurality of filtering parameters; determining a filtered vehicle longitudinal acceleration under the driving condition using the filtered speed, and one of the plurality of filtering parameters; determining a filtered road gradient sine value under the driving condition using the filtered speed, satellite elevation, and one of the plurality of filtering parameters; and inputting the speed, engine output torque, vehicle longitudinal acceleration, road gradient sine value, and transmission ratio into a vehicle mass prediction model to obtain a predicted mass.

Abstract: Provided in the present disclosure are a display substrate, a display panel, and a display device. The display substrate includes: a base substrate; a plurality of gate lines located on a side of the base substrate, and extending in a first direction; and a plurality of pixel electrodes, distributed in arrays, where pixel electrodes in the same row are electrically connected to at least one gate line, and in the pixel electrodes in the same row, at least adjacent parts of two adjacent pixel electrodes are distributed in a split-level manner.

Abstract: Provided in the present disclosure is a data read or write method, including: determining read or write data according to a data read or write request; when a cache miss occurs for the read or write data and a data memory provided in the cache does not have an idle storage address, traversing starting from an initial storage address of the data memory; when a storage address having an unread flag is found in the traversing, writing the read or write data to the storage address having the unread flag; and when the storage address having the unread flag is not found in the traversing, writing the read or write data to a previous storage address of the initial storage address. Further provided in the present disclosure are a data read or write apparatus and device, and a computer-readable storage medium, which all have the above beneficial effects.

Abstract: A path delay prediction method for an integrated circuit based on feature selection and deep learning. First, an integrated feature selection method based on filter methods and wrapper methods is established to determine an optimal feature subset. Timing information and physical topological information of a circuit are then extracted to be used as input features of a model, and local physical and timing expressions of cells in circuit paths are captured by means of the convolution calculation mechanism of a convolutional neural network. In addition, a residual network is used to calibrate a path delay. Compared with traditional back-end design processes, the path delay prediction method provided by the invention has remarkable advantages in prediction accuracy and efficiency and has great significance in accelerating the integrated circuit design process.

Abstract: Disclosed are electrochemical-mechanical thinning method and apparatus for large-diameter semiconductor wafers. The large-diameter semiconductor wafers are thinned by combining anodizing modification and mechanical grinding. The apparatus includes a grinding tool system, a wafer holding device and a grinding wheel dressing device. The grinding tool system includes a base plate and a cup-shaped grinding wheel. The base plate is taken as a cathode, and the semiconductor wafer is taken as an anode. During thinning, both the cathode and the anode are immersed in an electrolyte. Under the action of an external electric field, the semiconductor wafer is subjected to surface modification and softening. At the same time, an oxide layer and intermediate state products generated by modification are removed together by using the grinding wheel, and the semiconductor wafer is thinned under the combined action of multi-energy fields of electricity, chemistry, machinery and force.

Abstract: A tool for an offshore wind power foundation pile includes a steel pipe pile, a pile core, a pile cap, and a pile shoe. A cutting shoe portion is arranged at a bottom of the steel pipe pile, and an outer diameter of the pile shoe is larger than an outer diameter of the cutting shoe portion; the pile cap is detachably connected to the top of the steel pipe pile; the pile core is located in the steel pipe pile, the pile core is detachably connected to the pile shoe, and a length of the pile core is larger than or equal to a length of the steel pipe pile; the pile cap is further provided with a pile core accommodating groove and a pile core limiting portion; the pile core limiting portion includes a pile core limiting block and a limiting hole.

Abstract: Performing predictive analysis on running batch jobs is provided. A series of batch end time predictive models is retrieved according to a sequence of milestone jobs in a batch of jobs. Retrieved batch end time predictive models are assembled into an aggregate batch end time predictive model to increase accuracy and stability of an end time prediction of the batch of jobs. The aggregate batch end time predictive model is utilized to predict an end time of the batch of jobs during running of the batch of jobs to form a predicted end time of the batch of jobs.