Abstract: The present application relates to the technical field of automobile wheel positioning, and more particularly to a wheel positioning method, a system and an electronic control unit and a tire pressure sensor. The system comprises an electronic control unit, a tire pressure sensor and an ABS sensor. Embodiments of the present application provide the wheel positioning method, the system, the electronic control unit, and the tire pressure sensors to improve the accuracy of wheel positioning.

Abstract: An order automatic interception method and a system.

Abstract: The technology of this application relates to a transmission control method and apparatus. The method includes obtaining traffic information of a first node at M sample moments, where M is a positive integer greater than or equal to 1, determining first traffic information of the first node at a first moment based on the traffic information of the first node at the M sample moments, where the first moment does not belong to the M sample moments, determining first rate-limited traffic based on the first traffic information, where the first rate-limited traffic indicates maximum traffic that is allowed to pass through a first queue of the first node at the first moment, and limiting traffic of the first queue at the first moment based on the first rate-limited traffic.

Abstract: An automatic publication method of store products and a system, which includes collecting information of the to-be-published product from the source platform; selecting a target store for publishing the products and setting product publication rules of the target store; pre-establishing a product classification library, which calculates the classification for the to-be-published product, thereby obtaining the product publication classification and product release attribute information to identify the required release item or optional release item for the publication information; filling in the product source information to the publication information according to the publication rules; calling the AI system to fill in the required release item for the missing information; posting the completed publication information in the target store.

Abstract: The disclosed process challenge device is a casing and a self-contained biological indicator operatively connected to the casing. The biological indicator has a housing with an open end and an interior space, a plurality of viable test microorganisms or an active enzyme in the housing, a sterilant pathway extending through the housing to the test microorganisms or the active enzyme, a detection reagent in the interior space, and an aqueous liquid in an openable container. The aqueous liquid is in selective communication with the viable test microorganisms or active enzyme. A first portion of the biological indicator has an open end and is disposed in the casing and a second portion of the self-contained biological indicator is disposed outside the casing. The second portion of the biological indicator comprises a part of the housing through which the aqueous liquid and detection reagent can be observed.

Abstract: The present disclosure relates to smart policy routing in a network. To this end, a network entity is configured to obtain policy information from a controller. The policy information can include one or more global intents and information about at least one SLA requirement for each of the plurality of flow groups. Furthermore, each global intent is indicative of one requirement of a network operator. The network entity further makes one or more routing decisions for the plurality of flow groups based on the policy information. In some examples, a controller is configured to provide policy information to the network entity.

Abstract: A communication method, device, and system are disclosed, and pertain to the field of communication technologies. The method includes: After determining a node set including a node that supports segment routing, a controller may send a target segment identifier list to a source node, to indicate the source node to forward a packet of a target flow based on the target segment identifier list, where the source node of the target flow in a communication network belongs to the node set. According to the communication method provided in this application, the target segment identifier list can be sent to the source node of the target flow, to indicate a packet forwarding path of the target flow, thereby reducing network link congestion, and improving packet forwarding efficiency.

Abstract: The technology of this application relates to a transmission control method and apparatus. The method includes obtaining traffic information of a first node at M sample moments, where M is a positive integer greater than or equal to 1, determining first traffic information of the first node at a first moment based on the traffic information of the first node at the M sample moments, where the first moment does not belong to the M sample moments, determining first rate-limited traffic based on the first traffic information, where the first rate-limited traffic indicates maximum traffic that is allowed to pass through a first queue of the first node at the first moment, and limiting traffic of the first queue at the first moment based on the first rate-limited traffic.

Abstract: A method for displaying a function menu interface of an automobile tyre pressure monitoring system includes: S100: acquiring vehicle information of an automobile (100); S200: determining a candidate radio frequency communication protocol of the tyre pressure monitoring unit according to the vehicle information; S300: by means of the radio frequency unit simulating the candidate radio frequency communication protocol, sending a radio frequency signal to the tyre pressure monitoring unit, the radio frequency signal comprising a sensor identification code and simulation measurement data; S400: if recorded measurement data corresponding to the sensor identification code is read out from the tyre pressure monitoring unit by means of the OBD interface, and the recorded measurement data is consistent with the simulation measurement data, then determining that the candidate radio frequency communication protocol is the actual radio frequency communication protocol of the tyre pressure monitoring unit; and S500: displ

Abstract: The present application discloses a Bacillus sp. producing a bioflocculant and a biosurfactant. The microbial classification of the Bacillus sp. is named Bacillus sp. SS15, which has been preserved in China Center for Type Culture Collection on Mar. 29, 2021, and its preservation number is CCTCC M2021295; the 16S rRNA sequence of SS15 is shown as SEQ ID NO.1. Bacillus sp. SS15 obtained by the present application has the function of simultaneously producing a bioflocculant and a biosurfactant. The bioflocculant and biosurfactant produced by Bacillus sp. SS15 of the present application not only have high activity, but also show strong tolerance in the ranges of pH (2-12), temperature (4° C.-100° C.) and salinity (0-100 g/L). Meanwhile, they can be applied to the remediation of a fracturing flowback liquid and can effectively promote the removal of chroma, suspended solids, COD, n-alkanes and polycyclic aromatic hydrocarbons at the same time.

Abstract: The present disclosure relates to a computer-readable storage medium, and a fault detection method and apparatus. The method includes: obtaining first data of tire pressure sensors of a vehicle in a stopping state and a running state; and performing fault detection according to the first data of the tire pressure sensors in the stopping state and/or the running state, and outputting a fault detection result. According to the solutions provided in the present disclosure, a fault type and a fault source can be quickly and accurately positioned, so that maintenance personnel perform fault maintenance quickly and safely, thereby reducing the costs of maintenance and detection, and effectively improving the efficiency and accuracy of fault detection.

Abstract: The present application relates to the technical field of automobile wheel positioning, and more particularly to a wheel positioning method, a system and an electronic control unit and a tire pressure sensor. The system comprises an electronic control unit, a tire pressure sensor and an ABS sensor. Embodiments of the present application provide the wheel positioning method, the system, the electronic control unit, and the tire pressure sensors to improve the accuracy of wheel positioning.

Abstract: A successive approximation register analog-to-digital converter (SAR ADC) with calibration function and a calibration method thereof are provided. The SAR ADC has at least one capacitor digital-to-analog converter (CDAC), having Nd capacitors corresponding to Nd bits; and a controller. The calibration method includes: coupling the capacitors of an i-th to an (Nd?1)-th bit to a first reference voltage, and generating a first digital code based an operation of the capacitors of an (i?1)-th bit to a 0-th bit; coupling the capacitors of an (i+1)-th bit to the (Nd?1)-th bit to the first reference voltage, coupling the capacitor of the i-th bit to a second reference voltage, and generating a second digital code based on the operation of the capacitors of the (i?1)-th bit to the 0-th bit; generating a capacitor weight of the capacitor of the i-th bit; and calibrating the SAR ADC based on the capacitor weight.

Abstract: A real-time detection method and apparatus for DGA domain name. An original domain name is translated into a multi-dimensional numeric vector, the multi-dimensional numeric vector is input into a deep learning model pre-trained based on an ImageNet data set, to generate a domain name feature, a domain name classifier is trained based on the generated domain name feature, and a DGA domain name is classified and predicted based on the domain name classifier obtained by training. The method firstly uses a deep learning model pre-trained based on an ImageNet data set, from the field of visual image classification and detection, for real-time detection of a DGA domain name, avoiding the process of high-intensity training and parameter weight adjustment for the deep learning model in DGA domain name detection. The detection rate is higher, and detection speed is faster.

Abstract: The application provides a white balance adjustment method, apparatus, camera, and medium. This method includes: obtaining a current image taken by the camera; determining a brightness value of the image and the acquisition parameter values with which the image is captured by the camera, in which the acquisition parameter values includes the exposure time, the exposure gain and the aperture value with which the image is captured by the camera; determining the first white balance gain, according to brightness value, exposure time, exposure gain and aperture value; calculating a second white balance gain with which the image is captured by the camera, according to the three-primary-color values of the pixel points of the image; adjusting the white balance gain of the camera according to the first white balance gain and the second white balance gain. The white balance gain determined by the embodiment of this application may better compensate for the color difference of the image taken by the camera.

Abstract: Embodiment of the present application provides a method and an apparatus for calculating a luminance value of a region of interest.

Abstract: Embodiments of the present invention relate to the field of automotive technologies, and disclose a tire location positioning method and apparatus, a tire pressure monitoring system (TPMS) receiver, a tire pressure sensor, a TPMS and an automobile. The method includes: controlling a first exciter to send a first excitation signal, and controlling a second exciter to send a second excitation signal; respectively receiving response signals that are generated according to the first excitation signal or the second excitation signal by all tire pressure sensors; performing positioning on front and rear wheels according to times when the response signals are received, to identify response signals sent by tire pressure sensors of the front and rear wheels; and performing positioning on left and right wheels according to the signal strength information, to identify response signals sent by tire pressure sensors of the left and right wheels.

Abstract: Systems and methods for a predicting power usage effectiveness (PUE) of a computer room with an optimized parameter using a Deep Concept Aggregation Neural Network (DCANN) algorithm based on hierarchical concept include receiving input feature parameters of a plurality of components associated with a computer room, and predicting the PUE of the computer room using a trained neural network, which comprises a hierarchical concept layer having embedded domain knowledge of the plurality of components placed between an input layer and a hidden layer.

Abstract: A successive approximation register analog-to-digital converter (SAR ADC) with calibration function and a calibration method thereof are provided. The SAR ADC has at least one capacitor digital-to-analog converter (CDAC), having Nd capacitors corresponding to Nd bits; and a controller. The calibration method includes: coupling the capacitors of an i-th to an (Nd?1)-th bit to a first reference voltage, and generating a first digital code based an operation of the capacitors of an (i?1)-th bit to a 0-th bit; coupling the capacitors of an (i+1)-th bit to the (Nd?1)-th bit to the first reference voltage, coupling the capacitor of the i-th bit to a second reference voltage, and generating a second digital code based on the operation of the capacitors of the (i?1)-th bit to the 0-th bit; generating a capacitor weight of the capacitor of the i-th bit; and calibrating the SAR ADC based on the capacitor weight.

Abstract: A real-time detection method and apparatus for DGA domain name. An original domain name is translated into a multi-dimensional numeric vector, the multi-dimensional numeric vector is input into a deep learning model pre-trained based on an ImageNet data set, to generate a domain name feature, a domain name classifier is trained based on the generated domain name feature, and a DGA domain name is classified and predicted based on the domain name classifier obtained by training. The method firstly uses a deep learning model pre-trained based on an ImageNet data set, from the field of visual image classification and detection, for real-time detection of a DGA domain name, avoiding the process of high-intensity training and parameter weight adjustment for the deep learning model in DGA domain name detection. The detection rate is higher, and detection speed is faster.