Abstract: Provided are a vehicle control method and apparatus, a device, and a storage medium. The vehicle control method includes: acquiring positioning data output by a GNSS module and IMU data output by an IMU module, and acquiring attitude angle data based on the positioning data and the IMU data; acquiring rotation angle information of a vehicle front wheel based on the IMU data, motor position encoder data of an electric steering wheel, and vehicle size data; acquiring target rotation angle information of the vehicle front wheel based on the positioning data, the attitude angle data, the vehicle size data, the rotation angle information of the vehicle front wheel, and planned path data; generating target control information based on the target rotation angle information, and sending the target control information to the electric steering wheel so that the electric steering wheel rotates based on the target control information.

Abstract: A method for separation and simultaneously imaging of primary and multiple waves based on wave field decomposition is provided. It reformulates the two-way wave equation based wave field decomposition scheme to achieve efficient separation of primary wave and multiple waves of different orders, eliminate crosstalk noise, and simultaneously achieve efficient imaging of primary and multiple waves. The method is to decompose the up-going wave field into primary and up-going multiple waves of different orders on the acquisition surface, and decompose the down-going wave field into down-going multiple waves of different orders. Based on this generalized decomposition of up-going/down-going wave fields, a reformulated two-way wave equation wave field depth extrapolation scheme is used for simultaneous depth extrapolation and imaging of primary wave and multiple waves of different orders. With only one calculation, efficient imaging of multiple wave field types can be achieved.

Abstract: A method and apparatus for optimizing a battery management system (BMS) are provided. The method includes: obtaining training data, wherein the training data comprises data from a target vehicle and data from auxiliary vehicles, and the auxiliary vehicles are vehicles mounted with a same or similar battery system as the target vehicle; optimizing a BMS related algorithm for the target vehicle by performing transfer learning based on the training data, wherein the BMS related algorithm comprises one or a combination of: a battery model, parameters for the battery model, a battery management algorithm, and parameters for the battery management algorithm.

Abstract: A supramolecular star-shaped polymer with ?-CD as a core and a preparation method thereof. The supramolecular star-shaped polymer with ?-CD as a core has a ?-cyclodextrin-modified branched monomer F-?-CD that serves as a core and is grafted with acrylamide, acrylic acid, hydrophobic monomers and surface-active macromolecular monomers to form a supramolecular star-shaped polymer. The hydrophobic monomer is one or more of N-benzyl-N alkyl (meth) acrylamide and N-phenethyl-N alkyl (meth) acrylamide; the surface-active macromolecular monomer is one or more of allyl polyoxyethylene ether, alkylphenol polyoxyethylene ether (meth)acrylate, allyl alkylphenol polyoxyethylene ether, alkyl alcohol polyoxyethylene ether (meth)acrylate and allyl alkyl alcohol polyoxyethylene ether. The method has cheapness and easiness to obtain raw materials, ease to control synthesis conditions, and high yield.

Abstract: A biological monitoring electrode including an electrode body, wherein a surface of the electrode body is coated with an insulating anti-interference material layer, the insulating anti-interference material layer has a first notch, and the electrode body is exposed by the first notch to be contacted with a user's skin to acquire biological information. For example, a user's finger contacts the electrode body through the first notch as a signal input.

Abstract: An ultra-high temperature organic cross-linked fracturing fluid system consisting of the following components at mass percentages: 0.6 wt % of a supramolecular star-shaped polymer, 0.5-1.0 wt % of formaldehyde solution, 0.02-0.04 wt % of resorcinol, 0.05-0.2 wt % of an ammonium catalyst and the rest being water, wherein the supramolecular star-shaped polymer is a ?-cyclodextrin-modified branched monomer F-?-CD that serves as a core and is grafted with acrylamide, acrylic acid, hydrophobic monomers and surface-active macromolecular monomers to form a supramolecular star-shaped polymer; the ammonium salt catalyst is one or more of ammonium chloride, ammonium bicarbonate, ammonium acetate, ammonium citrate, ammonium benzoate and ammonium oleate. The ultra-high temperature organic cross-linked fracturing fluid system uses a supramolecular star-shaped polymer as a thickener, an organic crosslinker as a crosslinker and an ammonium salt as a catalyst to form a fracturing fluid.

Abstract: Disclosed is a flexible hydrogen sensor with ultra-high sensitivity and a wide range and a fabrication method therefor. The sensor includes a conductive electrode layer (4), a sensing layer and a flexible substrate layer (1) in sequence from top to bottom. The sensing layer includes a MOx film (2) and Pd nanoparticles (NPs) (3), and the Pd NPs (3) are covered on the MOx film (2). A traditional metal oxide type hydrogen sensor and a quantum conductance-based hydrogen sensor are combined on a flexible polymer substrate by means of an atomic layer deposition (ALD) technology and a cluster beam deposition (CBD) technology, so as to obtain a flexible hydrogen sensor with ultra-high sensitivity, a wide range and excellent selectivity and lower working temperature.

Abstract: Disclosed is a flexible hydrogen sensor with ultra-high sensitivity and a wide range and a fabrication method therefor. The sensor includes a conductive electrode layer (4), a sensing layer and a flexible substrate layer (1) in sequence from top to bottom. The sensing layer includes a MOxfilm (2) and Pd nanoparticles (NPs) (3), and the Pd NPs (3) are covered on the MOx film (2). A traditional metal oxide type hydrogen sensor and a quantum conductance-based hydrogen sensor are combined on a flexible polymer substrate by means of an atomic layer deposition (ALD) technology and a cluster beam deposition (CBD) technology, so as to obtain a flexible hydrogen sensor with ultra-high sensitivity, a wide range and excellent selectivity and lower working temperature.

Abstract: An in-situ test device and method for surrounding rock strength of bolt supported roadway is provided. The test device includes a fixing mechanism, a loading mechanism, a measuring mechanism and a control system. The loading mechanism includes a hydraulic pump and a plunger pump, the hydraulic pump drives the plunger pump to work and controls the lifting speed of the loading cylinder; the measuring mechanism includes an infrared ranging unit and a wireless pressure monitoring unit; the control system controls the work of the loading mechanism and processes the monitoring data. The test device is directly installed in the roadway and fixed with the bolt. The device is loaded after leveling, the device is disassembled after the monitoring data are obtained, and the in-situ test for the surrounding rock strength of the bolt supported roadway is completed. The steps are simple and adaptable.

Abstract: A supramolecular star-shaped polymer with ?-CD as a core and a preparation method thereof. The supramolecular star-shaped polymer with ?-CD as a core has a ?-cyclodextrin-modified branched monomer F-?-CD that serves as a core and is grafted with acrylamide, acrylic acid, hydrophobic monomers and surface-active macromolecular monomers to form a supramolecular star-shaped polymer. The hydrophobic monomer is one or more of N-benzyl-N alkyl (meth) acrylamide and N-phenethyl-N alkyl (meth) acrylamide; the surface-active macromolecular monomer is one or more of allyl polyoxyethylene ether, alkylphenol polyoxyethylene ether (meth)acrylate, allyl alkylphenol polyoxyethylene ether, alkyl alcohol polyoxyethylene ether (meth)acrylate and allyl alkyl alcohol polyoxyethylene ether. The method has cheapness and easiness to obtain raw materials, ease to control synthesis conditions, and high yield.

Abstract: The present invention relates to an ultra-high temperature organic cross-linked fracturing fluid system consisting of the following components at mass percentages: 0.6 wt % of a supramolecular star-shaped polymer, 0.5˜1.0 wt % of formaldehyde solution, 0.02˜0.04 wt % of resorcinol, 0.05˜0.2 wt % of an ammonium catalyst and the rest being water, wherein the supramolecular star-shaped polymer is a ?-cyclodextrin-modified branched monomer F-?-CD that serves as a core and is grafted with acrylamide, acrylic acid, hydrophobic monomers and surface-active macromolecular monomers to form a supramolecular star-shaped polymer; the ammonium salt catalyst is one or more of ammonium chloride, ammonium bicarbonate, ammonium acetate, ammonium citrate, ammonium benzoate and ammonium oleate.

Abstract: An apparatus can include an interface coupled to processing circuitry and cryptographic circuitry coupled to the interface. The cryptographic circuitry can receive a request from the processing circuitry over the interface to perform a cryptographic operation using a remote hardware security module (HSM) key component. The cryptographic circuitry can further transmit a command to a remote component to retrieve the remote HSM key component. Subsequent to receiving the cryptographic key component, the cryptographic circuitry can construct a trusted execution environment (TEE) instance and store the remote HSM key component in the TEE instance. The cryptographic circuitry can use the remote HSM key component to perform the cryptographic operation and provide a result of the cryptographic operation to the processing circuitry over the interface.

Abstract: Provided are a method and a system for optimizing a BMS model. The method includes: creating a BMS model based on test data of a battery; selecting sample vehicles from real driving data of vehicles equipped with this type of battery through active learning approach, and giving a corresponding weight to each of the selected sample vehicles; optimizing the BMS model based on the data of the selected sample vehicles.

Abstract: Disclosed are a vehicle navigation guidance system and a vehicle. The system includes: a navigation controller, a steering angle sensor, a motor steering controller and a display controller. The steering angle sensor is communicatively connected to the navigation controller, and is configured to acquire rotational angular velocity information of a wheel relative to a vehicle body, and output the angular velocity information to the navigation controller. The navigation controller is configured to output navigation guidance information according to positioning information and the angular velocity information, where the navigation controller includes a first positioning device, and the first positioning device is configured to acquire the positioning information. The motor steering controller is communicatively connected to the navigation controller, and is configured to perform steering control according to the navigation guidance information.

Abstract: A method for predicting a yield of calcium in a calcium treatment process based on deep neural network as provided relates to a calcium treatment process of molten steel refining in the field of iron and steel metallurgy, and includes steps of: obtaining production and operation data information of each of charges and thereby constructing a dataset; training and testing a deep neural network based on constructed dataset to establish a prediction model; and based on the prediction model, predicting and calculating current yield of calcium by taking actual production and operation data information of each charge as input. The method can predict the yield of calcium in the calcium treatment process, is favorable for accurately controlling a calcium content of steel, can stably control the calcium treatment process, improve the calcium treatment effect, improve the product quality, and ensure the production stability.

Abstract: A method for predicting a yield of calcium in a calcium treatment process based on deep neural network as provided relates to a calcium treatment process of molten steel refining in the field of iron and steel metallurgy, and includes steps of: obtaining production and operation data information of each of charges and thereby constructing a dataset; training and testing a deep neural network based on constructed dataset to establish a prediction model; and based on the prediction model, predicting and calculating current yield of calcium by taking actual production and operation data information of each charge as input. The method can predict the yield of calcium in the calcium treatment process, is favorable for accurately controlling a calcium content of steel, can stably control the calcium treatment process, improve the calcium treatment effect, improve the product quality, and ensure the production stability.

Abstract: The present invention is applicable to the technical field of material processing and provides an aluminum alloy and a preparation method thereof. The preparation method of the aluminum alloy includes: weighing raw material components according to a preset weight ratio; melting the weighed raw materials, sequentially performing refinement, standing, slag removal, degassing and filtering, and then performing horizontal casting to obtain an aluminum alloy ingot; homogenizing the ingot; heating the ingot to 440-500° C., and placing the ingot in an extruder with an extrusion ratio of 30-100 for extrusion treatment; annealing the extruded blank; heating the annealed blank to 440-480° C. for deformation treatment, and controlling the deformation amount in the thickness direction to be 12%-28%; carrying out solution treatment on the deformed blank; and subjecting the blank after the solution treatment to artificial aging treatment.

Abstract: An in-situ test device and method for surrounding rock strength of bolt supported roadway is provided. The test device includes a fixing mechanism, a loading mechanism, a measuring mechanism and a control system. The loading mechanism includes a hydraulic pump and a plunger pump, the hydraulic pump drives the plunger pump to work and controls the lifting speed of the loading cylinder; the measuring mechanism includes an infrared ranging unit and a wireless pressure monitoring unit; the control system controls the work of the loading mechanism and processes the monitoring data. The test device is directly installed in the roadway and fixed with the bolt. The device is loaded after leveling, the device is disassembled after the monitoring data are obtained, and the in-situ test for the surrounding rock strength of the bolt supported roadway is completed. The steps are simple and adaptable.

Abstract: A quadripolymer based on host-guest interaction and prepared in the steps including (1) weigh maleic anhydride and dissolve in dichloromethane, add ?-phenethylamine dropwise, stir to react for 1 to 3 hours, perform extraction filtration and washing, to obtain N-phenethylmaleamic acid; (2) weigh mono 6-ethylenediamine ?-cyclodextrin and maleic anhydride, dissolve in N, N-dimethylformamide, and place at 40° C. for reaction for 3 to 6 hours, the product is precipitated with chloroform, washed and dried under vacuum to obtain maleic anhydride modified mono 6-ethylenediamine ?-cyclodextrin; (3) Add acrylamide, acrylic acid, maleic anhydride modified mono 6-ethylenediamine ?-cyclodextrin, N-phenethylmaleamic acid, adjust the pH of the solution to 7; introduce nitrogen, add a photoinitiator and place to a photo-initiating device to react 3˜5 hours at a temperature of 10˜30° C. The quadripolymer has good temperature and salt resistance, shear resistance. The raw materials are cheap and easily available.

Abstract: A method and apparatus for optimizing a battery management system (BMS) are provided. The method includes: obtaining training data, wherein the training data comprises data from a target vehicle and data from auxiliary vehicles, and the auxiliary vehicles are vehicles mounted with a same or similar battery system as the target vehicle; optimizing a BMS related algorithm for the target vehicle by performing transfer learning based on the training data, wherein the BMS related algorithm comprises one or a combination of: a battery model, parameters for the battery model, a battery management algorithm, and parameters for the battery management algorithm.