Abstract: This technology provides systems and methods for a vehicle computing system (VCS) for autonomous driving. This VCS furnishes End-to-End models that provide sensing, prediction, planning, decision-making, and control functions. The VCS executes vehicle control algorithms, trains general AI models, and makes inferences from those AI models. Specifically, a computing subsystem of the VCS performs computation methods that train a tensor-centered model and/or make inferences from a tensor-centered model. Additionally, the VCS gathers data from a roadside unit network, an onboard unit, a cloud platform, a traffic control center/traffic control unit, and a traffic operations center (TOC), thereby enhancing the safety and efficiency of autonomous driving.

Abstract: Provided are a defect detection method and apparatus, and a computer-readable storage medium. Specifically, the method includes: obtaining a to-be-detected image; obtaining a feature map of the to-be-detected image based on the to-be-detected image, where the feature map of the to-be-detected image includes a feature map of spatial position coordinate information; and performing defect detection on the to-be-detected image based on the feature map of the to-be-detected image. By modifying a neural network structure of defect detection and extracting the feature map of spatial position coordinate information during the detection, this application makes the neural network for use of defect detection sensitive to a spatial position, thereby enhancing sensitivity of a detection neural network to the spatial position, and in turn, increasing accuracy of detecting some specific defect types by the detection neural network, and increasing accuracy of defect detection.

Abstract: Disclosed is a tube, which has, in the thickness direction, a corrosion-resistant layer and a base layer. The corrosion-resistant layer is at least located on the inner wall of the tube. The corrosion-resistant layer, in addition to Fe and inevitable impurities, further contains the following chemical elements in wt %: 0<C?0.08%; Si: 0.3-0.6%; Mn: 0.5-2.0%; Ni: 11.00-13.00%; Cr: 16.50-18.00%; Mo: 2.00-3.00%; N: 0.02-0.2%; and Cu: 0.01-0.3%, wherein Cr, Mo, N and Cu satisfy the following inequation: Cr+3.3×Mo+16×N+10×Cu?26.0%. Correspondingly, further disclosed is a method for manufacturing the tube, comprising the steps of: (1) preparing a corrosion-resistant layer slab and a base layer slab; (2) assembling the corrosion-resistant layer slab and the base layer slab to obtain a clad slab; (3) heating and rolling: heating the clad slab at a temperature of 1150 to 1200° C.

Abstract: The present invention discloses a pipe, wherein the pipe has a corrosion-resistant layer and a base layer in the thickness direction, the corrosion-resistant layer being at least disposed on the inner wall of the pipe, and the corrosion-resistant layer further comprises, in addition to Fe and inevitable impurities, the following chemical elements in percentage by weight: 0<C?0.05%; Si: 0.3-0.6%; Mn: 0.5-2.0%; Ni: 8.00-14.00%; Cr: 16.00-19.00%; Mo: 2.00-3.50%; N: 0.02-0.20%; and Ti: 0.01-0.2%, and Cr, Mo, N, and Ti satisfy the following inequation: Cr+2.8×Mo+16×N+2×Ti?22.0%. Correspondingly, the present invention further discloses a method for manufacturing the above pipe comprising the steps of: (1) preparing a corrosion-resistant layer slab and a base layer slab; (2) assembling the corrosion-resistant layer slab and the base layer slab to obtain a composite slab; (3) heating and rolling: heating the composite slab at a temperature of 1150-1230° C.

Abstract: The invention provides systems and methods for a function-based computing power allocation system (FCPAS), which is a component of an Intelligent Road Infrastructure System (IRIS). The FCPAS incorporates advanced computing capabilities that effectively allocate computational power for prediction, planning, and decision making functions. Specifically, through the FCPAS, an AV can acquire additional computational resources for vehicle prediction, planning, and decision-making functions, thereby enabling safe and efficient autonomous driving. Additionally, tailored to different traffic scenarios, the FCPAS can allocate data and computational resources (including but not limited to CPU and GPU) for vehicle automation.

Abstract: Disclosed is a tube, having a corrosion resistant layer and a base layer in a thickness direction. The corrosion resistant layer is at least located on the inner wall of the tube. In addition to Fe and inevitable impurities, the corrosion resistant layer further contains the following chemical elements in wt %: 0<C?0.08%; 0<Si?0.75%; 0<Mn?2.0%; Ni: 10.00-14.00%; Cr: 16.00-18.00%; Mo: 2.00-3.00%; and N: 0.02-0.20%, with Cr, Mo and N satisfying the inequation: Cr+3.3×Mo+16×N?25%. Correspondingly, further disclosed is a method for manufacturing the tube, including the steps: (1) preparing a corrosion resistant layer slab and a base layer slab; (2) assembling the corrosion resistant layer slab and the base layer slab to obtain a clad slab; (3) heating and rolling: heating the clad slab at a temperature of 1100 to 1200° C., and then performing multi-pass rolling, with the total reduction rate being not less than 90%, and the final rolling being performed at a temperature of not less than 900° C.

Abstract: A preparation method of a molecularly imprinted polymer (MIP) for separation and concentration of 4-methylsterane compounds is provided. A template molecule, a functional monomer, a porogen, an initiator and a cross-linking agent are mixed and subjected to polymerization to prepare a polymer with the template molecule, which is then treated to remove the template molecule, so as to give the desired MIP. The template molecule is ?-sitosterol or deoxycholic acid. The obtained molecularly imprinted polymer has multiple stable hole structures and binding sites inside, and has memory and recognition functions for the 4-methylsterane compounds, exhibiting excellent specific adsorption performance. The MIP can contribute to the accurate identification of correlation between depositional environment and maturity of crude oils or source rocks. A molecularly imprinted polymer prepared by such method, a chromatographic column and an application thereof are also provided.

Abstract: The invention provides an autonomous vehicle and intelligent control (AVIC) system with distributed AI computing, which is a component of a Connected Automated Vehicle Highway (CAVH) system. This AVIC system is configured to realize training and application for distributed AI computing by providing automated vehicles (AVs) and/or connected automated vehicles (CAVs) with vehicle-specific control instructions comprising instructions for vehicle longitudinal and lateral position, speed, and steering and control. Detailed and time-sensitive vehicle-specific control instructions comprise control instructions for speed, spacing, lane designation, vehicle following, lane changing, and/or route guidance. Specifically, through the system, CAVs can be effectively and efficiently controlled by the AVIC system.

Abstract: A preparation method of a molecularly imprinted polymer (MIP) for separation and concentration of 4-methylsterane compounds is provided. A template molecule, a functional monomer, a porogen, an initiator and a cross-linking agent are mixed and subjected to polymerization to prepare a polymer with the template molecule, which is then treated to remove the template molecule, so as to give the desired MIP. The template molecule is ?-sitosterol or deoxycholic acid. The obtained molecularly imprinted polymer has multiple stable hole structures and binding sites inside, and has memory and recognition functions for the 4-methylsterane compounds, exhibiting excellent specific adsorption performance. The MIP can contribute to the accurate identification of correlation between depositional environment and maturity of crude oils or source rocks. A molecularly imprinted polymer prepared by such method, a chromatographic column and an application thereof are also provided.

Abstract: The invention provides a vehicle AI computing system (VACS) that supports autonomous driving through an Onboard Unit (OBU) for vehicle-based computing and distributed computing based on vehicle road-cloud. The vehicle-based computing can effectively complete various computational tasks by using onboard computing resources. The distributed computing allows the vehicle to work in collaboration with roadside units (RSUs) and/or the cloud to effectively complete various computational tasks. The VACS features an OBU with a sensing module, a communication module, and a data processing module that integrates data from vehicle sensors, RSUs, and the cloud. The OBU also includes a vehicle control module that helps control the vehicle based on the data of RSU and cloud. The VACS leverages high performance computation resources to implement end to end driving tasks including sensing, prediction, planning and decision making, and control.

Abstract: Embodiments of the present application provide a detection method, a detection device, and a storage medium. The detection method may comprise: obtaining a to-be-detected image; obtaining a plurality of confidence levels corresponding to a plurality of detection items according to the to-be-detected image; and determining a detection result of the to-be-detected image according to the plurality of confidence levels and a plurality of detection thresholds, where the plurality of detection thresholds may be corresponding to the plurality of detection items and may be a non-inferior solution of objective functions of an overkill rate and a missed detection rate, the overkill rate may be the ratio of qualified ones detected as defective, and the missed detection rate may be the ratio of defective ones detected as qualified.

Abstract: A tab bending detection method and apparatus, an electronic device, and a storage medium are provided. The method includes: performing skeleton extraction on a sectional image of multiple layers of tabs to obtain a skeleton image of the multiple layers of tabs; merging damaged connected components in the skeleton image to obtain a merged connected component, where the damaged connected components are connected components on which breaking occurs in a same tab section; calculating a target number of the multiple layers of tabs based on the merged connected component and an undamaged connected component; and detecting, based on the target number and a preset number, whether any tab in the multiple layers of tabs is in a bending state. The damaged connected components are merged to obtain the merged connected component.

Abstract: To provide enhanced search capabilities in a process control system, a knowledge repository is generated that includes both contextual data and time series data. The contextual data organizes process plant-related data according to semantic relations between the process plant-related data and the process plant entities. When a user submits a process plant search query related to process plant entities within a process plant, search results are obtained by identifying a data set from the knowledge repository. The contextual data categorizes process parameters so that users can search for a particular process parameter category. Users can tag previous searches to execute them once again at a later time.

Abstract: The present application relates to sofa with a turnable backrest, including a sofa seat frame, a backrest body, and an extension mechanism, wherein the backrest body is connected to the sofa seat frame through the extension mechanism; the extension mechanism is configured to turn and flatten the backrest body from a backrest position of the sofa seat frame to a position above a sitting position, and configured to turn the backrest body back to the backrest position.

Abstract: The present application relates to a sofa unfolding device capable of avoiding forward overturning, including a seat, a backrest assembly, a linkage assembly, and a leg rest assembly, wherein the linkage assembly is rotatably connected on the seat, the backrest assembly is rotatably connected to a rear end of the seat via the linkage assembly, the leg rest assembly is rotatably connected to a front end of the seat via the linkage assembly, a support mechanism is connected on the front end of the seat and comprises an abutting member and a support member, the abutting member is rotatably connected with the linkage assembly via a first pivot, and the support member is rotatably connected with the abutting assembly via a second pivot and is rotatably connected with the seat via a third pivot.

Abstract: The present disclosure provides an adapter circuit including a bus capacitor, a PMOS power transistor, and a sampling control module; a positive terminal of the bus capacitor is connected to a DC bus voltage, and a negative terminal of the bus capacitor is connected to a drain of the PMOS power transistor; a gate of the PMOS power transistor is connected to a drive signal, and a source of the PMOS power transistor is grounded; the sampling control module is used to obtain the drive signal by detecting an AC mains input voltage and a power-down voltage when the bus discharges, so as to turn off the PMOS power transistor after the AC mains input voltage reaches a peak value, and turn on the PMOS power transistor after the power-down voltage reaches a set voltage; the drive signal includes a PMOS Turn-on signal and a PMOS Turn-off signal.

Abstract: An example printing device comprises at least one moving module, which includes a profile assembly and a slider assembly. The profile assembly includes two guiding members that are spaced from each other, and the two guiding members respectively have a first guiding groove and a second guiding groove arranged in a preset direction. The slider assembly includes a slider body and an elastic member, where the slider body is in contact with the groove wall of the first guiding groove and is slidably connected in the preset direction; and the elastic member is fixedly connected with the slider body and is in contact with the groove wall of the second guiding groove and is slidably connected in the preset direction. The elastic member can deform to make the slider body press tightly against the corresponding guiding member, so that the printing device can improve its printing quality.

Abstract: To provide enhanced search capabilities in a process control system, a knowledge repository is generated that includes both contextual data and time series data. The contextual data organizes process plant-related data according to semantic relations between the process plant-related data and the process plant entities. When a user submits a process plant search query related to process plant entities within a process plant, search results are obtained by identifying a data set from the knowledge repository. The contextual data categorizes process parameters so that users can search for a particular process parameter category. Users can tag previous searches to execute them once again at a later time.

Abstract: The present application relates to an image processing method and system. The method includes: determining an enhanced image of a target object of an input image based on a segmentation algorithm, where the enhanced image of the target object comprises an image in which each pixel classified as the target object is displayed in an enhanced manner; and determining a positioning image of the target object by applying an integral image algorithm to the enhanced image of the target object.

Abstract: A Pseudomonas monteilii strain with salinity-alkalinity tolerance is provided. The strain is Pseudomonas monteilii 9-2, which has been deposited in China General Microbiological Culture Collection Center (CGMCC) on Oct. 25, 2021, with an accession number of CGMCC No. 23666; and an internal transcribed spacer (ITS) sequence is shown in SEQ ID NO: 1. This application further provides an application of the Pseudomonas monteilii strain in the degradation of petroleum hydrocarbons in a saline-alkali environment.