Abstract: An inductor device includes a hollow magnetic core and at least one winding assembly. The winding assembly includes a plurality of conductive structures and U-shaped conductors, and the conductive structures are below the hollow magnetic core. The conductive structures are arranged along a segment of the hollow magnetic core, and the U-shaped conductors are across the hollow magnetic core and arranged along the segment of the hollow magnetic core. Two ends of at least one of the U-shaped conductor are respectively in contact with two of the conductive structures such that the U-shaped conductors and the conductive structures are electrically connected to each other and collectively continuously surround the segment of the hollow magnetic core.

Abstract: An industrial time series AIGC fundamental model, an electronic device, and a computer program product. The model includes: an encoding module, configured to capture first relevant information of raw time series data in a frequency characteristic domain along a channel dimension, and downsample the first relevant information to obtain encoded time series data, where the raw time series data includes multiple types of raw vibration data, and each channel collects one type of raw vibration data; a decoding module, configured to capture second relevant information of the encoded time series data along a time dimension, and upsample the second relevant information to obtain decoded time series data; a synthesizing module, configured to synthesize the decoded time series data according to a trend and a time period respectively, and then perform concatenation processing to obtain the target time series data.

Abstract: A system state detection method and system for an industrial internet system, a device and a medium, all related to the field of industrial internet. The method includes: acquiring system data of the industrial internet system; detecting the system data by using a system state detection model to obtain a system state of the industrial internet system; where the system state detection model includes a shallow-layer feature extraction module and a plurality of deep-layer feature detection modules connected in sequence, the system state detection model is obtained by training a dynamic neural network model by using a training data set, the training data set includes historical system data of the industrial internet system, and the system state includes system normality and system abnormality; and in a case that the system state is system abnormality, outputting the system state of the industrial internet system.

Abstract: A plastic processing method includes the following steps: S1. the plastic to be treated is sent to a liquefaction unit for liquefaction treatment to produce a liquefied material; S2. subjecting the liquefied material to heat treatment in a viscosity reduction unit to reduce its viscosity to produce a viscosity-reduced liquefied material; S3. the viscosity-reduced liquefied material is sent to a cracking reaction unit for cracking reaction to produce a reaction product; S4. the reaction product is sent to a separation unit for separation treatment. The system for carrying out the plastic processing method has a liquefaction unit, a viscosity reduction unit, a cracking reaction unit, and a separation unit.

Abstract: A transformer structure is provided. The transformer structure includes a core unit, a first winding, and a second winding. The first winding is disposed on the core unit and has a first low segment, a first high segment, and a first connecting portion connected between the first low segment and the first high segment. The second winding is accommodated in a gap formed between the first low segment and the first high segment.

Abstract: The present disclosure provides controllers, hosts, methods of operating a controller, and methods of operating a host. An example controller includes a controller processor, an interface circuit and a buffer. The interface circuit is coupled to the buffer. Wherein the buffer is configured to buffer log information generated during the running of the firmware by the controller processor. The interface circuit is configured to: obtain the log information generated during the running of the firmware from the buffer, output the log information to a host.

Abstract: The present application provides a domain generalization modelling method, apparatus, device, and medium for industrial equipment health prediction. Multiple pieces of source domain data are inputted into a shared feature extractor to obtain a shared feature corresponding to each piece of source domain data; multiple shared features are inputted into a shared predictor to obtain a predicted health indicator corresponding to each piece of source domain data; a health task loss for the multiple pieces of source domain data is determined according to multiple predicted health indicators; similarity processing is performed on the multiple shared features to obtain a similarity loss for the multiple pieces of source domain data. Based on the health task loss and the similarity loss, update and iteration processing is performed on the shared feature extractor and the shared predictor to obtain a target feature extractor and a target predictor to construct a health prediction model.

Abstract: A cross-domain transfer method, apparatus and device for a prediction model, and a storage medium, including: acquiring source domain data in a source domain, determining a contrastive domain generalization loss according to a first latent feature and a label of the source domain data, pre-training a source domain model to obtain a pre-trained model, and transferring the pre-trained model to a target domain to make the pre-trained model adapted to the target domain and form a target domain model; acquiring target domain data, determining a second latent feature and a pseudo label of the target domain data, determining an instance-wise adversarial loss, a self-supervised alignment loss, and a pseudo domain generalization loss of the target domain data according to the second latent feature, pseudo label, source domain data, first latent feature and label, and performing calibrating processing on the target domain model to obtain a target model.

Abstract: Disclosed are a compound as represented by formula I; a stereoisomer or a pharmaceutically acceptable salt thereof, or a pharmaceutical composition containing same; and the use thereof as a PDE4B inhibitor in the preparation of a drug for the treatment of related diseases. Each group as shown in formula (I) is as defined in the description.

Abstract: Disclosed is a flow-guide device for an offshore platform, comprising a flow-guide column base, a ballast level control device and a spiral side belt system, wherein the flow-guide column base is located at the bottom of an offshore platform, and multiple flow-guide column bases are arranged symmetrically and distributed in a ring array; the flow-guide column base is rotatably connected to the offshore platform; a ballast compartment is arranged in the flow-guide column base, and the ballast level control device is used for controlling a ballast level in the ballast compartment; and the spiral side belt system is arranged outside the flow-guide column base and used for restraining vortex-induced resonance. The flow-guide column base and the offshore platform can be kept in a relatively fixed state by means of a clamping device, such that the offshore platform is able to rotate synchronously with the flow-guide column base.

Abstract: A bionic intervertebral disc with mechanical anisotropy includes an upper end plate, a core and a lower end plate. The core includes outer fibrous rings, a middle transition zone and an inner nucleus pulposus. The fibrous rings comprise collagen fiber sheets and collagen fibers, each of the collagen fibers is attached to a surface of a corresponding one of the collagen fiber sheets and arranged at an inclination angle, ones of the collagen fibers which are on every two adjacent layers of the collagen fiber sheets are arranged crosswise with each other. A honeycomb meshing size of a portion, which is located at a fibrous-ring transition zone, of the honeycomb structure is smaller and more compact, and a honeycomb meshing size of a portion, which is located at a nucleus pulposus transition zone, of the honeycomb structure is larger and sparser.

Abstract: Described are techniques for providing a ready status for network connections to remote services. The techniques include monitoring network connectivity between a server and a plurality of remote services, where the server exposes the plurality of remote services to at least one application, and the server and the at least one application are hosted on a cluster of nodes managed by a container orchestration system. The techniques further include assigning to the server, based on the network connectivity between the server and the remote service, a ready status for each remote service in the plurality of remote services exposed by the server to the at least one application, where the ready status indicates a readiness of the server to provide network connections between the remote service and the at least one application.

Abstract: The present application provides an embodied intelligence-based method and apparatus, a device and a medium for industrial part sorting processing. In this solution, firstly, a control signal for controlling a robotic arm to sort to-be-sorted parts is obtained by a task instruction understanding model based on part sorting description information inputted by a user, and then analysis processing is performed on an image of a to-be-sorted part by an intelligent perception model for parts according to the control signal to obtain a category and a grasp pose of the to-be-sorted part, the image being collected by an industrial camera. Finally, under obstacle-avoidance processing of an intelligent obstacle-avoidance neural network model, the robotic arm is controlled to sort the to-be-sorted part based on the control signal, the category and the grasp pose of the to-be-sorted part. This method helps reducing difficulty in controlling the robotic arm simply via natural language.

Abstract: A compound represented by formula I, stereoisomers or pharmaceutically acceptable salts thereof, or a pharmaceutical composition containing same, and the use thereof as a PDE4B inhibitor in the preparation of a drug for treatment of related diseases. Each group in formula (I) is as defined in the description.

Abstract: Described are techniques for providing a ready status for network connections to remote services. The techniques include monitoring network connectivity between a server and a plurality of remote services, where the server exposes the plurality of remote services to at least one application, and the server and the at least one application are hosted on a cluster of nodes managed by a container orchestration system. The techniques further include assigning to the server, based on the network connectivity between the server and the remote service, a ready status for each remote service in the plurality of remote services exposed by the server to the at least one application, where the ready status indicates a readiness of the server to provide network connections between the remote service and the at least one application.

Abstract: A conditional temporal diffusion model-based method and apparatus for generating a time series of an industrial device, including: acquiring parameter indicator data for the time series of the industrial device; using a noise at a target time instant in a target Gaussian noise distribution as an initial variable of the time series; inputting the parameter indicator data and the initial variable into a noise prediction model constructed based on a conditional temporal diffusion model, to obtain a predictive noise output by the noise prediction model; denoising the predictive noise according to the initial variable, to obtain a target variable of the time series located at a previous time instant of the target time instant; and inputting the target variable and the parameter indicator data into the noise prediction model for an iteration, to generate the time series of the industrial device.

Abstract: The present invention relates to the technical field of power electronics converters and discloses a grid-forming energy storage converter on/off-grid switching control method and system, where the method includes the following steps: S1: using a single-loop power control strategy in an off-grid state when an on-grid relay of target energy storage drops out; S2: using a parallel virtual impedance loop-based power control strategy in a transient on-grid state when the on-grid relay of target energy storage pulls in; and S3: using a cascaded dual-loop power control strategy with a virtual admittance voltage loop and an inner current loop when a stable on-grid state is established. The present invention solves the problems of large current impact and unstable switching process state in the existing working strategy for on/off-grid switching in the prior art.

Abstract: Techniques for detecting real-time proton beam dose include retrieving conversion data for converting proton dose to acoustic pressure based on medical imagery. 3D medical imagery is retrieved of a first region of interest (ROI) inside a first subject. A real-time signal indicates ultrasound pressure at a 2D ultrasound array disposed outside and in contact with the first subject close to the first ROI. Real-time 3D dose delivered in the first ROI is determined by inputting the real-time signal into a dose detection module that includes a neural network. The neural network is trained on multiple instances of a training set. Each instance includes: simulated proton dose delivered to a similar ROI inside a second subject; simulated pressure generation from that simulated dose based on the conversion data and a similar 3D medical image; and simulated acoustic transmission from the similar ROI to a similar two-dimensional ultrasound transducer array similarly disposed.

Abstract: A modification method and a tool for quickly retrofitting electronic hardware on an orthosis. The method mainly comprises drilling holes in an existing orthosis and embedding a magnetic connector or a conductive fabric electrode, ironing a circuit on the stereoscopic surface of the orthosis, and fixing a magnetic electronic functional module on the orthosis through magnetic attraction with the magnetic connector to realize circuit communication. The method is realized by a tool kit, which comprises a drilling tool, a circuit ironing tool, a magnetic connector, a magnetic electronic functional module, a wire tape and a conductive fabric electrode. This method can flexibly and quickly transform the orthosis according to the needs, with a strong applicability, and does not require the user to have circuitry expertise, which can shorten the customization and development cycle of the smart orthoses.

Abstract: The present application discloses a peripheral circuit assembly, a memory system and a fabrication method of the memory system. The peripheral circuit assembly includes a first peripheral circuit chip; a second peripheral circuit chip located on a side of the first peripheral circuit chip along a first direction, wherein one of the first peripheral circuit chip and the second peripheral circuit chip includes a low low voltage device, and the other one includes a high voltage device, and the first peripheral circuit chip or the second peripheral circuit chip further includes a controller.