Abstract: The present invention relates to the technical field of network security, and in particular to an abnormal data detection method, system and device for industrial Internet. This detection method compares data distribution of an initial node with a normal feature expression performance in first normal data distribution subject to extraction processing to obtain a first anomaly score, compares the data distribution of the initial node with the normal feature expression performance in second normal data distribution subject to enhancement processing to obtain a second anomaly score, obtains a risk level of the node based on the first anomaly score and the second anomaly score, and immediately provides corresponding limits on a node communication permission; and the method provides dual detection, is high in accuracy and stable in detection results, and facilitates the maintenance of industrial Internet security.

Abstract: The present invention relates to the technical field of network security, and in particular to an abnormal data detection method, system and device for industrial Internet. This detection method compares data distribution of an initial node with a normal feature expression performance in first normal data distribution subject to extraction processing to obtain a first anomaly score, compares the data distribution of the initial node with the normal feature expression performance in second normal data distribution subject to enhancement processing to obtain a second anomaly score, obtains a risk level of the node based on the first anomaly score and the second anomaly score, and immediately provides corresponding limits on a node communication permission; and the method provides dual detection, is high in accuracy and stable in detection results, and facilitates the maintenance of industrial Internet security.

Abstract: A light emitting diode may include a light emission layer and a charge transport layer disposed on the light emission layer. A grating including a plurality of nanoholes may be formed by removing a portion of the charge transport layer and/or the light emission layer and depositing a plasmonic metamaterial on a remaining portion of the charge transport layer and/or the light emission layer. The nanoholes may include the plasmonic metamaterial deposited inside the recesses formed by the remaining portion of the charge transport layer and/or the light emission layer, with an additional portion of the charge transport layer disposed on top. A pitch, diameter, and/or depth of the nanoholes may be configured to maximize the quantum efficiency of the light emitting diode, especially at a microscale of less than 100 microns.

Abstract: The invention relates to the technical field of image processing, and in particular to a method, a system and a device for acquiring a seaweed bed area, and a storage medium. In the acquisition method, firstly, an initial seaweed bed image with fog is firstly subjected to the fog thickness removal which is convenient for quick calculation, checking whether the quality of the fog thickness removal chart meets the requirements. If the quality of fog thickness removal chart is not up to the standard, a more detailed fog concentration removal method is used to improve the image quality of the initial seaweed bed image until the fog concentration removal chart is up to the standard and then feature extraction is performed. If the quality of fog thickness removal chart is up to the standard, the feature extraction is performed directly.

Abstract: The present invention discloses a human-robot collaboration method based on a multi-scale graph convolutional neural network. The method includes the following steps: S1, data acquisition: acquiring a dataset of a human skeleton in human-robot collaboration scenes, and performing pre-processing to obtain pre-processed data; S2, model training: loading the pre-processed data, and obtaining a human behavior recognition network model by training a multi-scale graph convolutional neural network; S3, human behavior recognition: predicting human behaviors through a trained deep learning network model; and S4, human-robot interaction: sending predicted information to a robot system through a communication algorithm, and enabling a robot to make action plans based on the human behaviors. By the human-robot collaboration method based on a multi-scale graph convolutional neural network disclosed by the present invention, a robot can predict human behaviors and intents in real scenes and make correct interaction.

Abstract: Disclosed is a Bayesian classification recognition system based on an industrial PaaS platform, comprising: an IaaS infrastructure service layer, a G-PaaS graph neural network processing layer, an O-PaaS docking service layer and an SaaS system application layer. The G-PaaS graph neural network processing layer is configured for point cloud feature generation, point cloud feature learning, point cloud structure estimation and point cloud model classification; and the recognition accuracy of a workpiece point cloud model is improved through the Bayesian classification recognition system based on the industrial PaaS platform.

Abstract: In some example embodiments, there may be provided a metasurface for edge detection. The metasurface may include a nano or subwavelength surface structure configured to provide an output having optical separation to enable detection of at least one edge of an object being illuminated, wherein the optical separation is based on a phase profile configured on the nano or subwavelength surface structure of the metasurface.

Abstract: Disclosed are a control method, system and device with edge cloud service stability. The control method comprises the following steps of: first step: acquiring quality data of a task executor, monitoring data of an edge server, reward data of a task requester and supervision data of a cloud platform; second step: establishing revenue functions of the task executor, the cloud platform, the task requester and the edge server to obtain replication dynamic equations; and third step: establishing a Jacobian matrix to obtain a system stabilization strategy. Through the combination of the cloud platform and the edge server, a transmission amount of remote data is reduced, a time delay of network transmission is reduced, and an operation cost of the network is reduced.

Abstract: The invention relates to the field of blockchain technologies, and is particularly a method, system and device for detecting an abnormal node in a blockchain and a storage medium. In the detection method, node data are extracted and analyzed in a defeatured manner through various information sources, and finally, a high-quality graph structure with high accuracy, strong applicability and small error is obtained, so that high-order neighbor features with rich feature information are obtained, thus being convenient for further classified detection, improving the accuracy of detection results, and being beneficial for maintaining the safety of blockchain.

Abstract: Disclosed are a control method, system and device with edge cloud service stability. The control method comprises the following steps of: first step: acquiring quality data of a task executor, monitoring data of an edge server, reward data of a task requester and supervision data of a cloud platform; second step: establishing revenue functions of the task executor, the cloud platform, the task requester and the edge server to obtain replication dynamic equations; and third step: establishing a Jacobian matrix to obtain a system stabilization strategy. Through the combination of the cloud platform and the edge server, a transmission amount of remote data is reduced, a time delay of network transmission is reduced, and an operation cost of the network is reduced.

Abstract: A high effective refractive index structure may include one or more high effective refractive index materials disposed on a substrate. The high effective refractive index structure configured to respond to a light received at the high effective refractive index structure by at least generating one or more sub-diffraction limit illumination patterns for illuminating a specimen while one or more frames are captured of the illuminated specimen. The one or more sub-diffraction limit illumination patterns may include one or more speckle patterns. The one or more high effective refractive index materials may exhibit an effective refractive index equal to or greater than 3. Examples of high effective refractive index materials include hyperbolic metamaterial (HMM) multilayers, nanowire based hyperbolic metamaterials, and organic hyperbolic materials (OHM).

Abstract: A photographing apparatus and an inspection device are provided. The photographing apparatus comprises a camera, a light supplementing structure, and a closed housing; the camera is provided with a lens, and positioned in and connected to the housing; the housing is provided with at least one photographing portion configured to be attached to an object to be photographed, and a space is formed between the lens and the photographing portion; the light supplementing structure is positioned in and connected to the housing, the light supplementing structure is configured to emit light to said object through the space and the photographing portion, and the lens is configured to capture an image of said object via the photographing portion. The inspection device comprises a rack and the photographing apparatus, and the housing is connected to the rack.

Abstract: A high effective refractive index structure may include one or more high effective refractive index materials disposed on a substrate. The high effective refractive index structure configured to respond to a light received at the high effective refractive index structure by at least generating one or more sub-diffraction limit illumination patterns for illuminating a specimen while one or more frames are captured of the illuminated specimen. The one or more sub-diffraction limit illumination patterns may include one or more speckle patterns. The one or more high effective refractive index materials may exhibit an effective refractive index equal to or greater than 3. Examples of high effective refractive index materials include hyperbolic metamaterial (HMM) multilayers, nanowire based hyperbolic metamaterials, and organic hyperbolic materials (OHM).

Abstract: The document discloses transferrable hyperbolic metamaterial particles (THMMP) that display broadband, selective, omnidirectional absorption and can be transferred to secondary substrates, allowing enhanced flexibility and selective transmission. A device having metamaterial nanostructures includes a substrate and metamaterial nanostructures engaged to the substrate to form an optical layer to interact with light incident to the optical layer to exhibit optical reflection or absorption or transmission that is substantially uniform over a spectral range of different optical wavelengths associated with materials and structural features of the metamaterial nanostructures, each metamaterial nanostructure including different material layers that are interleaved to form a multi-layer nanostructure.

Abstract: Provided is a decision-making method and system for a suspension operation of a marine riser system based on a digital twin, which belongs to the technical field of marine oil and gas development. The decision-making method includes: acquiring original monitoring data by the sensor group to establish a physical entity structure model; acquiring real-time monitoring data to establish a digital twin model of the physical entity structure; and introducing navigation path and speed of the drilling platform, and a configuration and suspension mode of the riser system, combined with the digital twin model of the marine riser coupling system and a limit performance parameter, providing a suspension operation decision-making model of the riser system, and making a real-time accurate suspension operation decision based on a multi-objective optimization algorithm, so as to guarantee a safe and efficient suspension operation of the riser system.

Abstract: Disclosed is a method for detecting a block chain abnormal behavior based on graph embedding. The method comprises S100: data collection: acquiring public block chain abnormal behavior node data on the Internet, and acquiring normal nodes in a number equal to that of abnormal behavior nodes at the same time; S200: establishment of abnormal behavior recognition model: extracting features of all nodes, constructing the nodes subjected to feature extraction into a transaction graph, and forming the abnormal behavior recognition model based on a graph embedding technology according to the constructed transaction graph; and S300: transaction detection: determining a transaction risk according to the obtained abnormal behavior recognition model when a transaction occurs, and prompting a user of a risk level. According to the method for detecting the block chain abnormal behavior based on graph embedding, abnormal behaviors possibly existing in block chain transactions can be effectively detected and early warned.

Abstract: Disclosed is a method for detecting a block chain abnormal behavior based on graph embedding. The method comprises S100: data collection: acquiring public block chain abnormal behavior node data on the Internet, and acquiring normal nodes in a number equal to that of abnormal behavior nodes at the same time; S200: establishment of abnormal behavior recognition model: extracting features of all nodes, constructing the nodes subjected to feature extraction into a transaction graph, and forming the abnormal behavior recognition model based on a graph embedding technology according to the constructed transaction graph; and S300: transaction detection: determining a transaction risk according to the obtained abnormal behavior recognition model when a transaction occurs, and prompting a user of a risk level. According to the method for detecting the block chain abnormal behavior based on graph embedding, abnormal behaviors possibly existing in block chain transactions can be effectively detected and early warned.

Abstract: The document discloses transferrable hyperbolic metamaterial particles (THMMP) that display broadband, selective, omnidirectional absorption and can be transferred to secondary substrates, allowing enhanced flexibility and selective transmission. A device having metamaterial nanostructures includes a substrate and metamaterial nanostructures engaged to the substrate to form an optical layer to interact with light incident to the optical layer to exhibit optical reflection or absorption or transmission that is substantially uniform over a spectral range of different optical wavelengths associated with materials and structural features of the metamaterial nanostructures, each metamaterial nanostructure including different material layers that are interleaved to form a multi-layer nanostructure.

Abstract: An apparatus, a method, and an optical device for generating light. A conductive quantum well junction is positioned between a first electrode and a second electrode. The conductive quantum well junction is configured to enter into a resonant state to inelastically tunneling one or more electrons. The conductive quantum well junction may include a first dielectric layer, a third conductive layer, and a second dielectric layer. The third conductive layer may be positioned between the first dielectric layer and the second dielectric layer. The first dielectric layer may be coupled to the second electrode and the second dielectric layer is coupled to the first electrode.

Abstract: The present invention relates to a linkage test apparatus for deepwater drilling riser and hang-off system. The linkage test apparatus includes a motion excitation system, a hang-off system and a riser system. The motion excitation system includes a six-degree-of-freedom excitation platform and sensors. The hang-off system includes a hydraulic cylinder actuating mechanism and a hydraulic system. The hydraulic cylinder in the hydraulic cylinder actuating mechanism is composed of an inner cylinder and an outer cylinder and it is fixed on the six-degree-of-freedom excitation platform by a spider. The inner cylinder of the hydraulic cylinder is hollow. A hang-off joint passes through the center of the inner cylinder, and a bottom of the hang-off joint is connected to the riser system via a rotating flange. The riser system is successively connected by multiple riser test joints, and the bottom is suspended with a lower marine riser package model.