Abstract

The present invention provides a vertical copolymer organic semiconductor device having a floating field plate, comprising a substrate, a drain metal electrode, an organic semiconductor layer, a gate dielectric layer, a floating metal field plate, a gate metal electrode and a source metal electrode. A recess is formed at the center of the top of the organic semiconductor layer, and the gate dielectric layer is deposited in the recess; a coaxial recess is formed at the center of the top of the gate dielectric layer, and the gate metal electrode is embedded in the recess; the annular drain metal electrode and the annular source metal electrode are coaxially arranged on the surface of the substrate and the surface of the organic semiconductor layer; the organic semiconductor layer located between the gate metal electrode and the drain metal electrode is formed as a longitudinal drift region; and the floating metal field plate is embedded in the gate dielectric layer, and the longitudinal length of the floating metal field plate can be selected according to voltage withstand requirements. The present invention can increase the width of a depletion layer, weaken the peak value of an electric field, and regulate a breakdown electric field in a drift region, thereby improving the overall voltage withstand performance of devices.

IPC Classes  ?

• H10K 10/46 - Field-effect transistors, e.g. organic thin-film transistors [OTFT]
• H10K 71/12 - Deposition of organic active material using liquid deposition, e.g. spin coating

Abstract

A two-dimensional organic/inorganic heterojunction photodetector and a preparation method thereof belongs to the technical field of photoelectric devices. A few layers of two-dimensional materials are transferred to a substrate as a base material by a mechanical peeling method. A few layers of two-dimensional alloy materials are transferred to one side of the two-dimensional materials on the base material by polydimethylsiloxane (PDMS). Then, the base material is put into a tube furnace. A single organic molecular layer is epitaxially grown on the two-dimensional alloy material by controlling the heating temperature and time to form a heterojunction. Finally, a gold thin film is transferred to the organic molecular layer, so that a photodetector is manufactured. The heterojunctions formed by Van der Waals have fewer defects, which can enhance light absorption without causing carrier capture, enabling photodetectors possesses excellent detection capability, large light absorption, and enhanced photoconductivity.

IPC Classes  ?

• H10K 85/60 - Organic compounds having low molecular weight
• H10K 30/10 - Organic devices sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation comprising heterojunctions between organic semiconductors and inorganic semiconductors
• H10K 30/60 - Organic devices sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation in which radiation controls flow of current through the devices, e.g. photoresistors
• H10K 71/16 - Deposition of organic active material using physical vapour deposition [PVD], e.g. vacuum deposition or sputtering

Abstract

Disclosed are a routing decision method and system based on traffic prediction. The method is used for obtaining each data link to be analyzed between a starting point and an ending point of a direct connection or an indirect connection for forwarding data packets to be forwarded in a target network area, and each node respectively included in each data link to be analyzed; when the target network area receives the data packets to be forwarded, training and obtaining a routing selection model corresponding to said packets for each data link to be analyzed for the direct connection or the indirect connection between the starting point and the ending point in the target network area, respectively; and applying the routing selection model to obtain an optimal forwarding path corresponding to said data packets, and forwarding said data packets.

IPC Classes  ?

• H04W 40/02 - Communication route or path selection, e.g. power-based or shortest path routing

Abstract

The present invention relates to the technical field of wireless communications, and in particular to an intelligent reflecting surface-assisted group selection beamforming method. First, a raccoon position is initialized, and an RIS phase shift matrix is selected. Then, users are grouped on the basis of spatial correlation, and a beamforming matrix and an overall system rate are computed. The RIS phase shift matrix is updated on the basis of an obtained result by means of a raccoon optimization algorithm. The proposed algorithm is iterated multiple times to obtain the maximum overall system rate and a corresponding beamforming matrix. The intelligent reflecting surface-assisted group selection beamforming method provided by the present invention achieves joint optimization of the RIS phase shift matrix and the beamforming matrix by introducing the raccoon optimization algorithm, and solves the problems of slow convergence and susceptibility to local optima of other algorithms. By grouping the users when computing the beamforming matrix, the computational complexity of the system is reduced while inter-user interference is reduced, thereby improving the overall system rate.

IPC Classes  ?

• H04B 7/04 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas

Abstract

The present invention belongs to the technical field of power semiconductors, and relates to a GaN HEMT power device having adaptive charge regulation. In the present invention, a P-type GaN gate structure extending above a drift region is introduced, and a P-type GaN layer brought into contact with a gate electrode performs adaptive regulation on the charge distribution in the drift region, thereby achieving high voltage, low resistance and enhancement. In a turn-off state, a low-potential P-type GaN layer depletes two-dimensional electron gases (2DEGs), such that the 2DEGs in the drift region linearly increase from the gate electrode to a drain electrode, and a device obtains a uniform surface electric field and a high withstand voltage; during forward turn-on, a high-potential P-type GaN layer restores the 2DEGs below, and a turn-on resistance does not increase; and during dynamic switching, the uniform surface electric field alleviates a gate electron injection effect, and the capture of 2DEG channel electrons by a buffer layer trap is inhibited, thereby alleviating a current collapse effect. The present invention has the beneficial effects of: compared with a conventional GaN HEMT device, a higher withstand voltage being achieved without depreciating a turn-on resistance, a dynamic resistance collapse effect being inhibited, and no extra process step being added in the present invention.

IPC Classes  ?

• H10D 30/47 - FETs having zero-dimensional [0D], one-dimensional [1D] or two-dimensional [2D] charge carrier gas channels having 2D charge carrier gas channels, e.g. nanoribbon FETs or high electron mobility transistors [HEMT]
• H10D 64/27 - Electrodes not carrying the current to be rectified, amplified, oscillated or switched, e.g. gates

Abstract

The present invention provides a method for optimization of active and passive beamforming and signal reception configuration of a dual IRSs-assisted ISAC system. By jointly optimizing active beamforming at a base station, the reception of a sensing signal by the base station, and passive beamforming at an IRS, the achievable rate of communication users is maximized while ensuring that the signal-to-noise ratio of the sensing signal meets the minimum requirement. In the present invention, to solve the complex nonconvex problem generated, first, fractional programming is used to decouple an optimization problem, then, a successive convex approximation algorithm and an alternating direction method of multipliers are used to transform an intractable nonconvex problem into multiple tractable subproblems, and finally, an alternative optimization method is used to efficiently solve for a high-quality sub-optimal solution. Simulation results show that the provided solution has good convergence and effectiveness, and the solution can effectively improve the performance of IRS-assisted ISAC systems.

IPC Classes  ?

• H04B 7/04 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas

Abstract

Disclosed in the present invention is a small object detection method based on improved YOLOv8. The small object detection method comprises: inputting, into a pre-trained small object detection model based on improved YOLOv8, a small object image to be subjected to detection for identification, so as to obtain a detection result. A training method for a small object detection model based on improved YOLOv8 comprises: acquiring a small object image dataset, and dividing same into a training set and a validation set; using a backbone network ATDeNet to replace a YOLOv8 backbone network, so as to construct a small object detection model based on improved YOLOv8; and using the training set and the validation set to train the constructed small object detection model, so as to obtain a trained small object detection model based on improved YOLOv8. The accuracy and efficiency of small object detection can be significantly improved.

IPC Classes  ?

• G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]

Abstract

The present disclosure discloses a small target detection method based on improved YOLOv8, including: inputting a small target image to be detected into a pre-trained small target detection model based on the improved YOLOv8 for identification to obtain a detection result, where a method for training a small target detection model based on the improved YOLOv8 includes: acquiring a small target image data set and dividing the small target image data set into a training set and a validation set; replacing a backbone network of YOLOv8 with a backbone network ATDeNet and constructing the small target detection model based on the improved YOLOv8; and training the constructed small target detection model by using the training set and the validation set to obtain a trained small target detection model based on the improved YOLOv8. The accuracy and efficiency of small target detection can be significantly improved.

IPC Classes  ?

• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks

Abstract

Disclosed in the present invention is a facial-image restoration method based on a state space model. The method comprises: inputting into a restoration model a facial image to be restored, so as to obtain a restored facial image, wherein the restoration model comprises an encoder and a decoder, the encoder sequentially comprising a first image fusion module, a first multi-scale state space module, a second image fusion module, a second multi-scale state space module, a third image fusion module and a third multi-scale state space module, and the decoder sequentially comprising a fourth multi-scale state space module, a first multi-scale attention fusion module, a fifth multi-scale state space module, a second multi-scale attention fusion module, a sixth multi-scale state space module and a third multi-scale attention fusion module. The method restores details and textures while ensuring the consistency of facial semantic information, and can achieve a better restoration effect particularly for a low-quality facial image in a real degradation scenario.

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration

Abstract

The present invention discloses a distributed heuristic unmanned cluster brain-like swarm intelligence fusion search and capture method, comprising: step 1: completing single target detection on the basis of a Yolov5 network, and predicting the position of a next frame of target on the basis of a DeepSort algorithm; step 2, on the basis of the distance difference and the area difference, determining, by mapping, navigation end point coordinates formula (1) of an intelligent agent in a physical space; step 3, constructing a diffusion-contraction coordinated chaotic mapping algorithm, and mapping the update of the navigation end point coordinates into a uniformly distributed chaotic space; step 4: on the basis of target detection confidence decision information and regional position information of all intelligent agents, fusing and generating global search information formula (3) of a search space formula (2); step 5: on the basis of the intelligent agent global search information, fusing various sensing data in a multi-agent system, so as to estimate target position information; and step 6: performing measurement on the basis of a real-time position of the intelligent agent and an obstacle position. The present invention has high capture efficiency and can accurately update a capture end point of the intelligent agent to complete a task of encircling a moving target.

IPC Classes  ?

• G06T 7/20 - Analysis of motion

Abstract

622 is first introduced 5s into an RIE plasma etcher to treat the surface of the silicon oxide wafer so as to increase its hydrophilicity, thereby allowing for more uniform spin-coating of SU8. The method is universal to TMDC of different thicknesses and types.

IPC Classes  ?

• B81C 1/00 - Manufacture or treatment of devices or systems in or on a substrate
• G03F 7/00 - Photomechanical, e.g. photolithographic, production of textured or patterned surfaces, e.g. printed surfacesMaterials therefor, e.g. comprising photoresistsApparatus specially adapted therefor
• B82Y 30/00 - Nanotechnology for materials or surface science, e.g. nanocomposites
• B82Y 40/00 - Manufacture or treatment of nanostructures

Abstract

Disclosed are an SERS biosensor based on a CRISPR/Cas13a system and use thereof. The SERS biosensor comprises an SERS sensing chip, a first reagent, a second reagent, a third reagent, and a fourth reagent. The SERS sensing chip is a silver nanorod array substrate with a surface modified with a hairpin-type DNA single chain H1 and a closed molecule 6-mercaptohexanol. The first reagent is an SERS probe and a buffer thereof. The second reagent is a hairpin-type nucleic acid aptamer chain MUC1-apt aqueous solution. The third reagent is a CRISPR/Cas13a system and a buffer thereof. The fourth reagent is a hairpin-type DNA single-chain H2 aqueous solution. The reagents and a gastric cancer exosome sample to be detected are mixed and then dropwise added to the surface of the SERS sensing chip, and sensitive and accurate detection of gastric cancer-related exosomes is achieved by means of the CRISPR/Cas13a system, catalytic hairpin assembly, and SERS enhancement performance of the silver nanorod array substrate.

IPC Classes  ?

• C12Q 1/682 - Signal amplification
• C12Q 1/6886 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
• C12Q 1/6837 - Enzymatic or biochemical coupling of nucleic acids to a solid phase using probe arrays or probe chips
• G01N 21/65 - Raman scattering

Abstract

Disclosed in the present invention are an IPFS-based batch type mirror distribution method and system, and a storage medium, belonging to the field of cloud computing containers. The method comprises: acquiring a list of cluster nodes about to download a mirror, calculating the cache ratio of mirror layers of a mirror to be distributed of each node, and comparing the cache ratio of each node with a threshold value of a preset node, so as to obtain a complete mirror; adding nodes having the complete mirror into a source node list, adding the nodes about to download the mirror into a demand node list, constructing an initial IPFS network on the basis of the nodes in the source node list, and exporting and sharing a mirror file; using an optimization algorithm to calculate target demand nodes, inputting the target demand nodes into the IPFS network for mirror downloading, importing the downloaded mirror file and starting a container; and removing from the demand node list demand nodes that have finished downloading, and adding same into the source node list until the demand node list is empty. The present invention can improve transmission efficiency, and increase the robustness of transmission processes.

IPC Classes  ?

• H04L 67/1095 - Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes

Abstract

Disclosed in the present invention are a pavement distress detection method and apparatus based on YOLOv9 model improvement. The pavement distress detection method comprises: inputting a pavement distress image to be inspected into a trained pavement distress model based on YOLOv9 improvement, and performing identification, so as to obtain a detection result. A method for training the pavement distress model based on YOLOv9 improvement comprises: acquiring a pavement distress image data set, and dividing same into a training set and a verification set; adding an LSKNet module after a specific layer of a YOLOv9 model, and constructing a pavement distress detection model based on YOLOv9 improvement; and using the training set and the verification set to train the constructed pavement distress detection model, so as to obtain the trained pavement distress model based on YOLOv9 improvement. In the present invention, a header network and a backbone network of YOLOv9 are improved, such that YOLOv9 can capture more extensive context information from an image, thereby improving the detection accuracy of pavement distress.

IPC Classes  ?

• G06V 20/58 - Recognition of moving objects or obstacles, e.g. vehicles or pedestriansRecognition of traffic objects, e.g. traffic signs, traffic lights or roads
• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
• G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
• G06N 3/045 - Combinations of networks
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]
• G06N 3/048 - Activation functions
• G06N 3/08 - Learning methods

Abstract

The present application discloses a pavement disease detection method and device based on an improved YOLOv9 model, which includes: inputting a to-be-detected pavement disease image into a trained and improved YOLOv9 model for detecting a pavement disease to recognize the pavement disease, to obtain a detection result; a training method of the improved YOLOv9 model for detecting the pavement disease includes: obtaining a pavement disease image dataset and dividing the pavement disease image dataset into a training set and a validation set; adding an LSKNet module after a specific layer of an original YOLOv9 model to construct the improved YOLOv9 model for detecting the pavement disease; and training the constructed improved YOLOv9 model for detecting the pavement disease by the training set and the validation set to obtain the trained and improved YOLOv9 model for detecting the pavement disease.

IPC Classes  ?

• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
• G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
• G06V 10/776 - ValidationPerformance evaluation
• G06V 20/50 - Context or environment of the image

Abstract

Disclosed are a risk assessment method for a distributed power distribution network considering a line fault and a device thereof, belonging to the field of risk assessment of faults of a power distribution network. The method includes the following steps: establishing a wind generating set output model, a photovoltaic module output model and a load model, and generating a wind generating set output data sample, a photovoltaic module output data sample and a load sample; establishing a short-term fault rate model of a wind generating set, a photovoltaic module and a line, and generating a system state sample; establishing an objective function and a constraint condition, and reconstructing the power distribution network to obtain the reconstructed power distribution network topology; carrying out the risk assessment and an entropy weight method.

IPC Classes  ?

• H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
• H02J 3/38 - Arrangements for parallelly feeding a single network by two or more generators, converters or transformers

Abstract

The present invention relates to the technical field of ERP security, and disclosed is a blockchain data-based seal data encryption security system using a user role model. To solve the problems of information leakage in an enterprise seal usage process, information leakage in a storage server, and information leakage in a service process, a user role model and an attribute-based encryption algorithm are combined, so that the security of information protection is improved, and each assigned role in the user role model can obtain corresponding information according to an access permission, allowing information in the entire seal usage process to be traceable.

IPC Classes  ?

• G06F 21/60 - Protecting data

Abstract

An adaptive load balancing (ALB) ground user (GU) access method for an unmanned-aerial-vehicle-assisted network. By means of an unmanned aerial vehicle deployment algorithm based on a deep Q-learning network (DQN), and ALB for GU access, a GU access problem in a BS-UAV-NTN is converted into a maximization problem, and the maximization problem is converted into a Markov decision process (MDP) problem for unmanned aerial vehicle deployment in an unknown environment. The method comprises an unmanned aerial vehicle deployment algorithm based on a DQN, and an access scheme for performing priority ranking on BSs and unmanned aerial vehicles. A simulation result shows that the access scheme is superior to conventional Q-learning and random schemes in the reward aspect, and the number of access GUs.

IPC Classes  ?

• H04W 28/08 - Load balancing or load distribution
• H04W 28/086 - Load balancing or load distribution among access entities
• H04W 4/40 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]

Abstract

An in-situ membrane protein dimerization state detection kit and the use thereof. The kit comprises a membrane protein anchor chain, a recognition probe and a SERS tag. Catalytic hairpin assembly is triggered by means of adjacent hybridization of the membrane protein anchor chain, which carries an adaptor sequence, during membrane protein dimerization to form a networked assembly of the recognition probe and the SERS tag, thereby performing SERS detection and imaging on a highly specific event in a cell communication process, namely the membrane protein dimerization. The kit is suitable for high-sensitivity monitoring of intercellular signaling based on membrane protein dimerization in a complex cell microenvironment.

IPC Classes  ?

• G01N 33/68 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving proteins, peptides or amino acids
• B82Y 15/00 - Nanotechnology for interacting, sensing or actuating, e.g. quantum dots as markers in protein assays or molecular motors
• C12Q 1/6841 - In situ hybridisation
• G01N 21/65 - Raman scattering
• G01N 33/543 - ImmunoassayBiospecific binding assayMaterials therefor with an insoluble carrier for immobilising immunochemicals

Abstract

The present application relates to a method for measuring a Noise RMS of a periodic signal and a signal-to-noise ratio of a sinusoidal signal. The technical points of the method comprise: respectively executing signal noise measurement on a target periodic digital signal and a target periodic analog signal; obtaining a series of zero-crossing points of electrical signals, performing analog-to-digital conversion once at a relative time determined by means of the series of zero-crossing points; and further calculating the noise of the periodic signals by means of a series of analog-to-digital conversion results. The method further comprises: respectively executing signal-to-noise ratio measurement on a target sinusoidal digital signal and a target sinusoidal analog signal; obtaining a series of zero-crossing points of electrical signals; according to each zero-crossing point, calculating the frequency or period of the electric signal; and then performing calculation to obtain a signal-to-noise ratio of a sinusoidal signal.

IPC Classes  ?

• H04B 17/336 - Signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]
• G01R 29/26 - Measuring noise figureMeasuring signal-to-noise ratio

Abstract

The present invention belongs to the technical field of building integrated energy. Disclosed is a virtual energy storage-considered double-layer optimization scheduling method for a building integrated energy system, the method comprising: constructing an energy hub-based low-carbon building integrated energy system containing wind-solar energy storage and energy conversion devices; comprehensively analyzing characteristics of loads of the system to improve the demand response capability thereof; further providing a double-layer optimization model containing an upper-layer energy operator pricing layer and a lower-layer building user optimization layer, building virtual energy storage and building user comfort indicators being considered in said model to improve the system scheduling flexibility so as to construct an overall user satisfaction indicator; and finally, solving the double-layer optimization model to optimize device contributes, demand responses and electricity purchasing and selling plans of the building integrated energy system, so as to obtain an optimal scheduling policy. The present invention can finely regulate and control various loads of the building integrated energy system, thus improving the energy utilization efficiency, alleviating the power supply pressure of the system, and achieving the purposes of energy conservation and emission reduction of buildings.

IPC Classes  ?

• G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations

Abstract

The present invention relates to computer vision. Disclosed is an eye fundus image feature point matching method based on an improved feature descriptor and KNN search. The method comprises: inputting an eye fundus image set requiring stitching, and performing image preprocessing on the image set to obtain an eye fundus representation image; constructing an improved image scale space pyramid, comparing pixel values of the eye fundus representation image by using a difference of Gaussian pyramid technique to preliminarily determine an extreme point, determining the position and direction of a key pixel point, and generating a feature descriptor by using an improved feature vector; and searching for the nearest and second-nearest neighbor matching points of a key point in each group of eye fundus images by means of a KNN algorithm, eliminating erroneous matching, and retaining a high-quality matching pair. The present invention achieves efficient processing and feature extraction of eye fundus images, optimizes the gray scale distribution of images, and improves the contrast and information expression capability of images; and in addition, the matching effect of key points in images is remarkably improved, and mismatching is eliminated by means of a distance ratio determination mechanism, thereby ensuring the reliability of a matching result.

IPC Classes  ?

• G06V 40/18 - Eye characteristics, e.g. of the iris

Abstract

Disclosed in the present invention are a multimodal industrial data fusion method and system for discrete manufacturing. The method comprises: collecting discrete manufacturing industrial multimodal data in real time, performing feature extraction to obtain feature data, and inputting the feature data into a differentiable computer network to obtain a data fusion result, wherein a differentiable computer is further used for accomplishing a prediction objective on the basis of the data fusion result, and the differentiable computer network comprises a data fusion module and a memory system, the data fusion module fusing the feature data in an agent, and the memory system being used for storing and reading/writing refused data in the agent; and inputting the data in the memory system into an evaluation system to calculate a reward value, guiding the agent in data fusion on the basis of the reward value, and updating the memory system. The present invention increases the capacity of a memory system without leading to an increase in training parameters, and fuses complex multimodal industrial data, thereby facilitating decision-making in the discrete manufacturing industry.

IPC Classes  ?

• G06N 3/04 - Architecture, e.g. interconnection topology
• G06F 18/25 - Fusion techniques

Abstract

An industrial data hybrid model construction method and system for discrete manufacturing. The method comprises: firstly, collecting discrete manufacturing industrial data in real time, and performing feature extraction to obtain a feature vector; then, separately inputting feature data into a first model and a second model to obtain a first output and a second output; and performing weighted summation on the first output and the second output to obtain an industrial data hybrid model. The first model is used for obtaining a fitting curve of the feature data in a discrete space, and the second model is used for using a decision tree as a weak learner to perform ensemble learning on the feature data. Regarding the characteristic of service scenarios in the discrete manufacturing industry being complex and variable, the flexibility of intelligent data inference is improved.

IPC Classes  ?

• G06Q 10/067 - Enterprise or organisation modelling
• G06Q 50/04 - Manufacturing
• G06F 18/213 - Feature extraction, e.g. by transforming the feature spaceSummarisationMappings, e.g. subspace methods
• G06N 5/01 - Dynamic search techniquesHeuristicsDynamic treesBranch-and-bound
• G06F 18/2431 - Multiple classes

Abstract

A multi-dimensional data prediction method and system for a discrete manufacturing workshop. The method comprises the following steps: obtaining an original data set; using a DBSCAN algorithm to perform clustering on the original data set, so as to obtain a plurality of data clusters, and establishing corresponding labels for the data clusters; searching for association relationships between the labels, so as to constitute data knowledge; deleting redundant data from all the data knowledge, so as to form a knowledge network; obtaining original data which is cleaned in step S1 and corresponds to labels included in the data knowledge; initializing the weight of a BP network structure, so as to obtain an initial model; obtaining a final prediction model; and acquiring original data of discrete manufacturing to be processed, and inputting same into the prediction model, and the prediction model outputting a prediction result. By means of a qualitative cognition method and a quantitative and qualitative two-stage cognition method, the method solves the problems of a large data volume and large dimensions of a discrete manufacturing workshop in a divide-and-rule mode, reduces the calculation cost, and can efficiently mine valuable information required for prediction.

IPC Classes  ?

• G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
• G06N 5/01 - Dynamic search techniquesHeuristicsDynamic treesBranch-and-bound
• G06Q 50/04 - Manufacturing
• G06F 18/10 - Pre-processingData cleansing
• G06F 18/2321 - Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
• G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
• G06F 18/241 - Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
• G06F 18/26 - Discovering frequent patterns
• G06N 3/0499 - Feedforward networks
• G06N 3/084 - Backpropagation, e.g. using gradient descent

Abstract

Disclosed in the present invention is a face image restoration method based on semantic features. The method comprises the following steps: acquiring a face image to be restored; and inputting said face image into a trained restoration model to obtain a restored face image. The restoration model comprises: an encoder, used for generating low-quality face semantic features on the basis of a face image to be restored; a reference image generator, used for generating, on the basis of the low-quality face semantic features, a plurality of high-quality face reference images by inputting random noise; a feature transfer device, used for constructing a face component feature dictionary on the basis of the plurality of high-quality face reference images, and transferring the high-quality component features in the face component feature dictionary into the low-quality face semantic features to obtain high-quality face semantic features; and a decoder, used for generating a restored face image on the basis of the high-quality face semantic features. The consistency of face semantic information is ensured while the details of a restoration result and the texture are ensured, and a high evaluation index score and a high-quality visual effect can be obtained in a real scene.

IPC Classes  ?

• G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions

Abstract

Disclosed in the present invention is a universal test chiplet, used for testing a plurality of chiplets to be tested. The test chiplet comprises a chiplet test control circuit module, a test data distribution circuit module, a memory test configuration circuit module, and a chiplet test interface circuit module; the chiplet test control circuit module is configured to provide test data for the chiplets to be tested and configure a test mode; the test data distribution circuit module is configured to distribute, from a test data bus, test data required for each chiplet to be tested; the memory test configuration circuit module is configured to provide a test circuit for a memory of the chiplet to be tested and automatically generate a test vector; the chiplet test interface circuit module is configured to transmit, for the chiplet to be tested, the test data in any of upper, lower, left and right directions by means of a universal chiplet test interface. According to the present invention, shared test resources required by a chiplet system are embedded into the system, thereby satisfying the plug-and-play strategy of the test of the chiplet system, and providing a comprehensive, flexible and efficient test scheme for the chiplet system.

IPC Classes  ?

• G01R 31/3185 - Reconfiguring for testing, e.g. LSSD, partitioning
• G11C 29/56 - External testing equipment for static stores, e.g. automatic test equipment [ATE]Interfaces therefor
• G11C 29/54 - Arrangements for designing test circuits, e.g. design for test [DFT] tools

Abstract

Disclosed in the present invention is a power allocation method based on a cell-free massive MIMO short-packet communication system. The method comprises: on the basis of a Rayleigh fading channel model under channel aging, deriving an expression for a downlink achievable rate of a cell-free massive MIMO short-packet communication system under user mobility; with the goal of maximizing a minimum user rate, proposing a downlink power allocation method; and on the basis of a successive convex approximation method and geometric programming, performing iterative solving, wherein an obtained solution is used as a final power allocation result for calculating the rate of each user. The present invention maximizes a minimum user achievable rate of users in a system, effectively solves the problem of uneven quality of service for the users, enhances system fairness, and also has a relatively high convergence rate.

IPC Classes  ?

• H04B 7/0426 - Power distribution
• H04B 7/0452 - Multi-user MIMO systems
• H04B 17/391 - Modelling the propagation channel
• H04W 52/30 - Transmission power control [TPC] using constraints in the total amount of available transmission power

Abstract

The present invention relates to the technical field of photoelectric devices. Disclosed are a two-dimensional organic/inorganic heterojunction photodetector and a preparation method therefor. According to the present application, a few-layer two-dimensional material is transferred onto a substrate as a base material by means of a mechanical exfoliation method, a few-layer two-dimensional alloy material is transferred to one side of the two-dimensional material as the base material by means of PDMS, then the base material is put into a tubular furnace, to accurately epitaxially grow a single organic molecular layer on the two-dimensional alloy material by controlling the heating temperature and time to form a heterojunction, and finally gold films are transferred onto the organic molecular layer to obtain the photodetector. The heterojunction formed by the Van Der Waals epitaxially grown organic molecular layer and the two-dimensional alloy material is nearly defect-free, and can enhance light absorption without causing carrier trapping; thus, the photodetector has excellent detection capabilities, high light absorption and photoconductive gain, and a high response speed, can achieve high-frame-rate imaging under low-light conditions, and has broad application prospects in the field of imaging.

IPC Classes  ?

• H10K 30/10 - Organic devices sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation comprising heterojunctions between organic semiconductors and inorganic semiconductors

Abstract

The present invention relates to the technical field of artificial intelligence. Disclosed are a method and apparatus for generating an image having a personalized style, and a storage medium, aiming at solving the technical problems of quality and accuracy of a generated image. The method comprises: selecting a style image, and inputting the style image into a pre-constructed VGG19_f3 network model to obtain feature maps having different sizes; calculating a Gram matrix of the feature maps to extract style information of the feature maps; inputting a code of a text obtained by a text encoder, a noise image, and the style information into a pre-constructed noise prediction network with a style guide module, to perform noise prediction so as to obtain predicted noise; and using the predicted noise to perform repeated denoising operation on the noise image to obtain a latent space image, and decoding the latent space image by means of an image decoder of an SD to obtain a finally generated image having a personalized style. According to the present invention, a model can generate, in an end-to-end mode, an image having a personalized style, so that the model has a stronger style personalization capability, and the quality and accuracy of a generated image are ensured.

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation
• G06T 11/60 - Editing figures and textCombining figures or text
• G06T 5/70 - DenoisingSmoothing
• G06N 3/04 - Architecture, e.g. interconnection topology

Abstract

A frequency-multiplicable swept source with a large scanning range, the swept source comprising: a ring cavity for generating fundamental-frequency swept laser, an optical frequency-multiplying module for multiplying a scanning rate, and a boosting-type semiconductor optical amplification module used for enhancing an output power. The swept source enables, by means of driving a rapid-scan filter, the ring cavity to generate swept laser having a sweep rate of 41 kHz and a sweep range of 97 nm; and by means of an optical frequency multiplier, the sweep rate of the optical pulse triples to reach 124 kHz, and the output power thereof reaches 20 mw or above. The swept source also enables the sweep range to reach the maximum FSR of the rapid-scan filter while using an optical frequency-multiplying means, thereby overcoming the problem of the sweep range not reaching the FSR when light-source duty cycle modulation is used for performing frequency multiplying on the swept source; in addition, the problem of the sweep range being lower than the maximum FSR where the rapid-scan filter is not at a resonant frequency can also be solved, thereby satisfying the performance requirements of an OCT system in the current market. Moreover, the structure of the swept source is mostly made of optical fibers and is thus easily integrated as a whole.

IPC Classes  ?

• H01S 3/109 - Frequency multiplication, e.g. harmonic generation

Abstract

Disclosed are a relay communication power allocation method driven by multi-microgrid operation services and a system thereof. The method includes the following steps: constructing a real transmission rate model of each microgrid gateway according to a cooperative relay working mode; constructing a data loss rate model of each microgrid gateway according to the real transmission rate model of each microgrid gateway; dividing the importance of each microgrid operation service according to the influence of each microgrid operation service on the power of the power grid; constructing a relay communication power optimization allocation model by using the importance of each microgrid operation service and the data loss rate model of each microgrid gateway; and solving the relay communication power optimization allocation model by using a successive convex approximation method to obtain the relay communication power optimization allocation result.

IPC Classes  ?

• H04W 52/02 - Power saving arrangements
• H04L 43/065 - Generation of reports related to network devices
• H04L 43/0829 - Packet loss
• H04W 52/24 - TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters
• G06Q 50/06 - Energy or water supply
• H02J 3/32 - Arrangements for balancing the load in a network by storage of energy using batteries with converting means

Abstract

A communication networking method applicable to wide-area decentralized charging piles includes: initializing the total number of wide-area decentralized charging piles and coordinate parameters thereof; initializing related parameters of a hybrid learning network, and predicting and judging optimal networking nodes of the charging piles by using the hybrid learning network; and performing connection according to the optimal networking nodes, so as to form a communication network of the wide-area decentralized charging piles. With regard to the communication networking applicable to the wide-area decentralized charging piles, the communication networking method evaluates a channel environment between the wide-area decentralized charging piles, and screens out optimal master nodes according to the quality of a communication environment between the charging piles, so as to form a communication networking scheme of the wide-area decentralized charging piles. In this way, when the distances between the charging piles are relatively large, the communication reliability can be guaranteed.

IPC Classes  ?

• H04L 41/14 - Network analysis or design
• H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence

Abstract

Disclosed are a service demand-driven routing scheduling and dynamic selection method and system for active distribution network. The method includes: evaluating a physical importance index and an information importance index of each service traffic according to a physical influence and an information demand of each issued service traffic, comprehensively taking into account the physical importance index and the information importance index to obtain a comprehensive importance index, and ranking the comprehensive importance index to obtain a ranked service traffic set; quantizing the real-time performance and the reliability of a route link and generating a route distance matrix; inputting the ranked service traffic set and the route distance matrix into a route scheduling optimization model, and generating a route scheduling scheme of the overall service traffic based on a principle of service traffic importance and route path performance matching.

IPC Classes  ?

• H04L 45/00 - Routing or path finding of packets in data switching networks
• H04L 47/24 - Traffic characterised by specific attributes, e.g. priority or QoS
• H04L 49/101 - Packet switching elements characterised by the switching fabric construction using crossbar or matrix
• H04W 40/02 - Communication route or path selection, e.g. power-based or shortest path routing

Abstract

A multi-time scale voltage control method for an active distribution network is provided. The method comprises: establishing a voltage optimization approach taking into account a large scale of distributed power supplies to realize cooperative dynamic control in case of a voltage violation generated when the distributed power supplies are incorporated into a distribution network; under a long time scale, establishing a voltage control model for controlling a capacitor bank based on voltage sensitivity analysis to realize drastic voltage regulation in case of the voltage violation by means of reactive power compensation; and under a short time scale, establishing a distributed voltage control model, and considering the problem of voltage violation, solving an optimal control strategy online by fully using active and reactive power outputs of the distributed power supplies to realize quick voltage regulation.

IPC Classes  ?

• H02J 3/46 - Controlling the sharing of output between the generators, converters, or transformers
• H02J 3/16 - Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power

Abstract

Disclosed in the present invention are a communication networking method and system applicable to widely dispersed charging piles. The method comprises: initializing the total number of widely dispersed charging piles and coordinate parameters thereof; initializing related parameters of a hybrid learning network and using the hybrid learning network to predict and determine optimal networking nodes of the charging piles; and according to the optimal networking nodes, connecting same to form communication networking of the widely dispersed charging piles. The present invention targets communication networking applicable to widely dispersed charging piles, whereby the channel environment between the widely dispersed charging piles is evaluated, and optimal main nodes are selected on the basis of the quality of the communication environment between the charging piles, thereby forming a communication networking scheme for the widely dispersed charging piles, thus overcoming the defect whereby communication reliability cannot be guaranteed when charging piles are far apart and widely dispersed, and laying the foundation for comprehensively realizing communication networking of electric vehicles in a later period.

IPC Classes  ?

• H04W 24/02 - Arrangements for optimising operational condition
• H04W 84/18 - Self-organising networks, e.g. ad hoc networks or sensor networks

Abstract

The present invention relates to the technical field of mobile edge computing. Disclosed are a scheduling optimization method and system for vehicular edge computing. The method comprises: acquiring a region set and a vehicular edge server set, and establishing a network model; quantifying the service requirement completion situation of each region on the basis of a usage satisfaction degree of the region, and establishing a satisfaction degree model; formalizing a satisfaction degree maximization problem under a given traveling time constraint; converting the satisfaction degree maximization problem into a matching problem, and proving that the matching problem is a non-negative monotone submodular function maximization problem constrained by a partition matroid; and determining a scheduling scheme for vehicular edge servers by means of a scheduling optimization algorithm. In the present invention, the scheduling scheme is planned by taking the satisfaction degree as an objective, the dynamic nature and diversity of requirements of regions can both be taken into consideration, a region satisfaction problem is formalized, and under the limitation of a traveling time, the satisfaction degrees of all the regions are maximized.

IPC Classes  ?

• G06F 9/48 - Program initiatingProgram switching, e.g. by interrupt
• G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]

Abstract

The present invention belongs to the technical field of communication networks. Disclosed is an adaptive split federated learning method for a distributed AI training service in a 6G computing power network. The method comprises: establishing a 6G computing power network model, and constructing an adaptive split federated learning model for a distributed AI training service; analyzing the delays of each intelligent terminal in a model training stage and a model aggregation stage; constructing a total service delay minimization optimization problem; and using a shortest-path search algorithm to perform joint optimization on model segmentation modes, cooperative node selection modes and multi-domain resource scheduling modes in the model training stage and the model aggregation stage. In the present invention, by means of joint optimization of a model segmentation mode, node selection and multi-dimensional resource allocation in a multi-base-station scenario, the problem of network congestion caused by a single-base-station learning framework processing the aggregation of a large number of intelligent terminal models is alleviated, and the present invention adapts to the heterogeneous computing power of intelligent terminals and the differentiated channel quality in an actual network, thereby improving the efficiency and generalization capability of model training.

IPC Classes  ?

• H04W 28/08 - Load balancing or load distribution

Abstract

Disclosed in the present invention are an unmanned-aerial-vehicle on-demand spectrum transaction system and method based on a two-level Stackelberg game. The system comprises: a macro base station, which serves as an authority and is used for supervising a spectrum transaction; a micro base station, which is used for storing and managing general movement situations and resource states of unmanned aerial vehicles in a region, and uploading to the macro base station transaction records of spectrum resource buyers and sellers, wherein an unmanned aerial vehicle chooses to become a transaction subject on the basis of its own spectrum resource conditions and resource demands, a participant with an increased communication demand serves as a buyer of an unmanned-aerial-vehicle spectrum, and a participant having free spectrum resources becomes a provider of the unmanned-aerial-vehicle spectrum; and an unmanned-aerial-vehicle user that is used for providing a communication service for a mobile user to satisfy user demands having low latency requirements. In the present invention, an optimal pricing and transaction volume strategy in a two-level Stackelberg game is effectively calculated by using a gradient-based iterative search algorithm, and a higher total system utility is obtained and the requirements of users for a transmission rate and quality of service are satisfied, thereby improving the spectrum transaction volume and the spectrum utilization rate.

IPC Classes  ?

• G06Q 30/0201 - Market modellingMarket analysisCollecting market data
• H04W 16/14 - Spectrum sharing arrangements

Abstract

An anti-Doppler-frequency-shift near-field wireless communication beamforming method for the Internet of Vehicles. The method comprises: 1) determining boundaries of a far-field area and a near-field area in a coverage area; 2) determining whether a mobile terminal is located within the near-field area; 3) determining the distance from a vehicle to the center of an antenna array, the complementary angle of the included angle between the vehicle and the plane of the antenna array, and the speed of the vehicle traveling along a straight line; 4) determining the distance L(x,y) between the moving vehicle and each antenna unit in the super-large-scale antenna array of a base station; 5) determining a channel expression from each antenna unit in the super-large-scale antenna array of the base station to the moving vehicle; 6) adjusting beamforming parameters, and performing beamforming control on array antennas; and 7) updating information on the basis of the periodic location of the mobile terminal. The method is a near-field wireless communication beamforming method based on a super-large-scale array antenna, and enhances the data transmission guarantee for the Internet of Vehicles in an urban environment.

IPC Classes  ?

• H04B 7/06 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station

Abstract

Disclosed in the present invention is a crystal oscillator based on duty ratio measurement, comprising a first inverter, a resistor, a first load capacitor, a second load capacitor, first to fourth switches, a quartz crystal, a buffer, a sampling and holding module, a first comparator, a second comparator, a phase conversion module, a digital control module, and an energy injection module. One end of the quartz crystal is used for signal injection, a signal at the other end of the quartz crystal is sampled and processed, information representing phase error accumulation, i.e., a signal of which the duty ratio is continuously changing, is obtained by means of the first comparator, and finally the duty ratio is measured by means of the phase conversion module and the second comparator, so as to obtain an accurate moment of phase switching.

IPC Classes  ?

• H03B 5/04 - Modifications of generator to compensate for variations in physical values, e.g. power supply, load, temperature
• H03B 5/32 - Generation of oscillations using amplifier with regenerative feedback from output to input with frequency-determining element being electromechanical resonator being a piezoelectric resonator

Abstract

An electric-thermal integrated energy control method is provided. The method comprises predicting renewable energy and multivariate loads in an integrated energy system based on a pretrained SA-PSO-BP neural network; constructing an objective function of the integrated energy system, and adding power network constraints and heat network constraints for optimal scheduling; and obtaining an optimal solution of the objective function by means of a SA-PSO algorithm based on prediction results of the renewable energy and the multivariate loads, and controlling the integrated energy system according to the optimal solution of the objective function; wherein, a training process of the SA-PSO-BP neural network comprises: training a BP neural network by means of a feature training set, and iterating and updating weights and thresholds in the BP neural network in the training process by means of the SA-PSO algorithm to obtain the SA-PSO-BP neural network.

IPC Classes  ?

• G06Q 50/06 - Energy or water supply
• G06N 3/08 - Learning methods
• G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"

Abstract

A path planning method for a multi-unmanned-aerial-vehicle collaborative maritime search. The method comprises: acquiring and analyzing related ocean current information of a region to be searched, and establishing an ocean current model on the basis of the obtained ocean current information (step 1); on the basis of the region to be searched, a command and control center establishing a grid map by taking a grid cell as a unit, and then establishing a target probability map on the basis of the related ocean current information of the region to be searched, prior target information and the grid map, wherein the target probability map provides the probability of a prior target being present in any grid cell (step 2); if there is an obstacle in the region to be searched, the obstacle being represented by an irregular polygon, generating a segmentation line for region division by taking a vertex of the irregular polygon as one end point of the segmentation line and also meeting a limiting constraint condition for region division, so as to divide the region to be searched into Nr sub-regions, and the command and control center allocating a sub-region to each unmanned aerial vehicle on the basis of the performance of the unmanned aerial vehicle by using a static allocation strategy (step 3); after the sub-region is allocated to each unmanned aerial vehicle, the command and control center planning a cross-regional shortest path for each unmanned aerial vehicle and using a path planning method to plan an unmanned aerial vehicle coverage path, so as to implement a single-region shortest-time coverage path (step 4); and monitoring the endurance state of each unmanned aerial vehicle during the process of executing a search task, and if it is found that the endurance capability is insufficient, recalling the unmanned aerial vehicle, and if a target is found or the search task is completed, recalling the unmanned aerial vehicle and returning to target coordinates (step 5).

IPC Classes  ?

• G05D 1/46 - Control of position or course in three dimensions

Abstract

The present invention belongs to the technical field of power system automation. Disclosed is a low-voltage distribution network topology identification method based on an interval type-2 fuzzy clustering algorithm. The method comprises: on the basis of longitude and latitude geographic information of end-users and distribution transformers in a power GIS, and combined with radiation shapes of distribution transformer areas, preliminarily determining topological connection relationships between the end-users and the distribution transformer areas; for users with possible power resupply or load transfer and uncertain affiliation, performing anomaly factor detection of voltage data, so as to filter out user data not belonging to a transformer area to be analyzed; and introducing a correlation coefficient, forming an improved interval type-2 fuzzy clustering algorithm, and determining "transformer-user" topology identification. The present invention can realize accurate identification of the phase affiliation of users in low-voltage transformer areas, thereby effectively improving the accuracy of user identification; and the present invention can maintain relatively high stability in different data environments.

IPC Classes  ?

• H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
• G06F 18/2433 - Single-class perspective, e.g. one-against-all classificationNovelty detectionOutlier detection
• G06F 18/2337 - Non-hierarchical techniques using fuzzy logic, i.e. fuzzy clustering

Abstract

Provided is a low-illumination image adaptive enhancement method, an apparatus thereof, a device and a storage medium. The method includes: inputting a low-illumination image to be enhanced into a pre-trained low-illumination image adaptive enhancement model to obtain an enhanced image. A method of training the low-illumination image adaptive enhancement model includes: acquiring a training set containing the low-illumination image and the corresponding reference image; constructing the low-illumination image adaptive enhancement model based on a Retinex algorithm. The low-illumination image adaptive enhancement model includes a projection module, an illumination component module, a reflectance component module and an enhancement module. The training set is used to train the low-illumination image adaptive enhancement model, and the trained low-illumination image adaptive enhancement model is obtained. The brightness and the contrast of the image are enhanced, and at the same time, the color and structure information of the image is restored effectively.

IPC Classes  ?

• G06T 5/60 - Image enhancement or restoration using machine learning, e.g. neural networks
• G06T 5/50 - Image enhancement or restoration using two or more images, e.g. averaging or subtraction
• G06T 5/70 - DenoisingSmoothing

Abstract

Provided are a cluster air conditioner collaborative control method and apparatus, and a storage medium. The method comprises: under the constraint of a peak regulation market and a carbon market, obtaining the total income of an air conditioner aggregator on the basis of a peak regulation income of a peak regulation response stage, a rebound fluctuation reward and punishment income of a rebound optimization stage, an income of the carbon market and the total compensation cost of an air conditioner user; by using the maximization of the total income of the air conditioner aggregator as an objective, constructing a cluster air conditioner collaborative control model oriented to two stages of peak regulation response-rebound optimization; using a particle swarm algorithm to obtain an optimal solution of the cluster air conditioner collaborative control model to serve as an optimal temperature regulation strategy of cluster air conditioners; and performing collaborative control on all the regulatable cluster air conditioners on the basis of the optimal temperature regulation strategy of the cluster air conditioners.

IPC Classes  ?

• F24F 11/64 - Electronic processing using pre-stored data
• G06Q 30/0201 - Market modellingMarket analysisCollecting market data
• G06Q 50/06 - Energy or water supply
• G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
• G06N 3/006 - Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
• G05B 13/04 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators

Abstract

Disclosed in the present invention is a DBT reconstruction method based on registration of multi-angle projection. The method comprises the following steps: acquiring multi-angle projection data; preprocessing the projection data on the basis of Beer-Lambert law, so as to obtain preprocessed projection data; performing block coordinate translation processing on the preprocessed projection data on the basis of a displacement amount registration method for isocenter circular motion, so as to obtain translated projection data; performing image interpolation processing on a vacant pixel value in the translated projection data, so as to obtain interpolated projection data; and on the basis of the interpolated projection data and a DBT reconstruction algorithm, obtaining reconstructed DBT layers and outputting same. By means of acquiring multi-angle projection data and on the basis of a displacement amount registration method for isocenter circular motion, center projection is standardized, and different magnification requirements of projection at different angles in respect of reconstructed layers are met, so that the contrast is higher, the texture of focused reconstructed layers is clearer, the boundaries thereof are clearer, and it is less prone to generate artifacts.

IPC Classes  ?

• G06T 7/33 - Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods

Abstract

The present invention discloses a method for constructing an intelligent computation engine of an artificial intelligence cross-platform model based on knowledge self-evolution. The method comprises: determining source and target moments; dividing a discrete manufacturing system data set; initializing a dynamic discrete manufacturing system model; preprocessing data and constructing a task pool; constructing a meta learning framework; migrating a trained neural network to new tasks; iterating until convergence and storing model parameters; and testing in a new environment. This invention shortens the convergence time of model parameters, significantly benefiting the training of dynamic discrete manufacturing models subject to temporal disturbances in actual production.

IPC Classes  ?

• G06N 3/092 - Reinforcement learning

Abstract

Disclosed in the present invention is an SDN-architecture-based routing method for guaranteeing network QoS. The method comprises: on the basis of network topology information, performing abstraction to obtain a directed graph; then, on the basis of an improved K-means algorithm, dividing data into mouse flows, elephant flows and mammoth flows; defining a traffic transmission constraint condition; constructing a DQN neural network; training the DQN neural network by using the maximum Q value, which corresponds to an action a having the maximum reward function R, as an objective, so as to obtain a QoS guarantee routing model; obtaining an optimal path weight value; determining a data packet sending path on the basis a Dijkstra algorithm; and finally issuing path information to a switch. The present invention avoids the situations in which data processing performed by using a conventional K-means algorithm is not stable enough and a classification result is not accurate enough. During the training of a DQN neural network, data is extracted from an experience pool according to the priority of data, such that the neural network pays more attention to important data, thereby improving the learning efficiency of the neural network and the performance of the algorithm.

IPC Classes  ?

• H04L 45/302 - Route determination based on requested QoS

Abstract

Disclosed in the present invention is a microfluidic antenna with a reconfigurable frequency and directivity pattern. The microfluidic reconfigurable antenna consists of six parts, which are a metal floor, a metal radiation patch, a top reflector, a middle dielectric substrate, a coaxial feeder line penetrating the dielectric substrate, and an annular microfluidic channel packaged with a magnetic liquid metal column, respectively. Different modes can be excited by means of manipulating the length of the magnetic liquid metal column in the microfluidic channel, thus realizing the switching between radiation frequency bands; an antenna directivity pattern is reconfigured by means of manipulating the position of the magnetic liquid metal column; the microfluidic antenna involves main beam switching in a total of ten azimuthal planes within three bands of 5.98-6.10 GHz, 6.08-6.23 GHz and 6.85-7.47 GHz, and the maximum gain values in the states of the three bands are 8.5 dB, 7.4 dB and 8.1 dB, respectively; and the front-to-back ratios are 13 dB, 17 dB and 16 dB, respectively. The present invention has the characteristics of a simple structure, easy integration, a good performance, no introduction of extra distortion, low noise, a high-power operation capability and flexible application.

IPC Classes  ?

• H01Q 1/36 - Structural form of radiating elements, e.g. cone, spiral, umbrella

Abstract

A first sector patch and a second sector patch are loaded on a dielectric substrate having any dielectric constant. The circumferences of the first sector patch and the second sector patch are connected to the dielectric substrate by means of vertical shorting walls, respectively. Notches, a coaxial feeding probe, and a shorting pin are loaded on the first sector patch, so that the first three radiation patterns of the antenna are excited, disturbed and aggregated, and radiation null points which can be scanned along with a frequency change are symmetrically generated on a horizontal plane; moreover, addition of the second sector patch realizes a single-direction null frequency scanning function on the horizontal plane.

IPC Classes  ?

• H01Q 3/26 - Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an antenna or antenna system varying the relative phase or relative amplitude of energisation between two or more active radiating elementsArrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an antenna or antenna system varying the distribution of energy across a radiating aperture
• H01Q 1/38 - Structural form of radiating elements, e.g. cone, spiral, umbrella formed by a conductive layer on an insulating support
• H01Q 1/50 - Structural association of antennas with earthing switches, lead-in devices or lightning protectors

Abstract

Provided is a road crack detection method, a medium and a product. The lightweight YOLO-MCS road crack detection model is constructed based on an improved yolov8 network. A method of improving the yolov8 network includes: replacing a feature extraction network backbone with a lightweight convolutional neural network MobileNetV3, and embedding a Coordinate Attention Mechanism (CA) module in the lightweight convolutional neural network MobileNetV3; adding a small target detection layer and a Squeeze and Excitation (SE) module at a neck end; and introducing a loss function of power Intersection over Union (IoU) into a head prediction structure. The road crack detection method overcomes the problem that the existing detection algorithm has low detection precision for small cracks and is difficult to be applied to edge devices with limited computing resources.

IPC Classes  ?

• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
• G06T 7/00 - Image analysis
• G06V 10/766 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using regression, e.g. by projecting features on hyperplanes
• G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
• G06V 10/778 - Active pattern-learning, e.g. online learning of image or video features

Abstract

A static human pose estimation method based on channel state information (CSI) signal angle of arrival (AoA) estimation is disclosed. A signal angle of arrival in a sensing area is estimated from CSI and an image is constructed, and a human pose is estimated from the image using a teacher-student network. The method comprises the following specific steps: CSI signals in a sensing area are collected at different heights using a receive antenna column with a moving track. Two-dimensional AoA image features are constructed: CSI information is converted into one-dimensional AoA data by using a MUSIC algorithm, and the one-dimensional AoA data of different heights are combined into a two-dimensional AoA image, and an environmental denoise algorithm is designed. A teacher-student network model is constructed, and a student network based on the two-dimensional AoA image is supervised, wherein the student network model can independently estimate a human pose from CSI.

IPC Classes  ?

• G01S 13/89 - Radar or analogous systems, specially adapted for specific applications for mapping or imaging
• G01S 5/02 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using radio waves
• G01S 13/87 - Combinations of radar systems, e.g. primary radar and secondary radar
• G06T 7/70 - Determining position or orientation of objects or cameras

Abstract

Parameter optimization method for nonlinear vibration model of complex device, comprising: 1) constructing various structures of complex device into tree structure, to form tree-shaped complex device model subsystem, and carrying out sign convention for dynamic analysis; 2) establishing complex device dynamic model to obtain dynamic relationships among all parts of complex device; 3) according to contact and collision conditions in advancing process of physical complex device, adding constraint relationships among parts in dynamic simulation software; 4) on basis of dynamic simulation software, establishing virtual prototype model of complex device, and determining target parameter and optimization target; 5) simulating vibration characteristics of complex device for different levels of pavement spectrums and different vehicle speeds; 6) adding required input point and output point for virtual prototype model; 7) on basis of optimization algorithm of numerical solution in small sample deep learning, obtaining optimal parameter.

IPC Classes  ?

• G06F 30/15 - Vehicle, aircraft or watercraft design
• G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
• G06F 111/04 - Constraint-based CAD

Abstract

Disclosed in the present invention is a personalized online test question recommendation method based on student emotion perception. The method comprises the following steps: S1, collecting answering behaviors of students for online learning and corresponding emotion records, and carrying out data cleaning to extract effective information; S2, on the basis of the emotion data of the students, using PCA to classify the complex emotions of the students, adjusting the impacts of the emotions on the students by means of the weight of a self-attention module, and performing modeling on the external cognition of the students; S3, integrating the external cognition of the students and the inherent cognition of the students, introducing an NCB-IRM framework, and comprehensively predicting the personalized response of the students; S4, using PMF to decompose the answering generality of the students, and jointly predicting the response of the students to test questions on the basis of the predicted personalized response of the students; and S5, on the basis of the predicted response of the students, providing test questions with appropriate difficulty for the students, and forming a final recommendation list. In the present invention, on the basis of PMF and NCB-IRM in combination with the personality and answering generality of students, the accuracy and reasonability of test question recommendation are realized in accordance with the test question mastering condition of the students.

IPC Classes  ?

• G06F 16/332 - Query formulation

Abstract

Disclosed is an optimization method for resource allocation in a perception-enhanced cognitive radio network based on an IRS (intelligent reflecting surface). The method includes: acquiring BS (base station)-to-IRS and IRS-to-user channel state information; defining diagonal phase-shift matrices of the IRS in perception stage and transmission stage, and establishing an optimization model according to the channel state information; using the optimization model to optimize that the diagonal phase-shift matrix of the IRS in the perception stage assists the secondary base station (SBS) in perceiving a spectrum occupancy of a primary network; entering the transmission stage, and using the optimization model to optimize beamforming vectors of the SBS and the diagonal phase-shift matrices of the IRS in the transmission stage in the case of different perception results; transmitting transmission information according to optimization results to achieve an improvement in a spectrum efficiency of a system when constraints interfere with primary users.

IPC Classes  ?

• H04B 17/382 - MonitoringTesting of propagation channels for resource allocation, admission control or handover
• H04W 24/02 - Arrangements for optimising operational condition

Abstract

Disclosed in the present invention is an active and passive collaborative sensing fusion method for a dual-function radar communication system. The method comprises: 1, embedding a dedicated sensing symbol in a signal sent by a base station; 2, using an optimization problem to solve power distribution; 3, a receiving access point receiving a passive sensing signal, and using a whitening filter to process direct path interference, such that the direct path interference becomes white noise; 4, the receiving access point using a generalized likelihood ratio detector to determine whether there is a target, and then the receiving access point and the base station transmitting a binary decision result and a target detection probability to a fusion center; and 5, the fusion center performing vote aggregation on received information, and determining whether there is a target. The present invention can improve the accuracy and efficiency of target detection, target positioning and environment information acquisition and reconstruction, and may significantly improve the performance of a wireless communication sensing network.

IPC Classes  ?

• H04W 72/044 - Wireless resource allocation based on the type of the allocated resource

Abstract

Disclosed in the present invention is a wideband circularly polarized antenna based on characteristic mode analysis. An upper surface of the antenna is of an aperiodic regular hexagonal ring-shaped metasurface structure, and regular hexagonal structures can be arranged in three directions, such that a stronger coupling effect can be achieved, and the profile of the antenna can be reduced. The overall modal significance and current distribution of a metasurface can be controlled by means of adjusting the size of a regular hexagonal ring of each layer, so as to find an appropriate mode. After the overall size of the metasurface is determined, an appropriate feed position is found by means of the current distribution obtained by means of characteristic mode analysis, and the antenna uses the mode of coupled feeding with an L-shaped open slot to feed the antenna. The present invention applies characteristic mode analysis to an aperiodic regular hexagonal ring-shaped metasurface structure, regular hexagonal structures enhance coupling between units, such that the antenna profile is reduced, and aperiodicity can make the mode of the metasurface structure controllable, so as to find the most appropriate mode, thereby simplifying the metasurface design process.

IPC Classes  ?

• H01Q 15/00 - Devices for reflection, refraction, diffraction or polarisation of waves radiated from an antenna, e.g. quasi-optical devices

Abstract

The present application discloses a face image restoration method, a system, a storage medium and a device, the restoration model adopted in the above method starts from structured information of a face, generates a structured face graph based on features of the to-be-restored face image, and restores face image by the structured face graph and the decoder, which can solve the problem that it is difficult to capture and learn structured information based on the traditional convolution operation, and improve the indicators of the face restoration and enriches the visualization effect.

IPC Classes  ?

• G06V 10/426 - Graphical representations
• G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
• G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions

Abstract

A method for processing low resolution degraded image, a system, a storage medium, and a device therefor are provided. The present disclosure adopts a dual branch processing model, which includes an image restoration branch and an image super-resolution branch. At the same time, a fusion module is used to fuse and learn image features from the two domains, thereby improving the problem of error accumulation and high computational cost caused by the two-stage processing method.

IPC Classes  ?

• G06T 5/60 - Image enhancement or restoration using machine learning, e.g. neural networks
• G06T 3/4053 - Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution

Abstract

A multi-inductor common-ground on-chip millimeter wave single-pole double-throw radio frequency switch is provided. The radio frequency switch includes a first radio frequency port, a second radio frequency port, a third radio frequency port, a first switch arm and a second switch arm. Access points of output matching circuits in the two switch arms are respectively connected with a first compensation inductor and a second compensation inductor. The first compensation inductor, the second compensation inductor, and a first coupling inductor connected with the first radio frequency port are multiplexed to be grounded to a second coupling inductor.

IPC Classes  ?

• H03H 11/28 - Impedance matching networks
• H03K 17/56 - Electronic switching or gating, i.e. not by contact-making and -breaking characterised by the use of specified components by the use, as active elements, of semiconductor devices

Abstract

OEEOO, so as to obtain a feature vector f; and using a target emotion classifier of the emotion recognition model to classify the feature vector f, and outputting an emotion recognition result. In the present invention, emotion clues in a target region environment are fully utilized for emotion recognition, and thus the accuracy of emotion recognition is greatly improved.

IPC Classes  ?

• G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions

Abstract

A universal test chiplet for testing a plurality of chiplets to be tested is provided. The universal test chiplet includes a chiplet test control circuit module, a test data distribution circuit module, a memory test configuration circuit module, and a chiplet test interface circuit module. The chiplet test control circuit module is configured to provide test data and configure test modes for the chiplets to be tested. The test data distribution circuit module is configured to distribute the test data required by each of the chiplets to be tested from a test data bus. The memory test configuration circuit module is configured to provide test circuits for memories of the chiplets to be tested and automatically generate a test vector. The chiplet test interface circuit module is configured to transmit the test data to the chiplets to be tested in any direction through chiplet test interfaces.

IPC Classes  ?

• G01R 31/3185 - Reconfiguring for testing, e.g. LSSD, partitioning
• G01R 31/319 - Tester hardware, i.e. output processing circuits

Abstract

The present invention provides ultrasound-responsive liposome nanoparticles and a preparation method and use thereof. The liposome nanoparticles include dimyristoylphosphatidylcholine, 1,2-dioleoyl-3-trimethyl ammonium-propane, distearoylphosphatidylethanolamine-polyethylene glycol, a sonosensitizer, an antibiotic, and perfluoropentane. The liposome nanoparticles are used for the treatment of bacterial biofilm infections. The preparation method involves preparing a liposome film.

IPC Classes  ?

• A61K 41/00 - Medicinal preparations obtained by treating materials with wave energy or particle radiation
• A61K 9/1271 - Non-conventional liposomes, e.g. PEGylated liposomes or liposomes coated or grafted with polymers
• A61K 9/1277 - Preparation processesProliposomes
• A61K 9/51 - Nanocapsules
• A61K 31/4164 - 1,3-Diazoles
• A61P 31/04 - Antibacterial agents

Abstract

Disclosed is an intelligent interactive decision-making method for a discrete manufacturing system. The method includes the following steps: step 1, establishing a production scheduling optimization model and strategy for discrete manufacturing for an actual application scene; step 2, training the scheduling strategy with existing production data on the basis of a deep reinforcement learning algorithm, and storing a state having a high reward in a training process in a memory; step 3, updating the state according to prior knowledge in the memory; step 4, inputting the updated state into a deep reinforcement learning network, obtaining a corresponding reward, and updating the memory according to the reward; and step 5, repeating step 4 until model parameters converge, and saving and putting the model into an actual production scene.

IPC Classes  ?

• G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
• G06N 3/092 - Reinforcement learning
• G06Q 50/04 - Manufacturing

Abstract

Disclosed is a multi-base station queued preambles allocation method based on collaboration between multiple agent, which provides a non-competitive preambles allocation method in a scenario of multiple base stations and multiple cells, so as to solve the congestion problem caused during random access of massive MTCDs. The devices are queued to select the preambles based on deep reinforcement learning, and a training method based on federal learning is applied, thus effectively solving the congestion problem caused by competitive access. First, the newly accessed devices are grouped and the level of priority is set according to a delay tolerance time. Then, the device are reasonably allocated to idle queues by means of a multi-agent reinforcement learning algorithm. Finally, by means of a federal training method, the neural network of each agent is synchronously optimized by means of average optimization of neural network gradients, thus completing preambles allocation to each agent.

IPC Classes  ?

• H04W 28/08 - Load balancing or load distribution
• H04W 28/086 - Load balancing or load distribution among access entities

Abstract

The present invention relates to the technical field of industrial supply chains. Disclosed is a supply chain logistics provider multi-task cooperation method for intelligent manufacturing. The method comprises: acquiring logistics provider task initial assignment information, calculating a logistics task initial assignment total cost, and then using a sealed-bid auction to complete logistics task reassignment in intelligent manufacturing, so as to achieve supply chain logistics provider multi-task cooperation. According to the present invention, by establishing an optimal logistics task cost model and an autonomous logistics task assignment model, horizontal and efficient cooperation of supply chain logistics providers for intelligent manufacturing is achieved, logistics provider horizontal cooperation with low cost and high satisfaction is achieved under the condition that logistics information is opaque and no third-party agent is introduced, and rational and efficient configuration of resources between supply chain demanders and suppliers is achieved.

IPC Classes  ?

• G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
• G06Q 10/101 - Collaborative creation, e.g. joint development of products or services
• G06Q 10/08 - Logistics, e.g. warehousing, loading or distributionInventory or stock management
• G06Q 30/08 - Auctions
• G06Q 50/04 - Manufacturing
• G06F 18/23213 - Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering

Abstract

The present invention belongs to the field of microwave antennas. Disclosed is a miniaturized secondary open-cavity broadband antenna based on a substrate-integrated waveguide, the antenna comprising a bottom dielectric substrate and an upper dielectric substrate, wherein a lower surface of the bottom dielectric substrate is provided with a first metal layer; an upper surface of the bottom dielectric substrate is provided with a second metal layer; the second metal layer has a split slit-shaped open-circuit gap, which is a radiating face of the first metal layer, the second metal layer and the bottom dielectric substrate; a plurality of metal columns penetrate the bottom dielectric substrate, and upper and lower ends of the plurality of metal columns are respectively connected to the first metal layer and the second metal layer; a microstrip line feed is connected on the side of the second metal layer that is away from the slit-shaped open-circuit gap; and the upper dielectric substrate is attached to an upper surface of the second metal layer and attached to the split slit-shaped open-circuit gap of the second metal layer. The miniaturized broadband antenna of the present invention covers an X frequency band, and increases an impedance bandwidth under the action of the loading of an open-circuit gap and the number and positions of metal through holes.

IPC Classes  ?

• H01Q 13/18 - Resonant slot antennas the slot being backed by, or formed in boundary wall of, a resonant cavity
• H01Q 9/04 - Resonant antennas

Abstract

The present application discloses a low-light image enhancement method based on wavelet transform and Retinex-Net, and belongs to the field of image enhancement technology. In order to solve the problems of colour distortion and lack of details such as edges and textures when Retinex-Net processes some images, the present application adds the wavelet transform, fuses the high-frequency components with regional characteristics, and processes only the low-frequency component with Retinex-Net, to retain more details of edges and textures in the image, and transfers the low-frequency and high-frequency components from the HSV space to the value space for value fusion and stretching, to effectively improve the colour distortion of the image, and also improve the expression of details of the image. The present application retains more detail information while avoiding colour distortion, and the enhancement effect is satisfactory.

IPC Classes  ?

• G06T 5/94 - Dynamic range modification of images or parts thereof based on local image properties, e.g. for local contrast enhancement
• G06T 5/60 - Image enhancement or restoration using machine learning, e.g. neural networks
• G06T 5/70 - DenoisingSmoothing

Abstract

The present invention are an autonomous parameter change communication synchronization method and system based on an external clock. The method comprises: firstly, two communication parties acquiring the same external clock source signal, and each correcting a local time according to the external clock source signal; secondly, a communication caller autonomously establishing a bidirectional communication link with a communication responder by means of a call response mechanism; then the two communication parties entering an autonomous parameter change communication stage, and changing respective system sending and receiving parameters according to synchronous clock; and at the same time, the two communication parties each performing comparison to determine a time difference value at a parameter change moment in real time, and each correcting a local clock when the difference value is greater than a preset threshold value, thereby maintaining the consistency of the local clocks of the two parties.

IPC Classes  ?

• H04J 3/06 - Synchronising arrangements
• H04B 1/715 - Interference-related aspects
• H04B 1/7156 - Arrangements for sequence synchronisation
• H04W 56/00 - Synchronisation arrangements

Abstract

The present invention relates to radio frequency integrated circuit design technology, and belongs to the technical field of basic electronic circuits. Disclosed are a multi-inductor common-ground on-chip millimeter wave single-pole double-throw radio frequency switch. The switch comprises: a first radio frequency port, a second radio frequency port, a third radio frequency port, a first switch arm and a second switch arm, wherein in the two switch arms, access points of output matching circuits are respectively connected to a first compensation inductor and a second compensation inductor, and the first compensation inductor, the second compensation inductor, and a first coupling inductor connected to the first radio frequency port multiplex a grounded second coupling inductor. Low loss of the switch is realized by using the working mode of a coupled resonance of a switch transistor in a turned-on switch arm, and a new transmission pole is generated by means of using a turned-off switch arm to generate a new coupled resonance, thereby realizing a wide broadband, and the miniaturization of the switch.

IPC Classes  ?

• H03K 17/687 - Electronic switching or gating, i.e. not by contact-making and -breaking characterised by the use of specified components by the use, as active elements, of semiconductor devices the devices being field-effect transistors

Abstract

A liquid lens controlled by an interdigital electrode made of two insulated wires includes an inner core cavity body, the two insulated wires, a first transparent body, a second transparent body, a first fluid, and a second fluid. The insulated wires are arranged side by side and longitudinally winded on the inner core cavity body; the insulated wires are configured to form an interdigital electrode on a sidewall of the inner core cavity body; the first transparent body is disposed at an upper end of the inner core cavity body and the second transparent body is disposed at a lower end of the inner core cavity body; a lens cavity is defined among the inner core cavity body, the first transparent body, and the second transparent body; the first fluid and the second fluid are immiscible, and disposed in the lens cavity.

IPC Classes  ?

• G02B 3/14 - Fluid-filled or evacuated lenses of variable focal length
• G02F 1/29 - Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulatingNon-linear optics for the control of the position or the direction of light beams, i.e. deflection

Abstract

The present invention belongs to the technical field of microwave filters. Disclosed is a compact high-selectivity substrate integrated waveguide triangular cavity wide stopband filter, which is successively provided, from top to bottom, with an upper metal layer, a middle dielectric layer substrate, and a lower metal layer; the upper metal layer is connected to the lower metal layer via metalized via holes, and the upper metal layer, the lower metal layer and the middle dielectric layer substrate collectively form dielectric-filled cavities; all of the cavities are in triangular shapes and only comprise isosceles right-angled triangular cavities and equilateral triangular cavities, the right-angled side lengths of the isosceles right-angled triangular cavities being linearly related to the side lengths of the equilateral triangular cavities, and the cavities of the whole filter being a pentagonal structure. The present invention combines the harmonic interleaving technology and the harmonic coupling technology, provides the relationship between the right-angled side lengths of substrate integrated waveguide isosceles right-angled triangular cavities and the side lengths of the substrate integrated waveguide equilateral triangular cavities, and not only has a compact and simple structure, but also simplifies design steps, thereby having important application prospects.

IPC Classes  ?

• H01P 1/20 - Frequency-selective devices, e.g. filters

Abstract

Disclosed in the present invention are an intelligent communication countermeasure method and a system. The method comprises: acquiring geographic locations of a transmitter and a receiver of a communication party, calculating a channel function of each channel, and constructing a communication party utility model; acquiring the geographic location of a jammer, calculating the gain of each channel, and constructing a jammer utility model; constructing a communication countermeasure process on the basis of a Stackelberg game theory, taking the communication party as a leader in the game process, and taking the jammer as a follower in the game process; and when the utility of the communication party and the utility of a jammer party finally converge after multiple rounds of games, outputting policies of the communication party and the jammer party in a stable state. According to the present invention, an intelligent reflecting surface is introduced into the communication party, the intelligent reflecting surface reflects useful signals on the basis of the location of the receiver, and signals of a direct path and a reflection path are mutually counteracted by changing phases of jamming signals, so as to suppress the jamming signals, thereby effectively improving the anti-jamming capability of the communication party.

IPC Classes  ?

• H04B 17/391 - Modelling the propagation channel
• H04B 17/309 - Measuring or estimating channel quality parameters

Abstract

The present invention relates to a low-pass filtering method for a digital periodic signal. On the basis of an optimal filtering parameter, according to relationships between a sampling frequency of a sampling sequence signal corresponding to a real-time target digital periodic signal, a sliding period of a sliding average filter applied to the sampling sequence signal corresponding to the real-time target digital periodic signal, and an application frequency of the real-time target digital periodic signal, the sliding average filter is applied according to the sliding period, so as to perform real-time filtering processing on the sampling sequence signal corresponding to the real-time target digital periodic signal. The entire design method is suitable for the filtering of digital periodic signals including harmonics, and digital sinusoidal signals, and has a simple and rational design solution, low software and hardware overheads and a relatively high anti-interference capability; and the design method is convenient and quick during actual calculation and suitable for use in an embedded system, and can be simply and rationally implemented to obtain accurate and reliable data, thereby having relatively wide application prospects.

IPC Classes  ?

• H03H 17/02 - Frequency-selective networks

Abstract

A circuit for post-binding testing of a 2.5D chiplet includes an interposer-dedicated TAP controller, an interposer test interface circuit and a chiplet test output control circuit. A chiplet test configuration register and its corresponding instructions are newly added for the interposer-dedicated TAP controller. The interposer test interface circuit uses an output control signal of the chiplet test configuration register to select the opening or closing of a test signal channel between an interposer and a chiplet. The chiplet test output control circuit uses the chiplet test configuration register to output a control signal for control of a test data output of the chiplet on the interposer.

IPC Classes  ?

• G01R 31/28 - Testing of electronic circuits, e.g. by signal tracer
• G01R 31/3185 - Reconfiguring for testing, e.g. LSSD, partitioning

Abstract

A reconfigurable MBIST method based on an adaptive March algorithm is provided. The reconfigurable MBIST method automatically reconfigures different algorithm circuits according to external environment and user instructions to satisfy detection requirements for different faults. The provided adaptive March algorithm is capable of adaptively reorganizing algorithms with different complexities, such that dynamic adjustments can be executed between time complexities of the algorithm and fault coverage rates to achieve a good balance, and the static fault coverage rates are high, thereby effectively improving dynamic fault coverage rates.

IPC Classes  ?

• G11C 29/12 - Built-in arrangements for testing, e.g. built-in self testing [BIST]
• G11C 29/18 - Address generation devicesDevices for accessing memories, e.g. details of addressing circuits
• G11C 29/36 - Data generation devices, e.g. data inverters

Abstract

Disclosed are a three-dimensional modeling system and modeling method based on multimodal fusion. The method includes: separately collecting feedback data of an electroencephalogram sensor, an electromyography sensor, an eye movement sensor, a gesture sensor, and a voice sensor, conducting multimodal fusion on the feedback data, obtaining multimodal-fused model data, matching the model data with a database instruction, obtaining and analyzing an instruction set, obtaining and identifying a relevant modeling parameter, obtaining a modeling method, automatically conducting modeling according to the modeling method, and obtaining a visual entity model. Through the method of the present disclosure, multi-sense man-machine interaction is combined with traditional geometric modeling, and a complicated modeling command input operation does not require manipulation of interactive devices such as a keyboard and a mouse, such that modeling efficiency is improved, waste of manipulation energy of an operator is reduced, and further modeling experience of the operator is improved.

IPC Classes  ?

• G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
• G06F 3/16 - Sound inputSound output
• G06T 17/00 - 3D modelling for computer graphics
• G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts

Abstract

The present invention belongs to the technical field of deep learning. Disclosed is a deep learning memory optimization method for a microcontroller. The present invention proposes a multi-operator fusion computing optimization method, by means of which a residual structure, a convolution-activation structure and a connection structure, which are commonly used in a deep learning model, are respectively optimized, so as to reduce memory usage during an inference process of the deep learning model, such that the deep learning model can operate on a microcontroller having a smaller memory. For the characteristic of multi-segment memory in a microcontroller, a memory layout optimization method for deep learning operators in multi-segment memory is proposed, so as to make deep learning operators use multi-segment memory to perform inference, thereby overcoming the disadvantage of only single-segment memory being used in the art and effectively improving memory usage efficiency.

IPC Classes  ?

• G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]

Abstract

Disclosed is a complex device key position vibration characteristic parameter verification method, comprising following steps: 1) constructing a model of complex device parts; 2) establishing a complex device dynamic model in a simulation software; 3) in the advancing process of a physical complex device, obtaining connection modes and constraint relationships among parts; 4) pre-simulating a complex device model in a dynamic simulation software; 5) determining a vibration characteristic parameter of a complex device key position needing to be verified, and carrying out post-processing on the vibration characteristic parameter for different levels of pavement spectra and vehicle speeds; 6) using a neural network model, training a selected key position rigidity damping coefficient and the vibration characteristic parameter; 7) comparing and verifying the vibration characteristic parameter obtained in the simulation process of the complex device dynamic model with the vibration characteristic parameter obtained by the neural network training model.

IPC Classes  ?

• G06F 30/17 - Mechanical parametric or variational design
• G06F 30/27 - Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model

Abstract

Disclosed in the present invention are a dual-circularly polarized reflectarray antenna and a radiation beam independent control method therefor. The antenna comprises a circularly polarized antenna feed source and a double "S"-printed metal strip reflectarray; the circularly polarized antenna feed source faces the double "S"-printed metal strip reflectarray; the circularly polarized antenna feed source is located at a phase shift focus of the double "S"-printed metal strip reflectarray; the circularly polarized antenna feed source emits spherical electromagnetic waves, and the double "S"-printed metal strip reflectarray receives the spherical electromagnetic waves and reflects same as plane waves. The dual-circularly polarized reflectarray antenna provided by the present invention can simultaneously reflect left-handed circularly polarized waves and right-handed circularly polarized waves, and implements, while ensuring high-gain radiation, the characteristic that left-handed circularly polarized wave beams and right-handed circularly polarized wave radiation beams are independently controllable.

IPC Classes  ?

• H01Q 1/36 - Structural form of radiating elements, e.g. cone, spiral, umbrella

Abstract

Disclosed in the present invention is a global delay optimization-oriented cloud-edge-end collaborative CNN inference method. A block inference delay prediction model is constructed and trained, theoretical data transmission delay is calculated, a delay loss prediction model is constructed and trained, and a global delay prediction model is constructed; the global delay prediction model is used to calculate the theoretical global delay of each edge server, and the minimization of global delay is taken as an optimization objective, so as to determine the selection of an edge server participating in collaborative inference and the allocation of inference task volumes. The present invention also provides a global delay optimization-oriented cloud-edge-end collaborative CNN inference system. Compared with conventional collaborative inference research work which focuses only on delay optimization of current inference tasks in terms of delay indicator settings, the method takes possible delay influence of processing of current inference tasks on other inference tasks processed in parallel into consideration for decision making. In addition, the present invention further provides a CNN segmentation optimization method, which can effectively reduce the decision-making delay in collaborative inference.

IPC Classes  ?

• G06N 3/08 - Learning methods
• H04L 41/16 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence

Abstract

A deductive evaluation solution for the health status of industrial equipment. Equipment in a scenario is modeled by means of digital twin technology; physical equipment is communicatively linked with a digital model, and a deductive evaluation is performed by means of operating status data of a digital equipment model, so as to obtain a deduced expected service life; and according to a real equipment operating service life and the deduced expected service life, feedback correction is performed on a status evaluation matrix. Thus, the aim of giving an early warning for equipment having an abnormal operating status is achieved, thereby improving the reliability and stability of equipment, and ensuring the operation and security of a data center.

IPC Classes  ?

• G05B 23/02 - Electric testing or monitoring

Abstract

The present application discloses a task scheduling method based on an improved chimpanzee optimization algorithm, including obtaining a task to be scheduled and a task scheduling model pre-established by using a chimpanzee optimization algorithm, performing iterative computation of chimpanzees in the task scheduling model by the chimpanzee optimization algorithm; and ending the iterative computation in response to that an iteration termination condition is reached, outputting an optimal solution, and obtaining an optimal scheduling scheme. The present application solves the problem of the traditional chimpanzee optimization algorithm in the prior art that is prone to falling into the local optimum, and the imbalance between the global exploration capacity and the local exploitation capacity, the improved chimpanzee optimization algorithm has different aspects of performance enhancement compared to general intelligence algorithms of population.

IPC Classes  ?

• G06F 9/48 - Program initiatingProgram switching, e.g. by interrupt

Abstract

A task scheduling method based on an improved chimp optimization algorithm, relating to the technical field of task scheduling, and comprising: acquiring a task to be scheduled and a task scheduling model established in advance by using a chimp optimization algorithm, and using a two-dimensional function sequence Halton to initialize a population and parameters; performing iterative computation on chimps in the task scheduling model by means of the chimp optimization algorithm; and when an iteration termination condition is reached, ending iterative computation, outputting an optimal solution, and obtaining an optimal scheduling scheme. According to the solution, the problems in the prior art of a traditional chimp optimization algorithm being prone to falling into local optimization, and the global exploration capacity and the local mining capacity being not balanced are solved, and the improved chimp optimization algorithm has performance improvement in different aspects compared with general population intelligent algorithms, and also achieves remarkable effectiveness in task scheduling applications in an actual cloud computing environment.

IPC Classes  ?

• G06F 9/48 - Program initiatingProgram switching, e.g. by interrupt
• G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]
• G06N 3/006 - Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]

Abstract

A method for image motion deblurring, an apparatus, an electronic device and medium therefor are provided. The method includes obtaining a motion-blurred image to be deblurred; inputting the obtained blurred image into a pre-constructed and pre-trained image motion deblur model based on a multi-scale feature fusion module and a local channel information interaction module to obtain a clear image; wherein, the image motion deblur model is obtained through extracting characteristic information of different spatial scales and frequencies through the multi-scale feature fusion module for feature fusion, and exchanging local channel information of the fused feature map with local channel information in an one-dimensional convolution manner through the local channel information interaction module, and then training a dataset with a objective of minimizing a loss function based on adversarial loss and content loss. It can effectively eliminate artifacts and restore texture details, further improving the clarity of images.

IPC Classes  ?

• G06T 5/73 - DeblurringSharpening
• G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting
• G06T 5/60 - Image enhancement or restoration using machine learning, e.g. neural networks

Abstract

Disclosed in the present invention is an MEC offloading, resource allocation, and cache joint optimization method, comprising: constructing an MEC offloading, resource allocation, and cache model according to a computing resource task actually requested by a user; performing model conversion on the MEC offloading, resource allocation, and cache models by taking minimization of the long-term average overhead of a system as a target, and acquiring an offloading decision by means of a combination of deep reinforcement learning and an order-preserving quantification method; acquiring local computing resource and edge computing resource allocation strategies on the basis of the offloading decision, making a cache decision by means of task request probability distribution, and dynamically updating the cache space of an MEC server; and training a deep reinforcement learning network according to the state, action, and reward of the system after conversion of the MEC offloading, resource allocation, and cache model, and performing loop iterative optimization on the offloading decision. The method of the present invention can reduce long-term average overhead of a system and improve the cache hit ratio of a task requested by a user.

IPC Classes  ?

• G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]
• G06N 3/092 - Reinforcement learning

Abstract

Disclosed in the present invention is a low-loss asymmetric switch-on-chip for a 5G/6G radio frequency front-end chip, belonging to the technical field of basic electronic circuits. The asymmetric switch-on-chip comprises: a first radio frequency port, a first switch arm, a second switch arm, a second radio frequency port and a third radio frequency port. A first parallel resonance unit connected via the first switch arm and a second parallel resonance unit connected via the second switch arm can form a coupled resonance structure, and parallel resonance of the second parallel resonance unit is used to achieve a high-resistance state, thereby reducing influences of a loading effect of the second switch arm on the loss of the first switch arm. The second switch arm can also be connected to a multi-stage low-pass unit or a multi-stage coupled resonance topology to improve a bandwidth of the switch, thereby achieving low loss, ultra-wideband, high isolation and miniaturization of the asymmetric switch.

IPC Classes  ?

• H03K 17/687 - Electronic switching or gating, i.e. not by contact-making and -breaking characterised by the use of specified components by the use, as active elements, of semiconductor devices the devices being field-effect transistors
• H03K 19/00 - Logic circuits, i.e. having at least two inputs acting on one outputInverting circuits

Abstract

A two-stage self-sustaining unmanned aerial vehicle cooperative distribution and charging scheduling method, comprising: setting a complete graph for representing a distribution network; calculating the energy consumption of an unmanned aerial vehicle; calculating an unloading amount; determining a distribution scheduling scheme of the unmanned aerial vehicle by using an unmanned aerial vehicle distribution scheduling algorithm; setting parameters related to charging of the unmanned aerial vehicle, and calculating a charging duration, a charging start time and the maximum charging completion time of the unmanned aerial vehicle on each charging pad; obtaining a charging sequence of the unmanned aerial vehicle on each charging pad by using an unmanned aerial vehicle charging scheduling algorithm; determining a charging scheduling scheme; and according to the obtained distribution scheduling scheme and the charging scheduling scheme, enabling the unmanned aerial vehicle to carry out distribution and to be charged. Further disclosed is a two-stage self-sustaining unmanned aerial vehicle cooperative distribution and charging scheduling system.

IPC Classes  ?

• G06Q 10/0835 - Relationships between shipper or supplier and carriers

Abstract

A global phase tracking and predicting method suitable for a twin-field quantum key distribution system is provided. A time-aware sequence to sequence network (S2S) specially mounted on a field-programmable gate array (FPGA) is designed. In the global phase tracking and predicting method, global phase changes at a plurality of subsequent time points are tracked and predicted according to two-phase scan count and external environmental parameters acquired in real time, and the tracking and prediction results are then used to compensate phase disturbance in real time, thereby ensuring long-time global phase stability.

IPC Classes  ?

• H04L 9/08 - Key distribution
• G06N 3/0442 - Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]

Abstract

A method for preparing a monocrystalline silicon film based on a laser interference technology, relating to the field of film material preparation. Laser is irradiated on the surface of a substrate to induce generation of a silicon film that has high transmissivity and small surface roughness and is thin, the transmissivity at an optical band of 200-860 nm reaches 89.502%, the transmissivity at an optical band of 860-1200 nm reaches 97.655%, the average transmissivity reaches 92.26%, and a monocrystalline silicon film having a high crystalline volume fraction at the diffraction peak of Si (400) crystal face and a characteristic peak of 522 cm-1 is generated. The method has the characteristics of simple process, low cost, high efficiency, safety, no pollution, high film uniformity and the like. The prepared film has the characteristics of high temperature resistance, corrosion resistance, high flatness and high transmissivity, and can be widely applied to the fields of biomedicines, aerospace, sense circuits and the like.

IPC Classes  ?

• C30B 29/06 - Silicon
• C30B 25/06 - Epitaxial-layer growth by reactive sputtering

Abstract

Disclosed is a serial test circuit for controllable Chiplets, which belongs to the technical field of test or measurement of semiconductor devices during manufacturing or processing. The test circuit includes a master control test module, a slave control test module, a clock controlling module and an outputting module. The master control test module is composed of a test access port module, a segment insertion bit module and a test data register module. The test controlling signal is generated by the master control test module, and the test inputting signals of the slave Chiplets are respectively controlled by the slave control test module after receiving the test controlling signal. At the same time, the test controlling signal is inputted to the clock controlling module to obtain the clock signals of the slave Chiplets. The output signal of the test outputting module is determined by the test controlling signal.

IPC Classes  ?

• G01R 31/3185 - Reconfiguring for testing, e.g. LSSD, partitioning
• G01R 31/317 - Testing of digital circuits

Abstract

A downlink channel estimation method based on a co-prime array in asymmetric massive MIMO architecture is provided. First, an uplink and downlink asymmetric receiving and transmitting system model based on a co-prime array is established, and a deviation of the frequency domain direction caused by array broadband signals is observed; then, uplink receiving is performed to estimate an uplink channel, and channel parameters such as the number of paths, the angle of arrival and the path gain are recovered; and finally, a downlink channel is reconstructed based on the channel parameters recovered according to the uplink channel. By means of the high angular resolution of the co-prime array, the problem that a recovered uplink channel cannot be directly used for pre-coding of a downlink channel is solved.

IPC Classes  ?

• H04B 7/0413 - MIMO systems
• H04L 25/02 - Baseband systems Details

Abstract

A biomineralized composite nanomaterial, and a preparation method therefor and a use thereof. The nanomaterial takes a cell and a derivative thereof as a core, and mineralizes the core to form a protective layer of the cell and the derivative thereof, and a hydrophilic shell targeting tumor cells, and the shell has a modified end covalently bonded to the cell and the derivative thereof and a hydrophilic end targeting tumor cells. Preferably, the core is composed of a cell or a cell sub-structure or an extracellular vesicle derivative; the shell is composed of an iron oxide or a manganese oxide or an aluminum oxide in a metal salt. The nanomaterial can be used as a novel vaccine for immunotherapy, can protect a cell and a derivative thereof, can target tumor cells, improves efficiency, and reduces toxic and side effects on patients; the preparation method has the advantages of easy operation, controllable conditions and large-scale production.

IPC Classes  ?

• A61K 47/69 - Medicinal preparations characterised by the non-active ingredients used, e.g. carriers or inert additivesTargeting or modifying agents chemically bound to the active ingredient the non-active ingredient being chemically bound to the active ingredient, e.g. polymer-drug conjugates the conjugate being characterised by physical or galenical forms, e.g. emulsion, particle, inclusion complex, stent or kit
• A61K 47/02 - Inorganic compounds
• A61K 9/51 - Nanocapsules
• A61P 35/00 - Antineoplastic agents

Abstract

Disclosed by the present invention are an unmanned aerial vehicle-assisted task offloading and resource allocation method based on service caching, which is used for a multi-unmanned aerial vehicle-assisted MEC system. Service caching and computing offloading are considered at the same time, wherein an unmanned aerial vehicle may cache some programs to execute computing tasks offloaded by a ground terminal device, and meanwhile, a local terminal device may cache a small number of programs to execute some computing tasks. The total time delay optimization problem of minimizing all ground terminal device request tasks is established under the constraint conditions that the tasks of all devices and an unmanned aerial vehicle achieve delay requirements and the energy of the unmanned aerial vehicle is limited. Said problem is a mixed integer nonlinear programming problem, which is decoupled into three subproblems: task offloading decision, unmanned aerial vehicle resource allocation, and unmanned aerial vehicle trajectory. Each of the subproblems is iteratively solved by using a slack variable, a Lagrange multiplier, and Taylor expansion, thereby attaining the optimal solutions for task offloading decision, unmanned aerial vehicle resource allocation, and unmanned aerial vehicle trajectory.

IPC Classes  ?

• H04W 28/08 - Load balancing or load distribution

Abstract

The present invention belongs to the technical field of wireless communications. Disclosed are a network key generation method and system based on a random channel and DH negotiation. The method comprises: a communication calling party initiating a call to a communication responding party by means of a network; a network access point close to the communication calling party and a network access point close to the communication responding party respectively sending a pilot training sequence to the calling party and the responding party by means of a wireless channel; and on the basis of a channel estimation method, the two communication parties extracting wireless channel state information to generate initial bit sequences; and processing the initial bit sequences on the basis of a DH negotiation algorithm, so as to enable the two communication parties to generate consistent end-to-end keys. Compared with conventional DH negotiation algorithms, the present invention increases the randomness of keys by using the spatial uniqueness and temporal variability of wireless random channels, and solves the problem of a generation rate of conventional physical layer keys being low by means of an asymmetric encryption algorithm, thereby improving the reliability of physical layer key negotiation between two communication parties.

IPC Classes  ?

• H04W 12/041 - Key generation or derivation
• H04W 12/0431 - Key distribution or pre-distributionKey agreement

Abstract

The invention provides a blockchain-based supervision method for an electronic immunity passport. A certificate authority generates and correspondingly distributes public-private key pairs. A hospital generates an immunity passport for a vaccine and assigns a passport number; encrypts the immunity passport and the passport number; and generates and uploads a transaction to a national alliance chain node (NACN). The NACN generates and uploads a second transaction to a world alliance chain (WAC). When the vaccine is requested to show the immunity passport, the vaccinee provides the passport number, generates and uploads a trapdoor to the WAC. The vaccine decrypts received ciphertext from the WAC to obtain plaintext data. An alliance chain node performs periodic maintenance by a smart contract. The invention can ensure data openness, traceability, and immutability, achieve effective supervision for the immunity passport data, provide reliable immunity passport data, and achieve search and regular maintenance for the immunity passport.

IPC Classes  ?

• H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
• H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols
• H04L 9/08 - Key distribution

Abstract

Disclosed is a resource optimization method for a cell-free massive MIMO system based on unmanned aerial vehicle assistance. In an unmanned aerial vehicle-assisted cell-free massive MIMO system scenario, an unmanned aerial vehicle serves as an air access point (AP) to provide, in combination with a ground AP, a service for a ground user. The specific design of the method comprises designing a user scheduling rule based on an air-ground AP combination service; according to the scheduling rule, designing a communication model based on the air-ground combination service; designing fair resource allocation schemes including a user scheduling scheme, a position deployment scheme of the unmanned aerial vehicle, and a user power allocation scheme, maximizing a minimum downlink rate of a user of the described communication model, and finally verifying the feasibility of the proposed utility model by means of an optimization solving method such as block coordinate descent and continuous convex optimization technology. According to the present invention, an optimal resource allocation strategy including the unmanned aerial vehicle can be provided according to the current user and ground resource distribution to realize blind-spot-free ground user service coverage.

IPC Classes  ?

• H04W 24/02 - Arrangements for optimising operational condition
• H04W 24/06 - Testing using simulated traffic
• H04W 4/40 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
• H04W 16/18 - Network planning tools
• H04W 52/26 - TPC being performed according to specific parameters using transmission rate or quality of service QoS [Quality of Service]
• H04W 52/38 - TPC being performed in particular situations
• H04B 7/185 - Space-based or airborne stations
• H04B 7/0452 - Multi-user MIMO systems

Abstract

The present invention provides a trajectory-based target ID re-authentication and matching method and system. The method comprises: obtaining trajectory data of each target, respectively obtaining start point classifications of trajectories and end point classifications of the trajectories to respectively serve as H points and T points, and setting IDs for the H points and the T points; performing identity matching on different identities of the same target by means of trajectory characteristics, such that an H temporary storage unit stores H points that have been scanned and do not match the T points, an S temporary storage unit stores matched H-T point pairs, and a T temporary storage unit stores T points that have been scanned and do not match the H points, and the T points from the S temporary storage unit; re-matching the mismatched trajectories of the target; and using the H-T point pairs in an updated S temporary storage unit as matching results. The present invention can match two motion trajectories of the same target that are disconnected within a short period of time, has relatively high matching accuracy and tracking precision, involves a relatively small data processing amount, and can ensure the real-time performance of re-authentication.

IPC Classes  ?

• G06T 7/00 - Image analysis
• G06T 7/246 - Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
• G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries

Abstract

Disclosed in the present invention is an orthogonal position design method in a near-field extremely large-scale planar array communication system, comprising: constructing a downlink wireless transmission system based on a near-field extremely large-scale planar array; obtaining azimuth angles and elevation angles of user orthogonal positions on the basis of the number of antennas, carrier wavelength, and antenna spacing of an antenna array at a base station; obtaining radial distances of the user orthogonal positions relative to the base station on the basis of the azimuth angles and the elevation angles of the user orthogonal positions; and on the basis of the azimuth angles, the elevation angles and the radial distances of the user orthogonal positions, obtaining all orthogonal positions determined by means of the number of antennas, the carrier wavelength and the antenna spacing of the antenna array at the base station. According to the present invention, users can be distinguished by means of angles and distances in an extremely large-scale MIMO near-field area, effectively reducing interference between users; compared with a conventional far-field orthogonal position design method, the near-field orthogonal position design method of the present invention can effectively reduce interference between users in near-field areas and improve the system and rate.

IPC Classes  ?

• H04B 7/04 - Diversity systemsMulti-antenna systems, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas