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 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

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

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

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

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

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

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

Abstract

The invention belongs to the technical field of microwave antenna and discloses a tripolarising reconfigurable metasurface antenna with low RCS characteristics, comprising an upper metasurface metal layer, an upper medium layer, an intermediate metal layer, a lower medium layer and a bottom feeding network metal layer from top to bottom of a rotating phase slot. The upper metasurface metal layer is composed of 4*4 periodic arranged metasurface elements, and the center of each metasurface element is provided with three identical slots obliquely, and the middle metal layer is closely fitted with the upper and lower medium layer. The invention introduces the low RCS characteristic into the traditional polarified reconfigurable antenna and improves the circular polarization bandwidth, so as to increase the availability of the low RCS polarified reconfigurable antenna.

IPC Classes  ?

• H01Q 15/00 - Devices for reflection, refraction, diffraction or polarisation of waves radiated from an antenna, e.g. quasi-optical devices
• H01Q 1/24 - SupportsMounting means by structural association with other equipment or articles with receiving set
• H01Q 21/24 - Combinations of antenna units polarised in different directions for transmitting or receiving circularly and elliptically polarised waves or waves linearly polarised in any direction

Abstract

The present application discloses a text image super-resolution method based on text assistance, including: obtaining a low-resolution text image to be reconstructed; inputting the low-resolution text image into a pre-trained text image super-resolution model, and determining a reconstructed text image based on an output of the text image super-resolution model; a method of constructing and training the text image super-resolution model includes: obtaining a text image dataset; and training the pre-constructed text image super-resolution model by using the text image dataset to obtain the trained text image super-resolution model. Compared to other ordinary super-resolution models, this text image super-resolution model fuses the text sequence features with the image texture features, and fully exploits and utilizes the text information in the low-resolution image, which can help to improve the quality of reconstructed text image.

IPC Classes  ?

• G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting
• G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
• 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
• G06V 20/62 - Text, e.g. of license plates, overlay texts or captions on TV images

Abstract

Disclosed in the present invention is a text image super-resolution reconstruction method based on text assistance. The method comprises: acquiring a low-resolution text image to be reconstructed; and inputting said low-resolution text image into a pre-trained text image super-resolution reconstruction model, and according to an output of the model, determining a text image super-resolution reconstruction result, wherein a construction and training method for the text image super-resolution reconstruction model comprises: acquiring a text image data set; and training a pre-constructed text image super-resolution reconstruction model by using the text image data set to obtain the trained text image super-resolution reconstruction model. The text image super-resolution model fuses text sequence features and image texture features, and fully mines and utilizes text information in low-resolution images compared with other common super-resolution models, thereby facilitating the improvement of the super-resolution reconstruction quality of text images.

IPC Classes  ?

• G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting
• G06N 3/084 - Backpropagation, e.g. using gradient descent
• 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]
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]

Abstract

The present invention belongs to the field of image defogging in computer vision. Disclosed is a single-image defogging method based on detail restoration. The method comprises: step 1, constructing a training data set; step 2, building a backbone defogging network for realizing preliminary image defogging, involving: on the basis of a U-Net network model, introducing a residual module based on a pixel attention mechanism into an encoding region, and introducing an enhancement module into a decoding region; step 3, building a detail restoration network for realizing image detail restoration, wherein a residual contraction module and a spatial attention mechanism are introduced; step 4, training an overall network model, which is composed of the backbone defogging network and the detail restoration network; and step 5, performing a test. The present invention can alleviate the problem of edge detail information being lost while defogging is effectively achieved, so as to reduce halations on an edge of a defogged image, and generate a defogged image with higher quality.

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration

Abstract

Disclosed in the present invention are a virtual-real fusion-based ergonomic assessment method and simulation system. The system comprises a user and device module, a virtual scene constructing module and a data processing and analysis module. The method comprises: by means of a human body motion capture device, acquiring real human body joint point position data so as to generate a figure model of a current pose, and integrating the figure model into a visual device and a PC side in which a virtual scene is implanted; calculating according to the received human body joint point position data to obtain human body joint point comprehensive data, and acquiring virtual scene data; and reasoning and determining human body motions according to the human body joint point comprehensive data and the virtual scene data to obtain human body pose data, calculating to obtain human body pose assessment information, and analyzing whether ergonomic assessment indexes are reasonable. The present invention solves the problem of inaccurate ergonomic analysis during virtual assembly simulation in the prior art, achieves ergonomic analysis during the immersive assembly process of workers, and uses virtual-real fusion, thus ensuring the accuracy of man-machine assessment.

IPC Classes  ?

• G06Q 10/0639 - Performance analysis of employeesPerformance analysis of enterprise or organisation operations

Abstract

Disclosed are a long-term stable perovskite solar cell and a preparation method therefor. A fluorine-containing inorganic ammonium salt is used to carry out ion exchange with perovskite, to construct a perovskite light absorption layer with multiple protections. Multiple protections for perovskite are formed from physical, chemical and other aspects, improving the stability of the cell.

IPC Classes  ?

• H10K 85/50 - Organic perovskitesHybrid organic-inorganic perovskites [HOIP], e.g. CH3NH3PbI3
• H10K 30/40 - Organic devices sensitive to infrared radiation, light, electromagnetic radiation of shorter wavelength or corpuscular radiation comprising a p-i-n structure, e.g. having a perovskite absorber between p-type and n-type charge transport layers

Abstract

The present invention relates to a video score prediction method based on a deep neural network and double regularization. The method comprises: reconstructing a user-video rating matrix by using an MILDA algorithm; introducing double regularization terms to impose constraints on a matrix factorization process; and introducing a deep neural network to improve the prediction precision, wherein a video relevance regularization term that integrates user activity and a reliable nearest neighbor regularization term are introduced so as to construct a matrix factorization recommendation model that integrates said video relevance regularization term and said reliable nearest neighbor regularization term. The method comprises inputting latent features into the deep neural network, so as to obtain a result of a deep neural network model; and combining the result of the deep neural network model with a structure of matrix factorization, so as to obtain a final predicted score, thus improving the precision of the predicted score.

IPC Classes  ?

• G06F 16/735 - Filtering based on additional data, e.g. user or group profiles

Abstract

The present application discloses a method and a device for user grouping and resource allocation in a NOMA-MEC system. The hybrid deep reinforcement learning algorithm proposed in the present application solves the hybrid problem of deep reinforcement learning that is difficult to deal with both discrete and continuous action spaces by using DDPG to optimize continuous actions and DQN to optimize discrete actions. Specifically, the algorithm determines a bandwidth allocation, an offloading decision, and a sub-channel allocation (user grouping) of the user device based on the user's channel state, in order to maximize the ratio of the computation rate to the consumed power of the system. The algorithm is well adapted to the dynamic characteristics of the environment and effectively improves the energy efficiency and spectrum resource utilization of the system.

IPC Classes  ?

• G06N 3/092 - Reinforcement learning
• H04L 5/00 - Arrangements affording multiple use of the transmission path

Abstract

The present disclosure relates to the field of computer vision image dehazing and discloses a single image dehazing method based on detail recovery. The method includes step 1: constructing a training dataset; step 2: constructing a backbone dehazing network to achieve preliminary image dehazing: based on the U-Net network model, introduce a residual module based on pixel attention mechanism in the encoding region, and an feature enhancement module in the decoding area; step 3: constructing a detail recovery network for image detail recovery, and introducing residual shrinkage module and spatial attention mechanism; step 4: training an overall network model composed of the backbone dehazing network and the detail recovery network; step 5: Testing. The present disclosure can effectively remove fog while improving the problem of edge detail information loss, reducing the blurring of the edges of the dehazing image, and generating a higher-quality dehazing image.

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration

Abstract

The present disclosure discloses a method for extracting parasitic capacitance of interconnection lines of an integrated circuit based on discontinuous Galerkin finite element method. The method includes: dividing non-uniform rectangular grids according to the distribution situation of conductors; determining whether the rectangular grids are boundary cell grids, and marking global numbers and numbers to be solved in sequence; initializing degree of freedom values of all rectangular grids; traversing all rectangular grids, obtaining a linear system of equations, and computing potential function degrees of freedom of all rectangular grids; obtaining an electric field strength function degree of freedom of each cell according to the potential function degree of freedom of each rectangular grid; and dividing a Gaussian surface of each conductor, performing integration of the determined electric field strength function on the Gaussian surface to obtain electric charge, and finally, obtaining main conductor capacitance and coupling capacitance.

IPC Classes  ?

• G06F 30/39 - Circuit design at the physical level
• G06F 17/12 - Simultaneous equations
• G06F 30/392 - Floor-planning or layout, e.g. partitioning or placement
• G06F 30/398 - Design verification or optimisation, e.g. using design rule check [DRC], layout versus schematics [LVS] or finite element methods [FEM]
• G06F 111/10 - Numerical modelling

Abstract

The present disclosure relates to the field of design for testability of super-large-scale integrated circuits, and discloses a flexible configurable module (FCM) based chiplet test circuit. The core structure of the circuit is located at an interposer. The test circuit includes FCMs, a control signal configuration module and a test state control module, where the FCM adopts a two-way skew-symmetric structure to implement data transmission in the horizontal direction and the vertical direction; the control signal configuration module is connected to control signals of all the FCMs, so as to control the data transmission directions as well as switch on and switch off states of all the FCMs; and the test state control module controls the shift and update operations of data inside the FCMs and the control signal configuration module.

IPC Classes  ?

• G01R 31/28 - Testing of electronic circuits, e.g. by signal tracer

Abstract

The present application provides an unmanned aerial vehicle (UAV)-assisted federated learning resource allocation method for an UAV-assisted federated learning wireless network scenario, which takes into account the effect of altitude of the UAV on the coverage range in order to achieve an equilibrium between the total energy consumption of the user and federated learning performance. The method simultaneously considers the total energy consumption of the user and the federated learning performance, defines the total cost function of the system. The total cost function consists of weighting of the total energy consumption of the user and the inverse of the number of users participating in federated learning, and forms the optimization problem with a minimization of the total cost function.

IPC Classes  ?

• G05D 1/48 - Control of altitude or depth
• G05D 1/644 - Optimisation of travel parameters, e.g. of energy consumption, journey time or distance
• G06N 3/098 - Distributed learning, e.g. federated learning
• G05D 101/00 - Details of software or hardware architectures used for the control of position
• G05D 101/15 - Details of software or hardware architectures used for the control of position using artificial intelligence [AI] techniques using machine learning, e.g. neural networks
• G05D 109/20 - Aircraft, e.g. drones

Abstract

Disclosed are an ergonomic evaluation method and simulation system based on virtual-real fusion. The system includes a user and device module, a virtual scene building module, and a data processing and analysis module. The method includes: obtaining real-time human joint point position data by means of a human motion capturing device, generating a character model of a current posture, and integrating the character model into a visual device and a personal computer (PC) terminal that are implanted with a virtual scene; obtaining comprehensive human joint point data through computation according to the real-time human joint point position data, and obtaining virtual scene data; and determining a human motion according to the comprehensive human joint point data and the virtual scene data, obtaining human posture data, obtaining human posture evaluation information through computation, and conducting analysis to determine whether an ergonomic evaluation index is rational.

IPC Classes  ?

• G06T 7/00 - Image analysis
• G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
• G06T 7/246 - Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
• G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
• G06T 11/00 - 2D [Two Dimensional] image generation

Abstract

The present invention relates to the technical field of antennas and microwaves. Disclosed is a horizontal-plane null frequency scanning antenna. According to the present invention, a first sector patch (1') and a second sector patch (1") are loaded on a dielectric substrate (1) having any dielectric constant. The circumferences of the first sector patch (1') and the second sector patch (1") are connected to the dielectric substrate (1) by means of vertical shorting walls, respectively. Notches (2), a coaxial feeding probe (3), and a shorting pin (4) are loaded on the first sector patch (1'), 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 (1") realizes a single-direction null frequency scanning function on the horizontal plane. The null frequency scanning antenna implemented by the present invention has a wide scanning range, high sensitivity, a small size, a low profile and a simple structure, and has a wide application prospect in various wireless sensing systems, direction finding systems, and anti-interference systems of the Internet of things.

IPC Classes  ?

• H01Q 1/50 - Structural association of antennas with earthing switches, lead-in devices or lightning protectors

Abstract

Disclosed in the present invention is an offloading decision and resource allocation method based on integrated sensing, computation and communication. A system cost function is defined by comprehensively considering energy consumption, delay and migration costs, and a problem of minimizing the long-term average cost of a user is established under the constraints of a sensing failure rate of the user and the maximum completion delay of a task. A virtual queue is established for the sensing performance of the user on the basis of Lyapunov optimization theory, and a long-term stochastic optimization problem is converted into a single-slot deterministic optimization problem by using a Lyapunov drift-plus-penalty function. The converted problem is divided into two layers, e.g., an inner layer and an outer layer, wherein in the inner layer, an optimal task offloading ratio under each base station selection and channel allocation of the user is obtained by means of theoretical derivation; and in the outer layer, according to the result of performing problem solving in the inner layer, the base station selection and channel allocation of the user are determined by means of matching theory.

IPC Classes  ?

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

Abstract

Disclosed in the present invention is an in-Internet-of-Things age-of-information-based unmanned aerial vehicle-assisted data acquisition method. In views of the problem of information freshness in an unmanned aerial vehicle-assisted data acquisition system, the method provides an age-of-information-based unmanned aerial vehicle-assisted data acquisition mode. Taking into account both the communication distance of a wireless sensor node and motion parameters of a unmanned aerial vehicle, the mode establishes an unmanned aerial vehicle-assisted data acquisition model, which uses the maximum communication distance of a node as a clustering distance to cluster nodes in an area and to acquire the minimum clustering number; secondly, takes into account the spatial positions of the nodes to determine the data acquisition sequence of the member nodes in each cluster, and to obtain the minimum time of flight according to a certain flight trajectory; and finally, acquires the average spatial correlation age of information (SCAoI) of all nodes in the area.

IPC Classes  ?

• H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information

Abstract

Disclosed in the present invention is an unmanned aerial vehicle-assisted federated learning resource allocation method, which aims at an unmanned aerial vehicle-assisted federated learning wireless network scenario and considers the influence of the altitude of an unmanned aerial vehicle on a coverage area so as to realize the balance between the total energy consumption of users and federated learning performance. According to the method, the total energy consumption of users and the federated learning performance are considered at the same time, a total cost function of a system is defined, wherein the total cost function is formed by weighting the total energy consumption of users and a reciprocal of the number of users participating in federated learning, and an optimization problem of minimization of the total cost function is formed, which is decomposed into three optimization sub-problems: the horizontal position of an unmanned aerial vehicle, local precision, and communication and computing resources; the three sub-problems are respectively solved by using successive convex approximation, Dinkelbach Method, dichotomy and KKT conditions, and finally a reasonable resource allocation solution is obtained by iterating the three sub-problems, so that the total energy consumption of users is reduced while guaranteeing the federated learning performance.

IPC Classes  ?

• H04W 52/24 - TPC being performed according to specific parameters using SIR [Signal to Interference Ratio] or other wireless path parameters

Abstract

The present application belongs to the field of intelligent transportation technology, and in particular to a high-precision spatio-temporal trajectory recovery method based on cell phone signaling data, using a density clustering algorithm to pre-process original cell phone signaling data, using a grid clustering algorithm that fuses spatio-temporal features, introducing POI data from Baidu maps, and carrying out a clustering analysis from the spatio-temporal two dimensions, extracting a plurality of staying points of the signaling user, and then reconstructing a signaling user's travel trajectory based on the staying points, the method provided by the present application enables the user's reconstructed trajectory to have a higher degree of precision, and is more closely fitted to the user's real trajectory.

IPC Classes  ?

• H04W 64/00 - Locating users or terminals for network management purposes, e.g. mobility management
• 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

Abstract

The present application provides a resource allocation method for a unmanned aerial vehicle (UAV)-assisted symbiotic radio system, which addresses the problem of how to improve the system transmission rate in a multi-IoT device scenario. A passive sensor data collection mechanism based on a UAV-assisted symbiotic radio communication system under multiple backscatter devices (BDs) is proposed. When the base station sends signals to the cellular users, multiple IoT BDs on the ground perform energy collection and backscatter of RF signals sent by the base station, and the UAV receives backscatter signals from the BDs and collects the data from all the BDs on the ground, i.e., all the BDs share RF sources with the cellular users.

IPC Classes  ?

• H04B 7/185 - Space-based or airborne stations

Abstract

In order to solve the problems of large communication load of vehicular networks in the city and long delay taken by a vehicle user to request a service, the present invention provides a method for drone-assisted caching in a vehicular network on the basis of a geographical location. Content is classified into local content and general content. A moving vehicle user and a drone cache only the general content, and a roadside unit at a fixed location proportionally caches the local content and the general content. A content delivery method is designed, and the content request delay of a vehicular network within a period of time is analyzed to establish an optimization problem of minimizing the average request delay. In order to solve the problem, a joint optimization method for drone trajectories and node caching strategies is designed. The proportion of general content cached by a roadside unit is first optimized by means of an exhaustion method; caching strategies of each roadside unit and a drone are then determined by means of a preference-based swap collaborative caching method; and finally, a trajectory optimization method based on a greedy algorithm is used to further optimize drone trajectories.

IPC Classes  ?

• H04W 28/14 - Flow control using intermediate storage

Abstract

The present invention relates to the technical field of intelligent transportation, and in particular to a high-precision space-time trajectory restoration method based on mobile phone signaling data. The method comprises: preprocessing original mobile phone signaling data by using a density clustering algorithm; introducing point of interest (POI) data of the Baidu map by using a grid clustering algorithm integrating space-time features, performing clustering analysis from two dimensions of space and time, and extracting a plurality of stay points of a signaling user; and then reconstructing a travel trajectory of the signaling user on the basis of the stay points. By means of the method provided by the present invention, the reconstructed trajectory of the user is more accurate and more closely fitted to an actual trajectory of the user.

IPC Classes  ?

• H04W 4/029 - Location-based management or tracking services
• H04W 4/02 - Services making use of location information

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. On the basis of achieving low power consumption, by measuring the duty ratio and accurately switching a phase, the present invention ensures sustainable injection of energy, thereby achieving fast starting of the crystal oscillator.

IPC Classes  ?

• H03B 5/36 - Generation of oscillations using amplifier with regenerative feedback from output to input with frequency-determining element being electromechanical resonator being a piezoelectric resonator active element in amplifier being semiconductor device

Abstract

Disclosed in the present invention is an unmanned-aerial-vehicle-assisted symbiotic radio system resource allocation method. With regard to the problem of how to improve a system transmission rate in a scenario where there are a plurality of Internet-of-Things devices, provided is an unmanned-aerial-vehicle-assisted passive sensor data collection mechanism based on a symbiotic radio communication system and using a plurality of backscatter devices (BDs). When a base station sends signals to a cellular user, a plurality of Internet-of-Things BDs on the ground perform energy collection and backscattering on radio-frequency signals sent by the base station; and an unmanned aerial vehicle receives backscatter signals from the BDs and collects data of all the BDs on the ground, that is, all the BDs share a radio-frequency resource with the cellular user, such that an unmanned-aerial-vehicle-assisted data collection model based on symbiotic radio is formed. The radio-frequency signals sent by the base station and received by the BDs are divided into two parts, wherein one part collects energy for use in circuit consumption of the BDs themselves, and the other part sends the data to the unmanned aerial vehicle by using symbiotic radio technology. In the transmission process, TDMA technology is used to reduce mutual interference between the BDs.

IPC Classes  ?

• H04W 72/0453 - Resources in frequency domain, e.g. a carrier in FDMA

Abstract

A method for offloading decision and resource allocation based on integration of communication, sensing and computing is provided. A system cost function is defined by considering energy consumption, time delay, and migration costs. Under the constraints of user sensing failure rate and maximum task completion time delay, a long-term average cost minimization problem is established. Based on Lyapunov optimization theory, a virtual queue is established to evaluate the user sensing performance. By using Lyapunov drift-plus-penalty function, the long-term stochastic optimization problem is transformed into a deterministic optimization problem with a single time slot. The transformed problem is divided into inner and outer layers. The inner layer obtains the optimal task offloading ratio for each user base station selection and channel allocation through theoretical derivation. The outer layer determines the user base station selection and channel allocation based on the results of solving the inner layer problem through matching theory.

IPC Classes  ?

• H04W 24/02 - Arrangements for optimising operational condition
• H04L 5/00 - Arrangements affording multiple use of the transmission path
• H04W 72/0446 - Resources in time domain, e.g. slots or frames
• H04W 72/52 - Allocation or scheduling criteria for wireless resources based on load
• H04W 72/541 - Allocation or scheduling criteria for wireless resources based on quality criteria using the level of interference

Abstract

Provided is a pattern division multiple access (PDMA) communication system based on optimal frequency-hopping patterns, which includes a transmitter and a receiver. The transmitter modulates an input baseband signal into a modulated signal, and then converts the modulated signal into a signal that hops in frequency according to the optimal frequency-hopping pattern. The receiver reverts the received frequency-hopping signal to an output modulated signal using an optimal frequency-hopping pattern same as that of the transmitter, and then demodulates the modulated signal into a baseband signal. The optimal frequency-hopping patterns are obtained by applying two-dimensional cyclic shift to a Golomb Costas array constructed based on an extension field, and thus are frequency-hopping patterns with ideal autocorrelation and cross-correlation properties.

IPC Classes  ?

• H04B 1/713 - Spread spectrum techniques using frequency hopping
• H04L 5/00 - Arrangements affording multiple use of the transmission path

Abstract

The present invention belongs to the technical field of applied superconductivity, and relates to a linear electric motor based on superconducting cable excitation. The linear electric motor comprises a rotor and a stator, wherein there is an air gap between the rotor and the stator, and the rotor can move linearly along the stator. The rotor comprises a rotor core and an armature winding, wherein a groove is formed in the rotor core, and the armature winding is embedded in the groove of the rotor core. The stator comprises a stator core and superconducting excitation cables, wherein the superconducting excitation cables are arranged side by side inside the stator core, the superconducting excitation cables are divided into a positive electrode cable and a negative electrode cable, and the directions of currents introduced into the two cables are opposite. After the currents are introduced into the superconducting excitation cables, magnetic fields are generated in the stator core by means of induction, the magnetic fields are uniformly distributed along a magnetic circuit of the stator core, and magnetic poles in which N poles and S poles are distributed in a staggered manner are formed in the stator core. When an alternating three-phase current is introduced into a rotor armature, a magnetic field for linear motion can be generated in the air gap, and under the action of force generated by the magnetic field and stator magnetic poles, the rotor is driven to move linearly along the stator, thereby implementing electromechanical energy conversion.

IPC Classes  ?

• H02K 41/03 - Synchronous motorsMotors moving step by stepReluctance motors
• H02K 55/02 - Dynamo-electric machines having windings operating at cryogenic temperatures of the synchronous type
• H01F 6/06 - Coils, e.g. winding, insulating, terminating or casing arrangements therefor

Abstract

An optimization method for turbines of a thermal power unit based on sparse big data mining in the technical field of turbine optimization. The optimization method comprises: acquiring historical operating data of a unit; selecting a set of controllable operating parameters highly correlated with the heat rate of turbines as optimized parameters; constructing a new sparse data-oriented pattern-growth association rule mining algorithm based on binary matrixes and the hyperlink technique; proposing a load balancing strategy based on matrix operation on an Apache Spark platform, and parallelly implementing the global calculation-balanced pattern-growth association rule mining algorithm; and discretizing the historical operating data by clustering, parallelly mining the discretized historical operating data to obtain an association rule, and performing de-discretization to obtain target values of the optimized parameters of the turbines under boundary conditions.

IPC Classes  ?

• G05B 15/02 - Systems controlled by a computer electric
• G06F 16/2458 - Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries

Abstract

Disclosed is a characterization method based on deep reinforcement learning for discrete manufacturing industry data. The method includes: collecting discrete manufacturing industry data, and creating a spatio-temporal database; dividing the discrete manufacturing industry data into a discrete feature and a continuous feature, creating a data coupling coding network, converting a coding vector in the coding network into a characterization vector, and creating a data characterization model; quantitatively characterizing discrimination of a data category by means of cluster evaluation indexes; and using weights of cluster evaluation indexes of different dimensions as dynamic rewards, creating a deep reinforcement learning model, and updating a neural network parameter of deep reinforcement learning through characterization of an interactive relation between a model and a discrete manufacturing decision-making analysis system.

IPC Classes  ?

• G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]

Abstract

Disclosed is a discrete manufacturing industrial data representation method based on deep reinforcement learning. The method comprises: collecting discrete manufacturing industrial data, and constructing a spatiotemporal database; dividing the discrete manufacturing industrial data into discrete features and continuous features, constructing a data coupling coding network, converting coding vectors in the coding network into representation vectors, and constructing a data representation model; using clustering evaluation indexes to quantify the degree of distinction between categories of the representation data; weighting different dimensions of clustering evaluation indexes to use as dynamic rewards, constructing a deep reinforcement learning model, and updating the neural network parameters of deep reinforcement learning by means of an interaction relationship between the representation model and a discrete manufacturing decision-making and analysis system. The present invention can represent dynamically changing mixed data, uses deep reinforcement learning to represent and enhance discrete manufacturing industrial data, and obtains an optimal form of data representation by means of continuous feedback of dynamic reward information via the interaction of a clustering evaluation index and a discrete industrial system.

IPC Classes  ?

• G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals

Abstract

The present invention belongs to the technical field of communications. Disclosed is an adaptive routing joint prediction (JP) method for a flight Ad Hoc network. In the JP method of the present invention, the maneuverability, an available size of a buffer area, and a link expiration time (LET) of each neighboring unmanned aerial vehicle (NU) are predicted and acquired by using a long short term memory (LSTM) model, so as to prevent the occurrence of an unmanned aerial vehicle with high maneuverability, high traffic and a weak link, and an appropriate path is established; and a routing decision-making problem is then expressed as an optimization problem, and a rapid joint routing decision is made by using a proposed entropy weight-based multi-metric (EWMM) method. During an integrated prediction and decision-making process provided in the present invention, multi-metric factors possibly causing a packet loss or delay at present and in the future are taken into consideration; and a simulation result proves the effectiveness of an LSTM-based JP model, and indicates that a JPE protocol is superior to a PAP and an SPA protocol.

IPC Classes  ?

• H04W 16/22 - Traffic simulation tools or models

Abstract

The present invention belongs to the technical field of power system scheduling. Disclosed is an agricultural greenhouse temperature control load regulation and control method taking a standby capability into consideration. The method comprises: on the basis of a quantitative relationship constraint between a load power of a greenhouse temperature control facility and heat generated by the temperature control facility, a quantitative relationship constraint between the heat generated by the temperature control facility and a greenhouse indoor temperature, a power constraint of a greenhouse temperature control device, an interval constraint of the greenhouse indoor temperature, and an accumulated temperature constraint of the greenhouse indoor temperature, constructing a minimization model for agricultural greenhouse temperature control costs, which model takes into consideration the participation of a temperature control load in a standby. By means of the present invention, the adjustability of a greenhouse temperature control load is taken into consideration, and the greenhouse temperature control load has the capability of providing an operation standby for a power system; a standby capacity calculation method for the greenhouse temperature control load is provided in view of crop growth requirements; and the overall power utilization cost of the agricultural greenhouse temperature control load is reduced by comprehensively taking into consideration an electricity fee expenditure and upper and lower standby capacity fee revenues of the greenhouse temperature control load.

IPC Classes  ?

• H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
• H02J 3/14 - Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
• A01G 9/26 - Electric devices
• G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
• G06Q 30/0201 - Market modellingMarket analysisCollecting market data
• G06Q 50/06 - Energy or water supply

Abstract

The present invention belongs to the technical field of wireless communications. Disclosed is an IRS-based optimization method for resource allocation of a sensing enhanced cognitive radio network. The method comprises the steps of: a secondary base station acquiring channel state information from a base station to an IRS and from the IRS to a user; defining IRS diagonal phase shift matrixes in a sensing stage and a transmission stage, and establishing an optimization model according to the channel state information; using the optimization model to perform optimization regarding the IRS diagonal phase shift matrix in the sensing stage assisting the secondary base station in sensing a frequency spectrum occupation situation of a main network; entering the transmission stage, and using the optimization model to optimize beamforming vectors of the secondary base station and the IRS diagonal phase shift matrixes in the transmission stage under different sensing results; and the secondary base station transmitting transmission information according to optimization results, so as to improve the spectral efficiency of a system when the interference to a primary user is restrained. By means of the present invention, a transmission process of a secondary base station is assisted by means of an IRS, such that the secondary base station makes different transmission policies in a more detailed manner, thereby improving a channel environment, and increasing a sum rate of secondary users.

IPC Classes  ?

• H04W 24/02 - Arrangements for optimising operational condition

Abstract

Disclosed in the present invention is a method for constructing an intelligent computation engine of an artificial intelligence cross-platform model on the basis of knowledge self-evolution. The method comprises the following steps: determining a source moment and a target moment, and dividing a discrete manufacturing system data set at a certain moment into a plurality of data sets according to a division rule and on the basis of artificial experience; initializing a dynamic discrete manufacturing system model; preprocessing data, and constructing a task pool; constructing a meta learning framework, which comprises training the meta learning model and quickly adjusting a target neural network, so that rapid migration among multiple tasks is realized; changing the target moment, and quickly migrating a trained neural network to a new task by using the meta learning framework; iterating the previous step until the dynamic discrete manufacturing system model converges, and storing model parameters after convergence; and applying the dynamic discrete manufacturing system model to a new environment task, and testing the performance thereof. By means of the present invention, the time for the convergence of model parameters can be shortened, and the present invention has great significance for the training of a dynamic discrete manufacturing model, which is disturbed with time in actual production.

IPC Classes  ?

• 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
• G06N 3/092 - Reinforcement learning
• G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
• G06N 3/096 - Transfer learning

Abstract

A reconfigurable coupler based on a ridge gap waveguide. The reconfigurable coupler includes an inverted microstrip line, a ridge gap waveguide, and several reconfiguration components configured to adjust a coupling degree of a coupler, where the inverted microstrip line feeds the ridge gap waveguide with power, the inverted microstrip line is located at an upper layer while the ridge gap waveguide is located at a lower layer, the ridge gap waveguide includes an upper metal layer, a second dielectric layer and a lower metal layer that are arranged from top to bottom, the upper metal layer is in a square shape having a gap at a diagonal, four sides of the upper metal layer are provided with microstrip lines extending outward to the inverted microstrip line respectively, two sides of the gap are each provided with several isolation grooves, and the reconstruction components are arranged at the isolation grooves.

IPC Classes  ?

• H01P 5/107 - Hollow-waveguide/strip-line transitions
• H01P 1/15 - Auxiliary devices for switching or interrupting by semiconductor devices

Abstract

A method for manufacturing a transparent electrode with a low surface roughness, in particular a method for preparing a large-area, low-cost and patterned transparent electrode using the screen-printing technology, which focuses on solving the problem of a high roughness of a screen-printed pattern. First, a substrate is coated with a layer of a smooth conductive material, then screen printing is performed to obtain a conductive pattern, and finally, a layer of a surfactant-modified composite conductive material is applied and film transfer printing is performed to obtain a transparent electrode with a low surface roughness. The transparent electrode prepared by the method retains a smooth surface of the original substrate after peeling, which has a remarkably low surface roughness and a significantly increased success rate of film transfer printing, and can be directly applied to various photoelectric devices, such as solar batteries, LEDs, flat panel displays and electronic sensors.

IPC Classes  ?

• H01M 4/139 - Processes of manufacture
• H01B 5/14 - Non-insulated conductors or conductive bodies characterised by their form comprising conductive layers or films on insulating-supports
• H01B 13/00 - Apparatus or processes specially adapted for manufacturing conductors or cables
• B82Y 30/00 - Nanotechnology for materials or surface science, e.g. nanocomposites