Abstract

A resource allocation method for an unmanned aerial vehicle-assisted edge computing network based on intelligent reflecting surface assistance, comprising: constructing an unmanned aerial vehicle-assisted edge computing network system model based on intelligent reflecting surface assistance; constructing a communication model, a time delay model and an energy consumption model; according to the communication model, the time delay model and the energy consumption model, constructing a maximum average throughput function; optimizing the maximum average throughput function by using successive convex approximation and block coordinate descent algorithms, and according to the optimized maximum average throughput function, calculating an optimal resource allocation result. The present application uses an intelligent reflecting surface to assist in an unmanned aerial vehicle-assisted network system, thereby increasing the channel gain of links between automobiles and unmanned aerial vehicles.

IPC Classes  ?

• H04W 16/22 - Traffic simulation tools or models

Abstract

A group switching method in an energy-saving mode. The access and switching of a user are dynamically managed by means of a grouping method, so that a sufficient number of services having sufficient quality are provided for existing users, the efficiency of switching is improved, cells are not overloaded, and resources are not wasted. The proposed group switching method mainly comprises: on the basis of a user service type, performing group partitioning on a switching user and an energy-saving compensation cell, dynamically partitioning a user group according to a magnitude relationship between resources required by a user and resources provided by the compensation cell, and accessing the user group.

IPC Classes  ?

• H04W 52/02 - Power saving arrangements

Abstract

The present invention belongs to the technical field of wireless communications and relates to a minimization of drive test (MDT) configuration coverage protection and user grouping method. The method comprises: performing information collection; receiving memory information of a UE; according to the memory information of the UE, determining whether it is possible to store both LTE extended configuration information and NR extended configuration information; if both the LTE extended configuration information and the NR extended configuration information can be stored, sending configuration content of the two pieces of configuration information to the UE; and if it is not possible to store both the LTE extended configuration information and the NR extended configuration information, determining whether one piece of the LTE extended configuration information and the NR extended configuration information can be stored. The present invention is applicable to a large-scale wireless sensor network, and solves the problem of logged MDT configuration coverage to a certain extent.

IPC Classes  ?

• H04W 24/02 - Arrangements for optimising operational condition

Abstract

An intelligent reflecting surface assistance-based task unloading and resource allocation method for an unmanned aerial vehicle mobile edge computing network system, comprising: constructing an intelligent reflecting surface-assisted unmanned aerial vehicle mobile edge computing network system model; constructing an intelligent reflecting surface-assisted unmanned aerial vehicle mobile edge computing network communication model ; according to the communication model, obtaining a time delay model and an energy consumption model; establishing a multivariable joint optimization model so as to minimize the energy consumption of an unmanned aerial vehicle; and using a deep reinforcement learning method to solve the objective optimization model. By means of intelligent reflecting surface assistance, joint optimized unloading decision and resource allocation, the present application effectively reduces the energy consumption of the unmanned aerial vehicle and improves the performance of the unmanned aerial vehicle network system.

IPC Classes  ?

• H04W 4/40 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]

Abstract

A joint optimization method for path selection and gate scheduling in time-sensitive networking comprises S1, a CNC finding a TSN topology, and abstracting same into a network directed graph; S2, a terminal device sending to a CUC a TSN connection request, and the CUC sending same to the CNC; S3, the CNC selecting K shortest paths as alternative paths; S4, the CNC selecting m preferred paths; S5, the CNC finding an optimal transmission path for a TT stream, and finding a proper transmission path for a non-TT stream; S6, CNC completing traversal; S7, configuring a gate control list for the optimal transmission path of each pair of terminal devices; and S8, the CNC encapsulating a computation result into a gate scheduling table, configuring the gate scheduling table to a TSN switch, and then sending a traffic transmission computation result to the TSN terminal device.

IPC Classes  ?

• H04L 47/125 - Avoiding congestionRecovering from congestion by balancing the load, e.g. traffic engineering
• H04L 45/24 - Multipath
• H04L 45/302 - Route determination based on requested QoS

Abstract

A path planning method oriented to various parking scenarios, said method relating to the technical field of unmanned vehicles. The method comprises: building a vehicle kinematic model, and designing a multi-stage non-linear prediction control model; designing a multi-stage non-linear prediction controller, and designing a constraint function which takes as basic constraints the pose of a vehicle at a starting point, the pose of the vehicle at a target point, a parking speed, a parking steering angle, a non-holonomic kinematic constraint, and the minimum safe obstacle avoidance distance; integrating constraints of a parking system into an optimization control problem that satisfies the multi-stage non-linear prediction control model and the constraints of the parking system; and using an interior point method to solve the optimization control problem, so as to obtain an optimal control sequence, and applying elements in a first column in the sequence to vehicle low-level control. The present invention can ensure the controllability and accuracy of parking and can also improve the flexibility and efficiency of a parking process, thereby greatly optimizing the architecture of an automatic parking control system.

IPC Classes  ?

• B60W 30/06 - Automatic manoeuvring for parking

Abstract

The present invention relates to a vehicle-end dynamic blockchain-based information transmission method for the Internet of Vehicles, comprising: vehicles constructing in the Internet of Vehicles a dynamic blockchain network, so as to achieve a decentralized architecture. Each vehicle becomes a network node to jointly participate in transaction verification and blockchain management, improving system security and attack resistance. A vehicle stores data in a blockchain, and other vehicles obtain the data on the basis of consensus and verification, helping to drive vehicle systems and share traffic information. The vehicles may create the blockchain by means of lightweight software and infrastructure without a large amount of hardware investment and maintenance cost any more. The present invention uses the vehicles to construct the dynamic blockchain and implement identity authentication, so that the vehicles may have more autonomous control rights.

IPC Classes  ?

• H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols

Abstract

A task unloading method based on unmanned aerial vehicle cooperation, relating to the field of unmanned aerial vehicles. The method comprises: constructing an unmanned aerial vehicle cooperation task unloading system; according to the number of CPU cycles which can be executed by a ground user in unit time and the number of CPU cycles of a task, creating a local task unloading model of the ground user; according to the transmitting power of the ground user, the number of CPU cycles which can be executed by MEC servers on an original unmanned aerial vehicle and a cooperative unmanned aerial vehicle in unit time and the number of CPU cycles of the task, creating an unmanned aerial vehicle task unloading model of the ground user; according to the hovering power and the hovering delays of the unmanned aerial vehicles, creating a hovering model of the unmanned aerial vehicles; and, according to the local task unloading model of the ground user, the unmanned aerial vehicle task unloading model of the ground user and the hovering model of the unmanned aerial vehicles, computing by using a second-price sealed-bid auction algorithm to obtain an optimal task unloading allocation solution so as to unload the task. The present invention uses unmanned aerial vehicle assisted mobile edge computing for performing task unloading, thereby improving quality of service and experience of service for users.

IPC Classes  ?

• G06F 9/445 - Program loading or initiating
• G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]

Abstract

An agent policy learning method with privacy protection in mobile edge computing, which belongs to the technical field of mobile communications. The method comprises: establishing an edge collaborative computing unloading model which comprises a service caching model, a task unloading model and a system cost model; on the basis of the edge collaborative computing unloading model, using the minimization of the processing cost of a task as a target to establish an optimization problem of joint task unloading, service caching, computing power resource allocation and transmission power control; abstracting an optimal problem into a partially observable Markov decision process; and on the basis of the Markov decision process, using a multi-agent deep reinforcement learning algorithm based on a federated learning method to autonomously learn a task unloading, service caching, computing power resource allocation and transmission power control policy. In the present invention, an edge collaborative computing unloading model is established, such that an agent network protects privacy security of data and sensitive information of users by means of training based on federated learning.

IPC Classes  ?

• H04L 67/10 - Protocols in which an application is distributed across nodes in the network

Abstract

A data sharing incentivizing method based on a blockchain and an evolutionary game theory, relating to the technical field of data sharing incentivizing mechanisms. The method comprises: constructing a data sharing incentivizing model; on the basis of the data sharing incentivizing model, computing expected gains of users adopting different strategies; computing a replicator dynamics equation on the basis of the expected gains of the users adopting different strategies; and solving evolutionarily stable state points on the basis of the replicator dynamics equation, and analyzing a stable state condition on the basis of the evolutionarily stable state points to obtain a sharing incentivizing scheme. The present invention can improve the user participation rate.

IPC Classes  ?

• H04L 67/104 - Peer-to-peer [P2P] networks

Abstract

A beam-forming optimization method and apparatus for an IRS-assisted MISO communication system, and an electronic device, which relate to the technical field of wireless communications. The beam-forming optimization method for an IRS-assisted MISO communication system comprises: establishing an IRS-assisted MISO communication system, wherein the communication system comprises an AP, an IRS and a user; with the target of recovering data s, which is sent to the user by means of the AP, constructing a problem P of jointly optimizing AP active beam-forming and IRS passive beam-forming; decomposing the problem P into a beam-forming vector optimization problem P1 and an IRS phase shift optimization problem P2; giving an IRS phase shift, and solving the beam-forming vector optimization problem P1; and according to an acquired optimal beam-forming vector, solving the IRS phase shift optimization problem P2, so as to finally obtain the original data s, which is sent to the user by means of the AP.

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

The present invention relates to the field of big data recommendation, and in particular to a multi-party semi-supervised learning-based method for recommending financial products for potential users, for use in solving the problem that a financial product provider only has own data of positive samples and cannot perform recommendation. When the security and privacy of multi-party data are protected, multi-party unlabeled data is randomly sampled for multiple times to construct a binary classification dataset having balanced positive and negative samples, a vertical federated learning model based on a base learner is trained, reliable positive samples are selected from unlabeled sample data according to a prediction result, the process of dataset reconstruction sampling and model training prediction is iterated for multiple times, and a batch of reliable positive samples is selected. The method effectively solves batch recommendation of only a small number of positive samples and a large number of unlabeled samples, improves the reliability of recommendation, and achieves accurate batch recommendation of financial products for potential users.

IPC Classes  ?

• G06Q 30/0601 - Electronic shopping [e-shopping]

Abstract

The present invention belongs to the field of fluid-pipeline leakage detection, and relates to a fluid-pipeline leakage detection method based on an improved fuzzy twin support vector machine (FTSVM). The method comprises: acquiring acoustic vibration signals of a fluid pipeline under different degrees of leakage; performing feature extraction on the acoustic vibration signals indicating different degrees of leakage, and performing normalization processing on extracted feature data; and inputting normalized data into an improved FTSVM model, so as to obtain a pipeline leakage detection result. In the present invention, regional division is performed on a sample space by using the ratio of relative spatial distances of different samples, a theory of fuzzy data set is introduced into a noise and support vector aliasing region to perform distinguishing, and degree-of-membership assignment is also performed on a normal data region and a noise data region again, such that the present invention reduces the impact of noise data on an identification model, and also solves the defect of the robustness of the model being poor due to an FTSVM being unable to distinguish a support vector from noise data.

IPC Classes  ?

• G06F 30/20 - Design optimisation, verification or simulation

Abstract

A curvature-based solar-blind ultraviolet photodetector signal segmentation method, comprising: collecting solar-blind ultraviolet radiation according to a preset sampling time by using a solar-blind ultraviolet photodetector to generate a sampled signal; performing noise reduction on the sampled signal by means of a fractional calculus digital filter to generate a filtered signal; calculating a curvature estimated value of the filtered signal by using a method of fitting a circle with discrete points, and performing numerical optimization on the curvature estimated value by using an exponential function to obtain a curvature vector of the filtered signal; according to the curvature vector, solving a weighting coefficient by using a moving average filtering function and a binarization method, and weighting the filtered signal to obtain a plurality of non-zero discrete time domain segments; for the non-zero discrete time domain segments, eliminating an interference segment according to mean values and widths to obtain a candidate segmentation point signal; and setting a determination index according to the candidate segmentation point signal to determine upper and lower segmentation boundary points to segment and rectify the filtered signal to obtain a solar-blind ultraviolet photodetector signal.

IPC Classes  ?

• G01J 1/42 - Photometry, e.g. photographic exposure meter using electric radiation detectors
• G06F 18/10 - Pre-processingData cleansing
• G06F 18/213 - Feature extraction, e.g. by transforming the feature spaceSummarisationMappings, e.g. subspace methods

Abstract

The present invention belongs to the technical field of communications, and relates to a clustering routing method based on an optimal number of cluster heads and applied to satellite networking. The method comprises the following steps: S1, establishing a system module; S2, establishing a satellite-networking double-layer coverage model; and S3, establishing a clustering routing algorithm based on an optimal number of cluster heads and applied to satellite networking. The present invention provides a new clustering hierarchical structure system, in which an area formed by small satellite networking is a cluster; instead of full-area flooding, intra-cluster information is transmitted to a cluster head satellite after being processed; and the cluster head satellite, i.e., a low-orbit satellite node, delivers the intra-cluster information to a medium-orbit satellite, and the medium-orbit satellite delivers the intra-cluster information to a ground station or other cluster groups. A double-layer satellite network coverage model is formed. The aim of reducing the network throughput and network overheads is achieved.

IPC Classes  ?

• H04W 40/32 - Connectivity information management, e.g. connectivity discovery or connectivity update for defining a routing cluster membership

Abstract

The present invention relates to the technical field of trajectory prediction, and particularly relates to an automatic trajectory prediction method based on a graph spatial-temporal pyramid. The method comprises: pre-processing radar point cloud data collected in real time, so as to obtain an aerial view; processing the aerial view by means of a spatial-temporal pyramid network, so as to output a scenario feature; performing screening and processing on conventional historical trajectory data collected by a sensor, so as to obtain original data; further processing the original data to acquire an input representation and a fixed graph, and inputting the input representation and the fixed graph into a graph convolutional network for processing, so as to obtain a graph feature; inputting the graph feature and the scenario feature into a graph attention network for integration, so as to obtain a spatial-temporal graph; and inputting the spatial-temporal graph into a transformer network, and outputting predicted trajectories and categories of traffic participants around an autonomous vehicle. In the present invention, normal historical trajectory data is additionally added, and the interpretability and robustness of an input are improved by means of combining a graph convolutional network with a spatial-temporal pyramid network, thereby improving the precision of prediction.

IPC Classes  ?

• G06T 7/246 - Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
• G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
• G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]

Abstract

A task offloading and resource allocation method based on mobile edge computing, relating to the technical field of wireless communications. The method comprises: constructing a mobile edge computing system model; constructing a service cache model and a service assignment model on the basis of the mobile edge computing system model; establishing a task offloading and resource allocation constraint condition on the basis of the service cache model and the service assignment model; according to the task offloading and resource allocation constraint condition, constructing a task offloading and resource allocation joint optimization problem for the objective of minimizing a task processing delay; and solving the task offloading and resource allocation joint optimization problem by using a DSRA algorithm to obtain a task offloading and resource allocation strategy. The present invention can realize a low delay and a high cache hit rate and realize on-demand allocation of resources.

IPC Classes  ?

• H04W 28/08 - Load balancing or load distribution

Abstract

The present invention relates to a cross-network time synchronization method for industrial wireless network and TSN fusion, which belongs to the field of Industrial Internet, comprising the following steps: S1: conducting clock synchronization by a TSN module of a border gateway with a TSN switch of a TSN 2 in a slave clock state; S2: inside the border gateway, using the TSN module as a master clock of an industrial wireless module, and conducting clock synchronization by the industrial wireless module with the TSN module through a serial port; S3: conducting clock synchronization by a routing device in the industrial wireless network with the industrial wireless module of the border gateway through a beacon frame synchronization mode in the slave clock state, and conducting clock synchronization by the routing device as the master clock of a node device for the node device; S4: conducting clock synchronization by a terminal side conversion node in the slave clock state with the node device in the industrial wireless network through a timestamp-free synchronization mode, and finally, synchronizing a TSN switch of a TSN 1 with the terminal side conversion node in the slave clock state.

IPC Classes  ?

• H04J 3/06 - Synchronising arrangements

Abstract

The present invention relates to a uniform configuration method for the integration of an industrial wireless network and a time-sensitive network (TSN), and belongs to the field of network configuration management. The method comprises the following steps: S1: establishing a user plane application to acquire service traffic information and a network topology structure; S2: the user plane application transferring the service traffic information to a control plane by means of a northbound interface, and acquiring a data plane network state by means of the northbound interface; S3: a uniform configuration system performing modeling for the service traffic information and the network topology structure, a scheduling calculation module parsing a service traffic information model, performing scheduling calculation, and obtaining a scheduling calculation result; S4: designing a network device configuration method for an industrial wireless network and a TSN, so as to configure network devices in a heterogeneous network; S5: designing heterogeneous network configuration information based on an XML format; and S6: the uniform configuration system issuing the configuration information, and configuring a network device in the heterogeneous network and a field device.

IPC Classes  ?

• H04L 41/0803 - Configuration setting
• H04L 41/0266 - Exchanging or transporting network management information using the InternetEmbedding network management web servers in network elementsWeb-services-based protocols using meta-data, objects or commands for formatting management information, e.g. using eXtensible markup language [XML]

Abstract

A small sample speech separation method based on data generation, comprising: S1, collecting and constructing a data set of speech to be separated and a data set of target speaker clean speech; S2, preprocessing the data sets; S3: by using an LSTM-based speech matching model, performing frame-level target speaker matching on each segment of speech in the preprocessed data set of speech to be separated, and according to a matching result, determining a speech segment to: not contain a target speaker, only contain one target speaker, and contain a plurality of target speakers; S4, by using a GAN-based speech generation model containing a plurality of target speakers, expanding a speech segment to be separated; and S5: constructing and training a TCN-based speech separation model, separating speech to be separated containing a plurality of target speakers to obtain speech data of a single target speaker, and finally concatenating to obtain complete speech of the single target speaker.

IPC Classes  ?

• G10L 21/0272 - Voice signal separating

Abstract

The present invention belongs to the technical field of digital health management, and particularly relates to a depression diet management method based on food image segmentation, comprising: constructing a depression diet index-based digital health management database; acquiring physical health condition data of a current user; according to the physical health condition data of the current user, and in combination with the depression diet index-based health management database, performing intelligent data analysis, and reasoning a diet recommendation result for the current user; by means of the database, acquiring and storing the physical health condition data of the user and food images; carrying out intelligent segmentation on the images, and, by using a Fisher discriminant analysis method, performing anti-depression index analysis on foods after the segmentation; and performing clustering on selected foods, and, according to the physical health condition information of the user and food categories obtained after the clustering, setting a diet recommendation result. The present invention uses the Fisher discriminant analysis method to perform analysis and screening with respect to depression diet indexes of foods, enabling the food diet recommendation result to be more accurate.

IPC Classes  ?

• G16H 20/60 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
• G16H 20/70 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to mental therapies, e.g. psychological therapy or autogenous training
• G06V 10/762 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
• G06F 16/535 - Filtering based on additional data, e.g. user or group profiles
• G06F 16/55 - ClusteringClassification

Abstract

The present invention relates to a clock skew tracking method based on weighted observation fusion and timestamp-free interaction, and belongs to the technical field of wireless sensor networks. The method comprises performing listening synchronization by an implicit node S within an overlapping communication range between a reference node and multiple active nodes, and after multiple pairs of timestamp-free communication messages are successfully overheard, using multiple extended Kalman filtering algorithms to perform weighted fusion of multiple observed values on multiple obtained tracking results based on a scalar weighted linear minimum variance information fusion criterion, thus realizing timestamp-free relative skew fusion tracking of the implicit node. The present invention can not only dynamically track a relative clock skew on the basis of sending no message, but also reduce influence of a node with a relatively large tracking error on a listening node, thus robustness of skew tracking of the listening node is increased.

IPC Classes  ?

• H04J 3/06 - Synchronising arrangements
• H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

The present invention relates to a software defined optical network controller deployment method based on multi-path survivability protection, and belongs to the technical field of networks, which is applied to the deployment of layer 2 SDN controllers. On the premise of ensuring the requirements of users for the survivability of the control plane, a multi-controller multi-path cooperative control of switching nodes is proposed to further reduce the number of controllers and control the cost. The present invention first works out a controller deployment scheme with a unique link between switches and controllers. The scheme contains redundant controllers, and the number of controllers needs to be further reduced. The present invention verifies whether the fault probability of each switch is lower than that required by the user by adopting the posteriori thought, that is, according to the deployment result. The number of controllers is gradually reduced, and the survival probability of the switches is always ensured until the deployment number of controllers is minimized. Finally, a controller with minimum communication time delay is selected as a control center to complete the deployment of the entire control plane.

IPC Classes  ?

• H04Q 11/00 - Selecting arrangements for multiplex systems

Abstract

The present invention relates to a timestamp-free synchronization clock parameter tracking method based on extended Kalman filter, and belongs to the technical field of wireless sensor networks. With a first order Gauss Markov model and a clock model as a state equation, evolution processes of clock skew and instantaneous clock offset is described. Then an observation equation constituted by observation models of timestamp-free synchronization and instantaneous clock offset is established, and clock skew and instantaneous clock offset are jointly tracked by a tracking method based on extended Kalman filter to realize synchronization between a node to be synchronized and a reference clock node. The method can track two time-varying parameters simultaneously by following a network data flow without needing a dedicated synchronization frame to exchange synchronization information, which reduces energy consumption and improves synchronization precision.

IPC Classes  ?

• G06F 1/12 - Synchronisation of different clock signals
• G06F 17/11 - Complex mathematical operations for solving equations
• G06F 18/20 - Analysing

Abstract

The present invention relates to the technical field of oil wear debris monitoring, and specifically relates to a partition entropy-based oil wear debris feature signal extraction method. The method comprises: using a lubricating oil wear debris monitoring system for real-time data collection to obtain an original signal to be processed; performing low-pass filtering and harmonic interference suppression on said original signal to obtain a preprocessed signal; using a sliding window to divide the preprocessed signal to obtain a time domain sequence segment set; calculating a partition entropy set corresponding to the time domain sequence segment set, and performing processing to obtain a normalized partition entropy; performing curve fitting by using an empirical cumulative distribution of the normalized partition entropy to obtain an adaptive threshold, and partitioning a sample signal by using the adaptive threshold to obtain non-zero discrete time domain segments; and eliminating residual noise interference by using target signal feature recognition indexes to obtain a final oil wear debris feature signal extraction result. The present invention can protect the morphological features of a tiny wear debris sensing signal from being damaged while suppressing background noise.

IPC Classes  ?

• G06F 18/213 - Feature extraction, e.g. by transforming the feature spaceSummarisationMappings, e.g. subspace methods
• G06F 18/24 - Classification techniques
• G06F 18/10 - Pre-processingData cleansing
• G06F 123/00 - Data types

Abstract

The present invention relates to a consensus-based clock synchronization skew estimation method based on sequential least squares, and belongs to the technical field of wireless sensor networks. The method is to establish a relationship model of clock information and time delay between nodes with respect to a bounded random communication time delay scenario subject to arbitrary distribution, fully consider all clock information received by a node from a neighbor, build a clock parameter estimation model and a cost function based on a least squares principle, iteratively estimate relative clock skew by a sequential least squares method, and update logical clock parameters of nodes by a consensus-based clock synchronization method, so as to achieve global clock consistency of all nodes in a network in a completely distributed way. The present invention improves accuracy of relative skew estimation, effectively reduces storage overhead of the nodes, and improves robustness of a consensus-based synchronization algorithm against communication time delay.

IPC Classes  ?

• H04L 7/00 - Arrangements for synchronising receiver with transmitter
• H04W 56/00 - Synchronisation arrangements

Abstract

A driving system in an area outside an enhanced autonomous valet parking (E-AVP) lot, and an application method thereof, relating to the technical fields of autonomous driving, vehicle-infrastructure cooperation, and intelligent transportation systems. The system comprises a client, an E-AVP cloud, a road side unit, and a 5G-V2X vehicle end; the client communicates with the E-AVP cloud by means of 5G; the E-AVP cloud communicates with the client, the road side unit, and the 5G-V2X vehicle end by means of 5G; the road side unit communicates with the 5G-V2X vehicle end by means of V2X communication; the 5G-V2X vehicle end achieves inter-vehicle interaction by means of a CAN bus. The present application achieves interaction among an E-AVP management system, a user terminal, and a vehicle-mounted terminal, and solves the existing problems that parking and vehicle searching are difficult for users, thereby achieving the objectives of unmanned supervision of remote valet parking and improvement of the parking experience of the users.

IPC Classes  ?

• G08G 1/0968 - Systems involving transmission of navigation instructions to the vehicle
• G08G 1/14 - Traffic control systems for road vehicles indicating individual free spaces in parking areas
• H04W 4/44 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]

Abstract

Provided is an automatic parking decision making method based on the fusion of model predictive control and reinforcement learning, relating to the technical field of autonomous driving. In the process of automatic parking, the process of selecting an optimal action is trained by using a proximal policy optimization algorithm, wherein the proximal policy optimization algorithm comprises an Actor network and a Critic network, a policy function corresponds to the Actor network, a value function corresponds to the Critic network, the output of the Actor network is the probability of taking each possible steering action when a vehicle is in a specific state, and the output of the Critic network is a state value function of the state after the steering action of the Actor network is taken. In the context of narrow and vertical parking spaces, model predictive control is combined with a proximal policy optimization reinforcement learning algorithm, so that the problems that the parking planning time is long and the success rate is low under the condition that the parking spaces are narrow are solved, and the parking space selection range of the system is expanded.

IPC Classes  ?

• G05B 19/042 - Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
• B60W 30/06 - Automatic manoeuvring for parking

Abstract

The present invention relates to an age-of-information optimized scheduling method for a multi-sensor multi-server industrial Internet of Things, and belongs to the technical field of industrial wireless networks. Oriented to a multi-sensor multi-server industrial Internet of Things system, the method minimizes the average age-of-information of the system by means of selecting a link scheduling combination in each time slot, forms the strong coupling optimization problem of link scheduling, server selection and service preemption into a Markov decision process, reduces a state space and an action space for problem solving by means of a deep Q-network having a plurality of improved network branches and shared decision-making modules, and increases the training speed by means of a fixed dominant policy so as to obtain a link scheduling method. By means of the branch deep Q-network and the fixed dominant policy, the present invention increases the learning speed of the scheduling method and ensures the newness of delivered industrial Internet of Things data.

IPC Classes  ?

• H04W 24/02 - Arrangements for optimising operational condition
• H04W 4/30 - Services specially adapted for particular environments, situations or purposes
• G06N 3/047 - Probabilistic or stochastic networks
• G06N 3/08 - Learning methods

Abstract

A distributed task offloading and computing resources management method based on energy harvesting is provided, including: establishing a task local computing model and an edge cloud computing model; establishing a device maximum benefit objective function based on the perturbation Lyapunov optimization algorithm and a mobile edge computing server maximum benefit objective function; pre-selecting, by the device based on a pre-screening criteria, a mobile edge computing server for task offloading; calculating an optimal task size strategy for performing task offloading by the device to the selected mobile edge computing server by using a Lagrange multiplier algorithm and a KKT condition; obtaining an optimal quotation strategy of the mobile edge computing server for the device in each of time slots; and obtaining a solution of the optimal task size strategy meeting a Stackelberg equilibrium and a solution of the optimal dynamic quotation strategy meeting the Stackelberg equilibrium as a resource allocation strategy.

IPC Classes  ?

• H04L 67/1023 - Server selection for load balancing based on a hash applied to IP addresses or costs

Abstract

The present invention belongs to the field of industrial communications, and relates to a Modbus TCP cross-TSN joint scheduling method. The method comprises: S1, constructing a heterogeneous network scheduling model, which comprises establishing a heterogeneous network and a traffic demand model; S2, using a scheduling pre-processing algorithm to complete priority pre-processing in network transmission; and S3, constructing a two-dimensional offline bin-packing problem model, i.e. using a two-dimensional offline bin-packing algorithm to abstract a transmission demand into a two-dimensional item, so as to perform problem conversion, and in view of the priority of network transmission, changing the placement principle and a sequence order during a bin-packing process, so as to optimize and resolve a scheduling problem. By means of the present invention, the operation efficiency of a scheduling algorithm can be improved, the difficulty of scheduling computation can be reduced, and the optimization and resolving of a scheduling problem can be realized.

IPC Classes  ?

• H04L 41/14 - Network analysis or design
• H04L 41/142 - Network analysis or design using statistical or mathematical methods
• H04L 12/46 - Interconnection of networks

Abstract

A task offloading and resource allocation method in an uncertain network environment is provided. A task offloading process is modeled as a two-stage offloading model. The model is optimized to a task offloading and resource allocation problem based on two-stage stochastic programming. Based on a stochastic simulation algorithm, the task offloading and resource allocation problem is transformed to a sample mean approximation problem. The sample mean approximation problem is decoupled to a local computing resource allocation sub-problem, a transmission power and edge computing resource joint allocation sub-problem, and an offloading decision sub-problem. The three sub-problems are solved respectively by using a standard Lagrange multiplier algorithm, by using a genetic algorithm, and by analyzing delay estimation and energy consumption budget of local computing and delay estimation and energy consumption budget of edge computing. The user performs task offloading based on an optimal allocation strategy obtained by solving the three sub-problems.

IPC Classes  ?

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

Abstract

The present invention relates to the technical field of machine vision, and relates to an intelligent recognition method for work content of a barbershop staff. The method comprises the following steps: S1, configuring an installation position and an installation condition of an acquisition device; S2, establishing a label library of barbershop staff faces and customer faces, and training a face recognition model; S3, establishing an action label library related to objects, tools and people, and training a barbershop action behavior recognition model; S4, using the trained face recognition model and the trained barbershop action behavior recognition model to perform action behavior recognition on an actual haircut service scene, and constructing an "action pair" behavior time sequence of elements, i.e., customer, staff and action; S5, establishing a work content recognition label, and constructing a deep neural network model for work content recognition, so as to determine service work content of a barbershop staff to a customer. According to the present invention, the intelligent recognition method for work content of the barbershop staff assists in realizing effective intelligent management of a barbershop.

IPC Classes  ?

• G06V 40/20 - Movements or behaviour, e.g. gesture recognition

Abstract

The present invention relates to the field of image processing, and relates to a transfer learning strategy-based real-time few-shot object detection method, comprising the following steps: S1: constructing a detection network model; S2: preprocessing input data; S3: training an object detection model from scratch by using large-sample class data; S4: fine-tuning a few-shot class detection branch by using few-shot class data; and during the fine-tuning, using a new regularization method to guide the model to pay attention to a global feature of an object; and S5: training the detection model by means of a training set, and carrying out a test by using a test set. The present invention avoids overfitting of a model in a fine-tuning stage, avoids dominance by local salient features, and enhances the generalization capability of the model. The present invention not only can achieve accurate detection on few-shot class objects using fewer model parameters, but also can achieve real-time detection of related objects.

IPC Classes  ?

• G06N 3/096 - Transfer learning
• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects

Abstract

The present invention belongs to the field of network device testing, and relates to a micro service-based test system and method for an industrial wireless network device accessing IPv6. The method comprises: a user logging in to a test management system, creating a test item, filling in a PICS form, and providing a device under test to a tester; the tester making the device under test access a network environment under test; the test management system generating a set of test cases, and performing priority ranking on the test cases in the set of test cases; the test management system executing the test cases one by one, and sending a test instruction to a test agent; the test agent sending, according to an operation instruction, a test flow to an environment for testing an industrial wireless network device accessing IPv6; a network device in the environment for testing the industrial wireless network device accessing IPv6 forwarding the test flow, and responding to the test agent; the test agent uploading a result to the test management system based on a micro-service architecture; and after all test cases are executed, the test management system analyzing the test result to generate a test report.

IPC Classes  ?

• H04L 43/06 - Generation of reports
• H04L 43/08 - Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
• H04L 41/0246 - Exchanging or transporting network management information using the InternetEmbedding network management web servers in network elementsWeb-services-based protocols
• H04L 41/044 - Network management architectures or arrangements comprising hierarchical management structures
• H04L 41/0823 - Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability

Abstract

The present invention relates to a successive approximation-based joint scheduling method for a time sensitive network and an industrial wireless network, and belongs to the field of industrial wireless network scheduling. The method comprises the following steps: in an offline stage: S1, performing customization processing on a superframe structure in an industrial wireless network, determining a superframe duration and a slot length, and calculating the number of slots; S2, acquiring data packet information sent by a node, wherein the data packet information remains consecutive temporally; S3, constructing a training set and a test set for a slot requirement forecasting model; and S4, training the slot requirement prediction model; and in an online stage: S5, configuring a heterogeneous network, which involves configuring configuration information, which is determined in the off-line stage, for a cooperative scheduling subsystem, an industrial wireless gateway, a wireless routing device and an industrial wireless node; S6, performing slot prediction and allocation, and broadcasting beacons; and S7, performing data transmission according to an allocated path. The present invention ensures the flexibility and determinacy of a heterogeneous network.

IPC Classes  ?

• H04L 12/46 - Interconnection of networks

Abstract

A multi-sensor fusion method and system for an intelligent driving vehicle, relating to the technical field of intelligent driving vehicles. The method comprises: constructing an extended target tracker according to a GM-PHD algorithm and a rectangular target model of a detection object; processing detection information of a millimeter wave radar by means of the extended target tracker to obtain millimeter wave radar track information of the detection object; processing detection information of a lidar by means of a constructed bounding box detector and a JPDA tracker provided with an IMM-UKF to obtain lidar track information of the detection object; processing the millimeter wave radar track information and the lidar track information by means of time-space conversion to obtain a central fusion node; and processing the central fusion node by means of an IMF algorithm to obtain global track information.

IPC Classes  ?

• G01S 13/931 - Radar or analogous systems, specially adapted for specific applications for anti-collision purposes of land vehicles
• G01S 13/86 - Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
• G01S 17/931 - Lidar systems, specially adapted for specific applications for anti-collision purposes of land vehicles
• G06V 20/54 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
• G06T 7/20 - Analysis of motion

Abstract

The present invention relates to the technical field of wireless sensor networks and relates to a wireless sensor network time synchronization method based on partial timestamp information. According to the method, partial timestamp information and response time interval information are transmitted at a local time when a preset clock source node returns an acknowledgement frame, thereby avoiding timestamp interaction; and for a Gaussian random delay and an exponential random delay, a maximum likelihood estimation method and a best linear unbiased estimation method are respectively used to simultaneously estimate a frequency offset and a phase offset of a clock, thereby implementing the synchronization between nodes. According to the present invention, the transmission of synchronization information does not depend on a specific synchronization frame, and a synchronization function can be embedded into existing network data streams, thereby effectively reducing energy consumption for synchronization.

IPC Classes  ?

• H04W 56/00 - Synchronisation arrangements

Abstract

A human body fall risk prediction method and system based on electronic nursing text data, relating to the technical field of data processing. The method comprises: obtaining an electronic nursing data set, preprocessing data in the electronic nursing data set, and constructing a Morse fall dictionary according to the preprocessed data in the electronic nursing data set; using a natural language processing technology to perform text feature extraction on the electronic nursing text data of a user to be predicted; parsing extracted text features by using the Morse fall dictionary, so as to obtain a variable data set; training a decision tree algorithm by using the variable data set, so as to obtain a human body fall risk prediction result; and performing clustering and accurate nursing on the user according to the prediction result. The Morse fall dictionary is constructed by means of an electronic health record, a risk factor of the user is obtained according to the Morse fall dictionary, and fall risk prediction is performed on the user according to the risk factor, and thus, the prediction efficiency is improved.

IPC Classes  ?

• G16H 50/70 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
• G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
• G06F 40/242 - Dictionaries

Abstract

322), oleic acid (OA), oleylamine (OAm), a sodium ion precursor and a copper ion precursor in octadecene (ODE). Copper ions (Cu2+) and sodium ions (Na+33) perovskite fluorescent quantum dots. The finally prepared product is effectively improved in terms of photoluminescence quantum yield, thermal stability and the like, can be used as an active layer to package an electroluminescent diode, and realizes transition from green light to blue light by means of electroluminescence based on recombination of doping ions and excitons.

IPC Classes  ?

• C09K 11/66 - Luminescent, e.g. electroluminescent, chemiluminescent, materials containing inorganic luminescent materials containing germanium, tin or lead
• B82Y 20/00 - Nanooptics, e.g. quantum optics or photonic crystals
• B82Y 30/00 - Nanotechnology for materials or surface science, e.g. nanocomposites
• B82Y 40/00 - Manufacture or treatment of nanostructures
• H01L 33/50 - Wavelength conversion elements

Abstract

The present application relates to the technical field of mobile communications, and specifically relates to an evolutionary game-based multi-user switching method in a software-defined satellite network system. The multi-user switching method comprises: respectively calculating the elevation angle and the remaining coverage time of a satellite according to obtained information, and calculating the payoff according to three basic factors, i.e., the capacity, the elevation angle, and the remaining coverage time of the satellite; a controller calculating the average payoff of users in the area, and broadcasting same to the users; when it is determined that the payoff of all the users is greater than the average payoff, ending multi-user switching; and when it is determined that the payoff of all the users is not greater than the average payoff, the users selecting other switching satellites having higher payoffs.

IPC Classes  ?

• H04W 36/08 - Reselecting an access point
• H04W 84/06 - Airborne or Satellite Networks

Abstract

The present invention relates to the field of dining food image data processing, and in particular to a nutritional management method and system using a deep learning-based food image recognition model. The method comprises: a user-side obtaining an image of food to be ingested by a user, and inputting the obtained food image into a trained deep learning-based food image recognition model to obtain different types of food sub-images; calculating the amounts of nutrients contained in the different types of food sub-images, and accumulating the nutrients in all food to obtain total intakes of various nutrients of the user; setting intake thresholds for various nutrients, and comparing the calculated total intakes of various nutrients with the corresponding nutrient intake thresholds to obtain comparison results; and adjusting, according to the comparison results, the type and amount of the food to be ingested, so as to complete nutritional management. According to the present invention, food intake information uploaded by the user is associated with other data sets by means of a server, so that whether energy, the ratio of energy-yielding nutrients, etc. are at appropriate recommended amounts is known, and finally, the data obtained by analysis is fed back to the user, thereby prompting the user to improve a dietary pattern.

IPC Classes  ?

• G06V 20/20 - ScenesScene-specific elements in augmented reality scenes
• G06V 10/26 - Segmentation of patterns in the image fieldCutting or merging of image elements to establish the pattern region, e.g. clustering-based techniquesDetection of occlusion
• G06V 10/20 - Image preprocessing
• G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
• G06K 9/62 - Methods or arrangements for recognition using electronic means
• G16H 20/60 - ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets

Abstract

A blockchain-based method for multi-tenant distributed leasing of satellite network resources, which belongs to the field of mobile communications. The method comprises: S1, constructing a multi-tenant commercial ecosystem for satellite network resource leasing; and S2, constructing a blockchain-based satellite network resource leasing mechanism, which specifically comprises: S21, constructing a double-leasing mechanism for satellite network resources; S22, constructing a blockchain-based resource leasing mechanism; and S23, acquiring a reputation value of a participant, involving: firstly calculating a reputation score of the participant, then combining same with a transaction cost to ensure the honesty of the participant, and finally using a sliding window to ensure that a selected leader is an honest participant that makes a continuous contribution. In the method, reputation is combined with a blockchain-based leasing mechanism, thereby preventing an intermediate entity from manipulating a transaction result, improving the transaction throughput of a system and reducing the transaction delay.

IPC Classes  ?

• G06Q 30/06 - Buying, selling or leasing transactions
• G06Q 30/08 - Auctions
• G06Q 20/42 - Confirmation, e.g. check or permission by the legal debtor of payment
• G06Q 20/38 - Payment protocolsDetails thereof

Abstract

The present invention relates to a joint optimization method for path selection and gate scheduling in time-sensitive networking, and belongs to the technical field of time-sensitive networking. The method comprises the following steps: S1, a CNC finding a TSN topology, and abstracting same into a network directed graph; S2, a terminal device sending to a CUC a TSN connection request, and the CUC sending same to the CNC; S3, the CNC selecting K shortest paths as alternative paths; S4, the CNC selecting m preferred paths; S5, the CNC finding an optimal transmission path for a TT stream, and finding a proper transmission path for a non-TT stream; S6, CNC completing traversal; S7, configuring a gate control list for the optimal transmission path of the TT stream of each pair of terminal devices; and S8, the CNC encapsulating a computation result into a gate scheduling table, configuring the gate scheduling table to a TSN switch, and then sending a traffic transmission computation result to the TSN terminal device by means of the CUC.

IPC Classes  ?

• H04L 45/30 - Routing of multiclass traffic

Abstract

A low-complexity selective mapping method using cyclic redundancy check is provided. In performing coding, a transmitter adds a check bit to information bits to be transmitted to obtain modulated data. Demodulation is performed on an M-order modulation symbol received by a receiver to obtain a decoding result of a coding polynomial of the modulation symbol and bit information received by the receiver. A modulo-2 division result of the decoding result of the coding polynomial and a generation polynomial is calculated. In a case that a remainder of the modulo-2 division result is equal to zero, if the modulated data corresponding to the same index value of the receiver and the transmitter are identical, a current iteration is stopped, and a current value is outputted as a phase rotation sequence index recovery value. Finally, the receiver obtains a decoded signal.

IPC Classes  ?

• H03M 13/09 - Error detection only, e.g. using cyclic redundancy check [CRC] codes or single parity bit
• H03M 13/15 - Cyclic codes, i.e. cyclic shifts of codewords produce other codewords, e.g. codes defined by a generator polynomial, Bose-Chaudhuri-Hocquenghem [BCH] codes

Abstract

A distributed computation offloading method based on computation-network collaboration in a stochastic network is provided. The distributed computation offloading method includes: building a device revenue maximization problem model and a MEC server revenue maximization problem model based on a local computing model and an edge cloud computing model; building composite sets of scenarios for dwell time and waiting latency based on a random movement of a user and burst computation demands; compensating for a game strategy by using a posteriori recourse action and building a game-based stochastic programming model between the device and the MEC server; transforming a multi-stage stochastic regularization problem for both the device and the MEC server into a DEP problem by constructing a scenario tree, and solving the DEP problem to obtain an optimal task strategy for the offloading from the MEC server and an optimal offering strategy of the MEC server to the device.

IPC Classes  ?

• H04L 67/1023 - Server selection for load balancing based on a hash applied to IP addresses or costs
• G06F 9/48 - Program initiatingProgram switching, e.g. by interrupt

Abstract

The present invention relates to the technical field of charging load prediction, and in particular to a charging load probability prediction system and method based on non-intrusive detection, which are used for solving the problems of charging load prediction and planning. The charging load probability prediction system based on non-intrusive detection comprises an image acquisition unit, a temperature detection unit, a positioning unit, an Internet of Vehicles service system, and a cloud storage computing platform. Vehicle pictures and real-time temperature data acquired by traffic cameras can be received in real time on the cloud storage computing platform, and the data obtained from vehicle picture recognition are classified according to the temperature data range and input into a corresponding charging load prediction model to obtain the probability of when and where the target is to be charged and the charging load. Over time, the probability of when and where to charge and the charging load can be used in the planning and construction of charging facilities of certain regions. The electric vehicle charging demand in a prediction area can be predicted, and the layout planning of a charging facility is reasonably selected.

IPC Classes  ?

• G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling

Abstract

A time series data adversarial sample generating method and system, an electronic device, and a storage medium, relating to the field of time series data processing. The method comprises: training a time series prediction model using original time series data (101); calculating a maximum value of a loss function in the time series prediction model by means of a stochastic gradient descent optimization strategy (102); determining corresponding noise according to the maximum value of the loss function (103); and superimposing the noise on the original time series data to generate a globally disturbed time series data adversarial sample (104). The method can significantly reduce the model accuracy under the condition of a small amount of data disturbance, has important significance for safe application of an industrial system, and has wide applicability and transferability.

IPC Classes  ?

• G06N 3/094 - Adversarial learning

Abstract

The present invention relates to the field of digital signal processing, and in particular to a Costas sequence time-frequency joint synchronization method based on all-phase spectrum correction. The method improves the defects existing in a discrete frequency spectrum correction algorithm using short-time Fourier transform and sliding correlation. The improvement mainly comprises: the present disclosure provides a solution based on iterative optimization: when an actual frequency offset is an integral multiple of the spectral resolution, a large error can occur, frequency offset correction and time delay correction are carried out on a signal by using an estimated value having a large estimated error, then estimation is carried out again, and the frequency offset of the signal is not a special value by means of an iteration mode.

IPC Classes  ?

• H04L 27/00 - Modulated-carrier systems
• H04L 7/00 - Arrangements for synchronising receiver with transmitter
• H04L 27/10 - Frequency-modulated carrier systems, i.e. using frequency-shift keying

Abstract

The present invention relates to a small sample remote sensing image scene classification method based on an embedding smoothing graph neural network, which method belongs to the field of remote sensing image recognition. The method comprises: first inputting scene images into an embedding learning module, and extracting scene embedding features by means of a convolutional neural network; then introducing embedding smoothing into scene classification, and capturing the similarity and difference between the embedding features under an unsupervised condition, thereby improving the distinguishability between the embedding features, expanding a decision-making boundary, and reducing the effect of irrelevant features; in addition, constructing a graph matrix by means of an attention mechanism and by using a task-level relationship, associating a target sample with all samples in a task, and generating relationship representations having a high distinguishability between different scene categories; then, constructing graphs according to intrinsic relationships between the samples; and a label matching module iteratively generating prediction labels of samples in a test set according to the constructed graphs by means of transductive learning, until an optimal solution is obtained. By means of the present invention, accurate image classification can be realized.

IPC Classes  ?

• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
• G06V 10/774 - 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 20/13 - Satellite images
• G06K 9/62 - Methods or arrangements for recognition using electronic means
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06N 3/08 - Learning methods

Abstract

An embedded GPU-based wideband parallel channelized receiving method includes: constructing an OpenCL platform; decimating a wideband signal read in the OpenCL platform at an interval indicated by the number of channels; assigning data in each row to one of multiple work groups for processing; filtering data on each of channels based on a coefficient of a polyphase filter on a branch; multiplying the filtered data by a factor; and performing an FFT on the formed two-dimensional matrix by columns to obtain data outputted from each of the channels.

IPC Classes  ?

• H04B 1/06 - Receivers
• G06F 8/76 - Adapting program code to run in a different environmentPorting
• G06F 17/16 - Matrix or vector computation
• H03H 17/02 - Frequency-selective networks

Abstract

The present invention relates to machine learning, and in particular to a data feature combination pricing method and system based on a Shapley value and an electronic device. The method comprises: collecting feature variables of a feature data set provided by a seller, and preprocessing the feature variables; constructing a learning model based on machine learning, and selecting an optimal feature classification variable from feature classification variables; estimating feature Shapley values constructed on the basis of ghost data instances so as to calculate marginal contribution and an average Shapley value of selected feature variables; and according to the marginal contribution and the average Shapley value of the feature variables, determining whether the feature variables can be subjected to transaction, and if yes, performing the transaction. In the embodiments of the present invention, long-term benefit maximization of a data provider can be realized, risk assessment of the data seller on the data buyer company is met, and the risk loss is reduced.

IPC Classes  ?

• G06Q 30/02 - MarketingPrice estimation or determinationFundraising
• G06N 20/00 - Machine learning
• G06Q 30/08 - Auctions
• G06Q 40/02 - Banking, e.g. interest calculation or account maintenance
• G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange

Abstract

The present invention belongs to the field of industrial Internet, and relates to an industrial wireless network-and-TSN fusion-oriented cross-network time synchronization method. The method comprises the following steps: S1, a TSN module of a border gateway performing, in a slave clock state, clock synchronization with a TSN switch of a TSN network 2; S2, taking, inside the border gateway, the TSN module as a master clock of an industrial wireless module, wherein the industrial wireless module performs clock synchronization with the TSN module by means of a serial port; S3, a routing device in an industrial wireless network performing, in a slave state, clock synchronization with the industrial wireless module of the border gateway by means of beacon frame synchronization, and further taking the routing device as a master clock of a node device, so as to perform clock synchronization on the node device; and S4, a terminal-side conversion node performing, in a slave clock state, clock synchronization with a node device of the industrial wireless network by means of timestamp-free synchronization, and finally, a TSN switch of a TSN network 1 performing, in a slave clock state, synchronization with the terminal-side conversion node.

IPC Classes  ?

• H04J 3/06 - Synchronising arrangements
• H04W 56/00 - Synchronisation arrangements

Abstract

The present application relates to a computing and network collaboration-based distributed computation offloading method in a random network. The distributed computation offloading method comprises: on the basis of a local computing model and an edge cloud computing model, constructing a device revenue maximization problem model and an MEC server maximized revenue problem model; according to random movement and burst computing requirements of a user, respectively establishing composite scene sets of dwell time and waiting delay; using a posterior resource action to compensate game strategies, and establishing a game-based stochastic programming model for both the device and the MEC server; and constructing a scene tree, converting a multi-stage stochastic programming problem of both the device and the MEC server into a DEP problem, and solving the problem to obtain an optimal task policy of MEC server offloading and an optimal quotation policy of the MEC server to the device. The present application realizes dynamic offloading and adaptive computing capability management of tasks in a time-varying environment on the basis of an extensive game theory method of a Lyapunov optimization theory.

IPC Classes  ?

• H04W 28/16 - Central resource managementNegotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]

Abstract

The present invention relates to a layered semi-parallel LDPC decoder system having a single permutation network, and belongs to the field of decoder hardware design. The system comprises a layered decoding architecture of the single permutation network, a layered semi-parallel decoding architecture of the single permutation network, a pipeline design for layered semi-parallel decoding and a hardware framework of a layered semi-parallel LDPC decoder. The present invention removes a permutation network module between a check node and a variable node by modifying the cyclic shift value of each information block transferred from the variable node to the check node, i.e., the cyclic shift operation of the decoder can be completed through the single permutation network so as to reduce hardware resources of the decoder. A semi-parallel decoding structure is adopted, and meanwhile, a pipeline is added between half layers. Compared with a decoder with a layered full-parallel structure, a decoder with a semi-parallel structure has the degree of parallelism of a variable node equal to only half of the code length but can achieve ¾ of the throughput as well as reduce hardware resources by half.

IPC Classes  ?

• H03M 13/11 - Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words using block codes, i.e. a predetermined number of check bits joined to a predetermined number of information bits using multiple parity bits

Abstract

The present invention relates to a low-energy routing method based on inter-satellite communication, which method belongs to the technical field of communications. The method comprises: improved calculation of three-dimensional Fermat points; calculation of Fermat points in three target areas; selection of satellite nodes of the Fermat points; and a low-energy Fermat point three-dimensional routing algorithm LEFTR. According to the present invention, a method for calculating three-dimensional Fermat points is improved, so as to be more suitable for inter-satellite communication; and a method for directly calculating Fermat points in three target areas in a three-dimensional environment is provided. A Fermat point node search algorithm is provided for finding a node, which plays the role of transit transmission. The present algorithm is used for making the energy consumption of network transmission more balanced when the node, which plays the role of transit transmission, needs to be found after the Fermat points have been calculated. An efficient geocasting algorithm LEFTR suitable for satellite communication is provided. By extending the algorithm to multiple target areas, a Fermat point tree is constructed by using the characteristics of the Fermat points, such that low-energy data transmission in the multiple target areas is realized.

IPC Classes  ?

• H04B 7/185 - Space-based or airborne stations
• H04W 40/02 - Communication route or path selection, e.g. power-based or shortest path routing

Abstract

The present invention relates to a clock frequency offset tracking method based on weighted observation fusion and timestamp-free interaction, which method belongs to the technical field of wireless sensor networks. The method comprises: a hidden node S which is located in an overlapping communication range of a reference node and a plurality of active nodes executing monitoring synchronization; and after a plurality of pairs of timestamp-free communication messages are successfully monitored, performing, by using a plurality of groups of extended Kalman filtering algorithms, multi-observation weighted fusion on a plurality of obtained tracking results according to a scalar weighted linear minimum variance information fusion criterion, so as to realize timestamp-free relative frequency offset fusion tracking of the hidden node. By means of the present invention, a relative clock frequency offset can be dynamically tracked on the basis that there is no message to be sent, and the influence of a synchronization node with a relatively large tracking error on a monitoring node can also be reduced, thereby increasing the robustness of frequency offset tracking of a monitoring node.

IPC Classes  ?

• H04J 3/06 - Synchronising arrangements
• H04L 27/00 - Modulated-carrier systems
• H04W 84/18 - Self-organising networks, e.g. ad hoc networks or sensor networks
• H03H 17/02 - Frequency-selective networks

Abstract

A software defined optical network controller deployment method based on multi-path survivability protection, which method belongs to the technical field of networks, and is applied to the deployment of a two-layer SDN controller. On the premise of ensuring a survivability requirement of a user for a control plane, the number of controllers is further reduced according to the situation of the multi-controller multi-path cooperative management and control of switch nodes, so as to control the cost. A controller deployment solution in which a switch and a controller have a unique link is obtained at first, the solution contains redundant controllers, and thus the number of controllers needs to be further reduced. Whether a fault probability of each switch is lower than a fault probability required by the user is verified by using a posteriori thought, that is, according to a deployment result. The number of controllers is gradually reduced, and the survival probability of the switch is ensured all the time, until the number of deployed controllers is minimized. Finally, the controller having the smallest communication delay is selected as a management and control center, so as to complete the deployment work of the entire control plane.

IPC Classes  ?

• H04Q 11/00 - Selecting arrangements for multiplex systems

Abstract

The present invention relates to a timestamp-free synchronizing clock parameter tracking method based on the extended Kalman filter (EKF), and belongs to the technical field of wireless sensor networks. Th method comprises: by using a first-order Gauss-Markov model and a clock model as state equations, describing the evolution process of clock skew and clock instantaneous offset; and then establishing an observation equation formed by a timestamp-free synchronizing and clock instantaneous offset observation model, and jointly tracking the clock skew and clock instantaneous offset by using a tracking method based on the EKF, so as to achieve the synchronization between a node to be synchronized and a reference clock node. In the method, simultaneous tracking of two time-varying parameters may be completed by following a network data flow, a dedicated synchronization frame is not needed to exchange synchronization information, thus reducing energy consumption, and improving synchronization precision.

IPC Classes  ?

• H04J 3/06 - Synchronising arrangements
• H04W 56/00 - Synchronisation arrangements
• G06K 9/62 - Methods or arrangements for recognition using electronic means
• G06F 17/11 - Complex mathematical operations for solving equations
• G06F 17/16 - Matrix or vector computation

Abstract

The present application relates to the technical field of wireless communications, and in particular to a task offloading and resource allocation method in an uncertain network environment. The method comprises: modeling a task offloading process into a two-stage offloading model, optimizing the model into a task offloading and resource allocation issue based on two-stage stochastic programming, converting the task offloading and resource allocation issue into a sample average approximation issue by using a stochastic simulation method, and decoupling the sample average approximation issue into a local computing resource allocation sub-issue, a transmission power and edge computing resource joint allocation sub-issue, and an offloading decision sub-issue; solving for the three sub-issues by using a standard Lagrange multiplier method, a genetic algorithm, and analysis of delay estimation and energy consumption budgeting for local computing and edge computing; and a user performing task offloading according to optimal allocation strategies obtained by solving for the three sub-issues. The present application can meet the task computing delay requirement in a network having an uncertain delay, and simultaneously can ensure minimum system energy consumption.

IPC Classes  ?

• H04W 24/02 - Arrangements for optimising operational condition

Abstract

An anole-imitating wind-vibration-resistant climbing robot, which is composed of a body functional module, foot functional modules (5), leg functional modules (4), a control and drive functional module (1-1) and a power supply device (1-2), wherein the body functional module comprises a head (1), a spine (2-3), which completes a cross-legged gait advancing function by means of bending, a flexible abdominal thin film (2-9) prepared from magnetically sensitive rubber, a tail (3), which converts wind energy into advancing power by means of bending deformation, and a rib frame (2-2); each foot functional module (5) is composed of toes (5-4), which each comprise a claw (5-4-2) and a plurality of phalanges (5-4-1), and a toe connector (5-3); and each leg functional module (4) comprises a pneumatic functional portion and a motion functional portion. According to the robot, with reference to structural change characteristics of an anole in strong wind, a flexible abdomen and a tail, which can adjust a pneumatic performance, are designed, and adhesive feet capable of improving the adhesion capability are also designed, such that the robot can solve the problem of stable climbing in a strong wind environment, and the robot can adapt to a wall face having a certain curvature, and can adapt to wider and more complex settings.

IPC Classes  ?

• B62D 57/032 - Vehicles characterised by having other propulsion or other ground-engaging means than wheels or endless track, alone or in addition to wheels or endless track with ground-engaging propulsion means, e.g. walking members with alternately or sequentially lifted supporting base and legVehicles characterised by having other propulsion or other ground-engaging means than wheels or endless track, alone or in addition to wheels or endless track with ground-engaging propulsion means, e.g. walking members with alternately or sequentially lifted feet or skid
• B62D 57/024 - Vehicles characterised by having other propulsion or other ground-engaging means than wheels or endless track, alone or in addition to wheels or endless track with ground-engaging propulsion means, e.g. walking members specially adapted for moving on inclined or vertical surfaces

Abstract

A sequential least squares-based consistent clock synchronization frequency deviation estimation method, relating to the technical field of wireless sensor networks. According to the method, for a random bounded communication delay scene in compliance with an arbitrary distribution, a relational model for clock information and delays between nodes is established; by fully considering all clock information received by the nodes from respective neighbors, a clock parameter estimation model and a principle of least squares-based cost function are constructed; a relative clock frequency deviation between the nodes is iteratively estimated by using a sequential least squares method; and logic clock parameters of the nodes are updated by using a consistent clock synchronization method, such that all the nodes in a network achieve global clock consistency in a fully distributed manner. The method improves the accuracy of relative frequency deviation estimation, effectively reduces storage overhead of nodes, and improves the robustness of a consistent synchronization algorithm for communication delays.

IPC Classes  ?

• H04W 56/00 - Synchronisation arrangements

Abstract

The present invention relates to the technical field of industrial Internet, and relates to an industrial heterogeneous network high-speed protocol conversion apparatus and a parallel processing unit. The apparatus comprises a queue transceiving unit, a protocol conversion unit, a parallel processing unit, and an SDN management interface unit; industrial wireless network data is transceived by means of a wireless module, and industrial wired network data and IPv6 backbone network data are transceived by means of a network card; the queue transceiving unit is configured for classification management of a data packet; the protocol conversion unit is configured to complete protocol conversion between an industrial wireless network and an industrial wired network and an IPv6 backbone network; the parallel processing unit is configured for parallel processing of multi-protocol conversion; the SDN management interface unit implements management and control of the protocol conversion apparatus by an upper-layer SDN controller. The present invention supports protocol conversion between an industrial wireless network and an industrial wired network and an IPv6 backbone network, uses technologies such as parallel processing and cache optimization, guarantees parallel and high-speed processing of multi-protocol conversion, and achieves efficient interconnection of industrial heterogeneous networks.

IPC Classes  ?

• H04L 12/28 - Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]

Abstract

The present invention relates to a frequency offset estimation method for average consensus-based clock synchronization, and belongs to the technical field of wireless sensor networks. According to the method, in combination with distributed one-way broadcast characteristics, solving of maximum likelihood estimation is converted into a linear optimization problem, and a relative frequency offset estimation value is obtained by adopting an iterative method. By applying the estimation value to the compensation of logic clock parameter between nodes, an effect of keeping logic clocks of network nodes consistent can be achieved. According to the present invention, distribution characteristics of communication time delay are fully considered, accurate relative frequency offset estimation can be implemented, so the synchronization precision of average consensus-based clock synchronization is effectively improved, the maximum likelihood estimation solving is performed by adopting the iterative method, an estimation algorithm is simplified, and storage overhead is reduced.

IPC Classes  ?

• H04W 56/00 - Synchronisation arrangements
• H04J 3/06 - Synchronising arrangements
• H04L 25/02 - Baseband systems Details
• H04L 27/00 - Modulated-carrier systems

Abstract

A scheduling method applied in an industrial heterogeneous network in which a TSN and a non-TSN are interconnected is provided. The TSSDN controller classifies data flows according to the delay requirements, and calculates the scheduling priorities of the data flows in the industrial heterogeneous network. The TSSDN controller adopts an improved CSPF algorithm to determine a shortest path in the heterogeneous network, and marks the scheduling priorities of the data flows which are transmitted from the subnet of the heterogeneous network and arrive at the switch for the first time. Flow table matching is performed at the SDN switch. In a case of performing flow table matching successfully, the counter is updated and the instruction included in the flow table is executed. In a case of performing flow table matching unsuccessfully, a PacketIn message is transmitted to the TSSDN controller, and the TSSDN controller performs analysis and makes a decision.

IPC Classes  ?

• H04L 47/52 - Queue scheduling by attributing bandwidth to queues
• H04L 41/0896 - Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities
• H04L 45/00 - Routing or path finding of packets in data switching networks
• H04L 47/24 - Traffic characterised by specific attributes, e.g. priority or QoS
• H04L 47/56 - Queue scheduling implementing delay-aware scheduling

Abstract

The present invention relates to a judgment method for edge node computing result trustworthiness based on trust evaluation, and belongs to the technical field of data processing. By means of the present invention, a security mechanism for trustworthiness of a computing result output by an industrial edge node is guaranteed, the industrial edge node is prevented from outputting error data, and attacks of false data of malicious edge nodes are resisted, it is guaranteed that trustworthy computing results not be tampered are input in the industrial cloud, and a site device is made to receive correct computing results rather than malicious or meaningless messages, thereby improving efficiency and security of industrial production.

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 9/40 - Network security protocols

Abstract

A time series data adversarial sample generating method and system, an electronic device, and a storage medium, relating to the field of time series data processing. The method comprises: training a time series prediction model using original time series data (101); calculating a maximum value of a loss function in the time series prediction model by means of a stochastic gradient descent optimization strategy (102); determining corresponding noise according to the maximum value of the loss function (103); and superimposing the noise on the original time series data to generate a globally disturbed time series data adversarial sample (104). The method can significantly reduce the model accuracy under the condition of a small amount of data disturbance, has important significance for safe application of an industrial system, and has wide applicability and transferability.

IPC Classes  ?

• G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"

Abstract

The present invention relates to the field of machine learning and deep learning, and relates to a user portrait construction method based on microblog heterogeneous information. The method comprises: 1) collecting suitable text data and image data, and respectively training an image classification network and a text classification network; 2) crawling text information and image information of microblogs by using a crawler technology, and obtaining tags, i.e., a user-top matrix, by using the constructed classification networks, and taking the user-topic matrix as a user portrait; 3) performing fuzzy clustering on user-topic to discover a community of a user; 4) performing, using TF-IDF, keyword discovery on the microblogs classified by the user to obtain a topic-item matrix, and calculating an associated word using a knowledge graph concept; and 5) performing user similarity calculation on the community to which the user belongs, selecting a user having a high similarity and repeating the method of step 4), and selecting a keyword as a content supplementation recommendation according to a word frequency threshold. The present invention can recommend a user having high similarity to a user.

IPC Classes  ?

• G06F 16/9535 - Search customisation based on user profiles and personalisation
• G06F 40/247 - ThesaurusesSynonyms

Abstract

The present application relates to the technical field of mobile communications, and in particular, to a distributed task offloading and computing resource management method based on energy harvesting, comprising: establishing a task local computing model and an edge cloud computing model; establishing an objective function of a device for maximizing the revenue of the device on the basis of perturbed Lyapunov optimization and an objective function for maximizing the revenue of a mobile edge computing server; the device pre-selecting, according to a pre-screening criterion, a mobile edge computing service server to offload tasks; using a Lagrange multiplier method and a KKT condition to calculate an optimal task quantity strategy for offloading from the device to the selected mobile edge computing server; obtaining an optimal quotation strategy of the mobile edge computing server to the device in each time slot; and obtaining a solution of the optimal task quantity strategy and the optimal dynamic quotation strategy meeting the Stackelberg equilibrium as a resource allocation strategy. The present application realizes stable management of the battery energy level and on-demand allocation of the computing resources for heterogeneous users.

IPC Classes  ?

• H04W 72/04 - Wireless resource allocation

Abstract

The present disclosure relates to systems and methods for a handover. The methods may include establishing a connection between a vehicle terminal and a first macro evolved Node B (MeNB) and a connection between the vehicle terminal and a secondary evolved Node B (SeNB), the vehicle terminal in a dual connectivity mode with the first MeNB and the SeNB; receiving, by the vehicle terminal, a handover command from the first MeNB; and disconnecting, based on the handover command, the vehicle terminal from the first MeNB and establishing synchronization between the vehicle terminal and a second MeNB, wherein the connection between the vehicle terminal and the SeNB is maintained. The SeNB is a secondary vehicle terminal meeting a preset condition or an SeNB installed at a fixed location.

IPC Classes  ?

• H04W 4/00 - Services specially adapted for wireless communication networksFacilities therefor
• H04W 36/00 - Handoff or reselecting arrangements
• H04W 76/34 - Selective release of ongoing connections
• H04W 4/44 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
• H04W 76/15 - Setup of multiple wireless link connections
• H04W 36/08 - Reselecting an access point
• H04W 36/24 - Reselection being triggered by specific parameters
• H04W 36/30 - Reselection being triggered by specific parameters by measured or perceived connection quality data
• H04W 36/32 - Reselection being triggered by specific parameters by location or mobility data, e.g. speed data
• H04W 36/38 - Reselection control by fixed network equipment
• H04W 56/00 - Synchronisation arrangements

Abstract

The present application belongs to the technical field of satellite communications, and in particular relates to a routing method based on fuzzy logic in a low earth orbit satellite network. The method comprises: on the basis of a control policy of a virtual topology, shielding the dynamics of a satellite network topology, initializing a satellite set, and marking the superiority of an inter-satellite link of two satellites, which are not directly connected to each other, to be infinitely small; according to degrees of membership of transmission time delay, propagation time delay and queuing time delay, calculating the superiority of a link formed from a source node to a target node; searching for the superiority of paths between all the nodes in a satellite set Y and the source node, selecting a node k with the highest link superiority at present, putting the node into a set X, and deleting the node from Y; and monitoring, in real time, states of neighbor nodes around the node k in the satellite set, updating the superiority of links from the source node to all the nodes in the satellite set Y, and performing rerouting according to the superiority of a path between a source node s and the node k. By means of the present application, self-adaptive adjustment can be performed on blockage and failures.

IPC Classes  ?

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

Abstract

The present invention relates to the field of signal processing, and to a sparse LMS method combining zero attraction penalty and attraction compensation. In the method, zero attraction penalty and attraction compensation are combined, coefficients of an estimation filter are divided into a near-zero coefficient, a small coefficient and a large coefficient, and then different attraction methods are used. In each iteration update, for the near-zero coefficient of the estimation filter, only a product term in an iterative update formula is used to calculate; for the large coefficient of the estimation filter, a trace amount of attraction compensation is performed thereon to accelerate the convergence speed of the estimation filter coefficient approaching a large coefficient of a channel; and for the small coefficient of the estimation filter, if the coefficient approaches a zero coefficient value or a large coefficient value of the channel during iteration, processing is performed according to the methods for the near zero coefficient and the large coefficient of the estimation filter, respectively, or otherwise, simple zero attraction penalty is performed on the small coefficient. The method is high in convergence speed, low in complexity and wide in the scope of application of a tuning parameter.

IPC Classes  ?

• H04L 25/02 - Baseband systems Details
• H04M 9/08 - Two-way loud-speaking telephone systems with means for conditioning the signal, e.g. for suppressing echoes for one or both directions of traffic

Abstract

Provided is a path parameter extraction method for a millimeter wave 3D MIMO channel, which belongs to the field of communication channel parameter extraction. The method comprises the following steps: S1. obtaining wireless channel measurement data, and integrating the measurement data into a channel matrix; S2. increasing the vertical dimension of a guide vector in the channel matrix in S1, and dividing path parameters to be estimated into three parameter subsets: propagation delay, horizontal and vertical angles at a transmitting end, and horizontal and vertical angles at a receiving end; S3. performing iterative operation on each path channel parameter by using a joint search policy of time delay and three-dimensional space angle, and updating channel parameters in a current parameter subset to be estimated; and S4. on the basis of the extraction result in S3, performing multi-path cluster characteristic analysis, and obtaining intra-cluster delay extension and angle extension features. The described method is suitable for extracting parameters of a millimeter wave 3D MIMO wireless channel, and can ensure the accuracy and resolution in the extraction of the parameters of a sparse multi-path channel.

IPC Classes  ?

• H04B 17/309 - Measuring or estimating channel quality parameters

Abstract

A method for image processing, which comprises the following steps: Generating a first histogram from a first image; Calculating a first parameter profile from the first image indicative of the quality of the first image; Adjusting the first parameter profile to generate a second parameter profile; Using the second parameter profile to generate a statistical distribution via a statistical distribution generator, wherein the statistical distribution is characterized by at least three parameters; Using the statistical distribution to perform a histogram specification to the first histogram of the first image to generate a second histogram; Generating a second image based on the first image and the second histogram.

IPC Classes  ?

• G06T 5/40 - Image enhancement or restoration using histogram techniques
• G06T 5/00 - Image enhancement or restoration
• G06T 5/10 - Image enhancement or restoration using non-spatial domain filtering
• G06T 5/50 - Image enhancement or restoration using two or more images, e.g. averaging or subtraction
• H04N 1/60 - Colour correction or control

Abstract

The present invention relates to the field of digital signal processing, and in particular to a Costas sequence time-frequency joint synchronization method based on all-phase spectrum correction. The method improves the defects existing in a discrete frequency spectrum correction algorithm using short-time Fourier transform and sliding correlation. The improvement mainly comprises: the present invention provides a solution based on iterative optimization: when an actual frequency offset is an integral multiple of the spectral resolution, a large error can occur, frequency offset correction and time delay correction are carried out on a signal by using an estimated value having a large estimated error, then estimation is carried out again, and the frequency offset of the signal is not a special value by means of an iteration mode. In order to solve the second problem, due to errors caused by spectrum leakage, all-phase Fourier transform is used for replacing FFT in short-time Fourier transform to reduce the spectrum leakage phenomenon as much as possible. Estimation precision of an original algorithm is improved by improving the two points.

IPC Classes  ?

• H04L 27/00 - Modulated-carrier systems

Abstract

The present invention relates to the technical field of short-wave data communication, and relates in particular to a Watterson model-based short-wave aviation mobile channel modeling method, comprising acquiring the operating state of an aircraft, the operating state of the aircraft comprising the maximum moving speed, acceleration, maneuvering frequency, and motion trajectory of the aircraft; constructing a short-wave aviation mobile channel model according to the operating state of the aircraft and an improved Watterson model; and in the improved Watterson model, by re-modeling the Doppler shift of a channel, constructing the Doppler shift into a time-varying Doppler shift related to the motion state. By studying the effect of the maximum moving speed and acceleration, maneuvering frequency, motion trajectory and other factors of an aircraft on a short-wave aviation mobile channel, the present invention combines the complexity of a moving scene with channel fading, reflects all features of short-wave mobile communication, and has important reference value for further research into short-wave aviation mobile communication systems.

IPC Classes  ?

• H04B 17/391 - Modelling the propagation channel

Abstract

The present invention provides a factory power management and control method based on edge-cloud coordination, including: 1) forming an industrial field network by a field node, a routing node and a device executing production tasks; 2) parsing production task information data and sending; 3) issuing an STN model in production field to an edge node; 4) sending to the edge node; 5) computing, required to complete the production tasks; 6) computing values of comprehensive ranks; 7) executing, by the edge node, the higher rank, and executing, by the cloud power management center, the lower rank; 8) executing, by the edge node, a demand response algorithm; 9) executing, by the production device, the production tasks based on computing results; and executing, by a power generation station in factory, a power storage station in factory and a power supply station outside factory, corresponding schemes based on the results.

IPC Classes  ?

• G06F 1/00 - Details not covered by groups and
• G06F 1/329 - Power saving characterised by the action undertaken by task scheduling
• 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]
• G06F 9/50 - Allocation of resources, e.g. of the central processing unit [CPU]
• G06F 1/3203 - Power management, i.e. event-based initiation of a power-saving mode

Abstract

The present invention relates to the field of decoder hardware design, and provides a hierarchical semi-parallel LDPC decoder system having a single permutation network. The system comprises a hierarchical decoding architecture of a single permutation network, a hierarchical semi-parallel decoding architecture of the single permutation network, pipeline design of hierarchical semi-parallel decoding, and a hardware architecture of a hierarchical semi-parallel LDPC decoder. According to the present invention, by changing a cyclic shift value of each information block transferred from a variable node to a check node, a permutation network module between the check node and the variable node is removed, that is, a cyclic shift operation of the decoder can be completed by the single permutation network, so that hardware resources of the decoder are reduced. A semi-parallel decoding structure is adopted, and a pipeline is added between the half layers. The variable node parallelism of the decoder having the semi-parallel structure is only half of a code length compared to a decoder having a hierarchical full-parallel structure, but 3/4 throughput can be achieved and the hardware resources are reduced by half.

IPC Classes  ?

• H03M 13/11 - Error detection or forward error correction by redundancy in data representation, i.e. code words containing more digits than the source words using block codes, i.e. a predetermined number of check bits joined to a predetermined number of information bits using multiple parity bits

Abstract

A fine-grained data stream reliable offloading method based on a callback mechanism. The offloading method comprises: a client device establishing a connection with an edge cloud server according to MQTT; extracting a coarse-grained data stream according to a first specific frame fragment corresponding to a data stream type; using a convolutional neural network to extract a fine-grained data stream from a second specific frame fragment in the coarse-grained data stream; the client device determining whether the fine-grained data stream needs to be offloaded to a server; and if the fine-grained data stream needs to be offloaded to a server, a client uploading the fine-grained data stream to the edge cloud server, the edge cloud server returning an uplink callback message to the client device, the edge cloud server generating a result after processing data, and returning the result to the client device, and the client device returning downlink callback information to the edge cloud server; otherwise, directly locally processing, on the client device, the fine-grained data stream and generating a result. By means of the offloading method, the uploading of data to a server and the issuing of a result to a client are guaranteed on the basis of the callback mechanism, thereby significantly improving the QoE and improving the utilization rate of computing resources.

IPC Classes  ?

• G06F 9/48 - Program initiatingProgram switching, e.g. by interrupt
• G06F 9/445 - Program loading or initiating
• G06F 9/54 - Interprogram communication
• G06N 3/02 - Neural networks

Abstract

The present application relates to the technical field of mobile communications, and specifically relates to an evolutionary game-based multi-user switching method in a software-defined satellite network system. The multi-user switching method comprises: respectively calculating the elevation angle and the remaining coverage time of a satellite according to obtained information, and calculating the payoff according to three basic factors, i.e., the capacity, the elevation angle, and the remaining coverage time of the satellite; a controller calculating the average payoff of users in the area, and broadcasting same to the users; when it is determined that the payoff of all the users is greater than the average payoff, ending multi-user switching; and when it is determined that the payoff of all the users is not greater than the average payoff, the users selecting other switching satellites having higher payoffs. According to the present application, a multi-user switching problem is modeled into an evolutionary game problem; evolutionary equilibrium serves as an equilibrium solution of the game; the dynamic policy adjustment process is repeated until an equilibrium state is reached; the optimal policy proportion is solved; it is guaranteed that all the users can obtain the best service after switching, and thus the fairness of the users is guaranteed.

IPC Classes  ?

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

Abstract

A method for predicting a remaining life of a tool of a computer numerical control machine is provided. In the method, indirect measurement indicators of the tool are selected based on monitoring and analyzing a current state of the tool, a prediction model for the remaining life of the tool is established based on data de-noising, feature extraction and a multi-kernel W-LSSVM algorithm. Thereby, a method for predicting a remaining life of a tool of a computer numerical control machine is provided.

IPC Classes  ?

• G01N 29/14 - Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic wavesVisualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object using acoustic emission techniques
• G05B 19/4065 - Monitoring tool breakage, life or condition
• G01N 29/44 - Processing the detected response signal
• G01M 13/00 - Testing of machine parts

Abstract

The present invention relates to the technical field of communications, and particularly relates to a low-complexity selected mapping method using cyclical redundancy check. The method comprises: when a sending end performs encoding, add a check bit to a sent information bit so as to obtain modulated data; demodulate an M-order modulation symbol received by a receiving end to obtain a decoding result of an encoded polynomial of the modulation symbol and bit information received by the receiving end; calculate the decoding result of the encoded polynomial and a modulo-2 division result of a generator polynomial; when the remainder of the modulo-2 division result is zero, and if the modulated data corresponding to the same index value of the receiving end and the sending end is identical, end iteration in advance, and output the number of iterations at this time to be used as a phase rotation sequence index recovery value; the receiving end obtains a decoded signal according to the phase rotation sequence index recovery value and a modulation symbol that is obtained by performing IFFT on a received signal. The present invention obtains a huge calculation gain, and also obtains the same PAPR suppression effect as the prior art by using a simple phase sequence.

IPC Classes  ?

• H03M 13/09 - Error detection only, e.g. using cyclic redundancy check [CRC] codes or single parity bit

Abstract

The present invention relates to a method of estimating lithium battery capacity based on a convolution long-short-term memory neural network (CNN-LSTM). The present invention obtains a model that lithium battery capacity estimation through the four steps: processing a lithium battery's data, selecting parameters of an improved convolution long-short-term memory neural network using a genetic algorithm, training the improved CNN-LSTM, and testing model. Hyper-parameters of the improved CNN-LSTM are optimized using the genetic algorithm. Using the convolution neural network to extract the spatial features of lithium battery charge and discharge data, and then input these features into the improved long-short-term memory neural network to extract temporal features, estimated capacity is output through a fully connected layer finally. The present invention overcomes the limitation of the traditional model-based algorithm overly relying on the battery model and has the engineering application prospect.

IPC Classes  ?

• G06N 3/04 - Architecture, e.g. interconnection topology
• G06N 3/08 - Learning methods
• G01R 31/00 - Arrangements for testing electric propertiesArrangements for locating electric faultsArrangements for electrical testing characterised by what is being tested not provided for elsewhere
• G01R 31/367 - Software therefor, e.g. for battery testing using modelling or look-up tables
• G01R 31/396 - Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery

Abstract

A cavity optomechanical vibratory gyroscope pertains to technical fields of resonant optical gyroscopes and micro-optical-electro-mechanical systems. A novel cavity optomechnical Coriolis vibratory micro gyroscope is realized based on ring micro rings and the Coriolis vibration principle, and driving and detection thereof is completely different from conventional electric or magnetic means. Based on the principle of angular velocity sensitive structures in the conventional Coriolis vibratory gyroscopes, full-optical driving, detecting and sensing of a vibratory gyroscope are achieved using cavity optomechnical technologies, which fundamentally suppresses various noises (including thermal noise, cross interference, connection point noise and quadrature error) introduced by electric or magnetic driving. Besides, displacement (vibration) sensing information is obtained according to a linear relationship between frequency shift and light amplitude in the micro cavity optomechnical effect.

IPC Classes  ?

• G01C 19/5684 - Turn-sensitive devices using vibrating masses, e.g. vibratory angular rate sensors based on Coriolis forces using the phase shift of a vibration node or antinode of essentially two-dimensional vibrators, e.g. ring-shaped vibrators the devices involving a micromechanical structure
• G01C 19/5733 - Structural details or topology

Abstract

The present invention relates to a method for estimating clock frequency offsets of industrial wireless sensor networks based on timing response. In the method, a data packet is sent from a node to be synchronized to a reference node. After the reference node receives the data packet, it replies an acknowledgement after a timing response interval, which is mapped according to a sequence number of the data packet. After communication and interaction for multiple times, a relative frequency offset and a fixed delay between node clocks can be estimated by the node to be synchronized without exchanging timestamp information. The present invention does not need to receive or send messages specially used for time synchronization parameter estimation, which realizes a long-term tracking of clock frequency offset with a low computation cost and reduces communication overhead and energy consumption.

IPC Classes  ?

• H04L 12/28 - Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
• H04L 5/00 - Arrangements affording multiple use of the transmission path
• H04J 3/06 - Synchronising arrangements
• H04L 1/16 - Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals

Abstract

The present invention relates to the technical field of communications, and relates in particular to a hybrid soft information-aided block linear equalizer (HBLE), and a bidiretional block linear equalizer. The block linear equalizer uses an a priori decision corresponding to a non-estimated symbol and an a posteriori decision for an estimated symbol so as to obtain an estimation symbol, and each time an a priori decision corresponding to a non-estimated symbol and an a posteriori decision for an estimated symbol are used to obtain an estimation symbol, the mean of preprocessing vectors is calculated, and a fixed covariance matrix is used when calculating each unknown symbol. In the present invention, when the number of unknown symbols is large, LC-HBLE and Bi-LC-HBLE equalizers can be used to reduce computational complexity, and when the number of unknown symbols is small, Bi-HBLE and HBLE equalizers can improve performance.

IPC Classes  ?

• H04L 25/03 - Shaping networks in transmitter or receiver, e.g. adaptive shaping networks

Abstract

The present invention relates to an IPv6 wireless sensor network node mobility management method based on RPL routing protocol. The present invention achieves the following: first, placing an RSSI in an ACK frame so as to detect the mobile state of a node and improve the accuracy of mobile detection; second, on the premise of compatibility with an original RPL routing protocol, improving the options for DIS and DAO in selecting the optimal parent node and updating a routing table; and finally, designing a cache method to prevent messages sent to the mobile node from being lost in the process of moving, and designing a new 6LoWPAN header so as to complete message caching.

IPC Classes  ?

• H04W 40/16 - Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality based on interference
• H04L 1/1607 - Details of the supervisory signal
• H04L 45/74 - Address processing for routing
• H04W 4/06 - Selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS]Services to user groupsOne-way selective calling services
• H04W 40/12 - Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality

Abstract

The present disclosure relates to a dynamic-static data hybrid-driven reduced-form grey box space identification method for a Hammerstein nonlinear industrial system, and relates to the field of nonlinear system identification under control theory and control engineering. The method comprises: S1: collecting static and dynamic data of the system; S2: selecting and processing a Hammerstein nonlinear system model to obtain a prediction model; S3: constructing a Hammerstein nonlinear system dynamic reduced-form model; S4: constructing a Hammerstein nonlinear system static reduced-form model; and S5: using a hierarchical Lagrangian optimal weight approach to solve for a system parameter fusion identification. According to the present disclosure, by simultaneously using dynamic data and static data and building on a decomposed reduced-form model, the estimation of additional intermediate parameters is avoided, the variance of the estimated model is reduced, and the precision of the model is enhanced.

IPC Classes  ?

• 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

A sparse optimization method for an electromagnetic vortex wave multiple-input-multiple-output (MIMO) rectangular array, relating to the fields of array antennas and wireless communications. The sparse optimization method based on the rectangular array comprises a sparse linear array genetic algorithm (SLGA) and a particle swarm optimization algorithm (PSO); the SLGA is firstly employed to carry out sparse optimization on array elements, and when total elements of the array are reduced by about 25%, the side lobe level is reduced by about 70%, so that power converges towards a main lobe, and channel capacities before and after sparseness are very close. According to the method, the problem of sparse optimization of a large rectangular array of isotropic antennas having the same amplitude can be effectively solved; neural network algorithms SLGA and PSO are creatively applied to the fields of array antennas and wireless communications in a combined mode, thereby facilitating inhibiting the side lobe level; orbital angular momentum is applied to an existing large-scale MIMO system, thereby improving the overall performance and efficiency of the system.

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 3/00 - Computing arrangements based on biological models

Abstract

The present invention relates to a power distribution method for an OAM-MIMO dynamic channel, and belongs to the technical field of wireless communications. In a dynamic OAM-MIMO scenario, the state of a channel may change along with the movement of a receiver, and due to the presence of feedback delay and estimation error in a system, it is hard to accurately obtain channel state information, resulting in unsatisfactory capacity performance of the system. Comparing the present invention with a traditional previous power continuation algorithm and average power distribution algorithm, the capacity performance of an OAM-MIMO system can be effectively improved where total power resources of the system are limited. A final simulation experiment result also shows that, when a working frequency is 10 GHz, a wavelength is 3 cm, the number of array elements is 8, the transmitting and receiving radius of a UCA is 9 cm, and channel state information is unknown, the power pre-distribution algorithm provided in the present invention is obviously better than the traditional average power distribution algorithm and previous power continuation algorithm.

IPC Classes  ?

• H04B 7/0426 - Power distribution

Abstract

The present invention relates to the technical field of communications, and in particular, to an embedded GPU-based wideband parallel channelized receiving method. The method comprises: constructing an OpenCL platform comprising work items and work groups; extracting wideband signals read to the OpenCL platform, an extraction interval being the number of channels, wherein after the extraction, originally read one-dimensional data forms a two-dimensional matrix, and the number of rows of the two-dimensional matrix is the number of channels; assigning each row of data to a work group for processing, and each work group multiplying input data within the work group by a first factor; filtering data on each channel and a polyphase filter coefficient on a branch; multiplying the filtered data by a second factor; and performing FFT operation on the formed two-dimensional matrix by columns to obtain data output on each channel. The present invention simultaneously processes computing tasks of a plurality of channels, thereby improving the efficiency of task processing.

IPC Classes  ?

• H04B 1/06 - Receivers
• G06F 8/30 - Creation or generation of source code

Abstract

Provided is a data security sharing method for multiple edge nodes to operate in a collaboration mode under an industrial cloud environment. The method includes: firstly, edge nodes that need collaborative computing separately applying for a shared key to an authority center; secondly, the authority center generating a shared key and issuing the key to each of the edge nodes applying for participation in the collaborative computing; again, the edge nodes combining industrial characteristics to generate an interference factor set, and adding different interference factors for different types of data; then, the data of the edge nodes is implemented with improved homomorphic encryption and is uploaded to an industrial cloud platform; and finally, the industrial cloud platform performing homomorphic analysis and computing on the data uploaded by each of the edge nodes, and issuing the data back to each of the edge nodes.

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]
• H04L 9/08 - Key distribution
• H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
• H04L 9/00 - Arrangements for secret or secure communicationsNetwork security protocols
• H04L 9/40 - Network security protocols

Abstract

The present invention relates to the technical field of data processing, and relates to a trust evaluation-based edge node computing result credibility determining method. A security mechanism for ensuring that a computing result output by an industrial edge node is trusted in the present invention prevents the industrial edge node from outputting error data, resists false data attacks from malicious edge nodes, guarantees that a trusted computing result which is not tampered is input to industrial cloud, enables a field device to receive a correct computing result instead of malicious or meaningless messages, and thus improves the efficiency and security of industrial production.

IPC Classes  ?

• H04L 29/06 - Communication control; Communication processing characterised by a protocol
• G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities

Abstract

A RPA-based customer requirement obtaining and querying method under large-scale customization, relating to the technical field of information processing. The requirement obtaining method comprises: a RPA management platform deploys RPA robots that perform different obtaining processes for different requirement processes, and the RPA robots are linked to the RPA management platform (101); a customer sends a request of submitting requirements to the RPA management platform, and the RPA management platform automatically accepts the request submitted by the customer and determines the time and number of calling the RPA robots on the basis of the priority and information quantity of the submitted request (102); tasks required to be performed for the request are assigned to one or more RPA robots at the calling time (103); after the RPA robots are called, a workflow is performed to acquire corresponding customer requirement information, and the requirement information is sent back to the RPA management platform (104); and the RPA management platform stores the obtained customer requirement information into a database (105). According to the method, the RPA robots are controlled by the RPA management platform, one or more RPA robots can be called to automatically obtain customer requirements at the same time, and the database can be established to facilitate quick query of data.

IPC Classes  ?

• G06F 16/33 - Querying

Abstract

A scheduling method for a TSN and non-TSN interconnected industrial heterogeneous network, which relates to the field of industrial Ethernet and comprises the following steps: by using a terminal application program, a user in a network deployment phase performs configuration management on a TSSDN controller according to an application requirement; the TSSDN controller performs data classification according to a delay requirement; the TSSDN controller manages the scheduling priority of data; the TSSDN controller calculates the shortest path; the marking of the scheduling priority; an SDN switch flow table is matched; a queue congestion situation is determined; and queue congestion feedback is adjusted. The method performs high-efficiency and high-quality scheduling in a TSN and non-TSN interconnected industrial heterogeneous network, thus ensuring low-latency and deterministic transmission of different types of data in the network.

IPC Classes  ?

• H04L 12/24 - Arrangements for maintenance or administration

Abstract

In a technical solution provided in an embodiment of the present invention, after receiving road condition information sent by a fog node, a management apparatus can select a data processing node according to the road condition information. The management apparatus sends the road condition information to the selected data processing node, such that the processing node can send a processing result to a server after processing the road condition information. The technical solution provided in the embodiment of the present invention proposes a novel traffic management method capable of reducing delay in an Internet of vehicles service, and improving the traffic management capability of a management apparatus.

IPC Classes  ?

• H04W 4/40 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]

Abstract

Disclosed are a data processing method and a related device. The method comprises: a network device selects auxiliary information NSRPI according to network slicing to divide a Radio Access Network (RAN) of the network slicing into n slicing groups, the n slicing groups corresponding to n different NSRPI parameters, and n being a positive integer greater than 3.

IPC Classes  ?

• H04W 28/16 - Central resource managementNegotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]

Abstract

The present invention relates to a digital workshop electric energy management research method based on context awareness, belonging to the field of the Internet of Things. The method comprises the following steps: S1: establishing a digital workshop electric energy management architecture based on context awareness; S2: classifying orders; S3: monitoring electric energy; S4: making a decision by voting; and S5: scheduling production. According to the present invention, physical information and production demand information related to a production line are acquired by means of context awareness, such that the working state or the operation power level of a certain device on the production line is decided by voting performed by other devices on the production line according to the above information, thereby reducing the electric energy consumption of the entire production line in a flexible, automatic and intelligent manner.

IPC Classes  ?

• G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling

Abstract

A task scheduling method in a distributed big data processing platform Spark, relating to the field of resource allocation and task scheduling, and comprising that: a node information monitoring module collects state information such as a CPU utilization rate, a memory utilization rate and a network transmission speed of a node where the node information monitoring module is located and periodically sends the state information to a node information collection module, and the node information collection module updates a collected node state index; a Spark scheduler sends task information to be scheduled and a currently available computing resource node list to a task scheduling management module; the task scheduling management module obtains state information of the currently available computing resource node list from the node information collection module, plans a scheduling scheme by using an improved quantum ant colony algorithm built in the task scheduling management module, and returns the scheduling scheme to the Spark scheduler, and the Spark scheduler completes scheduling. The method can effectively shorten a task execution time span, and improves the task execution efficiency.

IPC Classes  ?

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

Abstract

The present invention relates to an improved KNN-based 6LoWPAN network intrusion detection method. The present invention selects quantifiable security features which can reflect a self-security state of network elements of a 6LoWPAN network for training, and establishes a 6LoWPAN network feature space. The present invention assigns the weights to the features and transfers zero points, to alleviate the bias caused by large and small impact factors and simplify calculation; realizes construction and update of a state data table of network elements by extracting the feature data of network elements in real time, thus forming a normal contour updated according to the real-time state of the network in the feature space of the 6LoWPAN network based on the clustering effect of a KNN algorithm; and the present invention improves the KNN algorithm and redefines a basis for judging the invasion, to meet the requirements for 6LoWPAN network intrusion detection.

IPC Classes  ?

• H04W 12/122 - Counter-measures against attacksProtection against rogue devices
• H04L 9/40 - Network security protocols
• H04L 29/06 - Communication control; Communication processing characterised by a protocol
• H04L 29/12 - Arrangements, apparatus, circuits or systems, not covered by a single one of groups characterised by the data terminal
• H04W 4/80 - Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
• H04W 12/69 - Identity-dependent
• H04W 24/08 - Testing using real traffic
• H04L 101/659 - Internet protocol version 6 [IPv6] addresses
• H04W 84/18 - Self-organising networks, e.g. ad hoc networks or sensor networks