71 results about "Channel adaptation" patented technology

The invention relates to the technical field of wireless streaming media, in particular to a real-time video transmission method and system based on 5G, and the method comprises the following steps: based on mobile terminal equipment, analyzing the signal strength and service bearing change of a 5G base station, screening an optimal access sequence, comparing channel capability with video partition characteristics, and adjusting coding parameter distribution. And analyzing link capability and packet loss performance, and optimizing uplink and downlink compression parameters to obtain a compression change trend. According to the invention, by dynamically identifying the signal association and network load change between the mobile terminal and the 5G base station, the multi-dimensional access priority sequence is generated in combination with the real-time bandwidth demand, the coding and allocation parameters are flexibly adjusted according to the video partition content characteristics and the wireless channel adaptation condition, and the access priority sequence is optimized in combination with the uplink and downlink performance and the frame type change. Dynamic regulation and control and synchronous updating of compression parameters are automatically completed, continuous transmission of video streams in a complex network environment is achieved, and the end-to-end consistency of video content and the integrity of picture data are improved.

The invention relates to the technical field of network scheduling, in particular to a wireless network scheduling method driven by edge computing, which comprises the following steps of: acquiring task execution time delay of a current wireless network computing task, monitoring computing power occupation condition of the computing task at an edge computing node, and executing the task execution time delay; the execution interval time of the calculation task is analyzed, the calculation power occupation fluctuation trend is analyzed, the calculation power occupation ratio of the current wireless network is calculated, and calculation power utilization ratio data are output. According to the method, the execution time delay of the wireless network computing task is accurately monitored, analysis is performed in combination with the computing power occupancy fluctuation trend, different task computing requirements are met, the data rate ratio, the channel bandwidth occupancy rate and the data throughput ratio are comprehensively computed, network congestion is reduced, and the computing task execution node is dynamically adjusted, so that the computing efficiency is improved. And intelligent matching is performed on the channel adaptation capability and the task calculation requirement by combining the optimal allocation path of the calculation resources and combining the edge cache, so that the overall throughput capability and the task execution stability of the wireless network are improved.

The present disclosure provides techniques for wireless communications. A method includes receiving, from a network entity, a message comprising at least a physical random access channel (PRACH) configuration, where the PRACH configuration comprises a set of parameters for performing random access channel (RACH) procedures to establish connectivity with the network entity; monitoring for one or more paging-related indications, from the network entity, in one or more configured paging instances; determining to use the PRACH configuration or an adaptation PRACH configuration based at least in part on whether a paging-related indication is received; and performing a RACH procedure to establish connectivity with the network entity using the PRACH configuration or the adaptation PRACH configuration.

The present disclosure provides techniques for wireless communications. A method includes receive, from the network entity, a first message comprising physical random access channel (PRACH) adaptation information, the PRACH adaptation information comprising: a first PRACH configuration; and an indication of an activation state for PRACH adaptation, wherein the indication of the activation state for PRACH adaptation indicates whether one or more PRACH adaptations are active with respect to the first PRACH configuration; and performing a random access channel (RACH) procedure based on the PRACH adaptation information.

The invention provides a target-oriented video semantic communication system based on a visual model, and the system comprises a semantic extractor which is based on an SAM2 model and is used for processing an original video, generating a segmentation mask and extracting semantic information; the ViMama encoder is used for carrying out channel encoding on the output of the semantic extractor; the channel adaptation module is used for optimizing a coding sequence ViMama decoder based on the signal-to-noise ratio information of a physical channel, and is used for carrying out channel decoding to obtain a feature sequence; and the semantic reconstruction device is used for performing semantic reconstruction based on the feature sequence, recovering data and outputting a target video. According to the method, the problems of large redundant semantic information interference, insufficient deep semantic coding capability and poor communication robustness in a complex channel environment in a video are solved, efficient compression and robust transmission of video data are realized on the premise of ensuring semantic integrity, and the overall performance and adaptability of semantic communication are greatly improved.

The invention discloses a skeleton gesture recognition method based on an adaptive space-time decoupling network, and the method is characterized in that a skeleton gesture sequence is obtained and preprocessed, and multi-modal fusion features are obtained; constructing an adaptive space-time decoupling network, wherein the adaptive space-time decoupling network comprises N adaptive space-time decoupling units connected in sequence, a self-supervised time-channel adaptation module fusing the space-time features of each mode, a global average pooling layer, a random inactivation layer and a full connection layer, and the N adaptive space-time decoupling units, the self-supervised time-channel adaptation module, the global average pooling layer, the random inactivation layer and the full connection layer are connected in sequence; inputting the multi-modal fusion features into an adaptive space-time decoupling network for training; performing skeleton gesture recognition by adopting the self-adaptive space-time decoupling network obtained by training, and finally outputting a category prediction score of the skeleton gesture; the method has the advantages that spatial representation is enhanced, interference is decoupled, the modeling efficiency of multi-granularity long and short time sequence dependence is improved, and therefore the recognition precision of skeleton gestures is improved.

The invention discloses a welding conveying line, which belongs to the technical field of welding equipment and comprises an annular conveying frame, a feeding port of the conveying frame is matched with an inner side rotating wheel through an annular pushing belt, products are pushed to enter a main conveying channel through friction force, and feeding stagnation is avoided. And the product circularly moves in the annular channel, and the multi-section mechanical arm of the welding machine drives the welding gun to move in multiple dimensions, so that welding of at least two key positions is realized. After being welded for the first time, a product enters the turnover mechanism, a servo motor drives a gear to be meshed with teeth of a steering wheel, the steering wheel is driven to rotate to achieve turnover of the product, the steering wheel is attached to the cut-off position of the conveying frame and matched with a channel, and it is guaranteed that the product stably enters the channel. After being turned over, the product reaches a second welding point and is clamped and positioned by the clamping plates with the adaptive cambered surfaces on the two sides, so that welding precision is ensured. And finished products are output from the discharge port to form a complete processing cycle. The conveying line improves the conveying efficiency and continuity.

The invention discloses a real-time guiding control system and method for a borehole track of a wireless measurement-while-drilling instrument, and belongs to the technical field of drilling engineering.The real-time guiding control method comprises the steps that the wireless measurement-while-drilling instrument collects borehole attitude data and environmental factor data, and fusion data is generated; based on the fusion data and the historical guiding effect data, generating adaptive control parameters through an adaptive learning mechanism; performing channel adaptation processing and dynamic compensation on the adaptive control parameter to generate a compensation control signal; the compensation control signal is used for controlling the operation posture of the guiding tool, the deviation between the actual well track data and preset target well track data is calculated, and track deviation data is generated; and learning parameters of the adaptive learning mechanism are updated based on the trajectory deviation data. Multi-source data fusion perception, intelligent decision based on a self-adaptive learning mechanism, dynamic compensation communication of channel adaptation and closed-loop feedback updating based on trajectory deviation are adopted, and real-time guiding control over the well trajectory can be achieved.

The invention relates to an interpretable cross-modal target re-identification method and system based on prototype learning. The method comprises the following steps: constructing a prototype cross-modal network for carrying out channel adaptation on image samples in a multi-modal image sample set, extracting multi-scale fusion features and obtaining a discriminative feature vector through channel weighting, traversing the spatial position of the discriminative feature vector and extracting local features, and carrying out multi-scale fusion on the image samples in the multi-modal image sample set; selecting a local feature with the highest similarity for each initial prototype, fusing the local feature with the initial prototype to obtain a new prototype, iteratively updating the prototype corresponding to each identity tag to obtain a dynamic prototype set, generating a prototype activation thermodynamic diagram about a discriminative feature vector and each prototype in the dynamic prototype set, and classifying and outputting a classification result of a corresponding image sample; and training the prototype cross-modal network, and carrying out cross-modal re-identification by using the trained prototype cross-modal network. By adopting the method, the cross-modal recognition precision, scene adaptability and interpretability of target re-recognition in a complex environment can be improved.

The invention provides a self-adaptive intelligent heat dissipation plate based on a multi-layer composite phase change material and a spiral flow channel, and relates to the field of heat management. The intelligent heat dissipation plate based on self-adaption of the multi-layer composite phase-change material and the spiral flow channel comprises the multi-layer composite phase-change material, the spiral fractal flow channel, an intelligent regulation and control system and a modular unit, the multi-layer composite phase-change material is composed of at least three nanometer modified materials with different phase-change temperatures, and the temperature range covers-20 DEG C to 150 DEG C. According to the multi-layer composite phase change material and spiral flow channel self-adaptive intelligent heat dissipation plate, through the design of the multi-layer composite phase change material and the spiral flow channel and an intelligent regulation and control system, efficient heat dissipation and dynamic temperature adaptation are achieved, and the multi-layer composite phase change material and spiral flow channel self-adaptive intelligent heat dissipation plate is suitable for high-power electronic equipment, new energy batteries, aerospace equipment and other scenes; the heat dissipation efficiency is improved by 40%-60% compared with that of a traditional phase change heat dissipation plate, and the temperature uniformity is improved by 50%; adaptability: supporting a wide temperature range from-40 DEG C to 200 DEG C, and adapting to multiple industry scenes; energy consumption: the power consumption of an AI regulation and control system is less than 5W, and the energy is saved by 30% compared with that of a fixed flow channel.

A method for implementing uplink and downlink channel reciprocity, a communication node, and a storage medium are provided. The method for implementing uplink and downlink channel reciprocity includes: performing channel estimation in real time according to a received reference signal to obtain a channel estimation result; inputting the channel estimation result into a pre-trained neural network model, to output a channel adaptive matrix; and performing channel adaptation processing on a transmission signal by applying the channel adaptive matrix to the transmission signal.

The application provides a package recommendation method and device, electronic equipment and storage medium, wherein the method comprises: determining the recommendation success rate of each user corresponding to each channel based on the package adaptation degree between the user and the to-be-recommended package, the channel adaptation degree between the user and the channel, the channel package adaptation degree between the channel and the to-be-recommended package, and the influence of the user's social circle in each channel; determining the to-be-marketed user based on the recommendation success rate of each user corresponding to each channel; determining the recommendation channel of each to-be-marketed user based on the channel adaptation degree between each user and each channel; recommending the to-be-recommended package to the corresponding to-be-marketed user based on the recommendation channel of each to-be-marketed user; wherein the package adaptation degree between any user and the to-be-recommended package is determined based on the consumption similarity between the user and the to-be-recommended package and the marginal revenue value of the to-be-recommended package. The application improves the accuracy of package marketing promotion and improves the recommendation effect of the package.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a signal that identifies a configuration for a set of physical random-access channel (PRACH) occasions that are within an association period, individual ones of a first subset of one or more PRACH occasions in the set of PRACH occasions are mapped to synchronization signal block (SSB) transmissions during the association period and individual ones of a second subset of one or more PRACH occasions in the set of PRACH occasions are unmapped to SSB transmissions during the association period. The UE may selectively perform one or more PRACH transmissions during the second subset of one or more PRACH occasions in the set of PRACH occasions according to an availability scheme, the availability scheme defines whether the second subset of one or more PRACH occasions is available or is unavailable for PRACH transmissions.

This application relates to the field of gas sensor packaging technology, specifically to an automated packaging method, system, and packaging device for gas sensors. The method includes: pre-establishing a packaging process parameter-gas-sensitive channel adaptation model; calculating the actual coaxiality deviation and correcting the sealing pressure reference value based on the gas-sensitive channel aperture; starting the integrated packaging unit, applying pre-pressure according to the corrected sealing pressure, and simultaneously collecting the temperature of the sealing area through an infrared temperature measurement module to determine whether dynamic adjustment of the welding temperature is needed; after welding, maintaining the corrected sealing pressure, and dynamically adjusting the pressure holding time based on the gas-sensitive channel length and the creep coefficient of the sealing material to complete the sealing process. This application achieves a precise balance between sealing performance and conduction efficiency by establishing a dynamic adaptation model of process parameters and gas-sensitive channel structure, overcoming the coupling imbalance bottleneck of existing technologies.

The invention relates to the technical field of computers, and discloses a multi-channel multi-protocol unified access system based on a designated driver SaaS platform, which comprises a unified channel authentication layer, a channel adaptation layer and a unified channel capability aggregation layer, and is characterized in that the unified channel authentication layer is used for identifying a channel identifier of a network request; carrying out resource authority authentication and resource limit verification on the channel identifier; the channel adaptation layer is used for carrying out channel adaptation processing on parameters of different channels according to channel adaptation logic, and converting a network request into a standard capability request conforming to the unification of a designated driving SaaS platform; according to the invention, the channel identification of the network request is identified, verification is carried out, unauthorized access is prevented, channel adaptation processing is carried out on parameters of different channels, different channel flows are efficiently connected, compatibility and flexibility are improved, and the network request is responded. Repeated development and test cost is reduced, and flow realization is rapidly realized.

Disclosed is a method for adapting a communication channel of a URLLC service, the method being designed to ensure reliability when performing the URLLC service and being performed in a communication system having at least one transmitter node (eNode) and a receiving or mobile terminal, wherein the receiving or mobile terminal measures an expected signal-to-interference ratio (SIR) using a reference signal received at time t=i-1 and converts the SIR value (SIR) into a desired signal-to-interference ratio (SIR). i‑1 ) is stored in the memory. According to the present invention, the SIR value (SIR i‑1 ), determine the CQI value (CQI i‑1 ) and sends it to the transmitter node (eNode), which transmits the CQI (CQI i‑1 ) selects the modulation and coding format (MCSi) for subsequent transmission in the downlink, wherein, when receiving a data packet sent by the transmitter node (eNode) at time t=i, the receiving terminal measures the SIR (SIRi) and saves it in a memory.

The invention relates to the technical field of electrostatic discharge methods, and discloses an electrostatic discharge method capable of dynamic monitoring, and the method comprises the following steps: collecting a video image of a berth working area based on a multi-path camera; updating an electrostatic discharge region (ROI) and an entry detection line (line) in real time from the input field; establishing a unique tracking record for the detected target, and storing a frame sequence of the ROI touched by the left hand and the right hand of the target; if it is detected that the target crosses the detection line from bottom to top, whether a touch behavior reaching the target frame number exists in the corresponding historical sequence or not is judged; if yes, judging that electrostatic discharge exists and not giving an alarm, otherwise, giving an alarm; according to the electrostatic discharge method capable of being dynamically monitored, significant technical progress is achieved in the aspects of algorithm precision, response speed and multi-channel adaptation, stable and reliable automatic detection can be achieved in a complex industrial environment, and an efficient intelligent solution is provided for industrial safety monitoring.

The invention discloses a cross-platform remote networking method and system, and belongs to the technical field of network communication, and the method comprises the steps: constructing a task graph model according to a task request, retrieving to obtain a candidate node set, calculating to obtain a capability matching score, sorting the capability matching scores of all system nodes according to each task node, and obtaining a task graph model; reserving nodes as an available node set; and performing intersection judgment on each group of nodes, generating a channel adaptation structure, generating a corresponding channel adaptation information table based on the channel adaptation structure, performing behavior scoring modeling, outputting a node scoring set and an edge scoring set, and obtaining a deployment topological structure and a communication deployment table. According to the scheme, the historical operation behavior data is collected and modeled, and the availability and stability levels of the nodes and the links in the task execution period are identified to instruct networking path selection and node screening, so that the potential fault risk is effectively avoided, and the network stability and the system response efficiency in the task execution period are improved.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit an uplink wake-up signal associated with one or more original random access channel occasions (ROs) to request an on-demand system information block one (OD-SIB1). The UE may receive information that configures one or more extra ROs. The UE may transmit a random access message in an extra RO of the one or more extra ROs. The activation of the extra ROs may be based on the received OD-SIB1 implicitly or explicitly. Numerous other aspects are described.

The application relates to the technical field of communication, in particular to a multi-channel adaptive game real-time information high-speed transmission system, which comprises a connection construction unit, a data encapsulation unit, a data transmission unit, a verification unit, an updating unit, a broadcasting unit, a response unit, a delay detection unit and an analysis unit. The analysis unit determines whether the transmission of a protocol package is qualified based on the value of average delay, and timely corrects the transmission parameters of the protocol package when determining that the transmission of the protocol package is abnormal, so that the transmission efficiency of game real-time information is improved.

A receiver circuit including mechanisms for analog channel equalization and channel adaptation is disclosed. The receiver includes a front-end circuit configured to generate a filtered signal by performing filtering of an incoming signal that includes a stream of data symbols. A sample recovery circuit configured to sample an equalized signal, based on the filtered signal, to generate a plurality of recovered data symbols. A decision feedback equalization (DFE) circuit configured to generate the feedback signal based on the plurality of recovered data symbols. A logic circuit is configured to cause adjustment to one or more filters in the front-end circuit based on the plurality of recovered data symbols.

The invention discloses a multi-thread message interaction control method and device, equipment, a medium and a product, and relates to the technical field of data processing, and the method comprises the steps: splitting a to-be-processed message according to a service type, and transmitting the split to-be-processed message to different queues of a TopicA; extracting messages of different queues of the TopicA, splitting the extracted messages according to the third-party channel type, and sending the split messages to different queues of the TopicB; extracting messages of different queues of the TopicB, and sending the extracted messages to the corresponding channel adaptation agents; sending a message to a corresponding third-party channel through the channel adaptation agent; judging whether the message flow sent by each channel adaptation agent in the set time window triggers flow limiting or not; if the current limiting is triggered, a message is sent to a corresponding delay queue through a channel adaptation agent; according to the method and the device, message management and control are carried out according to different channel characteristics, and the continuity and the stability of services are guaranteed.

The invention discloses a molecular communication channel adaptation method and device based on transfer learning, and the method comprises the steps: employing a diffusion-advection-reaction equation as a channel impulse response model, and constructing a molecular communication system simulator; acquiring an original channel body temperature and a target channel body temperature, and obtaining an original channel environment and a target channel environment based on the channel environment calculation model; simulating the original channel sequence and the target channel sequence to obtain an original channel data set and a target channel data set; and constructing a domain alignment transfer learning model based on the hybrid neural network, training the transfer learning model based on the original channel data set and the target channel data set to obtain a molecular communication symbol detection model adaptive to the target channel, and performing molecular communication under the target channel based on the molecular communication symbol detection model. The method is applied to the field of molecular communication, molecular communication channel adaptation can be rapidly achieved, and an effective way is provided for solving the symbol detection problem in a resource limited scene.

This invention discloses a method and system for detecting airflow uniformity based on color-changing reactions. The method includes five steps: channel adaptation, color-changing substance filling, airflow introduction, color image acquisition and analysis, and uniformity judgment. By selecting a matching channel structure, filling the channel with a color-changing substance, and introducing the target airflow according to actual operating conditions, the color-changing process is recorded using high-speed imaging, and color parameters are quantified. The airflow distribution state is determined by combining color change uniformity, time difference, and pressure parameters. A color change heatmap can also be generated to visually display the airflow distribution. This invention replaces complex detection signals with visualized color-changing signals, eliminating the need for expensive specialized equipment. The color-changing substance and target airflow can be flexibly interchanged, adapting to various gases and application scenarios. The detection results are intuitive, quantitatively accurate, simple to implement, low-cost, and highly versatile, and can be widely applied to the detection and optimization of airflow distribution in various industrial equipment involving gas flow.

Certain aspects of the present disclosure provide techniques for selection and reselection of random access channel (RACH) occasions (ROs) under physical RACH (PRACH) adaptation. An example method, performed at a user equipment (UE), generally includes receiving signaling indicating adaptation of a first set of one or more random access channel (RACH) occasions (ROs), wherein the adaptation results in a second set of one or more ROs, selecting an RO of the second set that was added via the adaptation, based on one or more rules, and transmitting a RACH preamble in the selected RO.

The invention relates to the technical field of stacker-reclaimer communication, and discloses a method for communication of a wireless AP on a stacker-reclaimer, comprising the following steps: S1, a communication reference configuration and environment modeling stage; s2, a multi-source data real-time monitoring and communication establishment stage; s3, a dynamic channel adaptation and anti-interference optimization stage; s4, an AP seamless switching and connection maintaining stage; s5, an abnormity monitoring and emergency processing stage; s6, a data archiving and model iteration stage; the invention aims to provide a method for communication of a wireless AP (access point) on a stacker-reclaimer, so as to solve the problems that the existing communication mode of the wireless AP on the stacker-reclaimer generally adopts a fixed channel to carry out data transmission, and the dynamic adaptation capability to complex interference in an industrial scene is lacked; signal attenuation and other situations caused by electromagnetic interference and dust cannot be actively avoided, and the problems of signal quality decline, data packet loss or transmission delay and the like easily occur.

The application discloses a borehole trajectory real-time guiding control system and method of a wireless measurement-while-drilling instrument, and belongs to the technical field of drilling engineering. The system comprises the following steps: collecting borehole posture data and environmental factor data through the wireless measurement-while-drilling instrument, and generating fusion data; generating adaptive control parameters through an adaptive learning mechanism based on the fusion data and historical guiding effect data; performing channel adaptation processing and dynamic compensation on the adaptive control parameters to generate a compensation control signal; controlling the operating posture of a guiding tool by using the compensation control signal, calculating the deviation between actual borehole trajectory data and preset target borehole trajectory data, and generating trajectory deviation data; and updating the learning parameters of the adaptive learning mechanism based on the trajectory deviation data. The application adopts multi-source data fusion perception, intelligent decision based on an adaptive learning mechanism, dynamic compensation communication based on channel adaptation, and closed-loop feedback updating based on trajectory deviation, and can realize real-time guiding control of a borehole trajectory.

The invention is suitable for the technical field of message processing, and provides a message processing method and system based on a rule engine, and the method comprises the steps: receiving a message event from asynchronous message middleware after a responsibility chain processing engine in a message center core service is started, a message processing flow comprising a plurality of processors is driven to be executed according to a preset sequence; wherein the responsibility chain processing engine comprises a receiver verification processor, a rule engine routing decision processor, a message copywriting generation processor and a sending task creation processor; determining a target receiving user list through a receiver verification processor according to the message type and the service identifier in the message event; calling a rule engine for each user in the target receiving user list through a rule engine routing decision processor, and generating an ordered channel sequence of each user based on the message event; through a message copywriting generation processor, generating message copywriting corresponding to different channels according to the ordered channel sequence and the message template parameters of each user; creating a sending task containing a channel identifier for each user based on the message copywriting and the corresponding ordered channel sequence through a sending task creation processor; and calling the channel adaptation layer, and executing the sending task. The message reaching success rate and the user experience are improved, the maintenance cost of the system is reduced, and the iteration efficiency and the expansibility are improved.

The invention provides a signal processing method and device, electronic equipment and a storage medium, and relates to the technical field of signal processing. The method comprises the following steps: receiving an audio signal; determining a first down-mixing matrix of the audio signal; the first down-mixing matrix is a single-channel matrix for performing channel adaptation on the target audio signal; the target audio signal is any one of a left ear audio signal and a right ear audio signal; performing symmetric processing on the first down-mixed matrix to obtain a second down-mixed matrix, the second down-mixed matrix being a down-mixed matrix of the left ear audio signal or a down-mixed matrix of the right ear audio signal; and generating a binaural output signal according to the first downmix matrix, the second downmix matrix and the audio signal. According to the scheme, the calculation amount of signal processing is reduced.

The invention discloses a Wi-Fi channel state information time delay estimation method and system, and the method comprises the steps: carrying out the preprocessing of collected multi-antenna CSI data, and obtaining a multi-antenna CSI matrix; constructing a multi-antenna joint Bayesian model, extracting a main path of each antenna, carrying out consistency detection, calculating a fusion time delay value, time delay uncertainty and a channel abnormal identifier, and forming a state feature; training the DQN through a multi-target reward function by adopting a light-weight DQN combined with depth separable convolution and full connection, and outputting an optimal pilot frequency configuration action; executing an optimal pilot frequency configuration action and mapping the optimal pilot frequency configuration action into a pilot frequency configuration parameter, generating and sending a time domain orthogonal multi-antenna pilot frequency signal, and outputting a new CSI matrix; and updating network parameters of the multi-antenna Bayesian model and the lightweight DQN, and performing closed-loop optimization on dynamic channel adaptation. According to the invention, through organic combination of multi-antenna data joint preprocessing and Bayesian estimation, the influence of hardware errors on time delay estimation is effectively overcome.