35 results about "Channel adaptation" patented technology

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 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 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.

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.

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.

The invention is suitable for the technical field of message processing, and provides a message processing method and system for intelligent decision making, and the method comprises the steps: receiving a message event and driving the execution of a message processing flow after a preset processing chain capable of being arranged is started; wherein the orchestrable processing chain predefines an execution sequence comprising a plurality of processing nodes; in the execution process of the orchestrable processing chain, when a flow is transferred to a decision node, calling of a pluggable intelligent decision center is triggered, a message event is transmitted to the intelligent decision center, and the intelligent decision center generates a message sending channel sequence containing at least one channel identifier based on the message event; after the schedulable processing link receives the message sending channel sequence, driving a flow to a task creation node, and creating a sending task in the task creation node according to the message sending channel sequence; and when the schedulable processing chain drive flow is sent to the sending node, calling of the channel adaptation layer is triggered, and the channel adaptation layer searches and calls the corresponding channel sender instance according to the channel identifier in the sending task so as to execute the sending task. The access rate and effectiveness of the message are improved, the coupling degree of the system is reduced, and the expansion capability of the system and the agility of service response are improved.

A computing device that includes a wireless transceiver operable to receive communications on a designated wireless frequency obtains a first wireless frequency identifier that corresponds to a first wireless frequency being used by a user equipment (UE) to wirelessly communicate with a first wireless access point (AP). The computing device sends instructions to the wireless transceiver to set the designated wireless frequency to the first wireless frequency. The computing device determines that the UE switched from using the first wireless frequency to using a second wireless frequency to communicate with a second AP. The computing device, in response to determining that the UE switched from using the first wireless frequency to using the second wireless frequency, sends instructions to the wireless transceiver to set the designated wireless frequency to the second wireless frequency.

The invention discloses a remote control anti-interference method and system based on an intelligent lock, and relates to the technical field of intelligent locks.The remote control anti-interference method comprises the steps that the intelligent lock and a cloud server conduct key negotiation and establish an encryption channel, and after an instruction input by a user passes verification, a quantum encryption technology is adopted to encrypt a control instruction packet; a PQL algorithm is combined with a parallel time slot structure to perform spectrum sensing, data transmission and spectrum learning at the same time, a whale optimization algorithm is introduced to initialize a Q table, an epsilon-greedy strategy is used to select an optimal communication channel to perform data transmission, and after an intelligent lock receives an instruction packet, the intelligent lock decrypts the instruction packet through a quantum decryption technology, verifies the legality of the instruction and executes corresponding operation; the anti-interference capability, the communication security and the remote control robustness of the intelligent lock system in a complex communication environment are effectively improved, and the whole-process protection from equipment registration, control encryption and channel self-adaption to security response is realized.

The application relates to the technical field of data encryption, and relates to a dynamic encryption authentication method and system based on channel self-adaptation and multi-modal fingerprints, which comprises the following steps: firstly, using a receiving end and a spectrum analyzer and other devices to obtain the signal-to-noise ratio, channel state information, error vector amplitude and channel impulse response of a communication channel, and using a current transformer to obtain the current harmonic amplitude ratio of a motor of the device, and calculating the average bit error rate; then, according to the real-time signal-to-noise ratio and the average bit error rate, combining a preset strategy to dynamically select an encryption algorithm and the corresponding key length; then, taking the channel impulse response characteristics, the current harmonic amplitude ratio and the error vector amplitude as multi-modal fingerprints, splicing according to preset weights and generating a temporary session key through a key derivation function; finally, using the selected encryption algorithm and the generated temporary session key to perform dynamic encryption authentication. The application can improve the security of the authentication process and reduce the communication delay.

Provided are a communication apparatus, a base station, and methods for a communication apparatus and, respectively, a base station. The communication apparatus comprises a transceiver, which, in operation, receives, via one or both of a physical downlink control channel, PDCCH or system information block, SIB, an indication regarding adaptation of resources for a common channel, wherein the indication indicates one or more adaptation parameters; and circuitry, which, in operation, determines, based on the indication, valid resource occasions for the common channel. The transceiver, in operation, performs transmission, reception, or monitoring of the common channel on the valid resource occasions.

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.

According to the communication protocol stack code-free development system and method based on the blueprint, code-free protocol development is achieved through a collaborative architecture of a visual blueprint editor and an intelligent runtime kernel. The system comprises a visual blueprint editor, an intelligent runtime kernel and a double-track data architecture. The editor supports graphical hybrid modeling to generate a blueprint file; the kernel analyzes the blueprint to generate a running instance, and transmits data through a channel adaptation layer; the double-track architecture realizes global reading and local writing of data. The method is based on the system, and the protocol is executed by modeling, analyzing and generating examples and dynamically judging. According to the method, the conversion of protocol development from code programming to knowledge modeling is realized, and the problems of efficiency, flexibility and maintainability of a traditional technology path are effectively solved; the traditional coding development barrier is broken through, non-software professionals can complete protocol development through graphic configuration, and the protocol development difficulty and cost are reduced; the method supports cross-role cooperation and is suitable for industrial communication protocol development.

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 invention discloses a small sample remote sensing aircraft target detection method based on channel self-adaption. The method comprises the following steps: step 1, sorting and making a small sample remote sensing aircraft target detection data set, and labeling and classifying remote sensing aircraft targets by the target detection data set; 2, on the target detection data set constructed in the step 1, improving a TFA network to improve the detection adaptability of a remote sensing aircraft target, and inputting training set images divided by the target detection data set into the improved TFA network for training to obtain a preliminary target detection network model; and step 3, based on the preliminary target detection network model obtained in the step 2, optimizing model performance through parameter adjustment, obtaining an optimal target detection model, and realizing accurate detection of the small sample remote sensing aircraft target. The small sample remote sensing aircraft target detection algorithm based on the channel adaptive network and the distillation loss is used, the feature extraction capacity is enhanced, and therefore the small sample remote sensing aircraft target detection performance is improved.

The application discloses a kind of based on transfer learning's molecular communication channel adaptation method and device, method includes: using diffusion-advection-reaction equation as channel impulse response model, and constructs molecular communication system simulator;Collect original channel body temperature, target channel body temperature, and obtain original channel environment and target channel environment based on channel environment calculation model;Simulate original channel sequence and target channel sequence, obtain original channel dataset and target channel dataset;Domain alignment transfer learning model based on hybrid neural network is constructed, and based on original channel dataset, target channel dataset training transfer learning model, obtain the molecular communication symbol detection model of adaptation target channel, and carry out molecular communication under target channel based on molecular communication symbol detection model.The application is applied to molecular communication field, and channel adaptation of molecular communication can be quickly realized, which provides an effective way for solving symbol detection problem in resource-limited scene.

Certain aspects of the present disclosure provide techniques for simulating a receiver for link adaptation. A method for wireless communication by an apparatus includes obtaining a parameter of a UE receiver from a UE; determining a channel characteristic of a communication channel between the apparatus and the UE based on the measurement of the signal received from the UE; estimating, based on the digital representation of the UE receiver, a response of the UE receiver to communicate over the communication channel having the channel characteristics, wherein the digital representation of the UE receiver is based on the parameters of the UE receiver; determining at least one parameter for communicating with the UE over the communication channel based on the estimated response; transmitting an indication of the at least one parameter to the UE; and communicating with the UE according to the at least one parameter.

This invention discloses a method and system for estimating delay of Wi-Fi channel state information (CSI). The method includes: preprocessing collected multi-antenna CSI data to obtain a multi-antenna CSI matrix; constructing a joint Bayesian model for multiple antennas, extracting the principal path of each antenna and performing consistency detection, calculating the fused delay value, delay uncertainty, and channel anomaly identifier to form state features; employing a lightweight DQN combining depthwise separable convolution and fully connected layers, training the DQN through a multi-objective reward function, and outputting the optimal pilot configuration action; executing the optimal pilot configuration action and mapping it to pilot configuration parameters, generating and transmitting time-domain orthogonal multi-antenna pilot signals, and outputting a new CSI matrix; updating the network parameters of the multi-antenna Bayesian model and the lightweight DQN, and performing closed-loop optimization for dynamic channel adaptation. This invention effectively overcomes the impact of hardware errors on delay estimation by organically combining joint preprocessing of multi-antenna data with Bayesian estimation.

This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for physical random access channel (PRACH) adaptation for network energy saving (NES). A UE (102) receives (530), from a network entity (104), a configuration configuring at least one of a first set of PRACH resources associated with PRACH adaptation or a first set of synchronization signal blocks (SSBs) associated with SSB adaptation. The UE (102) transmits (544), to the network entity (104) based on the configuration, a PRACH transmission associated with a valid PRACH occasion (RO), the valid RO being mapped to an SSB.

The invention relates to the technical field of artificial intelligence and deep learning, in particular to a different-modal remote sensing image-oriented ice semantic segmentation method, which comprises the following steps of: identifying the channel number and the data type of an acquired remote sensing image, and performing corresponding normalization processing; inputting the normalized remote sensing image into a channel adaptation module for unified modeling, and obtaining a three-channel feature map through 3D convolution processing and 2D convolution processing; inputting the three-channel feature map into an encoder, firstly dividing the three-channel feature map into image blocks with fixed sizes, performing linear mapping to obtain a token sequence, adding position codes, and then enabling the token sequence to sequentially pass through a multi-layer self-attention unit and a feedforward network to extract global feature representation; and inputting the multi-scale features output by each layer of the encoder into a multi-layer feature aggregation decoder for decoding reconstruction, and finally outputting a semantic prediction map consistent with the remote sensing image in size, thereby realizing three-classification semantic segmentation of ice, water and land.