1290 results about "Small data" patented technology

The invention provides a multilevel caching method and system based on CAN bus communication, and is applied to the field of data transmission. According to the method, the influence coefficient of the CAN bus is obtained by presetting load scenes (idle, low load and high load), whether the influence coefficient is limited by hardware is judged, the optimization direction is ensured to be accurate, data cache management is performed by adopting an annular buffer area, and the data transmission interval is dynamically adjusted and the data packaging strategy is optimized (small data merging, data alignment and filling byte reduction), so that the data transmission efficiency is improved. The CAN ID priority is dynamically adjusted by collecting communication data category information, it is ensured that high-priority data (such as ECU control signals) are transmitted in time, bandwidth occupation of low-priority data is reduced, in addition, the processing response speed of data frames is monitored, and if the processing response speed does not reach the standard, the data sending frequency is optimized, and the real-time performance is improved.

The invention relates to a dynamic adjust gyroscope life forecasting method based on gray model. By data collection of vibration effective value, random drift and environmental temperature parameter which are preprocessed using radial neural networks, influence of environmental temperature on vibration effective value and random drift is eliminated and random drift and effective value just related to time are obtained by subtracting drift constant value term, then trend term of vibration effective value and random drift are extracted by using wavelet transformation and gray model are built separately for their trend term. The smaller data in two values of life predicted of dynamic adjust gyroscope unless two predicted values exceeding performance parameter limitation when dynamic adjust gyroscope is considered losing effect. The invention uses performance parameter of life probative period of product to predict its life, showing discipline of performance parameter and life of dynamic adjust gyroscope. It is easy and convenient economical and reliable.

A method for small data transmission (SDT) in a power saving state and related devices are provided. The method, performed by a user equipment (UE), includes receiving a SDT configuration in a radio resource control (RRC) signaling; monitoring a downlink (DL) signaling including a mobile terminated (MT) indication in a physical downlink control channel (PDCCH) or paging occasion in the power saving state; and upon reception of the MT indication, receiving DL small data on an associated radio resource based on the SDT configuration without radio resource control (RRC) state transition. With this method, support with MT traffic transmission in the power saving state is realized.

A method of managing configuration information for SDT operation is performed by a first RAN node. The method includes receiving an RRC message from a UE, receiving, from a second RAN node and during a handover procedure from the second RAN node to the first RAN node, an SDT configuration for use by a UE when the UE is operating in an RRC inactive state, and, after the handover procedure, communicating with the UE operating in the RRC inactive state based on a UE context of the UE.

The invention discloses a self-adaptive octree three-dimensional magnetic method inversion method fused with abnormal region recognition, and belongs to the technical field of three-dimensional magnetic method data inversion processing. Comprising the steps that initial inversion is rapidly completed on a coarse grid, the overall contour of an underground structure is obtained, a fuzzy c-means clustering algorithm is introduced, and a target area with significant magnetic anomaly is automatically extracted from a coarse solution; and constructing a multi-level octree grid in the extracted abnormal region to realize fine subdivision of the complex geological boundary, and further executing high-precision inversion by using a fine model as a new starting point. The adaptive octree grid has the characteristics of high efficiency, small grid number and small data fitting difference. The process of coarse inversion, intelligent identification, local refinement and fine inversion can be circularly executed as required, and computing resources are dynamically allocated. Compared with a traditional global fine grid scheme, the inversion process has the advantages that the inversion precision is maintained and even improved, and meanwhile, the number of grid units is remarkably reduced.

Methods and apparatuses for MT SDT are disclosed. A terminal device comprises a processor; and a transceiver coupled to the processor, wherein the processor is configured to receive, via the transceiver upon the terminal device being in an Radio Resource Control (RRC) non-CONNECTED state with a network device, a message for Mobile Terminating (MT) Small Data Transmission (SDT) from the network device; and determine a DL data receiving procedure for MT SDT according to the message for MT SDT.

Various aspects of the present disclosure relate to a user equipment (UE) that detects, while in a radio resource control inactive state and optionally while in a small data transmission session, that beam information is to be reported to a base station. This detection is performed based on some criteria, such as the current (serving) downlink beam quality dropping below a threshold amount. In response to detecting that beam information is to be reported to the base station, the UE initiates a random access procedure in order to provide the beam information (e.g., one or more candidate beams to switch to) to the base station. This beam information notifies the base station to change to a new serving beam due to, for example, the quality of the current serving beam dropping because of movement of the UE, blockages between the UE and the base station, and so forth.

The invention relates to the technical field of ecological environment monitoring, and discloses a regional ecological environment monitoring method and system based on remote sensing image processing, and the method comprises the following steps: collecting remote sensing image data and climate factor data of a target region; performing spatial gridding and standardization processing on the data; establishing a nonlinear regression model to analyze a relation between climate factors and vegetation indexes; extracting spatio-temporal topological characteristics of the climate factor data and identifying a change mode; long-term prediction of regional vegetation productivity is carried out through time sequence model training; the regional ecological environment is analyzed and evaluated based on the prediction result, and a scientific basis is provided for ecological environment monitoring; the system comprises a data acquisition module, a data processing module, a nonlinear regression modeling module, a spatio-temporal topology analysis module, a time sequence prediction module and an ecological evaluation module. According to the method, the problems of small data coverage, low prediction precision and insufficient capture of nonlinear influence of climate change in the existing method are solved.

An access network device receives first information from an access and mobility management function network element. The first information carries a data size of downlink data of a terminal device buffered in a user plane function network element or a session management function network element, the terminal device is in an inactive state, and an extended discontinuous reception cycle is configured by the access network device for the terminal device. The access network device determines, based on the data size of the downlink data, that the downlink data is small data. The access network device sends a first indication to the terminal device, to indicate the terminal device to perform small data transmission, and a second indication to the user plane function network element, to indicate the user plane function network element to send the small data to the access network device.

The invention relates to the technical field of data processing, and discloses a coal mining strategy analysis method and system based on coal mine gas concentration. The method comprises the steps of collecting gas concentration data through an intelligent track inspection device, performing data correction in combination with coal seam parameters to obtain concentration dynamic distribution data, performing multi-dimensional analysis based on the concentration dynamic distribution data to generate a risk thermodynamic diagram, determining differentiated mining parameters according to risk assessment, optimizing ventilation parameters through air volume regulation and control, and obtaining a risk analysis result. And finally, correlation analysis is carried out on each parameter to obtain a mining strategy scheme. The intelligent track inspection device collects gas concentration data and is matched with the sweeping assembly and the blowing assembly to keep the track clean, the detection range is expanded through reciprocating motion of the detection probe, and differential mining process parameters and ventilation regulation and control strategies are formulated in combination with multi-dimensional data analysis; the technical problems of small detection range, insufficient data analysis and unreasonable mining strategy in the prior art are solved.

The invention discloses a low-temperature environment LNG (Liquefied Natural Gas) metering sensor drift compensation method and system, and particularly relates to the technical field of sensor drift compensation. Output data of a sensor are collected and processed, and a temperature compensation model of the sensor is established; in the working temperature range, digital filtering processing is carried out on data of displacement change of each measuring range point, and then analysis and mining are carried out; a data longitudinal interval in a temperature range is refined by using a table look-up method, so that the data interval is reduced. And calculating the G value according to the residual error obtained by the table look-up method and the numerical value change condition in each temperature section. If the G value is greater than a preset threshold value of the system, selecting a proper fitting method, such as a least square method or Legendre orthogonal polynomial fitting, according to the distribution of the G value and the data interval when curve fitting is used, so as to further optimize the temperature compensation model; and if the G value is smaller than the system preset threshold value, no subsequent operation is carried out.

Methods and apparatuses for handling of data transmission in DL small data transmission (SDT) are disclosed. A network device comprises a processor, and a transceiver coupled to the processor, wherein the processor is configured to: transmit, via the transceiver, DL data during DL SDT to a terminal device that supports an Radio Resource Control (RRC) non-CONNECTED state; determine that the connection with the terminal device is lost before the DL SDT successfully completes; and transmit, via the transceiver, an indication to the terminal device or other network device(s) or a core network device, for completing the DL SDT.

The disclosure relates to a user equipment (UE), a network node, and respective methods for a UE and a network node. The UE comprises a transceiver and circuitry. The circuitry in operation receives a paging message, while being in an inactive state. In response to the paging message, the circuitry determines to remain in the inactive state for reception of small data. While remaining in the inactive state, the circuitry transmits a response to the paging message to a network node within a transmission opportunity associated with pre-configured resources.

The invention provides an RDMA (Remote Direct Memory Access) network transmission packet loss recovery method and system. The method comprises the following steps: a sending end determines that a data stream to be transmitted is a larger or smaller data stream based on a multiple of a bandwidth delay product of an RDMA network; performing redundant coding and code marking on the smaller data stream, generating a data stream carrying a code mark and a redundant data packet, and transmitting the data stream to a receiving end; dividing a larger data stream into a non-tail BDP part and a tail BDP part based on the multiple of the bandwidth delay product, performing redundant coding and coding marking on the tail BDP part, and generating the tail BDP part carrying a coding mark and a redundant data packet; and transmitting a data stream formed by the non-tail BDP part and the tail BDP part carrying the coding mark and the redundant data packet to a receiving end, so that the receiving end carries out packet loss and coding mark detection on the received data stream, and if the packet loss and the coding mark exist, the lost data packet is recovered based on the carried redundant data packet. And if there is packet loss and there is no coding mark, requesting the sending end to select to retransmit and recover the lost data packet.

The invention belongs to the technical field of industrial automation, and discloses an optimization application method and device for an OPC UA protocol in the industrial automation field, and the method comprises the steps: obtaining the multi-dimensional context information of an industrial site, analyzing the future communication demands and behavior trends of a target OPC UA node through a preset prediction model, obtaining predictive behavior features, and carrying out the optimization application of the OPC UA protocol. And according to the predictive behavior characteristics and the current context information, an OPC UA communication optimization strategy is dynamically generated and adjusted, the OPC UA communication optimization strategy comprises a data sampling period, a release interval, a message queue size, a data coding mode and a security strategy level, and the optimization strategy is applied to a communication session between an OPC UA server and a client. According to the method, OPC UA communication parameters are dynamically optimized through intelligent perception and predictive analysis, the data transmission efficiency can be remarkably improved, the system resource consumption is reduced, the real-time performance and reliability of communication are enhanced, and the method is particularly suitable for a complex and dynamic industrial automation environment.

The invention provides a model training method and device, equipment and a storage medium, and relates to the technical field of computers, in particular to the technical field of neural network models and model training. The specific implementation scheme is as follows: a calculation unit executes quantization matrix multiplication based on Hadamard pre-transformation on an activation tensor and a weight tensor of a target model stored in a memory so as to generate an output tensor of a linear layer based on a low-precision tensor with smaller data bit width; using the output tensor and a subsequent network layer of the target model to complete forward propagation so as to obtain a loss value; and according to the loss value, updating model parameters of the target model stored in a memory through a back propagation algorithm. By means of the technical scheme, on the premise that the model training precision is guaranteed, memory resource occupation and the calculation amount in the calculation process can be remarkably reduced, and the training cost is reduced.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may be configured to receive, from a base station, control signaling identifying a first set of resources for data transmissions and a second set of resources for uplink control information (UCI) transmission by the UE when the UE is in an inactive state or an idle state. The UE may generate, when the UE is in one of the inactive state or the idle state, a UCI message based on the second set of resources. The UE may then transmit, to the base station when the UE in the one of the inactive state or the idle state, a data message on at least a portion of the first set of resources and the UCI message on the second set of resources.

Apparatus and method for failure reporting are provided. Solution including determining by a terminal device a failure in selecting small data transmission procedure for an uplink transmission; and transmitting to a network device, of a report including a small data transmission procedure type that the terminal device fails to select, and a reason for the small data transmission procedure selection failure.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit uplink data to a base station in a configured grant small data transfer (CG-SDT) occasion in a CG-SDT occasion group associated with multiple UEs. The UE may receive a group common physical downlink control channel (GC-PDCCH) multiplexing CG-SDT feedback targeted to the multiple UEs associated with the CG-SDT occasion group. In some aspects, the CG-SDT feedback multiplexed in the GC-PDCCH includes CG-SDT feedback for the uplink data transmitted in the CG-SDT occasion. Numerous other aspects are provided.

The invention discloses a forest resource investigation method based on a laser radar and visible light synchronous photography technology, and belongs to the technical field of forestry. The method comprises the following steps: selecting a forest stand to be measured, and setting a scanning route; scanning the forest stand by using a laser radar and visible light synchronous photography technology; in the forest stand model, directly identifying tree species, and counting forest stand density; exporting point cloud data, performing individual tree segmentation according to a forest tree sequence, and generating DBH data and position coordinate data in batches; calculating the stand volume and tree species composition of the forest stand; determining a space structure of the forest stand according to the diameter at breast height data and the position coordinate data of the forest, and calculating a competition index of each tree; and linking the database with the forest stand model, establishing an augmented reality forest stand model, and realizing visualization of the forest resource data model. According to the method, the three-dimensional visual model of the forest stand can be established, the tree species can be directly identified, the forest resource survey data can be obtained through calculation, the survey efficiency is high, the cost is low, the data storage amount is small, and the later data processing difficulty is low.

The invention relates to the technical field of information, in particular to a method and system for accurately controlling friction force of a support rotating shaft in the design field of the support rotating shaft, and the method comprises the steps: obtaining the rotating frequency and load size data of the support rotating shaft under different postures as the basis of subsequent analysis; according to the change trend of the wear degree, establishing a mapping relation between the geometrical shape and a friction force value, and fitting a mapping function through geometrical characteristics and friction force experiment data; a multi-objective optimization algorithm is adopted, material performance and a surface treatment process are combined, an optimal parameter combination of the geometrical shape is solved, and an objective function is friction force uniformity and wear rate minimization; generating a rotating shaft geometric structure with uniformly distributed friction force values through the optimal parameter combination, and ensuring that geometric characteristics meet preset friction force and wear requirements; according to the control model and the constraint conditions, the optimal friction value range of the rotating shaft under different working conditions is calculated, and it is ensured that the friction value is within a preset threshold value.

A base station central unit receives, from a base station distributed unit, assistance information indicating whether subsequent data is expected for a small data transmission (SDT) procedure of a wireless device. The base station central unit transmits a radio resource control (RRC) release message to the wireless device based on the assistance information.

A method for small data transmission (SDT) and related device are provided. In the method, a configured grant (CG) configuration for SDT, from a base station (BS), is received. A synchronization signal / physical broadcast channel block (SSB) set, from the BS, is received. A mapping ratio configuration, from the BS, is received. The mapping ratio configuration indicates a number of SSBs per CG resource, the SSBs are configured by the SSB set, and the CG resource is configured by the CG configuration for SDT. A mapping between SSB indexes of the SSBs and the CG resource is determined based on the mapping ratio configuration and an increasing order of indexes of the CG resource.

Computer implemented methods, systems, and computer program products include program code executing on a processor(s) identifies a query with low performance. The program code generates a small data environment for use in optimizing the query. The program code identifies table(s) and field(s) related to the query with low performance. The program code samples a portion of each table of the one or more tables based on, for each table, parameters of the one or more fields in each table, where the portion sampled comprises records from each table with common data traits to a whole of each table. The program code generates a small data environment comprising the portion of each table. The program code performance tests an optimized version of the query by executing it on the small data environment.

The invention discloses a network abnormal traffic analysis method, which comprises the following steps: acquiring historical network traffic data, including traffic size data at a plurality of moments in a historical period; performing clustering analysis on the historical network traffic data to obtain a plurality of type clusters; for the updated type cluster, calculating an average value of traffic size data contained in each type cluster in a historical period, and taking the average value as a traffic size threshold value B of the type cluster; monitoring network traffic data in real time, distributing new traffic data to corresponding type clusters according to the types of the new traffic data, judging whether the size of the new traffic data exceeds a traffic size threshold B of the corresponding type clusters, if so, giving out an early warning, and if not, calculating a new average value of the traffic size data; and if the change amplitude of the new average value exceeds a first preset amplitude threshold value C1, updating the new average value to be a traffic size threshold value B of the corresponding type cluster. According to the invention, the monitoring quality and monitoring efficiency of the abnormal condition of the network flow data can be improved.

A method is performed by a user equipment. The method comprises logging information related to a small-data transmissions procedure performed by the user equipment in a report. The method further comprises transmitting the report to a network node.

A WTRU operating in an inactive state may be associated with a first cell. The WTRU may be configured to receive configuration information for a time period associated with small data transmission failure detection and a search space associated with small data transmission. The WTRU may be configured to send a first small data transmission and start the time period. The WTRU may be configured to monitor for a downlink transmission in the search space during the time period. If a condition for cell reselection is satisfied during the time period or the restarted time period, the WTRU may be configured to suspend a data radio bearer (DRB) associated with small data transmission, select a second cell, perform a random access procedure associated with the second cell, and send a small data transmission. The random access procedure may include sending a request to resume a radio resource control (RRC) connection.

The invention discloses a spatio-temporal data visualization index management and application method, and belongs to the field of spatio-temporal data statistical analysis processing. Analyzing a time-space visualization service scene, and determining a statistical calculation rule of the time-space index data; a statistical calculation rule of spatio-temporal index data is configured through a visual interface, structured configuration is generated and stored in a standardized configuration table, an ETL process is automatically generated after the system analyzes the configuration to realize data statistics and circulation, and automatic calculation and timing calculation are supported; the method comprises the following steps: designing a hybrid storage architecture of a standardized index data statistical result, and adopting a relational database and data warehouse dual-mode storage strategy: storing original data and statistical results with small data volume by adopting a relational database; for mass data, the mass data are synchronized to a data warehouse through an ETL process, distributed calculation analysis is executed on a warehouse layer based on index configuration, and an analysis result is persistently stored in a column storage format; transparent access to a heterogeneous storage bottom layer is achieved by constructing a unified access interface layer.

Wireless communication is performed by: receiving downlink control information including by a user equipment in an inactive state, a cyclic redundancy check scrambled by a radio network with at least one base-station with paging-Radio Network Temporary Identifier at least one user equipment, user equipment monitors paging message in inactive state and uses paging-Radio Network Temporary Identifier to decode reception of paging message, wherein the user equipment receives more than one random-access channel resources from the network and the indication of Small Data transmission and user equipment selects the random-access channel resources.

The invention belongs to the technical field of digital monitoring, and provides a three-party environmental protection management system and method suitable for an industrial park, environmental protection monitoring equipment is utilized to collect monitoring data in the park in real time, a blockchain network based on an alliance chain is established, Hash processing is performed before all monitoring data are transmitted, Hash values are recorded to the blockchain, and the monitoring data are stored in the blockchain. A secure transmission protocol and an encryption technology are adopted, the security and integrity of monitoring data in the transmission process are optimized, a large monitoring data block is divided into a plurality of small data fragments at a sending end to be transmitted, and a unique identifier and verification information are added to each monitoring data fragment. Verifying the integrity of each monitoring data fragment through verification information at a receiving end, reassembling the monitoring data, processing and analyzing the collected monitoring data by using the edge computing node, generating a monitoring data abstract, processing the monitoring data processed and analyzed by the edge computing node by using the cloud computing node, and sending the monitoring data abstract to the cloud computing node. And verifying the integrity of the monitoring data.