225results about How to "Reduce latency" patented technology

The invention relates to a cluster unmanned aerial vehicle communication method based on a multi-dimensional key encryption and decryption algorithm. The method comprises the following steps: acquiring unique identifiers of an unmanned aerial vehicle array and marshalling; extracting a single-user key of the unmanned aerial vehicle in the target group, and obtaining a key element by using a multi-dimensional key algorithm; generating an action instruction according to a preset coding rule, encrypting the action instruction, and combining the action configuration classification area to obtain a remote control instruction data packet; transmitting the remote control instruction data packet through a broadcasting mechanism, and receiving the remote control instruction data packet by the unmanned aerial vehicle through a monitoring mechanism; filtering and analyzing the received data packet to obtain a configuration data unit matched with the unmanned aerial vehicle marshalling; extracting a key element based on the configuration data unit, and calculating to obtain an original key; decrypting the action element encryption value to restore the action instruction, and executing the instruction after verification; the execution process of the action instruction is monitored in real time, and abnormal conditions are processed; the cluster unmanned aerial vehicle communication method using multi-dimensional key encryption and decryption is realized.

The invention discloses a speculative reasoning method for a multi-modal large language model based on mobile edge collaboration. The speculative reasoning method comprises the following steps: constructing an equipment-side double-clue probe model; task semantic distillation and feature alignment are carried out, joint optimization is carried out on double heads of a double-clue classifier, knowledge of an edge end MLLM is distilled to a double-clue probe model, and an equipment end minimum modal delay decision is executed; asynchronous mode screening and speculative reasoning are realized through a hierarchical gating network; and executing a rollback decision to obtain a corrected final reasoning result. According to the embodiment of the invention, a lightweight dual-clue probe model is constructed at a mobile client, task semantic features are extracted from the deep layer of an edge MLLM, joint estimation of reasoning confidence and modal sufficiency is realized, and a minimum modal delay decision of an equipment end is executed; a hierarchical gating mechanism is adopted at an edge end, a confusion-guided rollback mechanism is introduced, an early reasoning result with insufficient confidence is corrected, and early recognition and efficient reasoning of a minimum full subset in an asynchronous mode are achieved.

The invention belongs to the technical field of CAN bus communication, and provides a CAN bus transmission method based on multiple priorities, which performs dynamic priority setting, optimizes the bus bandwidth utilization rate in real time, improves the communication efficiency and ensures the transmission timeliness of key data based on the real-time bus load rate. According to the method, the temporary priority adjustment is carried out on the target message only by entering the temporary high-priority sending mode, and through temporary optimization improvement, it can be ensured that the key message preempts the bandwidth when the bus is congested, hardware resources are fully utilized, low time delay and high reliability of the key message are ensured, and meanwhile it is ensured that dynamic improvement does not endanger the highest-security-level message.

The application discloses a memory allocation method without locking among multiple cores, comprising the following steps: dividing the memory into multiple local memory pools according to the number of CPU cores, wherein the number of the local memory pools is the same as the number of the CPU cores, and each local memory pool corresponds to a different CPU core, and each CPU core does not need to be locked when applying for memory resources in the multiple local memory pools; if the required memory resources of a second CPU core are less than the memory resources in a second local memory pool, the second CPU core applies for the memory resources from the second local memory pool; otherwise, the second CPU core continues to execute; if the required memory resources of the second CPU core are greater than the memory resources in the second local memory pool corresponding to the second CPU core, the second CPU core applies for and uses the memory resources from a first local memory pool corresponding to a first CPU core through multiple shared buffers. The application further discloses corresponding devices, electronic equipment and computer readable storage media, wherein in most scenarios, each CPU core fully uses the memory resources, and the performance is optimal; when cross-core application is required, the memory allocation is realized through the shared buffer mode without locking.

The invention provides a discrimination method, a model training method and device, a discrimination system and a related product, and belongs to the technical field of artificial intelligence. The judgment method comprises the steps of calling a first judgment model to perform first judgment on a target agent based on target execution data under the condition that a judgment request for the target agent is received, and obtaining a first judgment result; under the condition that the first judgment result meets a preset screening condition, calling a second judgment model to perform second judgment on the target agent based on the target execution data to obtain a second judgment result; wherein the target execution data is execution data which is carried in the discrimination request and is used for representing that the target agent executes the target instruction, and the preset screening condition is used for determining whether to call a second discrimination model to discriminate the target agent again according to the confirmation degree of the first discrimination result. According to the embodiment of the invention, resource overhead and time delay can be reduced.

The invention particularly relates to an unmanned aerial vehicle cluster downloading data load balancing algorithm based on micro-service, which comprises the following steps of: replacing periodic synchronization by combining multi-round sampling and instant calculation, and ensuring that average response time can reflect the real-time state of the micro-service; and the optimal micro-service node is dynamically screened by monitoring the micro-service response state in real time, so that the efficient distribution of the data downloaded by the unmanned aerial vehicle in the micro-service cluster is realized. On the basis, a real-time response time decision and hot registration dynamic management are deeply combined, so that not only is the optimality of data distribution ensured through response time, but also the capacity expansion cost is reduced through hot registration. According to the invention, the technical problems of inaccurate response time perception, dependence on manual intervention on capacity expansion and shrinkage, long-term resource occupation of fault nodes and encumberment of overall data flow in a mass unmanned aerial vehicle data downloading scene in the existing load balancing scheme are solved; the method is suitable for scenes requiring massive unmanned aerial vehicle collaborative operation, such as regional emergency monitoring, large-scale training and urban air traffic management.

This invention discloses an optimized method, system, and storage medium for retrieving UE identifiers by an application. When the DCAF needs to obtain a UE identifier, the UDM simultaneously receives a first authentication request from the NEF (including an analysis ID and a first IP address) and a second authentication request from the AMF (including a subscription hidden identifier and a second IP address). Upon verifying that the first IP address and the second IP address are identical, the UDM converts the subscription hidden identifier into a subscription permanent identifier. After confirming successful UE authentication based on the subscription permanent identifier, the UDM returns authentication response information including the subscription permanent identifier and the analysis ID to the NEF. This allows the NEF to generate an external UE identifier in a preset format based on the subscription permanent identifier and send the external UE identifier to the DCAF. This invention improves response speed and reduces latency by sending requests to different network elements of the 5G core network.

The invention relates to a signal control circuit based on a transverse tandem photoelectric detection unit structure and a control method, and belongs to the field of photoelectric detection and control. The circuit comprises a transverse tandem detection unit structure and a post-stage signal processing circuit, wherein the post-stage signal processing circuit comprises a plurality of resistor units, a bipolar transistor and an MOS (Metal Oxide Semiconductor) tube; according to the method, an optical signal is converted into an electric signal through a transverse tandem type detection unit structure, and charge release and voltage signal output processing are carried out through a post-stage signal processing circuit. When light enters the transverse tandem type detection unit structure, the output tube is switched on; when no photo-generated current exists, the output tube is switched off; and the output tube can output a voltage control signal meeting the amplitude requirement when being switched on or switched off so as to control the working state of a rear-end circuit. By combining the photoelectric detection unit and the signal processing circuit, monolithic integration and process fusion of the silicon-on-insulator process are realized, the parasitic effect between elements can be effectively reduced, and the interconnection scheme of discrete devices is upgraded.

A method for facilitating playing a legacy game is described. The method includes receiving user input during the playing of the legacy game, determining whether one or more code blocks for servicing the user input are cached, and accessing one or more instructions of legacy game code upon determining that the one or more code blocks are not cached. The method also includes compiling the one or more code blocks from the one or more instructions of the legacy game code, caching the one or more code blocks, and executing the one or more code blocks to display a virtual environment.

This invention proposes a hysteresis compensation control method for high-speed switching valves based on PWM, belonging to the field of high-speed switching valve control. Its key feature is that the working cycle of the high-speed switching valve is divided into four stages. The rising and falling edges of the reference PWM control the opening and closing times of the high-speed switching valve, while the loading signal consists of on-compensation PWM, excitation PWM, opening-hold PWM, and closing compensation PWM. By varying the pressure before the valve, the critical voltage values ​​for opening and closing the valve core are obtained, thereby controlling the amplitudes of the on-compensation PWM and opening-hold PWM to reduce the hysteresis time and current consumption of the valve core response. The duty cycle of the excitation PWM is determined by the derivative of the pressure before the valve, and the duty cycles of the on-compensation PWM and closing compensation PWM are obtained based on the coil current, accelerating the valve core response speed and optimizing current consumption. This invention can improve the response speed of high-speed switching valves, reduce energy consumption, and expand the frequency response range, offering advantages such as high response, low power consumption, low cost, and small footprint.

The application provides a kind of collaborative congestion control method based on attention-driven multi-path TCP sub-flow dependency modeling, MPTCP connection is established by sending end and receiving end;Subflow running data is read from MPTCP protocol stack by state monitoring module;Each subflow feature of the normalized state matrix input is weighted and fused by using self-attention layer;Action vector A is generated by Actor network t , and the effective congestion window of each subflow is used as the available sending window constraint when sending data;Action value Q is generated by Critic network;Reward R is calculated by reward calculation module t ;Form collaborative congestion control model;Realize online adaptive control;This method can realize unified decision and collaborative control of multiple subflows, can realize collaborative consistency of congestion control effect and scheduling result, and can improve the stability and comprehensive performance of multi-path transmission.

The application discloses a channel estimation method and device, electronic equipment, storage medium and program, and applies to the field of wireless communication, and the method comprises the steps of adding a window function on the basis of a pilot signal and a received signal of an obtained target channel, constructing a windowed channel estimation model, determining a posterior distribution probability density function of a channel estimation parameter in the windowed channel estimation model, obtaining an auxiliary manifold and a target manifold which are approximate to a nonlinear term in the posterior distribution probability density function, determining an auxiliary manifold parameter, generating a target manifold parameter based on the auxiliary manifold parameter, and generating a channel estimation parameter of the target channel based on the target manifold parameter. The embodiment of the application can reduce the calculation complexity of the channel estimation process, improve the channel estimation efficiency, reduce the signal transmission delay, and enhance the user experience.

The present disclosure relates to a data transmission method, device, equipment and storage medium, the method comprising: obtaining attribute information of a target service in a service cluster, the service type of the target service being a node port type, the attribute information comprising identification information and port information; sending the attribute information of the target service to a control plane, so that the control plane generates configuration information based on the attribute information, and sends the configuration information to a service mesh, the configuration information being used to cause the service mesh to configure an address translator after receiving the configuration information, so that the address translator forwards a target data packet sent by an external device when accessing the target service to the service mesh. The present disclosure configures the address translator by collecting the information of the node port service, so that the data packet sent by the external device reaches the cluster inside without passing through the gateway server, shortens the processing flow, and reduces the data transmission delay.

Provided are a time delay state reporting method, device, apparatus and storage medium, applied to user equipment (UE), the method comprising: generating a time delay state report (DSR) carrying measurement information; the measurement information is measurement information in residual time delay of data transmission of the UE; and sending the DSR to network side equipment. According to the embodiment of the invention, the purpose of feeding back the measurement information to the network side equipment is realized, so that the network side equipment can obtain relatively accurate measurement information.

The invention discloses an unmanned vehicle cloud edge collaborative dynamic scheduling optimization method and system, and relates to the technical field of unmanned vehicle scheduling, and the method comprises the steps: receiving unmanned vehicle physical information, historical task information, an unmanned vehicle real-time state and an edge node real-time state; integrating the physical information of the unmanned vehicle, the real-time state of the unmanned vehicle and the real-time state of the edge node to generate a dynamic parameter library; the historical tasks are classified based on the historical task information and a dynamic parameter library, task classification results are obtained, and the task classification results comprise light-weight tasks, medium-weight tasks and weight tasks; inputting the dynamic parameter library and the task classification result into a pre-established fission mixed variation crayfish optimization algorithm model, and outputting to obtain a global optimal scheduling scheme by taking the minimization of the weighted sum of the total time delay and the total energy consumption of the system as a target; wherein the global optimal scheduling scheme comprises an unmanned vehicle track adjustment instruction, a task unloading path allocation result and a cloud side resource allocation proportion.

This application discloses a method, apparatus, device, and medium for multi-person voice communication in a live streaming room. The method includes: establishing a direct communication link with viewer nodes corresponding to the direct connection node information broadcast by a media server; when the number of forwards of the broadcaster's voice audio data and the uplink bandwidth meet corresponding preset conditions, comparing the direct connection latency of one or more voice viewer nodes that have established direct communication links with the media server latency, and determining the voice viewer nodes whose direct connection latency does not exceed the media server latency; determining the direct connection transmission capability of each voice viewer node based on the direct connection transmission characteristic information obtained through the direct connection communication links of each voice viewer node, and transmitting the broadcaster's voice audio data with the voice viewer node with the better direct connection transmission capability through the direct communication link. This application pushes the broadcaster's voice audio through a direct communication network, reducing voice latency in multi-person voice live streaming rooms and improving the user's live streaming voice experience.

The application discloses a routing forwarding decision method for a heterogeneous spacecraft cluster, an electronic device and a medium. On a node with a task forwarding requirement, the next hop of task forwarding in the heterogeneous spacecraft cluster is determined according to a self node embedding, a neighbor node embedding, an inter-neighbor edge feature, an inter-neighbor edge type and a service feature of the node, wherein the self node embedding and the neighbor node embedding are updated once every first specified time interval. The routing forwarding decision method retains the coupling relationship between laser topology control and service routing forwarding, and can learn an OODA service flow forwarding strategy with high completion, low delay and energy friendliness under different laser topology conditions.

The invention relates to the technical field of communication, and particularly provides an uplink and downlink resource joint scheduling method, a terminal, network equipment, a storage medium and a product. The uplink and downlink resource joint scheduling method can be applied to a terminal, and comprises the following steps: sending first indication information to network equipment, the first indication information being used for indicating a service type of the terminal; receiving second indication information sent by the network equipment, wherein the second indication information is used for indicating the network equipment to configure a periodic first uplink resource and association information of uplink and downlink resources for the terminal according to the service type of the terminal; and determining a first downlink resource according to the association information of the first uplink resource and the uplink and downlink resources. The uplink resource is periodically configured, and under the condition that the uplink resource is determined, the downlink resource can be flexibly configured through the associated information, so that authorization-free scheduling of the uplink resource and the downlink resource is realized, unnecessary signaling overhead and time delay are reduced, and the low-delay transmission requirement of a related network is effectively met.

The invention relates to the technical field of 5G communication modules, in particular to a security key management system and method based on a 5G communication module, a master key is generated after the 5G communication module and a network side complete mutual authentication, and the master key is safely isolated and stored as a trust basis of the whole system; according to service requirements, dynamically generating and managing multi-level sub-keys, and providing independent encryption and integrity protection for different functional domains; a sub-key is generated only when a real use scene is triggered, and a short-term caching and automatic expiration strategy is adopted, so that the security and the performance are both considered; performing encryption and integrity verification on all signaling and data streams by using the corresponding sub-keys; in a network switching or cell switching scene, pre-generating and quickly switching to a new key; according to the method, module operation and energy consumption overhead are greatly reduced through on-demand derivation and second-level expired caching strategies, non-inductive cell switching is achieved through a switching forecast pre-derivation and double-buffering atom switching mechanism, and time delay is remarkably shortened.

The invention relates to the technical field of edge computing and automatic optimization algorithms, and discloses a multi-edge computing task unloading and scheduling hierarchical automatic optimization method based on large language model driving, which comprises the following steps: S1, constructing a computing system, acquiring task data and edge server data to form a data set, dividing the data set into a training set, an optimization set and a verification set; and S2, constructing a joint task unloading and scheduling optimization model taking the total completion time delay of the system as an optimization target, taking minimization of the total completion time delay of the system as an optimization target function, and taking the total completion time delay of the system obtained by the joint task unloading and scheduling optimization model as a fitness value. According to the method, efficient and automatic optimization of task unloading and scheduling problems in the multi-edge computing environment is achieved, the intelligent level and generalization ability of a computing system are improved through an algorithm evolution mechanism driven by a large language model, and the method has important theoretical significance and wide engineering application prospects.

The invention provides a communication method and device, a terminal, a chip and a storage medium, and relates to the field of communication, and the method comprises the steps: receiving DCI signaling sent by network equipment; wherein the DCI signaling comprises configuration information used for the BWP switching; responding to the terminal to execute the random access process, and determining a random access scene to which the random access process belongs; an arbitration operation is performed based on the random access scenario to select at least one of the following behaviors: performing a BWP handover, discarding the BWP handover, discarding the random access procedure, performing the random access procedure, and delaying the execution of the random access procedure. Therefore, the terminal can autonomously select to execute the BWP switching, discard the BWP switching, discard the random access process, continue to execute the random access process or delay to execute the random access process according to real-time service requirements, network states and the like, the resource allocation efficiency can be optimized, and the adaptability of the terminal to diversified service scenes is enhanced.

This application provides a data transmission method, a network interface card (NIC) for a data receiving end, an electronic device, and a storage medium. The data transmission method is applied to the NIC of the data receiving end. The NIC writes data to the host memory of the data receiving end via a bus. The data transmission method includes: if the bus bandwidth resources required for the NIC to write the target data to the host memory exceed the bus bandwidth resources available to the NIC, then writing a portion of the target data to the NIC's NIC buffer; the NIC buffer includes a first memory buffer configured for the NIC based on its on-chip memory and a second memory buffer configured for the NIC based on its onboard memory; the data sending end sends the target data to the data receiving end via remote direct memory access; and a portion of the data is written from the NIC buffer to the host memory. The solution of this application can better avoid data packet loss problems when facing sudden traffic surges.

The invention relates to the technical field of wireless communication, in particular to a data transmission method and device, electronic equipment and a computer program product. The method comprises: sending a first message, the first message comprising first passive Internet of Things signaling response information, and the first passive Internet of Things signaling response information being transmitted based on packet data related resources. According to the invention, the intermediate device uses the packet data transmission under the passive Internet of Things architecture, so that the intermediate device can be always in the radio resource control inactive state and transmit the passive Internet of Things related data, thereby reducing the time delay caused by the radio resource control state conversion, and reducing the signaling overhead and power consumption.

The embodiment of the application discloses an asynchronous clock domain data read-write method and a first-in-first-out cache system, relates to the technical field of integrated circuits, and is invented to reduce the read-write data delay between asynchronous clock domains. The method comprises the following steps: writing to-be-written data into a write address; using the rising edge and the falling edge of a write clock of a write clock domain to sample the write address respectively, so as to obtain a rising edge address corresponding to the rising edge of the write clock and a falling edge address corresponding to the falling edge of the write clock; determining a to-be-synchronized address according to a predicted phase value, the rising edge address and the falling edge address; the predicted phase value is determined according to the phase difference between the write clock and a read clock in the mth write clock period; taking the to-be-synchronized address as the input of a first flip-flop, sampling the to-be-synchronized address through the read clock, and obtaining a synchronized address synchronized to the read clock domain; and reading the data in the first-in-first-out memory based on the synchronized address. The application is suitable for transmitting data.

The application relates to a network message packet capturing method and belongs to the technical field of communication. The method can facilitate a developer to process special network messages in a user state, can process common network protocol messages by using an operating system network protocol stack, is easy to debug a program, reduces the development cost of special network equipment, and shortens a project cycle. Therefore, the application program packet capturing method has the characteristics of high efficiency, low time delay, self-controllability and the like, and can fully utilize the network protocol stack of the operating system to process some common messages. The method is suitable for being applied to various network equipment and has a good market prospect.

The present invention relates to a performance system comprising: a control console that generates at least one light control signal including data of light-related operations defined according to the performance scene, and transmits it to at least one communication device; at least one communication device that transmits the light control signal received from the control console; and at least one light-emitting device that identifies a light control signal including pre-set identification information of the communication device from the transmitted light control signal, and executes the light-related operations defined in the data within the identified light control signal.

The application relates to an active cache routing method and system of a satellite content distribution network, the satellite content distribution network comprising at least one satellite node. The method comprises: extracting first semantic information features of distributed content and second semantic information features of historical popular content by using a deep learning model; calculating semantic similarity between the first semantic information features and the second semantic information features; calculating a satellite semantic cache priority value of a satellite node corresponding to the distributed content according to the semantic similarity; and planning an active cache routing path of the distributed content according to the satellite semantic cache priority value of each satellite node. The application can enable the satellite to automatically make a cache decision of the distributed content in the content distribution process, and improve the efficiency of active cache by combining content distribution and cache deployment.

The application discloses a multi-line rotating casting blank number character recognition method and device based on direction modeling and Transformer decoding, and relates to the technical field of artificial intelligence and computer vision. The method comprises the following steps: acquiring a single casting blank section image to be recognized and performing pretreatment to obtain a processed image; inputting the processed image into a multi-scale visual Transformer encoder to obtain a multi-scale feature map set; performing detection through an Anchor-free rotating character detection head to output a character candidate set; calculating absolute orientation information of the characters by using a direction distribution prediction head to construct a final character set; predicting a directed sequential relationship between character nodes by using a graph attention network to output a multi-line reading order; obtaining a visual token sequence arranged in a real reading order according to the multi-line reading order and inputting the visual token sequence into a pre-trained Transformer language decoding model to generate a complete casting blank number character sequence in a self-recurrence mode. The application can reduce the error rate of character recognition.

The present disclosure provides a visual imaging and recognition device, which can be applied to the field of image processing technology. The device comprises: an imaging sensor for acquiring two-dimensional image information and three-dimensional depth information of a target object; a signal shaping and coding module for signal shaping and coding the two-dimensional image information and the three-dimensional depth information to obtain target two-dimensional image information and target three-dimensional depth information; a processing module for processing and recognizing the target two-dimensional image information and the target three-dimensional depth information to generate a recognition result; an output module for signal synchronous buffering and outputting the recognition result; and a programmable microcontroller for providing synchronous control signals to the imaging sensor, the signal shaping and coding module, the processing module and the output module to control the synchronous and coordinated operation of the device. The device can naturally imitate the working mechanism of the human brain visual system and has the advantages of high performance and low power consumption.

The application relates to a kind of star-ground cooperative resource scheduling methods, comprising: satellite side receives terminal uplink data packet and analysis, adopts dynamic sliding window to extract physical layer feature and service layer key field, runs quantized compression isolated forest model, generates exception event label and is associated with original data packet after, as observation data is downloaded to ground side;Ground side receives observation data, combines historical data to form multi-star joint observation data, constructs space-time cubic grid, based on space-time cubic grid, carries out space-time correlation analysis to multi-star joint observation data, calculates the space-time correlation coefficient of abnormal event time sequence and spatial aggregation degree sequence, when space-time correlation coefficient matches preset threshold value, identify event type and generate structured alarm;According to event type, generate adaptive scheduling strategy, upload scheduling strategy instruction to satellite through ground side and satellite's instruction upload link, and resource allocation is executed according to scheduling strategy by satellite when overtop.