54results about How to "Improve latency" patented technology

The invention belongs to the technical field of extensible computer architecture, and particularly relates to a two-level cache coherence protocol based on a many-core computing architecture. Comprising a many-core computing architecture, the many-core computing architecture comprises a plurality of computing clusters, each computing cluster is formed by interconnection of a plurality of core grains and an I / O and memory controller, and the I / O and memory controller is interconnected with at least two memory DDRs; each core particle is formed by interconnection of a plurality of computing cores and a shared cache LLC; each calculation core is provided with a private cache, and when the data is not in the private cache, the memory access request continues to go to the next-level shared cache LLC or the memory DDR until the latest data is obtained; the shared cache LLC can access the memory DDR only after the shared cache LLC is in butt joint with the memory controller through high-speed interconnection and I / O; and the two-level cache consistency protocol directory is composed of a first-level directory and a second-level directory. According to the invention, the delay of re-reading from the storage system is omitted, the performance is further improved, and the congestion at the storage position is reduced.

The invention relates to a block chain-based power Internet of Things terminal security access method and system. The method comprises the following steps of S1, dividing a virtual local area network; s2, deploying an SDN controller to manage and control network traffic; s3, performing decentralized identity recognition by using a block chain, and executing an automatic identity authentication process by using a smart contract; s4, carrying out preliminary identity verification based on the certificate, and carrying out secondary authentication in combination with the biological characteristics and the position information of the Internet of Things equipment; s5, performing uplink according to the critical degree, generating a unique fingerprint of the data by using a hash function, and storing the unique fingerprint in a block chain to ensure data integrity and prevent tampering; and S6, applying a strong encryption algorithm in a transmission layer and a data storage process to ensure data security and realize a homomorphic encryption technology, so that data operation is performed in an encryption state, and privacy is protected. According to the invention, the efficiency and security of terminal access are improved, and comprehensive protection and flexible management of the network and data are realized through the block chain and SDN technology.

The invention relates to an order completion method, system and device and a medium. The method comprises the steps of obtaining an order of a user; on the basis of a keyword matching method, according to the content of the order, identifying an order type; according to the order type, detecting a key item of the order, and when it is detected that the key item is incomplete, triggering an outbound system; wherein the outbound system is used for establishing dialogue contact with a user; receiving a user reply returned by the outbound system, and inputting the received user reply into a large language model for intention recognition to recognize necessary information; and the necessary information is complemented to the corresponding incomplete key items, and complete order information is generated. According to the method, necessary information provided by the user can be efficiently identified and extracted, so that missing key items are complemented, and the integrity of order information is ensured.

The invention discloses a display panel and a display device. The display panel comprises a display area; the width of the display panel in the first direction is D, the first center line extends in the second direction, the distance between the first center line and the first edge of the display panel in the first direction is d1, d1 = D / 4, and the two sides of the first center line in the first direction are each provided with at least one gate drive circuit. The first direction intersects with the second direction; the gate drive circuit is located in the display area. According to the embodiment of the invention, the frameless effect can be realized, and the display uniformity can be improved.

The invention relates to the technical field of smart home interconnection, in particular to a signal interconnection optimization method and system for smart home network equipment. The method comprises the following steps: identifying all intelligent network equipment nodes in a home area, and obtaining real-time signal states of all intelligent home network equipment; carrying out inter-device topological dependency mining on the intelligent network device nodes, and constructing a network device topological dependency graph; carrying out inter-device signal interference analysis on a network device topology dependence graph based on the real-time signal state so as to obtain signal interference characteristics in the region; performing signal transmission frequency calculation on the intelligent network equipment node to obtain the signal transmission frequency of the network equipment; and performing dynamic frequency coordination optimization on the signal transmission frequency of the network equipment based on the signal interference characteristics in the region, and constructing a dynamic frequency optimization strategy. According to the invention, the signal interconnection quality and efficiency of the smart home are improved.

The invention relates to the technical field of network delay detection, in particular to an fgOTN-based power communication network delay detection method and device. The method comprises the following steps: firstly, establishing a power communication network model according to power communication equipment and a link relationship thereof, selecting any two nodes in a network as a transmitting end and a receiving end, and acquiring time delay of data during transmission at the two ends; secondly, acquiring all paths from a sending end to a receiving end under different flow conditions based on historical data, and acquiring average time delays of all the paths under different flows; meanwhile, historical data are analyzed according to the constructed delay detection model, and optimal path delays under different flows are obtained. And finally, acquiring a current flow state and time delay thereof in the power communication network, comparing the time delay with the average time delay function and the optimal time delay function, and judging whether the time delay is in a normal interval or not. And if the delay exceeds the interval, predicting the abnormal state of the network by calculating a high burst delay probability.

The main and fine grid integrated HJT silver paste comprises the following components in percentage by mass: 85-92% of silver powder, 2-6% of organic resin, 0.5-2% of a curing agent, 0-1% of a thixotropic agent, 0-1% of an epoxy catalyst, a silicone oil catalyst and 2-5% of an organic solvent. The silver powder at least comprises three kinds of powder with different particle sizes, wherein the ball powder and the ball-like powder with the D50 being 2-6 micrometers and the tap density being 5-6 g / mL account for 30%-50% in one kind, the ball powder and the ball-like powder with the D50 being 0.1-1 micrometer and the tap density being 3-5 g / mL account for 20%-40% in the second kind, and the sheet powder with the D50 being 0.5-2 micrometers and the tap density being 3-5 g / mL account for 10%-30% in the third kind.

The invention provides a synchronous driving method of a VR virtual character and VR equipment, which are used for optimizing network delay and improving a driving effect. Comprising the steps that based on received multiple poses, sent by second VR equipment, of all target articulation points of a second user within a specified duration, the poses of all the target articulation points at other moments within the specified duration are predicted, multiple predicted poses of all the target articulation points are obtained, and the number of the target articulation points is smaller than the preset number of all the articulation points; for any moment, determining a to-be-predicted joint point of a second user at any moment by utilizing the distance between the first virtual character and the second virtual character obtained according to the pose of the specified joint point of the first user at the moment and the pose of the specified joint point of the second user at the moment; and predicting the pose of the to-be-predicted joint point by using each pose of the target joint point to obtain the pose of the to-be-predicted joint point, and driving the second virtual character by using the pose of each joint point.

The invention relates to the technical field of ad hoc network data communication, in particular to an ad hoc network communication routing method and system considering battery residual energy and a medium. According to the method, residual energy virtual hops are calculated according to battery residual energy of a reference node, multipath attenuation and environmental factor influences are considered at the same time, and node receiving signal strength virtual hops are calculated according to signal strength of a transmitting node. In the path selection process, the node receiving signal strength virtual hops and the residual energy virtual hops serve as judgment bases, the routing path with higher quality and stability is selected, transmission along a single path is avoided while transmission reliability is guaranteed, node energy consumption is balanced, and the problems of resource waste and overhigh local node energy consumption are avoided. The reliability and stability of the communication transmission process are ensured, and meanwhile, the node resources are reasonably scheduled, so that the node energy consumption is balanced.

The invention discloses a federated learning-based power grid line fault inspection method, equipment and a medium. The method comprises the following steps: each client obtains operation data of a local power grid line as a local data set; the central server generates and distributes global model parameters to each client; each client establishes and uses a local data set to train a local model according to the global model parameters, calculates generated gradient loss and uploads the gradient loss to the central server; the central server carries out aggregation processing on the gradient loss uploaded by each client to obtain a new round of global model parameters to continue a federated learning cycle until the global model parameters converge and / or the number of cycles reaches an upper limit; and each client uses the latest local model to carry out power grid line fault inspection work. According to the method, local computing resources of all participants are utilized, dependence on centralized computing power is reduced, model training efficiency is improved, it is ensured that data do not leave the local environment, and sensitive information is effectively protected.

The present invention discloses a collaborative task unloading and block mining method for mobile edge computing, including: step 1, constructing a mobile edge computing B-MEC system, and based on the constructed B-MEC system, establishing a data transmission network based on blockchain operation and task unloading; step 2, intelligently allocating transmission power based on a deep reinforcement learning algorithm, and unloading tasks to edge servers according to different proportions when performing task unloading; step 3, establishing an RLR-RAFT consensus protocol based on deep learning reward value election, constructing a multi-objective optimization function, and completing collaborative optimization of task unloading and block mining based on an intelligent agent deep deterministic policy gradient algorithm. The problem of collaborative task unloading and block mining of mobile edge computing enabled by blockchain is solved by deep reinforcement learning technology, and the total delay and total energy consumption of the system are minimized.

The invention relates to the technical field of hydraulic engineering, in particular to a backflow surface velocity field algorithm. Through a particle image velocity measurement technology and in combination with an advanced image processing algorithm, automatic identification and tracking of a complex flow state of a Three Gorges change backwater area are realized. Through key technologies of image preprocessing, feature point matching, flow field interpolation and the like, visual display of a flow velocity vector diagram, the flow velocity and the flow velocity direction can be provided, so that powerful technical support is provided for reservoir operation management, ship navigation safety guidance, environment monitoring and scientific research; besides, the provided backflow surface velocity field algorithm not only can improve the flow state identification capability of the Three Gorges Reservoir, but also is expected to be popularized to other large-scale water conservancy projects and applied to ship navigation safety guidance, and has wide application prospects and commercial values.

The invention relates to a resin composition as well as a preparation method and application thereof. The resin composition comprises mixed resin, an accelerant and curing agents, the mixed resin comprises epoxy resin and functional resin, the functional resin comprises polar groups with the dipole moment larger than 0.7, the mass fraction of the polar groups in the functional resin is 3%-15%, and the curing agents comprise a medium-temperature curing agent and a low-temperature curing agent. The resin composition can be rapidly cured at the temperature of 120 DEG C or below, meanwhile, a prepreg prepared from the resin composition is excellent in latency, and a composite material further prepared from the resin composition has excellent heat resistance.

The embodiment of the invention provides a display substrate and a display device. The display substrate comprises a grid signal line layer and a source and drain electrode layer. The gate signal line layer comprises a second signal line part of a gate signal line, and the source and drain electrode layer comprises a first signal line part of the gate signal line; in the same grid signal line, the second signal line part is connected with the first signal line part through the first via hole; the material resistivity of the first signal line part is smaller than that of the second signal line part; the grid signal line layer further comprises a fourth signal line part of the data signal line, and the source and drain electrode layer further comprises a third signal line part of the data signal line; in the same data signal line, the adjacent third signal line part and fourth signal line part are connected through a second via hole; the orthographic projection of the third signal line part and the orthographic projection of the first signal line part on an array substrate of the display substrate are not overlapped, and the orthographic projection of the fourth signal line part and the orthographic projection of the first signal line part on the array substrate are overlapped.

The present invention discloses a method, device and storage medium for optimizing mobile edge computing offloading delay. The method comprises: using a hierarchical analysis model to comprehensively calculate and evaluate the task delay response priority of users in a communication system to obtain a priority weight; constructing a task processing time model to calculate the task processing time; using the priority weight and the task processing time to establish a problem model of an optimization target; based on the problem model of the optimization target, obtaining a global optimal target through iteration, and generating an optimal channel selection coefficient and an offloading coefficient parameter combination adopted by each user when processing a task. The present invention effectively avoids network congestion and data accumulation, fully utilizes the computing resources of heterogeneous edge servers while ensuring the transmission of priority users, and effectively optimizes and reduces system delay.

The invention relates to an optical module communication system. The optical module communication system comprises a first optical signal transmission device, a second optical signal transmission device and a third optical signal transmission device. The first optical signal transmission device is respectively connected with the second optical signal transmission device and the third optical signal transmission device through transmission optical fibers; the first optical signal transmission device comprises a first optical transceiver and a first digital signal processor, and a half of a transmitting link and a half of a receiving link in the first optical transceiver are subjected to signal processing through the first digital signal processor. The other half of transmitting links and the other half of receiving links in the first optical transceiver do not adopt the first digital signal processor to perform signal processing; the second optical signal transmission device comprises a second optical transceiver and a second digital signal processor, the third optical signal transmission device comprises a third optical transceiver and a third digital signal processor, and all links of the second optical transceiver and the third optical transceiver adopt corresponding digital signal processors for signal processing.

This application provides a method and system for integrated protection of wireless network optimization and data security. The method includes: collecting wireless network operation index data and network security threat index data; evaluating network quality based on the wireless network operation index data, calculating network channel quality values, and generating network optimization strategies; calculating security threat values ​​based on the network security threat index data, and constructing security protection strategies based on the security threat values ​​and network channel quality values; linking and matching the network optimization strategies and security protection strategies to form linkage control commands; and synchronously executing network parameter adjustments and security management actions according to the linkage control commands. This application achieves bidirectional linkage between wireless network quality perception and data security threat detection, optimizing network speed and latency while simultaneously identifying attacks and dynamically adjusting security strategies, achieving synergistic optimization and balance between performance and security.

A method of transmitting and receiving a physical downlink control channel (PDCCH) in a wireless communication system and a device therefor are disclosed. The method performed by a user equipment (UE) comprises receiving, from a base station (BS), configuration information for a control resource set (CORESET), the configuration information including information related to a transmission configuration indication (TCI) state for the CORESET, receiving one or more reference signals (RSs) from the BS, measuring the one or more RSs, transmitting, to the BS, beam information including information for an RS related to a best beam among the one or more RSs, changing a reference RS of the TCI state to the RS related to the best beam, and receiving, from the BS, the PDCCH based on the best beam in the CORESET.

The present invention proposes a method for offloading and optimizing computing power of Internet of Vehicles based on potential game. Vehicles with surplus computing resources can be used as on-board cloud servers to provide computing resources for other vehicles. V2I links and V2V links are connected to different slices through 5G slicing technology without interfering with each other. First, the offloading decision of the task request vehicle is obtained through potential game, that is, the task request vehicle decides to perform local computing, offload to the MEC server, and offload to the on-board cloud server closest to the task request vehicle. For the task request vehicle that decides to offload the task, a distributed resource allocation method is adopted based on deep reinforcement learning. The base station does not need to centrally schedule channel state information. Each task request vehicle that decides to offload the task is regarded as an intelligent body, and the transmission power is selected based on the local observation state information. The algorithm can minimize the system delay under the limitation of the maximum transmission power. The present invention uses a combination of potential game and DDPG algorithm to effectively solve the joint problem of offloading decision and power optimization in the scenario of collaborative computing offloading between mobile edge servers and on-board cloud servers, and can be stable in the optimization of a series of continuous state spaces.

The invention discloses an efficient processing method and system for signal data of a photoelectric sensor, and the method comprises the following steps: obtaining an optical signal collected by the photoelectric sensor, and converting the optical signal into an electric signal; carrying out primary noise filtering on the electric signal by adopting a distribution diagram method, carrying out secondary noise filtering by adopting morphological filtering, and amplifying the filtered electric signal to obtain a preprocessed electric signal; performing analog-to-digital conversion on the preprocessed electric signal to obtain a digital signal; performing lightweight processing on the digital signal by adopting complex Fourier transform, and quickly storing and transmitting the lightweight digital signal based on data partitioning and a priority scheduling mechanism; and after the lightweight digital signal is received, signal feature extraction is carried out, automatic anti-interference detection is carried out according to the extracted signal features, interfered signals are eliminated, and a high-quality signal is output. According to the invention, efficient and flexible processing of signal data is realized.

The application discloses a large language model inference acceleration method for real-time voice interaction and electronic equipment, and relates to the technical field of artificial intelligence. The method comprises the following steps: obtaining optimal recognition text output by an automatic speech recognition engine as a draft sequence; inputting input data containing the draft sequence into a target large language model, and calculating posterior probability distribution of all token positions in the draft sequence through single forward propagation parallel calculation; determining a model output candidate sequence according to the posterior probability distribution of each position, comparing the model output candidate sequence with the draft sequence, and completing inference output based on the comparison result. The application does not need to additionally train, deploy and maintain an independent draft model, effectively reducing system engineering complexity and memory occupation. Meanwhile, the application scheme is executed based on the original architecture of the target large language model throughout the whole process, without the need to modify the model network structure, and without the need to carry out retraining or fine-tuning, so that the original generality and recognition accuracy of the pre-trained large language model are completely retained.

Disclosed herein are an electronic device and a method of operating the electronic device, according to various embodiments. The electronic device includes: a communication circuit configured to transmit and / or receive a plurality of packets to an external electronic device; and a processor, wherein the processor may determine whether to operate in a time average specific absorption rate (TAS) mode of the communication circuit upon detecting that an external object is in contact with or in proximity to the electronic device, and increase a latency between at least some packets of the plurality of packets based on a value associated with quality of a signal transmitted by the external electronic device satisfying a specified condition while the communication circuit is operating in the TAS mode, and wherein the processor may be configured to control the communication circuit to increase a strength of a signal that includes a plurality of packets having the increased latency. Various other embodiments are possible.

The present invention provides a hot-melt benzoxazine resin composition, a prepreg, a composite material and a preparation method thereof, wherein the hot-melt benzoxazine resin composition comprises the following components by weight: 30-80 parts of benzoxazine resin, 10-50 parts of epoxy resin, 10-30 parts of toughening agent, 2-15 parts of flame retardant, 10-25 parts of curing accelerator and 1-15 parts of epoxy diluent. The hot-melt benzoxazine resin composition, prepreg, composite material and a preparation method thereof have the characteristics of high heat resistance, strong mechanical properties, good flame retardancy, low product porosity and the like, and meet the requirements of aviation applications.

The present invention discloses an automatic report generation engine and method for a production and manufacturing system based on TSN, and relates to the field of intelligent factory network collaborative manufacturing. The invention comprises a user input module, a scheduling generation module, a configuration module, a performance analysis module and a report export module. The invention supplements the field of intelligent factory network collaborative manufacturing, especially the lack of automatic report generation method in the production and manufacturing system based on TSN, and can flexibly adjust the content of the report to meet the needs of different users.

The invention discloses a logic gate circuit based on black phosphorus ferroelectric field effect transistors, relates to the technical field of logic gate circuits, and utilizes the black phosphorus ferroelectric field effect transistors to form various fixed logic gate circuits and adjustable logic gate circuits. The first fixed logic application and the first variable logic application of the black phosphorus ferroelectric field effect transistor are achieved, compared with the prior art, the black phosphorus ferroelectric field effect transistor is applied to the fixed logic gate circuit and the adjustable logic gate circuit, and due to the fact that the black phosphorus ferroelectric field effect transistor has a better switching current ratio, the switching current ratio of the black phosphorus ferroelectric field effect transistor is improved. Therefore, the switching rate can be improved, and the delay of the logic gate is improved.

The present invention belongs to the field of digital signal processing, and specifically provides a configurable fast Fourier transform circuit with a sequential architecture, which is used to solve the problems of high resource consumption and high power consumption of the existing fast Fourier transform circuit structure with configurable points. The present invention is based on a sequential single-stage feedback FFT operation structure with registers as storage units, including: a butterfly operation unit module, a register storage unit with a depth dimension of 2N points, a configurable address generation module and a reverse module; the configurable address generation module performs mode configuration according to the number of points N of the fast Fourier transform, and then generates a corresponding address value to realize the FFT operation with configurable points; the present invention greatly reduces the use of operation unit resources, and reduces the power consumption and resource consumption of the FFT system; at the same time, the present invention optimizes the multiplier structure in the butterfly operation unit module, adopts booth coding to improve the delay of the multiplier path, and improves the clock operating frequency and operation speed.

A method for user equipment expected common beam switching includes the user equipment (UE) receiving a set of reference signals from a network controller; the UE sends a measurement report to the network controller based on a first reference signal in the received reference signals; the UE determines whether the number of first reference signals reported in the measurement report exceeds a threshold; and based on this, the UE monitors a physical downlink control channel (PDCCH) on a search space on a first control resource set (CORESET), and a spatial quasi-co-location (QCL) field in a transmission configuration indication (TCI) state of the first CORESET is set as a resource index of the first reference signal.

The application discloses a display panel and a display device. The display panel comprises a display area; a first middle line, the width of the display panel in a first direction is D, the first middle line extends along a second direction, the distance between the first middle line and the first edge of the display panel in the first direction is d1, d1=D / 4, at least one gate drive circuit is arranged on both sides of the first middle line in the first direction; the first direction and the second direction intersect; and the gate drive circuit is located in the display area. According to the embodiment of the application, frameless display can be realized, and display uniformity can be improved.

The application discloses an asynchronous arbitration circuit, an asynchronous arbitration method and an asynchronous arbitrator, and relates to the technical field of communication, aiming to solve the problem that the asynchronous arbitrator in the prior art may appear in a metastable state, which may cause errors in circuit logic and thus negatively affect the stability of a system. The asynchronous arbitration circuit comprises a request input unit, an arbitration unit, a filter unit and a handshake signal generation unit. The request input unit is configured to transmit a request signal to the arbitration unit and the handshake signal generation unit respectively in the case that a received response feedback signal is in a valid state; the arbitration unit is configured to perform arbitration processing on the request signal and determine a target output signal; the filter unit is configured to perform filtering processing on the target output signal to eliminate a corresponding metastable voltage in the target output signal, and output a corresponding response signal; and the handshake signal generation unit is configured to output a request front transmission signal based on the request signal.

The application provides a resource data query method and device, electronic equipment and storage medium. The method comprises the following steps: acquiring a plurality of binlog log data from a database of the OpenStack, and performing format processing on each binlog log data to obtain a plurality of to-be-screened log data; determining a resource identifier to be monitored based on a current deployment task; determining target log data to be monitored from the plurality of to-be-screened log data based on the resource identifier, and determining the target log data as resource data of the current deployment task, so as to determine the OpenStack resource state by acquiring the binlog log data in real time, and optimize the delay and state loss caused by periodically calling the API to query the resource state.