25 results about "Delay analysis" patented technology

The invention relates to an LPDDR4X simulation method and system based on a statistics theory. The method comprises the steps that a single-byte BYTE time domain simulation platform used for simulating LPDDR4X signal transmission characteristics is constructed; routing delay analysis is carried out on packaging and PCB channels corresponding to each signal in the single-byte BYTE, time sequence inconsistency in signal transmission is captured, and then the influence of phase crosstalk noise on eye height is captured; carrying out pulse response analysis on the signal, and quantifying ISI noise basic data caused by packaging and a PCB channel; independently analyzing the influence of crosstalk noise on each signal to obtain direct influence data of noise on eye height; processing ISI noise basic data and direct influence data by utilizing an MATLAB script, and extracting a main cursor voltage value, an ISI noise amplitude and crosstalk noise; according to the main cursor voltage value, the ISI noise amplitude and the crosstalk noise, the final eye pattern eye height is calculated. According to the method, the problem that a traditional simulation method is insufficient in eye pattern height evaluation is solved, and more accurate and efficient simulation support can be provided for high-speed low-power-consumption DDR design.

The invention discloses a college machine room screen broadcast teaching system and method based on behavior monitoring, and relates to the technical field of attendance data supervision. The college machine room screen broadcast teaching system based on behavior monitoring comprises a synchronous delay analysis module, a preloading accuracy analysis module and a rule configuration analysis module. According to the method, the synchronous delay analysis is performed on the synchronous transmission process of the screen broadcast teaching platform through the acquired synchronous delay data, then the preloading accuracy analysis is performed based on the acquired synchronous delay analysis result and the multi-thread parallel efficiency, and whether branch acquisition prediction optimization is performed or not is judged; finally, attendance adjustability analysis is carried out through the obtained attendance configuration data to judge whether to carry out rule intelligent adaptation adjustment or not, so that the flexibility is improved when the screen broadcast teaching platform synchronously processes the attendance monitoring data; the problem that in the prior art, a screen broadcast teaching platform is not high in flexibility when synchronously processing attendance monitoring data is solved.

The application provides a multi-currency intelligent settlement method and system for cross-border chemical trade, and belongs to the field of trade data processing. The method comprises the following steps: obtaining the characteristics of chemical products and the characteristics of multiple currencies and settlement constraints of multiple currencies during cross-border chemical trade; calculating a settlement sensitivity coefficient according to the settlement constraints; generating a first settlement scheme, analyzing the first settlement time of the first settlement scheme, performing delay analysis and variation prediction, obtaining a first delay amount and a first predicted variation amount; processing and calculating the first delay amount and the first predicted variation amount to obtain a first settlement risk degree, and iteratively optimizing the settlement scheme to obtain an optimal settlement scheme and perform settlement. The settlement sensitivity coefficient quantifies the settlement difficulty, and the settlement scheme is iteratively optimized by combining delay analysis and exchange rate variation prediction, so that the settlement cycle is shortened, the exchange rate fluctuation risk is reduced, and the multi-currency settlement efficiency and transaction stability of cross-border chemical trade are improved.

The invention relates to the field of data analysis, in particular to an intelligent data visualization and regulation system of a pipe network valve, which comprises a data processing module, a delay analysis module, a delay influence module and a visualization regulation module, and is characterized in that the data processing module determines a resistance sudden change characteristic value, an adhesion influence characteristic value and a valve interference characteristic value; the delay analysis module calculates an operation delay characterization value so as to determine the operation delay tendency of the valve, the delay influence module responds to the abnormal operation delay tendency, calculates a delay influence coefficient so as to judge the pipe network medium delay transmission state and calls the visual regulation and control module, and the visual regulation and control module responds to the abnormal operation delay tendency and calculates the delay influence coefficient so as to judge the pipe network medium delay transmission state. And the valve regulation and control module is used for regulating and controlling the valve based on the judgment result of the pipe network medium delayed transmission state. According to the method, the stress and impurity characteristics when the valve is opened are analyzed, the delay state of the valve is determined, and the influence of valve delay on pipe network transmission is determined in combination with mutual interference of the pipe network valve, so that the valve is adjusted.

The invention belongs to the technical field of electric power system time delay analysis, and relates to a Lagguerre-Taylor hybrid order reduction method for a multi-time-delay electric power system, which comprises the following steps of: S1, modeling the multi-time-delay electric power system and defining an order reduction problem; s2, a projection matrix is constructed, wherein a Laguerre function and Taylor are expanded and mixed; the method specifically comprises the steps that a projection matrix V1 is constructed based on scale Laguerre function expansion, a projection matrix V2 is constructed based on Taylor expansion, and a high-order block Krylov subspace orthogonal basis is generated based on a high-order block Arnoldi execution process; s3, constructing a Lagguerre-Taylor hybrid projection method of the multi-time-delay power system, and constructing an order reduction system; s4, analyzing the stability of the reduced-order system; according to the method, the reduced-order framework based on the projection matrix is constructed, the time-delay term algebraic structure of an original system is completely reserved, and the defect that the time-delay structure is damaged in an existing method is overcome.

The invention discloses a delay adaptive algorithm based on a radar target simulator system, and relates to the technical field of radar target simulation, and the algorithm comprises the steps: obtaining a net delay curve corresponding to a simulation target through employing a net delay analysis method; obtaining net delay analysis points in the net delay curve and an acceleration included angle curve corresponding to each net delay analysis point; obtaining a radar correction point of the to-be-measured target in the radar system based on all the net delay curves and the acceleration included angle curve; the method is used for solving the problems that in an existing delay adaptive algorithm based on a radar target simulator system, adaptive derivation cannot be carried out on the track of a target based on the real-time speed and delay of the target, adaptive adjustment cannot be carried out on the simulated track based on the acceleration of the target, and the simulation precision is poor. And the precision is low when the track and the position are predicted.

The application provides an AXI bus delay monitoring system, method and computer equipment, and the system comprises: a time stamp recording area which stores time stamps corresponding to different AXI_IDs of each AXI command in the form of a linked list; a resource application module which applies a free entry in the time stamp recording area to store a first AXI_ID and a first time stamp corresponding to a new AXI command when the new AXI command appears on a transaction request path; a resource release module which determines the order of a linked list corresponding to a second AXI_ID in the time stamp recording area according to the second AXI_ID, obtains a first time stamp stored in a head position and generates a second time stamp when a new AXI command appears on a transaction response path; and a delay analysis module which is used for calculating a bus delay value of a target AXI_ID according to the first time stamp and the second time stamp. The scheme can realize monitoring of any target AXI_ID and reduces hardware resource consumption.

The invention relates to the technical field of building structure monitoring, in particular to an intelligent monitoring and safety early warning system and implementation method for an ultra-long cantilever formwork support, and the system comprises an energy transition recognition module, a delay analysis module, a risk area division module, a risk area analysis module and a real-time early warning module. According to the method, three response data of stress, displacement and vibration are collected in real time and subjected to normalization processing and weighted fusion, the overall energy value of the cantilever formwork support is obtained through calculation, dynamic capture of transient response of the structure is achieved, the defect of traditional regular collection of static data is overcome, the overall energy value is compared with a reference base value, and the overall energy value of the cantilever formwork support is obtained. According to the method, the energy transition moment of the structure state can be identified, an accurate time reference is provided for analyzing a dynamic event, further, the energy transfer delay condition is quantified by analyzing the time difference of the transition moment between different parts, and the energy transfer path and efficiency in the structure can be revealed in the mode.

The invention relates to the technical field of computer networks and communication, and discloses a network calculation-based key task system network end-to-end delay analysis method, which comprises the following steps of: modeling network equipment by adopting a pNC-QQU method; abstracting a processing unit jointly formed by at least one data queue and at least one quality of service (QoS) strategy associated with the data queue into an independent QQU (Quality of Service) unit in the network equipment; using a pNC-QoSTree method to construct a QoS strategy tree for describing the work logic of the complex QoS strategy in each QQU unit for each QQU unit; traversing each QQU (Quality Quality Unit) passed by the to-be-analyzed service flow f on the path R; for each QQU unit, respectively calculating an arrival curve and a service curve of the service flow f in the QQU unit based on the QoS strategy tree constructed by the QQU unit, and calculating according to the arrival curve and the service curve to obtain a local delay upper bound Dq of the service flow f passing through the QQU unit; and for each network device passing through the service flow f, superposing the local total delays Dd of all network devices on the path R to obtain an end-to-end delay upper bound of the service flow f. According to the invention, the network modeling difficulty of a user can be reduced.

This invention discloses a diesel yield prediction method and system based on a time-delay-aware Transformer model, belonging to the field of industrial big data processing technology. It determines the effective time-delay window for each dynamic process variable through time-delay analysis constrained by physical mechanisms. Then, it embeds context vectors into static process variables and encodes dynamic process variables to generate dynamic feature sequences. A dynamic modulation gate generated from the context vectors is used to adaptively weight and modulate the dynamic feature sequences. Simultaneously, a global causal mask matrix is ​​constructed based on the effective time-delay windows of each variable and embedded with Transformer attention calculations, forcing the current query to access only historical moments within the effective time-delay window. The output is a temporal implicit representation conforming to the physical time-delay causality law, thereby predicting diesel yield. This method embeds the process mechanism knowledge of the refining process into a structured prior form within a deep learning architecture, achieving high-precision, high-robustness, and high-interpretability online rolling prediction of diesel yield.

The present invention discloses an intelligent student psychological data acquisition and analysis system with multiple data sources, which relates to the field of electronic digital data processing technology. The intelligent student psychological data acquisition and analysis system with multiple data sources includes: a data acquisition delay analysis module, a data transmission delay analysis module and a signal processing delay analysis module. The present invention performs data acquisition delay analysis on the acquisition process of the local preprocessing layer through the acquired first interference data, and at the same time determines whether to optimize the filter parameters based on the data acquisition delay analysis result, and then determines whether to optimize the sampling frequency based on the acquired data transmission delay analysis result, and finally determines whether to perform dynamic window optimization based on the acquired signal processing delay analysis result, thereby improving the timeliness of acquiring the psychological signals corresponding to the student psychological data in the dynamic load area, and solving the problem in the prior art that the timeliness of acquiring the psychological signals corresponding to the student psychological data in the dynamic load area is not high.

The application discloses a kind of adaptive synchronous digital twin simulation systems for SD-TSN information security analysis belongs to industrial control safety and digital twin field, this system includes physical entity layer, digital twin layer, synchronization management layer and application layer, digital twin layer is used for state mapping, behavior simulation and information security analysis, synchronization management layer as the core innovation point of the application, connect physical entity layer and digital twin layer, by real-time environmental state index dynamically selects and switches synchronization mode, application layer is based on the digital twin model after synchronization carries out end-to-end delay analysis, attack simulation and security policy verification, and analysis result is fed back to synchronization management layer and forms closed-loop optimization.The application introduces adaptive synchronous digital twin architecture, effectively solves the problem that synchronization mode is fixed in traditional simulation system, cannot adapt to dynamic network environment, can significantly improve the research efficiency and accuracy of SD-TSN data flow security resource scheduling and security algorithm real-time analysis.

This invention discloses an AVB traffic delay analysis method for TSN networks in incremental scenarios. Based on network calculus, this method overcomes the shortcomings of traditional analysis methods that rely on the global GCL scheduling table. First, the method characterizes the inhibitory effect of TT traffic on AVB flow transmission. Without parsing the full scheduling table, it constructs a fast TT arrival curve using only the maximum number and length of TT traffic slots. Second, it combines the hop-by-hop reshaping characteristics of the ATS shaper and the credit constraint mechanism of the CBS shaper to construct the arrival and service curve models of the AVB flow at the output port. Finally, it calculates the worst-case delay time at the port using the maximum horizontal distance between the arrival and service curves of the AVB flow, and accumulates the values ​​hop-by-hop along the AVB flow transmission path to obtain the end-to-end worst-case delay time. Compared with traditional network calculus methods, the incremental delay analysis method proposed in this invention does not rely on the global traffic information of the TSN network and can reduce computational complexity.

A wireless communication device according to one aspect of the present invention comprises an acquisition unit, a required delay analysis unit, and a determination unit. The acquisition unit acquires information pertaining to a required delay time of low-delay data. The required delay analysis unit calculates, from the required delay time, a maximum required delay time which is the maximum value of a delay time that is permitted as media access delay of a data link layer. The determination unit determines, on the basis of the maximum required delay time, the payload size of a plurality of radio frames that are related to a data transmission operation for transmitting the plurality of radio frames within a transmission opportunity (TXOP) period.

This invention relates to the field of wireless communication technology, and more particularly to a method for modeling packet loss in low-Earth orbit (LEO) satellite networks based on the Markov process of arrival. The invention includes the following steps: S1, establishing a LEO satellite communication data measurement system and acquiring data packet information; S2, processing the measured data from the system and extracting packet loss data from the acquired data packet information; S3, obtaining the packet loss arrival time interval sequence D; S4, using the packet loss arrival time interval sequence D to generate corresponding Markov process of arrival model parameters; S5, generating new packet loss data using the Markov process of arrival model parameters. This invention uses the Markov process of arrival as the packet loss model, providing a new solution for simulating packet loss in LEO satellite networks. It effectively characterizes the frequent packet loss caused by high mobility in LEO satellite networks, achieving a modeling effect that more closely resembles real network packet loss, which is highly beneficial for delay analysis and erasure coding design.

This invention discloses a method and apparatus for delay analysis and power allocation in an RSMA system, relating to the field of mobile communication technology. The method includes: constructing an RSMA system model; deriving the probability density functions of the common signal interference-to-noise ratio (SNR) and the private signal SNR based on the RSMA system model; constructing the delay violation probability of the common signal using a combination of random network calculus theory and the Meijer-G function based on the probability density function of the private signal SNR; constructing the delay violation probability of the private signal using a combination of random network calculus theory and the Meijer-G function based on the probability density function of the private signal SNR; constructing a resource optimization problem under delay-reliability constraints in the RSMA system; and optimizing the optimization variables and objective of the resource optimization problem using an APMS-PPO algorithm based on the delay violation probabilities of the common and private signals, outputting a resource allocation strategy. This invention can improve the efficiency and convergence speed of power allocation.

The invention relates to the technical field of logistics data processing, and discloses a logistics data processing method, which comprises the following steps of: acquiring an entry and exit timestamp data stream of a logistics node in real time, and processing the time data stream in real time; detecting a logistics delay event, and detecting the logistics delay event in real time; performing distribution permission verification, performing position verification through a geo-fence system and a dynamic permission attenuation model, and granting a distribution access permission; logistics delay analysis: when delay abnormity is detected, calculating contribution weight of each level factor to delay and generating an analysis report; and performing compliance judgment, dynamically calculating a theoretical outbound time threshold according to the multi-source timestamp data of cargo inbound and outbound, and generating a compliance judgment result. According to the invention, data timeliness can be ensured, and the logistics delay mode can be identified in real time; delicacy management of distribution permissions is carried out; delay analysis is accurate; compliance judgment can be automatically carried out, and a closed loop is realized; the human intervention demand is obviously reduced; and the logistics efficiency is effectively improved.

To analyze a delay of a host machine with higher accuracy.SOLUTION: A delay analysis system includes: a host machine that executes both a virtualized controller and a host communication unit which manages communication between the controller and another apparatus; and a delay analysis device that inputs a delay investigation packet for measuring a delay of processing of the host machine, into the host machine, analyzes the delay investigation packet processed by the host machine, and measures the delay of processing of the host machine. The controller processes the delay investigation packet, writes a time stamp on the delay investigation packet, and outputs the packet to the host communication unit. The host communication unit processes the delay investigation packet, writes a time stamp on the delay investigation packet, and outputs the packet to the delay analysis device. The delay analysis device calculates processing time for each unit, based on the time stamp of the controller and the time stamp of the host communication unit which are written on the delay investigation packet.SELECTED DRAWING: Figure 3

The application relates to the technical field of house source operation and maintenance management, in particular to a house source operation and maintenance management system based on AI intelligent monitoring, which comprises a data acquisition module, a response module, a response delay analysis module, a breakpoint verification module and a data packet analysis module, whether suspected information breakpoints are identified is determined based on response delay conditions; trusted information breakpoints in the suspected information breakpoints are identified based on information breakpoint confidence, and the trusted information breakpoints are combined to construct to-be-responded information data packets; the response state is determined based on the horizontal span of the trusted information breakpoints in the horizontal interference, whether the monitoring sensitivity is corrected based on the regional density and the monitoring data historical fluctuation is determined, correlation analysis is carried out on various monitoring alarms, and the house source operation and maintenance efficiency is improved.

The application discloses an intelligent watch data security transmission method and system based on artificial intelligence, relates to the technical field of data transmission, and comprises the following steps: collecting multi-source type data through an intelligent watch sensor to form a type data set; determining a disclosure probability according to log access and public matching times of the type data, analyzing sensitivity based on the collection times, and summarizing and calculating a privacy score; analyzing the importance score of the type data according to a user request; determining a real-time score according to delay analysis of the data; introducing an entropy weight method to dynamically calculate a weight; and calculating a comprehensive sensitivity score.The method disclosed by the application dynamically adjusts the weight of each parameter through the entropy weight method and information entropy, so that the influence of each parameter on the comprehensive sensitivity score is enhanced, and the influence of parameters with weak distinguishing ability is reduced; and the introduction of the priority group distribution ratio ensures that the node weight reflects the distribution characteristics of the comprehensive sensitivity.

This disclosure provides a network latency analysis method, apparatus, program product, and electronic device, relating to the field of communication technology. The method includes: dividing devices within a cluster into at least one multicast group according to the network topology; sending multicast probe packets to each multicast group via unreliable datagrams; determining the reception information of each device within each multicast group receiving the multicast probe packets; and determining network latency information based on the reception information corresponding to each device within each multicast group. This disclosure determines network latency information using only one-way probe packets, which, while ensuring network latency determination performance, also reduces the consumption of network and computing resources, avoiding latency and packet loss caused by excessive network resource consumption.

The present invention provides a method for calculating safety assessment indicators of a large-scale multi-agent model of a power grid, which relates to the field of intelligent control technology. The method includes: obtaining the voltage change rate and frequency change rate, dividing the disturbance into four stages according to the disturbance starting point and extreme value point, pairing the curve trends, judging the delay and synchronization characteristics, extracting the continuous change structure, and generating a disturbance segment evolution structure; the present invention realizes dynamic structural reconstruction and trend mapping of the disturbance process through staged analysis of node voltage and frequency change trends, combining trend consistency judgment and abnormal segment identification, trend boundary aggregation and frequency classification to improve the consistency and accuracy of indicator response state identification, coupling direction and delay analysis of multi-parameter changes between nodes to enhance collaborative characteristic identification, regulating response sorting to clarify node adjustment priority, and constructing a regulation path under multi-dimensional linkage, thereby improving the refined management and control capabilities of disturbance response and the pertinence of control decision-making.

To provide a charge delay analyzer, a notification device, and a charge delay analysis system that can elaborately analyze the reason of charge delay of a statement of medical expenses or the influence of the delay.SOLUTION: In a charge delay analysis system, a charge delay analyzer 1 includes: an acquisition unit 11 for acquiring a charge delay notification record generated by a medical institution for a predetermined period of time if a statement of medical expenses was not submitted when it was supposed to be submitted, the record including the report on the charge delay of the medical expenses; and an analysis unit 12 for performing predetermined statistic processing by using a charge delay notification record and outputting the result of analysis on the charge delay.SELECTED DRAWING: Figure 4

The application discloses a task delay analysis processing method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: in response to triggering of task delay analysis, obtaining basic information of a task to be detected; determining whether the task to be detected is delayed according to the basic information of the task to be detected; in the case that the task to be detected is delayed, determining a use coefficient of a computing resource index of a cluster and / or a queue to which the task to be detected belongs; when the use coefficient of the computing resource index is less than a first threshold value, confirming that the computing resource is the cause of task delay; and when the use coefficient of the computing resource index is greater than or equal to the first threshold value, confirming that the computing resource is not the cause of task delay. The embodiment improves the speed and convenience of task delay analysis, and has high efficiency without manual analysis.

The application discloses a hybrid thread-based event processing method and related equipment, and relates to the technical field of computer networks. The method comprises the following steps: acquiring event parameters for a client, wherein the event parameters comprise a plurality of events; performing delay analysis based on the events to obtain delay types of the events; and performing hybrid thread processing on the event parameters based on the delay types of the plurality of events to obtain response parameters for the client, wherein the hybrid thread processing represents thread processing in which an epoll working thread and a Busy Polling dedicated thread are mixed. The method solves the problem that a single thread cannot meet event delay requirements when processing a large number of concurrent tasks.