942 results about "Computer technology" patented technology

The invention provides a cold start acceleration method and device, electronic equipment and a medium, which can be widely applied to the technical field of computers, and the cold start acceleration method comprises the following steps: obtaining call information of a target function, and preprocessing the call information to obtain call characteristics; inputting the calling features into an online preheating model, predicting a function calling interval through a first preheating module in the online preheating model to obtain predicted calling time, and predicting the number of containers required for calling through a second preheating module in the online preheating model to obtain the number of predicted containers; determining a prediction decision according to the prediction calling time and the prediction container number; and deploying the containers according to the prediction decision, and creating a first number of preheated containers before the prediction call time to cope with a call request of the target function. The problem of request response delay caused by cold start in related technologies can be relieved, the request response speed is increased, and the user experience is improved.

The invention discloses a task processing method and device, in-network computing equipment, a medium and a product, relates to the technical field of computers, can provide a task processing method based on the in-network computing equipment, and improves the task processing efficiency. The method comprises the following steps: acquiring a task model and task data of a to-be-processed task from a central processing device by an in-network computing device, storing the task model and the task data of the to-be-processed task to the in-network computing device, performing block processing on the task data to obtain a plurality of task block data, and performing block processing on the task block data based on a plurality of processor cores of the in-network computing device. And performing parallel processing on the multiple pieces of task block data in the task model to obtain a task processing result.

The invention discloses a clinical decision interaction method and system based on structured evidence reasoning, and relates to the technical field of computer technology and medical informatization. The method obtains a user input query; the method comprises the following steps: performing mixed entity identification from a query input by a user based on an entity identification model and a rule matching algorithm to obtain a candidate entity set, and performing conflict resolution and entity standardization processing on the candidate entity set to obtain a core entity; performing multi-granularity intention recognition based on confidence calculation between the classification systems of the core entity and the medical exclusive intention to obtain a target intention; performing screening query in a pre-constructed structured knowledge graph according to the core entity and the target intention to obtain a corresponding structured knowledge fragment; generating a cue word based on the structured knowledge fragment, user input query, instruction constraint and multiple verification; and inputting the cue word into the large language model, and outputting an answer. According to the invention, more accurate and more reliable dialogue service can be provided for the medical field.

The invention relates to the crossing field of computer technology and biomedical engineering, and discloses a miniaturized intelligent blood glucose monitoring and analyzing method integrating edge computing. The method comprises the steps that glucose concentration and time sequence multi-source physiological signals are collected through a wearable sensor; performing data segmentation and multi-modal feature alignment based on the circadian rhythm; inputting the features into a lightweight student model obtained through knowledge distillation for blood glucose prediction; and the reasoning frequency is adaptively adjusted in combination with a memory feedback mechanism. The system comprises a sensing unit, a preprocessing unit, a lightweight model execution unit and a risk early warning unit. While the prediction precision is guaranteed, the model is compressed to be within 150 thousand parameters, a 512 KB on-chip memory is adapted, and low-power-consumption and high-stability end-side continuous blood glucose monitoring and early warning are achieved.

The invention relates to pattern recognition and anomaly detection in the technical field of computers, and discloses a laying hen disease early-stage AI early warning method and a laying hen disease early-stage AI early warning system. The method comprises the following steps: obtaining a laying hen behavior video stream, an excrement image and body temperature data, and carrying out preprocessing such as timestamp alignment and equipment number mapping to generate a training and reasoning input structure; then target tracking, key point coding, region segmentation, contour feature coding and body temperature fragment statistical coding are executed to extract a multi-source feature sequence; performing time window alignment, scale normalization, pattern recognition and anomaly detection processing on the multi-source features to realize disease type recognition; and finally, generating an early warning event based on rule triggering and threshold judgment, and forming closed-loop disposal through prevention and treatment scheme retrieval and instruction arrangement. According to the method, collaborative analysis and early abnormity early warning of multi-source heterogeneous data are realized, and the disease recognition accuracy and early warning timeliness are remarkably improved.

The invention provides a traceability analysis method and device, a storage medium and electronic equipment, and the method is applied to the technical field of computers, and comprises the steps: determining a target traceability type corresponding to network data to be traced, and carrying out the multi-dimensional traceability processing based on a traceability rule corresponding to the target traceability type and a multi-dimensional underlying database, and determining associated equipment information corresponding to the to-be-traced network data, performing traceability analysis processing based on the associated equipment information, and generating a traceability result report corresponding to the to-be-traced network data. According to the method, the associated equipment information can be determined through the traceability type in combination with the multi-dimensional underlying database, the response efficiency and accuracy of network data traceability are improved, and the result report is generated so that related personnel can check and use the traceability result conveniently.

The invention discloses a multi-source data fusion processing method for air ticket scheme generation and comparison, which relates to the technical field of computers, and comprises the following steps: collecting flight information from at least two flight data sources in real time, recording the collection process item by item according to a price fluctuation range and a seat state updating condition, and calculating a data collection result; multi-source data acquisition errors are reduced through an acquisition precision control mechanism, fusion of multi-source flight data is completed in a preset time window, and an initial flight data set is obtained; according to the multi-source data fusion processing method for air ticket scheme generation and comparison, the accuracy and reference of an air ticket scheme comparison result are improved, and then the user decision-making experience and the overall credibility and practical value of an air ticket information service system are improved.

The invention provides a task processing method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method is applied to the electronic equipment, a first processor of the electronic equipment comprises a plurality of computing cores, and the method comprises the steps that under the condition that a shader task is received, shared resources among thread bundles contained in the shader task are determined, and the shared resources are written into a shared storage space of the first processor; distributing each of the thread bundles to one or more target computing cores in the plurality of computing cores; and obtaining the shared resource from the shared storage space through each target computing core when a computing task in the shader task is executed, and performing computing based on the shared resource. The scheme can save a lot of computing core resources and improve the hardware resource utilization rate of the first processor.

The invention relates to a collaborative operation and maintenance method and device for port equipment, and relates to the technical field of computer technology, and the method comprises the steps: carrying out the evaluation of the operation risk of the illumination equipment in a future time period through comprehensively obtaining the operation parameters of the illumination equipment, the environment information of a storage yard area, and the division related data of an operation area, and obtaining the operation risk of the illumination equipment; and on this basis, the maintenance emergency degree of each lighting device is comprehensively judged in combination with associated abnormal conditions possibly existing between the devices and the operation arrangement of the areas where the devices are located, so that device maintenance tasks with response priority differentiation are formed and orderly distributed. By adopting the method, the matching degree between the maintenance response and the actual operation arrangement can be improved, the influence of the lighting fault on the storage yard operation can be reduced, and the overall reliability and the operation and maintenance efficiency of the port lighting system in a complex operation environment can be improved.

The invention relates to the crossing field of computer technology and edge calculation, and discloses a blood purification equipment real-time control method based on edge calculation. According to the method, multi-modal real-time physiological parameters, historical dialysis data and a current treatment target are fused through a local edge calculation unit, an individualized body fluid dynamic response prediction model is constructed, and an ultrafiltration rate instruction is optimized and generated within a millisecond level; the system comprises a multi-mode sensor array, a historical data storage module, a task planning interface, an edge computing unit and an ultrafiltration pump controller. According to the application, the hemodynamic state is accurately maintained, the risk of hypotension is remarkably reduced, and the treatment safety and individualization level are improved.

The invention discloses a computing node power consumption monitoring and predicting method, and belongs to the technical field of computers. The problem that an existing power consumption prediction method is poor in accuracy is solved. According to the method, the dynamic operation states of the nodes, the hardware static configuration attributes and the coupling influence of the communication relation and power consumption between the nodes are comprehensively considered, a graph structure based on node communication is constructed, and a power consumption coupling path between the nodes is modeled and calculated, so that the dynamic energy consumption of local nodes can be captured; and cross-node resource contention, communication bottleneck and energy consumption conduction effect can be considered. Through a structure-guided graph attention mechanism, the model can realize information sharing and feature collaboration among a plurality of nodes. By introducing an energy efficiency attention fusion module, dynamic weighted modeling is performed on multi-channel input features, key factors having high influence on energy consumption fluctuation are automatically identified, and the accuracy and interpretability of the model in the aspects of power consumption prediction and optimization suggestion output are improved. The method can be applied to power consumption prediction of the computing node.

The invention relates to the technical field of computer technology and coal mine intelligent mining, in particular to a machine learning-based open-pit mine blind cannon automatic identification method and device. The method comprises the steps that video data transmitted by an unmanned aerial vehicle are obtained, the unmanned aerial vehicle is provided with a camera device, and the video data are obtained by the unmanned aerial vehicle through data collection for the blasting process of a target blasting area of the strip mine; acquiring a key frame set corresponding to the video data; explosive loading parameters corresponding to the blasting process of the target blasting area are obtained; acquiring image features of the key frame set and parameter features of the charging parameters; and identifying the image features and the parameter features by adopting an automatic open-pit mine blind shot identification model established based on a target machine learning algorithm, and obtaining an identification result of an unblasted blast hole corresponding to the target blasting area. According to the invention, the duration of the blind shot detection can be reduced, the accuracy of the blind shot detection can be improved, and the working efficiency of the blind shot detection can be improved.

The invention relates to the technical field of computers, and provides a causal relationship analysis method and device, equipment and a medium, and the method comprises the steps: generating an initial causal network structure according to an association relationship between variables in observation data; based on the number of shared adjacent nodes of the variable nodes in the initial causal network structure in the domain knowledge graph and the path length between the nodes, determining the semantic association degree between the variable nodes; according to the semantic association degree, adjusting the confidence degree of causal edges in the initial causal network structure, and generating a target causal graph; and calculating causal effect intensity among the variable nodes based on the target causal graph, and generating a causal analysis result by using the causal effect intensity. According to the method, the deviation of the initial causal network structure is corrected by utilizing a mechanism of fusing the observation data and the knowledge graph, and the causal effect intensity is accurately calculated based on the target causal graph, so that a causal analysis result containing an accurate causal relationship and a quantitative influence degree can be provided for a user.

The invention belongs to the technical field of artificial intelligence and computers, and particularly relates to a multi-modal data intelligent identification and early warning system for a low-altitude safety emergency scene. The objective of the invention is to solve the problems of difficult small low-altitude target detection and lagging emergency response in a complex urban environment. The system integrates radio frequency, optical, acoustic and meteorological multi-source sensing nodes, and target fusion tracking is realized through space-time reference synchronization and cross-modal correlation matching; threat cognition is carried out by using a deep neural network with an attention mechanism, three-dimensional risk assessment is carried out by combining Monte Carlo simulation and a dynamic weighting algorithm, and yellow, orange and red three-level early warning instructions are generated; an early warning result is pushed to a multi-department collaborative response platform through an encryption interface, and the whole process is traceable through block chain evidence storage. According to the system, the low-altitude security situation awareness precision and the emergency response efficiency are remarkably improved.

The invention discloses a method for constructing a mapping knowledge domain of a metallogenic time-space event fused with a large model, which belongs to the technical field of computers and comprises the following steps of: acquiring multi-source heterogeneous geological data, generating a unified semantic primitive carrying a dynamic credibility weight through multi-modal semantic fusion, constructing a dynamic cognitive energy field based on a probability theory and a dynamics principle, and constructing a mapping knowledge domain of the dynamic cognitive energy field. Releasing a probability event probe in an energy field, generating an initial spatio-temporal event chain containing a plurality of possible paths through potential energy gradient descent and probability exploration, constructing a cognitive isomer system containing an expert simulator, a data insight body and a meta-cognitive arbiter, performing cognitive game on the initial event chain to obtain a game result, and performing cognitive game on the initial event chain. State prediction is carried out based on multi-dimensional health indexes, and predictive self-repairing is carried out on the knowledge graph; by adopting the technical scheme of constructing a dynamic cognitive energy field and a cognitive isomer system for coevolution, dynamic evolution, deep cognitive gaming and predictive self-repairing of the knowledge graph can be realized.

The embodiment of the invention is suitable for the technical field of computers, and provides a chip system and a channel interleaving method thereof, the chip system comprises a main core grain and a plurality of storage units, at least one storage unit channel is arranged between the main core grain and each storage unit, and the main core grain comprises a main interleaving module comprising a memory channel interleaving unit; the memory channel interleaving unit is configured to perform first interleaving transformation on the address of the access request according to the address of the access request and a first interleaving parameter to obtain a target address, and the first interleaving parameter comprises the number of storage units corresponding to the access request; and the main routing module is configured to transmit an access request to the target storage unit through the corresponding storage unit channel according to the target address. According to the embodiment of the invention, the address of the access request can be subjected to first interleaving transformation by the independent memory channel interleaving unit instead of a main routing module, the method is suitable for different main core grains, the access request is sent to the target storage unit, and balanced access of the storage unit is realized.

The invention relates to the crossing field of computer technology and hydraulic engineering, discloses a reservoir dam safety monitoring method and system based on multi-source sensing fusion, and aims to solve the problems of inaccurate safety assessment, early warning lag, high false alarm and missing report rate and the like caused by single data source and loose fusion in the prior art. The method comprises the following steps: deploying distributed optical fiber strain, osmotic pressure, inclination angle and acceleration sensing arrays, and synchronously obtaining sub-meter SAR satellite deformation data and regional hydro meteorological information; performing unified space-time reference alignment on the four types of heterogeneous data; extracting characteristics such as a strain evolution rate, an osmotic pressure deviation degree, an inclination over-limit section and a deformation rate; and constructing a Bayesian network inference engine based on physical constraints, calculating a dam section safety state posterior probability, and triggering three-level early warning according to a threshold value. According to the invention, through intelligent diagnosis driven by multi-source collaborative perception and physical knowledge, the monitoring precision is obviously improved, false alarm and missing alarm are reduced, and minute-level real-time early warning is realized.

The invention relates to the technical field of computers. The target interruption trajectory association method based on the fusion strategy comprises the following steps: carrying out average distance calculation on a predicted position sequence and a position sequence of a new trajectory set to obtain an average distance value, and constructing a distance loss matrix based on the average distance value; performing feature parameter extraction processing on the historical trajectory and the new trajectory in the coarse correlation trajectory pair set to obtain a speed feature, an acceleration feature and an angular velocity feature; performing characteristic parameter loss calculation on the speed characteristic, the acceleration characteristic and the angular speed characteristic to generate a characteristic parameter loss matrix; performing weighted fusion processing on the distance loss matrix and the characteristic parameter loss matrix to generate an overall association cost matrix; and carrying out Hungary algorithm optimization processing on the overall association cost matrix, and outputting an association trajectory pair so as to achieve the technical effects of improving association robustness in a long-interruption scene, reducing the probability of misassociation of a high-maneuvering target and enhancing scene generalization ability.

The invention discloses a relaxation limiting method and device for aircraft flow field updating, equipment and a medium, and relates to the technical field of computers, and the method comprises the steps: defining an initial relaxation coefficient used for limiting a correction amount, and correcting the initial relaxation coefficient based on a conservation variable; if the first corrected relaxation coefficient is greater than the lower limit of the target relaxation coefficient and the updated density determined by using the first corrected relaxation coefficient is smaller than the lower limit of the target density, correcting the first corrected relaxation coefficient, and if the second corrected relaxation coefficient is greater than the lower limit of the target relaxation coefficient, correcting the updated density. If yes, limiting the correction by using the target relaxation coefficient and the conservation variable to complete the flow field updating operation of the current grid unit, determining the next grid unit as a new current grid unit, and skipping to the step of reading the conservation variable of the aircraft flow field of the current grid unit at the target time step, so as to complete the flow field updating operation of the current grid unit. And the flow field updating operation of all grid units is completed. And the correction amount is limited in the aircraft flow field updating process.

The embodiment of the invention provides an offshore wind power oil discharge pipe arrangement method and related equipment, and belongs to the technical field of computers. The method comprises the following steps: acquiring three-dimensional model data and oil discharge pipe data; processing the three-dimensional model data and the oil discharge pipe data, and determining a floor drain group main path starting point, an oil tank interface end point and an avoidance matrix required by arrangement of the oil discharge pipe; inputting the starting point of the main path of the floor drain group, the end point of the oil tank interface and the avoidance matrix into an avoidance arrangement model to obtain a main path from the starting point of the main path of the floor drain group to the end point of the oil tank interface; and generating a branch path in a floor drain group through the avoidance arrangement model, so that the floor drains in the floor drain group are connected to the main path. According to the method, the main path from the starting point of the main path of the floor drain group to the end point of the oil tank interface is generated through the avoidance arrangement model, and the branch paths in the floor drain group are generated, so that automatic arrangement of the oil discharge pipe can be realized, and the arrangement efficiency of the offshore wind power oil discharge pipe can be improved.

Embodiments disclosed in this application pertain to the field of computer technologies, and in particular, to a method for performing FFT, a processor, and a computing device. The method includes: A processor responds to an execution request of fast Fourier transform FFT calculation of an application, and decomposes the FFT calculation into a plurality of calculation stages. The processor sequentially executes the plurality of calculation stages, where when a target calculation stage is executed, a vector operation circuit performs rotation factor calculation, and a matrix operation circuit performs DFT calculation. After the execution of the plurality of calculation stages is completed, the processor determines an execution result of the FFT calculation based on an execution result of a last calculation stage, and returns the execution result to the application. vector operation circuit matrix operation circuit

This invention provides a method and system for assessing the impact of construction disturbance on biodiversity in nature reserves, relating to the field of computer technology. The method includes: acquiring species distribution data, construction disturbance data, and environmental data within the nature reserve; constructing an ecological association network based on the species distribution data to obtain a species interaction network; extracting network structure features from the species interaction network to obtain a set of key species; modeling the disturbance propagation dynamics based on the set of key species and the construction disturbance data to obtain an impact propagation path map; predicting biodiversity responses based on the impact propagation path map and environmental data to obtain trends in changes in biological community composition; and conducting a comprehensive impact assessment based on these trends, outputting an impact level index by comparing the degree of deviation from historical baseline states. This invention effectively improves the overall accuracy and predictive precision of the assessment of the impact of construction disturbance on biodiversity in nature reserves.

This disclosure provides a service recommendation method, apparatus, electronic device, medium, and product, relating to the field of computer technology. The method includes: filtering available services based on customer needs to generate a candidate service list; for each candidate service in the candidate service list, constructing an input sequence of the candidate service based on the customer needs and the candidate service; inputting the input sequence of the candidate service into an analysis model to obtain the matching degree between the candidate service and the customer needs; and obtaining a service recommendation result based on the matching degree between all candidate services in the candidate service list and the customer needs. This method can accurately identify the complex interaction relationships between customer needs and services, improving recommendation accuracy.

This disclosure provides interleaved pipeline scheduling methods, apparatus, devices, and storage media, particularly relating to the computer technology field, and more particularly to the artificial intelligence technology field, including deep learning, neural networks, and parallel computing. [Solution] A specific solution includes obtaining micro-batch scheduling parameters based on the pipeline splitting dimension, interleave dimension, and cumulative count; determining the transmission interval of a micro-batch requiring cache scheduling based on the micro-batch scheduling parameters; and performing cache scheduling on the computation results of the micro-batch requiring delayed transmission based on the transmission interval and cache units. According to this disclosure, a cache unit, for example, a cache queue, can be created, the computation results of some computation units can be cached in the cache unit, and the computation results can be transmitted with a delay. This allows for delayed transmission of the computation results of some micro-batches, improving the applicability of interleaved pipeline scheduling.

This application belongs to the field of computer technology, specifically relating to an immersive XR pop-up store spatial layout and interactive experience method for the revitalization of intangible cultural heritage (ICH), aiming to solve the problems of insufficient interactivity and low commercial conversion rate in ICH dissemination. The method includes: constructing a scene awakening zone at the entrance, using augmented reality technology and identity anchoring to guide behavior; constructing a scene participation zone in the core area, using virtual reality and motion capture technology to enable users to perform collaboratively with ICH characters and generate digital assets; constructing a scene identification zone in the deep experience zone, using sensory interaction technology to guide users to internalize the culture and develop emotional identification; and constructing a scene transformation zone at the exit area, using digital assets to guide users to customize personalized cultural and creative products. This application, through a progressive spatial layout and deep interaction, constructs a narrative loop for the revitalization of ICH, effectively enhancing users' sense of presence and cultural identification, and realizing the transformation of commercial value.

This application discloses a dynamic asset access control method, apparatus, device, and medium based on an operation and maintenance audit system, relating to the field of computer technology. It includes: upon receiving an access request for a target asset from a client, generating a corresponding mirrored traffic copy based on the currently transmitted original traffic using a preset switch, and parsing the mirrored traffic copy using a preset operation and maintenance audit system to obtain the target asset information; comparing the target asset information with data in a preset asset registration database using the preset operation and maintenance audit system to obtain the corresponding asset registration status; if the asset registration status is "registered," issuing a blocking command to the preset switch based on a preset access control policy using the preset operation and maintenance audit system, so that the preset switch can intercept the access request based on the blocking command. This addresses the shortcomings of traditional static solutions in terms of real-time performance, security, and audit integrity.

The invention discloses a set communication unloading method, system and device and a medium, and is applied to the technical field of computers, and the method comprises the steps: in a model deployment stage, a distributed reasoning controller generates a communication primitive blueprint based on a computational graph description file of a tensor parallel reasoning model and issues the communication primitive blueprint to a DPU; the DPU establishes a hardware-level communication context semantic environment based on the communication primitive blueprint; in the model reasoning stage, the GPU / NPU sends a trigger signal to the DPU when calculating to a communication boundary; and the DPU executes a DMA data pulling assembly line and an RDMA data sending assembly line in parallel based on a hardware-level communication context semantic environment, performs aggregation calculation on all tensor fragment data to be synchronized, and writes an aggregation calculation result back to the GPU / NPU. A hardware-level communication context semantic environment is established in advance to a model deployment stage, and double assembly lines are executed in the DPU in parallel, so that end-to-end communication delay is remarkably reduced, and zero participation of a host CPU is realized.

This application discloses a drone cargo delivery method, apparatus, device, and storage medium based on identity verification, applicable to drones equipped with sensors and cameras, and relating to the field of computer technology. The method includes: sending a random receiving code corresponding to the recipient's receiving location to receiving software; capturing a flash image of the recipient using the camera, detecting ambient brightness based on sensors, and adaptively processing the brightness of the flash image based on the ambient brightness; determining the flash brightness components based on the processed image using a target smoothing method, statistically analyzing the flash brightness components of each candidate region in the processed image, determining the target on / off state sequence corresponding to the flash based on the obtained flash energy sequence, and if the target on / off state sequence matches a preset on / off rule in the random receiving code, it indicates successful identity verification of the recipient, completing the corresponding cargo delivery operation. This improves the efficiency and accuracy of drone cargo delivery.

The invention provides a false voucher detection method and device, equipment, a medium and a product, and is applied to the technical field of computers, and the method comprises the steps: inputting a to-be-processed voucher image into an image tampering detection model, and obtaining a first detection result; and inputting the to-be-processed voucher image into the text feature matching model to obtain a second detection result, and finally determining a target detection result of the to-be-processed voucher image according to the first detection result and the second detection result. Wherein the first detection result is used for indicating whether the to-be-processed voucher image is tampered or not, the second detection result is used for indicating whether text features matched with the to-be-processed voucher image exist in a feature library or not, and the feature library comprises text features of a plurality of historical voucher images; the target detection result is used for indicating whether the to-be-processed voucher image is a false voucher. According to the technical scheme, the coverage scene of the application is expanded, the detection accuracy is improved, and the omission ratio is reduced.

This invention discloses a data processing method, apparatus, electronic device, and storage medium, relating to the field of computer technology. One specific embodiment of the method includes: receiving a data processing instruction; obtaining the corresponding sliding window for each stored data; calculating the access parameters for each stored data; responding to a reporting instruction for the access parameters; obtaining the corresponding data identifier; obtaining the remaining expiration time of the data identifier to determine the current remaining time of the data identifier; and updating the local window lock of the data identifier based on the current remaining time; responding to a successful update of the local window lock; reporting the access parameters associated with the data identifier to a caching system; and responding to a triggering of a popularity acquisition task; obtaining the access popularity of each stored data from a preset caching system. This embodiment can solve the problem that analyzing client access data through a server requires establishing an independent server, resulting in high operational complexity and resource consumption.