84results about How to "Reduce resource usage" patented technology

The invention relates to the technical field of information retrieval, in particular to a large-scale semantic retrieval optimization method based on deep learning, which comprises the following steps: acquiring to-be-retrieved text data, and converting the to-be-retrieved text data into semantic vector representation through a deep learning model; carrying out topological structure analysis on the semantic vector representation to obtain topological characteristic information of a semantic space; on the basis of the topological characteristic information, a topological perception hierarchical navigable small-world graph index with a multi-layer structure is constructed, and each layer comprises a node set and a connection relation thereof; dynamically optimizing and adjusting the topology-aware hierarchical navigable small-world graph index according to an actual query mode and system performance feedback; and receiving a query request, converting the query request into a query vector, executing multi-layer navigation search in the topology-aware hierarchical navigable small-world graph index, and returning a retrieval result related to the semantics of the query vector.

The present application relates to the technical field of unmanned aerial vehicle software architecture, and particularly relates to an open unmanned vehicle navigation control software architecture implementation method, which comprises a functional node group, a node manager, a message transmission manager, a parameter server and a control algorithm library. The functional node group is a cluster of several independent functional nodes, the architecture unifies the external interface function form of each node and is uniformly managed by the node manager; the message manager is a low-overhead high-real-time message transmission mode used for message interaction between nodes; the software architecture is built-in with a parameter server capable of realizing parameter registration, storage and reading functions; meanwhile, some commonly used control algorithm libraries are configured for use by each node. The unmanned vehicle navigation control software architecture has the characteristics of low hardware overhead, high real-time performance, good scalability, supports multi-person collaborative development and can effectively reduce the software development threshold and cycle.

The invention discloses a decision-making system and method based on a Dores database, and the system comprises a data access layer which is used for accessing multi-source heterogeneous financial data in real time, a Dores storage calculation layer, and achieves the data storage, column-type bucket separation and materialized view pre-calculation based on the Dores database; the visual application layer is used for providing bidirectional interactive financial data visualization and decision support; wherein the data access layer acquires data in real time through a streaming computing engine and transmits the data to the Dores storage computing layer, and the visual application layer performs real-time data interaction with the Dores storage computing layer through a two-way communication protocol. According to the method, the synchronous delay of financial data is shortened from 6 hours to 1 second, second-level real-time integration is realized, the aggregation query response time of billion-level data is reduced to be within 1 second based on a Dores column type storage and materialized view technology, the user interaction response delay is lower than 500 milliseconds through WebSocket two-way communication, and real-time adjustment of parameters and dynamic refreshing of a billboard are supported.

The invention discloses a data recovery method and device, equipment, a medium and a product, and relates to the technical field of data processing, and the method comprises the steps: obtaining at least one recovery request message sent by a consumer and / or a multicast network; analyzing the recovery request message to obtain a consumer port identifier, a request type and a difference data packet sequence corresponding to the consumer port identifier; performing de-duplication processing on the difference data packet sequence based on the consumer port identifier and the request type to obtain at least one recovery data packet sequence and a sending identifier corresponding to the recovery data packet sequence; and sending the recovery data packet to the consumer and / or the multicast network based on the sending identifier and the consumer port identifier. By adopting the technical scheme, the recovery request message is subjected to deduplication and merging processing, so that repeated uploading of the recovery request is effectively filtered, the resource occupancy is reduced, and the problems of repeated transmission of the recovery request and repeated issuing of the recovery data are solved.

The invention provides an interaction method for adaptively expanding full text of input box content, which comprises the following steps: triggering a first expansion condition when monitoring that the word number of the content of an input box exceeds the preset width of the input box, starting an expansion panel positioning calculation process after response, and calculating the display position and the display size of an expansion panel by adopting an elastic layout algorithm. And based on the display position and the display size, rendering the unfolded panel on an independent graphic rendering layer through a layered rendering technology, and applying an animation effect for display, thereby generating an input box display panel. After user input is finished and the input box is out of focus, a preset triggering gesture of the input box is monitored, then a second unfolding condition is triggered, and the positioning calculation process is skipped to be executed after response. Registering and closing the monitor for the display panel of the input box, and when a preset hiding event is captured, controlling the hiding event to be hidden. The real-time perception and dynamic adjustment of content growth are realized by establishing self-adaptive mapping of the input box content and the display form; by means of elastic layout and layered rendering, input experience and interaction fluency are improved.

The application discloses a building engineering monitoring real-time image dynamic acquisition method and system, a terminal and a medium, and relates to the technical field of monitoring control. The technical scheme points are as follows: acquiring engineering task information of a target object; establishing a three-dimensional space model and calibrating task point positions in the three-dimensional space model; selecting image acquisition azimuth information of the task point positions as basic azimuth information; determining a standard azimuth information set corresponding to each task point position relative to the basic azimuth information; acquiring real-time azimuth information of a wearable device in a real-time image acquisition process, and when the real-time azimuth information and the standard azimuth information set are successfully matched, intercepting a real-time image acquired by the real-time azimuth information as a dynamic monitoring image of the corresponding task point position. The application can dynamically acquire real-time images of the corresponding task point positions, effectively reduces the reliability of the acquired images, and reduces resource occupation in the building engineering monitoring process.

The invention relates to a method for calling RK3588NPU computing power by using DBus, and belongs to the technical field of edge computing and inter-process communication. According to the method, a standardized DBus server-side and client-side architecture is constructed, the underlying computing power calling logic of an RK3588 NPU is packaged into DBus service, the server-side runs in a daemon process form, core logics such as model loading, reasoning execution and resource management of an RKNN SDK are packaged, and the computing power calling capability of the NPU is exposed through a preset DBus interface; the client does not need to be in butt joint with RKNN SDK, and can call a server interface to complete NPU model reasoning, computing power state query, model resource release and other operations only through a DBus protocol. According to the method, decoupling and standardized calling of the NPU computing power are realized, the development cost of sharing the NPU computing power by multiple applications is reduced, the flexibility and efficiency of RK3588 NPU computing power calling are improved, and compared with an existing direct calling mode, the communication delay is reduced by 35%, and the computing power resource utilization rate is improved by 40%.

The embodiment of the application provides a data transmission method and related device, which are applied to the field of communication. The method comprises the following steps: a first device logs in a bastion host through ssh; the first device receives and responds to a first operation for selecting a second device from a plurality of device identifiers, and establishes a communication connection with the second device through the bastion host. The first device receives a shortcut key command and sends the shortcut key command to a session management module of the bastion host. The bastion host converts the shortcut key command into a control command, and interacts with the second device according to the control command to obtain a service address of a server corresponding to the second device. The first device accesses the server according to the service address from the bastion host to download data in the second device or upload data to the second device through the server. In this way, the service address for file transmission is obtained on the bastion host through the shortcut key command, and file transmission is realized through the service address. This method is simple to operate, convenient for file transmission, small in resource occupation, and low in governance cost.

The application discloses a kind of fine-grained monitoring method and system for computing cluster job.The method is: deploying a monitoring agent on each execution node of computing cluster, and mounting eBPF probe in the kernel of execution node;Cluster scheduler divides the total job of cluster to obtain multiple jobs and assigns to each execution node;Monitoring agent constructs the direct mapping of JobID-kernel event;Based on direct mapping, kernel event and its associated kernel process are fused to generate job-level observability entity;JobID-node-PID set dynamic mapping relationship is established by using probe to capture job start and stop event;Job-level observability entity is based on dynamic mapping relationship to aggregate all observable data streams of job on execution node;From the total observable data stream of monitoring target, set index data is collected;The collected data is persisted to time series warehouse, and the semantic features of set topic data are extracted as index.

The embodiment of the invention discloses an article retrieval method, an article retrieval device and electronic equipment. A specific embodiment of the method comprises the steps of generating a request vector in response to a received article retrieval request, and generating retrieval attribute data according to a retrieval condition in the article retrieval request; according to the request vector, retrieving an article vector set under a target leaf node matched with the request vector from a pre-constructed article vector tree; and according to the description attribute data of the articles, retrieving a recalled article set matched with the retrieval attribute data from the articles indicated by the article vector set so as to be screened by the business layer. The implementation mode is related to an information retrieval technology, and some filtering rules of a business layer can be integrated into a vector recall stage of an engine layer in advance. In this way, invalid commodity advertisements which do not meet user requirements can be filtered out in advance, so that the data volume of invalid data needing to be processed by a subsequent service layer is reduced, and the overall retrieval efficiency is improved.

This invention relates to the field of model update and switching technology, and particularly to a method for hot model update and intelligent switching under a cloud-edge collaborative architecture. The method includes: performing change detection on a stored list of model versions via a cloud platform, and generating an update instruction containing an identifier of the target updated model version based on the change detection results; retrieving the model update file from the model repository based on the update instruction; loading the model update file in a local cache area; switching the current model version to the new model version corresponding to the model file in the pending switch state while the current model version is running on the target edge node; monitoring the real-time running status of the new model version on the target edge node; and switching back to the current model version when the new model version's running status is abnormal. This invention enables dynamic hot updates and intelligent switching of model versions in a cloud-edge collaborative scenario, improving the efficiency of model deployment.

The application belongs to the technical field of application software development test, and discloses an application software development test system with real-time vulnerability detection, which comprises a code real-time collection module, a multi-dimensional vulnerability detection module, a vulnerability accurate positioning module, a vulnerability risk quantitative evaluation module, a dynamic repair guidance module, a data storage module, a visual interaction module and an iterative optimization module, and each module cooperates to form a whole-process closed-loop vulnerability detection and management and control system. The application software development test system with real-time vulnerability detection is adopted, real-time capture, accurate positioning, risk evaluation and dynamic repair suggestion output of the vulnerability are realized, and the software development test efficiency and application program security are improved.

The invention discloses an Ethernet loop chain communication system and method, and the system comprises a plurality of control nodes which form a loop chain communication network topology. Each control node comprises a first communication interface and a second communication interface, and the first communication interface and the second communication interface are connected in series in a loop chain communication network and are used for communication among different control nodes; in each control node, the second communication interface is configured to only transmit and not receive, the first communication interface is configured to transmit and receive, and at the moment, the loop chain communication network supports one-way communication; and when the second communication interface of at least one control node is disconnected from the loop chain communication network, the second communication interface in the control node is configured to be capable of transmitting and receiving.

The application belongs to the technical field of integrated circuit design, and particularly relates to a cache access system supporting out-of-order processor data prefetching. The system specifically comprises a LOAD memory access information tracking and sequencing module, a LOAD memory access address history buffer, a prefetcher and a target prefetch address buffer. The LOAD memory access information tracking and sequencing module changes out-of-order LOAD memory access information into in-order LOAD memory access information, which is then input into the prefetcher; the prefetcher uses the in-order memory access information to realize more accurate training and target prefetch address prediction; valid target prefetch addresses output by the prefetcher are stored in the target prefetch address buffer to wait for subsequent sending; and the target prefetch address buffer is updated in real time to invalidate untimely addresses, so as to avoid sending useless prefetch addresses. The application can improve the learning efficiency of memory access rules and the accuracy of address prediction, and reduce the resource occupation of prefetch requests on the cache system.

This invention proposes a method and system for diagnosing open-circuit faults in three-phase inverter IGBTs, relating to the technical field of power electronic device fault diagnosis. The method involves lightweight processing of acquired historical data to obtain feature vectors; training a pre-defined three-phase inverter IGBT open-circuit fault diagnosis model based on these feature vectors; real-time acquisition of three-phase current data to be processed, followed by bounded normalization to obtain normalized current amplitudes; and generating IGBT open-circuit fault judgment results based on these normalized current amplitudes. Real-time data related to the three-phase inverter IGBT open-circuit fault is collected based on the IGBT open-circuit fault judgment results, and this real-time data is input into the trained three-phase inverter IGBT open-circuit fault diagnosis model to output the three-phase inverter IGBT open-circuit fault diagnosis results. This invention effectively achieves lightweight, efficient, and accurate diagnosis of three-phase inverter IGBT open-circuit faults.

The invention discloses a cross-platform link library communication method and device based on an optimized WebAPI, equipment and a medium, and relates to the technical field of computer communication, and a client application program initiates a data request by calling a cross-platform link library. And the cross-platform link library serializes the parameters of the data request and transmits the serialized parameters to the data interface layer. And the data interface layer encapsulates the data request after parameter serialization into a binary request through the gRPC client and the lightweight SignalR client according to an application scene, and transmits the binary request to the intelligent integrated data platform. And the intelligent integrated data platform concurrently accesses a plurality of databases of the storage layer according to the binary request, encapsulates an obtained result into binary response data, and returns the binary response data to the data interface layer through a communication protocol. And the data interface layer deserializes the binary response data into response data and transmits the response data to a client application program, so that efficient interface communication with low delay, high throughput and less resource occupation is realized in a multi-language environment.

The application provides a forwarding table entry synchronization method and a stacking system. A master device encapsulates forwarding table entry information of an obtained forwarding table into a data section of a control packet, encapsulates a stacking header based on egress information indicating forwarding table entry synchronization, inserts the stacking header into the front end of the control packet, and sends the control packet to a slave device connected thereto. The slave device receiving the control packet analyzes the control packet, saves the control packet in the local device after copying the control packet when it is determined that the control packet indicates that the slave device performs forwarding table entry information synchronization, and sends the control packet to a slave device connected thereto until all slave devices in the stacking system copy and save the control packet. In the scheme, each slave device locally copies and forwards the control packet, and the master device does not need to send multiple control packets, thereby reducing resource occupation of the master device, avoiding the same flow existing between stacking ports, and further avoiding the problem of wasting bandwidth between the stacking ports.

The invention provides a self-adaptive hybrid scheduling accelerator based on an FPGA (Field Programmable Gate Array) and an implementation method thereof. The accelerator comprises a control interface unit (CIU), a multi-level priority queue array (MPQA) and an adaptive scheduling core (ASH). The method aims at solving the problems of large task scheduling delay, slow interrupt response, system throughput bottleneck and the like caused by a traditional software scheduler in a heterogeneous multi-core SoC, a high-requirement embedded system and an edge computing node.

The invention discloses a method, a device and equipment for protecting a nonvolatile memory, and relates to the field of automation control, the method comprises the following steps: acquiring an erasing condition of a target nonvolatile memory in a preset time period; if the erasing condition is an erasing state, increasing a time integral count value by using a preset accumulated value; when the time integral count value is greater than or equal to a frequent erasing threshold value, determining that frequent erasing exists in the target nonvolatile memory, and executing a preset frequent erasing protection operation; according to the method, frequent erasing and writing of the target nonvolatile memory are recognized by adopting the thought of writing time integration, the process of counting the writing times of each storage unit is avoided, and accurate recognition of frequent erasing and writing of the nonvolatile memory can be realized with relatively small resource occupation, so that after the frequent erasing and writing are recognized, the storage efficiency of the nonvolatile memory is improved. By executing the preset frequent erasing and writing protection operation, the writing protection function of the nonvolatile memory is realized, and long-term and low-frequency accumulated erasing and writing can be effectively identified and blocked.

This invention belongs to the field of thermal power unit automation control technology, and discloses a configuration batch replacement method and related device based on hash caching technology. The configuration batch replacement method includes: reading a modified measurement point mapping table to obtain all source KKS and target KKS; updating the original hash table cached in memory based on the obtained source KKS and target KKS to obtain an updated hash table; traversing the updated hash table to perform configuration batch replacement; wherein, during configuration replacement, location information is obtained through the measurement point type, and then the source KKS in the indexed variable is replaced with the target KKS through the location information index variable. This invention can achieve fast and accurate replacement of KKS within the configuration, helping engineers to perform efficient configuration design; this invention solves the technical problems of slow configuration replacement speed and high system resource consumption in existing technologies, and has high engineering application value.

The invention belongs to the technical field of nuclear power, and particularly relates to an industrial control host protection method and device based on process injection detection. According to the industrial control host protection method based on process injection detection, operating system modeling is carried out on a host of an industrial control system, and trust models of all legal software in the system are identified and established; on the basis of the trust model, blocking and intercepting the illegal behaviors, judging operation requests of system resources, and intercepting destructive requests which do not belong to the trust model; and a set of active defense system based on immunization, blocking and tracing is constructed for the industrial control system. A white list baseline generated by'operating system modeling 'is combined with'kernel drive protection', real-time decision making is carried out through a multivariate fusion detection engine based on process injection detection, and an intelligent, efficient and reliable closed-loop protection system is formed.

The invention discloses a monitoring task processing method based on a natural language, and the method comprises the steps: carrying out the semantic analysis of a to-be-processed target monitoring task, and obtaining a target entity and a core execution action corresponding to the target monitoring task; the target monitoring task is described in a natural language; determining a target tool from the candidate tools based on the core execution action and the function types of the candidate tools, and determining candidate entities which can be identified by the target tool and the total number of the entities; respectively determining a target semantic pole corresponding to the target entity and a candidate semantic pole corresponding to the candidate entity on the basis of a mutual exclusion attribute model, the inference computing power of the edge computing equipment and the total number of the entities; based on the target semantic pole and the candidate semantic pole, selecting an associated entity corresponding to the target entity from the candidate entities; generating a task processing rule based on the target monitoring task, the target entity and the associated entity which can be identified by the target tool; according to the method and the device, the obvious reduction of task processing resource consumption and the synchronous guarantee of execution accuracy are realized on the edge computing equipment.

The application discloses a kind of fast moving face recognition method and system based on multi-frame image enhancement, comprising the following steps: through imaging device acquisition multi-frame image sequence, obtain multi-frame image after pre-processing;The multi-frame image after pre-processing is input into the improved MonST3R network, carries out spatial alignment and structure analysis, obtains the image after alignment and three-dimensional structure information;The above result is input into CRNet network, separates and enhances multi-scale feature, and obtains enhanced feature;Enhanced feature is input into space-time attention fusion module, and multi-frame feature representation is obtained by weighted fusion;Fusion feature is input into identification network, and dimension reduction is carried out, and face embedding feature vector is obtained;Similarity comparison is carried out between embedding feature and database template, and recognition result and confidence prompt are output.The application can realize efficient, accurate and resource-friendly face recognition under dynamic complex environment.

The invention discloses a three-dimensional grid vertex coloring method, device and equipment based on an implicit representation and separated reflection color network. The method comprises the steps of collecting a multi-view data set of an object to be colored, estimating a camera pose through a multi-level view structure recovery method, and determining a standard sampling cubic domain and a grid file; training a NeuS framework to obtain a model containing a geometric branch network and a separated reflection color network; grid vertex coordinates and triangular surface indexes are extracted through a geometric branch network, a color network processes the vertex coordinates to obtain an RGB vertex set, and after gravity center interpolation smooth coloring is conducted, a color three-dimensional grid with explicit vertex colors is generated and written into a file; coloring is completed based on the file. According to the method, UV expansion and illumination modeling are not needed, accurate coloring is achieved through the separated color network, the color grid rendering efficiency is high, compatibility is high, and the problems of texture dislocation and the like can be effectively avoided.

The invention provides a flow analysis system signal baseline estimation method and system, equipment and a medium, all calculations are carried out in an FPGA (Field Programmable Gate Array) in parallel and finished in an assembly line without software delay, and the method and the system can be directly used for triggering subsequent real-time signal processing or cell sorting decisions; through the triple mechanisms of hardware pre-filtering, extreme value elimination and recursive smoothing, various noises are effectively inhibited, and the baseline estimation variance is significantly reduced; an adder, a comparator and a register are mainly used in the algorithm, a complex multiplication divider or a large number of storage units are not needed, FPGA resource occupation is small, and power consumption is low. The provided stable and accurate double-baseline value can be used as the estimation input of a noise covariance matrix in a weighted least square (WLS) spectrum unmixing algorithm, and the unmixing precision and the signal-to-noise ratio of multicolor fluorescence analysis are directly improved; due to pure digital hardware implementation, the method can be easily transplanted to different types of flow cytometers or other optical particle analysis equipment.

This invention discloses a method for full lifecycle debugging of RTOS in AMP systems based on Linux terminal penetration. The core steps of this method include: during system initialization, loading an enhanced inter-core communication driver, configuring multiple functional channels and shared memory, completing interactive terminal application initialization, and adapting to multi-mode interaction; during command pass-through and forwarding, capturing user input and processing it differently, encapsulating it according to a preset protocol, and achieving differentiated transmission through an adaptive window flow control algorithm; during real-time response echoing, ensuring interaction consistency based on bidirectional state synchronization and precise terminal simulation; and during the full lifecycle startup log capture stage, achieving full startup log capture, Linux-side time alignment, and late-start recovery. This invention requires no additional hardware, reduces debugging costs and system resource consumption, improves multi-core collaborative debugging efficiency, achieves full lifecycle debugging coverage of the RTOS, and is adaptable to resource-constrained small-core scenarios.

The application provides an LDPC code decoding method and device, electronic equipment and storage medium. The method comprises the following steps: obtaining an input code word, a grouped check matrix and an initial confidence of an LDPC code, wherein the grouped check matrix is obtained by grouping an original check matrix according to a preset condition; presetting two initial quantization values with a given magnitude bit width, calculating an initial companion based on the input code word and the grouped check matrix; starting from the initial companion and the two initial quantization values, performing decoding iteration column by column, updating a current column variable node in the iteration, obtaining a soft decision message and transmitting the soft decision message to a next column, updating an associated grouped check node, and performing post-processing compensation on an oscillation correctable code word; updating the companion after each column is updated and judging a decoding success condition; and outputting a result when the condition is met or a maximum iteration number is reached. The scheme can realize the collaborative optimization of decoding performance and hardware implementation efficiency.

The application provides a vehicle-mounted video signal processing system and method. The vehicle-mounted video signal processing system comprises a driving recorder and a cabin domain controller. The driving recorder is configured to receive original multi-channel video signals collected by a plurality of image collection devices, acquire current display mode information from the cabin domain controller, and determine a current display mode of the cabin domain controller according to the current display mode information. The driving recorder is further configured to determine target video signals corresponding to the original multi-channel video signals based on the current display mode, and send the target video signals to the cabin domain controller. The cabin domain controller is configured to determine a target vehicle-mounted display application based on the current display mode information after receiving the target video signals, and send the target video signals to the target vehicle-mounted display application for display. By using the vehicle-mounted video signal processing system and method, the video recording and storage requirements of the driving recorder can be met without adding cameras, and the diversified display requirements of the cabin domain controller can also be met.

The invention provides a dynamic knowledge graph updating method based on cross attention and a model training method and device.The updating method comprises the steps that tetrad data of a current time slice and a historical knowledge graph are input into a model, and structured time sequence data are generated by influencing modeling, and the local association information and the random initialization information of the new entity are fused to generate an initial feature. Then, the model constructs propagation information according to the new entity features and historical entity features, and extracts static period information in combination with historical accumulated time sequence signals; and finally, interacting the to-be-updated entity features with the propagation information through a cross attention mechanism, and fusing the to-be-updated entity features with the periodic information to generate updated entity features. Semantic alignment of new knowledge of the knowledge graph and the historical period can be achieved, disastrous forgetting is effectively avoided, meanwhile, the knowledge graph updating efficiency and reliability can be effectively improved, and the resource occupancy rate of computing equipment is reduced.

This invention relates to the field of equipment upgrade technology, and in particular to an OTA method and system based on a master node for multiple types and multiple physical links. The method includes: the cloud sending all device models requiring OTA and their corresponding program files to the master node; the master node matching and filtering to determine the device models to be upgraded; the master node selecting a device model and broadcasting an OTA matching session; the master node waiting for a preset time, receiving matching responses from slave nodes, and summarizing them to form a list of upgradable devices; the master node performing multiple rounds of broadcast OTA upgrades for that device model; repeating the broadcast upgrade to complete the broadcast upgrades for all device models to be upgraded; for devices where the broadcast upgrade fails, the master node initiating a point-to-point unicast OTA upgrade; and the master node summarizing the upgrade results and reporting them uniformly to the cloud. This invention, based on master node OTA, can broadcast files sent from the cloud to each slave node to be upgraded, thereby supporting mixed OTA upgrades for multiple types and multiple physical links.