182results about How to "Reduce resource usage" patented technology

The invention provides a method and a device for simulating a video medium by a multi-mode medium in dubbing and a readable storage medium thereof. In the dubbing field, a traditional video medium has the problems of high cost, poor flexibility and the like. According to the method, multi-mode media such as audios, pictures and texts are dynamically loaded during program running, and the video effect is simulated through specific steps. The method comprises the following steps of: initializing an item, configuring resources, requesting and analyzing data, loading a UI (User Interface) control, synchronizing the data and the control, adding an interactive operation and an extended function, and finally releasing the resources. The technology effectively reduces the cost, realizes resource sharing, improves the operation efficiency and flexibility, has cross-platform compatibility, has important practical value in dubbing and other multimedia application scenes, and can bring more efficient and convenient experience to users.

A moving object real-time three-dimensional reconstruction system based on fringe projection comprises a processing system (PS end) used for communicating with a camera and a projector and managing acquisition and processing of image data; the programmable logic (PL end) is matched with the processing system (PS end) and is specially used for accelerating three-dimensional reconstruction, the programmable logic (PL end) comprises a three-dimensional reconstruction algorithm hardware acceleration unit, and a real-time three-dimensional reconstruction algorithm of a moving object in a dynamic scene is executed in a hardware acceleration mode; wherein the programmable logic (PL end) adopts a streaming computing architecture, the received image data is processed through a cache-free streaming design, the image data is analyzed immediately when each frame of image arrives, and a high-quality moving object real-time three-dimensional reconstruction result is continuously generated. When the method is used for processing three-dimensional reconstruction in a dynamic scene, high precision can be kept, high reconstruction speed can be realized, and challenges on reconstruction precision and reconstruction speed in the prior art are effectively solved.

The invention discloses a spatial audio processing method and device, computer equipment and a storage medium, and the method comprises the steps: responding to an operation of a user for audio equipment, and initializing a gyroscope sensor in the audio equipment; starting a gyroscope sensor, obtaining head motion original data of a user, and then performing data preprocessing to obtain current head angle information of the user; determining a corresponding head-related transfer function based on the head angle information; performing conversion processing on the original audio data based on the head-related transfer function to obtain target audio data; and performing spatial reverberation simulation on the target audio data to obtain a corresponding spatial reverberation audio. According to the scheme, high-precision and high-real-time audio output can be provided while low resource occupation is kept, and more real and immersive auditory experience is provided for a user.

The invention discloses a rapid intensity modulated radiation therapy optimization method and system, and the method comprises the steps: receiving imported clinical treatment data of a patient, and calculating a dose contribution matrix based on the clinical treatment data of the patient; dividing the dose contribution matrix into a plurality of matrix blocks along the organ direction to obtain an organ sub-region sequence; dividing the dose contribution matrix into a plurality of matrix blocks along the radiation field direction to obtain a radiation field sub-region sequence; partitioning a dose contribution matrix by using the organ sub-region sequence and the radiation field sub-region sequence to obtain dose contribution sub-matrix blocks; and performing intensity modulated radiation therapy optimization by using the dose contribution sub-matrix block. According to the fast intensity modulated radiation therapy optimization method and system provided by the invention, the original dose contribution matrix is converted into a series of matrix blocks before optimization, resource occupation in the optimization process is reduced, and the optimization speed is improved.

The invention discloses an intelligent teaching auxiliary system based on a large language model, which relates to the technical field of intelligent teaching and comprises a progress management module, a resource management module, a teaching service module, a test question test module, a consultation evaluation module and a result auditing module. According to the intelligent teaching auxiliary system based on the large language model, the authenticity of the reflected learning condition of the student is judged according to the matching degree of the test question test result of the student and the input information, and the score record is corrected through manual analysis and auditing by a human teacher in allusion to the condition that the test score is not matched with the evaluation score; therefore, the system can adjust the teaching arrangement according to the real mastering degree of the teaching content of the students, can effectively avoid the improper teaching arrangement caused by the misjudgment of the conditions of the students, and facilitates the improvement of the teaching effect and the learning experience.

The invention relates to an attendance data backtracking processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring initial attendance data corresponding to an attendance subject; the initial attendance data comprises a backtracking period; performing fragmentation processing on the initial attendance data according to the backtracking period to obtain fragmented attendance data; and performing attendance backtracking calculation based on the fragmented attendance data to obtain an attendance backtracking calculation result. By adopting the method, the backtracking processing efficiency of the attendance data can be improved. The method is suitable for a human resource (HR) system and an enterprise resource planning (ERP) system which is integrated with an HR function, and the method is suitable for the human resource (HR) system and the ERP system which is integrated with the HR function.

The invention discloses a virtual array plane forming method of a mathematical multi-beam spherical phased array antenna, which comprises the following steps of: controlling the geometric dimension of a sub-array so as to control the influence of aperture transit time of array elements in the sub-array within an effective range, that is, adopting a phase compensation method without considering the influence of aperture transit in the sub-array, beamforming in the sub-array is completed; beamforming of the spherical array antenna is completed among the sub-arrays in the activated area according to a time delay compensation method; wherein only phase compensation synthesis is carried out between array elements in the sub-array; and time delay compensation synthesis is carried out among the sub-arrays. According to the invention, the beamforming requirement of the digital beam spherical phased-array antenna on the broadband signal can be realized, and the realization method is simple.

The invention provides an uplink data control method and system, and relates to the technical field of aerospace, the method is applied to a user terminal, the method comprises the following steps: determining an uplink probability according to the number of uplink channels of a satellite and the number of current receivable users, and the user terminal is located in a coverage area range of the satellite; generating a random number according to the maximum user number corresponding to the user terminal; and uploading pre-generated uplink data to the satellite under the condition that the random number is smaller than the threshold value corresponding to the uplink probability. According to the method, the number of the current uplink user terminals is controlled by controlling the current uplink probabilities of all the user terminals in the satellite coverage area, so that the collapse of a satellite Internet of Things communication system caused by uplink collision under a wide-coverage multi-access condition can be avoided, and the occupation of communication link resources can be greatly reduced.

The invention relates to a database processing method and device, equipment, a storage medium and a program product. The method comprises the following steps: firstly, acquiring a plurality of database instances in a system, then, determining at least one database instance two-tuple corresponding to two database instances according to the acquired data volume of each database instance, and finally, merging the two database instances corresponding to each database instance two-tuple. By adopting the method, the number of the database instances in the system can be reduced, so that the resource occupancy rate of the system is reduced, and the data query and writing efficiency is improved.

The invention relates to the technical field of transportation monitoring, in particular to a transportation monitoring system based on artificial intelligence video analysis. Comprising a data acquisition unit, an end data storage unit, a monitoring platform, a video preprocessing unit, a video analysis unit, an early warning unit and a display unit. The video preprocessing unit is used for judging whether the condition is normal or not, and the video analysis unit performs enhancement processing on video data and judges whether a fault exists or not and the fault type; the early warning unit is used for analyzing the probability of future fault occurrence under the fault-free condition; according to the invention, the collected video data is processed step by step, and the video data is enhanced, so that the features of the video data are more obvious, and the training of a preset model and the output of a result are facilitated; according to the invention, an artificial intelligence algorithm is adopted to analyze the collected video data and output a conclusion, so that artificial interference is reduced; and the output conclusion can be directly embodied on the video and is more visual.

The invention discloses a satellite-borne radar measurement data timestamp synchronous timing method and system. The method comprises the steps that a satellite time timer is designed through an FPGA logic circuit for timing; according to the second pulse signal, second synchronous timing is carried out on the star time timer through an FPGA logic circuit; according to an irregular satellite time broadcast signal and the second pulse signal, world coordinated time correction is carried out on the satellite time timer through an FPGA logic circuit; and performing timestamp synchronous timing on the spaceborne radar measurement data. Through the design of the FPGA logic circuit, second synchronous time calibration and world coordinated time calibration are carried out on the satellite time timer, high-precision synchronous time calibration of spaceborne radar time is achieved, the high-precision synchronization requirement of spaceborne radar of a GNC control system is met, the time stamp synchronous time calibration design is further added to output measurement data of the spaceborne radar, and the time calibration precision of the spaceborne radar is improved. And the measurement precision of spaceborne radar measurement data is effectively improved.

The invention discloses a reusable double-domain multiplier design method and system, and the method comprises the steps: double-domain non-logic base-4Booth coding: setting a coding logic which simultaneously supports the complement operation of a prime number domain and a binary extension domain and a symbol extension bit, and easily realizing the generation of a partial product under double domains through extension; dual-domain partial product generation: generating a partial product array based on the coded values; performing Wallace tree-shaped compression: on the basis of a compressor of a Wallace tree-shaped compression structure, realizing dual-domain compression by introducing a domain control bit; and adder operation: obtaining two partial products based on compression, and adding the two partial products through an adder to obtain a final multiplication result. According to the method, Booth coding, double-domain partial product generation and double-domain compression logic on the prime number domain and the binary extension domain are designed, the symbol extension bit preprocessing technology and the complement plus one-bit optimization technology are combined, multiplication on the double domains can be supported at the same time, and the method has the remarkable advantages of being small in resource occupation and high in performance.

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 invention provides an IMU (Inertial Measurement Unit)-based multi-sensor fusion positioning method and device and a storage medium. The positioning method comprises the following steps: obtaining an IMU pre-integration result based on a constructed IMU pre-integration model; adding the system positioning result at a moment and the IMU pre-integration result to obtain a system positioning predicted value at the current moment; obtaining original data of the plurality of sensors, and performing preprocessing and synchronization to obtain observation values of the plurality of sensors at the current moment; independently filtering the observation values of the plurality of sensors and the system positioning predicted value at the current moment by using the constructed filtering subsystem so as to obtain updated system positioning predicted values of the plurality of sensors at the current moment; according to the system positioning observation values of the plurality of sensors and the confidence coefficients of the plurality of sensors at the previous moment, updating the confidence coefficients of the plurality of sensors at the current moment; and according to the confidence of the plurality of sensors at the current moment, carrying out weighted summation on the updated system positioning predicted values of the plurality of sensors to obtain a system positioning result at the current moment.

The present invention discloses a fully automatic tie rod and pipe punching equipment, comprising a machine body, a feeding mechanism, an upper frame, a lower frame and a discharging hopper; the feeding mechanism, the upper frame, the lower frame and the discharging hopper are all arranged on the machine body; the feeding mechanism comprises a feeding hopper and a synchronous belt feeding mechanism, the lower frame is provided with a feeding station, a punching station, a flipping station, a discharging station and a discharging hopper, and the upper frame is provided with a transport component; the punching station is provided with a punching die mechanism, and the machine body is also provided with a pipe angle detection station, and the pipe angle detection station is provided with a pipe angle detection mechanism, and the first punching die mechanism comprises a punching die and a pushing mechanism. The present invention is suitable for punching different types of tie rod and pipe materials, realizing automatic and orderly feeding and discharging of pipe materials, with high processing efficiency and energy saving. The set pushing mechanism can effectively realize the automatic feeding and discharging of tie rod and pipe materials by a single power device, with a simple structure and less equipment resource occupation; the overall equipment has high safety and stability.

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 present invention belongs to the technical field of computer technology server-side data processing, and discloses a templated business cache processing method and system. For a relational database using structured data, this method completes data storage in the relational database by defining a fixed data model as a cache data structure; the data stored in the cache is converted into a usable binary format in a serialized manner; an abstract interface for the data structure and an abstract interface for data operations are defined, and cache commands are performed on the detailed problem data used by the template class. The present invention uses a template to encapsulate the specific implementation of the operation steps into the template class, so that a general processing that supports multiple data types can be used to improve the code reuse rate and reduce redundancy. At the same time, the template class can be easily expanded to support new data types, and the unified maintenance method in the template class makes the code easier to maintain and expand.

A host device, a storage device, and systems and methods thereof are provided. The B-tree-based retrieval method executed by a host device includes: acquiring query information from a memory of a storage device based on a B-tree query request for a table; sending query information to the storage device so as to store the query information in a memory of the storage device; sending a B tree query request to a storage device to start a query for the table in the storage device; a result of the B-tree query request is received from the storage device.

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 present invention provides a CAN communication auxiliary channel data transmission method, which comprises the following steps: establishing an auxiliary channel DBC file; auxiliary channel mapping; process step flow editing; starting a test; during the test; until the process step flow is executed, the test ends; the beneficial effects of the present invention are: reducing the resource occupation of the intermediate computer, and being able to carry more auxiliary channels; reducing the development cost of the docking protocol between the auxiliary channel lower computer and the intermediate computer; the CAN communication has strong real-time performance and fast transmission speed, and can improve the sampling frequency; the auxiliary channel DBC file is easy to edit, the protocol structure is simple, and the scalability is strong; only a small amount of voltage, temperature, and pressure messages need to be defined to meet the auxiliary channel type and data upload; when an auxiliary channel fails, only the auxiliary channel mapping needs to be modified, the failed auxiliary channel is deleted, and other auxiliary channels are mapped, and there is no need to replace the auxiliary channel lower computer, thereby improving the equipment utilization rate.

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 kind of based on multi-value logic parallel decision Hash algorithm fast cracking device and method, belong to information security and cryptanalysis technical field.This device adopts Tianpi framework, core hardware includes 6400 four-value logic operation unit, 2300 MSD carry-free adder and 4.3 billion parallel logic rule base;Through hash length automatic identification, rule dynamic scheduling, segmented operation, pipeline cascade and parallel candidate generation etc., realize 50 bits ~ 50000 bits and greater bit number ultra-wide range hash fast reverse cracking, can give consideration to 50 / 70 / 100 bit short bit width hash economic operation, and support post-quantum hash algorithm extension.This application is strong, cost controllable, cracking speed is fast and can room temperature stable operation, is suitable for password audit, security detection, data traceability and anti-quantum attack etc.

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 present invention discloses a network traffic anomaly detection method based on online continuous learning, which uses an MLP neural network based on wavelet transform to detect network traffic anomalies in an online continuous learning manner, has continuous adaptive intelligent detection capabilities, efficient system performance, excellent detection effects, strong practicality, solves the model forgetting problem in traditional methods, balances real-time and accuracy, reduces resource consumption, improves system scalability, and sets a network traffic reconstruction model based on time series analysis theory and wavelet transform, which significantly improves computational efficiency while maintaining a high sensitivity to sudden anomalies. After using Haar wavelet to perform discrete wavelet transform on network traffic, only a single-layer MLP network is used to learn the network traffic pattern. This lightweight design greatly reduces resource occupation, enables the system to be flexibly deployed on various network devices, and effectively supports anomaly detection tasks in large-scale network environments.

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 invention belongs to the technical field of analog signal collection, and discloses a flight control computer telemetering analog quantity collecting and editing circuit which comprises an input signal conditioning circuit, an analog switch circuit, a voltage following circuit, an ADC sampling circuit, an FPGA master control module circuit and a PCM sending circuit. And after passing through the two voltage following circuits, the signal is output to the two analog-to-digital converters for time-sharing ping-pong alternate sampling, and then the signal is output to the FPGA main control module circuit by adopting a serial interface, and is output in an RS485 signal form after being isolated by a digital isolator. The invention has the advantages of bipolar and wide input range, avoids the measurement error caused by signal amplitude scaling, reduces the measurement error caused by the output impedance of a pre-stage circuit to the ADC sampling hold circuit, improves the sampling precision and the sampling speed, and also reduces the I / O resource occupancy rate of an FPGA (Field Programmable Gate Array).

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.