171results about How to "Reduce duplication" patented technology

The invention discloses a key value storage system indexing method oriented to an NVM-NVMe SSD (Non-Volatile Memory-Non-Volatile Memory Express Solid State Disk) hybrid architecture, which comprises the following steps of: constructing a heterogeneous storage architecture taking cold and hot data perception as a core driving mechanism, coordinating and managing two types of storage media, namely a non-volatile memory NVM and a solid state disk NVMe SSD, and realizing efficient identification, layered writing and dynamic migration of cold and hot data. According to the method, the characteristics of low delay, durability and byte addressing of the NVM are utilized, the frequency and I / O overhead of Flush and Compaction operations are reduced in a data write-in path, meanwhile, the problem of mixed storage of cold and hot data is avoided, and therefore the overall performance and storage efficiency of a system are remarkably improved. In addition, by introducing an asynchronous migration module, the method can dynamically adapt to the change of data popularity along with time evolution, and effectively support high performance and high availability of the key value system in long-term operation.

The invention discloses a coated titanium anode and an embedding preparation method thereof, and belongs to the technical field of coated titanium anodes, metal salt powder, an organic additive and inert filler are fully mixed to form embedding agent powder, the mass fraction of metal salt is 45-59%, the mass fraction of the organic additive is 1-5%, and the mass fraction of the inert filler is 40-50%; the sintering treatment is as follows: the pretreated titanium substrate is completely immersed in the embedding agent powder, the sintering temperature is 400-600 DEG C, the sintering time is 1-3 hours, and the heating rate is 5-10 DEG C / min. According to the method, low-temperature sintering is realized by precisely regulating and controlling the components and the proportion of the embedding medium and combining process parameters such as low-temperature sintering, and the damage to a titanium substrate is avoided; and meanwhile, the coating binding force of the titanium anode is improved, the service life of the titanium anode is prolonged, and technical innovation and industrial value are achieved.

The invention discloses an analog integrated circuit test method based on edge calculation, the method is executed by an edge node, and the method comprises the following steps: obtaining a step response waveform of an analog integrated circuit; extracting screening features from the step response waveform; determining an abnormal level and a test type of the screening feature; determining the demand level of the server for the original waveform data based on the abnormal level of the screening feature and the test type; and determining a sending strategy for sending the screening feature and the original waveform data to the server based on the demand level. According to the invention, waiting and repeated interaction of the server can be reduced, and test judgment efficiency and test throughput are improved.

The invention provides a multi-type storage cluster dynamic nano-management method based on a cloud platform, and belongs to the technical field of cloud platform storage resource management, a storage pool is used as a minimum management unit, a configuration center provides a unified nano-management entrance and is associated with a platform initialization process, and initialization of standardized parameters such as a storage cluster IP, an account and the like is automatically completed; after management, block storage, file storage or object storage types and exclusive parameters thereof are configured for the storage pool according to business requirements, and available storage pools are screened according to binding relations when storage services are created, so that resource mismatching is avoided. Bidirectional synchronization is carried out between the operation and maintenance resource management module and the storage module through a full life cycle by using an equipment SN number, so that state consistency and traceability are realized; expansion of newly added storage pools, unbinding of the storage pools and resource recovery are supported, and the resource utilization rate and the operation and maintenance efficiency are improved.

The invention discloses a multi-unmanned aerial vehicle cooperative search method based on dynamic region division and a multi-constraint virtual force field, and aims to solve the problems of low search efficiency, unbalanced load, difficulty in guaranteeing the motion safety of multiple unmanned aerial vehicles and the like in multi-unmanned aerial vehicle coverage search. Firstly, a task area, an unmanned aerial vehicle kinematics model and a sensor sensing model are constructed; then, dynamic region division is carried out based on a weighted Voronoi diagram, the search progress of the unmanned aerial vehicle, the responsibility region area and the obstacle distribution condition are comprehensively considered, and self-adaptive balancing of task loads is achieved; and selecting a target point based on a utility function, and finally designing a multi-constraint virtual force field control method consisting of target attraction, obstacle avoidance force, regional barrier force and exploration force, generating an expected speed meeting speed constraint and obstacle avoidance requirements, and realizing stable and efficient coverage search. The result shows that the multi-machine collaborative search efficiency can be effectively improved, and the method is suitable for disaster search, routing inspection monitoring, autonomous detection in a complex environment and other scenes.

This invention discloses the application of the DNAL1 gene as a target in screening drugs for the prevention and treatment of Zika virus or dengue virus type 2 infection, specifically the application of screening drugs for the prevention and / or treatment of Zika virus or dengue virus type 2 infection with the aim of inhibiting or knocking out the DNAL1 gene. The invention has found that the DNAL1 gene is a key host factor promoting the replication of Zika virus or dengue virus type 2, and that inhibiting the DNAL1 gene through siRNA or knocking out the DNAL1 gene through CRISPR / Cas9 can inhibit the replication of Zika virus or dengue virus type 2. The DNAL1 gene is a potential host factor for flaviviruses, and this invention provides a potential target for the prevention and / or treatment of Zika virus or dengue virus type 2 infection.

The utility model relates to the technical field of cooling devices of roller slag coolers, in particular to a multi-stage cooling device of a roller slag cooler, which comprises an outer roller, an inner roller is mounted on the inner wall of the outer roller, a left roller cover is mounted on the left side of the outer roller, and a right roller cover is mounted on the right side of the outer roller. A discharging opening is formed in the lower end of the right roller cover, an air cooling connector is installed on the surface of the left roller cover and communicates with a gap between the outer roller and the inner roller, a cooling assembly is installed in the right roller cover, and the cooling assembly comprises a rotating connector. According to the utility model, the cooling assembly is arranged, so that the pipelines for conveying the cooling medium are distributed in a multi-stage manner, and the cooling medium can be quickly discharged after the circulation path of the cooling medium is a circle, so that the problems that the circulation path of the cooling medium is repeated, the cooling effect of the cooling medium in the rear area is reduced, and the cooling of the equipment is unbalanced are solved; and the cooling effect and the balance of the cooling device are further improved.

This invention relates to the field of agricultural intelligent equipment and machine vision technology, and discloses a method for weed detection and growth point localization based on shared features. The method constructs a collaborative dataset containing weed detection labels and growth point labels, utilizes a shared feature extraction network to extract multi-scale features, and sets detection task branches and growth point localization branches in a unified feature space to achieve joint modeling of weed detection and growth point localization. Then, adaptive positive sample selection is performed based on the joint cost between candidate sample points and labeled growth points, and joint training is conducted using detection loss, growth point localization classification loss, and growth point localization regression loss. During the inference stage, the method outputs weed detection results and growth point localization results, and generates target point information. This method can reduce redundant calculations and error cascading in the multi-stage processing, and improve the accuracy of growth point localization and the stability of target point output in complex farmland scenarios.

The present application provides a method, apparatus, and computer device for processing a virtual cloud model, belonging to the field of computer technology. The method includes: generating a cloud texture material according to the position information of an initial rendering model in the virtual scene and a preset moving speed; assigning the cloud texture material to the initial rendering model to obtain and display a virtual cloud model; determining an area to be adjusted and adjustment parameters of the virtual cloud model according to the position information of the virtual cloud model and the distance fields of the candidate virtual objects, where the adjustment parameters include: an offset intensity and an offset direction of the area to be adjusted; adjusting the area to be adjusted of the virtual cloud model according to the adjustment parameters to obtain and display the processed virtual cloud model. The present application can reduce the repetition degree and patchiness of the virtual cloud layer, improve the authenticity of the virtual cloud layer, and thus improve the display effect of the virtual cloud layer.

The invention discloses a camera gun video resource positioning method and related equipment. The method comprises the following steps: acquiring camera gun information of each financial network; obtaining structured risk model data for the daily recovery high-risk model troubleshooting index; determining a target financial network point corresponding to each piece of risk model data in the structured risk model data; according to the structured risk model data, the target financial network point corresponding to each piece of risk model data, the camera gun information of each financial network point and the current popularity value of each camera gun, determining a plurality of current retrieval camera guns; according to the current user operation log, updating the current popularity value corresponding to each camera gun; and according to the updated current popularity value corresponding to each camera gun, determining a plurality of updated current retrieval camera guns. The method can achieve the precise pushing of the video resources needed by the daily redisk of the website, improves the video verification efficiency, and can be widely applied to the technical field of artificial intelligence.

The utility model discloses an electrical screen cabinet suitable for device automatic testing. The electrical screen cabinet comprises a screen cabinet main body frame. An automatic test area, a to-be-tested device area and a switch area are arranged in the screen cabinet main body frame; the automatic test area is used for accommodating an automatic test host, and a human-computer interaction interface and an auxiliary I / O device which are connected with the automatic test host; the to-be-tested device area is used for accommodating a plurality of to-be-tested devices; the auxiliary I / O device is respectively connected to the plurality of to-be-tested devices and is used for providing input and output signals for the plurality of to-be-tested devices; the switch area is used for accommodating a switch; and the switch is respectively connected to the plurality of devices to be tested, the automatic test host and the relay protection tester. According to the utility model, the aspects of size, heat dissipation, detachability, mobility, power management and the like are fully considered, and the test efficiency, safety and compatibility can be improved.

This invention relates to the field of image processing technology and discloses a method for comparing and predicting the degradation trend of risk points in external risers across multiple periods. The method includes: acquiring multi-period datasets; establishing unified spatial coordinates and fitting a cylindrical surface model based on facade control points and external riser components to obtain standardized images; performing cross-period registration on the standardized images and unfolding the external riser region into a surface unfolding plane to obtain cross-period co-location images; processing the cross-period co-location images to obtain cross-period comparable images; extracting quantitative indicators within the surface unfolding plane to obtain a set of risk point indicators; constructing a spatiotemporal coupling graph and obtaining the cross-period trajectory of risk points; fusing the risk point indicator set to form a degradation state representation; obtaining the estimated time to reach the maintenance threshold based on the degradation state representation and generating maintenance recommendations. This application improves the accuracy of external riser risk point location and the reliability of trend prediction.

The invention discloses a composite material multi-scale image finite element analysis method considering manufacturing characteristics, and belongs to the technical field of special-shaped composite material structure multi-scale analysis. CT scanning is carried out on the special-shaped composite material structure, an internal image of the special-shaped composite material structure is obtained, statistical parameters of manufacturing characteristics are extracted through an image processing technology, and mesoscopic representative volume units are classified according to the statistical parameters; secondly, a self-consistent clustering analysis method is adopted for model unified order reduction, and an efficient solving database is constructed; mapping corresponding cell element categories according to defect characteristics of each region of the component, realizing scale solution through a concurrent multi-scale framework and a homogenization method, and predicting mechanical response and damage evolution of the structure; and finally, revealing a physical mechanism that macroscopic damage expands along a low-performance weak band based on spatial distribution of cell categories. The method has high calculation efficiency and prediction authenticity, and an effective tool is provided for performance evaluation and process optimization of the defect-containing composite material component.

This application discloses an electrically driven magnetic unlocking device associated with RFID-based vending machines, addressing the issues of low efficiency and high theft risk associated with existing RFID self-service checkout machines requiring separate magnetic unlocking devices. The application includes: a housing installed on the RFID vending machine, with an electrically driven magnet arranged axially inside the housing and an unlocking surface in the top center area; a data cable for connecting the RFID vending machine and the vending product; the electrically driven magnetic unlocking device provided by this application is directly installed on the RFID self-service checkout machine. After the RFID-based anti-theft product is sold, the customer can remove the anti-theft tag using the electrically driven magnetic unlocking device, improving overall efficiency and eliminating the need for additional staff to manage and operate the unlocking device, reducing personnel input in the usage scenario, effectively lowering operating costs and the risk of product theft, and improving the security and overall reliability of the equipment.

The application discloses a kind of block storage performance automation test method, system, storage medium based on FIO, it is related to cloud computing and storage performance test technical field, it is applied to the cloud platform environment including management node and multiple test nodes.By running environment deployment script on management node, automatically complete test node IP management, SSH password-free configuration, firewall processing and according to X86 / ARM architecture adaptive deployment FIO;Run test execution script, precheck is carried out to test disk and time synchronization, start FIO service on multiple nodes according to preset task queue, in turn complete the stress test of covering 4K / 32K / 128K / 1M block size and random, order, 7:3 mixed read-write scene;Run result arrangement script, automatically parse FIO log, extract and uniformly output the IOPS, bandwidth and latency index of each scene.The method reduces manual operation while improving the consistency and result reliability of block storage performance test.

The present application belongs to the technical field of Internet of Vehicles and communication security, and discloses a federated learning training method based on vehicle state perception and applicable to dynamic Internet of Vehicles. The method collects vehicle running state information of vehicle clients, preliminarily screens candidate vehicle clients, calculates comprehensive scores of the screened vehicle clients, adopts a client selection strategy combining selection of the top-ranked clients with random supplementation to determine a set of vehicle clients participating in the current round of federated learning, configures local training parameters for the selected vehicle clients according to vehicle speed and computing capacity, performs local training on local data sets to obtain model updates, performs weighted aggregation on the model updates of the effective participating vehicle clients at the server end, introduces a momentum mechanism to smooth the model update process, and obtains new global model parameters. This method effectively improves the stability, robustness and training efficiency of federated learning in a high-dynamic Internet of Vehicles environment.

This invention discloses a rapid calculation method for the broadband electromagnetic performance of microstrip lines and microstrip-like two-port structures. It relates to the fields of electromagnetic calculation and electromagnetic compatibility-aided design technology, and includes: acquiring and preprocessing the layout data of the microstrip port conductor to be tested, generating a binary layout image; inputting the binary layout image into a pre-trained convolutional neural network, outputting a real-valued encoded prediction vector of the complex mode eigenvalues ​​of the dominant mode at a preset sampling frequency; denormalizing and decoding the prediction vector to obtain complex mode eigenvalue samples; identifying the complex mode eigenvalue samples based on a second-order analytical model and analytically extending them to obtain the broadband modal impedance of the target frequency band; obtaining the port impedance matrix according to the reconstruction relationship, and converting and outputting broadband scattering parameters and electromagnetic performance results. This invention can significantly reduce the computational overhead of full-wave frequency sweep and improve the simulation efficiency of microstrip lines and the iteration speed of EMC design.

The application discloses an interactive method for quickly adding a recurring schedule in a waterfall month view. The method involves the following steps: providing a schedule template selector, performing schedule drop, conflict detection and prompt, and differential submission and server verification in the waterfall month view. The application provides a schedule template selector in the user interface, displays a plurality of predefined schedule templates, selects at least one schedule template from them, applies the schedule template to the corresponding date to generate a schedule instance and performs a preview in response to the user's operation on the date grid, performs conflict detection and prompt during the preview, and submits the data to the server in response to the user's submission operation. The application improves the accuracy and efficiency of the interactive operation process of quickly adding a recurring schedule in a waterfall month view, and solves the problems of incoherence, low efficiency and high error rate in the prior art.

This invention discloses a multi-dimensional resource scheduling method for professional equipment simulation training, specifically relating to the field of professional equipment simulation training management and control. It addresses issues such as inconsistent resource states, execution time conflicts, and on-site occupancy insertions leading to plan mismatches that are difficult to review and correct during concurrent training tasks. The method unifies and merges scheduling console operation logs, node heartbeats, and task registration forms to construct a schedulable resource base map. It then generates a task package matching table and training execution sequence by combining the resource demand and execution dependencies of injected task packages. During execution, it continuously verifies and records abnormal occupancy. Finally, it corrects the matching table and scheduling rules by comparing the baseline image and reset image with the standard playback results, forming an iteratively updatable next round of training execution sequence. Simultaneously, it accumulates samples to support subsequent stable scheduling decisions.

A method is provided for controlling a lighting system having multiple lamps (23) arranged in a physical space. The method includes: providing (110) spatial data of the physical space; detecting (120) at least one lamp positioning gesture of a user (50); and providing (130) visual detection data describing the at least one lamp positioning gesture. The method (100) further includes locating (140) at least one lamp of the multiple lamps at least partially based on the visual detection data, for providing lamp position data describing the position of the at least one lamp in the physical space, such that at least one lamp can be selected for control at least partially based on the lamp position data. Further, a system for controlling a lighting system is provided.

The application provides a tour route planning method and device, belonging to the technical field of path planning, the method comprises the following steps: step 1: constructing a GIS map of a recreation place, marking the entrance, intersection and play point as a point with a unique identifier; step 2: connecting each point to generate a directed path, the directed path includes a one-way path and a two-way path; step 3: calculating the shortest path between any two points by using the Floyd algorithm to generate a shortest route set RS; step 4: receiving the starting point, ending point and traversal point set input by the user, and generating a planned route through the optimal path point bridging and correction algorithm. The tour route planning method and device provided by the application can quickly generate a tour route covering all specified points, with the shortest path, the least repetition and dynamic requirements.

This invention relates to an integrated agricultural monitoring device for unmanned driving, comprising an electric pickup truck as a vehicle-mounted platform. An upper mounting plate is installed on the top of the pickup truck's cargo bed. An unmanned aerial vehicle (UAV) cabin is located at the rear of the upper surface of the upper mounting plate, and an insect monitoring station is located at the front of the upper surface of the upper mounting plate. A vehicle-mounted gimbal camera is mounted on top of the insect monitoring station. Wind direction, wind speed, photosynthetically active radiation (RADR), and illuminance sensors are respectively mounted on the top of the driver's cab of the electric pickup truck via corresponding profile brackets. A server compartment is located between the lower surface of the upper mounting plate and the interior of the cargo bed for data exchange, transmission, and storage between multiple devices, as well as real-time calculation, processing, and fusion analysis of multi-source data. This invention integrates the UAV cabin, four-symptom monitoring equipment, and edge computing or server modules on the vehicle-mounted platform, facilitating collaborative operation between the vehicle-mounted intelligent UAV cabin and the unmanned vehicle-mounted platform, as well as high-performance data processing and remote management.

The invention discloses a flood early-warning decision analysis method based on deep learning, and relates to the technical field of flood early-warning decision, and the method comprises the steps: collecting and aligning rainfall, water level, flow, engineering working condition and exposure data, generating probabilistic risk degree and impact evaluation through combining with a flood or waterlogging prediction module, and carrying out the early-warning decision analysis. Constructing risk-influence objects indexed according to space units and time slices; response telemetering is formed based on early warning sending, reading and handling receipts, and a credibility state and an attention budget state are recursively derived according to crowds and channels; under security constraints and attention budget constraints, candidate early warning strategies including early warning levels, publishing objects, publishing channels and action suggestion packets are graded and screened, graded pushing and disposal distribution are implemented according to selected early warning publishing strategies, relevant parameters are updated through auditing records and post-disaster true value recharge, and the early warning publishing strategies are distributed according to the updated parameters. Therefore, the conversion efficiency of the early warning action is improved while the invalid alarm and the disposal consumption are reduced.

This application discloses a data processing method, electronic device, storage medium, and computer program product. The method includes: upon receiving a first read request from a first user, locking a first buffer using a first lock, wherein the first read request requests to read first information, the first information including information related to each type of kernel event in one or more types of kernel events, and the first information is stored in the first buffer; copying the first information to temporary memory to generate a data snapshot of the first information; copying the data snapshot to a buffer corresponding to the first user; and after the data snapshot is successfully copied to the buffer corresponding to the first user, releasing the first buffer and releasing the first lock. This application improves the security of the process of reading information related to kernel events.

The invention relates to a laser heat treatment control method and device based on visual recognition and application. A laser heat treatment strategy is established; the method comprises the following steps: acquiring a three-dimensional point cloud of a workpiece to be subjected to heat treatment, performing mesh segmentation on the point cloud on a reference projection surface to obtain a plurality of point cloud combinations taking a grid as a unit, and collecting associated information of each point cloud combination; performing heat treatment on the to-be-heat-treated workpiece according to a laser heat treatment strategy, obtaining a dynamic feedback signal, adjusting output power, and realizing heat treatment performance consistency and uniformity control; the equipment comprises a base provided with a position transfer unit, a scanning modeling unit and a heat treatment unit are sequentially arranged on the position transfer unit in the translation direction, a control end controls the position transfer unit to translate and obtains data output by the scanning modeling unit, and after the method is adopted, the heat treatment unit is controlled to execute heat treatment operation; the heat treatment application is realized based on equipment. The quenching efficiency is improved, the quenching integrity and comprehensiveness are ensured, and high-quality and repeatable production can be achieved.

The invention discloses an airport pavement surface layer plate design method and system and a readable storage medium, and relates to the field of airport pavements, in the method, firstly, a block design parameter dictionary and design data are read to obtain a block design base, then point-line construction and seam line preprocessing are carried out by adopting a half-side data structure, and an airport pavement surface layer plate is obtained; and carrying out region segmentation and surface layer information assignment through an anticlockwise minimum region half grid method, then carrying out reinforcement design on underground pipelines, a filling and excavation boundary line passing region and a special-shaped region, and finally generating a three-dimensional model and assigning attribute information. According to the method, the associated configuration of the design parameters, the intelligent judgment of the reinforcement scheme and the seamless integration of the design data and the three-dimensional model are realized, and the design efficiency and accuracy are effectively improved.

The application provides a primer set, which comprises 16 primers shown in SEQ ID NO: 1-16; wherein the upstream primer is a nucleic acid sequence shown in SEQ ID NO: 1-9, and the downstream primer is a nucleic acid sequence shown in SEQ ID NO: 10-16. When the primer set is used for PCR detection, 11 thalassemia copy number variation types can be detected in a single reaction well.

A luminaire (1) is provided. The luminaire (1) comprises one or more light sources (6) for generating light having at least one adjustable light parameter, a driver (21) for driving the at least one light source (6), and a control module (30) for controlling the driver (21). The luminaire (1) comprises at least one stationary component (2) and at least one moving component (3), wherein the luminaire (1) comprises a motion detection system (22) for capturing movements of the at least one moving component (3), the motion detection system (22) is operatively connected with the control module (30), and wherein the control module (30) is configured to control the at least one light source (6) based at least in part on the movements of the at least one moving component (3) captured by the motion detection system (22).

The utility model belongs to the agricultural pesticide application technical field especially relates to a kind of potato ridge directional spray anti-drift cover, comprising: fixed block, clamping assembly is arranged on the fixed block, the fixed block is fixed on spray rod by the clamping assembly;Wind shield, the top of the wind shield is provided with insert block, the fixed block is provided with slot, the slot is compatible with the insert block, the slot is provided with clamping assembly, the insert block is limited with the fixed block by the clamping assembly;The inside bottom of the wind shield is provided with collecting groove, the collecting groove is communicated with a plurality of liquid collecting pieces, the liquid collecting piece is equidistantly arranged along the circumference of the wind shield.The utility model is equipped with the collecting groove and the liquid collecting piece of equidistantly distributed circumferentially in the inside bottom of wind shield, can efficiently recycle the dripping pesticide liquid in the process of spraying, avoid pesticide liquid waste.

The invention relates to a business processing method and device based on a large model, equipment and a storage medium. The method comprises the steps of analyzing input content of a user through a large model, obtaining intention information and entity information of the input content, querying a knowledge graph based on the intention information and the entity information, determining a matching result with the input content and current information of the user, and determining the input content according to the matching result and the current information of the user. And generating a processing flow list and pre-filling information by using the service engine, and generating guidance information according to the processing flow list and the pre-filling information and feeding back the guidance information to the user. User input is accurately analyzed through a large model, intention recognition and entity extraction accuracy is improved, a foundation is laid for personalized business processing, dynamic association and real-time updating of policy information are achieved by querying a knowledge graph, business guidance accuracy and timeliness are ensured, a business engine automatically generates a process list and pre-filled information, and the business efficiency is improved. Repeated input and manual query of the user are reduced, and the business handling efficiency is improved.