6545 results about "Mirror image" patented technology

The invention discloses an object labeling method and system based on laser point cloud, particularly relates to the technical field of laser point cloud processing, and is used for solving the problem of inaccurate labeling result caused by a complex reflection phenomenon caused by a non-Lambertian surface in the prior art. The method comprises the steps of obtaining original point cloud data collected by a laser radar and performing preprocessing; identifying a non-Lambertian reflection region based on the reflection intensity information and the geometric topology feature, and carrying out filtering correction; correcting false mirror image points through multi-layer iteration correction, and reconstructing boundaries to generate corrected point cloud data; grouping and classifying target objects in the corrected point cloud data based on a clustering algorithm combining global features and local features; finely dividing the boundary of the preliminary segmentation result by adopting an attention mechanism network, and evaluating the uncertainty of a boundary region through a local mutual information entropy; and adjusting a boundary division strategy according to an uncertainty evaluation result, and generating an optimized segmentation result.

The invention discloses a mirror image type industry linkage engine system and method based on a knowledge graph, and relates to the technical field of industry linkage engines, and the system comprises a data collection module which collects multi-industry data in multiple modes, and the cleaning accuracy is 90% or above; the knowledge graph construction module is combined from bottom to top and from top to bottom, and is used for distributed storage and block chain evidence storage; the industry mirror image model generation module is used for generating a model through machine learning, and the association accuracy is 95% or above; the linkage analysis and decision module is used for finding a linkage strategy through an intelligent algorithm; and the user interaction module has a graphical interface, is fast in response, can feed back optimization, and supports multi-language and VR / AR display. The system is accurate and efficient in data processing, integrates multi-source data to construct the knowledge graph, is deep and comprehensive in industry analysis, simulates industry relations to assist decision making, is intelligent and reliable in decision making support, provides strategies and evaluation, is convenient and friendly in user experience, improves interactivity through multiple technologies, promotes accurate decision making of enterprises, and promotes collaborative development and innovation of the industry.

The invention discloses an efficient skin disease segmentation method based on multiple scales and a mixed attention mechanism, and the method comprises the steps: firstly carrying out the preprocessing of a skin mirror image through data enhancement, and then inputting the skin mirror image into a convolutional neural network for feature extraction, thereby obtaining a skin lesion segmentation region prediction map. According to the method, the convolutional neural network is applied, multi-scale features of local information and global information can be extracted from a skin mirror image, and the feature representation capability is enhanced through feature fusion. The objective of the invention is to solve the problems of changeable lesion areas, irregular shapes and the like of skin disease images, and improve the accuracy and robustness of skin disease image segmentation.

The invention belongs to the field of data analysis, and discloses a data analysis method for engineering consultation digital intelligent management, which comprises the following steps: mapping multi-project heterogeneous data to a unified three-dimensional space-time grid through space-time grid division to form a grid mapping data set; detecting data format and attribute conflicts based on neighborhood correlation analysis, and distributing calibration data through dynamic weight; missing values and abnormal fluctuations are processed by using a time sequence autoregression model and a smoothing technology, and a complete data set with continuous time is constructed by combining linear interpolation and multi-dimensional data fusion; key indexes are extracted to construct a digital mirror image containing spatial positions, time sequences and attribute association, real-time data are synchronized, and outlier grid points are corrected; and multi-scene operation conditions are constructed based on the mirror image data, and a dynamic adjustment scheme is realized. According to the method, heterogeneous data are integrated through space-time grids, digital twinning and multi-scene simulation technologies are combined, and full-period management and risk intelligent decision-making of engineering data are achieved.

The invention discloses a network attack active trapping method based on intelligent scheduling, and the method comprises the steps: constructing a dynamic honeypot environment according to a real business system mirror image, simulating the interaction logic and data characteristics of a real business system, and generating a honeypot system; analyzing a network equipment log of an access source according to the security situation awareness platform, and capturing multi-dimensional features to identify attack traffic; dynamically generating a drainage strategy according to an identification result of the security situation awareness platform, and seamlessly switching attack traffic to a honeypot system through load balancing equipment; and recording an attack behavior chain in the honeypot system, extracting an attack tool fingerprint and tracking an attacker identity. Through dynamic simulation environment construction, intelligent traffic scheduling, full-chain traceability and intelligent resource management, high-simulation trapping, accurate attack shunting, credible electronic evidence chain generation and efficient resource utilization are realized, and the active defense efficiency is remarkably improved.

The invention provides a multi-core heterogeneous system-oriented startup deployment and cooperative processing method, which comprises the following steps of: when the system runs, obtaining startup codes after a master core and a slave core are electrified, respectively obtaining mirror image files of Linux and RTOS (Real Time Operating System) on the basis of synchronous running and storage partition, and running the mirror image files on the master core and the slave core after moving the mirror image files; and after the heterogeneous operating system is loaded, generating an interrupt signal based on inter-core interrupt and a corresponding register through a CLINT module in the main core, and realizing data communication between the main core and each slave core based on the interrupt signal and the shared memory. By means of the method, after the system is powered on, the multiple cores can synchronously run the starting codes, and time delay and uncertainty possibly caused by one-by-one starting of the single cores are avoided; communication and data transmission among multiple cores are realized through interruption and memory sharing, the synchronism and consistency of data are ensured, and misjudgment and decision errors caused by data delay and inconsistency are avoided, so that the real-time performance of the system is remarkably improved.

The omitted right view is a mirror image of the left view; the broken lines shown in the reproductions depict portions of the indoor air conditioning control unit and form no part of the claimed design.

The invention discloses an SSD testing method, system, device and equipment and a storage medium, and relates to the technical field of solid state disk testing, and the method comprises the steps that firstly, a test request is responded, and a standardized test environment is constructed by deploying a test environment mirror image; and then an iterative testing process is executed on the SSD to be tested in the environment. The key of the iterative test process is that the real-time performance of the SSD to be tested in each round of test can be obtained, and the performance is compared with a preset performance standard. When a comparison result meets a specific condition, the system automatically adjusts and optimizes execution parameters used in the next round of test. According to the method and the device, the dynamic association between the performance indexes and the subsequent test parameters is established, so that the test process can be self-adjusted according to the actual performance of the SSD to be tested, and the limitation caused by the fact that the test parameters are fixed in the prior art is overcome.

A dynamic micro-service migration and route redirection method based on topology awareness comprises the following steps: S1, acquiring cloud computing data center and edge server resource information, an application request stream set and an initialized mirror image deployment matrix in a dynamic scene, and dividing time slot-based input request stream features; s2, in each time slot, a multi-mirror-image preliminary deployment scheme of the micro-service is obtained in a marginal gain optimal mode, and a node routing scheme is redirected according to a mirror image deployment matrix of a physical server node; and S3, according to the resource cost, the multi-mirror-image preliminary deployment scheme and the node routing scheme, screening out topology dependence pairs with abnormal bandwidths in a request stream, and based on topology perception, executing migration operation for micro-service mirror images on server nodes of links with abnormal bandwidths to obtain an optimal joint decision of micro-service deployment and request routing. According to the method, topology-aware micro-service mirror image migration and online redirection probability routing are realized in a dynamic cloud computing data center scene.

The present application belongs to the technical field of material processing, and relates to a mold-free mirror image filament laying method and a mold-free mirror image filament laying system. The method lays a filament ribbon in a mirror image symmetry, without a mold, thereby improving production flexibility and efficiency. The method acquires the temperature and pressure of the filament ribbon in real time, calculates the output power of a heater and the modification value of a filament laying end motion mechanism path by using temperature and pressure differences, and optimizes controller parameters through reinforcement learning, so as to realize stable control of the temperature and pressure. The system comprises a hardware part and a control system. The hardware part includes pressure and heat source components. The control system adjusts through real-time feedback to ensure the quality of filament laying. The present application solves the problem that the temperature and pressure are difficult to accurately control in the process of mold-free mirror image filament laying, and improves the performance of composite products.

The invention relates to an ERP non-core service migration method based on K8s dynamic resource scheduling, and belongs to the technical field of cloud computing containerization and ERP system optimization. The method comprises the following steps: identifying a non-core module based on business criticality, and generating a migration list; an internal interface is transformed into a standard API gateway route, and strong dependency communication is asynchronously decoupled through a message queue. Historical resource load data is collected, a periodic rule is extracted by using a time sequence decomposition model, a reference value is set, and a K8s scheduling parameter is generated. Adopting multi-stage construction to separate compilation and operation environments, and generating a lightweight mirror image; and implementing security reinforcement, and dynamically updating the health examination probe and configuration. Selecting a controller according to stateless and persistent requirements; the locality of NUMA domain resources is optimized through topology awareness scheduling; dynamic storage binds a persistent volume according to QoS; the network policy implements container-level traffic isolation. And dynamically adjusting the resource quota and the number of copies. The efficient and safe migration of the ERP non-core business in the K8s environment is realized.

The invention belongs to the technical field of virtual machine mirror image static scanning, and particularly relates to a virtual machine mirror image static scanning method and system based on a hyper-fusion platform, and the method comprises the steps: creating a to-be-scanned mirror image storage snapshot, employing an index and retrieval algorithm, obtaining a static virtual machine mirror image file, extracting and recording metadata information of the static virtual machine mirror image file, and then carrying out integrity verification; collecting all-around resource data of the hyper-fusion platform in real time, and distributing corresponding resource quotas for scanning tasks by using a preset algorithm; multi-stage deep scanning is carried out, file fingerprints and feature matching are firstly used for preliminary screening, then misjudgment is eliminated through version intelligent comparison, potential high-risk vulnerabilities are deeply excavated for key complex components by adopting static code analysis, and configuration files in mirror images are comprehensively examined through rapid screening and positioning of known malicious software; and a preset algorithm is used for carrying out deep classification arrangement, correlation analysis and summary statistics on various types of result data, so that virtual machine mirror image scanning in a large-scale hyper-fusion cluster is completed in a relatively short time.

Disclosed are apparatuses, systems, and techniques that may use machine learning for reversible translations of speech utterances. The techniques include training and using duplex neural networks (NNs) having a first subnetwork and a second subnetwork that are mirror images of each other. Training data for training the duplex NNs may include a target output that includes a first speech utterance in a first language, a first training input that includes the target output distorted by a noise, and a second training input that includes a second speech utterance in a second language. The duplex NNs may be trained to identify, using the first training input and the second training input, at least one of the target output or the first noise.

The invention discloses a beam current testing device for accelerator beam current debugging, which comprises an integrated short-distance testing device without a focusing or deflecting magnet, and is characterized in that the testing device comprises a vacuum chamber, and at least two beam current position detectors are integrated on the vacuum chamber along the beam current ejection direction of an accelerator; the two beam position detectors connected with the vacuum chamber are symmetrically arranged on the two sides of the vacuum chamber, and the center distance is adjustable; the vacuum pipeline where the beam position detector is located is coaxially provided with a flow intensity measuring device and a beam garbage target, and the flow intensity measuring device is provided with an insulation sealing structure for preventing generation of mirror current; and a vacuumizing device is also integrated on the vacuum chamber. The testing device is not provided with any magnet, does not focus or deflect the beam current, is simple in structure, achieves the measurement of the beam current intensity, beam current energy and beam spot size through the simplest structure, is small in installation space, meets the requirements of ACCT current intensity measurement for isolating mirror current, and can be flexibly installed according to the needs.

The invention discloses a visual combined infrared precast beam appearance defect detection method, and relates to the technical field of civil engineering structure detection and nondestructive testing, and the method comprises the following steps: establishing an illumination time sequence observation layer, collecting multi-dimensional optical parameters aiming at the surface of a precast beam, and generating a dynamic reflection fingerprint baseline; and performing coherent phase decomposition based on the dynamic reflection fingerprint baseline, separating the specular reflection signal from the material texture signal, and calibrating light spot track and intensity evolution data in the unified baseline. According to the method, an illumination time sequence observation layer is constructed to generate reflection fingerprints, coherent phase decomposition and anti-fact playback are combined, reflection interference is stripped, and crack boundaries are recovered; time coordinates are reconstructed through double-mirror-image anchor points, and crack evolution is accurately recovered; phase conjugate projection and light field traction are combined, a dynamic threshold optical fence is established, the exposure rhythm is controlled in a closed-loop mode, and precise detection of the defects of the precast beam is achieved.

The invention provides an intelligent inspection and diagnosis system, method and device for a photovoltaic power station unmanned aerial vehicle and a medium, and the system comprises a heterogeneous perception fusion module which is used for constructing digital mirror image mapping of a power station global physical field through multi-mode sensor space-time coding and electromagnetic fingerprint matching; the group intelligent decision module is used for realizing autonomous task negotiation and anti-fragile path evolution of a multi-unmanned aerial vehicle cluster based on a dynamic Bayesian game model; the embedded diagnostic kernel module is used for running a quantization feature extraction algorithm at an edge computing node to realize component-level defect subsurface-level diagnostic reasoning; the superbody self-evolution module is used for continuously reconstructing a diagnostic knowledge graph by means of a genetic programming framework to realize Darwin asymptotic optimization of a system cognitive architecture; the problems that in unmanned aerial vehicle inspection, fault type judgment and accurate geographic positioning cannot be conducted online, photovoltaic array arrangement changes and sudden shielding scenes cannot be self-adapted, and transmission bandwidth limitation and analysis lag are likely to happen in a 5G weak coverage area are solved.

Systems and methods for a self-adjusting vehicle mirror. The mirror automatically locates the face of the driver or another passenger, and orients the mirror to provide the driver / passenger face with a desired view from the mirror. The mirror may continue to reorient itself as the driver or passenger shifts position, to continuously provide a desired field of view even as he or she changes position over time. In certain embodiments, the mirror system of the disclosure can be a self-contained system, with the mirror, mirror actuator, camera, and computing device all contained within the mirror housing as a single integrated unit.

The invention relates to a spacecraft thermal control film coating defect identification method based on a multi-dimensional attention mechanism. According to the method, a correlation mapping model based on monitoring data-detection image sensitive features-coating defects is constructed, and accurate feature information extraction of the multi-type defects of the coating on the surface of the spacecraft by a convolution kernel is realized by constructing a channel-space attention mechanism convolution neural network; through modes of random rotation, mirroring, symmetry, blurring, brightness change, contrast adjustment, saturation change, Gaussian noise addition and the like, data expansion is performed on variety defect categories with relatively small sample sizes, a data set is enriched, and the problem that the sample sizes of multiple types of defects are unbalanced is solved; a lightweight module (LM-Block) and a feature enhancement module (FEM-block) based on an attention mechanism are designed on the basis of a GhostConv self-adaptive ghost convolution module, and a coating defect detection model architecture based on efficient self-adaptive convolution and channel-spatial pyramid pooling is proposed on the basis of the modules to realize accurate recognition of defects.

The invention discloses a radiation-receiving type low-profile dual-beam array antenna and a folding decoupling design method. The low-profile dual-beam array antenna is composed of a transmission metasurface, a polarization conversion metasurface and a horn feed source. The transmission metasurface is formed by periodically extending and arranging m * m radiation-receiving units in a plane at equal intervals, and efficient transmission and spin decoupling focusing phase regulation and control of electromagnetic waves of a specific frequency band are achieved. The radiation-receiving unit is composed of three layers of metal and two layers of dielectric plates. The polarization conversion metasurface is formed by periodically extending and arranging n * n polarization conversion units in a plane at equal intervals, and efficient reflection, polarization conversion and wave beam non-mirror image deflection phase regulation and control of electromagnetic waves of a specific frequency band are achieved. The polarization conversion unit is composed of two layers of metal and a layer of dielectric plate. The low-profile dual-beam array antenna provided by the invention can generate two independently regulated orthogonal circularly polarized waves through spin decoupling under the excitation of a circularly polarized wave feed source, and has the remarkable advantages of high aperture efficiency, low profile and the like.

The invention relates to the technical field of medical rehabilitation training, in particular to an intelligent hand training method and system, electronic equipment and a storage medium, and the method comprises the steps: receiving a training mode instruction selected by a user; real-time biomechanical data of the affected side hand are collected through a multi-source sensor array, the real-time biomechanical data comprise finger joint angles, electromyographic signal intensity and a touch pressure distribution matrix, and when the affected side hand is in a mirror image training mode, the six-degree-of-freedom motion trail of the uninjured side hand is synchronously collected; calling a corresponding algorithm model for processing based on the training mode, and generating a control instruction set containing pneumatic pressure parameters, electrical stimulation waveforms and virtual interaction instructions; the control instruction set is sent to a server side, a mechanical glove arranged on the hand of the affected side in a sleeving mode executes corresponding pneumatic-electric combined driving operation, and multi-sense feedback is synchronously presented. According to the application, the composite requirements of patients in different rehabilitation stages on training mode diversity, control accuracy and interactive immersion can be met.

The invention provides a cache data cleaning method and device, electronic equipment and a storage medium, and relates to the technical field of computer data storage.The method comprises the steps that a transition controller is used for replacing a fault controller for mirror image recombination, and a temporary mirror image pair is formed; it can be ensured that the basic data redundancy and the read-write function of the storage system are not seriously influenced; when the fault controller is recovered, the complex fault condition can be sensed in real time; once the concurrent fault occurs, the data cleaning process is adjusted according to execution state information of the data cleaning process, team information of the temporary mirror image pair and concurrent fault information of a concurrent fault controller; the data of the transition controller can be effectively cleaned under the condition of concurrent faults, and the fault-tolerant capability of the storage system is improved; when the cache data of the transition controller is cleaned, the overall performance and efficiency of the storage system are improved through an effective fault processing mechanism and accurate data cleaning process adjustment.

The invention discloses a multi-dimensional dynamic model sieve path platform construction method based on digital twinning. The method comprises the following steps: S1, constructing a multi-dimensional dynamic digital twinning model based on sieve path basic information; s2, screen channel operation data are collected in real time and mapped to the digital twinborn model to generate a dynamic twinborn mirror image; s3, based on the digital twinborn model and the screen way real-time operation data, analyzing the dynamic deviation between the digital twinborn model prediction parameters and the actual screen way operation data; s4, generating a parameter regulation and control instruction based on a dynamic deviation analysis result, adopting a closed-loop feedback mechanism to perform self-correction on parameters of the digital twin model, and synchronously optimizing operation parameters of a physical entity sieve channel to form construction of a sieve channel platform; according to the system, a closed-loop link of data acquisition, model diagnosis, parameter optimization and feedback execution is constructed, so that the problem of static parameter mismatch caused by working condition change of a traditional digital twin model is effectively solved, and the abnormal working condition identification response time is shortened.

Devices and methods for capturing vehicle undercarriage images are described. In some instances, a mirror assembly may be used to reflect images of portions of a vehicle undercarriage into a field of view of a camera to be captured, e.g., as a vehicle passes over the mirror assembly. Composite images may be reconstructed from the reflected portions of the vehicle undercarriage, and analysis may be performed on those reconstructed, composite images to identify features in the composite vehicle undercarriage images.

The invention relates to the technical field of container arrangement, in particular to a container-based strategy arrangement response method and system and a computer storage medium, and the method comprises the steps: constructing a container mirror image through a container engine; obtaining a resource use sequence of each load parameter of each container under the same priority on the nodes in the cluster; acquiring a local feature vector and a dynamic feature value of each sub-sequence; determining a first relative difference and a second relative difference; determining the relative dynamic difference of each load parameter of each container under the same priority; determining a resource adjustment coefficient of each container under the same priority; carrying out resource configuration adjustment on the containers with the same priority; and deploying and monitoring the container through a container arrangement tool based on the container mirror image and the resource allocation strategy adjusted by the resource configuration. According to the invention, when the resource configurations with the same priority conflict, the resource configurations can be dynamically adjusted, and the response speed, accuracy and efficiency of the network security event are improved.

The invention provides an asynchronous service deployment method and device for an edge cloud network, and the method comprises the steps: checking whether a current time slot meets a layer cache updating condition or not in response to a deployment request for a target micro service received in the current time slot; if not, for any deployable node, scheduling the scheduling information of any required mirror image layer and the data access rate between the nodes from any other node according to the mirror image layer required by the target micro-service, the memory space of the corresponding mirror image layer and the micro-service deployment information under the current time slot; and constructing a total layer loading time function that the target micro-service is deployed on the node and changes along with the time slot, so as to construct a service utility function that corresponds to the node and changes along with the time slot in combination with profit information and starting cost of the node, thereby determining a deployment strategy of the target micro-service, and starting the target micro-service based on a mirror image layer required by the target micro-service. The method effectively balances the service performance and the resource utilization rate.

The invention provides a data synchronization method which can be applied to the technical field of computer communication. The data synchronization method comprises the steps that a synchronization request initiated by a local server is responded, a virtual disk mirror image generated by converting a target file through the local server is received through a preset transmission channel, and the synchronization request carries an editing mode identifier of the target file; mounting the virtual disk mirror image to a serial bus control port of a remote server, so that the virtual disk mirror image can be identified as a removable storage device; if the editing mode identifier represents that the target file is in an editable state, acquiring change information generated by modifying the target file by a local server and / or a remote server by monitoring a file change event on the removable storage device in real time; and dynamically updating the virtual disk mirror image based on the change information to complete modification synchronization of the target file. The invention further provides a mirror image mounting method and device and a storage medium.

The utility model belongs to the technical field of frame dismounting devices, and relates to a photovoltaic module frame dismounting device capable of self-adapting to glass breaking of various sizes, which comprises a working table, and a long-edge frame dismounting mechanism and a short-edge frame dismounting mechanism which are respectively arranged on the working table, the long-side frame disassembling mechanisms and the short-side frame disassembling mechanisms are arranged in pairs, the paired long-side frame disassembling mechanisms are distributed at the positions close to the long sides of the photovoltaic panel frame in a mirror image mode relative to the central position of the workbench, and the long-side frame disassembling mechanisms downwards press the photovoltaic panel and then outwards push out the long sides of the photovoltaic panel frame. The paired short-edge frame disassembling mechanisms are distributed at the positions close to the short edges of the photovoltaic panel frame in a mirror image mode relative to the central position of the workbench, and the short-edge frame disassembling mechanisms downwards press the photovoltaic panel and then push the short edges of the photovoltaic panel frame outwards. According to the utility model, the paired long-side frame dismounting mechanisms and the paired short-side frame dismounting mechanisms are respectively arranged, so that the four frames are dismounted, the cutting of four corners is not needed, the frame dismounting operation is simple, and the reutilization rate of the frames is improved.

The invention relates to the technical field of metal material detection, in particular to a titanium alloy bar machining quality detection method and system, and the method specifically comprises the steps: carrying out the superpixel segmentation of the section of a titanium alloy bar, constructing a mirror image edge texture saliency value of a superpixel block based on the proportion of edge points in the superpixel block and the edge gradient, and carrying out the detection of the machining quality of the titanium alloy bar. Constructing the mirror image texture intensity of the titanium alloy bar by combining the gray level distribution concentration characteristics of the titanium alloy bar, and performing image segmentation on the section of the titanium alloy bar; and in each segmented region, based on the edge line fuzzy degree difference and the pixel gray level difference of each super-pixel block and the rest of super-pixel blocks, combining a mirror image edge texture saliency value to construct a segregation evaluation value of each super-pixel block, and based on the segregation evaluation value, carrying out titanium alloy bar segregation quality defect detection. The titanium alloy bar segregation defect identification capability is enhanced, the titanium alloy bar segregation defect detection accuracy under the titanium alloy bar mirror image scene is improved, potential problems can be found earlier, missing detection is avoided, and the defective rate is reduced.

A distributed feedback (DFB) laser includes a planar substrate; a laser section; and a mirror section optically coupled to said laser section. The laser section includes a front facet, an active layer substantially parallel to the planar substrate but not coplanar with the planar substrate and configured to emit light through the front facet, and a first Bragg grating arranged in a planar layer substantially parallel to the active layer but not coplanar with the active layer and on a side of the active layer opposite to the planar substrate. The mirror section is optically coupled to the laser section, and includes a second Bragg grating configured to reflect light towards the front facet. The second Bragg grating is arranged in a planar layer that is coplanar with the active layer.

According to the automatic deployment method and device based on intelligent scheduling, the equipment and the storage medium provided by the invention, the code file is sent to the version control system through the integrated development environment, so that the version control system checks the code file; receiving an audited code file sent by the version control system; constructing a mirror image file according to the code file passing the auditing; determining a test address of the mirror image file according to a resource use condition; testing the mirror image file at a test address; and starting the container in the target production environment to deploy the mirror image file passing the test. Through automatic code auditing, mirror image construction and resource scheduling, the time and workload of manual operation are remarkably reduced, and the efficiency of the whole deployment process is improved. Moreover, by monitoring the resource use condition of the nodes in real time, the resources can be effectively allocated through intelligent scheduling, and the application is ensured to run in the optimal environment, so that the performance and the response speed of the application are improved.