74 results about "Reverse mapping" patented technology

Errors in network service provisioning are upstream causes to service disruptions interruptions, and failures experienced by a telecommunications network’s subscribers. These challenges are overcome by the disclosed systems for diagnosing and auditing service provisioning errors in telecommunications networks. By addressing discrepancies between Customer Facing Services (CFS) as selected by network subscribers (e.g., voice calling, messaging, roaming, unlimited or limited broadband access) and the current states of network elements in the telecommunications network, the system ensures accurate service delivery. The system performs real-time diagnosis by comparing expected network service configurations, derived from queried subscriber CFS, with the actual network states or configurations through a reverse mapping process. The system's auditing process reduces operational costs and obviates existing techniques of manual inspection.

The invention discloses an agent construction and development system based on a knowledge graph, and the system comprises a data collection and ontology construction module which is used for generating basic graph data; the polymorphic knowledge cell construction module is used for generating a machine-readable rule and an evidence template; the semantic mapping and deduction module is used for determining forward and reverse mapping modes and setting a consistency threshold value and a violation degree weight; the task analysis and planning module is used for outputting a feasible path and generating a plan sequence and tool arrangement; the execution and correction module is used for generating an evidence packet, constructing a forward chain, carrying out reverse reconstruction by utilizing reverse mapping, generating anti-fact candidates and writing back or backing back the anti-fact candidates; and the version and audit module is used for generating a version fingerprint for the polymorphic knowledge cellular graph which is written back and providing query and audit functions. According to the method, adaptive planning, reliable execution and traceable auditing of the intelligent agent in a dynamic task are realized by constructing polymorphic knowledge cells and cross-layer semantic mapping.

The invention discloses an image return method and device of an endoscope, a storage medium and a terminal. The method comprises the following steps: acquiring an initial image and a triaxial angular velocity signal of the endoscope; according to the triaxial angular velocity signal, attitude calculation is carried out by using a quaternion differential equation to obtain an attitude quaternion, and the attitude quaternion is updated in real time; performing interpolation on the attitude quaternions at adjacent moments within one frame of exposure time to obtain a row-level quaternion and generate a row-level rotation matrix; and based on the row-level rotation matrix, performing return and compensation on the initial image by using reverse mapping and bilinear interpolation to obtain a return image. The problems of universal joint deadlock and function failure caused by the universal joint deadlock in Euler angle attitude calculation are avoided, line-by-line compensation is carried out through an interpolation algorithm, the jelly effect is eliminated, the problems of large delay, insufficient real-time performance and difficulty in integration in a limited space in post-processing of a traditional software algorithm or an external micro-control unit are avoided, and the method is suitable for being applied to the field of Euler angle attitude calculation. And the imaging requirement of clinical operation of the medical endoscope can be better met.

The invention discloses a cross-view multi-target collaborative perception and global tracking method. The method comprises the following steps: receiving original video streams of different views in parallel; carrying out feature extraction and content perception feature recombination processing; establishing a homography transformation matrix representing the mapping relation between the visual angles; performing forward geometric mapping by using the homography transformation matrix, and performing reverse mapping, secondary confirmation and state updating; a joint cost model based on space-time-appearance fusion is constructed, the potential association degree of unassociated residual targets is quantified, and missing targets are recalled; performing duplicate removal and optimization on the targets in the association set; and training and optimizing the network. According to the embodiment of the invention, the method achieves the capturing of a pixel-level target, and improves the texture and edge expression capability of a tiny target in a deep feature map. Efficient fusion of multi-dimensional spatio-temporal information among visual angles is realized; higher robustness and tracking continuity are achieved, and the integrity and fineness of a final trajectory result are improved; and the recall is ensured, and the generation of redundant tracks is avoided at the same time.

The invention discloses a fuzzy video real-time jitter removing method and system, and the method comprises the steps: distributing feature points through multi-scale FAST detection, lightweight MLP detection and dynamic weight, combining a MobileNet-FPN network and the lightweight MLP dynamic weight to extract the robust features of the feature points, modeling the global matching relation of the feature points of two adjacent frames through Transform, and carrying out the real-time jitter removing of a fuzzy video. And a Bayesian adaptive RANSAC algorithm is adopted to realize high-efficiency mismatching pair elimination, and finally an affine transformation matrix is solved and reverse mapping is performed to compensate jitter. According to the method, while the real-time performance of the mobile terminal is ensured, the image stabilization precision in a violent shaking scene is remarkably improved.

The invention discloses an unmanned aerial vehicle aerial photography target detection method and device and a storage medium, and relates to the technical field of computer vision. The method comprises the steps of constructing a detection model based on a YOLO framework, replacing a convolution module of a feature pyramid in a backbone network of the detection model with a block local-global attention module, designing a triple feature fusion module in a neck network, and adopting a dynamic detection head fusing a triple attention mechanism at a detection head; the block local-global attention module is used for decomposing an input feature map into position-weighted sub-map blocks and fusing the sub-map blocks, enhancing each sub-map block in a compact feature space in parallel by utilizing unified perception context attention, meanwhile, carrying out implicit modeling on a global context, and finally, recovering an original structure through reverse mapping; and training and verifying the detection model by using the unmanned aerial vehicle aerial image data set. According to the method, high-speed reasoning is kept, and meanwhile, the detection precision of tiny and dense targets is remarkably improved.

The invention discloses a memory controller, a memory address processing method thereof and a computing system.The method comprises the steps that a reverse mapping table between a system physical address area and an available DRAM physical address area is obtained through bad area data based on a DRAM, and during running, the memory controller sends a system physical address sent by a processor to the DRAM physical address area according to the reverse mapping table; the method comprises the following steps: dynamically remapping to a DRAM physical address of a non-failure unit, and generating a corresponding control signal for accessing the DRAM, thereby shielding a DRAM physical region containing a failure storage unit, providing a continuous and complete system physical address space for an upper layer, improving the effective utilization rate of the DRAM and the operation stability of a computing system, and improving the reliability of the computing system on the premise of not changing the memory access mode of a processor. And the risk that the whole memory is unavailable due to local storage failure is reduced.

The invention relates to the technical field of AR interaction control, in particular to an AR glasses cursor control method and system based on head posture induction, and the method comprises the steps of data acquisition, mapping establishment, displacement accumulation and cursor control. Through the AR glasses equipment body, the natural rotation posture of the head of the user is collected and used as an input instruction, and a reverse mapping normal form is constructed, so that the physical direction of cursor movement is opposite to the physical direction of user head rotation, and a non-intuitive chasing relation between the cursor and a target is avoided; intuitive mapping between natural rotation of the head of the user and cursor control of the AR glasses is achieved, accurate control over the cursor can be achieved without additional auxiliary actions or a controller, and convenience and privacy are high.

The invention belongs to the field of computer system compatibility and peripheral interfaces, and relates to a domestic desktop terminal peripheral compatibility method and system based on protocol reverse mapping and a computer readable storage medium. According to the method, after peripheral access, three-layer analysis of physical layer signal reversal, data link layer structure reversal and application layer semantic reversal is carried out in sequence, and an equipment interface type, a frame structure and instruction semantics are dynamically identified. And based on the reverse result, dividing the equipment into a standard protocol or a private protocol through a protocol type decision, respectively routing the protocol to a drive straight-through module or an instruction translation executor for processing, and finally providing compatible services for a domestic service system through a unified virtual equipment interface. According to the method, the adaptation problem of a document-free private protocol is solved, plug and play of a Wintel peripheral by a non-x86 architecture domestic terminal is achieved, the protocol compatibility coverage rate is remarkably increased, meanwhile, the CPU occupancy rate is reduced, and the harsh requirement for millisecond response of specific industries such as electric power is met.

A computing device comprises a processor, a table walker, and a memory storing a segmented reverse map table in multiple non-contiguous portions of the memory. The table walker is configured to translate a virtual memory address specified by a memory access request to a physical memory address associated with the virtual memory address; and provide a requester associated with the memory access request with access to the associated physical memory address in response to an indication at the reverse map table that the requester is authorized to access the associated physical memory address.

The application discloses an image righting method and device of an endoscope, a storage medium and a terminal, and comprises the following steps: acquiring an initial image and a three-axis angular velocity signal of the endoscope; obtaining a posture quaternion by using a quaternion differential equation according to the three-axis angular velocity signal for attitude solution; updating the posture quaternion in real time; interpolating the posture quaternion of adjacent time points to obtain a line-level quaternion and generate a line-level rotation matrix within one frame exposure time; and righting and compensating the initial image to obtain a righted image by using reverse mapping and bilinear interpolation based on the line-level rotation matrix. The application avoids the problems of gimbal lock and functional failure caused by the gimbal lock in Euler angle attitude solution, eliminates the jelly effect by using an interpolation algorithm for line-by-line compensation, avoids the problems of large delay, insufficient real-time performance and difficulty in integration in a limited space caused by traditional software algorithms or external micro control unit post-processing, and better meets the imaging requirements of medical endoscope clinical operation.

The application belongs to the field of computer system compatibility and peripheral interface, and relates to a domestic desktop terminal peripheral compatibility method and system based on protocol reverse mapping and a computer readable storage medium. After the peripheral is accessed, the method sequentially performs three-layer analysis of physical layer signal reverse, data link layer structure reverse and application layer semantic reverse, dynamically identifies device interface type, frame structure and instruction semantics. Based on the reverse result, the device is divided into standard protocol or private protocol through protocol type decision, and is routed to a drive pass-through module or an instruction translation executor for processing, respectively, to finally provide compatibility services for domestic business systems through a unified virtual device interface. The application solves the adaptation problem of undocumented private protocols, realizes plug-and-play of Wintel peripherals for non-x86 architecture domestic terminals, significantly improves protocol compatibility coverage, reduces CPU occupancy, and meets the stringent requirements of millisecond-level response in the power and other specific industries.

The embodiment of the invention provides an image processing method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring a reverse mapping tensor; in the on-chip storage space of the calculation unit, a buffer area used for image distortion transformation is distributed; writing forward mapping information of a group of pixels corresponding to a first sliding window into the buffer area based on the first sliding window on the reverse mapping tensor; moving one first unit block in response to the first sliding window, writing forward mapping information in a first area in the buffer area into an off-chip storage space of the computing unit, and moving forward mapping information in a second area in the buffer area to the first area; and determining a forward mapping tensor for the reverse mapping tensor based on the forward mapping information written in the off-chip storage space to perform image warping transformation on the input image. In this way, the image distortion transformation efficiency can be improved.

The invention belongs to the field of integrated circuits, and particularly relates to an efficient and accurate mapping relation reverse construction method for an FPGA configuration file. The efficient and accurate mapping relation reverse construction method for the FPGA configuration file comprises the steps that S1, device structure information of a target FPGA is obtained through an ISE tool, and a two-dimensional plane matrix mapping library of the target FPGA is constructed; the two-dimensional plane matrix mapping library of the target FPGA comprises all on-chip resources, basic information of the on-chip resources and a mapping relation between the on-chip resources and configuration file coding information; s2, constructing a mapping relationship between smaller resources site in all on-chip resources and circuit functions and configuration parameters supported by the resource type; s3, aiming at a smaller resource site in each FPGA on-chip resource, generating configuration files of instantiated functional circuits with different configuration parameters in batches; s4, according to the coding rule of the configuration file, constructing a mapping relation between the address of the configuration file and the resource where the functional circuit is located; and S5, comparing the difference of the configuration files corresponding to different parameters of the same circuit function realized by the same resource in parallel, and forming a mapping library file between the circuit function and the configuration parameters thereof and the configuration file addresses. The problems that in the prior art, reverse engineering of the FPGA configuration bit mapping relation is low in accuracy, low in speed and small in application range are solved.

This disclosure provides a fall recovery method and apparatus for a tethered differential omnidirectional wheeled humanoid robot, relating to the field of control technology. The method includes: inputting the current angle, angular velocity, and current of the motors into a forward mapping network to obtain joint state estimates; inputting the joint state estimates, the current posture and angular velocity of the base, and the robot's current contact state into a reinforcement learning policy network for policy reasoning to obtain joint space action commands; inputting the joint space action commands into a reverse mapping network to obtain motor space commands; and controlling the motors to execute fall recovery actions based on the motor space commands. This disclosure absorbs the non-ideal characteristics of the tethered differential control interface layer through the forward and reverse mapping networks, enabling the policy to learn and think in joint space. After deployment, the learned mappings correctly drive the motors, improving the accuracy and smoothness of the robot's recovery actions.

The application discloses a kind of server power consumption adjustment method, electronic equipment and storage medium, especially in the technical field of server operation, comprising: in the case where determining that the server to be processed satisfies power consumption adjustment condition, based on the reverse mapping relationship of the power consumption load association model of the server to be processed, determine the reverse mapping function corresponding to power consumption load association model;Reverse load analysis is carried out on the target power consumption data of the server to be processed using the reverse mapping function, and the target load threshold value matched with the target power consumption data is obtained;Based on target load threshold value, generate the power consumption adjustment strategy of the server to be processed, to adjust the power consumption of the server to be processed according to power consumption adjustment strategy.It can effectively adapt to the dynamic change of server load, accurately capture the complex association between load and power consumption, realize the flexible and accurate adjustment of server power consumption, and guarantee the stable operation of server.

The application discloses a somatosensory simulation platform rehabilitation effect driving control method based on a reverse generation model, belongs to the technical field of medical robots and rehabilitation training equipment, and constructs a single / multimodal somatosensory stimulation-response database; a golden sample set with a peak value of neural activation is screened; a neural-physical reverse mapping model based on a probability generation mechanism is established, a conditional probability distribution from a neural activation feature space to a physical stimulation parameter feature space is learned; a target neural activation is set, and an expected physical stimulation parameter is generated by using the trained model; a kinetic safety filter is constructed to generate a final safety control instruction; and the safety control instruction is used to drive the somatosensory simulation platform to move. The application further provides a somatosensory simulation platform rehabilitation effect driving control system based on a reverse generation model, which comprises a data acquisition and screening module, a reverse reasoning calculation module, a safety control module and a collaborative execution module. The application improves the effect, accuracy and safety of somatosensory simulation training.

The invention discloses a geographic information data production, quality inspection and warehousing integrated system and method in a CAD environment, and relates to the technical field of data processing. Historical geographic information data and drawing rule configuration files are collected to establish a geographic information drawing standard and construct a drawing sample library; performing mapping association processing on the historical geographic information data in the sample library; the method comprises the following steps: establishing a geographic information drawing standard, generating geographic information data in real time, checking the real-time production geographic information data based on the established geographic information drawing standard, and carrying out hierarchical feature extraction on the checked geographic information data and the historical geographic information data subjected to mapping association processing through a feature extraction method based on the checked geographic information data; after the extraction is completed, the two groups of layered extraction features are compared, meanwhile, the attribute data of the checked geographic information data are recorded in a reverse mapping mode, and the recorded attribute data are subjected to warehousing processing, so that the accuracy of data warehousing storage is improved.

This application discloses a visualization method, system, and medium for bidirectional linking of data resource catalogs and storage. The method includes: obtaining the logical data catalog and physical storage structure, where the catalog contains logical objects and the storage contains physical objects; receiving the user-selected mapping mode and configuring corresponding mapping rules; constructing a bidirectional reversible mapping relationship between logical and physical objects based on the rules, including forward and reverse mapping functions; persistently storing the mapping relationship in a mapping relationship database and generating version information. This application overcomes the drawbacks of independent catalogs and storage, allowing business personnel to locate physical storage locations from the catalog and technical personnel to locate business items from fields. Version management enables change recording, retrospection, and accountability, laying a technical foundation for data lineage and collaborative governance.

The invention discloses a fringe projection profilometry-based three-dimensional restoration method and system, and mainly solves the problems of large calculation amount, texture loss and training data shortage in traditional three-dimensional restoration. The system comprises an MEMS fringe projection unit, an intelligent repair calculation unit and a 3D printing execution unit. According to the method, firstly, an FPGA is used for controlling an MEMS galvanometer to conduct high-precision three-dimensional scanning, then three-dimensional data are subjected to dimensionality reduction to form a depth map, intelligent prediction and texture repair of a damaged area are completed by improving a U-Net generative adversarial network, a repair point cloud model is obtained through reverse mapping, the repair point cloud model is imported into a 3D printer, and precise copying of an entity is completed through automatic parameter matching. According to the method, a whole-process closed loop from damaged entity scanning to complete entity printing is realized, the method has the characteristics of high-precision reconstruction, vivid texture repair and automatic manufacturing, the three-dimensional repair requirements of most objects in the real world can be met, and cultural relic digital protection is a key application scene.

1. Name of the product in this design: Reverse mapping equipment. 2. Purpose of this design: To interfere with the navigation and positioning functions of illegal surveying equipment, simultaneously blocking the collection of real geographic information and misleading surveying data, thereby safeguarding the sovereignty of spatial geographic data of key locations from the source. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a lightning arrester risk level dynamic adjustment control method based on reinforcement learning, and the method comprises the steps: collecting multi-source operation state data of a lightning arrester, and carrying out the preprocessing of the data, and generating a standard data set; analyzing phase characteristics in a multi-band frequency domain, embedding a manifold space, and calculating risk potential energy; the risk potential energy and the manifold are used as input, and the FEDform is improved to predict the multi-step risk potential energy; constructing a safety barrier based on a prediction result, and performing reverse mapping to generate a safety action constraint; executing a three-layer reinforcement learning strategy under constraint, and generating candidate action output; and fusing the verification candidate actions, generating an adjustment instruction, and issuing the adjustment instruction to the control device. According to the invention, by fusing the phase coupling risk modeling, the prospective risk prediction and the reinforcement learning safety decision mechanism, the prospective, dynamic and safe controllable adjustment of the risk level of the lightning arrester is realized.

The invention provides an intelligent image style real-time conversion method and system based on deep learning, and relates to the technical field of deep learning, and the method comprises the steps: extracting content features through a multi-level convolutional neural network, analyzing the spatial complexity distribution, and building a reverse mapping relation between a spatial position and a style fusion proportion; and performing iterative adjustment based on the semantic deviation index and a style intensity parameter set by a user, and finally realizing style conversion. According to the method, self-adaptive style fusion can be realized while the semantic content of the image is kept, and the quality and efficiency of image style conversion are improved.

The present application relates to a communication method and device. The method comprises: a terminal device receiving downlink data, wherein the downlink data carries a reverse mapping identifier; and on the basis of first-protocol-layer header information and second-protocol-layer header information of the downlink data, the terminal device generating a QoS rule for uplink data, wherein a first protocol layer comprises at least one of an IP layer, a TCP layer, and a UDP layer. The embodiments of the present application can improve the accuracy of performing QoS control over data streams.

This invention relates to the field of industrial automation and intelligent manufacturing technology, and discloses an intelligent combustion control method and system for a steel rolling heating furnace. The method includes acquiring flow rate, furnace temperature, environmental data, and response parameters; aligning the flow rate and calculating a weighted ratio based on the furnace temperature; filtering and mapping if the ratio exceeds the limit to obtain a proportional imbalance offset; extracting and aligning feature vectors based on the offset to obtain a fluctuation feature sequence; mapping the sequence to a frequency range to obtain an amplitude threshold, and if the threshold is exceeded, performing reverse mapping to obtain adjustment suggestions; combining the response parameters with time axis alignment and gain mapping to obtain an optimization scheme; and performing time axis offset processing and deviation calibration to obtain the final control sequence. This method can achieve real-time and accurate closed-loop control under complex dynamic disturbances.

The application discloses a condylar resorption preoperative prediction method and system based on imageomics feature absolute difference screening, and belongs to the field of medical image processing. The method comprises the following steps: collecting preoperative and postoperative condylar CBCT images of a patient, respectively extracting an imageomics feature set and calculating the absolute difference of the corresponding dimension features to generate a feature difference vector; calculating the correlation of the vector and a clinical outcome, and screening out feature dimensions sensitive to bone resorption changes; locking the corresponding core feature subset in the preoperative image through reverse mapping; training a machine learning prediction model using the subset, and constructing a prediction model that only depends on the preoperative image. Compared with a traditional preoperative feature model, the application can effectively screen out core features with "evolution directionality", which helps to improve the prediction performance, feature compression effect and robustness of the model, and provides technical support for preoperative evaluation of condylar resorption risk after orthognathic surgery.

This invention relates to the field of internet search services and discloses a big data-based investment lead analysis system, comprising: a query parsing unit that calls an event sequence template defining meta-event types and standard relative time window constraint intervals; a distributed retrieval and aggregation unit that retrieves and aggregates meta-event types to entity objects; a temporal logic verification unit that statistically analyzes the global document frequency of meta-events and generates a scaling factor through reverse mapping, dynamically corrects the time window, and determines only entity objects that pass the corrected dynamic verification interval as qualified; and an object sorting unit that generates a sorting score based on the template matching completeness. This invention constructs a reverse coupling mechanism between density and window to adaptively compress temporal logic boundaries in high background noise environments, maintaining the retrieval signal-to-noise ratio and logical confidence.

The invention relates to a memory processing method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: determining a first number of times that a to-be-processed physical page is currently referenced by a process; determining the to-be-processed physical page of which the first frequency is greater than a preset frequency threshold value as a target page; wherein the preset number of times threshold is determined based on the number of times that the reversely mapped physical page is referenced by the process and the duration of reversely mapping the physical page; and obtaining current state information of a memory, and storing the target page to a corresponding storage space based on the current state information. Through the method provided by the invention, excessive consumption of system resources caused by repeated reverse mapping of the target page can be reduced.

The application discloses a kind of multi-state flow error compensation methods based on deep learning, comprising the following steps: S1, acquisition and processing multidimensional working condition parameters, generate working condition state label, establish state transition diagram;S2, input physical dual layer, execute positive and negative mapping, adaptively correct parameter, output consistency feature;S3, combine feature with state label, establish causal error atlas model, decompose error and output distribution;S4, error distribution is corrected based on consistency feature, and candidate compensation is generated in combination with state label and transition diagram;S5, input candidate compensation amount, set compensation and risk agent, based on confidence game optimization output compensation;S6, according to the compensation weight correction flow value, output final compensation result, execute drift component online update.The application realizes high-precision, continuity and safe robust compensation of flow measurement error under multiple working conditions by introducing physical dual constraint, causal error atlas and game type compensation gate.

This application discloses a memory fault handling method, electronic device, storage medium, and program product, relating to the field of server operation and maintenance technology. This application identifies fault modes such as row failures through multi-dimensional feature recognition and performs reverse mapping based on geometric physical addresses to achieve preventative batch isolation of multiple pages on the same physical row. This avoids the problem of repeated operating system jitter or even crashes caused by fault propagation in related solutions. By establishing a soft-first-hard-later filtering mechanism, PPR requests are suppressed for faults that have been successfully isolated by soft methods, avoiding the consumption of effective and irreversible hardware repair resources. Simultaneously, a dynamic gating strategy based on the remaining resource status repairs only high-risk faults when resources are exhausted, extending the lifespan of the memory module. The operating system feeds back the soft isolation execution results to the firmware, solving the blind spot of no one taking over after soft isolation failure in related solutions, ensuring that each memory risk point has a definite final handling status, and effectively reducing the risk of server downtime.