403 results about "Conversion function" patented technology

The invention belongs to the crossing field of electronic information, artificial intelligence and geophysics, and particularly discloses a controllable source electromagnetic data strong interference suppression method and system, and the method comprises the steps: inputting controllable source electromagnetic data to be processed into a controllable source electromagnetic data classification model; obtaining first noise-free controllable source electromagnetic data and noise-containing controllable source electromagnetic data; converting the noise-containing controllable source electromagnetic data into two-dimensional image data through a dimension conversion function, and inputting the two-dimensional image data into the DWTSC-UNet denoising network model to obtain a denoising data result; performing dimension inverse conversion on the de-noised data result by adopting a dimension conversion function to obtain second noiseless controllable source electromagnetic data; and combining the first noiseless controllable source electromagnetic data and the second noiseless controllable source electromagnetic data to obtain complete noiseless controllable source electromagnetic data. According to the invention, high-precision and high-efficiency suppression of strong interference can be realized.

The invention provides a heat storage heat pump system control method based on a physical information neural network, and belongs to the technical field of heat storage pump system intelligent control. Aiming at the problems that in the prior art, an algorithm is difficult to adapt to dynamic energy consumption requirements, engineering application of a model is difficult due to building space heterogeneity, high-order RC model prediction credibility is weak, engineering feasibility is poor and the like, a solution combining a physical information sequence to sequence neural network technology and a finite-state machine control strategy is provided. On the model level, a 2R2C resistance-capacitance RC model of building temperature change is established, and then a PI-Seq2seq prediction model is proposed based on the physical model. On the control flow optimization level, on the basis of an industrial and commercial time-of-use electricity price policy, an FSM control model is designed, a system state set is defined, parameters and a transfer function are input, and a control rule is constructed in combination with the working period of a building heat pump and the characteristics of a heat storage tank. And finally, energy consumption cost optimization and indoor temperature stabilization under the peak-valley electricity price are realized.

The invention provides a mechanical arm predefined time trajectory tracking control method and system based on time delay estimation, and relates to the technical field of multi-degree-of-freedom mechanical arm trajectory tracking control. Constructing a predefined time error conversion function to define a system error and conversion error system, designing a barrier function and a feedback control rate based on the conversion error system, and designing a Lyapunov function to prove the stability of the system so as to track an expected trajectory; according to the method, time delay information is deeply fused, dependence on a complex model approximate structure is not needed, stable convergence of the mechanical arm system state within predefined time can be achieved when a mathematical model is not accurate, the system control performance and robustness are effectively improved, and the requirement of modern industry for mechanical arm high-performance control is met.

The invention provides a flexible convolution operation accelerator based on a systolic array. The flexible convolution operation accelerator is used for solving the technical problem that the hardware scale of an existing convolution operation accelerator is difficult to flexibly adjust according to different hardware platforms. The system comprises an input cache module, a pulsation matrix, an accumulation logic unit and an output cache module which are connected in sequence, the input cache module comprises a weight cache module and an image cache module, and the weight cache module and the image cache module are both connected with the pulsation matrix. The weight cache module, the image cache module, the pulsation matrix, the accumulation logic unit and the output cache module are all connected with the controller, and the controller and the output cache module are both connected with an external memory through a BUS. The systolic array and the flexible cache module are utilized, the functions of data storage and data format conversion can be achieved at the same time, hardware logic overhead is reduced, high memory access efficiency is achieved, and configuration of the accelerator scale and various convolution parameters is supported.

The invention discloses a video geographic positioning method and device based on iron tower monitoring, and the method comprises the steps: constructing a monitoring video homonymy point sample library, collecting the homonymy point data of a monitoring video and a remote sensing orthoimage, and storing a reference image; establishing an initial calibration mapping relation, and realizing coordinate transformation of the remote sensing image and the video image through projection transformation; matching a reference image closest to the real-time video frame from a reference image library through image retrieval; dense matching of inclined images is carried out by using a deep learning model, and automatic alignment of feature points is realized; and resolving a video image coordinate to a geographic coordinate through homography transformation and an initial calibration model to complete high-precision positioning. According to the method, the bidirectional conversion function of finding the land by the video and finding the video by the land is supported, the application efficiency of iron tower monitoring in the fields of cultivated land protection and the like is effectively improved, a good positioning effect is still achieved for complex scenes such as plains, mountainous regions and the like, and corresponding technical support is provided for wide application of iron tower video monitoring.

The invention discloses an SATA (Serial Advanced Technology Attachment) bus system based on an FPGA (Field Programmable Gate Array) and an implementation method thereof, and the SATA bus system comprises a hierarchical protocol processing unit which is used for realizing command analysis, data encapsulation, channel coding and signal conversion functions; the control module is used for receiving a read-write command and read-write parameters sent by the host, and then controlling the hierarchical protocol processing unit to read target data of the storage device according to the read-write command and the read-write parameters, or controlling the hierarchical protocol processing unit to write the target data into the storage device; the command and data processing module is used for caching read-write commands, read-write parameters and upper computer data in FIFO (First In First Out) in a layered manner; and the test data processing module is used for testing whether the storage equipment reads and writes the data normally to obtain a test result. According to the method, the interface design is simple and clear, the delay is low, the data reading and writing function of the storage medium can be tested without intervention of a host or a CPU, and the method can be widely applied to the technical field of serial advanced technology accessory interface control.

An image processor for a medical observation device includes a color conversion function, The image processor is configured to retrieve an input pixel of a digital input color image and a location of the input pixel in the input color image, and apply the color conversion function to the input pixel to generate an output pixel in a digital output color image. The color conversion function depends on the location of the input pixel.

Medical image enhancement processing techniques are described that employ an artificial intelligence (AI) model with editable output image appearance control. An example, computer-implemented method comprises generating a transformed version of a medical image via execution of an AI transformation model on the medical image, wherein the AI transformation model comprises a neural network that predicts values of parameters of a transformation function based on processing the medical image, or a down sampled version thereof, via the neural network, and a transformation module that generates the transformation function using the values and applies the transformation function to the medical image, resulting in generation of the transformed version of the medical image. The AI transformation model comprises an editable output image appearance control functionality that enables a user to control and edit the transformation operations performed by the transformation function on the medical image in association with viewing the results in real-time.

The invention provides a motion control method of a coupled output limited Mecanum wheel trolley based on a neural network and event triggering, a storage medium, equipment and a computer program product. The motion control method comprises the following steps: adopting a conversion matrix of Mecanum wheels; establishing a dynamic model of the Mecanum wheel trolley; decoupling the coupling output limitation, and converting the coupling output limitation into time-varying non-coupling limitation; improving the design of a sliding mode surface by adopting an error conversion function and a barrier function, and constructing a sliding mode controller of a trolley with limited coupling output; constructing a neural network controller; introducing an event triggering mechanism, and constructing a neural network sliding mode controller for the coupled output limited trolley based on the neural network and sliding mode control; and verifying the stability of the designed controller. According to the invention, the trajectory tracking problem of the Mecanum wheel trolley with limited coupling output based on the neural network and event triggering is solved.

The invention belongs to the technical field of spacecraft attitude control, and discloses a spacecraft attitude preset performance control method and equipment, and a computer storage medium. The method comprises the following steps: S1, establishing a spacecraft error attitude dynamics and kinematics model considering unknown bounded input time delay; s2, constructing a preset performance function, and performing preset performance constraint on the attitude error of the spacecraft through the preset performance function; introducing an error conversion function, and converting a constrained attitude error into an unconstrained error; performing state conversion on the spacecraft error attitude dynamics and kinematics model to obtain a spacecraft error attitude dynamics and kinematics model related to state variables; and S3, designing a preset performance control law based on the tracking error variable, so that the attitude error moves in a preset performance function envelope. According to the method, errors caused by unknown bounded input time delay can be compensated, and meanwhile, the steady-state and transient-state performance of spacecraft attitude control can be met.

The invention relates to a knowledge base construction method and system for multi-source heterogeneous files, and the method comprises the steps: receiving Word, PDF, Excel and other multi-source heterogeneous files, and converting the multi-source heterogeneous files into standardized representation through a file analysis function; an event boundary recognition technology fusing rule matching, entity recognition, semantic similarity and large language model verification is adopted, and a cross-paragraph complete business event is accurately extracted; generating structured information through an information extraction function; the information is converted into vectors, full-text indexes and a graph database to be stored by means of a multi-dimensional storage conversion function; and verifying and correcting an extraction result through a quality auditing function, and finally outputting a knowledge base containing an event set, an entity relationship and vector representation. According to the method, the problem of knowledge fragmentation in traditional document processing is effectively solved, and the consistency, the searchability and the reasonability of knowledge are remarkably improved.

The invention provides an automatic pretreatment format conversion method for parachute inflation finite element simulation. The automatic pretreatment format conversion method comprises the following steps: carrying out geometric modeling and finite element mesh division on a canopy and a parachute cord by utilizing Gmsh; a preprocessing format conversion system is developed, grid files and calculation parameters are uploaded, and the conversion system automatically stores, calculates and integrates data and converts preprocessing files into input files needed by finite element calculation; then, finite element simulation analysis of the typical parachute inflation process is carried out through CalculiX, so that the reliability of the automatic conversion function of the pretreatment format is verified; the automatic preprocessing format conversion system suitable for parachute inflation finite element simulation and the graphical user interface of the automatic preprocessing format conversion system are developed, full-automatic processing of files is achieved, the use threshold of a user is lowered, and simulation efficiency and application benefits are improved.

The invention discloses a parallel receiving method and system for high-speed 16 QAM (Quadrature Amplitude Modulation) data demodulation, and the method comprises the following steps: S1, carrying out the sampling of received intermediate-frequency 16 QAM data through a high-speed ADC (Analog to Digital Converter), and obtaining four paths of signals through the serial-to-parallel conversion function of the ADC; s2, converting the four paths of signals into 32 paths of parallel signals at a conversion rate of 1: 8 by using a serial-to-parallel converter special for the FPGA; and S3, carrying out digital orthogonal down-conversion on the 32 paths of parallel signals to obtain 16 paths of baseband signals of an I path and a Q path, and then sequentially carrying out matched filtering, timing synchronization, blind equalization, carrier synchronization, frame synchronization and 16QAM judgment decoding to complete parallel receiving. According to the invention, the requirement of high bit rate is met based on three key technologies of timing synchronization, blind equalization and carrier synchronization, and the receiving and demodulation recovery functions of high-speed data in a 16 QAM modulation mode can be effectively completed.

A method for integrating data from different data sources into a knowledge graph storage unit including:transferring data from different data sources into a receiving and extraction module of an extraction-transformation-loading, ETL, data pipeline framework;extracting the loaded data using an extraction data frame and transferring the extracted data to a transformation module;transforming the extracted data using transformation functionalities and transferring the transformed data to a mapping module;mapping the transformed data using mapping rule functionalities and transferring the mapped data to a post-processing module;post-processing the mapped data using a library and transferring the post-processed data to a loading module; andloading the processed data by the loading module to the knowledge graph storage unit;wherein the mapping module uses a JSON-based mapping notation to convert the transformed data into a serialized form, is provided.

The invention provides an identity verification method and device, and the method comprises the steps: carrying first information and second information in a signaling for requesting the verification of the identity validity of a terminal, and enabling a first network element to serve as a conversion function entity; the first information used for verifying the identity legality in the first network is converted into the second information used for verifying the identity legality in the second network, signaling conversion between networks of different systems is achieved, existing EIR equipment can be reused to achieve verification of the identity legality of the user equipment, new EIR equipment does not need to be built, and expenditure is reduced.

The invention provides a quadrotor unmanned aerial vehicle fault-tolerant control method and system considering random disturbance, and belongs to the field of unmanned aerial vehicle flight control. The method comprises the steps that a random control system model fusing Wiener process random disturbance, actuator faults and input saturation is established, a six-degree-of-freedom control problem is decoupled into a position and attitude tracking sub-problem, and an expected attitude angle is inversely solved; applying constraints to the state variables by adopting a mixed constraint strategy fusing a delay state conversion function and nonlinear state dependence mapping; based on a self-adaptive backstepping method control framework, a controller is designed for six-degree-of-freedom sub-channels of the four-rotor unmanned aerial vehicle, and final input control signals of the degree-of-freedom sub-channels are obtained; and constructing a comprehensive Lyapunov function covering six degrees of freedom of the unmanned aerial vehicle, and proving that all signals of a closed-loop system are finally consistent and bounded. According to the invention, multiple complex factors can be coped with synchronously, the flight stability and reliability of the unmanned aerial vehicle in a complex environment are improved, and the method is suitable for multi-scene quadrotor unmanned aerial vehicle control.

A digital power conversion system is described with a control system, power system, DC bus system, and AC bus system housed in a case. The user-programmable control system outputs pulse-width modulated (PWM) signals and input / output (I / O) signals. The power system uses these PWM signals to drive integrated power transistors to achieve a variety of power conversion functions. The DC bus system includes positive and negative DC buses accessible via positive and negative DC terminals and is connected to the power system, while the AC bus system comprises AC buses accessible via AC terminals and is also connected to the power system. The system provides an efficient and integrated power electronics platform at its rated ranges by harnessing digital power conversion and other techniques.

The invention relates to a multi-agent adaptive cooperative fault-tolerant tracking method, device and equipment, and the method comprises the steps: estimating the current state of a navigator through employing a distributed high-order sliding-mode observer according to interaction data and historical state data of the navigator, and obtaining a current state estimation value of the navigator, a tracking error is calculated according to the current state estimation value, the constrained tracking error is converted into an equivalent unconstrained tracking error by adopting an error conversion function, and a self-adaptive cooperative fault-tolerant controller is adopted according to the current state estimation value of the navigator, the unconstrained tracking error and the current state data of the follower; and under the constraint of a fixed time preset performance function, obtaining a current control signal meeting the preset tracking precision under the preset error convergence time, and executing the current control signal to realize tracking control under the composite constraint. By adopting the method, accurate control can be carried out under composite constraints.

The invention discloses an output consistency control method based on a one-dimensional fluctuation partial differential multi-agent system, and relates to the cross technical field of multi-agent system control and partial differential equation application, and the method comprises the steps: constructing a dynamic model, an interference model and a reference signal model of a multi-agent system; constructing a directed communication topological graph including a leader and a plurality of agents; based on the directed communication topological graph and the reference signal model, respectively constructing reference signal observers of the informed intelligent agent and the uninformed intelligent agent; based on the interference model, constructing a local interference observer of the intelligent agent; constructing a conversion function, and converting the dynamical model into a dynamical model under the auxiliary system according to the conversion function; constructing a control law for the dynamical model under the auxiliary system; according to the control law, adjusting the state of each agent under the auxiliary system until the tracking error is zero; according to the invention, the output consistency of the multi-agent system can be realized in a complex environment.

The application provides a method for camera color calibration applied to an electronic device, the electronic device comprising a camera array (including a first camera) and a high-resolution multispectral camera, the method comprising: synchronously collecting original images of a first scene by the first camera and the high-resolution multispectral camera, wherein the first camera collects a three-channel image (a first image), and the high-resolution multispectral camera synchronously collects an M-channel image (a second image), M being a positive integer greater than or equal to 3; converting the second image from the M-channel image to a three-channel image by a first conversion function; taking the converted three-channel image as a reference to perform color calibration on the first image to obtain first color parameters for color adjustment of the first camera. In the method, the color of the array camera is aligned with the color perceived by the high-resolution multispectral camera, and the authenticity and consistency of the color of the image captured by the camera in the camera array can be improved.

The invention provides a single-port input / output multi-state adjustable waveguide mode converter and a preparation method thereof, and belongs to the technical field of on-chip silicon-based polymer hybrid integrated waveguide mode converters. According to the invention, a double-layer MZI parallel combination structure is adopted, independent electrodes are configured at specific positions of interference arms, and corresponding modulation signals are applied, so that accurate regulation and control of an input light field are realized. When E00-mode signal light is input, the structure can dynamically realize the conversion function of three modes of E00 / E01 / E10 on the premise of keeping single-port output, and the mode conversion efficiency reaches 95%. And the device is compatible with a standard silicon-based CMOS (Complementary Metal-Oxide-Semiconductor Transistor) process, is beneficial to reducing the manufacturing cost and promoting large-scale integrated application, is suitable for the fields of a high-capacity mode division multiplexing system and multi-dimensional optical signal processing, and can meet the urgent requirements of modern optical communication on high-integration-level, reconfigurable operation and low-cost devices.

The present invention relates to the field of control and regulation technology, and in particular to a sludge drying process control system based on coating backmixing. The present invention deploys a corrosion-resistant micro fiber grating sensor array to capture material deformation stress data in real time, and outputs dynamic viscosity parameters through a conversion function; a temperature gradient monitoring module reconstructs the spatial thermal field distribution; and a flow synchronization module generates a dynamic material balance report. The plastic risk analysis module integrates multi-source data. The multi-agent decision module analyzes risk signals, and the Nash equilibrium arbitrator dynamically allocates weights to generate a Pareto optimal instruction set; the equipment collaboration module executes distributed voting to verify the feasibility of instructions. The pulse neural network chip of the safety interlock module implements triple modulation descaling control. The present invention constructs a closed-loop optimization chain of perception, analysis, decision-making and execution to achieve adaptive and precise control of the backmixing ratio, thereby improving drying efficiency and operational stability.

A method and system for efficiently suppressing strong interference in artificial current source electromagnetic data with high accuracy is provided. [Solution] The method inputs the artificial current source electromagnetic data to be processed into an artificial current source electromagnetic data classification model to obtain first noise-free artificial current source electromagnetic data and noise-containing artificial current source electromagnetic data, converts the noisy artificial current source electromagnetic data into two-dimensional image data using a dimension conversion function and inputs it into a DWTSC-UNet noise removal network model to obtain the noise-removed data result, performs inverse dimension conversion on the noise-removed data result using the dimension conversion function to obtain second noise-free artificial current source electromagnetic data, and combines the first noise-free artificial current source electromagnetic data and the second noise-free artificial current source electromagnetic data to obtain complete noise-free artificial current source electromagnetic data.

The invention provides a projection device and a projection correction method. The projection device comprises a projection module, a zoom projection lens, a sensor, a focal length adjustment module, a zoom ratio adjustment module, a detection module and a control unit. The zoom ratio adjusting module adjusts the position of a lens group in the zoom projection lens so as to adjust the zoom ratio of the projection image generated by the image light beam generated by the projection module projected by the zoom projection lens; the control unit calculates a focal length adjustment parameter by using an automatic focusing conversion function according to a detection value generated by the displacement of the lens group detected by the detection module and the projection distance sensed by the sensor, and controls the focal length adjustment module to adjust the imaging focal length of the zoom projection lens according to the focal length adjustment parameter. According to the projection device and the projection correction method provided by the invention, a good focusing effect can be achieved in a scene matched with any zoom ratio within an effective projection distance.

The invention relates to the technical field of display, particularly provides an image display control method of wearable equipment, a medium and the wearable equipment, and aims to solve the problems that visual angle presentation and conversion in an existing AR / VR system depend on large-amplitude physical actions of a user and environment image information resources are wasted. The method provided by the invention comprises the following steps: in response to starting of an environment perception mode, driving a plurality of cameras to simultaneously acquire images around a wearer of the wearable equipment, splicing the images to form an environment image surrounding the wearer, and presenting the environment image on a display screen; in response to starting of the visual angle conversion function, acquiring the watching time of the sight line of the wearer in the local area of the environment image; and in response to detecting that the fixation time exceeds a preset first time threshold value, moving the environment image to enable the local area to be presented at the central position of the display screen. View angle conversion is controlled through eye movement, the whole environment image can be watched without limb movement, meanwhile, the image utilization rate is optimized, and various use requirements of a user are met.

The invention discloses an apparatus and method for position detection and monitoring, and a computer readable storage medium. The apparatus includes a motor controller that controls a motor including a plurality of motor windings. During operation, the motor controller receives an error value indicative of a difference in a current angular position of a rotor in the motor relative to a reference angular position of the rotor. Based on the error value, the controller selects a first angle-torque conversion function from a plurality of angle-torque conversion functions of the segmented angle-torque conversion functions. Via the first angle-torque conversion function, the controller derives a torque value indicative of a magnitude of torque to be applied to the rotor. The controller applies a torque indicated by the torque value to the rotor.

The invention discloses a transformer overheating fault prediction method and system based on a nonlinear degradation model, and the method comprises the steps: collecting the concentration data of gas dissolved in oil of a transformer in a set time period before a fault according to a sampling interval, and obtaining historical data after preprocessing; establishing an exponential degeneration orbit model based on a thermal aging equation, fitting the exponential degeneration orbit model with historical data by adopting a nonlinear least square method, and judging whether the equipment is in a stable degeneration stage or not according to a fitting result; when the equipment is in a stable degradation stage, original time is converted into an accumulated degradation amount by using a time scale conversion function, and linear processing of a historical data sequence is completed; solving a pre-established nonlinear degradation model based on the linearized data; and deducing the fault time probability density by using the solving result of the nonlinear degradation model, and predicting the overheating fault of the transformer. According to the invention, abnormal interference caused by random factors can be effectively identified, and the sensitivity and reliability of fault early warning are improved.

The invention relates to the technical field of vehicles, in particular to a controller, a data transmission method and system and a vehicle, and aims to improve the conversion efficiency between DDS data and CAN data. The controller comprises a CAN module and a DDS module. The CAN module comprises a CAN sending interface and a DDS receiving interface; the DDS module comprises a DDS sending interface and a CAN receiving interface; the first target module analyzes first data from the target message in response to the received target message, and sends the first data to the first receiving interface through the first sending interface, so that the second target module calls a protocol conversion function to convert the first data into second data; when the first target module is a CAN module, the target message, the first data, the first sending interface and the first receiving interface are a CAN message, a CAN data, a CAN sending interface and a CAN receiving interface respectively; the second target module and the second data are a DDS module and DDS data respectively.

The invention provides a network-on-chip test file generation method and device, electronic equipment and a computer readable storage medium. The method comprises the steps of obtaining test scene information of a network-on-chip; the test scene information comprises a plurality of test scenes, and each test scene comprises a group of test parameters; performing text data extraction on the test scene information through a conversion function of the analysis component, and converting the format of the extracted text data into a target format to obtain first data; the target format is matched with a format supported by the analysis component; and generating an on-chip network test file corresponding to each test scene according to the first data and the sequence generation function. According to the embodiment of the invention, the efficiency of generating the test case can be improved, so that the test efficiency and test quality of the network-on-chip are improved.

The invention provides PCM (pulse code modulation) conversion equipment supporting multivariate data fusion, which belongs to the technical field of aircraft data acquisition systems, can reduce the occupied space of an airborne test environment to the greatest extent on the basis of a miniaturized Mini VPX case architecture, and adopts a modularization mode to design a PCM data conversion board card to realize the most important data format conversion function. The ZYNQ-based PCM data conversion board card can work in three working modes and can be compatible with most of data acquisition equipment on a current machine; according to the invention, the respective advantages of the PS end and the PL end of the ZYNQ are fully exerted, and the peripheral connection and the data processing are reasonably designed; the PS end completes Ethernet development, network packet processing, PCM data frame integration and the like, the PL end completes PCM data flow receiving, analysis, extraction and other work, the PS and the PL conduct data communication through an AXI bus, and it is guaranteed that data processing is efficient.