277 results about "Conversion function" patented technology

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.

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.

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 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 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.

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 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.

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 utility model belongs to a bridge support, and particularly relates to a rubber support with a system conversion function. Comprising a rubber support body composed of horizontal steel plates longitudinally distributed in a rubber block, a pre-buried plate arranged on the upper surface of the rubber support body, an anchoring sleeve fixed to the pre-buried plate and used for being fixed to an upper structure, and a shear plate or a shear frame arranged on the lower surface of the pre-buried plate and matched with the periphery of the rubber support body. The shear plates or the shear frames are fixed through shear bolts. According to the utility model, the problems of large one-time investment and poor long-term operation performance reliability of the existing product are effectively solved. The system switching device has the advantages of being capable of meeting the requirements of system switching under different working conditions, simple in structure, good in part connection reliability, good in protection effect, long in service life, low in production and maintenance cost and the like.

A deep learning model can be trained to provide an estimated image of a patient's interior based on a plurality of image sets, each image set comprising an internal image of a person's interior and an outline image of a person's outer contour at a particular point in time. The model is trained to establish an optimized parameterized conversion function G that specifies a correlation between a person's interior and a person's outer contour based on the image sets. The conversion function G can then be used to provide an estimated image of a patient's interior based on a patient's contour.

The invention belongs to the technical field of reservoir pore structure characterization, and relates to a nuclear magnetic resonance T2 spectrum pore diameter conversion method based on a least square method and mercury injection data. The method comprises the following steps: interpolating and fitting cumulative distribution frequency of nuclear magnetic resonance about relaxation time to obtain a relationship between the cumulative distribution frequency of the relaxation time and the radius of a mercury injection pore; interpolation and fitting are carried out on the cumulative distribution frequency of the high-pressure mercury injection relative to the pore radius, and the relation between the cumulative distribution frequency of the pore radius and the mercury injection pore radius is obtained; establishing an error function based on the relationship between the cumulative distribution frequency of the relaxation time and the mercury injection pore radius and the relationship between the cumulative distribution frequency of the pore radius and the mercury injection pore radius; establishing a conversion function for converting the cumulative distribution curve of the nuclear magnetic resonance T2 relaxation time into a cumulative distribution curve of a high-pressure mercury injection pore throat radius; and substituting the error function into a conversion function to solve a conversion coefficient in the conversion function, and completing nuclear magnetic resonance T2 spectrum aperture conversion.

The invention discloses a password hashing method and device for resisting quantum attacks. The method comprises the following steps: dividing plaintexts into n groups with the same length; determining a state corresponding to each group of plaintexts, calculating an intermediate variable, and calculating the intermediate variable by the conversion function to obtain a state corresponding to a subsequent group; determining an output abstract block based on the calculation result of the last group of plaintexts; the conversion function carries out extrusion calculation on the output abstract block, the first r bits of the result obtained through calculation are spliced with the output abstract block, the spliced result serves as the output abstract block, and the output abstract block serves as the final abstract of the plaintext. The method is suitable for various security scenes such as data integrity verification, digital signature and key derivation, and a core method is provided for constructing an autonomous and controllable post-quantum era password infrastructure.

The application discloses a general lightweight hash processing method and system and a storage medium. A linear feedback shift register (LFSR) is selected, and a register state conversion function is used to perform state conversion on the linear feedback shift register (LFSR). The output of the linear feedback shift register (LFSR) is used to initialize the internal state of a hash algorithm in combination with an initialization algorithm. Data for which a hash value needs to be calculated is input, and an update algorithm is used to update the initialized internal state. The data for which the hash value needs to be calculated is filled data. A determination algorithm is used to post-process the updated internal state to generate a final hash value. The application solves the speed and security problems of existing hash processing, is simple to implement, can flexibly adjust the length and starting point, is beneficial to parallel and rapid calculation, has small required storage space, and can dynamically append a hash word to eliminate collision when a hash collision occurs, thereby improving security.

A multi-tier software-defined power converter system and method are provided. A power converter system includes a plurality of elementary power converter modules and at least one electronic processor. Each base power converter module includes a power switching element and an LC filter, respectively. The at least one electronic processor is configured to: determine operational data for the power converter system; configuring a power conversion function of the plurality of base power converter modules based on the operational data, the power conversion function defining an active base power converter module; determining an electrical operating characteristic of the active base power converter module; generating a control reference target for the active base power converter module based on the electrical operating characteristic; and controlling the power switching elements based on the electrical operating characteristics for the active base power converter module and the control reference target.

The invention provides a terahertz communication platform OMC system PNP plug-in and a dynamic loading method. The method comprises the steps that a PNP plug-in frame of an equipment adaptation layer is constructed in an OMC system, and a tool type is initialized; after original binary data reported by equipment is packaged into a JSparam object, a system dynamically loads a corresponding PNP plug-in according to the type of the equipment to carry out data analysis, converts a physical quantity value into a standard JSON format and returns the standard JSON format to an OMC system; the system carries out storage updating, state display and alarm management on the standardized data; when the OMC issues a control command, the command is converted into a device specific protocol format through a conversion function of the PNP plug-in and then issued to a target device, and transparent management and hot plug type expansion of a device protocol are achieved.

The invention relates to a power prediction control method of a doubly-fed motor converter under a three-phase imbalance condition. The power prediction control method comprises the following steps: step 1, constructing a power prediction model of a three-phase voltage source converter under a three-phase power grid voltage imbalance state; 2, predicting a six-power component change value of the three-phase voltage source converter in the next control period based on the power prediction model; step 3, setting a value function and calculating the action duration of the voltage vector in the next control period by minimizing the function; and 4, realizing power switch control of the three-phase voltage source converter by adopting a space vector pulse width modulation technology. The method has the advantages that the active power, the reactive power and the harmonic components of the three-phase voltage source converter with the alternating-current-to-direct-current conversion function in the doubly-fed motor speed regulation system can be controlled under the condition that the three-phase power grid voltage is unbalanced, and the purpose of improving the efficiency and the control performance of the doubly-fed motor speed regulation system is achieved.

The present application relates to the technical field of circuit, and provides a testing device for digital-to-analog conversion chip, which utilizes standard test codes provided by a processing unit, carries out digital-to-analog conversion through a sampling amplification unit with a D / A chip to be tested to obtain a detection value which can represent the difference between the test voltages after conversion of any two adjacent standard test codes; and utilizes a reference amplification unit with a reference D / A chip to carry out digital-to-analog conversion on the standard test codes to obtain a reference value which can represent the difference between the reference voltages after conversion of the two adjacent standard test codes; then a comparison unit compares the detection value with the reference value to generate a detection signal, a processing unit calculates or obtains a group of static parameter vectors of the D / A chip to be tested according to the detection signal, and judges whether the digital-to-analog conversion function of the D / A chip to be tested is normal according to the comparison result between the variation of the group of static parameter vectors and a preset error range. Thus, the testing time of the digital-to-analog conversion chip can be effectively shortened.

The application provides a quad-rotor 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 following steps: a random control system model is established by fusing wiener process random disturbance, actuator failure and input saturation, a six-degree-of-freedom control problem is decoupled into position and attitude tracking sub-problems and the expected attitude angle is inversely solved; a mixed constraint strategy fusing a delay state conversion function and a nonlinear state-dependent mapping is adopted to apply constraints to state variables; based on an adaptive backstepping control framework, a controller is designed for six-degree-of-freedom sub-channels of the quad-rotor unmanned aerial vehicle, so that the final input control signals of the degree-of-freedom sub-channels are obtained; a comprehensive Lyapunov function covering six degrees of freedom of the unmanned aerial vehicle is constructed, and it is proved that all signals of the closed-loop system are ultimately uniformly bounded. The application can synchronously cope with multiple complex factors, improve flight stability and reliability of the unmanned aerial vehicle in a complex environment, and is suitable for quad-rotor unmanned aerial vehicle control in multiple scenes.

The invention belongs to the technical field of document processing, discloses a full-corner and half-corner distinguishing searching method for PDF and CAJ documents, and solves the problems that full-corner and half-corner character searching of an existing reader is not matched, operation is tedious, and the use threshold is high. According to the method, distinguishing / non-distinguishing full-angle and half-angle mode selection and keyword input are provided through a front-end interface, and a search object containing mode parameters is generated and transmitted to a document search controller through an event bus; the document search controller analyzes the parameters and updates the internal state, when the mode is judged not to be distinguished, a full-angle and half-angle conversion function is called, full-angle numbers, letters and spaces are standardized into half angles and then matched, and if the mode is distinguished, literal matching is directly executed; and a matching search result is notified to the front end and is highlighted. According to the method, manual intervention of a user or external tools are not needed, and the searching precision and efficiency are improved.

The invention provides a tool magazine cam time sequence angle detection method and system based on a sensor, and relates to the technical field of tool magazine cam time sequence angle detection. The method comprises the following steps: periodically acquiring a sensor signal to obtain a background signal in a non-detection period of the tool magazine cam; updating a sensor state reference according to the background signal; during tool magazine cam angle measurement, a sensor probe signal is collected to obtain a detection signal; obtaining a first compensation detection signal according to the detection signal and a sensor state reference; and converting the first compensation detection signal into a time sequence angle value of the tool magazine cam according to a preset conversion function. According to the method, the production efficiency is improved, the equipment operation risk is reduced, the service life of the equipment is prolonged, and the technical problem that stable and reliable data are difficult to provide under complex working conditions through a traditional method is solved.

The utility model discloses atmosphere parameter monitoring equipment based on wireless Bluetooth communication, which comprises a signal conversion function board and a DB9 female joint which are connected with each other, and the DB9 female joint is connected with an atmosphere data computer. Wherein the signal conversion function board comprises a wireless Bluetooth module and a current source driver which are connected with each other, the wireless Bluetooth module is connected with the user side equipment, and when the atmosphere data computer is used for external field ground joint test or troubleshooting, the user side equipment can directly receive the air pressure height and the atmosphere parameters indicating the air speed sent by the atmosphere data computer; and analyzing according to a sending parameter protocol. Whether data output of the atmosphere data computer is normal or not can be directly judged through the user side equipment, fault inspection and maintenance of the atmosphere data computer by external field maintenance personnel are facilitated, and the advantages of being easy to operate and convenient to maintain are achieved. And the selected modules and devices belong to general equipment, so that the system has the advantages of low cost, small size, light weight, simplicity in operation and convenience in maintenance.

The invention discloses a piezoelectric driving system constraint control method based on a predetermined time observer, and the method comprises the steps: designing a predetermined time interference observer in combination with a predetermined time performance function, and guaranteeing that an interference estimation error is converged to a bounded range within a predetermined time; a state conversion function is designed based on the obstacle Lyapunov function, so that the system output can also realize preset time output constraint under the condition that the initial state does not meet the constraint condition; a predetermined time adaptive controller is designed by using a neural network approximation technology, a dynamic surface control technology, a constraint control technology and a predetermined time interference observer technology, so that a closed-loop system realizes predetermined time stability. The problem that an existing disturbance observer cannot be used for preset time control is solved, and the assumption that initial conditions of constrained variables need to meet constraint conditions in constraint control is avoided.

The application discloses a language file correction method and device, and the method comprises the following steps: converting a language file into a default file object in a preset format, and sequentially matching the default file object with file objects in multiple other languages according to reference language files corresponding to default languages; adjusting the file objects in the multiple other languages according to a matching result; starting from a project root path where the language file is located, traversing the language file, and obtaining parameters of all internationalization conversion functions and forming a parameter list through regular matching; and correcting a script content of the language file according to the parameter list and the reference language files. By means of the application, missing multilingual scripts can be automatically detected and supplemented through command calling, thereby effectively reducing the repeated labor of developers and avoiding the script missing problem caused by human factors.

The application relates to the technical field of computer programming, and discloses a Go language structure body automatic conversion method and system. The method first receives the definitions of a source structure body and a target structure body as input, automatically matches the fields of the two structure bodies according to preset rules through a field mapping rule engine, and generates a field mapping relationship; then, based on the field mapping relationship, a code generator is used to automatically generate conversion code containing field assignment and type conversion logic; finally, the generated conversion code is compiled into an executable conversion function, which can convert and fill the data in the source structure body instance into the target structure body instance according to the field mapping relationship during program running. The method realizes the automation of structure body conversion, avoids the error-prone problem of manually writing conversion code, improves the maintainability of the code, significantly improves the conversion efficiency by replacing the runtime reflection mode with code generation, and simultaneously supports batch conversion and concurrent processing, and can meet the performance requirements of large-scale data processing.

A method of calibrating a radar sensor includes receiving radar returns from a plurality of objects based on a radar signal sent from the radar sensor, each of the radar returns having a magnitude, at least a subset of the objects are known static objects, identifying a location and orientation of the radar sensor when the signal was sent, identifying expected reflectance values for each of the plurality of known static objects, calculating a conversion function configured to adjust the magnitudes of each of the radar returns for the known static objects to an estimated reflectance value based on the expected reflectance values for each of the known static objects, and adjusting an output of the radar sensor based on the conversion function.

According to one embodiment, there is provided a storage device comprising a first memory chip that includes a plurality of first memory cells and that includes a first circuit configured to perform address conversion by using a conversion function; and a second circuit that is connected to the first memory chip and that is configured to set a first parameter for the first memory chip, wherein when a first address is transmitted to the first memory chip from the second circuit, the first address is converted into a second address by the conversion function using the first parameter, and then one of the plurality of first memory cells that corresponds to the second address in the first memory chip is accessed.

The invention discloses a data conversion and integration method and system, and the method comprises the following steps: 1, extracting product research and development data from an IPD system through a standard interface, wherein the product research and development data comprises a product structure, technological process design and technological parameters; 2, mapping the extracted product research and development data to a unified data model, wherein the unified data model is subjected to hierarchical structured storage according to the product, the working procedure, the working step and the technological parameters; 3, based on a preset mapping rule and a semantic conversion function, converting the unified data model data into standard process flow data which can be identified by an MES system; and 4, synchronously pushing the converted data to an MES system through an adaptive interface, and recording a data version and an operation log. Through the implementation of the invention, the data model is unified, IPD and MES data semantics are unified, the problems of system isolation and data obstruction are solved, and the automatic conversion rate of research and development data is remarkably improved.