512 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 relates to a control method and system for a flexible joint robot under input delay, and the method comprises the steps: carrying out the modeling according to the motion state of the flexible joint robot, and introducing the input delay into a constructed model; according to the physical characteristics of the flexible joint robot, the constructed model is converted into a state equation; introducing a specified performance function with preset time into the state equation obtained by conversion; constructing an error conversion function, and converting a tracking error constraint problem in the control period of the flexible joint robot into a bounded problem by utilizing the error conversion function and a specified performance function; through an auxiliary system and coordinate transformation, the influence of input delay is eliminated, and a compensated tracking error signal is obtained; and defining a performance index function including an error index and a control input index, designing a virtual controller by taking the minimization of the performance index function as a target, and obtaining unknown parameters in the virtual controller by using a neural network.

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 relates to the technical field of computer programming, and discloses a Go language structural body automatic conversion method and system. The method comprises the following steps: firstly, receiving definitions of a source structure body and a target structure body as input, automatically matching fields of the two structure bodies through a field mapping rule engine according to a preset rule, and generating a field mapping relationship; then, based on the field mapping relation, a code generator is used for automatically generating a conversion code containing field assignment and type conversion logic; finally, the generated conversion codes are compiled into an executable conversion function, and the function can convert data in the source structure instance according to the field mapping relation during program running and fill the data into the target structure instance. According to the method, automation of structural body conversion is achieved, the problem that errors are prone to occurring when conversion codes are written manually is solved, and the maintainability of the codes is improved; the mode of reflection during operation is replaced by code generation, so that the conversion efficiency is remarkably improved; meanwhile, the method supports batch conversion and concurrent processing, and can meet the performance requirements of large-scale data processing.

The invention discloses a circuit for simultaneously switching transimpedances of multiple channels by adopting a shift register. The circuit is characterized in that an FPGA (Field Programmable Gate Array) is connected with a signal acquisition and conversion circuit module through an analog-to-digital converter and a clock generation and distribution module; the signal acquisition and conversion circuit module comprises a bias voltage setting module, a pi-type filter, a photoelectric sensor and a transimpedance amplification module which are connected in series; the input end of a transimpedance amplifier in the transimpedance amplification module is connected with a transimpedance gain access circuit, the transimpedance gain access circuit is connected with the output end of the transimpedance amplifier through an analog switch, and the control end of the analog switch is connected with the FPGA through a shifting register. According to the circuit and the method for simultaneously switching the transimpedances of the multiple channels by adopting the shift register, the transimpedance gain of the transimpedance amplifier is judged and switched according to the size of the signal, the range of the input signal is expanded, the resolution is improved, and the IO resources of the FPGA are saved and the cost is reduced by utilizing the storage function and the serial-parallel conversion function of the shift register.

The invention discloses an underwater vehicle tracking control method with state constraint under input saturation. The method comprises the following steps: firstly, constructing an AUV control system containing model uncertainty and unknown interference based on a kinematics model and a dynamics model of the AUV, and obtaining a reference trajectory of a tracking target; establishing an error model of the AUV control system in combination with the error conversion function, and obtaining a design variable related to the position tracking error; meanwhile, deducing a design variable related to a speed tracking error; constructing a fixed time integral sliding mode lumped disturbance observer based on a design variable related to a position tracking error; and finally, combining a fixed time integral sliding mode lumped disturbance observer and design variables related to a speed tracking error to construct a trajectory tracking control system, and designing a fixed time convergence sliding mode controller by using a continuous input signal and a position and speed adaptive law. According to the invention, the tracking error is stabilized to zero in a fixed time; and continuous control input is realized.

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 relates to a gateway-based multi-protocol environmental data fusion acquisition method, which comprises the following steps of: acquiring a source protocol and a target protocol of an environmental sensor gateway, and constructing a field mapping relation library between the source protocol and the target protocol; according to the target protocol, identifying pollution data which does not meet the data quality requirement of the target protocol; obtaining a source protocol type identifier and a protocol version number of the polluted data; determining key nodes of the pollution data in the protocol conversion process by analyzing a protocol conversion log of each piece of pollution data in the pollution data isolation area; optimizing a numerical length limiting condition and a data format conversion logic in the protocol conversion function; extracting features of the pollution data according to a protocol exception processing mode; and redeploying the optimized protocol into the environment sensor gateway. According to the method, the data pollution problem in the multi-protocol environment can be effectively identified and processed, the data quality is improved, and reliable data support is provided for environment monitoring.

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.

The invention relates to the technical field of formation control of an air-sea heterogeneous cluster system, and discloses a predefined time formation control method based on a fuzzy neural network, and the method comprises the steps: building kinematics and dynamics models of a six-degree-of-freedom four-rotor unmanned plane and a three-degree-of-freedom unmanned ship; establishing a formation tracking error and a speed tracking error of the air-sea heterogeneous cluster system; constructing a preset performance function, and determining an error conversion function; determining a predefined time virtual control law; establishing a predefined time fuzzy neural network, and determining a distributed predefined time formation controller of the air-sea heterogeneous cluster system in combination with a predefined time virtual control law; and performing distributed predefined time error constraint formation control on the air-sea heterogeneous cluster system according to a distributed predefined time formation controller of the air-sea heterogeneous cluster system. According to the method, the robustness of the air-sea heterogeneous cluster is improved, so that the system can converge within the settable predefined time and does not depend on the initial value of the system.

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.

A data processing method can be applied to the field of artificial intelligence and comprises the steps of obtaining attribute information of a user and an article; according to the attribute information, obtaining preference information of the user for the article; according to the preference information and the cost variable, through a preset first mapping relation, determining predicted interaction duration of the user to the article; the cost variable is information influencing the interaction duration of the user on the article; and when the predicted interaction duration meets a preset condition, recommending articles to the user. According to the method and the device, the interaction duration of the user to the article is predicted through the conversion function of the interaction duration and the preference information based on the cost variable, and recommendation is performed by using the predicted interaction duration as the preference feature of the user, so that the more accurate interaction duration can be obtained, and the more accurate recommendation result is obtained.

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.

The invention provides a method and system for controlling a mechanical arm track based on reinforcement learning full-state constraint. The method comprises the steps that a rigid mechanical arm dynamic model of an n-degree-of-freedom rotary joint is established; designing an error conversion function according to the dynamic model and the state constraint, and converting a constrained error e into an unconstrained error xi; according to the updating rate of the unconstrained error xi, a cost function of the mechanical arm system is designed; constructing a Jacobian-Bellman-Hamiltonian equation through a cost function, and solving to obtain an optimal controller; using a critic neural network to approximate the optimal cost function to obtain an approximate optimal controller; and according to the approximate optimal controller, an approximate Hamiltonian-Jacobian-Bellman equation is derived, difference between the approximate Hamiltonian-Jacobian-Bellman equation and the original Hamiltonian-Jacobian-Bellman equation is obtained, and gradient descent is carried out to obtain a critic network weight matrix update rate. The technical problems that under the uncertainty and dynamic change scene and under the multi-constraint condition, mechanical arm trajectory tracking is difficult to achieve, and the mechanical arm trajectory tracking precision is low are solved.

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 a training method of a classification neural network and a target classification method, and belongs to the field of artificial intelligence and computer science. According to the method, a proper reference solution in a current population is selected by designing a bi-clustering method, the diversity of the population in the optimization process is kept, and the search direction of weight optimization is guided; secondly, a power value conversion function is designed in a problem conversion link, the mapping mode of a decision space is changed, and the original decision space is effectively expanded; and finally, a mechanism for adaptively distributing evaluation times is provided, and the evaluation times of standard optimization and weight optimization can be adaptively adjusted in different stages of population optimization, so that the population convergence can be accelerated in the development stage of population evolution, and the diversity of the population can be balanced in the exploration stage. When the method is applied to neural network model training, the performance of neural network training is effectively improved.

The invention discloses a multi-single-joint mechanical arm optimization inclusion control method based on an output mask function, and the method comprises the steps: firstly carrying out the mathematical modeling of a follower of a multi-single-joint mechanical arm, and then constructing an unknown control coefficient and a state equation of the follower under disturbance according to the physical characteristics of the multi-single-joint mechanical arm, according to the state equation and the transfer function of the converted follower, constructing a nonlinear error conversion function with an auxiliary variable, introducing an output mask function, constructing a Hamiltonian-Jacobian-Bellman equation, and solving a preset time approximate optimal virtual control signal, a preset time approximate optimal controller and corresponding adaptive parameters; a leader estimator and an execution-evaluation network estimate a weight update law for predetermined time control of the multi-single-joint robot arm. According to the scheme, the problem of optimization including control of the multi-single-joint mechanical arm in cooperative control under the mask output state is solved, and meanwhile preset time control of a follower of the multi-single-joint mechanical arm under privacy protection is achieved.

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.

An image sensor includes a plurality of pixels and includes a photodiode configured to operate in both modes of a linear mode for linearly responding to a light incident amount and a photo-voltaic mode for logarithmically responding to the light incident amount, a source follower circuit configured to output a signal voltage according to a signal generated according to an output of the photodiode, an AD converter configured to convert the signal voltage output from the source follower circuit into digital signal data, a frame memory configured to store signal data of one frame, and a conversion function configured to generate, from signal data of a current frame and signal data of a previous frame, an optical signal relating to the light incident amount.

The invention discloses a system for solving intercommunication editing of a file and a cloud document in a chat application. Comprising a file editing module, a cloud document integration module, a multi-device synchronization module, a real-time collaborative editing module, a version management module, a format conversion module, an authority control module, a document search module, a file sharing module, a document preview module and a document annotation module. By integrating the cloud document technology, the technical problems of file format compatibility, real-time collaboration, multi-device synchronization, version management and safety control are solved, seamless file and cloud document intercommunication editing is realized, a user can directly open, edit and share the file in a chat application, multi-user real-time collaboration and automatic version management are supported, and the user experience is improved. The file security is ensured; the operation convenience and team cooperation efficiency are improved through the multi-device synchronization and format conversion function, and efficient, safe and convenient file management and cooperation experience is provided for users.

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.