32 results about "Conversion function" patented technology

Embodiments of the present disclosure relate to an apparatus for clock synchronization, a related method and a medium. In an aspect, based on performing a first set of addition or subtraction operations on a first bit value, the apparatus obtains a quotient of the first bit value divided by a predetermined divisor, wherein the first bit value represents time in a first time unit. Based on the first bit value and performing a second set of addition or subtraction operations on the quotient, the apparatus obtains a remainder of the first bit value divided by the predetermined divisor. The apparatus obtains a second bit value representing time based on the quotient and the remainder, wherein the second bit value comprises a first part and a second part, the first part corresponding to the quotient and representing time in a second time unit, and the second part corresponding to the remainder and representing time in the first time unit. The apparatus for clock synchronization provided by embodiments of the present disclosure improves the maximum clock frequency in realizing the time format conversion function, and meets the requirement of reducing cost.

This invention provides an intelligent reminder method, device, and system for real-time noise detection and peripheral visual interaction, belonging to the field of human-computer interaction and intelligent environment technology. The invention uses a preset dual noise threshold and configures multimodal interactive device working mode switching rules. It collects ambient sound signals using an analog sound sensor and maps them to real-time decibel values ​​via an exponential conversion function. The real-time decibel value is compared with the dual thresholds to trigger a phased visual and tactile multimodal feedback strategy. Simultaneously, a supporting APP enables data interaction between the device and the cloud, completing multi-dimensional visual display, statistical analysis, and report generation of noise data. It also supports remote device control, personalized threshold settings, and non-confrontational social sharing of noise data reports. The invention also designs an integrated intelligent reminder device with a unified housing, integrating sound sensing, processing control, multimodal feedback, magnetic attraction, and Type-C power supply modules, enabling flexible switching between desk lamp, ambient light, decibel monitoring, and composite modes.

This invention discloses an underwater acoustic positioning sound velocity compensation method based on vertical total time delay random walk, belonging to the field of underwater acoustic navigation and positioning. The method includes: collecting two-way time delay observation data in underwater acoustic positioning; establishing an ocean sound velocity compensation formula; defining the vertical total time delay and establishing a conversion function between ocean sound velocity variation and vertical total time delay; calculating a coarse prior value of the vertical total time delay based on the conversion function, and using a first-order Markov process to calculate the random walk noise of the vertical total time delay; using the two-way time delay observation data, the coarse prior value, and the random walk noise, accurately estimating the vertical total time delay using an extended Kalman filter, and then substituting it into the conversion function to obtain the ocean sound velocity variation, thus achieving sound velocity compensation. This invention eliminates the need for additional sound velocity measurement equipment, enables real-time online compensation of ocean sound velocity variation errors, improves underwater acoustic positioning efficiency, and enhances the temporal resolution of ocean sound velocity variation detection.

The application discloses a digital quantity driving polarity conversion circuit, a device and an electric vehicle relay driving test system, and is applied to the electric vehicle electronic test technical field, and is used for solving the problem that the signal polarity of the vehicle-mounted controller and the external equipment is not matched in the prior art. Specifically, the input end of each first conversion channel and the input end of each second conversion channel are connected in parallel to a signal input node, and the output end of at least one first conversion channel or the output end of at least one second conversion channel is connected to the digital quantity input end of the external equipment; the first conversion channel converts the input high-side driving signal into a low-side driving signal and outputs; the second conversion channel converts the input low-side driving signal into a high-side driving signal and outputs, realizing the bidirectional polarity conversion function of the high-side driving signal and the low-side driving signal, so that the same external controller can be adapted to the external equipment with different signal polarities.

This invention discloses a mobile transport device with a horizontal-to-vertical conversion function. It includes a track system and a mobile transport vehicle running on the track system. A lifting mechanism is installed on the mobile transport vehicle, and a receiving device is installed on the lifting mechanism. A horizontal-to-vertical conversion cylinder is also hinged to the receiving device on the mobile transport vehicle. The lower surface of the receiving device has a first hinge point and a second hinge point spaced apart. The first hinge point is hinged to the upper end of the lifting mechanism, and the second hinge point is hinged to the free end of the horizontal-to-vertical conversion cylinder. This structure is novel, functionally complete, highly integrated, and has low processing costs, resulting in considerable economic benefits.

The application provides a common-mode feedback circuit with a level conversion function, comprising an amplifier output stage, a resistive common-mode feedback circuit and an amplifier common-mode feedback circuit, the amplifier output stage comprising a first current source I1, a second current source I2, a tail current source I3, input pair tubes M1 and M2 and a common-mode adjusting tube M3, the resistive common-mode feedback circuit comprising a first resistor R1 and a second resistor R2, and the amplifier common-mode feedback circuit comprising a third resistor R3, a fourth resistor R4 and a first operational amplifier AMP1, V OP and V ON The input ports of the resistive common-mode feedback circuit and the amplifier common-mode feedback circuit are commonly connected, for detecting the common-mode voltage and adjusting the common-mode adjusting tube at the same time. The scheme introduces the fast response advantage of the amplifier feedback on the basis of the resistive feedback, realizes the accurate control and dynamic adjustment of the common-mode level, and makes the output common-mode voltage be flexibly set by integrating the level conversion function in the feedback loop, so that the transient response speed of the system is significantly improved.

The present application belongs to the technical field of signal test and measurement, and particularly relates to a high-sensitivity I-V conversion circuit and a design method thereof, which can improve the current measurement sensitivity by two orders of magnitude under the condition that the load voltage is the same. The present application realizes a high-sensitivity I-V conversion function through a two-stage active deep negative feedback circuit structure, and can increase the resistance value of a 100-fold current sampling resistor under the premise of keeping the load voltage unchanged, so as to greatly improve the voltage output by the I-V conversion circuit, and at the same time solve many problems caused by the great influence of the traditional I-V conversion circuit on the impedance of the current loop to be measured.

This invention discloses a method for measuring the light environment of an aircraft cockpit based on visual perception. The method includes: determining the correspondence between the brightness value of a calibration target and the grayscale value of the target image, i.e., a brightness / grayscale conversion function; determining an image of the aircraft cockpit scene during flight; and determining the brightness of the light environment of the aircraft cockpit during flight based on the image of the aircraft cockpit scene and the brightness / grayscale conversion function. The advantages of this invention are: it measures the brightness of the display screen, control panel and its operating devices, and the overall environment of the aircraft cockpit through visual perception imaging; it can measure both specific areas or points and the entire cockpit.

The application discloses a data processing method and device and a storage medium, wherein the data processing method comprises the following steps: obtaining first language structure data parsed based on a Proto description file, the first language structure data comprising a field in the Proto description file expressed in a first language and conversion limitation information between languages corresponding to a field type of the field in the Proto description file; calling a preset conversion function parsed based on the Proto description file; the preset conversion function representing a mapping relationship between languages determined based on the field type of the field in the Proto description file and the conversion limitation information between languages corresponding to the field type; converting the first language structure data into second language structure data according to the preset conversion function; and serializing the second language structure data to obtain Protobuf serialized data. The application can use Protobuf as a data exchange format of a protocol, can use shared memory in a service, and improves data transmission efficiency.

The application discloses a method for compensating sound velocity in underwater acoustic positioning based on vertical total time delay random walk, and belongs to the field of underwater acoustic navigation and positioning. The method comprises the following steps: collecting two-way time delay observation data in underwater acoustic positioning; establishing a marine sound velocity compensation formula; defining a vertical total time delay, and establishing a conversion function between marine sound velocity variation and the vertical total time delay; calculating a rough prior value of the vertical total time delay based on the conversion function, and calculating random walk process noise of the vertical total time delay by using a first-order Markov process; using the two-way time delay observation data, the rough prior value and the random walk process noise, and using extended Kalman filtering to accurately estimate the vertical total time delay, and then substituting the vertical total time delay into the conversion function to obtain marine sound velocity variation, so that the sound velocity compensation is realized. The application does not need to increase additional sound velocity measuring equipment, can compensate marine sound velocity variation error in real time and online, improves underwater acoustic positioning efficiency, and improves time resolution of marine sound velocity variation detection.

An image forming apparatus according to an embodiment includes a storage device and a processor. The storage device stores a direct print app that executes the direct print function, and a conversion app that uses a file format conversion function that a cloud server provides. The processor is configured to execute the direct print app to provide to a user a selection environment for selecting a print target file from the files in the external device. The processor is configured to execute the conversion app to request the cloud server to execute file format conversion for converting a file format of the print target file selected through the selection environment into an applicable file format to which the direct print function is applicable, receive a post-conversion file after the file format conversion from the cloud server, and print the post-conversion file.

The present disclosure provides a new energy station power prediction method and system based on longitudinal federal decision tree, relates to the field of federated learning and information security technology, and comprises the following steps: acquiring real-time environmental characteristic data; inputting the environmental characteristic data into a power load prediction model to output a predicted power value; wherein the power load prediction model is a longitudinal federal decision tree model, and the training process of the longitudinal federal decision tree model comprises the following steps: each participant generates a key and a hyperparameter for each column of characteristics according to a security requirement, generates a random topological mapping for each column of characteristics, constructs a nonlinear conversion function based on each mapping relationship, encrypts the data in a cascade manner using the generated nonlinear conversion function and a lightweight order-preserving encryption, concentrates the encrypted data in a coordination party for ciphertext state model training, and obtains the longitudinal federal decision tree model after the training is completed. The present disclosure can improve the accuracy of joint power prediction modeling and realize more accurate scheduling optimization.

The present disclosure provides a method for generating a screen color calibration file and a screen color calibration method, and relates to the field of screen color calibration under multiple luminances. The method comprises the following steps: determining a color coordinate matrix of three primary colors corresponding to the screen under N luminances, wherein N is a positive integer greater than 2; determining a conversion function matrix corresponding to the screen according to the N color coordinate matrices, wherein the conversion function matrix is used to map the color gamut of the screen under each luminance to the color gamut under a reference luminance; performing color calibration on the screen under the reference luminance to obtain a three-dimensional lookup table under the reference luminance; and determining the conversion function matrix and the three-dimensional lookup table as the color calibration file of the screen. Thus, the color gamut under different luminances can be kept consistent, and color calibration under the maximum luminance can ensure the color accuracy under all luminances, thereby ensuring the reliability of screen color calibration and improving the calibration efficiency.

This application provides a display device and a display control method, relating to the field of display technology. The display device includes: a display configured to display an image to be displayed; and a controller configured to: determine the backlight display brightness of each backlight zone in the display based on the pixel brightness values ​​contained in each image zone of the image to be displayed; each image zone corresponds to at least one backlight zone; for any image zone, determine the target brightness of the backlight zone corresponding to the image zone based on the backlight display brightness and a preset electro-optical conversion function; the electro-optical conversion function is used to characterize the human eye's perception of brightness; and when displaying the image to be displayed, adjust the brightness corresponding to each backlight zone based on the target brightness. Using the above method, the contrast of the image to be displayed can be improved, enhancing the user's viewing experience.

The application provides a kind of load and boundary condition conversion function architecture design method, its method includes: the data structure of load and boundary condition application area is recorded and managed, and the mapping relationship of load and boundary condition application area and finite element unit number is constructed;Surface boundary unit is constructed based on finite element unit, and load and boundary condition are positioned based on surface boundary unit;Surface boundary unit and finite element unit have the same type of interpolation function;Equivalent nodal load and the generation method of node constraint are constructed, and the input of generation method includes surface boundary unit and node coordinate list.The application can effectively introduce various loads and boundary conditions into finite element model, improve the expandability and maintainability of boundary setting module related functions.In addition, the introduction of load and boundary condition based on grid information is avoided, and the operation experience of user is effectively improved.

The application provides a test method, device, electronic equipment and medium for a data structure conversion function, wherein the method comprises: storing first bank business data having a first data structure to a first database table; converting the first bank business data into second bank business data having a second data structure; performing data structure conversion on the second bank business data through a data warehouse conversion system to obtain third bank business data, and storing the third bank business data to a second database table; comparing different types of summary information, different field information and specified value information containing the field information in the first database table and the second database table to determine whether the first database table and the second database table are the same to obtain a database table comparison result; and determining a test result of the data structure conversion function of the data warehouse conversion system according to the database table comparison result. The method is conducive to improving the accuracy of the data structure conversion function test.

This invention relates to the field of chip verification technology, and in particular to a verification system supporting response conversion functionality. Its behavior predictor captures a spoofed write response through the initiating protocol layer driver and sends it to a scoring board. Simultaneously, it converts the spoofed write response into a write response request and sends it to the interface layer through the receiving protocol layer driver. The interface layer converts the write response request into an actual write response and sends it to the scoring board. The scoring board compares the actual write response with the spoofed write response; if they match, the verification passes. This system cleverly solves the problem that traditional verification platforms cannot simulate the receiving end's generation of write response requests by using the spoofed write response as a prototype to generate the write response request. Compared to conventional verification methods that require converting the write response request back into a response before comparing it with the actual write response, this invention only needs to compare the spoofed write response with the actual write response to achieve functional verification, reducing the number of comparison channels on the verification platform.

This invention discloses a microcontroller wake-up circuit and a vehicle controller. The microcontroller wake-up circuit includes a protection module, a wake-up module, and an analog-to-digital (ADC) conversion module disposed inside the controller. The first terminal of the protection module is connected to a multi-position switch disposed outside the controller, and the second terminal is connected to a power output terminal to prevent electrostatic discharge and reverse voltage damage to the circuit. The first input terminal of the wake-up module is connected to the power output terminal, the second input terminal is connected to the third terminal of the protection module, and the output terminal is connected to the wake-up function port of the microcontroller to wake up the microcontroller in sleep mode. The input terminal of the ADC conversion module is connected to the third terminal of the protection module, and the output terminal is connected to the analog-to-digital (ADC) conversion function port of the microcontroller to identify the position of the multi-position switch. The microcontroller wake-up circuit features low power consumption, low cost, the ability to independently identify the wake-up source, and short-circuit protection.

The application discloses an AI agent multi-protocol multi-channel unified bridging method and system, and belongs to the field of artificial intelligence communication interoperability. The method defines a unified message abstraction layer irrelevant to specific platforms and protocols; channel adapters are realized for communication platforms facing human users, and protocol adapters are realized for communication protocols facing AI agents, both types of adapters containing bidirectional conversion functions of inbound and outbound; the protocol adapters automatically establish cross-protocol capability mapping relationships through semantic vector matching, and support interaction mode adaptation between synchronous, asynchronous and streaming; a unified mapping of main identity identification and original identification of each platform is established for the AI agent, cross-platform message routing is supported; adaptive degradation processing is performed when the target end format or capability is insufficient; and the adapters support runtime hot registration.

The application relates to a UART serial port and 1-Wire interface conversion circuit which is composed of a power supply voltage conversion unit, a UART and 1-Wire signal conversion unit, a 1-Wire signal level conversion unit, a strong pull-up circuit unit and an ESD protection unit. The UART serial port and 1-Wire interface conversion circuit has the advantages that the operation of the 1-Wire bus load can be realized through the communication of the front-end host / mainboard via the UART serial port, the complicated processing of the 1-Wire signal by the host / mainboard is avoided, the conversion function of the UART (TTL) serial port and the 1-Wire interface is realized, thus the imported device DS2480B is replaced by the domestic functional substitution; the strong pull-up design and the ESD protection improve the 1-Wire bus signal transmission reliability; the RS232 transceiver or the RS422 transceiver can be connected at the UART (TTL) serial port end, so as to meet the different interface conversion requirements of the host / mainboard.

The application relates to the field of automatic control of intelligent agricultural equipment, and particularly discloses a constraint control method for an intelligent mower based on fixed-time convergence. First, a kinematic model and a heading subsystem of a differential steering intelligent mower are established; a fractional time conversion function is constructed to complete time dimension conversion scheduling of the heading subsystem; a nonlinear mapping function is used to convert the constrained heading system into an unconstrained system; and finally, a nonlinear heading constraint controller based on the backstepping method is designed to realize fixed-time convergence. The application can guarantee that the heading angle converges to the expected value within a fixed time, and the constraint boundary is not exceeded throughout the whole process, thereby improving the response speed, control accuracy and operation safety of the heading control of the intelligent mower.

The application discloses a bilingual semantic neural network compiling system and method, relates to the technical field of deep learning, and can receive an ONNX model derived from multiple deep learning frameworks, automatically generate an MLIRScript representation of a Python static subset, and provide executable debugging and MLIR conversion functions in an execution semantic mode and a compiling semantic mode respectively; in the execution semantic mode, intermediate tensor values, shapes and numerical distributions can be observed in real time, and model debugging and verification can be realized; in the compiling semantic mode, a standard MLIR high-level dialect representation is generated through static analysis, the operator topology, tensor types, shapes and parameters are kept consistent with the original ONNX model, and a basis is provided for subsequent multi-hardware platform optimization. The application realizes a neural network compiling path with unified input of multiple front ends and efficient deployment of multiple back ends, solves problems, such as difficult debugging and verification, framework binding limitation and model semantic loss, in the prior art, and improves the debuggability and portability of deep learning models across frameworks and hardware.

The display device includes a receiving circuit, a luminance information generating circuit, a conversion curve generating circuit, a picture conversion circuit and an image display module. The receiving circuit is used to accept an input image signal. The luminance information generating circuit obtains original luminance information and setting luminance information of each original picture by analyzing each original picture in the input image signal. The conversion curve generating circuit generates an electro-optical conversion lookup table of each original picture according to the setting luminance information of each original picture and a conversion function. The picture conversion circuit performs electro-optical conversion lookup on the original pictures of the input image signal according to the electro-optical conversion lookup table corresponding to each original picture to generate a plurality of output pictures of an output image signal, so as to adjust the electro-optical conversion lookup table for each picture to optimize the display image effect.

The application discloses a kind of medical image scale automatic measurement method, system, equipment and medium, it is related to image processing technical field.The method includes: scanning the target image to be detected, with the pixel value set of all scales in the target image to be detected as independent variable to construct the luminance function corresponding to scan line;The independent variable in the luminance function corresponding to scan line is linearly converted with angular frequency, and the luminance conversion function is obtained;Continuous wavelet transform is carried out on the luminance conversion function, and the continuous wavelet transform function is obtained;The pixel estimate in the continuous wavelet transform function is traversed in a loop, and the pixel estimate corresponding to the continuous wavelet maximum value is obtained;The pixel estimate corresponding to the continuous wavelet maximum value is used as the scale unit conversion factor of the target image to be detected.Through the above method and related system equipment, the application solves the problem of high network model data dependence and low adaptation based on artificial intelligence deep learning.

The application relates to a Linux PipeWire audio noise reduction method based on CPU instruction set optimization and a storage medium, and belongs to the field of audio processing. The method comprises the following steps: configuring a libpipewire-module-filter-chain module in a PipeWire multimedia server, and dynamically loading an SPA plug-in; in an initialization stage, an SPA_TYPE_INTERFACE_CPU interface is requested to obtain a CPU characteristic mask, AVX2, NEON or a scalar audio format conversion function pointer is dynamically bound according to the mask; in a high-frequency audio processing callback, the bound function pointer is called, a SIMD wide register is utilized to perform type conversion from floating point to fixed point and saturation limiting operation in parallel, and a double loop unrolling strategy is used to maximize the utilization rate of an instruction emission port; and the converted data is written into Playback Stream shared memory. The application realizes cross-platform adaptive optimization of a single binary package through runtime instruction set sniffing, completely eliminates the calculation bottleneck of F32 to S16 format conversion after neural network noise reduction, and significantly improves the system throughput of a PipeWire real-time audio server while ensuring extreme compatibility.

The application relates to the technical field of soil remediation, in particular to a soil remediation effect evaluation method and system based on edge computing. The method comprises the following steps: collecting original readings, converting the original readings into pollutant concentrations according to a sensor data interpretation rule, and outputting a soil remediation effect evaluation result; receiving a processing task and dividing the processing task into an emergency processing task and a gradual optimization task according to a preset task division rule; splitting the gradual optimization task into interruptible micro-calibration segments, and scheduling and executing the micro-calibration segments when a processing unit meets available conditions; if an emergency processing task appears, pausing the micro-calibration segments, saving the execution context, executing the emergency processing task preferentially, and resuming after the execution. The method solves the problem that, in the prior art, due to changes in the soil microenvironment and the formation of an attached layer on the surface of a sensor probe, the applicability of a pollutant concentration and sensor original reading conversion function used in an edge node is reduced, and then inaccurate evaluation results are generated.

An image forming apparatus according to an embodiment has a storage device and a processor. The storage device stores a direct printing application that executes a direct printing function of printing a file in an external device, and a conversion application that utilizes a file format conversion function provided by a cloud server. The processor executes the direct printing application and the conversion application. The processor executes the direct printing application, provides a selection environment for selecting a print target file from the file in the external device to a user, executes the conversion application, requests the cloud server to convert a file format of the print target file selected via the selection environment into a corresponding file format of the direct printing function, receives a converted file after the file format conversion from the cloud server, and prints the converted file.

The application discloses a granular damping noise suppression superstructure device based on mode conversion function, which comprises an outer shell, an inner shell, a noise reduction ring and a connecting device. A plurality of noise reduction rings are periodically arranged along the shell in the axial direction, and the outer shell and the inner shell are assembled and connected through the connecting device, so that a double-layer shell structure with periodic characteristics is formed, a band gap characteristic is introduced, and low-frequency sound radiation suppression is realized. The noise reduction ring comprises an inner hexagonal screw, a cover plate, a granular damping group and an integrated annular frame, the inside of the integrated annular frame is composed of a plurality of unit structures, each unit structure is formed by rotating the granular damping group and a cavity, the unit structures are arranged in a non-mirror-symmetrical manner, and the propagation of structural vibration and elastic waves is effectively suppressed, the granular damping group is composed of double-radius solid spheres arranged closely, and the noise reduction frequency band is widened through the synergistic effect of different radius particles. The device can be used for the outer shell structure of an underwater vehicle to realize low-frequency broadband noise suppression effect.

The application belongs to the field of electrode regulation, and particularly relates to an electrode pre-sodiation regulation method based on open-circuit voltage regulation. The steps are as follows: collecting original data of the electrode in the pre-sodiation process; constructing a steady-state verification function to perform steady-state determination on the filtered open-circuit voltage and electrode current; extracting real-time open-circuit voltage and open-circuit voltage instantaneous change rate; constructing a mapping model between the open-circuit voltage and the actual sodiation degree; constructing a loss function to train the model parameter set; comparing the calculated sodiation degree target value; constructing a conversion function; constructing a linear feedback control strategy function; constructing a prediction model to calculate the actual sodiation degree at the next moment; and constructing a fusion feedback function to generate a fusion control instruction. The method of the application finds the correlation between the open-circuit voltage and the internal sodiation degree of the battery by constructing a mapping model, and at the same time, the loss function can avoid overfitting of the model, ensuring the stability of the estimation result in different scenarios.

The application discloses a vehicle network simulation test environment construction method and system based on protocol definition driving, relates to the field of automobile electronic test technology, and loads new and old protocol definition files to extract physical semantic tuples containing signal physical meaning and data type conversion functions to generate a normalized intermediate representation layer, constructs an abstract syntax dependency graph, performs semantic level difference calculation, marks semantic change source nodes and layout change source nodes in the abstract syntax dependency graph, calculates an influence radius through a graph traversal algorithm according to the out-degree and in-degree of the change source nodes, identifies affected function clusters affected, extracts test cases covering the changed signals from a historical test sequence library based on the affected function cluster identification to generate a minimum disturbance regression test set, and outputs an incremental configuration description file used for indicating a virtual electronic control unit identification list that needs to be locally reloaded in a simulation environment, so that intelligent pruning of regression test cases and local reloading of a simulation model are realized.