32 results about "Programming Parameter" patented technology

The utility model discloses a programmable gate controller port function tester comprising a host which is provided with a cabinet and a panel. A host control circuit board and a direct-current programmable power supply are arranged in the case, and the case is provided with a power socket; the panel is provided with a power switch, a grounding pole, a liquid crystal touch screen, an input detection port, an output control port and a communication port. According to the utility model, the input port detection adopts optical coupler isolation detection and liquid crystal screen icon display state, so that the period of signal change can be detected, and the requirements of action delay measurement and association logic judgment are met; all detection data are recorded in real time, the process and the result can be automatically compared with preset programming parameters for judgment, the standardized detection process is achieved, and the detection efficiency is greatly improved.

1. The name of the design product: the graphical user interface of setting program parameters of washing and drying machine of electronic equipment. 2. The use of the design product: an electronic equipment. 3. The design points of the design product: the graphical user interface. 4. The picture or photo that best shows the design points: the front view. 5. The use of the graphical user interface: for setting program parameters of washing and drying machine. Click the "update custom program" button in the front view interface, and the interface of interface change state figure 1 is presented. Click the "next step" button after selecting the program that needs to be customized in the interface, and the interface of interface change state figure 2 is presented. The part covered by the gray cross-shaped figure in the view is the content picture.

One or more processors of a system may determine one or more program parameters of a plurality of rows of cells of a non-volatile memory, determine a first threshold of a first parameter of each row based on the one or more program parameters of the plurality of rows, determine, by changing a programming time of each row, a set of parameters of each row that causes the first parameter not to cross the first threshold, determine a second threshold of a second parameter of each row based on production statistics of a plurality of dies as a result of mass production, adjust the programming time of each row to cause the second parameter not to cross the second threshold, and program data to a first row of the plurality of rows using the set of parameters of the first row and the adjusted programming time of the first row.

The invention provides an intelligent process design and verification integrated platform and method for ring forgings, and is applied to the technical field of intelligent automatic manufacturing. Comprising the following steps that: a process management layer constructs a dynamic mapping model of each processing procedure according to equipment operation program parameters corresponding to mechanical equipment used in each processing procedure and numerical simulation parameters during simulation of each processing procedure by taking a processing mechanism model of each processing procedure in a process route for forming the ring forging as a reference; the big data analysis layer establishes a data flow association rule by adopting a station task algorithm according to a production line virtual mirror image of the process route, and then determines a current processing procedure from a plurality of processing procedures and inputs actual execution data and a real-time related state of the current processing procedure into a target dynamic mapping model of the current processing procedure; current equipment operation program parameters are obtained, numerical simulation is carried out on the current machining procedure, and a numerical simulation prediction result is generated. The design and verification of the whole forming process of the ring forge piece in different machining procedures can be achieved.

The application discloses a firmware programming method and an electronic device, and is applied to the technical field of storage, and comprises the following steps: generating general firmware data to be completed for parameter injection, and generating a programming parameter file corresponding to the model of a storage device for different models of the storage device; acquiring the model of a storage device to be programmed and obtaining the corresponding programming parameter file based on the model; obtaining the compiled target firmware by analyzing the programming parameter file and performing parameter injection on the general firmware data; and performing firmware programming on the storage device to be programmed by using the target firmware, and dynamically updating the actual programming voltage based on the reference programming voltage and the temperature offset during the programming process. By using the scheme of the application, the firmware compiling cost can be effectively reduced. The influence of temperature change on the programming process is reduced, and the reliability of programming is ensured.

This invention discloses a learning optimization method and system for solving quadratic programming problems, relating to the intersection of mathematical optimization and artificial intelligence. The method includes: inputting convex quadratic programming parameters, transforming them into a two-block separable form through auxiliary variables and indicator functions; initializing variables and LSTM states; generating iterative approximate solutions using LSTM, and determining whether sufficient descent and gradient conditions are met, triggering a gradient descent guarantee mechanism if these conditions are not satisfied; updating auxiliary variables element-wise, adaptively updating relaxation and penalty parameters, and outputting the original and dual solutions; and training the LSTM offline using identically distributed samples. This invention combines the fast inference of neural networks with the convergence guarantee of traditional algorithms, offering high real-time performance, strong robustness, and low resource consumption. It is suitable for scenarios such as high-frequency trading, autonomous driving, edge AI, and power grid scheduling, efficiently solving dynamic parameter convex quadratic programming problems.

A method and device for optimizing dataflow load in an accelerator of a fully homomorphic encryption (FHE) program are provided. The accelerator is configured with a FHE network including a plurality of permute units, and the method includes obtaining a set of program parameters; obtaining a set of optional orderings; determining optimal program parameters to match an ordering of the set of optimal orderings to yield a required dataflow load; and modifying a FHE program to place coefficients in the permute units and perform the permutations based on the optimal program parameters and matching ordering.

The application discloses a text processing method and device, electronic equipment and storage medium. The method comprises the following steps: obtaining a segment text of a current program segment to be played; playing the current program segment to be played and obtaining feedback information of the current program segment to be played based on the segment text of the current program segment to be played; generating a segment text of a next program segment to be played based on a target text generation model matched with target program parameters input by a target user, the segment text of the current program segment to be played and the feedback information, wherein the target program parameters comprise a target actor type and a target performance style; and playing the next program segment to be played based on the segment text of the next program segment to be played after the current program segment to be played is played. The application is beneficial to realizing customized playing of language programs, thereby better meeting personalized needs of users.

This invention relates to a method and system for automatic program generation based on a program timeline and multi-agent collaboration. The method includes: a content generation agent generating a program script based on program parameters; a sound generation agent automatically matching broadcast timbre according to the program script to generate human voice audio and determine background music and sound effects; a program synthesis agent splicing and synthesizing the human voice audio, background music, and sound effects according to a preset order and dependency relationship based on the program timeline to obtain program audio and a timeline file; and a review agent reviewing the program audio, triggering the corresponding agent to perform targeted backtracking and partial regeneration of the corresponding type of smallest content unit based on review tags, and performing partial replacement in the timeline file while keeping other smallest content units unchanged, thus completing the automated generation of broadcast audio programs. This method can achieve high-efficiency, high-consistency, and high-compliance program production while reducing production costs.

The present disclosure provides a program generation method, a program broadcasting method, a program generation device, a program broadcasting device, and a program generation system. The program generation method for a server includes: obtaining a media material uploaded by a user, and auditing the media material; selecting a target display terminal; receiving program parameter information inputted by the user; generating information about a target program in accordance with the program parameter information and a display parameter of the target display terminal, the information about the target program including program information and plan information, the program information being used to indicate information about the media material in the program, and the plan information being used to indicate a broadcasting mode of the program; and transmitting the information about the target program to the target display terminal.

The invention discloses an application program performance prediction method and device under a heterogeneous system, and belongs to the technical field of system performance prediction.The method comprises the steps that S100, small-scale programs are extracted from large-scale parallel programs to be predicted; s200, running the small-scale program on a target heterogeneous system, and collecting performance data related to a hardware architecture; s300, constructing a performance model based on the performance data; s400, training the performance model by adopting a staged migration training strategy; and S500, inputting the program parameters of the large-scale parallel program into the performance model, and outputting a performance trend prediction result on the current heterogeneous system. According to the method, large-scale performance prediction with low cost, high precision and strong extrapolation is realized through a representative small-scale program, a dual-channel neural network and staged migration training.

In some embodiments, irrigation control apparatuses, systems, and methods are provided herein. In some embodiments, a system includes a server having a control circuit; a database; and a central control irrigation application configured to be executed by the control circuit, wherein when executed by the server, the application: receives, from a first user associated with a first account, a request to change rights for an irrigation site with respect to a second user associated with a second account, wherein the request specifies a code that corresponds to the second account; and edits an asset table stored in the database to associate a unique identifier associated with the second account and corresponding to the code with the group of one or more irrigation controllers in the asset table to allow the second user to access and edit the at least one programming parameter of the group via a user interface.

The invention discloses a success rate improving method and device for tire pressure activation equipment, the equipment and a storage medium, and the method comprises the following steps: obtaining a vehicle identification code VIN of an input vehicle, and obtaining program parameters corresponding to the VIN from a program information base; performing optimization through a regression algorithm according to the program parameters to obtain a prediction model; predicting the parameter combination of each program number by using the qualified prediction model, taking the parameter combination with the highest success rate as the optimal parameter combination, and configuring the optimal parameter combination into tire pressure sensor activation equipment for execution; the device can automatically match the optimal parameter combination under different vehicle types and environment conditions, so that the success rate of tire pressure activation and data reading is remarkably improved, automatic optimization and prediction of parameters are realized, repeated manual tests are not needed, and the uncertainty caused by manual judgment is reduced.

The invention provides a dynamic element display method and device, equipment, a storage medium and a program product, and can be applied to the technical field of data processing. The method comprises the steps that in response to an element display instruction, program parameters of a target program and loading parameters of each to-be-loaded dynamic element are obtained, the program parameters represent display area information of the target program, and the loading parameters comprise position information of the to-be-loaded dynamic elements and to-be-loaded information; the position information and the display area information are analyzed, an analysis result is obtained, and the analysis result represents the display range of the position information in the display area information; and based on a preset display position rule, determining a display position of the to-be-loaded information in the display area information according to the analysis result, so that the terminal equipment displays the to-be-loaded information according to the display position.

The invention discloses a parallel program I / O performance extrapolation modeling and prediction method and system based on two stages, and belongs to the technical field of parallel IO. The method comprises the following steps: measuring HPC system parameters and parallel program parameters; collecting I / O behavior characteristics and I / O time under the condition of small-scale nodes; determining an extrapolation mode according to the task scale characteristics and screening data samples; establishing a feature extrapolation model by adopting a pairwise learning method, and predicting I / O behavior features of the large-scale nodes; and establishing a performance extrapolation model, and outputting a large-scale node I / O performance prediction result. By means of the two-stage extrapolation model, accurate prediction of the large-scale node I / O performance can be achieved only by depending on small-scale node sampling data, the experiment cost is remarkably reduced, and effective technical support is provided for performance optimization of an HPC system.

In some embodiments, irrigation control apparatuses, systems, and methods are provided herein. In some embodiments, a system includes a server having a control circuit; a database; and a central control irrigation application configured to be executed by the control circuit, wherein when executed by the server, the application: receives, from a first user associated with a first account, a request to change rights for an irrigation site with respect to a second user associated with a second account, wherein the request specifies a code that corresponds to the second account; and edits an asset table stored in the database to associate a unique identifier associated with the second account and corresponding to the code with the group of one or more irrigation controllers in the asset table to allow the second user to access and edit the at least one programming parameter of the group via a user interface.

A method and device for optimizing dataflow load in an accelerator of a fully homomorphic encryption (FHE) program are provided. The accelerator is configured with a FHE network including a plurality of permute units, and the method includes obtaining a set of program parameters; obtaining a set of optional orderings; determining optimal program parameters to match an ordering of the set of optimal orderings to yield a required dataflow load; and modifying a FHE program to place coefficients in the permute units and perform the permutations based on the optimal program parameters and matching ordering.

This disclosure relates to a method, apparatus, device, and medium for dynamic multi-environment publishing of WeChat Mini Programs. The method includes: obtaining a configuration file set and a private key certificate; packaging and compressing the configuration file set and private key certificate; sending them to the object storage server corresponding to the WeChat Mini Program platform; responding to receiving the target code to be uploaded on the code hosting platform; retrieving the target WeChat Mini Program parameter set corresponding to the target code from the object storage server; modifying the target configuration file corresponding to the target WeChat Mini Program parameter set according to the target code; and transmitting the target configuration file to the WeChat Mini Program publishing script according to the target private key corresponding to the target configuration file, so that the WeChat Mini Program publishing script publishes the Mini Program source code in the target configuration file to the WeChat Mini Program platform; and receiving the upload notification result sent by the WeChat Mini Program publishing script. This automates the code upload process, reducing the manual cost of code transmission in multiple environments.

A system may include one or more processors. The one or more processors may be configured to determine, using first data relating to a sample set of non-volatile memory devices, one or more program parameters of each of a plurality of rows of cells of a non-volatile memory. The one or more processors may be configured to adjust, using the first data, the one or more program parameters of each of the plurality of rows by equalizing the one or more program parameters across the plurality of rows. The one or more processors may be configured to determine one or more programming voltages of each row based at least in part on the adjusted program parameters of the plurality of rows. The one or more processors may be configured to program a first row of the plurality of rows using the one or more programming voltages of the first row.

Various aspects of the present disclosure relate to a memory sub-system for adjusting memory device programming parameters. A processing device receives a write command to write data to the memory device. The processing device determines that the write command is an operating system write command. The processing device loads a first set of values for respective parameters responsive to determining that the write command is the operating system write command. The processing device writes the data to the memory device using the first set of values. The processing device loads a second set of values for the respective parameters after writing the data to the memory device using the second set of values.

The application provides a washing machine and a control method and a control system thereof. The control method of the washing machine comprises the following steps: obtaining program parameters of a recent preset number of times of the washing machine from a cloud server; processing the program parameters of the recent preset number of times to obtain target parameters; and controlling the operation of the washing machine according to the target parameters. The program parameters of the recent preset number of times of the washing machine are stored in the cloud server, which can improve the safety of data storage, reduce or avoid data loss caused by power failure of the washing machine compared with storing the program parameters in the washing machine. Furthermore, the washing habits of the user are matched according to the program parameters of the recent preset number of times instead of using the fixed program of the washing machine, which can optimize the memory function of the washing machine and improve the user experience.

A system includes at least one infusion pump, an EMR server, an analysis engine, and a communication server. The analysis engine is configured to receive programming parameters and patient information from at least one of the infusion pump(s) and the EMR server. The analysis engine further configured to use at least one machine learning model configured to detect errors and abnormalities of programming parameters to generate an alert based, at least in part, on the programming parameters and the patient information. The communication server is communicatively coupled to a database and configured to both send and receive information from the infusion pump(s) and the analysis engine. The information received from the analysis engine includes the alert, which is saved in the database and transmitted to the infusion pump(s).

The present disclosure provides a memory management method and a memory controller, which are suitable for a storage device configured with a memory module. The method comprises: maintaining a plurality of candidate programming configurations, wherein the plurality of candidate programming configurations respectively correspond to different programming parameter groups; obtaining a current working state of the memory module; based on the current working state and a historical evaluation index of each candidate programming configuration, selecting a target programming configuration from the plurality of candidate programming configurations by using an adaptive decision strategy; and applying a target programming parameter group corresponding to the target programming configuration to perform a programming operation on the memory module. In addition, the method further comprises collecting execution feedback data after the programming operation is completed, calculating a quantitative return value and updating the historical evaluation index. Through the closed-loop adaptive learning mechanism, the present disclosure can dynamically balance the programming efficiency, reliability and energy consumption of the memory under different temperature, aging degree and load conditions.

A method of training a signal processing pipeline for deployment into a programmable architecture of a target device is provided. The method includes obtaining a model and characterization data of a target device component, and programmable parameter values of a signal processing pipeline. A plurality of target devices are then simulated. The simulated target device is based on the characterization data such that the simulated target device represents digital twinning and / or random variability of the plurality of target devices. A programmable parameter value update for the programmable parameter of each simulated target device is calculated independently using an optimization method, and then the programmable parameter value update is reduced to a single update for the programmable parameter value of the signal processing pipeline.

The systems, devices, articles, and methods generally relate to sampling from an available probability distribution. The samples may be used to create a desirable probability distribution, for instance for use in computing values used in computational techniques including: Importance Sampling and Markov chain Monte Carlo systems. An analog processor may operate as a sample generator, for example by: programming the analog processor with a configuration of the number of programmable parameters for the analog processor, which corresponds to a probability distribution over qubits of the analog processor, evolving the analog processor, and reading out states for the qubits. The states for the qubits in the plurality of qubits correspond to a sample from the probability distribution. Operation of the sampling device may be summarized as including updating a set of samples to include the sample from the probability distribution, and returning the set of samples.

The memory device includes a memory block with a plurality of memory cells that are arranged in a plurality of word lines. The memory device also includes circuitry that is configured to program at least some of the plurality of memory cells of a selected word line of the plurality of word lines in at least one program loop of a programming operation. During the at least one program loop, the circuitry is configured to apply a programming pulse to the selected word line, perform a verify operation, and perform an analog bitscan operation. The circuitry is also configured to determine an output of the analog bitscan operation. The output is one of at least three options. The circuitry is further configured to control at least one programming parameter based on the output of the analog bitscan operation.

A system includes at least one infusion pump, an EMR server, an analysis engine, and a communication server. The analysis engine is configured to receive programming parameters and patient information from at least one of the infusion pump(s) and the EMR server. The analysis engine further configured to use at least one machine learning model configured to detect errors and abnormalities of programming parameters to generate an alert based, at least in part, on the programming parameters and the patient information. The communication server is communicatively coupled to a database and configured to both send and receive information from the infusion pump(s) and the analysis engine. The information received from the analysis engine includes the alert, which is saved in the database and transmitted to the infusion pump(s).

Disclosed are a programming method, apparatus and system, a computing-in-memory apparatus, and an electronic device. The method is executed by a computing-in-memory apparatus, wherein the computing-in-memory apparatus comprises a memory circuit. The method comprises: receiving a first programming instruction from a server, the first programming instruction comprising a first programming parameter; controlling a first write operation according to the first programming parameter, the first write operation being configured for writing first weight data to the memory circuit; acquiring a first result of the first write operation; sending a first indicating message to a server, the first indicating message being configured for indicating the first result; receiving a second programming instruction from the server, the second programming instruction being generated on the basis of the first result and comprising a second programming parameter; and controlling a second write operation according to the second programming parameter, the second write operation being configured for adjusting the first weight data written to the memory circuit. The described solution enables physical programming execution to be separated from programming control and reduces programming control requirements for computing-in-memory apparatuses, thereby reducing compute requirements for programming control portions of computing-in-memory apparatuses, and lowering computing-in-memory apparatus complexity and costs.

A user parameter configuration method for polymerase chain reaction technology, comprising the following steps: configuring system parameters, Mix parameters and PCR program parameters; configuring PCR scheme parameters; program parsing system parameters, Mix parameters and scheme parameters; and bringing the parsed parameters into the PCR program of a PCR instrument for experiment; wherein json string processing is performed when storing data, and the json string is stored in a field in a table in a database; wherein json deserialization objects or arrays are executed when displaying data, and the page traverses the objects or arrays to display data; the method further comprises the steps of: obtaining data of a detailed table filled in by a user in a foreground interface, and performing data verification; after the data verification passes, the data is converted into a json string, and the data of the json serialized string is transmitted to a background; the background processes the json string into objects or object arrays for logical processing; and the processed objects or object arrays are converted into a json string and stored in a database.

The present disclosure generally relates to generating programming parameters for non-volatile memory devices based on physical device parameters. Various implementations described herein relate to systems and methods for programming data, including determining a target row corresponding to a program command, and setting a row-based programming parameter for the target row using a target physical device parameter for the target row and an optimized programming parameter corresponding to the physical device parameter.