81 results about "Configuration selection" patented technology

The invention belongs to the technical field of virtual automobile exhibition, and particularly relates to a virtual automobile exhibition system based on digital twinning. The system comprises a digital twinning construction module which generates a lightweight model and supports first-person visual angle dynamic updating; the user behavior analysis module is used for mapping data such as a sight track into a weighted directed graph, and predicting vehicle types and configuration requirements by using a multi-head graph attention network; the personalized configuration selection module is used for generating a configuration scheme in combination with digital twinborn parameters; the virtual test driving module is used for providing immersive experience based on the configuration scheme and the scene; and the background data analysis module integrates the data to generate a user portrait so as to optimize the exhibition content. According to the system, dynamic virtual-real mapping, accurate demand prediction and data-driven intelligent exhibition are realized, and the user interaction depth and the car purchase efficiency are improved.

A user device, UE, for a wireless communication network, is connectable to two or more of a plurality of network slices of the wireless communication network, wherein a slice specific random access channel, RACH, resource configuration is associated with one or more of the plurality of slices. Responsive to a first RACH event associated with a first slice, the UE is to determine whether there is an ongoing RACH procedure triggered by a second RACH event associated with a second slice. In case of an ongoing RACH procedure, the UE is toprohibit an additional RACH procedure triggered by the first RACH event associated with the first slice, and / orsuspend the additional RACH procedure for a certain time, and / orstop the ongoing RACH procedure and start the additional RACH procedure, and / ormodify the ongoing RACH procedure, and / ormodify the ongoing RACH procedure to start the additional RACH procedure.

The invention relates to the technical field of software testing, and provides a custom configuration data checking and creating method and platform, electronic equipment and a storage medium, and the method comprises the following steps: carrying out SQL statement pre-configuration of data checking and creating; selecting a number checking condition, and executing the SQL statement of the variable enumeration value; obtaining a query result, and judging whether the query result meets requirements; and if the requirements are not met, calling an automatic script for data creation. According to the technical scheme, the wanted preposed data is searched in a number checking mode, and the traditional manual preparation time is greatly shortened. The platform is compatible with and adapts to different service lines, one-time development is completed, almost zero maintenance is achieved, all the service lines can be used, and customized development investment is greatly reduced; different service requirements are met, an interface automation platform is butted, a number checking and creating closed loop can be formed, and the continuous availability of the platform is kept.

The invention provides an OEM information customization method and device, and relates to the technical field of computers, and the technical scheme is characterized in that an actual hardware component list of a to-be-configured notebook computer is acquired; screening out a group of candidate hardware configuration packets from a plurality of predefined hardware configuration packets; analyzing metadata of each hardware configuration packet in the candidate hardware configuration packets, and determining a hardware configuration packet subset of a final application and an application sequence of each hardware configuration packet in the subset from the candidate hardware configuration packets; and executing the execution instruction embedded in the hardware configuration packet subset of the final application. The OEM information customization method and device provided by the invention have the advantages of adapting to the change of the actual hardware component list, selecting the configuration package based on the actual hardware component list, determining the application sequence of the configuration package according to the rule, completing the configuration matched with the actual hardware component list, reducing the mismatching of the configuration, supporting the processing of hardware combination, and improving the user experience. Automatic configuration selection and application are realized; and a configuration management structure is provided.

A first terminal device receives a software development kit SDK resource package sent by a second terminal device, and stores the SDK resource package in a storage, where the SDK resource package is obtained by the second terminal device from a cloud server; and in response to SDK configuration selection, loads an SDK selected through the SDK configuration selection into a memory, and displays, on a home screen, an icon corresponding to the SDK loaded into the memory. Each SDK resource package and a standard application are developed according to a predefined unified standard, to ensure that the standard application is capable of successfully invoking, for binding and use, the SDK loaded into the memory.

An integrated circuit configuration selection device (300) selects circuit configurations for realizing a plurality of predefined interconnected functions by using an interconnected integrated circuit (200) obtained by interconnecting a plurality of juxtaposed integrated circuits (20, 30, 40) in which a plurality of FPGAs (10a-10i) for realizing functions are juxtaposed. Said configuration is either one or both of a plurality of interconnected paths and a plurality of function arrangements of the FPGAs (10a-10i). A configuration selection unit (52a) for selecting a circuit configuration in which the number of juxtaposed integrated circuits (20, 30, 40) is minimized from among the plurality of circuit configurations for realizing the plurality of interconnected functions is provided.

1. Name of the product in this design: Graphical User Interface for Industrial Reports in Electronic Equipment. 2. Purpose of this design: For displaying information and interaction on electronic devices. 3. The key design features of this product are its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: The interface of this design uses a graphical presentation method for industrial report style design, data sequence filling, data rendering configuration selection, data entry rule configuration, data filtering rule configuration, etc. 6. Human-computer interaction method of graphical user interface: The main view is the home page of report operation. Clicking "Data" under "Related Data" in the main view will enter the interface change state diagram 1. Clicking "Collection System" in the interface change state diagram 1 will enter the interface change state diagram 2. Clicking "All Categories" in the interface change state diagram 2 will enter the interface change state diagram 3. Clicking "A1 Steel Group Steelmaking Process" in the interface change state diagram 3 will enter the interface change state diagram 4. Clicking "Blast Furnace" in the interface change state diagram 4 will enter the interface change state diagram 5. Clicking "Sintering" in the interface change state diagram 5 will enter the interface change state diagram 6. Drag the data in the interface change state diagram 6 into the "Total Hardness" data column to enter the interface change state diagram 7. Clicking the second icon from the bottom to the top on the right side of the interface change state diagram 7 will enter the interface change state diagram 8.

A system for managing data includes an application configurator that is configured to obtain, from the client device, a request for a new generated application, wherein the set of configured models is based on a baseline model. In response to the request, the application configurator initiates a guided setup using an user interface to obtain a set of configuration selections for generating the set of configured models, generates the set of configured models based on the set of configuration selections, and apply a set of application programming interface (API) calls to the baseline model to generate a data hub and a spoke model. The data hub and spoke model is provided to a client device requesting the set of configured models.

The invention discloses a self-adaption energy storage demand control method based on prediction confidence, and the method comprises the following steps: a preparation stage: carrying out scene recognition and configuration selection, recognizing the current date type, and loading a corresponding configuration parameter according to a recognition result; in the execution stage, a rolling execution closed-loop control mechanism is adopted, the closed-loop process of'prediction-evaluation-adjustment-optimization-execution-feedback 'is completely executed in each first time period, and real-time accurate regulation and control of the energy storage system are achieved through dynamic iteration; in the learning stage, after the execution stage is completed, incremental updating is conducted on the prediction model through the actual operation data of the whole period of the day. The technical problems that an existing energy storage demand control method is lack of robustness to prediction errors, unreasonable in safety boundary strategy and lack of multi-scene adaptability due to the fact that the load prediction errors are large are solved.

The invention discloses a dynamic equipment layout method based on a quasi-object strategy and a multi-target ant colony optimization algorithm. The method comprises the steps of layout initialization, layout legalization operation, a movement strategy based on reference equipment, configuration optimization operation and Pareto optimal configuration selection based on a maximum and minimum target distance method. N configurations Xl (l = 1, 2,..., n) are randomly generated, each ant l represents one configuration Xl, and initial configurations of the n ants are obtained; performing legalization operation on the configuration X1 by adopting a gradient method based on dynamic step length, executing a movement strategy based on reference equipment to obtain a group of compact and legal configurations, and recording the configurations as a configuration library BL; selecting all non-dominated configurations in the set BL, and storing the non-dominated configurations in an external document CS; and for the current ant l, generating a random number o, and judging the size relationship between the random number o and the parameter p to select an optimization strategy, when o is greater than p, selecting to execute a local search strategy based on improved pseudo-random proportion, otherwise, using a global optimization strategy based on ecological niche.

The invention relates to a memory chip and a semiconductor test system. The storage chip comprises a clock selector, a configuration selector, an on-chip clock source and a storage module; wherein the clock selector is used for determining a working clock signal of the storage chip in an external input clock signal and an on-chip clock signal generated by the on-chip clock source based on a received signal; the configuration selector is used for setting the on-chip clock source and / or the storage module based on the received signal; the on-chip clock source is used for generating at least one on-chip clock signal based on the setting of the configuration selector; and the storage module is used for writing and / or reading data based on the received signal and the work clock signal. By adopting the storage chip, the compatibility and the flexibility can be improved.

The application discloses a global learning optimization method and system for airport scene taxiing scheduling, and the method comprises the following steps: constructing an airport taxiway multi-graph model, converting the taxiway network into a discrete multi-graph structure containing speed configuration selection; establishing a global multi-objective AGM optimization model with the path, speed profile and ground waiting delay of all aircrafts as decision variables, minimizing the total taxiing time and total fuel consumption as the optimization target, and setting multiple constraint conditions; adopting random key hierarchical coding to uniformly represent all aircraft taxiing plans; generating a feasible path through heuristic guided decoding, and combining a time-space repair mechanism to guarantee the feasibility of the solution; constructing a diversified mating pool driven by topological clustering, adaptively activating the mating pool based on a large language model and allocating computing resources; and outputting a Pareto optimal taxiing scheduling scheme through iterative evolution. The application can simultaneously consider the taxiing optimization of all aircrafts and provide a truly selectable Pareto optimal solution set.

The application discloses a kind of based on prediction confidence self-adaptive energy storage demand control method comprising the following steps: preparation stage, scene identification and configuration selection are carried out, current date type is identified, and corresponding configuration parameters are loaded according to the identification result;Execution stage, the closed-loop control mechanism of rolling execution is used, the closed-loop process of "prediction-evaluation-adjustment-optimization-execution-feedback" is completely executed every first time period, and real-time accurate regulation and control to energy storage system is realized by dynamic iteration;Learning stage, when the execution stage is completed, the actual operation data of the whole cycle of the day is used to incrementally update the prediction model.The application solves the technical problems of the existing energy storage demand control method due to large load prediction error, lack of robustness to prediction error, unreasonable safety margin strategy and lack of multi-scenario adaptability.

The invention provides a model conversion method and device and a storage medium. The method comprises the steps of receiving a model conversion request sent by a client based on a designer canvas; the model conversion request comprises a domain model and a model type to be converted; loading a model conversion engine; calling a model conversion engine to convert the domain model into an application class model under the model type; and if the conversion is completed, storing the application class model into a model database. According to the embodiment of the invention, through a mechanism of converting the application model from the domain model and in cooperation with recording and storage functions of the conversion operation, tracing of the model modification history is realized, the user is guided to complete configuration selection and data input through the built-in and predefined model conversion engine, operations such as manual compiling of complex conversion scripts by the user are reduced, and the user experience is improved. The technical operation threshold is greatly reduced, omission or errors possibly caused by manual synchronous operation are effectively reduced through the mechanism, and the consistency maintenance level between different abstract levels is remarkably improved.

The present invention relates to the field of image processing technology, specifically providing a programming method for a telescope image acquisition and camera control system. An automated engineering configuration file is constructed by reading an automated acquisition card configuration file to determine the image acquisition derived class header file and source file involved in compilation. The image acquisition module includes an image acquisition interface class and an image acquisition derived class. The corresponding image acquisition derived class is selected for instantiation based on acquisition card information. During software initialization, a camera communication module selects and instantiates the corresponding camera communication derived class based on the camera brand and model configuration read from the runtime camera configuration file. This method reduces program development workload, code maintenance workload, and program debugging difficulty, improves the scalability of cameras and acquisition cards in the code, and enhances software adaptability.

A method for managing virtual machines (VMs) obtaining, by a metadata file manager, an instant access request for instant access to a backup of a VM to execute in a production host, wherein the backup is stored in a backup storage system, in response to the instant access request: obtaining a configuration selection for the instant access of the backup, obtaining backup metadata associated with the backup, generating, at the production host, a temporary virtual disk based on the configuration selection and the backup metadata, generating, in the metadata file manager, a second virtual disk comprising logical blocks, mapping VM data stored in the backup storage system to the logical blocks in the second virtual disk, configuring the VM to read from the temporary virtual disk, and servicing a write request of the temporary virtual disk using the mapping of the VM data in the second virtual disk.

A data processing system for selecting configurations for virtual functions includes a runtime processor coupled to a reconfigurable processor having arrays of coarse-grained reconfigurable units. The runtime processor receives a virtual function request specifying resource requirements including compute requirements, memory requirements, or performance requirements. The runtime processor analyzes the resource requirements to determine a resource profile characterizing the virtual function's computational needs, evaluates available configuration options that provide different array allocations, and selects a configuration that matches the resource profile to configuration capabilities. Selection is based on comparing the resource profile against capability thresholds, where configurations providing one array per virtual function satisfy low requirements, configurations providing two arrays satisfy medium requirements, and configurations providing four arrays satisfy high requirements. The selected configuration optimizes resource utilization while meeting the virtual function's requirements.

1. Name of the Design Product: Graphical User Interface for Vehicle Ordering and Configuration Selection on Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lies in the graphical user interface. 4. Picture or Photo that Best Illustrates the Design Key Points: Variation State Diagram 1. 5. The carrier is of conventional design, and the rear view, left view, right view, top view, and bottom view are omitted. 6. Use of the Graphical User Interface: This graphical user interface of the design is used for vehicle configuration, including basic vehicle configuration, exterior configuration, wheel configuration, interior configuration, and optional configuration. 7. Explanation of the Variation States of the Graphical User Interface: The main view is the home page interface, used to display vehicle advertisement pictures and reservation entrances. Click the "Reserve Now" button in the main view to jump to Variation State Diagram 1. Among them, the page displayed in Variation State Diagram 1 is the vehicle model option. Click the "Exterior" button in Variation State Diagram 1 to jump to Variation State Diagram 2. Among them, the content displayed in Variation State Diagram 2 is the exterior option. Click "Interior" in State Diagram 2 to jump to Variation State Diagram 3. Among them, the content displayed in Variation State Diagram 3 is the interior option. Click "Rim" in Variation State Diagram 3 to jump to Variation State Diagram 4. Among them, the content displayed in Variation State Diagram 4 is the rim option. Click "Optional" in Variation State Diagram 4 to jump to Variation State Diagram 5. Among them, the content displayed in Variation State Diagram 5 is the optional option. Click the "Next" button in Variation State Diagram 5 to jump to Variation State Diagram 6. Among them, the content displayed in Variation State Diagram 6 is vehicle configuration, etc.

The invention provides a light commercial vehicle product access type inspection configuration optimization method and device, and the method comprises the steps: carrying out the analysis of applicable laws and regulations based on type inspection items, constructing a type inspection configuration parameter library based on an analysis result, filling the parameter library with product configuration parameters to form a plurality of configuration parameter sets, and carrying out the optimization of the product access type inspection configuration of a light commercial vehicle. And constructing an incidence matrix of the filing parameters and the type inspection items, obtaining an optimized configuration parameter set combination through a model based on the configuration parameter set, the corresponding configuration selection matrix and the incidence matrix, and generating a type inspection scheme table based on the configuration parameter set combination. Compared with a traditional manual configuration method, the method has the following beneficial effects: through automatic configuration and optimization, manual intervention is reduced, and the making efficiency of an inspection scheme is greatly improved; an inspection scene is fully covered through an intelligent algorithm, and omission and errors are avoided; resource configuration is automatically optimized, and repeated testing and resource waste are reduced; the flow is uniformly configured, and the comparability and reliability of the test result are improved.

Aspects of the present disclosure relate to automated optimization of machine learning models. Embodiments include determining a set of initial configurations for parameters associated with the machine learning model. Embodiments further include selecting a configuration based on the set of initial configurations and an evolutionary selection process comprising excluding configurations that result in a level of performance for the machine learning model that is below a threshold. Embodiments further include executing the machine learning model using the selected configuration.

In automated machine learning, a near-optimal configuration can be selected among multiple candidate machine learning configurations by progressively sampling training and test datasets for iterative training and testing of the configurations, while progressively pruning the set of candidate configurations based on associated estimated confidence intervals of the corresponding performance.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first user equipment (UE) may obtain configuration information that includes a flexible parameter associated with selecting resources for sidelink communications, where the flexible parameter may be associated with a plurality of parameter values. The first UE may transmit, to a second UE, a sidelink message via a set of sidelink resources. In some examples, the set of sidelink resources may be selected in accordance with a parameter value from the plurality of parameter values. In some examples, the parameter value is based on data associated with a sidelink environment and one or more key performance indicators (KPIs) associated with the sidelink environment. Numerous other aspects are described.

Integrated circuit devices, methods, and circuitry for configuring input / output (IO) circuitry for boundary scan chain testing is provided. An integrated circuit device may include a configuration register and IO configuration selector circuitry. The configuration register may define a voltage level of the IO circuitry based on a code stored in the configuration register. The IO configuration selector circuitry may determine the code based on a power-on-reset (POR) instruction.

The invention relates to the technical field of image processing, in particular to a program design method of a telescope image acquisition and camera control system, which comprises the following steps of: determining an image acquisition derivative header file and an image acquisition derivative source file participating in compiling by reading an automatic construction acquisition card configuration file according to an automatic construction engineering configuration file; the image acquisition module comprises an image acquisition interface class and an image acquisition derivation class, the corresponding image acquisition derivation class is selected for instantiation according to acquisition card information, and in the software initialization process, the camera communication module sends the image acquisition interface class and the image acquisition derivation class according to the configuration of a camera brand model reading a camera configuration file during operation; and selecting a corresponding camera communication derivation class for instantiation. According to the method, the program development workload is reduced, the code maintenance workload is reduced, the program debugging difficulty is reduced, the expandability of the camera and the acquisition card in the code is improved, and the software adaptation capability is improved.

The invention particularly relates to an aero-engine health management system. The architecture of the aero-engine health management system comprises a base layer, a platform layer, an application layer and a display layer, the base layer provides computing resources, storage resources and a database required by platform software operation; the platform layer comprises a general basic platform layer and a business platform layer; the general basic platform layer provides basic platform software functions for a user, and is divided into an offline client mode and an online client mode according to the use environment of the user; the business platform layer is used for meeting EHM business requirements of the system, and comprises real-time data state monitoring, physical examination analysis, fault diagnosis, trend analysis, life management, data playback, lubricating oil spectrum analysis, performance screening, brief report customization, third-party algorithm, flight parameter rapid interpretation and performance attenuation analysis; the application layer is used for a user to select an aero-engine model of which data needs to be analyzed in a current use environment through selection configuration; and the display layer provides an operable and result display page for the user.

Embodiments of the present disclosure disclose a method and apparatus for monitoring a control channel, a chip, a device, and a storage medium, and relate to the field of communication technology. The method includes: receiving downlink control information (DCI) sent by a network device, the DCI including configuration selection information, the configuration selection information indicating an antenna switching configuration; determining a target receiving antenna number based on the antenna switching configuration indicated by the configuration selection information; and monitoring a control channel through an antenna with the target receiving antenna number.

The present application relates to the technical field of signal control, and discloses a pulse signal generation apparatus and method. The apparatus comprises: a configuration module, used for outputting at least one piece of configuration information; a pulse signal generation module, comprising a configuration storage unit for storing the configuration information outputted by the configuration module, a configuration selection unit for sequentially selecting the configuration information as target configuration information in the numbering sequence of the configuration information, and a signal generation unit for generating a pulse signal on the basis of the target configuration information; and a power supply control module, used for controlling the power supply to the pulse signal generation module on the basis of a working state of the pulse signal generation module and controlling the power supply to the configuration module. Each piece of configuration information in a configuration storage unit is sequentially selected as target configuration information, and a corresponding pulse signal is generated, thereby outputting a plurality of configurations, and improving the flexibility of load configuration; and a power supply control module separately controls the power supply to a configuration module and the power supply to a pulse signal generation module, so that the power-off of the configuration module does not affect the operation of the pulse signal generation module, thereby reducing the overall power consumption of the system.

The invention discloses a control method and system for a multi-configuration gearbox, and relates to the technical field of intelligent control, and the method comprises the steps: calculating the total driving resistance of a vehicle, converting the total driving resistance into traction force, multiplying the traction force with the current vehicle speed, obtaining a power estimation value, calculating the instantaneous change rate of an accelerator pedal opening signal, and converting the instantaneous change rate into driver demand intensity. Constructing a macroscopic feature vector; the required traction force is converted into the required torque of the gearbox input shaft, the thermodynamic entropy yield is obtained, the comprehensive cost is calculated, and a target configuration is screened; and the current gearbox configuration is judged based on the target configuration, and gearbox configuration switching is intelligently controlled. According to the method, the comprehensive performance of the gearbox is improved by utilizing the dynamic calculation of the total driving resistance of the vehicle and the intensity required by a driver, combining the real-time road condition and the driving behavior, optimizing the configuration selection of the gearbox, matching different driving scenes and utilizing the calculation of the thermodynamic entropy yield and the switching transient excitation potential.

The application discloses an arrangement method and system for automatically executing industrial tasks, and relates to the technical field of automatic execution, which comprises the following steps: an industrial process is disassembled into ability units which can be independently called and encapsulated and registered according to man-machine-material; based on historical records, step fragments are constructed into a sensor and actuator time sequence matrix, the contribution strength of calculation parameters to control actions is calculated to form an intensity indicator, a gate is generated through a suppression network, and the strength influence is suppressed in multi-head attention with a penalty term, so that a time sequence representation representing work content is obtained; a dimensional vector is output by a time sequence encoder and clustering is performed to obtain an ability type, and template input parameters, static parameters and dynamic transmission parameters can be divided. A scheduler selects a device node according to a process script and an agent configuration, and issues an action, an output is parsed according to a template and written into a state storage to realize automatic parameter transmission, and a high-availability daemon guarantees consistency and fault recovery.

The invention relates to a smelting pouring production scheduling method capable of being arranged under multiple limiting conditions, and the method comprises a compiling assembly which comprises a data collection module used for obtaining and storing production data required by a system, and taking the production data as basic data of production scheduling; the production scheduling configuration module is used for performing production scheduling configuration based on the basic data; the flow arrangement configuration module is used for carrying out logic arrangement on each limiting factor in a flow arrangement form; the resource caching module is used for caching data required by a production scheduling algorithm; compiling rules: arranging the components, and supporting serial and parallel arrangement modes; caching the data; production scheduling: production scheduling configuration, production scheduling rule selection, production scheduling result analysis and production scheduling locking. The method has the beneficial effects that the production efficiency is improved, fine resource allocation optimization is realized, the product quality is reliably guaranteed, and the forceful delivery timeliness is enhanced.