34 results about "Configuration selection" patented technology

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.

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.

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 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.

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.

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.

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 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 an antenna configuration selection method for access point equipment, and the method comprises the steps: detecting the channel state of the access point equipment before each transmission opportunity carries out data transmission; and selecting the corresponding antenna configuration to perform data transmission in the transmission opportunity according to the matching result of the channel state and the antenna configuration. The disclosure also relates to an access point device and a computer program product.

The invention discloses a multi-type real-time data analysis task scheduling system and method based on side effect analysis, and the system is applied to a cloud edge distributed cooperative system, and comprises a performance estimation module which is used for estimating the performance of any scheduling strategy in different runtime situations according to the perception and analysis result of the runtime situations, and calculating the corresponding side effects; the configuration selection module is used for calculating side effects of any modifiable configuration set and screening out modifiable configuration sets with low side effects; and the feedback control module is used for analyzing the real-time performance of the task according to the real-time data, adjusting the coordinate points for representing the scheduling strategy in the high-dimensional configuration space, and controlling the change direction and amplitude of the coordinate points so as to determine the updating result of the scheduling strategy. According to the method, the modifiable configuration set which specifically needs to be adjusted when the scheduling strategy is updated is screened in advance through side effect analysis, the number of configurations needing to be modified when the scheduling strategy is updated is reduced, and the cost of updating the scheduling strategy in scheduling of the multi-type real-time data analysis task system is reduced.

A mobility device configurable in a first walk configuration and a second stair-climb configuration, including a frame with movable front leg portions, a leg-actuation system connected to the front leg portions and a safety-control device mounted to the frame. The safety-control device includes a configuration selector, and a lever connected to the leg-actuation system and configured to actuate the cable actuation system so as to cause the first and second movable leg portions to move from a first position to a second position. The lever remains locked in a first lever position such that the lever cannot be moved unless the configuration selector is in a depressed position, thereby preventing inadvertent movement of the leg portion.

Apparatus, methods, and computer program products for initiating performance of one or more program subsidiary execution actions are provided. A method may include generating a program configuration selection interface component based at least in part on unconfigured program orchestration data, outputting the program configuration selection interface component for rendering to a program management interface of a computing device, identifying configured program orchestration data via the program configuration selection interface component, generating one or more program external service node links based at least in part on the configured program orchestration data, configuring an automated program subsidiary execution action engine based at least in part on the configured program orchestration data and one or more of the one or more program external service node links, initiating, using the automated program subsidiary execution action engine, performance of one or more program subsidiary execution actions.

The invention discloses a mechanical arm trajectory planning method for curtain wall cleaning tail end pose limitation. The mechanical arm trajectory planning method comprises the steps that S1, configuration sea selection and candidate pool construction are conducted in a limited space; s2, simulating the full-stroke movement of the mechanical arm along the corresponding operation section, and removing invalid configuration branches; for the effective configuration branches, a dimensionless global total cost function is constructed based on the joint motion amount, and the cleaning operation cost of the corresponding configuration in the operation section is obtained; s3, constructing a configuration transfer diagram for connecting adjacent operation sections; based on a graph search algorithm, optimizing a sequence combination containing the optimal initial configuration of each section of operation by taking minimization of global total cost as a target; and S4, a joint space or Cartesian space movement track meeting the continuity constraint is generated in a track interpolation mode, and the mechanical arm is driven to execute a cleaning operation task. The problems that under the working condition that no tail end adjustment space exists, a mechanical arm is prone to joint deadlock and configuration switching is not smooth are solved.

The invention provides a product selection and matching method and device, electronic equipment and a storage medium, and relates to the field of artificial intelligence and the field of intelligent cabins, and the method comprises the steps: obtaining selection and purchase configuration information in response to a configuration selection operation for a product selection and purchase configuration page; displaying product standard visual content conforming to the purchasing configuration information, and displaying at least one product actual visual content published by the purchased user and conforming to the purchasing configuration information; and in response to a viewing operation on the standard visual content of the product and / or the actual visual content of the at least one product, triggering the display of the target visual content indicated by the viewing operation. Therefore, by displaying the product standard visual content and the product actual visual content for purchasing reference, a dual display system with complementation of ideality and reality and consideration of aesthetic feeling and reality can be formed, the information integrity and perception accuracy of the to-be-purchased user in the product purchasing process are remarkably improved, and the user experience is improved. Therefore, decision hesitation and repeated configuration modification caused by visual deviation are effectively reduced.

A method for obtaining the envelope conditions of domestically produced CQFP256 packaged devices for aerospace applications, belonging to the field of electronic product mechanical reliability technology, includes: obtaining the stress-life curve of the domestically produced CQFP256 packaged device; constructing the characteristic matrix of the domestically produced CQFP256 packaged device; performing simulation of the packaged device in the typical characteristic matrix and calculating the expected life of the domestically produced CQFP256 packaged device; and determining the envelope conditions of the domestically produced CQFP256 packaged device. This invention will provide support for the efficient verification of mechanical reliability design of subsequent product models using domestically produced CQFP256 packaged devices. Furthermore, while meeting mechanical load conditions, it can also provide strong guidance and support for chassis configuration selection, device layout optimization, and determination of process hardening methods.

The application discloses a kind of based on big model's grinding optimization processing system, the system includes: semi-autogenous mill optimization algorithm processing module, for semi-autogenous mill optimization algorithm utilizes optimization algorithm to process, obtains optimization node;Semi-autogenous mill pretreatment module is used to realize man-machine interaction front end semi-autogenous mill parameter, variable iteration, remote semi-autogenous mill automatic monitoring, semi-autogenous mill input variable pretreatment and normal running semi-autogenous mill connection;Big model fuzzy expert system module is used to provide the experience rule of depth learning optimization algorithm and semi-autogenous mill fuzzy logic to carry out data processing;Semi-autogenous mill parameter configuration selection module is used to carry out the configuration of the working mode of semi-autogenous mill optimization algorithm under different parameters, the present application meets the urgent needs of high-efficiency, intelligent grinding technology for mining industry, also lays a solid foundation for the development of future grinding optimization technology.

The application discloses a selector determination method and device, equipment and computer readable storage medium, apply to log collection technical field, including: obtaining the resource information corresponding to the current log distribution task and corresponding data type;Wherein, the resource information includes the resource information of the event temporary buffer area and the host resource information;According to the resource information and the data type, the selector information is predicted;Wherein, the selector information includes the selector type and the selector configuration information;According to the selector type and the selector configuration information, the selector corresponding to the next log distribution task is determined.Compared with the current manual configuration selector, the application predicts the selector type and the corresponding selector parameters required by the next log distribution task according to the resource information corresponding to the current log distribution task and the data type, since each selector type can correspond to multiple selector parameters, which is equivalent to the existence of many parameter different selectors, and the accuracy of the selector determination is improved.

The invention relates to an antenna configuration selection method for access point equipment, and the method comprises the steps: determining a training strategy for testing antenna configuration at least partially based on a communication scene of the access point equipment; testing a plurality of antenna configurations based on the determined training policy; and selecting a target antenna configuration from the plurality of antenna configurations based on the tested plurality of antenna configurations. The disclosure also relates to an access point device and a computer program product.

The application discloses a control method and system for multi-configuration gearbox, and relates to the technical field of intelligent control, which comprises the following steps: calculating the total driving resistance of a vehicle and converting the total driving resistance into tractive force, multiplying the tractive force by the current vehicle speed to obtain a power estimation value, calculating the instantaneous change rate of the accelerator pedal opening degree signal and converting the instantaneous change rate into driver demand intensity to construct a macro feature vector; converting the demand tractive force into demand torque of the gearbox input shaft to obtain a thermodynamic entropy production rate, calculating a comprehensive cost, and screening a target configuration; and judging the current gearbox configuration based on the target configuration and intelligently controlling the switching of the gearbox configuration. Through the dynamic calculation of the total driving resistance of the vehicle and the driver demand intensity, in combination with real-time road conditions and driving behavior, the configuration selection of the gearbox is optimized, different driving scenarios are matched, the calculation of the thermodynamic entropy production rate and the switching transient excitation potential is utilized, and the comprehensive performance of the gearbox is improved.

The invention discloses a redundant drive parallel robot digital platform design system, and belongs to the technical field of digital platforms for robot design. An RAPRDev platform is designed to serve as a digital platform of the parallel robot and comprises a configuration selection module, a scale design module, a kinematics analysis module, a structure design module and a finite element simulation analysis module, and the modules are integrated through an integrated design environment module to achieve design of the parallel robot. By the adoption of the platform, the design process of the parallel robot is integrated on one platform, the technical scheme that multiple functions are integrated is achieved through the platform, and a redundant drive parallel robot design unified theoretical model is integrated into a digital platform. Based on the spinor theory, a unified expression model of the motion characteristics of the parallel robot is provided in the configuration selection module. A redundant drive parallel robot general scale optimization model with dexterity as a kinematics performance index is provided in a scale optimization module.

The invention provides an optimal configuration type selection method and device for many-to-one and one-to-one hydrogen production machine clusters of a photovoltaic power generation hydrogen production system, and belongs to the technical field of configuration optimization of hydrogen production systems. Comprising the following steps: establishing a one-to-one cluster scheduling model of the photovoltaic power generation hydrogen production system; expanding the one-to-one cluster scheduling model into a many-to-one cluster scheduling model based on a many-to-one hydrogen production machine cluster scheduling coupling characteristic; and establishing an optimization model by taking photovoltaic hydrogen production income maximization as a target, comparing operation differences of cluster scheduling of different types of hydrogen production machines, performing configuration type selection of the hydrogen production machines, and determining an auxiliary machine and electrolytic cell configuration scheme of the hydrogen production machines. According to the method, a one-to-one hydrogen production machine operation model and a many-to-one hydrogen production machine operation model are respectively established, the difference of the two models in photovoltaic absorption capabilities is further quantified under the same photovoltaic condition, and the optimal configuration type selection of the hydrogen production machine is further given.

The invention discloses a multi-industrial-robot motion planning method for improving deep reinforcement learning, and the method comprises the following steps: S1, carrying out the environment configuration, selecting a simulation platform and an industrial robot model corresponding to the simulation platform, building a simulation environment containing physical constraints, and setting the operation modes of industrial robots, the motion process of each joint of the industrial robot and the pose change of each component and an end effector under the motor driving condition are simulated, and the contact and collision behaviors between the industrial robot and other industrial robots or obstacle entities in the environment are detected and fed back. According to the method, an augmented experience buffer pool separation method based on simulated annealing is introduced, and a dynamic reward feedback and action correction mechanism of an artificial potential field is combined, so that the effective sample utilization rate and exploration efficiency in the training process are remarkably improved.

This disclosure describes interfacing techniques between client devices and industrial automation devices in industrial automation environments. The client devices described herein are configured to submit capabilities requests to an industrial automation devices to determine capabilities and build device profiles, according to some implementations. A user may configure options of the capabilities by making configuration selections within a user interface of the client device. When configuration selections are received via the user interface, the client device submits command requests to the industrial automation devices to configure the capabilities.