62 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.

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 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 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.

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.

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 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 BIM model-oriented building specification review method and device and a medium, and relates to the technical field of building design software, the method comprises the following steps: according to a review configuration selection instruction, reading attribute data of a target BIM model; performing format conversion on the natural language articles, and constructing an examination rule; performing logic judgment on the attribute data according to an examination rule to obtain a violation component; according to the illegal component, generating a structured review report, and bidirectionally associating the structured review report with the building component of the BIM model to modify the illegal component; and according to a received re-review instruction, reviewing the modified violation component so as to update the structured review report. According to the method, the attribute data and the component ID of the component in the BIM model are extracted and matched with the building specification rule for examination, so that the effect of quickly completing full-provision examination is achieved, the problems that in the prior art, high-level experts are relied on, and the examination period is long are solved, and the examination efficiency is greatly improved.

The present application belongs to the technical field of virtual car exhibition, and particularly relates to a virtual car exhibition system based on digital twinning. The system comprises a digital twinning construction module, which generates a lightweight model and supports first-person perspective dynamic update; a user behavior analysis module, which maps data such as sight line trajectory into a weighted directed graph and predicts vehicle type and configuration demand by using a multi-head graph attention network; a personalized configuration selection module, which generates a configuration scheme in combination with digital twinning parameters; a virtual test drive module, which provides immersive experience based on the configuration scheme and the scene; and a background data analysis module, which integrates data to generate a user portrait to optimize exhibition content. The system realizes dynamic virtual-real mapping, accurate demand prediction and data-driven intelligent exhibition, and improves user interaction depth and vehicle purchasing efficiency.

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.

The invention discloses an applet multi-instance reuse deployment method, device and equipment, a medium and a product, and relates to the technical field of applet front-end development. The method comprises the following steps: popping up a configuration selection menu containing independent configuration instances of a plurality of to-be-selected applets through a command line tool, and then determining an instance selected by a user and reading a structured file of the instance according to man-machine interaction operation of the user, the method comprises the following steps of: firstly, using a configuration injection script to inject configuration information in a file into a core configuration file of an applet project, finally removing invalid data in the applet project, and outputting the content obtained after removal processing into a construction directory so as to be used for uploading, previewing or CI / CD construction and release of the applet project. Therefore, a construction mode that a plurality of applet instances share the same set of native code structure can be realized, so that the problems of redundancy, low efficiency, error proneness and the like in a multi-instance deployment scene are solved, and practical application and popularization are facilitated.

The application discloses a D2D-oriented software-definable interconnection core particle interface and an interconnection system thereof, and relates to the technical field of computer software and hardware. The interconnection core particle interface comprises a bus bridging module, an autonomous protocol module, a mainstream protocol module, a protocol management module, a shared SERDES module and a processor configuration module, and a CRG module; wherein the bus bridging module is connected with the autonomous protocol module and the mainstream protocol module, the autonomous protocol module is connected with the protocol management module and the shared SERDES module in sequence, and the mainstream protocol module is connected with the protocol management module and the shared SERDES module in sequence. The application can better meet the requirements of low hardware cost and high compatibility by flexibly configuring and selecting the autonomous protocol interface and the mainstream protocol through software, and by using the shared SERDES module, the signal coding function and the bit width conversion function, and provides a good direction for the landing application of the core particle ecology.

The present disclosure provides system (102) and method (300) for generating a real-time node configuration view of a network. The system (102) employs an interfacing unit (304) to receive a node configuration view generation request from a user. A processing unit (306) determines whether request comprises an identifier (ID) of a network node whose node configuration view needs to be generated and extracts node details of network node based on the ID of network node. The interfacing unit (304) then provides configuration selection option and receives configuration selection input. Thereafter, the interfacing unit (304) provides a parameter name selection option and a class selection option and receives a parameter name selection input and a class selection input. Finally, processing unit (306) generates a node configuration view of network node based on parameter name selection input, class selection input, and node details of the respective network node.

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.

In various examples, a multi-configuration model may be dynamically scaled or optimized by modifying its structure or parameters during inference or runtime based on specified performance constraints (e.g., latency, accuracy, power or energy consumption) and a (e.g., current, predicted future) resource profile of the processor (e.g., a graphics processing unit (GPU), AI accelerator, etc.) executing the model. For example, resource profiling may be performed at one or more levels of monitoring and / or prediction to generate corresponding (e.g., current, near-term, long-term, external) resource profile(s) representing different points in time, and multiple levels of profiling may be combined to provide more accurate predictions. As such, a configuration selection model may be used to select the best configuration of a multi-configuration model based on one or more resource profiles, and the selected configuration may be activated to dynamically scale or optimize the model during inference or runtime in response to fluctuating resource availability.

A method, apparatus and system for antenna configuration are disclosed. In an example embodiment, an apparatus for communication is provided, the apparatus comprising: means for providing a configuration support message to a network node, the configuration support message indicating at least two supported antenna configurations; and means for obtaining a configuration selection message from the network node, the configuration selection message indicating: the selected at least one of the at least two supported antenna configurations for the Internet of Things, IoT, session.