33 results about "Target setting" patented technology

According to one aspect of the present invention, a radiation measurement system is provided, comprising: an irradiation unit, a target setting unit, a detection unit, and a candidate setting unit. The irradiation unit is configured to irradiate a target with radiation. The target setting unit is configured to place the target within the irradiation range of the radiation. The detection unit is configured to detect radiation after passing through the target. The candidate setting unit is configured to set a candidate of the target and includes a shaft, a first support, and a second support. The shaft extends axially and is configured to rotate about a rotation axis along the axial direction. The first support is configured to rotate with the shaft and includes a plurality of first support regions, each supporting a candidate of the target and arranged along the outer periphery of the first support. The second support is configured to rotate with the shaft and includes a plurality of second support regions, each supporting a candidate of the target and arranged along the outer periphery of the shaft. The first support and the second support are arranged at positions spaced apart from each other in the axial direction.

The invention belongs to the technical field of talent management development, and relates to a staged progressive talent growth path planning method and system, and the system collects and integrates the static and dynamic data of talents through a talent portrait construction module to generate an initial talent portrait; the growth stage division module divides progressive growth stages and sets capability thresholds based on the initial talent portraits and the organization development objectives; the stage target setting module is used for disassembling a stage target into quantifiable sub-target schemes with time limit; the resource matching and pushing module is used for matching resources according to the target and the portrait and automatically pushing the resources to the talent end; the capability evaluation feedback module is used for evaluating a stage target achievement condition and generating an evaluation report; the path dynamic adjustment module progressively or triggers path adjustment based on the evaluation report judgment stage; and the data storage and analysis module is used for storing the whole-process data, carrying out multi-dimensional analysis and optimizing parameters. According to the invention, personalized planning, dynamic adjustment and whole-process closed-loop management of talent growth paths can be realized.

The application discloses a college performance evaluation management system and method based on multi-source data fusion, and relates to the technical field of college performance evaluation management.The system comprises a target setting and disassembly module, a disassembly rationality evaluation module, a target progress early warning module and a performance accounting and improvement module.The application assigns initial indexes to corresponding executors, then performs weight distribution on the initial indexes of each target management level to obtain corresponding initial weights, performs multi-level index disassembly rationality evaluation, judges whether to perform index disassembly optimization, then performs performance accounting, judges whether to push early warning information to a preset person in charge, finally performs performance accounting update evaluation after performance accounting, and judges whether there is a demand to generate a performance accounting update scheme, thereby improving the effectiveness of college performance evaluation management and solving the problem of low effectiveness of college performance evaluation management in the prior art.

This application relates to the field of equipment testing, providing a method, device, and storage medium for configuring parameters of a simulated load. The method obtains the desired test parameters of the power supply device under test, performs a load test on the device based on these parameters, obtains measured data, and adjusts the resistance value of the simulated load device to determine the target setting parameters if the difference between the actual output power and the desired power value is greater than a preset threshold. Similarly, if the difference between the desired power value and the actual output power is greater than a preset threshold, the load power of the simulated load device is adjusted to determine the target setting parameters. This method, through code scripts, enables automated parameter setting of the simulated load device, avoiding human error and improving the efficiency of determining the target setting parameters.

The invention provides a switch cabinet partial discharge detection method and system and a storage medium, and belongs to the technical field of partial discharge detection.The method specifically comprises the steps that when a setting processing strategy of a harmonic monitoring device in a combination does not belong to a target setting strategy, an abnormal switch cabinet is determined according to partial discharge detection data of the switch cabinet in the combination, according to the distribution data of the partial discharge detection time period of the abnormal switch cabinet, when it is determined that optimization processing of the setting processing strategy of the harmonic monitoring device in the combination needs to be carried out, according to the change coincidence condition of the partial discharge detection data of different switch cabinets in the combination and the setting processing strategy of the harmonic monitoring device, optimization processing is carried out. The partial discharge detection method of the combined switch cabinet is determined, and the reliability of partial discharge detection processing is improved.

A braking control device 70 comprises: a target setting unit 115 that, when stopping a vehicle 10, performs an at-vehicle-stop target setting process which includes decreasing a target regenerative braking force and increasing a target frictional braking force; a correction unit 117 that corrects the target frictional braking force so that a deviation between a target value and an actual value of deceleration of the vehicle 10 is reduced; and a stop control unit 119 that, when the at-vehicle-stop target setting process is being performed, stops the vehicle 10 by operating a regenerative braking unit 20 on the basis of the target regenerative braking force and operating a friction braking unit 40 on the basis of a corrected target frictional braking force.

An object of the system according to the embodiment is to realize equal corporate planning by learning the work and experience value of the manager.SOLUTION: A system according to an embodiment includes a manager work learning unit, an objective setting unit, a task management unit, an evaluation unit, a feedback unit, a compliance monitoring unit, an indication unit, and a consultation handling unit. A manager work learning part learns the work and experience value of a manager. The target setting unit sets a target. The task management unit performs task management. The evaluation unit performs business evaluation. The feedback unit provides feedback. The compliance monitor monitors compliance compliance. The pointing out unit points out to a subordinate. The consultation handling unit acts for the consultation with the superior.SELECTED DRAWING: Figure 1

A model learning unit learns a prediction model on the basis of learning data, a target setting unit sets a target output parameter value by interpolating between a goal output parameter value and an output parameter value which is the closest to the goal output parameter value in output parameter values in the learning data, a processing condition search unit estimates input parameter values which corresponds to the goal output parameter value and the target output parameter value, a model learning unit updates the prediction model by using a set of the estimated input parameter value and an output parameter value which is a result of processing that a processing device performs as additional learning data.

An object of a system according to an embodiment is to provide specific advice for a user to efficiently manage expenses and achieve a savings goal.SOLUTION: A system includes an expenditure tracking part, a saving target setting part, a saving advice part, and an investment advice part. A spending tracker tracks spending of the user. A savings goal setting unit sets savings goals based on the expense data tracked by the expense tracking unit. The saving advice unit provides advice on saving on the basis of the saving target set by the saving target setting unit. The investment advice unit provides advice on investment on the basis of the saving target set by the saving target setting unit.SELECTED DRAWING: Figure 1

The embodiments of the present disclosure relate to an interaction method and apparatus, and a device and a storage medium. The method proposed herein comprises: displaying a set of preset event templates used for live streaming; in response to having received the selection of a target event template in the set of preset event templates, displaying a first configuration window associated with a live-streaming interaction event, wherein the live-streaming interaction event corresponds to the selected target event template, in the first configuration window, a configuration flow corresponding to the target event template is displayed, and the configuration flow comprises a plurality of setting items in a predetermined order; and in response to the selection of a target setting item among the plurality of setting items, displaying a second configuration window for the target setting item.

The invention discloses a game component parameter editing method and device, a storage medium and equipment, and the method comprises the steps: in response to triggering a simulation preview parameter editing mode for a target component, displaying a preview window on a graphical user interface, and loading and displaying the target component in the preview window; and in response to an adjustment operation for at least one physical parameter of the target component, driving the preview window to display a simulation effect corresponding to the adjustment operation. According to the game component parameter editing method provided by the invention, the checkable preview options are provided in the target setting mode and the independent preview window is displayed, so that a player can intuitively observe the actual performance of the component in the game when adjusting the parameters of the target component, the intuition and efficiency of editing are greatly improved, and the user experience is improved. And the tedious process of repeatedly exiting the setting for testing is avoided.

The application discloses a VVT minimum target phase control method, and steps are as follows: determining a basic VVT minimum phase: by controlling VVT activation and reducing a VVT target phase, comparing a phase initial value and fuel consumption difference when the VVT phase is 0, and determining the basic VVT minimum phase; determining an original VVT minimum phase: correcting the basic VVT minimum phase to obtain the original VVT minimum phase; VVT minimum phase self-learning: sequentially entering a self-learning stabilization stage, a self-learning activation stage, a self-learning updating stage and a self-learning storage stage, storing VVT minimum phase learning coefficients in an EEPROM in each working condition and correcting the VVT minimum phase learning coefficients to obtain a final VVT minimum phase. The application also discloses a VVT minimum target phase control device. The application can be widely applied to the engine control field and avoids power and emission problems caused by too small target setting in the VVT target setting process.

Provided is a waveform display device that can easily designate an analysis target range just by selecting a location to be analyzed with regard to a tool trajectory. This waveform display device comprises: a positional information acquisition unit that acquires, from a control device that controls a machine tool, motor positional information for a drive shaft of the machine tool during workpiece machining; a shaft information setting unit that sets shaft information indicating the shaft configuration of the drive shaft of the machine tool; a tool trajectory display unit that calculates the trajectory of a tool tip point during workpiece machining by a tool mounted on the machine tool on the basis of the motor positional information and the shaft information and displays the trajectory as a waveform; an analysis target setting unit that sets an analysis target position relating to the trajectory of the tool tip point; an analysis target range generation unit that generates and displays an analysis target range containing a solid body including the set analysis target position; and a measurement point sorting unit that sorts out and displays a measurement point included in the analysis target range generated by the analysis target range generation unit from within the trajectory of the tool tip point.

The invention discloses an unmanned aerial vehicle swarm target recognition and positioning method based on artificial intelligence, and relates to the technical field of target recognition and positioning, and the method comprises the steps: carrying out the recognition importance degree evaluation of different objects in a flight region, and obtaining important objects in the flight region; determining a target unmanned aerial vehicle of an important object; the uncertainty of the target unmanned aerial vehicle in the important object recognition process is captured, and the conflict condition of different modal indexes in the target unmanned aerial vehicle in important object recognition is analyzed; acquiring a historical target identification record from the platform, and analyzing the object category of the important object in combination with the modal conflict data to determine the category of the important object; according to the category of the important object and the target setting data, the target in the flight area is obtained, and the unmanned aerial vehicle swarm is used for positioning the target, so that the waste of resources in the unmanned aerial vehicle swarm is reduced, the target identification efficiency and accuracy are greatly improved, and the target can be accurately positioned.

The invention relates to a control method for a personalized air conditioner function, electronic equipment, a medium and a vehicle-mounted air conditioner controller. The control method comprises the steps that an air conditioner switch setting interface for a target space is displayed; the air conditioner switch setting interface displays at least two air conditioner setting controls corresponding to air conditioner control functions and a starting trigger control; in response to target setting operations triggered for all the target setting controls, control parameters of target air conditioner control functions corresponding to all the target setting operations are obtained; the target setting control is an air conditioner setting control in at least two air conditioner setting controls corresponding to the air conditioner control function; and in response to the operation for starting the trigger control, the air conditioner control function corresponding to each target setting operation is controlled to be started facing the target space, and each target air conditioner control function is controlled to run based on the control parameters. By adopting the method, the tedious steps of starting and setting various functions one by one can be avoided, so that the intelligent level of the vehicle and the vehicle use experience of a user are improved.

The invention provides a micro-nano satellite group collaborative omnidirectional group target situation establishment method, which comprises the following steps of: designing micro-nano satellite group roles including sensing satellites, gaming satellites, decision-making satellite quantity and load design; designing initial configurations of a sensing star, a gaming star and a decision star, wherein the sensing star is responsible for global target search, the gaming star is responsible for target confirmation in a suspicious area, and the decision star is responsible for marking the orientation and mark number of the target; the decision-making star implements target distribution; the content of the target situation is preliminarily established, the sensing star gives the initial distance and speed between the game star and the target according to the target mark information and transmits the initial distance and speed to the corresponding game star and the decision star, and the decision star additionally adds the speed and position mark of the target; the target situation is updated, wherein the sensing star guides the decision star to move to the target set distance, the sensing star guides the game star to move to the target set distance, the decision star updates the targets obtained by the sensing star and the game star, and the distance and the speed are additionally marked for each target.

The invention relates to a video processing apparatus and a video processing method. A video processing device is provided with: a scene determination unit that determines a scene of an input image; a similarity determination unit that determines the degree of similarity between frames of the input image using the image features; a setting information generation unit that finds target setting information indicating a setting value for video processing on the basis of the determination result of the scene and the image feature of the frame; a calculation unit that obtains switching speed information indicating a setting value switching speed from a setting value for the video processing of the input image before the switching of the scene to a setting value for the video processing of the input image after the switching of the scene, on the basis of the determination result of the degree of similarity; and a setting information determination unit that determines speed variable setting information for causing a setting value for video processing for the input image to reach a setting value based on the target setting information at a speed based on the switching speed information.

The invention provides a machine room energy-saving control method and device and a storage medium. According to the method, training is carried out based on historical temperature data to obtain a temperature prediction model, the current machine room operation time is input into the temperature prediction model to obtain a target prediction temperature, and then air conditioner control information is obtained through genetic algorithm optimization based on the target prediction temperature and sensor temperature information. Each air conditioner in the machine room environment is controlled according to the air conditioner control information including the target set temperature and the target return air temperature of each air conditioner, and energy-saving adjustment is performed on the machine room environment in time, so that the training time is shortened, the real-time environment change is responded more quickly, the air conditioner setting is adjusted in real time to realize machine room energy saving, and an active optimization mechanism is adopted to improve the training efficiency. The limitation of large local optimization errors is avoided, it is ensured that the system can achieve the optimal efficiency in different situations, the energy utilization rate is improved, then the deployment cost is reduced, and the safety of the data center is improved through safety monitoring and maintenance strategies.

Provided is an apparatus including: a first acquisition unit acquiring an operation plan of a piece of equipment, and at least identification information of a parameter among target setting data used for learning of an operation model operating the piece of equipment, the target setting data including identification information of a parameter for which a target range is to be set among parameters relating to the piece of equipment and a target range set for the parameter; and a first learning processing unit performing, by using learning data including the identification information of the parameter and the operation plan acquired by the first acquisition unit, learning processing of a target setting model outputting at least one of the identification information or the target range of the parameter among the target setting data that should be used for learning of the operation model, in response to the operation plan being input.

The present disclosure provides an interaction method for virtual scene, an electronic device and a storage medium. And the interaction method for virtual scene includes: determining a target sketch in the virtual scene, and the target sketch is obtained based on an operation inputted by a user; determining a target setting item of the virtual scene, and the target setting item is configured to set at least a portion of at least one of visual data or auditory data of the virtual scene; and updating a portion of the virtual scene corresponding to the target setting item according to an object category of an object in the target sketch.

The invention relates to the field of data mining and machine learning, in particular to a variable correlation analysis method based on machine learning prediction precision, which comprises the following steps: acquiring a data set containing a plurality of variables, and performing data preprocessing; variable pairing and target setting; performing association degree quantification based on a machine learning model; constructing a correlation matrix; and outputting the correlation matrix for visualization or downstream analysis tasks. The method has the advantages that a machine learning model is adopted as a core tool for correlation measurement, any complex nonlinear and non-monotonic relation between variables can be effectively captured, and inherent limitations of traditional correlation analysis methods such as a Pearson coefficient, a mutual information method and a maximum mutual information coefficient are broken through; the abstract correlation is defined as specific'prediction precision ', so that the analysis result has clear and intuitive practical significance, and'the prediction precision of predicting the variable B by adopting the variable A is 0.8' is easy to understand by field experts and be applied to actual decision making.

The present application belongs to the field of weapon ammunition measurement technology, and particularly relates to a trajectory indicating device for rapid target distribution. The trajectory indicating device for rapid target distribution comprises a 3-axis adjusting table, a target setting laser, an optical axis laser, a trajectory indicator and a support, and each of the 3-axis adjusting table, the target setting laser, the trajectory indicator and the support is provided with a set corresponding to a sky screen target. The trajectory indicating device establishes a pair of reference plane marks which are accurate and perpendicular to a trajectory ray on site, and provides a reference for the alignment and adjustment of a detection light curtain of the sky screen target. The target distance measured by taking the reference is more accurate, and the light curtain vertical alignment error and the target distance measurement error are controlled within a known range.

The invention relates to the technical field of precision machining, in particular to a vibration-assisted circumferential milling micro-structure controllable machining method which comprises the following steps: target setting: according to actual engineering requirements, setting target geometric characteristic parameters of a to-be-machined inclined groove micro-structure, including groove height Hv, width Wv and inclination angle gamma; reverse solving of process parameters: on the basis of a preset geometry-process mapping model and a constraint space, inputting target geometrical characteristic parameters by utilizing a microstructure morphology parameter reverse solving interface based on MATLAB GU I; designing and implementing a circumferential milling machining experiment of vibration in the vertical feeding direction; and on a vibration-assisted circumferential milling platform, machining is conducted according to the technological parameter combination, and the target-oriented microstructure is obtained. According to the method, automatic and accurate matching from the target morphology to the process parameters is realized by establishing the quantitative mapping relation between the geometrical characteristics of the microstructure and the process parameters and integrating the parameter reverse interface and the surface morphology simulation model based on MATLAB GU I.

The embodiments of this disclosure provide a method, apparatus, device, and storage medium for reducing heat and drag in hypersonic vehicles, including: acquiring target flight state data of the vehicle, wherein the target flight state data includes flight Mach number and angle of attack; acquiring target setting parameters corresponding to the target flight state data of the vehicle, wherein the target setting parameters include shock bar size parameters, reverse jet pressure ratio, lateral jet pressure ratio, and number of lateral jet directions; and adjusting the target setting parameters of the vehicle based on the target flight state data, which can effectively reduce the aerodynamic heat and drag of the vehicle at non-zero angles of attack, improve the aerodynamic performance of the vehicle, and greatly increase its maneuverability.

The application relates to the technical field of personalized education, and discloses a personalized learning monitoring system based on user behavior data, which comprises a data collection module, a learning target setting module, a self-evaluation and feedback module and an emotion monitoring module.The data collection module is used for collecting learning behavior data and physiological data of a target user and integrating interactive log data in a learning platform.The learning target setting module sets a personalized learning target system comprising short-term and long-term targets.The self-evaluation and feedback module guides the target user to regularly perform self-evaluation and helps the target user to understand current learning progress.The emotion monitoring module identifies current emotional fluctuations of the target user.A dynamic task adjustment module dynamically adjusts the difficulty, content and rhythm of learning tasks based on the personalized learning target system, current learning progress and current emotional fluctuations, and generates real-time adaptive learning task flows.The application automatically identifies state changes, pushes matching tasks, and greatly reduces cognitive burden and management cost.

The adjustable blowing surface air pipe and adjusting method comprise a pipe body, a slider shunting module, a target setting valve and a pressurized atomization module; the slider shunting module and the pressurized atomization module are arranged on the pipe body and communicate with the inside of the pipe body; the slider shunting module and the pressurized atomization module are connected on the outside of the pipe body, and the target setting valve is arranged on the pressurized atomization module.

The invention relates to the technical field of bridge crane control, in particular to a deep reinforcement learning-based self-adaptive control method and system for a double-pendulum bridge crane, and the system comprises a model building unit which is used for carrying out the modeling of the friction of a trolley, the damping of a lifting hook and the damping of goods in the movement process of the double-pendulum bridge crane, establishing a mathematical model of the double-pendulum bridge crane; the target setting unit is used for setting target position data of a trolley in the double-pendulum bridge crane and respectively inputting the target position data into the PID controller and the reinforcement learning algorithm; a PID (Proportion Integration Differentiation) controller of the crane driving unit receives the target position data and outputs driving force of a trolley to a mathematical model and a reinforcement learning algorithm of the double-pendulum bridge crane to drive the double-pendulum bridge crane to move; a data optimization unit, an error calculation unit and an error judgment unit; according to the self-adaptive control method, rapid positioning and effective swing prevention can be achieved, and meanwhile the adaptability of the system to parameter perturbation and external disturbance is improved.

The invention provides an information processing method and device in a game, equipment and a storage medium, and the information processing method comprises the steps: responding to a synchronous triggering event, and determining a first game role, a second game role and a target setting item; obtaining a first configuration parameter of the second game role under the target setting item; and updating a second configuration parameter of the first game role under the target setting item to the first configuration parameter. Through the method provided by the invention, a player can realize flexible synchronization of the setting items among different game roles under the same account, and does not need to manually adjust the configuration parameters one by one, so that the repeated operation cost under a multi-role scene is effectively reduced, and the interaction experience is improved; besides, by setting a synchronous multiplexing mechanism of data between roles, independent storage of redundant data is reduced, and the equipment storage space and server resources are effectively saved.

A system and method are provided for automatically controlling operating characteristics for a work vehicle such as a dozer having a controllable blade. User-selectable transitions between manual and automatic control modes are enabled, with control based on a settable target value for an operating characteristic, e.g., blade elevation. During the manual control mode, a magnitude of manual adjustment via a user interface tool corresponds to a velocity of adjustment from a previous setting to a new setting for the target value. During the automatic control mode, a magnitude of manual adjustment via the user interface tool corresponds to an amount of adjustment from the previous setting to the new setting. Also during the automatic control mode, control signals associated with the operating characteristic are continuously generated based on at least the first target value and uninterrupted by any manual adjustments via the user interface tool to the first target value.

To ensure stability of vehicle behavior when the vehicle stops. [Solution] The braking control device 70 includes a target setting unit 115 that executes a stopping target setting process including reducing the target regenerative braking force and increasing the target frictional braking force when stopping the vehicle 10, a correction unit 117 that corrects the target frictional braking force so that the deviation between the target value and the actual value of the deceleration of the vehicle 10 becomes small, and a stop control unit 119 that, when the stopping target setting process is being executed, stops the vehicle 10 by activating the regenerative braking unit 20 based on the target regenerative braking force and activating the frictional braking unit 40 based on the corrected target frictional braking force.