40 results about "Response ability" patented technology

The invention relates to the technical field of man-machine cooperation, and aims to solve the problems that the traditional man-machine cooperation process mainly depends on a preset flow and timing rhythm control, and is difficult to dynamically capture personnel misoperation, machine response delay or cooperation rhythm imbalance, so that response strategy lagging and low regulation and control efficiency are caused in the face of complex and variable man-machine interaction situations. According to the enterprise intelligent man-machine cooperation method and system, through comprehensive analysis with behavior response offset, cooperation rhythm consistency and a personnel fatigue state as core indexes, a set of intelligent man-machine cooperation process which is distinct in hierarchy, logic closed-loop and sustainable iterative optimization is constructed; the real-time response capability of man-machine cooperation and the production takt time stability are improved, the cooperation efficiency fluctuation can be dynamically monitored, the precise regulation and control strategy is output in time, quantitative evaluation and actual improvement of man-machine cooperation efficiency are achieved, and efficient production of a production line and the quality level of products are guaranteed.

The invention relates to the technical field of simulation training, in particular to an adversarial design training method, which comprises the following steps: monitoring a training state to obtain time series data, inputting the time series data into a hidden Markov generation behavior sequence, detecting a coordinate deviation angle deviation consumption ratio to identify a weak link, and calling an identification table matching factor library to generate an interference scheme. And according to a coefficient threshold value, controlling activation opportunity particle swarm optimization to generate a dynamic sequence, and according to a frequency coefficient injection adjustment rhythm, monitoring a response delay switching parameter group to generate an evaluation result. A weak point identification link is calculated in combination with coordinate offset track angle difference and resource consumption rate, hierarchical selection is realized according to risk distinguishing parameter combination in an interference link, and dynamic adjustment is performed according to period matching and combination with an optimization algorithm in triggering, so that disturbance intensity triggering rhythm adaptability is continuously optimized, and pressure bearing performance and flexible response capability are improved.

The invention discloses a self-adaptive task scheduling method and device, equipment, a medium and a computer program product, and the method comprises the steps: in response to a task arrival instruction, calculating the initial task flow velocity of each priority according to the priority of a task and a damping coefficient corresponding to the priority; wherein the damping coefficient is used for controlling the task flow rate; executing tasks of each priority based on the initial task flow rate, and generating task execution data; determining the number of unprocessed tasks of each priority according to the task execution data; and in response to the fact that the number of the unprocessed tasks of any priority exceeds a preset damping breakdown threshold, adjusting the task flow rate of each priority. The concept of damping breakdown is introduced, and the task flow rate of each priority can be automatically adjusted under the condition that the system faces high load or resource shortage, so that the stability and response capability of the system are maintained; and meanwhile, the complexity of scheduling decision is reduced, and the implementation difficulty is reduced.

The invention relates to the technical field of automobile driver data monitoring, and provides a test method and system based on the response capability of a driver to identify an intelligent driving cabin icon, and the method comprises the steps: collecting the feature attributes of the intelligent driving cabin icon of a tested vehicle, and combining a plurality of intelligent driving cabin icons into a target template according to each display position and change time; a road side test is carried out, a target image of the display area of the intelligent driving cabin icon is collected in real time through a first visual sensor, whether the target image is matched with the intelligent driving cabin icon in the target template or not is judged, and if yes, the response capacity of a driver to the intelligent driving cabin icon is collected; otherwise, continuing to collect the target image. According to the invention, the reaction capability of the driver to the intelligent driving cabin icon can be accurately and rapidly obtained under the road test condition.

The application relates to the technical field of machine-assisted screening, and discloses an automatic screening method, system, terminal and medium for the response ability of an autistic child based on relative semantic action segmentation, the automatic screening method for the response ability of the autistic child based on the relative semantic action segmentation comprising the following steps: acquiring video information of a doctor and a child interaction process; extracting a skeleton action sequence of the doctor from the video information; segmenting the skeleton action sequence to obtain a time window in which the doctor issues an instruction; obtaining behavior mode information of the child according to the time window; and evaluating the response ability of the child to non-verbal instructions according to the behavior mode information to obtain screening evaluation information. The application can realize automatic and objective screening of the response ability of an autistic child to non-verbal instructions, realize the automation and integration of the screening process, reduce the labor input, improve the screening efficiency, and improve the accuracy and breadth of the screening.

To provide a processing method for contributing to improvement in responsiveness of an other-road user.SOLUTION: A processing method, which is implemented with a processor to perform processing related to driving of a host moving object with a driving system, includes: determining driving recovery from an emergency operation of the host moving object when the emergency operation is performed by the driving system; and notifying an outside of the host moving object about the driving recovery.SELECTED DRAWING: Figure 4

The application discloses a kind of energy storage participates in demand response method, device and medium. By obtaining the power consumption change value of user participation demand response and the peak clipping response load and valley filling response load corresponding to the user;According to the power consumption change value, the peak clipping response load and the valley filling response load determine the response mode of the energy storage participation demand response;Wherein, the response mode includes recovery state of charge, according to maximum discharge power and recovery state of charge demand participates in peak clipping response, according to maximum charging power and recovery state of charge demand participates in valley filling response, according to maximum discharge power participates in peak clipping response and according to maximum charging power participates in peak clipping response.The technical scheme of the embodiment of the present application can determine different response modes of energy storage participation demand according to the power consumption change value of user, peak clipping response load and valley filling response load, improve response flexibility and response ability.

Portable defibrillator (31; 41; 51; 61; 71) comprising: at least one treatment electrode (5); at least one sensor (4); at least one controller (2) connected to the at least one treatment electrode (5) and the at least one sensor (4); at least one response mechanism (6) wirelessly connected to the at least one controller (2), and wherein the at least one response mechanism (6) is activated by a patient (1) who uses the portable defibrillator (31; 41; 51; 61;71) is operable, characterized in that the at least one control (2) is configured: - in response to the detection of a patient condition requiring treatment via the at least one sensor (4), to provide a prompt issued by the portable defibrillator to the patient to elicit a response; - in response to the detection that the at least one response mechanism has not been activated, to provide treatment to the patient via the at least one treatment electrode; - in response to the detection that the patient has activated the at least one response mechanism, to prevent treatment of the patient via the at least one treatment electrode; and - to verify that it is the patient (1) who is wearing the portable defibrillator (31; 41; 51; 61;71) was, who activated the at least one response mechanism (6) by the at least one control (2) being designed to receive an input signal from the patient's body during activation of the at least one response mechanism, and to confirm, at least partially on the basis of the received input signal, that the patient (1), who is wearing the portable defibrillator (31; 41; 51; 61; 71), has activated the at least one response mechanism (6).

The invention relates to the technical field of vehicle vibration control, in particular to a suspension control method, a storage medium and electronic device.The method comprises the steps that firstly, a basic TD3 framework is built, the current state of a suspension serves as input, the active control action of the suspension serves as output, the basic TD3 framework is pre-trained, and in the pre-training process, the conflict state is determined; the method comprises the following steps: introducing an adversarial network into a basic TD3 architecture, namely, adding an Actor-Aaginst network and a Crimic-Aaginst network on the structure of the basic TD3 architecture to obtain an adversariation-TD3 architecture; and finally, training the adversariation-TD3 architecture by using the conflict state to obtain a control model for controlling the suspension. According to the method, the antagonism correction of the action space is realized in a dual-network collaborative optimization form, the complexity of reward function design is reduced, and the convergence speed and the training efficiency of the network are greatly improved, so that the target preference problem in the suspension control system is effectively solved, and the response capability and the stability of the system are remarkably improved.

The present invention discloses a method and system for optimizing commodity search based on historical behavior data, which relates to the technical field of optimizing commodity search, and specifically includes the following steps: According to the division results of each source path, a path signal dynamic adjustment mechanism is constructed for separately adjusting different sorting weights for the source paths of the dominant path, the dispersed path, and the mixed path; during the process of the path signal dynamic adjustment mechanism adjusting each source path, the path dynamic feedback information of each source path is obtained in real time, and after obtaining it, an analysis is carried out to evaluate whether the adjustment effect of the path signal dynamic adjustment mechanism on each source path can reach the expectation, and the path signal dynamic adjustment mechanism is optimized according to the evaluation result. The present invention solves the problem of misjudgment of multi-path repeated click signals, realizes the dynamic balance of recommendation accuracy and diversity, and improves the response ability and user satisfaction of the recommendation system.

The present invention relates to the technical field of human factors engineering and intelligent evaluation, and specifically provides a method and system for processing evaluation data of interruption response capabilities. The method includes constructing an experimental process scheduling structure that includes a primary task and an interruption task, collecting and constructing a complete behavior data stream, extracting time features during task switching and recovery, performing standardization and perturbation annotation, conducting factor analysis in combination with task labels, and generating a set of ability factor parameters. Subsequently, a scoring template is matched to calculate the individual interruption response ability score, a grade label is generated based on the score, and task ability adaptation and recommendation are completed. This method realizes the structuring, quantification, and closed-loop feedback of ability evaluation, and improves the evaluation accuracy and the intelligent level of task matching.

The present application relates to the technical field of simulation training, in particular to a kind of countermeasure design training method, comprising the following steps: monitoring training state obtains time series data input hidden Markov generates behavior sequence, detects coordinate offset angle deviation consumption ratio identifies weak link, calls identification table and matches factor library to generate interference scheme, according to coefficient threshold control activation timing particle swarm optimization generates dynamic sequence, according to frequency coefficient injection adjustment rhythm monitors response delay switching parameter group generates evaluation result, in the present application, behavior sequence dynamic tracking task performance is generated by collecting training state, weak link is calculated and identified in combination with coordinate offset trajectory angle difference and resource consumption rate, hierarchical selection is realized in interference link according to risk parameter combination, in triggering, periodically match and combine optimization algorithm dynamic adjustment, so that disturbance intensity trigger rhythm adaptive continuous optimization, improve pressure performance and flexible response ability.

The invention discloses a response capability detection method and system based on online action detection, a terminal and a storage medium, and the method comprises the steps: obtaining an action video training set, and carrying out the model training according to the action video training set, and obtaining an online action detection model; obtaining action video stream data of a target user, inputting the action video stream data into the online action detection model, outputting a target action category, and calculating an occurrence proportion of each action of the target action category in a preset time period to obtain a calculation result; and screening out an action occurrence proportion corresponding to the target action of the target user, and if the occurrence proportion is greater than or equal to a preset proportion, determining that the target user responds successfully. According to the method, real-time identification is carried out through an online action detection algorithm, meanwhile, modal data are fused, the robustness and accuracy of action identification are enhanced, misjudgment or delay possibly caused by a single modal is reduced, and the stability and reliability of the whole detection process are improved through a sliding window mechanism of a time dimension.

The invention provides a single-item training method and device for a question and answer model, equipment and a medium. Comprising the steps that a single function model and a first number of corresponding question statements are determined, and the single function model is a single function category in an initial question and answer model; inputting the first number of question statements into a single function model to obtain a single model result, and inputting the first number of question statements into an initial question and answer model to obtain a question and answer model result; comparing the single model result with the question and answer model result, and adjusting the number of question statements according to the comparison result to obtain a second number of question statements; inputting the second number of question statements into the single function model to obtain a target single model result; according to the second number of question statements and the target single model result, training the initial question and answer model to obtain a target question and answer model; therefore, the single reply ability of the question and answer model is enhanced, and the coverage of question processing of the question and answer model is effectively expanded, so that the use satisfaction of the user is improved.

The invention relates to the technical field of artificial intelligence and man-machine interaction training, in particular to a method and system for constructing a cognitive training configuration scheme. The method comprises the steps of completing cognitive state initialization and constructing a task feature model based on initial behavior data, historical task performance and interaction preference parameters of a pilot; based on the cognitive state and the task feature model, constructing a guide process and generating a man-machine interaction behavior sequence; operation strategies and intervention behaviors in the task process are collected, and a training process set is constructed; generating a strategy evolution trajectory according to the strategy distribution of the training process set and the failure label; then path analysis and behavior attribution are carried out, a meta-cognitive behavior characteristic index set is extracted, task configuration and interaction nodes are optimized in combination with the results, and a cognitive training configuration scheme is generated. According to the method, the change process of the cognitive state of the pilot can be dynamically captured, a task adaptation mechanism driven by cognition is constructed, and the element cognitive ability of the pilot and the task strain ability under the complex situation are improved.

The present invention provides an intelligent distribution load forecasting and adaptive scheduling method, aiming to improve the response ability and operation efficiency of the distribution system to load fluctuations. The method collects historical load data, real-time meteorological information and user electricity consumption behavior data of the target distribution area, establishes a multi-dimensional input data set, constructs a short-term load forecasting model based on this data set, and realizes the forecasting of future load levels of multiple feeders and key nodes. According to the forecasting results, potential voltage deviation, load imbalance and equipment overload risks are identified, and then combined with the power grid topology structure and operation constraints, a rolling horizon optimization method is used to generate a dynamic scheduling control strategy. The strategy includes control measures such as transformer tap position adjustment and capacitor bank switching. By sending the scheduling strategy to the device control unit, active adjustment is completed before the load changes, realizing voltage stability, load balance and energy optimization, and providing intelligent and adaptive operation guarantee for the distribution system.

The invention relates to the technical field of intelligent recommendation systems and deep learning, and discloses an intelligent question recommendation system based on a large model, which comprises a data collection module, a data processing module, a model training module, a recommendation generation module and a user feedback module. By integrating various data sources and recommendation algorithms, the accuracy and coverage of recommendation are improved, the problems of cold start and data sparsity are reduced, potential preferences of the user are captured through the deep learning technology, the response ability of the recommendation system to user behavior changes is enhanced, personalized recommendation is achieved, diversified requirements of the user are met, and the user experience is improved. The satisfaction degree of the user is improved through dynamic adjustment, the system design has good expansibility and can adapt to different application scenes, and diversified recommendation strategies are achieved.

The present invention discloses a cable joint fire alarm system and method based on an enclosed space, and relates to the technical field of cable fire monitoring. The system optimizes the detector according to the accuracy, stability and response ability of the detector under the environmental type of the enclosed space, and then performs early fire monitoring and prevention on all cable joints in the enclosed space. The enclosed space is partitioned and optimized according to the fire alarm situation in the enclosed space, thereby realizing intelligent and automated monitoring and management of cable joints in the enclosed space, ensuring the effect of cable joint monitoring and the accuracy and timeliness of fire alarms, reducing fire losses in the enclosed space, and optimizing the enclosed space at the same time. It can reduce the impact of high-risk equipment on low-risk equipment in enclosed spaces with poor heat dissipation conditions, reduce equipment loss and replacement frequency, and reduce the cost of electrical operation and maintenance in the enclosed space.

The invention specifically relates to an intelligent medical hospital guide customer service method and system fusing data acquisition and Agent technology, and relates to the technical field of artificial intelligence and medical information services, and the method comprises the steps: carrying out the noise reduction of voice input, extracting acoustic features, converting the acoustic features into characters, carrying out the error correction of a character request through a pre-training language model, and carrying out the recognition of the voice input; meanwhile, the reaction degree, the energy degree and the pause degree of the voice are calculated to obtain an emotion evaluation coefficient. According to the method, multiple rounds of dialogue management and context modeling enable the system to understand complex user intention changes and keep dialogue continuity, the problem of understanding fault caused by the fact that a traditional hospital guide system is only based on single round of questions and answers is avoided, and the intelligent response ability and interaction experience of overall hospital guide are greatly improved; input information is optimized through the intention recognition Agent and the cue word engineering module, the system can more accurately extract key medical entities and potential intentions in user consultation, and the conditions of misrecognition and missed recognition are reduced.

1. Name of the product in this design: Reaction Training Ball. 2. Purpose of this design: A training ball for sports activities to improve brain reaction ability. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The utility model relates to the technical field of rehabilitation training, and discloses a two-hand coordination exerciser which comprises a base, the left side and the right side of the upper portion of the base are each rotationally connected with a first rotating shaft, the two first rotating shafts are each fixedly connected with a first pulley, and the upper ends of the first rotating shafts are fixedly connected with a hand-cranking disc. An upper cover is fixedly connected to the upper side of the base, a moving assembly is arranged in the center of the top of the base and comprises four fixing frames, and the bottoms of the four fixing frames are fixedly connected to the base and distributed in a square shape. According to the utility model, a user respectively controls the up-down and left-right movement of the sliding magnet through the hand-cranking disc, so that the sliding magnet moves along a light path. A plurality of light appearing modes include single lighting or simultaneous lighting of patterns formed by a plurality of lamps, so that the coordination of both hands of the user can be trained, and the response ability and continuous attention of the user can be trained.

The present invention relates to the technical field of vehicle vibration control, and in particular to a suspension control method, a storage medium and an electronic device. The method includes: First, build a basic TD3 architecture, use the current state of the suspension as the input, and the active control action of the suspension as the output, pre-train the basic TD3 architecture, and during the pre-training process, determine the conflict state; introduce an adversarial network into the basic TD3 architecture, that is, add an Actor-against network and a Critic-against network to the structure of the basic TD3 architecture to obtain an adversarial-TD3 architecture; Finally, use the conflict state to train the adversarial-TD3 architecture to obtain a control model for controlling the suspension. The present invention realizes the adversarial correction of the action space in the form of dual-network collaborative optimization, which not only reduces the complexity of the reward function design, but also greatly improves the convergence speed and training efficiency of the network, thus effectively solving the target preference problem in the suspension control system and significantly improving the response ability and stability of the system.

The present application relates to the technical field of remote management, in particular to a medical SPD intelligent cabinet remote management method and system, comprising the following steps: based on intelligent cabinet operation data, screening abnormal points, extracting deviation amplitude, searching inventory trend, screening boundary point set, judging flow trend, positioning dispatch axis sequence, marking key monitoring position, collecting response time delay, judging interference matching, and generating automatic material dispatch response unit. In the present application, by joint comparison of switching frequency, temperature and humidity fluctuation and inventory change rate, state abnormal points and inventory boundary characteristics are extracted, the material flow center is accurately identified, the flow inflection point is actively identified and predicted, and by means of the linkage judgment of response time delay and operation displacement, the path interference is dynamically identified and the response path is automatically bound, the dynamic perception, path adaptation and remote response efficiency in the dispatch process are improved, the determination accuracy and intelligent response ability of the intelligent cabinet to the abnormality are enhanced, and the effectiveness of the material monitoring and remote management is improved.

The application discloses a reaction ability evaluation method, a head-mounted device and a computer readable storage medium, relates to the technical field of head-mounted devices, and the method is applied to the head-mounted device, and comprises the following steps: outputting prompt information corresponding to at least one reaction test action through a prompt output module, and determining a prompt output time; detecting a bioelectric signal change caused by a wearer performing the reaction test action in a target body surface area through a bioelectric signal detection module, and determining a signal change time; determining an action completion time through a reaction test action detection module; evaluating the cognitive reaction ability of the wearer based on the prompt output time and the signal change time, and obtaining a cognitive reaction ability evaluation result of the wearer; and evaluating the execution reaction ability of the wearer based on the signal change time and the action completion time, and obtaining an execution reaction ability evaluation result of the wearer. The application can realize fine and layered evaluation of the reaction ability.

The present invention discloses a multi-sensor obstacle presence probability fusion method and a vehicle. The fusion module receives the obstacle detection results sent by multiple upstream sensors after detection, performs matching and association, and then updates the tracking of the obstacle presence probability based on a probability model. The false alarm rate and missed detection rate of the preset sensors are considered, and the sensor characteristics, environmental factors, obstacle status, and distance are comprehensively considered to improve the vehicle's obstacle detection and tracking performance in dynamic scenarios, enhance the robustness and adaptability, and improve the real-time performance and response ability of the ego-vehicle system.

The present invention discloses a charging and discharging scheduling method that takes both supply and demand sides into account. The method steps are as follows: first, the travel characteristics of electric vehicle users are sampled according to the probability density function, the cluster agent obtains the basic information of the power grid and refreshes the information of vehicles connected to the network, and the feasibility of scheduling is judged according to the user's vehicle demand. Then, a charging and discharging priority list is formulated based on the three aspects of reliability, responsiveness and response willingness. Then, the needs of both the supply and demand sides are comprehensively considered, and the battery charging loss factor is taken into account. A two-stage multi-objective optimization model is established with the goals of minimizing the user cost of electric vehicles and minimizing the peak-to-valley difference, so as to obtain the optimization strategy and feedback it to the charging device for execution and update. The present invention fully respects the user's scheduling ability and willingness, arranges the charging and discharging priorities of the dispatchable vehicles, ensures the stability of vehicle charging and discharging, and takes into account the interests of the power grid side and the user side, and has strong practical significance.

The invention relates to the technical field of intelligent terminals, in particular to an active linkage intervention method and system for extreme dangerous equipment and a medium, and the method comprises the steps: collecting a first type of data of the state of a user and a second type of data of the state of an environment where the user is located; according to the first type of data and the second type of data, carrying out primary prediction to obtain a risk level and a response capability index of the user; joint judgment is carried out based on the primarily predicted risk level and the response capability index, and if a judgment result meets an active intervention condition, active intervention is executed through the intelligent terminal; after intervention, the first type of data and the second type of data are collected again, and updated risk levels and response capability indexes are obtained through prediction; and if the updated risk level is not less than a first preset risk threshold value or the updated reaction capability index is not greater than a first preset capability threshold value, triggering an alarm through the intelligent terminal. According to the method, the reliability, the timeliness and the depth of safety guarantee in an extremely dangerous operation environment are remarkably improved.

The utility model relates to the technical field of writing tools, in particular to a notebook for practicing reaction ability. The notebook for practicing the reaction ability solves the technical problems that in the prior art, a notebook is single in function, and the reaction ability of students cannot be exercised. A notebook for practicing reaction ability comprises a writing book. The sliding ball and the blocking columns are arranged, the channels are formed between the blocking columns, the sliding ball moves along the channels under the action of gravity, the blocking columns are distributed between the first end and the second end, the sliding path of the sliding ball is not determined, and the sliding ball can move to the first end from the second end through any channel; that is, when the sliding ball enters the first end from the second end, the position of the sliding ball is not determined, and the user slides the receiver to enable the sliding ball to be in contact with the receiver. Due to the fact that the position of the sliding ball entering the first end is uncertain, a user needs to move the receiver to a correct position in a short time when operating the receiver, and the reaction capacity of students can be exercised.

The application discloses a collimating driving joint and a transmission transparency design method thereof, and belongs to the field of robot joint design. The method comprises the following steps: based on a transmission transparency evaluation system comprising quick response ability and torque sensing ability, key parameters of a reducer and a motor which need to be cooperatively optimized are determined; and in order to simultaneously improve the two abilities, the key parameters are subjected to correlation matching and synchronous optimization design. The application firstly establishes a systematic transmission transparency design method, and through parameter cooperative optimization, the interactive safety and response performance of the joint are significantly improved.