12results about How to "Improve behavior" patented technology

The invention relates to the technical field of brain-computer interfaces, and discloses a multi-interface fusion dynamic brain-computer interaction method based on frequency phase information multiplexing and a terminal. Based on an offline electroencephalogram experiment of a user, the most brain electrical stimulation classification number U of the user for achieving the optimal electroencephalogram stimulation classification effect, frequency-phase information of the brain electrical stimulation of the U classification and a first corresponding relation between the brain electrical stimulation of the U classification and electroencephalogram signal characteristics are obtained, and an interactive interface after multi-interface fusion is dynamically partitioned; the method comprises the following steps: acquiring Z sub-regions and brain control instructions included in each sub-region, distributing frequency-phase information of U-class brain electrical stimulation to each brain control instruction, acquiring brain electrical stimulation classification based on a first corresponding relation on the basis of brain electrical signal characteristics induced by a flicker rule of brain electrical stimulation corresponding to a certain brain control instruction when a user watches the brain control instruction, and determining a sub-region based on the user sight drop point coordinate, and outputting a brain control instruction in combination with the brain electrical stimulation classification and the determined sub-region. According to the invention, the brain-computer interaction work efficiency can be improved.

The invention provides an intelligent chain saw equipment operation remote monitoring and early warning method combined with the Internet of Things, and relates to the technical field of intelligent monitoring, and the method comprises the steps: connecting a first Internet of Things monitoring assembly to receive a recoil monitoring data set; the acceleration monitoring data, the vibration monitoring data, the torque monitoring data and the angle monitoring data are sent to a remote monitoring center for recoil risk identification, and recoil risk indexes are output; when the recoil risk index is larger than a preset recoil risk threshold value, a recoil risk early warning signal is sent out; activating a second Internet of Things monitoring assembly to collect grip strength data of an operator of the chain saw equipment; minimizing a recoil risk index based on real-time grip strength monitoring data; and the grip optimization parameters are sent to an operator through the remote monitoring center for recoil correction reminding. According to the method and the device, the technical problem that the recoil risk of the chain saw equipment cannot be accurately identified and analyzed in the prior art can be solved, and the technical effects of comprehensively identifying the recoil risk and accurately warning are achieved.

The invention discloses a preparation method of a traditional Chinese medicine for treating autism, and relates to the field of traditional Chinese medicines. The traditional Chinese medicine is prepared from the following components in parts by mass: 300 to 500 parts of dried radix rehmanniae, 100 to 300 parts of fructus rubi, 100 to 200 parts of poria cocos, 200 to 300 parts of fructus corni, 100 to 300 parts of rhizoma alismatis, 100 to 200 parts of cortex moutan, 100 to 200 parts of radix aconiti lateralis praeparata, 50 to 150 parts of radix morindae officinalis and 100 to 200 parts of cortex cinnamomi. According to a use method of the traditional Chinese medicine for treating the autism, the traditional Chinese medicine is taken three times a day for a child, 10 pills are taken each time, 2 g of ground cinnamon is matched, and the traditional Chinese medicine is taken with light salt brine. The traditional Chinese medicine composition can effectively relieve the nerve inhibition effect of autism patients, and can effectively improve the core symptoms and behavior problems of autism.

The present invention discloses a remote human-machine co-driving system, method and device, and relates to the field of human-machine co-driving technology. The remote human-machine co-driving method obtains the current two-dimensional position coordinates of the vehicle to be controlled on the road and the image data of the road, and performs identification and analysis to obtain the real-time vehicle distance value between the vehicle to be controlled and each fellow vehicle on the road, and performs judgment and analysis with the preset vehicle distance warning, and takes corresponding control measures based on the judgment and analysis. The present invention analyzes the distance between the vehicle to be controlled and each fellow vehicle in real time, and judges whether there is a potential driving risk according to the preset safety distance range. If a fellow vehicle enters the safety range, it will automatically identify and adjust the control strategy to avoid accidents. In addition, the safety of the vehicle and the distance warning vehicle can be evaluated in real time through the calculation of the driving safety index, thereby ensuring that the vehicle is always in a safe driving state.

A burner (1) for a reforming reactor comprising an oxidant tube (4) coaxially arranged within an annular process gas channel (5) wherein a nozzle (10) has a trumpet-shaped shape and a lip (16) of the nozzle has a waveform or sinusoidal profile.

The invention provides an equipment energy-saving method in a satellite communication scene and a satellite base station. In a satellite communication scene, a satellite base station discontinuously provides a network service, and the satellite base station sends auxiliary information to UE in a first time period when the network service is currently provided, so as to optimize the behavior of the UE in a second time period when the next satellite base station provides the network service; specifically, the auxiliary information comprises first information indicating whether the system information of the satellite base station in the second time period changes relative to the first time period, and / or second information indicating whether the UE performs TA updating in the second time period, therefore, the UE does not perform analysis operation on the first message containing the system information of the second time period in the second time period under the condition that the system information of the satellite base station is not changed, and does not perform TA updating in the second time period under the condition that the satellite base station indicates that TA updating does not need to be performed in the second time period. Therefore, the power consumption of the UE in the second time period is reduced.

The invention relates to a novel application of an aminoalkyl amide derivative. Specifically, the invention relates to the use of an aminoalkylamide derivative of general formula (I) or a dermatologically acceptable salt thereof for the treatment of skin pigmentation disorders characterized by the local accumulation of at least two different types of endogenous pigments responsible for the natural color of the skin, the skin pigmented condition is selected from rosacea and / or contusion / ecchymosis (and other subcutaneous hematoma).

The invention discloses a human mesenchymal stem cell exosome preparation loaded with astaxanthin and application of the human mesenchymal stem cell exosome preparation, and relates to the technical field of biological preparations. The preparation is prepared by performing in-vitro amplification on human mesenchymal stem cells, extracting secreted exosomes, then mixing the exosomes with an RVG modification enhancing preparation and loading an astaxanthin medicine. The human mesenchymal stem cell exosome preparation loaded with astaxanthin is obtained, and the therapeutic effect and safety of the human mesenchymal stem cell exosome preparation in cell models and animal experiments are studied. The invention provides a new thought and method for clinical treatment of Parkinson's disease, and has certain innovativeness and application value.

The present invention discloses an adaptive pruning intelligent networked vehicle trajectory control method and system, wherein the method comprises: step S10, using a Monte Carlo tree search algorithm to generate an optimized trajectory plan for a target intelligent networked vehicle; step S20, pruning the action space of the trajectory plan, reducing the decision space by eliminating unsafe or unfeasible actions; step S30, according to the trajectory plan of the target intelligent networked vehicle, proposing optimal speed and lane change suggestions based on the current traffic conditions to other intelligent networked vehicles around it, and step S40, combining a low-level motion controller based on model predictive control to ensure that the intelligent networked vehicle drives smoothly in the action space generated by the trajectory plan. When the method is used, it overcomes the problem that the prior art usually focuses on vehicle following or collision avoidance behavior, and the control strategies between intelligent networked vehicles are mostly considered separately, lacking a systematic solution.

The present invention relates to the technical field of digital human calibration data processing, and specifically discloses a method and system for calibrating an ergonomic digital human based on a digital standard human. The method can make the appearance and movements of the ergonomic digital human more realistic by acquiring and analyzing the appearance data and movement data of the ergonomic digital human. Acquiring and analyzing the expression data and sound data can make the expression and sound of the digital human closer to reality and accurately express various emotional states, thereby enhancing the emotional communication and interaction capabilities with users. Acquiring and analyzing the interaction data can improve the interaction accuracy and response speed of the ergonomic digital human. At the same time, the ergonomic calibration of the ergonomic digital human is optimized, so as to ensure that when the ergonomic digital human performs interactive operations, the movement accuracy of the ergonomic digital human is improved and the error rate of the interactive operations is reduced, so that the digital human improves the user's experience satisfaction in different interactive scenarios.

This application discloses a slice access optimization method and related products. After obtaining slice access policy information, a first network device sends the information to a terminal, which then accesses the network slice according to the policy. This allows the network to indicate the slice access policy to the user equipment, optimizing user equipment behavior and mitigating the impact of insufficient network slice resources on the user equipment.

The present invention relates to a ship agent intelligent control method and device based on reinforcement learning, including the following: S1, initializing the ship agent; S2, obtaining the current state of the ship agent, the current state including the ship agent at the current heading angle #imgabs0# speed v and geographical location; S3, combining the current state and the reward function, selecting the corresponding rudder angle in the action space through the strategy, and taking actions to update the current state; S4, based on the updated current state, calculating the reward value through the reward function; S5, updating the value of Q-table (s, a) based on the updated current state and the calculated reward value; S6, judging whether the preset termination condition is met, if so, outputting the final reward function and strategy, i.e. the updated Q-table, otherwise returning to S2. The present invention improves the problem of the traditional ship channel reinforcement learning that tends to select a large rudder angle in extreme environments, and can better control the ship agent.