13results about How to "Facilitate cognition" patented technology

The invention provides a traffic flow prediction method based on a dual hypergraph neural network. The method comprises the following steps: preprocessing traffic data collected by a sensor in a traffic road network in a certain time period; forming a data set by the preprocessed traffic data, and dividing the data set into a training set, a test set and a verification set; respectively constructing a traffic flow graph and a dual hypergraph according to the topological graph of the traffic network; constructing a traffic flow prediction model based on the space-time dual hypergraph convolution layer, wherein the traffic flow prediction model comprises an input layer, the space-time dual hypergraph convolution layer and an output layer which are connected in sequence; inputting the preprocessed traffic data in the training set into a traffic flow prediction model for training; testing the trained traffic flow prediction model by using the preprocessed traffic data in the test set to obtain a final traffic flow prediction model; and inputting the traffic data preprocessed in the verification set into the final traffic flow prediction model to obtain the predicted traffic flow. According to the method, multi-source data are fused and external knowledge is utilized, so that the spatial-temporal correlation in the data can be better understood and utilized, and the accuracy of a traffic prediction model is improved.

The invention belongs to the field of helicopter strength design, and relates to a time domain correlation atlas analysis method for bending moments of different cross sections of a helicopter rotor shaft. The method comprises the following steps: extracting actual measurement data of rotor shaft bending moment measurement strain gauges on all cross sections under a specific working condition, and constructing a bending moment data matrix Mm of each cross section according to geometric arrangement of the rotor shaft bending moment measurement strain gauges; wherein each cross section has actually measured data with two orthogonal channels; forming a measuring point horizontal coordinate and a measuring point vertical coordinate of a Cartesian coordinate system by the data at the same moment in the two groups of measured data of the channels in the same direction of the different cross sections, or forming the measuring point horizontal coordinate and the measuring point vertical coordinate of the Cartesian coordinate system by the data at the same moment in the two groups of measured data of the channels in the different directions of the different cross sections; drawing positions of all measuring points on the time domain to obtain a time domain correlation graph; obtaining a helicopter rotor shaft bending moment correct measurement data time domain correlation graph normal form with the same working condition and the same number of rotor support arms; and comparing the time domain correlation graph with the time domain correlation graph normal form.

Provided herein include methods of making mogroside compounds, e.g., siamenoside I 1, compositions (for example host cells) for making the mogroside compounds, and the mogroside compounds made by the methods disclosed herein, and compositions (for example, cell lysates) and recombinant cells comprising the mogroside compounds (e.g., siamenoside I). Also provided herein are novel cucurbitadienol synthases and the use thereof.

The invention relates to the technical field of vehicle calibration electric appliance systems, and particularly discloses a method for importing calibration quantity and observed quantity information through A2L file fusion, which is characterized in that model logic processing, calibration quantity and observed quantity are created and realized through a model building tool Simulink, and the calibration quantity and observed quantity information is perfected. Information in the two A2L files is fused through ASAP2, and scaling quantity and observed quantity address information in the ELF file is generated through a software integration tool and updated to the fused A2L file; compared with a traditional mode of directly compiling the A2L file, the method is faster and more accurate, the requirement for professionals is not high, and the development time is saved. Compared with a mode of extracting the calibration quantity and the observation quantity through an ELF file, the method has the advantages that the remark information of the calibration quantity and the observation quantity is more complete, professionals have better cognition on the calibration quantity and the observation quantity, and the calibration process can be better achieved.

The invention relates to the technical field of cigarette flavor preparation, and discloses a cigarette flavor additive and a preparation method thereof, and the cigarette flavor additive comprises a blueberry extract, a flavor enhancer, nerol, an alcohol flavor, ethyl benzoate, 4-hydroxybenzoic acid and ethanol. According to the invention, the blueberry extract is used as a perfume and the fragrance contained in the blueberry extract reduces the irritation, the blueberry extract is used for perfuming the cigarette, so that the cigarette fragrance can be improved, the effects of smoothing smoke, reducing offensive odor, improving aftertaste and the like are achieved, and the adopted flavor enhancer is thermally cracked in the cigarette burning and smoking process, so that the fragrance of the cigarette is improved. Organic acid components with unique fragrance are released, so that the purpose of effectively enhancing the flavor of cigarettes can be achieved, and the effects of improving the fineness and softness of smoke, increasing the thickness of the smoke and reducing offensive odor and irritation are achieved.

The utility model discloses an optical sensing experiment platform, comprising a support platform, a first magnetic layer arranged above the support platform; each optical module comprises a containing box used for installing optical components, a box cover capable of being opened is arranged above the containing box, a second magnetic layer is arranged at the bottom of the containing box, a plurality of connectors are arranged on the two opposite sides of the containing box, and the parts, located in the containing box, of the connectors are used for being connected with the optical components installed in the containing box; the part, located outside the containing box, of the connector is connected to the other optical module through the connecting pieces. According to the optical sensing experiment platform provided by the utility model, each optical device is independently packaged into a box body, so that an experiment is convenient and fast like building blocks.

The present application relates to the technical field of data quality control, and in particular to a data quality control method, system, device and storage medium. The present application first collects order data and user data from an e-commerce platform, and divides them into multiple data partitions according to preset rules; then, each data partition is evaluated for quality, and the partition with quality problems is determined; for the problem data in the problem partition, the problem data is labeled and its quality problem type is identified, and then a quality control knowledge graph is constructed, which visualizes the entities corresponding to the order data, user data and quality problem types through entity nodes and relationship links, and displays the associations between them; it not only visualizes the data entities and their associations, but also can form accumulative quality control knowledge, which provides knowledge support and decision-making guidance for data quality control, and can better recognize and manage complex data quality issues, thereby improving the intelligence level of data quality control.

The invention provides a vehicle data processing method and device, computing equipment and a vehicle, and the processing method comprises the steps: obtaining vehicle data of vehicles of the same type, the vehicle data comprising first data and second data; performing feature extraction based on the first data to obtain feature information of each vehicle; and calculating statistical information of the target vehicle in the vehicles of the same type based on the second data and the feature information. By comparing the vehicle data of the target vehicle with the vehicle data of other vehicles of the same type, the position of the target vehicle in the vehicle group of the same type is obtained, the sense of participation and the sense of belonging of a driver are improved, the cognition of the driver on the vehicle performance is improved, and thus the vehicle use experience is improved.

This invention discloses an AI-based method for identifying and personally recommending children's reading interests, specifically relating to the fields of data processing and intelligent recommendation technology. The method includes: collecting multimodal data from children's reading and performing spatiotemporal alignment preprocessing; using a deep learning model to perform multimodal fusion identification of emotional pleasure, focus index, and interest focus; constructing a knowledge graph of reading materials and a graph of children's developmental stages; performing similarity retrieval based on interest focus; calculating the "zone of proximal development deviation value" to filter a preliminary recommendation list; using interactive trial reading verification; and generating a final personalized recommendation list. This invention accurately captures children's latent interests through multimodal emotion computing, combines dual knowledge graphs to match cognitive development stages, and forms a closed loop through interactive verification. It solves the technical problem that traditional recommendation methods are unable to adapt to the dynamic reading needs of young children, significantly improving the accuracy and personalization of recommendations.

The invention relates to the field of rehabilitation training, in particular to a cognitive impairment rehabilitation training prompting instrument. The invention provides a cognitive impairment rehabilitation training prompting instrument which can fully and effectively enhance the memory of a patient and improve the cognition of the patient. A cognitive impairment rehabilitation training prompting instrument comprises a base, a shell and the like. A shell is placed on the base. During training, a patient closes eyes, when a nurse shouts out numbers, the patient puts hands into the shell, when the number shouts out by the nurse is counted, one spherical handle is pressed down, so that one character block moves downwards, and the nurse can see whether the number on the character block is correct or not through the groove in the shell; a patient carefully listens to digits shouted by nursing personnel to improve concentration, and then finds the corresponding spherical handle according to the shouted digits, so that the thinking power of the patient is exercised, and the effects of enhancing memory and improving whole cognition are fully and effectively achieved.

This utility model relates to the technical field of hydraulic training equipment, specifically a teaching hydraulic directional valve base plate, including a base plate body. The base plate body has external connection holes A, B, T, and P located near the upper left, upper right, lower left, and lower right corners, respectively. The advantages are: it facilitates user connection of oil ports, making identification more intuitive, and provides clear anti-misconnection protection, preventing incorrect connection when using oil ports; it avoids the use of thread-locking adhesive during sealing, reducing hydraulic oil circuit contamination, and allows for quick and easy elastic locking of the outer end of the plug-in sealing plug, facilitating later disassembly, maintenance, and replacement; the nylon protruding set screws allow for easy fixing of the hydraulic directional valve base plate to the teaching equipment mounting plate, preventing movement of the hydraulic directional valve base plate during experiments; and the directional valve name label facilitates user identification of the component.

The invention belongs to the technical field of automobile motor disassembly and assembly practical training tables, and particularly discloses a multifunctional new energy automobile motor disassembly and assembly practical training table based on the Internet of Things. A motor axis limiting assembly and a motor shell limiting assembly; the motor axis limiting assembly limits and fixes the axis of the motor, and the motor axis limiting assembly can carry out any height adjustment and any angle adjustment, and can carry out multi-angle and position display after the motor is fixed, so that practical training students can know the structure of the motor more easily. The number of the motor shell limiting assemblies is two, the two motor shell limiting assemblies are located on the two sides of the motor shell, the left shell and the right shell of the motor are supported through the motor shell limiting assemblies, so that the new energy automobile motor is more convenient to assemble and disassemble, all parts are separately fixed, and display of all the parts is more facilitated; therefore, students can conveniently observe and understand the working principle and the structure distribution of the motor.

The invention provides a teaching behavior analysis method and device, equipment and a storage medium, relates to the technical field of audio and video processing, and solves the problems that classroom teaching contents and teaching behaviors are difficult to associate in analysis of teaching audios and videos, and analysis of teaching quality is not reasonable enough. According to the scheme, corresponding knowledge point information, teaching behaviors of teachers and learning behaviors of students can be determined according to analysis results of visual analysis and semantic analysis of teaching audios and videos, classroom teaching contents and teaching behaviors are better associated, and cognition of a user on a teaching effect and improvement of teaching quality are facilitated.