13results about How to "Improve cognitive ability" patented technology

The invention discloses a text-guided image editing method and device, a medium and equipment, and relates to the technical field of image editing. Aiming at the limitation of an existing method in understanding an editing instruction, global vision and local entity depth perception are firstly carried out on an original image, and the original image is converted into priori knowledge in a natural language form, so that the knowledge of non-explicit modeling of a diffusion model in image editing is made up, the cognitive ability of an image editing scene is improved, and the image editing efficiency is improved. Therefore, priori knowledge is combined with the editing instruction, multi-angle deep editing reasoning is performed on the incomplete or fuzzy editing instruction, a clearer editing scheme with constraint is generated, the interpretability and the constraint of the editing instruction are enhanced, the adaptability of the model in a complex editing task is improved, and the editing efficiency is improved. And the quality of an image editing result is improved.

The application discloses a kind of multilevel geometric entity cognitive behavior modeling method, device and medium, belong to computer-aided path field.The method includes: in the part modeling stage, interactive feature pair (IFP) is associated, and the belief-desire-intention cognitive behavior model of multilevel geometric entity is established based on interactive feature pair;Wherein, multilevel geometric entity includes basic interactive feature pair (B-IFP), composite interactive feature pair (C-IFP) and part;According to the belief-desire-intention cognitive behavior model constructed, the part with cognitive ability realizes assembly path planning process autonomously.The application establishes the method of multilevel geometric entity cognitive behavior model, enhances the cognitive ability of part, reduces the heavy man-machine interactive operation in assembly process, effectively improves the intelligent degree of assembly path planning process.

The present application provides a kind of nutritional composition in the application of the product for improving learning, memory and cognitive ability.The nutritional composition includes animal bifidobacterium lactis subsp.CP-9 and 3'-sialyllactose.Animal bifidobacterium lactis subsp.CP-9 and 3'-sialyllactose can synergistically enhance the memory retention ability of the body, reduce the degree of learning and memory errors, and up-regulate the expression of oligodendrocyte transcription factor 2 coding gene, myelin basic protein coding gene and brain-derived neurotrophic factor coding gene, realize the double regulation of myelin formation and neurotrophic in hippocampus region of brain, synergistically improve the neural plasticity of central nervous system through gut-brain axis pathway, and then double improve the learning, memory and cognitive function of the body from the behavior and molecular level.

The invention provides a work memory ability training method based on electroencephalogram neural feedback, a storage medium and equipment, and the method comprises the steps: obtaining electroencephalogram signal data of a tested object in a process of executing a training task, and obtaining task execution result data of the tested object, the training task at least comprising a digital memory breadth task and a spatial memory breadth task; extracting physiological features of the electroencephalogram signal data, and calculating a cognitive state index and a global cognitive ability index according to the physiological features and the task execution result data; the training task is adjusted according to the global cognitive ability index, and the tested object is trained again according to the adjusted training task; and when it is judged that at least one of the training times, the global cognitive ability index and the cognitive state index meets a preset training condition, generating a training report at least including the cognitive state index of the tested object during each training. The computing resource consumption, the training delay and the deployment cost in the multi-dimensional training of the working memory ability are reduced.

This application discloses a vehicle driving path planning method and electronic device, relating to the field of vehicle control technology. The method includes: acquiring image data of the vehicle driving environment from at least two angles; processing the image data using a preset image processing strategy to obtain the location information of pothole regions. The preset image processing strategy processes the image data in the following order: image closing operation, image opening operation, edge detection, color segmentation, and contour detection; calculating the depth information of the pothole regions based on the image data and the location information of the pothole regions; and determining adjustment parameters for the vehicle driving path based on the location information of the pothole regions, the current vehicle speed, and the depth information of the pothole regions, thereby planning the vehicle driving path based on the adjustment parameters. This application's method achieves low-cost, high-real-time, and high-precision intelligent driving path planning in complex road environments, significantly improving vehicle driving safety and passenger comfort.

The present application belongs to the field of microbial technology, and particularly relates to a synbiotic preparation of lactobacillus helveticus, a preparation method and application thereof. The synbiotic preparation of lactobacillus helveticus provided by the present application is a microcapsule preparation prepared by embedding lactobacillus helveticus as probiotics and sialylated human milk oligosaccharide as prebiotics in turn by using sodium alginate and chitosan. The lactobacillus helveticus is lactobacillus helveticus HL88. The lactobacillus helveticus HL88 used in the present application has better lysis activity on sialylated human milk oligosaccharide, and can effectively improve the utilization efficiency of sialylated human milk oligosaccharide. Further, the lactobacillus helveticus and sialylated human milk oligosaccharide are complexly embedded in the present application, which can play a synergistic metabolic role, thereby effectively promoting the brain development process. Therefore, the present application can provide a treatment idea for improving brain development retardation, and can provide a technical basis for developing probiotic drugs for promoting brain development.

The application discloses a transformer fault prediction method and system, and relates to the technical field of power equipment.The method comprises the following steps: collecting the start-stop action times of each time window, and determining the temperature control response lag coefficient of each time window by analyzing the temperature control lag level of the cooling control system in the power transformer when the cooling control system faces power mutation; analyzing the non-steady-state operation degree of the cooling control system in the corresponding time window to determine whether the temperature control state of the cooling control system affects the normal operation of the power transformer, and issuing a transformer fault prediction instruction; combining the power consumption drift and voltage frequency spectrum disturbance of the power transformer in each time window, analyzing the non-normal operation degree of the power transformer in the corresponding time window, performing digital model analysis on the non-normal operation index of the power transformer in each time window, generating a corresponding grade fault prediction signal, and performing corresponding voice broadcast reminding.

The application discloses a long-time sequence high-resolution ecosystem mapping method based on multi-source satellite image fusion, belongs to the technical field of remote sensing monitoring and geographic information, and comprises the following steps: constructing a double-feature verification model, fusing the texture features of historical high-resolution satellite remote sensing single-band panchromatic images and the phenology spectral features of synchronous multi-spectral images, and realizing accurate classification of historical ground objects; adopting a panchromatic sharpening algorithm to fuse the multi-spectral images of medium-resolution satellite remote sensing and the high-resolution single-band panchromatic images in a transition period, and generating a high-resolution multi-spectral data set; completing monitoring based on modern period original high-resolution images; and finally, performing space-time normalization through unified geographic grids and minimum mapping units. According to the satellite remote sensing images accumulated at present, the application can reconstruct an ecosystem evolution track with a time length of more than 60 years, rich spatial details and high space-time consistency.

The utility model discloses a lettering educational toy which comprises a box body, the box body comprises a first box body and a second box body which are connected with each other, and the first box body and the second box body can be closed and unfolded; a first storage table is arranged in the first box body, a first groove is formed in the first storage table, and a plurality of cards are placed in the first groove; a second storage table is arranged on the second box body, and a plurality of second grooves and a plurality of third grooves are formed in the second storage table; stamps are placed in the second grooves respectively, and the colors of the inkpad boxes are different. A box of inkpad is placed in each third groove. The lettering educational toy provided by the utility model integrates two functions of literacy and color recognition, and is stronger in interestingness; the structural design is reasonable, and storage is convenient.

The invention discloses an intelligent detection method and system for electric power field safety operation. Historical image data of an electric power field safety operation scene are collected; image data is used to carry out fully supervised training on the YOLO model, and a fixed category target is identified; based on the image data, constructing a multi-modal data set based on an electric power security rule knowledge graph; performing fine tuning training on a YOLO-World model by using the preprocessed multi-modal data set, and identifying an open category target; acquiring real-time image data, preprocessing the real-time image data, and inputting the preprocessed real-time image data into the trained YOLO model and the trained YOLO-World model; removing overlapping frames from the recognition results of the two models and then outputting a final detection result; performing compliance comprehensive analysis on the final detection result; and according to an analysis result, judging whether to prompt or give an alarm. According to the method, a fixed category target can be accurately identified, a variable category or a new target can be flexibly handled, and fine tuning training of the model is carried out by constructing a data set driven by a knowledge graph based on an electric power safety rule, so that the adaptability and accuracy of the system are improved.

The utility model discloses a children's sliding walking aid, which comprises a vehicle body and a front vehicle cover; the front vehicle cover is movably connected to the middle part of the vehicle body, and the front vehicle cover and the vehicle body enclose a cavity. Under the premise of limited space at the front of the children's walking aid and interference from a steering wheel or a grip, the utility model provides a front vehicle cover movably connected to the vehicle body at the front of the vehicle, so that the front vehicle cover can be opened relative to the vehicle body. On the basis that the vehicle body can perform the basic walking aid function of the walking aid, it can guide children to have a correct, practical and logical understanding of the structure of a car.

The application discloses a child camera, which comprises a shell, a main control module arranged in the shell, a camera module, a display module and an audio module which are electrically connected to the main control module respectively, the camera module and the display module are arranged on opposite two end faces of the shell respectively, the camera module comprises at least two cameras, at least one of which has an optical zoom function, the main control module is further communicatively connected to an object recognition module, the object recognition module is adapted to recognize objects in images captured by at least one of the cameras and acquire text, picture and / or sound information related to the objects, and the main control module is adapted to receive the relevant text, picture and / or sound information and control the display module to display the text and / or the picture and control the audio module to play the sound information, so as to help children understand the name, characteristics, use and other information of the objects and promote the improvement of their cognitive ability.

This utility model discloses a foldable, storage-friendly cylindrical children's play tunnel, relating to the field of children's toy technology. It includes a crawling tunnel toy, an inner tunnel cylinder, decorative leaves, and side support plates. The inner tunnel cylinder is fitted to the inner wall of the crawling tunnel toy. When in use, the inner wall of the inner tunnel cylinder features various patterns, making it easy for infants to observe and judge the shapes while crawling, thus enhancing their cognitive abilities. The inner tunnel cylinder is composed of multiple sections, each made of different materials, which can exercise the infant's tactile senses. Furthermore, the inner tunnel cylinder, through a component controller, can drive a twisting tube to make the crawling tunnel toy twist, increasing the enjoyment for the infant while crawling. Simultaneously, the chip inside the component controller has recording and voice-controlled playback functions, enhancing the infant's auditory and visual perception abilities and increasing the tunnel toy's fun and cost-effectiveness.