17results about How to "Get quickly" patented technology

The invention discloses a resource scheduling method, a database system and electronic equipment, and relates to the technical field of cloud computing, the database system comprises a main node, a first segment node group and a second segment node group, and the first segment node group and the second segment node group both comprise all segment instances of the database system. The segmented instances include a main instance and a mirror instance. The main instance in the first segment node group corresponds to the mirror instance in the second segment node group. The mirror instances in the first segmented node group correspond to the main instances in the second segmented node group. And the main node calls the segment instance in the first segment node group or the segment instance in the second segment node group to perform data processing in response to the data processing request. By applying the technical scheme of the invention, only the resources of a part of segment nodes need to be called during data processing, so that the resource overhead is reduced, and the data processing performance of a database system is improved.

This invention discloses a method for restoring turbulent degradation images based on complex amplitude detection, belonging to the field of computational optics imaging technology. This method constructs a computational optics imaging system without a hardware correction unit. It utilizes a wavefront sensor and an imaging sensor to simultaneously acquire Hartmann images and target degradation images. A computational unit performs wavefront complex amplitude reconstruction and aberration correction. Based on this, a physically constrained end-to-end neural network architecture is designed. By reconstructing the wavefront complex amplitude, it achieves accurate mapping and inference from the Hartmann image to the point spread function of the imaging system. Finally, a multi-scale deconvolutional network is combined to complete high-quality restoration of the turbulent degradation image. This invention eliminates the need for a hardware corrector, overcomes the physical limitations of traditional adaptive optics, effectively solves the problem of insufficient point spread function accuracy, and enables time-delay-free and highly efficient turbulent image restoration under low-cost conditions.

The application discloses an image defogging recognition method and system based on an improved generative adversarial network, which is used for feature extraction of an image to output feature maps of different scales, generates a mapping from a fixed input to an ambient light for estimating a pseudo ambient light, simultaneously generates a mapping to the ambient light after scattering using the same input, splices and combines the generated mapping and an input haze-free image into a new pseudo haze image, judges whether the pseudo haze image is a real image, reversely calculates the transmittance and ambient light value of an atmospheric scattering model, obtains parameters in an actual scene, and obtains a defogged image using the calculated parameters. The application can make the network extract more image features and better estimate the sound transmission law and ambient light value, and the color loss module can avoid the phenomenon of color change of the generated image, solve the problems of image information distortion and color change in the image recognition in the image defogging link, and improve the precision of image defogging recognition.

The application provides a distance detection method and system based on a light spot image, a device and a storage medium, and comprises the following steps: acquiring a light spot image of a target person, the light spot image being collected by a depth camera; intercepting a pixel region of a preset size on the light spot image; calculating the light spot definition of the pixel region; and determining distance information between the target person and the depth camera according to the light spot definition and a preset distance information generation model associated with the light spot definition and distance. In the application, the light spot image of the target person is collected, the pixel region is intercepted on the light spot image, the light spot definition of the pixel region is calculated, and the distance information between the target person and the depth camera is determined according to the light spot definition and the preset distance information generation model associated with the light spot definition and distance. The depth information of the object can be obtained more quickly, and the application can be used in a mobile phone, a motion sensing game, a payment and other consumer products for acquiring the face depth information at a close distance.

The image non-uniformity correction method and device, the infrared image device and the computer readable storage medium provided by the embodiments of the present application, the method comprises: acquiring a same group of in-focus images and out-of-focus images collected for a target scene; respectively decomposing the in-focus images and the out-of-focus images through wavelet transform to obtain corresponding in-focus sub-band images and out-of-focus sub-band images; determining a fixed image noise component contained in a high-frequency component in the out-of-focus sub-band images based on the high-frequency component; determining a corresponding image component estimation value according to a sub-band coefficient of the in-focus sub-band images and the corresponding fixed image noise component; reconstructing the image component estimation value through inverse wavelet transform to obtain a non-uniformity corrected image of the target scene, thus avoiding information loss and redundancy of the image signal in the decomposition process, so that the non-uniformity corrected image of the target scene is obtained more quickly and more clearly.

The application relates to the computer technical field and discloses a product function display method and system based on user permission management, which are applied to a product function display system, the system comprises a server and a terminal, and the method comprises the following steps: when a user triggers a login operation through the terminal, the terminal acquires user identification information of the user according to the login operation, and sends the user identification information and terminal identification information to the server; the server receives the terminal identification information and the user identification information, and performs authentication interaction processing on the terminal identification information and the user identification information; when the authentication is successful, target permission information of the user is determined according to the user identification information and the terminal identification information, and the target permission information is sent to the terminal; and the terminal receives the target permission information, and displays page content corresponding to the target permission information. It can be seen that the application can meet the intelligent demand of the user for learning product functions in time, and realize convenient upgrading of the product and use of extensible functions.

The invention provides an image processing method, device and system and a storage medium, the image processing method is applied to the image processing system, and the image processing system comprises a visual imaging module and a data processing module; the visual imaging module is connected with the data processing module; the visual imaging module comprises a zoom lens group, a micro-nano optical device and an image sensor which are sequentially adjacent in the optical axis direction; the image processing method comprises the following steps: determining an image of a target object through a visual imaging module; the image of the target object is obtained by transmitting light rays emitted by the target object or reflected light rays to the image sensor after the light rays are acted by the zoom lens group and the micro-nano optical device; performing data analysis on the image of the target object through a data processing module to obtain optical information of light of the target object; the optical information comprises at least two of the light intensity, the spectrum, the polarization and the direction of the light, so that the convenience of acquiring the multi-dimensional optical information of the light of the target object by the image processing system is improved.

This utility model relates to the field of helicopter technology, specifically to a bracket for installing airborne satellite communication and pods on helicopters. It includes a cabinet assembly, a pod assembly, an airborne antenna assembly, and a positioning antenna. The cabinet assembly consists of a CIU (Computer Integrated Unit), a computer, a small table, a cabinet frame, a tray, an IP phone, a cabinet power supply box, a base station equipment box, a top cover, and signal lights. The pod assembly includes a bowl-shaped component and an optoelectronic pod. The entire cabinet assembly is bolted to one side of the seat rail. The entire pod assembly is installed below the original nose pylon via the bowl-shaped component. The entire airborne antenna assembly is fixed to the left side of the cockpit ceiling via an antenna mounting plate and mounting bracket. Successfully installing the satellite communication and pod equipment improves the helicopter's information acquisition and processing capabilities, enabling real-time transmission of field information to the ground command center. This solves the problem of the lack of readily available installation platforms for existing Bell 429 helicopters, which makes satellite communication system installation inconvenient.

This invention belongs to the technical field of robot teaching and data acquisition. It discloses a multimodal robot teaching data acquisition system. The teaching device includes an operator input end, an end effector gripper, and a force transmission and feedback mechanism connected sequentially. A tactile sensor is embedded in the force transmission path of the end effector gripper for real-time acquisition of tactile information. A data processing module adjusts the damping parameters of the force transmission and feedback mechanism based on the contact state corresponding to the tactile information acquired by the tactile sensor and the local physical properties of the target object grasped by the end effector gripper. A data generation module performs unified data processing on the operator's input information, the end effector gripper's pose information, the acquired tactile information, and visual data after the damping parameters are adjusted to generate a multimodal robot teaching dataset. This invention achieves impedance adjustment for tactile drive, enabling the system to adapt to various contact states and improving data acquisition quality.

The invention belongs to the technical field of medicinal chemistry, and particularly relates to a selenium-containing gentiopicroside nitroxide free radical derivative as well as a preparation method and application thereof. A series of selenium-containing gentiopicroside nitroxide free radical derivatives with a specific structure are prepared and synthesized through a chemical process, and the selenium-containing compound derivatives obtained by adding a selenium-containing structure on the basis of the gentiopicroside nitroxide free radical derivatives show good in-vitro ROS scavenging activity and anti-inflammatory activity; the expression level of an inflammatory medium iNOS is effectively reduced, and the compound has a wide application prospect in preparation of medicines with the effects of preventing, relieving or treating inflammation.

This application provides a method, apparatus, device, storage medium, and program product for extracting medical formulas. The method includes: acquiring multiple medical literature documents; using a pre-defined large language model to extract and process the medical literature documents to obtain formula information corresponding to the medical formulas; classifying the formula information to obtain the departmental classifications corresponding to each formula, and indexing the formula information to obtain the indexes corresponding to each formula; establishing a formula knowledge base based on the departmental classifications and indexes corresponding to each formula, and saving the formula knowledge base to a database. The formula knowledge base is used to provide prompts for generating corresponding target medical formulas based on medical record data. The method of this application can extract medical formulas more quickly through a large language model.

The application discloses a nerve tumor surgery postoperative rehabilitation nursing device, and relates to the technical field of nerve tumor surgery, which comprises a nursing helmet, and an air bag neck ring is arranged at the bottom of the nursing helmet. The nerve tumor surgery postoperative rehabilitation nursing device can continuously cool the top of the head of a patient, so that the wound site is kept in a dry state at all times, a good nursing and healing environment is provided for the rapid recovery of the wound site, the head of the patient is helped to dissipate heat in a large area, the feeling of stuffiness and discomfort of the head caused by long-time wearing of the nursing helmet is eliminated, the wound site is prevented from being excessively pressed, a child lock mode is provided, direct scratching of the wound site by the hands of children is effectively prevented, the normal recovery of the wound site is protected, wound healing is accelerated, scarring is prevented, automatic diffusion type medicine application wet nursing effect on the wound site of the head of the patient is realized, and slow medicine application on the wound site is realized.

The application provides a battery health state prediction method, device, medium and electronic equipment. The battery health state prediction method comprises: obtaining battery data under different first battery states; obtaining a temperature difference value corresponding to a battery voltage under the first battery state based on the battery data under the first battery state; obtaining a voltage-related fitting value under the first battery state based on the battery voltage under the first battery state and the temperature difference value corresponding thereto; obtaining a first fitting slope and a first fitting intercept based on the voltage-related fitting value under the first battery state and a battery health state fitting value; and obtaining a battery health state prediction value under a second battery state based on the first fitting slope, the first fitting intercept and the voltage-related fitting value under the second battery state. The battery health state prediction method can improve the efficiency of obtaining the battery health state value.

The application provides an infrared radiation calibration precision verification method based on Boltzmann constant, comprising the following steps: in the satellite on-orbit calibration mode, cutting a reference black body into the infrared camera light path, performing full-aperture calibration, and acquiring black body temperature, platinum resistance state and other parameters; collecting gain, bias and other calibration data released by the calibration responsibility unit; calculating the black body radiation brightness according to the Planck radiation law; calculating the radiation brightness according to the calibration parameters, pixel DN value and other data; constructing precision verification variable S1; calculating the inversion value of the Boltzmann constant under specific conditions according to the black body temperature, wavelength, radiation brightness and other data; constructing precision verification variable S2; and further calculating the variance, deviation, sensitivity and other data on the basis of S1 and S2 to finely verify and judge the calibration precision.

The application discloses a kind of cone barrel racecourse boundary classification method system, device and storage medium, wherein method includes: obtaining the cone barrel detection result based on laser point cloud;Wherein, the spatial coordinates of each cone barrel are cone barrel detection result;Cone barrel detection result is provided as input to pre-established classification model, and the spatial distribution interrelationship feature and intermediate layer feature of cone barrel are extracted;The spatial distribution interrelationship feature and intermediate feature of cone barrel are aggregated by the classification model, and the classification result is obtained according to the aggregation result;Wherein, classification result is used to indicate the boundary category of each cone barrel.The application can obtain more reliable, more accurate, more quickly cone barrel racecourse boundary information compared with the method of image and laser point cloud fusion in prior art for racecourse cone barrel detection, to solve the problem of unreliable, high complexity in the cone barrel racecourse boundary classification scheme of prior art.The application can be widely applied in the field of unmanned driving technology.

The invention provides an electricity utilization safety supervision wireless communication method, system and device, and relates to the technical field of wireless communication, and the method comprises the steps: when an electricity utilization safety event is monitored, analyzing the support degree distribution of different tracking information sources of the electricity utilization safety event for the current support personnel group to process the electricity utilization safety event; and establishing wireless communication between different tracking information sources and the personnel group based on a first wireless communication mechanism supporting degree distribution pre-matching. When an electricity utilization safety event is monitored, the system analyzes the support degree distribution of different tracking information sources, and based on the support degree distribution, the system is matched with a wireless communication mechanism to ensure that wireless communication channels between the different tracking information sources and an event processing personnel group are effectively configured. A wireless communication mechanism enables information transmission to be more targeted and adaptive, event processing personnel can be helped to rapidly obtain key information, cognitive burden caused by information overload is reduced, and event processing efficiency and decision accuracy are improved.

The invention relates to an automatic schedule acquisition method for a mobile operating system, which comprises the following steps: S100: when detecting that a target application is started and runs in a foreground, starting a real-time schedule acquisition process; s200, obtaining an original text of a current interface of the target application; s300, purifying the original text to obtain a purified effective text; s400, inputting the purified effective text into a potential schedule information cache module to form a potential schedule text set; s500, transmitting the potential schedule text set to a schedule extraction model; and S600, finally outputting the structured schedule information. The main purpose of the invention is to provide an automatic schedule acquisition method for a mobile operating system, which can complete cross-application schedule information automatic identification and extraction without manual triggering of a user, and ensure the stability and precision of text extraction at the same time.