9results about How to "Early detection" patented technology

This invention relates to a multimodal orbital classification and recognition method, terminal, and medium based on edge AI. The method, applied to a mobile terminal, includes the following steps: acquiring a two-dimensional color image of a face to be recognized; performing region segmentation on the two-dimensional color image of the face to obtain a color image of the orbital region; acquiring three-dimensional face data corresponding to the two-dimensional color image of the face; obtaining a face depth image based on the three-dimensional face data; performing region segmentation on the face depth image to obtain a depth image of the orbital region; and using the color image of the orbital region and the depth image of the orbital region as input to a lightweight multimodal recognition model to obtain the classification result. Compared with existing technologies, this invention has advantages such as high reliability and small scale.

The present invention relates to a method, an application system, and a cloud platform for detecting abrupt changes in spatial data for national territorial spatial planning, wherein the steps in the method for detecting abrupt changes in spatial data for national territorial spatial planning include pre-processing data for detecting abrupt changes and detecting abrupt changes; the application system applies the method for detecting abrupt changes in spatial data for national territorial spatial planning, so as to carry out the abrupt change detection; and the cloud platform is deployed with the application system. In the implementation of technical solution of the present invention, after pre-processing by a higher-level user, all comparison computations are based on a comparison of attribute data, and the efficiency is higher by an order of magnitude than that of graphical computations, which has the advantages of low computational consumption and high efficiency. In addition, a spatial planning cloud support platform is used to carry out computations in a distributed manner, which not only reduces the workload of a higher-level spatial planning management department, but also shortens the process and time for a submission for review to the cloud client by a lower-level spatial planning and compilation department; secondly, it can ensure the accuracy of the spatial data for national territorial spatial planning and correct spatial data tampering caused by mis-operation at any time in a timely manner.

The invention relates to the technical field of financial risk prediction, and discloses a financial transaction risk dynamic prediction system based on artificial intelligence. A financial data acquisition unit of the system obtains real-time market information flow and associated entity information flow of global multi-market transaction objects, a financial space-time cube is formed through space-time alignment processing, and the data flow and the information flow comprise multiple types of information such as an object asset price fluctuation sequence and a market depth change sequence; the risk factor separation unit executes deep tensor decomposition on the financial space-time cube, and extracts a core factor tensor and an abnormal mode indication tensor; a risk strategy generation unit generates a multi-market collaborative real-time risk prevention and control strategy containing subject asset position adjustment and market open control instructions based on the core factor tensor and the mechanism risk preference map; the dynamic strategy adjustment unit identifies an emergency risk event according to the abnormal mode indication tensor, revises the strategy in real time to generate a new prevention and control strategy, and can effectively deal with the dynamic risk of the financial market.

The invention relates to an early disease detection device based on high-depth cell-free nucleic acid sequencing, and the device can comprise a library preparation part which is used for preparing a library set comprising a whole genome sequencing library, a whole epigenome sequencing library, a transcriptome sequencing library and an epitranscriptome sequencing library based on cell-free nucleic acid extracted from blood; the sequencing part is used for sequencing the library set to generate high-depth cell-free nucleic acid sequencing data; the signal calculation part is used for mapping the high-depth cell-free nucleic acid sequencing data to a genome reference sequence so as to determine the position of the high-depth cell-free nucleic acid sequencing data on a genome, and calculating at least one disease-specific signal value based on the mapped high-depth cell-free nucleic acid sequencing data; a prediction signal value generation section for processing the at least one disease-specific signal value to generate a disease prediction signal value; and a prediction model generation unit for generating a disease prediction model using the marker information relating to the blood and the disease prediction signal value to detect the occurrence or absence of a disease in the input blood and the type of the disease.

A method, process, and computer program for determining an order in which a food product is successively cultured with a set of bacterial cultures in a process for producing a fermented food product, each bacterial culture of the set of bacterial cultures including at least one bacterial strain, wherein the set of bacterial cultures comprises a first subset of one or more bacterial cultures comprising one or more unknown bacterial strain, and a second subset of one or more bacterial cultures comprising one or more known bacterial strains, wherein each of the bacterial strains of the second subset is known; wherein the process is carried out with an initial order of the set of bacterial cultures; wherein during culturing with each bacterial culture of the first subset a process sample is collected, wherein a culture sample of a bacterial culture of the second subset is exposed to the collected process samples in order to determine bacteriophage sensitivities of the one or more bacterial cultures of the second subset to bacteriophages present in the collected process sample, wherein an adapted order of the set of bacterial cultures is determined based on the determined bacteriophage sensitivities such as to reduce common bacteriophage sensitivities in successive bacterial cultures.

The invention discloses an electric drive system NVH dynamic test system and method based on XIL. The system comprises a driver-in-the-loop module, a real object-in-the-loop module and an NVH data acquisition system. The driver in-the-loop module is used for collecting a driver real-time operation signal and providing a virtual driving environment; the real object in-the-loop module receives a signal through a real-time simulation machine, and a co-simulation model is used for resolving vehicle dynamic operation parameters; and the rack system drives the dynamometer to apply a dynamic load to the tested electric driving system by adopting a composite control framework based on rotating speed closed-loop control and combined with dynamic compensation according to the parameters. By constructing a human-vehicle-road closed-loop coupling mechanism, the problem that transient load change in a complex driving scene cannot be reproduced in a traditional rack test is solved, working conditions such as urgent acceleration and braking can be simulated in a high-fidelity manner, vibration and noise response of an electric driving system in real dynamic operation can be accurately captured, and the reliability of the electric driving system is improved. And the authenticity and the effectiveness of the NVH test are obviously improved.

This invention discloses an online monitoring method for external leakage in aircraft hydraulic systems based on a mechanistic model, belonging to the field of hydraulic system technology. It aims to solve the technical bottlenecks of existing aircraft hydraulic system external leakage monitoring, such as poor real-time performance, high false alarm rate, and inability to detect the leakage amount and rate. The method includes the following steps: First, a mechanistic model is constructed based on the law of conservation of mass. Combined with temperature and pressure data monitored by airborne sensors, the oil volume inside each hydraulic component outside the tank is calculated according to volumetric deformation characteristics, deriving the theoretical value of the oil volume inside the self-pressurized tank. Second, the mechanistic model is corrected by comparing the theoretical value with the actual monitored value using flight parameter data under leak-free conditions, eliminating inherent errors. Finally, real-time flight parameter data is input to recalculate the theoretical value, and compared with the real-time monitoring value from the level sensor to determine if the system is leaking. If leakage occurs, the leakage amount and rate are calculated, and an early warning result is output. This invention relies on existing airborne sensors, requiring no additional equipment or sensors. It can effectively distinguish between normal oil fluctuations and actual leakage, improving monitoring accuracy and real-time performance. It provides data support for the handling and maintenance of aircraft hydraulic system leakage faults and has certain engineering application value.

The application relates to the technical field of intelligent crop pesticide application, and relates to a precision pesticide application method and system of an agricultural robot based on adaptive control, which comprises the following steps: crop pest state score identification is performed on a crop information set to obtain a pest state matrix and acquire a pest matrix change sequence; a risk area set in the pest matrix change sequence is identified according to a pest threshold value, and the total pest intensity of the risk area set is acquired; when the total pest intensity is greater than a pesticide application threshold value, the spraying suitability of an environment information set is identified; when the spraying suitability is greater than an implementation condition threshold value, drug type identification is performed on the crop information set to obtain first pesticide configuration information and second pesticide configuration information; a pest development trend identification operation is performed on the pest matrix change sequence to obtain a pest trend range; and the first pesticide is proportioned according to the first pesticide configuration information and the risk area set, and the second pesticide is proportioned according to the second pesticide configuration information and the pest trend range. The application can improve the accuracy of crop pesticide application.

The utility model discloses a road construction safety early warning vehicle relates to road construction safety early warning technical field, including main part, the main part still includes early warning mechanism, and the bottom of main part is provided with a plurality of moving wheel, the utility model drives push plate to move down with electric telescopic link, and push plate moves down in the process of driving push rod to move down, and push rod moves down in the process of driving connecting strip synchronous down, and further make articulated guardrail expand outward to preset position, like this can accurate cover the dangerous range of construction area, let rear vehicle clear identification safety boundary, and electric telescopic link can reverse contraction, drive articulated guardrail automatic retraction, and the early warning vehicle is convenient for fastly removed to new construction position, and adapts many place operation demand, and articulated guardrail expands, and dangerous alarm flashing light passes through the light of high brightness scintillation, can remind rear vehicle in front of the construction area in several hundred meters, let the driver have enough time to slow down, change lane, and all -round improve the safety protection of construction area.