14results about How to "Valid response" patented technology

The application relates to the technical field of aerial video analysis, and discloses a large-scene multi-modal analysis system and method based on a UAV. The method acquires an original video frame sequence from aerial equipment, extracts a scene change period and an object motion trend by calculating an inter-frame motion feature vector, and judges whether a scene is in a stable or dynamic state by means of a state classification model. In the dynamic state, a tracking target position is calculated according to preset parameters, and an analysis target area is adjusted in combination with the motion trend; a camera parameter adjustment instruction is generated according to a deviation amount of the analysis target area from an actual object position, and is output to an executing mechanism; a complexity value is acquired through a scene complexity feedback signal, and when the complexity value exceeds a preset range, an adaptive algorithm is used to update an analysis strategy and output an adjustment signal; the output timing of control and strategy adjustment signals is optimized, the frame sequence and analysis parameter change trend are monitored in real time, preset parameters are dynamically updated to match user requirements, and efficient video analysis processing is realized.

The present application relates to the technical field of three-dimensional image data processing, and particularly relates to a preoperative auxiliary planning MRI image laryngeal tumor three-dimensional reconstruction system. For each voxel point in the initial three-dimensional model of the larynx, the system constructs a preoperative three-dimensional laryngeal image result through tissue image features. In the intraoperative stage, the expected tissue change characteristics are obtained according to the information of the instrument coordinate trajectory in the three-dimensional laryngeal image structure, and compared with the actual tissue change characteristics embodied by the power feedback data sequence of the electrocautery, so as to determine the abnormal type of the tissue under the coordinate trajectory, and update the labeling in the initial three-dimensional model. The present application can effectively identify the abnormal type of the detailed tissue feature area by comparing the expected tissue change characteristics with the actual tissue change characteristics, and then update and render the three-dimensional model in real time through the labeling method, so as to realize the effective response of the intraoperative characteristics.

The application discloses a method for interactive multi-model adaptive vibration active control based on variational Bayes, and relates to the technical field of vibration control, comprising the following steps: a system model set containing multiple potential dynamic modes is established, and initialization setting is performed on each model; in each control sampling period, variational Bayes iteration is performed on each model; the above process is repeated for each channel to obtain optimal state estimation of each channel; covariance cross fusion method is used to fuse the state estimation results of multiple channels to calculate global optimal state estimation; the global optimal state estimation is convolved with a reference signal filtered by a secondary channel model to generate a reverse control signal, the reverse control signal is driven by a power amplifier to drive an actuator to generate a secondary force to offset the original vibration, and vibration suppression is realized. The application realizes high-precision and high-robustness vibration suppression by fusing variational Bayes adaptive Kalman filtering and interactive multi-model estimation.

The invention relates to the field of automobiles, in particular to a battery overcurrent protection method and related equipment. The method comprises the following steps: acquiring a plurality of different over-current thresholds and a current signal of a target battery; wherein different over-current threshold values correspond to different judgment durations; the higher the overcurrent threshold is, the shorter the corresponding judgment duration is; and when the time that the current signal continuously exceeds any overcurrent threshold reaches the corresponding judgment duration, performing overcurrent protection on the target battery.

The application relates to a business data processing system, method, storage medium and equipment. The system comprises a business operation layer and an object aggregation layer which are independent of each other, and the business operation layer and the object aggregation layer transmit data in an asynchronous decoupling mode. The business operation layer performs a persistent operation on original business data to form persistent business data, and stores the persistent business data in a database. The object aggregation layer processes data of multiple business operation scenes according to a user business request to form aggregation data, and sends the aggregation data as a first response result to a user terminal. The data of the multiple business operation scenes comprises the persistent business data. The application can more quickly and effectively respond to business logic, can support efficient business application in complex, changeable and extended scenes, reduce the bloated, uncontrollable and unsustainable of a lightweight architecture system after continuous iteration, and maintain the lightweight architecture and flexibility of the business system.

The application relates to the field of network security monitoring, and discloses a method and system for picture and video retrieval, which are characterized by the following steps: setting a frame image acquisition module, a picture tracing module, an implantation identification module and an object processing module, performing continuity judgment on image frames of video content, effectively responding to and extracting the content randomly implanted in the video, performing network retrieval on the features of the extracted safety identification image, effectively acquiring the implanted content in the video according to the image features of the source image, and judging the network security of the related implanted content. Compared with the traditional method, the method is more efficient and reliable, and has higher implanted content identification effect.

The invention discloses a Pd modification-based SnO2 hydrogen sensor sensitive material preparation method, which comprises: dissolving stannous chloride dihydrate and polyvinylpyrrolidone in a solvent according to a certain ratio to obtain a uniform mixed solution; carrying out solvothermal reaction, washing, drying and calcining treatment on the mixed solution to prepare pure SnO2 nano powder; and ultrasonically dispersing the prepared nano SnO2 powder in ethanol, adding a PdCl2 solution, uniformly dispersing, drying, and calcining at high temperature, thereby obtaining the catalyst. The hydrogen sensor sensitive material has good response to low-concentration hydrogen and can be used for leakage detection of low-concentration hydrogen.

This invention provides a non-contact interactive system based on a photoelectric sensor array, comprising: a photoelectric sensor array, the photoelectric sensor array including: a transparent substrate; a conductive layer formed on the transparent substrate; a patterned confinement layer formed on the conductive layer for forming a patterned array of photoelectric active materials; a patterned array of photoelectric active materials formed on the patterned confinement layer, wherein each patterned unit in the array forms a miniature photoelectric sensor unit under the drive of an external bias voltage; a surface light source located on the back side of the substrate of the photoelectric sensor array; and a reflector movably located on the front side of the substrate of the photoelectric sensor array. This interactive system utilizes the high responsivity and fast response speed characteristics of the photoelectric sensor array to enable the interactive interface to quickly track signals from moving objects, and achieves photocurrent growth through light reflection from the reflector onto the surface light source, thereby realizing a responsive, contactless, three-dimensional human-computer interaction.

A two-hand position recognition method, comprising: step S1: obtaining three-dimensional information of left hand, right hand and eye by using a depth camera; step S2: determining eyeball position, face center point and hand anchor point; wherein the hand anchor point is determined by left hand gesture, right hand gesture and relative position of left hand and right hand; step S3: calculating the line of the eyeball position and the hand anchor point, and intersecting with the display at position a; calculating the line of the face center point and the hand anchor point, and intersecting with the display at position b; step S4: according to the distance between the hand anchor point and the eye and the display, respectively giving the position a and the position b weight values alpha and beta, and calculating the weighted center point c of position a and position b; wherein alpha+beta=1. The present application has the advantages of large operation range, high precision, low cost, simple operation, flexible setting.

This invention relates to the field of artificial intelligence technology and discloses an AI-driven multimodal data analysis method and system. The system includes a data acquisition module for setting up acquisition nodes and terminals, acquiring multimodal data and device operating parameters in real time, and converting the formats; a multimodal fusion module for constructing a cross-modal semantic association model, processing spatiotemporal characteristics, fusing representational features, and associating simulations; a feature extraction module for constructing image, text, and speech-related extraction algorithms to obtain corresponding features; a comprehensive analysis module for standardizing features, performing association calculations, and comparing them with preset thresholds to analyze semantic consistency; and a hierarchical processing module for combining contextual calculations and analysis when semantic inconsistencies occur, performing secondary comparisons to analyze the target scene performance. This system and method can effectively process multimodal data, improve the accuracy and efficiency of semantic analysis, and are applicable to various scenarios.

The invention relates to the technical field of new energy power safety management, in particular to an integrated safety management platform for construction and operation and maintenance stages of a new energy power station. Synchronously acquiring personnel, equipment and environment multi-source data in a construction period and an operation and maintenance period through a multi-modal data acquisition layer; after preprocessing of the edge computing gateway layer and judgment of a local threshold value, construction and operation and maintenance sub-twinborn models are constructed by a cross-period safety twinborn modeling module and are mapped and aligned, so that hidden danger cross-period association is realized; the intelligent analysis module performs conjoint analysis on the fused data to predict illegal behaviors and accident probability; the safety index calculation module quantifies safety indexes and divides risk levels in combination with the multi-dimensional difference degree; the dynamic double-domain isolation module dynamically generates a dangerous area according to the risk level and executes intrusion judgment; and the linkage control module realizes safety control through equipment interface interlocking according to a judgment result, so that the construction operation and maintenance cooperative safety protection capability is improved.

In various implementations, a computer-implemented method for generating cue input describing a design modification includes: receiving a first cue input indicating a first modification to a three-dimensional (3D) design; determining a first context input based on one or more attributes of the 3D design; and causing a first generative machine learning (ML) model to generate a second cue input based on the first cue input and the first context input, wherein the second cue input indicates a second modification to the 3D design.

The utility model provides a structure for relieving motion sickness fatigue, and belongs to the technical field of life health. According to the utility model, the winding carrier is worn around the eyes, the plurality of semiconductor temperature changing pieces are arranged on one side, close to the eyes, of the winding carrier, meanwhile, the winding carrier is also provided with the air ducts connected to the semiconductor temperature changing pieces, and the fans are arranged in the air ducts, so that the peripheries of the eyes are stimulated through the temperature change when the semiconductor temperature changing pieces work; the generated heat is quickly discharged through the air duct, the influence of motion sickness is relieved in time, fatigue and tension are relieved, the influence of motion sickness is reduced, in addition, temperature change adjustment of the semiconductor temperature changing piece can be directly and electrically controlled, personalized adjustment can be achieved according to different individuals, adjustment is convenient and easy to achieve, and the application range is wide. In addition, stimulation to the periorbital region is a non-invasive natural method, side effects are smaller, response is timely, the intervention effect on motion sickness is better, and application and popularization are facilitated.