19results about How to "Strong consistency" patented technology

This invention discloses an individual motion behavior analysis system based on dynamic modal configuration and rule-guided fusion, belonging to the fields of intelligent perception, sports science, and human-computer interaction. It includes a data input module, a dynamic modal organization and configuration module, a multimodal feature modeling and fusion module, an indicator-level evaluation and behavior state prediction module, a statistical rule-guided analysis and result correction module, and a structured result generation and output module. These modules work together to form a complete closed loop for motion behavior analysis technology. This invention aims to address the problems in existing motion behavior analysis technologies, such as limited dimensionality of single-modal information, rigid multimodal fusion methods, insufficient stability and interpretability of analysis results, and strong dependence on large-scale manually labeled data.

The present application relates to the technical field of electric digital data processing, and discloses a multi-entry intention collaborative control method, device, equipment and storage medium, which are used for the accuracy of multi-entry collaborative control.The multi-entry intention collaborative control method comprises the following steps: obtaining intention instructions from multiple control entries, and constructing an intention dependency graph; based on a preset unified state machine model, simulating execution according to the intention instructions and the intention dependency graph, so as to detect and identify conflict intentions, and obtain a conflict intention set; arbitrating the conflict intention set based on a reinforcement learning dynamic arbitration strategy, so as to obtain a winning intention instruction sequence; updating the global state of the unified state machine model according to the winning intention instruction sequence, and generating a global state snapshot; and publishing the global state snapshot to all control entries through an edge collaborative network, so as to realize state synchronization.

The utility model discloses a computer flat cable automatic detection device, and relates to the technical field of computer detection equipment. The utility model discloses an automatic detection device for a computer flat cable, and the device comprises a detection platform which is used for installing a to-be-detected computer; the number of the supporting columns is four, the four supporting columns are distributed on the outer edge of the detection table in a rectangular array mode, and a mounting table is arranged at the free ends of the supporting columns; the detection assembly is installed on the installation table, the detection assembly is right opposite to the table top of the detection table, and the detection assembly is used for detecting a to-be-detected computer; wherein a detection channel is arranged between every two adjacent supporting columns.

The embodiment of the invention discloses a long-term future transaction risk assessment system based on a hybrid model, and the system guarantees that a prediction process is only executed before an effective transaction day through a dynamically updated transaction day detection and screening mechanism. Performing preprocessing and feature engineering on the original data, constructing multi-scale features and performing intelligent screening; then, a point location of a future price and upper and lower limits of a fluctuation interval are respectively predicted by adopting a triple LSTM network, and a prediction result is subjected to rationality constraint; and finally, performing weighted fusion on the LSTM output and the sequence of the short-term prediction model through a consistency correction algorithm to generate a final prediction result, and generating risk assessment data according to the prediction result. According to the method, time sequence modeling, feature engineering and result correction strategies are fused, and the technical problems of model learning distortion and multi-task output logic conflicts caused by neglecting the market calendar effect and depending on a single model in a traditional method are effectively solved, so that a prediction sequence which is high in stability and high in consistency and meets a predefined constraint relation is generated.

This invention relates to the field of battery trays, and more particularly to a battery tray lifting lug connection structure and its connection method. Specifically, it discloses a battery tray lifting lug connection structure, comprising: a tray frame and a lifting lug sleeve. A through mounting groove is formed on one end face of the tray frame, and the lifting lug sleeve is interference-fitted into the mounting groove. An adhesive layer is filled between the contact surfaces of the lifting lug sleeve and the tray frame. Unlike welding in the prior art, this application uses an interference fit for fixing, followed by adhesive bonding for reinforcement. This eliminates the need for welding during processing, avoiding defects associated with welding and facilitating application in industrial production lines. The assembly process design does not require consideration of the impact of material parameters on welding, improving production efficiency and resulting in a smoother and more aesthetically pleasing product surface.

This invention discloses an automated PVB film precision cutting and lamination production line, relating to the field of laminated glass production technology. It includes a first transport structure, a second transport structure, a third transport structure, and a fourth transport structure. The first transport structure is equipped with a detection mechanism, an automatic alignment structure, and a defective product pushing mechanism. A first servo module is used to transport the upper glass sheet, and a second servo module is used to transport the precision-cut PVB film. These components, along with a lifting assembly and a suction cup assembly, achieve alignment and lamination with the lower glass sheet. The second transport structure has a laser heating end and is equipped with a laser precision cutting robot to enable on-site cutting and use of the PVB film. This automated PVB film precision cutting and lamination production line operates within a cleanroom, automatically aligning and positioning the glass, performing clean online precision cutting, and automating the entire lamination process. It solves the problems of low manual efficiency, easy shrinkage and deformation of the film, and poor cutting accuracy, saving on cleanroom equipment costs. It features a high degree of automation, stable lamination quality, and is suitable for large-scale, efficient production of PVB laminated glass.

The utility model discloses an automatic antenna bending mechanism, which belongs to the technical field of antenna bending devices, and comprises a workbench, a rotating motor, an oscillating cylinder, a film folding plate and a film folding bottom plate, the film folding plate and the film folding bottom plate are both hinged on the workbench, the rotating axis of the film folding plate is parallel to the rotating axis of the film folding bottom plate, and the rotating axis of the rotating motor is parallel to the rotating axis of the film folding bottom plate. The rotating motor and the oscillating cylinder are both mounted on the workbench, the rotating motor is connected with and drives the film folding plate, and the oscillating cylinder is connected with and drives the film folding bottom plate; according to the utility model, the bending angle can be adjusted at will through the automatic bending mechanism, the antenna can be bent efficiently, the bending force and the bending position can be controlled more accurately, the consistency of produced products is stronger, the traceability of defective products is stronger, and the production efficiency is improved. And corresponding mechanisms can be rapidly and efficiently adjusted according to defective products.

This application provides an adaptive integrated land surface classification method and system based on multi-scale spatiotemporal partitioning, belonging to the field of remote sensing image processing technology. The method includes: acquiring multi-source remote sensing image data, digital elevation model (DEM) data, and historical land use data; partitioning the target area into spatial units based on the DEM data; identifying the phenological change process of each spatial unit using time-series data; determining spatiotemporal partitions based on the change process, historical land use data, and each spatial unit; constructing a feature set based on the spectral, textural, and index features of the topography and phenological characteristics of each spatiotemporal partition; selecting and applying a corresponding pre-trained land surface classification model based on the feature set and spatial units to obtain the classification result; and establishing a feedback update mechanism based on the classification result, multi-source remote sensing image data, and DEM data. This application improves classification efficiency and accuracy.

This invention discloses a device and method for creating a mouse model of chronic pancreatitis by impact, belonging to the technical field of animal experimental equipment. The device includes a vibration generator, a vibration rod, and a vibration head, and can also be equipped with an outer shell, levers, and a buffer sleeve. The vibration generator drives the vibration rod to generate high-frequency reciprocating vibrations in the vibration head. The vibration head is a miniature rigid structure with various end shapes such as spherical, spoon-shaped, and forceps-shaped. The outer shell enables tissue dissection, pancreatic clamping, and axial extension and retraction of the vibration head. The buffer sleeve blocks vibration transmission. The modeling method involves pre-setting the device parameters, exposing the pancreas through levers after abdominal incision, allowing the vibration head to contact the target area and initiate high-frequency vibration to complete the modeling. This device achieves precise targeted stimulation of the mouse pancreas, with controllable damage intensity, avoiding collateral damage to surrounding organs. It is simple to operate, has high model repeatability, and can construct mouse models of chronic pancreatitis of different degrees, making it suitable for basic research on pancreatic diseases.

The application belongs to the technical field of communication network and routing control plane configuration management, and relates to a single-process embedded NETCONF configuration management method, system and terminal. The management method comprises the following steps: embedding a NETCONF server module and a YANG data tree in a routing control plane management process, creating a data storage instance; initializing the NETCONF server module and making it enter a listening state; after a session is established with a NETCONF client, receiving an RPC request in the process by the NETCONF server module, parsing an XML message to extract an operation type, configuration change data of the NETCONF and a target path; calling the data storage instance by the NETCONF server module through an interface in the routing control plane management process; and performing corresponding configuration transaction operations on a candidate configuration library and / or a running configuration library according to the operation type by the data storage instance. The application significantly reduces the system integration and operation complexity and guarantees the strong consistency of multi-interface configuration.

This invention relates to the field of program control technology, specifically to a modular design method and system for an intelligent control training device for electrical engineering training in universities. The method includes the following steps: obtaining terminal coordinates and numbers; completing position allocation and eliminating occupancy based on hole matching; deriving wire routing based on connection relationships; extracting numbers and mapping them to address ranges; and integrating position paths and address relationships. In this invention, by constructing a spatial distribution sequence of terminals and combining it with hole matching relationships to form a continuous position mapping, generating wire routing based on connection relationships and adjusting path conflict areas, spatial layout information and connection logic are collaboratively associated. Furthermore, contacts and coil numbers are mapped to address ranges, establishing an association structure between position, path, and control address. This demonstrates differences in spatial information integration and logical relationship linkage, exhibiting stronger consistency compared to discrete processing methods, making the wiring planning process orderly and the control relationships more intuitive.

The application provides a layered DPoS-based multi-chain architecture and a data access method. The layered DPoS-based multi-chain architecture comprises: a plurality of attribute blockchains, each corresponding to an attribute subdomain divided by mutual exclusion, each attribute blockchain being maintained by a corresponding attribute committee and being used for recording data access control transactions in the attribute subdomain; wherein each attribute committee internally elects a verification node through a first layer of layered DPoS consensus, and the verification node performs consensus confirmation on transactions on the attribute blockchain; a global verification chain is in communication connection with each attribute blockchain, and is used for performing final consensus confirmation on transactions on each attribute blockchain that are confirmed by the first layer of consensus through a second layer of layered DPoS consensus, and maintaining global state consistency across attribute subdomains. The global state consistency across domains is efficiently maintained when multi-attribute domain data sharing is processed, and the system scalability is improved.

This application discloses a unified data change capture method and apparatus based on a database mesh layer, relating to the field of database technology. It includes: defining an SQL interceptor interface containing pre-execution, post-execution, and exception interception methods, and making it inherit from a sorting interface with execution order; creating a context object with extended information fields for data transfer between interceptors; responding to SQL requests by calling the pre-execution interception method, parsing the SQL type and performing preprocessing, taking over transaction control and setting a transaction flag in the extended information field; issuing SQL execution and obtaining the result; upon success, calling the post-execution interception method, performing post-processing according to the SQL type, and committing the transaction according to the transaction flag; and in case of an exception, calling the exception interception method to roll back the transaction according to the transaction flag. This invention achieves unified and precise control over the entire SQL execution process, solving the problems of poor scalability and low data reliability in existing technologies.

The application provides a kind of satellite high-voltage magnetic isolation wide pulse signal transmission circuit, including pulse signal edge transmission circuit, pulse signal recovery circuit and pulse width limiting circuit;The leading edge and trailing edge position information of wide pulse control signal is transmitted from the primary isolation of the amplification driving transformer of pulse signal edge transmission circuit to the secondary, and the wide pulse signal is reformed through pulse signal recovery circuit, the pulse width of primary and secondary pulse signal is consistent, and the phase relationship is kept synchronous, while pulse width limiting circuit limits the output pulse width, realizes the isolated transmission of wide pulse signal.The application realizes the design goal of lossless and efficient transmission of pulse signal with arbitrary pulse width from low-voltage side to high-voltage side based on the circuit topology.

This invention discloses a financial fraud detection method based on a pre-trained language model and machine learning, relating to the interdisciplinary fields of financial technology and artificial intelligence. The method includes the following steps: Step 1, data acquisition and preprocessing to obtain financial data to be detected; Step 2, performing dual-channel feature extraction and feature fusion to obtain a fused feature vector, wherein the dual-channel feature extraction includes structured data feature extraction and unstructured text feature extraction; Step 3, inputting the feature vector into a machine learning model for training and evaluation to determine the machine learning model; Step 4, inputting the fused feature vector of a target enterprise into the machine learning model to obtain and output the financial fraud risk probability of the target enterprise.

This invention relates to the field of surface-enhanced Raman scattering (SERS), specifically to a surface-enhanced Raman spectroscopy (SERS) method, system, and nanotag preparation method for IL-6 immunoassay. Applied to data analysis in low antigen concentration scenarios, the Raman scan image is first converted into a binary image according to a set threshold, and quantification is performed using the percentage of positive regions (RPP). The exponential relationship between the RPP and antigen concentration verifies that single-molecule events follow a Poisson distribution. Finally, the linear relationship between the product of the RPP and the average Raman intensity of the positive regions (RPP*ARI) and the concentration is used to analyze antigen concentration data. When testing clinical serum samples, this immunoassay method shows strong consistency with standard clinical laboratory methods. The nanotags prepared in this application exhibit clear signals at single nanoparticle resolution, thereby achieving ultrasensitive / single-molecule detection.

The application provides a tunnel lining defect judgment method based on detection process self-consistency constraint, and the method comprises the following steps: collecting reference detection response data and disturbance detection response data on the same detection path respectively, and generating corresponding response sequences after unified pretreatment; constructing a self-consistency measurement sequence by position alignment correction, in combination with a weighted center value, a disturbance response discrete degree and spatial continuity; and adaptively generating a judgment threshold based on the sequence, so as to realize identification of an abnormal position and aggregated output of a defect section. The scheme does not need to rely on historical samples or manual calibration, and the robustness and automation level of defect judgment are improved.

This invention provides a robust adversarial camouflage generation method, system, and storage medium for monocular depth estimation in multi-view and complex environments. The method includes: Step S1, scene data acquisition: acquiring forward image data during vehicle movement; Step S2, adversarial texture rendering; Step S3, multi-view image acquisition: randomly selecting different angles, distances, and bias parameters, obtaining the corresponding camera positions through a transformation function, and using a differentiable renderer to obtain multiple object images with different angles, distances, and offsets, along with corresponding masks; Step S4, complex physical domain environment enhancement; Step S5, adversarial loss: constructing an adversarial loss function; Step S6, multi-view joint optimization. The beneficial effects of this invention are: overcoming the limitations of existing methods for object detection models and their difficulty in directly transferring to regression tasks, achieving robust multi-view adversarial attacks against texture-sensitive models like MDEs in complex physical domains.

This invention relates to the field of mechanical compressive strength testing technology, specifically a compressive strength testing device for a mechanical sensor integrated PDU loading execution component, including a testing platform and a column frame; it also includes a lifting frame; a fixed sleeve is installed on the lifting frame, and a contact plate is arranged inside the fixed sleeve; an energy storage component and a release component are arranged on the lifting frame, the energy storage component includes a pressure block that cooperates with the fixed sleeve through a locking component, and a pressure spring; during testing, the energy storage component can drive the pressure spring to compress, thereby performing an energy storage action; the release component can release the stored energy when the energy storage component reaches the design value, so as to instantaneously convert the stored energy into the extrusion force of the contact plate on the part to be tested; the extrusion force is precisely controlled by the compression amount of the pressure spring, and the compression amount is adjustable; therefore, it can generate an instantaneous impact force of any value within a continuous range, instead of discrete step values, thereby accurately "scanning" the critical failure load of the part and accurately assessing its safety margin.