6results about How to "Accurately defined" patented technology

The application discloses a kind of hardness correlation liver cancer lung premetastatic niche mouse model construction method, it includes the following steps: (1) in vitro enrichment respectively on the low hardness substrate of hardness 6kPa and the high hardness substrate of hardness 16kPa, the condition culture supernatant of mouse liver cancer cell Hepa1-6 that is cultured and grows, respectively named mL-CM and mH-CM;(2) mL-CM and mH-CM are respectively injected into two groups of mice using tail vein injection mode, every 1 day injection 1 time, until the 26th day, during continuous monitoring the recruitment of BMDCs in fresh lung tissue, while with the induction endpoint, i.e. 26th day premetastatic niche mark feature detection includes lung tissue matrix remodeling, immunosuppression, angiogenesis, vascular permeability and inflammation etc..The method has the advantages of short modeling cycle, easy operation, controllable induction condition, can comprehensively and accurately evaluate the common characteristics of liver cancer lung premetastatic niche formation etc..

This invention relates to the field of pose estimation technology, specifically to a multi-view, multi-person 3D pose estimation method, apparatus, and device. The method includes: acquiring image information and depth information of the target using multi-view acquisition technology; segmenting the person in a single view based on the image information and extracting 2D semantic features; reconstructing the point cloud based on the depth information to obtain a 3D point cloud in a preset world coordinate system; segmenting the point cloud for different human figures based on the 3D point cloud and calculating the point cloud boundaries as human body boundaries; mapping the 2D semantic features to the 3D point cloud to obtain 3D features; and classifying different human figures and constructing 3D poses based on the 3D features and human body boundaries. This technical solution can segment the point cloud for different human figures based on the 3D point cloud, accurately define the joint positions of different figures, and achieve differentiation and matching of different figures. Furthermore, based on discrete point cloud data, it has better flexibility and fault tolerance.

The application provides a kind of multi-agent collaborative MCP registration, authorization and execution method based on blockchain, it is related to artificial intelligence technical field, including MCP provider, LLM provider, terminal user three parties, the registration, joint authorization and trusted execution of MCP are realized through smart contract, including: registration MCP metadata chain, apply for authorization for user-LLM combination, LLM initiates double signature call, contract verification and triggers execution, Oracle returns result and updates state.The application realizes decentralization, multi-agent collaboration, MCP call full-link verifiable, accurate definition of rights and responsibilities, supports fine-grained permission management and automatic fee settlement, meets GDPR, HIPAA and other compliance regulatory requirements, provides underlying support for large-scale and secure invocation of external services, and is suitable for SaaS, API market and other multi-scene applications.

The application provides a monitoring method based on an electronic fence, which comprises the following steps: forming a traffic cone area by a plurality of traffic cones provided with UWB base stations, and defining an electronic fence area by signals of broadcast information of the UWB base stations, so as to serve as the traffic cone area; providing a tag device for personnel and construction vehicles; receiving personnel position information and vehicle position information sent by each tag device by the UWB base station, so as to determine characteristic information of the personnel and / or the construction vehicles in real time; and performing matching verification according to the determined characteristic information of the personnel and / or the construction vehicles, and judging whether the personnel and / or the construction vehicles are in the traffic cone area. The application can more effectively and intelligently monitor real-time dynamic and position information of personnel in a construction site or a maintenance site, and can more effectively guarantee the safety of the personnel and maintenance vehicles in the construction site or the maintenance site by judging whether the determined position of the personnel or the vehicle is in the traffic cone area, and issuing an alarm warning for prompting.

The application discloses a limited space toxic gas gradient detection system and method based on a UAV, and the system comprises the following steps: a multi-sensor integrated module is installed at the bottom of a UAV platform, and the module comprises a hydrogen sulfide electrochemical sensor, an oxygen optical sensor, a positioning module and a laser radar; a controller is connected with the UAV platform, the multi-sensor integrated module and a communication module; and a data processing terminal is connected with the controller through wireless communication. The method comprises the following steps: a two-dimensional vertical plane model of a vertical detection plane is generated based on LiDAR data, a plurality of detection points arranged in a matrix form are divided from the two-dimensional vertical plane model, spatial coordinate information, hydrogen sulfide gas concentration data and oxygen concentration data of each detection point are collected, and hydrogen sulfide and oxygen concentration data of all horizontal layers in the vertical direction are calculated based on the detection data by using a Kriging interpolation algorithm. The system and method can automatically realize high-precision gradient detection of toxic gases in the vertical direction in a limited space.

The present application relates to the technical field of geological surveying and mapping, in particular to a coalfield aquifer spatial distribution analysis method based on surveying and mapping fusion, which comprises: performing spatial registration on the original surveying and mapping data set of a target region to obtain spatialized surveying and mapping data; obtaining spatial difference partitions through three-dimensional reconstruction of aquifer lithology and thickness and correlation mapping of water conductivity performance, determining boundary information by combining aquifer outcrop and structure point overlay analysis, and constructing a digital spatial structure; updating the structure through multi-source real-time monitoring data parameter inversion, interpreting water level anomaly spatial characteristics, positioning risk areas in combination with water conductivity performance partition, inferring trends by fusing water inflow records, and generating a risk distribution information map; the present application can improve the efficiency of coalfield aquifer spatial distribution analysis based on surveying and mapping fusion.