WuHan University

The disclosure pertains to the field of data analysis and services, specifically to an online inference method, service system, and device based on an artificial intelligence geospatial data cube. The method involves constructing a cube organizational model based on a spatiotemporal grid, where the cube organizes and manages geospatial data and GeoAI models in a unified manner. It performs task-oriented model matching through a combination of explicit and implicit matching, where explicit matching converts user inference requests into multidimensional query conditions to retrieve candidate models, and implicit matching determines the optimal model by computing the feature similarity between inference data tiles and candidate models. Based on a distributed inference framework, an efficient inference workflow is executed in parallel across multiple computing nodes. The disclosure aims to address the limitations of existing technologies in multi-scenarios or large-scale spatial scenarios, such as low inference accuracy and slow inference speed.

A retrieval method for surface ozone based on surface ultraviolet radiation irradiance includes: establishing a deep learning model; establishing a statistical relationship between input variables including surface UV irradiance, column ozone, elevation of a geolocation, year/month/date, latitude and longitude, and surface ozone concentrations at monitoring sites; matching a site-monitored surface ozone concentration with the surface UV irradiance and column ozone; training the deep learning model; estimating surface ozone concentrations in regions with available satellite observations based on the trained deep learning model; and inputting surface UV irradiance, column ozone, elevation of a geolocation, year/month/date, latitude and longitude into the trained deep learning model to estimate surface ozone concentration; evaluating an air quality based on the surface ozone concentration of the geolocation.

An optimization method based on integration of flocculation, vacuum, and solidified sludge includes: arranging a sludge treatment device, where the sludge treatment device includes a flocculation conditioning component, an oxidation conditioning component, a solidification conditioning component, a retardation conditioning component, an upper vacuum component, a lower vacuum component, a standing component, and a standing vacuum component, and the upper vacuum component, the lower vacuum component, or the standing vacuum component is evacuated through a vacuum pressure module; dividing the sludge into high organic matter sludge, small batch of low organic matter sludge, and large batch of low organic matter sludge for treatment according to a sludge quality and organic matter content of sludge; and selecting the appropriate component top-down grading splicing according to the processing object. In each sludge treatment process, work is completed in one component before proceeding to the next component until the treatment is completed.

The present disclosure provides a Ground Penetrating Radar (GPR) detection imaging method and device for a development condition of a frozen wall, and processing equipment. The method is used to additionally consider the correlation between signals of each channel based on the signals collected by GPR detection, and realize secondary imaging through a cross-correlation back projection method to avoid interference caused by complex conditions of an electromagnetic interference detection environment such as shield segments. This can effectively improve the resolution and imaging accuracy, help to more clearly complete the identification of the development condition of the frozen wall, and meet a high-quality data usage requirement of rock engineering involving Artificial Ground Freezing method (AGF).

Provided is a vehicle 4D millimeter-wave radar inertial odometry method and a computer-readable medium. The method includes: eliminating significant radar spatial noise through relaxation filtering; performing single-frame velocity measurement based on a selecting weight iteration-based robust estimation method, and eliminating dynamic noise; performing IMU observation integration by mechanical arrangement to obtain a predicted vehicle state; constructing velocity constraints based on single-frame velocity measurement and a predicted velocity to initially update the vehicle state; constructing a local map based on the previous point cloud frame, searching n-nearest neighbor points of each radar point in the local map at next moment, calculating a weighted distance from distribution to multi-distribution as matching constraints from point cloud to local map, and performing further updating based on iterative filtering to obtain a precise vehicle state; and updating the vehicle state at all moments by 4Dradar closed-loop detection and GICP to reduce the positioning drift.

A method for orienting includes: setting a digital optical imaging device including a photosensitive device, a lens, and a global navigation satellite system (GNSS) receiver; allowing an optical axis of the lens to pass through a geometric center of the photosensitive device, so that a celestial body is imaged on the photosensitive device; and positioning a current position by using the GNSS receiver, and recording an accurate time; calculating an accurate azimuth angle of the celestial body at this moment, wherein, at this time, an imaging position of the celestial body on the photosensitive device is located on an extension line of a ligature of the azimuth of the celestial body and a geometric center of the photosensitive device, thereby through accurately extracting the imaging position of the celestial body, a placement orientation of the digital optical imaging device is determined, and a north direction is obtained.

The invention provides a preparation method of a photonic crystal laser and a photonic crystal laser itself. The method includes: creating a two-dimensional periodic array of air holes on a semiconductor wafer to form a photonic crystal, and each primitive cell of the array contains one air hole; the photonic crystal is divided into a left domain and a right domain; shift the left domain to the left by the first preset distance; shift the right domain to the left by a second preset distance, or rotate the right domain by a preset angle along a point on the interface between the left domain and the right domain; truncate the right domain along the interface and keep the right part of right domain. This invention enables the creation of photonic crystal lasers with advantages such as broad spectral bandwidth, multiple wavelengths, low threshold, and high power.

The present application is related to a method for in situ detection of multiple lung cancer-related markers in live circulating malignant cells, and tumor heterogeneity, including accurately detecting at least one lung cancer-related nucleic acid marker in live lung cancer cells by using a lung cancer-targeted nanoprobe loaded with a plurality of molecular beacons to reflect levels of different markers in the lung cancer cells from a single cell level and a heterogeneous state of a tumor of a specific patient. The nanoprobe is a nanoparticle self-assembled from a high polymer material, an electropositive protein, a functional polypeptide and/or a functional aptamer, and a molecular beacon of a lung cancer-related marker. The nanoprobe can be used to target different phenotype circulating malignant cells in whole blood, detect nucleic acid markers in living cells, and reflect levels of different markers in the malignant cells from a single cell level.

The present application provides a precise ion implantation type modified geopolymer and an efficient preparation method thereof, wherein the precise ion implantation type modified geopolymer comprise: a geopolymer source material with a specific size, which implanted by Si and Al ions with a designated dose by an ion implanter. The geopolymer source material consists of a mixture of solid waste, alkali activator, and water.

The disclosure pertains to the field of data analysis and services, specifically to an online inference method, service system, and device based on an artificial intelligence geospatial data cube. The method involves constructing a cube organizational model based on a spatiotemporal grid, where the cube organizes and manages geospatial data and GeoAI models in a unified manner. It performs task-oriented model matching through a combination of explicit and implicit matching, where explicit matching converts user inference requests into multidimensional query conditions to retrieve candidate models, and implicit matching determines the optimal model by computing the feature similarity between inference data tiles and candidate models. Based on a distributed inference framework, an efficient inference workflow is executed in parallel across multiple computing nodes. The disclosure aims to address the limitations of existing technologies in multi-scenarios or large-scale spatial scenarios, such as low inference accuracy and slow inference speed.