The disclosure provides a family identification method and system, comprising constructing collection of basic attribute data and spatial-temporal residence behavior data corresponding to all users in a time period in a study area based on cell phone positioning big data, obtaining the residences of all users, establishing a collection of user pairs for the user pairs whose residences satisfy a distance threshold, establishing a spatial-temporal accompanying model, and screening all possible user pairs with the family relationship through the number of spatial-temporal accompanying residence days and a spatial-temporal accompanying residence frequency to form different groups of connected subgraph clusters, identifying connected subgraph clusters with the number of users that satisfy a number threshold as a family group cluster, classifying relation between generations in family according to age difference between ages of the family group cluster and the number of times that users temporarily visited the space of an educational facility.
G06Q 50/00 - Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
The present invention provides a use of an NK3R inhibitor in preparation of a drug, the drug is used for treating chronic kidney diseases, and the structure of the NK3R inhibitor is as shown in Formula (I) or Formula (II).
The present invention provides a use of an NK3R inhibitor in preparation of a drug, the drug is used for treating chronic kidney diseases, and the structure of the NK3R inhibitor is as shown in Formula (I) or Formula (II).
The present disclosure provides a curve-based radiometric calibration method and system of a spaceborne hyperspectral imager, which belongs to the field of remote-sensing optical technologies. A new radiometric calibration coefficient curve is introduced to describe the radiometric properties of sensor response, providing the radiometric calibration coefficients of all bands of the hyperspectral camera with linear variable filter (LVF) within an imaging spectral range to match the implementation of the programmable band selection imaging technology, and thereby efficiently and simply implementing single-band imaging, integral imaging of adjacent band, imaging of randomly-selected band combination and within-spectral-range cyclic imaging. In the present disclosure, the radiometric calibration coefficient is used to cover the entire imaging spectral range of the hyperspectral camera and match the implementation of the programmable band selection imaging technology, and realizing on-orbit absolute radiometric calibration with simple flow and strong universality.
A method for toughening of fiber-reinforced concrete in the field of concrete technologies is disclosed. The method comprises (1) design of mortar matrix; (2) design of ductile composite mortar with strain-hardening characteristic; (3) iterative design between the ductile composite mortar and aggregate; and (4) load-carrying capacity verification and optimization. In the process of external loading, mesoscale multiple cracking and strain-hardening behaviors are developed in the interstitial matrix between adjacent aggregate particles.
This invention discloses a method and system for numerically defining a rebar-concrete interface element under both monotonic and cyclic loading, comprising: first, establishing a finite element model of reinforced concrete component, and generating a solver input file within the finite element software; then, adding a series of user-defined interface elements in the solver input file; then, inputting parameters of characteristic points of the axial bond-slip curve between rebar and concrete, the diameter of rebar, and the characteristic parameters of fibers associated with the user-defined element (UEL) in the solver input file; then, setting the element stiffness matrix, the coordinate transformation matrix and residual in the UEL subroutine; finally, submitting the solver input file in the finite element software, and calling the UEL subroutine for calculation.
G06F 30/23 - Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
G06F 30/12 - Geometric CAD characterised by design entry means specially adapted for CAD, e.g. graphical user interfaces [GUI] specially adapted for CAD
This invention discloses a new gene, OlGn8.2, derived from wild rice Oryza longistaminata and applications thereof, belonging to the field of crop genetic engineering and molecular biology techniques. The OlGn8.2 was introduced into the near-isogenic line NIL-OlGn8.2 or overexpressed in rice variety 9311, resulting in thicker stems and a significant increase in the number of primary and secondary branches as well as the number of grains per panicle. These results indicate that the OlGn8.2 significantly enhances rice yield by promoting growth and development, increasing the development of the primary and secondary branches, and consequently increasing the number of grains per panicle. Therefore, the OlGn8.2 has great potential for application in the breeding of high-yield rice varieties.
The present application relates to the field of satellite navigation systems. Disclosed is a real-time sliding ultra-short-term forecasting model algorithm based on frequency data and phase data, the algorithm comprising the following steps: S1, converting clock error phase data into frequency data; S2, using a frequency abnormality detection function to process the frequency data, so as to eliminate an abnormal value, wherein the frequency abnormality detection function determines, on the basis of the standard deviation and threshold of the frequency data, whether the frequency data is an abnormal point; and S3, performing real-time sliding clock error forecasting, and using fitting phase data and a threshold range to eliminate the abnormal value and update a forecasting epoch. In the present invention, the elimination of an abnormal value from clock data and the calculation of a clock error prediction value are linked, so that the detection and elimination of the abnormal value from the clock data are rolled out in real time; and the calculation of a real-time clock error prediction value is performed, so that a clock frequency deviation is corrected. The present invention can improve the accuracy, real-time performance and data stability of forecasting, and is flexible and applicable to various types of satellite orbits.
The present application relates to the field of satellite navigation systems, and discloses a real-time sliding ultrashort-term forecast model algorithm based on frequency data and phase data. The real-time sliding ultrashort-term forecast model algorithm based on frequency data and phase data includes: S1, converting clock error phase data into the frequency data; S2, processing the frequency data through a frequency anomaly detection function, and eliminating an abnormal value, where the frequency anomaly detection function determines whether the frequency data is an outlier according to a standard deviation and a threshold of the frequency data; and S3, performing a real-time sliding clock error forecast, and eliminating the abnormal value and updating a forecast epoch by using fitted phase data and a threshold range.
A real-time edge computing method and system for additive manufacturing monitoring are presented. The method involves creating a dataset, developing an online monitoring model, and training it with the dataset. The trained model is then deployed on an edge device to monitor the additive manufacturing process in real-time. The system comprises an edge device and a high-speed camera for capturing and transmitting manufacturing footage to the edge device, which analyzes the data using the deployed model for continuous process monitoring.
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
G06T 3/4053 - Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution
G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
10.
PREPARATION METHOD FOR FULL-COLOR MICRO-LED MODULE, AND FULL-COLOR MODULE
The present application relates to a preparation method for a full-color Micro-LED module, and a full-color module. The preparation method comprises the following steps: preparing a blue Micro-LED chip array, and implanting boron ions into side walls of blue Micro-LED chips; flip-chip bonding the blue Micro-LED chip array to a driving substrate, and fixing the blue Micro-LED chip array and the driving substrate into a holder structure; fixing a metal-dielectric composite reflective layer on the holder structure; preparing a dielectric material framework layer on the metal-dielectric composite reflective layer, and spin-coating the dielectric material framework layer with a quantum dot layer to form a full-color Micro-LED module. According to the present application, the implantation of the boron ions can increase the resistivity of the side walls of the chips, effectively suppressing leakage and non-radiative recombination of carriers on the side walls of the chips; the metal-dielectric composite reflective layer has high transmittance for blue light and high reflectivity for green and red light, and can thus increase the light emitting intensity; and the dielectric material framework layer can enable double-excitation resonance in both transverse electric and transverse magnetic waveguide modes, thereby effectively broadening the resonance bandwidth, improving the overall color conversion efficiency.
G09F 9/33 - Indicating arrangements for variable information in which the information is built-up on a support by selection or combination of individual elements in which the desired character or characters are formed by combining individual elements being semiconductor devices, e.g. diodes
The invention pertains to the control technology of microgrid energy storage systems, particularly to a hierarchical distributed control method and device for microgrid cluster with heterogeneous batteries. This method includes primary droop control, two-layer voltage regulation control, and two-layer power management control. The incremental cost of heterogeneous batteries is physically defined as the partial derivative of energy loss with respect to output power. A cooperative control method for the incremental cost of multiple heterogeneous battery units is proposed, which can achieve economic power distribution among multiple heterogeneous battery units while meeting the constraints of charging/discharging power, SoC, and power balance. This invention's method integrates battery types where charging efficiency is tied to charging power with those where charging efficiency is connected to SoC, ensuring ease of expansion. Even with the introduction of a new battery type in the microgrid cluster, the method continues to be effective.
H01M 8/04992 - Processes for controlling fuel cells or fuel cell systems characterised by the implementation of mathematical or computational algorithms, e.g. feedback control loops, fuzzy logic, neural networks or artificial intelligence
H01M 8/18 - Regenerative fuel cells, e.g. redox flow batteries or secondary fuel cells
H01M 10/0525 - Rocking-chair batteries, i.e. batteries with lithium insertion or intercalation in both electrodesLithium-ion batteries
H01M 16/00 - Structural combinations of different types of electrochemical generators
12.
IMPROVED GNSS TROPOSPHERIC DELAY REAL-TIME GRID MODEL CONSTRUCTION METHOD AND SYSTEM
Disclosed are an improved GNSS tropospheric delay (ZTD) real-time grid model construction method and system. Firstly, a global tropospheric delay elevation normalization grid model is constructed using global ERA5 reanalysis data from a plurality of years. Then, elevation normalization and grid horizontal interpolation are performed on GNSS real-time ZTDs to obtain a global tropospheric delay real-time grid model. A user only needs to provide position and time information and use the global tropospheric delay elevation normalization grid model and the global tropospheric delay real-time grid model to be able to obtain a ZTD at a target point. According to the present invention, the high spatial resolution of a numerical weather model (NWM) and the high precision of the GNSS tropospheric product are comprehensively used, and an elevation normalization function form is optimized, so that the construction of a tropospheric delay real-time grid model covering a larger height range is achieved, and high-precision tropospheric delay correction information can be provided for GNSS real-time high-precision data processing, thereby improving the data processing performance.
G06F 30/20 - Design optimisation, verification or simulation
G01S 19/07 - Cooperating elementsInteraction or communication between different cooperating elements or between cooperating elements and receivers providing data for correcting measured positioning data, e.g. DGPS [differential GPS] or ionosphere corrections
13.
Method and system for 3D contour reconstruction of AM parts based on light field imaging
A method and system for 3D contour reconstruction of AM parts based on light field imaging, belonging to the field of image reconstruction technology is provided. The method includes constructing an EPI-UNet framework, where a preset light field dataset is used to construct a training set, learning labels from the disparity maps corresponding to the preset light field dataset are obtained, and EPI-UNet framework is trained to obtain a predicted disparity vector with the training set and learning labels. Two mappings including disparity and depth mapping, and disparity and 3D mapping, are established to get 3D contour of the AM part. The experiments of validation for accuracy and 3D contour reconstruction of AM parts were performed. By applying light field multi-view vision to the AM process and combining the rich angle and spatial domain view information of the light field, this disclosure provides a reliable quality assurance for AM monitoring.
The embodiment of the present invention discloses Hangtaimycin derivatives and their preparation and application. Hangtaimycin derivatives are obtained by fermentation of Streptomyces spectabilis CCTCC M2017417 and its genetically knockout mutant strain in SFMR medium, with further isolation, purification, and alcoholysis. Through screening, Hangtaimycin derivatives showed excellent anti-inflammatory and analgesic, anti-tumor, liver injury protection, cell membrane protection, and drug addiction prevention activities, providing new drug leads for developing related drugs.
A61P 1/16 - Drugs for disorders of the alimentary tract or the digestive system for liver or gallbladder disorders, e.g. hepatoprotective agents, cholagogues, litholytics
A61P 25/04 - Centrally acting analgesics, e.g. opioids
Provided are a method and system for automatically estimating a mammary gland volume based on a mammary gland magnetic resonance imaging (MRI) image, to automatically segment a mammary gland region in a three-dimensional MRI image of a subject's chest by means of morphological prior knowledge of a breast MRI image and a computer image processing technology, calculate a voxel volume of a segmented part and an actual volume, and guide a doctor in selecting an appropriate fake breast mold. Compared with manual framing of the mammary gland region in conventional practice, the present disclosure can automatically complete marking and volume calculation of the mammary gland region, and greatly improve working efficiency.
Provided is a method and a system for evaluating enzymatic reaction feasibility based on multiple tasks and molecular multi-modal features. An enzymatic reaction feasibility dataset is constructed with a public dataset and a bioengineering reaction rule template library; SMILES sequence features and Morgan fingerprint spatial structure features of a product molecule and a substrate molecule of a reaction are used as inputs to a neural network; a dual-branch network is constructed based on an attention mechanism and a convolutional neural network to extract molecular multi-modal features; a product SMILES sequence generation task is taken as a secondary task to strengthen the capability of a model learning sequence feature; richer features are provided for an enzymatic reaction feasibility evaluation task; and the trained model is effectively enabled to accurately determine reaction feasibility by taking the molecular multi-modal features into overall consideration.
G16B 40/00 - ICT specially adapted for biostatisticsICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
The present disclosure relates to the field of frequency control technologies of power grid systems and in particular to a platform and method for power grid frequency regulation with participation of large-scale energy storage based on MADDPG. Firstly, based on a scene of power grid frequency regulation with participation of large-scale energy storage, a control platform architecture for power grid frequency regulation with participation of large-scale energy storage based on MADDPG is designed. Then, based on the multiple agents deep deterministic policy gradient algorithm, under the drive of environmental interaction data, training and learning are performed to obtain optimal control multiple agents for power grid frequency regulation with participation of energy storage. Finally, by using the optimal control multiple agents, control on the output power of the thermal power unit and the charge and discharge of the large-scale energy storage is performed for participation of power grid frequency regulation.
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
18.
ANTI-MEIOB MONOCLONAL ANTIBODY, MUTATION DETECTION PRIMER SET, ASO MOLECULE, SMALL MOLECULE DRUG AGAINST MEIOB PROTEINS, AND USE THEREOF
Provided are an anti-MEIOB monoclonal antibody, a mutation detection primer set, an ASO molecule, a small molecule drug against MEIOB proteins, and the use thereof. The monoclonal antibody can specifically recognize MEIOB proteins, and has good specificity and a high titer. Compared with a polyclonal antibody, the monoclonal antibody has higher recognition specificity. The mutation detection primer set can detect the discovered hMEIOB gene mutation sites and potential mutation sites in the hMEIOB gene. The ASO molecule can target and bind to the transcription product of the hMEIOB gene so as to inhibit the expression thereof. The full thio-modification of the molecule improves the stability and half-life of the molecule, and the molecule itself is non-toxic and degradable. The small molecule targeting MEIOB proteins can be used for blocking MEIOB functions and spermiogenesis so as to achieve a contraceptive effect, and can be used for reducing the expression level of MEIOB proteins and cell proliferation capacity in tumor cells so as to realize tumor-targeted therapy.
G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
C12Q 1/6883 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
G01N 33/68 - Chemical analysis of biological material, e.g. blood, urineTesting involving biospecific ligand binding methodsImmunological testing involving proteins, peptides or amino acids
A61K 31/00 - Medicinal preparations containing organic active ingredients
19.
MULTI-MODAL REMOTE SENSING IMAGE HYBRID MATCHING METHOD AND SYSTEM WITH MULTI-DIMENSIONAL ORIENTED SELF-SIMILAR FEATURES
The present invention provides a method and system for multi-modal remote sensing image hybrid matching with multi-dimensional oriented self-similarity features. The method comprises: hybrid feature coarse matching is executed by rapidly extracting the image's self-similarity features using the offset mean filtering method and describing the feature points using the directional information of the self-similarity features. Through this coarse matching, an affine transformation model between multi-modal images is estimated, and an initial affine transformation is applied to the matched image. Next, the multi-dimensional oriented self-similarity feature fine matching is performed by constructing multi-dimensional oriented self-similarity template features using the multi-channel self-similarity map obtained from the hybrid feature coarse matching stage. Through a subsampling strategy applied to the constructed template features and convolution enhancement using a three-dimensional Gaussian kernel, the directional self-similarity features are strengthened. Finally, a three-dimensional phase consistency measure is used to identify highly accurate matching homologous points.
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06T 3/4007 - Scaling of whole images or parts thereof, e.g. expanding or contracting based on interpolation, e.g. bilinear interpolation
G06T 5/20 - Image enhancement or restoration using local operators
G06T 5/40 - Image enhancement or restoration using histogram techniques
G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
G06V 10/771 - Feature selection, e.g. selecting representative features from a multi-dimensional feature space
20.
INTELLIGENT MONITORING, INVERSION AND DYNAMIC PREDICTION SYSTEM FOR TRANSIENT PROCESS OF PUMPED STORAGE UNITS
An intelligent monitoring, inversion and prediction system for a transient process of pumped storage units is provided, including: an equipment layer including sensors for obtaining hydraulic, mechanical and electrical operation data of the pumped storage units in real time, a data layer including a real-time database, a relational database, an expert knowledge base and a file system and used for storing hydraulic, mechanical and electrical operation parameters collected by the equipment layer in different levels, a twin layer including a modeling and an application of a digital twin model and used for a three-dimensional modeling and a key information visual display of a pumped storage system with BIM technology and a service layer displaying one-dimensional time domain parameters and designing and visualizing front-end interfaces for six functions: operation optimization, online monitoring, inversion, dynamic prediction, health assessment and fault warning.
The application provides drugs, expression vectors, and their applications in the treatment of NAFLD and related diseases, pertaining to the technical field of targeted drugs. The drugs include streptavidin or a recombinant expression vector for streptavidin. Streptavidin can bind to acetyl CoA carboxylase 1, alter its subcellular localization within mammalian cells, and ultimately inhibit de novo lipogenesis. Ectopic expression of streptavidin can inhibit lipid accumulation within mammalian cells. Compared with chemical small-molecule drugs, streptavidin, as a protein drug, exhibits relatively lower liver and kidney toxicity. Streptavidin might be a relatively mild inhibitor of acetyl CoA carboxylase, avoiding a severe side effect of hyperlipidemia. Furthermore, streptavidin is very stable, which might be conducive to drug delivery and adaptable to different administration methods.
A61K 38/16 - Peptides having more than 20 amino acidsGastrinsSomatostatinsMelanotropinsDerivatives thereof
A61P 1/16 - Drugs for disorders of the alimentary tract or the digestive system for liver or gallbladder disorders, e.g. hepatoprotective agents, cholagogues, litholytics
C12N 15/85 - Vectors or expression systems specially adapted for eukaryotic hosts for animal cells
22.
DEVICE, SYSTEM, AND METHOD FOR IN-SITU MEASUREMENT OF THREE-DIMENSIONAL MORPHOLOGY OF MELT POOLS
The disclosure aligns a processing laser beam and a measurement laser beam coaxially, and directs the processing laser beam and the measurement laser beam respectively onto the metal powder and melt pool surface for manufacturing and measuring the 3D of melt pool. A light beam is formed by the reference laser beam interfered with the measurement laser beam reflected by the melt pool, and is directed to the image acquisition unit to obtain an interference image of the melt pool surface. The contour accuracy was proved to be 15 nm under case of lateral resolution of 15.63 μm by the resolution board. The experiment of 3D melt pool was performed. This disclosure enables in-situ measurement of the 3D morphology of the melt pool during additive manufacturing. The disclosure is to incorporate a filter to eliminate high-temperature thermal radiation emitted from the melt pool, significantly enhancing the accuracy of morphology measurements.
Provided are compositions and methods useful for preparing circular RNA, particularly circular RNA that encodes one or more proteins, having superior stability. Such circular RNA includes complementary regions capable of forming a duplex region that is important for maintaining the stability of the circular RNA under different environments, and facilitate translation and circulation. Such complementary regions can be formed by codon optimization, or be introduced as heterologous sequences. Also provided are circular RNA that express non-structural proteins of self-amplifying RNA (e.g., nsP1-4), which can amplify separate mRNA molecules containing the corresponding conserved sequence elements (CSE). The mRNA can encode a gene of interest (GOI). When they are introduced to a target cell together, the circular RNA can amplify the mRNA, enabling stable and high expression of the GOI.
Provided are compositions and methods useful for inserting or replacing a nucleic acid fragment to a target genome sequence. Unlike the conventional prime editors, the disclosed methods do not require a retro-transcriptase or a pegRNA. Instead, the Cas protein is fused to, or otherwise coupled to, or is present within the same cell as, a DNA polymerase, which uses a single stranded donor DNA to generate the desired insertion sequence.
The present disclosure provides a weakly-centralized frequency regulation control method of a charge station cluster based on virtual leader and a medium. Firstly, based on the control strategy of the virtual synchronous generator and the requirements of the electric vehicles and the charge stations, an architecture of the virtual synchronous generator of the electric vehicles and the charge stations is established. Secondly, based on the control strategy of the collaborative topology design of multiple charge stations, a virtual leader is determined and a weakly-centralized consistency algorithm is designed. Finally, a control strategy of the collaborative frequency regulation of the charge station cluster is proposed to achieve the weakly-centralized frequency regulation control of the charge station cluster.
The present invention discloses to a selective-laser-melting (SLM) printing defect detection and repair method and system based on a deep learning network and belongs to the technical field of additive manufacturing. The method includes: training a first neural network model through a defect dataset to obtain a defect recognition model; in a printing process of a part to be detected, performing online defect recognition through the defect recognition model; if a current layer has no defects, continuing to perform powder spreading and printing on a next layer; if a defect is recognized in the current layer, selecting whether to repair the defect according to a defect type; if defect repair is needed, after the current layer is printed, suspending powder spreading once, predicting laser remelting parameters by adopting a pre-trained second neural network model, and performing laser remelting repairing until the current layer has no defects; and repeating the processes of online defect recognition and laser remelting repair until the part to be detected is printed. In the present invention, the online defect recognition and repair are realized, and the real-time performance of the defect repair is improved.
The present invention is applied to the technical field of river channel water depth inversion. Disclosed is a river channel water depth inversion method based on a water depth-water surface area mathematical model and remote sensing, comprising constructing a first water depth-water surface area mathematical model of a river channel; on the basis of the type of the river channel, calculating a relationship function among the discharge section area, the water depth and the flow path of the river channel, and a relationship function among the area of triangles on two sides, the water depth and the flow path of the river channel, and substituting the relationship functions into the first water depth-water surface area mathematical model to obtain a second water depth-water surface area mathematical model; on the basis of the relationship between a water level and the water depth, converting the second water depth-water surface area mathematical model into a water level-water surface area mathematical model, in view of a water level-water surface area relationship obtained by remote sensing, solving an unknown number in the mathematical model, and substituting the solved number into the second water depth-water surface area mathematical model to obtain a third water depth-water surface area mathematical model; and substituting a water surface area extracted by remote sensing into the third water depth-water surface area mathematical model to obtain the water depth of the river channel. The present invention improves the representativeness of a water depth value, and also overcomes the difficulty of using bands to invert the water depth of water having high sediment content.
G06F 30/20 - Design optimisation, verification or simulation
G01C 13/00 - Surveying specially adapted to open water, e.g. sea, lake, river or canal
G01F 23/00 - Indicating or measuring liquid level or level of fluent solid material, e.g. indicating in terms of volume or indicating by means of an alarm
29.
INVERSION METHOD OF RIVER COURSE DEPTH BASED ON MATHEMATICAL MODEL AND REMOTE SENSING OF WATER DEPTH-WATER SURFACE AREA
An inversion method of river course depth based on a mathematical model and remote sensing of water depth-water surface area includes the following steps: constructing the first mathematical model; calculating the relation function between the water flowing cross-section area, the triangle area at two sides and the water depth as well as the flow path, and substituting the relation functions into the first mathematical model to obtain the second mathematical model; transforming the second mathematical model into the mathematical model of water level-water surface area; solving the unknowns in the mathematical model, and substituting the unknowns into the second mathematical model to obtain the third mathematical model; and substituting the water surface area extracted by the remote sensing into the third mathematical model to obtain the water depth of the river course.
Provided are compositions and methods useful for deleting a target DNA sequence from a target DNA molecule. The GRAND-Del system employs a pair of pegRNA which, by virtue of their targeting nearby genomic sites and having sequences complementary to each other, collectively form a template for inserting an exogenous sequence to the target DNA molecule replace the target DNA sequence that is to be deleted. A deleted chromosomal DNA sequence can be degraded, inserted randomly (resulting in random transposition), or at a target location such as in a different position in the same chromosome or in a different chromosome (resulting in targeted transposition) or a centromere-containing plasmid (resulting in the generation of an artificial chromosome).
China Huaneng Renewables Corporation Limited, Hubei (China)
China Huaneng Zhongxiang Wind Engery (China)
Inventor
Tao, Jinsong
Chen, Yingjie
Bian, Hao
Zhang, Shujuan
Liu, Qing
Wang, Yan
Zhu, Jun
Xu, Yang
Lin, Yang
Peng, Ge
Abstract
A method for judging aging degree of insulation of a cable T-connector based on a dynamic heat source is provided. Specifically, a temperature rise verification test platform of the cable T-connector is constructed, and heating of a cable core is simulated by using a controllable heat source. Influence of different thermal conductivity of an insulation layer on internal and external temperature responses of the cable T-connector is studied, and the temperature rise test platform is constructed to simulate the temperature response of the outer skin of the cable T-connector under the same temperature change of the internal heat source and compare the temperature response of the outer skin of the cable T-connector in different states through experiments, so as to obtain the corresponding relationship between aging degree and heat transfer capacity.
The invention discloses a method and system for detecting and repairing sun glint in UAV optical RGB ocean image, introduces a sun glint attention module, and constructs a semantic segmentation network model based on attention mechanism. The sun glint region is segmtioned by semantic segmentation network model based on attention mechanism, and the optical flow field of high-resolution UAV optical RGB ocean image is extracted by RAFT optical flow estimation network. sun glint region and optical flow field are used for optical flow propagation to repair the sun glint in UAV optical RGB ocean images and restore the real benthic image features.
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 10/60 - Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
G06V 20/17 - Terrestrial scenes taken from planes or by drones
33.
CARBON MATERIAL GRAPHITE CRYSTALLIZATION AND GROWTH METHOD AND APPLICATION THEREOF
11-Y, and a molten salt M-X, a non-graphite carbon material is converted into graphite-structured carbon, or the size of the graphite-structured carbon is increased. The method involves a simple process, requires a simple device, has a low reaction temperature, short reaction time, low costs and high yield, and facilitates mass operation. Products may be nanometer- and micrometer-scale graphite sheets, nanometer- and micrometer-scale fibers and the like, and have wide prospects for application in the fields such as structural materials, energy storage, catalysis, adsorption and separation.
Provided are a similar material for a rock slope model test under water-rock interaction, and a preparation method and use thereof. The similar material is prepared from raw materials including the following components: an iron powder, a quartz sand, a barite powder, a gypsum, glycerin, water, a gypsum retarding agent, and a dispersible polymer powder. Further, the method for preparing the similar material for a rock slope model test under water-rock interaction is also provided.
C04B 24/06 - Carboxylic acidsSalts, anhydrides or esters thereof containing hydroxy groups
C04B 28/14 - Compositions of mortars, concrete or artificial stone, containing inorganic binders or the reaction product of an inorganic and an organic binder, e.g. polycarboxylate cements containing calcium sulfate cements
C04B 40/00 - Processes, in general, for influencing or modifying the properties of mortars, concrete or artificial stone compositions, e.g. their setting or hardening ability
C04B 111/00 - Function, property or use of the mortars, concrete or artificial stone
35.
METHOD AND DEVICE FOR DETERMINING DAILY PEAK LOAD REGULATION CAPACITY OF HYDROPOWER STATION
A method and device for determining a daily peak load regulation capacity of a hydropower station are provided. The method includes: defining a concept of the daily peak load regulation capacity and setting two schemes, namely, finding an amplitude according to time and finding time according to an amplitude; distinguishing constraint conditions for the hydropower station in different periods; according to actual operation of the hydropower station, setting a daily average inflow and a daily initial water level, and determining a typical daily load process of peak load regulation of the hydropower station by analyzing an actual daily load of a power grid in a period; setting a peak load duration or a peak load regulation amplitude during typical load operation of the hydropower station; iteratively calculating a maximum peak load regulation amplitude or a maximum duration under this boundary condition to obtain the daily peak load regulation capacity.
H02J 13/00 - Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the networkCircuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
H02J 3/00 - Circuit arrangements for ac mains or ac distribution networks
36.
THE INSULATING GAS MIXTURE FOR REPLACING SF6, AS WELL AS ITS FORMULATION METHOD AND APPLICATION
The invention relates to an insulating gas mixture for replacing SF6 gas as well as its formulation method and application. The insulating gas mixture is composed of a fluorocarbon gas and a helium gas, and the formulation method includes filling the fluorocarbon gas and the helium gas in a vacuum-sealed container.
H01F 27/32 - Insulating of coils, windings, or parts thereof
H01B 3/56 - Insulators or insulating bodies characterised by the insulating materialsSelection of materials for their insulating or dielectric properties mainly consisting of organic substances gases
37.
AIRBORNE LiDAR POINT CLOUD FILTERING METHOD DEVICE BASED ON SUPER-VOXEL GROUND SALIENCY
An airborne LiDAR point cloud filtering method based on super-voxel ground saliency is provided. The method begins by denoising the input LiDAR point cloud, employing a boundary-preserving TBBP super-voxel algorithm for super-voxel segmentation. The super-voxels are categorized into scanning bands in N directions based on their centroid coordinates. Subsequently, each direction's scanning bands are sorted, segmented, and their saliency values are computed. Utilizing saliency values as coordinating factors, an energy function for the optimal filtering plane is constructed and minimized, leading to the determination of the optimal segmentation plane. Ground and non-ground points are classified based on the segmentation plane, thereby establishing the point cloud filtering results. The use of super-voxel-based saliency calculation in this invention enables preliminary vertical filtering of target point clouds, addressing the challenge of misclassifying point clouds with concave structures as ground points.
G06V 10/46 - Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]Salient regional features
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
38.
IGBT COLLECTOR CURRENT ONLINE DETECTION DEVICE AND METHOD BASED ON GATE CURRENT
This invention relates to the field of power electronics, specifically addressing an IGBT (Insulated Gate Bipolar Transistor) collector current online detection device and method based on gate current. The detection method involves processing the IGBT gate drive waveform using a Miller plateau detection module to extract the Miller plateau region in the gate drive waveform. The IGBT gate current integration module extracts the voltage across the IGBT gate drive resistor, integrates the voltage waveform during the Miller plateau period, and uses the integration result to characterize the gate current during the Miller plateau. Three sets of integrator output voltages and collector currents under different load currents are measured, and a second-order polynomial fitting is performed internally in the DSP (Digital Signal Processor) to derive a function representing the collector current as a function of the integrator output voltage.
Provided are compositions and methods for effective delivery of polynucleotides into the nuclei of cells through electroporation. A new buffer system is provided that facilitates the delivery with greatly reduced cell toxicity. The buffer may include succinate, mannitol, a sugar, glutamine or an analog, and an antioxidant. Also provided are methods that are particularly suitable for delivering an RNA or protein into a cell by electrophoresis in a solution having an osmotic pressure greater than 310 mOsmol/kg.
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.
G01S 7/41 - Details of systems according to groups , , of systems according to group using analysis of echo signal for target characterisationTarget signatureTarget cross-section
G01S 7/02 - Details of systems according to groups , , of systems according to group
G01S 13/58 - Velocity or trajectory determination systemsSense-of-movement determination systems
41.
Vector stabilizer for power electronic power system
Disclosed are a vector synchronization method and system, the method includes: converting a three-phase instantaneous value of a power grid voltage into a two-phase voltage vector component through employing a power grid voltage vector phase angle at a previous moment; subtracting the d-axis voltage vector component from the power grid vector amplitude to obtain a d-axis voltage component deviation; performing gain and integral operations on the d-axis voltage component deviation to obtain a power grid vector amplitude; performing gain, integral and proportional-integral operations on the q-axis voltage component deviation to obtain a power grid voltage vector phase angle; respectively converting the d-axis voltage component deviation and the q-axis voltage component deviation into a q-axis current compensation signal and a d-axis current compensation signal of the grid-connected inverter; and the small interference stability of the grid-connected inverter is enhanced by adopting d-axis and q-axis current compensation signals of the grid-connected inverter.
The present disclosure provides an accurate inversion method and system for aboveground biomass of urban vegetations considering vegetation types. The method includes: based on different research regions, performing corresponding biomass calculation after plot sampling; preprocessing high-resolution optical data and space-borne photon counting LiDAR data, performing fine extraction on urban vegetation information, extracting spectral features of high-resolution remote-sensing image data and constructing an optical-biomass inversion sub-model, extracting vegetation height data of the space-borne photon counting LiDAR data and constructing a space-borne LiDAR-biomass inversion sub-model; with the support of the information on fine classification on the urban vegetation types, performing integration on the biomass inversion sub-models; based on the sample plot biomass data of the urban vegetations, obtaining an integrated inversion model fusing the horizontal information and the three-dimensional structure information of the urban land surface vegetations by training to perform accurate mapping of the aboveground biomass of the urban vegetations.
Provided herein is a laser processing system integrated with an MBE device, including an MBE growth chamber, a sample table, an optical path mechanism, a heat insulation mechanism, and a cooling mechanism. An opening is formed in a side of the MBE growth chamber. The sample table is fixed in the MBE growth chamber, corresponds to a position of the opening, and is used for placing a substrate sample material. The optical path mechanism is relatively arranged on a side of the MBE growth chamber, and the optical path mechanism is provided with a light-emitting end. A side of the light-emitting end penetrates through the opening of the MBE growth chamber, extends into the MBE growth chamber, and is spaced apart from the sample table. The optical path mechanism is sealedly connected to the opening of the MBE growth chamber. By integrating the optical path mechanism within the MBE device and utilizing direct laser writing, the system facilitates close-range processing of the sample, enhancing the laser's focusing capability and effectively ensuring the precision and quality of laser processing.
The monitoring method for wheat kernel moisture content in-field based on PlanetScope satellite imagery in this disclosure comprises: (1) data collection and database establishment; (2) feature engineering: constructing various broad-band indices on the original bands provided by PlanetScope to expand the feature domain, and evaluate the importance of each feature to rank the features based on the comprehensive importance calculated by permutation importance based on regressors; (3) model construction: progressively adding the spectral features one by one as independent variables to the GBDT model according to the ranking results, and screen out the optimal spectral feature domain and inversion model for wheat kernel moisture content; (4) wheat kernel moisture content mapping. The disclosure utilizes machine learning inversion models based on spectral features and PlanetScope satellite imagery to obtain the wheat kernel moisture content at any position of the target farmland.
Provided are compositions and methods for treating cancer, infection or Parkinson's disease. An example treatment entails administration of an agent that inhibits the biological activity or expression of MARCH5 (membrane-associated ring finger 5) or SHP2 (src homology region 2 domain-containing phosphatase-2) or increases the biological activity or expression of USP5 (ubiquitin specific peptidase 5), optionally in combination with a common gamma-chain cytokine and/or a PD-1 inhibitor or a PD-L1 inhibitor.
The present disclosure provides a multi-modal method for classifying a thyroid nodule based on ultrasound (US) and infrared thermal (IRT) images. Based on ultrasound and infrared thermal images and in combination with a multi-modal learning method, the present disclosure provides an adaptive multi-modal hybrid (AmmH) model which is composed of three parts: an intra-modal hybrid encoder (HIME), an adaptive cross-modal encoder (ACME), and a multilayer perceptron (MLP) head. The HIME is capable of modeling a global feature while extracting a local feature. The ACME is capable of customizing personalized modality-weights according to different cases and performing information interaction and fusion of inter-modal features. The MLP head classifies a fused feature obtained. The method enables the AmmH model to automatically classify a thyroid nodule of a subject based on ultrasound and infrared thermal images of the subject, providing a doctor with an objective and accurate classification result to assist diagnosis.
G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
G06V 10/32 - Normalisation of the pattern dimensions
G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 10/778 - Active pattern-learning, e.g. online learning of image or video features
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 20/70 - Labelling scene content, e.g. deriving syntactic or semantic representations
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
47.
COMPOSITION INCLUDING A METAL-ORGANIC FRAMEWORK (MOF) NANOPARTICLE FOR ORAL PROTEIN ADMINISTRATION
A composition can comprise a metal-organic framework (MOF) nanoparticle for oral protein administration, wherein the MOF comprises a nano-scale acid-resistant MOF; a small molecular protein/polypeptide drug and a targeting molecule, wherein the MOF is loaded with the small molecular protein/polypeptide; and targeting molecules, wherein a surface of the MOF is coated with the targeting molecules.
A61K 9/00 - Medicinal preparations characterised by special physical form
A61K 47/55 - Medicinal preparations characterised by the non-active ingredients used, e.g. carriers or inert additivesTargeting or modifying agents chemically bound to the active ingredient the non-active ingredient being chemically bound to the active ingredient, e.g. polymer-drug conjugates the non-active ingredient being a modifying agent the modifying agent being an organic compound the modifying agent being also a pharmacologically or therapeutically active agent, i.e. the entire conjugate being a codrug, i.e. a dimer, oligomer or polymer of pharmacologically or therapeutically active compounds
A61K 47/64 - Drug-peptide, drug-protein or drug-polyamino acid conjugates, i.e. the modifying agent being a peptide, protein or polyamino acid which is covalently bonded or complexed to a therapeutically active agent
A61K 47/69 - Medicinal preparations characterised by the non-active ingredients used, e.g. carriers or inert additivesTargeting or modifying agents chemically bound to the active ingredient the non-active ingredient being chemically bound to the active ingredient, e.g. polymer-drug conjugates the conjugate being characterised by physical or galenical forms, e.g. emulsion, particle, inclusion complex, stent or kit
48.
Oral care composition, and preparation method and application thereof
The present disclosure provides an oral care composition and a preparation method, and an application thereof. The composition includes: a drug-loaded micelle, wherein the drug-loaded micelle includes a polymer micelle and an enamel restoration drug physically wrapped in the polymer micelle, and the polymer micelle is micelle particles formed by a water-soluble polymer with a structure shown by Formula I in an aqueous solution with presence of tannic acid and the micelle particles have a shell connected to a salivary protein polypeptide through chemical bonds. The oral care composition in the present disclosure enables the salivary protein polypeptide to adhere to the surfaces of teeth so as to open the borate ester bond between the tannic acid and the water-soluble polymer in an acidic environment generated by the dental caries and release the tannic acid and sodium fluoride, thus achieving the purpose of preventing dental caries and restoring tooth defects.
A61K 47/34 - Macromolecular compounds obtained otherwise than by reactions only involving carbon-to-carbon unsaturated bonds, e.g. polyesters, polyamino acids, polysiloxanes, polyphosphazines, copolymers of polyalkylene glycol or poloxamers
A61K 47/64 - Drug-peptide, drug-protein or drug-polyamino acid conjugates, i.e. the modifying agent being a peptide, protein or polyamino acid which is covalently bonded or complexed to a therapeutically active agent
A61P 1/02 - Stomatological preparations, e.g. drugs for caries, aphtae, periodontitis
The invention provides a method, apparatus, and storage medium for reconstructing three-dimensional models of buildings based on missing point cloud data. The method includes integrating image-based point cloud generation, neural network techniques, and skeleton line extraction methods, offering a novel approach to handling missing point cloud data. The generation of point cloud data is achieved using principles of Structure from Motion based on video or panoramic image data. The point cloud is sampled and segmented using a region growing algorithm. A neural network based on PointNet is constructed, utilizing cross-entropy loss functions to assess the missing points in the point cloud. For mapping high-confidence point clouds from sampled points, Truth Points is employed to complete the entire process of real-world three-dimensional reconstruction. The integration of images into the three-dimensional scene is achieved with strict geometric relationships.
Provided are compositions and methods useful for inserting a larger nucleic acid fragment to a target genome sequence. The editing system employs a pair of pegRNA which, by virtue of their targeting nearby genomic sites and having sequences complementary to each other, collectively form a template for inserting a large exogenous sequence to the target genomic locus.
The present disclosure describes compositions and methods for treating cancers such as acute myeloid leukemia (AML), in particular relapsed and refractory AML. The method entails administering to the patient an antibody or a chimeric antigen receptor (CAR)-expressing immune cell targeting a molecule such as CD33, CD123, CD117 or CLL-1 following, or concurrently with, transplanting to the patient an engineered stem cell expressing the same molecule but with a mutation disrupting the epitope to the antibody or CAR. Due to the mutation, the engineered stem cell, unlike endogenous hematopoietic cells, is not targeted by the therapy and thus can supply the patient with functional hematopoietic cells and antigens.
The present disclosure provides an adaptive atmospheric correction method of hyperspectral satellite based on prior ground object spectral matching. The method includes: establishing an adaptive atmospheric parameter retrieval algorithm of hyperspectral satellite data; based on the estimation algorithm of the integrated atmospheric column water vapor content, using a function between a linear regression band ratio and a water vapor content for estimation; in the aerosol optical depth estimation method of the hyperspectral data, using the rich spectral information of the hyperspectral data to perform AOD iterative estimation with the ground object spectral library as prior knowledge in combination with spectral matching, and establishing an atmospheric correction algorithm combining with an MODTRAN radiative transfer model. The method is applicable to hyperspectral data characteristics and has high accuracy; and without depending on external auxiliary data, atmospheric correction can be completed automatically.
Based on ICESat-2 high-resolution data, the disclosure proposes a method for mapping tree height. The method includes acquiring ICESat-2 LiDAR data, airborne LiDAR data, Sentinel-2 imagery data, and ancillary data within the selected time and target area; preprocessing the Sentinel-2 imagery to calculate spectral feature parameters; performing photon-scale calibration on ICESat-2 LiDAR data, and combining with airborne LiDAR data for spatial-scale calibration to obtain tree height feature parameter; preprocessing the ancillary data and calculating terrain feature parameters and climate feature parameters; inputting the spectral feature parameters, terrain feature parameters, and climate feature parameters as independent variables, and the tree height feature parameter as the dependent variable into a random forest regression model to establish a forest tree height inversion model; and utilizing the forest tree height inversion model to generate forest tree height map at a resolution of 20 meters within the target area.
A spectroscopy and artificial intelligence-interaction serum analysis method includes: collecting bulk SERS spectral data of clinical serum samples, performing dimension reduction on the spectral data by using a covariance matrix to obtain spectral different peak positions of cancer patients and normal individuals, and performing spectral data processing and algorithm identification by using an svm model of an artificial intelligence algorithm to obtain a cancer identification rate. Compared with the conventional serum analysis method, the spectroscopy and artificial intelligence-interaction serum analysis method requires no antibody-antigen or other biological specificity modification processes, and the serum of cancer patients and normal individuals can be identified more cheaply, rapidly and accurately. Also the different peak positions in SERS spectra of a large amount of serum samples can be located, which provides an entirely novel detection and analysis method at a molecular bond energy level for the field of liquid biopsy of clinical cancers.
Use of a novel editing tool CeCas12a-A169R-F843L in gene editing. The CeCas12a-A169R-F843L is a mutant of CeCas12a, and the amino acid sequence thereof is set foth in SED ID NO. 1.
Provided in the present invention is a position recognition method for fusing a point cloud map, a motion model and a local feature. The proposed method overcomes the problem of position recognition in a large-range dynamic environment. The present invention can effectively overcome the effects of changes in illumination, etc., while reducing system costs without the need for an artificial mark or an external signal. In the present invention, a vehicle motion model is innovatively added to position recognition, such that the problem of awareness confusion is effectively solved. Only a multi-line LiDAR is used as the sole measurement sensor and a local search result is used as an observation model, such that a new line of thought is provided for a data fusion scheme based on Kalman filtering. A point cloud map is combined with a local feature, such that a search space is significantly reduced, the excellent operation efficiency can still be achieved with limited computing resources, and the orderly progress of other modules of a system is guaranteed. In addition, the position recognition performance in the present invention is not affected by trajectory length or operation time, such that problems such as target shielding can be overcome.
A hypothermic oxygenated perfusion solution for repairing kidney injury and use thereof belongs to the technical field of medical treatment. The hypothermic oxygenated perfusion solution is an organ preservation solution carrying carbon monoxide-releasing molecules. The hypothermic oxygenated perfusion solution can significantly increase the perfusion flow of the kidney, reduce the intrarenal resistance and significantly improve the histopathological integrality. The hypothermic oxygenated perfusion solution is provided for specifically repairing the kidney from donation after circulatory death donors, and has a huge application prospect for clinical transformation.
WUHAN UNIVERSITY (ZHAOQING) INSTITUTE OF RESOURCES AND ENVIRONMENTAL TECHNOLOGY (China)
Inventor
Hou, Haobo
Zeng, Qingyuan
Li, Jiahao
Zhou, Min
Zeng, Tianyu
Chen, Jiaao
Abstract
A cerium oxide sulfur-doped carbon aerogel microsphere, a preparation method therefor and an application thereof, which belong to the technical field of heavy metal wastewater treatment. A water phase containing a phenolic monomer, trithiocyanuric acid, an aldehyde monomer and a catalyst is mixed with an oil phase containing a surfactant, and then a polymerization reaction is carried out under stirring. Once the polymerization reaction is completed, solid-liquid separation, drying and carbonization treatments are carried out to obtain a sulfur-doped carbon aerogel microsphere. Subsequently, cerium oxide is loaded by means of a hydrothermal reaction, thereby obtaining a cerium oxide-loaded sulfur-doped carbon aerogel microsphere. The method has the advantages of mild reaction conditions, a simple operation, low equipment investment, low operation costs, etc. The obtained cerium oxide-loaded sulfur-doped carbon aerogel microsphere is used for adsorbing heavy metals such as antimony in a water body, has the characteristics of high adsorption capacity, high speed, etc., and has excellent industrial application prospects.
B01J 20/20 - Solid sorbent compositions or filter aid compositionsSorbents for chromatographyProcesses for preparing, regenerating or reactivating thereof comprising inorganic material comprising free carbonSolid sorbent compositions or filter aid compositionsSorbents for chromatographyProcesses for preparing, regenerating or reactivating thereof comprising inorganic material comprising carbon obtained by carbonising processes
B01J 20/06 - Solid sorbent compositions or filter aid compositionsSorbents for chromatographyProcesses for preparing, regenerating or reactivating thereof comprising inorganic material comprising oxides or hydroxides of metals not provided for in group
C12N 15/00 - Mutation or genetic engineeringDNA or RNA concerning genetic engineering, vectors, e.g. plasmids, or their isolation, preparation or purificationUse of hosts therefor
60.
THERMOELECTRIC ARRAY DISPLAY AND MANUFACTURING METHOD THEREOF
A thermoelectric array display and a manufacturing method thereof are provided. The thermoelectric array display includes at least a first pixel, where the first pixel includes a bottom electrode, a P-type thermoelectric leg, an N-type thermoelectric leg, and a top electrode; the P-type thermoelectric leg is arranged on the bottom electrode; and the P-type thermoelectric leg is connected in series to the N-type thermoelectric leg by the top electrode. The thermoelectric array display has strong concealment of information transmission, can effectively reduce heat generation of a device, and can implement long-distance signal transmission.
H10N 10/17 - Thermoelectric devices comprising a junction of dissimilar materials, i.e. devices exhibiting Seebeck or Peltier effects operating with only the Peltier or Seebeck effects characterised by the structure or configuration of the cell or thermocouple forming the device
A surface water quality monitoring method based on a high spatial resolution satellite includes: step 1. building standard surface water quality pools by mixing natural water bodies with clean water in different proportions to obtain surface water quality data; step 2. obtaining high spatial resolution remote sensing images for processing; step 3. identifying remote sensing bands with higher correlation through correlation analysis by presetting ratio values of remote sensor data bands and the standard surface water quality pools; step 4. building a water quality parameter retrieval model, and comparing and retrieving the remote sensing bands with higher correlation and the surface water quality data to obtain water quality data; and step 5. identifying abnormal points of the water quality based on the water quality data and water quality data threshold of the surface water.
The disclosure provides an indirect method for measuring gravity based on the synthesis of gravitational forces generated by celestial bodies, gravitational forces generated by the Earth and other inertial forces, resulting in changes in the gravitational acceleration of the position to be measured. By regularly monitoring the direction change of gravitational acceleration of the position, the gravity measurement result of such position is deduced. When monitoring the direction change of gravitational acceleration, measure the direction of gravity at each moment, and obtain observation data on the direction change of gravitational acceleration. According to its own coordinates, the approximate value of the acceleration vector caused by the current position of the Earth is obtained as the initial solution, and the estimation data of gravity acceleration direction change is calculated, combined with the observation data of gravity acceleration direction change, and the gravity measurement result is obtained by iterative linearization.
A method and system for fingerprint positioning based on 5G multi-beam downlink signals, includes: extracting multi-beam SSB from 5G downlink signals, and obtaining multi-beam SSS signal and DM-RS signal from multi-beam SSB; calculating multi-beam reference signal received power RSRP based on multi-beam SSS signal and DM-RS signal; calculating the RSSI of 5G downlink synchronization channel based on multi-beam SSB autocorrelation, and calculating the multi-beam reference signal received quality RSRQ based on multi-beam RSRP and RSSI; stacking the multi-beam RSRP and RSRQ to form multi-beam fingerprint features; inputting multi-beam fingerprint characteristic into neural networks, and the neural networks output positioning results.
H04W 64/00 - Locating users or terminals for network management purposes, e.g. mobility management
G01S 5/02 - Position-fixing by co-ordinating two or more direction or position-line determinationsPosition-fixing by co-ordinating two or more distance determinations using radio waves
64.
PRECISE ION IMPLANTATION TYPE MODIFIED GEOPOLYMER AND PREPARATION METHOD THEREOF
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.
C04B 28/00 - Compositions of mortars, concrete or artificial stone, containing inorganic binders or the reaction product of an inorganic and an organic binder, e.g. polycarboxylate cements
C04B 40/00 - Processes, in general, for influencing or modifying the properties of mortars, concrete or artificial stone compositions, e.g. their setting or hardening ability
65.
BRIDGED COLUMNAR ARRAY STRUCTURE FOR BIOMIMETIC STRUCTURAL ADHESIVE AND PREPARATION METHOD
The present application discloses a bridged columnar array structure for a biomimetic adhesive, and a preparation method. In the present technical solution, bridges are connected between adjacent columns containing supporting layers, and directions of the bridges are arranged according to certain rules. The presence of this type of structure improves the strength of the columns, reduces stress concentrations at contact interfaces, and makes the columns resistant to lying flat. When subjected to lateral friction, this is more conducive to maintaining the stability of the columns, reducing the bending of the columns, and improving the adhesion and friction of the columns. More importantly, by means of selecting directional connections, the biomimetic structural adhesive can implement anisotropic friction properties.
Disclosed in the present application are a laterally excited bulk acoustic resonator with phononic crystals, and a preparation method for same. The laterally excited bulk acoustic resonator comprises an interdigital electrode, a piezoelectric layer and a phononic crystal substrate, which are sequentially arranged in a stacked manner, wherein a groove is formed inside the phononic crystal substrate, and a phononic crystal scatterer is deposited in the groove. In the present technical solution, by means of providing a phononic crystal substrate on a piezoelectric layer, forming a groove inside the phononic crystal substrate, and depositing a phononic crystal scatterer in the groove, the heat conduction performance and the mechanical reliability of a device can thus be improved, and performance similar to that of existing devices can be achieved in terms of quality factor, electromechanical coupling coefficient, etc.
H03H 3/02 - Apparatus or processes specially adapted for the manufacture of impedance networks, resonating circuits, resonators for the manufacture of electromechanical resonators or networks for the manufacture of piezoelectric or electrostrictive resonators or networks
67.
METHOD, APPARATUS, COMPUTER DEVICE AND STORAGE MEDIUM FOR THREE-DIMENSIONAL RECONSTRUCTION OF INDOOR STRUCTURE
The disclosure provides a method, an apparatus and a computer device for three-dimensional reconstruction of an indoor structure based on a two-dimensional video, wherein the method comprises: generating a color point cloud of three-dimensional structure of a house by using the video data of the house; regularizing the color point cloud of the house; extracting a plan of the house based on the color point cloud of the house; and constructing a three-dimensional model of the house in real life. The disclosure realizes autonomous and rapid construction of a three-dimensional model of a house by the general public, and realizes a low-cost, efficient and convenient three-dimensional visual digital representation of the house.
Compositions and methods are provided for simple, instrument-free and sensitive methods that enable rapid, point-of-care detection of nucleic acid molecules of interest. This is based on a surprising discovery that the relative efficiencies of amplification and CRISPR-based cleavage and detection can be tuned to favor amplification until sufficient amplified products are generated to enable detection. Example approaches include design of guide RNA and primers to target nonoptimal PAM sequences, or sequence-engineering Cas nucleases to reduce activities informing a ribonucleoprotein with the guide RNA or binding to or cleaving the substrate nucleic acid.
The present invention discloses a method and system for multicarrier signal tracking based on deep learning and high precision positioning. Using the data characteristics of S-curve, and using S-curve which contains multipath signals as feature data for training deep learning networks under different signal-to-noise ratios. The delay regression results of receiving signal can be directly obtained by the S-curve of real-time receiving signal and the pre-trained network. The motivation of this method is to fully utilize the advantages of deep learning networks in accurately regressing complex problems with a large amount of data, fundamentally solving the impact of multipath signals on the delay estimation of the main path signal in traditional software defined receivers, extracting the corresponding relationship between the delay of main path and S-curve under the influence of different signal-to-noise ratios and different multipath signals.
1233; Step 2, acquiring a high-spatial-resolution remote sensing image, and processing same; Step 3, performing correlation analysis on remote sensing image data wave bands and a preset proportion value for the surface water quality standard pool to identify a remote sensing wave band having high correlation; Step 4, establishing a water quality parameter inversion model, and performing comparison inversion on the remote sensing wave band having high correlation and the surface water quality data to obtain water quality data; and Step 5, obtaining a water quality anomaly point on the basis of the surface water quality data and a water quality data threshold value.
The present application relates to the technical field of mesoporous materials, and in particular to an electrochemical preparation method for a mesoporous silica material. The electrochemical preparation method for the mesoporous silica material provided in the present application comprises the following steps: mixing a template agent with water for dissolution to form a homogeneous and transparent template agent solution; adding an electrolyte into the template agent solution and stirring for dissolution to form a homogeneous and transparent first mixed solution; adding a silicon precursor into the first mixed solution and stirring for dissolution to obtain a second mixed solution; separately inserting a cathode and an anode of an electrode into the second mixed solution, introducing an electric current for reaction, interrupting the electric current after the reaction is completed, and filtering to obtain a solid product; and removing the template agent from the solid product to obtain the mesoporous silica material. According to the present application, electricity is used as a green and efficient catalyst, the method is simple and easy to operate, automatic production is facilitated, and the corrosion of an instrument device by traditional strong acid and strong alkali methods is avoided.
C01B 33/18 - Preparation of finely divided silica neither in sol nor in gel formAfter-treatment thereof
C01B 37/00 - Compounds having molecular sieve properties but not having base-exchange properties
C01B 39/48 - Other types characterised by their X-ray diffraction pattern and their defined composition using at least one organic template directing agent
A power transformer fault diagnosis method based on a stacked time series network, includes: collecting gas-in-oil data of a transformer in each substation; performing z-score normalization on the collected data to obtain a normalized matrix; dividing the normalized matrix into a training set and a test set in proportion; constructing a stacked time series network based on Xgboost and a bidirectional gated neural network, and inputting the training set and the test set to perform network training; and normalizing real-time collected data to obtain trainable data to predict a fault and update network parameters. The gas-in-oil data is predicted by using Xgboost and a gated neural network, obtains prediction data of a power transformer from two time series networks by using a meta learner, and obtains a fault diagnosis result of the transformer by using a Softmax layer. The neural network has accurate fault diagnosis performance and stable robustness.
A pulp diagnosis-treatment assistance method and system are disclosure, and relates to the field of medical device technologies. The method includes: based on CBCT three-dimensional reconstruction data and three-dimensional model data of an oral scanner corresponding to an oral cavity of a patient, obtaining integrated and registered three-dimensional model data; obtaining a digital scanning image of an oral microscope corresponding to the oral cavity; based on the CBCT three-dimensional reconstruction data corresponding to the oral cavity of the patient and a pre-surgical designed surgical path, obtaining position information of surgical appliance and relative position information of surgical zone; based on the integrated and registered three-dimensional model data, the digital scanning image of the oral microscope, the position information of the surgical appliance, and the relative position information of the surgical zone, obtaining a diagnosis-treatment assistance image, and based on the diagnosis-treatment assistance image. performing pulp diagnosis and treatment assistance.
A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 34/20 - Surgical navigation systemsDevices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
A61B 90/00 - Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups , e.g. for luxation treatment or for protecting wound edges
The present invention provides a long-term streamflow forecast method and system based on process-data synergic drive. The long-term streamflow forecast method includes: step 1, collecting data; step 2, constructing a VIC model; step 3, performing interpolation, bias correction, and disaggregation to obtain daily data; step 4, by using climate model forecasts, driving the VIC model; step 5, constructing an improved VIC model by selecting grid cells from the distributed hydrological model, among which the series of monthly soil moisture forecasts in the third layer in all grid cells are treated as independent variables and the monthly streamflow of the outlet hydrological station of the studied watershed is treated as the dependent variables; step 6, driving the improved VIC model to perform the gridded runoff yield calculation of a full time period; step 7, forming a candidate predictor set; step 8, screening predictors and training a deep learning model to obtain a composite model, and performing long-term streamflow forecast.
A robust on-orbit geometric calibration (GC) method based on the rational polynomial coefficient (RPC) model for spaceborne segmented linear-array camera is proposed. Through a series of processing steps, including obtaining reliable ground control point (GCP) observations based a priori gross error elimination, constructing the adjustment model for GC parameters, GC for absolute geometric distortion, GC for relative geometric distortions among segmented charge-coupled devices (CCDs), and the correction for the created bias field-of-view (FOV) distortion, this invention is able to achieve robust GC for camera distortion, as well as accurate geometric splicing and registration of segmented CCDs under the same geometric benchmark.
A blockchain-based general auction method and a storage medium, relating to the technical field of blockchain applications. The method comprises the steps of: a preparation link: a key is initialized; a registration link: a blockchain for auction is established, and bidders register on the chain; an auction link: after the registration is completed, an auction is started within a fixed time period, and according to different auction forms, a processor calculates a winner of the auction and corresponding accounts payable, and publishes the winner of the auction and the corresponding accounts payable as an auction result; and a transaction link: on the basis of the auction result, a buyer and a seller complete a money and goods transaction by means of a smart contract, and redeem deposits. According to the method, a general auction framework is deployed on a blockchain network, and the problems of privacy, fairness, and efficiency are solved; and a deposit mechanism and a payment mechanism based on smart contracts efficiently guide fair execution of the transaction process.
CHINA RAILWAY SIYUAN SURVEY AND DESIGN GROUP CO., LTD. (China)
WUHAN UNIVERSITY (China)
SHENYANG ALL –POWERFU L SCIENCE AND TECHNOLOGY STOCK CO., LTD. (China)
Inventor
Wang, Yuliang
Zhang, Kun
Zhang, Hao
Guang, Zhenxiong
Dong, Yunsong
Yin, Qin
Wu, Shijing
Qiu, Shaofeng
Zhou, Mingxiang
Li, Jiaqi
Long, Xinping
Chen, Ping
Liu, Hui
Zhang, Junling
Peng, Fangjin
Li, Chengyang
You, Penghui
Li, Deng
Zhao, Lei
Li, Shuo
Yang, Liu
Abstract
Disclosed is steel rail grinding equipment based on high-pressure water jet technology, comprising a flatbed vehicle (1), a water jet grinding unit (2) provided inside the flatbed vehicle (1), a rail measurement unit (5), a grinding control terminal (6), and a hydraulic driving device (9). The hydraulic driving device (9) comprises a speed sensor (911) and a position sensor (912); the water jet grinding unit (2) comprises a lifting/lowering mechanism (21) connected to the flatbed vehicle (1), grinding water jet cutters (22) connected to the lifting/lowering mechanism (21), and a water flow pressure regulating device (23) and an abrasive feeding device (24) separately communicated with the grinding water jet cutters (22). According to the present invention, a central controller controls the flatbed vehicle to move to a grinding operation coordinate point in real time, and according to different positions, different angles, different corrugations, and different profiles of steel rails, the water jet grinding unit performs automatic position and attitude regulation along the arc of a mounting base for grinding.
The present invention belongs to the field of optical technology, disclosing a quadrilateral common-path time-modulated interferometric spectral imaging device and method. The present invention sets up a moving mirror scanning mechanism in a quadrilateral common path interferometer for generating optical path differences that vary with time, so that the quadrilateral common-path time-modulated interferometric spectral imaging device operates in the staring observation mode. The invention can make the quadrilateral common-path time-modulated interferometric spectral imaging device not only retain the advantages of common optical path spectroscopic technology, but also obtain high spectral resolution.
A semantics-based high resolution reconstruction method of a nighttime light remote sensing image includes: constructing a sample data set; the sample data set includes a plurality of data groups, and each data group includes a LR NTL image, and a HR NTL image and light semantics information consistent in spatial position with the LR NTL image; constructing a reconstruction model; performing training and validation on the reconstruction model by using the sample data set to obtain an optimized reconstruction model; and taking a to-be-reconstructed LR NTL image and light semantic information corresponding to the to-be-reconstructed LR NTL image as an input of the optimized reconstruction model, and outputting, by the optimized reconstructed model, a HR NTL image obtained through resolution reconstruction.
G06T 3/4076 - Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution using the original low-resolution images to iteratively correct the high-resolution images
G06F 18/214 - Generating training patternsBootstrap methods, e.g. bagging or boosting
G06T 3/4038 - Image mosaicing, e.g. composing plane images from plane sub-images
G06T 3/4046 - Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
G06T 3/4053 - Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution
A flood risk prediction method includes: collecting basic meteorological hydrological data of a basin by using a data collection and storage box; calibrating a basin hydrological model and a machine learning model; obtaining a meteorological simulation series under M groups of climate change scenarios and driving the basin hydrological model and the machine learning model to simulate a basin hydrological process under a future scenario; establishing a water and heat coupling balance equation of the basin to obtain annual average underlying surface feature parameters of the basin; extracting feature values of a flood duration and a flood volume and with the feature parameters as co-variates, establishing a joint probability distribution function; obtaining a joint return period of the flood duration and the flood volume; based on a dataset of the shared socioeconomic pathway, deriving a social economic exposure degree of future flood risk increase.
Disclosed in the present invention are a hangtaimycin derivative, a preparation method therefor, and the use thereof. The hangtaimycin derivative is prepared by performing fermentation in an SFMR culture medium by using Streptomyces spectabilis CCTCC M2017417 or a genetically engineered strain thereof and further performing separation, purification and alcoholysis on an extract. It is found by means of screening that the hangtaimycin derivative has excellent anti-inflammatory, analgesic, anti-tumor, liver injury-preventing, cell membrane-protective and drug addiction-preventing and treating activities. The present invention thus provides a novel lead compound for development of related drugs.
A61P 1/16 - Drugs for disorders of the alimentary tract or the digestive system for liver or gallbladder disorders, e.g. hepatoprotective agents, cholagogues, litholytics
A DC/DC converter fault diagnosis method based on an improved sparrow search algorithm, includes: establishing an simulation module of the converter, selecting a leakage inductance current of a transformer as a diagnosis signal, and collecting diagnosis signal samples under OC faults of different power switching devices of the converter as a sample set; improving a global search ability of a sparrow search algorithm by using a Levy flight strategy; dividing the sample set into a training set and a test set, preliminarily establishing an architecture of a deep belief network, and initializing network parameters; optimizing a quantity of hidden-layer units of the deep belief network by using an improved sparrow search algorithm, to obtain a best quantity of hidden-layer units of the deep belief network; and training an optimized deep belief network obtained based on the improved sparrow search algorithm, and obtaining a fault diagnosis result based on a trained network.
A method for diagnosing transformer fault based on a deep coupled dense convolutional neural network, includes: obtaining datasets of dissolved gas in oil of a transformer in normal and fault states; expanding the datasets by using an adaptive synthetic oversampling method; performing, in a form of a two-dimensional matrix, feature reconstruction on characteristic gas dissolved in the oil; building a transformer fault diagnosis model based on a deep coupled dense convolutional neural network; and dividing an expanded dataset into a training set and a test set, and taking the two-dimensional matrix as an input of the deep coupled dense convolutional neural network and a set label as an output to train the network to obtain a fault diagnosis model. The present disclosure can resolve a problem that a fault diagnosis accuracy rate of the transformer is low due to insufficient and unbalanced fault samples in the dissolved gas in the oil.
Provided are compositions and methods useful for duplicating/amplifying a target fragment on a target DNA sequence such as a genome sequence. The editing system employs a pair of pegRNA which, by virtue of their targeting sites flanking the target fragment, extend the target fragment with reverse transcriptase (RT) templates included in the pegRNA. As the two RT templates at least include portions that are complementary to each other, they can form a duplex region which can then serve as starting point for DNA polymerase to synthesize a new strand for each strand of the target fragment, thereby duplicating the target fragment. Continue this process introduce amplification of this targeted sequence. Alternatively, this process can be done by combination of pegRNA/sgRNA or sgRNA/sgRNA. In the case of sgRNA/sgRNA in a PAM-out position, the RT enzyme and templates are not required.
A method for decoding and encoding network steganography includes: extracting an attention mask of a container image by a convolutional block attention network; extracting two-dimensional image features of a secret image by a feature preprocessing network; splicing the two-dimensional image features and the attention mask of the container image and the secret image in a channel layer, and inputting a spliced image into an encoding network to generate a stego image; inputting the stego image and the container image into a decoding network to respectively obtain a reconstructed secret image and a generated secret image; and constructing a total loss function considering a similarity between the container image and the stego image, a similarity between the secret image and the reconstructed secret image, and a difference between the reconstructed secret image and the generated secret image, and thus performing training on a network model.
A radar includes antennas, a receiving system, a transmitting system, and a short orbit. The short orbit is provided with a receiving system capable of reciprocating motion thereon; or, the short orbit is provided with a transmitting system capable of reciprocating motion thereon; or, the short orbit is provided with both a receiving system and a transmitting system capable of reciprocating motion thereon.
G01S 13/90 - Radar or analogous systems, specially adapted for specific applications for mapping or imaging using synthetic aperture techniques
G01S 7/41 - Details of systems according to groups , , of systems according to group using analysis of echo signal for target characterisationTarget signatureTarget cross-section
CHINA RAILWAY SIYUAN SURVEY AND DESIGN GROUP CO., LTD. (China)
WUHAN UNIVERSITY (China)
SHENYANG ALL-POWERFUL SCIENCE AND TECHNOLOGY STOCK CO., LTD. (China)
Inventor
Wang, Yuliang
Zhang, Kun
Zhang, Hao
Guang, Zhenxiong
Dong, Yunsong
Yin, Qin
Wu, Shijing
Qiu, Shaofeng
Zhou, Mingxiang
Li, Jiaqi
Long, Xinping
Chen, Ping
Liu, Hui
Zhang, Junling
Peng, Fangjin
Li, Chengyang
You, Penghui
Li, Deng
Zhao, Lei
Li, Shuo
Yang, Liu
Abstract
A water jet steel rail fat edge refining system based on gauge measurement, and refining method. The system comprises a travel module (1) arranged on two parallel rails (8), a water tank module (2) arranged on the travel module (1), an abrasive feeding module (3), a pressurizing module (4), a gauge measurement unit (5), a fat edge alignment module (6), a water jet refining module (7) connected to the abrasive feeding module (3), and a control positioning module. The gauge measurement unit (5) is connected to the control positioning module. The refining method comprises the following steps: the travel module (1) realizes real-time movement of the steel rail of which fat edge is refined by the water jet; the gauge measurement unit (5) measures the geometric size of the rail, locates the fat edge of the steel rail, and transmits data thereof to the control positioning module; and the control positioning module controls the fat edge alignment module (6) to be aligned with the position of the steel rail fat edge, and detects the cutting amount of the fat edge and controls the cutting depth of the refining water jet of the water jet refining module (7) according to the steel rail fat edge data, so as to refine the fat edges of switch rails, stock rails and curved rails at turnout switches. The water jet steel rail fat edge refining system based on gauge measurement does not sharply increase the temperature of the steel rails, produces little dust and noise during operation, and achieves high cutting efficiency and accurate control.
Disclosed is an anti-ASGR1 monoclonal antibody and a use thereof. Further disclosed is use of a combination of an ASGR1 inhibitor including the anti-ASGR1 monoclonal antibody and a second lipid-lowering agent in reducing the level of total cholesterol and/or triglyceride in the blood and/or liver and/or in treating and/or preventing cardiovascular diseases. The present invention confirms that the combination of the ASGR1 inhibitor and the second lipid-lowering agent has the effect of synergistically reducing the total cholesterol and triglyceride in the serum and the liver.
C07K 16/28 - Immunoglobulins, e.g. monoclonal or polyclonal antibodies against material from animals or humans against receptors, cell surface antigens or cell surface determinants
A61K 39/395 - AntibodiesImmunoglobulinsImmune serum, e.g. antilymphocytic serum
A61P 9/10 - Drugs for disorders of the cardiovascular system for treating ischaemic or atherosclerotic diseases, e.g. antianginal drugs, coronary vasodilators, drugs for myocardial infarction, retinopathy, cerebrovascula insufficiency, renal arteriosclerosis
CHINA RAILWAY SIYUAN SURVEY AND DESIGN GROUP CO., LTD. (China)
WUHAN UNIVERSITY (China)
SHENYANG ALL –POWERFU L SCIENCE AND TECHNOLOGY STOCK CO., LTD. (China)
Inventor
Zhang, Kun
He, Jie
Zhang, Hao
Guang, Zhenxiong
Dong, Yunsong
Yīn, Qin
Wu, Shijing
Qiu, Shaofeng
Zhou, Mingxiang
Li, Jiaqi
Long, Xinping
Chen, Ping
Liu, Hui
Zhang, Junling
Peng, Fangjin
Li, Chengyang
You, Penghui
Li, Deng
Zhao, Lei
Li, Shuo
Yang, Liu
Abstract
An abrasive water jet grinding system and method based on multi-axis drive control. The system comprises a grinding vehicle (1), a vehicle control system mounted on the grinding vehicle (1), a steel rail surface damage and front and rear profile detection system (2), a grinding servo drive system (3), an ultra-high pressure water treatment system (4), a water jet grinding system (5), a multi-channel grinding pressure and flow control system (6), and a waste water recovery and separation system (7). The water jet grinding system (5) comprises a grinding lifting mechanism (51), grinding performance mechanisms (52), and an abrasive supply mechanism (53), wherein the grinding performance mechanisms (52) on the same side are respectively used for realizing the rough-fine grinding of a steel rail, a three-axis full-servo drive mechanism is arranged on each grinding performance unit (57) of each grinding performance mechanism (52), and a plurality of grinding performance units (57) are controlled to be subjected to high-precision posture and position linkage by the grinding servo drive system (3), so as to fit with a profile of the steel rail, realizing profiling high-precision grinding of the steel rail; in addition, the high-precision multi-channel grinding pressure and flow control system (6) is designed in a channel of the grinding performance units (57), so as to control water pressure and flow of a water jet accurately.
E01B 31/17 - Removing metal from rails, rail joints, or baseplates, e.g. for deburring welds, reconditioning worn rails by grinding
G05B 13/02 - Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
90.
Calculation Method for thickness of inner oxide layer of martensitic heat-resistant steel in steam environment
The present application discloses a calculation method for thickness of inner oxide layer of a martensitic heat-resistant steel in steam environment. The calculation method takes into account the steam temperature, the steam pressure and the operation time, which are the three factors that have significant effects on the thickness of the oxide layer, and with the help of a metal oxidation kinetic model, the formula is mathematically modified by combining a large number of actual operation and laboratory simulation experimental data of the power plant. A calculation method for thickness of inner oxide layer of 9% Cr martensitic heat-resistant steel in steam environment is obtained by using linear fitting and curve fitting, etc.
G01D 1/16 - Measuring arrangements giving results other than momentary value of variable, of general application giving a value which is a function of two or more values, e.g. product or ratio
G01B 21/08 - Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness for measuring thickness
91.
Pedestrian re-identification method based on virtual samples
This invention proposes a pedestrian re-identification method based on virtual samples, comprising following steps: s1) obtaining virtual persons generated by game engine, and generating the virtual samples with person labels by fusing a background of a target dataset and a pose of real persons through a multi-factor variational generation network; s2) rendering the generated virtual samples according to lighting conditions; s3) sampling the rendered virtual samples according to person attributes of target dataset; s4) constructing a training dataset according to virtual samples obtained by sampling to train a pedestrian re-identification model, and verifying identification effect of the trained model. The present invention uses a virtual image generation framework that integrates translation-rendering-sampling to narrow the distribution between virtual images and real images as much as possible to generate virtual samples, and conduct person re-identification model training, which can be effectively and effectively applied to pedestrian datasets in real scenes.
G06V 10/80 - Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
92.
Hyperspectral image classification method based on context-rich networks
Disclosed in the present invention is hyperspectral image classification method based on context-rich networks. The method comprises a training stage and a prediction stage, wherein the training stage comprises image pre-processing, sample selection and network training. Firstly, performing normalization on a hyperspectral image, and then randomly selecting an appropriate proportion of marked samples from each category to generate a label map, and performing training by using the designed network; in the prediction stage, directly inputting the whole image into the trained network and obtaining a final classification result. By means of the present invention, data pre-processing, feature extraction, the process of context-rich information capturing, and classification are taken into comprehensive consideration in the whole flow; and the classification of a hyperspectral image is realized by means of constructing an end-to-end network.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 10/32 - Normalisation of the pattern dimensions
G06V 10/77 - Processing image or video features in feature spacesArrangements for image or video recognition or understanding using pattern recognition or machine learning using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]Blind source separation
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
CHINA RAILWAY SIYUAN SURVEY AND DESIGN GROUP CO., LTD. (China)
WUHAN UNIVERSITY (China)
SHENYANG ALL –POWERFU L SCIENCE AND TECHNOLOGY STOCK CO., LTD. (China)
Inventor
He, Jie
Zhang, Kun
Zhang, Hao
Guang, Zhenxiong
Dong, Yunsong
Wu, Shijing
Yīn, Qin
Qiu, Shaofeng
Zhou, Mingxiang
Li, Jiaqi
Long, Xinping
Chen, Ping
Liu, Hui
Zhang, Junling
Peng, Fangjin
Li, Chengyang
Chen, Rongshun
Li, Deng
Zhao, Lei
Li, Shuo
Yang, Liu
Abstract
A water jet rail grinding car dirt blowing and suction method and system based on image processing, the method comprising: foreign matter detection cameras (63) collecting original surface feature images of a rail and a ballast bed, and then transmitting same to a foreign matter visual processing system; the foreign matter visual processing system performing calibration point extraction and matching on a template image by means of a camera calibration module to obtain calibration parameters; importing the calibration parameters into an image processing module and performing image preprocessing, and performing coordinate transformation restoration on the preprocessed image by means of a calibration parameter matrix; a foreign matter recognition and location module performing detection of foreign matters on the rail on the basis of template matching and genetic algorithm, and acquiring rail foreign matter detection data; a data processing module carrying out storage, search and analysis on the rail foreign matter detection data and generating a dirt blowing and suction solution; and, according to a visual detection algorithm, recognizing and locating foreign matter attachment information of each area, and intelligently controlling the dirt blowing and suction strength of each area, thus achieving self-adaptive cleaning for grinding scraps and dirt on the whole rail.
E01H 8/10 - Removing undesirable matter from rails, flange grooves, or the like, e.g. removing ice from contact rails, removing mud from flange grooves
E01B 31/17 - Removing metal from rails, rail joints, or baseplates, e.g. for deburring welds, reconditioning worn rails by grinding
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G06T 7/80 - Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
G06N 3/12 - Computing arrangements based on biological models using genetic models
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
94.
WATER QUALITY INSPECTION CIRCULATING SYSTEM AND METHOD FOR HIGH-PRESSURE ABRASIVE WATER JET STEEL RAIL GRINDING
CHINA RAILWAY SIYUAN SURVEY AND DESIGN GROUP CO., LTD. (China)
WUHAN UNIVERSITY (China)
SHENYANG ALL –POWERFU L SCIENCE AND TECHNOLOGY STOCK CO., LTD. (China)
JINAN RAIL TRANSIT GROUP CO., LTD. (China)
Inventor
Zhang, Kun
Zhang, Yinlong
Zhang, Hao
Guang, Zhenxiong
Li, Hu
Dong, Yunsong
Wu, Shijing
Yin, Qin
Qiu, Shaofeng
Zhou, Mingxiang
Li, Jiaqi
Long, Xinping
Men, Yanqing
Chen, Ping
Liu, Hui
Zhang, Junling
Peng, Fangjin
Li, Chengyang
Li, Xiaodan
Li, Deng
Zhao, Lei
Li, Shuo
Yang, Liu
Abstract
A water quality inspection circulating system and method for high-pressure abrasive water jet steel rail grinding. The system comprises a mixing and jetting module, an abrasive separation module (23, 20, 15, 14), an abrasive conveying module (17), a water viscosity adjusting module (24, 8, 21) and a control module, wherein the mixing and jetting module is used for grinding a steel rail after mixing an abrasive with a liquid; the abrasive separation module (15) is arranged corresponding to the mixing and jetting module, and is used for collecting a waste liquid after grinding, performing solid-liquid separation on the waste liquid, conveying the separated abrasive to the abrasive conveying module (17), and inputting the separated liquid to the water viscosity adjusting module; the abrasive conveying module is used for conveying an abrasive with specified parameters to the mixing and jetting module; and the water viscosity adjusting module is used for adjusting the concentration of an additive in the liquid which is output by the abrasive separation module. Water and an abrasive are recycled, and the concentration of an additive in the water is kept unchanged, such that a steel rail grinding vehicle can complete a steel rail grinding task more durably, more efficiently and safely.
B24C 1/08 - Methods for use of abrasive blasting for producing particular effectsUse of auxiliary equipment in connection with such methods for polishing surfaces, e.g. by making use of liquid-borne abrasives
B24C 9/00 - Appurtenances of abrasive blasting machines or devices, e.g. working chambers, arrangements for handling used abrasive material
B24C 7/00 - Equipment for feeding abrasive materialControlling the flowability, constitution, or other physical characteristics of abrasive blasts
95.
Method and device for front-end filtering frequency selection for communication receiver
A method for front-end filtering frequency selection for a communication receiver is provided. The method includes: disposing a reference oscillator working at a preset frequency associated with a frequency to be received by the communication receiver, where the preset frequency and the frequency to be received can be accurately converted and expressed by a formula; and transmitting the frequency to be received to a front-end filtering frequency selector to realize accurate tuning. The frequency of the front-end filtering frequency selector is a required tuning frequency based on the device parameter relationship between the reference oscillator and the front-end filtering frequency selector.
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.
G01S 19/14 - Receivers specially adapted for specific applications
G01C 17/38 - Testing, calibrating, or compensating of compasses
97.
MOLECULAR BEACON BASED NANOPROBES FOR DIRECTLY DETECTING ORGAN-SPECIFIC MATASTASIS RELATED BIOMARKERS OF TUMOR CELLS IN PERIPHERAL BLOOD, PREPARATION METHOD AND APPLICATION
The disclosure provides a molecular beacon nanoprobe for directly detecting organ-specific metastasis related genes of tumor cells in peripheral blood. The molecular beacon nanoprobe is a nanoparticle formed by self-assembly of a polymer material, a positively charged protein, a functional polypeptide, and a molecular beacon of organ-specific metastasis related genes of tumor cells.
C12Q 1/6886 - Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
98.
Attention-based joint image and feature adaptive semantic segmentation method
t. In addition, the present invention introduces an attention module in the feature adaptation procedure to help the feature adaptation procedure pay more attention to image regions worthy of attention. Finally, combining the image adaptation procedure and the feature adaptation procedure in the end-to-end manner. The present invention effectively solves the problem of domain gap existing in the cross-modal image semantic segmentation, improves the performance of the semantic segmentation model, and achieves the optimal effect in multiple public data sets.
G06T 7/174 - SegmentationEdge detection involving the use of two or more images
G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06T 1/20 - Processor architecturesProcessor configuration, e.g. pipelining
Disclosed are a method and equipment for reinforcing a concrete-filled steel tubular column with an outer concrete-filled steel tube. The method includes following steps: step 1, grinding and derusting an outer wall of a concrete-filled steel tubular column to be reinforced by an auxiliary device; step 2, welding two prefabricated semi-rectangular steel plates in advance, forming a complete rectangular steel tube with the two semi-rectangular steel plates and sleeving the rectangular steel tube outside the concrete-filled steel tubular column to be reinforced; and step 3, filling self-compacting concrete between the outer wall of the concrete-filled steel tubular column to be reinforced and an inner wall of the rectangular steel tube to complete a reinforcement.
E04G 23/02 - Repairing, e.g. filling cracksRestoringAlteringEnlarging
B24B 5/22 - Machines or devices designed for grinding surfaces of revolution on work, including those which also grind adjacent plane surfacesAccessories therefor involving centreless means for supporting, guiding, floating or rotating work for grinding cylindrical surfaces, e.g. on bolts
B24B 47/12 - Drives or gearings for grinding machines or devicesEquipment therefor for rotating or reciprocating working-spindles carrying grinding wheels or workpieces by mechanical gearing or electric power
100.
HOMOGENEOUS SINGLE ORGANOID MODEL BASED ON MICROPOROUS PLATE AND METHOD FOR PREPARING SAME
Disclosed are a homogeneous single organoid model based on a microporous plate and a method for preparing same. The method comprises: digesting a subculturable organoid into single cells; blending the single cells with an organoid culture medium containing 2-10% matrigel to obtain a cell-matrigel-culture medium blend; and placing the blend in a microporous plate with low adhesion or ultra-low adhesion at the bottom, then centrifuging the plate to gather the cells at the bottom of the microporous plate, and adding the organoid culture medium for routine culture to obtain the homogeneous single organoid model based on the microporous plate.
patents
