1651 results about "Target site" patented technology

The invention discloses an air pollutant concentration prediction method and related equipment thereof, and relates to the technical field of data processing. The method comprises the following steps: acquiring current pollutant concentration data, current meteorological data and target site geographic position data corresponding to a target environment monitoring site; taking the current pollutant concentration data, the current meteorological data and the geographic position data of the target station as target input data of the prediction model; wherein an input module of the prediction model is used for performing modal decomposition processing on input data to obtain multiple pieces of modal data; the time feature extraction module is used for extracting time feature data; the spatial feature extraction module is used for extracting spatial feature data; the space-time fusion convolutional network module is used for extracting space-time features; the output module is used for outputting a prediction result; determining a prediction result of the air pollutant concentration corresponding to the target environment monitoring station according to the output result; the method achieves the effects of improving the comprehensiveness and accuracy of a prediction result and expanding application scenes.

The invention relates to an activity scene arrangement scheme generation method and system, and the method comprises the following steps: obtaining activity scene data, and carrying out the analysis to obtain an activity theme and the characteristics of participants; objective condition parameters of the target site are obtained, and the candidate arrangement elements are screened; constructing a multi-dimensional attribute vector according to the screened arrangement elements; clustering the multi-dimensional attribute vectors, and performing spatial layout planning on layout elements; performing combined optimization on the generated spatial layout plan, color scheme and light effect setting; the time period of the activity is extracted, and the recommended arrangement scheme is adjusted according to the relevance; and performing visual rendering on the adjusted recommended arrangement scheme, and optimizing and determining an activity scene arrangement scheme. Intelligentization and individuation of activity scene arrangement are achieved, integrity, creativity and coordination of the arrangement effect are improved, meanwhile, influences of actual site conditions and activity time are considered, and a more optimized scene arrangement solution is provided for a user.

The invention discloses an unmanned aerial vehicle airport multi-target constraint planning and site selection method and system and electronic equipment. The planning and site selection method comprises the following steps: S1, obtaining geographic information of a target site selection area; s2, determining performance parameters of the unmanned aerial vehicle, and obtaining a flight coverage range of the unmanned aerial vehicle in combination with geographic information; s3, constructing a dynamic task point model, and determining an unmanned aerial vehicle task point set through the dynamic task point model; s4, obtaining an optimization target of airport site selection, establishing a target function according to the optimization target, constructing a site selection optimization model through the target function, and setting constraint conditions for the site selection optimization model; and S5, performing multi-target optimization calculation based on the site selection optimization model by adopting a heuristic algorithm to obtain a target layout of the unmanned aerial vehicle airport. According to the technical scheme disclosed by the invention, the navigation path can be precisely planned, the accurate navigation of the unmanned aerial vehicle in a communication limited or silent environment is realized, and the navigation reliability and the operation capability of the unmanned aerial vehicle are improved.

A computer-implemented method of identifying a vascular access site for inserting an interventional device in order to reach a target site in a vasculature, is provided. The method includes computing a success metric for multiple potential vascular access sites. The success metric represents an ease of navigating the interventional device from the vascular access site to the target site via the vasculature, and is computed based on image data. A vascular access site is identified based on the computed success metrics.

The invention relates to a transformer substation intelligent site selection and line selection planning method, system, equipment and medium, and relates to the field of transformer substation site selection, and the method comprises the steps: carrying out the information collection of a target site selection region through employing the oblique photography of an unmanned plane, generating a three-dimensional model, determining a plurality of environment sensitive regions and the sensitive weights of the environment sensitive regions based on the three-dimensional model, and meanwhile, load demand data and construction cost data of the region are obtained. Establishing a multi-target evaluation model, optimizing the plurality of obtained candidate site selection schemes to obtain an optimal site selection scheme, performing line selection planning on the optimal site selection scheme based on an adaptive algorithm, and adjusting a line selection strategy in real time to obtain an optimal line selection scheme. The technical problem of low planning precision and efficiency caused by lack of intelligent algorithm support in substation site selection and line selection planning in the prior art is solved, and the technical effect of improving the precision and efficiency of substation engineering site selection and line selection planning through collaborative optimization of the intelligent algorithm is achieved.

The invention provides a meteorological live prediction method based on machine learning and related equipment, and is applied to the technical field of data processing. The method comprises the steps of obtaining target area information, a target event set matched with the target area information and a training sample set; preprocessing the training sample set to generate a training sample set with target feature data; obtaining a preset weather prediction model; processing a preset weather prediction model based on the training sample set with the target feature data to generate a target weather prediction model; processing the target event set to generate meteorological early warning information of the target area; the target area information is processed based on the target meteorological prediction model, and attribute information of the target area is generated and comprises grouping information of the target station; and processing the attribute information of the target area and the meteorological early warning information of the target area based on the target meteorological prediction model, and generating meteorological live information of the target station.

The invention discloses an optical storage charging station cross-site heterogeneous data fusion health state early warning method, which adopts transfer learning and domain adaptation technologies, measures the data distribution difference between a source site and a target site through the maximum mean value difference, realizes knowledge transfer and improves the generalization ability of a model. And on the basis of an Attention-LSTM feature fusion mechanism, feature weights are adaptively allocated, and the fault feature extraction capability is enhanced. And designing a fault mode sharing module, coding the fault mode of the source site into a knowledge base, and rapidly matching similar faults of the target site. A model compression technology is introduced, lightweight deployment is realized through knowledge distillation and a parameter quantification method, and operation of edge equipment is effectively supported. And furthermore, an online learning mechanism is adopted to dynamically update model parameters to ensure that the model adapts to the environment change of the target site. According to the method, the accuracy and robustness of cross-site fault prediction are remarkably improved, the model deployment time is shortened, and the method is widely applied to intelligent operation and maintenance of the optical storage charging and discharging integrated power station.

The invention discloses a garden landscape design method based on digital twinning, and belongs to the technical field of landscape garden design. According to the method, a target site environment data set is collected, and a site thermodynamic distribution cloud picture is generated through a geographic space grid processing unit; extracting a site space pattern feature matrix on the basis; constructing a landscape effect distribution model, decomposing the feature matrix into topographic relief, seasonal phase color and illumination reflection parameters, driving the model to generate a three-dimensional scene rendering sequence, embedding the model into a three-dimensional digital twin scene of the garden site, and associating the parameters with physical attributes of the twin scene in real time; dynamic optimization of the landscape scheme is executed, an element replacement instruction is generated, and the spatial topological relation network is updated; and outputting a site design scheme map, adjusting facility layout coordinates, and generating a final scheme data packet in combination with the path connectivity, so that the precision and adaptability of garden landscape design can be improved.

The specification provides programmable base editors that are capable of introducing a nucleotide change and / or which could alter or modify the nucleotide sequence at a target site in mitochondrial DNA (mtDNA) with high specificity and efficiency. Moreover, the disclosure provides fusion proteins and compositions comprising a programmable DNA binding protein (e.g., a mitoTALE, a mitoZFP, or a CRISPR / Casp) and double-stranded DNA deaminase that is capable of being delivered to the mitochondria and carrying out precise installation of nucleotide changes in the mtDNA. The fusion proteins and compositions are not limited for use with mtDNA, but also may be used for base editing of any double-stranded target DNA.

The invention relates to an improved NSGA-III-based multi-target geographic site selection optimization method and system, belongs to the technical field of optimization in business management and resource planning, and particularly relates to resource allocation and site selection decision making by using a calculation model. The technology aims to solve the problems of slow scheme convergence, non-uniform solution set distribution and low calculation efficiency when multi-target site selection is carried out under limited resources. According to the scheme, geographic space data is preprocessed, and an initial population representing different site selection schemes is generated; carrying out optimization iteration by adopting an improved NSGA-III algorithm, and calculating a plurality of objective functions such as coverage rate, normalized population density and medical service accessibility; and performing individual selection and population updating by utilizing improved reference point generation and vertical distance measurement. The method is mainly used for improving the efficiency and effect of commercial and municipal decisions such as urban planning, medical resource configuration, energy station layout and logistics network optimization.

The embodiment of the invention provides a sign-in processing method and device based on near field communication, and the method comprises the steps: building a near field communication connection with near field communication equipment deployed in a target place in a process that a user carries out the sign-in processing based on the near field communication equipment, the method comprises the following steps: receiving a dynamic token from near-field communication equipment, acquiring a link containing a preset identifier and the dynamic token from the near-field communication equipment through near-field communication connection, then starting a target application corresponding to the preset identifier, transmitting the link to the target application, and finally submitting the link and login user information of the target application to a server through the target application for sign-in. Therefore, the sign-in processing of the user based on the near field communication equipment is realized.

The invention provides a communication method, device and system, electronic equipment and a storage medium, and relates to the technical field of communication. The method comprises the following steps: receiving an Ethernet data frame sent by a first host connected with a first network device, wherein the Ethernet data frame comprises a source MAC address and a destination MAC address; determining a virtual Ethernet identifier and a target site mapping prefix corresponding to the target MAC address according to a preset address mapping relationship; generating an IPv6 message header according to the virtual Ethernet identifier, the target site mapping prefix and the target MAC address, and packaging the Ethernet data frame according to the IPv6 message header to obtain an IPv6 message; and sending the IPv6 message to a second network device, decapsulating the IPv6 message by the second network device to obtain an Ethernet data frame, and sending the Ethernet data frame to a second host connected to the second network device. The present disclosure can reduce overhead and improve system security.

To provide systems and methods suitable for delivering a therapeutic agent to a target site.SOLUTION: The system comprises a container for holding the therapeutic agent, and a pressure source having pressurized fluid, where the pressure source is in selective fluid communication with at least a portion of the container. A catheter is placed in fluid communication with the container, and has a lumen sized for delivery of the therapeutic agent to a target site. A housing is configured to securely retain the container. The system further comprises a camera having a camera head coupled to the catheter, where the camera provides a visual image of the target site during the delivery of the therapeutic agent.SELECTED DRAWING: Figure 1

The present embodiments provide systems and methods suitable for delivering a therapeutic agent to a target site. In one example, the system comprises a container for holding the therapeutic agent, and a pressure source having pressurized fluid, wherein the pressure source is in selective fluid communication with at least a portion of the container. A catheter is placed in fluid communication with the container, and has a lumen sized for delivery of the therapeutic agent to a target site. A housing is configured to securely retain the container. The system further comprises a camera having a camera head coupled to the catheter, wherein the camera provides a visual image of the target site during delivery of the therapeutic agent.

The invention discloses a directional fuzzy testing method for wide adaptation of Windows platform application programs. The directional fuzzy testing method comprises the steps that target program adaptation is carried out; the target function meeting the condition is positioned, the execution path of the monitoring program is dynamically instrumented during running, information is recorded, and detailed intermediate files and dump files are generated; in the static analysis stage, functions related to input file operation are focused, a series of target function offsets are generated for a command line program and a part of GUI programs, and most valuable targets are screened according to the coverage condition of performance functions and the calling depth of file operation functions; identifying a target station; determining potential vulnerabilities and key execution paths before executing the directional fuzzy test; performing directional fuzzy testing; performing directional fuzzy testing on the target program; and fuzzy test optimization: improving the test efficiency by implementing a time slicing strategy. The method has the advantages of simple principle, easiness in implementation, good test effect and the like.

The invention discloses an unmanned aerial vehicle control system and method based on the Internet of Things, and relates to the technical field of data encryption, and the method comprises the steps: enabling an unmanned aerial vehicle to be connected with a central control platform through the Internet of Things, and enabling the unmanned aerial vehicle to receive a task demand; a preliminary flight path is generated according to a task weight, task start time, task end time and route length in a task demand, the unmanned aerial vehicle performs routing inspection according to the preliminary flight path, meanwhile, environment data of a target site are collected through a sensor and preprocessed, and the task demand is determined based on the preprocessed environment data and the task demand. And calculating a comprehensive priority score, dynamically adjusting a flight path, executing a task according to the dynamically adjusted flight path, monitoring a flight state in real time, detecting abnormality and triggering an emergency strategy.

A method of treating a recurring airway stricture or stenosis in a body lumen includes inserting a scope and a drug-coated balloon catheter into a target site comprising the recurring airway stricture or stenosis in the body lumen. The method includes inflating the balloon to an inflation diameter such that the coating contacts an interior of the body lumen at the target site. The method includes deflating the balloon and withdrawing the scope and the balloon catheter from the target site.

Surgical systems and methods for tracking physical objects near a target site during a surgical procedure are provided, the surgical system employs a navigation system and a surgical instrument; an instrument tracker is provided on the surgical instrument and a patient tracker is provided on the patient's target tissue; the system and method is configured to detect an error condition compromising accuracy of the navigation guidance and to track and monitor a tool-to-bone offset.

Provided herein are systems, compositions, and methods for generating immunogenic peptides or epitopes from tumor associated antigens (e.g., in vivo or ex vivo). Polynucleotides (e.g., genes) encoding the tumor associated antigens may be edited at selected target sites by nucleobase editors comprising a catalytically-inactive Cas9 and a cytosine deaminase, leading to the expression of heteroclitic or cryptic peptides that are more immunogenic than the native peptide derived from the tumor associated antigens. The heteroclitic or cryptic peptide elicit strong tumor-specific immune response (e.g., T-cell response or B-cell response), which inhibits tumor growth and metastasis.

The invention relates to the field of field engineering characteristic evaluation, in particular to a fracture characteristic calculation method based on resistivity tomography and resistivity static sounding. The method comprises the steps that firstly, in-situ site resistivity parameter calibration is carried out through a resistivity static sounding (RCPTU) test technology, and a resistivity index background value of a target site is obtained; then, acquiring an initial value of the electrical resistivity of the whole area of the target site by adopting a three-dimensional electrical resistivity tomography (ERT) technology; and finally, according to the resistivity-fracture inversion model, identifying the fracture distribution condition of the whole region of the target site, and giving a fracture rate evaluation model of the target site. According to the method, the precision problem of single in-situ test equipment is solved, the test precision of site three-dimensional resistivity parameters is improved, the reliability of three-dimensional inversion calculation is improved, and the three-dimensional space distribution of the soil body fractures can be evaluated quickly, nondestructively and accurately.

Provided is a program, etc. capable of acquiring information related to an amount of body tissue from an X-ray image with high accuracy using a small number of cases. A computer acquires training data including an X-ray image of a target site and information related to an amount of body tissue obtained from a CT (Computed Tomography) image of the target site. The computer generates a learning model configured to output information related to an amount of body tissue of a target site in an X-ray image when the X-ray image is input using acquired training data.

Methods of treating a nerve injury are disclosed. The methods include administering to a target site of the nerve injury a thermally stable preparation having a purified amphiphilic peptide in an aqueous biocompatible solution, being configured to self-assemble into a hydrogel, and administering to the target site a buffer having an effective amount of an ionic salt and a biological buffering agent to form the hydrogel. The methods include administering to the target site a biological material suspension in an amount effective to treat the nerve injury. The methods include administering to the target site an anti-scarring agent in an amount effective to treat the nerve injury. The target site is associated with central nervous system tissue or peripheral nervous system tissue. The nerve injury includes spinal cord injury and peripheral nerve injury.

The invention discloses a flow feature confusion method based on an AI virtual human, and the method comprises the steps: S1, configuring the basic attributes of the virtual human and a preset behavior strategy, and automatically obtaining the fingerprints of Internet access equipment of a user; s2, virtual human environment fingerprint camouflage is carried out by configuring a containerized operation environment and adjusting browser fingerprints; s3, dynamically generating behavior parameters for determining a virtual human online task based on LLM drive of preset parameters; and S4, the virtual human calls a local browser driver on line based on the behavior parameters obtained in the S3, simulates human to access the target site and generates feature traffic. According to the method, the virtual human Agent is driven by the AI, the mixed flow is generated by autonomously acting on the network, the user identification and tracking technology of the network access target based on the flow signal characteristics is effectively interfered, the signal statistics characteristics of the user internet surfing flow can be effectively mixed, and the method is suitable for the network privacy protection requirements in various scenes.

The invention discloses a highway accident scene sensing system based on AI identification and unmanned aerial vehicle cooperation, and relates to the technical field of intelligent traffic. Comprising a central planning node for fusing geographic information, meteorological information and road obstacle information of a target site with the real-time state of an unmanned aerial vehicle, constructing a digital twin scene model, generating an initial four-dimensional collaborative awareness route plan, and dividing sub-airspaces; the distributed airborne intelligent agent obtains peripheral multi-source data of the unmanned aerial vehicle, constructs a surrounding environment real-time situation map through an AI recognition algorithm, and determines a flight instruction of the unmanned aerial vehicle according to the surrounding environment real-time situation map and the divided sub-airspace; and the reconfigurable intelligent metasurface is used for adjusting surface electromagnetic characteristics according to the divided sub-airspaces and sending directional beams to the unmanned aerial vehicle. Therefore, the problems of cooperative scheduling, obstacle avoidance and communication guarantee of multiple unmanned aerial vehicles in a complex accident scene are effectively solved, and the efficiency and safety of emergency disposal are remarkably improved.

An ultrasonic surgical device comprising of a proximal end and a distal end to be used in a robotic surgical system. The distal end comprises of a first jaw with an ultrasound transducer array and a second jaw with either a reflecting surface or an ultrasound transducer array. The distal end is configured to grasp a blood vessel or a living tissue. The proximal end is configured to apply a drive signal to the ultrasound transducer array. A plurality of rotary joints is connected at the distal end to facilitate its articulation. The ultrasound transducer array, generates acoustic vibrations in the grasped blood vessel, or living tissue, based on the applied drive signal by a control system of the robotic surgical system. The ultrasound transducer array, is configured to sense parameters of a target site on a grasped blood vessel or living tissue, based on the reflected acoustic vibrations.

The invention relates to the technical field of wind generating sets, and discloses a trench excavation and cable laying method which is applied to the wind generating sets, cables comprise cables and optical cables, and the method comprises the steps that according to a preset construction drawing, preparation of target construction equipment and target construction tools is completed, measurement is carried out on a target site, and a target path is obtained; according to the target path, excavation of the target groove is completed according to the target specification of the target groove in the construction drawing; determining the length of a target cable according to the type, the target path and the target specification of each piece of target electrical equipment in the target wind generating set, and determining the laying mode and laying matters needing attention of the target cable according to the soil texture condition of the target groove and the type of the target electrical equipment; and cable laying is carried out, the target construction image is monitored by using the hazard source identification model in the laying process, and early warning is carried out when a target hidden danger is monitored. The cable laying device has the effects of improving the cable laying efficiency and reducing the cable laying cost.

The invention discloses a short-term distributed photovoltaic power prediction method, and relates to the field of photovoltaic power analysis. According to the method, the independence of input data is ensured by determining different types of photovoltaic sites related to the target site in geographic and meteorological factors; the method comprises the following steps of: determining optimal graph structure data in all graph structure data by taking a graph connectivity measurement index as an evaluation index so as to simplify the data; the directed graph convolutional neural network model is constructed and trained through the optimal graph structure data, the causal relationship between the input variables is considered, and the precision of the prediction effect is improved. According to the short-term solar photovoltaic power prediction method, the data space-time correlation can be better mined, and the prediction accuracy and reliability are improved.

The present disclosure relates to an electron beam output device for medical use, and the electron beam output device may comprise: an electron beam generation unit for generating an electron beam in the form of a pencil beam; an electron beam acceleration unit that receives the electron beam generated by the electron beam generation unit and accelerates the received electron beam; a conduit for allowing the electron beam received from the electron beam acceleration unit to pass through and be disposed opposite to a target site or enter an internal passage of the target site; and a first magnetic field generation unit that is provided in the conduit and generates a magnetic field that refracts the electron beam output from the conduit.

The embodiment of the invention provides an artery positioning detection method and device, electronic equipment and a storage medium, and the method comprises the steps: iteratively executing at least one round of the following steps in a process of continuously moving an image collection device at a target part until the integrity degree meets a preset condition: obtaining an image sequence collected by the image collection device in the round, stacking the image sequence into a stacked image, inputting the stacked image into a positioning network, and obtaining an image state output by the positioning network; and taking the last frame of image in the image sequence obtained when the integrity degree meets a preset condition as a target image, detecting the artery blood vessel in the target image, and determining a detection result indicating the health risk of the artery blood vessel. And identifying the image to assist the user in positioning the artery blood vessel, and detecting the artery blood vessel when the integrity degree meets a preset condition.

Novel, inexpensive, and highly effective methods and devices for convenient and effective wound irrigation are described herein. Methods and devices disclosed herein utilize a synergistic combination of two or more antiseptic agents to reduce contact time, enhance antimicrobial effects, and reduce the likelihood of allergy and other side effects from the antiseptic agents in subjects. In one embodiment, devices include a discharge means for a reservoir housing containing irrigation solution wherein the discharge means has one or more specifically designed nozzles through which a sufficient volume of the irrigation solution can pass at an appropriate pressure.