40 results about "Active target" patented technology

The invention discloses an unmanned aerial vehicle visual active tracking method and system for cross-category targets, and relates to the technical field of unmanned aerial vehicle control, and the method comprises the steps: obtaining a continuous image frame sequence, carrying out the target detection and image segmentation of a current frame image in the continuous image frame sequence, so as to obtain a target mask, performing scale standardization processing on the target mask to obtain a standardized mask, and performing feature extraction on the standardized mask to obtain a target depth feature and an artificial feature; obtaining a mixed feature vector through target depth features and artificial features of a plurality of continuous time steps and the normalized unmanned aerial vehicle state estimator, and inputting the mixed feature vector to a long-short-term memory network to obtain a final feature vector; according to the multi-rotor unmanned aerial vehicle motion control method and device, the multi-rotor unmanned aerial vehicle motion control instruction is input into the pre-trained deep network, the deep network outputs a three-dimensional continuous motion instruction used for controlling the multi-rotor unmanned aerial vehicle to move so as to achieve active tracking of the target, and the universality of unmanned aerial vehicle tracking for cross-category targets can be effectively improved.

The application discloses an active direct wave suppression method, device, computer and storage medium, which filters a received signal by using a time domain blocking matrix, suppresses an interference frequency component, and forms a new sampling sequence; and performs a discrete Fourier transform on the new sampling sequence generated after filtering to obtain a power spectrum signal after interference suppression. According to the active direct wave suppression method, device, computer and storage medium, the uniformity of a single-frequency signal in time domain sampling is utilized, alignment on a time domain waveform is realized through phase compensation, and a difference cancellation process is performed on a reference signal and an original signal, so that the frequency component is cancelled, and static reverberation is suppressed. The method is convenient to calculate, has good single-frequency direct wave interference and reverberation suppression capability, and can be used for active target detection in a single-frequency long pulse signal transmission mode, and the effective distance is improved.

The invention discloses a positioning information determination method and an electronic device, and relates to the technical field of smart home, and the method comprises the steps: transmitting an ultrasonic detection signal to a target space through a smart home device, and obtaining an echo sequence; extracting a sampling sequence corresponding to the echo sequence based on the starting moments corresponding to the plurality of emission periods, and filtering the sampling sequence to obtain a first receiving signal used for indicating the dynamic change of the moving target in the target space; performing cross-correlation operation on the first receiving signal and the ultrasonic detection signal to obtain a channel impact response sequence corresponding to the target space; and performing clustering analysis on the channel impact response sequence to determine the positioning information of the moving target. The problem that a human body sensing technology cannot accurately position the moving target in a complex home scene under the condition that special hardware is not additionally installed is solved, and the effect that the moving target can be positioned without additional special hardware is achieved.

The present application belongs to the technical field of low-scattering electromagnetic testing, and solves the problems of load bearing, attitude adjustment, power supply, control, cooling and other functional requirements of active targets, and discloses a heavy-load two-dimensional rotating top with active RCS testing, comprising a rotating top cylinder, an elevation assembly and an azimuth assembly in the rotating top cylinder, and an axially-through central passage formed inside, the elevation assembly and the azimuth assembly being arranged on both sides or the periphery of the central passage; the elevation assembly is connected with a lower connecting seat, the connecting seat passage is in communication with the central passage of the rotating top cylinder, the azimuth assembly drives the rotating top shell to rotate, and the top end of the rotating top cylinder is provided with an interface assembly. The present application adopts multi-stage speed reduction and screw transmission technology, has high load bearing capacity and high-precision motion characteristics, and realizes the integration of power supply, liquid supply, signal transmission and other functions through the design of hollow structure and interface plate.

The invention relates to a target sensing method based on a communication signal, and the method comprises the steps: receiving a communication signal transmitted by an active target, the communication signal being a signal combining frequency shift keying and linear frequency modulation spread spectrum modulation; carrying out carrier demodulation on the communication signal to obtain a double-channel baseband signal; performing digital beam forming processing on the double-channel baseband signal to obtain sum beam data and difference beam data; performing matched filtering processing on the sum beam data and the difference beam data; performing multi-pulse coherent accumulation processing on a matched filtering result to obtain distance-Doppler information; determining angle information of the active target based on a ratio relationship between the sum beam data and the difference beam data; and determining the distance, Doppler velocity and angle of the active target according to the distance-Doppler information and the angle information.

The application discloses a high-altitude projectile detection method based on active learning and a neural network, and relates to the technical field of target detection.The identification steps of the application are as follows: collecting high-altitude projectile falling object data, constructing an active target detection model, performing target tracking on a moving object, constructing an image classification neural network model, filtering interfering objects by using the image classification network, and excluding the motion trajectories of non-high-altitude projectiles.The application adopts an active learning method to select a small amount of samples for marking through a query strategy, so that the marked information is used to improve a prediction model; the classification network is used to filter interfering objects from the detection results through the training and classification results of the model, so that the problem of false detection of flying birds, flying insects and leaves in a high-altitude projectile scene can be solved, and the tracking cost is reduced.

The application discloses a kind of active targeting hyperplastic scar's biomimetic hybrid delivery vehicle and its preparation method and application.The application uses scar fibroblast membrane protein, cationic delivery vehicle and siRNA and other materials, realizes the hybridization of cell membrane and cationic delivery vehicle by ultrasonic co-extrusion technology, and gives the immune escape and homologous targeting ability of carrier;Efficient loading of TGF-β1 siRNA is realized by using electrostatic self-assembly, so as to construct a biomimetic transdermal delivery system with active targeting characteristics.The biomimetic hybrid delivery vehicle not only provides an innovative approach for the root cause treatment of hyperplastic scar, but also opens up a new way for gene intervention of other skin fibrosis and inflammation-related diseases, and has important clinical translation value.

The application relates to the technical field of storage, and discloses a programming method and device, computer equipment and a storage medium, the method comprising the following steps: when a storage device is used for the first time, determining an active target physical block corresponding to a programming type; when data is written into the storage device, determining a corresponding active target physical block category according to data characteristics, determining a corresponding target physical block, and executing data programming; when the storage device reads data, re-evaluating data characteristics and determining a target physical block category, and if the newly determined target physical block category does not match the target physical block category, executing a data moving operation, the application introduces a new programming method, determines an active target physical block type according to data characteristics, selects a matched active target physical block type for data writing, performs programming, re-determines a target physical block category for data reading, ensures that data characteristics and target physical block performance always match, and improves the overall performance of the storage device.

The invention discloses a bionic delivery system and an anhydrous composition for enhancing hair follicle penetration. The system comprises a mesoporous nanocarbon core, a pH responsive charge reversal polymer layer, a bionic interface lipid regulation layer and at least two loaded oligopeptide precursor molecules. The polymer layer is protonized and positively charged in a scalp microenvironment, so that a hair follicle opening is accurately anchored; the lipid regulation layer temporarily enhances the lipid fluidity of hair follicles in a non-invasive manner and promotes the permeation of active matters; the oligopeptide precursor is triggered by alkaline phosphatase in the deep part of the hair follicle and is self-assembled into the active target oligopeptide through in-situ biological orthogonal connection. A composition comprises the nanosystem, a natural deep eutectic solvent, a plant source emollient and a zinc salt complex, and synergistically enhances permeation and release. The system realizes accurate, efficient and safe delivery of active matters in the deep part of hair follicles, and is suitable for prevention and treatment of hair follicle related diseases.

The invention discloses a machine vision target shielding correction calculation method, and aims to solve the problems of image missing and deformation caused by non-uniform visibility, animal shielding and external factor shielding in actual working conditions due to the fact that a machine vision displacement monitoring system uses an open zone, and if a known target is circular, image contour detection is carried out in an imaging picture, so that the target is corrected. And judging whether a circle exists or not, and then carrying out defect judgment, arc segmentation, fitting complementation and circle calculation. The gross error caused by direct calculation of the centroid based on an actual imaging image in a traditional mode is solved, and correction calculation can be carried out in time when a target image has certain deficiency and non-uniformity. The system is applied to a machine vision displacement monitoring product of an active target (the target actively emits infrared light), and the system is applied to safety monitoring projects of infrastructures (bridges, tunnels, slopes, water conservancy dams, geological disaster landslide monitoring and the like).

The invention discloses an intelligent response type in-situ copper ion adsorption nanometer delivery system and a preparation method and application thereof.The intelligent response type in-situ copper ion adsorption nanometer delivery system comprises a nanometer liposome serving as a core, and a nitric oxide prodrug is loaded in the nanometer liposome; the surface is co-modified with drug molecules combined with copper ions and active targeting molecules. The nano-system prepared by the invention can utilize excellent carrier performance and biological safety of the liposome to enhance the dosage in cells, and through surface modification of targeting molecules, the in-vivo behavior and treatment effect of the drug delivery system are better regulated and controlled, and active targeting of the nano-liposome to a tumor site is promoted. More importantly, in the targeted delivery process, after entering a tumor microenvironment and / or cells, the nano-material shows specific response to adsorb autologous copper ions, so that the nano-material has no toxic or side effect on normal tissues, and precise treatment for inducing tumor cell copper death is realized.

The invention discloses a control method, system, equipment and medium for a target operating point observer of a network-forming converter, and belongs to the technical field of novel power systems, and the method comprises the steps: constructing the target operating point observer of the network-forming converter; observing an active target operation value and a reactive target operation value of the network-forming converter through a target operation point observer, and calculating errors between the active and reactive target operation values and actual output active and reactive power; the phase angle and the amplitude of the instruction voltage are adjusted according to the error, and the adjusted phase angle and the amplitude of the instruction voltage are synthesized into the instruction voltage; and the command voltage is tracked through the network-forming converter. According to the method, the active target value and the reactive target value of the grid-forming converter can be directly obtained through the active target operation point real-time observer and the reactive target operation point real-time observer, the active target value and the reactive target value of the grid-forming converter can be tracked in an active and reactive mode, control is more direct, and the transient process and fluctuation in the control process are reduced.

This invention discloses a β-glucosidase, its preparation method, and its applications, relating to the field of genetic engineering technology. The amino acid sequence of the β-glucosidase is shown in SEQ ID NO:1. The nucleotide sequence encoding this enzyme, optimized for codon bias in *E. coli*, is shown in SEQ ID NO:2. The constructed recombinant expression vector contains an IPTG inducible promoter, a ribosome binding site, a 6×His tag, a TEV protease recognition site, a flexible linker peptide, and the sequence shown in SEQ ID NO:2. The recombinant expression vector is transformed into *E. coli*, and after induction expression, high-density fermentation, and affinity purification, a highly soluble and active target enzyme is obtained. This enzyme can efficiently catalyze the conversion of ginsenoside Rb1 to rare ginsenoside CK, with a conversion rate exceeding 82%. This invention improves the soluble expression level and preparation efficiency of the target enzyme, making it suitable for industrial production.

The invention relates to a target tracking method based on multi-pulse response signal coherent accumulation, and the method comprises a calibration mode and a formal working mode: in the calibration mode, an active target is fixed at a known position, and a plurality of pulse response signals emitted by the active target are received; estimating a frequency difference and an initial phase difference between the response signal and the ground radar transmitting signal; in the formal working mode, receiving a plurality of pulse response signals transmitted by the active target, performing frequency and initial phase compensation on the pulse response signals according to the frequency difference and the initial phase difference, and then performing matched filtering to obtain a distance dimension compression result; arranging the compression results of the pulses according to a time sequence to form a fast time-slow time two-dimensional data matrix, and performing Fourier transform on the slow time dimension to realize multi-pulse coherent accumulation so as to obtain distance-Doppler two-dimensional information; and finally, determining the distance scale and Doppler scale of the target through peak detection to obtain the distance and radial speed of the active target.

The invention discloses a bionic black phosphorus nano material as well as preparation and application thereof. The preparation method comprises the following steps: S1, preparing black phosphorus nanosheets; s2, preparing a carboxylated black phosphorus nanosheet; s3, preparing a composite black phosphorus nano material; and S4, preparing the bionic black phosphorus nano material. The structure core of the bionic black phosphorus nanomaterial is composed of black phosphorus nanosheets, and after the black phosphorus nanosheets are modified by double-terminal carboxyl polyethylene glycol, the black phosphorus nanosheets can be covalently linked with an amino-modified Anti miR 33 nucleic acid inhibitor through terminal carboxyl of the black phosphorus nanosheets, so that the aims of protecting the nucleic acid structure and improving the delivery efficiency are fulfilled; and then coating the material by adopting a cell membrane derived from M2c phenotype macrophages, so as to endow the material with an active targeting capability in an inflammatory region.

The application discloses a kind of active sonar strong interference suppression methods based on beam reconstruction, it is related to acoustic signal processing target identification field.To solve the problem of active sonar target detection under strong interference environment, the application proposes a kind of adaptive filtering interference suppression method based on beam reconstruction.The method utilizes the correlation of interference signals in different azimuth beams, estimates the interference components of any beam in the interference range by the way of beam reconstruction, and carries out adaptive filtering on the beam data by taking the interference components as reference signal, to realize interference suppression.The application can effectively suppress the interference of any beam in the interference range, greatly improve the active target detection rate under interference background, and improve the anti-interference capability of sonar equipment.

This invention discloses a method for measuring Rydberg atoms using micro-Doppler agility under a polarization-multiplexed microwave field, belonging to the field of quantum precision measurement technology. The method includes generating a dynamic coded sequence and an interleaved coded microwave field by aperiodically pairing and jumping the microwave polarization state with the carrier frequency; acquiring the target echo signal and applying it to the Rydberg atom ensemble with a reference microwave field to generate a quantum coherent state; applying a synchronous laser pulse to acquire a time-series optical response signal; obtaining the signal's fundamental frequency, envelope spectrum, and initial phase component through time-frequency transformation and feature separation; and performing parameter mapping and synthesis to generate three-dimensional micro-motion parameters. This invention uses an aperiodically agile polarization-frequency-multiplexed microwave field for active target detection and utilizes the Rydberg atom ensemble for quantum coherent detection and optical readout of the echo signal, enabling high-sensitivity, high-precision, and high-anti-interference measurement of the target's three-dimensional micro-motion parameters.

The invention discloses a camera self-calibration method and system based on a passive target, and the method comprises the steps: manufacturing the passive target which is configured to provide geometric constraints through the rotational symmetry and topological relation of the passive target, and the passive target comprises a plurality of layers of concentric circles and a positioning circle cluster structure; shooting an image containing the passive target by using the camera to be calibrated; identifying the positioning target through a rapid convex quadrilateral positioning method; solving to obtain a circle center coordinate and a radius through a set circle equation in combination with a least square method; calculating to obtain a 2D-3D point pair sequence of the ordered middle concentric circle and the positioning circle cluster; determining the process of identifying the three-dimensional attitude of the target by the monocular camera; s3, substituting the 2D-3D point pairs obtained in the step S3 into a constraint matrix, and solving a system equation through a least square method; and calculating a three-dimensional pose matrix of the target according to calibrated internal parameters of the camera, and synchronously outputting the internal parameters of the camera and the pose of the target to finish self-calibration. And the camera calibration gets rid of dependence on a traditional active target.

The application belongs to the technical field of biological diagnosis, and relates to a subcellular organelle active targeting imaging probe and a preparation method thereof. The subcellular organelle active targeting imaging probe of the application is formed into nanoparticles (NPs) by coupling a fluorescent imaging probe with a special sequence of bombesin peptide and a derivative thereof; on one hand, the NPs can be surface-functionalized with lipophilic cations related to the NPs; on the other hand, the NPs can be passively targeted to tumor sites, and have high permeability and retention effect for solid tumors.

The application relates to a target sensing method based on a communication signal, which comprises the following steps: receiving a communication signal transmitted by an active target, wherein the communication signal is a signal combined by frequency shift keying and linear frequency modulation spread spectrum modulation; performing carrier demodulation on the communication signal to obtain a double-path baseband signal; performing digital beam forming processing on the double-path baseband signal to obtain sum beam data and difference beam data; respectively performing matching filtering processing on the sum beam data and the difference beam data; performing multi-pulse coherent accumulation processing on the matching filtering results to obtain distance-Doppler information; determining angle information of the active target based on a ratio relationship between the sum beam data and the difference beam data; and determining the distance, Doppler velocity and angle of the active target according to the distance-Doppler information and the angle information.

The invention belongs to the technical field of integrated photoelectronics, and particularly relates to a design method of an adiabatic optical waveguide device based on a constant mode conversion loss factor. The method comprises the following steps: S1, device segmentation and parameter definition; s2, establishing a relationship between local geometry and conversion performance; s3, setting a target MCLF and iteratively determining the length of each section; and S4, constructing a final device. According to the method, a passive design-verification process can be changed into an active target driving design process, and the design efficiency and systematicness are improved. According to the method, a quantized and controllable parameter is provided for accurately balancing the conversion efficiency and the physical compactness of the device. According to the method, the local loss bottleneck is avoided by ensuring the uniformity of the mode conversion process, so that the globally optimal quasi-adiabatic evolution is realized.

The application discloses a kind of bionic black phosphorus nanomaterial and its preparation and application, including the following steps: S1, the preparation of black phosphorus nanosheet;S2, the preparation of carboxylated black phosphorus nanosheet;S3, the preparation of composite black phosphorus nanomaterial;S4, the preparation of bionic black phosphorus nanomaterial.The structural core of the bionic black phosphorus nanomaterial is composed of black phosphorus nanosheet, which can be covalently connected to the amino-modified Anti miR 33 nucleic acid inhibitor through its terminal carboxyl group after modification by double-end carboxyl polyethylene glycol, to achieve the purpose of protecting nucleic acid structure and improving delivery efficiency, and then the material is coated with cell membrane derived from M2c phenotype macrophages, thereby endowing the material with active targeting ability in inflammatory areas.

The invention belongs to the technical field of low-scattering electromagnetic testing, solves the problem of functional requirements of bearing, attitude adjustment, power supply of an active target, control, cooling and the like, and discloses a heavy-load two-dimensional rotating top with an active RCS (radar cross section) test, which comprises a rotating top cylinder, a pitching assembly and an orientation assembly are arranged in the rotating top cylinder, and an axial through central channel is formed in the rotating top cylinder. The pitching assembly and the orientation assembly are arranged on the two sides or in the circumferential direction of the center channel. The pitching assembly is connected with the lower connecting base, a connecting base channel communicates with a center channel of the top rotating cylinder, the orientation assembly drives the top rotating shell to rotate, and the connector assembly is arranged at the top end of the top rotating cylinder. The multi-stage speed reduction and screw transmission technology is adopted, high bearing capacity and high-precision motion characteristics are achieved, and the functions of power supply, liquid supply, signal transmission and the like are integrated through the design of the hollow structure and the interface board.

The application discloses a nerve ablation control system based on a pulse electric field. A construction module in the system is used to construct a target ablation model, a determination module calculates nerve activity indexes according to electrophysiological signals of each mapping site, and determines each target active target point based on the nerve activity indexes, an ablation module performs nerve ablation on the target active target point according to the pipe wall thickness, and a judgment module executes a nerve ablation end instruction when all the target active target points meet preset ablation conditions after nerve ablation. Through the above nerve ablation control system, targeted nerve ablation is realized on each target active target point based on the calculated nerve activity indexes, and a self-adaptive pulse voltage is adopted according to the pipe wall thickness, so that organ damage caused by blind ablation or invalid ablation caused by too low pulse voltage amplitude is avoided, the requirement of high-precision ablation is met, and the use satisfaction of the ablation system is improved.

The present application relates to a kind of based on two-party game unmanned system initiative target monitoring method, belong to artificial intelligence and target monitoring technical field.This method fully considers the uncertainty and antagonism of target motion in target monitoring task, and the monitoring ability in long time monitoring, based on two-party game constructs the interactive process of two independent agents, the whole monitoring process is divided into monitoring stage and search stage, and reward function is designed respectively.Through the diversity of target strategy promotion, the reward of monitor is improved, so as to prolong the duration of monitoring process, reduce search process time, improve the monitoring performance of monitor in long time monitoring task.

The invention discloses a magnetic / pH dual-response micro-nano robot for tumor diagnosis, and relates to a preparation method and a detection application method of a magnetic / pH dual-response and quantum sensing micro-nano robot MNR (Fe3O4 (at) PDA-FNDs (at) CaP). Aiming at the problems that an existing micro-nano robot is low in targeting efficiency and lacks dynamic feedback in the treatment process, the technology provides a diagnosis and treatment integrated strategy of active targeting therapy-quantum instant detection. According to the micro-nano robot, magnetic Fe3O4 is used as a core, and an incomplete coating PDA middle layer, an FNDs quantum sensing layer, a glucose oxidase trigger layer and a pH response CaP shell are sequentially constructed. The incompletely coated PDA layer is a key structure for inducing ferroptosis treatment, and the CaP shell is decomposed in a targeted environment to realize controlled release of functional components and trigger a cascade reaction, so that the ferroptosis treatment efficiency is enhanced. Meanwhile, by utilizing the change of the relaxation time of the FNDs, the generation concentration of. OH in the ferroptosis process is detected, and the treatment effect is monitored in real time.

This invention discloses a GKW-TK-Chr conjugate targeting activated hepatic stellate cells, its preparation method, and its application, relating to the field of biomedical technology. The method for preparing this GKW-TK-Chr conjugate, formed by coupling juglansin to the targeting peptide GKWLEQYSRNVP via a thioglycolic acid bond, includes the following steps: S1, synthesizing the intermediate TK-Chr; S2, synthesizing the compound GKW-TK-Chr: combining the intermediate TK-Chr with the peptide... GKWLEQYSRNVP reacts in the presence of a condensing agent to obtain a GKW-TK-Chr conjugate; the GKW-TK-Chr conjugate is used in the preparation of drugs for the prevention and / or treatment of liver fibrosis; the compound GKW-TK-Chr is formed by conjugating apigenin with the targeting peptide GKWLEQYSRNVP via a thioglycolic acid bond, and this conjugate is used in the preparation of drugs for the prevention and / or treatment of liver fibrosis. The conjugate of the present invention can achieve active targeted delivery to activated hepatic stellate cells, thereby improving the therapeutic effect of drugs for liver fibrosis.

The invention discloses a mine active target positioning method based on an AI technology, and the method comprises the steps: a mining flame-proof network camera collects the image data of a working area in real time, transmits the data into an embedded device NVIDIA Jeston AGX Xavier, and drives a low-illumination target positioning algorithm to carry out the image enhancement and denoising of an input image in sequence through an embedded computing device; depth estimation and target positioning. In the model level, a combination of various losses is used as a loss function to carry out fine tuning on a monocular depth estimation Midas model for an SUNRGBD indoor data set so as to improve the adaptability of the model to a project, and post-processing is carried out on a predicted depth map so as to improve the depth estimation effect. The underground active target can be positioned, so that the safety level of coal mine production is effectively improved, and the life safety of miners is guaranteed.

The invention discloses a eukaryotic protein expression and purification system as well as a construction method and application thereof, and belongs to the technical field of biology. The eukaryotic protein expression and purification system comprises an expression vector and a eukaryotic host cell, the expression vector contains a positioning peptide, an ELK16 aggregation tag and a connecting peptide. According to the system, protein enters an endoplasmic reticulum path through a positioning peptide; meanwhile, the ELK16 tag and the flexible connecting peptide are used for inducing to form an aggregate, so that the aggregate can stably exist in an endoplasmic reticulum environment of eukaryotic cells, cytoplasm degradation is avoided, and the protein yield and the purification efficiency are remarkably improved. Meanwhile, the system can release soluble and active target protein through TEV protease specific cleavage, and the purification process is simplified. Therefore, the system disclosed by the invention can systematically realize ELK16-mediated controllable aggregation and secretion coupling expression in the eukaryotic host, has the advantages of high yield, reusability and easiness in amplification, and has a good industrial application prospect.

The application discloses a kind of unmanned aerial vehicle to ground target active detection method, terminal equipment and storage medium, utilize induction bias improvement strategy network's main part learned state representation, to improve the effectiveness and generalization of agent learned strategy when solving active target detection problem.First, the image features that active target detection problem mainly concerns should concentrate on the characteristics of target appearance, posture and the position relationship between target and surrounding ground objects, etc., and the features such as color and texture of ground objects can be discarded, so the application proposes to perform scene pre-decomposition operation on the image features before feature extraction, and then filter out these irrelevant features.Second, the application proposes to use GRU network to fuse the features of historical observation sequence.Through these two improvements, the generalization ability of state representation can be further improved, thereby helping the agent to learn better active target detection strategy.