62results about How to "Improve uniqueness" patented technology

The invention discloses an unmanned aerial vehicle laser radar point cloud individual tree segmentation method based on collaborative information guidance. The individual tree segmentation method comprises the steps of obtaining an initial crown class; based on the uniqueness of point cloud distribution of the unmanned aerial vehicle laser radar in the forest region, geometric significance features are constructed, and accurate extraction of trunk candidate points and objectified detection of trunks are realized; dividing the initial crown class into under-segmentation, correct segmentation and over-segmentation; outputting the correctly segmented crown as a single tree segmentation result, and further refining the under-segmented class cluster; and optimizing the under-segmented crown by using the mutual reference information of the crown and the trunk. According to the method, the tree boundary refined segmentation capability is improved, and the extraction precision and reliability of the unmanned aerial vehicle laser radar point cloud single tree are effectively improved.

The invention relates to the field of geophysics, and discloses a conductivity block continuous change magnetotelluric three-dimensional inversion method, and the method comprises the steps: adding a model constraint term based on the conductivity of a non-structural tetrahedral mesh node into a target function, and obtaining an inversion target function expression; enabling the norm of the conductivity variation of the unit and the surrounding unit to be minimum, and solving a model constraint term to obtain the model constraint term based on the tetrahedral mesh node conductivity; carrying out gradient solution on the inversion objective function expression; specific expressions of elements in stiffness matrix gradients under four different conditions are solved, gradient components of stiffness matrixes corresponding to all nodes are solved, and then the objective function gradient is solved in magnetotelluric inversion; according to the method, updating of the node conductivity model during three-dimensional underground medium inversion is achieved, unknown numbers generated in the inversion process are greatly reduced, the uniqueness of a solution is improved, meanwhile, the time needed by the inversion process is greatly shortened, and a better inversion effect is obtained.

The invention discloses an optical remote sensing image target detection domain adaptation method based on multi-view adaptive feature alignment. A multi-view adaptive feature alignment module provided by the invention firstly adaptively captures domain specific features in an image by using a cross attention mechanism; subsequently, the method adopts a training mode of comparative learning to enhance the difference of aggregation features of the feature alignment module so as to realize feature aggregation of different view angles. Compared with the prior art, the method has the advantages that the domain specific features in the optical remote sensing image can be captured more effectively, and more accurate feature alignment is realized.

The invention discloses a management method and device of a digital fingerprint database of Internet of Things equipment, equipment and a medium. The method comprises the following steps: monitoring an equipment change state of the Internet of Things in real time through equipment data communication in the Internet of Things, and determining changed first equipment according to the equipment change state; acquiring equipment information of the first equipment, and extracting feature information from the equipment information; after encoding the feature information, generating a digital fingerprint of the first equipment through a hash function; and after associating the digital fingerprint with the equipment information, updating a preset digital fingerprint database according to the digital fingerprint. According to the method and the device, the equipment management efficiency can be maintained under the condition that the equipment scale is continuously expanded, and the management safety of the Internet of Things equipment is improved.

The invention discloses a network link security management method based on artificial intelligence, which relates to the technical field of network security management, and comprises the following steps: when a network receiving link receives a data file of a sending end, obtaining first parameter data of the sending end to generate a sending feature and a fingerprint mark, and performing security verification on the fingerprint mark; and after verification, the data file and the fingerprint mark are packaged to generate a to-be-transmitted file. And when the to-be-transmitted file passes through an intermediate node of the network transmission link, recording second parameter data of the intermediate node, gradually generating a dynamic path mark and inputting the dynamic path mark. And when the file is transmitted to a receiving end, obtaining a complete dynamic path mark, carrying out anomaly analysis on the path mark according to a preset anomaly analysis algorithm, and if an anomaly is detected, generating an anomaly signal and giving an alarm. By sending the fingerprint mark in combination with the dynamic path mark and real-time monitoring, the adaptability of the network environment is improved, and the abnormality in the transmission path is accurately detected.

The invention discloses a power equipment fingerprint code generation method and system, and belongs to the technical field of Internet of Things. The method comprises the following steps: generating a prefix code based on a country code, an industry code and an enterprise code; generating an equipment type code and an equipment state code according to the equipment type classification standard and the equipment state table; the method comprises the following steps: acquiring attribute information of power equipment, forming multi-dimensional data, respectively generating a plurality of fingerprint libraries according to equipment characteristics, acquiring equipment components based on different fingerprint libraries, selecting a strategy based on the equipment components to carry out hash operation, and combining the hash values of the fingerprint components to carry out hash operation again to obtain characteristic hash values; generating a check code by combining the prefix code, the device type code, the state code and the feature hash value; generating a suffix code by combining the equipment type code, the state code, the feature hash value and the check code; and generating a power equipment fingerprint code by using the prefix code and the suffix code. Based on the fusion coding rule, software and hardware management of the power equipment is unified, and full-life-cycle data management of the power equipment is achieved.

The invention discloses a system with a physical non-replicable function. The system comprises a key generator array module, a confusion interconnection delay module and a response output module, the key generator array module is used for receiving the excitation signal and encrypting the excitation signal to generate a confusion excitation signal; the confusion interconnection delay module comprises a plurality of confusion interconnection delay arrays, and each delay array comprises a first buffer and a first multiplexer; the confusion interconnection delay module is used for receiving the trigger signal and the confusion excitation signal, determining a delay path according to the confusion excitation signal, and generating a delay output path through the delay path based on the trigger signal; and the response output module is used for generating an output response by comparing the delay differences of the signals in the delay output path. According to the embodiment of the invention, the uniqueness of the PUF is improved, the machine learning resistance of the PUF is improved, and the consumption of hardware resources is reduced. The circuit can be widely applied to the technical field of integrated circuits and control.

Disclosed is an encryption method for communication between a financial POS and a mobile terminal. The encryption method for communication comprises the steps: the financial POS and the mobile terminal generate a common temporary key Kmaster, the mobile terminal sends a Bluetooth address BD_ADDR to the financial POS, and the mobile terminal and the financial POS separately add the temporary key Kmaster and the Bluetooth address BD_ADDR of the mobile terminal into a key generation formula to generate an encryption key Kcipher; and the financial POS or the mobile terminal performs an exclusive OR operation on a plaintext data stream to be sent and the encryption key to generate an encrypted transmission ciphertext. The encryption method of the present invention enables data to be transmitted securely, provides a simple algorithm and occupies fewer software and hardware resources, thereby effectively ensuring a communication rate between the financial POS and the mobile terminal.

The invention discloses a multi-cloud data possession proving method, and relates to the field of cloud computing and data security. The method aims at solving the problems that in the multi-cloud storage environment, the data integrity verification efficiency is low, abnormity positioning is difficult, and damaged data is difficult to automatically repair. According to the method, a plurality of storage positions are intelligently distributed for data blocks through a dynamic weight model, and data fingerprints associated with multiple clouds are constructed; during verification, data block risk scores and random selection are fused to generate a challenge set, and each cloud service party calculates local response based on stored data blocks and fingerprints; the verifier aggregates all the responses, compares the responses with an expected value through a consistency verification function, and outputs a comprehensive verification result; if it is judged that the data are not completely held, an exception positioning and repairing mechanism is triggered. According to the method, efficient verification, accurate positioning and autonomous recovery of the integrity of the multi-cloud data are realized, and the reliability and security of cross-cloud storage of the data are remarkably improved.

The invention discloses an ultra-low power consumption physical unclonable function device based on a multi-time programmable nonvolatile memory. The ultra-low power consumption physical unclonable function device comprises two same multi-time programmable memory arrays, a transmission gate array and a sensing amplifier array, response values are generated by utilizing random distribution of bit line read current after multiple programmable memory cell programming caused by manufacturing process deviation. The ultra-low power consumption physical unclonable function structure designed by the invention is suitable for resource-limited Internet of Things edge equipment containing a multi-time programmable memory, and is extremely low in power consumption and relatively high in security.

This invention provides a method for detecting rotating debris in coal flow based on physical fuzzy modeling and scene-customized attention. The method includes: acquiring a clear coal flow image and then labeling non-coal debris targets in the image; establishing a dataset; constructing a debris detection network; constructing a physics-driven motion fuzzy mapping model; using the motion fuzzy mapping model to dynamically blur the clear coal flow image, generating training samples simulating motion fuzziness phenomena in a conveyor belt; training and optimizing the debris detection network; inputting a real-time coal flow image into the optimized network to obtain candidate detection results for non-coal debris targets; post-processing the candidate detection results and outputting the final filtered detection results. This invention can improve the stability and accuracy of debris detection under complex conditions of high-speed coal flow, reduce the influence of motion fuzziness and background interference, and provide technical support for the safety monitoring and automatic sorting of coal mine conveying systems.

The invention relates to the technical field of web crawlers, and discloses a web crawler-based financial information crawling method, which comprises the following steps of: collecting websites needing to be crawled, performing crawling test on the websites, judging whether the current website can be crawled or not according to a crawling test result, and crawling the websites capable of being crawled. The data conforming to the keyword is used as a first set, a crawling data collection strategy is carried out on the first set, and the data collection strategy specifically comprises the steps that the number of data collected each time is set, elements in the first set are selected, a comparison set is input, and the number of repetitions between the data collected each time and the elements in the comparison set is judged; and the repetition rate of each time is calculated, and the number of times of subsequent crawling is predicted according to the repetition rate.

This invention provides a power terminal data authentication method and system based on dynamic binding of network identifiers. First, it acquires a set of terminal operation and associated network topology data of the target power terminal within a preset time window. Dynamic network identifier generation parameters, including characteristics such as terminal state fluctuations, are generated from the terminal operation data. Based on these dynamic network identifier generation parameters and the network topology data, dynamic network identifier allocation is performed, generating a dynamic network identifier sequence associated with a sub-time period. This dynamic network identifier sequence is dynamically bound to the terminal operation data, generating a power terminal data set with time-series authentication tags. The tags are used to verify data integrity and source legitimacy. The tagged data is dynamically authenticated and matched according to preset rules, generating authentication results and policy adjustment parameters to adjust the generation parameter logic. Finally, the generation parameters are updated based on the results and parameters and synchronized to the terminal, triggering the data authentication iteration for the next time window.

The invention relates to the technical field of geographic information security, in particular to a high-precision map zero-watermark encryption method and device and electronic equipment. The method comprises the steps of obtaining binary copyright information of a map image based on a one-dimensional binary sequence of the map image; for each block divided by the map image, obtaining a block signal sequence of the block based on the geometric features and the attribute features of the block; segmenting the block signal sequence into a plurality of intervals according to a preset segmentation mode, and calculating a signal occurrence frequency in each interval; performing normalization processing on the signal occurrence rate, and obtaining zero watermark information based on the normalized data and column pixels of the map image; and completing zero-watermark encryption operation on the map image based on the binary copyright information and the zero-watermark information. According to the method, the zero-watermark algorithm with geometric attributes and attribute characteristics can be constructed at the same time.

The present invention relates to a method, device, equipment and medium for joint generation of multimodal molecules based on a diffusion model, and to the fields of medicinal chemistry and computer technology. The method integrates discrete and continuous diffusion mechanisms, and is used to learn and generate multimodal molecular representations including atomic properties, two-dimensional molecular structures and three-dimensional molecular coordinates to promote molecular structure-based drug design. Through the diffusion process, the method can effectively capture the probabilistic characteristics of molecular generation and analyze the effects of various factors on molecular structure. In addition, an innovative graph Transformer architecture is used to denoise the diffusion process, which can not only learn stable representations of atoms and bonds, but also learn molecular representations with high robustness to geometric transformations based on invariant constraints such as rotation and translation in three-dimensional space. The present invention also provides a device, computer equipment and medium for running the method. The method has very high molecular validity, uniqueness and stability.

The utility model discloses a fingerprint unthreaded container lid and container, including main lid body, mounting seat, fingerprint opening mechanism and upper lid, said main lid body lower part is equipped with said mounting seat, said mounting seat is equipped with the deformation seal ring, said main lid body contains said fingerprint opening mechanism, said upper lid covers said main lid body upper end face, said fingerprint opening mechanism is equipped with the deformation seal ring, said fingerprint opening mechanism is equipped with the deformation seal ring, said fingerprint opening mechanism is equipped with the deformation seal ring. The fingerprint opening mechanism is arranged in the main cover body, the fingerprint opening mechanism is sealed in the main cover body, and the fingerprint opening mechanism can work only when the fingerprint opening mechanism receives matched fingerprint data. Comprising a container body, a step is arranged on the inner side face of a container opening of the container body, the container opening of the container body is provided with the fingerprint opening unthreaded container cover, and the deformation sealing ring in the fingerprint opening unthreaded container cover is matched with the step. The locking and unlocking device is reasonable in design, the structure that locking and unlocking are conducted in a threaded mode in the prior art is finished, operation is more convenient, and the locking and unlocking device is more convenient for a user.

The utility model relates to the field of packaging boxes with lighting and writing functions, and discloses a packaging box with lighting and writing functions, which comprises a main body, an erasing mechanism is fixedly arranged at the front end of the main body, a switch button is fixedly arranged at the lower end of the main body, and the main body comprises a paperboard layer. A transparent acrylic plate is fixedly arranged on the inner side of the paperboard layer, the erasing mechanism comprises a second fixing plate, a fixing rod is arranged on the inner side of the second fixing plate in a clamped mode, and a clamping block is fixedly arranged at the lower end of the fixing rod. The erasing mechanism facilitates writing of a user and erasing of written content, the switch button facilitates control of the small lamp, the paperboard layer facilitates placement of articles and plays a supporting role, the transparent acrylic board layer facilitates writing and facilitates checking of the internal articles, and therefore the writing efficiency is improved. More mechanisms can be conveniently installed through the second fixing plate, and the brush can be conveniently fixed through the fixing rod.

The invention discloses an audio classification method, system and device based on deep learning and a medium, and the method comprises the steps: obtaining an audio sequence, carrying out the preprocessing of the audio sequence, and obtaining an audio data set; segmenting an audio frame according to the audio data set, and extracting a frequency spectrum sequence, a wavelet phase diagram, a wavelet intensity diagram and a Mel spectrum of the audio data set; respectively extracting feature vectors corresponding to the audio frames, the spectrum sequences, the wavelet phase diagrams, the wavelet intensity diagrams and the Mel spectrograms by adopting a plurality of groups of independent multi-scale feature extraction modules to obtain feature vectors extracted by each group of multi-scale feature extraction modules; performing feature fusion on the feature vectors extracted by each group of multi-scale feature extraction modules to obtain a feature fusion vector; and performing audio classification according to the feature fusion vector to obtain an audio classification result. According to the invention, the accuracy and anti-interference performance of audio classification can be improved.

The present invention provides a wireless terminal encryption authentication method and system based on auditory and tactile interaction, which relates to the field of encryption authentication technology, including collecting user's voice instructions through a microphone array, obtaining compact feature representation, generating keyword vectors, extracting time-frequency energy distribution features, and forming a seed key vector; collecting continuous touch trajectory data through a flexible tactile sensor array, constructing a six-dimensional touch gesture feature manifold, performing spatiotemporal sequence modeling based on a graph attention network, extracting the spatiotemporal evolution pattern of the gesture manifold, generating a tactile key vector based on a manifold arrangement learning algorithm, and fusing to generate a composite key vector; generating an authentication request data packet, sending it to an authentication server through an authentication channel, demodulating it through continuous quantum state detection, and extracting the composite key vector; evaluating cosine similarity respectively through deep metric learning, determining authentication, and sending authentication credentials, which are stored in a blockchain account book.

The invention provides a direct shear test soil parameter calibration method fusing numerical simulation and machine learning, and relates to the field of geotechnical engineering. According to the direct shear test soil parameter calibration method fusing numerical simulation and machine learning, high-fidelity finite element numerical simulation, Kernel PCA dimension reduction, a PINN agent model and Bayesian parameter inversion are subjected to systematic deep fusion for the first time. The progressive damage process from the edge to the interior and non-uniform stress-strain distribution of a soil body in a direct shear test are precisely restored through high-fidelity finite element numerical simulation, low-dimensional essential characteristics of a high-dimensional response curve are extracted through a dimension reduction method, and a constitutive model and a strength criterion are embedded into an agent model to guarantee physical rationality. And finally, parameter estimation is realized through a Bayesian parameter inversion framework. The combination solves the interference of non-uniform stress and strain of the soil body in the direct shear test on parameter calibration, so that the calibration result better fits the actual mechanical property of the soil body.

The present application discloses a method, system and device for deduplicating Chinese addresses based on status bits, and the method specifically includes the following steps: obtaining original address data; obtaining the first three levels of addresses and suffix address strings in the original address data in combination with national administrative division data; traversing the original address data using HashSet, and setting the status bits corresponding to the original address data; checking the status bits, and correcting the status bits; and removing the repeated first three levels of addresses and / or suffix addresses according to the corrected status bits. Through the present application, it is ensured that the repeated characters of the address string itself are found, and the address string is deduplicated.

The invention relates to an identity authentication method and device for accessing an application and computer equipment. The method comprises the following steps: determining an application type of a to-be-accessed application; the application type comprises an application with session control and an application without session control; key information is inquired and determined according to the application type, and a random secret order is extracted from the key information according to a preset mode; splicing the random secret order and the timestamp information of the current time to obtain a plaintext, and encrypting the plaintext according to the secret key information to obtain a secret order value; obtaining identity authentication information according to the type identifier of the application type of the to-be-accessed application, the application identifier of the to-be-accessed application and the secret order value; and sending the application access request for the to-be-accessed application and the identity authentication information to a server side. By adopting the method, the identity authentication processing efficiency can be improved.

The present application relates to the field of geographic information security technology, and in particular to a high-precision map zero-watermark encryption method, device and electronic device. The method includes: based on the one-dimensional binary sequence of the map image, obtaining the binary copyright information of the map image; for each block divided by the map image, based on the geometric features and attribute features of the block, obtaining the block signal sequence of the block; dividing the block signal sequence into multiple intervals according to a preset segmentation method, and calculating the signal occurrence frequency in each interval; normalizing the signal occurrence rate, and obtaining zero watermark information based on the normalized data and the column pixels of the map image; completing the zero watermark encryption operation of the map image based on the binary copyright information and the zero watermark information. This method can simultaneously construct a zero watermark algorithm with geometric attributes and attribute characteristics.

The invention discloses a binary field lattice-based linear homomorphic signature method and a binary field lattice-based linear homomorphic signature system. The method comprises the following steps: generating system parameters required by the signature method; generating a public key and a private key of a signer by using the generated system parameters, generating a signature by using the private key, and verifying the signature by using the public key; the message is signed by using system parameters, a public key and a private key, and the signature can ensure the integrity and authenticity of the message; verifying the generated signature; and combining a plurality of verified messages into one message, and combining a plurality of signatures corresponding to the messages into one signature. The system comprises a system parameter generation module, a key generation module, a signature module, a verification module and a signature combination module. Compared with an existing lattice-based linear homomorphic signature method, the lattice-based linear homomorphic signature method has the advantages in the aspects of efficiency and safety.

The invention discloses a unique primary key identifier generation method and device, and the method comprises the steps: reading a to-be-processed data file, obtaining a total number value of the file record number of the to-be-processed data file, generating non-repeated initial random numbers with the number corresponding to the total number value according to a preset script, and generating a unique primary key identifier of the to-be-processed data file; and storing the non-repeated initial random numbers with the number corresponding to the total number value into a list container, for each file record in the to-be-processed data file, obtaining the date of the primary key identifier and the batch number of the primary key identifier from the file record, and reading a target random number from the list container according to a preset reading mode, the preset reading mode is used for ensuring the uniqueness of the read target random number, and generating a unique primary key identifier recorded by the file according to the date of the primary key identifier, the batch number of the primary key identifier and the target random number.

This invention discloses a key negotiation method, apparatus, device, and medium for two-way authentication of unmanned aerial vehicles (UAVs), relating to the field of data security technology. The key negotiation method for two-way authentication of UAVs involves: generating a temporary token based on the identity authentication of the UAV operator logging into the cloud; verifying the connection request between the ground control station and the UAV using the temporary token, and generating a temporary asymmetric key pair after the connection request is verified; performing two-way authentication between the UAV and the cloud using the temporary asymmetric key pair and a random verification code; and encrypting public information between the UAV and the cloud using a key negotiation algorithm after successful two-way authentication to generate a session key. The session key is used to encrypt data transmitted between the UAV and the cloud.

This invention discloses a method and system for encrypted storage of power data, applied in the field of power system information security technology. The method includes: acquiring power data to be encrypted from a target power system; determining a dynamic time-series characteristic sequence based on historical operating status data of the target power system; grouping the power data to be encrypted into individual data groups; determining a session key for each data group based on the analysis results of the historical operating status data; encrypting each corresponding data group using each session key to obtain ciphertext data; encrypting all session keys using the master key in an asymmetric encryption algorithm to obtain encrypted session keys; associating and encapsulating all ciphertext data and encrypted session keys, and storing the association and encapsulation result in a secure database. This invention achieves secure and stable encrypted storage of power data.

The invention discloses arthrobacter for improving acidic white pulp soil and a microbial agent and application of the arthrobacter. The Arthrobacter sp. W36-1 is preserved in CGMCC (China General Microbiological Culture Collection Center), and the preservation number of the Arthrobacter sp. W36-1 is No. 31903. The bacterial strain is separated from white pulp soil, and is characterized by having efficient biological acid reduction (alkali production) capability, and a culture medium with the pH value of 5.0 can be increased to 7.66 within 72 hours. Under the acid stress condition that the pH value is less than or equal to 5.5, the strain can synchronously play multiple functions of dissolving phosphorus, dissolving potassium, fixing nitrogen, producing IAA and EPS and the like. Pot experiments prove that the microbial inoculum can effectively improve the pH value of acidic white slurry soil, remarkably relieve damage of acid stress to soybeans, promote root growth of the soybeans, increase the number of root nodules and biomass and have a good growth promoting effect on rice germination under acid stress.

The application relates to the technical field of sealing test equipment, and discloses an air tightness experimental device and method controlled automatically. The air tightness experimental device controlled automatically comprises a testing machine main body, a test platform, an end sealing mechanism and a control end. A supporting piece for supporting a measured pipeline is arranged on a test station on the test platform. The end sealing mechanism is arranged on the test station correspondingly and is used for mechanically sealing two ends of the measured pipeline. The end sealing mechanism comprises two sealing clamps, a displacement driving unit, a position adjusting unit, a pressure sensing unit, a posture recognition unit and a sealing property pre-checking unit. Through the arrangement of the end sealing mechanism, intelligent and accurate centering of the sealing clamp and the pipeline port is realized. In combination with pressure sensing and servo closed-loop control, the clamping pressure can be self-adaptively adjusted according to the actual contact state, the uniformity and reliability of the sealing interface are ensured, and the test result is more accurate.

The invention discloses a radio frequency fingerprint enhancement circuit based on a physical unclonable function digital security engine. The radio frequency fingerprint enhancement circuit comprises a digital security engine module, an all-digital phase-locked loop module and a two-point modulation module, the digital security engine module is used for enhancing the difference of carrier frequency offset between the oscillators in different all-digital phase-locked loop modules and expanding the range of recognizable carrier frequency; the two-point modulation module is used for compensating the high-frequency information filtered by the all-digital phase-locked loop module, so that the output end of the oscillator recovers complete modulation information; and the all-digital phase-locked loop module is used for generating a carrier frequency required by signal transmission of the transmitting end. According to the embodiment of the invention, through mutual cooperation of the modules, the digital security engine module is used for enhancing the difference of carrier frequency offset between different oscillators and expanding the range of recognizable carrier frequency offset, so that the recognition overhead of a receiving end is reduced, and the recognition accuracy is improved.