18results about How to "Improve uniqueness" patented technology

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.

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.

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 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 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.

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 relates to a perceptual information interaction method and device and a storage medium. Comprising the steps that when a triggering condition of a sensing data request message is met, the sensing data request message is sent to a target node, and the triggering condition comprises any one of the following items: a source node senses a new target, the source node starts to work, and the source node does not receive a sensing data interaction message from the target node in a preset time window; and receiving a perception data request confirmation message sent by the target node. By adopting the method and the device, the interaction of the sensing information among the nodes can be realized, so that the de-duplication and association fusion of a plurality of tracks of the same sensing target are performed based on the interacted sensing information.

The present application belongs to the field of microbial genomics and bioinformatics, and discloses a method for identifying and predicting the phenotype of filamentous ascomycetes. The method for identifying the phenotype-associated k-mer of filamentous ascomycetes comprises: extracting the genome k-mer of a plurality of filamentous ascomycete strains to obtain a first set; constructing a genotype matrix with strains as rows, k-mers as columns, and k-mer presence / absence binary feature vectors as elements based on the first set; performing association analysis on the k-mers in the genotype matrix and the target phenotype to screen for significantly associated k-mers and obtain phenotype-associated k-mers. In the present application, the k-mer species number change rate and the unique limit k value can be used to obtain real alignable variations and reduce the interference of RIP repetitive sequences. The present application can quickly and accurately obtain phenotype-associated k-mers. The filamentous ascomycete phenotype prediction model constructed based on the phenotype-associated k-mers has high prediction accuracy and high calculation speed.

This application discloses a blockchain-based multi-level encryption and access control system for medical data, including a medical data acquisition module, a medical data encryption module, a blockchain network module, an access control module, and a user processing module. It also discloses a blockchain-based multi-level encryption and access control method for medical data, including: acquiring medical data; applying a multi-level encryption strategy to process the data to obtain encrypted medical data, an encrypted symmetric key, and an initial hash value; generating a new block; uploading the encrypted medical data, symmetric key, and initial hash value to the new block; re-hashing the encrypted medical data and symmetric key; comparing the hash value with the initial hash value to verify that the data has not been tampered with; after verification, using a smart contract for access control; decrypting the symmetric key to decrypt the encrypted medical data; and accessing and managing the medical data through a user interface. This application can increase the difficulty of data decryption in the system, ensuring data integrity and security.

The invention provides a device and method for automatic sampling inspection and data binding of plasma bags, and belongs to the technical field of biopharmaceutical production automation. The device comprises a conveying module, a counting and positioning module, a robot grabbing module, a weighing module, an information acquisition module and a control module; the conveying module comprises a first plasma conveying track and a second plasma conveying track, and further comprises a belt control motor and a belt control encoder; the counting and positioning module comprises a plasma bag counting and positioning device; the robot grabbing module comprises a plasma grabbing mechanical arm and a plasma putting-back mechanical arm; the weighing module comprises a weighing platform; the information acquisition module comprises a photographing lens, a light supplementing lamp and a code scanner; the control module comprises a control screen. The system stably operates at a low temperature, supports flexible setting of a sampling inspection proportion, adapts to production requirements of different batches, and improves the compliance and the intelligent level of plasma sampling inspection in the biopharmaceutical industry.

This invention relates to the field of data fusion processing technology, and discloses a vehicle event fusion method and system based on the collaboration of MQ messages and cached states. The method includes: constructing a set of input parameters for events to be fused; performing time window repetition filtering; extracting the current state transition judgment parameter set; generating a target fusion event result set; and generating event fusion processing results. Compared to existing technologies that rely solely on single vehicle state reporting information for event recording, especially under conditions where intermediate states exist during vehicle lifting and message arrival times are unstable, this method addresses the technical problem of failing to accurately distinguish between vehicle lifting events and lowering events. By collaboratively verifying the current state field in the MQ message with the previous state field in the Redis cache, and combining this with event reporting time window filtering, this application achieves accurate fusion and identification of vehicle events, improving the accuracy of vehicle event processing.

The invention discloses an ultrasonic signal processing method and device, equipment and a storage medium. Inputting the environmental noise and the random noise into a generation network to generate a pulse width modulation (PWM) coding parameter; generating an ultrasonic signal based on the PWM coding parameter, and transmitting the ultrasonic signal; collecting an echo signal, inputting the echo signal and the ultrasonic signal into a recognition network, and outputting a first recognition result; and if the identification result is that the echo signal is the echo signal corresponding to the ultrasonic signal, determining a target distance based on the receiving time of the echo signal and the transmitting time of the ultrasonic signal. According to the method and the system, the dependence on high-performance modulation hardware is broken through, a PWM coding ultrasonic signal with high uniqueness and strong anti-interference capability is automatically generated, and high-precision detection and matching of an echo signal are realized, so that the detection precision, the robustness and the real-time processing capability of an ultrasonic radar system in a complex dynamic environment are remarkably improved.

The application provides a kind of multi-modal feature-based internet of things equipment fingerprint identification method and system, equipment, applied to network traffic analysis technical field.The method comprises: obtaining the network traffic data of each internet of things equipment in target internet of things system for mutual communication, and extracting flow feature and sensitive text feature in network traffic data;Based on the pre-trained natural language model, the sensitive text feature is encoded and processed to convert the sensitive text feature into the corresponding high-dimensional feature vector, and the sensitive text feature vector is obtained;Based on the importance of each feature, the flow feature vector and the sensitive text feature vector are weighted and fused to obtain the fusion feature vector;The fusion feature vector is input into the trained equipment identification model for equipment fingerprint identification to obtain the identification result;The sensitive text feature is a feature with context semantic coherence and specific syntax structure.The application solves the problems of low identity recognition accuracy and vulnerability of internet of things equipment.

The invention discloses a preparation method of an artificial diamond, and relates to the technical field of preparation of artificial diamonds. According to the preparation method disclosed by the invention, unreacted carbon and nitrogen elements in the originally discharged tail gas are converted into available gaseous carbon and nitrogen sources again through a technical path of tail gas recovery, pyrolysis purification and reutilization, and the available gaseous carbon and nitrogen sources are introduced into an MPCVD deposition system again to participate in diamond growth, so that the total utilization rate of the carbon and nitrogen elements in the hair is greatly increased, and the production cost is reduced. While the purity of the diamond is ensured, the uniform color of the diamond is ensured, and the requirements of high-grade customized diamond customers for making commemorative large-size / high-purity diamonds are met.

The invention discloses a delivery receipt generation system for delivery service, and relates to the technical field of delivery receipt generation, and the system comprises a data collection module which carries out the original image collection of a physical paper delivery receipt, generates a physical pixel unit and a template pixel unit, and constructs a mixed visual pixel pool; the visual substrate processing module is used for extracting a real object pixel unit from the mixed visual pixel pool, executing gray scale inverse conversion, positioning a putting node based on a gray scale difference value and randomly putting fragments to form a cross-domain visual fragment fusion substrate; the anti-counterfeiting character embedding module is used for extracting a special-shaped embedding carrier of a cross-domain visual fragment fusion substrate based on connected domain analysis, and embedding the fine character units into the corresponding special-shaped embedding carrier to obtain a visual fusion image; and the output module is used for executing secondary gray scale inverse restoration on the non-core anti-counterfeiting region of the visual fusion image to generate an electronic delivery receipt with an anti-counterfeiting traceability mark, so that the beneficial effect that the visual form of the receipt cannot be copied is realized.