16results about How to "Guaranteed credibility" patented technology

This utility model provides a fixing device for mounting a shooting device, including an antenna, a fixing mechanism for fixing and connecting the shooting device, and a connecting mechanism. The fixing mechanism includes a fixing base, an adjustment component rotatably mounted on the side wall of the fixing base, and two clamping arms disposed on opposite sides of the fixing base for clamping the shooting device. A fixing hole is provided through the fixing base. The connecting mechanism includes a connecting base and a signal transmission component disposed on the connecting base for electrically connecting the shooting device. The surface of the connecting base facing the fixing base is recessed inward to form a connecting groove for mounting the signal transmission component. The fixing device provided by this utility model ensures the stability and reliability of the connection between the shooting device and the antenna, thereby ensuring stable antenna signal transmission, ensuring the continuity and credibility of key data, and thus ensuring the effectiveness of law enforcement evidence collection and improving work efficiency.

This invention discloses an intelligent adaptive dose verification calculation method and system. The intelligent adaptive dose verification calculation method includes: obtaining preliminary dose distribution data for a patient based on a deep learning-based dose prediction model; dynamically assigning variance reduction parameters to particles in a Monte Carlo simulation based on the high and low dose distribution information in the preliminary dose distribution data, wherein the variance reduction parameters include simulation weights, with simulation weights assigned to particles predicted to be in high-dose regions being less than those assigned to particles predicted to be in low-dose regions; and using a Monte Carlo dose calculation engine, simulating the planned beam based on the dynamically assigned variance reduction parameters to obtain high-precision verification dose distribution data. This invention's intelligent adaptive dose verification calculation method ensures the physical authenticity of the final verification dose distribution and the credibility of the "gold standard."

This invention relates to a method and system for accessing the trusted space of inland waterway shipping data under zero-trust conditions. It includes defining the shipping trust status and transformation rules of participating entities, constructing a risk scoring model to calculate the risk score of shipping behavior, introducing federated learning to improve the accuracy of the shipping behavior risk score, constructing a trust calculation function to calculate dynamic trust values ​​in real time, designing hierarchical access decision rules for hierarchical authorization to achieve access control, and submitting the hash value of logs to the blockchain to drive the update of shipping trust status, forming a closed loop of credit update and access control. This invention provides a systematic solution for the Jianghuai inland waterway shipping industry that balances strict security, business efficiency, and compliance requirements, achieving the coordinated evolution and proactive improvement of the security defense capabilities of the entire Jianghuai inland waterway shipping ecosystem.

This invention provides a real-time analysis and intelligent optimization system for software operation data based on machine learning, comprising: a data acquisition module for acquiring real-time operational data of the software operation system, including request arrival logs, service processing logs, and resource usage information; a mechanism model construction module for establishing a queuing control mechanism model based on the real-time operational data and defining a set of operational operations within the mechanism model; an operational state estimation module for estimating the real-time operational data based on the mechanism model to obtain request arrival rate intervals, service capacity intervals, and burst traffic intervals, forming a set of uncertainty intervals; and a service level target constraint module for selecting tail performance indicators as service level targets based on the set of uncertainty intervals. This invention can continuously guarantee service level targets under dynamic fluctuations and uncertain environments, improving the stability and resource utilization of the software operation system.

The present application relates to code catalog management technical field, especially for a kind of standardization code catalog management method and system, the present application constructs the standard catalog code base covering multiple geological elements, different geological elements are cataloged data using the mode of subtab classification collection, geological feature change node is automatically identified based on the depth interval of code in each subtable, complete continuous mutually exclusive geological layering processing, through preset description template and code semantic mapping rule, standardization description text in line with geological specification is automatically generated, finally geological layering result, description text and original catalog data are associated storage, realize achievement bidirectional tracing and standardization output.The present application solves the pain points of traditional geological catalog standard not unified, low efficiency, achievement not standard, data not traceable, realizes geological catalog whole-process standardization and automation, greatly improves cataloging operation efficiency and achievement quality.

This invention relates to the field of medical information security technology, and discloses a blockchain-based method and system for auditing and detecting unauthorized access to medical data. The method includes: structurally modeling medical data access behavior to construct access behavior feature vectors; performing multi-source fusion risk assessment based on an access control policy model and a behavior learning model to obtain a comprehensive risk value; executing a graded processing strategy according to the risk level and generating corresponding audit logs; structurally organizing the audit logs and constructing a Merkle tree to generate data fingerprints; writing the data fingerprints and summary information into the main chain, storing the complete audit logs in a side chain or off-chain storage, and achieving consistency verification through Merkle proofs; using smart contracts to verify the audit data and automatically execute access control responses, while simultaneously feeding back the audit results for model updates. This invention enables real-time detection, graded processing, and trusted auditing of medical data access behavior.

The application provides a kind of on-chain and off-chain data consistency verification method of RWA asset transaction, comprising: (1) deploying smart contract in blockchain network;(2) obtain chain transfer record and off-chain transaction order;(3) generate standardized data unit DU;(4) calculate off-chain root hash;(5) calculate on-chain root hash;(6) compare off-chain root hash with on-chain root hash;(7) if inconsistent, generate random sampling index set;(8) locate Merkle path proof;(9) verify Merkle path proof;(10) generate structured difference report.The application provides an efficient, automated, dynamically updated, privacy-protected and compliant consistency verification solution without introducing centralized risk, ultimately improving the data credibility and reconciliation efficiency of RWA asset transaction, reducing business risk and operation cost, and adapting to the actual needs of high-frequency and large-scale RWA transaction scenarios.

This application provides an adaptive blockchain notarization method, system, blockchain gateway device, and computer program product for IoT data. The main components include: receiving raw data transmitted from IoT devices; calculating the notarization value score of the raw data based on at least two of the following: risk deviation index, event scarcity index, device reputation weight index, and service interruption indication index; periodically acquiring the operating status parameters of the blockchain network and calculating the current congestion index based on the operating status parameters; calculating a rapid notarization threshold and an aggregated notarization threshold based on the current congestion index; and performing the following diversion processing on the raw data according to the relationship between the notarization value score and the rapid notarization threshold and the aggregated notarization threshold, respectively, to complete the notarization of data transmitted by IoT devices, achieving adaptive resource optimization and timely protection of critical data.

The present invention provides a dynamic immune end-to-end trusted sharing method for multimodal data in a vehicle-road-cloud system, belonging to the field of information security technology. The method includes: using a vehicle-side or roadside unit with a digital certificate as the sending end, securely encapsulating the original multimodal data to generate a secure encapsulation result, and transmitting the secure encapsulation result to a cloud platform; using the cloud platform as the receiving end, recovering the original multimodal data; using the cloud platform to perform a trustworthiness assessment of the sending end based on the recovered original multimodal data (both current and historical), obtaining multi-dimensional assessment indicators; using a preset trust fusion model combined with the multi-dimensional assessment indicators to calculate and generate a dynamic trust value for the sending end; and triggering corresponding security handling strategies based on the dynamic trust value. This invention, through the synergistic linkage of dynamic trust value and security strategies, enables the system to possess adaptive perception and proactive immunity against internal threats, effectively ensuring the trustworthiness of shared data.

The application relates to the technical field of medical data storage and the technical field of blockchains, in particular to a medical data storage method and system based on a blockchain and an IPFS. The application constructs a hybrid architecture of a blockchain storage module and an IPFS storage module, records a lightweight index record containing a data identifier, an IPFS content identifier and a hash value on a chain, stores encrypted actual medical data in an IPFS distributed network, completes encryption and double hash calculation by a data uploading module when uploading, and completes integrity verification based on the on-chain hash value by a data downloading module when searching, so that the medical data is stored at low cost and high efficiency, and the data is guaranteed to be credible, complete and traceable in the whole life cycle by virtue of the tamper-proof nature of the blockchain and the double hash mechanism.

This invention provides a data processing method, apparatus, electronic device, and storage medium for a domain controller, relating to the field of communication technology. By sending a current status detection request to the domain controller via a first communication channel, if a power-on confirmation message based on the current status detection request is not received from the domain controller within a preset time period, the reception of test data from the domain controller transmitted via a second communication channel is stopped. If a power-on confirmation message based on the current status detection request is received from the domain controller within the preset time period, the reception of test data from the domain controller continues via the second communication channel. This effectively addresses situations where the domain controller suddenly goes offline or loses power, thereby improving the applicability of the domain controller testing method and ensuring the reliability of test results during domain controller testing, thus guaranteeing the safety and reliability of the vehicle.

The application relates to the technical field of video tampering detection, and discloses a monitoring video tampering detection method and system based on feature data feedback, and a monitoring video tampering detection method based on feature data feedback, which comprises the following steps: step S101, calculating a normalized brightness frame; step S102, generating a block boundary activation field; step S103, generating a multi-scale grid energy score; step S104, calculating a multi-scale spectral kurtosis; step S105, screening a hidden dominant candidate set; and step S106, judging the classification label of non-malicious error concealment and malicious frame deletion. The application firstly performs normalization processing on the brightness component of a video frame, reduces the interference of non-tampering factors such as exposure changes, then captures the structural traces of error concealment through a time derivative field and a block boundary activation field, strengthens feature differences through frequency domain transformation and multi-scale energy analysis, and finally completes classification in combination with a presentation timestamp to construct a decision index.

This invention relates to a method for confirming the virtual center position of an ultra-precision machine tool based on straight groove cutting. The workpiece and a diamond turning tool are fixed on the C-axis and B-axis of the ultra-precision machine tool, respectively. The workpiece is turned to eliminate Z-axis tool setting errors. After tool setting is completed using a tool setter, the initial virtual center position is recorded, and the diamond turning tool is controlled to plan the first straight groove. The virtual center function is activated, and the B-axis is rotated by an angle α, controlling the diamond turning tool to plan the second straight groove. Then, the B-axis rotation angle is adjusted to -2α, controlling the diamond turning tool to plan the third straight groove. The depth of the three straight grooves is measured along the Z-axis and recorded. The angle θ between the initial virtual center, the actual virtual center, and the B-axis rotation center, as well as the distance L' from the actual virtual center to the B-axis rotation center, are calculated to confirm the position of the actual virtual center. When machining complex feature structures, this invention can greatly improve the efficiency of toolpath programming, effectively reduce machining path deviations, and improve the surface quality of ultra-precision machining.

The application relates to an access method and system of an inland shipping data trusted space under zero trust, which comprises the following steps: defining shipping trust states of participating entities and conversion rules, constructing a risk score model to calculate a shipping behavior risk score, introducing federal learning to improve the accuracy of the shipping behavior risk score, constructing a trust calculation function to calculate a dynamic trust value in real time, designing hierarchical access decision rules for hierarchical authorization, realizing access control, submitting a hash value of a log to a block chain, driving shipping trust state updating, and forming a closed loop of credit updating and access control. The application provides a systematic solution for Jianghuai inland shipping, which takes into account strict safety, business efficiency and compliance requirements, and realizes the collaborative evolution and active improvement of the whole Jianghuai inland shipping ecological security defense capability.

Embodiments of the present application provide a construction scene automatic mining and data processing method, device, equipment and medium. The method comprises: acquiring scene mining data, the scene mining data comprising at least one of vehicle trajectory data, crowd-sourced image data, network public opinion information and after-sales reports; based on the scene mining data, at least one candidate construction scene is identified; scene verification is performed on each candidate construction scene, and the map data is updated according to the verification result. The method is used to achieve high-reliability automatic mining of construction scenes, thereby improving the accuracy of map data.