17results about How to "Achieving verifiability" patented technology

This invention discloses a method for diagnosing sewage leaks in drainage pipes based on the introduction of clean water, specifically relating to the field of municipal engineering. The method includes: collecting water samples from adjacent manholes at both ends of the pipe to be inspected on a sunny day; pre-treating the samples and then performing fluorescence detection to obtain an initial fluorescence value F; introducing clean water at a known flow rate q0 into the downstream manhole's inlet pipe; after the clean water and sewage are fully mixed, collecting a water sample from the downstream manhole; pre-treating the sample and then performing fluorescence detection to obtain a fluorescence value F' from the downstream manhole; and introducing clean water at a known flow rate into the upstream manhole's inlet pipe; after the clean water and sewage are fully mixed, collecting a water sample from the upstream manhole; pre-treating the sample and then performing fluorescence detection to obtain a fluorescence value F'' from the downstream manhole. By introducing clean water into the upstream and downstream manholes and combining it with the fluorescence conservation principle, the leakage amount and uncertainty are calculated, thus solving the problems of high cost of video detection, low accuracy of flow monitoring, and difficulty in tracing the source of low-pollution water.

The application discloses a semiconductor thin film deposition process intelligent recommendation system and method based on a knowledge graph, belongs to the technical field of semiconductor manufacturing processes, and comprises the following: a semiconductor thin film deposition process knowledge graph construction module; a prompt word template generation module: used for receiving process requirements and constraint conditions input by a user, performing semantic analysis on the process requirements and constraint conditions, filling the analysis results into a preset prompt word template, and outputting standardized instructions meeting the calling requirements of a large language model; and a large language model reasoning module: used for receiving the standardized instructions, performing semantic retrieval and logical reasoning on the standardized instructions within the constraint range of the semiconductor thin film deposition process knowledge graph, generating a plurality of candidate thin film deposition process schemes meeting process constraint conditions based on entity relationships and causal associations in the semiconductor thin film deposition process knowledge graph; and the application constructs a complete process recommendation solution and exhibits significant advantages in multiple aspects.

The application discloses a verifiable privacy protection convolutional neural network system, which uses a given trained convolutional neural network on private data, characterized in that a private verifiable scheme or a public verifiable scheme is adopted. The application provides a verifiable privacy protection convolutional neural network system, which realizes data privacy and verifiability at the same time. The system provides two schemes to meet the needs of different application scenarios, both of which realize data privacy and verifiability. The difference lies in that one is a private verifiable scheme with faster verification speed but needing a private key in the verification process, and the other is a public verifiable scheme with slower verification speed but not needing a private key in the verification process. The system disclosed by the application has strong application value.

The present application takes the position closed structure and the orthogonal component difference as the core, converts the information to be processed into the residual structure representation under the background reference state constraint, the background reference state is constructed by the receiving and transmitting parties according to the consistent generation rule, and can be used as the structural key or the key derivation reference in the safe scene, so that the transmission and storage load can be concentrated on the residual field and the necessary auxiliary field. The framework uniformly carries the encoding, compression, encryption, inversion, decoding and structured domain calculation and topological consistency reasoning, realizes the integration of compression and encryption, storage and calculation. The system improves the equivalent storage density and energy efficiency performance through structured aggregation, and provides consistent logical pointing and calculation basis for reconstruction and reasoning.

The application discloses a carbon emission data recording method, system and nonvolatile storage medium. The method comprises the following steps: obtaining energy consumption data of a target object in a current recording period; receiving carbon emission coefficient data sent by a cloud management module; determining carbon emission amount data of the target object in the current recording period based on the energy consumption data and the carbon emission coefficient data; packing the carbon emission amount data, the energy consumption data and the carbon emission coefficient data to form a carbon data recording package, and writing the carbon data recording package into a distributed block chain through a block chain node corresponding to the target object to obtain a block chain storage hash value; and uploading and recording the carbon data recording package and the block chain storage hash value in the cloud management module. The application solves the technical problem that current enterprise carbon emission data lacks local precise calculation, reliable recording and tamper-proof storage.

The application discloses a kind of machining order full life cycle management method and system, specifically related to machining production management and industrial informatization technical field, including obtaining order record, resource time period record and event record, according to order mark, resource mark and time period mark association, determine original attribution time period, output order time period dataset;According to order time period dataset, extract the original attribution time period and present attribution time period before and after insert order event, rework event and outsourcing abnormal event, determine the occupied time period, and write the occupied time period into corresponding order to form performance obligation item, output performance obligation result;By comparing the original attribution time period and present attribution time period before and after event, and combining edge computing, the occupied time period is written into corresponding order to form performance obligation item, which can explicit and traceable the subsequent execution opportunity loss caused by shared resource occupation, thereby relatively improve the problem that subsequent performance loss is difficult to close loop digestion by only adjusting current order.

The invention relates to the technical field of internet advertisement optimization, and discloses an advertisement originality real-time optimization method based on dynamic scene perception, which is used for solving the problem that stable, timely and verifiable real-time optimization control on a target originality unit is difficult in a traditional method. The method comprises the following steps: firstly, constructing an advertisement optimization session in an advertisement display task, continuously obtaining scene signals, creative configuration states and feedback events, carrying out scene undertaking judgment, scene segmentation and creative unit group division, judging whether the result is caused by scene change or creative adjustment, and then determining an adjustment opportunity and an adjustment path of a target creative unit group. And checking, backspacing and cross-session undertaking are carried out, so that the accuracy, timeliness, stability and verifiability of real-time optimization of the advertisement originality are realized.

The application discloses a semantic deviation evolution prediction method and system, and belongs to the technical field of natural language processing and artificial intelligence. The method maps input data to a unified semantic vector space, constructs a literal semantic vector, determines a standard context based on historical corpus and context conditions, and generates a corresponding context intention semantic vector. The semantic deviation between the literal semantic vector and the context intention semantic vector is calculated, and an initial judgment of semantic deviation triggering state is made by using a judgment model trained by contrast learning. For samples judged as semantic deviation, a predictive generation reasoning is performed under the semantic consistency constraint, a potential semantic evolution path is simulated and generated, and a semantic evolution distribution stability is checked. Finally, the semantic deviation, evolution confidence ranking result and context construction basis are output, realizing quantitative judgment, evolution prediction and explainable analysis of semantic deviation.

The application discloses a kind of multi-authority attribute-based encryption protocol implementation method and system, method as follows: one, each attribute management authority center executes main key generation according to the attribute set managed by itself;Two, client obtains the key corresponding to attribute set from multiple attribute management authority centers;Three, server selects random number, encrypts model parameter according to access structure, generates ciphertext component containing policy information;Four, client reconstructs coefficient using the private key component held locally, calculates shared secret locally and decrypts model parameter if attribute satisfies access structure;If attribute does not satisfy access structure, ciphertext does not need re-encryption through policy token to realize policy update.The protocol system proposed in the application significantly improves the flexibility, verifiability and system stability of permission management in large-scale collaboration, long-term task and high supervision requirement application scenarios.

This invention relates to a data processing method, wearable device, medium, and program product for wearable devices based on a secure communication chip, and pertains to the fields of IoT communication and information security technology. After acquiring multimedia service data, the wearable device performs segmented hash calculations and constructs a local Merkle tree through an independent block node management unit. This compresses the large volume of multimedia service data into a compact root node hash value. Then, a physically non-cloning function derives the device's private key in real time to perform a digital signature on the root node hash value and combines a timestamp and digital identity identifier to generate evidence storage record data. Simultaneously, the communication baseband unit is only briefly activated during its predetermined sleep / wake cycle to sample signal quality parameters and remaining battery power parameters. Based on a dual-threshold joint evaluation result, it automatically switches between a direct on-chain path and a P2P relay path, improving the wearable device's continuous and reliable evidence storage capability under extreme physical constraints.

This invention discloses a blockchain-based post-investment management system for financial equity, relating to the fields of blockchain and financial management technology. The system includes a governance token generation module, a proposal initiation module, a privacy voting module, a liquidation execution module, and a regulatory endorsement module. The governance token generation module issues governance tokens mapping to equity shares on a consortium blockchain; the proposal initiation module creates governance proposals and triggers atomic locking operations; the privacy voting module receives zero-knowledge proofs submitted by shareholders, verifies their control over the tokens, updates the token status to "voted," and accumulates weights; the liquidation execution module updates the token status to "expired" or "valid" at the voting deadline, and determines the proposal's passage based on a comparison of the accumulated weights with a threshold; the regulatory endorsement module receives and associates the signature of the root hash from regulatory nodes. This invention achieves on-chain lifecycle management of voting rights through a governance token state machine, improving the opaque voting process and the difficulty in verifying results in post-investment governance.

This invention discloses a distributed intrusion detection method and system based on flexible, secure, and trusted federated learning, belonging to the field of network data security and sharing. The method includes: dividing nodes into training nodes and aggregation nodes; training nodes collecting network traffic, training a local network traffic classification model, and sending it to an edge network device; the edge network device detecting the uploaded local model and updating the list of trusted and malicious nodes; aggregation nodes aggregating qualified local models and returning the generated global model to the edge device; the edge device receiving the global model, verifying it, and broadcasting it; all training nodes receiving and using the latest global model to obtain the final intrusion detection model, and using the final intrusion detection model to detect intrusions. This invention effectively improves the system's security and robustness while ensuring data privacy and the trustworthiness of sharing.

The present application relates to the technical field of food production traceability, and discloses a soybean protein-dietary fiber compound food production traceability method, which comprises the following steps: step 1, generating a batch number and calculating a standardized proportion index to form a raw material event; step 2, setting a window matrix containing pH, proportion, temperature and time based on a process target and generating a window signature; step 3, generating a process trajectory abstract and forming a compliance judgment to obtain a process event; step 4, generating a fingerprint ternary vector and a tolerance band thereof to form a content event; step 5, generating a double-anchor coupled code and forming a chain event through chain connection; step 6, generating a two-dimensional carrier code and issuing an offline silent verification rule; and step 7, verifying data consistency and determining an abnormal minimum cut time period when an exception occurs. The present application realizes traceable management of the whole production process of soybean protein-dietary fiber compound food and accurate positioning of an abnormal time period.

This application provides a security assessment method, device, storage medium, and program product for financial applications, relating to the fintech field. The method includes: quantifying the raw security data of the financial application according to preset data quantification rules to obtain multiple security dimension indicators; obtaining a security profile score based on the business scenario type and the multiple security dimension indicators; performing code structure parsing processing on the code data in the raw security data to obtain a code structure representation, and obtaining vulnerability attribution relationships based on the code structure representation, vulnerability detection results, and business metadata; obtaining the business system type to which the financial application belongs, and determining the vulnerability remediation priority based on the vulnerability detection results and the business system type using preset priority determination rules; and generating and outputting a security assessment result based on the security profile score, vulnerability attribution relationships, and vulnerability remediation priority. This application improves the accuracy of financial application security assessment results.

The present application relates to the field of engineering construction management and information technology, in particular to an integrated multi-system engineering supervision full life cycle digital management and control platform, which collects supervision behavior, files, images and environmental equipment data and transmits; uniformly identifies, space-time aligns, semantically normalizes and correlation models the data to generate a project database; constructs a request influence domain and calculates a dynamic risk value when aggregating and displaying or penetrating and linking; generates a permission intersection strategy according to the risk value and implements dynamic regulation; finally graphically displays the processed data in the cockpit management center, realizes real-time monitoring, command and supervision of quality, progress, cost and safety, the present application generates a permission intersection based on a request influence domain and a dynamic risk value and links to regulate, avoids permission penetration and cache leakage caused by cockpit aggregation; adaptively shrinks the data range, display granularity and operation entrance according to the risk, balances efficiency and safety; archives and audits the permission trimming, regulation action and disposal track.

This invention discloses a blockchain-based method for secure storage of scientific and technological data, relating to the field of information security technology. The method includes deploying an identity registration contract, a partition authorization contract, a storage registration contract, and an availability sampling contract; registering decentralized identities and solidifying registration time indexes, partition path permission objects, and partition path authentication policy tables to obtain authorization base information; using the authorization base information to arrange scientific and technological data according to partition paths and time slices, and performing one-time key encryption, two-dimensional erasure sharding, and row-by-row custody to form partition time slice storage packages; performing on-chain storage certificate registration on the partition time slice storage packages, and conducting random sampling verification and re-custody updates to form availability record indexes and mapping table version references. This invention achieves a closed loop of authorization privacy, retrieval verification, and evidence retention through zero-knowledge authorization proofs, capability tickets, and audit evidence storage, improving the verifiability and enforceability of compliance audits and dispute resolution.

The invention relates to the technical field of medical care informatics, in particular to an intelligent drug clinical test scheme generation method and system.The method comprises the steps that multi-source data of candidate molecules is received and subjected to standardization processing, and a standardized data set is obtained; retrieving the associated literature based on the standardized data set to obtain a target evidence quality report; retrieving measured data of the same-target reference drug based on the standardized data set to obtain a composite prediction data structure; taking the target evidence quality report and the credibility label in the composite prediction data structure as explicit constraints, generating clinical test parameters of candidate molecules, and obtaining a preliminary I-stage clinical test scheme; and performing comprehensive feasibility scoring on the I-stage clinical test scheme, and outputting a final intelligent drug clinical test scheme. According to the method, the clinical parameters have traceable information quality basis, the generated test scheme carries confidence level description, and the transparency and the verifiability of clinical development decisions can be improved.