48 results about "Digital rights" patented technology

The invention relates to the technical field of information, and discloses a digital right near-field real-time cancel-after-verification system based on edge computing, which comprises a space-time coding module used for generating a unique cancel-after-verification identifier according to the geographic position and time of a user, and transmitting the identifier to a dynamic weight module; a dynamic weight module which is connected with the space-time coding module, generates a right and interest distribution strategy based on a federated learning model and an optimization algorithm, and outputs the optimized strategy to a block chain fragmentation module; the block chain fragment module is connected with the dynamic weight module, dynamically divides a consensus network according to the real-time cancel-after-verification density, executes distributed verification in fragments and generates a cancel-after-verification authorization instruction; and the cancel-after-verification execution module is used for distributing cancel-after-verification tasks according to the authorization instruction and synchronously updating the multi-node inventory state. By adopting the technical scheme of gridding coordinate mapping, time window division and nonlinear hash of the space-time coding module, the technical effect that the verification identifier is unpredictable and uniquely bound is achieved.

Aspects of the technology disclosed herein related to a distributed architecture for securely delivering AI models and / or training data sets to client devices for local use. The distributed includes a licensing server that controls access to and decryption of the models. The licensing server controls the distribution of licensing packages for the different models delivered by the distribution server. The client device transmits a license request to the licensing server. The licensing request may include device-level details about the client device itself, and such details may be provided in a secure, trusted manner, such as through a hardware root of trust (HROT) of the client device. If the details in the license request satisfy the security requirements for the model, a license package for the model is delivered to the client device. The license package includes a license for the model and a decryption key for the model.

The present invention provides a secure system and method for sharing medical information among authorized medical professionals. The system ensures that only verified medical professionals can access the platform by requiring a medical license and utilizing facial recognition technology for authentication. The platform includes a content management component for uploading and accessing medical information, a digital rights manager to prevent unauthorized copying or removal of content, and a messaging system for secure communication between users. The system is designed to be HIPAA-compliant and includes features such as patient consent for video content, native voice triggers for camera movements during surgical procedures, and a customizable chat system for enhanced user experience. The invention aims to streamline the verification process, enhance security, and promote patient safety while facilitating the sharing of medical knowledge and techniques.

Systems and immersive methods are provided for aggregation and organization of image, video and digital rights data. In an exemplary embodiment, a system and method for aggregation and organization of media data acquired from a plurality of sources is provided. The system and method include a data collection element, a brand commercial (POPmercial) placement for sponsorship element, a stake and mining rewards (Futures In Popular) against placed media element and a user interface that allows publishing of a unique curated media stream as a first-time-ever NFT BROADCAST, (POPcast).

A system and method for automated defective data record resolution is disclosed. The method is performed by a remote digital claim remediation service operating within a distributed network of computers. The method includes receiving adverse digital claim data comprising a plurality of data fields, where at least one data field contributes to an adverse action against a target digital claim. A feature extraction model processes the claim data to extract defect feature data. A machine learning model then computes defect inferences, identifying likely defect types and associated confidence values. The method further evaluates these inferences against predefined routing criteria, routing the claim data either to a remediation or disposal queue. For remediable claims, a machine learning model generates remediation inferences, which are applied to adapt and correct the claim. The defect-free claim is then resubmitted in real-time or near real-time, accelerating claim processing and enhancing system efficiency.

The embodiment of the invention provides a user risk identification method and device, electronic equipment and a storage medium, and relates to the technical field of computers. According to the method, multi-source time series data are fused, local space correlation characteristics of user behaviors are extracted by using a convolutional neural network in sequence, a long-term and short-term memory network captures a long-range time dependency relationship of a behavior sequence, a Transformer encoder mines deep correlation characteristics among key behavior segments, and risk decision is carried out by integrating the three characteristics. According to the method, multi-dimensional collaborative recognition of a complex and hidden risk mode in digital right operation is achieved, the accuracy and robustness of risk recognition are improved, the false alarm rate and the missing report rate are reduced, the limitation of a traditional risk control method or a single model in space-time-semantic joint modeling is overcome, and the method has higher generalization ability and practical application value.

In an example, processing circuitry may receive a request from a user to produce an item represented by data in a N physical form and an indication of a digital right associated with the item. From the content of the digital right, it may be determined if the user has permission to produce the item in physical form. When the user has permission to produce the item, an apparatus may be instructed to produce the item in physical form.

Aspects of the technology disclosed herein related to a distributed architecture for securely delivering AI models and / or training data sets to client devices for local use. The distributed includes a licensing server that controls access to and decryption of the models. The licensing server controls the distribution of licensing packages for the different models delivered by the distribution server. The client device transmits a license request to the licensing server. The licensing request may include device-level details about the client device itself, and such details may be provided in a secure, trusted manner, such as through a hardware root of trust (HROT) of the client device. If the details in the license request satisfy the security requirements for the model, a license package for the model is delivered to the client device. The license package includes a license for the model and a decryption key for the model.

Methods and apparatus for secure data digital rights processing, distribution, and monetization through the use of Smart Contracts as input to a machine learning module (MLM) to manage and enforce digital rights across multiple ecosystems. One embodiment of the invention includes a digital data rights server configured to communicate with a distributed ledger technology (DLT) or a centralized database (DB). In addition, a Smart Contract layer may integrate on top of the DB API and be responsible for the sole control of the owner's digital data rights. The Smart Contract layer is configured to track party's privy to the data, the legal rights and obligations of such parties, the value of the digital rights data, and the automatic provisioning of digital rights data based on the rules set in advance by the digital rights data owner as digital rights data moves to the next generation of digital rights data subscriber.

The invention provides a digital rights and interests circulation method, a storage medium and a computer program product, personal digital rights and interests of a user are stored in a super SIM card, when the user initiates circulation, a circulation request is initiated after super SIM authentication is passed, a device is informed to perform secondary confirmation of the user through super authentication, and the user experience is improved. Whether digital rights are received or not is given to the user, and the user can autonomously grasp the right to use the rights and interests data.

The invention discloses a multi-source data verification system and method based on physical mechanism constraint and a medium, and belongs to the technical field of industrial internet and block chains. The system collects multi-source heterogeneous data of a target object and forms a standardized data stream; a preset physical mechanism model (such as a heat conduction or energy conservation model) is utilized, a theoretical value of the other part of data is derived from part of data, and forged data violating natural laws are eliminated through residual analysis; for the valid data passing the verification, extracting time sequence characteristics in a sliding time window, constructing a multi-dimensional state vector, and generating a state quality index; and the block chain anchoring module links the index abstract, and dynamically updates the state field of the index abstract through the smart contract on the premise of keeping the unique identifier of the digital rights and interests voucher unchanged. According to the method, physical rule constraints are introduced, so that the authenticity of source data is effectively improved, and dynamic credible mapping from a physical state to on-chain digital assets is realized.

The application discloses a digital rights business data statistical analysis and visualization system, aiming at solving the problems of strong heterogeneity of multi-source rights data, difficulty in capturing evolution law and single display structure. The system first converts data streams of different sources into a uniform format of rights state vectors through a digital rights heterogeneous mapping module. Then, the rights evolution tracking module constructs a life cycle trajectory and marks the transition point. The multi-dimensional aggregation analysis module calculates the rights concentration in the time window according to the formula and generates a hierarchical aggregation index. The asymmetric visualization rendering module generates a topological object based on the constraint condition and breaks the geometric symmetry. In addition, the system has built-in abnormality suppression and irreversible transformation mechanism to ensure the safety of data flow. Through the closed processing of the whole link, the application realizes the accurate revelation of the deep law of rights business and effectively avoids the risk of original data leakage.

The present invention discloses a blockchain-based digital rights encryption management method and system, relating to the technical field of digital rights security management. The present invention generates a unique identifier for digital asset information using a hash algorithm, utilizes asymmetric encryption to ensure data privacy, and achieves asset uniqueness identification and information encryption protection. The encrypted asset information is stored on the blockchain through a smart contract, and a consensus algorithm is used for node verification. The immutability, authenticity, and transparency of the asset information are analyzed to ensure the authenticity of the digital assets and the security and reliability of their storage. During digital asset transactions or transfers, the legitimacy of the ownership transfer is verified through a consensus mechanism to ensure that the transaction meets preset compliance standards. The asset status on the blockchain is updated in real time, improving the security and compliance of the transaction. The blockchain's traceability mechanism tracks and records the asset's ownership history and transaction path, achieving traceability and transparency in the asset transfer process.

The invention relates to the technical field of big data and artificial intelligence, and particularly discloses a global digital rights intelligent configuration and distribution method based on multi-source data fusion. The method comprises the following steps: firstly, collecting user global multi-source heterogeneous data through a distributed network, extracting multi-modal features by using space-time alignment and a deep neural network, and constructing a user high-dimensional feature vector; then, inputting the feature vectors into a reinforcement learning model, and intelligently matching an optimal right configuration scheme from a right library through a multi-objective optimization function; thirdly, realizing cross-platform synchronous distribution according to the terminal state and the geofence by using a scene awareness routing algorithm; and finally, on the basis of a federated learning mechanism, realizing online iteration of the model by utilizing full-life-cycle feedback data. Through deep interleaving and intelligent decision making of multi-source data, accurate configuration and non-perception of digital rights and interests are achieved, the rights and interests cancel-after-verification rate and the user experience are improved, meanwhile, the user privacy is effectively protected, and the self-evolution ability is achieved.

This invention discloses a multi-terminal user behavior data collection and digital rights precious metal exchange management system, relating to the fields of data management and digital rights technology. The system includes a data collection module, a rights generation module, and an exchange management module. The data collection module supports multiple non-fixed terminals such as mobile terminals, in-vehicle smart devices, and smart home terminals, collecting user behavior data in specified scenarios. The rights generation module generates globally unified digital rights based on the behavior data. These rights are prohibited from being redeemed, transferred, or traded overseas and have no cash or securities attributes. The exchange management module only supports users entering China and, after on-site identity verification, exchanging physical precious metals at designated offline locations. This invention achieves multi-terminal, non-fixed-adaptation data collection, strictly defines cross-border rights boundaries, completes the entire process of review and physical delivery domestically, eliminates cross-border fund and precious metal transfers, and has strong compliance and universality, making it widely applicable to various user-participatory scenarios.

A method and associated system for matching digital work metadata and delivering the digital work metadata to one or more digital service providers includes modifying one or more digital work metadata files, modifying the one or more digital work metadata files includes removing non-critical data or segmented wrong data, or performing language translation; the one or more digital work metadata files are reformatted so as to be compatible with AI matching operation based on a transformer model; performing a chunk grouping operation on the one or more digital work metadata files, in which data associated with the one or more digital work metadata files is grouped into chunks and analyzed to obtain one or more pairs of data records; executing the AI matching operation based on the transformer model to determine whether each pair in the one or more pairs of data records comprises a matched pair of the data records; and transmitting the output data from the artificial intelligence matching operation based on the transformer model to the one or more digital service providers.

The present invention discloses a method and device for generating a digital proof of rights for a physical artwork. The method comprises: extracting characteristic information of the physical artwork; preprocessing the characteristic information to obtain registration identity information of the physical artwork; generating a registration key based on the registration identity information; and constructing a digital proof of rights for the physical artwork based on the registration key. This method extracts rich random information generated by physical cultural relics during the production process, and unique characteristic information can be extracted from each cultural relic, thereby ensuring the uniqueness of the physical artwork. The registration identity information of the physical artwork is obtained based on the characteristic information of the physical artwork, thereby generating a registration key, i.e., a stable identity identifier. Data with slight variations is corrected through processing to obtain a stable and accurately reproducible output, thereby ensuring the uniqueness of the physical object.

The application belongs to the field of agricultural information technology and big data processing technology, and relates to a dynamic pricing and tracing method and system for agricultural products by integrating crop growth mechanism and multi-dimensional space-time data. The method improves the authenticity and credibility of the tracing data by collecting multi-source heterogeneous data, combining the data organization architecture constructed by space-time index and data completion processing. The method generates a unique full-link tracing identifier as the index core to construct a digital archive of the full life cycle of agricultural products, establishes a cross-node and cross-system data correlation architecture, and realizes automatic and accurate correlation of full-link data and construction of complete evidence chain. The method extracts quality key features from the digital archive and predicts the quality status through an algorithm model, combines market, supply and demand, and credit data to construct a multi-factor pricing model, converts environmental data into quantifiable quality indicators and scientific dynamic guidance prices, solves the problems of lack of quality quantization and reasonable pricing mechanism in the prior art, and realizes digital rights protection of agricultural assets.

The invention discloses a digital right confirmation dynamic verification hierarchical authorization encryption system for cell sample storage calling, belongs to the field of biological sample data security, and realizes full-life-cycle security management and control through a four-layer architecture. The ownership authentication layer determines the ownership and generates a unique digital identifier; the hierarchical password system performs hierarchical encryption according to ownership, use right and operation right; the dynamic verification engine monitors operation in real time, performs multi-factor verification and triggers abnormal early warning; the auditing and tracing system records a whole process log and supports multi-dimensional tracing. The system realizes three-level separation of ownership-use right-operation right through CC EAL5 + authentication, solves the problems of fuzzy authority and difficulty in tracing in a traditional scheme, is suitable for scenes of biological banks, medical research and the like, and guarantees the safety and compliance utilization of samples.

Aspects of the technology disclosed herein related to a distributed architecture for securely delivering AI models and / or training data sets to client devices for local use. The distributed includes a licensing server that controls access to and decryption of the models. The licensing server controls the distribution of licensing packages for the different models delivered by the distribution server. The client device transmits a license request to the licensing server. The licensing request may include device-level details about the client device itself, and such details may be provided in a secure, trusted manner, such as through a hardware root of trust (HROT) of the client device. If the details in the license request satisfy the security requirements for the model, a license package for the model is delivered to the client device. The license package includes a license for the model and a decryption key for the model.

The invention discloses a digital rights transfer method, apparatus and device, and a computer storage medium. According to the specific technical scheme, the method comprises the steps that a digital right transfer request sent by a client is received, the digital right transfer request is generated by the client in response to operation of a user on a target interface, and the digital right transfer request comprises division information, a segmentation dimension, a digital right identifier and transferred account information; obtaining digital right product data corresponding to the digital right identifier from a digital right platform; according to the division information, performing division processing on data of a division dimension in the digital right and interest product data to obtain a division result; and sending the division result, the digital right identifier and the transferred account information to a digital right platform, so that the digital right platform transfers the digital right product corresponding to the digital right identifier according to the division result and the transferred account information. Therefore, the digital rights and interests products can be flexibly transferred.

A system to detect an infringing audio composition is disclosed. The system is configured to receive an audio file from a user; prepare track samples based on the audio file to compare with audio files stored with a digital rights repository; determine an original audio recording from the digital rights repository; prepare an acapella version of the original audio recording and / or an instrumental version based on the original audio recording; process, by iteratively varying a pitch, a tempo and / or a key of, the versions to create a processed iteration of each version; automatically compare the processed iterations of the audio files stored with a digital rights repository; determine a match between the processed iterations and the audio files stored with the digital rights repository; and determine a digital rights action to take based on the match between the processed iteration of each of the versions.

This invention provides a blockchain-based digital copyright storage method and apparatus. The method includes constructing a digital copyright consortium blockchain and creating unspent digital copyright assets owned by users using an unspent transaction output model. The consortium blockchain calculates the similarity of target data provided by users, generates corresponding digital copyrights, sends them to users for signature, sends the signed digital copyrights to full nodes to create outputs, places them in coinbase transactions, packages the transactions into blocks, and sends them to the consortium blockchain network. Users view target copyrights and create transactions, and full nodes verify the legality of transactions and send them to the blockchain network to reach consensus. Compared with related technologies, the blockchain-based digital copyright storage method and apparatus provided by this invention improves the processing efficiency of copyright transactions and increases the effective proportion of copyright data stored in the blockchain.

This invention discloses a dual-code fusion full-domain rights confirmation and ubiquitous media application system and method based on AI multi-level rotation parsing, involving the fields of AI IoT and digital rights confirmation technology. The system includes modules such as AI visual recognition, AI intelligent scheduling, dual-code fusion recognition, AI reasoning parsing, multi-level rotation parsing, cross-level reverse tracing, cross-platform bridging, conditional ghost jump, dark media ID rights confirmation, and ubiquitous media advertising operation. By constructing a dual-code fusion system of visible array QR codes and invisible physical identifiers, combined with AI, it achieves incomplete identification with ≤30% damage, dynamic rotational progressive parsing, cross-level root node tracing, and cross-platform unified adaptation jumps. It also generates a unique dark media ID based on cryptographic hashing and stores it on the blockchain, completing full-domain rights confirmation and anti-counterfeiting traceability for goods. Simultaneously, relying on a conditional content distribution mechanism, it transforms physical goods into independent media ports, realizing full-domain traffic redirection and advertising operation. This invention features a high level of anti-counterfeiting, strong robustness across scenarios, and high cross-platform compatibility. It can be engineered and implemented, and is applicable to all categories of commodity circulation scenarios. While enhancing anti-counterfeiting capabilities, it realizes the commercial value of mediating everything, and is compliant throughout the process with no financial or cryptocurrency-related risks.

The invention discloses a digital copyright management and learning resource regulation and control system based on reinforcement learning, and the system comprises a data collection association module which is used for outputting an original time sequence record; the track construction module is used for cleaning the original time sequence record, aligning and segmenting the session, and outputting an offline track data set; the risk generation module is used for generating a risk cost sequence and a threshold table; the audit reconstruction verification module is used for outputting a verified non-discount accumulated risk cost prediction value; the budget arrangement module is used for generating a constraint condition vector and a compliance budget threshold set; the joint action generation module is used for generating a joint action packet generation rule by taking the offline trajectory data set as a sample and combining the constraint condition vector; and the online execution write-back module is used for regulating and controlling the access supply of the learning resources, synchronously controlling the digital copyright management strategy and writing back an execution result. According to the invention, the management of the digital copyright strategy and the regulation and control of related learning resources are realized.

Disclosed in the present invention is a method for issuing digital collectibles and verifying and cancelling associated rights. The method comprises: binding a digital collectible to rights by means of a digital rights smart contract, and performing rights verification and rights exercise after a user purchases the digital collectible, wherein the former comprises: initializing metadata of the digital collectible, establishing basic information and attributes thereof, assigning a unique digital identity thereto, creating a digital rights smart contract, binding the ownership and real rights of the digital collectible to the digital collectible, performing compliance and security verification, and deploying the digital collectible and the real rights to a blockchain network; and the latter comprises: a digital rights platform first performing rights verification on the behavior of the user purchasing the digital collectible; the digital rights platform issuing the rights; by means of the digital rights smart contract, mapping the rights obtained by the user, and recording same on a blockchain; after the user exercises the rights, the digital rights platform performing rights verification and cancellation; and after the rights verification and cancellation are completed, updating the status of the rights in real time, and calling an interface to synchronously update same to the blockchain network.

The invention belongs to the technical field of digital rights and interests circulation, and particularly relates to a method and system for digital member rights and interests circulation transactions, and the method comprises the following steps: 1, receiving and storing digital member rights and interests information submitted by a user through an intelligent contract deployed on a block chain network, the right information at least comprises a right identifier, a category, a residual value and a state; 2, receiving a right and interest transfer transaction request sent by a user, wherein the request at least comprises a transaction amount range, a publisher block chain account address and a right and interest identifier; according to the invention, each digital member right and interest is converted into an independent and uniquely identifiable digital asset object through an intelligent contract, and the whole process of establishment, right confirmation, transaction and settlement of the asset is completed in a continuous and atomic block chain operation. This achieves non-tampering, real-time synchronization and self-verification of rights and interests ownership changes and transaction records.