136 results about "Digital resources" patented technology

System and method for using knowledge fabric based on knowledge ontology, designed for deep language understanding and mechanistic causal reasoning, and meta-knowledge repository for auditable question answering. The method includes receiving an input text from a user, building a knowledge graph that represents real world facts and associations in the form of contextually tagged and weighted knowledge propositions, in multiple knowledge domains. The knowledge graph in combination with causal path knowledge and metadata describing digital sources containing answers constitutes the knowledge fabric. The method includes resolving ambiguity and determining actual intent of the user for the input text, from a plurality of interpretations of intent for sentences using the knowledge graph in conjunction with logical inference to achieve deep natural language understanding. The method includes finding / delivering response to the input request as to why / how unknown factors resulted in known outcome, or what outcomes are likely given known causal factors.

The invention relates to the technical field of three-dimensional scene information transmission, and discloses a digital information transmission method and system in a three-dimensional level loading process, and the method comprises the steps: obtaining three-dimensional level scene information, and dividing the three-dimensional level scene information into a plurality of scene region units; executing multi-factor priority evaluation; executing secondary priority evaluation to generate a resource task queue; adopting a multi-stage asynchronous streaming mechanism to complete digital resource transmission based on the loading granularity; and dynamically screening resources in combination with the GPU rendering budget. Compared with the prior art, the problem that loading efficiency and real-time performance cannot be considered in a complex three-dimensional scene is solved, and especially the technical problem that loading and rendering collaborative optimization is difficult to realize when a user view angle is quickly switched or the granularity difference of scene resources is large is solved. Due to the fact that space partitioning, dynamic priority evaluation and frame budget scheduling mechanisms are introduced, the problems of loading delay and resource redundant transmission are avoided, and the real-time loading efficiency and rendering fluency under the large-scale three-dimensional level scene are improved.

The invention discloses a hotel self-service equipment collaborative management system and method based on the Internet of Things, and relates to the technical field of hotel intelligent management, and the method comprises the steps: a sensing module monitors personnel distribution and behavior characteristics in an equipment operation radius in real time through a multi-source sensor network, and generates spatial state data; the scheduling engine module receives the spatial state data, divides a physical space into virtual grids, calculates a service pressure index and generates an equipment state control strategy; an equipment cooperation module responds to the equipment state control strategy, establishes an equipment cluster dynamic health baseline and executes cross-equipment micro-task scheduling and verification; and the user interaction module fuses the biological characteristics and the behavior data to generate a dynamic trust score, and controls equipment service activation. According to the invention, the problem of low efficiency caused by rigid spatial layout, uneven load and fault diffusion of hotel self-service equipment is solved, full-link collaborative optimization from a physical environment to digital resources is realized, the user experience is improved, and the operation and maintenance cost is reduced.

The invention relates to the technical field of digitization systems, and particularly discloses an intelligent AI-driven archive digitization full-process processing system, which comprises a physical digitization module, an AI agent collaborative network and a digital resource management module which work cooperatively in sequence, and realizes automatic processing from an entity archive to a structured digital knowledge base; the physical digitization module is configured to perform high-fidelity scanning or shooting on the entity archive to generate an original digital image set; the AI agent collaborative network is a multi-agent system dispatched and managed by the central coordinator; according to the system, an end-to-end closed-loop processing flow from an entity file to a structured digital knowledge base is constructed through sequential collaboration of the physical digitization module, the AI agent collaboration network and the digital resource management module, connection of all links does not need to be manually intervened, manual review is only needed in a very few complex abnormal scenes, the labor cost is remarkably reduced, and the efficiency is improved. And the processing efficiency and the flow consistency are improved.

The invention relates to an optimized visual angle display method and system under a complex topological structure of digital intelligence resources, and the method comprises a data preprocessing and grouping aggregation step, a recursive display and user-defined hierarchical display control step, an interactive optimization step and an influence degree analysis step, and comprises the steps: firstly collecting and integrating digital intelligence resource data in a CMDB database, and preprocessing the data; grouping and aggregating according to attributes and service types through a classification grouping engine to generate a mapping relation; recursively displaying resource hierarchies, supporting custom hierarchy control, and optimizing node classification display and layout; then providing interactive optimization such as edge relation elimination and node highlighting, analyzing the resource influence degree, and supporting layout storage switching; and realizing conversion between the physical diagram and the logic diagram based on the mapping relation. According to the method, the readability of the complex topology can be improved, the hierarchical display capability is enhanced, the user interaction experience is optimized, deep analysis decision is supported, and the visual effect is improved.

The invention discloses a man-machine collaborative auditing and optimizing method for AI (artificial intelligence) generated content oriented to the field of literature and blog. The man-machine collaborative auditing and optimizing method comprises the following steps: S1, content acquisition and personalized constraint preprocessing: acquiring literature and blog field related content generated by an AI model; if the content is customized by a specific object, inputting an exclusive digital resource library and a style guide of the corresponding object into an AI generation model as constraint conditions; s2, multi-dimensional automatic evaluation: calling a multi-dimensional content evaluation model to carry out automatic analysis on the content, and outputting a quality score vector containing a plurality of evaluation dimension scores; s3, man-machine task dynamic allocation and collaborative auditing: calculating the comprehensive confidence of the content based on the quality score vector, and dynamically allocating the low-confidence content to the matched artificial auditor according to the confidence and the professional portrait of the auditor; and an auditor can trigger traceability verification based on the authoritative literature and blog mapping knowledge domain during auditing. According to the method, the AI generation content in the literature and blog field can be better audited and optimized.

The invention discloses a water conservancy project construction progress and resource allocation intelligent optimization system, and relates to the technical field of water conservancy projects, and the system comprises a resource identification generation module which employs a Hash algorithm to generate unique identification codes for each batch of construction resources used in a water conservancy project construction process, calculating according to the resource attribute information, the construction task code and the batch identification associated data to obtain a non-repeatable digital resource code; when the same batch of resource information is detected, grouping identification is carried out according to a time sequence, a unified coding system covering the whole process of purchasing, transportation, entering, warehousing and construction is formed, and space coordinate basic data corresponding to each resource is generated; according to the intelligent optimization system for the construction progress and resource allocation of the water conservancy project, accurate control of the construction progress of the water conservancy project, intelligent optimization of resource allocation and comprehensive visualization of operation of a construction site can be realized, and the management efficiency, the resource utilization rate and the overall construction quality of the construction of the water conservancy project are greatly improved.

This application provides a digital resource processing method, apparatus, computer equipment, computer-readable storage medium, and computer program product, belonging to the field of data processing technology. The digital resource processing method includes: associating and storing an encrypted aggregated digital resource value with a target cross-platform identity identifier of a target object; the encrypted aggregated digital resource value is generated by a secure multi-party computing cluster in encrypted state through collaborative computation of encrypted digital resource values ​​provided by several platforms; upon receiving a query request and confirming that the requester is the holder of the target cross-platform identity identifier, retrieving the encrypted aggregated digital resource value and sending it to the secure multi-party computing cluster for collaborative decryption, returning the decrypted aggregated digital resource value; and responding to the requester's digital resource exchange request by executing a digital resource exchange operation. The technical solution of this application can effectively protect data privacy while jointly using digital resources from multiple platforms.

Systems, apparatuses, methods, and computer program products are disclosed for monitoring and tracking technical engagements between digital resources. An example method includes deploying a machine learning monitoring application to a computing environment comprising one or more of a computing device or a network channel and detecting an engagement metric associated with a target technology of the computing environment and a user account of the computing environment. The example method further includes generating name-value pair data representative of the engagement metric, the user account, and a timestamp token and generating a technical engagement score representative of a probability of a successful utilization of the target technology by the user account. The example method further includes initializing an actionable instruction set based on a comparison of the technical engagement score to a technical engagement threshold.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real-world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

A method of operating a digital system operable in multiple operational states having a digital resource and an event detector that detects events of the digital resource comprises the steps of determ

The invention discloses an internet resource long-term storage management and storage system, which comprises a space-time coding layer which is based on an FPGA (Field Programmable Gate Array) main control chip, comprises a parallelized tensor processing unit and is used for converting digital resources and metadata and context relationships thereof into a space-time coding body with a time self-description capability; the storage unit is used for receiving the space-time coding body from the space-time coding layer and permanently solidifying the space-time coding body in a tamper-resistant physical form; and the four-dimensional continuation control layer is used for dynamically managing the integrity, readability and authenticity of resources in the whole life cycle through an autonomous evolution algorithm and a distributed verification network. Through collaborative innovation of a space-time coding body (an information layer), a holographic cold memory (a physical layer) and a continuation control network (a management and control layer), the basic challenges of long-term storage of Internet resources in the aspects of authenticity, integrity, availability, safety, cost, technical dependence and the like are systematically handled.

The invention relates to a price anchoring method and device based on an automatic market maker and computer equipment. The method comprises the following steps: receiving an off-chain value periodically reported by an oracle machine; the under-chain value is used for representing the real world price of the digital resource in the mobility pool; the digital resources comprise a first digital resource and a second digital resource which form a transaction pair; determining an initial number of digital resources in the mobility pool; based on the under-chain value and the initial number, transferring a part of the number of one digital resource in the mobility pool to a revenue library, so that the price in the mobility pool is the same as the under-chain value; and when a preset condition is met, transferring the digital resources in the income library into the mobility pool, thereby solving the problem that the AMM price is out of anchoring, forcibly enabling the digital resource composition in the pool to be aligned to the value under the chain, assisting the digital resources in forward circulation through the income library, and ensuring the mobility.

5 Embodiments disclose a system and method for simplifying access and viewing of a variety of digital learning meta resources. Utilizing advanced filtration based on categorized resource data, the system efficiently organizes content for effortless retrieval. It provides users with a personalized approach to accessing educational 10 digital resource content, thereby improving accessibility and organization within digital meta learning materials. The available resources encompass images, sets of related pictures, various types of videos such as teaching and concept videos, keywords, tables, and more. With its innovative filtering features, the system aims to revolutionize the learning experience, making education more accessible, engaging, 15 and impactful for students worldwide.

The present application relates to the technical field of cargo scheduling, in particular to a port piece bulk cargo handling digital resource scheduling and whole-process tracing system, which comprises a cargo digital unit, a cargo dynamic interaction unit, a scheduling optimization unit and a tracing verification unit. The present application takes the physical interaction characteristics of cargo and environment as the core driving element, captures the cargo state and environmental disturbance in real time through multi-modal sensor data collection, realizes the full-dimensional digital mapping from static attributes to dynamic behavior, and the physical feature closed-loop driving mechanism not only improves the accuracy of scheduling decision, but also builds a tracing system with chaotic characteristics through irreversible environmental disturbance fingerprint technology, effectively solving the problems of easy tampering and difficult reproduction of traditional tracing system. Secondly, a three-level risk perception scheduling system is innovatively designed, which deeply couples risk assessment and resource scheduling. This layered response strategy not only guarantees operation safety, but also avoids resource waste.

The invention discloses an AIGC-driven traditional cultural life education interaction system, which belongs to the field of cultural education and comprises a resource integration module, a situation creation module, a comprehensive evaluation module and a life criterion landing module. The resource integration module is used for collecting traditional cultural life education resources, performing intelligent processing on the resources through an AIGC technology, and constructing a structured digital resource library; the situation creation module generates immersive experience interaction content through AIGC based on the digital resource library, and realizes dynamic interaction between the learner and the traditional cultural life education content; by means of the AIGC technology, traditional cultural life education resources are converted into diversified forms such as 3D scenes, virtual interaction content and role playing games, a traditional single character and static teaching mode is replaced, the interestingness and immersion of learning are enhanced, cognitive lassitude is effectively relieved, and the intention of active participation of learners is stimulated.

Systems, computer program products, and methods are described herein for digital resource allocation via an interactive computational framework. The present disclosure includes receiving credentials at a first endpoint device, authenticating the credentials, receiving a digital resource allocation request from the first endpoint device, the digital resource allocation request comprising parameters of a user associated with the authenticated credentials and item parameters of an item associated with the digital resource allocation request, retrieving user data associated with the user, determining, using a machine learning model, a digital resource allocation proposal based on the user data, generating, using a generative AI model, based on the digital resource allocation proposal, a smart contract comprising ownership, appending the smart contract to a distributed ledger, and transferring digital resources according to the smart contract.

The purpose of the embodiments of the present disclosure is to provide a digital resource collection method, system and computer program product for scientific museums. Wherein, first JSON-LD data is generated for each access data; based on the first JSON-LD data, explicit technical features are extracted from the original feature metadata to generate first type labels, and semantic information in the standardized basic metadata is parsed to generate second type labels, forming second JSON-LD data; based on the second JSON-LD data, a pre-defined rule template is loaded according to the type label to extract structured metadata, and a reference to the original access data is retained, forming third JSON-LD data; based on the third JSON-LD data, supplementary metadata is generated, forming fourth JSON-LD data; based on the fourth JSON-LD data of each access resource, an association is established between the metadata of different access resources, forming fifth JSON-LD data of each access resource.

The invention discloses a data processing method and device based on a block chain and a readable storage medium, and the method comprises the steps that a business platform obtains resource excitation information initiated by a first object identifier through a resource excitation component; resource excitation information is sent to the proxy platform, and the proxy platform allocates a resource transfer-in address used for transferring in the first digital resource to the second object identifier according to the resource excitation information; receiving a resource transfer-in address returned by the agent platform, and generating a resource transfer transaction according to the resource transfer-out address, the resource transfer-in address and the resource quantity; and sending the resource transfer transaction to the block chain network, so that the block chain network transfers the first digital resource belonging to the resource transfer-out address to the resource transfer-in address. By adopting the method, the resource security can be improved.

The application belongs to the technical field of discipline service, and discloses a college individual discipline service system, which comprises a user management module, a data management module, a discipline data calculation module, a scholar portrait module, a resource recommendation module and a system parameter setting module. In order to improve the individuality and accuracy of college discipline service, the college data center, the application system and the data of the digital resource access control system are extracted, and the scholar portrait is constructed according to four dimensions of basic information, academic achievements, scientific research behavior and hot behavior. The college discipline service platform is constructed under the support of the scholar portrait, and the discipline service such as resource individualization push, discipline development data analysis, auxiliary discipline team establishment and talent introduction is realized. The discipline service mode is reconstructed, the service ability is improved, and the work efficiency of the discipline librarian is improved.

This invention relates to the field of geological archive digital resource management technology, specifically a cloud-edge-device collaborative method and system for the full lifecycle management of geological archives. The method includes: acquiring geological archive data, constructing a geoscientific semantic basis and generating acquisition basis records, and generating a forward lifecycle trajectory starting node based on the acquisition basis records; constructing a forward lifecycle trajectory, encapsulating the geoscientific semantic basis, the generated prescription chain, and the regeneration verification anchor into an archive seed package object; performing regeneration adjudication on the verified archive deliverables and performing lifecycle closure verification on the archive seed package object; selecting a target based on the archive seed package object to generate a prescription chain and construct regeneration instructions, which are then regenerated by edge nodes to obtain archive deliverables; generating correction task records and distributing them to edge nodes. This invention achieves regenerable, verifiable, traceable, and corrective management of geological archives during edge acquisition, edge processing, and cloud archiving.

Disclosed are computerized systems and methods for a decision intelligence (Dl)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real -world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

A distributed information system authority control method comprises the following steps: setting four identity entities including a resource owner, a resource access authorizer, a resource access requester and a resource identity publisher, and endowing the resource owner with two capabilities: the first capability is a resource management capability, the second capability is a resource management capability, and the third capability is a resource management capability; the first capability is the capability of providing resource access to the outside, the second capability is the capability of providing resource access to the outside, the first capability means that the resource owner can manage own digital resources including adding, querying, updating and deleting the resources, the second capability means that the resource owner provides an access interface to the outside, and when a resource access requester accesses the required resources through the access interface, the resource access requester can access the required resources through the access interface. According to the resource access method, the authorized resource can be accessed after permission verification is passed, when a resource owner has a new resource, the resource owned by the resource owner needs to be registered to a resource access authorizer synchronously, and a resource access requester registers the identity of the resource owner to the resource access authorizer before requesting to access the resource.

In embodiments, an Online Software Platform (OSP) receives a dataset about a relationship instance between a primary entity and a secondary entity. The OSP parses the dataset to identify a certain domain that is associated with the primary entity or the secondary entity. The OSP selects a file template associated with the certain domain, and identifies a requirement mentioned in the selected file template. The OSP selects a digital resource rule responsive to the dataset, and produces a resource by applying the selected digital resource rule to the dataset. The OSP prepares, from the selected file template, a digital exhibit that is arranged to report the resource as answering the identified requirement. The OSP then sends to another device a notification that includes an access indicator adapted to facilitate viewing the digital exhibit.

A fully decentralized, audit-resilient sovereign ecosystem (“BEI×24HWS”) empowering every individual, household, industry, and region to truly own, govern, mint and inherit their time, identity, and digital resources—without reliance on traditional DNS registrars, centralized identity providers, or recurring renewal fees. The system is built upon three Sovereignty Pillars (Time, Identity, Resource) and seventeen modular components, and includes a turnkey “Domain-to-Module” mapping of all registered top-level and second-level names to demonstrate immediate, fee-free deployment across 365 industries and 82 billion global nodes.

This disclosure offers an end-to-end system and method to enable companies to create differentiating capabilities rapidly by tapping into a large pool of independent software vendors (ISV) while protecting and utilizing enterprise's proprietary digital resources. Examples of such resources include data and compute / storage infrastructure including Large Language Model (LLM) infrastructure. This disclosure enables complete separation of ISV's developed intellectual property (SoftIP) such as code / processes from enterprise data and resources. In addition, this system and method enables the SoftIP to be executed at a third party facility secured with advanced cryptographic technologies to ensure code integrity and secure access to enterprise's proprietary digital assets.

The embodiment of the invention provides an internet behavior analysis method and system applied to a smart library, and the method comprises the steps: carrying out the dynamic analysis of an internet behavior sequence of a user in the smart library, generating a behavior unit sequence containing an operation instruction unit and a resource access unit, and generating an association rule set between behavior units; performing behavior pattern evolution tracking based on the behavior unit sequence and the association rule set to obtain stage transition features and pattern variation nodes of the behavior pattern, and constructing a mapping relationship between the stage transition features and the pattern variation nodes and digital resource category attributes by combining the attribute features of the digital resources of the smart library; and according to the mapping relationship, generating an adaptation scheme of the user and the digital resource, the adaptation scheme covering the resource access path optimization suggestion and the resource association recommendation sequence, and finally pushing the adaptation scheme to the user terminal of the smart library to guide the user to perform digital resource access operation, thereby improving the resource acquisition efficiency of the user, and improving the user experience. And the smart library service quality is enhanced.

The embodiment of the invention is suitable for the technical field of network security, and provides an attack detection method, electronic equipment and a computer program product, and the method comprises the steps: obtaining transaction operation data of a block chain; constructing a candidate attack sequence based on a sandwich attack feature set and the transaction operation data; the candidate attack sequence comprises three exchange operations; according to the embodiment of the invention, the missing report rate and the false report rate of sandwich attack detection can be reduced, and the credibility and the applicability of sandwich detection are improved.

The embodiment of the invention aims to provide a digital resource acquisition method and system for a scientific museum and a computer program product. Wherein the first JSON-LD data is generated for each piece of access data; based on the first JSON-LD data, explicit technical features are extracted from the original feature metadata to generate a first type of tags, semantic information in the standardized basic metadata is analyzed to generate a second type of tags, and second JSON-LD data is formed; based on the second JSON-LD data, a predefined rule template is loaded according to the type label to extract structured metadata, and reference to original access data is reserved to form third JSON-LD data; on the basis of the third JSON-LD data, supplementary metadata are generated, and fourth JSON-LD data are formed; and based on the fourth JSON-LD data of each access resource, establishing association between metadata of different access resources, and forming fifth JSON-LD data of each access resource.

The invention relates to the technical field of electric power material management, and particularly discloses a power grid digital balance benefit library management method and system and a storage medium. The method comprises the following steps: constructing a full-quantity material digital resource pool, integrating a central library, a professional warehouse and in-transit / reserved material data, and carrying out standardization and structuring processing; based on a multi-level rule engine and an intelligent recommendation algorithm, in combination with supply chain simulation, a library benefiting strategy is automatically generated and optimized; embedding a strategy into a business process, and realizing closed-loop management from demand triggering, approval to allocation execution by using a process automation engine; and meanwhile, through the lifelong unique identification code of the material, the full-life-cycle traceability is realized, so that the inventory transparency, the cooperation efficiency and the resource utilization level are improved.