96 results about "Resource description" patented technology

The invention belongs to the technical field of electrical digital data processing and resource allocation, and provides an agent lightweight deployment method and a computing power elastic allocation method, lightweight deployment realizes one-time development of multi-platform deployment by constructing a plug-in container packaging tool and a multi-architecture compiling engine; static analysis is used for stripping redundant dependence of the model, and the model is dynamically cut in combination with edge resources; developing an intelligent resource description language, integrating a control group and a filtering technology to realize container-level resource monitoring, constructing a 12-dimensional dynamic state space fusing a node state, task characteristics and a network environment through computing power elastic distribution, and introducing a time delay, cost and reliability three-dimensional weighted reward model to quantify distribution earnings; an edge cloud cooperative training framework and an edge execution strategy are designed, experience is collected, a cloud end trains a Q network through federal learning, an optimization decision is played back in combination with priority experience, the agent deployment efficiency and the resource utilization rate are improved, and data privacy is guaranteed.

The invention relates to the field of data integration scheduling, and discloses a data integration and elastic scheduling method suitable for a fragmented computing power pool, which comprises the following steps of: constructing the fragmented computing power pool in combination with different distributed resources, and constructing a uniform resource description model in combination with the fragmented computing power pool, and data integration and elastic partition scheduling processing of distributed resources are realized. The resource utilization rate is improved, and the calculation cost is reduced; the purposes of enhancing the elasticity of the system and conveniently coping with various complex scenes are achieved; and meanwhile, data-driven intelligent scheduling is realized, and more flexible and efficient resource utilization is realized.

Systems, computer program products, and methods are described herein for implementing parametric optimization analysis for resource selection. The present invention is configured to determine a first set of requirements associated with a resource exchange agreement; identify one or more non-fungible tokens (NFTs) for one or more categories of past resource exchange agreements based on at least the first set of requirements; extract, from the one or more NFTs, one or more resource descriptors associated with one or more past resource exchange agreements in the one or more categories; predict, using a machine learning subsystem, an optimal resource valuation model for one or more resources that meet the first set of requirements using the one or more resource descriptors and the first set of requirements; and transmit control signals configured to cause a first end-point device to display the optimal resource valuation model.

The invention provides a cloud resource configuration method and device, electronic equipment and a computer program product. Relates to the technical field of cloud management. In view of the problem of complexity of the current cloud resource configuration process, the cloud resource configuration method provided by the invention comprises the following steps: acquiring a blueprint description file generated based on a cloud resource blueprint; the blueprint description file comprises cloud resource description information of to-be-configured cloud resources; analyzing the blueprint description file, and generating an abstract syntax tree for representing cloud resource description information; the abstract syntax tree records cloud resource description information through node information; generating a resource configuration file according to the node information of the abstract syntax tree and the mapping relation between the node information and the resource configuration information; based on the resource configuration file, executing a configuration operation on the to-be-configured cloud resource; according to the embodiment of the invention, the complexity of cloud resource configuration can be reduced, and the flexibility and convenience of cloud resource configuration are improved.

The embodiment of the invention discloses a data space and a data interaction method. The data space comprises a plurality of modules, and an efficient intelligent data circulation system is constructed. The data market platform stores data resource description, and the data resource library is responsible for storing data governance information. And the AIAgent module converts query of a data demander into a structured request through a natural language processing technology, and performs data matching. And a matching result generates a data use protocol through the contract management module, so that the data use compliance is ensured. And the user interaction module is used for displaying and confirming protocol content and ensuring consensus of a data provider and a data demander. Once confirmed by the protocol, the data resource description will be delivered to the data demander through the AIAgent delivery engine. According to the invention, the data interaction and delivery efficiency is greatly improved, manual intervention is reduced, intelligent scheduling, development and utilization of data resources are realized, and data transaction circulation is effectively promoted.

The invention discloses a resource allocation and configuration method and device and electronic equipment. The method comprises the following steps: converting network resources in a private network into programmable objects, and constructing a resource label model according to attribute information of the programmable objects and the network resources; receiving service demand information, extracting a service intention in the service demand information, and converting the service intention into a standardized intermediate instruction; generating a resource allocation scheme according to the standardized intermediate instruction and the network resource use state information, and evaluating the resource allocation scheme in a digital twin environment of the private network; and under the condition that the evaluation result of the resource allocation scheme in the digital twin environment meets a preset requirement, converting the resource allocation scheme into a control instruction, and sending the control instruction to the network resource. The technical problems of low network resource allocation efficiency and slow service response speed caused by non-uniform resource description and high service demand analysis difficulty in a multi-manufacturer heterogeneous network environment are solved.

The invention discloses a discrete manufacturing full-life-cycle intelligent computing system and method, the system comprises a data knowledge layer, a computing adaptation layer and a parallel service layer, a virtual matching mechanism is used between the data knowledge layer and the computing adaptation layer, that is, primary mapping is formed according to task demand description and manufacturing resource description in a twin world, an optimal algorithm is called for a specific task, the most reasonable resources are adapted, an optimal service strategy is obtained, and a mapping process from a service demand to the service strategy is realized; a virtual-real parallel computing mechanism is used between a computing adaptation layer and a parallel service layer, that is, a mutual linkage relation is established in a physical world according to a service execution strategy obtained in a twin world, so that the requirement of discrete manufacturing full-life-cycle intelligent service is met, and the mapping process from a service strategy to service execution is achieved. And through two times of mapping, autonomous computing adaptation of task-knowledge-algorithm-resource in the whole life cycle of discrete manufacturing is realized.

The invention discloses a data storage method and device, electronic equipment and a storage medium, and relates to the technical field of computers, and the method comprises the following steps: obtaining load description information and resource description information corresponding to virtual storage units matched with a target terminal; determining respective priority coefficients of the at least one virtual storage unit according to the load description information and the resource description information; under the condition that a first virtual storage unit is determined from the at least one virtual storage unit, at least one second virtual storage unit in routing connection with the first virtual storage unit and the at least one first virtual storage unit are added to a storage unit group; and determining a target storage unit from all the storage unit groups. According to the technical scheme, the priority is comprehensively obtained through the load description information and the resource description information, and then the target storage unit is obtained based on the priority, so that the accuracy of selecting the virtual storage unit is improved, and the problem that the accuracy of selecting the virtual storage unit is low in the related technology is solved.

The invention discloses a transformer area differentiated resource integrated communication method based on an intelligent fusion terminal, and the method comprises the following steps: S1, building a three-dimensional resource description model which comprises an equipment type, a communication protocol and data features, and carrying out the unified modeling of a photovoltaic inverter, an energy storage device and an intelligent electric meter; s2, dynamically calculating a communication priority weight according to the real-time state of the equipment and the operation requirement of the power grid; S3, selecting an optimal communication channel through a hybrid decision model; and S4, realizing protocol non-sensitive interaction by adopting an AST driving architecture which comprises a grammar analysis layer and a semantic conversion layer. According to the method, deep coupling of a communication technology and power system control is achieved, and normal form transformation from passive adaptation to active optimization is achieved through breakthrough of the three technologies. Firstly, the multi-dimensional cooperative communication capability is improved, a dynamic priority mechanism is introduced, a three-dimensional weight model is constructed based on an equipment type, a power grid state and a service demand, and accurate distribution of communication resources is realized.

The invention discloses a computing power resource intelligent transaction optimization method and system, and relates to the technical field of cloud computing. Comprising the following steps: acquiring multi-source heterogeneous computing power resource data, performing normalization processing and vectorization modeling, and generating a standardized resource feature vector; historical and real-time data are collected to construct a demand side service portrait and a supply side dynamic resource map, and a space-time perception supply and demand situation model is formed; a multi-objective optimization model comprehensively considering resource utilization rate, carbon emission intensity, policy preferential income and transaction cost is established based on the model, and a non-dominated solution set is generated by adopting a Pareto optimization algorithm; and constructing an intelligent matching decision engine based on a reinforcement learning framework, carrying out real-time sensing, dynamic adjustment and execution on the transaction strategy scheme, and outputting a final executable transaction scheme. The technical problems of low computing power transaction efficiency and low resource utilization rate caused by non-uniform computing power resource description, supply and demand situation perception lag, single optimization target and stiffness of a matching mechanism are solved.

The invention discloses a resource processing method and device, equipment and a storage medium. The method comprises the steps of obtaining object attribute information of a target object and resource description information of multiple target resources to be recommended to the target object; determining a language prompt template configured for a target task and a target language model obtained by training a sample language text generated based on the language prompt template, wherein the target task is a task for predicting the behavior feedback rate (namely the probability that the resource is subjected to a target feedback behavior) of the resource; based on the language prompt template, generating a plurality of target language texts by adopting the resource description information of the plurality of target resources and the object attribute information of the target object; and calling the target language model to predict the behavior feedback rate of the corresponding target resource according to each target language text, so as to perform resource recommendation for the target object based on the prediction result. The prediction accuracy and the prediction efficiency of the behavior feedback rate of the to-be-recommended resources can be improved, so that the resource recommendation effect is improved.

This application discloses a data storage method, apparatus, electronic device, and storage medium, relating to the field of computer technology. The method includes: acquiring load description information and resource description information corresponding to each virtual storage unit matched with a target terminal; determining a priority coefficient for each of at least one virtual storage unit based on the load description information and resource description information; if a first virtual storage unit is determined from the at least one virtual storage unit, adding at least one second virtual storage unit with a routing connection to the first virtual storage unit, as well as at least one first virtual storage unit, to a storage unit group; and determining a target storage unit from the entire storage unit group. By comprehensively obtaining priority information from both load description information and resource description information, and then selecting the target storage unit based on that priority, the accuracy of virtual storage unit selection is improved, thereby solving the problem of low accuracy in virtual storage unit selection in related technologies.

The invention relates to the technical field of computers, in particular to a training method of a voice recognition model, a voice recognition method and a related device, which are used for efficiently and automatically constructing a training sample of audio and video resources so as to quickly improve the voice recognition precision of the voice recognition model. The method comprises the following steps: performing lexical element splitting on resource description information of a to-be-processed resource to obtain a plurality of candidate lexical elements; selecting at least one candidate lexical element meeting a first screening condition as a keyword element based on the structure evaluation values corresponding to the plurality of candidate lexical elements and the occurrence times of the candidate lexical elements in the resource description information; for each candidate sentence, constructing a training sample based on the candidate sentence, and performing audio conversion on the training sample to obtain an audio tag of the training sample; and training the speech recognition model based on the plurality of training samples and the respective audio tags.

Provided in the present disclosure are an information transmission method, an apparatus, a device, a storage medium and a computer program product. The method comprises: a first network element receives first information, wherein the first information represents a resource descriptor related to a field programmable gate array (FPGA) hardware resource required by an application to be deployed, and the first information is used for generating configuration information of a target FPGA device deploying said application.

Embodiments of the present application provide a resource processing method, a cloud service instance processing method and device, comprising: receiving a resource application request sent by a target user equipment; the target user equipment belongs to a user equipment in a resource platform; in response to the resource application request, finding a quota corresponding to target resource description information corresponding to the target user equipment from preset quota data to obtain a target quota; the target resource is resource description information applied by the target user equipment this time, and the preset quota data includes quotas corresponding to different resource description information predicted for the user equipment in the resource platform; and according to the target quota, allocating a target resource in the resource platform to the target user equipment, the target resource including a resource described by the target resource description information. In this way, the accuracy of the preset quota data can be improved to some extent, and the resource allocation effect can be improved.

The invention provides a resource sharing method, device and equipment and a storage medium, and relates to the field of resource management. The resource sharing method comprises the following steps: acquiring resource retrieval information input by a user; according to the resource retrieval information, performing resource retrieval from uniform resource description information; displaying the retrieved resources, scheduling information of the retrieved resources and a reservation function control; and performing approval processing on a resource reservation request submitted by the user through the reservation function control. Therefore, resource sharing is realized, and the resource utilization rate is improved.

The application discloses a resource allocation method and device for offshore emergency rescue, and the method comprises the following steps: acquiring a set of offshore emergency rescue demand information, a set of rescue resource description information and a set of rescue resource technical state parameter time series; the rescue resource description information comprises a rescue capability index value; each rescue demand index is one-to-one corresponding to the rescue capability index; pre-processing the set of offshore emergency rescue demand information, the set of rescue resource description information and the set of rescue resource technical state parameter time series to obtain a set of pre-processed information; performing resource allocation processing on the set of pre-processed information to obtain a set of resource allocation information; the set of resource allocation information comprises resource allocation information; the resource allocation information is used for describing the allocation information of resources for tasks.

The invention discloses a code generation method and device, equipment, a storage medium and a program product. The method comprises the steps that a data file of a target system is obtained, and the data file comprises a command statement; extracting a plurality of command elements from a command statement of the data file; based on the semantic mapping relationship, mapping the plurality of command elements into structured resource description information; generating an open interface metadata file based on the open interface protocol and the structured resource description information, the open interface metadata file being used for providing interface generation metadata and interface generation specification information for generating an executable interface code; and generating a target executable interface code based on the interface generation template and the open interface metadata file. According to the code generation method provided by the embodiment of the invention, the efficiency and accuracy of generating the target executable interface code can be improved.

The invention discloses a resource transaction monitoring method and device, equipment and a medium, and relates to the technical field of financial science and technology. The method comprises the following steps: acquiring resource quotation data provided by an intermediate party and historical transaction data provided by a transaction platform party; wherein the resource quotation data comprises target resource description data, initial quotation data and asset voucher data of an intermediate party; verifying the qualification of the intermediate party according to asset voucher data in the resource quotation data, performing abnormal fluctuation verification on the initial quotation data and the historical transaction data according to the target resource description data, and determining target quotation data according to a qualification verification result and an abnormal fluctuation verification result; and forming a resource transaction request based on the target quotation data, and reporting the resource transaction request to a block chain layer, so that the block chain layer performs transaction processing according to the resource transaction request. Through the technical scheme of the invention, nearly real-time pricing update can be realized, and the efficiency and accuracy of the pricing process are improved.

The application discloses a kind of general task scheduling framework systems and methods supporting dynamic arrangement, belong to computer software system architecture technical field, including framework engine core, field adaptation layer and functional plug-in;The framework engine core is the general scheduling execution engine irrelevant to specific business field, including resource abstract module, task abstract module, dynamic arrangement and execution engine and plug-in warehouse and manager;The resource abstract module defines uniform resource description interface, and converts original resource data into resource image.The application can dynamically retrieve, load plug-in and assemble into exclusive plug-in workflow according to the unique needs of individual task from plug-in warehouse during scheduling operation by dynamic arrangement mechanism, realize the "thousand people thousand faces" and "one task one strategy" of scheduling strategy, so that scheduling strategy can dynamically adapt to task demand, completely solve the defect that static strategy cannot match individualized needs of task.

Methods, apparatus, and systems are disclosed for container attestation in client-based workloads. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to access a container attestation and an owner policy, the container attestation including a first signature and the owner policy including a second signature, determine that the first signature and the second signature are valid, iterate through configuration sets of the owner policy to identify a match between a claim of the container attestation and a configuration set, identify a resource constraint associated with the configuration set, and generate a resource description based on the resource constraint, the resource description to determine execution of a container workload on a client-based platform.

The present invention belongs to the field of smart city and Internet of Things technology, and discloses a method and system for air-ground collaborative three-dimensional perception of block emergency scenarios. The present invention takes block emergency events as the center, regards each type of observation equipment as a basic event, and constructs an observation planning model for air-ground collaboration; constructs a resource description ontology model of the block perception network, and establishes inference rules based on the resource description ontology model to realize network planning; aggregates and organizes multi-source terminal heterogeneous data obtained by several observation devices to obtain air-ground collaborative observation data; and integrates geographic information display of the air-ground collaborative observation data and its inversion data to realize three-dimensional perception of block emergency scenarios. The present invention can realize real-time reflection and visualization of block observation elements in emergency scenarios, and can support the efficient operation of emergency response systems and mechanisms, so as to respond to emergency responses in a scientific, orderly and efficient manner.

The invention discloses a resource allocation method and device for maritime emergency rescue. The method comprises the following steps: acquiring a maritime emergency rescue demand information set, a rescue resource description information set and a rescue resource technical state parameter time sequence set; the rescue resource description information comprises a rescue capability index value; each rescue demand index is in one-to-one correspondence with the rescue capability index; preprocessing the maritime emergency rescue demand information set, the rescue resource description information set and the rescue resource technical state parameter time sequence set to obtain a preprocessed information set; performing resource allocation processing on the preprocessed information set to obtain a resource allocation information set; the resource allocation information set comprises resource allocation information; the resource allocation information is used for describing allocation information of resources for tasks.

The invention, which relates to the technical field of the computing power Internet, discloses a computing power identification method for the computing power Internet, comprising the following steps: S1, collecting computing power resource information; s2, computing power identification coding; s3, registering and reporting the computing power identifier; s4, computing power identification analysis and statistics are carried out; and S5, scheduling based on computing power identification. According to the computing power identification method oriented to the computing power internet, the computing power resources are identified in a unified mode through clear steps and coding principles, the problem that in the prior art, description and positioning of the computing power resources are lack of unified standards and specifications is solved, description, positioning and addressing of the computing power resources can be achieved, and the computing power resources can be identified in a unified mode. And the deep development requirement of the computing power internet is met. And through registration, reporting, analysis and statistics of the computing power identifiers, unified resource description is provided for links such as access, perception, scheduling and transaction settlement of the computing power resources, so that efficient management and scheduling of the computing power resources are realized, and the utilization efficiency of the computing power resources is improved.

The invention discloses a real-time house resource matching system and method based on LBS and dynamic weight, and relates to the technical field of house resource information processing, and the method comprises the steps: constructing a dynamic semantic network fusing a house resource description text and geographic space information; establishing a dynamic weight calibration strategy of spatio-temporal situation perception, and generating a dynamic house resource weight representing the current spatio-temporal situation and the potential demand of the user; based on the dynamic semantic network and the dynamic house resource weight, performing multi-source evidence cross validation in combination with user query semantics, house resource geographic space attributes, historical user evaluation emotion tendencies and house resource surrounding real-time environment data to generate a house resource matching evaluation result; collecting and analyzing a user interaction behavior track, and identifying dynamic transformation information of a user behavior mode; and according to the housing resource matching evaluation result and the dynamic transformation information, generating and executing differential matching strategies for different users.

The invention discloses a knowledge graph construction method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring resource description information of a target domain; the method comprises the following steps: extracting a large model through target information, and extracting entities, association relationships between the entities and attribute information of the entities from resource description information to obtain an entity-relationship-entity triple and an entity-attribute-attribute value triple; the target information extraction large model is obtained by performing fine tuning on a first information extraction large model based on a fine tuning data set, the first information extraction large model is obtained by pre-training an initial information extraction large model based on first resource description sample information, and the fine tuning data set comprises second resource description sample information and a corresponding triple tag; and based on the entity-relation-entity triple and the entity-attribute-attribute value triple, constructing a knowledge graph of the target domain. According to the embodiment of the invention, the construction efficiency of the knowledge graph can be improved.

The embodiment of the invention discloses an instruction scheduling method and device, computer equipment and a storage medium, and belongs to the technical field of computers. The method comprises the steps that hardware resource description information is obtained, the hardware resource description information comprises description information of multiple instructions, and the description information comprises first hardware resources needed to be used by the instructions; the hardware resource description information is updated, so that the description information of the at least one instruction comprises at least one of a first virtual hardware resource and a second virtual hardware resource and a first hardware resource, and the first virtual hardware resource represents a space to which a transmitting slot required to be used by the instruction belongs in an instruction packet; the second virtual hardware resource represents a pipeline stage to which the instruction belongs; and in the instruction scheduling process, conflict detection is carried out based on the updated hardware resource description information. According to the method and the device, the conflict detection accuracy is improved, the instruction scheduling accuracy is further improved, the operation is simplified, and the operation efficiency is improved.

The embodiment of the invention provides a resource information processing method and device, a storage medium and a program product. After a terminal request is received, a first target object triggered by a preset behavior and a second target object of which the historical interest is higher than a threshold value are included in a conversion range, and a target resource mapping matrix is constructed in real time in combination with resource information updated by a platform in real time and a use rule; converting the matrix into a target resource allocation matrix capable of representing an optimal allocation relationship between resource information and objects by taking maximization of the quantity of resources allocated to all target objects as a target, and completing global assignment at one time; and generating resource description information according to the target resource allocation matrix and displaying the information back to the terminal to guide the user to complete the target operation. According to the scheme, normal form upgrading from static superposition to dynamic matrix global optimal allocation is realized, continuous, accurate and maximized resource saving experience is provided for a user in a scene that multiple target objects, resource information and use rule information thereof change in real time, and the platform object conversion rate is remarkably improved.

The invention relates to a virtualized security resource pool construction method, system and device and a medium. The method comprises the following steps: carrying out attribute normalization on state data and credible baseline measurement to obtain a security resource description set and a baseline measurement abstract; converting the business demand information into a business security intention graph by adopting intention modeling; generating a candidate service chain, a candidate instance set and a verifiable service chain pass according to the security resource description set, the service security intention graph and the baseline measurement abstract; performing remote certification on the candidate instance set to collect runtime measurement reports, and performing credible instance screening according to the matching condition with the baseline measurement abstract to obtain a credible security instance pool; and performing mapping binding on each function node of the candidate service chain and the instance in the trusted security instance pool, and adding a corresponding verifiable service chain pass to a mapping binding relationship to obtain a security resource pool. By adopting the method, the virtualized security resource pool deployed by the trusted service chain can be generated.

The present application relates to a power resource processing method, apparatus, computer device, storage medium, and computer program product based on a genetic algorithm. The method includes: obtaining an increase in virtual resources for an electricity load, a virtual resource description limit value, and an initial resource description information set corresponding to each electricity load aggregation end recorded in a resource interaction platform; for each initial resource description information set, constructing a first model with the goal that the result of resource interaction meets a first preset condition and a second model with the goal that the result of resource transfer meets a second preset condition according to the increase in virtual resources and the virtual resource description limit value; constructing a target resource description information model according to the first model and the second model; and iteratively optimizing the initial resource description information set in the target resource description information model through a genetic algorithm to obtain target resource description information for indicating resource interaction. Using this method can improve the utilization efficiency of power resources.