74 results about "Resource exchange" patented technology

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.

A Subscriber Identity Module (SIM) card feature-based Non-Fungible Token. SIM card features, such as communication features, software / hardware features, electrical features, SIM Card behavior features and / or the like are extracted from the SIM card of a user's mobile communication device and a SIM card feature-based NFT is generated and stored on a distributed trust computing network. The distributed trust computing network serves to verify the authenticity of the underlying SIM card features. The NFT is subsequently used as a means for authentication is resource exchange events and other events requiring user / mobile communication device verification.

A computer-implemented method when executed by data processing hardware causes the data processing hardware to perform operations. The operations include initiating, at a first ecosystem, a request, the first ecosystem being one of a donor and a requestor, discovering, by a second ecosystem, the initiated request, the second ecosystem being the other of the donor and requestor, and executing, at one of a first ecosystem and a second ecosystem, a resource exchange auction protocol (REAP). The REAP includes controlling access to resources, assessing the other of the first ecosystem and the second ecosystem, selecting the other of the first ecosystem and the second ecosystem, and sharing the resources of one of the first ecosystem and the second ecosystem with the other of the first ecosystem and the second ecosystem.

A method of transferring assets and resources between virtual game economies that where machine learning logic manages the resource exchange rates and the resources with the virtual game economies to provide a stable relationship between the virtual economies. A blockchain is used to track the transactions into, out of, and between the virtual economies.

The embodiment of the invention provides an anomaly detection method and device for resource exchange data, equipment, a medium and a product, and relates to the field of artificial intelligence or the field of financial science and technology. The method comprises the following steps: acquiring resource exchange data in real time, and performing graph conversion processing on the resource exchange data to generate a resource exchange graph; determining a display abnormal event according to the resource exchange atlas, and inputting the resource exchange atlas into a pre-constructed resource detection model to obtain an implicit abnormal score; and finally, determining an exception detection result of the resource exchange data according to the display exception event and the implicit exception score. According to the method, the change condition of the resource flow direction at different time points can be continuously tracked, and the problem that the time continuity of the resource flow direction is difficult to dynamically track in an existing graph database detection mode is solved, so that more efficient resource anomaly detection is realized.

The present application is suitable for the technical field of POS terminals, and discloses a resource exchange system and method, a terminal device, and a computer-readable storage medium. The method is applied to a terminal, a first software development kit of a management server is integrated in the terminal, the first software development kit comprises a positioning software development kit, and the management server is used for managing the terminal. The method comprises: detecting a first operation for a first application program in a terminal, wherein the first operation is used for triggering the terminal to execute a resource exchange service; in response to the first operation, calling a positioning software development kit to request a management server to position the terminal; receiving the geographic position of the terminal from the management server; and processing the resource exchange service on the basis of the geographic position. Third-party services are prevented from being used in a terminal, and a management server also provides management and positioning services including a resource exchange service, thereby achieving one-stop management of the terminal, reducing the difficulty of using a POS terminal by a user, and ensuring the security of transactions.

The present invention provides a method and system for exchanging and sharing multi-source data information resources. The method includes obtaining business information resources, and further includes the following steps: integrating the business information resources according to business requirements to obtain shared information resources; and pushing the shared information resources according to a preset pushing strategy. The present invention proposes a method and system for exchanging and sharing multi-source data information resources, which can effectively improve the utilization rate of information resources.

The invention discloses a mobile crowd sensing matching method for multi-platform cooperation, and the method is realized through two stages: in the first stage, a Gal-Shapley algorithm is adopted to establish basic stable matching and obtain an initial matching result, and in the second stage, a TTC mechanism is introduced to carry out matching optimization on the initial matching result in the first stage, and cross-platform resource exchange is realized. According to the matching method, the limitation of NRMP static one-time matching is broken through, and continuous optimization is realized through a two-stage mechanism. On the basis of keeping initial matching stability, a TTC mechanism at the second stage supports worker exchange, so that the system efficiency is improved compared with that of a traditional scheme, the problem of benefit deviation caused by NRMP unidirectional preference is solved, constraints are improved through Pareto, and benefit balance of a platform and workers is ensured.

The invention provides a resource exchange strategy acquisition method and device, equipment, a medium and a program product, relates to the technical field of business management and control, and can solve the problem that accurate and efficient risk management and control cannot be carried out on factoring business without a tracing right. The specific technical scheme is as follows: constructing a vector network diagram of a target service; calculating the proportion of each edge entity in the resource exchange of the core entity based on the resource exchange numerical value between the core entity and each edge entity; calculating a contribution degree value based on the proportion of each edge entity in the resource exchange of the core entity, at least one type of element cost of the core entity and the reference cost sequence; calculating a first risk probability value of each edge entity and a second risk probability value of the core entity; and based on the contribution degree value and the first risk probability value and the second risk probability value of each side entity, calculating a credit support quota reference value of each side entity to generate a resource exchange strategy of each side entity. The method is used for carrying out risk management and control on the business.

The embodiment of the invention provides a virtual resource application state identification method and device, equipment, a medium and a product, and relates to the field of artificial intelligence or the field of financial science and technology. The method comprises the steps of firstly obtaining resource exchange data of a target object, then constructing a multi-source association graph of the target object according to the resource exchange data, then inputting the multi-source association graph into a prediction model to obtain a false use probability of a virtual resource, and finally, when the false use probability is greater than a preset use probability, performing prediction on the virtual resource. And determining that the application state of the virtual resource is a false application. According to the method, the problem that false resource use cannot be accurately identified in a manual mode is solved, false resource use behaviors can be more accurately identified, and the identification efficiency and accuracy are improved.

The application provides a resource discounting method and device, electronic equipment, medium and program product, which can be used in the field of data processing. The method comprises the following steps: determining a first discount resource required by a commodity, a first account for purchasing the commodity, and a first identification level where the first discount resource is located; determining an identity identifier of a user associated with the first account according to an account identifier of the first account, and determining each second discount resource held by the user at the first identification level according to the identity identifier; determining a conversion ratio of each second discount resource into the first discount resource, and determining a first ratio in each conversion ratio, wherein the first ratio is used to indicate a conversion ratio less than a preset threshold; and converting the second discount resource corresponding to the first ratio into the first discount resource. In the application, the retention effect of the discount resource on the user is improved.

This application provides an error-aware multi-model scheduling method, apparatus, device, and storage medium. The method includes: acquiring a task request, and the processing success probability and processing consumption parameters of each large model providing object; acquiring the task baseline coefficient of the task request, and calculating a scheduling priority value for each large model providing object based on the task baseline coefficient, processing success probability, and processing consumption parameters; allocating the task request to the target large model providing object with the highest scheduling priority value for processing, acquiring the task processing result for evaluation, and obtaining an evaluation coefficient; determining the reference scheduling priority value and evaluation coefficient of a reference large model providing object with a scheduling priority value lower than the target large model providing object, and calculating the result exchange coefficient of the target large model providing object; and returning resource exchange data to the target large model providing object based on the result exchange coefficient. This improves the accuracy and efficiency of routing resource allocation.

Systems and methods for controlling a multiple generating resource site. A controller receives from a check meter measured characteristics of power flowing through a power interconnect point. The controller receives measured power characteristics for each generating resource exchanging power through the power interconnect point. Based on the characteristics of power flowing through the power interconnect point and measured power characteristics for each generating resource, the controller determines: loss values for each transmission link system connecting each power generating resource to the check meter, and an apportionment of losses among those transmission link systems. Based on control data defining characteristics of power to be exchanged through the power interconnect point, power adjustments for the generating resources are determined based on the apportionment of losses. One or more of the generating resources are commanded to produce power based on the power adjustments.

A resource exchange method and apparatus, computer device, computer-readable storage medium and computer program product. The method includes: receiving an instant resource exchange request sent by an exchange requester; performing a resource exchange between the exchange requester and a first exchange responder corresponding to a first expected value limit of a current exchange response attribute corresponding to the instant resource exchange request; generating a first resource request condition based on the first expected value limit when it is detected that a remaining required resource amount of the instant resource exchange request is greater than a preset resource amount threshold; and upon detecting that the second resource request condition matching the first resource request condition, performing a resource exchange between the exchange requester and a second exchange responder corresponding to the second resource request condition based on the second resource request condition.

The embodiment of the invention provides a multi-model scheduling method and device based on error perception, equipment and a storage medium. The method comprises the steps of obtaining a task request, and a processing standard reaching probability and a processing consumption parameter of an object provided by each large model; obtaining a task reference coefficient of the task request, providing an object for each large model, and calculating a scheduling priority value in combination with the task reference coefficient, the processing standard reaching probability and the processing consumption parameter; distributing the task request to the target large model with the highest scheduling priority value to provide object processing, and obtaining a task processing result for evaluation to obtain an evaluation coefficient; determining a reference scheduling priority value and an evaluation coefficient corresponding to a reference large model providing object of which the scheduling priority value is lower than that of the target large model providing object, and calculating a result exchange coefficient of the target large model providing object; and providing object return resource redemption data to the target large model based on the result redemption coefficient. Therefore, the accuracy of routing resource allocation and the routing efficiency can be improved.

The invention relates to a resource transfer method and device based on a smart contract, computer equipment, a storage medium and a computer program product. The method comprises the steps that when a user account obtains media resources through a media resource platform, the resource obtaining amount of the media resources obtained by the user account is determined according to a resource statistics unit for the media resources; when the resource exchange triggering condition is met, determining a resource exchange amount according to the resource acquisition amount based on an intelligent contract deployed in the block chain network; the resource exchange quantity represents a resource quantity corresponding to asset resources required to be exchanged for acquiring the media resources of the resource acquisition quantity when the media resources are exchanged through the asset resources; and carrying out asset resource transfer to the media resource platform according to the resource exchange amount from an asset resource account associated with the user account based on the intelligent contract. By adopting the method, resource exchange modes for media resources such as images, texts, audios and videos can be enriched, so that the actual exchange requirements of the media resources in various scenes can be met.

The invention provides a resource data processing method and device, electronic equipment, a computer readable storage medium and a computer program product. The resource data processing method and device are applied to various resource data processing scenes such as cloud technology, artificial intelligence, intelligent transportation, games and multimedia. The resource data processing method comprises the following steps: collecting an exchange data set among all exchangeable resources; constructing a resource exchange network by taking the exchangeable resources in the exchange data set as network nodes and the resource exchange events as node edges; determining resource exchange information from a resource exchange network, wherein the resource exchange information comprises at least one of a to-be-adjusted exchange relationship set, a target exchanged resource set, a central resource set, a redundant resource set, a shortage resource set, a complementary resource information set and an exclusive resource information set; and determining to-be-adjusted resources corresponding to the resource exchange information, and adjusting the to-be-adjusted resources. According to the method and the device, the exchange stability among the exchangeable resources can be improved.

The invention relates to a resource exchange method and device in edge computing of the Internet of Vehicles, and the method effectively solves the problem of queue congestion caused by limited computing capability of edge computing nodes by constructing a dynamic exchange mechanism of resource fragments among jobs. According to the method, operation pairing is screened based on queuing time length difference and time interval constraint, the feasibility of exchange is ensured, and the QoE value is associated with soft deadline through the design of a utility function, so that income and cost evaluation closely meets the requirement of Internet of Vehicles operation for real-time performance; furthermore, the double-sub-function structure of the target function balances the benefit appeals of both parties of operation, and resource exchange is converted into mutual benefit behaviors through a compensation mechanism, so that the system instability caused by unilateral resource preemption is avoided; therefore, the resource utilization rate of the edge computing nodes is improved, and the overall response capability of vehicle operation is improved.

A method of transferring assets and resources between virtual game and or application economies that where machine learning logic manages the resource exchange rates and the resources with the virtual game and application economies to provide a stable relationship between the virtual economies. A ledger is used to track the transactions into, out of, and between the virtual economies.

The embodiment of the invention discloses a data processing method for a resource exchange service, related equipment and a program product, and the method comprises the steps: obtaining service data generated by the resource exchange service, and determining the data attribute of the service data; based on the determined data attributes, selecting a target model from a model pool, the target model being associated with at least one data attribute; respectively calling the target model and the rule engine, and performing resource analysis on the resource provider based on the business data to obtain a model analysis result corresponding to the target model and a rule analysis result corresponding to the rule engine; and based on the model analysis result and the rule analysis result, a resource analysis report of the resource provider is generated, and an accurate resource analysis result can be generated in a complex and changeable service environment.

The invention provides a resource processing method and device, electronic equipment and a storage medium. The method comprises the following steps: receiving a first resource exchange request for exchanging a first resource type into a second resource type; a resource exchange parameter set is obtained based on the first resource exchange request, the resource exchange parameter set comprises a plurality of resource exchange parameters, and the resource exchange parameters are instant exchange ratios which are received from a plurality of resource exchange platforms based on the exchange ratio continuous obtaining request and exchange a first resource type into a second resource type; the exchange ratio is a ratio of a second resource quantity corresponding to the second resource type to a first resource quantity corresponding to the first resource type; determining a target resource exchange platform corresponding to the resource exchange parameter with the maximum value in the resource exchange parameter set; and sending the first resource exchange request to the target resource exchange platform. According to the embodiment of the invention, the flexibility of determining the target resource exchange platform can be improved, and resource loss is avoided.

Facilitating peer-to-peer cloud computing resource sharing with a licensed distributed ledger is provided. A request of a computing resource consumer for additional computing resources from a computing resource provider via a peer-to-peer decentralized network is detected. In response to verifying that the computing resource consumer is authorized to consume the additional computing resource and the computing resource provider is authorized to transfer the additional computing resource to the computing resource consumer via the peer-to-peer decentralized network, a computing resource exchange environment is generated to transfer the additional computing resource from the computing resource provider to the computing resource consumer. Additional computing resources are transferred from a computing resource provider to a computing resource consumer for consumption via a computing resource exchange environment. Additional computing resources provided by computing resource providers and consumption of the additional computing resources by computing resource consumers are anonymized.

The invention relates to a resource scheduling method and device in a power grid, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: constructing a double-layer decision framework; inputting the resource exchange value data and the resource exchange demand data into an upper-layer framework, and determining an initial strategic clearing decision by taking the minimum operation cost of carbon emission factor scheduling as a target function; inputting the initial strategic clearing decision to a lower layer frame, determining a carbon emission factor and carbon emission of each node in the power grid by combining system power flow distribution of the power grid, and determining a mapping relation between the carbon emission and the carbon emission factor of each node in the power grid; and performing linearization processing and solving on the mapping relation to obtain the optimized carbon emission factor and the optimized carbon emission of each node in the power grid, and adjusting the initial strategic clearing decision to obtain a final strategic clearing decision. The method can improve the carbon emission reduction effect in the power grid.

A computer-implemented method, when executed by data processing hardware, causes the data processing hardware to perform operations. Operations include: initiating a request at a first ecosystem, the first ecosystem being one of a provider and a requester; discovering, by a second ecosystem, the initiated request, the second ecosystem being the other of the provider and the requester; and executing a resource exchange auction protocol (REAP) at one of the first ecosystem and the second ecosystem. REAP includes: controlling access to a resource; evaluating the other of the first ecosystem and the second ecosystem; selecting the other one of the first ecosystem and the second ecosystem; and sharing resources of one of the first ecosystem and the second ecosystem with the other of the first ecosystem and the second ecosystem.

The invention discloses a virtual resource exchange transaction method and a related product. The method comprises the following steps: in response to a price query request for an exchange transaction of virtual resources, obtaining a resource exchange type corresponding to the exchange transaction, an order placing day type and a first resource exchange ratio of the exchange transaction at an order placing moment; determining a preset transaction period corresponding to the exchange transaction based on the order placing day type and the resource exchange type; based on the first resource exchange ratio, determining a second resource exchange ratio from a plurality of resource exchange ratios in a preset transaction period, the second resource exchange ratio being greater than or equal to the first resource exchange ratio; and outputting a second resource exchange ratio, wherein the second resource exchange ratio is used for indicating the settlement price of the exchange transaction. In this way, for a payment institution, the flexibility of payment and settlement can be improved. And moreover, the income index of the payment institution can be increased, so that the income index of the payment institution reaches the expectation as much as possible.

The embodiment of the present specification provides a method and device for vulnerability detection of a target application, which is a decentralized application based on a block chain and supports resource exchange and transfer based on several types of tokens. The above method comprises: firstly, recording a transaction execution track involving a smart contract in an application execution process to form a call tree, the call tree containing transaction nodes and event nodes. Then, based on the call tree, extracting token transfer events and mining the roles involved in each transaction to determine target transfer actions occurring between a user and the target application, and each target transfer action forms a token flow. Then, the token flows for each type of token are merged, and the cumulative transfer-in amount and the cumulative transfer-out amount are determined based on the merged token flows. According to the cumulative transfer-in amount and the cumulative transfer-out amount, it is determined whether there is a token leakage vulnerability.

The application relates to an investment return rate prediction method, device and equipment and a computer readable medium. The method comprises the following steps: obtaining total access amount data of a target commodity in an e-commerce platform, wherein the target commodity is a commodity for which a target object launches a promotion activity on multiple social media platforms to exchange resources in the e-commerce platform; extracting baseline access amount data from the total access amount data to obtain residual social media total contribution access amount data; determining an investment return rate of each promotion activity in each social media platform based on platform weights of the social media platforms, promotion index indexes of the promotion activities in each platform and the social media total contribution access amount data. The application solves the technical problem that existing investment return rate evaluation needs to collect user personal data.

The present invention provides a method, device, electronic device and storage medium for exchanging virtual resources. The method provides a graphical user interface (GUI) through a terminal device, the GUI including virtual objects and resource intelligent exchange controls. The method includes: in response to a first operation on the resource intelligent exchange control, displaying a resource exchange interface based on virtual resource information corresponding to the upgraded virtual object; wherein the resource exchange interface includes exchange recommendation information and an exchange confirmation control, the exchange recommendation information including virtual swap-out resource information and virtual swap-in resource information; and in response to a second operation on the exchange confirmation control, executing a virtual resource exchange action corresponding to the exchange recommendation information. This technology simplifies the resource exchange process and improves the efficiency of resource exchange.

The application provides a financial resource allocation method and device and related equipment, relates to the field of resource management, and is suitable for the field of financial technology. The method comprises the following steps: obtaining reserved financial resources; configuring corresponding candidate codes for a first number of participating objects; performing splitting processing on each candidate code to obtain a corresponding candidate code group; wherein the candidate code group comprises at least one candidate sub-code; in response to a participating object completing a preset participation task, distributing a candidate sub-code of the candidate code group to the corresponding participating object; in response to a preset exchange condition being met, generating a target resource exchange code; matching the target resource exchange code with each candidate code to determine a resource allocation object as a participating object that matches the candidate code to the target resource exchange code; and in response to all candidate sub-codes of the candidate code group being distributed to the resource allocation object, distributing the reserved financial resources to the resource allocation object. The application can improve the flexibility of financial resource allocation.

An embodiment for simulating an exchange of resources in a multi-machine environment is provided. The embodiment may include receiving data relating to an activity and one or more machines to perform the activity. The embodiment may also include identifying each part of the one or more machines. The embodiment may further include creating a digital twin model of each identified part. The embodiment may also include executing a digital twin simulation of the activity. The embodiment may further include in response to determining at least one machine is associated with an insufficient resource, identifying a required resource and at least one machine having the required resource. The embodiment may also include exchanging the insufficient resource of the at least one machine associated with the insufficient resource for the required resource of the at least one machine having the required resource.