271 results about "Multiple domain" patented technology

A system and method for extending mobile-optimized multi-stage language model processing with federated persistent cognitive architecture. The system processes prompts through a first large language model to generate “thoughts,” which are cached and processed with the original prompt through a smaller language model. Building upon the three-tier thought caching, the system implements a federated multi-tier hierarchy with local device, domain-specific branch, and global collective caches. A federated cognitive orchestrator coordinates operations across multiple domain-specialized instances, managing thought routing, state synchronization, and cross-domain knowledge sharing while maintaining domain boundaries. During user inactivity, autonomous reasoning continues in cloud environments, generating insights from existing thoughts and interaction history. The system performs memory consolidation, thought cache optimization, and cross-domain pattern recognition without consuming mobile device resources, while maintaining privacy boundaries. This persistent cognitive architecture functions as an evolving reasoning partner rather than merely a responsive tool.

Aspects of the invention provide a method, system, and computer program product for retrieval augmented generation. In one aspect, the method includes receiving a query. The method further includes classifying the query to a first domain within a plurality of domains. The method additionally includes determining an ambiguity associated with classifying the query. The method also includes retrieving an index of domain-specific vector embeddings corresponding to the domains when the ambiguity does not exceed a threshold for ambiguity. The method further includes prompting a large language model with the query and the domain-specific vector embeddings. The method also includes receiving a query response from the large language model as grounded with the most relevant index results. The method further includes forwarding the query response.

The invention discloses an underwater gliding robot anchoring process energy consumption optimization method and system based on a subdomain grey box model. The energy consumption optimization method comprises the steps that a white box energy consumption mechanism model in the underwater gliding robot anchoring process is established; the whole anchoring energy consumption stage of the underwater gliding robot is divided into a plurality of sub-domains, and a Latin hypercube design method is adopted to simulate and generate a plurality of sub-domain samples meeting variable range constraints by using a hardware-in-the-loop simulation platform; selecting a Kriging model as a sub-domain agent model, fusing the white-box energy consumption mechanism model and constraint conditions of an oil bag volume and a movable mass position to form a sub-domain grey-box model, and performing segmented energy consumption fitting by using the sub-domain grey-box model; and with minimization of energy consumption fitted by the sub-domain grey box model as a target, performing iterative optimization on the sub-domain proxy model by adopting a dynamic guidance self-adjusting particle swarm algorithm, and outputting optimal planning parameters. The method realizes anchoring full-process low-energy-consumption control, and is suitable for marine resource exploration, hydrological monitoring and other tasks.

Multiple agent root cause analysis techniques are described. In an implementation, a processor performs operations to troubleshoot performance of a system operation by a plurality of domains (e.g., of a distributed system). The processor executes a system artificial intelligence (AI) agent to determine which domains of the plurality of domains include domain functions in support of the system operation, and to generate, using machine learning, queries to the determined domains based on the system operation. Domain responses are received from domain AI agents associated with the determined domains responsive to the queries and generated based on domain data associated with respective domains. A system response is generated by the system AI agent using machine learning based on the domain responses.

Disclosed embodiments provide computer-implemented techniques for aggregating of data involving multiple domains in the format of a news bulletin or “newsletter” format. For various situations, this format can provide a quicker and more comprehensive understanding than is achievable with a visual dashboard. In disclosed embodiments, multiple domains are specified, where each domain can include a subject or category. One category is selected as a major domain. Other categories, referred to as satellite domains are also specified. A user provides scores that indicate the semantic importance of each satellite domain. A mathematical distance between each satellite domain and the major domain is computed based on the scores. Based on the mathematical distances, percentages of articles pertaining to each domain are computed, and used in assembling customized data that is output in a news bulletin format.

The invention belongs to the technical field of block chains and information security, and particularly relates to a cross-domain access method for enhancing security privacy protection based on a block chain. The architecture comprises a global coordination chain and a plurality of domain alliance chains; the global coordination chain deploys a strategy Merkel tree root, a cross-domain authentication log and an SGX security area verification record to form a global credible verification anchor point; the domain alliance chain adopts a distributed autonomous mode, equipment registration information is maintained in each independent domain, a policy tree and an anonymous certificate library are dynamically accessed, and data sovereignty isolation is realized. The invention aims to solve the problems of identity authentication centralization, easy leakage of privacy data, low cross-domain trust transmission efficiency and the like in the traditional cross-domain access technology.

The invention provides a rotary machine fault diagnosis method based on transfer learning, and the method comprises the steps: carrying out the multi-mode noise suppression processing of an obtained original vibration signal, and generating a noise reduction data set; inputting the noise reduction data set into a multi-layer deep residual network for feature extraction to obtain a time-space synchronization feature set; wherein the space-time synchronization feature set comprises source domain data and target domain data; inputting the time-space synchronization feature set into a multi-core domain alignment model based on physical constraints to obtain domain invariant features; and performing fault diagnosis on the domain invariant features through an adversarial migration fault classifier to obtain a target domain fault type. By adopting the method, high-robustness diagnosis of cross-working-condition, cross-sensor and other multi-domain difference scenes in a strong noise environment can be realized.

The present invention discloses a method for secure processing of bidding data based on blockchain, belonging to the field of data encryption technology. Specifically, it includes: dividing the original data into logical blocks along the time axis, and generating a dynamic feature code with a hierarchical relationship by non-linearly fusing the current data hash value with the last feature segment of the previous block. Constructing a three-dimensional verification topology network including a time-stamped vertical chain, a content-associated horizontal tree, and an environmental parameter space matrix. Establishing a dynamic verification channel, activating the cross-verification of the three-anchor point association path when retrieving data, and generating an integrity proof. A self-destruction mechanism is implanted during verification, and the data block is gradually erased in case of anomalies. Finally, a traceability map is generated, the key parameters are encrypted and stored dispersedly in multiple domains, and the hash digest of the storage domain coordinates is recorded through the blockchain; the present invention is applicable to high-security electronic bidding scenarios.

Methods for providing persistent, continuous, and / or customized expert interactions with a user, the method performed by a computer system (100) implementing a dedicated expert avatar (DEA), and corresponding systems and computer-readable mediums. A method includes receiving (702) a prompt (330) from a user and receiving (704) user history (306) and user preferences (308) corresponding to the user. The method includes applying (706) the user history (306) and the user preferences (308) to the prompt (330) to produce a plurality of queries (334), where each of the plurality of queries (334) corresponds to a respective expert avatar (XAv) system (320). The method includes transmitting (708) the plurality of queries (334) to the corresponding XAv systems (320) and receiving (710) an avatar response (336) from each of the XAv systems (320). The method includes validating and customizing (712) the avatar responses (336) by applying the user history (306) and the user preferences (308) to the avatar responses (336) to produce a user-customized response (332), and transmitting (714) the user-customized response (332) to the user as a response to the prompt (330).

The application relates to a centralized electronic and electrical architecture applied to an electric vehicle and the vehicle, wherein the electronic and electrical architecture comprises multiple domains, each domain having a domain controller and multiple sub-domain controllers connected to the domain controller in the domain; at least part of the functions of the domain controller are redundantly realized in the remaining capacity of the sub-domain controllers in the domain through fallback software or in the remaining capacity of the sub-domain controllers belonging to other domain controllers or other domain controllers across domains; each domain has a domain gateway, which is used for coordinately distributing the functions borne by the domain controller of the domain to the sub-domain controllers in the domain and / or other domain controllers across domains and / or the sub-domain controllers belonging to other domain controllers; and the key domain controller functions are redundantly realized in the other controllers in the sub-domain or the other controllers across domains, so that the situation that the domain controller is irreversibly faulty is solved.

Systems and methods for favicon comparison-based similar domain detection include receiving a base domain, the base domain being associated with an enterprise; receiving a domain list comprising a plurality of domains; performing a favicon comparison between the base domain and each of the plurality of domains within the domain list; and classifying each of the plurality of domains within the domain list as one of being associated with the enterprise or not being associated with the enterprise based on the favicon comparison.

The application discloses a kind of plankton detection method, system and electronic equipment, it is related to computer vision technical field.The present application can be based on the image data of different regions, different river reaches of the river to be detected by using river plankton detection model, accurately, quickly get the plankton detection result of each pixel.And, multiple domain self-adaptive feature extraction modules are arranged in the river plankton detection model of the application, the distinguishing ability of target and background difference in image data can be improved, multiple boundary alignment modules can enhance the target feature extraction capability, the accuracy of plankton detection can be significantly improved, and the economic and ecological cost of plankton management can be effectively reduced.

A method to manage domain-based security profiles in a content delivery network (CDN) is disclosed. The method includes receiving security events detected by one or more security solutions implemented by one or more CDN instances of the CDN, determining, for each of a plurality of domains, a risk score for the domain based on the security events, determining possible next level domains for a CDN instance of the CDN, determining an updated order of an auto-adjusting list maintained by the CDN instance based on risk scores for the domains included in the auto-adjusting list and the possible next level domains for the CDN instance, and sending an update to the CDN instance to cause the CDN instance to update the order of the auto-adjusting list to reflect the updated order, wherein the order of the auto-adjusting list indicates an eviction priority for the domains included in the auto-adjusting list.

The invention discloses a cluster fault management method and apparatus, an electronic device and a medium. The method comprises the steps of obtaining performance index data of a multi-field unit in a cluster; constructing a dynamic fault propagation model of the cluster through the performance index data based on the graph model; according to the dynamic fault propagation model, constructing four-dimensional fault visualization based on a time sequence; and cluster fault analysis is carried out through four-dimensional fault visualization. Therefore, on the basis of the time sequence, the performance index data of the different field units are constructed into the dynamic fault propagation model, cross-domain fault positioning, analysis, monitoring and deduction based on the time axis are realized, cross-domain fault space-time correlation splitting caused by independent fault monitoring of each field unit is avoided, and the fault positioning efficiency and accuracy are improved. In addition, based on the four-dimensional fault visualization expression of the time sequence, the multi-screen switching monitoring complexity of operation and maintenance personnel is reduced, and the cluster fault management efficiency is improved.

Apparatuses and methods for a CSI report configuration for CSI predictions in one or more domains. A method performed by a user equipment (UE) includes transmitting capability information indicating capability of the UE to support machine learning (ML) based channel state information (CSI) prediction in one or more domains, receiving configuration information that indicates parameters for ML based CSI prediction in the one or more domains; receiving CSI reference signals (RSs), and measuring the CSI-RSs. The method further includes determining, based on the configuration information and the measured CSI-RSs, a plurality of CSI predictions in the one or more domains; determining a CSI report including one or more of the plurality of CSI predictions and dependency information indicating dependencies between CSI predictions in the plurality of CSI predictions; and transmitting the CSI report.

The invention relates to a multi-vehicle automatic driving simulation system and method supporting DORA middleware, and belongs to the technical field of automatic driving. The system comprises a simulation platform and a domain controller group. The simulation platform comprises a multi-vehicle Dora-bridge, traffic scene simulation software and vehicle dynamics simulation software, the multi-vehicle Dora-bridge receives multi-vehicle state data, sensor data and vehicle cooperative control information generated by the traffic scene simulation software, and the multi-vehicle Dora-bridge publishes the multi-vehicle state data, the sensor data and the vehicle cooperative control information in the form of a DORA topic for each domain controller to subscribe; meanwhile, control instructions issued by the domain controllers in the form of DORA topics are received and issued to the vehicle dynamics simulation software. The domain controller group comprises a plurality of domain controllers, each domain controller corresponds to one automatic driving vehicle, and software of the domain controller group consists of a plurality of DORA function nodes to realize an automatic driving function. According to the invention, an effective solution is provided for simulation of the multi-vehicle automatic driving system based on the DORA middleware, the development efficiency is improved, and the development cost is reduced.

A process that includes receiving a session identity protection query that includes a target domain. The process further includes accessing a security database of compromised cookie data associated with a plurality of domains and determining the target domain is associated with first compromised cookie data of the compromised cookie data included in the security database. The process includes providing the first compromised cookie data in response the session identity protection query.

The invention belongs to the technical field of software engineering, and particularly relates to a field-oriented environment association type scene software development method and system. The software development process is divided into three stages of field customization, scene configuration and application development, and a corresponding development system is provided and comprises a meta-tool environment, a field development platform and a scene application development platform. In the field customization stage, the meta-tool environment is used, and configuration is customized for a specific field to obtain a field development platform; in the scene configuration stage, environment-related scene configuration is carried out on the field development platform, intermediate representation of physical equipment is established, configuration access of various Internet of Things platforms is achieved through description, and the field development platform is configured as a scene application development platform; and in the application development stage, development of software in multiple fields is realized by multiplexing the environment-related scene. According to the method, the environment elements in the scene can be quickly configured, and the efficiency of developing and deploying customized scene software is improved.

Disclosed in the present application are a vehicle communication method and system, a vehicle and a computer-readable storage medium. The vehicle communication method comprises: creating a unified service layer interface, the service layer interface being used for communications within each domain controller in a service domain, communications between a plurality of domain controllers in the service domain, and communications between each domain controller in the service domain and a signal domain; by means of the service layer interface, receiving a service request sent by an initiation application in a request domain controller; if the service request is an intra-service-domain request, creating intra-domain communications between the initiation application and a first receiving application in the request domain controller; if the service request is an inter-service-domain request, creating inter-domain communications between the initiation application and a second receiving application in a receiving domain controller corresponding to the request domain controller; and, if the service request is a cross-domain request, creating cross-domain communications between the initiation application and the signal domain. The present application improves communication efficiency and stability.

The present disclosure provides a resource indication method and apparatus, a terminal, a network side device, and a storage medium. The method includes receiving downlink control information (DCI), the DCI comprising a plurality of SRI domains; determining a bit width of a first SRI domain among the plurality of SRI domains according to the number of resources comprised in at least one SRS resource set among a plurality of SRS resource sets; and determining, according to the bit width of the first SRI domain, an SRS resource corresponding to uplink transmission. According to the resource indication method and apparatus, the terminal, the network side device, and the storage medium provided by the present disclosure, the bit width of the first SRI domain in the DCI is determined by means of the number of resources comprised in the at least one SRS resource set among the plurality of SRS resource sets, such that the bit width of the first SRI domain is reasonably set, the problem that the DCI cannot indicate any SRI combination when indicating PUSCH single TRP transmission is solved, and the transmission performance of a PUSCH is ensured.

The invention discloses a full-slewing drilling machine jamming detection method and device combined with intelligent sensors, and relates to the technical field of full-slewing drilling machines, and the method comprises the steps: collecting multiple types of original time sequence data in a drilling process in real time through multiple types of intelligent sensors deployed on a full-slewing drilling machine; the multiple types of original time series data are preprocessed, model input features are constructed and input into a pre-trained drilling tool jamming detection model, the drilling tool jamming detection model adopts a fusion framework and comprises multiple feature extractors, multiple drilling tool jamming classifiers and multiple domain classifiers, and the multiple domain classifiers are used for training the multiple feature extractors and the multiple drilling tool jamming classifiers; and on the basis of output fusion of the plurality of drilling tool sticking classifiers, generating a drilling tool sticking early warning signal, and executing corresponding control operation. The technical problem that in the prior art, the drilling tool jamming detection precision is not stable under different geological conditions is solved, and the technical effects that the drilling tool jamming phenomenon is accurately monitored in real time, and the safety and efficiency of drilling machine operation are improved are achieved.

A wireless transmit / receive unit, WTRU, connects to a first AP, receives domain identifiers, requests corresponding descriptors and receives a list of descriptors. An application on the WTRU requests a list of domains and attributes corresponding to service names or service sets, which is returned by the WTRU. The application selects one or more domains for communications, the WTRU selects corresponding network resources and the application connects to local services. After moving to a new location, the WTRU connects to a second AP and receives a second set of domain identifiers, selects the one matching the request from the application and provides these to the application that, with the aid of the WTRU connects to local services.

A method of cross-domain policy orchestration may include executing, with a cross-domain automation (CDA) controller, a macro-segmentation of a plurality of domains based at least in part on metadata defining a mapping to a corresponding plurality of domain controllers, and executing, with the CDA controller, a micro-segmentation of policies within a group based at least in part on a merged policy matrix obtained from policies of the domain controllers.

A method, apparatus and product including a browser configured to render pages, wherein the browser comprises a client-side execution engine, wherein the browser is configured to execute an extension for the browser, wherein the extension is a computer program product that has a memory storage that is external to the client-side execution engine of the browser; and a set of pages that is defined over multiple domains, wherein the set of pages comprises respective instances of an additive software layer that is configured to execute a walkthrough over the multiple domains, wherein a page of the set of one or more pages comprises an instance of the respective instances and a communication element that is configured to enable the instance of the additive software layer to communicate data to and from the extension.

Examples include techniques associated for use of in-memory compute circuitry in shared memory. Examples include the shared memory being included on or at an externally attached shared memory device. The shared memory at the externally attached shared memory device can be shared between multiple domains hosted by one or more host computing platforms. Examples include establishment of multiple isolations for in-memory compute requests for in-memory compute operations to the shared memory by one or more domains that can access the shared memory.

A system is disclosed. The system can include a network monitoring device connected to a communications network. The network monitoring device to store a probabilistic data structure indicating one or more domain names; receive a response data packet from the DNS server, the response data packet comprising a first domain name transmitted in a query to the DNS server and an affirmative response code; update the probabilistic data structure with the first domain name identified from the response data packet; responsive to detecting an attack on the network, retrieve a query message, the query message containing a second domain name; query the updated probabilistic data structure with the second domain name; and restrict transmission of the query message or communication by the computing device with the DNS server.

The present teaching relates to attribute extraction from textual content. A domain-invariant attribute extraction model is trained for extracting predetermined attributes from textual content from multiple domains based on training data having a plurality of training samples, each with textual content, some of the predetermined attributes in the textual content, and a label indicating one of the multiple domains that produces the textual content. The domain-invariant attribute extraction model learns via training the semantics of the predetermined attributes across the multiple domains so that when a new textual content from any of the multiple domains, some predetermined attributes are extracted according to semantics thereof via the domain-invariant attribute extraction model.

A content provider has a plurality of content provider domain names, and a content delivery network (CDN) allocates a plurality of CDN domain names to the particular content provider. The content provider domain names are mapped to the CDN domain names. CDN domain names are bound to corresponding CDN clusters. The binding of the CDN domain names to corresponding CDN clusters is modified.

Apparatuses, systems, and methods can include a processing resource and a memory device storing instructions executable by the processing resource. The instructions can include hosting a plurality of domains and registering a plurality of components and / or microservices from the plurality of domains. In addition, the instructions can include locating a plurality of components and / or microservices from the plurality of domains, access one or more components and / or microservices from one or more domains, combining the one or more components and / or microservices on a page to create a personalized page, and deploy the personalized page. In some examples, a user deploys and operates the personalized page.

The invention discloses a cross-domain resource scheduling system based on computing futures and intention analysis, and relates to the technical field of artificial intelligence-distributed computing resource-scheduling management, and the system comprises an intention analysis engine, a computing futures transaction platform, a dynamic scheduler, a cross-domain execution agent and a resource monitor. According to the system, a knowledge graph is utilized, a structured computing power demand vector is output according to an input formatting demand table and used for creating a standardized contract, automatic settlement based on an intelligent contract is executed, an optimal resource allocation matrix is generated according to an input future contract and a real-time resource state, and a task is disassembled into a plurality of domains. According to the method, intellectualization of intent analysis and finance of computing power futures are fused, the problems of resource mismatching, demand fuzziness and price fluctuation in cross-domain scheduling are solved, and key technical support is provided for an integrated computing power network.