157 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.

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.

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.

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 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 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.

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 special equipment operator electroencephalogram fatigue detection method based on sample compensation and a hybrid model, and the method comprises the steps: collecting an electroencephalogram signal of a special equipment operator, and carrying out the preprocessing of the electroencephalogram signal, and obtaining a preprocessed electroencephalogram signal; performing multi-domain feature extraction and fusion on the preprocessed electroencephalogram signals to obtain a multi-dimensional feature set; performing compensation processing on the electroencephalogram signal and the multi-dimensional feature set by adopting a sample compensation method to obtain a compensated sample feature set; wherein the sample compensation method comprises a characteristic level compensation method and a signal level compensation method; training a hybrid model through the compensated sample feature set to obtain a trained hybrid model; wherein the hybrid model comprises a deep learning model and a traditional machine learning model; and performing electroencephalogram fatigue detection on the special equipment operator through the trained hybrid model to obtain a detection result.

A method includes receiving distillation data including a plurality of out-of-domain training utterances. For each particular out-of-domain training utterance of the distillation data, the method includes generating a corresponding augmented out-of-domain training utterance, and generating, using a teacher ASR model trained on training data corresponding to a target domain, a pseudo-label corresponding to the corresponding augmented out-of-domain training utterance. The method also includes distilling a student ASR model from the teacher ASR model by training the student ASR model using the corresponding augmented out-of-domain training utterances paired with the corresponding pseudo-labels generated by the teacher ASR model.

Methods, systems, and computer storage media for providing a cross-domain secure authentication engine in an item listing system are described. The cross-domain secure authentication engine is an advanced, modular system designed to handle user authentication seamlessly across different service domains, while ensuring security features and an adaptive user experience. In an item listing system, the cross-domain secure authentication engine operates based on a security-focused framework that streamlines user authentication across multiple domains without sacrificing user experience. It integrates a modal containing an iframe-based sign-in interface associated with a separate authentication domain and employs a postMessage API for cross-origin communication. Key features include dynamic modal resizing—adjusting the sign-in window to different authentication steps (like email, password, or OTP)—and parameterized iframes that remove unnecessary UI elements for a cleaner user experience. The cross-domain secure authentication engine also supports security measures and supports incremental, multi-step authentication flows to reduce user friction.

Techniques for providing domain name suggestions to a user that is a prospective registrant via chatbot are disclosed. The techniques include providing a publicly available online chatbot to the user; requesting domain name generation data from the user via the chatbot and during a chatbot session with the user; receiving domain name generation data based on the requesting; generating a plurality of generated domain names using the domain name generation data; filtering registered domain names out of the plurality of generated domain names to produce a plurality of unregistered generated domain names; offering to register at least one of the unregistered generated domain names to the user; receiving an offer acceptance from the user; directing the user, via the chatbot, to provide information sufficient to register the at least one of the unregistered generated domain names; and facilitating registration of the at least one of the unregistered generated domain names.

This invention discloses a cross-domain data risk control system for privacy computing, relating to the field of privacy computing technology. The system includes: acquiring privacy-sensitive data from heterogeneous data sources across multiple domains and synchronous cross-domain data interaction logs; de-identifying and encrypting the privacy-sensitive data based on a privacy computing protocol to construct a cross-domain privacy computing interaction topology; inputting the cross-domain privacy computing interaction topology and the synchronous cross-domain data interaction logs into a preset spatiotemporal risk control mapping network to obtain a cross-domain data risk assessment value; and generating risk control optimization suggestions based on the cross-domain data risk assessment value, including adjustment schemes for privacy computing parameters in each domain. This invention combines privacy computing de-identification processing with cross-domain interaction topology construction, extracting spatiotemporal coupling features of cross-domain data through a spatiotemporal risk control mapping network, thereby achieving synergy between cross-domain data privacy protection and precise risk control.

A security application determines that a user authorized recall of one or more email messages. The security application determines that one or more domains associated with one or more recipients of the one or more emails are enrolled with a security server. The security application receives a user request from the user to recall the one or more email messages that were delivered to the one or more recipients. The security application provides a command to an email server of the one or more domains to move the one or more email messages to a hidden directory that is inaccessible to the one or more recipients. The security application determines a respective status for the one or more email messages based on a response or a nonresponse from the email server. The security application provides a summary report to the user.

According to the multi-task processing model learning method and the multi-task processing execution method using a machine learning model learned based on the method provided by the embodiment of the present invention, multi-tasks for performing output based on a plurality of domains can be processed, and the multi-task model learning method and the multi-task processing execution method using the machine learning model learned based on the method can be provided. According to the multi-task processing model learning method, knowledge data scattered in a potential space according to each task are mutually migrated and learned through geometric alignment in the comprehensive potential space, and the multi-task processing execution method of a machine learning model learned based on the method is utilized.

Systems and methods are provided for coupling data structures in different domains to provide cross-domain data access. One example computer-implemented method includes receiving, from a requestor, an access request including a case type and indicators for multiple domains and determining restrictions associated with the domains. The method also includes compiling a first message key specific to the access request and transmitting the first message key to the requestor. The method further includes receiving an information request including a second message key and a query specific to a person, verifying the second message key based on the first message key, and coupling multiple knowledge graphs for multiple data structures across the domains. The method then includes, in response to verifying the second message key, submitting the query from the information request to the data structures of the coupled knowledge graphs and providing a response to the query to the requestor.

Aspects of the subject disclosure may include, for example, in response to a Border Gateway Protocol (BGP) update from an egress provider edge router connected to a destination customer network, receiving a request for an end-to-end SR policy or an end-to-end path from an ingress provider edge router, where the BGP update includes a prefix of the destination customer network and a first color; using color mapping data, determining a first domain associated with the first color and determining a second color to be associated with a second domain and mapped to the first color, where a color is a numerical value associated with a network intent of a domain, the color mapping data define mappings between different colors associated with different domains, and the mapped first color and second color enable identification of a first intent and a second intent that belong to the first domain and the second domain, respectively; and generating the end-to-end path reflecting each definition of the first and the second intents identified by the first color in the first domain and the second color in the second domain. Other embodiments are disclosed.

Presented herein are system and methods for integrating application programming interfaces (APIs) for use in network environments. A service of an API management platform may receive, from an administrator device, a request to deploy an API for use in a network environment among one or more applications. The request may include a specification defining the API according to a template for a domain of a plurality of domains. The service may identify, from a plurality of policies corresponding to the plurality of domains, a policy based on the domain for the template with which the specification of the request is defined. The service may determine that the API is validated in accordance with the policy for the domain. The service may generate an indication of approval of the API for use in the network environment among the one or more applications, responsive to determining that the API is validated.

The application discloses a radar space-time-frequency-energy multi-domain joint intelligent active anti-jamming method, first establishes a confrontation scene under the radar and multi-jammer environment, then sorts out the model parameters and working modes of the radar and the jammer, determines the evaluation index to complete the evaluation of the radar scheduling strategy, and then converts the problem into a Markov decision process, and uses Q learning to solve the optimal strategy of radar multi-domain resource scheduling. The optimization strategy obtained by the method has strong adaptability and good model scalability, and can be adjusted according to the actual need of the scheduled parameter resource. Through the collaborative control of the transmission parameters between the multiple domains of the radar, compared with the existing single-domain resource scheduling anti-jamming method, the radar active anti-jamming capability can be significantly enhanced while improving the task performance, and the potential task performance of the radar is excavated. Meanwhile, Q learning is used to optimize the radar node multi-domain joint active anti-jamming strategy, and the survival ability of the radar in the electronic countermeasure environment is improved.

Embodiments of the present disclosure provide a configuration file chaining system and method that configures the applications and services in an IHS (e.g., computing device) using parameters that have different namespace scopes or organizational origins. According to one embodiment, a configuration file chaining system includes computer-executable instructions to sequentially receive a plurality of data structures, and for each data structure, when the configuration data comprises a parameter for the application and when the parameter does not exist in a template associated with the application, store the parameter in the template, and using the template, custom configure the application on a target computing device. The data structures store configuration data associated with a plurality of domains that each have a different level of priority relative to one another. Additionally, the configuration data comprises one or more parameters for an application.

One embodiment of the present invention proposes a technique for determining a potential space between two or more domains. The technique includes executing a first generator neural network to convert a first set of training data associated with a first domain to a first set of training outputs based on a first set of potential values associated with the first domain. The technique further includes executing a second generator neural network to convert the first set of training outputs to a second set of training outputs based on a second set of potential values associated with a second domain. The technique further includes training a first generator neural network based on a first set of losses calculated between the first set of potential values and the second set of potential values.

The invention relates to the technical field of cross-domain access, and provides a cross-domain access control method and system. The method comprises the following steps: acquiring a verifiable certificate of the identity of a user from an identity issuing party, and storing the verifiable certificate locally; sending a resource access control request to an identity verification party, and receiving a demand identity attribute sent by the identity verification party; selecting a demand identity attribute from a plurality of identity attributes of the verifiable credentials as an intention disclosure identity attribute, and generating a verifiable expression based on the identity attribute; based on an identity verification result of the identity verification party on the verifiable expression, performing access control on resources of the identity verification party; the identity holder and the identity verifier are in different domains. According to the cross-domain access control method and the cross-domain access control device, as the identity verification can be operated among multiple domains, the cross-domain identity verification process is simplified and the security risk can be effectively avoided, and the user identity information can be effectively prevented from being excessively exposed by the identity verification mode, so that the cross-domain access control can be safely and credibly carried out.

The application discloses a cross-domain QoS routing method and device, a general controller and a storage medium. The method comprises the following steps: after receiving a service request sent by a domain controller, a plurality of candidate paths are determined based on a global virtual topology, the global virtual topology being generated based on an abstract result of abstracting an original domain topology by each domain controller; an index decomposition is performed based on the plurality of candidate paths to obtain a decomposition result, and the decomposition result is issued to a plurality of corresponding domain controllers as a decomposition requirement, so that the plurality of domain controllers determine corresponding target intra-domain paths based on the decomposition requirement; and target QoS routing is determined according to the target intra-domain paths. The method can realize efficient end-to-end QoS performance guarantee while using a small amount of intra-domain information by performing index decomposition on the plurality of candidate paths and performing intra-domain path planning according to the decomposition requirement by each domain controller.

The invention discloses a domain name system resolution record processing method and device and electronic equipment. Relates to the technical field of data processing, and the method comprises the following steps: carrying out data fragmentation on a plurality of domain name system resolution records according to sub-domain name dimensions through a resolution record distribution system to obtain a plurality of fragmented domain name system resolution records, the fragmented domain name system analysis record is used for recording a mapping relation between domain name information and an IP address in a domain name system; and distributing the plurality of fragment domain name system analysis records to an analysis node of the domain name system through the analysis record distribution system. According to the method and the device, the technical problem that the issuing efficiency of the DNS resolution record is relatively low due to the fact that the DNS resolution record is issued in a mode of performing data fragmentation according to the zone dimension in the related technology is solved.

A nonlinear physical computing architecture comprising a continuous nonlinear domain in which excitation produces persistent reshaping of at least one spatially continuous parameter field. Said reshaping alters non-local coupling coefficients of governing nonlinear equations and modifies attractor basin topology. Subsequent excitation follows a measurably reduced state-space trajectory length relative to baseline measured following reset. Persistence magnitude may be continuously modulated, and multiple domains may be orchestrated in staggered reset configurations. The architecture excludes discrete memory cells and programmable weight matrices.