2791 results about "End user" patented technology

Methods and apparatuses for improving the speed, quality, and relevance of automated responses provided by a question answering system for security data are described. The question answering system may generate and utilize a large language model that is trained to combine the language of security data, such as the language found in security logs and alerts, with natural language text. Given an input prompt (or a search query) from an end user of the question answering system, the question answering system may identify relevant content from the security data and display a response based on the relevant content. The question answering system may allow the end user of the question answering system to query security logs using natural language text without requiring the end user to provide a structured query and without requiring the security data be parsed and ingested into a database system.

The invention relates to the technical field of login management, in particular to an account-free user unification method and system of a construction and management system based on multimode authentication, and the method comprises the following steps: collecting historical login time, login frequency, login place and equipment type data of a user based on multi-terminal user activity data, and obtaining a historical behavior record of the user; according to the method, the behavior deviation can be identified by comparing and analyzing the current and historical behaviors of the user, then the risk score is calculated, the authentication factor is dynamically adjusted according to the risk score, the flexibility and adaptability of security verification are improved, and the security verification efficiency is improved by binding the real person information of the user to the dynamically adjusted token and adjusting the validity period of the token. The security and effectiveness of token management are effectively improved, close token checking and authority analysis can be performed when a user accesses a downstream system, and the accuracy and security of authorized access are ensured.

The invention provides a cloud collaborative three-dimensional building modeling rendering method and system based on WebGL (Web Graphics Library). The method comprises the following steps: acquiring design parameters of a target building, analyzing the design parameters into geometric topological data of a plurality of independent components on the basis of a functional attribute division rule, and generating a multi-stage detail geometric model; adding material physical attributes to the surface vertex data, calculating a diffuse reflection coefficient and specular reflection intensity through a ray tracing algorithm, and generating lightweight component data carrying physical rendering parameters; in response to a view angle switching instruction of a terminal user, according to a space block corresponding to a current view angle, a main GPU node is distributed from a distributed GPU cluster, the main GPU node is divided according to the space block, adjacent blocks of the space block are distributed to edge GPU nodes, parallel ray tracing calculation is executed based on a WebGL protocol, and the parallel ray tracing calculation is executed based on the WebGL protocol. And returning to the main GPU node synthesis terminal display image and displaying. According to the technical scheme provided by the invention, the response speed is remarkably improved while the physical-level rendering effect is kept.

Presented herein are systems and methods for the employment of machine learning models for image processing as may be performed by computing devices associated with an end user. A method may include obtaining video data comprising a plurality of frames including a document of a document type. The method may include executing an object recognition engine of a machine-learning architecture using image data of the plurality of frames, the object recognition engine trained to detect edges of documents. The method may include identifying, based on the edge detection, a plurality of boundaries for the document. The method may include validating, based on the plurality of boundaries, the document as the document type. The method may include transmitting via one or more networks, to a computer remote from the computing device, responsive to the validation of the type of document, the image data for the plurality of frames depicting the document.

A method, performed by a user equipment (UE), of managing secondary platform bundles (SPBs), includes receiving an end user selection for managing a state of at least one SPB among SPBs installed in a smart secure platform (SSP) module; checking bundle management information required to manage the state of the at least one SPB based on the end user selection; determining whether end user intent confirmation is required to manage the state of the at least one SPB according to the end user selection based on the bundle management information; and managing the state of the at least one SPB based on a result of the determining.

Disclosed are systems and methods that ingest substantial volumes of data from a variety of sources associated with a computing system network to create integrated, intuitive, efficient, and coherent adaptive workspace display interfaces. The ingestion includes event data generated by event source software applications running on end user computing devices as well as call and end user attribute data that is used to determine state, presence, and performance data for the end user computing devices that is formatted for display on the adaptive workspace interfaces and used during performance monitoring and collaboration between system end users. The adaptive workspace interfaces provide functions that facilitate real time collaboration between end users that enhances shared experiences between system end users and customers.

Serverless containerization of a collaboration application improves deployment and security of the collaboration application. A system may generate a container within a private cloud. The container may execute the collaboration application. The container is assigned an Internet Protocol (IP) address and is associated with a security group that controls network traffic to and from the container. The system may include a network load balancer configured with the IP address assigned to the container that allocates computational resources for executing the collaboration application. The system may include serverless resources such as a database and filesystem that is accessible to the container within the private cloud. The system may include a private cloud (PC) endpoint configured to establish a private connection with an end user interface, wherein the private connection provides secure network traffic between the PC endpoint the end user interface within a private network of the PC endpoint.

Methods, systems, and apparatus are disclosed for an Artificial Intelligence based cyber security system. An Artificial Intelligence based cyber analyst can make use of a data structure containing multiple tags to assist in creating a consistent, expanding modeling of an ongoing cyber incident. The Artificial Intelligence based cyber analyst can make use of a cyber incident graph database when rendering that incident to an end user. The Artificial Intelligence based cyber analyst can also be used as a mechanism to evaluate the quality of the alerts coming from 3rd parties' security tools both when the system being protected by the cyber security appliance is not actually under attack by a cyber threat as well as during an attack by a cyber threat.

The invention relates to the field of medical examination data, and discloses a medical examination data sharing method based on cloud authentication, and the method comprises the following steps: carrying out the dynamic desensitization of original medical examination data at an edge node, and generating desensitization data meeting the privacy-utility balance; verifying the identity and authority of a request end user through a zero-knowledge proof protocol, and generating an authentication result bound with the privacy policy; performing hierarchical encryption on the desensitized data based on an anti-quantum attribute-based encryption algorithm to generate a ciphertext dynamically associated with the access attribute; and dynamically decrypting the data according to the real-time context parameters, and performing secondary desensitization processing in combination with an access scene. The technical scheme is optimized by adopting the dynamic desensitization and rate distortion theory, the technical effect of privacy-utility dynamic balance is achieved, and compared with the problems of fixed static desensitization rule and over-protection or under-protection in the prior art, the core defect that the method cannot adapt to the multi-scene data sharing requirement is overcome.

A security awareness training system can include a recognition module, a mapping module, a customized training module, and an authentication module. The recognition module can detect when behavioral activity by an end user on an endpoint device creates one or more of i) a model breach indicative of a potential cyber threat and ii) a violation of a network policy, an email policy, or a cloud policy. The authentication module can cooperate with the recognition module to provide just-in-time cyber security awareness training on a display screen of the endpoint device associated with that specific end user, at a time when the behavioral activity by the end user on the endpoint device creates the one or more of i) the model breach indicative of the potential cyber threat and ii) the violation of the network policy, the email policy, or the cloud policy. The authentication module can cooperate with a mapping module and a customized training module to provide the just-in-time cyber security awareness training on the endpoint device associated with that specific end user at the time when the behavioral activity by the end user on the endpoint device triggers a need for the cyber security awareness training, which causes more relevant and better learning for the end user. The mapping module can correlate the just-in-time cyber security awareness training to the behavioral activity by the end user on the endpoint device that created the model breach and / or the violation.

Systems and techniques for are described herein. Natural language workflow descriptions are received from expert users, the descriptions are processed using language models to identify action sequences, and directed acyclic graphs (DAGs) are generated that represent workflows by mapping actions to automated agents. These DAGs are stored as composite action recipes in a vector database. End users can then submit natural language queries, which the system matches to stored recipes. Selected recipes are executed in a sandboxed environment, with the system sequentially invoking automated agents according to the DAG structure. The systems and techniques described herein provide real-time feedback during execution and support features such as graphical workflow validation, dynamic parameter collection, role-based access control, and dry run simulations. This approach enables efficient creation and reuse of complex workflows based on natural language inputs.

The embodiment of the invention provides an intelligent dynamic load regulation and control method and system for an intelligent power grid. Wherein power parameters of key nodes are collected in real time through time sequence analysis and a deep learning algorithm, future power demand fluctuation is predicted, and a power grid topological structure model is constructed to identify the key nodes and a potential influence range; a genetic algorithm, particle swarm optimization and other multi-objective optimization algorithms are adopted to generate specific operation instructions for different power utilization areas or devices, and optimization objectives comprise minimization of energy cost, maximization of renewable energy utilization rate and guarantee of power supply stability; converting the strategies into guidance suggestions, pushing the guidance suggestions to a terminal user, collecting feedback information, generating a preference model by applying a reinforcement learning algorithm, and selecting an optimal strategy for implementation based on user acceptance and feasibility evaluation; risks and abnormal conditions are detected through the Bayesian network, and the strategy is adjusted in time. According to the technical scheme provided by the embodiment of the invention, the efficient distribution of power resources and the energy utilization efficiency in the smart power grid are improved.

The invention discloses a hierarchical optimization scheduling method for deep peak regulation of thermal power generating units, and the method comprises the following steps: system layering: dividing a power system into a plurality of subsystems, each subsystem comprising a thermal power generating unit cluster and differentiated load demands; subsystem-level prediction: generating a basic scheduling plan; dynamic preference-driven multi-target collaborative optimization: receiving multi-target data from each subsystem, carrying out multi-target collaborative optimization, modeling three targets of a power grid company, an environmental protection department and a terminal user as game participants, quantifying the priority of each party by adopting a fuzzy membership function, generating a dynamic game solution through a Nash equilibrium solver, and carrying out multi-target collaborative optimization; screening out a Pareto optimal solution giving consideration to interests of multiple parties; performing online verification on the dynamic security domain; virtual synchronous machine cooperative support: simulating operation characteristics of a synchronous generator; and global coordination and iterative optimization: uploading the optimal scheduling scheme of each subsystem to a scheduling center through a message queue telemetry transmission protocol, and performing global constraint verification.

A method, product and apparatus implemented at an end device of an administrator user, comprising: selecting a field in a page of a third-party application; defining a trigger event for identifying that an end user entered input to the field; defining an automation process to be executed in response to the trigger event, said defining comprises defining a validation rule using free text in natural language, the automation process is configured to generate a prompt to a Generative Artificial Intelligence (AI) engine, the prompt comprising the validation rule and instructions to determine whether the input complies with the validation rule; and defining a configuration for presenting an output from the Generative AI engine over the page.

A solid-state circuit breaker comprises an air gap, at least one counter and / or a timer, a memory, a radio and a microprocessor to: retrieve saved health data, alert data and counter, timer data from the memory, determine a status of a heath rating by data and comparing the heath rating to a threshold, if it is poor, send a message via a smart phone application (APP) and start a counter or timer, determine if the counter is at a predefined value and / or the timer is expired, if the counter is at a predefined value and / or the timer is expired, turn OFF the breaker and inhibit from being turned on, send a breaker OFF / disabled alert message using the radio to an end user / a customer via the APP, and if the counter is not at a predefined value and / or the timer is not expired, increment / decrement the counter and / or the timer.

Embodiments include methods, electronic device, storage medium, and computer program to implement a dedicated queue based on a user request. In one embodiment, a method comprises: receiving a first message to optimize one or more data flows based on a quality-of-service request for an end user; enabling a first queue dedicated to the one or more data flows sourced for the end user in the network node based on the first message; and upon a determination of congestion in the network, marking packets in the one or more data flows stored in the first queue as candidates to drop based on a queue size of the first queue, wherein the marking is to set explicit congestion notification bits of the packets.

Disclosed herein is an audio system that can be customized by the user (including the developer) and that may allow the user to control more than just the sound levels and may allow the user to select more than one of a few pre-determined settings. Disclosed herein is a development platform that allows manufacturers (including the developers) to test various different parameters, settings, algorithms, functions, processes, accessories, and the like. The development platform allows the manufacturer to simulate the performances from possible options for the audio system, and then load the selected option from the development platform to the audio system. Additionally, the development platform that enables the end user to have the same level of control and ability to access, upload, and control plugins on the end user's device(s).

Systems and methods for management of generative AI. An example method includes intercepting, via a gateway implemented by the system, a client request associated with a tool invocation via a model context protocol (MCP) server, wherein the gateway operates as a proxy server between a plurality of MCP servers and a plurality of agents or consoles utilized by end-users; accessing policy information associated with MCP, the policy information reflecting, at least, an allowlist and a denylist associated with MCP servers and / or tools; implementing the policy information, wherein implementing includes: adjusting the client request to replace an MCP server included in the client request with a different MCP server, or adjusting the client request to update a schema associated with a tool identified in the client request; and forwarding the client request for receipt by an approved MCP server.

The invention discloses a digital archive intelligent retrieval method and system for a storage device, and relates to the technical field of information, and the method comprises the following steps: inputting information by a terminal user, preprocessing to obtain an associated retrieval string, and performing multi-dimensional retrieval in a digital archive by using the associated retrieval string to obtain a plurality of associated information sets; historical retrieval records of a terminal user are obtained, the browsing tendency of the terminal user is analyzed, and a retrieval associated information set is obtained by screening multiple associated information sets and fed back to the terminal user. The technical problem that personalized and targeted retrieval results cannot be accurately and efficiently provided for users in the face of massive digital archives in the existing retrieval technology is solved, the users can quickly and effectively obtain valuable personalized information by accurately matching user requirements with the retrieval results, the functions of the digital archives are fully played, and the user experience is improved. The technical effect of improving the efficiency and satisfaction degree of obtaining the digital archive information by the user is achieved.

Systems and method for automatically generating front-end code for a user interface (UI) design created in a graphical UI editor by receiving a design file key and an access token associated with the design file; using the design file key and access token to retrieve one or more outermost frames within a project; obtaining thumbnails of the one or more frames; enabling user selection of the one or more frames for import and retrieving the selected frames along with their components; retrieving image files used within the one or more frames; mapping the design elements to code templates for one or more front-end frameworks; generating front-end code based on the mapped design elements and code templates; and outputting the generated front-end code in a format suitable for use in a web or mobile application.

Systems and methods for providing identity services are provided. A method, according to one implementation, includes a step of assuming unified and centralized responsibility for performing identity-related services for a plurality of network security products. In response to an end user device attempting to initiate a session with a selected network security product of the plurality of network security products, the method may perform the identity-related services to manage or authenticate an identity of the end user device or a user of the end user device. Then, the method includes a step of enabling the end user device to establish the session with or receive a service from the selected network security product after performing the identity-related services.

A device for real-time performance monitoring and optimization in software systems, comprising: a data acquisition module configured to acquire performance measurements from various software core components in real time, wherein the data acquisition module also includes a variety of sensors connected to the software system to acquire measurement data including CPU utilization, memory consumption, I / O operations and network latency; a data processing unit that is operationally connected to the data acquisition module, wherein the data processing unit is configured to receive and preprocess the acquired measurement data, apply filtering mechanisms to remove irrelevant or redundant data, and normalize the data for further analysis; a power analysis unit configured to analyze the processed measurement data in real time, wherein the power analysis unit includes a predictive model to identify potential power bottlenecks and a rule-based logic system that compares current power measurements with predefined thresholds to detect anomalies; an optimization module that dynamically adjusts software system configurations based on the output of the performance analysis unit, wherein the optimization module includes a feedback mechanism that fine-tunes software system parameters by employing automated tuning actions, such as adjusting resource allocation and load balancing; a user interface module that is operationally connected to the optimization module and the data acquisition module, wherein the user interface module is configured to display real-time performance metrics and optimization results to an end user via a graphical interface, including visual representations of the current system status and historical performance trends; a data storage unit configured to log performance metrics, optimization measures, and analysis results for long-term trend analysis, the data storage unit also including a hierarchical storage management system that stores data at different levels of detail depending on the age and relevance of the data.

A system (100) and method for generating user-persona based geo-spatial insights and recommendations for assets is disclosed The system (100) receives a request for determining desired assets for an end user from a user device 102 and generates a user-specific persona code for the end user based on the predicted human emotion parameters. Further, the system (100) generates a spatial-temporal chromatic identifier for the end user based on at least one of the determined geo-spatial data and the spatial-temporal data. Further, the system (100) correlates the user-specific persona code with the generated spatial-temporal chromatic identifier using an artificial intelligence-based data orchestration model and predicts the desired assets and predicts dynamic pricing values for each of the predicted desired assets using an artificial-intelligence based pricing model. Furthermore, the system (100) outputs the desired assets and the predicted dynamic pricing values for each of the determined desired assets on a user interface.

Presented herein are systems and methods for the employment of machine learning models for image processing as may be performed by computing devices associated with an end user. A method may include obtaining video data comprising a plurality of frames including a document of a document type. The method may include executing an object recognition engine of a machine-learning architecture using image data of the plurality of frames, the object recognition engine trained to detect edges of documents. The method may include identifying, based on the edge detection, a plurality of boundaries for the document. The method may include validating, based on the plurality of boundaries, the document as the document type. The method may include transmitting via one or more networks, to a computer remote from the computing device, responsive to the validation of the type of document, the image data for the plurality of frames depicting the document.

Apparatuses, systems, and methods for generative Artificial Intelligence (AI) assisted test process development based on an initial input of a specification of a device under test (DUT). The specification of the DUT may be inputted into the Generative AI model. The Generative AI model may summarize the specification, request further input via an interaction with an end user to finalize a description of the DUT, and generate / create test assets, such as code, documentation, tables, diagrams, and so forth. The Generative AI model may collaborate with the end user to refine outputs from the test assets. The refined test assets may be sent to software applications that can use / run / deploy various test assets. Additionally, the generative AI may access local test hardware and enumerate test hardware on other systems via network / serial communications to create a test system that fits the identified hardware.

A zero trust application enables access to a protected resource from a client device associated with a user. The client device has a browser, and an agent running locally and accessible via a local loopback interface. During an authentication flow, a browser-based script executes in the browser to deliver a challenge to the agent, and to collect a response to that challenge from the agent using a graphics file-based encoding scheme, and to deliver that information to the application for verifying the client device and its security posture. Depending on that security posture, the authentication flow may be permitted to complete. If a failure of the security posture is identified, the user may be permitted during the on-going authentication flow to address that failure and request a re-check of the posture.

The invention discloses a data analysis question and answer platform based on a large model and a knowledge vector library, and relates to the field of intelligent question and answer. Firstly, question and answer content of a user is obtained, the question and answer content is analyzed through a large model, and a data analysis type question is screened out; then identifying keywords in the data analysis type question; keyword classification is carried out through cooperation of a large model and a knowledge vector library, and keywords are classified into indexes, dimensions and statistical periods; the indexes, the dimensions and the statistical periods are converted into corresponding SQL fragments, and the SQL fragments are spliced to generate an SQL query statement; executing the SQL query statement to query the database, and returning a query result; and the query result is converted into structured data, and the structured data is displayed through a front-end user interface, so that natural language data analysis and question answering with low cost, high efficiency, high safety, high accuracy and high flexibility can be realized.

The invention discloses an observable analysis method and system based on intelligent analysis, and the method comprises the following steps: a collector module collects operation and maintenance data, and sends the operation and maintenance data to an observable module, the operation and maintenance data comprising a client log, a server log, cluster performance data, server performance data, database performance data and gateway performance data; the observable module performs data analysis according to the operation and maintenance data, wherein the data analysis comprises root cause positioning, performance optimization, capacity planning and prediction, operation and maintenance release process monitoring, micro-service governance and user experience optimization; and the observable module sends a data analysis result to the output module. According to the observable analysis method provided by the invention, full-link monitoring from the terminal user to the back-end server is ensured, a global system view is formed, a fault root cause can be quickly positioned, and the manual troubleshooting time is shortened.

A virtual reality (VR) system comprising a head-mounted display (HMD) and handheld controller set is enhanced to provide a more realistic end user VR experience. According to this disclosure, a trainer, which may be AI-generated, is embedded in the VR environment for use in workouts. This creates the illusion that the trainer is with the user in the virtual room. As the training video is rendered, a set of virtual reality (VR) events that have been synchronized to movements of the trainer in the training video are output to the user so that the trainer actively participates in the workout with the user. During the session, and based on the user's performance, additional AI-generated content is provided to the user as feedback.

The invention belongs to the technical field of mobile communication, and particularly relates to a multi-agent joint edge caching method based on a federated learning architecture, which is suitable for a macro-micro heterogeneous network environment. According to the method, the content popularity is predicted, and a cache decision is optimized by adopting a deep reinforcement learning method; according to the method, distributed prediction is carried out on content popularity through a federated learning architecture and a denoising auto-encoder long-short term memory network, and dynamic optimization of content cache is realized. And optimizing a caching strategy and resource allocation by combining a game model between the micro base station and the macro base station so as to maximize the effectiveness of the infrastructure provider. According to the method, a multi-agent deep reinforcement learning algorithm without information sharing is introduced to optimize the system efficiency. The system reduces transmission delay and improves network performance and user experience by calculating a dynamic adjustment strategy of terminal user content popularity and combining a communication resource allocation strategy. The method effectively solves the problems of high delay, low cache resource utilization rate and the like in the existing system, and is suitable for a complex network environment.