1864 results about "End user" patented technology

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.

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.

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.

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.

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.

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.

Provided are a system, a program in a user terminal, and a server with which it is possible to provide the position of a physical store at which it is possible to purchase a purchase-considering product. This server has: an assessment unit configured to determine whether the product ID of the purchase-considering product matches at least one of the physical store product IDs; a physical-retail-store-specifying unit; and a transmission unit for transmitting image data pertaining to the product and location information pertaining to the physical retail store to a user terminal. The user terminal has a display unit for displaying a map. The display unit displays, at a position on the map that is specified by the location information of the physical store, an image of a product based on the image data.

The disclosure relates generally to firmware updates for conference room devices. When there is a firmware problem for a conference room device that needs fixing, it may result in the conference room sitting unused until an end user submits a ticket to information technology (IT). The present disclosure proposes a more proactive approach. For instance, a user may bring a laptop to a conference room for a meeting that uses a meeting application. The laptop may detect the presence of peripherals in the conference room and, in response, iterate through the different peripherals and discover current firmware version and health status for the peripherals. The laptop may then report to an IT server, for each peripheral, 1) peripheral identifier, 2) firmware version, 3) health status, 4) meeting room location. The IT server may then determine if any firmware fixes should be applied.

The present disclosure relates to an intelligent internet of things (IoT) monitoring system, and in particular to techniques (e.g., systems, methods, computer program products storing code or instructions executable by one or more processors) for the implementation of an IoT solution to manage urinary incontinence. Some aspects are directed to the concept of a management platform that allows for end users such as health care providers, caretakers, or medical personnel to manage and monitor one or more subjects through one or more client devices using a network of sensors and IoT devices. Other aspects are directed the concept of a data analysis system configured to train and deploy one or more prediction models for analysis and tracking metrics of health or wellbeing for the one or more subjects.

Provided are systems and methods for AI management configured to guide interactions between end users systems and generative AI services. Various examples can manage data operations, among other options. In various embodiments, an AI management system is configured to host an interactive session via generating workflow steps for controlling interaction with AI models. The interactive session is configured to identify data management operations on user specified data sources. The AI management system can be used to analyze the data sources specified to generate a canonical data format spanning the multiple data sources, generate code for mapping the data sources into a canonical format, normalize the resulting data, cleanse the resulting data, validate the resulting data, and automatically generate code for each such function that can then be triggered by users interacting with the user interface.

A video data loss prevention (vDLP) system that uses machine-learning for protection against data exfiltration of sensitive content across multiple tenants in a cloud-based network. The vDLP system consists of tenants that include end-user devices and a vDLP server. The vDLP server is configured to intercept traffic at an application layer of the cloud-based network and receive a video file from traffic. A viewer for the video file is remote from the cloud-based network. The vDLP server further recognizes text of audio and frames extracted from the video file using a machine-learning engine. The vDLP server then analyzes the frames and text using machine-learning classifiers, enforces policies against machine-learning classifiers for protection against data exfiltration of sensitive content in the video file, and sends a notification away from the cloud-based network upon detection of violation of a policy.

The present application relates to the fields of cloud computing and big data. Disclosed are a system for evaluating a carbon footprint within a full life cycle of a product on the basis of a cloud platform, and an implementation method. The system comprises: a supply chain network cloud platform, which serves as a cloud platform directly connecting with an enterprise user, covers supply chain enterprises corresponding to a product life cycle of raw material acquisition, element manufacture, complete machine assembly, product distribution, product usage and recovery treatment, and consists of a front-end user UI, an external API and a rear-end data processing and analysis unit; a life cycle assessment cloud platform, which implements functions such as data management, calling and loading, and data mining and analysis, performs carbon footprint analysis, measurement and calculation, constructs a product life cycle list database, implements data access, and performs result auditing and arbitration on calculation data; and a cloud platform application enterprise, which enters a user UI interface of the supply chain network cloud platform by means of a cloud platform usage and management interface, and can perform operations such as registration, demand application, data exchange and data storage.

End users subscribe to use information handling systems having a selected of available performance characteristics defined by plural components selected to build the information handling systems. A manufacturer meets subscriptions with information handling systems built from an inventory of new components, deployed components of information handling system is use by subscribers, and separated components taken from returned information handling systems and re-used. End user subscriptions are met in part by building information handling systems with separated components having a useful life remaining that aligns with end user usage patterns tracked over time.

The invention provides a personalized learning path planning system and method, and belongs to the technical field of emerging software and emerging technical services, and the system comprises a data acquisition module which is used for collecting learning behavior data of a terminal user, obtaining a learner portrait package based on the learning behavior data, and sending the learner portrait package to a server; the path planning module is used for carrying out node matching on the learning ability feature vector and a pre-constructed knowledge and skill map, outputting a to-be-learned content node set, dividing learning advanced levels and generating learning path description containing to-be-learned nodes and the advanced levels, and the path generation module is used for generating a primary path planning scheme, the scheme feasibility verification module is used for carrying out scheme feasibility verification in combination with the learning advanced level and the path adaptation parameters, and then outputting a final executable path scheme, and the scheme execution module is used for executing the final executable path scheme and controlling learning content pushing and progress adjustment. The problems that in the prior art, personalized learning path planning is not high in precision, not high in adaptability, lack of dynamic optimization and the like are solved.

The invention provides a mobile terminal online learning optimization method and system, and belongs to the technical field of mobile terminal learning platform optimization, and the method comprises the steps: 1, collecting the original behavior data of a terminal user, and outputting a learner state packet containing a real-time knowledge attention vector, a cognitive load index and an equipment efficiency score; 2, outputting a knowledge blind area mark set, and meanwhile, generating learning state description containing blind area marks and load levels; 3, generating a primary content optimization strategy based on the blind area mark set, carrying out strategy feasibility verification in combination with a load grade and an equipment efficiency score, and outputting a final executable strategy set; 4, executing the executable strategy set and controlling interface rendering and resource allocation; and 5, collecting eye movement track change data and system performance indexes, and outputting a feedback data stream used for updating the knowledge attention vector. The learning content and the user experience are optimized, the cognitive load is reduced, and the high efficiency and individuation of the learning process are ensured.

A system is provided to leverage blockchain for a Multi-Signed Certificate-To-Identity (MSC-To-IT) system using a distributed approach to allow end users to have greater control over their digital identities and cryptographic keys. The system can manage cryptographic keys in a distributed network. The system can include a plurality of nodes configured to participate in a blockchain network. The system can include a key generation module, operable on at least one of the nodes, to distribute generation of cryptographic keys using a threshold scheme, where the cryptographic keys can include a public key and a private key share for each participating node.

The invention discloses a three-party interaction load aggregator participation demand response incentive model and an application method thereof.The three-party interaction load aggregator participation demand response incentive model comprises a power grid company, a load aggregator and a terminal user, an upper-level game structure and a lower-level game structure are constructed, and in the upper-level game, the power grid company serves as a leader to formulate an incentive price to guide the load aggregator to participate in response; the load aggregator serves as a follower to determine aggregation response quantity according to the incentive price; in the lower-level game, a load aggregator serves as a leader to formulate a compensation price to stimulate a terminal user to participate in response, the terminal user serves as a follower to determine the response amount of the terminal user according to the compensation price, and each game main body aims at maximizing the revenue of the terminal user. According to the three-party interaction load aggregator participation demand response excitation model and the application method thereof, a model architecture is innovated, a power grid company-load aggregator-terminal user three-party interaction master-slave game model is constructed, and the limitation that only part of main body game behaviors are focused traditionally is broken through.

Disclosed in the present application are a data processing method based on a large language model, and a large language model, an electronic device, a computer-readable storage medium and a computer program product. The method is applied to a user terminal, wherein a large language model is deployed on the user terminal, and weight parameters of linear calculation layers of the large language model are pre-quantized into format data of an integer data type. The method comprises: acquiring input data; performing vector conversion on the input data by means of an embedding layer of a large language model, so as to obtain a floating-point query vector of a floating-point data type corresponding to the input data; converting the floating-point query vector into an integer query vector of an integer data type; and performing an operation by means of weight parameters of linear calculation layers and the integer query vector, so as to obtain a query result corresponding to the input data. By means of the solution provided in the present application, a large language model can be smoothly run on a user terminal, such that the user terminal can provide services for users without needing network connectivity, and can better ensure the privacy of the users.

A device may receive user activity data identifying activities of a user, and content data identifying text transcripts associated with the user. The device may generate a first custom embedding associated with the user based on the user activity data, and may process the first custom embedding, with a machine learning model, to generate an intent of the user and a next action for the user based on the intent. The device may process the content data to generate a second custom embedding for the user and an end user vector based on the second custom embedding, and may generate a document vector for the user based on the next action for the user. The device may process the document vector and the end user vector, with a language model, to generate a document for the user, and may perform one or more actions based on the document.

The invention relates to the technical field of Internet of Things, and discloses a remote diagnosis system and method for a complex system in an Internet of Things environment, and the system comprises a data collection module which is used for collecting the operation state information of the complex system; the data transmission module is used for transmitting the running state information to the cloud processing center; the cloud processing center is used for performing fault analysis according to the received operation state information based on a machine learning algorithm, generating a fault diagnosis result and a corresponding maintenance suggestion and transmitting the fault diagnosis result and the corresponding maintenance suggestion to the user terminal; and the user terminal is used for receiving the fault diagnosis result and the maintenance suggestion, remotely accessing the system state report of the complex system and remotely controlling the complex system. According to the invention, efficient remote monitoring, accurate fault diagnosis and real-time maintenance guidance of the complex system in the Internet of Things environment can be realized, the maintenance cost is reduced while the maintenance efficiency is improved, and thus the maintainability and safety of the complex system are enhanced.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for automating the recording of an evidentiary history (e.g., versions audit trail) of a graphical user interface with an embedded clickwrap agreement. The snapshot server captures and outputs snapshot records of a graphical user interface displaying the click-wrap agreement on an end user computing platform. The snapshot records are created using a virtual machine that emulates an end user computing platform for navigation of an application rendered on the platform. Aspects may also include generating a snapshot record of metadata associated with the captured snapshot image.

The invention discloses a self-adaptive cloud edge-end cooperative task unloading method based on multi-agent reinforcement learning, and belongs to the technical field of cloud edge cooperative task unloading. The method comprises the following steps: constructing a cloud edge-end three-layer cooperation model; the terminal user optimizes the edge device selected to cooperate and the unloading task amount, and the edge end server comprises a fixed edge server and an unmanned aerial vehicle server; the unmanned aerial vehicle server optimizes a flight path according to the scheduling position of the cloud; the cloud data center optimizes and dispatches the unmanned aerial vehicle position according to the load condition; mobile equipment energy consumption and task completion time delay in the cloud side end cooperative task unloading process are modeled into a comprehensive system cost optimization problem, and the comprehensive system cost optimization problem is further converted into a Markov decision process; designing a multi-agent reinforcement learning algorithm to optimize a task unloading strategy; on the premise of meeting various constraints, the task execution efficiency can be effectively improved, meanwhile, the energy consumption of the mobile equipment is reduced to the maximum extent, and particularly, the service duration and quality of the unmanned aerial vehicle are improved.

A method of making a customized catheter for an end user, comprising: capturing images of an end user's urethra; creating a 3D image of the end user's urethra; identifying areas of interest of the end user's urethra; generating a software or computerized model of a customized catheter using the 3D image, wherein the software or computerized model is modified based on the areas of interest; and 3D printing at least a portion of the customized catheter from the model and catheter made by this method

Systems and methods are provided for customized grouping of end user devices using a new group identifier tag (GIT) in addition to role-based access (e.g., administrator or guest) and device identifier access (e.g., IP or MAC address). Two components may be implemented at a network access device, including a data plane component and a control plane component. For example, the control plane component may authenticate an end user device, store the MAC and IP addresses for authenticated end user devices, and define access roles for the end user device in the datapath. The data plane component may perform packet processing (e.g., forwarding and policy enforcement) pursuant to previously-defined rules. Whenever a packet arrives at the Network Access Device, the packet is forwarded according to the rules specified by the “role” and GIT present in the entry, allowing for improved processing and scalability of network traffic processing.