149 results about "User oriented" patented technology

An extended Reality (XR) system is provided that enhances user interaction within XR environments. The XR system captures tracking data using one or more sensors, including hand tracking data of a user's hand and pose data of the XR system itself. By continuously capturing this data, the XR system dynamically generates a hand-located user interface that includes interactive virtual objects associated with specific locations on the surface of the user's hand. Additionally, the XR system generates labels for the interactive virtual objects that are dynamically oriented toward the user as the user moves their hands and head when interacting with an XR environment.

A data platform monitors a compute environment by performing multi-stage heuristic analysis of event data representing a plurality of events occurring within the environment. The platform utilizes multiple event analyzers, each configured according to a distinct analysis heuristic, to evaluate different subsets of the event data and generate corresponding output signals. A higher-level event analyzer applies a further heuristic to the multiple output signals to generate a composite alert signal, indicating whether the combination of analyzed events collectively represents a security intrusion or other anomalous condition of sufficient severity to warrant alerting. Based on the composite alert signal, the platform performs an alert-based operation, such as generating a user-facing alert, initiating an automated mitigation, or updating a contextual model of system behavior. By combining the analytical outputs of heterogeneous heuristics, the disclosed architecture enhances the accuracy and contextual relevance of automated intrusion detection within complex computing environments.

The embodiment of the invention provides a ship industry standard document intelligent processing method, which comprises the following steps: S1, document analysis: carrying out structured analysis and restoration on a ship industry standard document to generate a structured text supporting vectorization storage and semantic retrieval; s2, database construction: constructing a document vector index database based on the structured text to form a semantic retrieval task-oriented efficient data structure; and S3, content retrieval: performing user-oriented query, constructing a semantic retrieval mechanism, and completing high-precision matching from a natural language problem to a structured document content and result return. According to the embodiment of the invention, the document structure can be accurately restored, the content segmentation is more reasonable, the retrieval matching is more accurate, the retrieval result has more content depth, the technical path is clear, and the project landing is easy.

Various implementations disclosed herein include systems, methods, and apparatuses for automatically generating a customizable virtual interface embedded in a platform. For example, a specialized interface configured to provide communications between a user and the electronic device may be presented in response to a single executed action and in response to a prompt from the user executed via the specialized interface, sensor and apparatus design data associated with generating a virtual interface is obtained from external systems. The virtual interface is configured to enable actions associated with enabling the user to create a specialized structure. The process may further generate the virtual interface embedded in a platform based on the sensor and apparatus design data and may include potential configurations of the specialized structure. 3D renderings of the plurality of potential configurations of the specialized structure may be presented to the user via the virtual interface.

The invention discloses a transfer travel planning method, which is applied to a service program constructed based on LLM. Comprising the following steps: in response to a direct travel planned for a user, generating at least one guide tag in real time based on target data related to a transit travel demand of the user; the at least one guide label is used for guiding a user to carry out transfer route planning; the guide tag is a composite tag which is composed of a plurality of basic tags and can represent the transit travel demand of the user; outputting and displaying the at least one guide label to the user in an itinerary planning interface; and in response to a selection operation of a user for any target guide tag in the at least one guide tag, further inputting the target guide tag to the LLM, performing reasoning calculation by the LLM based on the target guide tag, planning a transfer travel having the same travel information as the direct travel for the user, and sending the transfer travel to the user. And outputting and displaying the planned transfer travel to a user through a travel planning interface.

The invention provides a technical supervision document retrieval method and a related device, and belongs to the field of technical supervision document retrieval. The method comprises: acquiring a user query intention; retrieving from a database according to the query intention of the user to obtain a natural language answer facing the user question; the database construction method comprises the steps of obtaining an existing technical supervision document; performing analysis and knowledge extraction on the technical supervision document to obtain a knowledge multi-tuple; after the knowledge multi-tuple is verified, time dimension attributes are added to the knowledge multi-tuple; and respectively storing the knowledge multi-tuples added with the time dimension attributes according to data types to obtain a database. According to the technical supervision document retrieval method and device, the problem of low accuracy of technical supervision document retrieval is solved.

The invention relates to the technical field of intelligent peripherals, in particular to a user-oriented interaction information expansion method, which comprises the following steps that: each keycap acquires displacement and pressure, generates an event packet, uploads the event packet through an optical wireless link, and obtains a clock and supplies power; constructing a keycap graph by a master controller, obtaining an intention vector through graph convolution and pooling, inputting the intention vector into a cyclic network to generate a pixel matrix and a phase matrix, and downlink after Bernoulli sparse coding; performing key cap side orthogonal matching pursuit decoding and four-round gradient optimization, and outputting a differential pixel set, a differential phase set and a synchronization mark; the master control refreshes the digital micromirror array and the ultrasonic phased array in a differential manner, locks a frame-level time sequence through a synchronization pulse, compensates link delay and hardware drift in real time based on Kalman filtering, and keeps an optical-acoustic alignment error to be less than 100 microseconds; degradation monitoring enables a link to be automatically switched to a pre-carved character layer and to be quickly recovered when the link is abnormal, and a keyboard interaction information expansion scheme with low delay and high consistency is provided.

The invention belongs to the technical field of task scheduling of a storage system, and discloses a user-mode-oriented storage task self-adaptive scheduling method and system, and a more efficient task processing framework is realized by replacing an original kernel thread-based storage task scheduling scheme with a user-mode coroutine scheduling mechanism. The multi-level priority queues are directly managed in task scheduling, and CPU core binding configuration is carried out, so that the switching delay of a user mode / kernel mode is reduced, and the task execution controllability is improved. A dual-threshold self-adaptive scheduling strategy switching technology is introduced, and a greedy scheduler and a reinforcement learning scheduler are combined, so that the problem of adaptability of a static scheduling strategy in a dynamic load environment is relieved, performance loss caused by scheduling strategy solidification is avoided, and the self-adaptive capability and service quality guarantee of a system under a complex load are improved. Compared with an existing task scheduling method based on a kernel thread, the task scheduling method has the advantages that the overall performance and the resource utilization rate of a storage system can be remarkably improved while the task execution efficiency and the SLA requirement are guaranteed.

The invention provides a label system intelligent generation system and method for user portrait construction, and relates to the technical field of portrait label generation, and the method comprises the steps: setting a label layering rule corresponding to a dynamic behavior of a target user according to inherent attribute data; determining common behavior identifiers corresponding to a plurality of common behavior states of the target user for the state transition node of the target user behavior through a label layering rule; identifying a behavior association probability in the common behavior identifier, actively adapting to a business conflict trend in all common behavior states according to the behavior association probability, obtaining a behavior tolerance value of the common behavior states, and further determining a behavior confidence coefficient of the target user; and updating a user tag directory of the target user during actual service adjustment according to the behavior confidence, and outputting a newly-added portrait tag oriented to the user portrait. According to the invention, layered verification can be carried out on the updating process of the user portrait label, so that the accuracy of the newly added portrait label is improved.

The invention discloses a lightweight security protection method for file permission access in a localization scene, and belongs to the technical field of information security and localization system security. According to the method, the attack process is effectively delayed and automatic attacks are blocked through three aspects of technologies, including file access interception and underlying authority control, virtual Shell hiding and induction, and external command hiding and path migration. Meanwhile, a set of user-oriented file permission access and Shell obtaining and approving system is formulated, a set of file permission access management and control mechanism is formed, and safety energizing and force applying are carried out on a localized system. According to the lightweight security protection method, the limitation of a traditional method is broken through, a security policy is embedded into a file system and a command path, the lightweight security protection method is suitable for a domestic system in a specific scene, and on the premise that normal users and operation and maintenance process availability are guaranteed, attack chain execution can be effectively delayed, automatic attacks are prevented, and system security is enhanced.

The application is suitable for the field of power demand analysis, and provides a power transaction matching recommendation method and system method facing user demand, which comprises the following steps: obtaining user power consumption data, generating a resonance group and a characteristic package with similar power consumption modes and risk tolerance; combining the resonance group characteristics with real-time market data to generate a power consumption comprehensive bidding plan; performing transaction matching based on the bidding plan, preferentially selecting the power generation resources closest in electrical distance, introducing a green energy premium coefficient, and outputting a transaction result; performing portfolio optimization analysis according to the transaction result, and generating a customized power package containing traditional energy, new energy and energy storage in combination with user risk preferences. Through multi-dimensional data integration and intelligent algorithm application, the application realizes accurate matching of power generation resources and user demand, improves power transaction efficiency and user satisfaction, and promotes new energy consumption and sustainable development of the power market.

An input device is proposed comprising one or more control elements (22) with a first surface (24) facing the user and a second surface (25) opposite the first surface (24) and facing away from the user, and comprising one or more actuators (26) for moving one or more of the control elements (22) between a starting position and an end position. The input device (20) includes a receiving element (28) with a user-facing surface (29) for receiving one or more control elements (22), wherein the user-facing surface (29) of the receiving element (28) and the first surface (24) of one or more control elements (22) are arranged on the same plane in the starting position, and wherein the first surface (24) of the control element (22) is extended or lowered relative to the receiving element (28) in the end position.The input device (20) comprises a cam disk (36) which is rotatable by means of the actuator (26) and a rod (27) which is arranged with a first end on the control element (22) and with a second end opposite the first end on the cam disk (36) such that the rotational movement of the cam disk (36) can be converted into a movement of the rod (27) and wherein the control element (22) can be moved between the starting position and the end position by the movement of the rod.

This invention relates to the field of advertising technology and provides a multi-dimensional advertising effect simulation method for user experience optimization. The method includes: constructing a multi-dimensional evaluation index matrix based on the comprehensive experience utility value, wherein the multi-dimensional evaluation index matrix includes at least commercial revenue indicators, experience loss indicators, attention retention indicators, and brand safety indicators; and using a counterfactual inference method to simulate various advertising strategies in a virtual environment, aiming for Pareto optimality, and determining the strategy combination that maximizes commercial revenue while ensuring that the user experience indicators do not fall below a preset threshold. This invention constructs a multi-dimensional evaluation index matrix including commercial revenue indicators, experience loss indicators, attention retention indicators, and brand safety indicators, breaking through the limitations of traditional methods that rely solely on single commercial indicators such as click-through rate and conversion rate.

A head-mountable device renders a graphical user interface and causes user-interface changes responsive to facial expressions of a user. The device receives sensor data from user-facing sensor assemblies, including imaging of left and right eye regions, and eye-tracking data indicative of eye movement. The device derives eye-openness data for each eye from the sensor data, including measurements based on eyelid geometry. In response to a facial expression, the device causes a user-interface change that is conditional, at least in part, on the eye-tracking data and the eye-openness data. Facial expressions may include winking, blinking, and squinting. In some embodiments, the device determines an amplitude and / or duration of the facial expression and varies a magnitude or speed of the user-interface change based on the determined parameter(s), enabling text entry, selection, navigation, and manipulation of displayed objects and applications.

The invention belongs to the technical field of information, and relates to a user-oriented CSTR identification registration analysis log analysis method and system. The method comprises the following steps: generating an identification registration log, an identification analysis log and an identification analysis inspection log; and analyzing the identification registration log, the identification analysis log and the identification analysis inspection log to generate a user early warning report. According to the invention, based on the CSTR system, deep treatment and intelligent analysis are carried out on the log data generated in the registration and analysis process of the CSTR identifier, so that the refinement level and data service capability of scientific and technological resource management are remarkably improved, observability analysis of the full life cycle behavior of the CSTR identifier can be realized, and the method is suitable for popularization and application. And the user can continuously improve the resource accessibility and the service quality, so that the academic influence and the platform viscidity of the user are enhanced.

In some implementations, there is provided a method including identifying, from an electronic drawing, at least one object and at least one object location in at least one user intention for a user interface that is responsive across a plurality of screen sizes, wherein the at least one object and the at least one object location are identified using a machine learning model; creating responsive rules for the at least one object and at least one object location detected in the at last one user intention; and rendering, based on the responsive rules, the user interface, such that the responsive rules configure content layout in the user interface in response to a screen size displaying the user interface. Related systems, methods, and articles of manufacture are also disclosed.

The application relates to a user-oriented intelligent customer service method and device, equipment and medium in the e-commerce technical field, the method comprising: in response to a user enabling an intelligent customer service event, obtaining personal information and historical behavior data of the user, and determining a corresponding user portrait; in response to a user asking event, obtaining an asking text input by the user, determining a standard asking text matched with the asking text in a preset question and answer knowledge base, and obtaining a standard reply text of the standard asking text; applying a preset instruction template, generating a corresponding constraint instruction according to the user portrait and the standard reply text, the constraint instruction indicating that the standard reply text is re-expressed according to the user portrait to match the character style of the user; and inputting the constraint instruction into a preset personification question and answer model to generate a user-oriented reply. The application can match the character style of the user to reply, and realizes more real and personified customer service.

This invention relates to the field of network security technology and discloses a network security situation prediction method and system based on artificial intelligence, comprising the following steps: embedding controllable Trojan data into user-facing software by uploading network data; collecting hardware information data of the software and software status data of the user-facing software based on a data acquisition module; extracting feature vectors from the hardware information data and software status data; and then having a third party evaluate the security coefficient of the controllable Trojan data. This invention, by proactively embedding a controllable, fingerprint-hidden authorized Trojan in a real software environment for attack and defense drills, overturns the passive mode of traditional security detection that relies on historical attack characteristics or static rule bases. This enables proactive perception and discovery of attack clues for unknown threats and advanced persistent threats, greatly improving the system's predictability of potential risks.

We provide an information processing system that can easily offer a mechanism for flexibly answering user questions. [Solution] According to one aspect of the present invention, an information processing system is provided comprising one or more processors, wherein the processors, in a reception step, receive a user question from a user; in an extraction step, extract one or more Q&A data that are more relevant to the user question than other Q&A data from a pre-prepared group of Q&A data; in a generation step, generate an answer to the user question as a user-facing answer based on the extracted one or more Q&A data; and in a presentation step, present the generated user-facing answer to the user.

This invention relates to a knowledge graph question answering method and system based on knowledge subgraph retrieval and multi-agent collaboration. The overall architecture of this method consists of three core stages: the first stage is training a knowledge subgraph retrieval device based on gated flow propagation; the second stage is adaptive knowledge subgraph extraction oriented towards user questions, receiving user questions and outputting adaptive knowledge subgraphs related to the questions; the third stage is multi-agent collaborative reasoning based on structured evidence archives, completing question parsing, evidence collection, and answer evaluation within the subgraph, ultimately outputting the answer and an interpretable evidence chain. This invention designs a subgraph retrieval device based on time-state grids with gated flow propagation; simultaneously, it achieves adaptive dynamic adjustment of the subgraph size through a distribution-aware clustering algorithm, reducing information irrelevant to the user question while ensuring the integrity of key reasoning paths.

Computerized systems and methods are provided for managing alerts and notifications within a technology distribution platform. A Single Pane of Glass User Interface (SPoG UI) presents notifications to users enabling interaction and customization. A Real-Time Data Mesh (RTDM) collects, filters, enriches, and standardizes event data from multiple sources into a uniform format. An Event Adapter formats data to be processed by a Notification Engine, configured to determine one or more notification triggers and generate alert content based on established rules and algorithms. A logging and user interaction module tracks user interactions with notifications. User feedback is processed by an Advanced Analytics and Machine Learning (AAML) Module configured to dynamically adapt notification logic. Notification content and delivery mechanisms are refined by a Distribution Module to ensure effective dissemination across various communication channels.

We provide the system. [Solution] Information provision means using knowledge graph technology, A query mechanism for generating queries in a knowledge graph based on user questions and retrieving corresponding information from the knowledge graph, A means of providing acquired information to the user via a chat interface, A system that includes this.

A system and computer-implemented method of automatically generating a record, in a user-oriented record-keeping application, based on vocalized expression. The method includes receiving an audio signal indicative of the vocalized expression; generating a first transcript using a first transcription model based on the audio signal; generating a second transcript using a second transcription model based on the audio signal, independently of the first transcription model; determining a third transcript based on the first and second transcripts by using a large language model; using the third transcript and a machine learning model to determine data suitable for generating the record; and operating the record-keeping application using a desktop automation tool based on the data to generate the record.

The invention discloses an interactive navigation method, device and equipment and a readable storage medium, which can be applied to the technical field of document processing, and the method comprises the following steps: providing an interactive interface; the interactive interface comprises a PDF document page and a clause list; acquiring a to-be-processed event triggered when a user clicks a target term on the interactive interface; the target clause is any one clause in the clause list; determining target document information corresponding to the to-be-processed event based on a preset mapping database; and displaying a target text content corresponding to the target document information on the PDF document page, and executing a highlighting operation on the target text content. Therefore, by introducing the preset mapping database, the user can automatically and accurately jump to the target page by clicking the key text, the corresponding target text content is displayed to the user, and the highlight operation is performed on the content, so that the navigation efficiency is improved.

Various embodiments include a communication network that comprises a control plane and a user plane. The control plane selects a network slice for the user device in response to a session request for a user device. The session request identifies the network slice. The control plane indicates the network slice to the user device. The control plane determines the user device qualifies for enhanced slice security. The control plane updates the network slice to route user data for the user device on the network slice to an edge security service in response to determining the user device qualifies for the enhanced slice security. The user plane exchanges the user data with the user device over the network slice. The user plane routes the user data to the edge security service. The edge security service enforces security policies on the user data and delivers the user data to a data network.

Aspects of this disclosure relate to systems and methods for preventing injection attacks to large language models (LLMs). Techniques implemented by these systems and methods can include obtaining a query from a user device that is configured to cause an LLM to generate an output outside of a predetermined scope. In response to obtaining the query, systems can execute one or more evaluation models that are configured to identify one or more compatibility issues that can arise if the queries are executed by an LLM. Where a query is identified as having one compatibility issue(s), the systems described herein can either update the query to address the issue. Additionally, or alternatively, the systems described herein can prevent the processing of the query (and processing in furtherance of the injection attack) by an LLM.

The invention discloses a user-side-oriented multi-target decision execution method and system, and relates to the field of intelligent scheduling decision, and the method comprises the steps: collecting the operation state data of a plurality of user-side devices, and carrying out the construction to obtain a decision state vector; inputting the decision state vector into a preset Markov policy network, and outputting a decision action vector; wherein the Markov strategy network is obtained by performing iterative training on a feedforward neural network based on action space constraint and state transition excitation; the action space constraint is constructed based on a decision state vector; the state transition excitation is constructed based on a plurality of optimization targets; the plurality of optimization targets comprise operation cost optimization, carbon emission optimization and instruction response optimization; and according to the action space constraint, cutting the decision action vector to obtain a feasible action vector, and sending the feasible action vector to a plurality of user side devices to execute a decision. According to the embodiment of the invention, the multi-target decision-making precision facing the user side can be improved.

An intuitive tip system for a user-interactive system is provided. One aspect discloses an interactive system including a first sex toy 1 including a sensor 1a configured to be coupled by a first user 4. Manipulation of the first sex toy is detected by the sensor and triggers the interactive system to provide a reward to a second user 5. In another aspect, a sensor 102 is provided on a wristband configured to be attached to the body of the first user 4, the sensor configured to transmit a signal to a central server 7 which determines a reward for the second user 5.

The method of quantification of an occurrence probability of a stroke condition, comprises the steps of:providing, by a computer interface, instructions to a user,capturing a series of images and sounds of the user during the execution of each instruction,extracting, by a computing device, features from each series captured,providing the extracted features for each instruction to a dedicated trained machine learning model, said trained machine learning model being trained to associate an intermediate quantified value of an occurrence probability of a stroke condition,receiving the several intermediate quantified value of an occurrence probability of a stroke condition,providing the several received intermediate quantified value of an occurrence probability of a stroke condition to a trained machine learning model, said trained machine learning model being trained to associate a final quantified value of an occurrence probability of a stroke condition with several intermediate quantified values of an occurrence probability of a stroke,receiving the final quantified value of an occurrence probability of a stroke condition, andproviding the final quantified value of an occurrence probability of a stroke condition.

In a system in which a recipe is stored on a recipe framework, a method includes a recipe program presenting recipe information to a user using a device interface on a first device and / or an appliance interface of a first appliance; tracking user interactions with the recipe program via the device or appliance interface; monitoring progress and state of the recipe; and maintaining in the recipe framework, a version of the progress and state of the recipe. Responsive to the user switching to a second device or appliance while the recipe is in progress, presenting recipe information on the second device or appliance based on the version of the progress and state of the recipe maintained in the recipe framework, where the second device or appliance obtains the version of the progress and state from the recipe framework. The recipe was generated by one or more machine-learning algorithms.