38 results about "Information discovery" patented technology

A discoverer user equipment sends a discovery announcement to a discoveree user equipment via a sidelink service. The announcement includes criteria for a service sought by discoverer. The discoveree assesses the announcement and may respond to the discoverer. The discovery announcement may be a target search discovery announcement or a self-advertisement discovery announcement, and may be unicast, groupcast, or broadcast. The discoverer and discoveree may perform synchronization in support of V2X sidelink communication and may collect driving information pertaining to vehicles associated with the discoverer and discoveree, respectively, such as driving intention, positioning, and environment information. The discoverer may request an authorization for the discovery announcement, and the request may include the driving information. The information in the announcement and the response may include discoverer and discoveree service, platform, and radio capabilities, source identifiers, driving information, radio measurements, group identifiers, and protocol configuration parameters.

A data modeling and analytics platform augments and annotates content captured from a user's online interactions and other documents. The data modeling and analytics platform is performed within a machine learning and artificial intelligence-based processing environment that enables observability, explainability, and data analytics for dynamic information discovery over time within a user library that includes files representing the online interactions and documents containing information of user interest.

A hybrid architecture that combines the efficiency of small language models with the accuracy of large language models for enhanced selection of requested functionality and identification of data visualizations using an enterprise system is described. For instance, a widget selection method employs a hybrid architecture using both small and large language model to efficiently search through possible widgets by using an LLM to vectorize the titles widgets and information associated with those widgets and a small language model to use a natural language model to search the vectorized widgets.

The invention discloses a Bluetooth-based firmware upgrading method and device, electronic equipment and a medium. The method comprises the following steps: dividing a firmware upgrading file required by target equipment into at least two data blocks, and determining a sending serial number and a first check value of each data block; sending the first data block to the target device through the Bluetooth channel according to the sending serial number; receiving feedback information which is returned by the target equipment and generated for the first data block, if transmission of the first data block is interrupted according to the feedback information, determining an interruption reason, and adjusting a transmission strategy for the interruption reason to resend the first data block; and until the first data block is successfully sent, sending of other data blocks in the at least two data blocks is completed according to the sending serial number, so that the target device restores the firmware upgrading file according to the at least two data blocks for firmware upgrading. According to the technical scheme provided by the embodiment of the invention, efficient and stable firmware upgrading can be realized.

The invention discloses a multi-dimensional online report analysis system, which comprises a multi-dimensional data model building module, a real-time data processing module, a multi-dimensional report generation module, a deep report analysis module, a data interaction module and a data visualization module. A data model supporting multi-dimensional analysis is constructed, so that the system can adapt to specific analysis requirements of different industries and different enterprises, the applicability and practicability of the system are improved, a multi-dimensional report can be automatically generated through a multi-dimensional report generation module according to dimensions and measurement standards defined by a user, and the user experience is improved. The deep report analysis module provides rich analysis functions such as trend analysis, year-on-year analysis and grouping comparison, and the functions help the user to deeply mine information behind the data and find potential problems and opportunities.

The invention discloses a method for accessing and configuring industrial control equipment with differentiated certainty in a publishing and subscribing mode. The method comprises the following steps: a discovery server obtains initial equipment information of static equipment; the IDE requests a discovery server and obtains registered static equipment and initial equipment information of the registered static equipment; constructing device configuration information of the programmable device and the static device; the discovery server integrates all equipment configuration information and sends the information to the network manager; the network manager formulates a communication strategy for the publishing and subscribing equipment and the switch; the discovery server sends the communication strategy configuration information to all the devices; and all the devices execute device connection, Topic association and publish subscription communication according to the communication strategy configuration information. Through the method provided by the invention, the industrial control system can support flexible access and automatic configuration of equipment in the publish-subscribe mode, and the certainty of real-time information transmission and the bearing performance of non-real-time information transmission of the industrial control system in the publish-subscribe mode are improved.

Embodiments of the present disclosure relate to enhanced ProSe (proximity-based service) direct discovery or sidelink discovery. In an aspect, a first terminal device receives, from a sensing function, an indication for transmitting, to a proximity services network function, a discovery request, the first terminal device transmits, to the proximity services network function, the discovery request and sensing assistance information, the first terminal device receives, from the proximity services network function, a response comprising an indication of authorization of the discovery request and information associated with the at least one of the other terminal devices, and the first terminal device discovers, based on the information of the response, one or more terminal devices to perform the sensing. The embodiments of the present disclosure are beneficial to discover and select qualified ProSe-enabled terminal devices as the sensing assisted terminal devices to participate in the sensing measurement service.

The present disclosure provides a discovery method of a near field communication controller, an AMF, a system and a storage medium, wherein the method comprises: the AMF receiving DDNMF request information sent by a terminal, the information comprising at least one Prose application ID; the AMF sending DDNMF discovery request information to the NRF if it is determined that no target DDNMF information corresponding to the Prose application ID is stored; the AMF receiving DDNMF discovery response information returned by the NRF, the information comprising target DDNMF information supporting the Prose application ID; and the AMF returning the target DDNMF information to the terminal according to the DDNMF response information. The present disclosure solves the problem of the terminal determining a suitable DDNMF in a multi-DDNMF scenario, can enhance the networking expansion capability of near field communication, and improves the user experience.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real-world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

Disclosed are computerized systems and methods for a decision intelligence (Dl)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real -world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

A data modeling and analytics platform augments and annotates content captured from a user's online interactions and other documents. The data modeling and analytics platform is performed within a machine learning and artificial intelligence-based processing environment that enables observability, explainability, and data analytics for dynamic information discovery over time within a user library that includes files representing the online interactions and documents containing information of user interest.

The present application provides a synchronization frame sending method, apparatus, and communication device. The method includes: obtaining first congestion information, where the first congestion information is congestion information generated corresponding to a first synchronization node; obtaining second congestion information, where the second congestion information is congestion information generated corresponding to a second synchronization node; generating third congestion information based on the first congestion information and the second congestion information; if the third congestion information indicates that at least one unoccupied synchronization time slot exists within a discovery window, determining one of the at least one unoccupied synchronization time slots as a target synchronization time slot. In this way, the presence of a hidden synchronization node can be discovered through the second congestion information; if the third congestion information indicates that all synchronization time slots within the discovery window are occupied, the present application does not require backing off and waiting, but instead uses a synchronization frame interference avoidance mechanism to determine the target synchronization time slot. This allows more synchronization nodes to have the opportunity to send synchronization frames, thereby improving the utilization rate of the discovery window.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real-world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

A method performs service discovery in a machine learning service. The method includes detecting initialization of at least one service container, identifying label information in the at least one service container, collecting the label information for the initializing at least one service container, and storing the label information in a routing information storage to enable routing of requests to the at least one service container.

The invention belongs to the field of natural resource management, and particularly discloses a land resource management and utilization change information real-time acquisition method, device and equipment and a medium, and the method comprises the steps: S1, obtaining a data stream from a first-class sensing source, and generating early warning data indicating that the surface state is abnormal; s2, on the basis of the early warning data, triggering collection of a second-class data stream of the target area; s3, carrying out near real-time analysis on the second-class data stream, and identifying whether a predefined dynamic target representing a land development behavior exists in the second-class data stream or not; s4, fusing the early warning data and the behavior recognition result to generate structured land utilization change event data; according to the invention, wide-area and rapid preliminary screening is realized through abnormal state early warning; near-field and accurate video analysis and behavior capture are carried out in combination with triggering behavior evidence secondary confirmation, the overall timeliness of change information discovery is improved, and meanwhile, the misjudgment rate is remarkably reduced in combination with state and behavior cross validation.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real-world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

The discoverer user equipment sends a discovery announcement to the discovered user equipment via the side link service. The announcement includes the criteria for the service sought by the discoverer. The discovered party evaluates the announcement and can respond to the discoverer. The discovery announcement can be a target search discovery announcement or a self-advertising discovery announcement, and can be unicast, multicast or broadcast. The discoverer and the discovered party can be synchronized to support V2X side link communication, and driving information related to the vehicles associated with the discoverer and the discovered party, such as driving intention, positioning and environmental information, can be collected. The discoverer can request authorization for the discovery announcement, and the request may include driving information. The information in the announcement and response may include the discoverer and the discovered party services, platform and radio capabilities, source identifiers, driving information, radio measurements, group identifiers, and protocol configuration parameters.

A system for automated sensitive information discovery, monitoring, and remediation using an agent associated to a data source and including: a module detecting the occurrence of events indicative of access to data; an module identifying the events classified as potentially threatening; a module extracting data associated to each potentially threatening event; and a module performing data analysis of the extracted data and determining a sensitivity score for the data to file associated to the potentially threatening event. The system also comprises a central platform in data communication with the agent and including: a module analyzing data received from the agent and identifying a potential security risk relative to one of a user or group of users associated to the data source, the data source, a specific file or a specific data type stored on the data source; and a control module triggering remediation actions upon detection of a security risk.

A commercial shipping asset including a plurality of sensors disposed on the commercial shipping asset. A controller is communicatively connected to each sensor in the plurality of sensors. The controller further includes a master asset identifier and a receiver. The controller is configured to implement a dynamic information discovery protocol.

Systems, methods and computer-readable media are provided for facilitating clinical decision support and managing patient population health by health-related entities including caregivers, health care administrators, insurance providers, and patients. Embodiments of the invention provide decision support services including providing timely contextual patient information including condition risks, risk factors and relevant clinical information that are dynamically updatable; imputing missing patient information; dynamically generating assessments for obtaining additional patient information based on context; data-mining and information discovery services including discovering new knowledge; identifying or evaluating treatments or sequences of patient care actions and behaviors, and providing recommendations based on this; intelligent, adaptive decision support services including identifying critical junctures in patient care processes, such as points in time that warrant close attention by caregivers; near-real time querying across diverse health records data sources, which may use diverse clinical nomenclatures and ontologies; improved natural language processing services; and other decision support services.

The invention discloses a cultural information digital storage method and system, and relates to the technical field of cultural information digital storage, and the method comprises the steps: employing natural language processing, and carrying out the preprocessing of a matched result; the hierarchical storage strategy comprises the step of dynamically adjusting the distribution of the hierarchical storage strategy by utilizing a distributed Hash algorithm; and accessing the culture information based on the role access control model and the attribute encryption model, providing information display of different degrees according to the authority level of the user, and completing digital storage of the culture information. According to the method, the utilization of storage resources is optimized, the storage cost is reduced, the response speed of the system is improved, the user retrieval experience and the information discovery capability are improved, fine-grained authority management and data protection are provided based on the role access control model and the attribute encryption model, and the user experience is improved. It is ensured that different types of users can obtain information display of different degrees according to the authority levels of the users, and the safety and privacy of cultural information are guaranteed.

The invention provides an enterprise culture data processing method and system based on a time sequence and a block chain, and provides an enterprise culture activity effect evaluation method and system capable of dynamically analyzing a data trend, intelligently optimizing and guaranteeing the authenticity and credibility of data, so that the accuracy and reliability of evaluation are improved, and more valuable reference is provided for enterprise decision making. Dynamic index screening is realized through time sequence analysis, optimization is carried out, and changes of enterprise culture activities in different stages and different environments are quickly adapted. According to the method, complicated rules do not need to be set manually, potential information behind the data can be effectively mined, and influence factors which are difficult to perceive by a traditional method are found. The block chain technology is introduced to carry out evidence storage and verification on the data, so that the problem that the data is tampered is fundamentally solved, the authenticity and integrity of the evaluation data are ensured, and a reliable basis is provided for enterprise decision making. Through effect prediction and feedback optimization, enterprises are helped to continuously optimize cultural activities, and the cultural construction level of the enterprises is improved.

This disclosure describes architectures and techniques to provide information to a user about items with which the user interacts. In some instances, a user may utilize a wearable device that is configured to interact with one or more components of an information discovery system to obtain information about items in the user's environment.

A hybrid architecture that combines the efficiency of small language models with the accuracy of large language models for enhanced selection of requested functionality and identification of data visualizations using an enterprise system is described. For instance, a widget selection method employs a hybrid architecture using both small and large language model to efficiently search through possible widgets by using an LLM to vectorize the titles widgets and information associated with those widgets and a small language model to use a natural language model to search the vectorized widgets.

Systems, methods and computer-readable media are provided for facilitating clinical decision support and managing patient population health by health-related entities including caregivers, health care administrators, insurance providers, and patients. Embodiments of the invention provide decision support services including providing timely contextual patient information including condition risks, risk factors and relevant clinical information that are dynamically updatable; imputing missing patient information; dynamically generating assessments for obtaining additional patient information based on context; data-mining and information discovery services including discovering new knowledge; identifying or evaluating treatments or sequences of patient care actions and behaviors, and providing recommendations based on this; intelligent, adaptive decision support services including identifying critical junctures in patient care processes, such as points in time that warrant close attention by caregivers; near-real time querying across diverse health records data sources, which may use diverse clinical nomenclatures and ontologies; improved natural language processing services; and other decision support services.

The embodiment of the invention provides a session message processing method and device, a storage medium and a program product. In the embodiment of the invention, when the client is offline, the server actively extracts the message digest of the offline session message of each session; and after the client is online again, the server sends the lightweight message digest list to the client, so that the content of each session can be efficiently overviewed, and the network transmission load can be reduced. According to the message digest selected by the user, the associated offline session message is obtained in real time, so that the time for waiting for pulling other offline session messages is avoided, and the viewing efficiency is improved. When the offline session message associated with the selected message digest is obtained, the message digest of other sessions can be recommended according to the currently selected message digest, so that a user can check related discussion in other sessions while checking the details of the current session, and the efficiency and breadth of information discovery are improved.

Systems, methods and computer-readable media are provided for facilitating clinical decision support and managing patient population health by health-related entities including caregivers, health care administrators, insurance providers, and patients. Embodiments of the invention provide decision support services including providing timely contextual patient information including condition risks, risk factors and relevant clinical information that are dynamically updatable; imputing missing patient information; dynamically generating assessments for obtaining additional patient information based on context; data-mining and information discovery services including discovering new knowledge; identifying or evaluating treatments or sequences of patient care actions and behaviors, and providing recommendations based on this; intelligent, adaptive decision support services including identifying critical junctures in patient care processes, such as points in time that warrant close attention by caregivers; near-real time querying across diverse health records data sources, which may use diverse clinical nomenclatures and ontologies; improved natural language processing services; and other decision support services.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real-world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real-world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.