1096 results about "Information element" patented technology

The invention provides a drug identification information intelligent association method and system based on multi-source data fusion. According to the method, firstly, multi-source heterogeneous data generated in the medicine circulation process is obtained, then key information elements printed on the surface of a medicine package are recognized, meanwhile, a unique identifier bound with the medicine identity is extracted, and then a dynamic tracking link of a medicine transportation path is established; then cross-modal association matching is carried out on the key information element, the unique identifier and the dynamic tracking link to generate a dynamic mapping relation, finally the consistency of the dynamic mapping relation is verified, and the verified dynamic mapping relation is synchronously updated to a supervision terminal of a medicine circulation link. According to the technical scheme provided by the invention, the identification precision and timeliness of risks such as package tampering and path forgery are improved, the abnormal omission ratio caused by data acquisition errors or artificial tampering is reduced, and the reliability of cross-modal data collaborative verification is enhanced.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by an access and mobility management function (AMF) in wireless communication system, the method comprising: receiving, from a user equipment (UE), an uplink non-access stratum (UL NAS) transport message including a payload container type information element (IE) set to N1 SM information and a request type IE indicating initial request; and identifying that a single network slice selection assistance information (S-NSSAI) IE is not included in the UL NAS transport message.

The invention relates to the technical field of computers, and provides a document digitization method and device, electronic equipment and a readable storage medium. The method comprises the following steps: converting original data into a to-be-processed electronic document in a specified format; performing primary page classification processing on the to-be-processed electronic document to obtain a primary page classification result; based on the primary page classification result, determining a page information extraction strategy for the to-be-processed electronic document; extracting key information elements and a page text set from the to-be-processed electronic document based on a page information extraction strategy; and performing structured processing on the key information elements and the page text set to obtain structured data corresponding to the to-be-processed electronic document, and storing the structured data. According to the method, deep intelligent digital processing can be carried out on the original data from different data sources, the processing efficiency is high, and subsequent data processing analysis and retrieval utilization are facilitated.

The invention relates to the technical field of neurosurgery patient follow-up visit management, and discloses a neurosurgery patient follow-up visit management system. The system comprises a patient information acquisition module, a follow-up plan generation module, a data cross validation module, a risk level judgment module and a follow-up structure output module. The system constructs an original information sequence template by extracting patient medical record text information elements; establishing an information directed path based on the template to form a follow-up visit plan path structure; extracting a path node sequence and screening cross data; matching risk labels according to the terminal node to obtain a risk affiliation label group; and finally generating a follow-up visit structure table. According to the system, structured processing, dynamic planning, data cross validation and accurate risk assessment of follow-up visit information of neurosurgical patients are realized, and scientificity and high efficiency of follow-up visit management are improved.

A communication apparatus configured to communicate with a communication apparatus in a mobile communication system using a machine learning technology includes a controller configured to perform machine learning processing of learning processing to derive a learned model by using learning data and / or inference processing to infer inference result data from inference data by using the learned model, and a transmitter configured to transmit, to the communication apparatus, a message including an information element related to a processing capacity and / or a storage capacity usable by the communication apparatus for the machine learning processing.

Provided is a process that includes receiving, via computing system, a template form comprising one or more unpopulated health information elements and a set of populated heath information elements; determining, with a generative language model, generated information based on the set of populated heath information elements of the template form, wherein the generated information relates to a first health information element of the one or more unpopulated health information elements; sending, with the computing system to a user computing device, a message prompting the user to accept the generated information; and responsive to receiving permission from the user computing device, storing the generated information in memory.

A solution for sidelink-assisted positioning of a terminal device. In an embodiment, a procedure in the terminal device includes transmitting, over a sidelink, a message including at least one information element requesting at least one anchor terminal device to report its location to the terminal device; receiving, over the sidelink from the at least one anchor terminal device, a location report including at least one information element indicating a location of the reporting anchor terminal device and an accuracy metric indicating accuracy of the location; determining a location estimate of the terminal device based on the accuracy metric and the location of the at least one anchor terminal device.

A method for wireless local area network (WLAN) sensing measurement, performed by an access point (AP) includes: sending a radio frame in a process of establishing the WLAN sensing measurement, in which the radio frame carries a WLAN sensing measurement information element, and the WLAN sensing measurement information element includes identity information of the AP or sounding type information of the WLAN sensing measurement.

The invention belongs to the technical field of intelligent automobiles, and particularly relates to a system design method based on an intelligent automobile cyber-physical system field knowledge base, which comprises the following steps of: performing composition analysis on information elements and physical elements of an intelligent automobile cyber-physical system, and constructing an IVCPS field knowledge base by using an ontology representation method; the application technology method for constructing the IVCPS domain knowledge base comprises the steps that knowledge reuse based on the IVCPS domain ontology knowledge base is achieved through knowledge representation language conversion, and auxiliary system modeling design based on the IVCPS domain knowledge base is achieved; the knowledge representation language conversion comprises the following steps: constructing a mapping relationship between a knowledge modeling language and an extensible markup language and a system modeling language; based on an IVCPS field knowledge base application technical method, system design based on the IVCPS field knowledge base is realized, instance analysis is performed by using typical traffic scenes in the IVCPS field, the effectiveness of the system design method is verified, system design research can be effectively assisted, data collection time is shortened, and repeated work is avoided.

The invention provides a method and system for constructing a geographic entity based on a DLG topographic map, and the method comprises the steps: taking the DLG topographic map as a data basis, and carrying out the objectification processing of basic geographic information elements; the method comprises the following steps: constructing a data graph based on an association relationship between geographic information elements and a target geographic entity in dimensions such as spatial scale, geometric morphology, geographic features, attribute expression and the like, belonging to a mapping conversion standard, and extracting an intermediate entity library from an objectified result library; entity construction operators are assembled according to needs to complete entity production scheme configuration, processing such as assembly and fusion is carried out on primitive objects in the middle entity library based on an entity production scheme, and rapid production and construction of geographic entity achievements are achieved.

To provide a method for monitoring each terminal in a control plane of a 5G network.SOLUTION: A field for a trace context information element containing a trace ID is provided in messages of the N2 interface between an AMF and a (R)AN, and the N4 interface between an SMF and a UPF. In addition, a SUPI is assigned to the span attribute in the AMF or the SMF. Since the trace ID and SUPI are included in messages between the control plane and the user plane, it becomes possible to recognize one transaction on a terminal basis.SELECTED DRAWING: Figure 2

A method of generating metrics data associated with a microservices-based application comprises ingesting a plurality of spans and mapping an ingested span of the plurality of spans to a span identity, wherein the span identity comprises a tuple of information identifying a type of span associated with the span identity, wherein the tuple of information comprises user-configured dimensions. The method further comprises grouping the ingested span by the span identity, wherein the ingested span is grouped with other spans from the plurality of spans comprising a same span identity. The method also comprises computing metrics associated with the span identity and using the metrics to generate a stream of metric data associated with the span identity.

Apparatuses, systems, and methods for a framework for user consent delivery and utilization in cellular communication systems. An access and mobility management function (AMF) of a network may obtain, from a user data management (UDM), user consent information via a user consent parameter included in a structured data type. The AMF may provide, to a base station of the network, the user consent information via a user consent information element. The user consent information element may be associated with at least one data type and the at least one data type may include radio link failure (RLF) information sharing consent and / or user location information sharing consent. The user consent information element may be included in any of an initial context setup request message, a user equipment (UE) context modification request message, and / or a handover request message.

There are provided measures for trust related management of artificial intelligence or machine learning pipelines in relation to adversarial robustness. Such measures exemplarily comprise, at a first network entity managing artificial intelligence or machine learning trustworthiness in a network, transmitting a first artificial intelligence or machine learning trustworthiness related message towards a second network entity managing artificial intelligence or machine learning trustworthiness in an artificial intelligence or machine learning pipeline in said network, and receiving a second artificial intelligence or machine learning trustworthiness related message from said second network entity, wherein said first artificial intelligence or machine learning trustworthiness related message is related to artificial intelligence or machine learning model adversarial robustness as a trustworthiness sub-factor, said second artificial intelligence or machine learning trustworthiness related message is related to artificial intelligence or machine learning model adversarial robustness as said trustworthiness sub-factor, and said first artificial intelligence or machine learning trustworthiness related message comprises a first information element including at least one first artificial intelligence or machine learning model adversarial robustness related parameter.

The invention relates to the technical field of public safety emergency processing, and discloses an alarm receiving and processing method based on NLP voice recognition and AI agent guided question answering, a user inquires a reporter by means of a guided question answering function of a system or a telephone robot and records the answer made by the reporter in real time, the system calls NLP voice recognition through an interface, and the response of the reporter is recorded in real time. Identified contents are submitted to an AI agent for extraction, abstracting, summarization and structuralization of main contents, and the main contents are displayed to a user and serve as important basic information elements of a case. After the whole alarm receiving and processing process is finished, related content is automatically extracted, a record is generated and printed, the alarm receiving and processing time of a single case can be shortened from 1-3 days to less than 1 hour, and the case handling period is shortened.

There are provided measures for performance related management of artificial intelligence or machine learning pipelines in cross-domain scenarios. Such measures exemplarily comprise transmitting a first artificial intelligence or machine learning performance related message towards a second network entity managing lifecycles of artificial intelligence or machine learning pipelines in a first network domain in a network, and receiving a second artificial intelligence or machine learning performance related message from said second network entity, wherein said first artificial intelligence or machine learning performance related message comprises a first information element including at least one first cross-domain network service involved artificial intelligence or machine learning pipeline performance related parameter.

Methods, systems, and devices for wireless communications are described. An access point (AP) may update a bitmap (e.g., an extremely high throughput (EHT) operations (Ops) information element (IE) disabled subchannel bitmap) that indicates which channels of a band are available and unavailable. In some examples, the AP may update the bitmap during a channel availability check (CAC) based on whether various channels are DFS channels or non-DFS channels. During the CAC, the AP may transmit beacons to one or more stations (STAs) on the available non-DFS channels (e.g., instead of waiting until after the CAC to perform any beaconing).

A method of configuring a multiple Access Points (M-AP) set includes transmitting, by an access point (AP) initiating a new M-AP set, an information element including a plurality of octets. One of the plurality of octets indicates the presence of an extended capabilities octet of the plurality of octets. A bit of the extended capabilities octet indicates if an M-AP Coordinated Transmissions (CT) Basic Service Set (BSS) is enabled for this AP. A method of establishing a multiple Access Points (M-AP) set between APs includes transmitting, by a first AP, a first message advertising an M-AP Coordinated Transmission (CT) Basic Service Set (BSS), receiving, by the first AP, from a second AP, a second message advertising a second M-AP CT BSS, and initiate peering, in response to receiving the first message or the second message, used by an M-AP set including the first AP and the second AP.

A communication method for use in a mobile communication system to provide a multicast / broadcast service (MBS), the method comprising the steps of: receiving configuration information from a base station by a user equipment in a radio resource control (RRC) connected state; and the user equipment transitioning from the RRC connected state to the RRC inactive state receives the multicast session in the cell of the base station. The configuration information includes an information element indicating whether a user equipment receiving a multicast session in an RRC inactive state is allowed to reselect a cell to another cell.

A user equipment (UE), or other network device (e.g., next generation NodeB (gNB)) component can operate to process or configure a search space information element (IE) that is configured with at least one of: a transmission configuration indicator (TCI) state identifier (ID) of a TCI, or a physical downlink control channel (PDCCH) repetition field indicating a number of PDCCH repetitions, or a number of UE-specific search space (USS) repetitions for the PDCCH. A UE can perform search space set group (SSSG) beam switching based on one or more TCI states and at least one of: a search space set (SSS) index, an SSSG index, or a beam switching request (BSR) field value. A physical downlink control channel (PDCCH) associated with the search space can be transmitted for beam switching according to a search space information element.

A wireless terminal comprises receiver circuitry and processor circuitry. The receiver circuitry is configured to receive system information comprising: (1) one or more radio frequencies: (2) for each of the one or more radio frequencies: one or more neighboring cell information elements, each of the one or more neighboring cell information elements comprising: an identity of a neighboring cell operated on the each of the one or more radio frequencies, and one or more sets of one or more identities of network slices supported in the neighboring cell; and (3) a list of one or more frequency priorities. The processor circuitry is configured to select a network slice; to create, based on the system information, a list of radio frequencies for the selected network slice in order of frequency priorities; and to perform a cell reselection procedure based on the list of radio frequencies for the selected network slice.

The invention provides an automatic script generation system and method, computer equipment and a storage medium wherein an interface element pickup module is used for picking up target interface elements in batches and outputting element attribute information of each target interface element; the element type identification module is used for determining an element type label from a predefined element type set according to the element attribute information; the element screening module is used for carrying out screening, duplicate removal and semantic association processing on the target interface elements according to the element attribute information of the target interface elements and the element type labels to obtain a target element set containing element semantic attributes; and the script generation module is used for receiving a natural language instruction, analyzing and responding to the natural language instruction based on the target element set, and generating a target automatic script meeting a target RPA engine execution specification. By adopting the method, the automation degree, efficiency and accuracy of script generation can be improved.

The invention discloses a geographic information element analysis method and system based on a multi-modal large model. According to the method, the flexibility and pertinence of the analysis process are remarkably improved through a dynamic self-adaptive multi-modal fusion mechanism. Through a task sensing module and real-time contribution degree calculation, key data types in different scenes can be automatically identified, the dynamic adjustment enables an analysis process to better meet actual requirements, interference of irrelevant data is avoided, the capture precision of a target geographic phenomenon is directly enhanced, and the accuracy of target geographic phenomenon capture is improved. And the comprehensiveness and the reliability of an analysis result are enhanced through deep collaborative fusion of multi-modal data. Various types of data are complemented and cooperated through unified feature space mapping and dual-drive weight adjustment, not only are multi-dimensional features of geographic information covered, but also limitation of a single data source is reduced through real-time verification and iterative optimization, and a finally output analysis result is closer to a real geographic environment. And a more solid information support is provided for subsequent decision making.

The present disclosure relates to methods and apparatuses for decoding data for (still or video processing into a bitstream). Two or more sets of segmentation information elements are obtained from the bitstream. Then, each of the two or more sets of segmentation information elements are inputted respectively into two or more segmentation information processing layers out of a plurality of cascaded layers. In each of the two or more segmentation information processing layers, the respective sets of segmentation information are processed. The decoded data for picture or video processing are obtained based on the segmentation information processed by the plurality of cascaded layers. Accordingly, the data may be decoded from the bitstream in an efficient manner in the layered structure.

A master mode (MN) provides, with a source secondary node (S-SN), a dual connectivity (DC) connection to a user equipment (UE). A method in the MN includes receiving, from the S-SN, a first message indicating that a change in the SN is required for the UE, the message including a plurality of information elements (IBs) for a plurality of target SNs, to one of which the UE connects after a respective condition is satisfied, each of the IBs including an identifier of a respective one of the plurality of target SNs; and transmitting, to the S-SN, a second message indicating that the change in the SN is confirmed.

Various aspects of the present disclosure relate to a base station and methods that manage cross-link interference during wireless communication especially in dynamic time division duplexing (TDD) using flexible symbols. In one aspect, a processor of an originating base station is configured to cause the base station to: determine downlink transmission parameters to communicate downlink resources to the one or more user equipment (UEs); and identify a spatial pattern to communicate the downlink resources to the one or more UEs. The processor is further configured to cause the base station to communicate, to a second base station, a spatial pattern information element (IE) containing at least one indication of the spatial pattern for cross-link interference management, the spatial pattern IE enabling the second base station to mitigate interference.

The disclosure provides methods, systems, apparatuses, and computer programs for Multicast-Broadcast Services (MBS) in a Non-Terrestrial Networks (NTN) network. The methods include: receiving an information element (IE) including Multicast-Broadcast Services (MBS) service area information indicating one or more MBS service areas in a non-terrestrial network (NTN) serving cell.

The present disclosure relates to methods and apparatuses suitable for an uplink beamforming framework for advanced radio technologies such as 5G. The method performed by a UE comprises: receiving (2001), from a network node, via a higher layer, a configuration of an Information element (IE) comprising a set of parameters used for the configuration of an UL beam direction or a spatial filter to be used in a UL transmission; wherein the IE contains at least: an ID unique to each IE and an ID of an UL reference signal, RS resource or a DL RS resource; and applying (2002) the UL beam direction or spatial filter IE for the transmission of one or more of the PUSCH, PUCCH resource(s) and / or Sounding Reference Signal, SRS resource(s).