471 results about "Identicon" patented technology

Various embodiments described herein relate to real-time proximity-based contextual information for an industrial asset. In this regard, a request to establish a remote collaboration environment associated with an industrial asset in an industrial environment is received. The request includes an asset identifier provided by a mobile computing device proximate to the industrial asset. The request also includes location data associated with the industrial asset. In response to the request, contextual data for an industrial task associated with the industrial asset is determined based on the asset identifier and the location data. Furthermore, one or more interactive media elements associated with the industrial task is generated based on the contextual data. The one or more interactive media elements are communicated via the remote collaboration environment.

Embodiments of the present disclosure provide an information processing method and apparatus, a device, a storage medium, and a program product. The method comprises: on the basis of a user input, determining at least one document fragment associated with the user input, wherein a target document fragment among the at least one document fragment comprises one or more pieces of media content; generating prompt information on the basis of text in the at least one document fragment and the user input, wherein the prompt information comprises one or more identifiers, and an identifier corresponds to media content among the one or more pieces of media content and is related to the position of the corresponding media content in the target document fragment; and on the basis of the prompt information, using a machine learning model to generate a reply to the user input.

A computer-implemented method for identifying a product citation in a document, the method comprising searching, in the document, for an entity identifier corresponding to an entity and, if an instance of the entity identifier is detected in the document, determining a portion of the document around the instance of the entity identifier as a target text, wherein the entity is associated with a product catalogue, the product catalogue comprising a plurality of product identifiers; applying a first regular expression to the target text, wherein the first regular expression is configured to match one or more of the plurality of product identifiers; and if a product identifier from the plurality of product identifiers is determined to be cited in the target text, adding an entry to a citation database linking the document and the product identifier.

Autonomous generation includes generating, with a large language model (LLM), an action list for performing an extraction task from at least one website. Generating the action list may include for each action in the action list performing operations. The operations include capturing current webpage data including a screenshot of a current webpage and a set of interactable widgets, obtaining, using an LLM processing the current webpage data, a next action attribute set, adding the next action attribute set, and performing the next action. Autonomous generation also includes traversing the action list to filter out at least one superfluous action, generating, after filtering, a set of machine executable instructions from the action list, and storing the set of machine executable instructions associated with a task identifier. Autonomous generation also includes executing the set of machine executable instructions to extract a data element from the at least one website.

The present disclosure provides a scientific instrument support apparatus comprising a first logic, a second logic, and a third logic. The first logic subscribes to events from a device driver, receives signature data events including a generated signature event, generates signature data with a specified signature identifier in response to the generated signature event, and transmits the signature data to the second logic. The second logic receives the signature data from the first logic, processes the signature data, writes the processed signature data to an instrument health database, and transmits the signature data to a cloud-based database. The third logic presents a graphical user interface based on the processed signature data. The apparatus enables efficient collection, processing, and presentation of scientific instrument data for improved monitoring and analysis.

A processing method and apparatus for configuring artificial intelligence and machine learning functions in communication are disclosed. In an example from the perspective of a user equipment, the user equipment receives one or more configurations. The user equipment reports a single list of entries containing applicability information for one or more configurations. Each entry in the single list of entries contains an identifier and a flag. The flag indicates the applicability status of the configuration associated with the identifier in one or more configurations. The identifier is a first type of identifier indicating a predicted configuration for a first function, a second type of identifier indicating a predicted set of relevant parameters for a second function, and / or a third type of identifier corresponding to CSI-ReportConfigId.

The disclosure relates to a method and system for securely selecting applications using application identifiers. The method for securely selecting applications using Application Identifiers (AIDs), wherein application-specific static keys are utilized to encrypt AIDs, ensuring privacy and preventing inference about the selected application. The method includes generating a random number to embed in the encryption for uniqueness and replay attack prevention, authenticating the selection command with a Message Authentication Code (MAC) for integrity, and transmitting the encrypted selection command to a recipient device for further processing.

This invention discloses a method and system for power equipment identification and information verification that integrates image semantic segmentation, relating to the fields of computer vision and data processing technology. The method includes: acquiring power equipment images and performing pre-standardization review; performing hierarchical identification on the power equipment images that have passed the pre-standardization review; matching measurement names from a measurement point-equipment-image relationship table based on image identifiers, calculating the similarity between the measurement point names and the measurement point names in the ledger records, and establishing an association between the power equipment images and the ledger records when the similarity is greater than or equal to a preset similarity threshold; comparing the hierarchical identification results with corresponding fields in the ledger records to obtain differences, and performing logical hierarchical consistency checks on the differences at the field level, cross-field level, and business level to obtain the credibility level and perform differentiated updates. This achieves high-precision automatic alignment between ledger data and on-site equipment status, reducing the cost of manual inspection and ledger verification.

A system operable on a data communications network to operate on audio / video data includes a server computer communicatively coupled to the network. The server computer includes an application unit that runs an application. The application is accessible to a user device communicatively coupled to the network. The application unit requires audio / video data to run the application. The system also includes an audio / video server computer communicatively coupled to the network. The audio / video server computer transmits audio / video data over the network in response to a request. The user device includes at least a buffer, a decoder, and an output device. The server computer issues a demand request over the network to the user device to receive audio / video data for operation of the application unit. The demand request includes an identifier of the audio / video data and a network address of the audio / video server computer. The user device, upon receiving the demand request, issues a request over the network to the audio / video server computer in communication, and the audio / video server computer communicates the audio / video data over the network to the user device in communication. The user device reformats the audio / video data and communicates the reformatted audio / video data to the server computer. The server computer reverses the reformatted audio / video data to obtain substantially the original audio / video data for operation of the application unit.

A method and system for determining a custom personal identification number (PIN) for a user based on an ordered series of events are disclosed, comprising generating the custom PIN for the user based on a set of stored events of the user, each event associated with a point in time and authenticating the user responsive to receiving information that matches the custom PIN. A chronological order of a selected subset of events can be determined. A chronological identifier can be assigned representative of a position of the respective event in the determined chronological order. The custom PIN can be determined as an arrangement of the chronological identifiers. The selected subset of events can be presented to the user in the arranged order. The user can be authenticated responsive to determining that a received indication of a chronological arrangement matches the determined PIN.

The embodiment of the application provides a kind of method and system based on the object dynamic generation of reflection mechanism, it is related to the technical field of C++ programming technique.The method comprises the following steps: establishing the mapping relationship between multiple class identifiers and multiple creator functions;Receive configuration file, and determine at least one object definition item based on the configuration file;According to the class identifier contained in the target object definition item, retrieve the corresponding creator function from the mapping relationship;According to the construction parameter, call the creator function to obtain the object instance corresponding to the instance identifier contained in the target object definition item.Through the application, the problem of low efficiency of instance object development is solved, and the effect of improving the efficiency of instance object development is achieved.

Systems and methods for configuring a smart contract are disclosed. A system may receive unstructured data and identifying, based on the unstructured data, an intent to perform a transfer of data. The system may then identify, based on the unstructured data, parameters associated with the transfer of data. The parameters may include an amount of data to be transferred, a transferee, and at least one condition associated with the transfer of data. The system may then retrieve identifier data from a storage module, the identifier data including a first unique identifier. The system may then send, to a Large Language Model (LLM) via a first prompt engine module and an LLM Application Programming Interface (API), a prompt based on the unstructured data and the identifier data. The system may then receive LLM output from the LLM, and based on the LLM output, configure a smart contract.

The application relates to the technical field of artificial intelligence, and provides a large model prompt word construction method, device, equipment, medium and program product, the method comprises the following steps: extracting query content and a business scene identifier from a user request; based on the business scene identifier, a target prompt word template is matched from a prompt word template database; and based on an intention category identifier associated with the query content and the target prompt word template, a large model prompt word is constructed. The large model prompt word construction method provided by the application can match a target prompt word template from a prompt word template database based on a business scene identifier, and can construct a large model prompt word in combination with an intention category identifier associated with query content, can dynamically construct a large model prompt word that is adapted according to real-time user intention and a business scene, has high flexibility, and can realize unified dynamic construction of prompt words for multiple businesses through scene-based adaptation and accurate intention guidance, thereby improving the expansibility and adaptability of business processing.

A method for training a neural network, comprising receiving a multitude of images of a driver's field of vision, generating depth information, a driver gaze probability, and a known object identifier for each of the multitude of images, estimating a probability of an unknown object within each of the multitude of images in response to the depth information, the driver gaze probability, and the known object identifier, generating a multitude of annotated images in response to annotating each of the multitude of images, which exhibit the probability that the unknown object exceeds a threshold probability to identify the unknown object, wherein each of the multitude of annotated images is annotated to identify the unknown object, and training the neural network in response to the multitude of annotated images.

This application discloses an method for displaying an interface and apparatus, an electronic device, a computer-readable storage medium and a computer program product, and relates to the field of computer technologies. The method includes: displaying an event reward interface, and displaying, on the event reward interface, a reward identifier of at least one stage in an event, the event including at least two stages, and each stage including at least two sub-stages; and displaying a reward identifier of a sub-stage within a first target stage in response to a reward identifier of the first target stage being selected, the first target stage being any one of the at least two stages included in the event, and the reward identifier of the sub-stage being configured for representing a reward allowed to be collected after the sub-stage is completed.

This document discloses a method and apparatus for product recommendation using an external computing device. A data capture apparatus may include an imaging component and a prediction controller connected to a host device. The data capture apparatus may be configured to: capture images of objects in one or more fields of view; provide the generated image data associated with the images to an object prediction application deployed on the prediction controller; identify one or more aspects of the objects via the object prediction application; generate object candidate data corresponding to the objects from the identification via the object prediction application; generate object identifier data for each object candidate in the object candidate data; and / or transmit the object candidate data and / or object identifier data to the host device via a scanner terminal of the host device.

Techniques for associated narrative based transcription speaker identification are provided. A narrative of an incident is received at a computing device. The narrative describes an incident. An identification of at least one person involved in the incident is extracted from the narrative. The identification includes a specific identifier for the at least one person. Semantic information is extracted from the narrative. A transcript of media capturing the incident is received at the computing device. The transcript includes a generic identifier for at least one speaker whose speech was transcribed. The generic identifier for the at least one speaker whose speech was transcribed is correlated with the identification based on the semantic information. The generic identifier for the at least one speaker in the transcript is replaced with the specific identifier included in the identification.

The embodiment of the present application provides a system installation abnormality processing method, which is applied to a computer. The system installation abnormality processing method firstly acquires an assembled computer; then judges whether a system hard disk of the computer exists an installation abnormality condition through a power-on test, obtains a target system hard disk with normal installation and an interface identifier of the target system hard disk; finally matches the interface identifier of the target system hard disk with the target system hard disk in position, obtains a path corresponding to the target system hard disk, and selects the path to install a system.

Disclosed herein are system, method, and computer program product embodiments for allowing completion of cardless transactions at a kiosk using an encoded identifier for that kiosk. A method can include obtaining, by a mobile device, an identifier uniquely identifying a kiosk and additional information using an image displayed by the kiosk, each of the identifier and the additional information being encoded in the image, the identifier being configured for pairing the kiosk to the transaction in the event the user is authenticated with the institution and the additional information being configured for directing, via the mobile device, the user to additional services to complete a transaction using the kiosk in the event the user of the mobile device is not authenticated with the institution. The method can include transmitting, by the mobile device, a request to complete the transaction at the kiosk, the request including the identifier.

Systems and methods for testing user information are provided. The system may include a memory and processor, wherein the memory stores instructions for the processor to execute, including: receiving information about a user, the information about the user including a user identifier (ID); receiving a testing request including a test rule, information about a database, and a data source in the database. The processor may be configured to retrieve the data source including a plurality of employee identifiers (IDs) from the database, combine the information about the user and the data source using a data join scheme to obtain a joint user data, the joint user data including one of the plurality of employee IDs corresponding to the user, search the user ID in the joint user data to obtain a search result, and generate a test result based on the search result and the test rule.

Systems and methods for verifying the rendering of video content on information resources are provided herein. A server can receive, from a target client device, a tracking message purporting to relate to delivery of a target content item; determine whether the tracking message contains an identifier of a sending device that sent the tracking message; determine whether the sending device and the target client device are the same device; if the sending client device and the target client device are the same device: recover, from the tracking message, information about at least a portion of a frame of a content item processed by a trusted platform module of the client device; and compare the at least a portion of the frame of the content item processed by a trusted platform module of the client device with a target content item.

Methods for performing user authentication based on a similarity scoring technique for devices, such as head-mounted display devices, are disclosed. An image may be captured of an eye and may then be transformed into an iris feature representation. A similarity scoring technique may be determined based on discrimination factors of the iris feature representation and / or discrimination factors of one or more reference iris feature representations associated with a user identifier (ID). The similarity scoring technique may produce a similarity score based on applying a selected or modified scoring algorithm to the iris feature representation and the one or more reference iris feature representations. The similarity score may be compared to a threshold to provide an indication of whether the respective representations constitute a match. An authentication operation based on the user ID and the indication may be performed.

Systems, methods, apparatus, and articles of manufacture to facilitate discovery and remote configuration of content for playback via a multimedia playback network are disclosed. An example method includes facilitating identification of multimedia content being played, the identification including at least one of a content identifier associated with the content and the content itself. An example method includes relaying at least one of the content identifier and the content to a playback system located remotely from a location of the multimedia content playback, at least one of the content identifier and the content remotely added for playback at the playback system.

A networked system generates virtual identifiers for network entities to identify interactions of these entities with other entities in the network. These virtual identifiers are generated upon detecting trigger events. Upon the detection of an event that triggers the generation of a virtual identifier, the networked system seeks a virtual identifier from an account management system. This virtual identifier serves as a unique identifier associated with the user but that represents an account that the user is authorized to use. The system associates the virtual identifier with aspects of the triggering event, such as the user linked with the trigger event or the event itself. Consequently, when the system detects an interaction bearing the virtual identifier, the system can associate the interaction with the user who initiated the interaction.

The application relates to the technical field of deep learning compilation, and provides a method, device, equipment and medium for converting an MLIR file into a PyTorch file. The method comprises the following steps: obtaining an MLIR file, extracting data information and operation information in the MLIR file; retaining original identifiers of the data information and converting data types of the data information into Tensor data types in a PyTorch file; constructing a dependency relationship between operations according to a front-back order relationship between the operations; converting operation types in the MLIR file into operation types in the PyTorch file according to a conversion relationship between the PyTorch file and the MLIR file; and forming the PyTorch file according to the converted data types, the dependency relationship between the operations and the converted operation types. The method can equivalently convert the MLIR file into the corresponding PyTorch file.

The application relates to the technical field of data processing, and discloses a network public opinion hotspot evaluation system based on sentiment analysis, which comprises the following modules: a data analysis module, which is used for receiving an interactive flow extraction identifier and text and calculating a basic sentiment polarity value; a window control module, which outputs a current time window span based on a topological entropy gradient of a previous period; a topological layering module, which constructs a local directed graph to calculate a global topological entropy, and takes a shortest path hop count as a topological depth; a polarization rate calculation module, which allocates and calculates a variance of the polarity value according to the topological depth and outputs a sentiment polarization rate; and a comprehensive evaluation module, which combines a word frequency, the sentiment polarization rate and an activation function to output a comprehensive hotness evaluation value. The application adaptively adjusts data truncation according to network public opinion fluctuation, prevents feature dilution through spatial layering sentiment analysis, and automatically peels off abnormal concurrent flow based on a topological base, so that the hotspot evaluation is real and objective.

Methods and systems for dynamic references for automation rules in collaboration platforms are described. The method may include causing display of a rule builder graphical user interface, including a trigger selection window for candidate trigger components for an automation rule. In response to selecting a trigger component, a first graphical element representing is displayed. A second user input selects a first action component configured to generate an in-process electronic document associated with a document space of existing documents or a parent electronic document. A third user input selects a second action component for the automation rule, with an action component editing window to receive an in-process identifier for the in-process electronic document. A service is generated on the collaboration system that performs an operation in response to an event satisfying a trigger component criteria, the operation corresponding to the first and second action components, and utilizing the in-process identifier.

The application discloses a fish population counting method, device, equipment and medium, comprising: recognizing an image frame sequence preprocessed according to motion and environment data to obtain object and state information, assigning an identifier to the object in the first frame and writing the identifier into a presequence frame set, obtaining a first object and a second object according to the state information of the object in the presequence frame set and a target frame, the first object inheriting the identifier, the second object being reassigned the identifier, writing the target frame into the presequence frame set, taking an image frame adjacent to the target frame as a new target frame, returning to obtain the state information of the object in the presequence frame set and the target frame until all the image frames are traversed, verifying the object corresponding to the identifier according to the motion direction of the object in the recording frame corresponding to the identifier, and obtaining the number of fish populations according to the verification result of the fish. The application can be applied to the field of fish population monitoring, the accuracy of fish population counting is improved by fusing environment and device data and introducing motion direction consistency verification.