Compliance Fabric for Enterprise UI/UX Standards

    公开(公告)号:US20240256758A1

    公开(公告)日:2024-08-01

    申请号:US18103642

    申请日:2023-01-31

    摘要: Deep learning in the form of a deepfakes fabricator can be utilized to analyzed proposed documents, images, webpages etc. in order to ensure compliance with UI/UX standards. A rover component can scan and compartmentalize detected objects. A deepfakes fabricator can identify source datasets corresponding to detected objects and transform the objects so that they comply with standards stored in a web integrant. Resulting objects may be combined into an integrated image and an operational synthetic webpage may be created. Similarly, the disclosed deep-learning and other processes may operate in reverse and utilize an approved document, image, website, etc. in order automatically create (in whole or in part) a set of UI/UX standards.

    Systems and Methods for Extracting Data Views from Heterogeneous Sources

    公开(公告)号:US20240241882A1

    公开(公告)日:2024-07-18

    申请号:US18622213

    申请日:2024-03-29

    申请人: Sonos, Inc.

    摘要: Systems and methods for extracting data views from heterogeneous data sources in accordance with embodiments of the invention are illustrated. One embodiment includes a method to be performed by a computing system. The method includes receiving first data comprising one or more first data fields associated with corresponding first values, receiving second data comprising one or more second data fields associated with corresponding second values, wherein at least one of the one or more second data fields corresponds to at least one of the one or more first data fields. The method further includes associating one or more of the one or more first data fields and one or more of the one or more second data fields to one or more standard data fields and generating a data view based on the one or more standard data fields.

    DATA CATEGORIZATION USING TOPIC MODELLING
    4.
    发明公开

    公开(公告)号:US20240233427A1

    公开(公告)日:2024-07-11

    申请号:US18153046

    申请日:2023-01-11

    摘要: Method includes obtaining historical document images including text that correspond to different document classes; and generating a dictionary using text of the historical document images. The dictionary includes base words occurring with a greatest frequency in each document class. The base words are extracted from the text of the historical document images and arranged in datasets by a document class, where each dataset includes the base words of a same document class that occur with the greatest frequency within that document class. Trie structure is generated using the base words of the datasets that occur with a greatest frequency in each dataset. The trie structure includes internal nodes including root node and leaf nodes in which keys corresponding to the base words occurring with the greatest frequency in each dataset are respectively stored in predefined order. The trie structure is searchable in the predefined order starting with the root node.

    Adaptive Card Generation Method, Terminal Device, and Server

    公开(公告)号:US20240232511A1

    公开(公告)日:2024-07-11

    申请号:US18008061

    申请日:2021-04-15

    摘要: A method for adaptively generating a card style and a terminal device. The terminal device may be a mobile phone, a tablet computer, a wearable device, a vehicle-mounted device, or the like. In the method, a plurality of sets of standard components and standard styles are provided based on a plurality of dimensions such as a terminal device type, a device version, and an operating system version. In a card development process, recompilation is performed based on a card source file and a differentiated style file, to generate cards of different styles. Alternatively, based on a card style caching mechanism, a card engine caches a target style file required by the device, then replaces an original style file with the target style file, and presents, to a user through recompilation and rendering, a card style that meets a current device and a system.