Assistive mechanism via edge device personalization

    公开(公告)号:US11525684B2

    公开(公告)日:2022-12-13

    申请号:US16690663

    申请日:2019-11-21

    摘要: A method, system, and computer program product provide navigation guidance around various object types in a vicinity of a guidance assistance device for a user by analyzing received data regarding an environment around the guidance assistance device to identify one or more entities Ei and by applying an artificial intelligence machine learning analysis to group the one or more entities Ei into corresponding categories Cj and to determine a minimum spacing distance Dmin for each of the one or more entities Ei, wherein the minimum spacing distance Dmin is a minimum distance between the guidance assistance device and the entity Ei based on the categorization Ci specified by the user, and then providing feedback to the user when any of the one or more entities Ei is within than minimum spacing distance Dmin corresponding to said entity.

    Clustering subject matter experts based on question and answer ratings

    公开(公告)号:US11409996B2

    公开(公告)日:2022-08-09

    申请号:US15825774

    申请日:2017-11-29

    摘要: Software that performs the following operations: (i) receiving descriptive information associated with a domain expert; (ii) receiving a question and a corresponding candidate answer for the question; (iii) determining a set of scoring features to be used to evaluate the candidate answer, wherein the set of scoring features includes: at least one scoring feature pertaining to the question, at least one scoring feature pertaining to the candidate answer, and at least one scoring feature pertaining to the descriptive information; (iv) receiving a score from the domain expert, wherein the score is based, at least in part, on the domain expert's evaluation of the candidate answer; (v) generating a feature vector based on the set of scoring features; (vi) cross-correlating the feature vector with the score; and (vii) clustering the domain expert with one or more other domain experts according to the cross-correlation, thereby creating a first cluster.

    Contract Analytic Binding and Provenance

    公开(公告)号:US20220198590A1

    公开(公告)日:2022-06-23

    申请号:US17132594

    申请日:2020-12-23

    IPC分类号: G06Q50/18 G06Q20/06

    摘要: A mechanism is provided to implement a contract analytic binding and provenance system. The mechanism loads contract rules for an agreement between a plurality of contract parties and creates an analytic entry per rule to form a set of analytic entries, Each analytic entry is associated with an executable analytic function. The mechanism assigns each analytic entry a directed acyclic graph vertex. The mechanism confirms alignment between the contract rules and the set of analytic entries and stores the set of analytic entries in peer ledgers associated with the plurality of contract parties. The mechanism activates the set of analytic entries responsive to confirming provenance of the peer ledgers associated with the plurality of contract parties.

    Secure device relay
    5.
    发明授权

    公开(公告)号:US11363004B2

    公开(公告)日:2022-06-14

    申请号:US16296805

    申请日:2019-03-08

    摘要: Embodiments of the present invention disclose a method, a computer program product, and a computer system for providing a secure device relay between a data collection device and a server using a smart device. The present invention comprises transmitting to a server a unique identifier corresponding to a data collection device and a digital signature corresponding to a smart device. In addition, the present invention provides for receiving from the server a key pair and an exchange configuration defining access control to data stored on the data collection device. Moreover, the present invention includes transmitting to the data collection device a public key of the received key pair and the exchange configuration.

    Optical character recognition (OCR) induction for multi-page changes

    公开(公告)号:US11335111B2

    公开(公告)日:2022-05-17

    申请号:US16921713

    申请日:2020-07-06

    摘要: Provided are techniques for OCR induction for multi-page changes. A plurality of documents of a document type are processed to generate text area data for a text area in one or more documents of the plurality of documents, where the text area data includes coordinate locations of a zone for the text area based on expansion and direction of shift of the text area. A page flow model is trained using the plurality of documents and the text area data. In response to receiving a new document comprising the text area, a scanning script is received from the page flow model, where the page flow model identifies a new zone for the text area in the new document and determines how to adjust another zone for an element in the new document. The scanning script is used to scan the new document to generate digital text.

    Cognitive building of medical condition base cartridges based on gradings of positional statements

    公开(公告)号:US11182550B2

    公开(公告)日:2021-11-23

    申请号:US16788644

    申请日:2020-02-12

    发明人: Corville O. Allen

    摘要: Mechanisms are provided that generate a knowledge data structure for a medical condition. The mechanisms parse a natural language positional statement data structure representing a natural language positional statement corresponding to a medical condition, where the natural language positional statement specifies guidance information and patient attributes indicative of patients for which an action may be performed for the medical condition. The mechanisms extract the patient attributes and a grading value associated with the natural language positional statement. The mechanisms generate at least one weight value associated with each of the patient attributes based on the grading value. The mechanisms provide the knowledge data structure, based on the extracted one or more patient attributes and the at least one weight value in association with an identifier of the action and an identifier of the medical condition, to a cognitive system that performs a cognitive operation based on the knowledge data structure.