公开(公告)号：US20170337492A1

公开(公告)日：2017-11-23

申请号：US15160713

申请日：2016-05-20

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： David S.C. Chen ,  Kuo-Liang Chou ,  June-Ray Lin ,  Pohsun Tseng ,  Der-Joung Wang

IPC: G06Q10/06 ,  G06Q10/10

CPC classification number: G06Q10/0633 ,  G06Q10/06316 ,  G06Q10/109

Abstract: Computing systems, methods and management tools for scheduling, optimizing and completing a dynamically adjustable workflow process. The computing systems, methods and management tools being capable of evaluating the availability of resources available for completing the workflow process and ascertaining the reliability of the resources in order to pre-generate a workflow process schedule. The computing systems, methods and management tools are further able to communicate with the assigned resources to incrementally negotiate and receive approval for proposed improvements to the pre-generated workflow schedule prior to implementation of the workflow schedule in order to optimize the cycle time of the process and increase probability of successfully completing the workflow process. The computing systems, methods and management tools may dynamically track the due dates for completing particular tasks and generate amended workflow process schedules in the event a failure occurs.

公开(公告)号：US20240264659A1

公开(公告)日：2024-08-08

申请号：US18164740

申请日：2023-02-06

Applicant: International Business Machines Corporation

Inventor： June-Ray Lin ,  Jia Mao ,  Nuo Xu ,  Yuan Li

IPC: G06F3/01 ,  G06F3/0346

CPC classification number: G06F3/011 ,  G06F3/0346

Abstract: Embodiments are related to providing external device communication and localization for virtual reality based equipment using radio-frequency identification (RFID). At least two receivers and a transmitter are used to recognize an external device and determine a location of the external device relative to the headset, based on tags coupled to the external device. A three-dimensional (3D) model is downloaded of the external device based on information received by the at least two receivers from the tags. A location of the external device is matched to the 3D model based on the tags. A virtual image is displayed of the external device corresponding to the location of the external device.

公开(公告)号：US20240104207A1

公开(公告)日：2024-03-28

申请号：US17934640

申请日：2022-09-23

Applicant: International Business Machines Corporation

Inventor： June-Ray Lin ,  Narayana Aditya Madineni

IPC: G06F21/56 ,  G06N7/00

CPC classification number: G06F21/566 ,  G06N7/005 ,  G06F2221/034

Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to generating a security threat prediction. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a prediction component that analyzes a public data graph model to generate a primary security threat determination, wherein the prediction component can further generate a secondary security threat prediction based on the primary security threat determination and on a proprietary data graph model, wherein the proprietary data graph model comprises proprietary security threat data from a source, and wherein the proprietary security threat data has been scrubbed of source-identifiers. An obtaining component can obtain an agreement from the source to share the proprietary security threat data with another source that has access to the proprietary data graph model.

公开(公告)号：US11675856B2

公开(公告)日：2023-06-13

申请号：US17320124

申请日：2021-05-13

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： June-Ray Lin ,  Nan Chen ,  Ju Ling Liu ,  Li Na Wang ,  Shun Xian Wu

IPC: G06F16/951 ,  G06F18/24 ,  G06N20/10 ,  G06F18/213 ,  G06F18/214

CPC classification number: G06F16/951 ,  G06F18/213 ,  G06F18/214 ,  G06F18/24 ,  G06N20/10

Abstract: Content for products can be identified. For each identified content, at least one class to which the first content pertains can be predicted using an artificial intelligence multiclass model. For each identified first content that corresponds to the at least one class, a support level of the product with regard to at least one class can be predicted using artificial intelligence binary class models. For each identified product, data indicating the product and the support level of the product with regard to the at least one class can be added to a data table. A product features map based on the data indicating the products and a support level of each product with regard to the at least one class can be generated and output.

公开(公告)号：US11645566B2

公开(公告)日：2023-05-09

申请号：US16812743

申请日：2020-03-09

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： June-Ray Lin ,  Charlie Wu ,  Cheng-Ta Lee

IPC: G06N7/00 ,  G06F16/901 ,  G06F16/245 ,  G06N7/01

CPC classification number: G06N7/01 ,  G06F16/245 ,  G06F16/9024

Abstract: Embodiments for graph computing are provided. A graph including a plurality explicit nodes and at least one implicit node is generated. A first of the plurality of explicit nodes and a second of the plurality of explicit nodes are traversed between utilizing deductive reasoning. A third of the plurality of explicit nodes and a fourth of the plurality of explicit nodes are traversed between through the at least one implicit node utilizing inductive reasoning.

公开(公告)号：US20220382859A1

公开(公告)日：2022-12-01

申请号：US17330098

申请日：2021-05-25

Applicant: International Business Machines Corporation

Inventor： Ying-Chen Yu ,  June-Ray Lin ,  Ci-Hao Wu ,  Pao-Chuan Liao

IPC: G06F21/55 ,  G06F21/54 ,  G06F21/56 ,  G06F21/60

Abstract: An approach to workflow management in response to a detected security incident in a computer system. The approach may include an inference driven response based on prior artifacts. The inference driven response may predict the condition of the system and the outcomes of actions in response to the security incident. The predictions made by the inference drive response may be based on a machine learning model. The inference driven response may pause or prevent scheduled actions of the system based on the predictions. The inference driven response may continue to monitor the system and dynamically update its predictions for the condition of the system. In response to the updated predictions, the inference driven response may cancel or execute the previously scheduled actions of the system.

公开(公告)号：US11449927B2

公开(公告)日：2022-09-20

申请号：US16561889

申请日：2019-09-05

Applicant: International Business Machines Corporation

Inventor： Chun-Yen Chen ,  Jian-Ren Chen ,  Su-Chen Huang ,  June-Ray Lin

IPC: G06Q30/06 ,  G06Q30/08 ,  G06Q20/18

Abstract: Device and method for implementing a vehicle sharing reward program. The present invention provides for a cost-sharing plan where two or more constituencies share the rental cost associated with a user who rents a shared vehicle in a vehicle sharing program. This results in a reimbursement of the rental cost to the user. When enrolling in the vehicle sharing reward program, the user is given a health prescription to adhere to on any trip taken while using a shared vehicle. On a selected travel route, the user visits a vehicle sharing station, where the sharing station includes a kiosk that the user uses to check-in and upload relevant information such as distance traveled and locations visited. By complying with the health prescription issued to the user, the user can have its total rental cost reimbursed.

公开(公告)号：US20220101148A1

公开(公告)日：2022-03-31

申请号：US17031898

申请日：2020-09-25

Applicant: International Business Machines Corporation

Inventor： June-Ray Lin ,  Qin Qiong Zhang ,  Wu Song Fang ,  Jie Yang ,  Yu Li ,  Li Juan Long

IPC: G06N5/00 ,  G06N20/20 ,  G06N5/04

Abstract: Some embodiments of the present invention are directed towards techniques for building and using machine learning enhanced trees for automated solution determination in a technical support context. Historical technical support records with associated problems, actions and results are received and clustered. A solution determination tree is constructed from the clustered actions, and a machine learning model is trained to predict which action will lead to a solution based on an accumulated data set including a problem and subsequent results from previous actions. Using the solution determination tree and the machine learning model, classes of actions are recommended based on accumulated data for an incoming support request/problem or a result resulting from a executing a previously recommended action.

公开(公告)号：US11182545B1

公开(公告)日：2021-11-23

申请号：US16924869

申请日：2020-07-09

Applicant: International Business Machines Corporation

Inventor： Yi-Chun Tsai ,  Ying-Chen Yu ,  June-Ray Lin ,  Pei-Hua Su

IPC: G06F17/00 ,  G06F40/177 ,  G06N3/08 ,  G06F40/169 ,  G06F40/295 ,  G06N3/04

Abstract: A first natural language document is received. The document includes unstructured data and a first table structure that includes a plurality of first table entries. The first table structure is identified based on the document. The first table structure is extracted from the document in response to the identifying. A first machine learning output is generated based on a first machine learning model and from the document. A second machine learning output is generated based on a second machine learning model and from the first table structure. The first output of the document and the second output of the first table structure are combined.

公开(公告)号：US20200334582A1

公开(公告)日：2020-10-22

申请号：US16390155

申请日：2019-04-22

Applicant: International Business Machines Corporation

Inventor： Ying-Chen Yu ,  June-Ray Lin ,  Yi-Chun Tsai ,  Tzu-Ching Kuo

IPC: G06Q10/02 ,  G06Q10/04

Abstract: In an approach location allocation planning, one or more computing units determine at least one location matching model for a first current participating entity of a plurality of current participating entities of a current event, wherein an output of the location matching model indicates a matching degree between the first current participating entity and a current event location. The one or more computing units create at least one initial location allocation plan for the plurality of current participating entities of the event based, at least in part, on the at least one location matching model. The one or more computing units receive feedback from at least one of the plurality of current participating entities. Responsive to the feedback indicating acceptance of the initial location allocation plan, the one or more computing units determine a final location allocation plan based on the initial location allocation plan.