公开(公告)号：US20170180924A1

公开(公告)日：2017-06-22

申请号：US15301722

申请日：2015-12-21

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Chenyin SHEN

IPC: H04W4/02 ,  G06T7/70

CPC classification number: H04W4/02 ,  G01C21/3602 ,  G01S19/48 ,  G06T7/70

Abstract: The present disclosure provides a terminal positioning method for a positioning server. The method includes: receiving image data transmitted by a target terminal, obtaining target feature information based on the image data, wherein the target feature information represents an environment feature of the target terminal, looking up a table of predetermined correspondences between pieces of feature information and pieces of location information, so as to determine target location information corresponding to the target feature information, and transmitting the target location information to the target terminal. According to the present disclosure for terminal positioning, more accurate target location information may be obtained to improve the positioning accuracy and reliability.

公开(公告)号：US20210233667A1

公开(公告)日：2021-07-29

申请号：US17228502

申请日：2021-04-12

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Zhenzhong ZHANG ,  Hui LI ,  Chenyin SHEN

IPC: G16H70/40 ,  G16H20/10

Abstract: A method for processing a drug-disease relevance relation includes receiving drug information; analyzing the drug information and different disease information to obtain a disease in different diseases in the different disease information that has a relevance relation with a drug in the drug information, the relevance relation including a therapeutic relation between the drug and the disease and/or a side-effect relation between the drug and the disease; and outputting the disease having the relevance relation with the drug.

公开(公告)号：US20180087916A1

公开(公告)日：2018-03-29

申请号：US15540245

申请日：2016-11-04

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Chenyin SHEN

IPC: G01C21/34 ,  G01C21/36 ,  G08G1/0967 ,  G08G1/0968

CPC classification number: G01C21/3469 ,  G01C21/3492 ,  G01C21/3667 ,  G01C21/3679 ,  G01C21/3691 ,  G08G1/0967 ,  G08G1/096827 ,  G08G1/096833 ,  G08G1/09685 ,  G08G1/096866

Abstract: The disclosure provides an intelligent fuel prompt device and method, wherein the device comprises a fuel quantity sensor configured to obtain fuel consumption information of a vehicle; a GPS module configured to obtain position information of the vehicle; a central processing unit configured to obtain reachable range information of the vehicle according to the position information and fuel consumption information of the vehicle; and a prompt module configured to prompt with respect to the reachable range information of the vehicle. As such, a user can be fully aware of the distance that the vehicle can travel with the remaining fuel quantity, and effective prompt of the fuel quantity is realized

公开(公告)号：US20190035494A1

公开(公告)日：2019-01-31

申请号：US15952582

申请日：2018-04-13

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Zhenzhong ZHANG ,  Hui LI ,  Chenyin SHEN

IPC: G16H20/10 ,  G06F17/16

Abstract: A terminal for analyzing a drug-disease relevance relation includes a transceiver and a processor. The transceiver is configured to receive drug information, disease information and drug-disease relevance relation information. The processor is configured to construct a pharmacodynamic relation model based on the drug information, the disease information and the drug-disease relevance relation information.

公开(公告)号：US20180068074A1

公开(公告)日：2018-03-08

申请号：US15685014

申请日：2017-08-24

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Chenyin SHEN

IPC: G06F19/00 ,  G06F17/27 ,  G10L15/18 ,  G10L15/22

CPC classification number: G16H10/60 ,  G06F17/2785 ,  G06F19/321 ,  G10L15/1815 ,  G10L15/22 ,  G10L15/26 ,  G16H15/00 ,  G16H30/40

Abstract: An embodiment of the present disclosure provides a method and apparatus of generating electronic medical record information, which relates to the field of digital medical technology. The method includes: retrieving a corpus of a target object from a pre-stored database; acquiring voice information of a conversation during a consultation of a user, the voice information comprising at least one of real-time voice information and recorded voice information; performing voice recognition on the voice information according to the corpus, to obtain a voice recognition result; and performing semantic analysis on the voice recognition result, and generating object state information of the target object in an electronic medical record.