公开(公告)号：US20190147351A1

公开(公告)日：2019-05-16

申请号：US15829974

申请日：2017-12-03

申请人： INSTITUTE FOR INFORMATION INDUSTRY

发明人： Rong-Sheng WANG ,  Shih-Chun CHOU ,  Hong-En CHEN ,  Hsiao-Chen CHANG ,  Shun-Ju LI

IPC分类号： G06N5/02

摘要： A method and system for automatically building intelligent assistant is disclosed herein. The method includes the following operations: acquiring an intelligent assistant template; acquiring a plurality of application programming interfaces and a plurality of application programming interface files; identifying a plurality of first entities of the plurality of application programming interface files; comparing the plurality of first entity to generate a similarity value for each of a plurality of operation functions; determining the plurality of application programming interface files and the plurality of application programming interfaces corresponding thereto, respectively corresponding to each of the plurality of operation functions, according to the similarity value for the plurality of first entity; and generating an intelligent assistant according to the determined plurality of operation functions corresponding to the plurality of application programming interfaces.

公开(公告)号：US20220138560A1

公开(公告)日：2022-05-05

申请号：US17105464

申请日：2020-11-25

申请人： Institute For Information Industry

发明人： Chien-Cheng CHYOU ,  Hong-En CHEN ,  Wei-Yu CHO ,  Shih-Huan HUANG ,  Jing-Ming CHIU

IPC分类号： G06N3/08 ,  G06F30/20 ,  G06N3/04 ,  G06F11/34 ,  G06F11/30

摘要： A behavior recommendation apparatus, behavior recommendation method, and non-transitory computer readable storage medium thereof are provided. The behavior recommendation apparatus stores a digital twin model, wherein the digital twin model outputs a predicted parameter set after being inputted a behavior sequence and a monitored parameter set. The behavior sequence includes a plurality of behaviors in a first sequence and quantized data. The behavior recommendation apparatus receives the monitored parameter set and an objective, wherein the objective corresponds to a particular parameter in the monitored parameter set. The behavior recommendation apparatus generates a recommended behavior sequence according to the particular parameter, the monitored parameter set, the digital twin model, and a plurality of simulated behavior sequences and displays the recommended behavior sequence on an operation interface.

公开(公告)号：US20230135770A1

公开(公告)日：2023-05-04

申请号：US17456587

申请日：2021-11-25

申请人： INSTITUTE FOR INFORMATION INDUSTRY

发明人： Hong-En CHEN ,  Bo Lin LEE ,  Hsiao-Chen CHANG ,  Jing-Ming CHIU

IPC分类号： G06F16/176 ,  G06F40/166 ,  G06Q10/10

摘要： A synchronization management server includes a processor and a memory. The processor includes a resource control circuit, a synchronization management circuit, and an editing circuit. The resource control circuit is configured to generate an initialization page and to display an initialization page according to whether a first user identity conforms to a user with editing rights and several current editing statuses corresponding to several elements, and to generate a first post-editing message, and to set a first editing status of the first element to be locked. The synchronization management circuit is configured to determine whether to update the first editing status of the first element, and to synchronize the first editing status of the first element to several electronic devices. The editing circuit is configured to update the file. The memory is configured to store the file.

公开(公告)号：US20240127944A1

公开(公告)日：2024-04-18

申请号：US18056701

申请日：2022-11-17

申请人： INSTITUTE FOR INFORMATION INDUSTRY

发明人： Wen-Chien HUANG ,  Hong-En CHEN ,  Hsiao-Chen CHANG ,  Jing-Ming CHIU

IPC分类号： G16H40/63

CPC分类号： G16H40/63

摘要： A fatigue data generation method, comprising: obtaining, by the camera device, a target image; obtaining, by a processor, a target feature data from the target image, and inputting the target feature data to a fatigue analysis model which stored in a storage unit, wherein the fatigue analysis model comprises a plurality of reference physiological signals, a plurality of reference feature data, a plurality of reference fatigue data and a plurality of correlation parameters; and generating a target fatigue data according to the target feature data, the plurality of reference feature data and the plurality of correlation parameters.