公开(公告)号：US10181976B2

公开(公告)日：2019-01-15

申请号：US15016493

申请日：2016-02-05

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Ping-Feng Wang

IPC: H04L29/08 ,  H04L12/24

Abstract: The present disclosure provides a system and a method of adjusting data collection frequency. the system includes a server, a gateway and a sensor. The gateway is communicated with the server for data transmission. The sensor is configured to transmit the sensor data to the gateway, wherein the gateway transmits the sensor data to the server based on a first frequency, and is triggered to transmit the sensor data and a historical sensor data based on a second frequency in case the server or the gateway detects an alert event when processing the sensor data, wherein the historical sensor data is related to the alert event, so that the server analyzes the historical sensor data to get a diagnostics on the alert event, wherein the second frequency is higher than the first frequency.

公开(公告)号：US20170222866A1

公开(公告)日：2017-08-03

申请号：US15016493

申请日：2016-02-05

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Ping-Feng Wang

IPC: H04L12/24 ,  H04L29/08

CPC classification number: H04L41/069 ,  H04L41/0645 ,  H04L41/0681 ,  H04L43/024 ,  H04L67/12 ,  H04L67/2819

Abstract: The present disclosure provides a system and a method of adjusting data collection frequency. the system includes a server, a gateway and a sensor. The gateway is communicated with the server for data transmission. The sensor is configured to transmit the sensor data to the gateway, wherein the gateway transmits the sensor data to the server based on a first frequency, and is triggered to transmit the sensor data and a historical sensor data based on a second frequency in case the server or the gateway detects an alert event when processing the sensor data, wherein the historical sensor data is related to the alert event, so that the server analyzes the historical sensor data to get a diagnostics on the alert event, wherein the second frequency is higher than the first frequency.

公开(公告)号：US11275387B2

公开(公告)日：2022-03-15

申请号：US16216341

申请日：2018-12-11

Applicant: Institute For Information Industry

Inventor： Ping-Feng Wang ,  Jong-Yih Kuo ,  Chen-Ti Wang

IPC: G05D1/02 ,  G07C5/00

Abstract: A coach apparatus and a cooperative operation controlling method for a coach-driven multi-robot cooperative operation system are provided. The coach apparatus connects with a plurality of action robots and receives state space data from each action robot. The coach apparatus divides the action robots into a plurality of action group. The coach apparatus reduces the state space data of the action robots in each action group to generate reduced state space data of each action group, and trains and builds a cooperative model based on the reduced state space data. In addition, for each action group, the coach apparatus selects a group strategy based on the reduced state space data, and transmits the cooperative model and the group strategy to the action robots in the action group to make them carry out an action mission according to the cooperative model and the group strategy.

公开(公告)号：US10372719B2

公开(公告)日：2019-08-06

申请号：US15369902

申请日：2016-12-06

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Ping-Feng Wang ,  Shin-Mu Tseng ,  Chu-Feng Li

IPC: G06F7/00 ,  G06F17/30 ,  G06F16/2458 ,  G06F17/00

Abstract: An episode mining method that includes the steps outlined below is provided. Real-time operation parameters are retrieved. At least one incremental candidate pattern in every incremental time period is generated, wherein the incremental candidate pattern is an incremental episode including a set of events of the real-time operation parameters and having an incremental occurrence frequency larger than an incremental threshold. At least one batch candidate pattern in every batch time period is generated, wherein the batch candidate pattern is a batch episode including a set of events of the real-time operation parameters within the batch time period and having a batch occurrence frequency larger than a batch threshold. At least one newly-add candidate episode is determined from the incremental candidate pattern and the batch candidate pattern having an occurrence frequency larger than a determine threshold. At least one detection rule is generated based on the newly-add candidate episode.