公开(公告)号：US10798158B1

公开(公告)日：2020-10-06

申请号：US16702570

申请日：2019-12-04

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Chih-Hsiang Ho ,  Chih-Hang Wang ,  De-Nian Yang

IPC: H04L12/24 ,  H04L29/08 ,  H04L12/26 ,  G06F1/28

Abstract: A network system includes Internet of Things (IoT) devices, computation server, and gateways. At least one of the computation servers is configured to: tag, according to a signal quality of a signal of the IoT devices, the IoT devices as first devices and second devices; compute a device number of the first devices connecting with the gateways, and while the gateways are connected to the second devices, compute a gateway number the second devices capable of connecting to; compute a load index associated with the device number and the gateway number of the gateways; compute a transmission energy consumption index of a first link between the gateways and the computation servers; select, according to the load index and the transmission energy consumption index of the gateways; and obtain a communication network, wherein the communication network comprises the first devices, the second devices, and the gateways selected.

公开(公告)号：US20170148043A1

公开(公告)日：2017-05-25

申请号：US14965631

申请日：2015-12-10

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Yi-Chun Chen ,  De-Nian Yang ,  Pei-Yu Hsieh ,  Grace Lin ,  Ya-Hui Chan

IPC: G06Q30/02

CPC classification number: G06Q30/0205 ,  G06Q30/0206 ,  G06Q30/0246 ,  G06Q30/0251 ,  G06Q30/0261

Abstract: A location based community integration matchmaking system, method and computer readable recording media for optimizing sales is provided, including: obtaining user behavior pattern in an inquired area range based on stores information and user behavioral sequential information; calculating a location based community influence degree of each user in the inquired area range toward other location based users in a community based on the user behavior pattern, the community association and behavioral information, and calculating an interest domain influence degree of each user toward each interest domain; obtaining influence diffusing degree of each user toward each interest domain based on the location based community influence and the interest domain influence degree of each user; and finding a range with large influence degree in the inquired area range for performing advertisement setting, thereby achieving optimization analysis and visitor maximization of marketing channel of brick and mortar stores in the area.