Research on Home Healthcare Management System Based on the Improved Internet of Things Architecture

Guo, Benzhen; Dong, Beibei; Zhang, Xiao; Yang, Jingjing; Wang, Zhihui

doi:10.14257/ijsh.2015.9.9.06

Cited by 4 publications

(2 citation statements)

References 10 publications

(6 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…en, the key factors, secondary factors, and irrelevant factors are analyzed. For the above problems, this paper will use the Relief-F algorithm to screen the related factors of elevator failures and get the factors that play a major role in the prediction of elevator failures [42]. e Relief-F algorithm is used to handle with multi-category problems.…”

Section: Feature Extractionmentioning

confidence: 99%

Study and Application of an Elevator Failure Monitoring System Based on the Internet of Things Technology

Yao

Jagota²,

Kumar

et al. 2022

Scientific Programming

View full text Add to dashboard Cite

To prevent the occurrence of elevator safety accidents, in this study, an Internet of things-based elevator failure monitoring system is investigated. First, it introduces the Internet of things technology, preprocesses the relevant data, and extracts the features of the elevator operation data continuously collected by the elevator sensors. The objective of this paper is to study the application of IoT in elevators. Method. The Relief-F algorithm is used to evaluate the potential influencing factors. The results show that, as the batch size increases, the accuracy rate will gradually increase, but after more than 20, the accuracy rate will decrease. When the batch size is 20, the training result is the best. It can be seen that, as the time step increases, the accuracy of the prediction will be significantly improved. When the time step is 24, the prediction accuracy is the highest; after 24, the prediction rate will decline. In the diagram of the influence of learning rate on the model, the blue line indicates that the learning rate is 1.0, the red line is 0.1, and the black line is 0.01. With the increase of the iteration times, the effect is the best when the learning rate is 0.1. This system has high research value and broad application prospects and can make up for the current lack of monitoring in the elevator industry.

show abstract

Section: Feature Extractionmentioning

confidence: 99%

Study and Application of an Elevator Failure Monitoring System Based on the Internet of Things Technology

Yao

Jagota²,

Kumar

et al. 2022

Scientific Programming

View full text Add to dashboard Cite

show abstract

“…Finally, the application domain serves as an interface that delivers application-specific services to the user, enabling the status monitoring of the IoT systems [5]. Different IoT system architectures have been proposed by different researchers over the years, and these architectures were further studied in [5]- [8]. Focusing on the communication technologies used in the IoT field, ultranarrowband networks such as Sigfox and Weightless-N [9] and spread-spectrum communication such as LoRa make communication across up to a few kilometers possible, creating low-power wide-area networks (LPWANs) that can work without the development of complex multihop topologies [10], [11].…”

Section: Introductionmentioning

confidence: 99%

A Systematic Review of Real-Time Deployments of UAV-Based LoRa Communication Network

2021

View full text Add to dashboard Cite

The term Internet of Things (IoT) has emerged in recent decades because this network revolutionizes almost every aspect of our daily life, including products such as smartphones and intelligent vehicles, and crucial tasks such as precision agriculture and environmental monitoring. Myriads of communication technologies have been developed to fulfill the two main features of the IoT: long-range transmissions and low power consumption. Long-range (LoRa) has become one of the vital parts of IoT communication. In this study, the real-time deployments of an unmanned aerial vehicle (UAV)-based LoRa communication network are systematically reviewed, with a focus on the communication setup and its reported performance. Importantly, the UAV-based LoRa communication network has a low bit rate connectivity to ensure the high reliability of connections, especially in applications that require long transmission ranges. This study provides recommendations for researchers on what research perspectives need to be explored when implementing UAVs for IoT-based LoRa communication. This study also describes publication trends related to UAV-based LoRa communication networks. A supplementary Excel file that contains the reported publications on UAV-based LoRa communication networks is included to show this publication trend.

show abstract

Smart Community Management Based on Internet of Things

Zhao¹

2022

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Research on Home Healthcare Management System Based on the Improved Internet of Things Architecture

Abstract: Abstract

Cited by 4 publications

References 10 publications

Study and Application of an Elevator Failure Monitoring System Based on the Internet of Things Technology

Study and Application of an Elevator Failure Monitoring System Based on the Internet of Things Technology

A Systematic Review of Real-Time Deployments of UAV-Based LoRa Communication Network

Smart Community Management Based on Internet of Things

Contact Info

Product

Resources

About