An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks

Fang, Fan; Chu, Shu-Chuan; Chen, Lin; Zhao, Huiqi

doi:10.1080/02664763.2021.1929089

Cited by 26 publications

(10 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Figure 3, it can clearly be seen that teachers and students use textbooks issued by the school for after-school learning, so the teaching resources of Korean language teaching in domestic colleges and universities are very limited. In addition, the Korean textbooks of various colleges and universities are the same, which is the same every year, and there is no innovation in the textbooks, nor does it take into account whether the textbooks are suitable for the education of current college students [12]. Since Korean majors enter colleges and universities, they have been bound by the traditional education model, blindly adopting rigid learning methods to learn Korean and rote memorization, and plunge into language learning, regardless of other learning methods.…”

Section: Existing Korean Language Teaching In Colleges Andmentioning

confidence: 99%

The Application of Wireless Sensor Technology of Internet of Things in Korean Language Teaching

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

The Internet of Things sensor technology network can be regarded as consisting of three parts: data acquisition network, data distribution network, and control management center. Sensor technology has the comprehensive processing ability to obtain various information signals, and the technology is integrated into the sensor equipment, so that the sensor technology is connected to form a sensor network with comprehensive information processing capability, which has been widely used in foreign language teaching in recent years. This paper analyzes the shortcomings of traditional Korean language teaching methods in the new situation in detail. It starts from the actual situation and focuses on stimulating students’ interest and proposes a Korean language teaching method based on the Internet of Things wireless sensor technology. This article focuses on analyzing the application of the wireless sensor technology of the Internet of Things in Korean language teaching and applies this method in practical teaching. It verifies the feasibility and effectiveness of the technology for Korean language teaching through the analysis and comparison of the collected data. In this paper, the experiment shows that the application of the wireless sensor technology of the Internet of Things to the Korean language teaching can improve the students’ grades by about 30%. This stimulates students’ interest in learning very well and is of great help to improve students’ learning ability, oral communication ability, and Korean thinking ability, which stimulates students’ interest in learning and improves students’ Korean listening, speaking, reading, writing, and comprehensive learning abilities.

show abstract

Section: Existing Korean Language Teaching In Colleges Andmentioning

confidence: 99%

The Application of Wireless Sensor Technology of Internet of Things in Korean Language Teaching

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…It is defined by learning the fault samples [ 8 ]. The types of methods mainly include neural network-based (NN) models, extreme learning machine-based models and extremely randomized trees [ 9 , 10 , 11 , 12 , 13 , 14 , 15 ]. An automatic fault diagnosis model based on back propagation neural network (BPNN) was proposed by Swain, R. R. Khilar, P. M. et al.…”

Section: Related Workmentioning

confidence: 99%

A wireless sensor network node fault diagnosis model based on belief rule base with power set

Sun

Zhu

et al. 2022

Heliyon

View full text Add to dashboard Cite

“…However, traditional electronic devices cannot meet the growing needs of people. With the rapid development of IoT, sensors joined IoT to form wireless sensor networks (WSNs) [11][12][13], meeting people's needs for work, production, study, entertainment, and other aspects. Sensors are ubiquitous in everyday life.…”

Section: Introductionmentioning

confidence: 99%

PSAP-WSN: A Provably Secure Authentication Protocol for 5G-Based Wireless Sensor Networks

Li¹,

Liu²,

Kumari³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

View full text Add to dashboard Cite

Nowadays, the widespread application of 5G has promoted rapid development in different areas, particularly in the Internet of Things (IoT), where 5G provides the advantages of higher data transfer rate, lower latency, and widespread connections. Wireless sensor networks (WSNs), which comprise various sensors, are crucial components of IoT. The main functions of WSN include providing users with real-time monitoring information, deploying regional information collection, and synchronizing with the Internet. Security in WSNs is becoming increasingly essential because of the across-the-board nature of wireless technology in many fields. Recently, Yu et al. proposed a user authentication protocol for WSN. However, their design is vulnerable to sensor capture and temporary information disclosure attacks. Thus, in this study, an improved protocol called PSAP-WSN is proposed. The security of PSAP-WSN is demonstrated by employing the ROR model, BAN logic, and ProVerif tool for the analysis. The experimental evaluation shows that our design is more efficient and suitable for WSN environments.

show abstract

An optimized machine learning technology scheme and its application in fault detection in wireless sensor networks

Cited by 26 publications

References 37 publications

The Application of Wireless Sensor Technology of Internet of Things in Korean Language Teaching

The Application of Wireless Sensor Technology of Internet of Things in Korean Language Teaching

A wireless sensor network node fault diagnosis model based on belief rule base with power set

PSAP-WSN: A Provably Secure Authentication Protocol for 5G-Based Wireless Sensor Networks

Contact Info

Product

Resources

About