A Study of English Reading Modality Recognition and Practice Based on Intelligent Sensor Networks

Intelligent sensor networks are a current hot topic in the field of communication and are widely used in subject education, quality education, and home security monitoring. In today’s world of increasingly diverse services and growing information needs, wireless communication systems require more in...

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Published inJournal of sensors Vol. 2022; pp. 1 - 7
Main Authors Guo, Xuan, Chen, Fengping
Format Journal Article
LanguageEnglish
Published New York Hindawi 26.08.2022
John Wiley & Sons, Inc
Subjects
Online AccessGet full text
ISSN1687-725X
1687-7268
1687-7268
DOI10.1155/2022/4292186

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Abstract Intelligent sensor networks are a current hot topic in the field of communication and are widely used in subject education, quality education, and home security monitoring. In today’s world of increasingly diverse services and growing information needs, wireless communication systems require more information to better understand and analyse the observed objects. In this context, this paper presents a study on the identification and practice of English reading modality based on intelligent sensor networks. The paper divides English reading modality into two parts: semantic modality and situational modality, and its system consists of three main modules: English reading article data collection, English article data semantic analysis, and English reading article situational picture feedback module. Finally, a practical study is carried out on the basis of this application, and it is concluded that the development and future prospects of this application are considerable.
AbstractList Intelligent sensor networks are a current hot topic in the field of communication and are widely used in subject education, quality education, and home security monitoring. In today’s world of increasingly diverse services and growing information needs, wireless communication systems require more information to better understand and analyse the observed objects. In this context, this paper presents a study on the identification and practice of English reading modality based on intelligent sensor networks. The paper divides English reading modality into two parts: semantic modality and situational modality, and its system consists of three main modules: English reading article data collection, English article data semantic analysis, and English reading article situational picture feedback module. Finally, a practical study is carried out on the basis of this application, and it is concluded that the development and future prospects of this application are considerable.
Author Guo, Xuan
Chen, Fengping
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Cites_doi 10.1109/MWC.2007.4407225
10.4018/978-1-60566-046-2.ch001
10.1145/1127777.1127848
10.1109/SURV.2008.080404
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Copyright Copyright © 2022 Xuan Guo and Fengping Chen.
Copyright © 2022 Xuan Guo and Fengping Chen. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0
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SubjectTerms Classrooms
Communication
Core curriculum
Data collection
Data processing
Education
English language
Entrance examinations
Feedback
Foreign language learning
Higher education
Knowledge
Language
Modality (Semantic)
Modules
Networks
Reading
Reading comprehension
Semantic analysis
Semantics
Sensors
Skills
Students
Teaching
Wireless communication systems
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Title A Study of English Reading Modality Recognition and Practice Based on Intelligent Sensor Networks
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