In order to improve the effect of higher English teaching, this paper builds a higher English education system based on Internet of Things technology. The optimization aim of this study is to provide an online DRX parameter optimization technique that is compatible with the RRC protocol architecture. This work employs algorithms based on reinforcement learning to accomplish parameter optimization and dynamic control by selecting optimal DRX parameters and dynamically configuring them via decision-making processes. Furthermore, this article enhances the Internet of Things algorithm and applies it to the higher English education system that this study constructs. Furthermore, this study combines the real demands to develop the functional structure module of the higher English education system, constructs the higher English education system based on the Internet of Things system, and tests the performance of the system constructed in this paper. Finally, the system structure performance verification is carried out through mathematical statistics. The research results show that the system constructed in this paper has a good teaching effect.
Название публикации (dc.title) | Internet of Things Application of Intelligent and Innovative Learning Strategies in the Higher English Education System |
Автор/ы (dc.contributor.yazarlar) | Jingxiu Shi, Zhongkun Hou, Kaza Mojtahe |
Вид публикации (dc.type) | Makale |
Язык (dc.language) | İngilizce |
Год публикации (dc.date.issued) | 2022 |
Национальный/Международный (dc.identifier.ulusaluluslararasi) | Uluslararası |
Источник (dc.relation.journal) | Security and Communication Networks |
Том/№ (dc.identifier.volume) | 2022 |
Страница (dc.identifier.startpage) | Article Number: 2213207 |
ISSN/ISBN (dc.identifier.issn) | ISSN: 1939-0114; Online ISSN: 1939-0122 |
Издатель (dc.publisher) | Hindawi Publishing Corporation |
Базы данных (dc.contributor.veritaban) | Web of Science Core Collection |
Базы данных (dc.contributor.veritaban) | Hindawi |
Базы данных (dc.contributor.veritaban) | Scopus |
Вид индекса (dc.identifier.index) | SCI Expanded |
Вид индекса (dc.identifier.index) | Scopus |
Импакт-фактор (dc.identifier.etkifaktoru) | 1,968 / 2021-WOS / 5 Year: 2,079 |
Резюме (dc.description.abstract) | In order to improve the effect of higher English teaching, this paper builds a higher English education system based on Internet of Things technology. The optimization aim of this study is to provide an online DRX parameter optimization technique that is compatible with the RRC protocol architecture. This work employs algorithms based on reinforcement learning to accomplish parameter optimization and dynamic control by selecting optimal DRX parameters and dynamically configuring them via decision-making processes. Furthermore, this article enhances the Internet of Things algorithm and applies it to the higher English education system that this study constructs. Furthermore, this study combines the real demands to develop the functional structure module of the higher English education system, constructs the higher English education system based on the Internet of Things system, and tests the performance of the system constructed in this paper. Finally, the system structure performance verification is carried out through mathematical statistics. The research results show that the system constructed in this paper has a good teaching effect. |
URL (dc.rights) | https://www.hindawi.com/journals/scn/2022/2213207/ |
DOI (dc.identifier.doi) | 10.1155/2022/2213207 |
Факультет / Институт (dc.identifier.fakulte) | Mühendislik Fakültesi |
Кафедра (dc.identifier.bolum) | Bilgisayar Mühendisliği Bölümü |
№ регистрации (dc.identifier.kayitno) | BL6DAB40B5 |
Дата регистрации (dc.date.available) | 2022-05-25 |
Заметка (Год публикации) (dc.identifier.notyayinyili) | April 2022 |
Wos No (dc.identifier.wos) | WOS:000793374700001 |
Тематический рубрикатор (dc.subject) | of-things |
Тематический рубрикатор (dc.subject) | technologies |