No 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.

No abstract

Writing is an indispensable part of English comprehensive ability. It can test learners’ ability in viewpoint content, text organization, language use, and so on. In view of the many problems existing in the English writing of contemporary primary and middle school students, high school students and even college students, this paper proposes an English writing model based on random matrix. This method collects the necessary English vocabulary information through the English word database and combines the M-P law and the density spectrum value of the hybrid matrix to accurately locate students’ writing needs, clarify their writing needs, identify, and construct dynamic English compositions. The random matrix is used to judge and test the English level threshold of different students, so as to get the abnormal use of words when students write. By comparing the predicted data of students’ abnormal vocabulary with the accurate vocabulary data, different students’ writing ability is judged, and corresponding suggestions are given, and qualified writing formats are provided. The experimental results show that the English writing model based on random matrix has strong learning ability and judgment, and can better achieve one-to-one targeted teaching.