| Autor: |
Minghua Tan |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
EURASIP Journal on Wireless Communications and Networking, Vol 2020, Iss 1, Pp 1-15 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
1687-1499 |
| DOI: |
10.1186/s13638-020-01751-z |
| Popis: |
Abstract The English teaching network system is a distant teaching based on the Web. This teaching method can stimulate students’ interests so that students can acquire knowledge voluntarily, and automatic test paper generation is one of the most important modules in the English teaching network system. This article first briefly introduces the architecture of the wireless sensor network and then gives a wireless sensor network teaching experiment system based on a genetic algorithm. The multiple sensor nodes in the system can form a variety of different topologies, the collected data can be sent to the user terminal through the GSM network, and the user can also control the remote sensor node through the GSM network. This paper first describes the automatic test problems, a constrained multi-objective problem, then the design of the genetic algorithm to improve the test paper and puts forward questions based on an encoding method and based on the difficulty and test points of F fitness function for dynamic adjustment of the parameters in the iterative process. Finally, it is verified by experiments that the test paper made by this method satisfies users’ requests for questions, contents, and scores, and at the same time, it also improves the running efficiency of a random optimization algorithm by 7–17 times. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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