Nor Azhar, Ahmad and Fauziah, Zainuddin and Roslina, Abd Hamid and Rahmah, Mokhtar (2019) Indoor air quality sensors data mapped to students behavior in classroom through production rules technique. In: IEEE Symposium On Computer Applications & Industrial Electronics (ISCAIE 2019) , 27 - 28 April 2019 , Kota Kinabalu, Sabah. pp. 1-6.. (Unpublished)
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Abstract
The behavior of students in a classroom is hardly being recognized by the instructor. Recent development, a researcher determines these traits by using a permissive approach. In this paper, a real-time classroom environment using sensing device with detection of student behavior is proposed. Recent studies as guidelines for this paper lead to three early hypotheses; development of the engine to detect student’s behavior based on environmental sensing, faster production rules and reliability using economical sensors. The production rules are created step by step based on expert endorsements in three different areas; environmental, health, and education. The test beds are three classrooms with separate periods had been deployed to proof the hypotheses. The result shows a promising output, which is all hypotheses are fully accepted.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Uncontrolled Keywords: | Indoor air quality; Internet of things; Production rules technique |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 21 Nov 2019 02:19 |
| Last Modified: | 21 Nov 2019 02:19 |
| URI: | http://umpir.ump.edu.my/id/eprint/25481 |
| Download Statistic: | View Download Statistics |
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