Young Researcher Paper Award 2021
🥇Winners

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 34, Number 6(3) (2022)
Copyright(C) MYU K.K.
pp. 2229-2241
S&M2968 Research Paper of Special Issue
https://doi.org/10.18494/SAM3826
Published in advance: April 21, 2022
Published: June 22, 2022

Basis for Deep Learning Model of Discrete Event System for Information Technology Course Design [PDF]

Haidong Fu, Yueguang Xie, and Jih-Fu Tu

(Received December 30, 2021; Accepted April 6, 2022)

Keywords: core literacy, metaphysical, discrete event system, information technology teachers, teaching ability

The development of technologies is changing the traditional concept of teaching and learning in classrooms. In particular, information technology (IT) courses are rapidly adopting such changes as IT education’s purpose is to cultivate students’ capability to develop technologies by experiencing them in classrooms. In IT courses, deep learning has been used to improve teaching and learning ability through the use of sensing technology and related hardware/software. In teaching and learning, asynchronous, concurrent, and stochastic events occur because teachers and students have their protocols and behaviors in the related activities. Therefore, the design and teaching of courses should be based on a discrete event system that deals with discrete events. On the basis of this concept, we propose a deep learning model with the Petri net method to establish a logical modular system for IT course design and teaching. Because Petri nets are useful in simulation and analysis for the system modeling of asynchronous, concurrent, and stochastic events, we investigate how to use a Petri net to establish a deep learning model to develop and evaluate the curriculum of IT courses. The results of this study will contribute to building an efficient IT learning system that comprises sensing technology, information transmission, information processing, and feedback, which will require collaboration with pedagogical experts in the future.

Corresponding author: Jih-Fu Tu


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Haidong Fu, Yueguang Xie, and Jih-Fu Tu, Basis for Deep Learning Model of Discrete Event System for Information Technology Course Design, Sens. Mater., Vol. 34, No. 6, 2022, p. 2229-2241.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Collection, Processing, and Applications of Measured Sensor Signals
Guest editor, Hsiung-Cheng Lin (National Chin-Yi University of Technology)


Special Issue on Advanced Materials and Sensing Technologies on IoT Applications: Part 4-3
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)


Special Issue on Advanced Technologies for Remote Sensing and Geospatial Analysis: Part 2
Guest editor, Dong Ha Lee (Kangwon National University) and Myeong Hun Jeong (Chosun University)
Call for paper


Special Issue on IoT Wireless Networked Sensing for Life and Safety
Guest editor, Toshihiro Itoh (The University of Tokyo) and Jian Lu (National Institute of Advanced Industrial Science and Technology)
Call for paper


Special Issue on the International Multi-Conference on Engineering and Technology Innovation 2021 (IMETI2021)
Guest editor, Wen-Hsiang Hsieh (National Formosa University)
Conference website


Special Issue on Biosensors and Biofuel Cells for Smart Community and Smart Life
Guest editor, Seiya Tsujimura (University of Tsukuba), Isao Shitanda (Tokyo University of Science), and Hiroaki Sakamoto (University of Fukui)
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.