The Applications of Neural Networks Involve Analyzing Data that Influences Factors in the Development of Learning Digital Circuits with the NX-100 Board Model

The Applications of Neural Networks Involve Analyzing Data that Influences Factors in the Development of Learning Digital Circuits with the NX-100 Board Model

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© 2024 by IJETT Journal
Volume-72 Issue-5
Year of Publication : 2024
Author : Tavat Ruamsub, Tipaporn Supamid
DOI : 10.14445/22315381/IJETT-V72I5P138

How to Cite?

Tavat Ruamsub, Tipaporn Supamid, "The Applications of Neural Networks Involve Analyzing Data that Influences Factors in the Development of Learning Digital Circuits with the NX-100 Board Model," International Journal of Engineering Trends and Technology, vol. 72, no. 5, pp. 374-383, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I5P138

Abstract
The purpose of this project is to apply neural networks to the analysis of data related to variables impacting the evolution of education in the field of computer engineering and technology. In particular, the NX-100 digital circuit experiment kit is the subject of this investigation. We look at a sample dataset that was gathered from Rattana Bundit University students who were enrolled in Microprocessor courses and Digital 1 subjects and had a normal status. The NX-100 digital circuit experiment kit tested normally for every participant, which made data collecting simple. The instructor’s exercises were followed in order to administer the tests, which were done using the NX-100 digital circuit experiment kit. The researcher is prepared to offer thorough data for a variety of subject analyses. The research focuses on the following areas: 1. Give a summary of the responders in general. 2. Report on aspects of microprocessor/computer architecture and digital circuit experimentation, such as the Model NX-100. 3. Using the NX-100 digital circuit experiment kit, provide information on the components involved in developing educational materials for computer engineering and technology. 4. A report on the software and hardware used in computer engineering and technology education, with additional information drawn from articles on the subject from Rattana Bundit University. Nevertheless, the following details are included to provide an overview of the study’s findings: 1) Study details: 4.78 is the median value. 2) Personnel data: 4.99 is the median score. 3) The median value of the data on internet access points and computer services is 4.82. 4) The median score for data on test formats and the advancement of education is 4.99. 5) The median value of the information on internationalization is 4.99. The researcher draws the conclusion that most respondents primarily agreed with the question statements, which are arranged in descending order of median significance based on the material that has been presented.

Keywords
Microprocessor, Innovation in Microprocessors, Model NX-100 digital circuit experiment kit.

References
[1] Kittisak Ungkanawin, “The Development of an Experimental Set and Finding Efficiency the Application Using Microcontroller Boards of the Controller Robots in Microprocessor and Interfacing Subjects for 4rd undergraduate Students Computer Engineering Faculty of Engineering Kasembundit University,” International Journal of Science and Innovative Technology, vol. 2, no. 2, pp. 22-32, 2019.
[Google Scholar] [Publisher Link]
[2] Chatuporn Rawengjit, and Muthita Matamoon, “A Study of Problems in Computer Service in the Classroom,” Case study Rajamangala University of Technology Suvarnabhumi, pp. 1-47, 2018.
[Publisher Link]
[3] D. Puangdownreong, “Microprocessor Implementation for a Real Time PID Controller,” Southeast Asia University, pp. 12-17, 2020.
[Publisher Link]
[4] Ungkanawin, Kittisak, “Technology Innovation and System Quality Affect the Effectiveness of Digital Marketing In Thailand 4.0 Of Internet Online Business,” Journal of the Association of Researchers, vol. 23, no. 3, pp. 190-203, 2020.
[Google Scholar] [Publisher Link]
[5] Sharnil Pandya et al., “Smart Home Anti-Theft System: A Novel Approach for Near Real-Time Monitoring and Smart Home Security for Wellness Protocol,” Applied System Innovation, vol. 1, no. 4, pp. 1-22, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Sureshkumar Jha et al., “Study on Design and Implementation of Distributed Multiple Camera Surveillance and Tracking System,” ITM Web of Conferences, vol. 40, pp. 1-8, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Tseng-Lung Huang, and Shuling Liao, “A Model of Acceptance of Augmented-Reality Interactive Technology: The Moderating Role of Cognitive Innovativeness,” Electronic Commerce Research, vol. 15, pp. 269-295, 2015.
[CrossRef] [Google Scholar] [Publisher Link]