Presenting the Secure Collapsible Makerspace with Biometric Authentication

Authors

  • Muhammad Syafiq Abdul Razak Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Malaysia https://orcid.org/0009-0006-4086-215X
  • Sundaraja Perumal A. Gothandapani Ignitive Minds PLT, Malaysia
  • Noorfazila Kamal Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Malaysia
  • Kalaivani Chellappan Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Malaysia
Volume: 14 | Issue: 1 | Pages: 12880-12886 | February 2024 | https://doi.org/10.48084/etasr.6400

Abstract

Traditional product design learning is inefficient, costly, and limited by safety concerns in physical and smaller-scale school workshops. The Secure Collapsible Makerspace is a mobile makerspace with smart sensors and an expandable work area facility. This study aims to develop a smart mobile makerspace platform using edge computing architecture and the biometric security model to compare real-time learners’ engagement time and design performance. The developed platform consists of four blocks that provide service as a makerspace for the learners and monitor their utilization in a secure environment. The edge computing architecture allows real-time analysis of the users’ makerspace utilization. A total of 750 learners were accessed for their product design outcome which presented a positive correlation of 0.72 between the engagement time and the design assessment with a corresponding p-value less than 0.001. This study concludes that makerspaces can be a platform that improves students’ performance in hands-on activity-related learning.

Keywords:

active learning, biometrics, Internet of Things, intrusion detection, remote monitoring

Downloads

Download data is not yet available.

References

M. Abdullatif Abdelaziz and A. Dawood Salman, "Mobile robot monitoring system based on IoT," Journal of Xi’an University of Architecture & Technology, vol. 12, no. 3, pp. 5438–5447, May 2020.

H. Rahendra Herlianto and G. Putra Kusuma, "IoT-based student monitoring system for smart school applications," International Journal of Emerging Trends in Engineering Research, vol. 8, no. 9, pp. 6423–6430, September 2020.

I. Chirikov, T. Semenova, N. Maloshonok, E. Bettinger, and R. F. Kizilcec, "Online education platforms scale college STEM instruction with equivalent learning outcomes at lower cost," Science Advances, vol. 6, no. 15, Apr. 2020, Art. no. eaay5324.

Y. Mohamd Yusof, A. Ayob, and M. H. Md Saad, "Use of engineering technology in integrated STEM education," Jurnal Kejuruteraan, vol. 33, no. 1, pp. 1–11, February 2021.

W. Xu and F. Ouyang, "The application of AI technologies in STEM education: a systematic review from 2011 to 2021," International Journal of STEM Education, vol. 9, no. 1, Sep. 2022, Art. no. 59.

N. A. Mohd Noor, Z. H. Che Soh, M. N. Ibrahim, M. H. Abdullah, S. N. Sulaiman, I. H. Hamzah, and S. A. Che Abdullah, "Public health and safety on close contact proximity detection for COVID-19 and alert via IoT," Jurnal Kejuruteraan, vol. 35, no. 4, pp. 849–855, Jan. 2023.

F. Saleem, W. AlNasrallah, M. I. Malik, and S. U. Rehman, "Factors affecting the quality of online learning during COVID-19: Evidence from a developing economy," Frontiers in Education (Lausanne), vol. 7, April 2022.

"Student Handbook," St. Gabriel’s Secondary School. https://stgabrielssec.moe.edu.sg/links/Student-Handbook/.

R. N. Monte and A. R. Buan, "The impact of COVID-19 on physical education: Mobility-restrictive measures on the remote learning setup," International Journal of Asian Social Science, vol. 11, no. 10, pp. 474–489, October 2021.

L. N. Fewella, "Impact of COVID-19 on distance learning practical design courses," International Journal of Technology and Design Education, vol. 33, no. 5, pp. 1703–1726, Nov. 2023.

A. Marin, K. H. Taylor, B. R. Shapiro, and R. Hall, "Why Learning on the Move: Intersecting Research Pathways for Mobility, Learning and Teaching," Cognition and Instruction, vol. 38, no. 3, pp. 265–280, Jul. 2020.

M. F. I. Mohd-Nor, S. Darman, H. Z, M. M. Tahir, and A. I. Che-Ani, "Penggunaan Perisian Grafik Berkomputer Dikalangan Pelajar Senibina Di Ukm," Journal of Design + Built, vol. 10, no. 1, pp. 36–43, Feb. 2018.

M. Usman, A. Jolfaei, and M. A. Jan, "RaSEC: An Intelligent Framework for Reliable and Secure Multilevel Edge Computing in Industrial Environments," IEEE Transactions on Industry Applications, vol. 56, no. 4, pp. 4543–4551, Jul. 2020.

J. H. Ylostalo, "Engaging students into their own learning of foundational genetics concepts through the 5E learning cycle and interleaving teaching techniques," Journal of Biological Education, vol. 54, no. 5, pp. 514–520, October 2020.

M. F. I. Mohd-Nor, N. I. A. M. Azman, M. Mohd Tahir, I. M. S. Usman, and M. P. Grant, "A comparison study on the usage of Lumion and V-ray for SketchUp applications in producing final presentation visuals for architecture design," Jurnal Kejuruteraan, vol. SI 5, no. 1, pp. 71–83, October 2022.

A. Vasilchenko, "Artificial Intelligence (AI) Biometric Authentication for Enterprise Security," MobiDev. https://mobidev.biz/blog/ai-biometrics-technology-authentication-verification-security.

M. Hoffmann and M. Mariniello, "1 Biometric technologies at work: a proposed use-based taxonomy," Policy Contribution, no. n˚23/21, Nov. 2021.

P. V. L. Suvarchala and S. S. Kumar, "Feature Set Fusion for Spoof Iris Detection," Engineering, Technology & Applied Science Research, vol. 8, no. 2, pp. 2859–2863, Apr. 2018.

Y. Said, M. Barr, and H. E. Ahmed, "Design of a Face Recognition System based on Convolutional Neural Network (CNN)," Engineering, Technology & Applied Science Research, vol. 10, no. 3, pp. 5608–5612, Jun. 2020.

S. Alim and T. Eseyin, "Development of a Fingerprint Lock Safe with Vibration Sensor," ELEKTRIKA- Journal of Electrical Engineering, vol. 20, no. 1, pp. 9–14, Apr. 2021.

W. Yang, S. Wang, N. M. Sahri, N. M. Karie, M. Ahmed, and C. Valli, "Biometrics for Internet-of-Things Security: A Review," Sensors, vol. 21, no. 18, Jan. 2021, Art. no. 6163.

N. Saibania, J. A. Ghania, M. H. S. Akmara, W. K. Boon, M. R. Ravia, M. A. Md Nawawia, and N. A. I. Mohd Asri, "Latest advancement of technologies in supply chain management: An overview," Jurnal Kejuruteraan, vol. 33, no. 4, pp. 785–791, Nov. 2021.

T. Baimukhametov, "Simplified Calculations for Choosing Linear Actuator Parameters," Progressive Automations, Jan. 19, 2022. https://www.progressiveautomations.com/blogs/products/simplified-calculations-for-choosing-actuator-parameters.

Q.-T. Dao, V. V. Dinh, C. T. Vu, T. Q. Pham, and D. M. Duong, "An Adaptive Sliding Mode Controller for a PAM-based Actuator," Engineering, Technology & Applied Science Research, vol. 13, no. 1, pp. 10086–10092, Feb. 2023.

B. Bajic, N. Suzic, N. Simeunovic, S. Moraca, and A. Rikalovic, "Real-time data analytics edge computing application for Industry 4.0: The Mahalanobis-Taguchi approach," International Journal of Industrial Engineering and Management, vol. 11, no. 3, pp. 146–156, Sep. 2020.

K. Sha, T. A. Yang, W. Wei, and S. Davari, "A survey of edge computing-based designs for IoT security," Digital Communications and Networks, vol. 6, no. 2, pp. 195–202, Sep. 2020.

S. H. P. W. Gamage, J. R. Ayres, and M. B. Behrend, "A systematic review on trends in using Moodle for teaching and learning," International Journal of STEM Education, vol. 9, no. 1, Jan. 2022, Art. no. 9.

R. Rosli, S. E. Mokhsein, and Z. Suppian, "Classroom assessment practices in malaysian primary schools: A meta-analysis," International Journal of Academic Research in Progressive Education and Development, vol. 11, no. 1, pp. 97-111, January 2022.

N. A. Muhamad, F. S. Zahid, N. Othman, and N. D. Md Sin, "The Role of IoT Technologies in Malaysia During the Covid-19 Pandemic: A Mini-Review, " Jurnal Kejuruteraan, vol. 35, no. 3, pp. 587–595, May 2023.

C. Gewertz, "Instruction During COVID-19: Less Learning Time Drives Fears of Academic Erosion," Education Week, May 28, 2020.

D. Aguilera and F. J. Perales-Palacios, "Learning biology and geology through a participative teaching approach: the effect on student attitudes towards science and academic performance," Journal of Biological Education, vol. 54, no. 3, pp. 245–261, May 2020.

A. C. Brady, Y. Kim, and J. Cutshall, "The what, why, and how of distractions from a self-regulated learning perspective," Journal of College Reading and Learning, vol. 51, no. 2, pp. 153–172, April 2021.

Downloads

How to Cite

[1]
M. S. Abdul Razak, S. P. A. Gothandapani, N. Kamal, and K. Chellappan, “Presenting the Secure Collapsible Makerspace with Biometric Authentication”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 1, pp. 12880–12886, Feb. 2024.

Metrics

Abstract Views: 32
PDF Downloads: 37

Metrics Information