User Repairable and Customizable Buzzer System using Machine Learning and IoT System

Author:

Huang Leheng,Sun Yu

Abstract

The creation and sustainability of academic teams have long been unnecessarily difficult due to the exorbitant costs of purchasing and maintaining equipment [1][2]. These costs serve as a major barrier, especially in poorer areas where securing the funds for this equipment is difficult [3]. In addition, when the equipment eventually breaks, it is often difficult to repair, forcing academic teams to purchase a new set of equipment. This project attempts to provide a product that can drastically lower the equipment's costs and allow the user to modify and repair it as necessary. This project resulted in the development of the Argo Buzzer System which was created with input from experienced academic team members and it has proven that it is comparable to modern buzzer systems for a fraction of the cost [4]

Publisher

Academy and Industry Research Collaboration Center (AIRCC)

Reference15 articles.

1. [1] Wilkinson, Adrian, Malcolm Hill, and Paul Gollan. "The sustainability debate." International Journal of Operations & Production Management (2001).

2. [2] Wadhera, Sidhant. "Exorbitant Costs and Minimal Benefits: the Impact of Hosting the Olympics." Chicago Policy Review (Online) (2020).

3. [3] Malafeyev, O. A., et al. "The optimization problem of preventive equipment repair planning." AIP Conference Proceedings. Vol. 1978. No. 1. AIP Publishing LLC, 2018.

4. [4] Tait, Jasmine. "A Comparison of Acoustic Effects of Two Stopper and Crown Systems in the Modern Flute." Canadian Acoustics 29: 40-44.

5. [5] Gordon, Rick. "Balancing real-world problems with real-world results." Phi Delta Kappan 79.5 (1998): 390.

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