Sustainable GSM-Based Remote Switching System Using Conventional Mobile Phones Without Microcontroller for Low-Cost Automation Applications
DOI:
https://doi.org/10.59976/jurit.v2i3.145Abstract
The development of telecommunications-based control systems has become an alternative solution in home automation and small industries, especially in areas with limited internet access. This study aims to design and test a telephone-based electrical equipment control module that utilizes conventional mobile phones as an activation medium without the aid of a microcontroller. This system consists of a tuner block, a three-stage Darlington amplifier, a Schmitt Trigger with an optocoupler, a 555 IC multivibrator, and a relay as the main actuator. Test results show that the power supply circuit is capable of maintaining voltage stability of ±0.1 V on the 5V and 9V lines, while the tuner successfully detects electromagnetic signals with a fairly stable output voltage of 0.05–0.98 V to trigger the signal amplifier. The multivibrator circuit showed a consistent flip-flop response to logic pulses from the tuner, while the relay was able to operate mechanically in two stable conditions (ON/OFF). These findings show that analog signals from mobile phones can be effectively integrated with pure electronic circuits to produce a reliable, cost-effective, and environmentally friendly remote control system. The advantage of this research lies in the approach of reusing low-end GSM technology for internet-free automation that supports the principles of circular economy and electronic waste reduction.
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References
H. G. Abreha, “Federated Learning in Edge Computing: A Systematic Survey,” 2022. doi: 10.3390/s22020450.
Y. Fan, “Mobile Phone Flashlight-Excited Red Afterglow Bioimaging,” Adv. Mater., vol. 34, no. 18, 2022, doi: 10.1002/adma.202201280.
T. Gafni, “Federated Learning: A signal processing perspective,” IEEE Signal Process. Mag., vol. 39, no. 3, pp. 14–41, 2022, doi: 10.1109/MSP.2021.3125282.
S. Tavani, “Smartphone assisted fieldwork: Towards the digital transition of geoscience fieldwork using LiDAR-equipped iPhones,” 2022. doi: 10.1016/j.earscirev.2022.103969.
F. DIng, “Deep-Learning-Empowered Digital Forensics for Edge Consumer Electronics in 5G HetNets,” IEEE Consum. Electron. Mag., vol. 11, no. 2, pp. 42–50, 2022, doi: 10.1109/MCE.2020.3047606.
S. Tatsumi, “ForestScanner: A mobile application for measuring and mapping trees with LiDAR-equipped iPhone and iPad,” Methods Ecol. Evol., vol. 14, no. 7, pp. 1603–1609, 2023, doi: 10.1111/2041-210X.13900.
K. O. Jeong, “Facilitating Sustainable Self-Directed Learning Experience with the Use of Mobile-Assisted Language Learning,” Sustain. Switz., vol. 14, no. 5, 2022, doi: 10.3390/su14052894.
D. Shi, “Selective fixed-filter active noise control based on convolutional neural network,” Signal Processing, vol. 190, 2022, doi: 10.1016/j.sigpro.2021.108317.
H. Zhang, “Fuzzy-PID-Based Atmosphere Packaging Gas Distribution System for Fresh Food,” Appl. Sci. Switz., vol. 13, no. 4, 2023, doi: 10.3390/app13042674.
M. Kouvari, “Digital Health Interventions for Weight Management in Children and Adolescents: Systematic Review and Meta-analysis,” 2022. doi: 10.2196/30675.
J. A. Sánchez-Vaquerizo, “Getting Real: The Challenge of Building and Validating a Large-Scale Digital Twin of Barcelona’s Traffic with Empirical Data,” ISPRS Int. J. Geo Inf., vol. 11, no. 1, 2022, doi: 10.3390/ijgi11010024.
T. Y. T. Lam, “Randomized Controlled Trials of Artificial Intelligence in Clinical Practice: Systematic Review,” 2022. doi: 10.2196/37188.
I. Almomani, “An Automated Vision-Based Deep Learning Model for Efficient Detection of Android Malware Attacks,” IEEE Access, vol. 10, pp. 2700–2720, 2022, doi: 10.1109/ACCESS.2022.3140341.
X. Tang, “Intelligent fault diagnosis of helical gearboxes with compressive sensing based non-contact measurements,” ISA Trans., vol. 133, pp. 559–574, 2023, doi: 10.1016/j.isatra.2022.07.020.
B. Urooj, “Malware Detection: A Framework for Reverse Engineered Android Applications Through Machine Learning Algorithms,” IEEE Access, vol. 10, pp. 89031–89050, 2022, doi: 10.1109/ACCESS.2022.3149053.
C. Huang, “Self-Destructive Structural Color Liquids for Time-Temperature Indicating,” ACS Nano, vol. 17, no. 11, pp. 10269–10279, 2023, doi: 10.1021/acsnano.3c00467.
A. Y. Kim, “Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach,” J. Med. Internet Res., vol. 25, 2023, doi: 10.2196/34474.
A. Mellit, “An embedded solution for fault detection and diagnosis of photovoltaic modules using thermographic images and deep convolutional neural networks,” Eng. Appl. Artif. Intell., vol. 116, 2022, doi: 10.1016/j.engappai.2022.105459.
Y. Lee, “Ultra-thin light-weight laser-induced-graphene (LIG) diffractive optics,” 2023. doi: 10.1038/s41377-023-01143-0.
N. Aishwarya, “Smart farming for detection and identification of tomato plant diseases using light weight deep neural network,” Multimed. Tools Appl., vol. 82, no. 12, pp. 18799–18810, 2023, doi: 10.1007/s11042-022-14272-2.
M. Windolf, “Continuous Implant Load Monitoring to Assess Bone Healing Status—Evidence from Animal Testing,” Med. Lith., vol. 58, no. 7, 2022, doi: 10.3390/medicina58070858.
S. Dixit, “Replacing E-waste with coarse aggregate in architectural engineering and construction industry,” 2022. doi: 10.1016/j.matpr.2021.12.154.
J. W. Wasmann, “Digital Approaches to Automated and Machine Learning Assessments of Hearing: Scoping Review,” 2022. doi: 10.2196/32581.
S. Dixit, “Investigating the disposal of E-Waste as in architectural engineering and construction industry,” Mater. Today Proc., vol. 56, pp. 1891–1895, 2022, doi: 10.1016/j.matpr.2021.11.163.
Q. u. a. Zahra, “Progress in smartphone-enabled aptasensors,” 2022. doi: 10.1016/j.bios.2022.114509.
M. I. Ahmed, “Secure and lightweight privacy preserving Internet of things integration for remote patient monitoring,” J. King Saud Univ. Comput. Inf. Sci., vol. 34, no. 9, pp. 6895–6908, 2022, doi: 10.1016/j.jksuci.2021.07.016.
Y. Gai, “A Gyroscope Nanogenerator with Frequency Up-Conversion Effect for Fitness and Energy Harvesting,” Small, vol. 18, no. 14, 2022, doi: 10.1002/smll.202108091.
A. Abd-Alrazaq, “The Effectiveness of Serious Games in Alleviating Anxiety: Systematic Review and Meta-analysis,” Jmir Serious Games, vol. 10, no. 1, 2022, doi: 10.2196/29137.
A. Abd-Alrazaq, “The Effectiveness of Serious Games in Improving Memory Among Older Adults With Cognitive Impairment: Systematic Review and Meta-analysis,” 2022. doi: 10.2196/35202.
N. Itoh, “Evaluation of the Effect of Patient Education and Strengthening Exercise Therapy Using a Mobile Messaging App on Work Productivity in Japanese Patients with Chronic Low Back Pain: Open-Label, Randomized, Parallel-Group Trial,” Jmir Mhealth Uhealth, vol. 10, no. 5, 2022, doi: 10.2196/35867.
Y. Li, “Effects on Adherence to a Mobile App–Based Self-management Digital Therapeutics Among Patients With Coronary Heart Disease: Pilot Randomized Controlled Trial,” Jmir Mhealth Uhealth, vol. 10, no. 2, 2022, doi: 10.2196/32251.
M. M. Abdelrahman, “Targeting occupant feedback using digital twins: Adaptive spatial–temporal thermal preference sampling to optimize personal comfort models,” Build. Environ., vol. 218, 2022, doi: 10.1016/j.buildenv.2022.109090.
H. Weise, “The Effect of an App-Based Home Exercise Program on Self-reported Pain Intensity in Unspecific and Degenerative Back Pain: Pragmatic Open-label Randomized Controlled Trial,” J. Med. Internet Res., vol. 24, no. 10, 2022, doi: 10.2196/41899.
X. Xia, “Millimeter-Wave ±45° Dual Linearly Polarized End-Fire Phased Array Antenna for 5G/B5G Mobile Terminals,” IEEE Trans. Antennas Propag., vol. 70, no. 11, pp. 10391–10404, 2022, doi: 10.1109/TAP.2022.3185496.
O. Dastane, “The development and validation of a scale to measure perceived value of mobile commerce (MVAL-SCALE),” J. Retail. Consum. Serv., vol. 71, 2023, doi: 10.1016/j.jretconser.2022.103222.
R. Bhan, “Blockchain-enabled secure and efficient data sharing scheme for trust management in healthcare smartphone network,” J. Supercomput., vol. 79, no. 14, pp. 16233–16274, 2023, doi: 10.1007/s11227-023-05272-6.
J. Zhao, “Enhancing quantum teleportation efficacy with noiseless linear amplification,” Nat. Commun., vol. 14, no. 1, 2023, doi: 10.1038/s41467-023-40438-z.
C. Güler, “A Novel High Isolation 4-Port Compact MIMO Antenna with DGS for 5G Applications,” Micromachines, vol. 14, no. 7, 2023, doi: 10.3390/mi14071309.
J. Wang, “Multi-frequency smartphone positioning performance evaluation: insights into A-GNSS PPP-B2b services and beyond,” Satell. Navig., vol. 5, no. 1, 2024, doi: 10.1186/s43020-024-00146-5.
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