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We at Circuit Uncle believe the world becomes better if all contribute. This has motivated us to publish our research/projects and make them available to the scientific community. Below is the list of the papers, their abstract, and where you can download their text/code.

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Published in April 2020

Title: IoT-Q-Band: A low cost internet of things based wearable band to detect and track absconding COVID-19 quarantine subjects

Abstract: The world health organization (WHO) has declared the novel coronavirus disease (nCoV or COVID-19) outbreak a pandemic, and quarantines are playing a vital role in containing its spread. But globally, the defections of the quarantined subjects are raising serious concerns. If COVID-19 positive, the absconding quarantine subjects can infect more people, which makes the timely detection of them vital. As the literature suggests, a wearable makes a subject more compliant towards healthcare routines/restrictions; thus, in this work, we have designed an IoT based wearable quarantine band (IoT-Q-Band) to detect the absconding. While designing it, we kept in mind the cost, global supply chain disruption, and COVID-19 quarantine duration, which the WHO recommends. This wearable prototype, with the bundled mobile app, reports and tracks the absconding quarantine subjects in real-time. IoT-Q-Band is an economical solution that could benefit low-income regions to prevent the spread of COVID-19.

DOI:10.4108/eai.13-7-2018.163997

PDF Link: https://eudl.eu/pdf/10.4108/eai.13-7-2018.163997

Code/Files: https://github.com/circuituncle/IoTQBand

Cite as:  Singh, V.K., Chandna, H., Kumar, A., Kumar, S., Upadhyay, N., Utkarsh, K. (2020). IoT-Q-Band: A low cost internet of things based wearable band to detect and track absconding COVID-19 quarantine subjects. EAI Endorsed Transactions on Internet of Things, (EAI):1-9. doi: 10.4108/eai.13-7-2018.163997.

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Published in April 2019

Title: SmartPPM: An Internet of Things Based Smart Helmet Design for Potholes and Air Pollution Monitoring

Abstract: In a country with an extensive road network, it is very tough for authorities to identify and repair the potholes on time, which emerge due to casual wear and tear of the road. These potholes are dangerous for unsuspecting high-speed vehicles and results in multiple life-threatening accidents year-round. Apart from potholes, another severe concern about the time spent on roads is air pollution. Breathing the polluted air, mainly containing the particulate matter that has a diameter of fewer than 2.5 micrometers, is toxic to humans. In this work, we have judiciously designed an Internet of Things based smart helmet, which uses crowdsourcing to report potholes and collect crucial on-road air pollution data so that a person could avoid risk to life and health. We have also introduced the novel concept of remembrance factor and severity index, which could be useful in dealing with the stale and invalid pothole data in the database.

DOI: 10.4108/eai.13-7-2018.163833

PDF Link: https://eudl.eu/pdf/10.4108/eai.13-7-2018.163833

Code/Files: https://github.com/circuituncle/SmartPPM

Cite as: Singh, V.K., Chandna, H. and Upadhyay, N. (2019) SmartPPM: An Internet of Things Based Smart Helmet Design for Potholes and Air Pollution Monitoring. EAI Endorsed Transactions on Internet of Things, (EAI) 5(18): 1-9.

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