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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. STUDYING THE EFFECTS OF CELLPHONE RADIATION USING IOT AND MACHINE LEARNING TECHNIQUES
    S. Anju#1, Dr. S. Surendran#2 and B. Selvalakshmi#3
    Journal of Data Acquisition and Processing, 2023, 38 (1): 3233-3241 . 

    Abstract

    Phones have become an integral part of our day-to-day life. There is no day for us where we can go through without phones. Approximately 7.26 billion people own phones, that is, around 91% of the population own mobile phones. India is the second largest country to own phone. India is also the 7th largest country by area covered in the world, which is approximately 32 lakh sq. km. Imagine the count of 7.26 billion phone’s radiation on 32 lakh sq. km. area and how much it affects us. There are many among us who use mobile phones as alarm and keep it near our head. And there are people who keep their phones close to their head and speak with others for longer duration of time. At all these instances we can say that phones are kept much closer to our head. This paper aims to take a small step towards illustrating how much radiation does our phones emit in accordance with the area factor. As prevention is better than cure, we can try to eliminate the indirect risk factors that may affect our health. We get to know about the harmful effects of radiation on us and can try to be more aware of cellular radiation. This paper is a study on low-cost piezoelectric buzzer-based radiation detector circuit setup made with the help of Arduino ATmega328 and an ultrasonic distance sensor

    Keyword

    Arduino, ATmega328P, ultrasonic distance sensor, cellular radiation, piezoelectric buzzer


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