Environmental monitoring with the help of Internet of Things (loT) and machine learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
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Brac University
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10361-146362022-01-26T10:20:04Z Environmental monitoring with the help of Internet of Things (loT) and machine learning Alam, Md. Sakirul Ahsan, Farshid Sarker, Anik Islam, Md. Motaharul Department of Computer Science and Engineering, Brac University IoT Air monitoring Multi-Layer Perception Principal Com- ponent Analysis Long Short Term Memory Machine Learning Internet of Things This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. Cataloged from PDF version of thesis. Includes bibliographical references (pages 35-37). In recent day situation, the non-stop increase in air and noise pollution can be an enormous direful downside for our country. It has become an obligatory to manage and ttingly monitor true so, the speci ed steps to manage true may be undertaken. According to World Health Organization (WHO), 60dB is that the sound level hu- man will tolerate while not gradual loss of hearing. Around 11.7% of the population in Asian country have lost their hearing thanks to pollution says the Department of Environment (DoE) study, that was conducted in 2017 and for pollution it a ects the human body's metabolic process and cardiac systems, and additionally a ects the eyes and di erent body organs.. Pollution additionally causes various diseases like cancer that have an e ect on di erent body organs. Therefore, in our project, an IoT primarily based technique exploitation Raspberry Pi is employed to observe and check live the Air quality and also the noise pollution of a neighborhood, are projected. System uses air sensors to sense presence of harmful gases/compounds within the air and perpetually transmit this information to micro controller. Ad- ditionally system keeps measuring excessive sound level and reports it to the web server over IoT. We tend to additionally need to predict the pollution level of sound and harmful gases so it may be prevented more.This permits authorities to observe pollution in several areas and take action against it. For taking action, we've to research it and that we can analyze it by Machine learning algorithms. Md. Sakirul Alam Farshid Ahsan Anik Sarker B. Computer Science 2021-06-22T07:16:40Z 2021-06-22T07:16:40Z 2020 2020-04 Thesis ID 16101233 ID 16301088 ID 16301007 http://hdl.handle.net/10361/14636 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 37 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
IoT Air monitoring Multi-Layer Perception Principal Com- ponent Analysis Long Short Term Memory Machine Learning Internet of Things |
| spellingShingle |
IoT Air monitoring Multi-Layer Perception Principal Com- ponent Analysis Long Short Term Memory Machine Learning Internet of Things Alam, Md. Sakirul Ahsan, Farshid Sarker, Anik Environmental monitoring with the help of Internet of Things (loT) and machine learning |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020. |
| author2 |
Islam, Md. Motaharul |
| author_facet |
Islam, Md. Motaharul Alam, Md. Sakirul Ahsan, Farshid Sarker, Anik |
| format |
Thesis |
| author |
Alam, Md. Sakirul Ahsan, Farshid Sarker, Anik |
| author_sort |
Alam, Md. Sakirul |
| title |
Environmental monitoring with the help of Internet of Things (loT) and machine learning |
| title_short |
Environmental monitoring with the help of Internet of Things (loT) and machine learning |
| title_full |
Environmental monitoring with the help of Internet of Things (loT) and machine learning |
| title_fullStr |
Environmental monitoring with the help of Internet of Things (loT) and machine learning |
| title_full_unstemmed |
Environmental monitoring with the help of Internet of Things (loT) and machine learning |
| title_sort |
environmental monitoring with the help of internet of things (lot) and machine learning |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/14636 |
| work_keys_str_mv |
AT alammdsakirul environmentalmonitoringwiththehelpofinternetofthingslotandmachinelearning AT ahsanfarshid environmentalmonitoringwiththehelpofinternetofthingslotandmachinelearning AT sarkeranik environmentalmonitoringwiththehelpofinternetofthingslotandmachinelearning |
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1814309200401006592 |