Call for Papers:Vol.10 Issue.6

Submission
Last date		 30-Dec-2024
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-10,Issue-6. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Internet of Things Based PM2.5(SMOG) Forecasting
PaperId: :  14738
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 4 2021
DUI:    16.0415/IJARIIE-14738
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Shruti Ahire JIT’s Institute of Technology, Management and Research, Nashik
Nikita PrajapatiJIT’s Institute of Technology, Management and Research, Nashik
Vaishali NikamJIT’s Institute of Technology, Management and Research, Nashik
Shweta Jagtap JIT’s Institute of Technology, Management and Research, Nashik
Prof. S. B. PatilJIT’s Institute of Technology, Management and Research, Nashik

Abstract

computer engineering
PM2.5, Cloud, Internet of Things, NOVA Sensor
Poor visibility due to SMOG(PM2.5) has triggered 30Percent increase in road accidents in INDIA in just last two days. According to MH-100, police emergency response centre, the number jumped from average 500 daily (since November 1) to 650 on November 7 and 8, 2019. In work, we propose to measure and monitor the fine dust (PM2.5) in outdoor environment to avoid road accidents and health hazards. Also, using the app of the smart phone which is the monitoring device users are not constrained to time and place, IoT (Internet of Things) technology, which is one of the most trending industrial technologies is used to measure outdoor PM2.5 Particles and airborne fine dusts using IoT devices (Fine dust sensors) and microcontroller, which is an embedded system are configured in hardware to precisely measure and collect data on fine dusts. Atmospheric particulate matter, such as PM2.5, contributes to air pollution negatively affecting human health and road accidents on highways. Many factors determine the change of PM2.5 concentration levels, which can be very sudden, nonlinear, and uncertain. Hence, traditional methods are not always suitable for predicting the exact amount of PM2.5 in the air. Effective forecasting of PM2.5 levels can tell people the air condition and support country’s sustainable development; hence, forecasting PM2.5 values has an important social and long-term economic significance. This study proposes a system for detecting the amount of PM2.5 and other pollutants in the air using Internet of Things technology and a cloud-based system model.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Shruti Ahire , Nikita Prajapati, Vaishali Nikam, Shweta Jagtap , and Prof. S. B. Patil. "Internet of Things Based PM2.5(SMOG) Forecasting" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 4 2021 Page 182-185
MLA Shruti Ahire , Nikita Prajapati, Vaishali Nikam, Shweta Jagtap , and Prof. S. B. Patil. "Internet of Things Based PM2.5(SMOG) Forecasting." International Journal Of Advance Research And Innovative Ideas In Education 7.4(2021) : 182-185.
APA Shruti Ahire , Nikita Prajapati, Vaishali Nikam, Shweta Jagtap , & Prof. S. B. Patil. (2021). Internet of Things Based PM2.5(SMOG) Forecasting. International Journal Of Advance Research And Innovative Ideas In Education, 7(4), 182-185.
Chicago Shruti Ahire , Nikita Prajapati, Vaishali Nikam, Shweta Jagtap , and Prof. S. B. Patil. "Internet of Things Based PM2.5(SMOG) Forecasting." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 4 (2021) : 182-185.
Oxford Shruti Ahire , Nikita Prajapati, Vaishali Nikam, Shweta Jagtap , and Prof. S. B. Patil. 'Internet of Things Based PM2.5(SMOG) Forecasting', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, 2021, p. 182-185. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Internet_of_Things_Based_PM2_5_SMOG__Forecasting_ijariie14738.pdf (Accessed : ).
Harvard Shruti Ahire , Nikita Prajapati, Vaishali Nikam, Shweta Jagtap , and Prof. S. B. Patil. (2021) 'Internet of Things Based PM2.5(SMOG) Forecasting', International Journal Of Advance Research And Innovative Ideas In Education, 7(4), pp. 182-185IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Internet_of_Things_Based_PM2_5_SMOG__Forecasting_ijariie14738.pdf (Accessed : )
IEEE Shruti Ahire , Nikita Prajapati, Vaishali Nikam, Shweta Jagtap , and Prof. S. B. Patil, "Internet of Things Based PM2.5(SMOG) Forecasting," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 4, pp. 182-185, Jul-Aug 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Internet_of_Things_Based_PM2_5_SMOG__Forecasting_ijariie14738.pdf [Accessed : ].
Turabian Shruti Ahire , Nikita Prajapati, Vaishali Nikam, Shweta Jagtap , and Prof. S. B. Patil. "Internet of Things Based PM2.5(SMOG) Forecasting." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 4 ().
Vancouver Shruti Ahire , Nikita Prajapati, Vaishali Nikam, Shweta Jagtap , and Prof. S. B. Patil. Internet of Things Based PM2.5(SMOG) Forecasting. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(4) : 182-185. Available from: https://ijariie.com/AdminUploadPdf/Internet_of_Things_Based_PM2_5_SMOG__Forecasting_ijariie14738.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Review on Ad Makers- Creation & Design Advertising CampaignsComputer EngineeringSwapnil Ohol1 Download
DETECTING FACIAL FORGERIES USING NOVEL FREQUENCY CONVOLUTIONAL NEURAL NETWORKComputer ScienceChikati Madhava Rao Download
Detecting Diabetes Early and Classifying Risk with Interpretable Deep Learning ModelsComputer ScienceMohmad Ahmed Ali Download
Enhance Accuracy of Medical Disease Prediction Using Machine Learning TechniquesMachine LearningSandeep Singh Sikarwar Download
Transformer-based Generative Adversarial Network (GAN) hybrid model for sentiment analysisInformation Technologyhridesh kumar Download
A Step Ahead in Operational Resilience - Integrating Observability with DevOpsComputer EngineeringAmit Sengupta Download
The Influence of Artificial Intelligence and Human-Computer Interaction on Enhancing Children's Learning ExperiencesComputer Engineering,Supriya S Kendhuli Download
Medicinal Plants Identification Using Deep LearningComputer Engineering Rohan Kumar Verma Download
“How to balance automation and ethics when rolling out AI automation in an Educational Framework”Computer SciecneSudhakar mishra Download
Microservices Fault Tolerance PatternsComputer EngineeringAmit Sengupta Download
Forecasting and Categorization of Cardiac Arrhythmia using Soft Computational ApproachesComputer Science and EngineeringDr. Sivaprakash. C Download
Enhancing CybersecurityComputer EngineeringG Tarun Download
Microservices Design PatternsComputer EngineeringAmit Sengupta Download
The Novel Approach to Detect Kidney Stones Using Deep Learning and Convolutional Neural NetworksCSEN Manjunatha Download
An investigation into the use of deep learning and image processing in the domain of diabetic medical careCSEHR Ravikumar Download
12