Submit Search
Upload
IRJET- Air Pollution Prediction System for Smart City using Data Mining Technique: A Survey
•
0 likes
•
68 views
IRJET Journal
Follow
https://www.irjet.net/archives/V6/i12/IRJET-V6I12159.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 6
Download now
Download to read offline
Recommended
IRJET- Recognition of Future Air Quality Index using Artificial Neural Network
IRJET- Recognition of Future Air Quality Index using Artificial Neural Network
IRJET Journal
IRJET- Prediction of Fine-Grained Air Quality for Pollution Control
IRJET- Prediction of Fine-Grained Air Quality for Pollution Control
IRJET Journal
IRJET- Air Pollution Prediction using Machine Learning
IRJET- Air Pollution Prediction using Machine Learning
IRJET Journal
IRJET- Analysis and Prediction of Air Quality
IRJET- Analysis and Prediction of Air Quality
IRJET Journal
IRJET - Noise Pollution at Major Intersection in Jaipur City and its Mitigati...
IRJET - Noise Pollution at Major Intersection in Jaipur City and its Mitigati...
IRJET Journal
Implementation of embedded real time monitoring temperature and humidity system
Implementation of embedded real time monitoring temperature and humidity system
Journal Papers
IRJET- IoT based Air Pollution Monitoring System to Create a Smart Environment
IRJET- IoT based Air Pollution Monitoring System to Create a Smart Environment
IRJET Journal
IRJET- Web-Based Air and Noise Pollution Monitoring and Alerting Syetem
IRJET- Web-Based Air and Noise Pollution Monitoring and Alerting Syetem
IRJET Journal
Recommended
IRJET- Recognition of Future Air Quality Index using Artificial Neural Network
IRJET- Recognition of Future Air Quality Index using Artificial Neural Network
IRJET Journal
IRJET- Prediction of Fine-Grained Air Quality for Pollution Control
IRJET- Prediction of Fine-Grained Air Quality for Pollution Control
IRJET Journal
IRJET- Air Pollution Prediction using Machine Learning
IRJET- Air Pollution Prediction using Machine Learning
IRJET Journal
IRJET- Analysis and Prediction of Air Quality
IRJET- Analysis and Prediction of Air Quality
IRJET Journal
IRJET - Noise Pollution at Major Intersection in Jaipur City and its Mitigati...
IRJET - Noise Pollution at Major Intersection in Jaipur City and its Mitigati...
IRJET Journal
Implementation of embedded real time monitoring temperature and humidity system
Implementation of embedded real time monitoring temperature and humidity system
Journal Papers
IRJET- IoT based Air Pollution Monitoring System to Create a Smart Environment
IRJET- IoT based Air Pollution Monitoring System to Create a Smart Environment
IRJET Journal
IRJET- Web-Based Air and Noise Pollution Monitoring and Alerting Syetem
IRJET- Web-Based Air and Noise Pollution Monitoring and Alerting Syetem
IRJET Journal
Carbon level detection of vehicle for preventing Air Pollution using IOT Sensors
Carbon level detection of vehicle for preventing Air Pollution using IOT Sensors
IJSRED
Io t based real time air and sound
Io t based real time air and sound
jagadeshramesh
Predicting air pollution level
Predicting air pollution level
Marwa Tahawi
Green Computing: A New Vision to Computer Technology
Green Computing: A New Vision to Computer Technology
Agriculture Journal IJOEAR
Multi Objective Optimization of Plastic Welding Parameters in USPW of PMMA CM...
Multi Objective Optimization of Plastic Welding Parameters in USPW of PMMA CM...
IRJET Journal
IRJET - Study on Smart Air Pollution Monitoring System based on IoT
IRJET - Study on Smart Air Pollution Monitoring System based on IoT
IRJET Journal
IOT Based Air Pollution Monitoring System using Arduino
IOT Based Air Pollution Monitoring System using Arduino
IRJET Journal
Review Paper on Smart Sensor Network for Air Quality Monitoring
Review Paper on Smart Sensor Network for Air Quality Monitoring
AM Publications
Study of environmental factors at machining workstation a methodology
Study of environmental factors at machining workstation a methodology
IJECSJournal
IRJET- Air Pollution Monitoring System using the Internet of Things
IRJET- Air Pollution Monitoring System using the Internet of Things
IRJET Journal
IOT Based Environmental Pollution Monitoring System
IOT Based Environmental Pollution Monitoring System
IRJET Journal
IRJET- Analysis of Predicting Diseases for Smart Croping
IRJET- Analysis of Predicting Diseases for Smart Croping
IRJET Journal
The Effect of Building Direction and Natural Airing on Yearly Power Utilization
The Effect of Building Direction and Natural Airing on Yearly Power Utilization
YogeshIJTSRD
IRJET- IoT based Industrial Pollution Monitoring
IRJET- IoT based Industrial Pollution Monitoring
IRJET Journal
Pollution control using Internet Of Things
Pollution control using Internet Of Things
munindhar macherla
IRJET- Electric Discharge Machine: Review on Increase an Efficiency of Me...
IRJET- Electric Discharge Machine: Review on Increase an Efficiency of Me...
IRJET Journal
Design and Implementation of Portable Outdoor Air Quality Measurement System ...
Design and Implementation of Portable Outdoor Air Quality Measurement System ...
IJECEIAES
Numerical Evaluation of Temperature Distribution and Stresses Developed in Re...
Numerical Evaluation of Temperature Distribution and Stresses Developed in Re...
YogeshIJTSRD
Environmental impact, personnel health and operational safety aspects of elec...
Environmental impact, personnel health and operational safety aspects of elec...
Janak Valaki (PhD)
A Deep Learning Based Air Quality Prediction
A Deep Learning Based Air Quality Prediction
Dereck Downing
Air Pollution Prediction using Machine Learning
Air Pollution Prediction using Machine Learning
IRJET Journal
IRJET - Prediction of Air Pollutant Concentration using Deep Learning
IRJET - Prediction of Air Pollutant Concentration using Deep Learning
IRJET Journal
More Related Content
What's hot
Carbon level detection of vehicle for preventing Air Pollution using IOT Sensors
Carbon level detection of vehicle for preventing Air Pollution using IOT Sensors
IJSRED
Io t based real time air and sound
Io t based real time air and sound
jagadeshramesh
Predicting air pollution level
Predicting air pollution level
Marwa Tahawi
Green Computing: A New Vision to Computer Technology
Green Computing: A New Vision to Computer Technology
Agriculture Journal IJOEAR
Multi Objective Optimization of Plastic Welding Parameters in USPW of PMMA CM...
Multi Objective Optimization of Plastic Welding Parameters in USPW of PMMA CM...
IRJET Journal
IRJET - Study on Smart Air Pollution Monitoring System based on IoT
IRJET - Study on Smart Air Pollution Monitoring System based on IoT
IRJET Journal
IOT Based Air Pollution Monitoring System using Arduino
IOT Based Air Pollution Monitoring System using Arduino
IRJET Journal
Review Paper on Smart Sensor Network for Air Quality Monitoring
Review Paper on Smart Sensor Network for Air Quality Monitoring
AM Publications
Study of environmental factors at machining workstation a methodology
Study of environmental factors at machining workstation a methodology
IJECSJournal
IRJET- Air Pollution Monitoring System using the Internet of Things
IRJET- Air Pollution Monitoring System using the Internet of Things
IRJET Journal
IOT Based Environmental Pollution Monitoring System
IOT Based Environmental Pollution Monitoring System
IRJET Journal
IRJET- Analysis of Predicting Diseases for Smart Croping
IRJET- Analysis of Predicting Diseases for Smart Croping
IRJET Journal
The Effect of Building Direction and Natural Airing on Yearly Power Utilization
The Effect of Building Direction and Natural Airing on Yearly Power Utilization
YogeshIJTSRD
IRJET- IoT based Industrial Pollution Monitoring
IRJET- IoT based Industrial Pollution Monitoring
IRJET Journal
Pollution control using Internet Of Things
Pollution control using Internet Of Things
munindhar macherla
IRJET- Electric Discharge Machine: Review on Increase an Efficiency of Me...
IRJET- Electric Discharge Machine: Review on Increase an Efficiency of Me...
IRJET Journal
Design and Implementation of Portable Outdoor Air Quality Measurement System ...
Design and Implementation of Portable Outdoor Air Quality Measurement System ...
IJECEIAES
Numerical Evaluation of Temperature Distribution and Stresses Developed in Re...
Numerical Evaluation of Temperature Distribution and Stresses Developed in Re...
YogeshIJTSRD
Environmental impact, personnel health and operational safety aspects of elec...
Environmental impact, personnel health and operational safety aspects of elec...
Janak Valaki (PhD)
What's hot
(19)
Carbon level detection of vehicle for preventing Air Pollution using IOT Sensors
Carbon level detection of vehicle for preventing Air Pollution using IOT Sensors
Io t based real time air and sound
Io t based real time air and sound
Predicting air pollution level
Predicting air pollution level
Green Computing: A New Vision to Computer Technology
Green Computing: A New Vision to Computer Technology
Multi Objective Optimization of Plastic Welding Parameters in USPW of PMMA CM...
Multi Objective Optimization of Plastic Welding Parameters in USPW of PMMA CM...
IRJET - Study on Smart Air Pollution Monitoring System based on IoT
IRJET - Study on Smart Air Pollution Monitoring System based on IoT
IOT Based Air Pollution Monitoring System using Arduino
IOT Based Air Pollution Monitoring System using Arduino
Review Paper on Smart Sensor Network for Air Quality Monitoring
Review Paper on Smart Sensor Network for Air Quality Monitoring
Study of environmental factors at machining workstation a methodology
Study of environmental factors at machining workstation a methodology
IRJET- Air Pollution Monitoring System using the Internet of Things
IRJET- Air Pollution Monitoring System using the Internet of Things
IOT Based Environmental Pollution Monitoring System
IOT Based Environmental Pollution Monitoring System
IRJET- Analysis of Predicting Diseases for Smart Croping
IRJET- Analysis of Predicting Diseases for Smart Croping
The Effect of Building Direction and Natural Airing on Yearly Power Utilization
The Effect of Building Direction and Natural Airing on Yearly Power Utilization
IRJET- IoT based Industrial Pollution Monitoring
IRJET- IoT based Industrial Pollution Monitoring
Pollution control using Internet Of Things
Pollution control using Internet Of Things
IRJET- Electric Discharge Machine: Review on Increase an Efficiency of Me...
IRJET- Electric Discharge Machine: Review on Increase an Efficiency of Me...
Design and Implementation of Portable Outdoor Air Quality Measurement System ...
Design and Implementation of Portable Outdoor Air Quality Measurement System ...
Numerical Evaluation of Temperature Distribution and Stresses Developed in Re...
Numerical Evaluation of Temperature Distribution and Stresses Developed in Re...
Environmental impact, personnel health and operational safety aspects of elec...
Environmental impact, personnel health and operational safety aspects of elec...
Similar to IRJET- Air Pollution Prediction System for Smart City using Data Mining Technique: A Survey
A Deep Learning Based Air Quality Prediction
A Deep Learning Based Air Quality Prediction
Dereck Downing
Air Pollution Prediction using Machine Learning
Air Pollution Prediction using Machine Learning
IRJET Journal
IRJET - Prediction of Air Pollutant Concentration using Deep Learning
IRJET - Prediction of Air Pollutant Concentration using Deep Learning
IRJET Journal
Prediction of Air Quality Influential Factors with AtmosphericAir Present Pol...
Prediction of Air Quality Influential Factors with AtmosphericAir Present Pol...
IRJET Journal
IRJET- Air Quality and Dust Level Monitoring using IoT
IRJET- Air Quality and Dust Level Monitoring using IoT
IRJET Journal
POLLUTION MONITORING AND NOTIFICATION SYSTEM USING IOT
POLLUTION MONITORING AND NOTIFICATION SYSTEM USING IOT
IRJET Journal
SMART INDUSTRY MONITORING AND CONROLLING SYSTEM USING IOT
SMART INDUSTRY MONITORING AND CONROLLING SYSTEM USING IOT
IRJET Journal
Air Quality Visualization
Air Quality Visualization
IRJET Journal
HOSTILE GAS MONITORING SYSTEM USING IoT
HOSTILE GAS MONITORING SYSTEM USING IoT
IRJET Journal
Final Synopsis -Bharathi(21-4-23).doc
Final Synopsis -Bharathi(21-4-23).doc
malli36
Air Quality Monitoring and Control System in IoT
Air Quality Monitoring and Control System in IoT
ijtsrd
IOT ENABLED EMBEDDED BASED REAL TIME AIR QUALITY MONITORING SYSTEM
IOT ENABLED EMBEDDED BASED REAL TIME AIR QUALITY MONITORING SYSTEM
MOHAMMED FURQHAN
Ambient air quality monitor - Polludrone
Ambient air quality monitor - Polludrone
Oizom
IRJET- Air Quality Monitoring System using Vehicles Based on the IoT
IRJET- Air Quality Monitoring System using Vehicles Based on the IoT
IRJET Journal
IRJET- Air Quality Monitoring System using Vehicles Based on the IoT
IRJET- Air Quality Monitoring System using Vehicles Based on the IoT
IRJET Journal
EDD Project A35 group. final.pdf Department of ENTC
EDD Project A35 group. final.pdf Department of ENTC
MihirDatir1
IRJET- IoT based Air Pollution Monitoring System using Arduino
IRJET- IoT based Air Pollution Monitoring System using Arduino
IRJET Journal
Ambient dust monitor - Dustroid
Ambient dust monitor - Dustroid
Oizom
Air Pollution Monitoring System
Air Pollution Monitoring System
IRJET Journal
Policing of the Environment by using an Integrated system
Policing of the Environment by using an Integrated system
IRJET Journal
Similar to IRJET- Air Pollution Prediction System for Smart City using Data Mining Technique: A Survey
(20)
A Deep Learning Based Air Quality Prediction
A Deep Learning Based Air Quality Prediction
Air Pollution Prediction using Machine Learning
Air Pollution Prediction using Machine Learning
IRJET - Prediction of Air Pollutant Concentration using Deep Learning
IRJET - Prediction of Air Pollutant Concentration using Deep Learning
Prediction of Air Quality Influential Factors with AtmosphericAir Present Pol...
Prediction of Air Quality Influential Factors with AtmosphericAir Present Pol...
IRJET- Air Quality and Dust Level Monitoring using IoT
IRJET- Air Quality and Dust Level Monitoring using IoT
POLLUTION MONITORING AND NOTIFICATION SYSTEM USING IOT
POLLUTION MONITORING AND NOTIFICATION SYSTEM USING IOT
SMART INDUSTRY MONITORING AND CONROLLING SYSTEM USING IOT
SMART INDUSTRY MONITORING AND CONROLLING SYSTEM USING IOT
Air Quality Visualization
Air Quality Visualization
HOSTILE GAS MONITORING SYSTEM USING IoT
HOSTILE GAS MONITORING SYSTEM USING IoT
Final Synopsis -Bharathi(21-4-23).doc
Final Synopsis -Bharathi(21-4-23).doc
Air Quality Monitoring and Control System in IoT
Air Quality Monitoring and Control System in IoT
IOT ENABLED EMBEDDED BASED REAL TIME AIR QUALITY MONITORING SYSTEM
IOT ENABLED EMBEDDED BASED REAL TIME AIR QUALITY MONITORING SYSTEM
Ambient air quality monitor - Polludrone
Ambient air quality monitor - Polludrone
IRJET- Air Quality Monitoring System using Vehicles Based on the IoT
IRJET- Air Quality Monitoring System using Vehicles Based on the IoT
IRJET- Air Quality Monitoring System using Vehicles Based on the IoT
IRJET- Air Quality Monitoring System using Vehicles Based on the IoT
EDD Project A35 group. final.pdf Department of ENTC
EDD Project A35 group. final.pdf Department of ENTC
IRJET- IoT based Air Pollution Monitoring System using Arduino
IRJET- IoT based Air Pollution Monitoring System using Arduino
Ambient dust monitor - Dustroid
Ambient dust monitor - Dustroid
Air Pollution Monitoring System
Air Pollution Monitoring System
Policing of the Environment by using an Integrated system
Policing of the Environment by using an Integrated system
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Recently uploaded
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
Arindam Chakraborty, Ph.D., P.E. (CA, TX)
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
ssuser89054b
Unleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leap
RishantSharmaFr
2016EF22_0 solar project report rooftop projects
2016EF22_0 solar project report rooftop projects
smsksolar
Call Now ≽ 9953056974 ≼🔝 Call Girls In New Ashok Nagar ≼🔝 Delhi door step de...
Call Now ≽ 9953056974 ≼🔝 Call Girls In New Ashok Nagar ≼🔝 Delhi door step de...
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Thermal Engineering Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
DineshKumar4165
KubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghly
sanyuktamishra911
Thermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.ppt
DineshKumar4165
data_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdf
JiananWang21
DC MACHINE-Motoring and generation, Armature circuit equation
DC MACHINE-Motoring and generation, Armature circuit equation
BhangaleSonal
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Kandungan 087776558899
Hostel management system project report..pdf
Hostel management system project report..pdf
Kamal Acharya
Bhosari ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For ...
Bhosari ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For ...
tanu pandey
Unit 2- Effective stress & Permeability.pdf
Unit 2- Effective stress & Permeability.pdf
RagavanV2
Call Girls in Ramesh Nagar Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
Call Girls in Ramesh Nagar Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Standard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power Play
Epec Engineered Technologies
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Stand
amitlee9823
Generative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPT
bhaskargani46
Water Industry Process Automation & Control Monthly - April 2024
Water Industry Process Automation & Control Monthly - April 2024
Water Industry Process Automation & Control
UNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its Performance
sivaprakash250
Recently uploaded
(20)
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
FEA Based Level 3 Assessment of Deformed Tanks with Fluid Induced Loads
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
Unleashing the Power of the SORA AI lastest leap
Unleashing the Power of the SORA AI lastest leap
2016EF22_0 solar project report rooftop projects
2016EF22_0 solar project report rooftop projects
Call Now ≽ 9953056974 ≼🔝 Call Girls In New Ashok Nagar ≼🔝 Delhi door step de...
Call Now ≽ 9953056974 ≼🔝 Call Girls In New Ashok Nagar ≼🔝 Delhi door step de...
Thermal Engineering Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
KubeKraft presentation @CloudNativeHooghly
KubeKraft presentation @CloudNativeHooghly
Thermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.ppt
data_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdf
DC MACHINE-Motoring and generation, Armature circuit equation
DC MACHINE-Motoring and generation, Armature circuit equation
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Hostel management system project report..pdf
Hostel management system project report..pdf
Bhosari ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For ...
Bhosari ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For ...
Unit 2- Effective stress & Permeability.pdf
Unit 2- Effective stress & Permeability.pdf
Call Girls in Ramesh Nagar Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
Call Girls in Ramesh Nagar Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
Standard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power Play
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Stand
Generative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPT
Water Industry Process Automation & Control Monthly - April 2024
Water Industry Process Automation & Control Monthly - April 2024
UNIT - IV - Air Compressors and its Performance
UNIT - IV - Air Compressors and its Performance
IRJET- Air Pollution Prediction System for Smart City using Data Mining Technique: A Survey
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 990 Air Pollution Prediction System for Smart City using Data Mining Technique: A Survey Heni Patel1, Swarndeep Saket2 1Student of Masters of Engineering, Ahmedabad, Dept. of Computer Engineering, L. J. Institute of Engineering & Technology, Gujarat, India 2Professor, Ahmedabad, Dept. of Computer Engineering, L. J. Institute of Engineering & Technology, Gujarat, India ----------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Air pollution is one ofthemajorhazardsamongthe environmental pollution. As each living organism needs fresh and good quality air for every second. None of thelivingthings can survive without such air. But because of automobiles, agricultural asctivities, factories and industries, mining activities, burning of fossil fuels our air is getting polluted. These activities spread sulphur dioxide, nitrogen dioxide, carbon monoxide, particulate matter pollutants in our air which is harmful for all living organism. The air we breathe every moment causes several health issues. So we need a good system that predicts such pollutions and is helpful in better environment. It leads us to look for advance techniques for predicting the air pollution. So here we are predicting air pollution for our smart city using data mining technique. In our model we are using multivariate multistep Time Series data mining technique using random forest algorithm. Our system takes past and current data and applies them to our model to predict air pollution. This model reduce the complexity and improves the effectiveness and practicability and can provide more reliable and accurate decision for environmental protection departments for smart city. Key Words: Air pollutionprediction,Data mining,Smartcity, Time series, Random Forest Algorithm, Complexity, Effectiveness, Practicable. 1. INTRODUCTION One out of every eight deaths in India can be attributedto air pollution, a study conducted bytheIndianCouncil ofMedical Research (ICMR) and the Union Health Ministry says. In 2017, 12.4 lakh people died due to air pollution, accounting for 12.5 per cent of total deaths in the country. As IQAir Air Visual results(Fig-1) shows out of 15 ,12 most polluted cities are in India. So Air pollution is one of the major hazards among the environmental pollution. As each living organism needs fresh and good quality air for every second. None of the living things can survive without such air. But because of automobiles, agricultural activities, factories and industries, mining activities, burning of fossil fuels our air is getting polluted. These activities spread sulphur dioxide, nitrogen dioxide, Ozone, carbon monoxide, particulate matter pollutants in our air which is harmful for all living organism. Information about this pollutants are given below. Fig-1: IQAir Air visual result of world’s most polluted cities 1. Particulate Matter (PM2.5 and PM10): Particulate matter (PM) is a complex pollutant asitconsistsofa variety of components in different concentrations. The principle source of particulatematterinDelhiis road traffic emissions, particularly from diesel vehicles. It is also emitted from industrial combustion plants and power generation, Commercial and residential combustion, and some non-combustion processes. Particulate matter is further categorized on the basis of its size in micrometers. The particles under 10 micrometers, refers to PM10 sometimes called the ‘coarse fraction’. The particles under 2.5 micrometers, refers to PM 2.5 sometimes called the ‘fine fraction’. PM2.5 is considered to be more damagingtohuman
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 991 health than PM10. The prominent health effects caused due to this are prematuredeath,aggravation of respiratory and cardiovascular disease. 2. Nitrogen Dioxide (NO2): Nitrogen Dioxide is produced during high temperature burning of fuel from road vehicles, heaters and cookers. When this mixes with air, NOx is formed. NOx levels are highest in urban areas as it is related totraffic.Ithas harmful effects such as wide-range of respiratory problems in school children; cough, runnynoseand sore throat etc. 3. Sulphur Dioxide (SO2): It is formed mostly by burning of fossil fuels particularly from power stations, converting woodpulptopaper,production of sulphuric acid, incineration of refused products and smelting. Volcanoes are natural source of emission of sulphur dioxide. This pollutant is the reason for acid rain and has adverse effects on lung functions. 4. Carbon Monoxide (CO): Carbon fuels when burned, either in the presence of too high temperature or too little oxygen, and then CO is formed. Vehicle deceleration and idling vehicleenginesareoneofits main causes. 5. Ozone (O3): It is formed when a chemical reaction of volatile organic compounds and nitrogendioxide occurs in the presence of sunlight, so level of ozone is generally higher in the summer. The air we breathe every moment causes several health issues. So we need a good system that predicts such pollutions and is helpful in better environment. It leadsusto look for advance techniques for predicting the air pollution. So here we are predicting air pollution for our smart city using data mining technique. Our system takes past and current data and applies them to our model to predict air pollution. Also this attributes we use for the prediction. 1. Temperature Temperature affect air qualitybecauseoftemperate inversion: the warm air above cooler air acts like a lid, suppressing vertical mixing and trapping the cooler air at the surface. Aspollutantsfromvehicles, fireplaces, and industry are emitted into the air, the inversion traps these pollutants near the ground. 2. Wind speed Wind speed plays a big role in diluting pollutants. Generally, strong winds disperse pollutants, whereas light winds generally result in stagnant conditions allowing pollutants to build up over an area. 3. Relative Humidity Humidity could affect the diffusion of contaminant. 4. Traffic index The large number of cars on the road cause high level of air pollution and traffic jam may increase the pollutants concentration from vehicles. The definition of traffic index is a index reflecting the smooth status of traffic. The index rangeisfrom0to 10. 0 represents smooth and 10 represents sever traffic jam. 5. Air quality of previous day The air pollution level is influencedbythecondition of the previous day to some extent. If the air pollution level of the previous day is high, the pollutants may stay and affect the following day. The predicting model improves the effectiveness and practicability and can provide more reliable and accurate decision for environmental protection departments for smart city. So here we are using Multivariate MultistepTime series prediction using Random Forest Algorithm. A time series is a series of data points indexed(orlistedorgraphed) in time order. Most commonly, a time series is a sequence taken at successiveequallyspaced pointsintime. Thus it is a sequence of discrete-time data. Time series forecasting is the use of a model to predict future values based on previously observed values. 2.USAGE OF DATA MINING FOR PREDICTION Prediction in data mining is to identify data points purely on the description of another related data value. It is not necessarily related to future events but the used variables are unknown. Prediction derives the relationship betweena thing you know and a thing you need to predict for future reference. Fig-2: Basic flow diagram of Data Mining for knowledge discovery
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 992 Here is the list of steps involved in knowledge discovery process: Data Cleaning - In this step the noise and inconsistent data is removed. Data Integration - In this step multiple data sources are combined. Data Selection - In this step relevant to the analysis task are retrieved from the database. Data Transformation - In this step data are transformed or consolidated into forms appropriatefor mining by performing summaryor aggregation operations. Data Mining - In this step intelligent methods are applied in order to extract data patterns. Pattern Evaluation - In this step, data patterns are evaluated. Knowledge Presentation - In this step, knowledge is represented. Here are the main types of Data mining algorithms. Fig-3: Basic Data Mining Algorithms 1. Classification: These algorithms put the existing data (or past data) into various ‘classes’ (hence classification) based on their attributes (properties) and use that classified data to make predictions. 2. Regression: These algorithms build a mathematical model based on existing data elements and use that model to predict one or more data elements are mostly used with numbers such as profit, cost, real estate values etc. The primary difference between classification algorithms and regression algorithms is the type of output in that regressionalgorithms predict numeric values whereas classification algorithms predict a ‘class label’. 3. Segmentation or clustering: These algorithms divide data into groups, or clusters, of items that have similar properties. 4. Association: These algorithms find some relation (technically called correlation) between different attributes or properties in existing data and attempt to create‘association’ rules to be used forpredictions.The algorithms find items in data that frequently occur together. 5. Sequence analysis: These algorithms find frequent sequences in data (Ex: Series of clicks in a web site, or a series of log events preceding machine breakdown). 6. Timeseries: These algorithms are similar to regression algorithms in that they predict numerical values but time series is focused on forecasting futurevalues ofan ordered series and alsoincorporateseasonalcycles(ex: warehouse inventory management). 7. Dimensional ReductionAlgorithms: Somedatasetsmay contain many variables making it almost impossible to identify the important variables with an impact on prediction.Dimensionreducingalgorithmshelpidentify the most important variables. 2.1. MULTIVARIATE MULTISTEP TIME SERIES PREDICTION USING RANDOM FOREST Multivariate is a popular statistical tool that uses multiple variables to forecast possible outcomes. Predicting multiple time steps into the future is called multi- step time series forecasting. Making predictions about the future is called extrapolation in the classical statistical handling of timeseries data.More modern fields focusonthe topic and refer to it as time series forecasting. Components of Time Series: Time series analysis provides a body of techniques to better understand a dataset. Perhaps the most useful of these is the decomposition of a time series into 4 constituent parts: Level: The baseline value for the series if it were a straight line.
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 993 Trend: The optional and often linear increasing or decreasing behavior of the series over time. Seasonality: The optional repeating patterns or cycles of behavior over time. Noise: The optional variability in the observations that cannot be explained by the model. Random forest algorithm is a supervised classification algorithm. As the name suggest, this algorithm creates the forest with a number of trees. In general, the more trees in the forest the more robust the forest looks like. In the same way in the random forest classifier,the higherthe number of trees in the forest gives the high accuracy results.Sohere we are going to use all this technique to make prediction of air pollution in smart cities. 3. RELATEDWORK In this section, we discuss the different papers related to air pollution prediction technique. We take all the recent years papers. Shweta Taneja, Dr. Nidhi Sharma, Kettun Oberoi, Yash Navoria, proposed paper of Predicting Trends in Air Pollution in Delhi using Data Mining.InthisPaper,Theyhave used time series analysis method for analyzing the pollution trends in Delhi and predicting about the future. The time series method includes Multilayer Perceptron and Linear Regression[1]. In Elseviere(2018) paper, Forecasting air pollution load in Delhi using data analysis tools. In this paper, A systematic approach has been followed in this analysis. The approach starts with the collection of dataset from CPCB. Collected data has been pre processed to remove the redundancy. Pre processing of data includes steps like parsing of dates, noise removal, cleaning, training and scaling. Further, descriptive analysis has been carried out on two different platforms- Rstudio and Tableau for different stations.Forobservingthe forecasted results, predictive analysis has been done[2]. KRZYSZTOFSIWEK,STANISŁAWOSOWSKI,Proposed paper for Data Mining methods for Prediction of Air Pollution. The paper will discuss the numerical aspects of the air pollution prediction problem, concentrating on the methods of data mining used for building the most accurate model of prediction. In this paper feature selection is done by using the genetic algorithm (GA). The application of several predictors and feature selection methods allowed integrating their results into one final forecast. The best results of integration were obtained in the directapplication of selected features to the RF, performing at the same time the role of regression and integration[3]. In Springer (2019) Paper, Prediction of Air Quality Using Time Series Data Mining. Many of the modern databases are temporal, which makes the task of studying and developing time series data mining techniques an important and much needed task. Time series data mining identifies time- dependent features from time series databases. These features are used for building predictive models. This paper proposes an efficient algorithm to predict the concentration of the various air pollutants by using time series datamining techniques. The time series datamining algorithm CTSPD or Continuous Target Sequence Pattern Discovery has been used for the prediction of air pollutants. The predictions made by the proposed solution are compared with the predictions made by SAFAR-India and found that the proposed solution provides more accurate results. By studying the obtained air quality patterns, it was found that the concentration of a pollutant need not depend on all the other pollutants[4]. In Springer (2018) Paper, Air Pollution Prediction Using Extreme Learning Machine: A Case Study on Delhi. In this work multi-variable linear regression model of ELM is used to predict air quality index for PM10, PM2.5, NO2, CO, O3. In the proposed model, the previous day air quality index of pollutants and meteorological conditions are used for prediction. Performance of the proposed model was compared with the prediction of an existing prediction system, SAFAR as well as with the actual values of next day. ELM-based prediction was found to have greater accuracy than the existing[5]. Khaled Bashir Shaban, SeniorMember,IEEE,AbdullahKadri, Member, IEEE, and Eman Rezk Proposed Paper of Urban Air Pollution Monitoring System With Forecasting Models. In this paper air quality data are collected wirelessly from monitoring motes that are equipped with an array of gaseous and meteorological sensors. Thesedata areanalyzed and used in forecasting concentration values of pollutants using intelligent machine to machine platform.Theplatform uses ML-based algorithms to buildtheforecastingmodelsby learning from the collected data. These models predict 1, 8, 12,nd 24 hours ahead of concentration values. Based on extensive experiments, M5P outperforms other algorithms for all gases in all horizons in terms of NRMSE and PTA because of the tree structure efficiency and powerful generalization ability. On the other hand, ANN achieved the worst results because of its poor generalizationabilitywhen working on small dataset with many attributes that leads to a complex network that overfit the data, while having SVM better than ANN in our case due to its adaptability with high dimensional data[6]. Table -1: Comparison Table PUBLICATI ON TITLE METHOD LIMITATION IEEE, Predicting Trends in Linear regression, Linear regression
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 994 2016 Airpollution in Delhi using Data Mining. Multilayer perceptron, Time series analysis only looks at linear relationships between dependent and independent variables. Sometimes this is incorrect. IEEE, 2016 Air Pollution Monitoring System With Forecasting Models. SVM(Suppor t Vector Machine),A NN(Artificia l neural Network) Neural Networks requires filling missing values and converting categorical data into numerical. We need to define the NN architecture. Also in NN selection of number of neurons also a very difficult task. AMCS,2016 Data mining methods for prediction of air pollution SVM Regression RF_fusion SVM algorithm is not suitable for large data sets. SVM does not perform very well, when the data set has more noise. Springer, 2018 Pollution prediction using extreme learning machine: a case study on delhi. ELM(Extre me Machine Learning) ELM is much faster to train, but cannot encode more than 1 layer of abstraction, so it cannot be "deep". Elseviere, 2018 Forecasting air pollution load in Delhi using data analysis tools. Time series regression Here we are using time series with regression.so again regression is limited to the linear relationship. it is easily affected by outliers. Springer, 2019 Prediction of Air Quality Using Time Series Data Mining. CTSPD(Cont inuous Target Sequential Pattern Discovery) The main drawbacks Sequential pattern mining in particular,are: the large amount of discovered pat terns; its inability to use background knowledge; and the lack of focus on user expectations. 4. PROPOSED WORK Fig-4: Workflow of proposed method for Air Pollution Prediction As shown above the proposed model is divided in to five stages:
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 12 | Dec 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 995 Stage 1 Data Collection: Here we are collecting all the data of attribute which are affect the air pollution. There are many sensors available in smart cities which sense the pollutants. Stage 2 Data Preprocessing: data are cleaned by removing noise and filling up the missing values. Stage 3 Feature Selection using GA: Feature selection is the process of finding the most relevant inputs for predictive model. These technique can be used to identify and remove unneeded, irrelevant and redundant features that do not contribute or decrease the accuracy of the predictive model. Stage 4 Multivariate Multistep Time Series PredictionUsing Random Forest: In this stage we are taking multivariate multistep time series data and using random forest algorithm we are predicting the air pollution. There are multiple trees and each tree is trained on a subset of time series data. Stage 5 Prediction: Here our system predict the air pollution. 5. CONCLUSION The proposed system will definitely help in improving the prediction of air pollution in our smart city. Multivariate Multistep Time Series Prediction Using Random Forest technique improve the the performance and reduce the complexity of theairpollutionpredictionmodel.Alsoherewe are using feature selection technique which make our prediction even better. REFERENCES [1] Shweta Taneja, Dr. Nidhi Sharma, Kettun Oberoi, Yash Navoria ,”Predicting Trends in Air Pollution in Delhi using Data Mining”, IEEE(2016) [2] NidhiSharmaa,ShwetaTanejab*,VaishaliSagarc,Arshita Bhattd, “ForecastingairpollutionloadinDelhiusingdata analysis tools.”, Elseviere (ICCIDS 2018) [3] KRZYSZTOF SIWEK, STANISŁAW OSOWSKI,” Data mining methods for prediction of Air Pollution”, amcs(2016) [4] Mansi Yadav, Suruchi Jain and K. R. Seeja,” Prediction of Air Quality Using Time Series Data Mining”, Springer (2019) [5] Manisha Bisht and K.R. Seeja,” Air Pollution Prediction Using Extreme Learning Machine: A Case Study on Delhi.”, Springer(2018) [6] Khaled Bashir Shaban, Senior Member, IEEE, Abdullah Kadri, Member, IEEE, and Eman Rezk,” Air Pollution Monitoring System With Forecasting Models.”, IEEE(2016) [7] Khaled Bashir Shaban, Abdullah Kadri, Eman Rezk, ”Urban Air Pollution Monitoring System With Forecasting Models”,IEEE SENSORS JOURNAL, VOL. 16, NO. 8, APRIL 15, 2016 [8] Forecasting Criteria Air Pollutants Using Data Driven Approaches; An Indian Case Study Tikhe Shruti, Dr. Mrs. Khare , Dr. Londhe ,IOSR-JESTFT (Mar. - Apr. 2013) [9] Forecasting Criteria Air Pollutants Using Data Driven Approaches; An Indian Case Study Tikhe Shruti, Dr. Mrs. Khare , Dr. Londhe,IOSR-JESTFT (Mar. - Apr. 2013) [10] Air Quality Forecasting Methods, https://www.airvisual.com/air-pollution- information/research/air-quality-forecast-methods [11] Multivariate Multistep Time series Forecasting model for Air Pollution. https://machinelearningmastery.com/how-to-develop- machine-learning-models-for-multivariate-multi-step- air-pollution-time-series-forecasting/K. Elissa, “Title of paper if known,” unpublished. [12] Yi-Ting Tsai, Yu-Ren,Zeng, Yue-Shan Chang, “Air pollution forecastingusingRNNwithLSTM”,IEEE(2018) [13] Min Huang, TaoZhang, Jingyang Wang and LikunZhu,”A New Air Quality Forecasting Model Using Data Mining and Artificial Neural Network”, IEEE,(2015) [14] Gaganjot Kaur Kang, Jerry Zeyu Gao, Sen Chiao, hengqiang Lu, and Gang Xie,” Air Quality Prediction: Big Data and Machine Learning Approaches” , International Journal of Environmental Science and Development,Vol. 9, No. 1, January 2018 [15] Ebrahim Sahafizadeh, Esmail Ahmadi,” Prediction of Air Pollution of Boushehr City Using Data Mining”, 2009 Second International Conference on Environmental and Computer Science.
Download now