0% Complete
فارسی
Home
/
چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Presenting an Edge-based Air Quality Management System for Smart City Scenarios
Authors :
Tina Samizadeh Nikoui
1
Ali Balador
2
Amir Masoud Rahmani
3
Hooman Tabarsaied
4
1- دانشگاه علوم و تحقیقات تهران
2- Malardalen
3- دانشگاه آزاد اسلامی واحد علوم و تحقیقات تهران
4- تهران جنوب
Keywords :
Edge computing،Smart city،Air quality management system،Message queuing system،Container-based infrastructure
Abstract :
The IoT as a fast-growing topic attracts attention from the research communities and business owners, since the IoT paradigm can improve the ease of life and present new opportunities. The smart city scenario presents technology-based facilities for citizens to improve life quality, public safety and disaster management. Smart city context includes multiple subsystems with massive numbers and different types of IoT devices. In this study, we have focused on presenting an edge-based air quality management system with a requirement analysis phase as the first step to outline the essential requirements. Considering this phase, the presented architecture is defined to improve the availability, scalability, interoperability and provide data analysis and alerting functionalities. The system is also implemented using open-source technologies to decrease the cost of development and improve time to market. Moreover, a number of REST APIs are provided to achieve higher interoperability and more efficient integration. The system is evaluated using real data which indicates that using this model can improve the time efficiency in addition to meeting the non-functional requirements.
Papers List
List of archived papers
IoT-Driven Water Quality Management System using Deep Q-Network
Shakiba Rajabi - Komeil Moghaddasi
KGLM-QA: A Novel Approach for Knowledge Graph-Enhanced Large Language Models for Question Answering
Alireza Akhavan safaei - Pegah Saboori - Reza Ramezani - Mohammadali Nematbakhsh
The risk prediction of heart disease by using neuro-fuzzy and improved GOA
Vahid Safari Dehnavi - Masoud Shafiee
A Neural-based Approach to Aid Early Parkinson's Disease Diagnosis
Dr Armin Salimi-badr - Mohammad Hashemi
Vi-Net: A Deep Violent Flow Network for Violence Detection in Video Sequences
Tahereh Zarrat Ehsan - Seyed Mehdi Mohtavipour
Automatic identification and reconstruction of Tuberculosis in microscopic images using convolutional auto-encoder network
Ahmad Reza Nadafi - Farahnaz Mohanna
A Topic Based Method to Classify the Question Clarity in CQA Networks
Alireza Khabbazan - Dr Ahmad Ali Abin
ارائه تکنیک یادگیری چندهسته ای مبتنی بر روش بهینه سازی برای مسئله دسته بندی سیگنال های EEG مبتنی بر تصور حرکتی
یوکابد امیری - حسام عمرانپور
A New Method Based on Deep Learning and Time Stabilization of the Propagation Path for Fake News Detection
Fatemeh Torgheh - Dr Mohammad Reza Keyvanpour - Dr Behrooz Masoumi
Prompt-Based Composed Fashion Image Retrieval via Gated Detail-Enhanced Dual Cross-Attention Difference Modeling
Kosar Keshavarz - Reza Azmi
more
Samin Hamayesh - Version 44.5.0