TY  - JOUR
AU  - Salman, Ayed A. 
AU  - Al-Anzi, Fawaz S. 
PY  - 2016
TI  - Autonomous Online Predictive Monitoring System for Hazardous Air Pollution Prediction: A Case Study
JF  - American Journal of Environmental Sciences
VL  - 12
IS  - 3
DO  - 10.3844/ajessp.2016.131.139
UR  - https://thescipub.com/abstract/ajessp.2016.131.139
AB  - Environment is increasingly becoming an important issue in the world of politics and global economy as well as people's life. Environmental deterioration resulted from human activity; misuse of natural resources. Pollution is now a global issue that ecologically, economically and politically requires imminent, intelligent and global solutions. This paper present findings and results of a real project, supported by the Environmental Public Authority of Kuwait, intended to design, implement and test an autonomous intelligent system responsible for online monitoring and assessing hazardous air pollution in industrial areas in the state of Kuwait. The system is capable of acquiring data from sensors planted into the industrial area and communicates its captured data through wireless network to a server. The server analyzes and learns from data. The system goes further by introducing the idea of “self-controlled decision-making” process. The findings presented here show great promises for such approach and discuss several design issues in such environment.