Title :
A data management system for AirScope
Author :
Guohua Li ; In Chae Jeong ; Sang Boem Lim
Author_Institution :
Dept. of Adv. Technol. Fusion, Konkuk Univ., Seoul, South Korea
Abstract :
Air pollution threatens our health and exacerbates respiratory diseases such as bronchitis and asthma; therefore, many researchers and organizations are interested in the study of air pollution and emissions. In this paper, we will discuss a data management system for a micro-scale urban air quality management system. Using small sensors, this system automatically senses temperature, humidity, air pressure, dust, and so on. Then, we will discuss the possibility of allowing for the integration of data applications with metadata management systems. We will also describe the design procedure for the sensor information using SensorML.
Keywords :
air pollution control; air pollution measurement; computerised instrumentation; data integration; diseases; environmental science computing; meta data; sensors; AirScope; SensorML; air emissions; air pollution; asthma; bronchitis; data integration; data management system; metadata management systems; microscale urban air quality management system; respiratory diseases; sensor information; Air Quality Monitoring; Data Management; Sensor Network;
Conference_Titel :
Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-0876-2
