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

fYear

2012

fDate

23-25 Oct. 2012

Firstpage

340

Lastpage

343

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;

fLanguage

English

Publisher

ieee

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

Type

conf

Filename

6528653