A Framework of In-Situ Sensor Data Processing System for Context Awareness

Jung, Young Jin; Lee, Yang Koo; Lee, Dong Gyu; Mi, Park; Ryu, Keun Ho; Kim, Hak Cheol; Kim, Kyung Ok

doi:10.1007/978-3-540-37256-1_16

Cited by 7 publications

(2 citation statements)

References 6 publications

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“…Figure 6 shows the user interface of the air pollution monitoring system, which is based on the proposed framework for context awareness discussed in [ 28 ]. It consists of a sensor information bar, a view, and a navigation panel.…”

Section: Methodsmentioning

confidence: 99%

Design of Sensor Data Processing Steps in an Air Pollution Monitoring System

Jung

Lee

et al. 2011

Sensors

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Environmental monitoring is required to understand the effects of various kinds of phenomena such as a flood, a typhoon, or a forest fire. To detect the environmental conditions in remote places, monitoring applications employ the sensor networks to detect conditions, context models to understand phenomena, and computing technology to process the large volumes of data. In this paper, we present an air pollution monitoring system to provide alarm messages about potentially dangerous areas with sensor data analysis. We design the data analysis steps to understand the detected air pollution regions and levels. The analyzed data is used to track the pollution and to give an alarm. This implemented monitoring system is used to mitigate the damages caused by air pollution.

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Section: Methodsmentioning

confidence: 99%

Design of Sensor Data Processing Steps in an Air Pollution Monitoring System

Jung

Lee

et al. 2011

Sensors

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“…It enables to utilize the proposed technique to data stream management system(DSMS) or u-Healthcare. A system that applies the query index prevents natural disasters with actuators or informs to users through the on-line messages [9]. They have an advantage that processes concurrently a number of queries as using the query index.…”

Section: Figure 1 Application Of Query Indexmentioning

confidence: 99%

Hashed Multiple Lists: A Stream Filter for Processing Continuous Query with Multiple Attributes in Geosensor Networks

Lee

Jung

Lee³

et al. 2008

2008 IEEE 8th International Conference on Computer and Information Technology Workshops

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Many researches for processing continuous query are important to be processed in real time on data stream environments. Continuous query should be inserted and searched in real time on data stream environments. Some indexing techniques are applied in order to process continuous queries. Previous work is not able to support the dynamic insertion and deletion operation for building an index previously. The performance of insertion and search operation are also slowed because of large number and wide range of interval inserted. Therefore, in order to solve those problems, we propose Hashed Multiple Lists to process continuous queries in real time in geosensor networks. Proposed technique shows the fast linear insertion and search performance in the performance evaluation. It can be utilized the location based service, uHealthcare, data stream management system, and context-awareness system.

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Geosensor Data Abstraction for Environmental Monitoring Application

Jung

Nittel

2008

Geographic Information Science

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A Framework of In-Situ Sensor Data Processing System for Context Awareness

Cited by 7 publications

References 6 publications

Design of Sensor Data Processing Steps in an Air Pollution Monitoring System

Design of Sensor Data Processing Steps in an Air Pollution Monitoring System

Hashed Multiple Lists: A Stream Filter for Processing Continuous Query with Multiple Attributes in Geosensor Networks

Geosensor Data Abstraction for Environmental Monitoring Application

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