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1 Humanitas College, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 130-701, Republic of Korea 2Department of Computer Science, The University of Alabama, P.O. Box 870290, Tuscaloosa, AL 35487-0290, USA 3Department of Computer Science and Information Engineering, National Taipei University, No. 151 University Road, San Shia District, New Taipei City 23741, Taiwan 4 School of Engineering & Applied Science, Aston University, Birmingham B4 7ET, UK

Since the fire causes serious disasters, fire detection has been an important study to protect human life. Based on the deficiencies of existing fire detection on real-time and monitoring accuracy, the wireless sensor network technique for fire detection was introduced and needed. In this paper, we proposed the fire detection algorithm in video sequences on wireless sensor network. The proposed fire detection algorithm processes visual information acquired through static camera that lets us incorporate the algorithm to CCTV surveillance system, and therefore does not require an additional expanses on conventional fire sensors. Fire detection method based on motion information, any input image, is compared to background in order to identify foreground. Background is statistically modeled by mixture of Gaussians. To detect the foreground of video sequences, the proposed color detection algorithm was performed in RGB space. The procedure of algorithm eliminates all objects that do not fulfill color requirements without fire-like objects. And the change map and blob's area are computed, change map shows temporal variation of pixel between two consecutive binary frames, and percentage area increase or decrease characterizes a fire property for swinging.

The process of creating secure embedded systems with sensor network is highly challenging and complex, particularly from a technical viewpoint. A secure embedded system is used for a specific purpose and operation, and needs hardware-software codesign methodology. As such, there are many considerations in terms of system design when the system developer creates or constructs a secure embedded system with sensor network. However, there is a lack of research into quality models in the area of secure embedded systems in sensor network. This paper seeks to redress this issue by presenting a quality model for a secure embedded system with sensor network. Each quality for the secure embedded system is constructed according to DeLone and McLean's success information system, and has subcriteria according to their characteristics. The present research also focuses on making a quality model network which considers the correlation between the qualities' attributes.

RFID is a new trend in industrial technology such as manufacturing system and product flow management in the supply chain. A successful RFID application can enhance the industrial technology change in organizations and help to manage growth in an increasingly competitive environment. Recently, the RFID sensor tag has also recently received a great deal of attention. In general, the RFID sensor was designed to collect environmental information such as temperature, pressure, humidity, inclination, and acceleration into ordinary RFID tags for internal information processing. In this environment, to apply the RIFID technique to manufacturing systems successfully and efficiently, identifying accurate quality attributes and making a quality model for a RFID enabled application system are necessary. However the research in this area is lacking. This paper focuses on identification of the quality attributes for the RFID application system and making the corresponding model. Each criterion for the quality model was extracted in accordance with ISO/IEC 9126 and the DeLone and McLean model. The proposed quality model also considers the relationship between their criteria.