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XML Based Heterogeneous Sensory Data Management System
와카스 나와즈(Waqas Nawaz),무하머디 파힘(Muhammad Fahim),이승룡(Sungyoung Lee),이영구(Young Koo Lee) 한국정보과학회 2011 한국정보과학회 학술발표논문집 Vol.38 No.1B
The Wireless sensor networks (WSN) continuously generates large volumes of raw data which own natural heterogeneity. These networks are normally application specific with no sharing or reusability of sensor data among applications. In order for applications and services to be developed independently of particular network, sensor data need to be available in more standardized form. In this paper, we propose Architecture for Sensory data management. This Extensible Markup Language (XML) oriented architecture allows the sensor data to be understood and processed in a meaningful way by a variety of applications with different purposes. We developed a middle layer which performs transformation on raw sensory data to XML and vice versa.
와카스나와즈 ( Waqas Nawaz ),무하머디파힘 ( Muhammad Fahim ),이승룡 ( Ungyoung Lee ),이영구 ( Young Koo Lee ) 한국정보처리학회 2011 한국정보처리학회 학술대회논문집 Vol.18 No.1
In the area of data fusion, dealing with heterogeneous data sources, numerous models have been proposed in last three decades to facilitate different application domains i.e. Department of Defense (DoD), monitoring of complex machinery, medical diagnosis and smart buildings. All of these models shared the theme of multiple levels processing to get more reliable and accurate information. In this paper, we consider five most widely acceptable fusion models (Intelligence Cycle, Joint Directors of Laboratories, Boyd control, Waterfall, Omnibus) applied to different areas for data fusion. When they are exposed to a real scenario, where large dataset from heterogeneous sources is utilize for object monitoring, then it may leads us to non-efficient and unreliable information for decision making. The proposed variation works better in terms of time and accuracy due to prior data diminution.