The sensor is the front-end component of bridge structural health monitoring system. In this study, three fault diagnosis methods based on principal element analysis are applied to a diagnostic results show that significant differences among operating conditions will deteriorate robustness methods. applicability method verified practical

Resource aware operation of sensor networks requires adaptive re-organization to dynamically adapt to the operational environment. A complex dynamical system of interacting components (e.g., computer network and social network) is represented as a graph, component states as spins, and interactions as ferromagnetic couplings. Using an Isinglike model, the sensor network is shown to adaptively se...

This paper considers the problems of sensor data publication, taking advantage of research on components and Web service standards. Sensor data is widely used in scientific experiments – e.g., for model validation, environment monitoring, and calibrating running applications. Heterogeneity in sensing devices hamper effective use of their data, requiring new solutions for publication mechanisms....

Flight test results and lessons learned are presented for a helicopter UAV low-altitude navigation and landing system. Results are given for both urban and natural settings. The navigation component uses a quasi-3D A* approach to route planning that enables maneuver through complex terrain using real-time sensor data. The landing component performs landings to sites that it determines to be saf...

Principal Component Analysis based anomaly detection approaches have been extensively studied recently. However, none of these approaches address the problem of anomaly localization. In this paper, we proposed a novel approach based on PCA to perform anomaly detection and localization in sensor network simultaneously. By enforcing the joint sparsity across the Principal Component in the abnorma...