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Wildfire Detection: Cutting-Edge Early Warning Systems

Innovative AI and sensor tech enhance early wildfire detection, enabling rapid response to mitigate disaster impacts. ....

United States , Los Angeles , Bilanol Shutterstock , Laura Thomson , Owais Alifeb , Owais Ali , Anthony Wexler , Uc Davis Air Quality Research Center , National Interagency Fire Center , Smart Sensor Networks , Drone Research Advances Wildfire Monitoring , European Space Agency , Los Angeles Times , Dryad Networks , Early Wildfire Detection , Brandenburg Forest , Cal Fire , Powered Fire , Integrated Wildfire Detection , Remote Sensing , Early Wildfire Detection Technologies , These Electronic , Nose Can Sniff Out Wildfires , Alert Fire Authorities Using , New Drone Research Advances Wildfire , Adaptable Deep Learning Model ,

"Event-triggered distributed moving horizon estimation for smart sensor" by Chenhui Xu, Defeng He et al.

This paper addresses the distributed state estimation problem of smart sensor networks affected by fading channels and constraints. An event-triggered distributed moving horizon estimation method is proposed from a robust perspective. Specifically, by considering the worst-case scenario of fading channels, the estimator in our proposed method is formulated as a minimax optimization problem with bound constraints. An event trigger mechanism (ETM) is incorporated to regulate information exchange among nodes. Sufficient conditions ensuring the local input-to-state consistent stability (LISCS) and the input-to-state stability (ISS) of estimation errors are established. To satisfy these conditions, the estimator’s parameters are derived by solving linear matrix inequalities (LMIs). Additionally, two approximate solutions for the estimator are presented to reduce the computational burden of online estimation. Finally, the simulation comparison and experimental results demonstrate the effec ....

Istributed Moving Horizon Estimation , Estimation Error , Event Trigger , Fading Channels , Nput To State Stability , Intelligent Sensors , Obust State Estimation , Smart Sensor Networks , State Estimation , Ymmetric Matrices ,

Intelligent Technologies for Building Resilient Cities

To build healthier, more resilient, efficient, comfortable, engaging, and intelligent communities for the future, modern city managers are deploying sensors. ....

United Kingdom , Technology For Resilient Cities , Big Data Society , United Kingdom Quantum Technology Hub Sensors , Smart Sensor Networks , Mckinsey Global Institute , University Of Birmingham , Building Resilient , Kinsey Global Institute , Industry Focus , Emergency Response , Smart Sensors , Smart Sensor , Resilient City , Intelligent Technologies ,