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The IEEE International Workshop M & N represents a forum for researchers and practitioners from industry, academia, and government involved in the area of modelling, measurement and quantitative evaluation of communication networks, sensor networks and distributed infrastructures.
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This paper describes an unmanned aerial vehicle (UAV) ice tracking framework for use in sea ice management applications. The framework is intended to be used in an ice management scenario where the UAV should detect and track the movement of icebergs and ice floes in an Arctic environment, and seeks to enable the UAV to do so autonomously. This is achieved by using an occupancy grid map algorithm and a locations of interest generator coupled with a Model Predictive Control (MPC) UAV path planner. The main contribution of this paper is interfacing the occupancy grid map algorithm with a machine vision object detection module in order to enable the UAV to generate an occupancy grid map of a pre-defined search area in real-time using on-board processing of UAV sensor data. Further, the paper presents a locations of interest generator module which generates locations that the UAV should investigate based on the generated occupancy grid map. These locations of interest are then used by an MPC path planner in order to make the UAV autonomously investigate and track ice features at said locations. Furthermore, the paper verifies the use of the developed ice tracking framework for autonomously detecting and tracking ice features based on thermal images captured with a UAV, as well as verifying the usefulness and role of UAVs in ice management scenarios by conducting two flight experiments.
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"Have you ever seen lights turn on automatically when you step into a restroom? This curricular, STEM-focused title will explore how robotic sensors can help save energy, keep people safe, and make life more convenient."--
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This book, 'Gestion énergétique dans les réseaux de capteurs sans fil,' written by Youcef Touati, Arab Ali-Chérif, and Boubaker Daachi, explores energy management strategies in wireless sensor networks (WSN). It emphasizes the insufficiency of hardware solutions alone for ensuring network efficiency and longevity, advocating for software solutions. The authors present various low-consumption protocols and routing mechanisms that span multiple deployment levels to optimize energy usage. The book targets researchers and practitioners in the fields of wireless networks, robotics, and Brain-Computer Interfaces, providing insights into methods of routing and security within WSNs. The text serves as a comprehensive resource for understanding the integration of energy-efficient strategies in sensor networks.
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