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81. CUMAS: a seafloor multi-sensor module for volcanic hazard monitoring - First long-term experiment and performance assessment

Iannaccone, G.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia, Guardato...

A seafloor multi-sensor module with real-time data transmission, named CUMAS (Cabled Underwater Module for Acquisition of Seismological data), has been deployed in January 2008 in the Gulf of Pozzuoli...

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82. NEW ACOUSTIC SENSORS

G.M. SESSLER,

New developments in the field of microphones or acoustic sensors, based on the silicon, optic-waveguide, and polymer technologies are discussed. The silicon sensors are produced on silicon wafers with...

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83. Planning sensor locations for the detection of radioactive plumes for Norway and the Balkans

K.B. Helle, L. Urso, P. Astrup, T. Mikkelsen, J.C. Kaiser, E. Pebesma, C. Rojas-Palma, E. Holo, J.E....

Locations of gamma dose rate sensors have often been chosen by administrative or geometrical criteria. Nowadays computational capacity allows for a more realistic basis. We use simulations of potentia...

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84. Sensor-Friendly Freeways: Investigation of Progressive Roadway Changes to Facilitate Deployment of AHS

Misener, James A., Griffiths, Paul, Johnson, Lee, Segal, Andy,

Intelligent "driver assistance" systems which utilize in-vehicle forward-looking sensors can be supplemented by vehicle-vehicle and vehicle-highway cooperative elements to comprise a "sensor-friendly"...

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85. Entropy-based Sensor Selection Heuristic for Target Localization

Wang, H B, Yao, K, Pottie, Gregory, Estrin, D,

We propose an entropy-based sensor selection heuristic for localization. Given 1) a prior probability distribution of the target location, and 2) the locations and the sensing models of a set of candi...

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86. Lower Bounds of Localization Uncertainty in Sensor Networks

Wang, H B, Yip, L, Yao, K, Estrin, D,

Localization is a key application for sensor networks. We propose a Bayesian method to analyze the lower bound of localization uncertainty in sensor networks. Given the location and sensing uncertaint...

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87. Contour maps: Monitoring and diagnosis in sensor networks

Meng, Xiaoqiao Q, Nandagopal, T, Li, L, Lu, S W,

Large-scale sensor networks impose energy and communication constraints, thus it is difficult to collect data from each individual sensor node and process it at the sink. In this paper, we propose an ...

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88. Mobile Robot Navigation With Low-Cost Sensors

Yap, Teddy Ng,

Mobile robots are becoming ubiquitous and an essential part of our everyday lives. They are increasingly taking their place in service-oriented applications including domestic and entertainment roles....

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89. Health Monitoring of Drive Connected Three-Phase Induction Motors ----- From Wired Towards Wireless Sensor Networks

Xue, Xin,

Wireless sensor network (WSN), one of the featured technologies that the U.S. Department of Energy (DOE) has identified to help improve the overall energy efficiency of US industry, provides a potenti...

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90. MAC and Routing Protocols for Mobile Underwater Acoustic Sensor Swarms

Noh, Young Tae,

Underwater Acoustic Sensor Networks (UW-ASNs) have recently been proposed as a way to explore and observe the ocean, which covers two-thirds of the Earth's surface. In particular, we consider a SEA Sw...

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