'Sensor readings' diaporamas de présentation

MAE 1202: AEROSPACE PRACTICUM

MAE 1202: AEROSPACE PRACTICUM. Lecture 5: Compressible and Isentropic Flow 1 February 11, 2013 Mechanical and Aerospace Engineering Department Florida Institute of Technology D. R. Kirk. READING AND HOMEWORK ASSIGNMENTS. Reading: Introduction to Flight , by John D. Anderson, Jr.

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Localized Fault-Tolerant Event Boundary Detection in Sensor Networks

Localized Fault-Tolerant Event Boundary Detection in Sensor Networks. Min Ding, Dechang Chen?, Kai Xing and Xiuzhen Cheng Computer Science, The George Washington University ?Uniformed Services University of the Health Sciences IEEE INFOCOM 2005 Speaker: Shin-Wei Ho. Outline. Introduction

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Toward Object Discovery and Modeling via 3-D Scene Comparison

Toward Object Discovery and Modeling via 3-D Scene Comparison. Evan Herbst , Peter Henry, Xiaofeng Ren , Dieter Fox University of Washington; Intel Research Seattle. Overview. Goal: learn about an environment by tracking changes in it over time

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Alessandro Bogliolo , Valerio Freschi, Emanuele Lattanzi, Amy L. Murphy and Usman Raza

Towards a True Energetically Sustainable WSN: A Case Study with Prediction-Based Data Collection and a Wake-up Receiver. Alessandro Bogliolo , Valerio Freschi, Emanuele Lattanzi, Amy L. Murphy and Usman Raza. A Motivating Case Study: Adaptive Lighting with WSNs.

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Behaviors & Sensors

Behaviors & Sensors. Robotics Seminar CSI445/660 Spring 2006 Robert Salkin University at Albany, SUNY. Homework Issues.

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The George Washington University Electrical & Computer Engineering Department ECE 002

The George Washington University Electrical & Computer Engineering Department ECE 002. Dr. S. Ahmadi Lab 1. Class Agenda. Digital Sensors Analog Sensors Light Sensors. Optical Rangefinder Sensors. Ultrasonic Sensors (Sonar). Analog Sensor Characterization.

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POT : An Efficient Top- k Monitoring Method for Spatially Correlated Sensor Readings

POT : An Efficient Top- k Monitoring Method for Spatially Correlated Sensor Readings. YongHyun Cho, Jihoon Son and Yon Dohn Chung Data management for sensor networks 2008. Outline. Introduction Partial Ordered Tree Simulation Conclusion. Introduction.

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Predictive Maintenance

Predictive Maintenance. ??? (Roger Jang) jang@mirlab.org http://mirlab.org/jang ???? ??? MIR ???. Problem Definition. Given a set of training data Input: A set of wafers with their sensor readings Output: Maintenance stage (1-3) Goal Construct a model to predict maintenance stage.

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Monte Carlo Localization for Mobile Robots Karan M. Gupta 03/10/2004

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Mapping with your Robot

Mapping with your Robot. What is mapping?. The process of using a sensor to determine the location of objects or holes in a remote area. What is mapping?. Mapping can be done with satellite images, sonar, radar, etc. Why map?. July 2002, nine miners dug through a wall into another tunnel

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Team 10 - SHERPA

Team 10 - SHERPA. Andrew Hoogendam Dave Moelker Anthony Boorsma Danny VanderSpek. Team 10. S H E R P A. S atellite -independent H andheld E lectronic R eturn P ath A ssistant. Problem. The majority of handheld navigation devices rely on GPS

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Large Scale Water Conservation System for Multi-Unit Housing

Large Scale Water Conservation System for Multi-Unit Housing. H 2 Opti S ns. Purpose of System. Water consumption in many apartment buildings can not be traced to individual units Leaking water fixtures are hard to identify if not reported by residents

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Review by Nate Ota CS294 8/28/03

Review: Analysis of Wireless Sensor Networks for Habitat Monitoring Polastre, Szewczyk, Mainwaring, Culler. Review by Nate Ota CS294 8/28/03. The Application: Great Duck Island. Motivation: use a habitat monitoring application to deploy a long term network Problem

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Wireless Data Acquisition and Routing in

Wireless Data Acquisition and Routing in. By Clifton Bradley, Brian Kessler and Ryan Vinelli. Programming the Mica2 Motes. Used SensorToRfm as a base to send a packet of sensor readings for: Temperature Light LED Use Surge for Multihop routing. Planned Functionality.

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StatSense

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Team Nidaros Norway

Team Nidaros Norway. The Team We come from a town up north in the middle of Norway called Trondheim. We are Two boys. The programming specialist Amund, Joakim the handyman and tutor Pavel.

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