'Sensor information' diaporamas de présentation

Information Extraction from Social Media

Information Extraction from Social Media. Tim Finin 10 October 2006. Overview. Motivation Blogs and feeds UMBC research Seedling opportunities Conclusion. Motivation.

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C o lo ur an algorithmic approach

809 views • 68 slides

Sensor Networks, Rate Distortion Codes, and Spin Glasses

Sensor Networks, Rate Distortion Codes, and Spin Glasses. NTT Communication Science Laboratories Tatsuto Murayama murayama@cslab.kecl.ntt.co.jp In collaboration with Peter Davis March 7 th , 2008 at the Chinese Academy of Sciences. Problem Statement. Sensor Networks. Sensor

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Probabilistic Models of Sensing and Movement

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ToSS: Testbed of Smart Sensors

ToSS: Testbed of Smart Sensors. Deniz Gurkan, PhD Department of Engineering Technology University of Houston dgurkan@uh.edu August 23, 2007. Motivation. Create test procedures for validation of IEEE 1451 NCAP-to-NCAP communications

546 views • 31 slides

Improving Human-Robot Interaction Jill Drury, The MITRE Corporation

Improving Human-Robot Interaction Jill Drury, The MITRE Corporation Collaborators: Holly Yanco, UMass Lowell Jean Scholtz, NIST Mike Baker, Bob Casey, Dan Hestand, Brenden Keyes, Phil Thoren (UML) Methodology for Evaluating HRI Two approaches: field and laboratory

652 views • 24 slides

Plan-Based Robot Control

Plan-Based Robot Control. Joachim Hertzberg. Contents. What is Plan-Based Robot Control? Examples Research Areas Conclusion. 1. What is Plan-Based Robot Control? Examples Research Areas Conclusion. Planning in Autonomous Robotics/AI Robotics [Murphy]

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Visibility Graph and Voronoi Diagram

Visibility Graph and Voronoi Diagram. CS 234326 Tutorial . Common Framework. Roadmap approach Limited to low-dimensional C : essentially 2D polygonal regions, objects and obstacles. Good for Multi-queries Complete algorithms. Visibility Graphs. non-directed graph G

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Electronic Stability Control Systems

25. Electronic Stability Control Systems. Advanced Automotive Electricity and Electronics James D. Halderman. FIGURE 25.1 The electronic stability control (ESC) system applies individual wheel brakes to keep the vehicle under control of the driver.

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HI-WIRE

HI-WIRE. Haptic Interface With Intuitive Robot Control. Introduction. Design Problem: How to tie robot control to a remote user while maintaining a high level of intuitiveness and simplicity.

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Benefits of ITS During Hurricane Evacuations Hurricane Evacuation Transportation Workshop April 5, 2003

Benefits of ITS During Hurricane Evacuations Hurricane Evacuation Transportation Workshop April 5, 2003. Gene Glotzbach. Florida Department of Transportation ITS Office (850) 410-5616 gene.glotzbach@dot.state.fl.us dot.state.fl.us/IntelligentTransportationSystems.

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Precision Agriculture

Precision Agriculture. Smart Farm Stations. Yunxin Li and Raymond Wang Motorola Australian Research Centre. Changing Farm Environment. Merging and Consolidatiion Run by corporations instead of families Larger areas per farm Increasing Global Competition

384 views • 9 slides

UAS Mission and System Development

Overview of the NOAA UAS Requirements and Capabilities Database Matt Lucas NOAA UAS Program TriVector Services, Inc . matthew.w.lucas@trivector.us. UAS Mission and System Development. Observing Requirement Categories.

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Summary of Trustworthiness Research at IU

Summary of Trustworthiness Research at IU. Professors Kapadia , Myers, Wang. Research on Side-channel Detection & Mitigation. Side-channel detection: Sidebuster (CCS 2010) Mitigation infrastructure for wireless channel: Demultiplexing (joint work with UNL, MSR and McGill)

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New Resolution for the Internet of Things (IoT)

New Resolution for the Internet of Things (IoT). Bruce A. Gracie ISACC. RATIONALE. Work on the network aspects of identification systems has expanded to include Ubiquitous Sensor Network (USN)

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3D Visualisation of Sensor Information on Google Android platform

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Pipe & Cable Laying

Ff. Engineering and Construction Division. Pipe & Cable Laying. Pipe & Cable Route Surveying. Configure Multiple Vessels Multiple Guidance Information different navigation information available for different vessels or different offsets on the same vessel.

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Electrical and Computer Systems Engineering Postgraduate Student Research Forum 2001

Stereo Vision Data i Local map Li Relocalisation & Mapping Odometry i -1 ? i Global map Gi Global map Gi - 1 2 1 1 1 2 1 G 1 2 1 1 1 2 2 2 2 2 3 4 4 5 6 7 5 5 5 S 7 Depth from camera baseline (not scaled) 6 6 6 6 7

538 views • 1 slides