'Distance estimation' presentation slideshows

Chapter 7 Localization & Positioning

Chapter 7 Localization & Positioning. Means for a node to determine its physical position with respect to some coordinate system (50, 27) or symbolic location (in a living room) Using the help of Anchor nodes that know their position Directly adjacent nodes Over multiple hops.

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Localization

668 views • 65 slides

Optimal distance estimation on compressed data (the data mining perspective)

Optimal distance estimation on compressed data (the data mining perspective). Nick Freris LCAV, EPFL November 4, 2013. (1). Optimal distance estimation. This work presents optimal estimation of Euclidean distance in the compressed domain. This result cannot be further improved. D = 11.5.

633 views • 53 slides

Optimal distance estimation on compressed data (the data mining perspective)

Optimal distance estimation on compressed data (the data mining perspective). Nick Freris LCAV, EPFL November 4, 2013. (1). Optimal distance estimation. This work presents optimal estimation of Euclidean distance in the compressed domain. This result cannot be further improved. D = 11.5.

674 views • 53 slides

Positioning Chapter 9

Positioning Chapter 9. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A. Acoustic Detection (Shooter Detection). Sound travels much slower than a radio signal (331 m/s) This allows for quite accurate distance estimation (cm)

611 views • 51 slides

Positioning Chapter 10

Positioning Chapter 10. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A. Acoustic Detection (Shooter Detection). Sound travels much slower than a radio signal (331 m/s) This allows for quite accurate distance estimation (cm)

593 views • 50 slides

Positioning Chapter 10

Positioning Chapter 10. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A. Acoustic Detection (Shooter Detection). Sound travels much slower than a radio signal (331 m/s) This allows for quite accurate distance estimation (cm)

505 views • 50 slides

The Effect of a Prism Manipulation on a Walking Distance Estimation Task

The Effect of a Prism Manipulation on a Walking Distance Estimation Task. Jonathan Giles Beverley Ho Jessica Blackwood-Beckford Aurora Albertina Dashrath Gautam. Background Information. Optic flow: The visual motion that is perceived during movement

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Distance Vector Routing Protocols

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NIGHT VISION ORIENTATION

NIGHT VISION ORIENTATION. TERMINAL LEARNING OBJECTIVE. Action: Manage the effects of visual limitations during night flight Condition: While performing as an aircrew member Standard: In accordance with (IAW) FM 3-04.301, TC 1-204, FM 8-50, AR 40-501, and AR 40-8 .

668 views • 34 slides

Localization

Localization. Learning Objectives. Understand why WSNs need localization protocols Understand localization protocols in WSNs Understand secure localization protocols. Prerequisites. Basic mathematics knowledge Basic concepts in network protocols. The Problem.

422 views • 27 slides

Internet Iso-bar: A Scalable Overlay Distance Monitoring System

Internet Iso-bar: A Scalable Overlay Distance Monitoring System. Yan Chen, Lili Qiu, Chris Overton and Randy H. Katz. Motivations. Applications of end-to-end distance monitoring/estimation Overlay Routing/Location Peer-to-peer Systems VPN Management/Provisioning

375 views • 22 slides

Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks

Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks. Yun Wang ,Kai Li, Jie Wu Southeast University, Nanjing, China, Temple University, Philadelphia, PA. INFOCOM 2010. Outline. Introduction Method Simulation Conclusion. Introduction.

345 views • 22 slides

Additive Distances Between DNA S equences

Additive Distances Between DNA S equences. 1. 3. 2. C. G. T. A. A C. C C. 1. Additive Evolutionary distance : The number of substitutions which occurred during the sequence evolution. substitutions. site 1. site 2. site 3. 0.

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Architectures and Applications for Wireless Sensor Networks (204525) Localization

Architectures and Applications for Wireless Sensor Networks (204525) Localization. Chaiporn Jaikaeo chaiporn.j@ku.ac.th Department of Computer Engineering Kasetsart University. Materials taken from lecture slides by Karl and Willig. Overview. Basic approaches Trilateration Multihop schemes.

368 views • 18 slides

Wireless Embedded Systems (0120442x) Localization

Wireless Embedded Systems (0120442x) Localization. Chaiporn Jaikaeo chaiporn.j@ku.ac.th Department of Computer Engineering Kasetsart University. Materials taken from lecture slides by Karl and Willig. Overview. Basic approaches Trilateration Multihop schemes. Localization & positioning.

328 views • 18 slides

Rear Lights Vehicle Detection for Collision Avoidance

Rear Lights Vehicle Detection for Collision Avoidance. Evangelos Skodras George Siogkas Evangelos Dermatas Nikolaos Fakotakis. Electrical & Computer Engineering Dept. University of Patras, Patras, Greece. Why is this system important?.

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Distance Estimation

Distance Estimation. Ohad Eliyahoo And Ori Zakin. Introduction. Current range estimation techniques require use of an active device such as a laser or radar. Drawbacks of an active approach are: Expensive Use in military scenarios can compromise the measurers position.

115 views • 11 slides

Occlusion is a problem for range finders. We applied acoustic diffraction of audible sound.

Distance Estimation of Hidden Objects Based on Acoustical Holography by applying Acoustic Diffraction of Audible Sound. Haruhiko Niwa, Tetsuya Ogata , Kazunori Komatani and Hiroshi G. Okuno Department of Intelligence Science and Technology, Kyoto University, Japan.

88 views • 1 slides