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Phenology / X-ray computed tomography / Geographic information system / Nature / Data collection / Time / Biology / Climatology / Ecology


INTERACTIVE ENVIRONMENTAL SENSING: SIGNAL AND IMAGE PROCESSING CHALLENGES Michael P. Allen, Eric Graham, Shaun Ahmadian, Teresa Ko, Eric Yuen, Lewis Girod, Michael Hamilton, Deborah Estrin Center for Embedded Networked S
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Document Date: 2008-03-03 13:34:03


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Company

Stephens / /

Facility

Embedded Networked Sensing University of California / Coventry University / PLANT PHENOLOGY Fig / Massachusetts Institute of Technology / /

IndustryTerm

context-aware processing / on-line event detection / on-line event detector / visualization tools / signal processing challenges / in-field processing / energy feeds / suitable classification algorithms / data processing / image processing / image processing tools / automated processing / image processing techniques / manual processing / networked embedded systems / Wireless sensor networks / nest box processing / sensor systems / contextaware processing / signal processing / interactive sensing applications / visualization tool / sub-array processing / integrated tools / energy / taken using an on-line event detector to discriminate events / /

Organization

Embedded Networked Sensing University / University of California / Los Angeles / Massachusetts Institute of Technology / Coventry University / Deborah Estrin Center / /

Person

Lewis Girod / Travis Collier / M. Lukac / V / Michael P. Allen / Mohammad Rahimi / John Hicks / Eric Graham / Andreas Ali / P. Arzberger / Teresa Ko / Eric Yuen / Shaun Ahmadian / /

Position

avian biologist / scientist / post-doctoral researcher / J.Porter / /

ProvinceOrState

California / Massachusetts / /

PublishedMedium

Annual Review of Ecology / Evolution / and Systematics / /

Technology

Approximated Maximum Likelihood algorithm / suitable classification algorithms / IMAGE PROCESSING / /

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