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    <title>SMARTech Community: College of Engineering (CoE)</title>
    <link>http://smartech.gatech.edu/handle/1853/5985</link>
    <description>For more than 110 years, Georgia Tech has been producing engineers. Today, we are recognized as one of the nation's top ranked engineering colleges.</description>
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    <title>Feasibility and Technology Options for CO₂ Capture From Transportation and Distributed Sources</title>
    <link>http://smartech.gatech.edu/handle/1853/31224</link>
    <description>Title: Feasibility and Technology Options for CO₂ Capture From Transportation and Distributed Sources
&lt;br/&gt;
&lt;br/&gt;Authors: Fedorov, Andrei G.
&lt;br/&gt;
&lt;br/&gt;Description: 2009 program of the “Open Forum on Energy and the Environment”, presented on November 5, 2009, from 4:30 PM-6:00 PM in room L1255, Ford Environmental Science &amp; Technology Building (ES&amp;T) on the Georgia Tech campus.</description>
  </item>
  <item rdf:about="http://smartech.gatech.edu/handle/1853/31219">
    <title>Cell and Particle Behavior in Microfluidic Mixers: Applications in Cell Signaling Dynamics</title>
    <link>http://smartech.gatech.edu/handle/1853/31219</link>
    <description>Title: Cell and Particle Behavior in Microfluidic Mixers: Applications in Cell Signaling Dynamics
&lt;br/&gt;
&lt;br/&gt;Authors: Hirsch, Alison
&lt;br/&gt;
&lt;br/&gt;Abstract: Fluid mixing is common in large-scale chemical processes. Recently, many biological or chemical processes are&#xD;
carried out in microfluidic systems, where mixing of solutes is predominantly a diffusion process due to the laminar&#xD;
nature of the flow at the micro scale. Different mixing strategies have been employed to effectively decrease the&#xD;
characteristic length for diffusion. However, particle mixing behavior in fluid is still not well understood. To assess the&#xD;
critical factors behind fluid-particle behavior at Reynolds numbers where inertial and viscous forces both play a role,&#xD;
we experimentally studied three dimensional particle distributions as a function of flow velocity, fluid and particle&#xD;
properties, and mixer geometries, using a fast microscopy technique we developed. Computational Fluid Dynamics&#xD;
was also used to understand the particle flow characteristics as influenced by relevant forces. With this knowledge,&#xD;
efficient unit operations in multiphase systems (e.g. mixing and separation) can be designed, especially in&#xD;
microfluidic technologies for many biological and medical applications that handle cells and beads. In particular, for&#xD;
our study in the signaling dynamics in T cell activation for adoptive-transfer cancer immune therapy. The microchip in&#xD;
this case provides a platform for obtaining well-controlled data points in parallel, superior to bench-top assay&#xD;
performances.
&lt;br/&gt;
&lt;br/&gt;Description: 2009 Ziegler Award Winner, presented as a keynote address at the 2009 School of Chemical and Biomolecular Engineering Fourth Year Colloquium, Wednesday October 14, 2009 at Georgia Institute of Technology.</description>
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  <item rdf:about="http://smartech.gatech.edu/handle/1853/31218">
    <title>Three-dimensional in Situ Temperature Measurement in Microsystems Using Brownian Motion of Nanoparticles</title>
    <link>http://smartech.gatech.edu/handle/1853/31218</link>
    <description>Title: Three-dimensional in Situ Temperature Measurement in Microsystems Using Brownian Motion of Nanoparticles
&lt;br/&gt;
&lt;br/&gt;Authors: Chung, Kwanghun
&lt;br/&gt;
&lt;br/&gt;Abstract: Recent developments in microsystems for chemical and biological analysis offer significant advantages over&#xD;
conventional methods, such as precise manipulation of samples and control of microenvironment. For many&#xD;
applications, the ability to control and measure temperature inside microfluidic devices is critical since temperature&#xD;
often affects biological or chemical processes. To address this need, we developed an in situ method for three-dimensionally&#xD;
resolved temperature measurement in microsystems. The temperature of the surrounding fluid is&#xD;
correlated from Brownian diffusion of suspended nanoparticles. We use video-microscopy in combination with image&#xD;
analysis software to selectively track nanoparticles in the focal plane. This method is superior with regards to&#xD;
reproducibility and reduced systematic errors since measuring Brownian diffusivity does not rely on fluorescence&#xD;
intensity or lifetime of fluorophores. The efficacy of the method is demonstrated by measuring spatial temperature&#xD;
profiles in various microfluidic devices that generate temperature gradients and by comparing these results with&#xD;
numerical simulations. We show that the method is accurate and can be used to extract spatial temperature&#xD;
variations in three dimensions. Compared to conventional methods that require expensive multiphoton optical&#xD;
sectioning setups, this technique is simple and inexpensive. In addition, we demonstrate the capability of this method&#xD;
as an in situ tool for simultaneously observing live cells under the microscope and monitoring the local temperature of&#xD;
the cell medium without biochemical interference, which is crucial for quantitative studies of cells in microfluidic&#xD;
devices.
&lt;br/&gt;
&lt;br/&gt;Description: 2009 Ziegler Award Winner, presented as a keynote address at the 2009 School of Chemical and Biomolecular Engineering Fourth Year Colloquium, Wednesday October 14, 2009 at Georgia Institute of Technology.</description>
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  <item rdf:about="http://smartech.gatech.edu/handle/1853/31216">
    <title>Active Contours and Optical Flow for Automatic Tracking of Flying Vehicles</title>
    <link>http://smartech.gatech.edu/handle/1853/31216</link>
    <description>Title: Active Contours and Optical Flow for Automatic Tracking of Flying Vehicles
&lt;br/&gt;
&lt;br/&gt;Authors: Ha, Jin-cheol; Alvino, Christopher Vincent; Pryor, Gallagher D.; Niethammer, Marc; Johnson, Eric N.; Tannenbaum, Allen R.
&lt;br/&gt;
&lt;br/&gt;Abstract: In this paper, we describe fast implementations of optical flow and geometric active contours to reliably track flying vehicles. Given the position of the vehicle at time t-1, optical flow information is used to initially place an active contour in the basin of attraction of a region of interest in a given dynamical image at time t. For real-time tracking, fast convergence of the active contour as well as rapid computation of the optical flow are crucial. In this note, we describe algorithms that make fast tracking possible in this framework using only standard computing platforms.
&lt;br/&gt;
&lt;br/&gt;Description: ©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or distribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.; Presented at the 2004 American Control Conference, Boston, Massachusetts,June 30-July 2,2004.</description>
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