


Title

Deployment of ANDE Satellites by STS116





Abstract 
The Atmospheric Neutral Density Experiment (ANDE) Risk Reduction Mission consists of two spherical spacecraft fitted with retroreflectors for satellite laser ranging (SLR). Scientific objectives of the ANDE missions include monitoring total neutral density along the orbit for improved orbit determination of space objects, monitoring the spin rate and orientation of the spacecraft to better understand inorbit dynamics, and to provide a test object for polarimetry studies. The mission will provide objects in low Earth orbit with welldetermined ballistic coefficients and radar crosssections for comprehensive atmospheric modeling. Each mission will include a passive and an active spherical spacecraft in a leadtrail orbit configuration. The passive sphere will be tracked with the Space Surveillance Network (SSN) and SLR to study atmospheric drag and intrack total density. The active sphere will have onboard instrumentation to measure atmospheric density and composition. The active sphere will monitor its position relative to the passive sphere to study drag models. The active satellites will communicate onboard data through a system of modulated retroreflectors (MRR). Mission Objectives: Provide Total Atmospheric Density for O... 


Title

Greedy Computation of a Homotopy Basis for a ...





Abstract 
I found this video on the web and it does not belong to me. However i thought this will be of interets to the community. Thanks Keenan for this wonderful work. Following is quoted from Keenan. "Several tools from topology are useful for mesh processing and computer graphics. These tools often operate on the 1skeleton of a surface, i.e., the graph of edges embedded in the surface. A common task is to find a collection of edges called a cut graph  cutting along these paths turns the surface into a shape which can be flattened into the plane. This kind of flattening is necessary for texture mapping, remeshing, etc. One way to find a cut graph is to find a set of loops, no two of which are homologous, which cut the surface into a disk when removed. Intuitively, two loops on a surface are homologous if one can be deformed into the other while always keeping it entirely on the surface. For a closed orientable surface with genus g (i.e., a torus with g handles), there are 2g classes of homologically independent loops. A homology basis consists of one loop from each class. Not every homology basis is a cut graph: some homology bases either disconnect the surface or cut it into a punctured sphere. However, a homot... 


Title

GPU fluid simulation  advection





Abstract 
I found this video on the web and it does not belong to me. However i thought this will be of interets to the community. Thanks Keenan for this wonderful work. Following is quoted from Keenan. "During my time at NVIDIA I wrote a 3D NavierStokes fluid solver that runs entirely on the GPU. Fluid solvers are used to generate realistic, physicallybased animations of water and smoke. Typically it takes several minutes or hours to generate each frame of animation, but by making some minor compromises in visual quality and taking advantage of the GPU's parallelism and bandwidth the solver is fast enough for realtime applications (e.g., around 120180 frames per second at 64x64x128 on a GeForce 8800 GTX). I'm currently preparing a chapter that covers some of these ideas for GPU Gems 3. This video demonstrates 1st order accurate semiLagrangian advection with and without vorticity confinement, as well as a 2nd order accurate MacCormack scheme (with vorticity confinement). See http://www.cs.caltech.edu/~keenan/pro... for more information." 


Title

GPU fluid simulation  fire





Abstract 
I found this video on the web and it does not belong to me. However i thought this will be of interets to the community. Thanks Keenan for this wonderful work. Following is quoted from Keenan. 'During my time at NVIDIA I wrote a 3D NavierStokes fluid solver that runs entirely on the GPU. Fluid solvers are used to generate realistic, physicallybased animations of water and smoke. Typically it takes several minutes or hours to generate each frame of animation, but by making some minor compromises in visual quality and taking advantage of the GPU's parallelism and bandwidth the solver is fast enough for realtime applications (e.g., around 120180 frames per second at 64x64x128 on a GeForce 8800 GTX). See http://www.cs.caltech.edu/~keenan/pro... for more information' 


Title

GPU fluid simulation  blood





Abstract 
I found this video on the web and it does not belong to me. However i thought this will be of interets to the community. Thanks Keenan for this wonderful work. Following is quoted from Keenan. "During my time at NVIDIA I wrote a 3D NavierStokes fluid solver that runs entirely on the GPU. Fluid solvers are used to generate realistic, physicallybased animations of water and smoke. Typically it takes several minutes or hours to generate each frame of animation, but by making some minor compromises in visual quality and taking advantage of the GPU's parallelism and bandwidth the solver is fast enough for realtime applications (e.g., around 120180 frames per second at 64x64x128 on a GeForce 8800 GTX). See http://www.cs.caltech.edu/~keenan/pro... for more information." 


Title

Chaos and Fractals in Simple Physical Systems...





Abstract 
Chaos and Fractals in Simple Physical Systems as Revealed by the Computer. By Frank Varosi and James A. Yorke (Media magic) This video features studies of three important kinds of physical systems: The swinging pendulum, the double well duffing oscillator, and the laser beam oscillator. When a pendulum is forced Periodically (so that it continues to oscillate), its motion can become periodic or choatic, depending on the amount of forcing. The study of a swinging includes extraordinarily complicated "fractal" sets. Using the computer's zoom feature, the video focuses on such fractal sets and displays their beauty and complexity. in a similar manner the video the video examines the double well Duffing oscillator, which simulates a ball rolling between two basins. By means of computer graphs one can see how geometric patterns can abruptly change discontinuously as the degree of forcing is slightly modified. the final segment uses a laser beam oscillator to investigate "attractors",what they are and how they change as a physical parameter is slowly varied. Throughout the 50 min long presentation Professor Yorke describes the scientific meaning of the accompanying computer images. 


Title

Chaos and Fractals in Simple Physical Systems...





Abstract 
Chaos and Fractals in Simple Physical Systems as Revealed by the Computer. By Frank Varosi and James A. Yorke (Media magic) This video features studies of three important kinds of physical systems: The swinging pendulum, the double well duffing oscillator, and the laser beam oscillator. When a pendulum is forced Periodically (so that it continues to oscillate), its motion can become periodic or choatic, depending on the amount of forcing. The study of a swinging includes extraordinarily complicated "fractal" sets. Using the computer's zoom feature, the video focuses on such fractal sets and displays their beauty and complexity. in a similar manner the video the video examines the double well Duffing oscillator, which simulates a ball rolling between two basins. By means of computer graphs one can see how geometric patterns can abruptly change discontinuously as the degree of forcing is slightly modified. the final segment uses a laser beam oscillator to investigate "attractors",what they are and how they change as a physical parameter is slowly varied. Throughout the 50 min long presentation Professor Yorke describes the scientific meaning of the accompanying computer images. 


Title

The wonders of a tiny cell





Abstract 
a brief animation of one of the few things that happend in a cell. Thats when we start to scratch on the surface of some true complex systems. The cell is the structural and functional unit of all known living organisms. It is the smallest unit of an organism that is classified as living, and is often called the building block of life.^{[1]} Some organisms, such as most bacteria, are unicellular (consist of a single cell). Other organisms, such as humans, are multicellular. (Humans have an estimated 100 trillion or 10^{14} cells; a typical cell size is 10 µm; a typical cell mass is 1 

