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Photographs on this page support media releases issued by CSIRO
Mathematics, Informatics and Statistics . We give permission for media and
educational use of all pictures stored on or directly referred to by this
page. Commercial users should contact us (CMIS-Communicators@csiro.au)
for permission to use these images.
Index
3D Scanner gives the Full Picture - 25
November 2003
Smart Maths for Greener Mill Design - 16 september 2003
Flying eyes to keep the power flowing - 20 August 2003
Maths and music: playing a sweeter tune - 11 July 2003
Poor search limits Australia's businesses -
2 July 2003
The right tool for the job - 23 June 2003
CMweb - a new kind of web - 18 June 2003
What a nerve! Software helps find treatments for
neurological disorders - 3 June 2003
Information security for online service users
- 12 May 2003
Beyond El Niño:
Understanding Australia's weather - 9 April 2003
New tools for cancer diagnosis - 25 March 2003
Keep your data safe – Put it on the ‘Net - 6
March 2003
Museum pieces come 'alive' - 10 February 2003
The manual almost writes itself! - 6 february 2003
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3D Scanner gives the Full Picture
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| Managing museum
collections could be enhanced by CSIRO's 3D scanning technology. For
example, the technology shows this shell as dome-shaped, not flat. |
Smart Maths for Greener Mill Design
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Media Release
These images show DEM prediction of the charge motion in a 36ft SAG
mill rotating at 79% critical speed.

Download hi-res version (JPG 417KB)
A webGF-Mill® image showing the motion of
particles adjacent to a lifter bar. Particle colouring indicates
particle diameter; red indicating large particles and blue
indicating small particles.
|

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A webGF-Mill® image showing the motion of particles
adjacent to a lifter bar. Particle colouring indicates particle
type; red indicating steel balls and blue indicating the rocks being
milled. |

Download hi-res version (JPG 501KB)
A webGF-Mill® image showing the motion of rocks and steel
balls in a section along the length of a grinding mill. Particle
colouring indicates particle type; red indicating steel balls and
blue indicating the rocks being milled. |

Download hi-res version (JPG 807KB)
A webGF-Mill® image showing the motion of particles near a
lifter bar. Particle colouring indicates particle speed with red
being the fastest moving particles and blue the slowest or
stationary particles. |

Download hi-res version (JPG 585KB)
A webGF-Mill® image showing the motion of rocks and steel
balls in a section along the length of a grinding mill. Particle
colouring indicates particle speed with red being the fastest moving
particles and blue the slowest or stationary particles. |

Download MPG animation (MPG 2.1MB) of webGF-Mill®.
|
Flying eyes to keep the power flowing
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Release
Maths and music: playing a sweeter tune
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Release

Download 300 dpi version (JPG 523KB)
The Stuart and Sons Piano
Poor search limits Australia's businesses
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Release
The right tool for the job
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Release
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Download 300 dpi JPG 346KB
Dr David Mitchell (Business Development Manager,
CSIRO Bioinformatics) is demonstrating a new statistical toolkit to
the international biotech industry at BIO2003 in Washington DC on
22-25 June. |

Download hi-res GIF 6KB
CSIRO Bioinformatics' statistical tools are more
sensitive than others, classifying patients with diffuse large
B-cell lymphoma into distinct subgroups by analysing the expression
of just two genes. |

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The kind of data generated by emerging
technologies like microarrays requires a whole new approach to data
analysis, according to David Mitchell of CSIRO Bioinformatics. |
CMWeb - a new kind of web
Return to Media
Release
What a nerve! Software helps find treatments for
neurological disorders
Return to Media
Release
Information security for online service
users
Return to Media
Release
Beyond El Niño:
Understanding Australia's weather
Return to Media
Release
New tools for cancer diagnosis
Return to Media
Release
|

Download 300 dpi JPG 346KB
Dr David Mitchell, Business Development Manager
for CSIRO Bioinformatics. |

Download hi-res GIF 6KB
Statistical methods from CSIRO Bioinformatics
allow the classification of patients with diffuse large B-cell
lymphoma into distinct subgroups by analysing the expression of just
two genes. |
Keep your data safe – Put
it on the ‘Net
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Release
Museum pieces come 'alive'
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Release
The Manual almost writes itself!
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Release
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Last Updated
Tuesday, January 18, 2011 12:22 PM
CMIS-Communicators@csiro.au |