2012.Feb.4

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Success Stories
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Cool SpaceRunner-LX800 on its way into space

Stanford‘s AA236C Interface Team has selected the ruggedized PC/104-Plus module to build a satellite for the CubeView mission. The primary instrument of the satellite’s payload is an 11 megapixel camera, connected via USB 2.0 to the embedded computer module. This is, however, not its only purpose: There are four more scientific experiments on board. Among these is a detector to study micrometeorite impacts on the satellite. Another one are several flash memory chips with more or less radiation shielding being constantly tested to analyze the space environment’s effects on flash storage devices.

 

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Micro Air VehicleUAV01_k

Ascending Technologies, Germany / MIT, Boston, USA

These two institutions jointly developed an autononomous Indoor MAV (Micro Air Vehicle), controlled by a CoreExpress®-ECO module on a custom carrier board.

 

 

With this flying robot, the team from Ascending Technologies GmbH (AscTec) near Munich and the Boston MIT, USA, won the fifth mission of the oldest international robotics competition AUVSI International Aerial Robotics

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Balloon-borne optical spectrometer

  • Institut für Umweltphysik (IUP), University of Heidelberg, Germany

The research at IUP-Heidelberg addresses the composition, photochemistry, and climate of the lower (troposphere) and middle atmosphere (stratosphere).

 

LiPPERTs Success Story: Balloon-borne optical spectrometer A particular focus of research involves the deployment of optical spectrometers on research aircraft, balloons and satellites.

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Onboard networks of autonomous underwater vehicles

By Aleksandr Inzartsev and Oleg Lvov

Designing autonomous underwater vehicles (AUVs) is a basic line of activity at the Institute of Marine Technology Problems (IMTP), Far Eastern Branch, Russian Academy of Sciences. Compact vehicles developed at the IMTP are intended mainly for

 

  1. solving economics problems (servicing of sea oil-gas fields, objects of mariculture, fishing and crabbing regions, etc.),
  2. collecting oceanographic data from depths to 2 km (investigation of ocean flows, ocean floor composition and structure, as well as bathymetry and seismology problems),
  3. monitoring the condition of underwater communications (pipelines and cables) and environmental water pollution, and
  4. carrying out search-and-rescue operations (with an underwater object location accuracy of 5 m).
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Automated Rail Flaw Detector

  • MEDUSA Ltd -- ADS-02, An Automated Rail Flaw Detector

By Alexander M. Reyman

Rail fractures account for 30% of damages and wrecks in rail track facilities, as the picture shows. To avoid these damages, the rails can be inspected using several methods, all with their own advantages and problems, as shown in the table.

 

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