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The latest version allows very efficient object identification in real-time using a video input, and although this specific implementation is designed to run on standard computer hardware, there are a number of clear implications for computational neuroscience.
The proposed sensor implementation is designed to measures the force applied by a cable-based actuation by detecting the deformation of a properly designed compliant structure integrated into the actuation module.
The developed test implementation is designed to work with the simulation system simcron MODELLER and will be used to handle typical optimization tasks like the weekly demand plan of a back-end process or optimal batch sizes for burn-in ovens.
The current implementation is designed to help validate the idea of having an auditory interaction modality as it currently does not leverage all the features of VoiceXML, however it provides a stepping stone for a future more advanced implementation that may offer different voices and be able to understand more words and phrases.
The implementation is designed to be easily extendable and widely deployable.
The key now is to ensure that implementation is designed to mitigate the known adverse effects of reduced working hours.
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Its first implementation was designed to run on large clusters of homogeneous machines.
One failed implementation was designed to have very simple microphone circuits that are sampled continuously by a multi-channel AD converter.
The software implementation was designed to be fast and easily extensible, making it quite simple to modify the CLOCCS model to handle different combinations of cell cycle markers.
Note that this current implementation was designed to use pair-wise BLAST searches of entire proteomes due to the additional utility of these files for calculating AAIs.
The smart grid implementation, which is designed to meet these requirements, is facilitated by microgrids development.
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