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Home List of Titles Sound and image processing with optical bio-nanocomputers: implications for molecular computing of digital information
Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/124
- Sound and image processing with optical bio-nanocomputers: implications for molecular computing of digital information
- Jones, Cameron L.
- A functional information processing device using bacterial or fungal cells, Bacillus casei (Shirota strain) or Pycnoporus cinnabarinus grown or applied to the surface of optical media such as CD or DVD discs causes non-equilibrium error correction during data translation into images or sounds. This can be modeled as a nonlinear feedback system. Surface colonization is a biotechnique similar to micro-lithography, and in this context, control over growth (population dynamics, fractal shape complexity) acts as RULES during data translation AXIOMS. Another variation on this experiment uses colloidal aerosol dispersions as an experimental example of a nanoscale particle system capable of causing optical feedback in digital media. Results for both systems display a trade-off between strict and weak causality offering micron-level control over synthesized output. Examples are given for both prokaryotic and eukaryotic cellular interference with optically stored data. Differences in cellular parameters such as organelle density, refractivity, and gross morphology (branching versus aggregation) are shown to impact on error correction using the Cross Interleaved Reed-Solomon Code. Growth conditions are given for both types of micro-organisms, and for the aerosol spray. Manipulation of digital media through exploiting sensitive dependence on initial conditions is one practical way to control variation. Examples are given that highlight the potential of this nonlinear system for rapid, real-time synthesis and re-synthesis of image or sound streams for general design and multimedia applications.
- Publication type
- Journal article
- Research centre
- Swinburne University of Technology. School of Mathematical Sciences. Centre for Mathematical Modelling
- Problems of nonlinear analysis in engineering systems, Vol. 10 (2004), pp. 1-15
- Publication year
- International Federation of Nonlinear Analysis
- Publisher URL
- Peer reviewed