Bio-Inspired Models of Network, Information, and Computing by Mário J. Antunes, Manuel E. Correia (auth.), Junichi Suzuki,

By Mário J. Antunes, Manuel E. Correia (auth.), Junichi Suzuki, Tadashi Nakano (eds.)

This publication constitutes the completely refereed post-conference lawsuits of the fifth overseas ICST convention on Bio-Inspired versions of community, details, and Computing platforms (BIONETICS 2010) which used to be held in Boston, united states, in December 2010. The seventy eight revised complete papers have been conscientiously reviewed and chosen from various submissions for inclusion within the complaints. BIONETICS 2010 aimed to supply the knowledge of the basic rules and layout thoughts in organic structures and leverage these understandings to construct bio-inspired systems.

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Extra resources for Bio-Inspired Models of Network, Information, and Computing Systems: 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers

Example text

The method currently under investigation uses micrometer-sized objects coated with bio-reactive molecules as information carrying molecules, which are selectively incorporated into and decoded within biological cells. This short paper briefly describes the method, experimental results, and theoretical model for the molecular communication method based on autophagy. Keywords: Molecular communication, biological machines, autophagy. 1 Introduction A promising material to design and engineer biological machines for molecular communication is biological cells [1].

Delete: removes a randomly-selected node from a randomly-selected route. – Exchange: randomly chooses a node in a randomly-selected route and replaces it with a node selected from the measurement set randomly. This operator ensures that the new node is not redundant with the other nodes in the route. – Swap: exchanges the positions of two randomly-selected nodes in a route, which is also selected randomly. – Inversion (2-OPT): randomly chooses two cut points in a randomly-selected route and reverses the the order of nodes between the cut points.

Conf. on Information Sciences and Systems, Baltimore, MD, pp. 160–165 (2007) 4. : An information theoretical approach for molecular communication. In: Proc. 2nd Intl. Conf. on Bio-Inspired Models of Network, Information, and Computing Systems, Budapest, Hungary (2007) 5. : Molecular communication: Modeling noise effects on information rate. IEEE Trans. Nanobiosci. 8, 169–179 (2009) 6. : Timing information rates for active transport molecular communication. In: Proc. 4th Intl. Conf. on Nano-Networks, Luzern, Switzerland, pp.

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