Bio-Inspired Models of Network, Information, and Computing Systems : 7th International ICST Conference, BIONETICS 2012, Lugano, Switzerland, December 10--11, 2012, Revised Selected Papers (Lecture Notes of the Institute for Computer Sciences, Social (2014)

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Bio-Inspired Models of Network, Information, and Computing Systems : 7th International ICST Conference, BIONETICS 2012, Lugano, Switzerland, December 10--11, 2012, Revised Selected Papers (Lecture Notes of the Institute for Computer Sciences, Social (2014)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 323 p.
  • 言語 ENG
  • 商品コード 9783319069432

Full Description

This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Bio-Inspired Models of Network, Information and Computing Systems (Bionetics 2012), held in Lugano, Switzerland, in December 2012. The 23 revised full papers presented were carefully reviewed and selected from 40 submissions. They cover topics such as networking, robotics and neural networks, molecular scale and bioinformatics, optimization and bio-inspired modeling in various fields.

Contents

A hybrid exact-ACO algorithm for the joint scheduling, power and cluster assignment in cooperative wireless networks.- Proposal and Evaluation of Attractor Perturbation-based Rate Control for Stable End-to-end Delay.- The Reactive ASR-FA - An Ant Routing Algorithm that Detects Changes in the Network by Employing Statistical Delay Models.- A Mathematical Model for the Analysis of the Johnson-Nyquist Thermal Noise on the Reliability in Nano-Communications.- Visuomotor mapping based on Hering's law for a redundant active stereo head and a 3 DOF arm.- A Distributed Multi-Level PSO Control Algorithm for Autonomous Underwater Vehicles.- 7 A novel Communication Technique for Nanobots based on acoustic signals.- What Could Assistance Robots Learn from Assistance Dogs?.- Bioinspired Obstacle Avoidance Algorithms for Robot Swarms.- Evolving Networks Processing Signals with a Mixed Paradigm, Inspired by Gene Regulatory Networks and Spiking Neurons.- Algorithmically Transitive Network: Learning Pade networks for regression Investigation of Developmental Mechanisms in Common Developmental Genomes.- Improving Diffusion-Based Molecular Communication with Unanchored Enzymes.- The Use of Computational Intelligence in the Design of Polymers and in Property Prediction.- A Watermarking Scheme for Coding DNA Sequences Using Codon Circular Code.- Ant Local Search for Combinatorial Optimization.