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Journal of Bionic Engineering

ISSN 1672-6529

CN 22-1355/TB

Editor-in-Chief : Luquan Ren Published by Science Press and Springer

Table of Content
30 September 2004, Volume 1 Issue 3
article

Rolf H. Luchsinger1 , Mauro Pedretti2, Andreas Reinhard1
J4. 2004, 1 (3):  141-148.  DOI:
Abstract ( 1293 )   PDF  
Structural stabilization by a pressurized fluid is very common in nature, however hardly found in technology. Car tires, hot air balloons, airships and airhouses are among the few technical exceptions, which are stabilized by a compressed medium, typically air. Restricted by simple geometries and a very limited load bearing capacity these pneumatic structures could succeed only in very specialized applications. Nevertheless, prospective concepts ag has systematically investigated pneumatic structures during the last few years. As a major result, it was demonstrated that almost any shape can be made with pneumatic structures and that astonishing structures such as the pneumatic airplane Stingray can be realized even with low air pressure. On top of that, Airlight Ltd. in close collaboration with prospective concepts ag has recently developed the fundamental new structural concept Tensairity. The synergetic combination of an inflated structure with conventional structural elements such as cables and struts yields pneumatic light-weight structures with the load bearing capacity of steel girders. Thus, complex forms and high strength open up many new o pportunities for pressure induced stability in technology. An overview of these recent developments is presented and the close relationship of pneumatic structures with biology is outlined.
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The structural basis of oscillation damping in plant stems - biomechanics and biomimetics
Hanns-Christof Spatz, Anton Emanns, Olga Speck
J4. 2004, 1 (3):  149-158.  DOI:
Abstract ( 1501 )   PDF  

Oscillations and their damping were investigated for plant stems of Cyperus alternifolius L., Equisetum hyemale L., Equisetum fluviatile L., Juncus effuses L., Stipa gigantea Link, and Thamnocalamus spathaceus (Franch.) Soderstr. With the exception of T. spathaceus, mechanical damping of the oscillation of individual plant stems, even without side organs, leaves or inflorescences, is quite effective. Our experiments support the hypothesis that embedding stiff sclerenchymatous elements in a more compliant parenchymatous matrix provides the structural basis for the dissipation of mechanical energy in the plant stem.
As an application the naturally occurring structures were mimicked in a compound material made from hemp fabrics embedded in polyurethane foam, cured under pressure. Like its natural model it shows plastic deformability and viscoelastic behaviour. In particular the material is characterized by a remarkably high shock absorption capacity even for high impact loads.

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Artificial senses for characterization of food quality
HUANG Yan-bo 1, LAN Yu-bin 2, R.E. Lacey 1
J4. 2004, 1 (3):  159-173.  DOI:
Abstract ( 1318 )   PDF  
Food quality is of primary concern in the food industry and to the consumer. Systems that mimic human senses have been developed and applied to the characterization of food quality. The five primary senses are: vision, hearing, smell, taste and touch. In the characterization of food quality, people assess the samples sensorially and differentiate “good” from “bad” on a continuum. However, the human sensory system is subjective, with mental and physical inconsistencies, and needs time to work. Artificial senses such as machine vision, the electronic ear, electronic nose, electronic tongue, artificial mouth and even artificial the head have been developed that mimic the human senses. These artificial senses are coordinated individually or collectively by a pat-tern recognition technique, typically artificial neural networks, which have been developed based on studies of the mechanism of the human brain. Such a structure has been used to formulate methods for rapid characterization of food quality. This research presents and discusses individual artificial sensing systems. With the concept of multi-sensor data fusion these sensor systems can work collectively in some way. Two such fused systems, artificial mouth and artificial head, are described and discussed. It indicates that each of the individual systems has their own artificially sensing ability to differentiate food samples. It further indicates that with a more complete mimic of human intelligence the fused systems are more powerful than the individual sys-tems in differentiation of food samples.
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Conceptual comparison of metabolic pathways with electronic circuits
S. Balaji 1 , S. Lakshminarayanan 2
J4. 2004, 1 (3):  175-182.  DOI:
Abstract ( 1664 )   PDF  
An electronic circuit has been designed to mimic glycolysis, the Citric Acid (TCA) cycle and the electron transport chain. Enzymes play a vital role in metabolic pathways; similarly transistors play a vital role in electronic circuits; the characteristics of enzymes in comparison with those of transistors suggests that the properties are analagous. Enzymes possess an active site into which the substrate binds, similarly the transistor possess a layer in which the recombination of holes and electrons takes place. Hence the applied voltage in the circuit is considered as the substrate. The enthalpy values of the enzymes are converted into volts, which is to be applied to the circuit. ATP is the energy source in the metabolic pathway which functions like a potential in the electronic circuit. Some enzymes can function only with the help of a cofactor; here modelled as a switch. Using all the above electronic circuit analogues, which possess the similar characteristics of the metabolic pathway constituents, circuits have been designed.
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Using multi-matching system based on a simplified deformable model of the human iris for iris recognition
MING Xing 1, XU Tao 2, WANG Zheng-xuan 3
J4. 2004, 1 (3):  183-190.  DOI:
Abstract ( 1399 )   PDF  
A new method for iris recognition using a multi-matching system based on a simplified deformable model of the human iris was proposed. The method defined iris feature points and formed the feature space based on a wavelet transform. In the matching stage it worked in a crude manner. Driven by a simplified deformable iris model, the crude matching was refined. By means of such multi-matching system, the task of iris recognition was accomplished. This process can preserve the elastic deformation between an input iris image and a template and improve precision for iris recognition. The experimental results indicate the va-lidity of this method.
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A chaotic neural network mimicking an olfactory system and its application on image recognition
WANG Le 1 , LI Guang 1 , LI Xu 1 , GUO Hong-ji 2 , Walter J. Freeman 3
J4. 2004, 1 (3):  191-198.  DOI:
Abstract ( 1184 )   PDF  
Based on the research of a biological olfactory system, a novel chaotic neural network model - K set model has been es-tablished. This chaotic neural network not only simulates the real brain activity of an olfactory system, but also presents a novel chaotic concept for signal processing and pattern recognition. The characteristics of the K set models are investigated and show that a KIII model can be used for image pattern classification.
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