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Self-healing Cellular Architectures for Biologically-inspired Highly Reliable Electronic Systems

Self-healing Cellular Architectures for Biologically-inspired Highly Reliable Electronic Systems
用于受生物学启发的高可靠性电子系统的自愈蜂窝架构
批准号:
EP/F062192/1
负责人:
Andy Tyrrell
金额:
$50.08万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2008
资助国家:
英国
项目状态:
已结题
起止时间:
2008 至 --

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中文摘要
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英文摘要
Powerful and sophisticated systems, from computers, through control systems, to 'conventional' household appliances have become a necessity in our modern way of life. In the modern world of digital electronics - virtually all of which is now built using VLSI technology - we are quite accustomed to the idea that hundreds of thousands, often millions, of individual components on a chip must work faultlessly over extended periods of time. Yet, it commonly requires only a single transistor to fail to have catastrophic consequences for the entire system. Imagine an automobile travelling at high speed in the fast line of a busy motorway. Suddenly, the electronic Engine Management Unit (EMU) develops a malfunction, the engine cuts out; soon after this the servo-assisted brakes and steering (that depend on the engine inlet manifold vacuum) both cease to function properly; a queue of stationary vehicles is fast approaching. The outcome of this scenario is left to the reader's imagination. This is a somewhat dramatic thought-experiment, but one that brings the safety-criticality and reliability aspects of some everyday digital electronic components in our lives into stark focus. The design of complex, but reliable, electronic systems and ensuring their long-term fault free operation is a major challenge we face today. This demand is even more pronounced in the case of electronic systems where their correct operation is imperative, e.g., anti-lock braking systems, fly-by-wire aircraft, space exploration, industrial control and shutdown systems; they should be able to operate correctly in the presence of faults and be fault tolerant. How can we design such reliable systems? Nature offers some remarkable examples dealing with complexity and unreliability. Living organisms, and in particular the human body, is one of the most complex systems ever known. Yet they possess an extremely high degree of reliability. Although local failures, due to harmful pathogens and environmental conditions, are common, the overall function of the organism is highly reliable. Many of the cells and tissues die as a result of damage, but because self-diagnostic and self-healing continues incessantly, full functional integrity of the body is not compromised. It will carry on working properly because the body's defence mechanism, comprising numerous immune responses, will try to restore its full functionality. We could therefore justly ask ourselves the question; would it be more efficient and less costly to draw inspiration from nature in how it deals with the complexity vs. unreliability issue with such a remarkable degree of efficiency? The challenge we propose to take on, therefore, is to adapt biological processes found in living beings in our pursuit of designing reliable electronic systems that demand an ever increasing level of complexity. Although a great deal has already been achieved in these areas, much of this progress having been made by the two collaborators in this proposal, there remains still a vast amount to be done. The objective of this proposal is to evaluate and apply novel, biologically inspired, processes and algorithms for building reliable VLSI systems on silicon that possess self-diagnostic and self-healing properties. Inspired by nature, our research will adapt properties of biological systems, such as their multi-cellular organisation and evolutionary development, to create efficient electronic systems. It will also apply biological processes and the characteristics of both the innate and the acquired immune system to help solve the reliability and fault tolerant issues of artificial systems at cell, tissue (subsystem) and also at organism (system) levels. Our research will aim to pave the way for a biologically inspired unique design approach for electronics systems across a wide range of applications; from communication, through computing and control, to systems operating in hostile environments.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
Multi-objective optimisation of cell-array circuit evolution
单元阵列电路演化的多目标优化
DOI: 10.1109/cec.2011.5949651
发表时间: 2011
期刊:
影响因子: --
作者: [Bremner P]
通讯作者: Bremner P
Automatic Code Generation on a MOVE Processor Using Cartesian Genetic Programming
使用笛卡尔遗传编程在 MOVE 处理器上自动生成代码
DOI: --
发表时间:
期刊: 9th International Conference on Evolvable Systems
影响因子: --
作者: [Andrew Martin Tyrrell (Author)]
通讯作者: Andrew Martin Tyrrell (Author)
From Bidirectional Associative Memory to a noise-tolerant, robust Protein Processor Associative Memory
从双向联想记忆到耐噪、稳健的蛋白质处理器联想记忆
DOI: --
发表时间:
期刊: Artificial Intelligence
影响因子: 14.4
作者: [Andrew Martin Tyrrell (Author)]
通讯作者: Andrew Martin Tyrrell (Author)
A Developmental and Immune-Inspired Dynamic Task Allocation Algorithm for Microprocessor Array Systems
用于微处理器阵列系统的发育和免疫启发的动态任务分配算法
DOI: --
发表时间:
期刊:
影响因子: --
作者: [Andrew Martin Tyrrell (Author)]
通讯作者: Andrew Martin Tyrrell (Author)
8
    Autonomous Robot Evolution (ARE): Cradle to Grave
    • 批准号:
      EP/R03561X/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $128.97万
    • 财政年份:
      2018
    • 负责人:
      Andy Tyrrell
    • 依托单位:
    Bio-inspired Adaptive Architectures and Systems
    • 批准号:
      EP/K040820/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $117.14万
    • 财政年份:
      2014
    • 负责人:
      Andy Tyrrell
    • 依托单位:
    PAnDA: Programmable Analogue and Digital Array
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      EP/I005838/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $155.54万
    • 财政年份:
      2010
    • 负责人:
      Andy Tyrrell
    • 依托单位:
    Molecular Software and Hardware for Programmed Chemical Synthesis
    • 批准号:
      EP/F055951/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $21.7万
    • 财政年份:
      2008
    • 负责人:
      Andy Tyrrell
    • 依托单位:
    国内基金
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    力学环境对骨愈合初期的新生血管形成图式的影响研究
    • 批准号:
      11072021
    • 项目类别:
      面上项目
    • 资助金额:
      45.0万元
    • 批准年份:
      2010
    • 负责人:
      赵峰
    • 依托单位:
    烧伤大鼠骨髓间充质干细胞迁移到外周血机制的研究
    • 批准号:
      30670824
    • 项目类别:
      面上项目
    • 资助金额:
      27.0万元
    • 批准年份:
      2006
    • 负责人:
      韩冰
    • 依托单位:
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    • 批准号:
      30500194
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      25.0万元
    • 批准年份:
      2005
    • 负责人:
      李海红
    • 依托单位:
    转染EDA-A1基因诱导表皮干细胞分化为汗腺细胞的研究
    • 批准号:
      30400172
    • 项目类别:
      青年科学基金项目
    • 资助金额:
      22.0万元
    • 批准年份:
      2004
    • 负责人:
      陈伟
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