Lemoine E, Merceron D, Sallantin J, Nguifo E M
LIRMM, Montpellier, France. lemoine,merceron,
Pac Symp Biocomput. 1999:290-301. doi: 10.1142/9789814447300_0029.
This paper describes a new approach to problem solving by splitting up problem component parts between software and hardware. Our main idea arises from the combination of two previously published works. The first one proposed a conceptual environment of concept modelling in which the machine and the human expert interact. The second one reported an algorithm based on reconfigurable hardware system which outperforms any kind of previously published genetic data base scanning hardware or algorithms. Here we show how efficient the interaction between the machine and the expert is when the concept modelling is based on reconfigurable hardware system. Their cooperation is thus achieved with an real time interaction speed. The designed system has been partially applied to the recognition of primate splice junctions sites in genetic sequences.
本文描述了一种通过在软件和硬件之间划分问题组成部分来解决问题的新方法。我们的主要想法源于之前发表的两篇作品的结合。第一篇提出了一个概念建模的概念环境，其中机器和人类专家进行交互。第二篇报道了一种基于可重构硬件系统的算法，该算法优于任何先前发表的遗传数据库扫描硬件或算法。在这里，我们展示了基于可重构硬件系统进行概念建模时，机器与专家之间的交互效率有多高。因此，它们的合作以实时交互速度实现。所设计的系统已部分应用于遗传序列中灵长类剪接连接位点的识别。
