Chemical Detection Using the Receptor Density Algorithm
Chemical Detection Using the Receptor Density Algorithm
复制标题
使用受体密度算法进行化学检测
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
A. Tyrrell
中科院分区：
文献类型：
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作者：
J. Hilder;Nick D. L. Owens;M. Neal;Peter J. Hickey;Stuart N. Cairns;D. Kilgour;J. Timmis;A. Tyrrell
本文介绍了应用受体密度算法，人工免疫系统，用于检测各种光谱仪提供的数据的化学品。该系统创建与已知化学品库相匹配的化学特征，从而能够积极识别有害物质。该系统的性能进行了测试，对一个公开的质谱数据集，对它以前已被证明是一个有效的异常检测算法。然后讨论了一种自主的化学检测设备，其中该算法是运行在硬件上嵌入在先锋机器人携带便携式化学剂监视器。
This paper describes the application of the receptor density algorithm, an artificial immune system, as used to detect chemicals from data provided by various spectrometers. The system creates chemical signatures which are matched to a library of known chemicals, allowing the positive identification of hazardous substances. The performance of the system is tested against a publicly available mass-spectrometry dataset, against which it has previously been demonstrated as an effective anomaly detection algorithm. An autonomous chemical-detection device is then discussed, in which the algorithm is running on hardware embedded in a Pioneer robot carrying a portable chemical agent monitor.