Hardware Implementation of E-Nose in Arm-7 Board through Neural Networks

Shyam Gopal Sharma, Pascal Boilot,Evor L. Hines, Julian W. Gardn, Richard Pitt, Spencer John,Joanne Mitchell, David W. Morgan,Dongliang Huang,Henry Leung,Vincenzo Di Lecce, Jessica Uva, Hung-Yi Hsieh,Srinjoy Mitra,Stefano Fusi,Alan F. Murray,Elisabetta Chicca,Davide Badoni, Vittorio Dante, Massimo DaposAndrea,Gaetano Salina, Luciana Carota,Thomas Jacob Koickal,Alister Hamilton, Su Lim Tan,James A. Covington,Julian W. Gardner,Tim C. Pearce

semanticscholar(2016)

引用 0|浏览1
暂无评分
摘要
In the fast pacing world, it has becomes essential to so many gadgets that humans should take their effort to understand and use them. One such device is an Electronic Nose (E-Nose). There is still a long voyage ahead before artificial Electronic nose is developed completely. This work is a commendation for refining and enhancing current detection capabilities. Gas sensors used in electronic noses are based on broad selectivity profiles, mimicking the responses of olfactory receptors in the biological olfactory system. To identify a particular odour, the design is should be able to detect the odour which sufficient confidence and hence saving the humans for hazardous situation and false alarms.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要