A correlated information removing based interference suppression technique in electronic nose for detection of bacteria

2017 ◽  
Vol 986 ◽  
pp. 145-152 ◽  
Author(s):  
Zhifang Liang ◽  
Fengchun Tian ◽  
Ci Zhang ◽  
Hao Sun ◽  
Xiangmin Liu ◽  
...  
2014 ◽  
Vol 644-650 ◽  
pp. 4599-4602
Author(s):  
Gang Fu ◽  
Jian Hua Lin ◽  
Qian He

Spread spectrum communication system wideband interference suppression technique has drawn increasing attention. In this paper, the typical broadband interference signal interference LFM (Linear Frequency-Modulated, LFM), for example, the results of research focus and reviews the current direct sequence spread spectrum (Direct Sequence Spread Spectrum, DSSS) system wideband interference suppression.


Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4846 ◽  
Author(s):  
Zhifang Liang ◽  
Fengchun Tian ◽  
Ci Zhang ◽  
Liu Yang

A medical electronic nose (e-nose) with 31 gas sensors is used for wound infection detection by analyzing the bacterial metabolites. In practical applications, the prediction accuracy drops dramatically when the prediction model established by laboratory data is directly used in human clinical samples. This is a key issue for medical e-nose which should be more worthy of attention. The host (carrier) of bacteria can be the culture solution, the animal wound, or the human wound. As well, the bacterial culture solution or animals (such as: mice, rabbits, etc.) obtained easily are usually used as experimental subjects to collect sufficient sensor array data to establish the robust predictive model, but it brings another serious interference problem at the same time. Different carriers have different background interferences, therefore the distribution of data collected under different carriers is different, which will make a certain impact on the recognition accuracy in the detection of human wound infection. This type of interference problem is called “transfer caused by different sample carriers”. In this paper, a novel subspace alignment-based interference suppression (SAIS) method with domain correction capability is proposed to solve this interference problem. The subspace is the part of space whose dimension is smaller than the whole space, and it has some specific properties. In this method, first the subspaces of different data domains are gotten, and then one subspace is aligned to another subspace, thereby the problem of different distributions between two domains is solved. From experimental results, it can be found that the recognition accuracy of the infected rat samples increases from 29.18% (there is no interference suppression) to 82.55% (interference suppress by SAIS).


2013 ◽  
Vol 325-326 ◽  
pp. 1206-1209
Author(s):  
Xiao Bin Wei ◽  
Yi Zhu ◽  
Song Lu ◽  
Wei Zhang

In allusion to the airdrome Electro Magnetic Interference (EMI),researched and designed the software and hardware technique methods on interference suppression for Measurement and control system based on PLC of airdrome power supply equipment.


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