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On-line Drift Reduction for Portable Electronic Nose Instrument in Monitoring Indoor Formaldehyde
Jingwei Feng,Fengchun Tian,Bo Hu,Qi Ye,Bo Xiao,Jielian Guo 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
In this paper, a new on-line drift reduction method based on component correction method is proposed for using in a portable electronic nose (Enose) instrument which is used for real-time monitoring indoor formaldehyde. For a portable Enose instrument which is used indoors, the external conditions are changed from time to time, so the drift direction cannot be easily obtained by using component correction method. Support vector machines (SVM) is used for predicting baseline of each sensor in portable Enose instrument. According baseline prediction and correction, the drift direction is obtained, and reduced by using component correction. And then, another SVM is used for predicting the concentration of formaldehyde. The results show that the method works efficiently for a portable Enose instrument which is used for real-time monitoring indoor formaldehyde.
Chen Zhipeng,Luo Feng,Zeng Jingwei,Dai Jiancheng,Zhou Guanghuai,Li Ruijie 한국해양과학기술원 2023 Ocean science journal Vol.58 No.1
Salt marshes are now known to improve coastal safety by attenuating waves and stabilizing the bed. Meanwhile, for salt marsh conservatin and restoration, a great deal of research has been done on the establishment mechanism of vegetation in salt marshes. However, research on the efects of hydrodynamic disturbance on the development of salt marsh vegetation is limited. The purpose of this paper is to investigate how the hydro-morphodynamic process afects the establishment and expansion of plants in salt marshes and to simulate the establishment process. First, we used a 2D fnite-element model to simulate hydro-morphodynamics in the selected tidal fat in Jiangsu, China. We then defned the variables describing the frequency and magnitude of hydrodynamic disturbance and quantifed the efects of disturbance on plant establishment using Spearman correlation coefcients. Finally, the vegetation development process was further analyzed using a logistic regression model, and the vegetation development in the study area was simulated from 2017 to 2021. The results show that salt marsh vegetation colonization has a relatively high correlation with fooding time and bed shear stress (ρ>0.6), and bed shear stress is the main hydrodynamic disturbance parameter limiting further expansion of salt marsh vegetation. The method combining hydrodynamic modeling and logistic regression has the potential to be used to identify hydrodynamic disturbances in future salt marsh restoration and management processes and to help design appropriate restoration measures.