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Optimal Design of Convolutional Neural Network for EEG-based Authentication
HyeonBin Lee,Gwangho Kim,JuHyeong Kim,YoungShin Kang,Cheolsoo Park 대한전자공학회 2021 IEIE Transactions on Smart Processing & Computing Vol.10 No.3
An electroencephalogram (EEG) is an electrical recording from the scalp when neurons in the brain are active. EEG signals have been studied for authentication because they are difficult to falsify and can distinguish individuals. On the other hand, EEG is nonstationary, and its patterns vary slightly. The authentication model was trained day-to-day to overcome the nonstationarity of EEG. EEG signals were measured on two-channel frontal electrodes for five days from 10 subjects in their resting states. Convolutional neural networks were designed for an EEG-based authentication system, and the model was optimized using a Bayesian optimization method. The proposed neural network model was trained with the EEG data from the first to the fourth day and tested using the fifth-day data, which yielded a mean accuracy of 93.23%, precision of 71.31%, and recall of 57.65%. The incremental learning of the EEG signals day-to-day improves the authentication performance, including various EEG patterns in the model.
Gradual Disordering of LTA Zeolite for Continuous Tuning of the Molecular Sieving Effect
Kim, Hyeonbin,Cho, Hae Sung,Kim, Chaehoon,Choi, Minkee American Chemical Society 2017 The Journal of Physical Chemistry Part C Vol.121 No.12
<P>The 'molecular sieving effect' of zeolites has enabled size-selective adsorption and catalysis. Although a large variety of zeolites have been developed thus far, it is still challenging to find zeolites that can separate molecules such as CO2, N-2, CH4, and small organics that have kinetic diameters all closely located in the range of 0.3 to 0.4 nm. Here we demonstrate that controlled collapse or atomic disordering of NaA zeolite can systematically narrow the effective pore size below 0.4 nm and thus 'tune' the molecular sieving effect. As the zeolite is gradually disordered, the adsorption amounts for all gas molecules decrease; however, larger molecules show a much faster decrease than that of the smaller ones. Consequently, the adsorption selectivities could be remarkably enhanced for various gas pairs.</P>
( Hyeonbin Kim ),( Mi Hee Kim ),( Ui-lim Choi ),( Moon-soo Chung ),( Chul-ho Yun ),( Youngkun Shim ),( Jaejun Oh ),( Sungbeom Lee ),( Gun Woong Lee ) 한국미생물생명공학회 2024 Journal of microbiology and biotechnology Vol.34 No.3
Xanthomonas oryzae pv. oryzae (Xoo) causes a devastating bacterial leaf blight in rice. Here, the antimicrobial effects of D-limonene, L-limonene, and its oxidative derivative carveol against Xoo were investigated. We revealed that carveol treatment at ≥ 0.1 mM in liquid culture resulted in significant decrease in Xoo growth rate (> 40%) in a concentration-dependent manner, and over 1 mM, no growth was observed. The treatment with D-limonene and L-limonene also inhibited the Xoo growth but to a lesser extent compared to carveol. These results were further elaborated with the assays of motility, biofilm formation and xanthomonadin production. The carveol treatment over 1 mM caused no motilities, basal level of biofilm formation (< 10%), and significantly reduced xanthomonadin production. The biofilm formation after the treatment with two limonene isomers was decreased in a concentration-dependent manner, but the degree of the effect was not comparable to carveol. In addition, there was negligible effect on the xanthomonadin production mediated by the treatment of two limonene isomers. Field emission-scanning electron microscope (FE-SEM) unveiled that all three compounds used in this study cause severe ultrastructural morphological changes in Xoo cells, showing shrinking, shriveling, and holes on their surface. Moreover, quantitative real-time PCR revealed that carveol and D-limonene treatment significantly down-regulated the expression levels of genes involved in virulence and biofilm formation of Xoo, but not with L-limonene. Together, we suggest that limonenes and carveol will be the candidates of interest in the development of biological pesticides.