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- 저자 : Liao Jianwen (검색결과 2 건)
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Liao Jianwen,Meng Wei,Liu Zhifa,Cui Jinqiang 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.4
This paper presents a lightweight convolutional neural network architecture based hand gesture recognition for micro aerial vehicle (MAV) applications, which is able to detect hand gestures accurately and quickly convert into commands to control the MAV’s fl ight. In order to improve detection accuracy, a new activation function, named as adjustable-arctangent linear units (ALU) is proposed combined with linear stretching anchors (LSA) for accurate hand gesture detection. To achieve high detection speed, a lightweight neural network architecture (LNNA) is proposed and well trained. A large number of experiments show that by using LSA and ALU, the proposed solution can achieve the highest detection accuracy performance compared with commonly used methods. Moreover, compared with currently used YOLOv3, LNNA can improve the detecting speed by about 48.9% on 2080Ti GPU, and increase the speed to 11.67 frames per second on NVIDIA Jetson TX2. Flight experiments on MAVs also proved the eff ectiveness of the proposed hand gesture detection method.
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Effects of TETA or TEPA Loading on CO2 Adsorption Properties Using Pore-Expanded KIT-6 as Support
Jianwen Wei,Dejun Mei,Zhifeng Lin,Linlin Geng,Siqi Chen,Lei Liao 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2018 NANO Vol.13 No.4
Mesoporous silica pore-expanded KIT-6 was synthesized using tetraethoxysilane (TEOS) as the silica source, tri-block copolymer (P123) as a structure-directing agent and 1,3,5-trimethylbenzene (TMB) as swelling agents by a hydrothermal method. Then, pore-expanded KIT-6 (PE-KIT-6) was modified with different amounts of amines including triethylenetetramine (TETA) and tetraethylenepentamine (TEPA) by a post-synthetic impregnation method. The samples were characterized by small-angle X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), N2 adsorption/desorption, elemental analysis and thermal gravimetric analysis (TGA). Experimental results revealed that the modifiers were introduced into the samples and the CO2 adsorption capacity increased first and then decreased with the increase of TETA/TEPA loadings. Under the same loadings of TETA/TEPA, the samples modified by TEPA exhibited better CO2 adsorption capacities than the samples modified by TETA because TEPA has one more amine group than TETA in the molecule. The results also indicated that the samples had good adsorption capacities at the loadings ranging from 30% to 35%. Among them, the sample modified by TEPA with the loading of 35% had the maximum adsorption capacity of 2.9mmol/g. After five cycles of adsorption/desorption, the adsorption capacity only dropped 4.59%, indicating that the adsorbent of PE-KIT-6 modified by TEPA has good cyclic stability.
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