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RISS 인기검색어
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- 저자 : Mei Bie (검색결과 5 건)
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Frequency Hopping CR MAC Protocol in Cognitive Radio Ad Hoc Network
Mei Bie,Zhe Wang,Wei Xiao,Kai Song 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.9
To insure the fairness for the Cognitive Radio (CR) nodes with various available channels, a frequency hopping CR MAC protocol based dynamic (named DCR-MAC) is proposed. In the case of uneven distribution of frequency spectrum in cognitive Ad Hoc network, based on the numbers of workable channels of each cognitive node, DCR-MAC protocol adjusts access time dynamically, ensuring the node priority access channel number, in order to improve the overall performance of the network. Meanwhile, against the problem of the multi-channel hidden terminal which appears in cognitive network of single wireless interface configuration, through introducing the "data segment" mechanism, and informing present channels occupied condition of adjacent node via receiving node, DCR-MAC protocol broadcast of channel occupation in transmission channel, and prohibit possible data transmission of adjacent node, in order to solve this problem on this account. Finally, proving that DCR-MAC protocol is obviously excelled other FH CR MAC protocols in through put capacity, packet access delay, accessing fairness which through network simulation.
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Static Hand Gesture Recognition Method Based on Depth Images with Shape Context Feature
Mei Bie,Zhe Wang 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.7
Static hand gesture recognition is very important for human-computer interaction systems, which is widely used in human-computer interaction systems. Using visible RGB images as the input method would be more stable, but the illumination and skin color are big problems; by contrast the depth images is a better choice. A novel algorithm which recognizes static hand gesture based on depth images using 3d shape context feature and improves the performance by arm major axis correction and contour-center sampling is proposed. Arm major axis correction can solve the rotation problem and the sampling, which increases the recognition rate. Besides, using 3d space information makes the algorithm more stable. Experimental results show that the average recognition rate gets to 95.8%, and the performance and speed are superior to existing algorithms. Recognition results can be widely used in the follow-on real scene human-computer interaction (HCI) operations.
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Yang Tao,Xiao-mei Bie,Feng-xia Lv,Hai-zhen Zhao,Zhao-xin Lu 한국미생물학회 2011 The journal of microbiology Vol.49 No.1
The antifungal activity and mechanism of fengycin in the presence and absence of commercial surfactin against Rhizopus stolonifer were investigated. The MIC (minimal inhibitory concentration) of fengycin without commercial surfactin added was 0.4 mg/ml while the MIC of fengycin with commercial surfactin added was 2.0 mg/ml. Fengycin acted on cell membrane and cellular organs and inhibited DNA synthesis. The antifungal effect of fengycin was reduced after commercial surfactin was added. All these results suggest that the fungal cell membrane may be the primary target of fengycin action and commercial surfactin may reduce the antifungal activity of fengycin.
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Fan Chen,Guojian Mei,Bo Zhao,Wenbo Bie,Guangxi Li 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.1
Three-dimensional (3D) ultrasonic vibration-assisted ELID grinding, which combines 3D ultrasonic vibration-assistance with electrolytic in-process grinding wheel dressing (ELID), is a compound process that is designed to achieve high-efficiency precision machining. A grinding force model of 3D ultrasonic vibration-assisted ELID grinding was first developed on the basis of the kinematics of a single grit particle and was verified through experimentation. The surface quality then was observed using white light interference profiling. It was demonstrated during the present investigation that the grinding force during 3D ultrasonic vibration-assisted ELID grinding was approximately 20 %~30 % lower than that of twodimensional (2D) ultrasonic vibration-assisted ELID grinding. In addition, the surface roughness (Ra) achieved during 3D ultrasonic vibration-assisted ELID grinding was approximately 40 %~50 % smoother than was achieved under 2D ultrasonic vibration-assisted ELID, and thus 3D ultrasonic vibration-assisted ELID grinding can achieve better surface quality.
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Identification of Spillovers in Urban Street Networks Based on Upstream Fixed Traffic Data
Dongfang Ma,DianHai Wang,YiMing Bie,Sheng Jin,Zhenyu Mei 대한토목학회 2014 KSCE JOURNAL OF CIVIL ENGINEERING Vol.18 No.5
This paper presents a method to identify spillovers based on upstream fixed detector data, using occupancy per cycle as thedetermination index. The key idea of this new method is that when the queues extend to the detector position, there will be unusablegreen time to a certain degree, and the occupancy will be greater than a particular threshold. Firstly, this paper introduces traffic wavemodels modified by a kinematic equation, and provides a calculation method for the occupancy per cycle under different trafficconditions, based on the relationship between the three basic traffic flow parameters, speed, traffic flow, and density. Secondly, thethreshold of occupancy, which characterizes the appearance of spillovers, is determined by the premise that the stopping and startingwaves have the same speed, and then the accuracy of the new method are verified by VISSIM simulation, using the ratio ofmisjudgment as the evaluation index. Finally, the precision stability of the method is analyzed, and the results show that the precisionof this method is affected by the the detector location and bus ratio insignificantly.
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