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RISS 인기검색어
- 검색키워드
- 저자 : Lizhen Zhou (검색결과 4 건)
- 무료
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Finger Vein Image Quality Evaluation based on Support Vector Regression
Lizhen Zhou,Gongping Yang,Lu Yang,Yilong Yin,Ying Li 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.8
It has been found that poor quality images decrease the performance of finger vein recognition system, due to missing, vague or spurious features. Therefore, it is important for a finger vein recognition system to evaluate the quality of finger vein images. In this paper, a new method based on Support Vector Regression (SVR) is proposed for finger vein image quality evaluation. In our method, we first manually annotate quality scores for finger vein images in training set and extract five quality features of these images. Then quality scores and quality features are used to build a SVR model, which will be applied to evaluate quality for testing images. In addition, we explore the use of quality score and ascertain that quality score can be used as ancillary information to enhance recognition accuracy for finger vein. Experimental results show that our proposed method is effective for finger vein image quality evaluation.
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Lizhen Wu,Xusheng Yang,Hu Zhou,Xiaohong Hao 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.4
Suitable location and optimal sizing are impact on voltage stability margin of the distributed system. It is important to accurately simulate the random output active power of Distributed Generation (DG). In order to model uncertainties of intermittent distributed generation and load, this paper proposes a multi-scenario tree model of wind-photovoltaic-load using multiple scenarios technique based on the Wasserstein distance metrics, which generates asymptotically optimal scenario. And in this paper, a multi-objective optimizes control model with scenario tree is presented, which including objectives that are the total active power losses and the voltage deviations of the bus. Moreover, a new hybrid Honey Bee Mating Optimization and Particle Swarm Optimization (HBMO-PSO) algorithm is proposed to solved the problems. In the HBMO-PSO algorithm, the mating process is corrected, which the PSO algorithm is combined with the HBMO algorithm to improve the performance of HBMO. Finally, a typical IEEE 33-bus distribution test system is used to investigate the feasibility and effectiveness of the proposed method. Simulation results illustrate the correctness and adaptability of the proposed model and the improved algorithm.
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OsSPL13 controls grain size in cultivated rice
Si, Lizhen,Chen, Jiaying,Huang, Xuehui,Gong, Hao,Luo, Jianghong,Hou, Qingqing,Zhou, Taoying,Lu, Tingting,Zhu, Jingjie,Shangguan, Yingying,Chen, Erwang,Gong, Chengxiang,Zhao, Qiang,Jing, Yufeng,Zhao, Y Nature Publishing Group, a division of Macmillan P 2016 Nature genetics Vol.48 No.4
<P>Although genetic diversity has a cardinal role in domestication, abundant natural allelic variations across the rice genome that cause agronomically important differences between diverse varieties have not been fully explored. Here we implement an approach integrating genome-wide association testing with functional analysis on grain size in a diverse rice population. We report that a major quantitative trait locus, GLW7, encoding the plant-specific transcription factor OsSPL13, positively regulates cell size in the grain hull, resulting in enhanced rice grain length and yield. We determine that a tandem-repeat sequence in the 5'UTR of OsSPL13 alters its expression by affecting transcription and translation and that high expression of OsSPL13 is associated with large grains in tropical japonica rice. Further analysis indicates that the large-grain allele of GLW7 in tropical japonica rice was introgressed from indica varieties under artificial selection. Our study demonstrates that new genes can be effectively identified on the basis of genome-wide association data.</P>
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Study on the Flexural Fatigue Performance of CFRP-OFBG Plate Reinforced Damaged Steel Beams
Langni Deng,Mengjun Zhong,Yang Liu,Ling Liao,Shijin Lai,Lizhen Lei,Zheng Zhou 대한토목학회 2021 KSCE Journal of Civil Engineering Vol.25 No.12
This paper studies the flexural fatigue performance of damaged steel beams strengthened by carbon fiber reinforced plastic-optical fiber bragg grating (CFRP-OFBG) plates. By analyzing the test beam's failure mechanism under cyclic loading and the strain data monitored by the CFRP-OFBG panel in real-time, a life prediction model based on cumulative fatigue damage is proposed. The test results show that CFRP-OFBG plate reinforcement effectively reduces the fatigue crack growth rate of damaged steel beams and increases the fatigue life of damaged steel beams by 22.46%. The analysis and test results show that the minimum error between the calculated value of the life prediction model and the test value is -24.13%, and the maximum error is -5.61%. This study provides some suggestions for improving the service life of existing fatigue-damaged steel beams and establishing a simple fatigue life evaluation model.
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