4篇
您的检索式：作者名="Haigen Sun"
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| 1 | The distribution and economic losses of alien species invasion to China显示文摘 | Haigen Xu Hui Ding Mingyan Li Sheng Qiang Jianying Guo Zhengmin Han Zongguo Huang Hongying Sun Shunping He Hairong Wu Fanghao Wan | 2006 | Biological Invasions2006，，7： | 1 |
| 2 | Scanning tunneling microscopic observation of enhanced superconductivity in epitaxial Sn islands grown on SrTiO3 substrate显示文摘Recent experimental and theoretical studies of single-layer FeSe film grown on SrTiO_3 have revealed interface enhanced superconductivity, which opens up a pathway to promote the superconducting transition temperature. Here, to investigate the role of SrTiO_3 substrate in epitaxial superconducting film, we grew a conventional superconductor b-Sn(bulk T_c~ 3.72 K) onto SrTiO_3 substrate by molecular beam epitaxy. By employing scanning tunneling microscope and spectroscopic measurements, an enhanced Tcof 8.2 K is found for epitaxial b-Sn islands, deduced by fitting the temperature dependence of the gap values using the BCS formula. The observed interfacial charge injection and enhanced electron–phonon coupling are responsible for this Tcenhancement. Moreover, the critical field of 8.3 T exhibits a tremendous increase due to the suppression of the vortex formation. Therefore, the coexistence of enhanced superconductivity and high critical field of Sn islands demonstrates a feasible and effective route to improve the superconductivity by growing the islands of conventional superconductors on perovskite-type titanium oxide substrates. | Zhibin Shao Zongyuan Zhang Hui Yuan Haigen Sun Yan Cao Xin Zhang Shaojian Li Habakubaho Gedeon Tao Xiang Qi-Kun Xue Minghu Pan | 2018 | Science Bulletin2018，63，20： | 0 |
| 3 | Rare Bird Sparse Recognition via Part-Based Gist Feature Fusion and Regularized Intraclass Dictionary Learning显示文摘Rare bird has long been considered an important in the field of airport security,biological conservation,environmental monitoring,and so on.With the development and popularization of IOT-based video surveillance,all day and weather unattended bird monitoring becomes possible.However,the current mainstream bird recognition methods are mostly based on deep learning.These will be appropriate for big data applications,but the training sample size for rare bird is usually very short.Therefore,this paper presents a new sparse recognition model via improved part detection and our previous dictionary learning.There are two achievements in our work:(1)after the part localization with selective search,the gist feature of all bird image parts will be fused as data description;(2)the fused gist feature needs to be learned through our proposed intraclass dictionary learning with regularized K-singular value decomposition.According to above two innovations,the rare bird sparse recognition will be implemented by solving one l1-norm optimization.In the experiment with Caltech-UCSD Birds-200-2011 dataset,results show the proposed method can have better recognition performance than other SR methods for rare bird task with small sample size. | Jixin Liu Ning Sun Xiaofei Li Guang Han Haigen Yang Quansen Sun | 2018 | Computers, Materials & Continua2018，，6： | 0 |
| 4 | Research on Route Optimization of Battlefield Collection Equipment Based on Improved Ant Algorithm显示文摘Accurate battlefield collection plays a crucial role in the end of thewar. How to effectively improve the ability of accurate battlefield collection hasbecome a hot issue of research. However, the existing support force is limited. Tosolve the problem, an improved ant algorithm is applied to the path optimizationproblem of battlefield collection equipment. A model for solving the collectionpath optimization problem of battlefield collection vehicles was designed, andan example was used to simulate calculations. The final results show that thealgorithm is effective and practical,which improves the army’s ability to accuratelycollect equipment in the modern battlefield. | Haigen Yang Wang Sun Xiao Fu Gang Li Luyang Li | 2021 | 国际计算机前沿大会会议论文集2021，，1： | 0 |
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