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| 1 | SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness显示文摘Image fusion aims to integrate complementary information in source images to synthesize a fused image comprehensively characterizing the imaging scene. However, existing image fusion algorithms are only applicable to strictly aligned source images and cause severe artifacts in the fusion results when input images have slight shifts or deformations. In addition,the fusion results typically only have good visual effect, but neglect the semantic requirements of high-level vision tasks.This study incorporates image registration, image fusion, and semantic requirements of high-level vision tasks into a single framework and proposes a novel image registration and fusion method, named Super Fusion. Specifically, we design a registration network to estimate bidirectional deformation fields to rectify geometric distortions of input images under the supervision of both photometric and end-point constraints. The registration and fusion are combined in a symmetric scheme, in which while mutual promotion can be achieved by optimizing the naive fusion loss, it is further enhanced by the mono-modal consistent constraint on symmetric fusion outputs. In addition, the image fusion network is equipped with the global spatial attention mechanism to achieve adaptive feature integration. Moreover, the semantic constraint based on the pre-trained segmentation model and Lovasz-Softmax loss is deployed to guide the fusion network to focus more on the semantic requirements of high-level vision tasks. Extensive experiments on image registration, image fusion,and semantic segmentation tasks demonstrate the superiority of our Super Fusion compared to the state-of-the-art alternatives.The source code and pre-trained model are publicly available at http://gffzz188fe103f8f1460asopwkkvvnxc0u6nv0.ffgz.tsg.suse.edu.cn/Linfeng-Tang/Super Fusion. | Linfeng Tang Yuxin Deng Yong Ma Jun Huang Jiayi Ma | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，12： | 3 |
| 2 | Experimental comparison of SiC GTO and ETO for pulse power applications显示文摘Silicon carbide(SiC) emitter turn-off thyristors(ETOs) are very promising high power capacity semiconductor devices for high voltage and high power density power systems and pulse power applications. However,reports on comparison of high voltage SiC GTOs and ETOs in pulse power applications have been rare. In this paper, a comprehensive study on a 6.5 kV SiC GTO and ETO are carried out to demonstrate the superior performance of the SiC ETO over the GTO in pulse power application. A 6.5 kV SiC ETO was designed and tested with a printed circuit board(PCB) integrated gate driver. The forward conduction characteristics of the SiC ETO and GTO in elevated temperatures are measured and compared, showing the excellent temperature coefficient of the SiC ETO's output characteristics. Their turn-off characteristics with resistive load are measured and compared,demonstrating that the SiC ETO has much faster switching speed and smaller turn-off loss. Experimental results demonstrate that the SiC ETO has a better performance, especially with respect to its switching characteristics,making it a very competitive candidate for high power and pulse power applications. | Cheng Zeng Linfeng Deng Zongjian Li Jun Wang | 2018 | Journal of Semiconductors2018，39，12： | 2 |
| 3 | A fault identification method of rotating machinerybased on t-SNE显示文摘A fault identification method ofrotating machinery is proposed,which combines wavelet packet of time-frequency analysis and manifold learning.Firstly,the sampled vibration signal is decomposed to multilayer information with wavelet packet decomposition(WPD) method.Andevery level data of wavelet packet decomposition is processed bydemodulatingof Hilbert transform,eliminating the high frequency noiseof FIR filterand reducing the data length of the low frequency of resampling.Further,every level data vector is deal with normalization and calculated for the auto power spectrum.Finally,the manifold learning methods of t distributed stochastic neighbor embedding(t-SNE) is applied to do dimension reduction to generate 2D manifold figure data.Different fault forms of gearbox have different manifold features,which is used to identify failure status of equipment.With the experiment test,the feasibility and effectiveness of this identification method is verified. | GuYuhai He Linfeng Deng Yali | 2016 | 仪器仪表学报2016，37，S1： | 1 |
| 4 | Rapid subsurface damage detection of SiC using inductivity coupled plasma显示文摘This paper proposes a method for the rapid detection of subsurface damage(SSD)of Si C using atmospheric inductivity coupled plasma.As a plasma etching method operated at ambient pressure with no bias voltage,this method does not introduce any new SSD to the substrate.Plasma diagnosis and simulation are used to optimize the detection operation.Assisted by an Si C cover,a taper can be etched on the substrate with a high material removal rate.Confocal laser scanning microscopy and scanning electron microscope are used to analyze the etching results,and scanning transmission electron microscope(STEM)is adopted to confirm the accuracy of this method.The STEM result also indicates that etching does not introduce any SSD,and the thoroughly etched surface is a perfectly single crystal.A rapid SSD screening ability is also demonstrated,showing that this method is a promising approach for the rapid detection of SSD. | Yi Zhang Linfeng Zhang Keyu Chen Dianzi Liu Dong Lu Hui Deng | 2021 | International Journal of Extreme Manufacturing2021，3，3： | 1 |
| 5 | Simulation study of a 4H-SiC lateral BJT for monolithic power integration显示文摘Power integration based on 4 H-SiC is a very promising technology for high-frequency and high-temperature power electronics applications. However, the fabrication processes used in Si BiCMOS technology is not applicable in 4 H-SiC at present, and few studies on the monolithic power integration of the SiC signal devices and power devices have been reported. In this paper, we propose a novel lateral BJT structure, which is suitable for monolithically integrating with the vertical power BJT on the same epitaxial wafer at the cost of one additional mask. The signal BJT's static and dynamic characteristics are comprehensively investigated by TCAD simulation.Simulation results show that the common-emitter current gains of the 4 H-SiC signal BJT are 133 and 52 at room temperature and 300 ℃, respectively. Its implementation in an inverter shows that its switching time is about200 ns. | Shiwei Liang Jun Wang Fang Fang Linfeng Deng | 2018 | Journal of Semiconductors2018，39，12： | 0 |
| 6 | Impacts of reducing air pollutants and CO_(2) emissions in urban road transport through 2035 in Chongqing, China显示文摘The road transport sector in megacities is confronted with pressing local air pollution and carbon dioxide(CO_(2))control issues.To determine effective policy instruments for saving energy and the co-control of air pollutants and CO_(2),several mainstream measures were examined and compared in Chongqing's road transport sector from 2017 to 2035.An integration assessment framework was developed by combining the Long-range Energy Alternatives Planning(LEAP)system and a set of quantitative methods for evaluating the co-benefits of emission reductions(including the air pollutant equivalent(APeq),cocontrol coordinate system,and pollutant reduction cross-elasticity(Elsa/b)).Results showed that the shifting transportation modes scenario presented the most significant potential for energy-saving and emission reductions,reducing energy use by 30.9%and air pollutants and CO_(2) emissions by approximately 27e32%compared with the business as usual(BAU)scenario in 2035.The improving energy efficiency scenario also provided significant co-benefits for reducing air pollutants and CO_(2) emissions.Nevertheless,the promoting alternative fuel scenario may increase fine particulate matter(PM2.5)emissions by 2.2%compared to BAU in 2035 under the cleanness of regional electricity in 2017.Our findings suggest that the shifting transportation modes were effective measures to reduce air pollutants and CO_(2) in the short term synergistically,and highlighted the importance of cleaner electricity generation to develop electric vehicles in the medium and long term. | Linfeng Duan Wei Hu Di Deng Weikai Fang Min Xiong Peili Lu Zhenliang Li Chongzhi Zhai | 2021 | Environmental Science and Ecotechnology2021，，4： | 0 |
| 7 | Tuning 2D magnetism in Fe_(3+X)GeTe_(2) films by element doping显示文摘Two-dimensional(2D)ferromagnetic materials have been discovered with tunable magnetism and orbital-driven nodal-line features.Controlling the 2D magnetism in exfoliated nanoflakes via electric/magnetic fields enables a boosted Curie temperature(T_(C))or phase transitions.One of the challenges,however,is the realization of high T_(C) 2D magnets that are tunable,robust and suitable for large scale fabrication.Here,we report molecular-beam epitaxy growth of wafer-scale Fe_(3+X)GeTe_(2) films with T_(C) above room temperature.By controlling the Fe composition in Fe_(3+X)GeTe_(2),a continuously modulated T_(C) in a broad range of 185–320 K has been achieved.This widely tunable TC is attributed to the doped interlayer Fe that provides a 40%enhancement around the optimal composition X=2.We further fabricated magnetic tunneling junction device arrays that exhibit clear tunneling signals.Our results show an effective and reliable approach,i.e.element doping,to producing robust and tunable ferromagnetism beyond room temperature in a large-scale 2D Fe_(3+X)GeTe_(2) fashion. | Shanshan Liu Zihan Li Ke Yang Enze Zhang Awadhesh Narayan Xiaoqian Zhang Jiayi Zhu Wenqing Liu Zhiming Liao Masaki Kudo Takaaki Toriyama Yunkun Yang Qiang Li Linfeng Ai Ce Huang Jiabao Sun Xiaojiao Guo Wenzhong Bao Qingsong Deng Yanhui Chen Lifeng Yin Jian Shen Xiaodong Han Syo Matsumura Jin Zou Yongbing Xu Xiaodong Xu Hua Wu Faxian Xiu | 2022 | National Science Review2022，9，6： | 0 |
| 8 | Asymmetric Transfer Hydrogenation of ω-Bromo Acetophenones in Aqueous Media显示文摘 | Wang Fei Liu Hui Cui Xin Cun Linfeng Zhu Jin Deng Jingen Jiang Yaozhong | 2004 | 合成化学2004，12，z1： | 0 |
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