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arXiv 2021年

作者： Yang, Xiaoxiao Qian, Yeqiang Zhu, Huijie Wang, Chunxiang Yang, Ming Department of Automation Shanghai Jiao Tong University Shanghai200240 China The Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China University of Michigan-Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai200240 China Science and Technology on Near-Surface Detection Laboratory Wuxi214035 China

Thermal infrared (TIR) image has proven effectiveness in providing temperature cues to the RGB features for multispectral pedestrian detection. Most existing methods directly inject the TIR modality into the RGB-based framework or simply ensemble the results of two modalities. This, however, could lead to inferior detection performance, as the RGB and TIR features generally have modality-specific noise, which might worsen the features along with the propagation of the network. Therefore, this work proposes an effective and efficient cross-modality fusion module called Bi-directional Adaptive Attention Gate (BAA-Gate). Based on the attention mechanism, the BAA-Gate is devised to distill the informative features and recalibrate the representations asymptotically. Concretely, a bi-direction multi-stage fusion strategy is adopted to progressively optimize features of two modalities and retain their specificity during the propagation. Moreover, an adaptive interaction of BAA-Gate is introduced by the illumination-based weighting strategy to adaptively adjust the recalibrating and aggregating strength in the BAA-Gate and enhance the robustness towards illumination changes. Considerable experiments on the challenging KAIST dataset demonstrate the superior performance of our method with satisfactory speed. Copyright © 2021, The Authors. All rights reserved.

关键词： Feature extraction

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Partial wave analysis of + c.c.

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Journal of High Energy Physics 2025年第2期2025卷 1-24页

作者： Ablikim, M. Achasov, M. N. Adlarson, P. Afedulidis, O. Ai, X. C. Aliberti, R. Amoroso, A. An, Q. Bai, Y. Bakina, O. Balossino, I. Ban, Y. Bao, H.-R. Batozskaya, V. Begzsuren, K. Berger, N. Berlowski, M. Bertani, M. Bettoni, D. Bianchi, F. Bianco, E. Bortone, A. Boyko, I. Briere, R. A. Brueggemann, A. Cai, H. Cai, X. Calcaterra, A. Cao, G. F. Cao, N. Cetin, S. A. Chai, X. Y. Chang, J. F. Che, G. R. Chelkov, G. Chen, C. Chen, C. H. Chen, Chao Chen, G. Chen, H. S. Chen, H. Y. Chen, M. L. Chen, S. J. Chen, S. L. Chen, S. M. Chen, T. Chen, X. R. Chen, X. T. Chen, Y. B. Chen, Y. Q. Chen, Z. J. Chen, Z. Y. Choi, S. K. Cibinetto, G. Cossio, F. Cui, J. J. Dai, H. L. Dai, J. P. Dbeyssi, A. de Boer, R. E. Dedovich, D. Deng, C. Q. Deng, Z. Y. Denig, A. Denysenko, I. Destefanis, M. De Mori, F. Ding, B. Ding, X. X. Ding, Y. Dong, J. Dong, L. Y. Dong, M. Y. Dong, X. Du, M. C. Du, S. X. Duan, Y. Y. Duan, Z. H. Egorov, P. Fan, Y. H. Fang, J. Fang, S. S. Fang, W. X. Fang, Y. Fang, Y. Q. Farinelli, R. Fava, L. Feldbauer, F. Felici, G. Feng, C. Q. Feng, J. H. Feng, Y. T. Fritsch, M. Fu, C. D. Fu, J. L. Fu, Y. W. Gao, H. Gao, X. B. Gao, Y. N. Gao, Yang Garbolino, S. Garzia, I. Ge, L. Ge, P. T. Ge, Z. W. Geng, C. Gersabeck, E. M. Gilman, A. Goetzen, K. Gong, L. Gong, W. X. Gradl, W. Gramigna, S. Greco, M. Gu, M. H. Gu, Y. T. Guan, C. Y. Guo, A. Q. Guo, L. B. Guo, M. J. Guo, R. P. Guo, Y. P. Guskov, A. Gutierrez, J. Han, K. L. Han, T. T. Hanisch, F. Hao, X. Q. Harris, F. A. He, K. K. He, K. L. Heinsius, F. H. Heinz, C. H. Heng, Y. K. Herold, C. Holtmann, T. Hong, P. C. Hou, G. Y. Hou, X. T. Hou, Y. R. Hou, Z. L. Hu, B. Y. Hu, H. M. Hu, J. F. Hu, S. L. Hu, T. Hu, Y. Huang, G. S. Huang, K. X. Huang, L. Q. Huang, X. T. Huang, Y. P. Huang, Y. S. Hussain, T. Hölzken, F. Hüsken, N. in der Wiesche, N. Jackson, J. Janchiv, S. Jeong, J. H. Ji, Q. Ji, Q. P. Ji, W. Ji, X. B. Ji, X. L. Ji, Y. Y. Jia, X. Q. Jia, Z. K. Jiang, D. Jiang, H. B. Jiang, P. C. Jiang, S. S. Jiang, T. J. Jiang, X. S. Jiang, Y. Jiao, J. B. Jiao, J. K. Jiao, Z. Jin, S. Jin, Y Institute of High Energy Physics Beijing People’s Republic of China Budker Institute of Nuclear Physics SB RAS (BINP) Novosibirsk Russia Novosibirsk State University Novosibirsk Russia Uppsala University Uppsala Sweden Bochum Ruhr-University Bochum Germany Zhengzhou University Zhengzhou People’s Republic of China Johannes Gutenberg University of Mainz Mainz Germany University of Turin Turin Italy INFN Turin Italy University of Science and Technology of China Hefei People’s Republic of China State Key Laboratory of Particle Detection and Electronics Beijing People’s Republic of China Southeast University Nanjing People’s Republic of China Joint Institute for Nuclear Research Dubna Russia INFN Sezione di Ferrara Ferrara Italy Peking University Beijing People’s Republic of China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing People’s Republic of China University of Chinese Academy of Sciences Beijing People’s Republic of China National Centre for Nuclear Research Warsaw Poland Institute of Physics and Technology Ulaanbaatar Mongolia INFN Laboratori Nazionali di Frascati Frascati Italy Carnegie Mellon University Pittsburgh USA University of Muenster Muenster Germany Wuhan University Wuhan People’s Republic of China Turkish Accelerator Center Particle Factory Group Istinye University Istanbul Turkey Nankai University Tianjin People’s Republic of China Moscow Institute of Physics and Technology Moscow Russia China University of Geosciences Wuhan People’s Republic of China Soochow University Suzhou People’s Republic of China Henan University Kaifeng People’s Republic of China Nanjing University Nanjing People’s Republic of China North China Electric Power University Beijing People’s Republic of China Tsinghua University Beijing People’s Republic of China Institute of Modern Physics Lanzhou People’s Republic of China Jilin University Changchun People’s Republic of China Hunan University Changsha People’s Republic of

Based on a sample of (2712.4 ± 14.3) × 106 ψ(3686) events collected with the BESIII detector, a partial wave analysis of the decay $$ \psi (3686)\to \Lambda {\overline{\Sigma}}^0{\pi}^0 $$ + c.c. is performed to investigate Λ* and Σ* resonances in the $$ {\pi}^0{\overline{\Sigma}}^0 $$ and π0Λ invariant mass distributions. Significant contributions are found from the Λ(1405), Λ(1520), Λ(1600), Λ(1670), Λ(1690), Λ(1800), Λ(1890), Λ(2325), Σ(1385), Σ(1660), Σ(1670), Σ(1750), and Σ(1910). The masses, widths, and production branching fractions for each component are determined. In addition, the branching fraction of $$ \psi (3686)\to \Lambda {\overline{\Sigma}}^0{\pi}^0 $$ + c.c. is measured to be (1.544 ± 0.013 ± 0.071) × 10−4 for the first time, where the first uncertainty is statistical and the second systematic.

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Prevention and control of debris flow in the small watershed based on ecological landscape remediation: a case study of the Tianchi Lake Nature Reserve in Xinjiang, China

Prevention and control of debris flow in the small watershed...

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International Conference on Mechanic Automation and Control Engineering (MACE)

作者： Jie He Yuanting Liang Aike Kan Ningsheng Chen College of Earth Science Chengdu University of Technology Chengdu China Key Laboratory of Geo-detection & Information Techniques of Ministry of Education Chengdu University of Technology Chengdu China Key Laboratory of Mountain Hazard and the Earths Surface Processes Chinese Academy and Sciences Chengdu China

In China, there are massive scenic spots located in mountain areas where debris flow of small watershed, landslide, collapse ,and other disasters are well *** debris flow disaster does not only harm the quality of the downstream scenic landscape resources, but also threaten the visitors' life safety. This paper analyzed the features of debris flow disaster in the Tianchi Lake Nature Reserve in *** on the previous study of debris flow prevention and control pattern, and the concept of river ecological landscape remediation, this paper scientifically proposed the ecological landscape remediation countermeasures through comprehensively utilization of geological disaster ruined landscape resources, in order to protect natural ecological landscape in the scenic debris flow area. In the disaster area, the method of engineering protection is taken to control debris flow, and in the downstream area the integrated prevention and control pattern are taken, which is combining artificial landscape intervention with natural landscape coordination, in order to reach the aim of the remediation of debris flow disaster in scenic spot and an effective integration of scenic resources in the spots.

关键词： Lakes Sediments Rivers Area measurement Environmental factors Particle measurements Wildlife

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A Study on the Relationship Between the detection Distance of Borehole Radar and the Resistivity of Background Medium

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IOP Conference Series: Earth and Environmental science 2021年第1期660卷

作者： Weicun Yan Sixin Liu College of Geo-exploration Science and Technology Jilin University Changchun China Science and Technology on Near-Surface Detection Laboratory Wuxi China

Borehole radar has been widely used in engineering, exploration and other fields, and the detection distance of borehole radar is an important indicator to measure its performance. The detection distance of borehole radar is affected by many factors, including the radar system, the physical properties of background medium, the borehole environment and so on. In this paper, the relationship between the detection distance of the borehole radar and the resistivity of background medium is studied by numerical simulation. The experimental results show that the detection distance of borehole radar increases with the increase of the resistivity of background medium, and the relationship between them is approximately linear. This kind of simulation is helpful to the theoretical study of the borehole radar.

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Anti-personnel Mine detection by Sparse Representation of GPR B-scan Radargram Image

Anti-personnel Mine Detection by Sparse Representation of GP...

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Signal, Information and Data Processing (ICSIDP), IEEE International Conference on

作者： Tao Sun Chaopeng Luo Mengna Liu Liqing Zhou Xianxiu Tang Riheng Meng Xinjian Tang Weifeng Hao Electronic Information School of Wuhan University Wuhan China Science and Technology on Near-Surface Detection Laboratory Wuxi China Hubei Water Resources Technical College Wuhan China State Key Laboratory of Geomechanics and Geotechnical Engineering Institutude of Rock and Soil Mechanics Chinese Academy of Sciences Wuhan China Antarctic Center of Sureying and Mapping of Wuhan Univeristy Wuhan China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

Ground penetrating radar is an efficient close-range remote sensing and non-destructive-testing technique, which probes ultra-wide-band electromagnetic pulses to detect underground targets. Then theirs geometric features and material property characters will been figured out. A major clutter interference coupling with the response of the subsurface-buried-landmine is direct air wave and direct ground reflected waves, which hinder shallow buried landmine precise detection and discrimination. As for shallow buried targets, in this paper, a clutter and target response echo decoupling method with Linear-Gain-Compensation-Robust-PCA algorithm is proposed based on low-rank prior of clutters and target distribution spatial sparse prior. Compared with Principal Component Analysis, mean subtract algorithm, the performance of LGC-RPCA method is tested with simulations and indoor sand-box experiments. These demonstrate that the LGC-RPCA method with inexact augmented Lagrangian function is an efficient algorithm for shallow buried landmine detection and discrimination. Then, it will reduce the false alarm rate for identification of shallow buried anti-personnel Mine.

关键词： Sparse representation Ground Penetrating Radar Low-Rank Linear-Gain-Compensation Robust-PCA sparse representation ground penetrating radar clutter underground Antipersonnel mines electromagnetic pulses false alarm probability Lagrangian efficient algorithm

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Research on radio imaging method (RIM) multifrequency information fusion methods

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IOP Conference Series: Earth and Environmental science 2021年第1期660卷

作者： Jianfu Ni Xue Han Sixin Liu College of Geo-Exploration Science and Technology Jilin University Changchun China Science and Technology on Near-Surface Detection Laboratory Wuxi China

Radio imaging method (RIM) also called cross-hole electromagnetic wave method, is widely used in mineral exploration, engineering exploration and other fields. The RIM system can collect multi-frequency information, but the use of multi-frequency information is still limited to qualitative analysis or only one type of frequency information is used. By summarizing the multi-frequency information utilization methods appearing in a variety of geophysical methods, and the feasibility of RIM multi-frequency utilization is proved through theoretical analysis, three multi-frequency information fusion methods suitable for RIM are proposed, namely multi-frequency inversion strategies, Multi-frequency data fusion and multi-frequency image fusion. An example application analysis shows that the three multi-frequency information fusion methods make full use of the advantages of different frequencies and can improve the imaging result.

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Research on Propagation Characteristics of Seismic Signal for Moving Armoured Targets

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IOP Conference Series: Earth and Environmental science 2021年第1期660卷

作者： Kai Ding Shoujun Zheng Xinghua Li Yingjiao Rong Science and Technology on Near–Surface Detection Laboratory Wuxi China 214035 Army Engineering University of PLA Nanjing China 210007

This paper is focused on the Seismic Signal characteristics of wheel and track vehicles. The effect of vehicle speed of these two vehicles on the Seismic Signal was studied through experimental and theorical methods. The Seismic Signal s of these two vehicles with two different speeds were tested firstly. Then the measured signals were analyzed by means of the power spectrum method and the wavelet transform method, respectively. And the time- and frequency domain features of the signals were obtained subsequently. Finally, the influence of the speed and type of vehicle on the time- and frequency domain features of the signal and its propagation characteristic were investigated. The results show that, with the propagation of vehicle speed and distance, there is a similar varying law of the Seismic Signal for different vehicles. However, the difference of the time- and frequency domain feature between the two vehicles are striking.

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Search for invisible decays

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Journal of High Energy Physics 2025年第5期2025卷 1-19页

作者： Ablikim, M. Achasov, M. N. Adlarson, P. Afedulidis, O. Ai, X. C. Aliberti, R. Amoroso, A. An, Q. Bai, Y. Bakina, O. Balossino, I. Ban, Y. Bao, H.-R. Batozskaya, V. Begzsuren, K. Berger, N. Berlowski, M. Bertani, M. Bettoni, D. Bianchi, F. Bianco, E. Bortone, A. Boyko, I. Briere, R. A. Brueggemann, A. Cai, H. Cai, X. Calcaterra, A. Cao, G. F. Cao, N. Cetin, S. A. Chai, X. Y. Chang, J. F. Che, G. R. Che, Y. Z. Chelkov, G. Chen, C. Chen, C. H. Chen, Chao Chen, G. Chen, H. S. Chen, H. Y. Chen, M. L. Chen, S. J. Chen, S. L. Chen, S. M. Chen, T. Chen, X. R. Chen, X. T. Chen, Y. B. Chen, Y. Q. Chen, Z. J. Choi, S. K. Cibinetto, G. Cossio, F. Cui, J. J. Dai, H. L. Dai, J. P. Dbeyssi, A. de Boer, R. E. Dedovich, D. Deng, C. Q. Deng, Z. Y. Denig, A. Denysenko, I. Destefanis, M. De Mori, F. Ding, B. Ding, X. X. Ding, Y. Dong, J. Dong, L. Y. Dong, M. Y. Dong, X. Du, M. C. Du, S. X. Duan, Y. Y. Duan, Z. H. Egorov, P. Fan, G. F. Fan, J. J. Fan, Y. H. Fang, J. Fang, S. S. Fang, W. X. Fang, Y. Q. Farinelli, R. Fava, L. Feldbauer, F. Felici, G. Feng, C. Q. Feng, J. H. Feng, Y. T. Fritsch, M. Fu, C. D. Fu, J. L. Fu, Y. W. Gao, H. Gao, X. B. Gao, Y. N. Gao, Yang Garbolino, S. Garzia, I. Ge, P. T. Ge, Z. W. Geng, C. Gersabeck, E. M. Gilman, A. Goetzen, K. Gong, L. Gong, W. X. Gradl, W. Gramigna, S. Greco, M. Gu, M. H. Gu, Y. T. Guan, C. Y. Guo, A. Q. Guo, L. B. Guo, M. J. Guo, R. P. Guo, Y. P. Guskov, A. Gutierrez, J. Han, K. L. Han, T. T. Hanisch, F. Hao, X. Q. Harris, F. A. He, K. K. He, K. L. Heinsius, F. H. Heinz, C. H. Heng, Y. K. Herold, C. Holtmann, T. Hong, P. C. Hou, G. Y. Hou, X. T. Hou, Y. R. Hou, Z. L. Hu, B. Y. Hu, H. M. Hu, J. F. Hu, Q. P. Hu, S. L. Hu, T. Hu, Y. Huang, G. S. Huang, K. X. Huang, L. Q. Huang, P. Huang, X. T. Huang, Y. P. Huang, Y. S. Hussain, T. Hölzken, F. Hüsken, N. in der Wiesche, N. Jackson, J. Janchiv, S. Ji, Q. Ji, Q. P. Ji, W. Ji, X. B. Ji, X. L. Ji, Y. Y. Jia, X. Q. Jia, Z. K. Jiang, D. Jiang, H. B. Jiang, P. C. Jiang, S. S. Jiang, T. J. Jiang, X. S. Jiang, Y. Jiao, J. B. Jiao, J. K. Jiao, Z. Ji Institute of High Energy Physics Beijing People’s Republic of China Budker Institute of Nuclear Physics SB RAS (BINP) Novosibirsk Russia Novosibirsk State University Novosibirsk Russia Uppsala University Uppsala Sweden Bochum Ruhr-University Bochum Germany Zhengzhou University Zhengzhou People’s Republic of China Johannes Gutenberg University of Mainz Mainz Germany University of Turin Turin Italy INFN Turin Italy University of Science and Technology of China Hefei People’s Republic of China State Key Laboratory of Particle Detection and Electronics Beijing People’s Republic of China Southeast University Nanjing People’s Republic of China Joint Institute for Nuclear Research Dubna Russia INFN Sezione di Ferrara Ferrara Italy Peking University Beijing People’s Republic of China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing People’s Republic of China University of Chinese Academy of Sciences Beijing People’s Republic of China National Centre for Nuclear Research Warsaw Poland Institute of Physics and Technology Ulaanbaatar Mongolia INFN Laboratori Nazionali di Frascati Frascati Italy Carnegie Mellon University Pittsburgh USA University of Muenster Muenster Germany Wuhan University Wuhan People’s Republic of China Turkish Accelerator Center Particle Factory Group Istinye University Istanbul Turkey Nankai University Tianjin People’s Republic of China Moscow Institute of Physics and Technology Moscow Russia China University of Geosciences Wuhan People’s Republic of China Soochow University Suzhou People’s Republic of China Henan University Kaifeng People’s Republic of China Nanjing University Nanjing People’s Republic of China North China Electric Power University Beijing People’s Republic of China Tsinghua University Beijing People’s Republic of China Institute of Modern Physics Lanzhou People’s Republic of China Jilin University Changchun People’s Republic of China Hunan University Changsha People’s Republic of

Based on (1.0087 ± 0.0044) × 1010 J/ψ events collected with the BESIII detector at the BEPCII e+e− storage ring, we search for $$ {K}_S^0 $$ invisible decays via the J/ψ → $$ \phi {K}_S^0{K}_S^0 $$ process. No significant signal is observed, and the upper limit of the branching fraction of these invisible decays is set at 8.4 × 10−4 at the 90% confidence level. This is the first experimental search for $$ {K}_S^0 $$ invisible decays.

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Research on the Energy Characteristics of Battlefield Blasting Noise Based on Wavelet Packet

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IOP Conference Series: Materials science and Engineering 2017年第1期274卷

作者： Kai Ding Shoucheng Yan Yichao Zhu Ming Zhao Bi Mei Science and Technology on Near-Surface Detection Laboratory Wuxi China. School of Mechanics & Civil Engineering China University of Mining and Technology Beijing China.

When the acoustic fuse of smart landmines tries to detect and recognize a ground vehicle target, it is usually affected by gun shooting, explosive blasting or other similar noises on the actual battlefield. To improve the target recognition of smart landmines, it would be necessary to study the characteristics of these acoustic signals. Using sample data of the shooting noise of a certain type of rifle, the blasting noise of TNT, and the acoustic signals of a certain type of WAV, the energy characteristics of these noise signals are compared and analyzed. The result shows that the wavelet-packet energy method is effective in describing the characteristics of these acoustic signals with distinct intertype variations, and the frequency at the peak energy value can serve as a signature parameter for recognizing battlefield blasting noise signals from vehicle target signals.

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Application of update lifting morphological wavelet and non-negative matrix factorization for wheeled and tracked vehicles classification

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IOP Conference Series: Earth and Environmental science 2021年第1期660卷

作者： Kai Ding Kai Du Xiaogang Qi Yuelin Xu Junqi Cui Science and Technology on Near –Surface Detection Laboratory Wuxi China 214035 31104 troops Nanjing China 210007 Xidian University Xi'an China 710071

This paper presents an available scheme based on update lifting morphological wavelet (ULMW) and Non-negative matrix factorization (NMF) for wheeled and tracked vehicles classification. The ULWM algorithm which utilizes the update operator, means the morphological filter to replace the linear filter can preserve the impulsive shape details in seismic signal. Meanwhile the NMF method can reduce the computation cost. The traditional linear wavelet analysis and statistical analysis are compared with the presented scheme. Experimental results demonstrate that the presented scheme achieves a promising performance on extracting impulsive features of seismic signal and recognizing ground moving target.

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