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Chinese Automation Congress (CAC)

作者： Jingsi Wang Dong Liu Ran Zheng Yongcai Hu Wu Gao Chen Zhao School of Computer Science Northwestern Polytechnical University Xi’an China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin China

Image stitching plays an important role in the field of computer vision and image processing. Although some sophisticated stitching methods have been proposed, they are usually time-consuming. Because many application scenarios, such as video surveillance, need quick image stitching to provide a wide field of view, accelerating the image stitching is critical. In recent years, the neural network is used to stitching images, but only relatively small size images can be processed; meanwhile, time-consuming image stitching is also unavoidable. In this paper, to quickly stitch 1920×1080 images generated by the dual camera system, an image stitching algorithm is proposed. We divided the algorithm depending on its timeliness on different steps, and its time-consuming steps are parallelized on Graphics Processing Unit (GPU) platforms to be accelerated. We tested different hierarchies for organization of threads and access of memory on compute unified device architecture (CUDA) programming, and the final experiment results showed that our algorithm could reach a speedup ratio up to 119x on the Desktop with 3080ti.

关键词： Image registration Neural networks Merging Graphics processing units Organizations Programming Cameras

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A Rapid and Integrated Modeling Method of Aircraft Vulnerability Based on CATIA Analysis Simulation Module 5th

A Rapid and Integrated Modeling Method of Aircraft Vulnerabi...

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5th China Aviation science and technology Conference, 2021

作者： Pei, Yang Shi, Likuan Ge, Yuxue Li, Mingsuo Bai, Chunyu Zhang, Yu School of Aeronautics Northwestern Polytechnical University Xi’an710072 China Science and Technology on Electro-Optic Control Laboratory Luoyang471009 China Aviation Key Laboratory of Science and Technology on Structures Impact Dynamics Aircraft Strength Research Institute of China Xi’an710065 China

ISBN: (纸本)9789811674228

Aircraft vulnerability modeling is the basis and prerequisite for vulnerability analysis. At present, vulnerability modeling methods include combinatorial geometry, triangular patch, and tetragonal patch. However, these methods have disadvantages such as low modeling accuracy, complex modeling process, and finite element software. Under the problems of the above methods, a vulnerability modeling method is proposed based on the CATIA Analysis Simulation module, in which the secondary development of the aircraft shape and the tetragonal mesh, materials, and attribute of the components data file are completed. In this method, the geometrical modeling and meshing are synchronized and integrated into the CATIA platform which shortens the vulnerability pre-modeling process. Taking the US "Scan Eagle" UAV as an example, the input model file for vulnerability analysis is generated. The effect of this method and the traditional finite element modeling method is compared in C and K kill levels, which verifies the validity and usability of the proposed method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Aircraft

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A Slider-Type Trim Strategy to Deal with Wing Perforation Damage Based on CFD 5th

A Slider-Type Trim Strategy to Deal with Wing Perforation Da...

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5th China Aviation science and technology Conference, 2021

作者： Peng, Qiancheng Pei, Yang Li, Mingsuo Bai, Chunyu Zhang, Yu School of Aeronautics Northwestern Polytechnical University Xi’an710072 China Science and Technology on Electro-Optic Control Laboratory Luoyang471009 China Aviation Key Laboratory of Science and Technology on Structures Impact Dynamics Aircraft Strength Research Institute of China Xi’an710065 China

ISBN: (纸本)9789811674228

In this paper, a numerical simulation study is carried out on the aerodynamic characteristics of the aircraft wing surface after damage. The damage form is the wing perforation. To study the aerodynamic characteristics of the UAV under the condition of varying degrees of damage to the wings of the small airplane model, establish the geometric model of the airplane model in the CATIA 3D modeling software, and establish the geometric model in ANSYS ICEM and divide the calculation domain flow field grid. Perform aerodynamic calculations in ANSYS FLUENT. Firstly, the aerodynamic characteristics of the undamaged aircraft are calculated and analyzed, and then the aerodynamic characteristics of each damage situation are compared according to the different damage positions, and a response strategy using the slider as an auxiliary trim method is proposed. The research results have certain reference value for aircraft design of this type of layout. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wings

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Boosting external quantum efficiency of a WSe_(2) photodetector across visible and NIR spectra through harnessing plasmonic hot electrons

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Photonics Research 2024年第9期12卷 1846-1857页

作者： LINLIN SHI ZIYANG ZHAO JINYANG JIAO TING JI WENYAN WANG YANXIA CUI GUOHUI LI College of Electronic Information and Optical Engineering Key Laboratory of Interface Science and Engineering in Advanced Materials of Ministry of EducationKey Laboratory of Advanced Transducers and Intelligent Control System of Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Taiyuan 030032China

The layered two-dimensional material tungsten diselenide(WSe_(2))has triggered tremendous interests in the field of optoelectronic devices due to its exceptional carrier transport ***,the limited absorption of WSe_(2) in the near infrared(NIR)band poses a challenge for the application of WSe_(2) photodetectors in night vision,telecommunication,***,the enhanced performance of the WSe_(2) photodetector is demonstrated through the incorporation of titanium nitride nanoparticles(TiN NPs),complemented by an atomically-thick Al_(2)O_(3) layer that aids in suppressing the dark *** is demonstrated that TiN NPs can dramatically enhance the absorption of light in the proposed WSe_(2) photodetector in the NIR *** enhancement boosts photocurrent responses through the generation of plasmonic hot electrons,leading to external quantum efficiency(EQE)enhancement factors of 379.66%at 850 nm and 178.47%at 1550 *** work presents,for the first time,to our knowledge,that the WSe_(2) photodetector is capable of detecting broadband light spanning from ultraviolet to the telecommunication range,all achieved without the reliance on additional semiconductor *** achievement opens avenues for the advancement of cost-effective NIR photodetectors.

关键词： quantum titanium exceptional

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3D Path Planning for UAV with Improved Double Deep Q-Network

3D Path Planning for UAV with Improved Double Deep Q-Network

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Chinese Intelligent Systems Conference, CISC 2020

作者： Zhao, Liping Ma, Yaofei Zou, Jie Beihang University Beijing100191 China Science and Technology on Electro-optic Control Laboratory Luoyang China

ISBN: (纸本)9789811584572

Unmanned aerial vehicle (UAV) has been widely used in civil and military fields due to its advantages such as zero casualties, low cost and strong maneuverability. Path planning in 3D obstacle environment is one of the fundamental capabilities of UAV for mission performing. In this paper, we propose a 3D path planning algorithm to learn a target-driven end-to-end model based on an improved double deep Q-network (DQN), where a greedy exploration strategy is applied to accelerate learning. The model takes target and obstacle message as input, and moving command of UAV as output. It can realize path planning successfully for UAV in 3D complex environment. Besides, the experimental results show that improved double DQN has better convergence speed compared with DQN and double DQN. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Motion planning

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Large bandwidth and high efficiency silicon nitride grating coupler with bottom reflector 3

Large bandwidth and high efficiency silicon nitride grating ...

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3rd International Conference on Laser, Optics, and Optoelectronic technology, LOPET 2023

作者： Chen, Haihong Zhang, Weilun Chen, Yang Ye, Mengyuan Yu, Yu Wuhan National Laboratory for Optoelectronics School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China

ISBN: (纸本)9781510667624

Grating coupler, one of the essential devices in silicon-based optical integrated chip, is still suffering with low coupling efficiency and small operation bandwidth. In this paper, we design and experimentally demonstrate a silicon nitride (Si3N4) grating coupler with high coupling efficiency and large bandwidth. Instead of using bottom distributed Bragg reflector, metal mirror or other complex designs, a bottom silicon grating reflector based on a 220 nm industrially standard silicon-on-insulator wafer is employed to improve coupling efficiency and simplify the fabrication processes. The interlayer coupler enables the light transmission between Si3N4 and Si waveguides. By optimizing structure parameters and apodizing the Si3N4 grating coupler, a high coupling efficiency of -2.37 dB and large 1-dB bandwidth of 53 nm are obtained. © 2023 SPIE.

关键词： Silicon nitride

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Distance estimation of obstacles in monocular vision based on deep learning 8

Distance estimation of obstacles in monocular vision based o...

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8th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Shan, Liu Ming, Li Long Hui, Wei Dong Beijing Electro-Mechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China China Aerospace Science and Industry Corporation Limited Beijing100048 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

Aiming at the forward-looking distance perception requirements of obstacles such as mountains, forests and trees during the ultra-low-altitude flight of subsonic aircraft, an obstacle distance estimation method based on deep learning is proposed. Firstly, the relationship between adjacent hyper-pixels is modeled by the conditional random fields, the neural network model is trained using the data set, and then the loss function of the pose parameter regression is designed, and the representation of the neural network model is input to the constructed loss function to optimize the weight of the regression model. Simulation experiments show that the proposed method can effectively perceive obstacles within 3km ahead, and the distance estimation error is not more than 20% of the relative distance, which can meet the obstacle avoidance requirements of most sudden obstacles during ultra-low-altitude flight. © 2022 SPIE

关键词： Vision

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Direct laser writing breaking diffraction barrier based on two-focus parallel peripheralphotoinhibition lithography

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Advanced Photonics 2022年第5期4卷 56-63页

作者： Dazhao Zhu Liang Xu Chenliang Ding Zhenyao Yang Yiwei Qiu Chun Cao Hongyang He Jiawei Chen Mengbo Tang Lanxin Zhan Xiaoyi Zhang Qiuyuan Sun Chengpeng Ma Zhen Wei Wenjie Liu Xiang Fu Cuifang Kuang Haifeng Li Xu Liu Zhejiang Lab Research Center for Intelligent Chips and DevicesHangzhouChina Zhejiang University College of Optical Science and EngineeringState Key Laboratory of Modern Optical InstrumentationHangzhouChina Zhejiang University College of Control Science and EngineeringState Key Laboratory of Industrial Control TechnologyHangzhouChina Zhejiang Lab Research Center for Humanoid SensingZhejiang LabHangzhouChina

Direct laser writing(DLW)enables arbitrary three-dimensional ***,the diffraction limit poses a major obstacle for realizing nanometer-scale ***,it is challenging to improve the fabrication efficiency using the currently prevalent single-focal-spot systems,which cannot perform high-throughput *** overcome these challenges,a parallel peripheral-photoinhibition lithography system with a sub-40-nm two-dimensional feature size and a sub-20-nm suspended line width was developed in our study,based on two-photon polymerization *** lithography efficiency of the developed system is twice that of conventional systems for both uniform and complex *** proposed system facilitates the realization of portable DLW with a higher resolution and throughput.

关键词： optical fabrication parallel direct laser writing peripheral-photoinhibition diffraction barrier breaking

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Two atoms in a harmonic trap with spin-orbital-angular-momentum coupling

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Physical Review Research 2024年第3期6卷 033200页

作者： Xiao-Long Chen Aixi Chen Shi-Guo Peng Department of Physics Zhejiang Key Laboratory of Quantum State Control and Optical Field Manipulation State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Innovation Academy for Precision Measurement Science and Technology

We study the problem of two harmonically trapped atoms in the presence of spin-orbital-angular-momentum (SOAM) coupling. The two-body energy spectrum is numerically calculated by utilizing the exact diagonalization method. We analyze how the degeneracy of energy levels is lifted under the interplay between the interatomic interaction and SOAM coupling. The exact numerical results show excellent agreement with that of perturbation theory in the weak-interaction limit as well as that in the absence of SOAM coupling. The properties of correlations between the two atoms are also discussed with respect to the interaction strength. The findings in this paper may provide valuable insights into few-body physics subjected to SOAM coupling and the possible experimental detection of spectrum functions in many-body systems, such as radiofrequency spectroscopy.

关键词： Cold atoms & matter waves Few-body systems Spin-orbit coupling

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Neural-Network-Based Filtering with Encoding Mechanisms: Applications to Multiple Unmanned Aerial Vehicles

Neural-Network-Based Filtering with Encoding Mechanisms: App...

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2023 China Automation Congress, CAC 2023

作者： Zhu, Kaiqun Xu, Xinpeng Cao, Zhiru Sun, Ran Yang, Ya University of Macau State Key Laboratory of Internet of Things for Smart City Macau China Shanghai Electro-Mechanical Engineering Institute Shanghai China School of Mechatronic Engineering and Automation Shanghai University Shanghai China University of Shanghai for Science and Technology Department of Control Science and Engineering Shanghai China

ISBN: (纸本)9798350303759

In this paper, the neural-network-based filtering problem is investigated for multi-sensor systems with dynamic encoding mechanisms. The sensor nodes and the remote filter are connected through bandwidth-constrained communication networks. To alleviate the communication burden, a novel dynamic encoding-based data compression-decompression mechanism is proposed so as to encode the data into a limited number of bits. Then, with the aid of the neural network learning method, a neural-network-based set-membership filter is developed for estimating the system states. Sufficient conditions are obtained to ensure that the filtering error remains within the bounded ellipsoidal set. In addition, the neural network tuning parameters and the filter gains are calculated by solving constrained optimization problems. Finally, the effectiveness of the proposed filtering algorithm is verified through a scenario of maneuvering target tracking using multiple unmanned aerial vehicles. © 2023 IEEE.

关键词： Antennas

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