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31st General Assembly and Scientific Symposium of the International Union of Radio science, URSI GASS 2014

作者： Xin, Liu Biyi, Wang Wanli, Zhao Shanghong, Guan Xiusheng, Yan Science and Technology on Electro-Optical Information Security Control Laboratory Sanhe Hebei China

ISBN: (纸本)9781467352253

This paper details the radiation of laser induced air plasma. The plasma was produced by interacting the air with the Nd: YGA laser focused with optical lens. The relationship between spectrum of laser - induced air plasma at 1064nm and the laser power density was investigated, the time and space properties of the signal were studied, which provides a clear physical picture of laser induced air plasma. Results showed that the laser - induced air plasma has strong and directional radiation at 1064nm. © 2014 IEEE.

关键词： Laser produced plasmas

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Design and implementation of the laser range-gating imaging synchronization control system

Design and implementation of the laser range-gating imaging ...

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International Conference on electronics and Optoelectronics

作者： Xu, Shiwei Zhang, Shengchong Tang, Shuwei Science and Technology Electro-Optical Information Security Control Laboratory Sanhe HeBei China

ISBN: (纸本)9781612842738

Described a laser range-gating imaging principle, pointed out the key issues in system design, design and implementation of FPGA-based laser range-gating images systems. System uses the rangefinder, adjustable pulsed laser active Illuminating and ICCD technology combined. Pulse characteristics of laser light source, single pulse energy and the strobe imaging device performance will determine the range-gating imaging of the range resolution, detection range properties. FPGA implementation of the synchronization control process to explore in detail the role. Experiment to verify the theoretical analysis of the accuracy and efficiency of the technology of gated confirmed laser range-gating laser technology is to overcome the backscattering enhance-gated imaging system signal to noise ratio of the effective method. © 2011 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Dim and small targets based on the fusion of infrared radiation characteristics and spectral characteristics research on detection methods 8

Dim and small targets based on the fusion of infrared radiat...

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8th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Dong, Liu Yang, Yining Liu, Tongyu Yong, Zhang Hu, Yutong Shuai, Jia Ma, Baoqiang Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin300308 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

The geometric and motion characteristics of false targets are more similar to those of real targets. The detection accuracy of traditional infrared radiation characteristics methods for infrared targets is obviously low. For small infrared weak targets with small size and low signal-to-noise ratio, it is difficult to effectively extract shape features by using a single band detection method. Therefore, this paper makes full use of the advantages of infrared single band image and multispectral image target detection methods, and combines single band detection technology and multispectral detection technology, which not only avoids the defect of single band detection missing alarm, but also reduces the impact of large amount of multispectral detection data, and has real-time performance and good detection effect. The hybrid detection algorithm proposed in this paper has stronger adaptability, higher recognition rate and faster processing ability. © 2022 SPIE

关键词： Infrared radiation

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Multiphoton absorption and damage threshold of Yb3+ and Tm 3+ doped SiO2 fiber core

Multiphoton absorption and damage threshold of Yb3+ and Tm 3...

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2011 Academic International Symposium on Optoelectronics and Microelectronics technology, AISOMT 2011

作者： Yunju, Zhang Zhongkai, Wang Yanan, Chen Youyi, Zhao National Key Laboratory of Tunable Laser Technology Harbin Institute of Technology Harbin China Science and Technology on Electr-optical Information Security Control Laboratory Liang Fang China

ISBN: (纸本)9781457707964

Using the Yb3+ and Tm3+ doped SiO2 fiber rods as the samples and ultrafast 800 nm femtosecond (fs) laser sources, the multiphoton absorption characteristics and damage threshold are experimental investigated based on the open Z-scan and nonlinear transmission measurement technology. The five-photon absorption coefficient of the Yb3+ doped fiber core has nearly tenfold increment than that of the fiber clad. But the five-photon absorption coefficient of the Tm3+-dopd fiber core is less than 5% of the fiber clad. With the incident fs laser power increasing, the five-photon absorption coefficient of three different samples is decreased. Further analyzing the open Z-scan results, the multiphoton absorption should contain the six-photon absorption process. Using the nonlinear transmission measurement technology, the damage thresholds are measured, and they are 12.1 TW/ cm2 (the Yb3+-doped fiber core) and 16.4 TW/cm 2 (fiber clad). © 2011 IEEE.

关键词： Photons

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Variable frequency speed-regulation system of elevator using PLC technology

Variable frequency speed-regulation system of elevator using...

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3rd IEEE International Conference on Advanced Computer control, ICACC 2011

作者： Jiang, Jing Zhang, Xuesong Beijing China Science and Technology on Electro-optical Information Security Control Laboratory Hebei China

ISBN: (纸本)9781424488087

In this paper, the system of variable frequency speed-regulation based on PLC was proposed. Firstly, the overall structure of control system was determined. Inverter and programmable logic controller were chosen to complete variable frequency speed-regulation. Secondly, parameters of inverter were set by develop system hardware. PLC drive selection and I/0 points distribution were completed;rotary encoder was connected with PLC interface. Finally, the software flow charts and ladder programs were designed by analysis of elevator system on the basis of software design methods. © 2011 IEEE.

关键词： control systems

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Design Compact YOLO based Network for Small Target Detection on Infrared Image

Design Compact YOLO based Network for Small Target Detection...

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2022 Chinese Automation Congress, CAC 2022

作者： Liu, Shuang Liu, Zhicheng Li, Yuhai Liu, Wancheng Ge, Chenyang Liu, Longjun Xi'an China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin China

ISBN: (纸本)9781665465335

most YOLO object detection neural networks prefer to focus on traditional RGB image, but previous studies rarely consider special YOLO network with compact architecture for infrared image. In this paper, we analyze original YOLO network architecture, and we propose a compact YOLO based network by using different blocks from previous work for small target detection on infrared image. We use small target detection layer, GhostConv convolution, Focus structure, Focal EIOU Loss and soft NMS modules to improve original YOLO network structure, which improves the accuracy and speed of target detection for infrared image. The experimental results show that the accuracy of target detection of original model can be effectively improved by adding the small target detection layer, the Focus structure and the BI-FPN structure. By replacing the GhostConv convolution, the calculation speed is significantly improved. At last, after the model is quantized and deployed with NCNN framework, the object detection speed can reached to 35ms per infrared image. © 2022 IEEE.

关键词： Object detection

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Design an Efficient DNN Inference Framework with PS-PL Synergies in FPGA for Edge Computing

Design an Efficient DNN Inference Framework with PS-PL Syner...

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2022 Chinese Automation Congress, CAC 2022

作者： Liu, Wancheng Li, Yuhai Yang, Yining Zhu, Jinyu Liu, Longjun Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin China Xi'an China

ISBN: (纸本)9781665465335

in recent years, Deep Neural Network (DNN) based methods have achieved great success for changing inflexible machine to intelligent and live system. Internet of Things (IoT) applications equipped with DNN in domains such as self-driving, speech processing and video surveillance particular challenges. Since DNNs are memory-/computing- intensive applications, FPGAs are customized to accelerate DNN on edge system due to their low latency and high energy efficiency. However, embedded CPU is usually essential for IoT system and single accelerator of FPGA is hard to gain maximized performance of the whole IoT system. Therefore, we design an efficient DNN inference framework with programming system (PS, e.g., ARM CPU) and programming logic (PL, e.g. FPGA) synergies for intelligent IoT system. Compared with the common IoT system only separately leverages FPGA for DNN accelerating and ARM for other tasks, our framework can make ARM and FPGA jointly accelerate DNN inference from the beginning. Our PS-PL co-design approach can take full advantage of the merits of ARM (control operations) and FPGA (parallel computing operations) for various DNN model accelerating. We implemented our co-design framework on Zynq SoCs. The experimental results show that our framework can achieve maximal 205.9 GOPs/s DNN inference accelerating under 6.2W while it would not affect other CPU tasks running on IoT system. © 2022 IEEE.

关键词： Internet of things

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Simulation research on holographic modal wavefront sensing of atmospheric propagating laser 8

Simulation research on holographic modal wavefront sensing o...

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8th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Li, Yuqing Cheng, Jingxin Yang, Haibo Ma, Wenchao Gu, Jianda Liu, Tongyu Science and Technology on Electro-Optical Information Security Control National Key Laboratory Tianjin300308 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

The disturbance of atmospheric turbulence during laser transmission is a major problem in the field of high-energy laser transmission and communication. Fast and real time wavefront sensing is one of the key technologies in adaptive optical systems. For laser emission or communication systems with relatively smaller optical apertures and transmission distances, atmospheric aberration is mainly composed of low-order Zernike modes with weak intensity. Traditional Hartmann wavefront sensor works by regional segmentation and reconstruction of the wavefront plane, which need complicated matrix calculation, inducing considerable time delay. Its application in laser wavefront sensing can be technically sophisticated and redundant. Holographic modal wavefront sensing technology takes advantage of parallel modal detection method to obtain the intensity of specific modes of aberrations carried by the laser directly. With benefits of higher speed, smaller time delay, and compact system structure, it may be more suitable for atmospheric laser wavefront sensing. Here, we carried out simulation research on holographic modal wavefront sensor and its application in atmospheric laser wavefront sensing, the measuring accuracy and validation frontier of this technology are analyzed. The result provided informative support on high speed laser aberration sensing and correction. © 2022 SPIE

关键词： Atmospheric turbulence

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Model-based deep learning for fiber bundle infrared image restoration

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Defence technology（防务技术） 2023年第9期27卷 38-45页

作者： Bo-wen Wang Le Li Hai-bo Yang Jia-xin Chen Yu-hai Li Qian Chen Chao Zuo Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense Nanjing University of Science and TechnologyNanjingJiangsu Province210094China Smart Computational Imaging(SCI)Laboratory Nanjing University of Science and TechnologyNanjingJiangsu Province210094China Science and Technology on Electro-Optical Information Security Control Lab Tianjin300308China

As the representative of flexibility in optical imaging media,in recent years,fiber bundles have emerged as a promising architecture in the development of compact visual *** to tackling the problems of universal honeycomb artifacts and low signal-to-noise ratio(SNR)imaging in fiber bundles,the iterative super-resolution reconstruction network based on a physical model is *** the constraint of solving the two subproblems of data fidelity and prior regularization term alternately,the network can efficiently“regenerate”the lost spatial resolution with deep *** building and calibrating a dual-path imaging system,the real-world dataset where paired low-resolution(LR)-high-resolution(HR)images on the same scene can be generated *** results on both the United States Air Force(USAF)resolution target and complex target objects demonstrate that the algorithm can restore high-contrast images without pixilated *** the basis of super-resolution reconstruction,compound eye image composition based on fiber bundle is also embedded in this paper for the actual imaging *** proposed work is the first to apply a physical model-based deep learning network to fiber bundle imaging in the infrared band,effectively promoting the engineering application of thermal radiation detection.

关键词： Fiber bundle Deep learning Infrared imaging Image restoration

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Research on development method of an artificial intelligent decision-making system 8

Research on development method of an artificial intelligent ...

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8th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Chen, Hai-Xia Zhang, Zi-Hao Kong, Xiao-Ling Sun, Yu-Xin Science and Technology on Electro-Optical Information Security Control Laboratory Airport Economic Zone Tianjin300308 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

An artificial intelligent decision-making system based on Deep Q Network is developed according to the characteristic of the optoelectronic countermeasures for defense. In view of the high complexity of the input state variables of the system, simulation method is used to sift the state variables so as to reduce the input dimension of the network. In addition, simulation method is used to generate enough samples for the network training. Aiming at the adaptability evaluation of the system, evolutionary evaluation index is designed and simulation method is used to evaluate the adaptability of online learning ability of the system. © 2022 SPIE

关键词： Decision making

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