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2024 Applied Optics and Photonics China: Optical Sensing, Imaging technology, and Applications, AOPC 2024

作者： Kong, Xianghao Hu, Baiyang Wu, Qiong Chen, Zhuoyi Yang, Hua Gao, Kun China Academy of Space Technology Beijing100094 China Key Laboratory of Photoelectronic Imaging Technology and System Ministry of Education of China Beijing Institute of Technology Beijing100081 China China Ordinance Industry Navigation and Control Technology Research Institute Beijing100089 China

ISBN: (数字)9781510687820

ISBN: (纸本)9781510687813

The traditional correlation coefficient matching method can achieve good image matching results for multi-source satellite images under plain terrain conditions. However, satellite images under mountainous and other complex terrain conditions are prone to mismatches. This article proposes a global probability relaxation automatic matching algorithm that takes into account geometric constraints. Based on the correlation coefficient criterion, combined with least squares matching and coarse to fine matching strategies, the algorithm utilizes the global probability relaxation conditions considering geometric constraints to achieve high-precision matching of multi-source images. A DEM automatic extraction algorithm based on this method is designed. The results of the multi-source image matching and the automatic generation of DEM by using this method are analyzed to validate the effectiveness of the algorithm. © 2024 SPIE.

关键词： Image matching

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A New Star Location Method Based on Rectangular Hole Fraunhofer Diffraction

A New Star Location Method Based on Rectangular Hole Fraunho...

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2024 International Conference on Optoelectronic Information and Optical Engineering, OIOE 2024

作者： Chen, Zhuoyi Yang, Jiyuan Wu, Qiong Kong, Xianghao Yang, Hua Gao, Kun China Academy of Space Technology Beijing100094 China Key Laboratory of Photoelectronic Imaging Technology and System Ministry of Education of China Beijing Institute of Technology Beijing100081 China China Ordinance Industry Navigation and Control Technology Research Institute Beijing100089 China

ISBN: (数字)9781510680470

ISBN: (纸本)9781510680463

The traditional star sensor uses the pupil function of the lens to produce circular aperture Fraunhofer diffraction to form the diffuse spot, then enlarges the diffuse diameter by defocusing, and finally uses Gaussian fitting to determine the centroid of the star point. Compared with the traditional star sensor, this paper designs a new star location method based on rectangular hole Fraunhofer diffraction. The method first changes the optical system structure of the star sensor, so that the pupil function produces Fraunhofer diffraction image on the focal plane of the optical lens at infinite distance, and then directly determines the centroid of the star point through Gaussian fitting. Finally, the reliability of this method is verified by simulating random error. The Gaussian fitting algorithm of the new star sensor has higher accuracy, less computation burden and higher accurate reliability. Experiments show that the localization accuracy of this method can reach 0.007 pixels. © 2024 SPIE.

关键词： Location

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Robust Adaptive control Using Nonlinear Quadratic Optimal controllers 63

Robust Adaptive Control Using Nonlinear Quadratic Optimal Co...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Li, Yan Wang, Zhong Liu, Yuxuan Lang, Jinxi Liu, Kai Northwestern Polytechnical University Department of Navigation Guidance and Control Xi'an710072 China University of Science and Technology Beijing School of Intelligence Science and Technology Beijing10083 China Military Research Institute Xi'an China

ISBN: (纸本)9798350316339

Optimal control-based robust controllers have been extensively studied to mitigate the impacts of disturbances. However, a common limitation of existing methodologies is the incorporation of disturbance information, such as upper bounds, directly into the cost function to design the controller. This practice restricts the applicability of such controllers primarily to problems where disturbance bounds are specified and known a priori. Recognizing the limitation, this paper proposes a novel robust optimal adaptive controller for nonlinear uncertain systems which is formulated without requiring knowledge of the bounds of uncertainty. By employing online parameter estimation, the considered design problem is converted into a nonlinear quadratic optimal control problem. Then an indirect Legendre-Gauss pseudospectral method (ILGPM) is developed to enable efficient numerical implementation. Numerical simulations illustrate the effectiveness of the proposed controller. © 2024 IEEE.

关键词： Cost functions

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System Level Calibration Method for Drift of Rotary Accelerometer Gravity Gradiometer 30

System Level Calibration Method for Drift of Rotary Accelero...

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30th Saint Petersburg International Conference on Integrated navigation Systems, ICINS 2023

作者： Da, Li Chengsuo, Li Wei, Gao Zhong, Li Zishan, Zhang Yuan, Yuan Laboratory of Science and Technology on Marine Navigation Control of China State Shipbuilding Corporation Tianjin Navigation Instrument Research Institute Tianjin China Harbin Engineer University College of Intelligent Systems Science and Engineering Harbin China Tianjin Navigation Instrument Research Institute Tianjin China SUN YAT-SEN University School of Geospatial Engineering and Science Zhuhai China Laboratory of Science and Technology on Marine Navigation Control of China State Shipbuilding Corporation Tianjin China

ISBN: (纸本)9785919950950

This paper proposes a system level calibration method for the successive startup error of the signal drift measured by a rotating accelerometer gravity gradiometer. Firstly, based on the measurement principle of a rotating accelerometer gravity gradiometer and the transformation relationship of the gravity gradient tensor matrix between different coordinate systems, a gravity gradient drift calibration equation was established. Secondly, the calibration equation was rewritten in a recursive form, and the optimal estimation of the drift of the gravity gradient instrument was solved through recursive least squares. Based on this, a system level calibration method for gravity gradient drift was proposed by driving the instrument stabilization platform to achieve the rotation of the sensor along the geographical direction. Finally, the effectiveness of instrument system level calibration was verified through comparative experiments conducted on two gravity gradiometers at multiple locations. The experimental results showed that the method proposed in this article can achieve high-precision system level calibration of the drift of gravity gradiometers, with a calibration accuracy better than 1E, and has engineering significance. © 2023 Concern CSRI Elektropribor, JSC.

关键词： Calibration

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Fault diagnosis of Electro-hydrostatic actuators based on CWT and CNN-Transformer 3

Fault diagnosis of Electro-hydrostatic actuators based on CW...

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3rd International Conference on Intelligent Mechanical and Human-Computer Interaction technology, IHCIT 2024

作者： Li, Jiatong Tu, Chaofan Wang, Xingjian Wang, Zhaoyang Xiu, Wanbo School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Laboratory of Science and Technology on Marine Navigation and Control China State Shipbuilding Corporation Tianjin300131 China China Tianjin Navigation Instrument Research Institute Tianjin300131 China

ISBN: (纸本)9781510683105

Electro-hydraulic actuator (EHA) system is a key component of the ship's electro-hydraulic control system, but the internal failure mechanism of EHA is extremely complex, and it is limited by insufficient detection methods in practical systems, making fault diagnosis of EHA a great challenge. To address this issue, this paper proposes a fault diagnosis method based on Continuous Wavelet Transform (CWT), Convolutional Neural Network (CNN) and Transformer. Firstly, the collected one-dimensional time series signal of the sensor is converted into a two-dimensional time-frequency map through CWT. Then, a hybrid module of CNN-Transformer is used to extract local and global fault features, and finally the classification results are output through softmax. Conduct EHA fault simulation experiments to validate the proposed method. The research results indicate that the proposed method has a fault diagnosis accuracy of 96.33%, achieving high-precision diagnosis of EHA faults. © 2024 SPIE.

关键词： Wavelet transforms

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Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance

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IEEE Transactions on Intelligent Transportation Systems 2024年第5期25卷 4552-4564页

作者： Qu, Jingxiang Liu, Ryan Wen Zhao, Chenjie Guo, Yu Xu, Sendren Sheng-Dong Zhu, Fenghua Lv, Yisheng Wuhan University of Technology Hubei Key Laboratory of Inland Shipping Technology School of Navigation Wuhan430063 China State Key Laboratory of Maritime Technology and Safety Wuhan430063 China National Taiwan University of Science and Technology Graduate Institute of Automation and Control and the Advanced Manufacturing Research Center Taipei10617 Taiwan Institute of Automation State Key Laboratory of Multimodal Artificial Intelligence Systems Chinese Academy of Sciences Beijing100190 China

The accurate and efficient vessel draft reading (VDR) is an important component of intelligent maritime surveillance, which could be exploited to assist in judging whether the vessel is normally loaded or overloaded. The computer vision technique with an excellent price-to-performance ratio has become a popular medium to estimate vessel draft depth. However, the traditional estimation methods easily suffer from several limitations, such as sensitivity to low-quality images, high computational cost, etc. In this work, we propose a multi-task learning-enabled computational method (termed MTL-VDR) for generating highly reliable VDR. In particular, our MTL-VDR mainly consists of four components, i.e., draft mark detection, draft scale recognition, vessel/water segmentation, and final draft depth estimation. We first construct a benchmark dataset related to draft mark detection and employ a powerful and efficient convolutional neural network to accurately perform the detection task. The multi-task learning method is then proposed for simultaneous draft scale recognition and vessel/water segmentation. To obtain more robust VDR under complex conditions (e.g., damaged and stained scales, etc.), the accurate draft scales are generated by an automatic correction method, which is presented based on the spatial distribution rules of draft scales. Finally, an adaptive computational method is exploited to yield an accurate and robust draft depth. Extensive experiments have been implemented on the realistic dataset to compare our MTL-VDR with state-of-the-art methods. The results have demonstrated its superior performance in terms of accuracy, robustness, and efficiency. The computational speed exceeds 40 FPS, which satisfies the requirements of real-time maritime surveillance to guarantee vessel traffic safety. © 2000-2011 IEEE.

关键词： Real time systems

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A MADDPG-based multi-agent antagonistic algorithm for sea battlefield confrontation

A MADDPG-based multi-agent antagonistic algorithm for sea ba...

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作者： Chen, Wei Nie, Jing Laboratory of Science and Technology on Marine Navigation and Control China State Shipbuilding Corporation Beijing100036 China Tianjin Navigation Instruments Research Institute Tianjin300131 China College of Mechanical and Electrical Engineering Shihezi University Shihezi832003 China

There is a concerted effort to build intelligent sea and numerous artificial intelligence technologies have been explored. At present, more and more people are engaged in the research of deep reinforcement learning algorithm, and its mainstream application is in the field of games. Reinforcement learning has conquered chess belonging to complete information game, and Texas poker belonging to incomplete information games. And it reached or even surpassed the highest player level of mankind in E-sports games with huge state space and complex action space. However, reinforcement learning algorithm still has great challenges in fields such as automatic driving. The main reason is that the training of reinforcement learning needs to build an environment for interacting with agents. However, it is very difficult to construct realistic simulation scenes, and there is no guarantee that we will not encounter the state that the agent has not seen. Therefore, it is necessary to explore the simulation scene first. Based on this, this paper mainly studies reinforcement learning in simulation scenario. There are huge challenges in migrating them to real scenario applications, especially in sea missions. Aiming at the heterogeneous multi-agent game confrontation scenario, this paper proposes a sea battlefield game confrontation decision algorithm based on multi-agent deep deterministic policy gradient. The algorithm combines long short-term memory and actor-critic, which not only realizes the convergence of the algorithm in huge state space and action space, but also solves the problem of sparse real rewards. At the same time, imitation learning is integrated into the decision algorithm, which not only improves the convergence speed of the algorithm, but also greatly improves the effectiveness of the algorithm. The results show that the algorithm can deal with a variety of different tactical sea battlefield scenarios, make flexible decisions according to the changes of the enemy,

关键词： Reinforcement learning

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research on disruptive design pre-identification in the preliminary design phase of aero engine flow pass multidisciplinary optimization

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Chinese Journal of Aeronautics 2022年第11期35卷 264-276页

作者： Shaojing DONG Yufan FANG Wentong HU Xiuli SHEN Gaoxiang CHEN School of Energyand Power Engineering Beihang UniversityBeijing 10083China Beijing Key Laboratory of Aero-Engine Structure and Strength Beihang UniversityBejing 100083China Jiangxi Research Institute Beihang UniversityNanchang 330096China Navigation and Control Technology Research Institute of China Ordnance Industries Beijing 100089China Research Institute of Aero-engine Beihang UniversityBeijing 100083China

In aero engine design, determining whether the preliminary design will have disruptive effects on the detailed design is the key to multidisciplinary design optimization in the preliminary design stage. In order to adapt to the non-orthogonal parameter value range caused by the selfconstrained parametric modeling method, a non-orthogonal space mapping method that maps the optimal Latin hypercube sampling points of the traditional orthogonal design space to the non-orthogonal design space is proposed. Based on the logical regression method in machine learning field, a kind of feasible domain boundary identification method is employed to identify whether the sample spatial response meets the relevant criteria. The method proposed in this paper is used to identify and analyze the key technologies of the high-pressure turbine mortise joint structure. It is found that the preliminary design of the aero engine may lead to the failure to obtain a mortise joint structure meeting the design requirements in the detailed design stage. The mortise joint structure needs to be pre-optimized in the preliminary design stage.

关键词： Aero engine Disruptive design Flow pass multidisciplinary optimization Pre-identification Preliminary design phase

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Style Transfer Based on Discrete Space Modeling

Style Transfer Based on Discrete Space Modeling

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Information technology,Big Data and Artificial Intelligence (ICIBA), International Conference on IEEE International Conference on

作者： Zhiguo Huang Wei Chen Ziyu Huang Xu Han Jie Yan Tianjin Navigation Instruments Research Institute China Laboratory of Science and Technology on Marine Navigation and Control China State Shipbuilding Corporation Tianjin China

ISBN: (数字)9798350363609

ISBN: (纸本)9798350363616

This paper is dedicated to exploring headline style transfer techniques, with the core objective of enhancing the appeal of headlines while preserving their semantics. A significant challenge is the lack of parallel training datasets. To address this issue, we propose an unsupervised headline style transfer model called the Discrete Headline Generation (DHG) model. This model decomposes the process of generating text with specific styles into two key steps: content feature extraction and style modeling. Two text encoders separately extract the content information and style information from the input text, while a text decoder integrates the knowledge from both encoders to generate content with a specific *** that style signals are more abstract compared to textual content, we propose constructing the style representation space as a discrete space, where each discrete point corresponds to a specific style category. Experimental results demonstrate that the DHG model exhibits state-of-the-art performance in comprehensive evaluations.

关键词： Training Semantics Big Data Feature extraction Data models Decoding Data mining Information technology Artificial intelligence

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AN ADAPTIVE PAGE LEVEL ECC STRATEGY FOR MLC NAND FLASH BASED ON ERROR PREDICTION MODEL 9

AN ADAPTIVE PAGE LEVEL ECC STRATEGY FOR MLC NAND FLASH BASED...

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9th International Symposium on Test Automation and Instrumentation, ISTAI 2022

作者： Wei, Debao Song, Yu Li, Lin Han, Bingtong School of Electronics and Information Engineering Harbin Institute of Technology Harbin China Navigation and Control Technology Research Institute of Norinco Group Beijing China Beijing Institute of Radio Measurement Beijing China

ISBN: (纸本)9781839538391

The traditional method of high ability of ECC used when NAND flash in low P/E cycles state would cause the waste of computing process and storage space. To deal with this problem, the research in this paper aims at ECC integrated operation cost. This point based on the following two main theories: (1) the increasing trend of average BER with the retention time and the P/E cycles can be easily modelled;(2) the reliability of different pages in the block varies, and only a small part of the whole pages is poor. The main idea is: traditional FTL management algorithm completed wear equilibrium, but it ignored the reliability difference between different pages. For different pages with different erasure conditions, we choose adaptation strategies of ECC for each page, in that way, we can avoid waste of computing and redundant area consumption of OOB (out of band) caused by high error correcting ability of ECC. The experimental results show that the adaptive page level ECC strategy not only meet the requirements of the reliability, but also raise the efficiency of ECC encoding/decoding. The access time of ECC data of was reduced by 38.1%, and the area consumption of OOB decreased by 56.7%. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Reliability

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