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

作者： Bo Pang Tao Zhou Dahai Dai Hao Wu Shiqi Xing Xuesong Wang State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha China College of Electronic Science National University of Defense Technology Changsha China

ISBN: (数字)9781728123455

ISBN: (纸本)9781728123462

In this paper, a novel polarization monopulse forward-looking imaging algorithm is proposed, the core idea is solving the maximum likelihood estimation (MLE) problem by bayesian adaptive direct search (BADS) optimization. The simulation results show that unresolved targets can be resolved and relocated accurately in the real beam imaging result and the imaging performance is greatly improved. The comparison with gradient descent also validates its superiority in terms of accuracy and robustness of direction of arrival (DOA) and polarization parameters estimation. Meanwhile, the proposed algorithm can accurately identify three targets within a beam, including a dihedral and two trihedral targets.

关键词： forward-looking imaging polarization estimation monopulse maximum likelihood estimation bayesian adaptive direct search (BADS)

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A Novel Sparse Deconvolution Algorithm Based on Iterative Regularization

A Novel Sparse Deconvolution Algorithm Based on Iterative Re...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： Bo Pang Shiqi Xing Dahai Dai Yongzhen Li Xuesong Wang State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha China College of Electronic Science National University of Defense Technology Changsha China

ISBN: (数字)9781728134031

ISBN: (纸本)9781728134048

As having the imaging ability of the sector in front of the flight direction, forward-looking SAR has filled the visualization gap of conventional SAR. However, due to changes in imaging geometry, the azimuth resolution of forward-looking SAR is constrained by the limited azimuth aperture. Aiming at this problem a novel sparse deconvolution algorithm based on iterative regularization is proposed in this paper. By separating imaging process into range compression based on matched filter and azimuth deconvolution based on compressive sensing, the computational burden is much reduced and azimuth resolution is greatly improved. Experimental results based on simulated and real data demonstrate the effectiveness of the proposed algorithm.

关键词： Radar imaging Azimuth Imaging Image resolution Radar antennas Synthetic aperture radar

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A Novel Parameter Estimation Method for MIMO-SAR Signal

A Novel Parameter Estimation Method for MIMO-SAR Signal

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Progress in Electromagnetic Research Symposium (PIERS)

作者： Dongwei Lu Shiqi Xing Bo Pang Dahai Dai Xuesong Wang State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha China College of Electronic Science National University of Defense Technology Changsha China

ISBN: (数字)9781728134031

ISBN: (纸本)9781728134048

As having the ability of transmitting and receiving electromagnetic signals with different polarizations from distinct view angles, MIMO-SAR could provide high-resolution images in a complex electromagnetic environment and allows overcoming the limitations of conventional SAR system. As a result, the confrontation of MIMO-SAR signal has become a hot research topic recently. In this paper, a novel MIMO-SAR signal parameter estimation method is presented. By utilizing autocorrelation spectrum of signal, the proposed method could accurately estimate parameters of MIMO-SAR signal even if the SNR is low. Numerical simulations exhibit robustness and effectiveness of our methods for wide band signal.

关键词： Estimation Parameter estimation Frequency-domain analysis Chirp Mathematical model Springs Correlation

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A GMTI algorithm based on novel channel equalization method for multi-channel imaging radar

A GMTI algorithm based on novel channel equalization method ...

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IET International Radar Conference (IET IRC 2020)

作者： B. Pang S. Xing D. Dai Y. Li X. Wang National University of Defense Technology State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System Changsha China National University of Defense Technology College of Electronic Science Changsha China

For multi-channel SAR-GMTI system, the consistency between the channels is the indispensable condition for location and velocity measurement of ground moving targets. Therefore, particular attention should be paid to the study of channel equalization. However, traditional channel equalization methods often have the problems of low operating efficiency, large computational burden and poor adaptability, making them less effective. Aiming at this problem, the signal model for multi-channel SAR-GMTI processing is established. Based on this, a novel channel equalization method is proposed in this paper. The experimental results based on the measured data of airborne 7-channel SAR-GMTI system show that the proposed method can effectively eliminate the amplitude and phase error between channels without the need for iterative operation, thus improves the calculation efficiency and GMTI processing effect simultaneously.

关键词： radar imaging synthetic aperture radar equalisers iterative methods

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Evolutionary Interest Representation Network for Click-Through Rate Prediction

Evolutionary Interest Representation Network for Click-Throu...

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IEEE International Conference on Web Services (ICWS)

作者： Renjie Zhou Zhenming Jin Jian Wan Jilin Zhang Xingyu Guo Qiang Liu Key Laboratory of Complex Systems Modeling and Simulation of the Ministry of Education School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Key Laboratory of Complex Systems Modeling and Simulation of the Ministry of Education ITMO Joint Institute Hangzhou Dianzi University Hangzhou China School of Information and Electronic Engineering Zhejiang University of Science and Technology Hangzhou China Dept. of Computer and Information Technology Zhejiang Police College Hangzhou China

The rapid development of the Internet has revo-lutionized our lives, providing us with an array of convenient services. However, this revolution has also led to the problem of data overload. Personalized recommendation services have been widely recognized as an effective solution to this problem by both the industrial and academic communities. Accurate prediction of click-through rate (CTR) is a critical task in personalized recommendation systems since it can improve the user’s shopping experience, ultimately increasing revenue for the platform. To achieve accurate CTR prediction, it is crucial to capture user interests. While several methods for interest modeling exist, challenges related to user interest evolution and user behavior noise need further attention. This paper proposes a novel CTR prediction model named the Evolutionary Interest Representation Network (EIRN), which learns the evolving interest representation of users from their behaviors, profiles, and environmental attributes. In the model, we introduce an advertisement correlation graph decomposition layer and a noise filter layer to enhance and purify the user behavior representation. An interest extraction layer is designed to capture sequential correlations and common characteristics between user behaviors, representing their interests. Additionally, as user interests evolve over time and their importance changes, an attention-based interest evolution layer is designed to track the evolution of user interests. Our proposed method is validated using four public datasets and an industrial dataset, showing its superiority over existing CTR prediction methods.

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Model Based Management and Control of Training simulation Environment

Model Based Management and Control of Training Simulation En...

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Chinese Automation Congress

作者： Rongqing Meng Xingke Liu Zhichao Song Xiaogang Qiu College of Information System and Management National University of Defense Technology Science and Technology on Complex Aviation System Simulation Laboratory

ISBN: (纸本)9781467371902

Training simulation is broadly used in military training but not limited. The simulation environment contains so many elements and so many factors affect the result, so an effective and efficient mechanism to help to manage these factors is required. This article firstly listes the elements in the environment, and then builds the object models of all kinds of objects. Based on these object models, the experiment frame is designed. Finally, a simple case study is given. According to the actual application, these models and frame facilitate the experiment management and help the analysts to analyze the simulation result.

关键词： Training simulation Model Based Management and Control of simulation

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Mitigating Over-Trust in Chat Companion Robot Interaction Using Augmented Reality 4

Mitigating Over-Trust in Chat Companion Robot Interaction Us...

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4th International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2023

作者： Wang, Guobao Zhao, Changshun Liu, Ying He, Di Wang, Yuqing Zhang, Kaiyue Yanshan University Hebei Qinhuangdao China Jiangsu Xuzhou Construction Machinery Group Co. Ltd. Jiangsu Xuzhou221004 China Officers College of Pap Sichuan Chengdu China National Key Laboratory for Complex Systems Simulation Beijing China University of Electronic Science and Technology of China Sichuan Chengdu China Jiangsu Province Tongshan Secondary Vocational School Jiangsu Tongshan China

ISBN: (纸本)9798400708831

This study aims to explore the effects of different human-machine interfaces, system performance, and robot interaction modalities on over-trust in chat companion robot systems. We designed and implemented three types of interfaces: 2D Virtual Interface + Virtual Robot, 3D Augmented Reality Interface + AR-based Virtual Robot, and 3D Real World + NAO Physical Robot. We also manipulated the system performance (high or low) and the robot interaction modality (language, gesture, or both). We conducted a user study with 30 participants, who interacted with the chat companion robot under different conditions and rated their trust, distrust, and human-robot distance. We also measured the user experience in terms of usefulness and ease of use. The results showed that the type of interface significantly influenced the trust, distrust, and human-robot distance of the users, and that the 3D augmented reality interface was the most effective in enhancing trust and reducing distrust and distance. The performance of the system also affected the trust and distance of the users, and the gesture interface was the most sensitive to the performance variation. The modality of the interaction did not have a significant impact on the dependent variables. The user experience ratings also indicated that the 3D augmented reality interface was the most useful and easy to use. The implications and limitations of these findings are discussed in the paper. © 2023 ACM.

关键词： Augmented reality

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Electrical and mechanical performance of graphene sheets exposed to oxidative environments

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Nano Research 2013年第7期6卷 485-495页

作者： Mario Lanza Yan Wang Teng Gao Albin Bayerl Marc Porti Montserrat Nafria Yangbo Zhou Guangyin Jing Yanfeng Zhang Zhongfan Liu Dapeng Yu Huiling Duan State Key Laboratory for Turbulence and Complex System Department of Mechanics and Aerospace Engineering CAPT College of Engineering Peking University Beijing 100871 China Beijing Aeronautical Science and Technology Research Institute Beijing 10221 I China Center for Nanochemistry (CNC) Beijing National Laboratory for Molecular Sciences State Key Laboratory for Structural Chemistry of Unstable and Stable Species College of Chemistry and Molecular Engineering Academy for Advanced Interdisciplinary Studies Peking University Beijing 100871 China Electronic Engineering Department Universitat Autonoma de Barcelona Cerdanyola del Valles 08193 Spain Department of Physics State Key Laboratory for Mesoscopic Physics Peking University Beijing 100871 China Physics Department Northwest University Xi'an 710069 China

Graphene coatings have been shown to protect the underlying material from oxidation when exposed to different media. However, the passivating properties of graphene in air at room temperature, which corresponds to the operating conditions of many electronic devices, still remain undear. In this work, we analyze the oxidation kinetics of graphene/Cu samples in air at room temperature for long periods of time （from I day to 113 days） using scanning electron microscopy, conductive atomic force microscopy and Auger electron microscop3~ and we compare the results with those obtained for similar samples treated in H202. We observe that unlike the graphene sheets exposed to H202, in which the accumulation of oxygen at the graphene domain boundaries evolves in a very controlled and progressive way, the local oxidation of graphene in air happens in a disordered manner. In both cases the oxide hillocks formed at the graphene domain boundaries can propagate to the domains until reaching a limiting width and height. Our results demonstrate that the local oxidation of the underlying material along the domain boundaries can dramatically decrease the roughness, conductivity, mechanical resistance and frictional characteristics of the graphene sheet, which reduces the performance of the whole device.

关键词： graphene local oxidation domain boundary passivating layer

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Notice of Retraction: Crank block steering mechanism optimization for forklift truck based on PSO

Notice of Retraction: Crank block steering mechanism optimiz...

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International Conference on Computer Engineering and technology, ICCET

作者： Chaoli Sun Jianchao Zeng Jengshyang Pan Yuanfang Tao Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan Shanxi China Department of Electronic Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan Mechanical & Electronic Engineering College Taiyuan University of Science and Technology Taiyuan Shanxi China

This article has been retracted by the publisher.

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Measure and Predict the Receiver's Electromagnetic Susceptibility Fast

Measure and Predict the Receiver's Electromagnetic Susceptib...

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IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)

作者： Yan Chen Zhonghao Lu Bing Xie State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science National University of Defense Technology Changsha China State Key Laboratory of Astronautic Dynamics Xi'an China

Evaluating and predicting rapidly and accurately a high sensitivity receiver's adaptability in complex electromagnetic environments is a tough job. To solve this problem, a novel testing and prediction method based on dual-channel multi-frequency is proposed to improve the traditional two-tone test. An experiment performed on a radar receiver confirms the reliability of the method proposed in this paper. It shows that the interference of each harmonic frequency and each order to the receiver can be identified and predicted with the sensitivity model. Based on this, fast and comprehensive evaluation and prediction of the receiver's electromagnetic susceptibility in complex environment can be efficiently realized.

关键词： Sensitivity Receivers Interference Radar Predictive models Harmonic analysis Velocity measurement

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