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IEEE International Conference on Computational Electromagnetics (ICCEM)

作者： Ruicheng Gao Shuai Wen Yongyan Mao Lige Bi School of Electronic Engineering Xidian University Xian China Science and Technology on Electromechanical Dynamic Control Laboratory China Electronic Engineering Research Institute Xian China

ISBN: (数字)9798350383317

ISBN: (纸本)9798350383324

A novel broadband bandpass Frequency Selective Surface (FSS) is designed with the intention of surpassing the performance of previous designs. Through the utilization of cascading multilayers of capacitive patches and inductive grids, this design achieves our goal of wide bandwidth as well as high selectivity, while maintaining an acceptable thickness. The stimulated results exhibit a broad passband width, ranging from 12.5 GHz to 18.2 GHz, as well as steep out-of-band attenuation with a transitional zone of less than 1 GHz.

关键词： Frequency selective surfaces Sensitivity Noise Bandwidth Interference Nonhomogeneous media Broadband communication

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Semi-LLIE: Semi-supervised Contrastive Learning with Mamba-based Low-light Image Enhancement

arXiv

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arXiv 2024年

作者： Li, Guanlin Zhang, Ke Wang, Ting Li, Ming Zhao, Bin Li, Xuelong Northwestern Polytechnical University Xi’an710072 China Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an China The School of Astronautics Northwestern Polytechnical University Xi’an China Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an China Northwestern Polytechnical University Xi’an710072 China The Key Laboratory of Intelligent Interaction and Applications Northwestern Polytechnical University Ministry of Industry and Information Technology Xi’an710072 China

Despite the impressive advancements made in recent low-light image enhancement techniques, the scarcity of paired data has emerged as a significant obstacle to further advancements. This work proposes a mean-teacher-based semi-supervised low-light enhancement (Semi-LLIE) framework that integrates the unpaired data into model training. The mean-teacher technique is a prominent semi-supervised learning method, successfully adopted for addressing high-level and low-level vision tasks. However, two primary issues hinder the naive mean-teacher method from attaining optimal performance in low-light image enhancement. Firstly, pixel-wise consistency loss is insufficient for transferring realistic illumination distribution from the teacher to the student model, which results in color cast in the enhanced images. Secondly, cutting-edge image enhancement approaches fail to effectively cooperate with the mean-teacher framework to restore detailed information in dark areas due to their tendency to overlook modeling structured information within local regions. To mitigate the above issues, we first introduce a semantic-aware contrastive loss to faithfully transfer the illumination distribution, contributing to enhancing images with natural colors. Then, we design a Mamba-based low-light image enhancement backbone to effectively enhance Mamba’s local region pixel relationship representation ability with a multi-scale feature learning scheme, facilitating the generation of images with rich textural details. Further, we propose novel perceptive loss based on the large-scale vision-language Recognize Anything Model (RAM) to help generate enhanced images with richer textual details. The experimental results indicate that our Semi-LLIE surpasses existing methods in both quantitative and qualitative metrics. The code and models are available at https://***/guanguanboy/Semi-LLIE. © 2024, CC BY.

关键词： Contrastive Learning

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Numerical simulation of the forming characteristics of the circumferential MEFP with integrated shell and liner 5

Numerical simulation of the forming characteristics of the c...

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2021 5th International Conference on Fluid Mechanics and Industrial Applications, FMIA 2021

作者： Ma, Guangsong He, Guanglin Zhang, Yulong Qiao, Zenghui Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing China PLA Strategic Support Force Beijing10081 China

To study the forming characteristics of the multiple explosively formed projectile (MEFP) warhead of the small-caliber grenade with the integrated design of the liner and shell, the liner thickness is less than the shell thickness as the research object, and LS-DYNA is used for numerical simulation. On this basis, the influence of the curvature radius and the center thickness of the liner on the forming results of the projectile is further studied, and the integrated design of the MEFP forming result and the separate design were compared and analyzed. The simulation results show that, when the liner thickness structure is smaller than the shell thickness, the projectile shape is better. The shape of MEFP with the integral design is better than the separate design, and the forming velocity of the integral design is slightly lower than the separate design with the curvature radius increase of the outer and inner wall. When the liner curvature radius is fixed, the shape of MEFP with the integral design is better than the separate design, and the forming velocity of MEFP with the integral design is slightly less than the separate design with the liner center thickness increase. The results show that the forming characteristics of circumferential MEFP of integrated design and separate design have a certain similarity. The shape of MEFP with the integrated design is better than that with separate design, however, the forming velocity of MEFP with the integrated design is slightly lower than that with separate design. © Published under licence by IOP Publishing Ltd.

关键词： Projectiles

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Time-series Data Modeling Guided by Visual Information

Time-series Data Modeling Guided by Visual Information

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International Conference on Information, Communication and Networks (ICICN)

作者： Ke Zhang Junzheng Wang Xiang Zhang Yu Shi Ting Wang School of Automation Beijing Institute of Technology Beijing China Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an Institute of Electron-mechanical Information Technology Xi’an China

Time-series data typically contain issues such as missing data and noise, which can impact the model's precision and stability. This paper proposes a Transformer structure-based visual information-guided temporal data modeling algorithm to address the issues as mentioned above. The algorithm effectively captures the time-series structure of the time-series data, thereby enhancing the model's precision and stability. To evaluate the performance of the proposed algorithm, a dataset containing visual information aligned with time-series data is compiled, and a comprehensive quantitative and qualitative analysis is performed. Conduct a comprehensive quantitative and qualitative analysis. The results indicate that visual information can assist time-series data in capturing the intricate dynamics of the time-series data, thereby enhancing the performance of the proposed algorithm and facilitating its comprehension. The results indicate that visual information can assist time-series data in capturing the complex dynamics of time-series data, and thus in comprehending and predicting their behavior and trends. The application of this algorithm will advance research in the field of modeling and predicting time series data. Applying this algorithm will advance research and practice in modeling and forecasting time series data.

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Dual-Band Substrate Integrated Waveguide Cavity-Backed Antenna Based on LTCC in D-Band

Dual-Band Substrate Integrated Waveguide Cavity-Backed Anten...

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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Wang, Dongxu Xu, Kai-Da Xi'an Jiaotong University School of Information and Communications Engineering Xi'an China Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an China Shaanxi Key Laboratory of Artificially-Structured Functional Materials and Devices Xi'an China

ISBN: (纸本)9781665452366

In this paper, a D-band dual-band substrate integrated waveguide (SIW) cavity-backed antenna based on low temperature co-fired ceramic (LTCC) fed by standard Flange of WR-6.5 rectangular waveguide (RWG) has been proposed. The dual-band cavity-backed antenna operates at its two high-order radiation modes through the four radiating slots etched on the top of its surface coupled by an hourglass-shaped inductive window. In addition, the design of SIW-RWG vertical transition is in order to transmit the power from the waveguide to the SIW cavity-backed antenna efficiently. The 10-dB impedance bandwidths of the proposed antenna are over 3% at both radiation frequencies of 146.6 and 167.2 GHz, while the maximum realized gains are 8.73 and 9.29 dBi, respectively. According to the LTCC process, the structure of the antenna is able to be stable and well performed. © 2022 IEEE.

关键词： Substrate integrated waveguides

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Design of dual band millimeter wave beam shaped array antenna 13

Design of dual band millimeter wave beam shaped array antenn...

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13th International Symposium on Antennas, Propagation and EM Theory, ISAPE 2021

作者： Wen, Rui-Hu Chen, Wei Cao, Xue-Qi Wang, Jing-Ya Niu, Lan-Jie Ma, Meng-Xin Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an710065 China Xi'an Institute of Electromechanical Information Technology Xi'an710065 China Shaanxi Applied Physics and Chemistry Rescarch Insittute Xi'an710061 China

ISBN: (纸本)9781665418126

Aiming at the requirement of dual-channel dual-band millimeter wave for high-frequency radio fuze determination, a miniaturized dual-band microstrip beam-shaped array antenna which consists of six patch radiation units and microstrip feed network is designed. Independent adjustment of the two working frequency bands can be achieved by adjusting the size of the patch and the length of the slot. © 2021 IEEE.

关键词： Millimeter waves

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Design, Optimization and Performance Analysis of Permanent Magnet Synchronous Generator for Fuze

Design, Optimization and Performance Analysis of Permanent M...

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control, Electronics and Computer technology (ICCECT), IEEE International Conference on

作者： Zhaoxuan Guo Guanglin He Guangsong Ma Yulong Zhang Zenghui Qiao Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing China Xi’an Institute of Electromechanical Information Technology Xi’an China Beijing Electro-Mechanical Engineering Institution Beijing China PLA Strategic Support Force Tianjin China

In order to solve the power supply problem of the fuze on the small-caliber projectile and improve the reliability of the fuze power supply, a miniaturized fuze turbine permanent magnet synchronous generator (PMSG) is designed in this paper, which is a physical power supply driven by wind. In order to improve the electromagnetic performance of the design schemes, this paper proposes a methodology based on dimensional parameters optimization, optimizes the design parameters based on the Rotational Motor Expert (RMxprt) module, and then conducts electromagnetic performance analysis based on the Maxwell 2D module. Finally, according to the performance parameters, the scheme with 6-pole 9-slot mode is selected among the two schemes with different pole-to-slot ratio, its load line voltage is 21.53 V, and the rated load output power is 47.15 W, which meets the design requirements.

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The Application of Immune Genetic Algorithm in BP Neural Network

The Application of Immune Genetic Algorithm in BP Neural Net...

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6th International Conference on Intelligent Computing and Signal Processing (ICSP)

作者： Zhao Yichang Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an China

ISBN: (纸本)9781665447300

Randomly generating the initial weights and thresholds of the neural network will bring uncertainty to the network. We used genetic algorithms to optimize the initial weights and thresholds of the neural network. However, the genetic algorithm may have the problem of premature population maturity during its operation, that is, the algorithm has converged before reaching the global optimal solution. To this end, the immune genetic algorithm is used to optimize the initial weights and thresholds of the neural network to avoid premature maturity of the population. A binary classification problem model is established. From the simulation training results, the use of immune genetic algorithm to optimize the BP neural network can more effectively prevent the network from falling into a local minimum during training, improve the network convergence speed, and complete it more accurately and stably Two classification problems.

关键词： Training Degradation Uncertainty Sociology Signal processing algorithms Artificial neural networks Signal processing

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Application of Target Electromagnetic Scattering Characteristics in Short-Range dynamic Detection

Application of Target Electromagnetic Scattering Characteris...

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International Symposium on Antennas, Propagation and EM Theory (ISAPE)

作者： Wenhui Hu Gang Li Wei Li Bo Tian Tie Li Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an China

ISBN: (纸本)9781665418133

In view of the way that radio fuse probe target for echo information with dynamic scanning detection in the scene of near-field, this paper designed an experiment of the application scheme, which the scheme used radar to image electromagnetic scattering from a target of interest, the complex echo signals in the detection results were divided according to the time series and the RCS mean value of the corresponding region was calibrated, thus the time-resolved/part-resolved target information can be used in the design and verification of near-field detector, providing a new method for the application of target characteristic information in the process of short-range dynamic detection.

关键词： Radar cross-sections Fuses Antenna theory Time series analysis Radar detection Detectors Radar scattering

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Investigation on Effect from variational Electromagnetic Parameters of absorbing patch for RCS of Almond model

Investigation on Effect from variational Electromagnetic Par...

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International Symposium on Antennas, Propagation and EM Theory (ISAPE)

作者： Wei Li Tie Li Dengdian Huang Yue Xie Science and Technology on Electromechanical Dynamic Control Laboratory Xian China

ISBN: (纸本)9781665418133

The RCS of the almond model which was affected by the change from electromagnetic parameters (ε and $\mu)$ of the absorbing patch was researched, and the moment method was utilized. The $\varepsilon$ andμ of the absorbing patch can be measured and the values were assumed to vary with equal difference in the interval of 5%~30%, the measured values of $\varepsilon$ and $\mu$ worked as variable which were used to calculate the RCS of the almond model with the different $\varepsilon$ and $\mu$ of the patch. Here, two almond model RCS were obtained, one is circumferential RCS which generated by the gradient of $\varepsilon$ and $\mu$ of absorbing patch, and the other Radar Cross-Section (RCS) generated by the known electromagnetic parameter measurements. Comparing the two RCS mentioned above, the calculated results show that for the HH polarization, the undulation values of the almond model RCS vary within 0.4dB when the real part of $\varepsilon$ and $\mu$ of the absorbing patch vary within 5%-30% at 10GHz, and for the VV polarization, the undulation values changes within 2.5 dB, Moreover, the polar differences of both polarizations decrease with the increase of the real part of the $\varepsilon$ and $\mu$ , in both polarization modes, the polar RCS is sensitive to the variation of $\varepsilon$ and $\mu$ , and the VV polarization is much more sensitive than the HH polarization.

关键词： Analytical models Radar cross-sections Antenna theory Electromagnetic scattering Electromagnetics Method of moments

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