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A non-contact flexible pyroelectric sensor for wireless physiological monitoring system

science China(Information sciences) 2022年第2期65卷 162-172页

作者： Jian HE Sen LI Xiaojuan HOU Yongjun ZHOU Hao LI Min CUI Tao GUO Xiangdong WANG Jiliang MU Wenping GENG Xiujian CHOU Science and Technology on Electronic Test and Measurement Laboratory North University of China Science and Technology on Near-Surface Detection Laboratory China Institute of Sport Science

Recently, human physiological information wireless monitoring in real-time is particularly important in health analysis. As a solution, a non-contact wireless physiological monitoring system based on pyroelectric generator(Py G), whose core part consists of a wireless circuit processing module and a polyvinylidene fluoride(PVDF) film, has been successfully designed. Owing to the temperature change under the stimulation of an external heat source, the output voltage of the Py G self-powered flexible sensor increases with the heat source temperature variation in the range of 295–355 K. Furthermore, based on the natural temperature oscillation between the living body and surrounding environment, the sensor can realize human physiological information assessment, for example, temperature monitoring of the palms, fingers, respiratory heat signals from mouth or nose or non-contact spatial heat mapping recognition of finger movement via sensor array. On this basis, a portable wireless monitoring system was designed by integrating the intelligent sensor with a signal conditioning circuit, data conversion storage module, Bluetooth module,and power module. This system can acquire real-time human oral or nasal breathing signals in the personal mobile app to evaluate the physiological state of individuals. Additionally, the wireless monitoring system can be activated within 10 m, demonstrating the application of Py G sensors in remote data transmission.

关键词： non-contact pyroelectric generator human body heat environmental thermal energy wireless monitoring system

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Reconfigurable Multi-band Phase-Switched-Screen based on Artificial Magnetic Conductor surface 13

Reconfigurable Multi-band Phase-Switched-Screen based on Art...

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13th International Conference on Microwave and Millimeter Wave technology, ICMMT 2021

作者： Ling, Guoping Gong, Weijie Chang, Yumei Wang, Lin Science And Technology On Near-Surface Detection Laboratory Wuxi China Nanjing University Of Posts And Telecommunications College Of Electric And Optical Engineering Nanjing China

ISBN: (纸本)9781665434379

In this paper, by employing the PIN diodes to the ultra-thin Artificial Magnetic Conductor (AMC), a new kind of reconfigurable multi-band phase switched screen (PSS) was proposed. By control the switch sequences between "OFF"and "ON"states in different binary switch form (code "0"represents the state of "OFF", and code"1"represents "ON"state) on the PIN diodes in the PSS, the reflection phase from the AMC surface at the resonating frequencies could change between in-phase and out-of-phase alternatively. If the sequences were properly chosen, then the incident electromagnetic would be reflected after digital modulation. And therefore, most of the energy of the reflected wave would move out from the working band of the radar receiver, and only small amount of interference signal fall into the working band, and then lead to radar stealth. Meanwhile, the simulation results verify the feasibility of the proposed design. © 2021 IEEE.

关键词： Frequency modulation

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Passive detection Beamforming Based on Arc Array 3rd

Passive Detection Beamforming Based on Arc Array

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3rd International Conference on Advanced Intelligent Technologies, ICAIT 2022

作者： Li, MengLei Xu, YueLin Wang, ShiRui Li, YiQing CSSC Ocean Exploration Technology Institude Co. Ltd Jiangsu Wuxi China Science and Technology On Near-Surface Detection Laboratory Jiangsu Wuxi China

ISBN: (纸本)9789819952021

Linear arrays are widely used in underwater acoustic detection equipment, but they often have the problem of port and starboard ambiguity, and the azimuth resolution will decrease rapidly with the increase of the deviation from the natural pointing angle. In order to solve this problem, the conventional beamforming method is adopted in this paper, and the beamforming performance of non-linear arrays is simulated and studied. The simulation results show that the ring array can have consistent beam response and azimuth resolution in any direction. Further considering that the actual application scenario of the array is the shore, the actual required detection range is from −90° to 90°. In order to avoid the waste of array elements, the beamforming performance of the arc array is studied. The simulation results show that for a semi-circular arc array with a beam radius product of 21π, the azimuth resolution can be maintained between 2° and 4° in the range of −70° to 70°, which is beneficial to the azimuth estimation of small targets and meets the requirements of usage requirements. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Beamforming

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Shoal Target Recognition Based on Sample Data Enhancement and Target detection 3rd

Shoal Target Recognition Based on Sample Data Enhancement an...

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3rd International Conference on Advanced Intelligent Technologies, ICAIT 2022

作者： Wang, Jian Jun Xu, Yue Lin Wang, Shi Rui Du, Xing Yue CSSC Ocean Exploration Technology Institute Co. Ltd Jiangsu Wuxi China Science and Technology On Near-Surface Detection Laboratory Jiangsu Wuxi China

ISBN: (纸本)9789819952021

For shoal targets (boats, cars, people, etc.), the data is scarce and fuzzy, and it is difficult to detect and identify. A data enhancement technology based on generative adversarial network and target detection method based on multi-scale feature fusion and knowledge distillation are proposed. First, in the absence of paired data, it is not necessary to establish a one-to-one mapping between training data, and learn the method CycleGAN from the source data domain X to the target data domain Y, so as to realize the migration between the source domain and the target domain. So as to obtain shoal target images in different environments, construct shoal target datasets of different categories, and solve the problem of scarcity and blur of shoal target data. Then, by studying the use of atrous convolution to replace the general convolution kernel, the small target detection performance is improved and the spatial feature pyramid pooling structure based on the attention mechanism is used to realize the fusion of local features and global features, enrich the feature information of the target itself, and suppress the influence of environmental factors such as illumination on target detection improves the detection performance of the model in dark night scenes, so as to achieve target detection and recognition. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Distillation

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An unsupervised aerial tracking method of camouflaged targets in complex environments 3

An unsupervised aerial tracking method of camouflaged target...

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3rd International Conference on Defence technology, ICDT 2022

作者： Liu, Yang Wang, Cong-Qing Xu, Bin Zhou, Yongjun College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China Science and Technology on Near-Surface Detection Laboratory Wuxi214000 China

With the widespread use of UAVs and the development of various technologies related to computer vision, much attention has been devoted to UAV-based target tracking. For the task of tracking camouflaged people in complex environments, there is a shortage of annotated datasets and poor backbone feature extraction network capabilities, which will cause tracking drift and tracking lag. To achieve unsupervised UAV target tracking under unsupervised conditions, a new target tracking model has been designed. First, we roughly detect moving targets using a camouflaged segmentation network, and then apply dynamic programming to generate smooth candidate boxes. Secondly, a deeper convolutional neural network is designed for feature extraction to replace the original backbone network, and the residual structure is modified to ensure tracking effectiveness. Extensive comparative experiments have shown that the proposed unsupervised method performs the task of UAV target tracking well. © Published under licence by IOP Publishing Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Lightweight-YOLOv5s for the camouflaged personnel detection in the woodland 3

Lightweight-YOLOv5s for the camouflaged personnel detection ...

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3rd International Conference on Defence technology, ICDT 2022

作者： Xu, Bin Wang, Congqing Liu, Yang Zhou, Yongjun College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China Near-Surface Detection Laboratory of Science and Technology Wuxi214000 China

Unmanned aerial vehicles(UAVs) technology and target detection technology are increasingly integrated. However, the target detection networks are cumbersome and complex, and it is hard to directly deploy these networks on the UAVs. To address this problem, a Lightweight-YOLOv5s which can be applied to the UAVs is proposed to detect the camouflaged personnel in the woodland. Depthwise separable convolutions are added to the YOLOv5s for reducing the parameters and computational effort. Then a new channel pruning method based on Batch Normalization(BN) layer scaling factor with adaptive sparsity training is proposed for network compression, which can balance the compression ratio and accuracy of the detection. The pruned network is then fine-tuned to detect the camouflaged personnel. In addition, a special dataset is built for the camouflaged personnel detection in the woodland. The quantitative results on this dataset prove that the proposed Lightweight-YOLOv5s greatly improve the YOLOv5s. Parameters from 7.06M to 1.86M, floating point operations from 16.4G to 9.9G and inference time from 8.16ms to 7.06ms. Besides, mAP of the Lightweight-YOLOv5s is 0.83, which shows the excellent detection performance of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Antennas

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Application of update lifting morphological wavelet and non-negative matrix factorization for wheeled and tracked vehicles classification 9

Application of update lifting morphological wavelet and non-...

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9th International Conference on Environmental and Engineering Geophysics, ICEEG 2020

作者： Ding, Kai Du, Kai Qi, Xiaogang Xu, Yuelin Cui, Junqi Science and Technology on Near -Surface Detection Laboratory Wuxi214035 China 31104 Troops Nanjing210007 China Xidian University Xi'an710071 China

This paper presents an available scheme based on update lifting morphological wavelet (ULMW) and Non-negative matrix factorization (NMF) for wheeled and tracked vehicles classification. The ULWM algorithm which utilizes the update operator, means the morphological filter to replace the linear filter can preserve the impulsive shape details in seismic signal. Meanwhile the NMF method can reduce the computation cost. The traditional linear wavelet analysis and statistical analysis are compared with the presented scheme. Experimental results demonstrate that the presented scheme achieves a promising performance on extracting impulsive features of seismic signal and recognizing ground moving target. © Published under licence by IOP Publishing Ltd.

关键词： Non-negative matrix factorization

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Kinetics of first order magnetostructural transition in single crystalline FeRh thin film

Kinetics of first order magnetostructural transition in sing...

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2015 IEEE International Magnetics Conference, INTERMAG 2015

作者： Lu, W. Xu, Y. Fang, X. Song, Y. Li, X. School of Materials Science and Engineering Tongji University Shanghai China National Key Laboratory of Science Technology on Near-surface Detection and Sensing Technology Wuxi China University of Shanghai for Science and Technology Shanghai China

ISBN: (纸本)9781479973224

The FeRh alloy has been the subject of many experimental and theoretical studies over the last fifty years.[1-3] This interest is primarily due to the observation that the near-equiatomic phase of FeRh possesses a chemically ordered CsCl-type structure which exhibits an abrupt antiferromagnetic (AFM) to ferromagnetic (FM) transition with heating to a transition temperature of around 350K in the bulk and thin film forms. [1-3]. Previous researches show that the first order magnetostructural transition in ordered FeRh-based alloys is very sensitive to composition, temperature, external magnetic field and pressure [2-4]. This AFM-FM transition thus provides an interesting case to understand the nucleation and growth kinetics across a first order phase transition. Although many attempts have been made in order to clarify the underlying mechanism of this magnetostructural transition, the local origin responsible for the nucleation and growth of both FM and AFM phases and the coexistence of the two phases expected from a first-order transition is still under debate for this system. In addition, the nucleation and growth processes of both FM and AFM phases are crucial to the proposed applications. Previously, we have studied the magnetostructural phase transition behavior of polycrystalline FeRh thin films [5]. In this work, we report the temperature and time dependent magnetization of FM phase in epitaxial FeRh thin films across the AFM-FM transition on both heating and cooling process by vibrating sample magnetometer. © 2015 IEEE.

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Ship Tracking with Static Electric Field Based on Adaptive Progressive Update Extended Kalman Filter 2

Ship Tracking with Static Electric Field Based on Adaptive P...

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2nd International Conference on Electronic Information technology and Computer Engineering, EITCE 2018

作者： Hu, Shouwei Yan, Bing Science and Technology on Near-Surface Detection Laboratory Wuxi Jiangsu214035 China College of Weapon Engineering Naval University of Engineering Wuhan Hubei430033 China

An adaptive progressive update extended Kalman filter is introduced for unknown noise in ship tracking using static electric field. The corresponding state space model is established;the algorithm is introduced, and the simulation is designed. The simulation results show that the adaptive algorithm can effectively improve the performance of the algorithm, when the noise covariance deviates from the real value;the finite number of noise covariance estimation is beneficial to the stability of the filter. © The Authors, published by EDP sciences, 2018.

关键词： Extended Kalman filters

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A Method Based on Relaxation Frequency for Object Recognition

A Method Based on Relaxation Frequency for Object Recognitio...

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2022 International Conference on Signal Processing, Computer Networks, and Communications, SPCNC 2022

作者： Qu, ShiHua Jiang, HeJun Luo, ZhaoPeng Wang, Zhan Zheng, FanFu Xiao, KeZhen Wu, MeiWu The 50th Research Institute of China Electronics Technology Group Corporation Shanghai200331 China Science and Technology on Near-Surface Detection Laboratory Wuxi214035 China

ISBN: (纸本)9781510664616

This paper proposes a target recognition technique based on target relaxation frequency parameters. These parameters are calculated from the frequency response observed by multi-frequency magnetic induction. Firstly, we prepare multi-frequency response and class labels of various materials. The least-square optimization method calculates the prepared materials' relaxation frequency characteristic parameter matrix. Secondly, the matrix is used in the linear regression method to calculate the regression model's undetermined coefficients. Then the coefficients help us to obtain the class label of the target. Finally, we compare the target label with the prepared class labels to identify the substance type of the target. The results show that the technique proposed in this paper can accurately identify and classify the substance type of the target, and the multi-frequency magnetic induction technology based on relaxation frequency can be applied in substance identification. © 2023 SPIE.

关键词： Least squares approximations

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