2023

• Record 97 of
  
  Title:High sensitivity Fabry-Pérot interferometric magnetic sensor based on Fe3O4-doped PDMS composite thin film
  
  Author(s):Wang, Xingfeng(1,2); Yang, Jianfeng(1)
  Source: Applied Physics Express  Volume: 16  Issue: 2  Article Number: 026501  DOI: 10.35848/1882-0786/acb3af  Published: February 2023  
  Abstract:A magnetic field sensor based on Fabry-Pérot interferometer (FPI) with soft gold magnetic composite film (GMCF) is proposed and demonstrated experimentally. GMCF is fabricated by Fe3O4-doped polydimethylsiloxane (PDMS) film and adhered thin gold membrane via van der Waals force. Applying an external magnetic field, GMCF can vibrate under magnetic forces and cause a change in the cavity length of FPI and hence modulates the interference spectra. Experimental results indicate that the sensor can achieve maximum sensitivity of 390 pm mT−1 under a linear magnetic field intensity ranging from 0 to 65 mT. The proposed sensor could help with magnetic field detection in complex environments. © 2023 The Japan Society of Applied Physics.
  Accession Number: 20230713582633
• Record 98 of
  
  Title:Measurement of underwater camera imaging resolution using underwater collimator
  
  Author(s):Ding, Zhe(1,2); Wu, Guojun(1,2); Wu, Yafeng(1); Feng, Fei(1,2); Liu, Bo(1)
  Source: Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering  Volume: 52  Issue: 2  Article Number: 20220397  DOI: 10.3788/IRLA20220397  Published: February 2023  
  Abstract:Underwater optical imaging is an important underwater measurement method. The existing underwater camera imaging resolution measurement method is affected by the water body and the measurement method, and it is difficult to accurately measure the imaging resolution. The underwater camera imaging resolution measurement technology based on an underwater collimator is proposed to directly measure the underwater camera imaging resolution by generating parallel light beams in the water. Through simulation, the modulation transfer function (MTF) of the underwater collimator in visible light in water and single wavelength in the air are basically the same. In conclusion, a method for adjusting the underwater collimator in the air is proposed. The experimental test is carried out for an underwater camera developed in the laboratory, and its resolution under the condition of visible light in water and a 635 nm light source in the air is the same. The experimental results show that the proposed underwater camera imaging resolution measurement method based on the underwater collimator can effectively eliminate the influence of water on the measurement and realize the accurate measurement of the underwater camera imaging resolution. © 2023 Chinese Society of Astronautics. All rights reserved.
  Accession Number: 20232614323484
• Record 99 of
  
  Title:Multiple Attention Mechanism Enhanced YOLOX for Remote Sensing Object Detection
  
  Author(s):Shen, Chao(1,2); Ma, Caiwen(1); Gao, Wei(1)
  Source: Sensors  Volume: 23  Issue: 3  Article Number: 1261  DOI: 10.3390/s23031261  Published: February 2023  
  Abstract:The object detection technologies of remote sensing are widely used in various fields, such as environmental monitoring, geological disaster investigation, urban planning, and military defense. However, the detection algorithms lack the robustness to detect tiny objects against complex backgrounds. In this paper, we propose a Multiple Attention Mechanism Enhanced YOLOX (MAME-YOLOX) algorithm to address the above problem. Firstly, the CBAM attention mechanism is introduced into the backbone of the YOLOX, so that the detection network can focus on the saliency information. Secondly, to identify the high-level semantic information and enhance the perception of local geometric feature information, the Swin Transformer is integrated into the YOLOX’s neck module. Finally, instead of GIOU loss, CIoU loss is adopted to measure the bounding box regression loss, which can prevent the GIoU from degenerating into IoU. The experimental results of three publicly available remote sensing datasets, namely, AIBD, HRRSD, and DIOR, show that the algorithm proposed possesses better performance, both in relation to quantitative and qualitative aspects. © 2023 by the authors.
  Accession Number: 20230713593009
• Record 100 of
  
  Title:A Middleware-Based Approach for Latency-Sensitive Service Provisioning in IoT with End-Edge Cooperation
  
  Author(s):Sun, Canlong(1); Li, Ting(1); Wu, Zihao(1); Li, Cong(2)
  Source: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST  Volume: 507 LNICST  Issue: null  Article Number: null  DOI: 10.1007/978-3-031-34497-8_1  Published: 2023  
  Abstract:As modern mobile applications have become more and more complex, mobile edge computing brings IT services and computing resources to the edge of mobile networks to full fill various computing and application requirements. Considering that mobile devices may not always have adequate hardware conditions, computation offloading, which can help devices take full advantage of extra computing resources, has reached a broad audience in the edge environments. However, due to the limited storage space of edge servers, it is very difficult to manage services in middleware. Therefore, in the edge computing environment, how to deal with a large amount of data from different edge nodes in the middleware is very important. In this paper, we regard an approach about improving quality of sensitive data for middleware on edge environments. We have evaluated our approaches on a real-world environment. The results demonstrate that our approach can effectively reduce the response time. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
  Accession Number: 20232614316029
• Record 101 of
  
  Title:FBLSTM: A Filter-Bank LSTM-based Deep Learning Method for MI-EEG Classification
  
  Author(s):Gui, Yawei(1,2,3); Tian, Ziwei(1,2,3); Liu, Xi(1,2,3); Hu, Bingliang(1,3); Wang, Quan(1,3)
  Source: Proceedings of SPIE - The International Society for Optical Engineering  Volume: 12615  Issue: null  Article Number: 126151W  DOI: 10.1117/12.2673936  Published: 2023  
  Abstract:Motor imagery electroencephalogram (MI-EEG) classification is a vital task for brain computer interface (BCI) system. But the classification accuracy is not satisfactory, which hinders its generalizability. This study proposes a Filter-Bank Long Short-Term Memory (LSTM) Network (FBLSTM), which adopts a series of band-pass filters to obtain the different frequency information in EEG signals, and a convolution neural network to obtain spatial information. Moreover, a LSTM with attention mechanism is employed to process time series information. The open BCI Competition IV dataset 2a is applied to validate the performance of the proposed FBLSTM. Compared with recent methods, our method shows advantages on the within-subject and cross-subject 4-class classification performance and outperformed existing models, achieving an average accuracy of 72.4% and 53.6%, respectively. © 2023 SPIE.
  Accession Number: 20232114139908
• Record 102 of
  
  Title:Optical passive athermalization design of a catadioptric infrared optical system with large aperture and long focal length
  
  Author(s):Cui, Wen(1,2); Yan, Aqi(1); Mei, Chao(1); Chen, Weining(1)
  Source: Proceedings of SPIE - The International Society for Optical Engineering  Volume: 12565  Issue: null  Article Number: 1256505  DOI: 10.1117/12.2661520  Published: 2023  
  Abstract:In view of the problem that the imaging quality of the large-aperture and long-focal length infrared optical system is sensitive to temperature changes.In this paper, we propose an idea of combining athermalization design with catadioptric optical system, and a large-aperture long-focal length catadioptric infrared optical system is designed by this idea.According to the influence of each parameter by environmental changes, the system optical power is allocated reasonably.Select the appropriate infrared lens material and reflector base material for the system so that the image plane deviation caused by the environmental changes of the components cancel each other out.The design method and idea proposed in this paper have important reference value for the realization of heat dissipation of catadioptric optical system.The working band of the system is 8~14μⅿ, the focal length is 250ⅿⅿ, F-number is 1, and the three infrared materials used in the system are HWS2, HWS9 and IRG22.The design results show that the system can maintain high imaging quality in the temperature range of -40℃~+60℃, with the modulation transfer function(MTF)curves close to the diffraction limit at the cutoff frequency.The design methods and ideas proposed in this paper have significant reference value for realizing athermalization of catadioptric optical systems. © 2023 SPIE.
  Accession Number: 20232114126750
• Record 103 of
  
  Title:Correlation Filter Tracking Algorithm Based on Filter Space Constraint and Object Re-Detection
  
  Author(s):Tian, Yan(1); Ren, Sixi(1); Xu, Zhaohui(1); Zhang, Yongkang(1)
  Source: 2023 8th International Conference on Image, Vision and Computing, ICIVC 2023  Volume: null  Issue: null  Article Number: null  DOI: 10.1109/ICIVC58118.2023.10270522  Published: 2023  
  Abstract:fast Discriminative Scale Space Tracking (fDSST) is an excellent object tracking algorithm with a good balance between tracking precision and running speed. In order to improve its long-term and stable tracking performance, especially its ability to recapture object, the fDSST_SrRed algorithm is proposed in this paper. The improvement details include: in order to reduce the negative impact of boundary effect on fDSST, a spatial constraint method of position filter is proposed; Aiming at the defect that the fDSST cannot relocate the object after the object is occluded and disappeared, an object re-detection method based on zero-filling of position filter was proposed. In order to judge when to start object detection, a tracking confidence evaluation index is proposed. Based on this confidence evaluation index, a dynamic filter update method is designed to make the filter learn more accurate object information and background information. Experiments show that compared with the baseline fDSST, proposed algorithm has a great improvement in the tracking precision of occluded and disappeared scenes. Compared with other correlation filter based long-term tracking algorithms (LCT, MUSTER and FuCoLoT), the proposed algorithm not only has good tracking precision, but also has the fastest running speed. The experimental results show that the improvement is effective. © 2023 IEEE.
  Accession Number: 20234515020715
• Record 104 of
  
  Title:Lightweight design of all-aluminum Cassegrain laser receiving system structure
  
  Author(s):Yu, Wanrong(1,2); Yang, Hongtao(1); Chen, Weining(1); Peng, Jianwei(1)
  Source: Proceedings of SPIE - The International Society for Optical Engineering  Volume: 12565  Issue: null  Article Number: 125651P  DOI: 10.1117/12.2662478  Published: 2023  
  Abstract:In order to meet the design requirements of more compact and portable laser detection system, the parameters optimization design of lightweight structure is carried out for the receiving system with large quality proportion. Firstly, based on the index requirements of the system for performance and structure, the scheme of Cassegrain optical receiving system is selected, and it is clear that the receiving system is an all-aluminum card mechanical structure. Then, through the numerical analysis of the mode and static force of the receiving lens, the main reflector is selected as the optimization object. After that then the multi wheel topology optimization design is carried out by using the finite element analysis method, and the dynamic simulation analysis of the whole receiving system is carried out. Finally, it is determined that the lightweight hole form of the back opening of the main reflector is fan-shaped, the thickness is 4mm, and the weight loss rate is 31.4%. Under certain vibration and impact environment conditions, the system structure still has good stability. According to the design and optimization results, the processing and assembly of the lens are completed. Through alignment test and surface inspection, the PV value of the main reflector is 2.293λ, and the RMS is0.509λ (λ=1064nm). Both of them meet the requirements of optical design. It shows that the accuracy of the main reflector surface improved by top1ology optimization can meet the application requirements. which has a certain reference significance for the structural design in the field of aircraft laser ranging. © 2023 SPIE.
  Accession Number: 20232114127134
• Record 105 of
  
  Title:Quantifying the Impact of Myopia on Visual Perception in Children Through Eye Tracking
  
  Author(s):Liu, Xi(1,2,3); Yan, Xiangyu(4); You, Jialu(5); Wang, Yuqi(1,2); Dang, Ruochen(1,2,3); Hu, Bingliang(1,2); Zhang, Le(5); Wang, Quan(1,2)
  Source: 2023 8th International Conference on Image, Vision and Computing, ICIVC 2023  Volume: null  Issue: null  Article Number: null  DOI: 10.1109/ICIVC58118.2023.10270520  Published: 2023  
  Abstract:Myopia is a prevalent ocular disorder that often develops in early childhood and affects children's vision as well as potential cognitive ability throughout crucial developmental stages. While earlier studies have shown how myopia affects cognitive processes such as intermittent memory in adults, there are currently few straightforward scientific explanations for how myopia affects visual cognitive performance. In order to examine the relevant visual behavior through the patterns of children's eye movements, this study used eye tracking technology to collect eye movement data from children aged 8 to 10 years during a natural reading task and an image recognition task. The cognitive abilities of the control group and children with varied degrees of myopia were quantitatively measured using the MoCA. The results revealed no significant differences in the ability to interpret textual materials throughout the natural reading task. However, in the visual image recognition task, there were significant differences between the control group and the moderate myopia group in the first saccade start time to target pictures (p = 0.047 by independent sample Kruskal-Wallis test), indicating that children with moderate myopia might have slower recognition than their peers with normal vision. These results offered additional evidence that myopia could have a detrimental effect on children's vision-related cognitive function. © 2023 IEEE.
  Accession Number: 20234515020714
• Record 106 of
  
  Title:Solar-blind UV signal detection system
  
  Author(s):Xiang, Junjie(1,2); Bai, Yonglin(2); Cao, Weiwei(1)
  Source: Proceedings of SPIE - The International Society for Optical Engineering  Volume: 12963  Issue: null  Article Number: 1296316  DOI: 10.1117/12.3007712  Published: 2023  
  Abstract:To meet the demand of weak ultraviolet signal acquisition and transmission for solar-blind ultraviolet flame detectors, this paper develops a signal acquisition system based on a β-Ga2O3 thin-film photoconductive sensor. Firstly, the weak signal acquisition circuit is designed according to the electrical characteristics of the β-Ga2O3 photoconductive sensor. Secondly, real-time data transmission and processing are achieved by using field-programmable gate array (FPGA). Thirdly, the experimental platform of solar-blind UV imaging system is built, and the joint test of the β-Ga2O3 photoconductive sensor and the readout electronics system is conducted. The experimental results demonstrate that the system is capable of acquiring, transmitting, and storing the solar-blind UV signal data from a 1×8 pixel array. The sampling rate can reach up to 20 kHz and exhibits stable performance. © 2023 SPIE. All rights reserved.
  Accession Number: 20240215330250
• Record 107 of
  
  Title:Dynamic space–time dark level correction approach for lunar radiometric calibration of the Lunar Observation Imaging Spectrometer
  
  Author(s):An, Lingping(1,2); Wang, Yihao(1,2); Zhao, Hang(1,2); Yu, Can(1,2); Wang, Yanheng(1,2); Wang, Shuang(1); Liu, Xuebin(1)
  Source: Applied Optics  Volume: 62  Issue: 5  Article Number: null  DOI: 10.1364/AO.476640  Published: February 10, 2023  
  Abstract:Lunar radiometric calibration is used to solve the problem of consistent radiometric calibration for multiple satellite platforms and remote sensors. However, the dark level fluctuates when observing the Moon with a shortwave infrared spectrometer, which seriously affects the accuracy of lunar radiation data. In this work, we propose a dynamic space–time dark level correction approach to address the fluctuation of the dark level. This method employs cold space signals in space and time dimensions to estimate the dark level for each frame individually and to reduce errors due to environmental variations. Experiments on lunar observations at multiple phase angles were conducted, and the dark level correction results demonstrate that our proposed method is effective even in the short-wave infrared, and is also superior to currently existing techniques. For a single-band (1700 nm) image of the full Moon, the mean background proportion of the proposed method is 1.00%, which is better than that of the static dark correction method (2.25%) and linear dark correction method (5.93%). © 2023 Optica Publishing Group.
  Accession Number: 20230713583784
• Record 108 of
  
  Title:Infrared and Visible Image Fusion Method based on Residual Network
  
  Author(s):Gao, Yansheng(1); Cheng, Zhiyuan(2); Su, Hua(3); Ji, Zhou(1); Hu, Jiahao(1); Peng, Ziqian(1)
  Source: 2023 4th International Conference on Computer Engineering and Intelligent Control, ICCEIC 2023  Volume: null  Issue: null  Article Number: null  DOI: 10.1109/ICCEIC60201.2023.10426703  Published: 2023  
  Abstract:In the same scene, infrared images and visible light images contain significantly different information, and image fusion techniques can combine them into a single image to enhance image quality. Over the past few years, the field of image fusion has experienced a significant transformation with the advent of deep learning techniques. However, existing fusion strategies for combining infrared and visible light images based on deep learning suffer from the lack of well-designed loss functions, leading to suboptimal fusion results. Addressing the aforementioned issue, a fusion method for infrared and visible light images based on residual network is presented in this study. This method leverages the deep characteristics of residual networks to extract features and combine shallow and deep features to quantify the information content within the original images, guiding the training of the fusion network to achieve the final fused image. The experimental outcomes on TNO and RoadScene datasets validate the efficacy of the proposed method in attaining fusion results of superior quality. © 2023 IEEE.
  Accession Number: 20241015682252