2022
2022
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Record 85 of
Title:Pupil Dilation Reflecting the Characteristics of Attention Networks of Patients Using Image Processing
Author(s):Zhang, Huangyemin(1,2,3); Wen, Shirui(4); Zhu, Guangpu(1,2,3); Huang, Kailing(4); Hu, Bingliang(1,3); Wang, Quan(1,3); Feng, Li(4)Source: 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2022 Volume: Issue: DOI: 10.1109/EEBDA53927.2022.9744922 Published: 2022Abstract:Attention is the basis of high-level cognitive functions of the human brain. The attention network consists of three networks: alerting, orienting, and executive network. Different type of epilepsy affects different brain regions, which could influence attention function differently. We created a computer-based automatic attention function evaluation platform with eye-tracking, which was adapted from the attention network test (ANT). Through this platform, we compared the pupil activation patterns of epilepsy patients (29 patients with frontal lobe epilepsy and 37 patients with temporal lobe epilepsy) and healthy controls (n = 29) in three networks. Participants had different patterns of pupil dilation under the three network conditions. Eye-tracking data showed that compared with the healthy control group, patients with frontal lobe epilepsy had a worse executive function, and temporal lobe epilepsy affected the patients' alerting and orienting network. Our study showed that the characteristic analysis of pupil activation curves of three networks could assist in the location of epileptogenic lesions in patients with epilepsy. ? 2022 IEEE.Accession Number: 20221712027113 -
Record 86 of
Title:Superimposed Hermite–Gaussian-correlated Schell-model beam with multiple off-axis vortices
Author(s):Zhou, Zheng-Lan(1,2); Xu, Hua-Feng(3); Zhou, Yuan(2,4); Zhang, Shaohua(1); Yuan, Yangsheng(5); Han, Yashuai(1); Zhou, Zhengxian(1); Yao, Baoli(2); Qu, Jun(1,2)Source: Journal of the Optical Society of America A: Optics and Image Science, and Vision Volume: 39 Issue: 8 DOI: 10.1364/JOSAA.462129 Published: August 2022Abstract:We first introduce a class of a superimposed Hermite–Gaussian-correlated Schell model with a multiple off-axis vortices beam, with the side lobe of the beam carrying one to four vortex singularities at the source plane. Subsequently, the variation laws of this beam after being focused by a thin lens are studied theoretically to obtain the optimal beam parameters. The numerical simulation results show that the beam possesses a unique multiple vortex structure, phase structure, and orbital angular momentum. Its intensity resembles a spiral staircase rotating around the axes. The rotational symmetry property of the transverse energy flow along the z axis was broken by the vortices. The hot spot position can be adjusted flexibly by changing the off-axis distance of vortices. This study is of great significance for nondestructive capture and manipulation of multiple particles or cells. ? 2022 Optica Publishing GroupAccession Number: 20223112459437 -
Record 87 of
Title:A Review of the Research on the Measurement Methods of the Sub-reflector of Large Aperture Radio Telescopes
Author(s):Qiao, Jiang(1,2); Lin, Shangmin(1,2); Wang, Hu(1,2); Jin, Yu(1,2)Source: 2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation, APCAP 2022 - Proceedings Volume: Issue: DOI: 10.1109/APCAP56600.2022.10069990 Published: 2022Abstract:As an important electromagnetic wave signal receiving and transmitting equipment, antenna reflector is widely used in radar, communication and astronomical observation and other fields. The positional accuracy of the sub-reflector of a large aperture radio telescope is a key indicator that affects the receiving performance. This paper briefly expounds the principles and characteristics of various position measurement methods, and summarizes the main advantages and limitations of various technical solutions, providing a reference for the exploration and innovation of position and attitude measurement methods for radio telescope sub-reflectors. ? 2022 IEEE.Accession Number: 20231513873914 -
Record 88 of
Title:Single Space Object Image Denoising and Super Resolution Reconstructing based on Unpaired images
Author(s):Chen, Errui(1); Feng, Xubin(1,2)Source: IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC) Volume: 2022-June Issue: DOI: 10.1109/ITAIC54216.2022.9836590 Published: 2022Abstract:High quality space target image is of great significance for space attack and defense because space exploration missions are becoming more and more important. But high quality images of space object are difficult to obtain due to the large number of cosmic rays in the space environment, as well as the limitations of optical lenses, detectors and transmission links on satellites. Image denoising and super-resolution reconstruction are the most economical and effective methods to solve this problem. This paper presents an unpaired denoising and super-resolution reconstruction method for optical remote sensing images which could obtain the images has higher quality than dataset itself. In order to further improve the quality of optical remote sensing images, high quality natural images are added into the training set, and unpaired image data sets (natural images and optical remote sensing images belong to different fields and cannot correspond one to one) are adopted to complete the training of the whole network by using the idea of unsupervised learning. Through the verification tests of three optical remote sensing image data sets, it can be seen that the method in this paper has reconstructed high quality optical remote sensing images with higher resolution than the dataset itself. ? 2022 IEEE.Accession Number: 20223512639691 -
Record 89 of
Title:The complex Maxwell stress tensor theorem: The imaginary stress tensor and the reactive strength of orbital momentum. A novel scenery underlying optical forces
Author(s):Nieto-Vesperinas, Manuel(1); Xu, Xiaohao(2,3)Source: arXiv Volume: Issue: DOI: 10.48550/arXiv.2205.08984 Published: May 18, 2022Abstract:We uncover the existence of a universal phenomenon concerning the electromagnetic optical force exerted by light or other electromagnetic waves on a distribution of charges and currents in general, and of particles in particular. This conveys the appearence of underlying reactive quantities that hinder radiation pressure and currently observed time-averaged forces. This constitutes a novel paradigm of the mechanical efficiency of light on matter, and completes the landscape of the optical, and generally electromagnetic, force in photonics and classical electrodynamics; widening our understanding in the design of both illumination and particles in optical manipulation without the need of increasing the illuminating power, and thus lowering dissipation and heating. We show that this may be accomplished through the minimization of what we establish as the reactive strength of orbital (or canonical) momentum, which plays against the optical force a role analogous to that of the reactive power versus the radiation efficiency of an antenna. This long time overlooked quantity, important for current progress of optical manipulation, and that stems from the complex Maxwell theorem of conservation of complex momentum that we put forward, as well as its alternating flow associated to the imaginary part of the complex Maxwell stress tensor, conform the imaginary Lorentz force that we introduce in this work, and that like the reactive strength of orbital momentum, is antagonistic to the well-known time-averaged force; thus making this reactive Lorentz force indirectly observable near wavelengths at which the time-averaged force is lowered. ? 2022, CC BY.Accession Number: 20220123002 -
Record 90 of
Title:Interpretation of Interstitial Lung Diseases from Magnetic Resonance Image using deep learning
Author(s):Tang, Zijia(1); Li, Xijie(2,3)Source: Proceedings - 2022 2nd International Conference on Advanced Enterprise Information System, AEIS 2022 Volume: Issue: DOI: 10.1109/AEIS59450.2022.00027 Published: 2022Abstract:Usual interstitial pneumonia (UIP) and nonspecific interstitial pneumonia (NSIP) shared similar patterns in medical images but had different treatments and outcomes. This study presented an automatically distinguishable tool, named ConvT, using deep learning methods to help the clinicians differentiate NSIP from UIP based on MRI images. ConvT employed a CNN feature extractor and a cross-view transformer to classify the bio-medical patterns that indicate NSIP or UIP. The experiment in a dataset with over 417 MRI T2WI images showed ConvT had 97.62% accuracy and 0.9767 F1 scores in the classification task. The visualization of ConvT illustrated that the proposed model can correctly identify the specific patterns of both NSIP and UIP. ? 2022 IEEE.Accession Number: 20232714360805 -
Record 91 of
Title:Design of subpixel response characterization measurements for the Earth 2.0 Mission
Author(s):Li, Yan(1); Wang, Chaoyan(1); Zhang, Hui(1); Zhang, Yongshuai(1); Tang, Zhenghong(1); Ge, Jian(1); Zhang, Hongfei(2); Wang, Jian(2); Song, Zongxi(3); Gao, Wei(3)Source: Proceedings of SPIE - The International Society for Optical Engineering Volume: 12180 Issue: DOI: 10.1117/12.2630626 Published: 2022Abstract:The Earth 2.0 (ET) mission is a Chinese space mission designed to detect thousands of terrestrial-like planets, including habitable Earth-like planets orbiting solar type stars (i.e., Earth 2.0s), cold low-mass planets, and free-floating planets. Six 30cm telescopes are used for very high precision photometry measurements to detect transiting planets. In order to reach very high precision photometry, an intra-pixel response function (IPRF) of detectors needs to be measured for the ET design to keep image motions caused by spacecraft operation within an acceptable level. To characterize detectors, two setups have been developed in the lab to measure spot size of the characterization beam and subpixel sensitivity. Early characterization results are reported. ? 2022 SPIE.Accession Number: 20230413449649 -
Record 92 of
Title:Using Hyperspectral Reconstruction for Multispectral Images Change Detection
Author(s):Liu, Song(1,2); Li, Haiwei(1); Zhang, Geng(1); Hu, Bingliang(1); Chen, Junyu(1,2)Source: 2022 7th International Conference on Image, Vision and Computing, ICIVC 2022 Volume: Issue: DOI: 10.1109/ICIVC55077.2022.9886261 Published: 2022Abstract:In recent years, using multispectral remote sensing data to change detection has been a hot issue. However, the limited number of spectral segments cannot accurately classify ground objects, which will affect the performance of change detection. To overcome this problem, in this paper, we propose a multispectral image change detection method based on a hyperspectral reconstruction network. The original multispectral data is used to generate hyperspectral data with richer spectral information, and then the generated data is used for change detection. The whole network consists of a reconstruction network and a change detection network. Based on the input multispectral data, a small amount of hyperspectral data is used to assist the training. In addition, we design a weighted loss to balance the two subnetworks in the training stage. In the test stage, the network can automatically recover hyperspectral data from multispectral data for change detection. The experimental results on two data sets show that the hyperspectral reconstruction method can improve the accuracy of multispectral images. ? 2022 IEEE.Accession Number: 20224112891799 -
Record 93 of
Title:Research on Key Technology of Compound Axis Control of Periscope Optical Communication Terminal
Author(s):Liu, Peng(1,2,3); Li, Zhiguo(1,2,3); Xie, Meilin(1,2); Wang, Fan(1,2); Liu, Bo(1,2); Chang, Zhiyuan(1,2); Caiwen, Ma(1,2,3)Source: IEEE 6th Information Technology and Mechatronics Engineering Conference, ITOEC 2022 Volume: Issue: DOI: 10.1109/ITOEC53115.2022.9734658 Published: 2022Abstract:In this paper, the problems of bandwidth matching, miss distance calculation and control loop coupling in the composite axis control system of optical communication terminal are analyzed and deduced in detail. Firstly, the relation between coarse and fine tracking bandwidth ratio is described. Secondly, the theoretical formula of miss distance under image rotation is derived by means of coordinate system transformation. Finally, a cooperative control strategy is proposed to achieve high precision tracking of the system. The accuracy and effectiveness of the above methods are verified by system simulation and test platform, which lays a theoretical and technical foundation for the application of the composite axis control system of the latent optical communication terminal. ? 2022 IEEE.Accession Number: 20221511946917 -
Record 94 of
Title:Medical Image Retrieval Based on Attention Triplet Hashing
Author(s):Guo, Shangrui(1); Yang, Kai(2,3); Zhang, Zhijun(4); Li, Xijie(5)Source: 2022 11th International Conference on Power Science and Engineering, ICPSE 2022 Volume: Issue: DOI: 10.1109/ICPSE56329.2022.9935433 Published: 2022Abstract:With the wide application of X-ray, Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) methods in clinical practice, massive information retrieval and utilization of medical images has become a hot topic. Although traditional methods have shown good results in many specific medical applications, there are still many problems in large-scale medical applications. Deep hash method has been proved to be the most efficient approximate nearest neighbor search technique for large-scale image retrieval. To this end, Attention Triplet Hashing (ATH) network is proposed in this paper, which can further improve retrieval performance and ranking performance of small samples by learning low-dimensional hash codes that retain classification, ROI, and small sample information. We add channel attention to this end-to-end framework to focus on ROI information. And we add label smoothing regularization to distinguish small sample images. Finally, the validity of my framework is tested on a case-based medical dataset. ? 2022 IEEE.Accession Number: 20224913200597 -
Record 95 of
Title:Differentiate Visual Features with Guidance Signals for Video Captioning
Author(s):Yang, Yifan(1,2); Lu, Xiaoqiang(1)Source: ACM International Conference Proceeding Series Volume: Issue: DOI: 10.1145/3562007.3562052 Published: August 26, 2022Abstract:The task of video captioning is to generate comprehensible and grammatically correct sentences which describe the main visual content of videos. Existing neural modules based methods improve the model interpretability by separately predicting words of different part-of-speech. However, the separation of different modules may lead to confusing semantics. In this work, a video captioning method referred to as Differentiate Visual Features with Guidance Signals (DVFGS) is proposed, which enhances the semantic consistency of the neural modules based method through guidance signals. This process is similar to the cell differentiation process, producing differences and having different effects on the whole. Extensive experiments performed on MSVD and MSR-VTT show that DVFGS pushes the limit of neural modules based video captioning methods forward. ? 2022 ACM.Accession Number: 20224312992537 -
Record 96 of
Title:Quantitative atmospheric turbulence simulating method for laser field imaging
Author(s):Cheng, Zhiyuan(1,2); Li, Zhiguo(1,2); Ji, Zhou(3); Xia, Aili(1)Source: 2022 4th International Conference on Intelligent Control, Measurement and Signal Processing, ICMSP 2022 Volume: Issue: DOI: 10.1109/ICMSP55950.2022.9858990 Published: 2022Abstract:The image of space objects by optical field imaging telescope is inevitably affected by atmospheric turbulence. Because of the random variation of atmospheric turbulence, it is difficult to control and simulate atmospheric turbulence quantitatively. In order to quantitatively research and reveal the relationship between intensity of atmospheric turbulence and image quality of laser field imaging, a quantitative controlling and simulating experiment method of intensity of atmospheric turbulence is presented. On the one hand, the atmospheric scintillation effect is researched quantitatively by real-time control and adjustment of laser beam intensity; on the other hand, the atmospheric phase disturbance effect is studied quantitatively by real-time regulating of laser frequency difference. A quantitative numerical controlling and simulating platform for atmospheric turbulence was constructed. On this experimental platform, the effect of phase jitter and scintillation of atmospheric turbulence on image quality of laser field imaging is quantitatively studied. The results show that the image quality decreases seriously and the image contour cannot be identified, when the scintillation index of turbulent light intensity is greater than 0.08 and the laser beam frequency difference is greater than 50Hz. In order to improve the image quality, the effect of atmospheric turbulence should be suppressed in the subsequent image reconstruction algorithm, and imaging experiments should be carried out under weak turbulence conditions as far as possible. ? 2022 IEEE.Accession Number: 20223812766902