检索结果-内蒙古大学图书馆

Adaptive focusing optical coherence tomography for corneal imaging

Optics Letters 2025年第3期50卷 896-899页

作者： Shi, Yejiong He, Bin Yin, Zichen Chen, Zhengyu Hu, Zhangwei Xue, Ruizhi Yang, Panqi Zhang, Xiao Zhang, Ning Meng, Zhe Ying, Yuzhe Jing, Linkai Wang, Guihuai Xue, Ping State Key Laboratory of Low-dimensional Quantum Physics Department of Physics Tsinghua University Beijing China Frontier Science Center for Quantum Information Beijing China Beijing Institute of Technology Beijing China Institute of Forensic Science Ministry of Public Security Beijing China Department of Neurosurgery Beijing Tsinghua Changgung Hospital School of Clinical Medicine Institute of Precision Medicine Tsinghua University Beijing China

Optical coherence tomography (OCT) plays a crucial role in diagnosing corneal diseases due to its capacity to provide high-resolution three-dimensional imaging. However, the convex shape of the cornea and the inherent tradeoff between depth of field (DOF) and lateral resolution in OCT systems often result in defocusing issues, leading to reduced lateral resolution and sensitivity in single-shot high-resolution imaging. Traditional methods typically involve multiple focusing at different depths followed by image stitching to achieve full-depth high-resolution imaging of the cornea, which increases imaging times and introduces potential stitching artifacts. To address these limitations, we propose a novel adaptive focusing OCT system. By leveraging the symmetry of the corneal structure and the periodic focusing stability of an electrically tunable lens, our system can achieve full-depth high-resolution imaging of the entire cornea in a single scan, covering an 11 mm imaging range and 1.5 mm depth variation with a lateral resolution of 10 µm. This approach not only halves the imaging time but also eliminates the need for image stitching. Imaging of curved tape samples and excised porcine corneas demonstrates the potential of this novel technique for high-resolution and fast corneal imaging. © 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.

关键词： Optical coherence tomography

来源：评论

学校读者我要写书评

暂无评论

Realizing high-speed target tracking by using multi-rate feedforward predictive control for the acquisition, tracking, and pointing system

引用

Defence technology 2025年

作者： Li, Hang Peng, Gaoliang Shan, Xiaobiao Zhao, Mingyuan Zhang, Wei Wang, Jinghan Cheng, Feng State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China College of Information Science and Technology Eastern Institute of Technology Ningbo315200 China

The acquisition, tracking, and pointing (ATP) system is widely used in target tracking, counter-UAV operations, and other related fields. As UAV technology develops, there is a growing demand to enhance the tracking capabilities of ATP systems. However, in practical applications, ATP systems face various design constraints and functional limitations, making it infeasible to indefinitely improve hardware performance to meet tracking requirements. As a result, tracking algorithms are required to execute increasingly complex tasks. This study introduces a multi-rate feedforward predictive controller to address issues such as low image feedback frequency and significant delays in ATP systems, which lead to tracking jitter, poor tracking performance, low precision, and target loss. At the same time, the proposed approach aims to improve the tracking capabilities of ATP systems for high-speed and highly maneuverable targets under conditions of low sampling feedback rates and high feedback delays. The method suggested is also characterized by its low order, fast response, and robustness to model parameter variations. In this study, an actual ATP system is built for target tracking test, and the proposed algorithm is fully validated in terms of simulation and actual system application verification. Results from both simulations and experiments demonstrate that the method effectively compensates for delays and low sampling rates. For targets with relative angular velocities ranging from 0 to 90°/s and angular accelerations between 0 and 470°/s2, the system improved tracking accuracy by 70.0%–89.9% at a sampling frequency of 50 Hz and a delay of 30 m s. Moreover, the compensation algorithm demonstrated consistent performance across actuators with varying characteristics, further confirming its robustness to model insensitivity. In summary, the proposed algorithm considerably enhances the tracking accuracy and capability of ATP systems for high-speed and highly maneuverable ta

关键词： Predictive control systems

来源：评论

学校读者我要写书评

暂无评论

Multi-View Incongruity Learning for Multimodal Sarcasm Detection 31

Multi-View Incongruity Learning for Multimodal Sarcasm Detec...

引用

31st International Conference on Computational Linguistics, COLING 2025

作者： Guo, Diandian Cao, Cong Yuan, Fangfang Liu, Yanbing Zeng, Guangjie Yu, Xiaoyan Peng, Hao Yu, Philip S. Institute of Information Engineering Chinese Academy of Sciences China School of Cyber Security University of Chinese Academy of Sciences China State Key Laboratory of Software Development Environment Beihang University China School of Computer Science and Technology Beijing Institute of Technology China Department of Computer Science University of Illinois Chicago United States

ISBN: (纸本)9798891761964

Multimodal sarcasm detection (MSD) is essential for various downstream tasks. Existing MSD methods tend to rely on spurious correlations. These methods often mistakenly prioritize non-essential features yet still make correct predictions, demonstrating poor generalizability beyond training environments. Regarding this phenomenon, this paper undertakes several initiatives. Firstly, we identify two primary causes that lead to the reliance of spurious correlations. Secondly, we address these challenges by proposing a novel method that integrate Multimodal Incongruities via Contrastive Learning (MICL) for multimodal sarcasm detection. Specifically, we first leverage incongruity to drive multi-view learning from three views: token-patch, entity-object, and sentiment. Then, we introduce extensive data augmentation to mitigate the biased learning of the textual modality. Additionally, we construct a test set, SPMSD, which consists potential spurious correlations to evaluate the the model's generalizability. Experimental results demonstrate the superiority of MICL on benchmark datasets, along with the analyses showcasing MICL's advancement in mitigating the effect of spurious correlation. © 2025 Association for Computational Linguistics.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Multi-scale network for single image deblurring based on ensemble learning module

引用

Multimedia Tools and Applications 2025年第11期84卷 9045-9064页

作者： Wu, WenBo Pan, Yun Su, Na Wang, JingTao Wu, ShaoChuan Xu, ZeKun Yu, YouJian Liu, YaPeng State Key Laboratory of Media Convergence and Communication Communication University of China Beijing100024 China School of Computer and Cyberspace Security Communication University of China Beijing100024 China School of Electronics and Information Engineering Harbin Institute of Technology Harbin150080 China College of Computer and Control Engineering Northeast Forestry University Harbin150040 China School of Computer and Information Engineering Tianjin Chengjian University Tianjin300384 China School of Computer Science and Technology Anhui University Hefei230601 China

In this paper, we have identified two primary issues with current multi-scale image deblurring methods. On the one hand, the blurring scale is ignored. On the other hand, the context information of images is not fully utilized, and the spatial detail information of images is lost. To better solve the above problems, on top of that, this paper proposes a multi-scale network for single image deblurring. The designed network contains two parts: 1) Ensemble Learning Model: The Weak Learning Model in this module connects multiple weak learners in series to increase network depth. Moreover, through multi-scale feature ensemble module, the output features and intermediate features of different weak learner are integrated, and finally strong learner is used to enhance the features with semantic information at different scales;2) Spatial Feature Enhancement Module: This module can preserve spatial detail information of images and compensate for the disadvantages of losing image spatial details due to continuous downsampling in the Ensemble Learning Model structure. Our proposed deblurring model has been extensively evaluated on several benchmark datasets, and the model achieves superior performance compared to the most advanced deblurring methods. In particular, the peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) values are 33.57 dB and 0.965 on the GoPro dataset, respectively, with PSNR and SSIM improving by 0.49 dB and 0.002 over NAFNet, and 0.65 dB and 0.004 over Restormer. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Enhancing Geolocation Accuracy of High-Altitude Airborne SAR Through Tropospheric Delay Compensation

引用

IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Xiang, Yaobing Sun, Yuli Lei, Lin Ji, Kefeng Kuang, Gangyao National University of Defense Technology State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System College of Electronic Science and Technology Changsha410073 China

Geolocation is a crucial step in the processing of synthetic aperture radar (SAR) images. High-altitude airborne SAR systems present unique geolocation challenges due to travelling long distances through the troposphere. However, the impact of tropospheric delay on geolocation is often overlooked in existing airborne SAR studies, which can lead to inaccuracies. To address this issue, we propose a new positioning method, the tropospheric delay-compensated range-Doppler (TDC-RD) model. The TDC-RD model leverages reference atmospheric models to estimate and compensate for the tropospheric delay in SAR images. This model effectively mitigates the impact of tropospheric delay in SAR geolocation. To further optimize the TDC-RD model solution, a digital elevation model (DEM)-assisted dual iteration method is proposed. This method iteratively adjusts the target's plane position and elevation in an alternating manner. The effectiveness of the TDC-RD model has been validated through both simulation experiments and actual flight experiments. The results show a significant improvement in geolocation accuracy compared to existing methods, with a maximum reduction of 11.39 m and 24.33% in the mean absolute error (MAE) of SAR geolocation. The TDC-RD model has a great advantage in long-range SAR geolocation. Our research enhances the accuracy and stability of high-altitude airborne SAR geolocation without requiring ground control points. © 2025 IEEE.

关键词： Troposphere

来源：评论

学校读者我要写书评

暂无评论

Quick-UAV OCSORT: a fast and robust UAV-based tracking-by detection algorithm

引用

Signal, Image and Video Processing 2025年第7期19卷 1-12页

作者： He, Peng Zhao, Zhihong Liu, Xinyue Shijiazhuang TieDao University School of Information Science and Technology Shijiazhuang China State Key Laboratory of Structural Mechanics Behavior and System Safety of Traffic Engineering Shijiazhuang China

Unmanned aerial vehicles (UAVs) have become important platforms for multi-object tracking. In this paper, we proposed Quick-UAV OCSORT, a fast and robust tracking-by-detection (TBD) algorithm that extends the Observation-centric SORT (OC-SORT) framework. Our method introduced a lightweight LightMBN network for enhanced re-identification, a pre-matching strategy to reduce redundant ReID calls, an improved B-IoU + algorithm for robust small object matching, and a Camera motion compensation (CMC) module to mitigate camera jitter. Experiments on the VisDrone2019 dataset demonstrate improvements of 0.88% in MOTA, 5.51% in IDF1, and 3.01% in HOTA, while maintaining an average processing speed of 19.58 FPS. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Drones

来源：评论

学校读者我要写书评

暂无评论

Query recovery from easy to hard: jigsaw attack against SSE 24

Query recovery from easy to hard: jigsaw attack against SSE

引用

Proceedings of the 33rd USENIX Conference on security Symposium

作者： Hao Nie Wei Wang Peng Xu Xianglong Zhang Laurence T. Yang Kaitai Liang Huazhong University of Science and Technology Huazhong University of Science and Technology and Hubei Key Laboratory of Distributed System Security School of Cyber Science and Engineering and JinYinHu Laboratory and State Key Laboratory of Cryptology Huazhong University of Science and Technology and St. Francis Xavier University Delft University of Technology

ISBN: (纸本)9781939133441

Searchable symmetric encryption schemes often unintentionally disclose certain sensitive information, such as access, volume, and search patterns. Attackers can exploit such leakages and other available knowledge related to the user's database to recover queries. We find that the effectiveness of query recovery attacks depends on the volume/frequency distribution of keywords. Queries containing keywords with high volumes/frequencies are more susceptible to recovery, even when countermeasures are implemented. Attackers can also effectively leverage these "special" queries to recover all *** exploiting the above finding, we propose a Jigsaw attack that begins by accurately identifying and recovering those distinctive queries. Leveraging the volume, frequency, and cooccurrence information, our attack achieves 90% accuracy in three tested datasets, which is comparable to previous attacks (Oya et al., USENIX' 22 and Damie et al., USENIX' 21). With the same runtime, our attack demonstrates an advantage over the attack proposed by Oya et al (approximately 15% more accuracy when the keyword universe size is 15k). Furthermore, our proposed attack outperforms existing attacks against widely studied countermeasures, achieving roughly 60% and 85% accuracy against the padding and the obfuscation, respectively. In this context, with a large keyword universe (≥3k), it surpasses current state-of-the-art attacks by more than 20%.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Recent development on online public opinion communication and early warning technologies: Survey

引用

Expert systems with Applications 2025年 284卷

作者： Wu, Wei Yang, Yawen Qiao, Tianlu Peng, Haipeng School of Information Science and Engineering Shandong Normal University Jinan China Information Security Center State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

The rapid development of the Internet and communication technologies has led to the emergence of online public opinion, which plays a crucial role in disseminating information and guiding the public. However, due to its large volume of data and fast-paced changes, automated monitoring of online public opinion is challenging. Currently, advancements in artificial intelligence (AI) technology provides new solutions for detecting and early warning of online public opinion. This paper reviews the literature in the field of online public opinion research over the years. Firstly, it systematically elucidates the formation mechanism and dissemination model of online public opinion. Secondly, it focuses on the analysis of public opinion monitoring technology in the era of artificial intelligence, clarifying the research branches of online public opinion early warning technology. Finally, it identifies the shortcomings in current research on online public opinion and proposes directions for future research. © 2025 Elsevier Ltd

关键词： Reviews

来源：评论

学校读者我要写书评

暂无评论

Source-free Domain Adaptation with Multiple Alignment for Efficient Image Retrieval

Source-free Domain Adaptation with Multiple Alignment for Ef...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Jinghui Ni Hui Cui Lihai Zhao Fengling Li Xiaohui Han Lijuan Xu Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Quan Cheng Laboratory Shandong Open University University of Technology Sydney

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Domain adaptation techniques help models generalize to target domains by addressing domain discrepancies between the source and target domain data distributions. These techniques are particularly valuable for cross-domain hashing retrieval, as they reduce training costs while maintaining high retrieval efficiency. However, existing unsupervised domain adaptative hashing methods often require access to both source and target domain data, which may raise privacy concerns regarding source domain data. To address these concerns, restricting access to source domain data is crucial, but this restriction also makes the alignment process between domains more challenging. In this paper, we propose a Source-free Domain Adaptive Hashing with Multiple Alignment (SFDAH-MA) approach for image retrieval. SFDAH-MA integrates model structure alignment, class moment alignment, and semantic relationship alignment to maximize inter-domain knowledge transfer. This comprehensive alignment strategy not only enhances retrieval performance across domains but also minimizes reliance on source domain data, thereby supporting data privacy protection. Extensive experiments show that SFDAH-MA achieves state-of-the-art performance in source-free settings and achieves comparable results to existing unsupervised domain adaptive hashing methods under conventional settings. The source codes of our method are available at: https://***/Nikphyc/SFDAH-MA.

关键词： Training Data privacy Adaptation models Source coding Semantics Image retrieval Signal processing Protection Speech processing Knowledge transfer

来源：评论

学校读者我要写书评

暂无评论

Omnidirectional Wireless Power Transfer Based on 2-D Decoupled Combination Coil and Excitation Current Vector Control

引用

International Journal of Circuit Theory and Applications 2025年第0期

作者： Yao, Xiaodi Guo, Yanjie Wang, Ruimin Wang, Xu Zhang, Yajing Song, Baihao Zhang, Zepeng State Key Laboratory of Intelligent Power Distribution Equipment and System Hebei University of Technology Tianjin China School of Automation Beijing Information Science and Technology University Beijing China

This article presents an excitation current vector control method based on a two-dimensional (2-D) decoupled combination transmitting coil that can generate a three-dimensional (3-D) rotating magnetic field. Through this method, the output power of the omnidirectional wireless power transfer (WPT) system can reach small fluctuations, when the receiving coil rotates at any angle. First, the 2-D combination transmitting coil, consisting of three regular hexagonal coils, is analyzed by the second-order vector potential theory. Then, mutual decoupling among the three regular hexagonal coils is achieved at a specific coil overlapping distance. Moreover, system equivalent circuit model is established, and the relationship between system output power and dual phase shift angles is obtained. Furthermore, an excitation current vector control method is proposed to generate the 3-D rotating magnetic field under different receiving coil rotation conditions. Uniform spatial energy distribution can be obtained through this method, in which the magnetic field amplitude is adjusted by the inverter phase shift angles, and the magnetic field direction is determined by the phase angle differences. Finally, the proposed method is verified based on a developed omnidirectional WPT prototype. Experimental results show that when the receiving coil rotates at any angle, relatively high system transmission efficiencies can be achieved. Meanwhile, the maximum output power fluctuation rate is only 12.3%, which is improved compared to the existing literature. © 2025 John Wiley & Sons Ltd.

关键词： Vectors

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：