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Two-dimension high efficiency beam steering based on liquid crystal polarization gratings

Optics Express 2025年第10期33卷 21425-21440页

作者： Zifan Li Bijun Yu Junhao Gong Yutong Liu Lina Fan Xin Gao Jiahang Yin Tongshan Ding Dawei Zhang Jun Wang Ruijin Hong Hongmin Mao Huanjun Lu Zhaoliang Cao Key Laboratory of Intelligent Optoelectronic Devices and Chips of Jiangsu Higher Education Institutions School of Physical Science and Technology Suzhou University of Science and Technology Suzhou 215009 China Advanced Technology Research Institute of Taihu Photon Center School of Physical Science and Technology Suzhou University of Science and Technology Suzhou 215009 China School of Optoelectronic Information and Computer Engineering University of Shanghai for Science and Technology Shanghai 200093 China School of Electronics and Information Engineering Suzhou University of Science and Technology Suzhou Jiangsu 215009 China caozl@***

Cascaded liquid crystal polarization grating (LCPG) structure is commonly used to realize two-dimension large angle optical beam steering. In this architecture, different LCPGs have different incident angles. As a liquid crystal half-wave plate (LC HWP) is placed in front of the LCPG to control steering direction, the different incident angles will affect the phase modulation of LC HWP and then, decrease the steering efficiency. In this paper, the steering efficiency of cascaded LCPGs under tilt incidence is considered and a compensation method is proposed to increase the steering efficiency. A simple analysis model is established to calculate the steering efficiency of cascaded LCPG structure for tilt incidence with arbitrary direction. Further, the effect of tilt incidence on the phase modulation of LC HWP is compensated and a simple formula is given to compute the compensation voltage. A validation experiment is performed to verify the proposed method. All the simulated and experimental results indicate that the steering efficiency of cascaded LCPGs can be improved for two-dimension beam scanning. This work is helpful for high efficiency beam steering based on cascaded LCPGs.

关键词： Beam steering Effective refractive index Free space optics Light beams Liquid crystals Phase modulation

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Modeling the adoption of urban air mobility based on technology acceptance and risk perception theories: A case study on flying cars

Multimodal Transportation

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Multimodal Transportation 2025年第2期4卷

作者： Hu, Sangen Huang, Zikang Wang, Ke Lin, Haiyuan Pei, Mingyang School of Civil and Transportation Engineering Guangdong University of Technology Guangzhou 510006 China Department of Civil and Transportation Engineering South China University of Technology Guangzhou 510641 China Business School School of Intelligent Emergency Management Center for Supernetworks Research University of Shanghai for Science and Technology Shanghai 200093 China

Flying cars, a symbol of Urban Air Mobility (UAM), signify a pivotal step in revolutionizing urban transportation and play a pivotal role in shaping future transport systems. To enhance travelers' willingness to accept flying cars and promote the widespread adoption of this novel transportation mode, this study develops a comprehensive model to explore key factors determining the public's acceptance of flying cars by integrating the technology Acceptance Model, Risk Perception Theory, and Trust Theory. The validity of the model was confirmed through a rigorous structure equation modeling analysis, utilizing 553 sample data collected from a network questionnaire survey across a diverse demographic of the Chinese market. Results revealed significant associations between the intention to use flying cars and various factors, including attitudes towards usage, perceived usefulness, and personal innovativeness. Heterogeneity analysis further uncovered how demographic factors (such as age, gender, education, and possession of a driver's license) impacted perceptions and acceptance. As the study concludes, despite general optimism, public acceptance of flying cars is strongly influenced by factors such as cost, safety, and privacy concerns play crucial roles in public acceptance. The insights from this study provide valuable implications for manufacturers, policymakers, and marketers in strategizing the introduction and promotion of flying cars. © 2025 The Authors

关键词： Flying car Public acceptance Structural equation model technology acceptance model Urban air mobility

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Experimental Study on Thermal Elastohydrodynamic Lubrication Performance Calculation and Take-Off Speed of Thrust Bearing of Canned Motor Pump

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Lubricants 2025年第4期13卷 191-191页

作者： Cao, Yanjun Yu, Yingjie Gang, Haiming Shang, Qichen Meng, Xiaozhe Yang, Mohan Jia, Qian Gearing Technology Co. Ltd. Zhengzhou450001 China School of Mechanical and Precision Instrument Engineering Xi’an University of Technology Xi’an710048 China School of Mechanical Engineering Xi’an Jiaotong University Xi’an710049 China Department of Mechanical Engineering Xi’an Jiaotong University City College Xi’an710018 China Engineering Research Center of Robot and Intelligent Manufacturing Universities of Shaanxi Province Xi’an710018 China

In this paper, the calculation model and method of the lubrication performance of the thrust bearing, which considers the thermal bomb deformation, are constructed based on the working characteristics of the main pump thrust of the nuclear power plant. The key design parameters of the tile package Angle θ are analyzed by taking the design parameters of the thrust-bearing tile as the variable. The circumferential fulcrum coefficient of tile, the influence of tile thickness B, and tile elastic modulus E on the lubrication performance of thrust bearing are analyzed to obtain improved design parameters. The lubrication performance of the thrust bearing includes the minimum oil film thickness hmin, the maximum temperature of oil film Tmax, total flow Qx, total power consumption W, maximum thermal deformation of axial bush δTmax, and the maximum elastic deformation of the axial bush δFmax. The scale test of the designed thrust bearing is carried out. The take-off speed of the bearing is tested and compared with the results of the theoretical analysis. The study results show that the influence is becoming more obvious from θo to hmin. Moreover, the impact becomes more obvious from Tmax to Qx, B to hmin, and Qx to δTmax and δFmax. Lastly, the impact is also obvious from E to Qx and δFmax. © 2025 by the authors.

关键词： Nuclear power plants

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DMSACNN: Deep Multiscale Attentional Convolutional Neural Network for EEG-Based Motor Decoding

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IEEE Journal of Biomedical and Health Informatics 2025年 PP卷 PP页

作者： Liu, Ke Xing, Xin Yang, Tao Yu, Zhuliang Xiao, Bin Wang, Guoyin Wu, Wei Chongqing University of Posts and Telecommunications School of Computer Science and Technology Chongqing400065 China Chongqing University of Posts and Telecommunications Key Laboratory of Big Data Intelligent Computing China Chongqing University of Posts and Telecommunications Key Laboratory of Cyberspace Big Data Intelligent Security of Ministry of Education China South China University of Technology College of Automation Science and Engineering Guangzhou510641 China Chongqing Normal University National Center for Applied Mathematics in Chongqing Chongqing401331 China Shanghai Jiao Tong University School of Medicine Songjiang Hospital Songjiang Research Institute Shanghai Key Laboratory of Emotions and Affective Disorders Shanghai201600 China

Objective: Accurate decoding of electroencephalogram (EEG) signals has become more significant for the brain-computer interface (BCI). Specifically, motor imagery and motor execution (MI/ME) tasks enable the control of external devices by decoding EEG signals during imagined or real movements. However, accurately decoding MI/ME signals remains a challenge due to the limited utilization of temporal information and ineffective feature selection methods. Methods: This paper introduces DMSACNN, an end-to-end deep multiscale attention convolutional neural network for MI/ME-EEG decoding. DMSACNN incorporates a deep multiscale temporal feature extraction module to capture temporal features at various levels. These features are then processed by a spatial convolutional module to extract spatial features. Finally, a local and global feature fusion attention module is utilized to combine local and global information and extract the most discriminative spatiotemporal features. Main results: DMSACNN achieves impressive accuracies of 78.20%, 96.34% and 70.90% for hold-out analysis on the BCI-IV-2a, High Gamma and OpenBMI datasets, respectively, outperforming most of the state-of-the-art methods. Conclusion and significance: These results highlight the potential of DMSACNN in robust BCI applications. Our proposed method provides a valuable solution to improve the accuracy of the MI/ME-EEG decoding, which can pave the way for more efficient and reliable BCI systems. The source code for DMSACNN is available at https://***/xingxin-99/***. © 2025 IEEE.

关键词： Convolutional neural networks

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One-Click Total Bacterial Quantification: An All-in-One Automatic Microfluidic Platform for Simple Liquid Food Samples

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IEEE Sensors Journal 2025年

作者： Yang, Ping Liang, Baihui Yuan, Haojun Zheng, Junmei Zou, Tinglang Xin, Pengfei Yan, Xinxin Wu, Jinlei Luo, Zhiquan Jin, Qinghui Gao, Wanlei Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo315211 China Healthy & Intelligent Kitchen Engineering Research Center of Zhejiang Province Zhejiang Ningbo315336 China Zhejiang Fashion Institute of Technology Mechanical and Electrical Engineering School Zhejiang Ningbo315211 China Ningbo Polytechnic Zhejiang Ningbo315800 China Chinese Academy of Sciences State Key Laboratory of Transducer Technology Shanghai Institute of Microsystem and Information Technology Shanghai200050 China

Food safety detection is essential for disease prevention and public health protection. However, current bacterial detection technologies generally face challenges including complex operation, long detection cycles, and large sample requirements. While ATP bioluminescence technology offers rapid, sensitive microbial quantification, traditional processes remain inefficient. To address these challenges, this study developed a fully automated integrated ATP bioluminescence bacterial quantification platform. The system integrates a microfluidic chip, automatic sample injection module, and real-time luminescence analysis photoelectric module, achieving an end-to-end workflow of mixing, on-chip reaction, analysis, and cleaning, eliminating manual intervention and improving convenience and efficiency. Chip’s advanced structures ensure high mixing efficiency of 98.9%, significantly reducing required sample volume and cost. With detection time under 10 minutes, experimental validation demonstrated excellent inter-batch consistency and repeatability (RSD 2 = 0.9995), and detection limit of 4.86 pM. For Vibrio parahaemolyticus, the system achieved a detection range of 102 to 108 CFU/mL (R2 = 0.996). In spiked Coca-Cola samples, the system maintained excellent anti-interference ability and accuracy (R2 = 0.941), with standard curve slopes differing by only 11.3% from PBS buffer. This portable platform with high sensitivity, stability, and repeatability is suitable for field testing of water and simple liquid foods.. In the future, by integrating specific bacterial capture technology and sample pretreatment modules, the system is expected to extend to more complex matrix sample detection, further enhancing its application value in food safety. © 2001-2012 IEEE.

关键词： Microfluidic chips

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Nonlinear inverse finite element method for large deformation reconstruction of hull structures

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Ocean engineering 2025年 334卷

作者： Cui, Rongpeng Li, Chuntong Wei, Pengyu Luo, Xiaomeng Wang, Deyu State Key Laboratory of Ocean Engineering Shanghai Jiao Tong University Shanghai China Institute of Marine Equipment Shanghai Jiao Tong University Shanghai China Ningbo Institute of Digital Twin Eastern Institute of Technology Zhejiang Ningbo China China Ship Scientific Research Center Wuxi China National Key Laboratory of Ship Structural Safety Wuxi China Shipbuilding Technology Research Institute Shanghai China National Engineering Research Center of Ship Intelligent Manufacturing Shanghai China

The inverse Finite Element Method (iFEM) is crucial in structural health monitoring and virtual-real integrated testing, as it allows for the reconstruction of structural deformation from discrete strain data. This study introduces two iFEM approaches specifically designed to handle substantial deformations and nonlinear strains effectively. According to Green-Lagrange strain, four-node inverse shell element is employed to accurately reconstruct large structural deformations. The development of the nonlinear iFEM equilibrium equations is thoroughly derived using both incremental and iterative methods. Furthermore, an analysis is conducted on the results and convergence processes of these two methodologies. Ultimately, the two nonlinear iFEM approaches are applied to the deformation reconstruction of stiffened plates and box girders to evaluate their precision in deformation reconstruction. The findings reveal that for stiffened plates, both the incremental and iterative methods achieve reconstruction variations within 4 % during both linear and nonlinear phases. With respect to the box girder, reconstruction discrepancies between the two nonlinear iFEM approaches remain within 10 % before reaching the ultimate state, and the deformation contours reconstructed by nonlinear iFEM closely align with those computed by nonlinear FEM. © 2025

关键词： Box girder Large deformation reconstruction Nonlinear inverse finite element method Stiffened plate

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Automated Fast Prediction of Bone Mineral Density From Low-dose Computed Tomography

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Academic Radiology 2025年

作者： Zhou, Kun Xin, Enhui Yang, Shan Luo, Xiao Zhu, Yuqi Zeng, Yanwei Fu, Junyan Ruan, Zhuoying Wang, Rong Geng, Daoying Yang, Liqin Academy for Engineering and Technology Fudan University Shanghai China Department of Radiology Huashan Hospital Fudan University Shanghai China Shanghai Engineering Research Center of Intelligent Imaging for Critical Brain Diseases Shanghai China Institute of Functional and Molecular Medical Imaging Fudan University Shanghai China Department of Research and Development Shanghai United Imaging Intelligence Co. Ltd Shanghai 200232 China

Background: Low-dose chest CT (LDCT) is commonly employed for the early screening of lung cancer. However, it has rarely been utilized in the assessment of volumetric bone mineral density (vBMD) and the diagnosis of osteoporosis (OP). Purpose: This study investigated the feasibility of using deep learning to establish a system for vBMD prediction and OP classification based on LDCT scans. Methods: This study included 551 subjects who underwent both LDCT and QCT examinations. First, the U-net was developed to automatically segment lumbar vertebrae from single 2D LDCT slices near the mid-vertebral level. Then, a prediction model was proposed to estimate vBMD, which was subsequently employed for detecting OP and osteopenia (OA). Specifically, two input modalities were constructed for the prediction model. The performance metrics of the models were calculated and evaluated. Results: The segmentation model exhibited a strong correlation with manual segmentation, achieving a mean Dice similarity coefficient (DSC) of 0.974, sensitivity of 0.964, positive predictive value (PPV) of 0.985, and Hausdorff distance of 3.261 in the test set. Linear regression and Bland–Altman analysis demonstrated strong agreement between the predicted vBMD from two-channel inputs and QCT-derived vBMD, with a root mean square error of 8.958 mg/mm³ and an R² of 0.944. The areas under the curve for detecting OP and OA were 0.800 and 0.878, respectively, with an overall accuracy of 94.2%. The average processing time for this system was 1.5 s. Conclusion: This prediction system could automatically estimate vBMD and detect OP and OA on LDCT scans, providing great potential for the osteoporosis screening. © 2025 The Association of University Radiologists

关键词： Bone mineral density Convolutional neural network Osteoporosis

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CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medical Report Generation

CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medi...

引用

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

作者： Yue Jiang Jiawei Chen Dingkang Yang Mingcheng Li Shunli Wang Tong Wu Ke Li Lihua Zhang Academy for Engineering and Technology Fudan University Cognition and Intelligent Technology Laboratory (CIT Lab) Institute of Meta-Medical Fudan University Tencent YouTu Lab Xiamen University Engineering Research Center of AI and Robotics Ministry of Education Shanghai China Jilin Provincial Key Laboratory of Intelligence Science and Engineering Changchun China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Automatic medical report generation (MRG), which possesses significant research value as it can aid radiologists in clinical diagnosis and report composition, has garnered increasing attention. Despite recent progress, generating accurate reports remains arduous due to the requirement for precise clinical comprehension and disease diagnosis inference. Furthermore, owing to the limited accessibility of medical data and the imbalanced distribution of diseases, the underrepresentation of rare diseases in training data makes large-scale medical visual language models prone to hallucinations, such as omissions or fabrications, severely undermining diagnostic performance and further intensifying the challenges for MRG in practice. In this study, to effectively mitigate hallucinations in medical report generation, we propose a chain-of-medical-thought approach (CoMT), which intends to imitate the cognitive process of human doctors by decomposing diagnostic procedures. The radiological features with different importance are structured into fine-grained medical thought chains to enhance the inferential ability during diagnosis, thereby alleviating hallucination problems and enhancing the diagnostic accuracy of MRG.

关键词： Visualization Accuracy Cognitive processes MIMICs Training data Signal processing Medical diagnosis Speech processing Medical diagnostic imaging Diseases

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Enabling Stateful TCP Performance Profiling with Key Event Capturing

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IEEE Transactions on Network and Service Management 2025年

作者： Geng, Ruopeng Lu, Jianyuan Fang, Chongrong Zhang, Shaokai Zhao, Jiangu Zong, Zhigang Lyu, Biao Zhu, Shunmin Cheng, Peng Chen, Jiming Zhejiang University State Key Laboratory of Industrial Control Technology Hangzhou310027 China Alibaba Group Hangzhou310052 China Ministry of Education of China Key Laboratory of System Control and Information Processing China Shanghai Jiao Tong University Shanghai Engineering Research Center of Intelligent Control and Management Department of Automation Shanghai China Zhejiang University College of Control Science and Engineering Hangzhou310027 China

TCP ensures reliable transmission through its stateful implementation and remains crucial today. TCP performance profiling is essential for tasks like diagnosing network performance problems, optimizing transmission performance, and developing new TCP variants, etc. Existing profiling methods lack enough attention to TCP state transition to provide detailed insights on TCP performance. Thus, we build TcpSight, a tool focusing on TCP state transition throughout connection lifetimes. TcpSight conducts stateful analysis by capturing key events using an efficient per-connection lock-free data management mechanism. Besides, TcpSight enhances profiling by integrating application layer information collected from the TCP stack. With the profiling results, users can identify the culprit of TCP performance degradation, and evaluate the performance of TCP algorithms. We design optional modules and filtering mechanisms to reduce TcpSights overhead. Our evaluation presents that TcpSight incurs an additional CPU consumption of about 16.6% (without filtering) and 10.6% (with filtering) when the server's load is 55.7%, and generates storage consumption about 1.88 KB per connection on average. We also give application cases of TcpSight and the deployment experiences in Alibaba Cloud. TcpSight helps in revealing meaningful findings and insights into exploiting TCP in the production deployment. © 2004-2012 IEEE.

关键词： Information management

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SLC2-SLAM: Semantic-guided Loop Closure using Shared Latent Code for NeRF SLAM

arXiv

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arXiv 2025年

作者： Ming, Yuhang Ma, Di Dai, Weichen Yang, Han Fan, Rui Zhang, Guofeng Kong, Wanzeng School of Computer Science Key Laboratory of Brain Machine Collaborative Intelligence of Zhejiang Province Hangzhou Dianzi University Hangzhou310018 China College of Electronics & Information Engineering Shanghai Institute of Intelligent Science and Technology Shanghai Research Institute for Intelligent Autonomous Systems The State Key Laboratory of Intelligent Autonomous Systems Frontiers Science Center for Intelligent Autonomous Systems Tongji University Shanghai201804 China State Key Lab of CAD&CG Zhejiang University Hangzhou310058 China

Targeting the notorious cumulative drift errors in NeRF SLAM, we propose a Semantic-guided Loop Closure using Shared Latent Code, dubbed SLC2-SLAM. We argue that latent codes stored in many NeRF SLAM systems are not fully exploited, as they are only used for better reconstruction. In this paper, we propose a simple yet effective way to detect potential loops using the same latent codes as local features. To further improve the loop detection performance, we use the semantic information, which are also decoded from the same latent codes to guide the aggregation of local features. Finally, with the potential loops detected, we close them with a graph optimization followed by bundle adjustment to refine both the estimated poses and the reconstructed scene. To evaluate the performance of our SLC2-SLAM, we conduct extensive experiments on Replica and ScanNet datasets. Our proposed semantic-guided loop closure significantly outperforms the pre-trained NetVLAD and ORB combined with Bag-of-Words, which are used in all the other NeRF SLAM with loop closure. As a result, our SLC2-SLAM also demonstrated better tracking and reconstruction performance, especially in larger scenes with more loops, like ScanNet. Copyright © 2025, The Authors. All rights reserved.

关键词： SLAM robotics

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