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Cavity-enhanced infrared quantum dot homojunction arrays

Photonics Research 2025年第6期13卷 1497-1509页

作者： Naiquan Yan Feng Shi Xiaomeng Xue Kenan Zhang Cheng Huo Menglu Chen School of Optics and Photonics Beijing Institute of Technology Beijing 100081 China Zhejiang Key Laboratory of 3D Micro/Nano Fabrication and Characterization Westlake Institute for Optoelectronics Hangzhou 311421 China Laboratory of Science and Technology on Integrated Logistics Support Changsha 410073 China State Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China National Key Laboratory on Near-Surface Detection Beijing 100012 China

Infrared spectroscopy has wide applications in the medical field, industry, agriculture, and other areas. Although the traditional infrared spectrometers are well developed, they face the challenge of miniaturization and cost reduction. Advances in nanomaterials and nanotechnology offer new methods for miniaturizing spectrometers. However, most research on nanomaterial-based spectrometers is limited to the visible wavelength or near infrared region. Here, we propose an infrared spectrometer based on diffraction gratings and colloidal quantum dot (CQD) homojunction photodetector arrays. Coupled with a Fabry-Perot cavity, the CQD photodetector covers the 1.4–2.5 μm spectral range, with specific detectivity 4.64 × 10 11 Jones at 2.5 μm at room temperature. The assembled spectrometer has 256 channels, with total area 2.8 mm × 40 mm . By optimizing the response matrix from machine learning algorithms, the CQD spectrometer shows high-resolution spectral reconstruction with a resolution of approximately 7 nm covering the short-wave infrared.

关键词： Detector arrays Diffraction gratings Fourier transform infrared spectroscopy Imaging systems Medical fields near infrared

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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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High-space-bandwidth product characterization of metalenses with Fourier ptychographic microscopy

arXiv

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arXiv 2024年

作者： Zheng, Chuanjian Wang, Wenli Ji, Yanfang Hu, Yao Zhang, Shaohui Hao, Qun School of Optics and Photonics Beijing Institute of Technology Beijing100081 China National Key Laboratory on Near-Surface Detection Beijing10012 China Tianjin H-Chip Technology Group Corporation Tianjin300480 China

Large numerical aperture (NA) and large aperture metalenses have shown significant performance and abundant applications in biomedical and astronomical imaging fields. However, the high space-bandwidth product (SBP) requirements for measuring the phase of these metalenses, characterized by small phase periods and large apertures, have resulted in no effective techniques for sufficient characterization. In this paper, we propose a high SBP phase characterization technique using Fourier ptychographic microscopy (FPM), enabling a high spatial resolution and wide field of view simultaneously. To demonstrate the feasibility and effectiveness of this technique, we achieve a high SBP (4.91 megapixels) measurement and characterization for focusing and focusing vortex metalenses, quantitatively displaying the effect of fabrication error on their typical optical performance. Furthermore, we characterize the aberration type and amount of wavefront deviations caused by fabrication. We also analyze compensation methods for different aberrations based on the wavefront characterization results, providing a targeted alignment strategy for optimizing overall optical system performance. We believe that our high SBP characterization technique cannot only help to improve metalens design but also optimize its fabrication processing, which will pave the way for the diversified applications of metalenses. Copyright © 2024, The Authors. All rights reserved.

关键词： Aberrations

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Intelligent tailoring of a broadband orbital angular momentum comb towards efficient optical convolution

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Photonics Research 2025年第05期 1148-1157页

作者： SHIYUN ZHOU LANG LI YISHU WANG LILIANG GAO ZHICHAO ZHANG CHUNQING GAO SHIYAO FU School of Optics and Photonics Beijing Institute of Technology Key Laboratory of Photoelectronic Imaging Technology and System Ministry of Education Key Laboratory of Information Photonics Technology Ministry of Industry and Information Technology National Key Laboratory on Near-surface Detection

Due to the high-dimensional characteristics of photon orbital angular momentum (OAM), a beam can carry multiple OAMs simultaneously thus forming an OAM comb, which has been proved to show significant potential in both classical and quantum photonics. Tailoring broadband OAM combs on demand in a fast and accurate manner is a crucial basis for their application in advanced scenarios. However, obtaining phase-only gratings for the generation of arbitrary desired OAM combs still poses challenges. In this paper, we propose a multi-scale fusion learning U-shaped neural network that encodes a phase-only hologram for tailoring broadband OAM combs on-demand. Proof-of-principle experiments demonstrate that our scheme achieves fast computational speed, high modulation precision, and high manipulation dimensionality, with a mode range of-75 to+75,an average root mean square error of 0.0037, and a fidelity of 85.01%, all achieved in about 30 ***, we utilize the tailored broadband OAM combs in conducting optical convolution calculation,enabling vector convolution for arbitrary discrete functions, showcasing the extended capability of our *** work opens, to our knowledge, new insight for on-demand tailoring of broadband OAM combs, paving the way for further advancements in high-dimensional OAM-based applications.

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Evaluation of Water Ecological Carrying Capacity Based on Natural Resource Endowment Characteristics: A Case Study of Yicheng City 12

Evaluation of Water Ecological Carrying Capacity Based on Na...

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12th Academic Conference of Geology Resource Management and Sustainable Development, GRMSD 2024

作者： Jiang, Xingzheng Liu, Xiaojing Li, Xuanhui Zeng, Guanzhong Center for Geophysical Survey China Geological Survey Lang Fang065000 China Technology Innovation Center for Earth Near Surface Detection China Geological Survey Lang Fang065000 China Key Laboratory of Coupling Process and Effect of Natural Resources Elements MNR Beijing100055 China Comprehensive Observation and Research Station for Hubei Xiangyang Natural Resource Elements Xiangyang441000 China

ISBN: (纸本)9798331314545

Water is the source of life, the foundation of ecology and the key to production. In Yicheng City, a typical county city in China's watersheds, the concept of water ecological carrying capacity and the assessment method are proposed by combining the general situation of the study area and the relevant research bases at home and abroad, taking into account the whole elements of natural resources. Determination of factor weights using a combined hierarchical analysis-entropy weighting approach. Deriving water ecological carrying capacity evaluation results suitable for adoption in rural China. Results and analysis of water ecological carrying capacity zoning and grading in Yicheng City. There are 223 village units in Yicheng City, and considering the spatial scarcity of the indicator factors, the study area is divided into four categories of village-level evaluation units, namely, the ideal carrying, preferable carrying, critical overloading and overloading. The proportion of the area is 9.56%, 25.24%, 46.65% and 18.55% respectively, providing scientific reference and data support for the construction of the "Thousand Villages Demonstration and Ten Thousand Villages Improvement" project and the realization of rural revitalization and sustainable development. © 2024 Proceedings of the 12th Academic Conference of Geology Resource Management and Sustainable Development, GRMSD 2024. All rights reserved.

关键词： Sustainable city

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Study on the Spatiotemporal Pattern of Land Use Change in Han River Basin 12

Study on the Spatiotemporal Pattern of Land Use Change in Ha...

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12th Academic Conference of Geology Resource Management and Sustainable Development, GRMSD 2024

作者： Yu, Peng Zeng, Guanzhong Liu, Xiaojing Li, Xuanhui Center for Geophysical Survey China Geological Survey Lang Fang065000 China Technology Innovation Center for Earth Near Surface Detection China Geological Survey Lang Fang065000 China Key Laboratory of Coupling Process and Effect of Natural Resources Elements MNR Beijing100055 China Comprehensive Observation and Research Station for Hubei Xiangyang Natural Resource Elements Xiangyang441000 China

ISBN: (纸本)9798331314545

In response to the frequent changes in land use and prominent conflicts between people and land in the Han River Basin, this study takes the Han River Basin as the research area, based on GIS technology, and uses the land use dataset from 2000 to 2022 to comprehensively utilize the land transfer matrix and standard deviation ellipse analysis to study the spatiotemporal characteristics of land use changes in the research area. The results show that from 2000 to 2022, the cropland area in the study area decreased the most, while the construction land area increased significantly;The spatial change of land use is inclined with the northwest to Dingnan direction as the main axis, concentrated in the southeast and central regions. The research results can provide scientific basis for the national spatial planning and sustainable development of central cities in the Han River Basin. © 2024 Proceedings of the 12th Academic Conference of Geology Resource Management and Sustainable Development, GRMSD 2024. All rights reserved.

关键词： Abiotic

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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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Candidate Evaluation with Multimodal Data-Driven for Recruitment 27th

Candidate Evaluation with Multimodal Data-Driven for Recru...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Wu, Xing Liu, Kehong Wang, Jianjia Yao, Junfeng Deng, Bin Lv, Rongqi Song, Jun School of Computer Engineering and Science Shanghai University Shanghai200444 China Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai200444 China School of AI and Advanced Computing XJTLU Entrepreneur College Xi’an Jiaotong-Liverpool University Suzhou215412 China CSSC Seago System Technology Co. Ltd. Shanghai200010 China Science and Technology on Near-Surface Detection Laboratory Jangsu Wuxi214035 China Department of Geography Hong Kong Baptist University 999077 Hong Kong

ISBN: (纸本)9783031781858

In the field of intelligent recruitment, automated resume matching and non-contact interviews have significantly improved the efficiency of companies in finding suitable candidates. This corresponds to the techniques of person-job matching and AI interviews. However, current person-job matching methods lack substantial data support, while AI interview methods struggle to integrate deep information from multimodal data and provide comprehensive evaluations of candidates’ responses. To address these challenges, we propose a multimodal data-driven person-job evaluation model, comprising two key stages: a person-job matching method based on graph attention and a multimodal AI interview method. Using a dual-perspective graph neural network approach, we accomplish the screening of candidates and positions. In the second stage, we conduct a comprehensive evaluation of candidates’ interview performance based on text, audio, and image modalities, providing a more objective, consistent, and efficient interview assessment method. Experimental results demonstrate that our person-job matching method surpasses current popular techniques and effectively transfers features to the next stage. In our multimodal AI interview method, we achieve accurate scoring of candidate responses, assessment of intonation stress levels, and inference of their Big Five personality traits, comprehensively evaluating candidates from multiple perspectives. This confirms the superiority and efficiency of our approach. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Graph neural networks

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Real-time 3D Single Object Tracking with Transformer

arXiv

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arXiv 2022年

作者： Shan, Jiayao Zhou, Sifan Cui, Yubo Fang, Zheng The Faculty of Robot Science and Engineering Northeastern University Shenyang China Science and Technology on Near-Surface Detection Laboratory Wuxi China

LiDAR-based 3D single object tracking is a challenging issue in robotics and autonomous driving. Currently, existing approaches usually suffer from the problem that objects at long distance often have very sparse or partially-occluded point clouds, which makes the features extracted by the model ambiguous. Ambiguous features will make it hard to locate the target object and finally lead to bad tracking results. To solve this problem, we utilize the powerful Transformer architecture and propose a Point-Track-Transformer (PTT) module for point cloud-based 3D single object tracking task. Specifically, PTT module generates fine-tuned attention features by computing attention weights, which guides the tracker focusing on the important features of the target and improves the tracking ability in complex scenarios. To evaluate our PTT module, we embed PTT into the dominant method and construct a novel 3D SOT tracker named PTT-Net. In PTT-Net, we embed PTT into the voting stage and proposal generation stage, respectively. PTT module in the voting stage could model the interactions among point patches, which learns context-dependent features. Meanwhile, PTT module in the proposal generation stage could capture the contextual information between object and background. We evaluate our PTT-Net on KITTI and NuScenes datasets. Experimental results demonstrate the effectiveness of PTT module and the superiority of PTT-Net, which surpasses the baseline by a noticeable margin, ∼10% in the Car category. Meanwhile, our method also has a significant performance improvement in sparse scenarios. In general, the combination of transformer and tracking pipeline enables our PTT-Net to achieve state-of-the-art performance on both two datasets. Additionally, PTT-Net could run in real-time at 40FPS on NVIDIA 1080Ti GPU. Our code is open-sourced for the research community at https://***/shanjiayao/PTT. © 2022, CC BY.

关键词： Optical radar

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Research on Object detection and Location Using Semantic Segmentation 11th

Research on Object Detection and Location Using Semantic Seg...

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11th International Conference on Green Intelligent Transportation Systems and Safety, 2020

作者： Zhu, Huijie Cai, Yan Guo, Yingchun Feng, Xiang Zhang, Wenya Department of Automation Shanghai Jiao Tong University Shanghai200240 China Science and Technology on Near-Surface Detection Laboratory Wuxi214035 China The 28th Research Institution of China Electronics Technology Group Corporation Nanjing210007 China School of Automation Beijing Information Science and Technology University Beijing100101 India

ISBN: (纸本)9789811654282

Object detection and location generally require multiple sensors and multiple deep networks to achieve. For a specific application scenario, this paper proposes an algorithm based on semantic segmentation to display object detection and location at the same time. Due to the small size of the target in the image, especially the vertex of the target occupies very few pixels, the HRnet semantic segmentation algorithm with higher resolution is adopted. Due to the unbalanced class distribution and the small number of training samples, data augmentation and Lovasz Softmax loss function are used in a targeted manner. After experimental verification, in this data set, HRnet is superior to other algorithms. And by using data augmentation and Lovasz Softmax loss function, the accuracy and IoU have been greatly improved, especially the target vertex area with few samples. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Object detection

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