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SSRN 2024年

作者： Liu, Ruochen Xu, Jiawei Hu, Tianxiang Li, Xiang Wang, Kongxiang Huang, Qi Duan, Zhongtao Liu, Hong Qian, Weifan Zhou, Haiting Cong, Chunxiao Yue, Xiaofei Zhang, Hong Xie, Fengxian Institute for Electric Light Sources School of Information Science and Technology Fudan University Shanghai200438 China Department of Materials Science National Engineering Lab for TFT-LCD Materials and Technologies Fudan University Shanghai200433 China Center for Micro Nano Systems School of Information Science and Technology Fudan University Shanghai200438 China State Key Laboratory of ASIC & System School of Information Science and Technology Fudan University Shanghai200438 China State Key Laboratory of Photovoltaic Science and Technology Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception Institute of Optoelectronics Fudan University Shanghai200438 China

Utilizing textured fluorine-doped tin oxides (FTO) as transparent conductive oxide (TCO) substrates is advantageous for capturing incident light, thereby enhancing the power photoelectric conversion efficiency (PCE) of inverted perovskite solar cells (PSCs). However, the roughness of these substrates and uncontrolled nucleation often results in voids at the perovskite-buried surface, leading to insufficient charge extraction and serving as degradation initiation points. This study introduces (S)-3-amino-4-(4-chlorophenyl)butyric acid hydrochloride (AbaCl), which binds to FTO through its anchor group (–COOH) at the deficient regions of MeO-4PACz. Moreover, the chlorine end molecules offer active sites for nucleation by forming halogen bonds with undercoordinated iodide ions (I–). AbaCl also interacts with formamidinium (FA+) in perovskite precursor solution via hydrogen bonding, promoting crystallization at the buried interface. Consequently, nucleation at this buried interface becomes preferential, ensuring bottom-up growth and preventing voids formation due to incomplete solvent evaporation, allowing the perovskite layer to conformally adhere to the substrate without gaps. As a result, the AbaCl-treated inverted PSCs achieved a champion PCE of 24.5% and exhibited enhanced operational stability. This work presents a method for conformally growing perovskite films on textured substrates to produce efficient and stable PSCs. © 2024, The Authors. All rights reserved.

关键词： Hydrogen bonds

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Communication-Assisted Sensing in 6G Networks

arXiv

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arXiv 2023年

作者： Dong, Fuwang Liu, Fan Lu, Shihang Xiong, Yifeng Zhang, Qixun Feng, Zhiyong Gao, Feifei School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen518055 China School of Information and Electronic Engineering Beijing University of Posts and Telecommunications Beijing100876 China Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications Beijing100876 China Department of Automation Tsinghua University Beijing100876 China

Exploring the mutual benefit and reciprocity of sensing and communication (S&C) functions is fundamental to realizing deeper integration for integrated sensing and communication (ISAC) systems. This paper investigates a novel communication-assisted sensing (CAS) system within 6G perceptive networks, where the base station actively senses the targets through device-free wireless sensing and simultaneously transmits the estimated information to end-users. In such a CAS system, we first establish an optimal waveform design framework based on the rate-distortion (RD) and source-channel separation (SCT) theorems. After analyzing the relationships between the sensing distortion, coding rate, and communication channel capacity, we propose two distinct waveform design strategies in the scenario of target impulse response estimation. In the separated S&C waveforms scheme, we equivalently transform the original problem into a power allocation problem and develop a low-complexity one-dimensional search algorithm, shedding light on a notable power allocation tradeoff between the S&C waveform. In the dual-functional waveform scheme, we conceive a heuristic mutual information optimization algorithm for the general case, alongside a modified gradient projection algorithm tailored for the scenarios with independent sensing sub-channels. Additionally, we identify the presence of both subspace tradeoff and water-filling tradeoff in this scheme. Finally, we validate the effectiveness of the proposed algorithms through numerical simulations. Copyright © 2023, The Authors. All rights reserved.

关键词： Optimization

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Adaptive Estimation for Environmental Monitoring Using an Autonomous Underwater Vehicle

Adaptive Estimation for Environmental Monitoring Using an Au...

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IEEE Conference on Decision and Control

作者： Ziwen Yang Joana Fonseca Shanying Zhu Cailian Chen Xinping Guan Karl H. Johansson Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Digital Futures

This paper considers the problem of monitoring and adaptively estimating an environmental field, such as temperature or salinity, using an autonomous underwater vehicle (AUV). The AUV moves in the field and persistently measures environmental scalars and its position in its local coordinate frame. The environmental scalars are approximately linearly distributed over the region of interest, and an adaptive estimator is designed to estimate the gradient. By orthogonal decomposition of the velocity of the AUV, a linear time-varying system is equivalently constructed, and the sufficient conditions on the motion of the AUV are established, under which the global exponential stability of the estimation error system is rigorously proved. Furthermore, an estimate of the exponential convergence rate is given, and a reference trajectory that maximizes the estimate of the convergence rate is obtained for the AUV to track. Numerical examples verify the stability and efficiency of the system.

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FFPA-Net: Efficient Feature Fusion with Projection Awareness for 3D Object Detection

arXiv

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arXiv 2022年

作者： Jiang, Chaokang Wang, Guangming Wu, Jinxing Miao, Yanzi Wang, Hesheng Engineering Research Center of Intelligent Control for Underground Space Ministry of Education School of Information and Control Engineering Advanced Robotics Research Center China University of Mining and Technology Xuzhou221116 China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai200240 China The Department of Engineering Mechanics Shanghai Jiao Tong University Shanghai200240 China

Promising complementarity exists between the texture features of color images and the geometric information of LiDAR point clouds. However, there still present many challenges for efficient and robust feature fusion in the field of 3D object detection. In this paper, first, unstructured 3D point clouds are filled in the 2D plane and 3D point cloud features are extracted faster using projection-aware convolution layers. Further, the corresponding indexes between different sensor signals are established in advance in the data preprocessing, which enables faster cross-modal feature fusion. To address LiDAR points and image pixels misalignment problems, two new plug- and-play fusion modules, LiCamFuse and BiLiCamFuse, are proposed. In LiCamFuse, soft query weights with perceiving the Euclidean distance of bimodal features are proposed. In BiLiCamFuse, the fusion module with dual attention is proposed to deeply correlate the geometric and textural features of the scene. The quantitative results on the KITTI dataset demonstrate that the proposed method achieves better feature-level fusion. In addition, the proposed network shows a shorter running time compared to existing methods. Copyright © 2022, The Authors. All rights reserved.

关键词： Object detection

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Self-Organized Criticality in C. Elegans Neural Network

Self-Organized Criticality in C. Elegans Neural Network

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Chinese Control Conference (CCC)

作者： Xiao Gu Jian Liu Ye Yuan Peng Zhao Kuankuan Xin Tao Fang Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China Shanghai Engineering Research Centre of Intelligent Control and Management Shanghai China Institute of Machine Intelligence University of Shanghai for Science and Technology Shanghai China Queensland Brain Institute The University of Queensland Brisbane QLD Australia

The self-organized criticality is a fundamental property for organisms to perform normal functional activities. Extensive large-scale biological neural network researches have found the existence of self-organized criticality through avalanche phenomenon, which is typical characteristic of self-organized criticality. However, such research method is not suitable for small-scale biological neural network, because number of neurons in small-scale biological neural network is not large enough to support the emergence of avalanche phenomenon. It has been demonstrated that branching parameter can also be used to describe the propagation of activity in the neural network. Here, in this paper, the C. elegans neural network composed of 302 neurons is selected to investigate the existence of self-organized criticality using branching parameter. Based on the obtained connectome of C. elegans, a directed graph model is constructed to simulate the gradient potential of neurons and the activity of C. elegans, then, the existence of self-organized criticality in the neural network of C. elegans is proved by using branching parameter method. Meanwhile, the result is further confirmed by analyzing the calcium activity data of C. elegans obtained from biological experiments.

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Design of circularly polarized phosphorescence materials guided by transfer learning

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Nature communications 2025年第1期16卷 4970页

作者： Xu Liu Yihan Zhang Yifan Xie Ledu Wang Liyu Gan Jialei Li Jiahe Li Hongli Zhang Linjiang Chen Weiwei Shang Jun Jiang Gang Zou State Key Laboratory of Precision and Intelligent Chemistry School of Chemistry and Materials Science University of Science and Technology of China Hefei Anhui China. State Key Laboratory of Precision and Intelligent Chemistry Department of Automation University of Science and Technology of China Hefei Anhui China. State Key Laboratory of Precision and Intelligent Chemistry Department of Automation University of Science and Technology of China Hefei Anhui China. wwshang@***. State Key Laboratory of Precision and Intelligent Chemistry School of Chemistry and Materials Science University of Science and Technology of China Hefei Anhui China. jiangj1@***. State Key Laboratory of Precision and Intelligent Chemistry School of Chemistry and Materials Science University of Science and Technology of China Hefei Anhui China. gangzou@***.

It is highly desirable that artificial circularly polarized phosphorescent materials with high luminescence asymmetry factor (g), narrowband emission and tunable chiral phosphorescent performance can be constructed. Especially, precise control and simultaneous independent switching of circularly polarized fluorescent and phosphorescent performance for the same molecules remain a formidable challenge. Herein, we propose a strategy to customized design of circularly polarized phosphorescent materials based on large language models and transfer learning methods, which not only enables efficient identification of suitable synthesis precursors, but also provides valuable guidance for experimental procedures. We demonstrate the significant advantages of transfer learning with limited chemical data, and precisely fabricate films with high g (1.86), narrow full-width at half-maximum (49 nm) and customized circularly polarized phosphorescent performance with targeted spectral position. The inverse customization of materials with user-specified circularly polarized fluorescent/phosphorescent performance can be achieved, favoring their application in multicolor display and multidimensional information encryption.

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Reconfigurable logic circuits and rectifier based on two-terminal ionic homojunctions

引用

Device 2025年第5期3卷

作者： Zhong, Zhipeng Cheng, Xin Song, Wenqing Yang, Qianyi Li, Xiang Wang, Yuyang Wang, Wan Zhuang, Yezhao Chen, Yan Shi, Wu Lin, Tie Meng, Xiangjian Huang, Hai Wang, Jianlu Chu, Junhao State Key Laboratory of Photovoltaic Science and Technology Shanghai Frontiers Science Research Base of Intelligent Optoelectronic and Perception Institute of Optoelectronics and Department of Material Science Fudan University Shanghai 200433 China Zhangjiang Fudan International Innovation Center Fudan University Shanghai 201210 China State Key Laboratory of Surface Physics and Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai 200433 China State Key Laboratory of Infrared Physics Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai 200083 China Frontier Institute of Chip and System Fudan University Shanghai 200433 China

Reconfigurable logic devices that can perform multiple functions with fewer components offer a solution for increasing data processing demands. Achieving reconfigurability without complex designs, however, remains challenging. In this study, we present a two-terminal reconfigurable homojunction device based on ionic-conducting CuInP₂S₆ (CIPS). The device achieves tunable and reversible rectification by controlling Cu migration under an electric field. The homojunction is formed by modulating the contact potential of the CIPS channel, resulting in an asymmetric contact barrier. The resulting device has a rectification ratio of up to 4 × 10⁴, an ultra-low leakage current (∼100 fA), and a high breakdown voltage of 170 V, maintaining read stability over 3,000 cycles. It operates at frequencies up to 10 kHz and can be reconfigured as OR and AND logic states depending on the Cu migration direction of the CIPS homojunction. © 2025 The Author(s)

关键词： copper indium thiophosphate DTI-2: Explore ionic conductor photovoltaic reconfigurable homojunction

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Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection

Augmented Box Replay: Overcoming Foreground Shift for Increm...

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International Conference on Computer Vision (ICCV)

作者： Yuyang Liu Yang Cong Dipam Goswami Xialei Liu Joost van de Weijer State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences University of Chinese Academy of Sciences South China University of Technology Computer Vision Center Barcelona VCIP CS Nankai University Department of Computer Science Universitat Autònoma de Barcelona

In incremental learning, replaying stored samples from previous tasks together with current task samples is one of the most efficient approaches to address catastrophic forgetting. However, unlike incremental classification, image replay has not been successfully applied to incremental object detection (IOD). In this paper, we identify the overlooked problem of foreground shift as the main reason for this. Foreground shift only occurs when replaying images of previous tasks and refers to the fact that their background might contain foreground objects of the current task. To overcome this problem, a novel and efficient Augmented Box Replay (ABR) method is developed that only stores and replays foreground objects and thereby circumvents the foreground shift problem. In addition, we propose an innovative Attentive RoI Distillation loss that uses spatial attention from region-of-interest (RoI) features to constrain current model to focus on the most important information from old model. ABR significantly reduces forgetting of previous classes while maintaining high plasticity in current classes. Moreover, it considerably reduces the storage requirements when compared to standard image replay. Comprehensive experiments on Pascal-VOC and COCO datasets support the state-of-the-art performance of our model 1 .

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Simulation platform for autonomous aerial manipulation in dynamic environments

arXiv

引用

arXiv 2021年

作者： Quan, Fengyu Huang, Huisheng Zeng, Hongjie Chen, Haoyao Liu, Yunhui Department of Mechanical Engineering and Automation in Harbin Institute of Technology Shenzhen State Key Laboratory of Robotics and System China Department of Mechanical and Automation Engineering Chinese University of Hong Kong Hong Kong

The aerial manipulator (AM) is a systematic operational robotic platform in high standard on algorithm robustness. Directly deploying the algorithms to the practical system will take numerous trial and error costs and even cause destructive results. In this paper, a new modular simulation platform is designed to evaluate aerial manipulation related algorithms before deploying. In addition, to realize a fully autonomous aerial grasping, a series of algorithm modules consisting a complete workflow are designed and integrated in the simulation platform, including perception, planning and control modules. This framework empowers the AM to autonomously grasp remote targets without colliding with surrounding obstacles relying only on on-board sensors. Benefiting from its modular design, this software architecture can be easily extended with additional algorithms. Finally, several simulations are performed to verify the effectiveness of the proposed system. Copyright © 2021, The Authors. All rights reserved.

关键词： Antennas

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Road Surface Condition Recognition Based on Visual Information Fusion

Road Surface Condition Recognition Based on Visual Informati...

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Chinese automation Congress (CAC)

作者： Qingyuan Zhu Tao Wei Yijie Zhou Kai Tan Yunlong Gao Guifang Shao Zhichao Li College of Transportation and Navigation Quanzhou Normal University Pen-Tung Sah Institute of Micro-Nano Science and Technology Xiamen University Xiamen China State Key Laboratory of Intelligent Agricultural Power Equipment Henan China School of Electronic Science and Engineering Xiamen University Xiamen China Department of Automation Xiamen University Xiamen China Pen-Tung Sah Institute of Micro-Nana Science and Technology Xiamen University Xiamen China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

To address the problem of lower classification accuracy in current road surface condition recognition methods for both daytime and nighttime, this paper proposes an end-to-end deep learning model. Which integrates RGB and Near Infrared (NIR) dual-channel visual information for autonomous road surface condition classification. The collected image data is first augmented to mitigate the effects of model overfitting. A lightweight network based on ConvNeXt-Tiny is designed to extract basic features from RGB and NIR images, respectively. A feature fusion module based on Feature Pyramid Network (FPN) is designed to fuse hierarchical features, which are then classified together with the basic features using fully connected layers. Comparative experiments with MBFN and ablative studies demonstrate the effectiveness of the proposed network model and feature fusion module.

关键词： Deep learning Visualization Image recognition Roads Snow Feature extraction Data models Ice Overfitting Meteorology

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