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Numerical study of nanochannel on a silicon-silver dimer gap for significantly enhanced fluorescence

Results in Physics 2024年 62卷

作者： Wang, Qiang Chen, Zhihui Gu, Zhiyuan Li, Lingqiao Guo, Deyi Shi, Baopeng Wang, Yang Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan 030024 China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Physics Taiyuan University of Technology Taiyuan 030024 China Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education Institute of Biotechnology Shanxi University Taiyuan 030006 China

The metal-dielectric dimer is an ideal structure for enhancing single-molecule fluorescence. When a single-molecule interacts with the metal-dielectric dimer, the metal-dielectric plasmonic system creates strong resonance, which amplifies the electric field by several orders of magnitude. One-dimensional photonic crystals (1D PCs) provide a photonic bandgap (PBG) and nearly perfect reflection for specific wavelengths. These phenomena contribute significantly to fluorescence enhancement. Herein, we propose the structure of 1D PCs with a silicon-silver dimer to achieve remarkable fluorescence enhancement under numerical study. Specifically, our design involves a 20 nm gapped silicon-silver dimer with a 50 nm nanochannel positioned above it. Through the optimization of structural parameters, our results demonstrate that quantum dots with a high intrinsic quantum yield, such as 100 %, are capable of achieving a fluorescence directional emission enhancement of up to three orders of magnitude compared to the bare structure, with an average enhancement factor reaching 407-fold. These findings stand for the unique sensitivity of the device, making it a promising choice for applications in biological nanoparticle detection, environmental monitoring, and other fields in the future. © 2024

关键词： Localized surface plasmon resonance (LSPR) Resonant cavity Silicon-silver dimer Ultra-high fluorescence enhancement

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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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Semantic and Emotional Dual Channel for Emotion Recognition in Conversation

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IEEE Transactions on Affective Computing 2025年

作者： Yang, Zhenyu Zhang, Zhibo Cheng, Yuhu Zhang, Tong Wang, Xuesong Jinan250353 China Shandong Engineering Research Center of Big Data Applied Technology Faculty of Computer Science and Technology Jinan250353 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Industrial Network and Information System Security Jinan250353 China China University of Mining and Technology Engineering Research Center of Intelligent Control for Underground Space Ministry of Education Xuzhou Key Laboratory of Artificial Intelligence and Big Data School of Information and Control Engineering Xuzhou221116 China South China University of Technology Guangdong Provincial Key Laboratory of Computational Intelligence and Cyberspace Information School of Computer Science and Engineering Guangzhou510006 China Pazhou Lab Guangzhou510335 China Engineering Research Center Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human Guangzhou China

Emotion recognition in conversation (ERC) aims at accurately identifying emotional states expressed in conversational content. Existing ERC methods, although relying on semantic understanding, often encounter challenges when confronted with incomplete or misleading semantic information. In addition, when dealing with the interaction between emotional and semantic information, existing methods are often difficult to effectively distinguish the complex relationship between the two, which affects the accuracy of emotion recognition. To address the problems of semantic misdirection and emotional cross-talk encountered by traditional models when confronted with complex conversational data, we propose a semantic and emotional dual channel (SEDC) strategy for emotion recognition in conversations to process emotional and semantic information independently. Under this strategy, emotion information provides an auxiliary recognition function when the semantics are unclear or lacking, enhancing the accuracy of the model. Our model consists of two modules: the emotion processing module accurately captures the emotional features of each utterance through contrastive learning, and then constructs a dialogue emotion propagation map to simulate the emotional information conveyed in the dialogue;the semantic processing module combines an external knowledge base to enhance the semantic expression of the dialogue through knowledge enhancement strategies. This divide-and-conquer approach allows us to more deeply analyze the emotional and semantic dimensions of complex dialogues. Experimental results on the IEMOCAP, EmoryNLP, MELD, and DailyDialog datasets show that our approach significantly outperforms existing techniques and effectively improves the accuracy of dialogue emotion recognition. Our code is available at https://***/r/SEDC-FCF1. © 2010-2012 IEEE.

关键词： Contrastive Learning

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Self-supervised Multi-frame Monocular Depth Estimation with Pseudo-LiDAR Pose Enhancement

Self-supervised Multi-frame Monocular Depth Estimation with ...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Wenhua Wu Guangming Wang Jiquan Zhong Hesheng Wang Zhe Liu MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai 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 Insititute of Medical Robotics Shanghai Jiao Tong University Shanghai China

Depth estimation is one of the most important tasks in scene understanding. In the existing joint self-supervised learning approaches of depth-pose estimation, depth estimation and pose estimation networks are independent of each other. They only use the adjacent image frames for pose estimation and lack the use of the estimated geometric information. To enhance the depth-pose association, we propose a monocular multi-frame unsupervised depth estimation framework, named PLPE-Depth. There are a depth estimation network and two pose estimation networks with image input and pseudo-LiDAR input. The main idea of our approach is to use the pseudo-LiDAR reconstructed from the depth map to estimate the pose of adjacent frames. We propose depth re-estimation with a better pose between the image pose and the pseudo-LiDAR pose to improve the accuracy of estimation. Besides, we improve the reconstruction loss and design a pseudo-LiDAR pose enhancement loss to facilitate the joint learning. Our approach enhances the use of the estimated depth information and strengthens the coupling between depth estimation and pose estimation. Experiments on the KITTI dataset show that our depth estimation achieves state-of-the-art performance at low resolution. Our source codes will be released on https://***/IRMVlabIPLPE-Depth.

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Tuning the photocatalytic water-splitting performance with the adjustment of diameter in an armchair WSSe nanotube

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Journal of Energy Chemistry 2021年第10期30卷 228-235,I0007页

作者： Lin Ju Penglan Liu Yifan Yang Liran Shi Gui Yang Li Sun School of Physics and Electric Engineering Anyang Normal UniversityAnyang 455000HenanChina School of Mechanical Medical and Process EngineeringQueensland University of TechnologyGardens Point CampusQLD 4001BrisbaneAustralia School of Electronic and Information Engineering Liaoning Technical UniversityHuludao 125105LiaoningChina Key Lab of Advanced Transducers and Intelligent Control System Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024ShanxiChina

Due to the enigmatical electrostatic potential difference between the inside and outside layers,the relationship between the diameter and the photocatalytic property of the Janus transition metal dichalcogenides nanotube is still *** this job,for the first time we calculate the electrostatic potential difference of the Janus WSSe armchair nanotubes with corresponding building block models through the first principles *** electrostatic potential difference increases as the diameter ***,it is observed that the WSSe armchair nanotubes with smaller diameter have stronger oxidation capacity,weaker reduction capacity,and higher solar-to-hydrogen conversion ***,the diminution of diameter could make the band gap drop,and even cause a direct-indirect transformation of band *** adjustment of diameter could also regulate the ability of adsorbing water molecules at the insider and outside ***,the suitable band edge positions,wide optical absorbance region(to the near-infrared),outstanding solar-to-hydrogen efficiency(up to 28.99%),high carrier separation,adequate photoexcited carrier driving forces,as well as the energetic and thermal stability,render these nanotubes befitting the photocata lytic water-splitting *** study not only predicts a kind of ideal water-splitting photocatalyst,but also shows an effective way to improve their photocatalytic performances.

关键词： Photocatalysis Water-splitting Janus TMD nanotube Density functional theory calculations

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Subsynchronous Oscillation Analysis Using Multisynchrosqueezing Transform and Dissipating Energy Flow Method

Subsynchronous Oscillation Analysis Using Multisynchrosqueez...

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作者： Ma, Yue Huang, Qi Gooi, Hoay Beng Zhang, Zhenyuan Yang, Xiaomei Wang, Yang University of Electronic Science and Technology of China Provincial Key Lab of Power System Wide-Area Measurement and Control School of Mechanical and Electrical Engineering Chengdu611731 China Chengdu University of Technology College of Energy Chengdu610054 China School of Electrical and Electronic Engineering Singapore639798 Singapore Sichuan University College of Electrical Engineering Chengdu610065 China

With a high proportion of new energy and power electronic equipment connected to the modern power system, a new type of subsynchronous oscillation (SSO) is triggered, which affects the safe and stable operation of the system. Accurate analysis and identification of the SSO source becomes the key to studying this problem. This article presents a novel method to analyze SSOs. First, multisynchrosqueezing transform is applied to the signal to get the concentrated time-frequency analysis results. Then, the ridge tracking method is utilized to identify and reconstruct the subsynchronous component signals. The method of dissipating energy flow is applied to locate the source and sink of the SSO in the subsynchronous component signals. The performances of the proposed method are verified using electromagnetic transient simulations in a three-wind farms system and a modified IEEE 10-generator 39-bus New England power system. © 1972-2012 IEEE.

关键词： Phasor measurement units

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Local buckling of stainless steel stub columns with novel octagonal hollow sections

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engineering Structures 2025年 338卷

作者： Zhong, Yukai Jiang, Ke Chen, Man-Tai Su, Andi Zhao, Ou Research Center for Wind Engineering and Engineering Vibration Guangzhou University Guangzhou China School of Civil and Environmental Engineering Nanyang Technological University Singapore Department of Civil and Natural Resources Engineering University of Canterbury Christchurch New Zealand State Key Laboratory of Ocean Engineering Shanghai Jiao Tong University Shanghai200240 China Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure Department of Civil Engineering Shanghai Jiao Tong University Shanghai200240 China Key Lab of Structures Dynamic Behaviour and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China

Octagonal hollow section, a novel type of polygonal hollow sections, combines the advantages of traditional circular and rectangular hollow sections while mitigating their limitations, with higher load-carrying capacities over rectangular hollow sections due to smaller plate element widths and better constructability over circular hollow sections owing to multiple flat faces providing operation platforms for welded and bolted connections. The present paper reports experimental and numerical studies on the local buckling behaviour of stainless steel octagonal hollow sections under axial compression. The testing programme included axial compression tests on fifteen stainless steel octagonal hollow section stub column specimens with five different outer cross-section dimensions and three different wall thicknesses, as well as tensile coupon tests and initial local geometric imperfection measurements. In parallel with the testing programme, a numerical modelling programme was carried out, with finite element models developed and validated against the test results and afterwards adopted to carry out parametric studies. The test and numerical data were used to evaluate the applicability of relevant design rules, as specified in the European code, American specification and ASCE standard, to stainless steel octagonal hollow sections. The evaluation results generally revealed that (i) the three sets of codified slenderness limits were unsafe when used for cross-section classification of stainless steel hexagonal hollow sections, (ii) the European code and American specification resulted in overall accurate and consistent cross-section compression resistance predictions for stainless steel octagonal hollow sections, but still with some overly conservative predictions for non-slender cross-sections and slightly unsafe predictions for those at the boundary of non-slender and slender cross-sections, and (iii) the ASCE standard provided overall scattered and inaccurate cross-sec

关键词： Welding codes

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Reliable 2−∞ state estimation for delayed neural networks under weighted try-one-discard protocol

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Neurocomputing 2025年 635卷

作者： Luo, Yuqiang Guo, Siyu Zhao, Di Lin, Hong Informatization Office University of Shanghai for Science and Technology Shanghai200093 China Shanghai Key Lab of Modern Optical System Department of Control Science and Engineering University of Shanghai for Science and Technology Shanghai200093 China Department of Control Science and Engineering University of Shanghai for Science and Technology Shanghai200093 China Business School University of Shanghai for Science and Technology Shanghai200093 China Institute of Intelligence Science and Engineering Shenzhen Polytechnic University Shenzhen518055 China

In this paper, the problem of reliable 2-∞ state estimation is addressed for discrete-time artificial neural networks with switched time-delays under weighted try-once-discard (WTOD) protocol. To mitigate data congestion and transmission burdens, the WTOD protocol is implemented in the transmission channels to optimize data communication, where the transmission priority is dynamically determined based on mission importance. A Bernoulli-distributed stochastic variable with known statistical properties is introduced to model the switching behavior between the presence and absence of time-delays and a failure matrix is constructed to characterize potential failures affecting the received measurement data. The primary objective of this paper is to develop a state estimator that effectively performs the desired estimation task by thoroughly accounting for the combined effects of switched time-delays and the WTOD protocol. Specifically, by utilizing Lyapunov theory and matrix inequality techniques, the estimator parameters are meticulously derived to ensure exponentially mean-square stability and 2-∞ performance. Finally, the efficacy and validity of the proposed algorithm are demonstrated through an illustrative example. © 2025 Elsevier B.V.

关键词： Stochastic systems

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Small-Target Infrastructure Detection with Spatial Tracking and Multi-Level Feature Extraction of Railway Track Scenes

Small-Target Infrastructure Detection with Spatial Tracking ...

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Intelligent Communication, Sensing and Electromagnetics (ICSE), International Conference on

作者： Heng Du Huaiming Cang Yiwen Bai Xinyi Wang Beijing Elephant Technology Co. Ltd Beijing China School of Transportation Science and Engineering Beihang University Beijing China The State Key Lab of Intelligent Transportation System Beijing China Tianjin Key Laboratory for Advanced Mechanical System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology) Tianjin China

ISBN: (数字)9798350354935

ISBN: (纸本)9798350354942

In the field of railway transportation, with the continuous improvement of train running speed and the continuous increase of operating mileage, it becomes particularly important to ensure the safety and integrity of small-target infrastructure along the railway train. Although many small-target detection methods have been proposed, the research on small-target infrastructure detection along rail trains is very rare. To solve this problem, this paper proposes a small-target infrastructure detection network with spatial tracking and multi-level feature extraction based on Yolov8n. The experimental results show that ST-YOLO has a 3.6% mAP improvement on the OSDaR23 dataset compared to the baseline Yolov8n, and shows significant advantages over other state-of-the-art methods.

关键词： Rails Transportation Railway safety Switches Feature extraction Rail transportation Real-time systems Sensors Safety Monitoring

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An approach on a balance for a small humanoid robot by using movable mass 6th

An approach on a balance for a small humanoid robot by using...

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6th International Conference on Advanced engineering Theory and Applications, AETA 2019

作者： Nguyen, Xuan Tien Nguyen, Huy Hung Nguyen, Trong Hai Nguyen, Tan Tien Nguyen, Thanh Phuong Faculty of Electric and Electronic Communication Engineering Sai Gon University Ho Chi Minh City Viet Nam Key Lab of Digital Control and System Engineering University of Technology VNU-HCM Ho Chi Minh City Viet Nam Faculty of Mechanical and Electrical Electronic HUTECH Ho Chi Minh City Viet Nam

ISBN: (纸本)9783030530204

In this paper, an approach on a balance for a small humanoid robot by using movable mass. A standard humanoid robot can stand stably when its center of mass (CoM) is in a zero moment point (ZMP) zone. However, CoM’s robot can go out the ZMP zone when the robot moves. To overcome this issues, a movable mass is added in the robot at the abdomen to balance. By controlling position of the movable mass, CoM’s robot can be kept in the ZMP zone when it moves. Simulation results show effectiveness of the proposed method. © Springer Nature Switzerland AG 2021.

关键词： Anthropomorphic robots

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