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arXiv 2024年

作者： Wang, Jintao Ma, Chengzhi Gong, Shiqi Yang, Xi Ma, Shaodan State Key Laboratory of Internet of Things for Smart City The Department of Electrical and Computer Engineering University of Macau China School of Cyberspace Science and Technology Beijing Institute of Technology Beijing100081 China Shanghai Key Laboratory of Multidimensional Information Processing School of Communication and Electronic Engineering East China Normal University Shanghai200241 China

Reconfigurable intelligent surface (RIS) has emerged as a cost-effective solution for green communications in 6G. However, its further extensive use has been greatly limited due to its fully passive characteristics. Considering the appealing distribution gains of distributed antenna systems (DAS), a flexible reconfigurable architecture called reconfigurable distributed antenna and reflecting surface (RDARS) is proposed. RDARS encompasses DAS and RIS as two special cases and maintains the advantages of distributed antennas while reducing the hardware cost by replacing some active antennas with low-cost passive reflecting surfaces. In this paper, we present a RDARS-aided uplink multi-user communication system and investigate the system transmission reliability with the newly proposed architecture. Specifically, in addition to the distribution gain and the reflection gain provided by the connection and reflection modes, respectively, we also consider the dynamic mode switching of each element which introduces an additional degree of freedom (DoF) and thus results in a selection gain. As such, we aim to minimize the total sum mean-square-error (MSE) of all data streams by jointly optimizing the receive beamforming matrix, the reflection phase shifts and the channel-aware placement of elements in the connection mode. To tackle this nonconvex problem with intractable binary and cardinality constraints, we propose an inexact block coordinate descent (BCD) based penalty dual decomposition (PDD) algorithm with the guaranteed convergence. Since the PDD algorithm usually suffers from high computational complexity, a low-complexity greedy-search-based alternating optimization (AO) algorithm is developed to yield a semi-closed-form solution with acceptable performance. Numerical results demonstrate the superiority of the proposed architecture compared to the conventional fully passive RIS or DAS. Furthermore, some insights about the practical implementation of RDARS are provided

关键词： Mean square error

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Object pose and surface material recognition using a single-time-of-flight camera

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Advanced Photonics Nexus 2024年第5期3卷 21-37页

作者： Dongzhao Yang Dong An Tianxu Xu Yiwen Zhang Qiang Wang Zhongqi Pan Yang Yue Xi’an Jiaotong University School of Information and Communications EngineeringXi’anChina Nankai University Institute of Modern OpticsTianjinChina Zhengzhou University School of Electrical and Information EngineeringNational Center for International Joint Research of Electronic Materials and SystemsZhengzhouChina Angle AI(Tianjin)Technology Co.Ltd. TianjinChina University of Louisiana at Lafayette Department of Electrical and Computer EngineeringLafayetteLouisianaUnited States

We propose an approach for recognizing the pose and surface material of diverse objects,leveraging diffuse reflection principles and data *** theoretical analysis and the derivation of factors influencing diffuse reflection on objects,the method concentrates on and exploits surface *** validate the feasibility of our theoretical research,the depth and active infrared intensity data obtained from a single time-of-flight camera are initially ***,these data undergo processing using feature extraction and lightweight machine-learning *** addition,an optimization method is introduced to enhance the fitting of *** experimental results not only visually showcase the effectiveness of our proposed method in accurately detecting the positions and surface materials of targets with varying sizes and spatial locations but also reveal that the vast majority of the sample data can achieve a recognition accuracy of 94.8%or higher.

关键词： data fusion time-of-flight object detection diffuse reflection principles machine learning

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Innovation Strategies for Training Management with STEAM, IoT, and AI through Design Thinking

Innovation Strategies for Training Management with STEAM, Io...

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IEEE Ecuador Technical Chapters Meeting (ETCM)

作者： Yair Rivera Julio Cesar Viloria-Núñez Juan-Fernando Galindo-Jaramillo Angel Pinto Mangones Cristian Camilo Revueltas Correa Computer Science Dept Corporación Universitaria Americana Barranquilla Colombia Electrical and Electronics Eng. Dept Universidad del Norte Barranquilla Colombia School of Engineering FHO - Fundação Hermínio Ometto Araras Brazil Computer Science Dept Universidad del Sinú Montería Colombia Systems Engineering Universidad Cooperativa de Colombia Montería Colombia

ISBN: (数字)9798350391589

ISBN: (纸本)9798350391596

This study addresses the implementation of an innovative learning strategy that integrates the STEAM methodology, the Internet of Things (IoT) and Artificial Intelligence (AI). within the field of robotics teaching, using Design Thinking as a catalyst. It delves into how the combination of these disciplines can enrich engineering education, promoting an interactive, creative and student-centered approach to the development of IoT prototypes. The research highlights the need to adapt curricula to include these advanced technologies, which is essential to train students in creating innovative IoT solutions that respond to the demands of the current and future technological landscape.

关键词： Training Technological innovation Navigation Collaboration Prototypes Transforms Learning (artificial intelligence) Internet of Things Robots Faces

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Terahertz optoacoustics breaking through the limitation of terahertz biomedical applications in living environment

Terahertz optoacoustics breaking through the limitation of t...

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International Conference on Infrared and Millimeter Waves

作者： Yixin Yao Liwen Jiang Jiaxuan Liang Jiao Li Zhen Tian Weili Zhang School of Precision Instruments and Optoelectronics Engineering Tianjin University Tianjin China Center for Terahertz Waves Tianjin University Tianjin China Key Laboratory of Optoelectronics Information and Technology (Ministry of Education) Tianjin China School of Electrical and Computer Engineering Oklahoma State University Stillwater Oklahoma USA

ISBN: (数字)9798350370324

ISBN: (纸本)9798350370331

Radiation at terahertz frequencies can be used to detect biomolecules, however, applying the technique to in-vivo detection of aqueous solutions and water-rich tissues remains challenging since terahertz radiation is strongly absorbed by water. To overcome these limitations, we have developed terahertz optoacoustics to provide a powerful in-vivo method to determine biomolecular concentrations in blood in real time without the need for invasive sampling or chemical labeling.

关键词： Terahertz radiation Molecular biophysics Real-time systems Labeling Chemicals Blood

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Finite Sample Analysis of Subspace Identification Methods

arXiv

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arXiv 2025年

作者： He, Jiabao Ziemann, Ingvar Rojas, Cristian R. Qin, S. Joe Hjalmarsson, Håkan Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm100 44 Sweden University of Pennsylvania PhiladelphiaPA19104 United States Institute of Data Science Lingnan University Hong Kong

As one of the mainstream approaches in system identification, subspace identification methods (SIMs) are known for their simple parameterization for MIMO systems and robust numerical properties. However, a comprehensive statistical analysis of SIMs remains an open problem. Amid renewed focus on identifying state-space models in the non-asymptotic regime, this work presents a finite sample analysis for a large class of open-loop SIMs. It establishes high-probability upper bounds for system matrices obtained via SIMs, and reveals that convergence rates for estimating Markov parameters and system matrices are O(1/√N) up to logarithmic terms, in line with classical asymptotic results. Following the key steps of SIMs, we arrive at the above results by a three-step procedure. In Step 1, we begin with a parsimonious SIM (PARSIM) that uses least-squares regression to estimate multiple high-order ARX models in parallel. Leveraging a recent analysis of an individual ARX model, we obtain a union error bound for a bank of ARX models. Step 2 involves model reduction via weighted singular value decomposition (SVD), where we consider different data-dependent weighting matrices and use robustness results for SVD to obtain error bounds on extended controllability and observability matrices, respectively. The final Step 3 focuses on deriving error bounds for system matrices, where two different realization algorithms, the MOESP type and the Larimore type, are considered. Although our study initially focuses on PARSIM, the methodologies apply broadly across many variants of SIMs. Copyright © 2025, The Authors. All rights reserved.

关键词： MIMO systems

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Enhancement of quantum excitation transport by photonic nonreciprocity

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Physical Review A 2022年第3期106卷 033501-033501页

作者： S. Ali Hassani Gangaraj Lei Ying Francesco Monticone Zongfu Yu Department of Electrical and Computer Engineering University of Wisconsin-Madison Madison Wisconsin 53706 USA Department of Physics Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation and Zhejiang Province Key Laboratory of Quantum Technology and Devices Zhejiang University Hangzhou 310027 China School of Electrical and Computer Engineering Cornell University Ithaca New York 14853 USA

Enhanced interaction between two two-level emitters (e.g., atoms) by nonreciprocal photonic media can be of benefit to broad areas, from quantum information science to biological detection. Here we provide a detailed analysis on why nonreciprocal photon-mediated interaction enhances interatomic excitation transport efficiency. We investigate a system consisting of two two-level emitters embedded in a generic photonic environment. By comparing symmetric and asymmetric photon exchange, we analytically show that breaking electromagnetic reciprocity makes it possible for the cooperative decay rate to exceed the spontaneous decay rate, even in a translation-invariant homogeneous system. This means that the excitation of an emitter must decay mostly into the other emitter rather than leaking and dissipating into the reservoir photonic modes. We also provide an example where a chain of two-level emitters dominantly interacts via the reciprocal modes of a plasmonic waveguide. We then show that breaking reciprocity in such a system via driving a dc current through the plasmonic material can drastically increase the probability of photon emission from one emitter to another, leading to an order-of-magnitude enhancement in quantum energy-transport efficiency.

关键词： Photonics Quantum optics Surface plasmons

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CINFormer: Transformer network with multi-stage CNN feature injection for surface defect segmentation

arXiv

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arXiv 2023年

作者： Jiang, Xiaoheng Guo, Kaiyi Lu, Yang Yan, Feng Liu, Hao Cao, Jiale Xu, Mingliang Tao, Dacheng School of Computer Science and Artificial Intelligence Zhengzhou University Zhengzhou China Engineering Research Center of Intelligent Swarm Systems Ministry of Education Zhengzhou China National Supercomputing Center in Zhengzhou Zhengzhou China School of Electrical and Information Engineering Tianjin University Tianjin China Sydney AI Centre the School of Computer Science Faculty of Engineering The University of Sydney DarlingtonNSW2008 Australia

Surface defect inspection is of great importance for industrial manufacture and production. Though defect inspection methods based on deep learning have made significant progress, there are still some challenges for these methods, such as indistinguishable weak defects and defect-like interference in the background. To address these issues, we propose a transformer network with multi-stage CNN (Convolutional Neural Network) feature injection for surface defect segmentation, which is a UNet-like structure named CINFormer. CINFormer presents a simple yet effective feature integration mechanism that injects the multilevel CNN features of the input image into different stages of the transformer network in the encoder. This can maintain the merit of CNN capturing detailed features and that of transformer depressing noises in the background, which facilitates accurate defect detection. In addition, CINFormer presents a Top-K self-attention module to focus on tokens with more important information about the defects, so as to further reduce the impact of the redundant background. Extensive experiments conducted on the surface defect datasets DAGM 2007, Magnetic tile, and NEU show that the proposed CINFormer achieves state-of-the-art performance in defect detection. Copyright © 2023, The Authors. All rights reserved.

关键词： Surface defects

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Bilateral Teleoperation Control Using Unified Interactive Model for Manipulation in Contact Environment*

Bilateral Teleoperation Control Using Unified Interactive Mo...

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IEEE International Conference on Robotics and Biomimetics

作者： Xiao Yang Fanghao Huang Jason Gu Zheng Chen State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou China Ocean College Zhejiang University Zhoushan China Department of Electrical and Computer Engineering Dalhousie University Halifax Canada Zhejiang Laboratory Hangzhou China

In this paper, a novel bilateral teleoperation control is designed specifically for manipulation in contact environment. Firstly, serval interaction conditions (e.g., free motion and rigid interaction) are defined and unified into one equation as the designed unified interactive model, which can also be utilized as a control objective. Based on this model, a remote hybrid motion/force controller is designed for remote robot, which achieves the good position and force tracking, and ensures the precise and safe contact force that helps reduce the workload of operator. Subsequently, the contact force is reconstructed in the local side by estimating and transmitting the non-power environment coefficient from remote side, which provides the operator with accurate force feedback. Since the coefficient replaces the direct transmission of force signal in the communication channel, the traditional power-cycle problem is essentially avoided, which guarantees the stability of teleoperation system under communication time delays. Comparative experiments are implemented to verify the effectiveness of proposed method for teleoperated manipulation.

关键词：

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Unpaired Quad-Path Cycle Consistent Adversarial Networks for Single Image Defogging

SSRN

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SSRN 2023年

作者： Liu, Wei Chen, Cheng Jiang, Rui Lu, Tao Xiong, Zixiang School of Computer Science and Engineering Wuhan Institute of Technology Wuhan430205 China Hubei Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan430205 China Department of Electrical and Computer Engineering Texas A&M University College StationTX77843 United States

Adversarial learning-based image defogging methods have been extensively studied in computer vision due to their remarkable performance. However, most existing methods have limited defogging capabilities for real cases because they are trained on the paired clear and synthesized foggy images of the same scenes. In addition, they have limitations in preserving vivid color and rich textual details in defogging. To address these issues, we develop a novel generative adversarial network, called quad-path cycle consistent adversarial network (QPC-Net), for single image defogging. QPC-Net consists of a Fog2Fogfree block and a Fogfree2Fog block. In each block, there are three learning-based modules, namely, fog removal, color-texture recovery, and fog synthetic, which sequentially compose dual-path that constrain each other to generate high quality images. Specifically, the color-texture recovery model is designed to exploit the self-similarity of texture and structure information by learning the holistic channel-spatial feature correlations between the foggy image with its several derived images. Moreover, in the fog synthetic module, we utilize the atmospheric scattering model to guide it to improve the generative quality by focusing on an atmospheric light optimization with a novel sky segmentation network. Extensive experiments on both synthetic and real-world datasets show that QPC-Net outperforms state-of-the-art defogging methods in terms of quantitative accuracy and subjective visual quality. © 2023, The Authors. All rights reserved.

关键词： Fog

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Asymptotic stability of continuous-time switched affine systems with unknown equilibrium points*

Asymptotic stability of continuous-time switched affine syst...

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IEEE Conference on Decision and Control

作者： Grace S. Deaecto José C. Geromel João L. N. Brito UNICAMP School of Mechanical Engineering - FEM Brazil UNI-CAMP School of Electrical and Computer Engineering - FEEC Brazil Brazilian Synchrotron Light Laboratory - LNLS Brazil

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

This paper deals with switched affine systems control ensuring asymptotic stability of an unknown equilibrium point. More specifically, our study is focused on the class of systems with the affine term depending linearly on an uncertain vector, which can be used to model input and load variations of dc-dc power converters. The main goal is to design a switching function that governs the state trajectories towards an unknown equilibrium point containing in one of its components the desired value specified by the designer. The other components are adapted in real time based on the uncertainty estimation. The design conditions are solved by a two-steps procedure expressed in terms of linear matrix inequalities, and they do not require any stability property of the individual subsystems. The control design of a dc-dc flyback converter is used for illustration and comparison together with an academic example composed of two third order unstable subsystems.

关键词： Asymptotic stability Buck converters Uncertainty Estimation Switches Load management Stability analysis

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