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Massive GaN micro-LED array based underwater wireless optical communication

Optics Express 2025年第9期33卷 19527-19534页

作者： Lv, Zhijian Liu, Xinyi Wu, Shuang Zhang, Wenwei Yue, C. Patrick Liu, Zhaojun Sino-German College of Intelligent Manufacturing Shenzhen Technology University Shenzhen China Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen China State Key Laboratory of Advanced Displays and Optoelectronics Technologies The Integrated Circuit Design Center Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

High-speed underwater wireless optical communication technology is a much-needed communication technology in current underwater applications, and micro-LED is a promising light source option. Considering the limitation of transmission distance due to the low optical power of a single micro-LED pixel, an underwater wireless optical communication system based on a novel massive GaN micro-LED array includes more than 5000 pixels fabricated via flip-chip technology is proposed, which can achieve 165-Mbps and 90-Mbps at 37.7 m and 73.5 m, respectively. Therefore, the feasibility of realizing a high data rate and long transmission distance in an underwater wireless optical communication system based on a novel massive micro-LED array is confirmed. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Fiber to the x

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Coverage optimization in wireless sensor network based on multi-strategy dung beetle optimization algorithm

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Evolutionary Intelligence 2025年第3期18卷 1-23页

作者： Chen, Zhilan Cheng, Jiatang He, Meng Key Laboratory of Advanced Manufacturing and Automation Technology (Guilin University of Technology) Education Department of Guangxi Zhuang Autonomous Region Guilin China College of Mechanical and Control Engineering Guilin University of Technology Guilin China

Wireless sensor network (WSN), composed of numerous distributed sensor nodes, is widely used across various fields but faces several challenges, with coverage optimization being one of the most critical. The size of the node coverage area directly impacts network performance. To address this issue, a multi-strategy dung beetle optimization algorithm (MsDBO) is proposed to optimize coverage in two-dimensional and three-dimensional regions. In MsDBO, to maximize the effectiveness of rolling ball beetles, the proportion of rolling ball beetles is dynamically changed. Optimal boundary control strategy effectively utilizes relevant positional information to ensure that the search capability of the algorithm is not affected by boundary constraints. Additionally, a random number is employed to change the inertia factor. Finally, to enhance the capability of the algorithm to escape local optima, the current solution, optimal solution, and position of randomly selected are integrated to generate a new solution. Subsequently, compared with other algorithms on the CEC2017 and CEC2022 test sets, the performance of the algorithm is evaluated in both two-dimensional and three-dimensional WSN scenarios. The results indicate that the maximum average coverage of MsDBO in 2D and 3D scenes can reach 96.97% and 77.7%, respectively.

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RGB-D visual saliency detection of stacked fruits under poor lighting

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International Journal of Agricultural and Biological Engineering 2025年第1期18卷 230-237页

作者： Chunjian Hua Xintong Zou Yi Jiang Jianfeng Yu Ying Chen School of Mechanical Engineering Jiangnan UniversityWuxi 214122JiangsuChina Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment&Technology Jiangnan UniversityWuxi 214122JiangsuChina School of Internet of Things Engineer Jiangnan UniversityWuxi 214122JiangsuChina

The saliency detection of the same kind of stacked fruits can assist robots in completing sorting tasks,which is an important prerequisite for the grading and packing of *** order to accurately obtain saliency targets of fruits in the same kind of stacked state under overexposure,non-uniform illumination,and low illumination,a method for detecting stacked fruits under poor illumination based on RGB-D visual saliency was *** on the Res2Net network,features from each layer of two images were *** realize the complementary advantages between RGB features and depth features,the input RGB images were preprocessed using depth weighting to obtain purified RGB *** increase the information interaction between branches of different scales and better balance the fusion features and modal exclusive features,a multi-scale progressive fusion module was *** minimize the difference between the initial saliency maps generated by different features and improve the accuracy of the final predicted saliency maps,a multi-branch hybrid supervised method was *** comprehensive experiments on the self-made dataset of the same kind of stacked fruits show that the proposed algorithm is superior to five state-of-the-art RGB-D SOD methods in four key indicators:S value,F value,and MAE value,which are 0.979,0.992,and 0.006,respectively,and the P-R curve,which is also closer to the upper right corner of the *** values demonstrate that the proposed algorithm can accurately obtain saliency targets in the same kind of stacked *** results of this study can promote the automatic development of the fruit production and packaging industry.

关键词： RGB-D salient object detection multi-branch fusion depth weighting mixed supervision same kind of stacked fruits

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Discrete natural logarithmic barrier function-based prescribed performance backstepping control for MEMS resonator

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Communications in Nonlinear Science and Numerical Simulation 2025年 148卷

作者： Zhao, Le Yang, Guanci Li, Yang Luo, Kexin Zhang, Junxing He, Ling Key Laboratory of Advanced Manufacturing Technology of the Ministry of Education Guizhou University Guiyang550025 China

The prescribed performance control is able to optimize both the transient and static performance of the controlled object by pre-set performance indicators, thereby ensuring that the output error remains within a predetermined small range despite any interference or uncertainty within the system. Considering this, aiming at the discrete micro-electromechanical system (MEMS) resonator, we design a discrete natural logarithmic barrier function-based prescribed performance backstepping controller. Among them, firstly, the discrete interval type-3 fuzzy logic system (IT3FLS) and discrete tracking differentiator are constructed to approximate the virtual control input and unknown nonlinear function. Secondly, a prescribed performance adaptive fuzzy backstepping controller based on the constructed discrete natural logarithmic barrier function is designed to constrain the output errors of the system, and enhance transient and static performances of the controller. Then, a discrete event-triggered mechanism based on the switch threshold is constructed and integrated into the designed controller to release unnecessary resource occupation and controller computational burden on the premise of ensuring tracking accuracy. Furthermore, through the mean-square stability criterion, we demonstrate that all signals of this system are exponentially mean-square stable, and tracking errors fall within the prescribed constraint region. Finally, simulation and comparative experiment results display that the designed controller performs well in the transient performance, static performance and robustness. © 2025 Elsevier B.V.

关键词： Stability criteria

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Distributed Adaptive Tracking Control for Fuzzy Nonlinear MASs Under Round-Robin Protocol

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IEEE Transactions on Fuzzy Systems 2025年第5期33卷 1488-1498页

作者： Fan, Sha Meng, Min Fu, Yukai Deng, Chao Nanjing University of Posts and Telecommunications College of Automation College of Artificial Intelligence Nanjing210023 China Tongji University Department of Control Science and Engineering College of Electronics and Information Engineering Shanghai200070 China Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang Institute of Automation Shenyang110016 China Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang110016 China Nanjing University of Posts and Telecommunications Institute of Advanced Technology Nanjing210049 China

In this article, the cooperative fuzzy tracking control problem for a type of high-order nonlinear multi-agent systems under the Round-Robin (RR) communication protocol is solved. To effectively reduce the communication among agents, an RR communication protocol is first proposed, where each agent can communicate with only one neighbor at any given time. Based on the developed communication protocol, a hierarchical control approach is introduced, consisting of a distributed observer layer that utilizes information from both local and neighboring agents, and a decentralized control layer that operates solely based on local agent information. Specifically, a distributed observer is designed in the distributed observer layer to achieve the distributed observation objective by introducing a time-varying gain in the observer input. Furthermore, an improved distributed observer with the upper triangular form is constructed to produce a signal with high-order derivatives. In the decentralized control layer, fuzzy adaptive controllers are designed for all agents by using the backstepping technique. By using the Lyapunov stability theory, rigorous stability analysis shows that the cooperative fuzzy tracking control problem is solved under the developed hierarchical control approach. In the end, a simulation example is presented to demonstrate the validity of our proposed method. © 1993-2012 IEEE.

关键词： Protocols Observers Stability analysis Decentralized control Backstepping Vectors Symmetric matrices Network topology Telecommunications System dynamics

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Research on Real-Time Inspection Scheme of Tunnel Lining Surface Defects Based on YOLOv10

Research on Real-Time Inspection Scheme of Tunnel Lining Sur...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Fang, Enquan Li, Shijiao Liu, Zhen Wang, Yaodong Tao, Tao Guangzhou Metro Group Co. Ltd. Guangzhou510330 China State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong University Beijing China Ministry of Education Key Laboratory of Vehicle Advanced Manufacturing Measuring and Control Technology Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9789819639687

To address the issue of increasing tunnel surface defects due to prolonged service periods. This paper proposes an online recognition method using the YOLOv10 object detection algorithm for identifying tunnel surface conditions and intrinsic textures. Initially, tunnel inspection equipment was designed and deployed on a field operation inspection vehicle to facilitate the rapid acquisition of high-definition images of the tunnel surfaces. The collected images were meticulously annotated to highlight intrinsic textures such as cracks, water leaks, pipelines, bolt holes, and distribution boxes, resulting in 5,813 authentic tunnel defect images serving as the datasets for this study. Utilizing the YOLOv10 object detection model, the developed model achieved an accuracy of 80.6%, a recall rate of 77.8%, and an mAP0.5 of 81.3% on the experimental datasets. The model size is just 5.46 MB, and it achieves an FPS of 64.32, which is sufficient to meet the requirements for online detection and recognition tasks of tunnel surface defects. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Inspection equipment

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Mid-infrared period doubled solitons in a few-mode fluoride fiber oscillator

Mid-infrared period doubled solitons in a few-mode fluoride ...

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2024 advanced Fiber Laser Conference, AFL 2024

作者： Yang, Ying Ma, Shuanglong Chen, Zifeng Luo, Xing Guo, Chunyu Ruan, Shuangchen Shenzhen Key Laboratory of Laser Engineering Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province State Key Laboratory of Radio Frequency Heterogeneous Integration College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Key Laboratory of Advanced Optical Precision Manufacturing Technology of Guangdong Higher Education Institutes Shenzhen Technology University Shenzhen518118 China

ISBN: (数字)9781510688889

ISBN: (纸本)9781510688872

Period doubling bifurcation (PDB) phenomenon, which is prevalent in nonlinear systems, has attracted considerable attention because of its potential application value. As an ideal platform for studying the pulse dynamics of nonlinear systems, the mode-locked fiber laser has been intensively investigated in the near-infrared (NIR) spectral region. However, there is a paucity of relevant reports of pulse dynamics in the mid-infrared (MIR) spectral region. Especially for the MIR large-mode-area (LMA) fluoride fiber oscillator, the existence of multiple transverse modes and a new spatial degree of freedom makes the pulse dynamics phenomenon is more complex, which needs to be further explored. In this paper, a soliton regime with a pulse duration of 404.5 fs, repetition frequency of 45.02 MHz, and average output power of 105.3 mW is obtained in a few-mode fluoride fiber oscillator mode-locked by the nonlinear polarization rotation (NPR) technique. By merely increasing the power of the pump, a period doubled soliton with the pulse intensity varying between two different values can be obtained. This work facilitates a more profound comprehension of the nonlinear dynamics in the mid-infrared multimode fluoride fiber laser, and opens up new opportunities for the chaos, optical frequency combs and all-optical modulation. © 2025 SPIE.

关键词： Infrared devices

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HG2former: HSV-Gamma Guided Transformers for Efficient Underwater Image Enhancement

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IEEE Journal of Oceanic Engineering 2025年第2期50卷 866-878页

作者： Qing, Yuhao Shen, Liquan Fang, Zhijun Wang, Yueying Shanghai University School of Mechatronic Engineering and Automation Shanghai200444 China Shanghai University Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai200444 China Donghua University School of Computer Science and Technology Shanghai200051 China

Due to optical phenomena, such as the absorption and scattering of light in underwater environments, underwater images often suffer from degradation in color, contrast, clarity, and noise. Existing deep learning-based methods for underwater image enhancement typically learn a direct mapping from low-quality to high-quality underwater images, without fully considering the mapping of local luminance, chrominance, and contrast features. In this article, we propose a transformer model guided hue, saturation, value (HSV) and gamma correction for underwater image enhancement. The HG2former combines the HSV color model and gamma correction techniques to isolate the three fundamental characteristics of color, providing rich, differentiated enhancement for both color and contrast in underwater images. In addition, nonlinear gamma correction adaptively adjusts the brightness and contrast of images, addressing issues of visibility reduction and color distortion in underwater imaging. Furthermore, we introduce a meticulously designed encoder–decoder structure, along with an improved multihead self-attention module, to capture the spatial distribution patterns of underwater images while modeling both local and long-range dependencies. Extensive experimental results on multiple data sets demonstrate that the proposed HG2former outperforms other state-of-the-art methods. © 1976-2012 IEEE.

关键词： Color

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Equilibrium and non-equilibrium preparation of Zr-based oxide ceramic layers via in-situ synthesis on ZrNb alloy surfaces

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Ceramics International 2025年第12期51卷 15483-15496页

作者： Liu, Shuguang Song, Tianshuo Xue, Yongjie Qiu, Weiwei Zhao, Suli Li, Xuexian Wang, Fei Yue, Yun Xia, Chaoqun Engineering Research Center for Electrophysical Apparatus and Application Technology Beijing Research Institute of Automation for Machinery Industry Co. Ltd. Beijing100120 China Tianjin Key Laboratory of Materials Laminating Fabrication and Interface Control Technology School of Materials Science and Engineering Hebei University of Technology Tianjin 300130 China National United Engineering Laboratory for Advanced Bearing Tribology Henan University of Science and Technology Luoyang471000 China

To develop ZrNb alloys with excellent surface properties, phase composition, microstructure evolution, and friction and wear properties of Zr oxide ceramic layers prepared by equilibrium and non-equilibrium techniques were investigated. Non-oxidized samples prepared with same heat treatment process were used as control group. Optical microscopy, scanning electron microscopy, X-ray diffraction, and X-photoelectron spectroscopy were employed to further investigate and establish relationships between processing, structure, and properties. There was apparent oxygen-rich diffusion zone between in-situ synthesized Zr-based oxide ceramic layer and ZrNb substrate. High residual stress, fine-grained microstructure due to insufficient growth, and high diffusion rate of elements near oxide/metal interface at 1000 °C resulted in high content of t-ZrO2 in non-equilibrium aqueous oxidation sample. Furthermore, the composition of equilibrium thermal oxidation samples was dominated by m-ZrO2, exhibiting the highest nano-hardness (>14 GPa) and the lowest wear rate (3.40 × 10−8 mm3/N·m). Friction and wear behavior of samples under different surface conditions was investigated. Lastly, stability mechanism of metastable oxide phases and growth mechanism of Zr-based oxides were analyzed and discussed in depth. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Thermooxidation

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Enlarged pre-strain effect associated with Nb-rich particles in Ti44Ni47Nb9 shape memory alloy

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Journal of Alloys and Compounds 2025年 1026卷

作者： Xu, Chen Chen, Yulin Yang, Dehou Zhang, Peng Chen, Yiwen Zhang, Jian Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology School of Intelligent Manufacturing Jiangnan University Wuxi214122 China

Ti-Ni-Nb shape memory alloys (SMAs) are very important in pipe joints for its wide hysteresis character of shape memory effect (SME). The original broad hysteresis is further widened by pre-strain effect (PSE, i.e. martensite stabilization) during SME pretreatment. Microstructural features of the most applied Ti44Ni47Nb9 possess multi-scale Nb-rich particles in (Ti,Nb)Ni matrix. Nb-rich particles certainly affect the PSE, which however is not settled. Our study focuses on small pre-strains via cold rolling (CR) within B19’ transformation strain (ΕM∼8.4 %) of Ti44Ni47Nb9, to avoid the complication of severe plastic deformation in matrix. Moreover, comparative study is performed in Ti50Ni50 (without Nb-rich particles). With PSE, hysteresis of Ti44Ni47Nb9 increases much faster than Ti50Ni50. By CR10, the increased hysteresis of Ti44Ni47Nb9 is 195 °C, 224 % of that in Ti50Ni50. Therefore, an enlarged PSE is found in Ti44Ni47Nb9. To reveal the underlying mechanism, we performed SEM and STEM observations on Ti44Ni47Nb9 with various pre-strains. Micrographs show that the dislocation density around Nb-rich particles is much higher than that in matrix far away. This is ascribed to the interaction between stress-induced martensite and Nb-rich particles, where the particles are the obstacles of martensite propagation and also act as additional dislocation sources. The high density dislocations nearby Nb-rich particles greatly increase the degree of martensite stabilization, which decreases with the decrease of dislocation density away from particles. It leads to enlarged PSE and explains well the greatly widened transformation temperature regime. Our work may shed lights on the PSE and SME designing in the particle-containing SMAs. © 2025 Elsevier B.V.

关键词： Niobium alloys

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