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49th European Conference on Optical Communications, ECOC 2023

作者： Mao, Xiaoxin Fan, Xiaoqi Wang, Longsheng Fu, Songnian Wang, Yuncai Wang, Anbang Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province Taiyuan030024 China College of Optoelectronics Taiyuan University of Technology Taiyuan030024 China School of Information Engineering Guangdong University of Technology Guangzhou510006 China Guangdong Provincial Key Laboratory of Information Photonics Technology Guangzhou510006 China

An optical-chaos secure communication of 86-Gb/s 16-Ary QAM signal over 100-km fiber transmission is experimentally demonstrated under the 20%-overhead SD-FEC BER threshold of 2.0×10-2 by using wideband chaos syn... 详细信息

ISBN: (纸本)9781839539954

关键词： Semiconductor lasers

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Synchronously realizing high spatial resolution and precise location for fiber fault attenuation event detection

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Optics letters 2025年第11期50卷 3732-3735页

作者： Hui Liu Tong Zhao Mingjiang Zhang College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan 030024 China Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan 030024 China Shanxi Key Laboratory of Precision Measurement Physics Taiyuan University of Technology Taiyuan 030024 China

Attenuation events are common fault types in optical fiber links, which are very important to identify and accurately locate them with high resolution. However, research on achieving high spatial resolution for fiber fault event localization in the field of optical time-domain reflectometry (OTDR) mainly focuses on reflection events; the precise identification of attenuation events is rarely reported. A chaotic OTDR technique based on attenuation extraction-correlation compression integrative demodulation (AECCID) is proposed to realize high spatial resolution and high-precision localization of attenuation events in optical fiber links. The positioning process and principle of AECCID are analyzed and verified by simulation. The location and length of the attenuation event are precisely recognized according to the demodulated positions of the two correlation peaks. The spatial resolution is only determined by the full width at half maximum (FWHM) of the autocorrelation curve of chaotic lasers, which breaks through the limitation of wide pulse width on spatial resolution. The proof-of-concept experimental results show that when the pulse width is 1 μs and the detector bandwidth is 130 MHz, the spatial resolution is improved from 100 m to 0.87 m compared with conventional single-pulse OTDR.

关键词： Attenuation Attenuation coefficient Optical fibers Optical fields Resolution Spatial resolution

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Hydrochars as slow-release phosphorus fertilizers for enhancing corn and soybean growth in an agricultural soil

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Carbon Research 2024年第1期3卷 1-19页

作者： Khosravi, Anahita Yuan, Yanfei Liu, Qiang Zheng, Hao Hashemi, Masoud Tang, Yuanzhi Xing, Baoshan Stockbridge School of Agriculture University of Massachusetts AmherstMA01003 United States Institute of Coastal Environmental Pollution Control College of Environmental Science and Engineering Ministry of Education Key Laboratory of Marine Environment and Ecology Frontiers Science Center for Deep Ocean Multispheres and Earth System Ocean University of China Qingdao266100 China Laboratory for Marine Ecology and Environmental Science Qingdao National Laboratory for Marine Science and Technology Qingdao266237 China School of Earth and Atmospheric Sciences Georgia Institute of Technology AtlantaGA30332–0340 United States

Hydrochars as carbonaceous amendments rich in porous structures and nutrients can be used as promising slow-release fertilizers and soil health amendments. Yet, the performance of hydrochars derived from different feedstocks in improving crop plant growth and soil phosphorus (P) availability is not well understood. Here, a batch of sewage sludge (SS) and chicken manure (CM) derived hydrochars (SSCs and CMCs) were produced at 125 and 225 °C (SS125/225 and CM125/225) to investigate their characteristics and performances in improving the seedling growth of two representative crops, soybean (Glycine max) and corn (Zea mays), as well as the P availability in an acidic agricultural soil in comparison with triple super phosphate (TSP), a conventional P fertilizer. Compared with CMCs, SSCs with more porous and rougher surfaces contained relatively lower contents of carbon (C;32.3–33.3%), hydrogen (H;3.9–4.69%), and potassium (K;29.2–51 mg g−1), but higher contents of P (37.4–85.4%) and nitrogen (N;2.26–4.9%), as well as more O-containing and N-containing functional groups. The impacts of hydrochars on soybean and corn growth showed distinct variations. The application of SSCs showed little effect on soybean growth (i.e., biomass, chlorophyl contents, and number of leaves), while CMCs significantly increased its total dry biomass by 23.2–66.2%. For corn, both SSCs and CMCs increased the total dry biomass by 32.8–92.4% and 21.8–69.7%, respectively, compared to those in the un-amended soils. In addition, compared with the higher temperature hydrochars (SS225 and CM225), the lower temperature ones (SS125 and CM125) increased the total dry biomass by 24.6% and 34.9% for soybean and 44.8% and 39.3% for corn, respectively. The significant improvement in crop growth by hydrochars was mainly due to the direct nutrient supply (particularly P) by the hydrochars, which was supported by the increased soil and shoot P concentrations. Moreover, hydrochar application led to a rise in soil

关键词： Manures

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Mobilenetv2-SSD Target Detection Method Based on Multi-scale Feature Fusion 8th

Mobilenetv2-SSD Target Detection Method Based on Multi-scale...

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8th International Conference on Cognitive systems and Information Processing, ICCSIP 2023

作者： Li, Boao Jiang, Du Tang, Xinjie Sun, Ying Weng, Yaoqing Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Wuhan430081 China Research Center for Biomimetic Robot and Intelligent Measurement and Control Wuhan University of Science and Technology Wuhan430081 China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Wuhan430081 China Precision Manufacturing Research Institute Wuhan University of Science and Technology Wuhan430081 China Hubei Longzhong Laboratory Hubei Xiangyang441000 China

ISBN: (纸本)9789819980208

Most of the deep learning networks used in target detection algorithms are very complex, which poses difficulties for edge devices with limited storage capacity and computing power, such as mobile terminals. A MobileNetv2-SSD target detection algorithm based on multi-scale feature fusion is proposed in this paper. We use MobileNetv2 to improve the SSD algorithm by replacing the original network’s backbone network VGG16 with the lightweight network MobileNetv2 to perform the model streamlining. The problem of accuracy loss due to model compression is improved by the designed feature fusion module and finally tested on the dataset. The experimental results show that the mAP and FPS are 90.37% and 50FPS, respectively, and the detection accuracy is improved by 3.24% compared with the original SSD network, the detection speed is 1.9 times of the original one, and the size of the model is only 28.5M, which is only 30.5% of the original model. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Computer vision

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Research on Gear Bending Fatigue Test and Probabilistic Life Prediction Method

Research on Gear Bending Fatigue Test and Probabilistic Life...

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International Symposium on system and Software Reliability (ISSSR)

作者： Ming Li Chengjun Shi Puzheng Ji Liyang Xie School of Mechatronics Engineering Shenyang Aerospace University Shenyang China Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education Northeastern University Shenyang China

ISBN: (数字)9798331501242

ISBN: (纸本)9798331501259

The manufacture of precision long life gears is characterized by high cost and long cycle. Moreover, the fatigue tests of gears are time consuming and labor intensive. In order to obtain the life information of gears accurately and conveniently, a model for predicting the probabilistic life of gears is established by using the concept of the minimum order statistic. Furthermore, the probabilistic life relationship among gears with different numbers of teeth is constructed. The life data of specific gears are taken as the input variables of the model, and through the transformation of the model, the probabilistic life of other gears can be obtained. Meanwhile, a gear bending fatigue test is carried out under a constant stress level, and during the test, the methods for monitoring and evaluating gear failures are expounded. Next, two analysis methods of gear failure mechanism and fracture are combined to present the failure mode, and test data are used to illustrate the guiding significance of the model. Finally, the model is verified by the statistical method of random censored data, which proves that the model has good prediction ability and the advantage of handling a small amount of data.

关键词： Analytical models Gears Predictive models Bending Probability Fatigue Probabilistic logic Data models Reliability Stress

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A Pick-And-Throw Method for Enhancing Robotic Sorting Ability via Deep Reinforcement Learning 36

A Pick-And-Throw Method for Enhancing Robotic Sorting Abilit...

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36th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2021

作者： Fang, Zihan Hou, Yanxu Li, Jun Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Shenzhen Research Institute Southsast University Shenzhen518057 China

ISBN: (纸本)9781665437127

To promote the work capacity and efficiency in a weakly structured logistics sorting scene, a pick-And-Throw method based on reinforcement learning is proposed. First, a D N-based learning algorithm is used to obtain a picking feasibility distribution map for guiding an optimal picking action. Second, Deep Deterministic Policy Gradient (DDPG) algorithm is utilized to train a throwing policy. The throwing policy outputs a throwing velocity of the end-effector of a robot to throw the picked object to a target area. In addition, a memory pool optimization algorithm is also proposed to enhance the convergence of the throwing policy. Experiments are conducted in both simulation and real scenarios and results demonstrate that the proposed method can improve the sorting efficiency and expand the sorting space significantly. © 2021 IEEE.

关键词： Reinforcement learning

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A Parallel Algorithm for Solving General Colored Traveling Salesman Problems 36

A Parallel Algorithm for Solving General Colored Traveling S...

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36th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2021

作者： Ding, Penghui Xu, Xiangping Li, Jun Ministry of Education Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing210096 China Southeast University Shenzhen Research Institute Shenzhen518057 China

ISBN: (纸本)9781665437127

A colored traveling salesman problem (CTSP) is a generalization of the well-known multiple traveling salesman problem. It utilizes colors to differentiate the accessibility of its cities to ward its salesmen. All the existing algorithms for solving CTSP are serial ones. This paper presents for the first time a parallel algorithm framework for solving general CTSP. Then, an improved variable neighborhood search algorithm is proposed by using this algorithm framework. Finally, extensive simulations are conducted in various test cases. The results show that the algorithm proposed is superior to the compared serial algorithms in terms of convergence and solution quality. © 2021 IEEE.

关键词： Traveling salesman problem

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Reliability Assessment of Planetary Pin Position Errors in Large-Scale Aerospace Planetary systems Based on the Kriging Model

Reliability Assessment of Planetary Pin Position Errors in L...

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International Symposium on system and Software Reliability (ISSSR)

作者： Ming Li Puzheng Ji Chengjun Shi Liyang Xie School of Mechatronics Engineering Shenyang Aerospace University Shenyang China Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education Northeastern University Shenyang China

ISBN: (数字)9798331501242

ISBN: (纸本)9798331501259

Planetary gear systems, serving as core components for high-precision power transmission in engineering applications, exhibit compromised reliability due to nonlinear dynamic interactions between component flexibility and manufacturing/assembly errors. Conventional rigid-body assumptions and single-factor analyses fail to address multi-source deformation effects, while Monte Carlo simulations prove computationally prohibitive for multiobjective optimization under complex operating conditions. This study develops a Kriging surrogate-enhanced framework integrating finite element dynamics with flexible planet carrier modeling to resolve the coupling mechanism between carrier deformation and pin positional errors. The methodology enables global multi-condition optimization through systematic acquisition of error-induced load/stress distributions and reliability predictions. The results demonstrate that the tangential position error has a considerably greater impact on reliability than the radial error. The surrogate model achieves computational efficiency improvement while accurately capturing the nonlinear threshold effect of error-reliability. This provides a highly efficient decision-making framework for balancing the manufacturing tolerance and system reliability, and significantly improves the analysis efficiency and engineering applicability.

关键词： Gears Deformation Computational modeling Predictive models Reliability engineering Pins Computational efficiency Reliability Optimization Load modeling

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Adapting Human Mesh Recovery with Vision-Language Feedback

arXiv

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arXiv 2025年

作者： Xu, Chongyang Huang, Buzhen Zhang, Chengfang Feng, Ziliang Wang, Yangang College of Computer Science Sichuan University Chengdu610065 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education The School of Automation Southeast University Nanjing210096 China Intelligent Policing Key Laboratory of Sichuan Province Sichuan Police College Luzhou646000 China

Human mesh recovery can be approached using either regression-based or optimization-based methods. Regression models achieve high pose accuracy but struggle with model-to-image alignment due to the lack of explicit 2D-3D correspondences. In contrast, optimization-based methods align 3D models to 2D observations but are prone to local minima and depth ambiguity. In this work, we leverage large vision-language models (VLMs) to generate interactive body part descriptions, which serve as implicit constraints to enhance 3D perception and limit the optimization space. Specifically, we formulate monocular human mesh recovery as a distribution adaptation task by integrating both 2D observations and language descriptions. To bridge the gap between text and 3D pose signals, we first train a text encoder and a pose VQ-VAE, aligning texts to body poses in a shared latent space using contrastive learning. Subsequently, we employ a diffusion-based framework to refine the initial parameters guided by gradients derived from both 2D observations and text descriptions. Finally, the model can produce poses with accurate 3D perception and image consistency. Experimental results on multiple benchmarks validate its effectiveness. The code will be made publicly available. © 2025, CC BY.

关键词： Mesh generation

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滚动轴承静态和动态不对中对转子系统非线性振动特性的影响

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Journal of Central South University 2023年第3期30卷 871-903页

作者：王鹏飞杨阳徐宏阳马辉韩清凯罗忠闻邦椿 School of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China China North Vehicle Research Institute Beijing 100072China Key Laboratory of Vibration and Control of Aero-Propulsion System of Ministry of Education(Northeastern University) Shenyang 110819China

在滚动轴承不对中问题的研究中,以往的研究中很少考虑轴承不对中对转子系统振动特性的影响。基于现有研究的局限性,首先,给出了一种考虑轴承不对中的5自由度非线性力模型,该模型综合考虑了轴承的平行和角不对中、静态与动态不对中、内... 详细信息

在滚动轴承不对中问题的研究中,以往的研究中很少考虑轴承不对中对转子系统振动特性的影响。基于现有研究的局限性,首先,给出了一种考虑轴承不对中的5自由度非线性力模型,该模型综合考虑了轴承的平行和角不对中、静态与动态不对中、内圈与外圈不对中等多种情况。其次,将该模型应用在转子有限元模型中,分析了不对中对轴承动态接触特性和转子系统振动特性的影响。然后,给出了衡量轴承不对中程度的评价指标。最后,对比分析了平行和角不对中、静态与动态不对中的异同点。结果表明,轴承不对中提高了转子的共振转速,在共振区出现了幅值跳跃现象,表现出硬式非线性特征。从频率特征上来看,滚动轴承动态平行不对中和动态角不对中分别导致转子旋转频率成分fr和2fr的幅值增大。动态不对中导致轴承的承载区随着轴承内圈的旋转而时刻变化。该研究可为转子-轴承系统的故障识别提供理论依据和有价值的参考。

关键词：滚动轴承-转子系统不对中非线性动力学分岔故障诊断

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