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SSRN 2024年

作者： Chen, Lei Chen, Ping Liu, Fanghai Gao, Yanpeng Ni, Haiyong Han, Chaolei Hu, Juntao Zhang, Wenhua Zhang, Qiuhong Wei, Shizhong National Joint Engineering Research Center for Abrasion Control and Molding of Metal Materials Henan Key Laboratory of High-temperature Structural and Functional Materials Henan University of Science and Technology Luoyang471003 China School of Materials Science and Engineering Hefei University of Technology Hefei230009 China Institute of Resources Utilization and Rare Earth Development Guangdong Academy of Sciences Guangzhou510650 China National Engineering Lab of Special Display Technology State Key Lab of Advanced Display Technology Academy of Opto-Electronic Technology Hefei University of Technology Hefei230009 China National Synchrotron Radiation Laboratory University of Science and Technology of China Hefei230026 China Intelligent Manufacturing Institute of HFUT Anhui Province Hefei230051 China

Graphitic carbon nitride (g-C3N4) have shown promising potentials for quantum dot light-emitting diodes (QLEDs), which might be an effective alternative of the mostly used Cd(Se,S)/Zn(S,Se) emitting layers and can achieve both low toxicity and high stability, meeting the goal of sustainable development. Herein, we for the first report a white electroluminescence QLED device with blue and orange dual-color emissions, which were attributed to the σ*-LP, π*- π, and π*-LP transitions, respectively, from a single-compound g-C3N4 quantum dots (QDs) by synthesizing the precursor at 0.8 Mpa high-pressure N2. By selectively exciting the δ and π bonds with X-ray, the luminescence machanism was approved with the synchrotron radiation techniques of X-ray absorption near edge structure (XANES) and the X-ray excited optical luminescence (XEOL).The chromaticity coordinate changes from cayan color space with CIE (0.2034, 0.1939) to white color space with CIE (0.3009, 0.2697) as pressure increases from 0.06 to 0.8 Mpa, with the increased overlap of the δ* and π* orbital upon the contraction of crystal lattice. The breakthrough achieved in this work will promisingly promote the development of future white light sources as thin as paper for human home and office lighting by using direct current-driven electroluminescence of QDs, instead of photoluminescence of phosphors. © 2024, The Authors. All rights reserved.

关键词： Semiconductor quantum dots

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Analytical Method Considering Rotor Misalignment in Yokeless and Segmented Armature Machines

Analytical Method Considering Rotor Misalignment in Yokeless...

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IEEE Conference on Industrial electronics and Applications (ICIEA)

作者： Feng Yi Chi Zhang Shuheng Qiu Wei Liu Meitong Zhang Shupei Li Chinese Academy of Sciences College of Materials Science and Opto-Electronic Technology Ningbo Institute of Materials & Technology and Engineering Ningbo China Chinese Academy of Sciences Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology Ningbo Institute of Materials & Technology and Engineering Ningbo China Faculty of Electrical Engineering Hebei University of Science & Technology Ningbo Institute of Materials & Technology and Engineering Chinese Academy of Sciences Ningbo China Chinese Academy of Sciences Ningbo Institute of Materials & Technology and Engineering Ningbo China

This paper presents a quasi-3D analytical method considering the rotor misalignment for yokeless and segmented armature (YASA) machines. In the proposed method, a detailed subdomain (SD) method dividing the YASA machine into five SDs is utilized to calculate the magnetic field distribution, accounting for the rotor misalignment and slotted effect with limited depth. The entire magnetic field is obtained by applying the interface and boundary conditions. In addition, based on obtained bilateral air-gap flux density, the cogging torque is calculated considering the rotor misalignment. The effectiveness of the proposed method is validated compared with finite element analysis.

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An improved salp optimization algorithm inspired by quantum computing 3

An improved salp optimization algorithm inspired by quantum ...

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2020 3rd International Conference on Advanced Algorithms and Control Engineering, ICAACE 2020

作者： Tian, Fanghao Wei, Hongkui Li, Xu Lv, Meibo Wang, Pei School of Astronautics Northwestern Polytechnical University Xi'an Shaanxi710072 China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing100854 China

Salp Swarm Algorithm (SSA) is a novel optimization algorithm which is widely used in engineering problems. An improved SSA inspired by quantum computing is proposed in this paper. The principles of quantum computing, such as qubits and quantum states, are introduced into the original SSA in order to overcome the defect of trapping into local optimum easily. Instead of updating the salp position directly, the quantum angle related to the quantum state is updated to increase the diversity of states. Two multidimensional benchmark functions are used to verify the proposed improved SSA, the result shows that the introduction of quantum computing can successfully prevent the SSA from falling into the local optimum and increase the accuracy. © Published under licence by IOP Publishing Ltd.

关键词： Optimization

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When Shannon Meets Nonstochastic Information: Communication and Estimation

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IEEE Transactions on Automatic Control 2025年

作者： Zhang, Wentao Zuo, Zhiqiang Zhao, Rui Wang, Yijing Hu, Guoqiang Zhang, Hui Wang, Yaonan Hunan University School of Robotics Changsha410082 China Nanyang Technological University Continental-NTU Corporate Lab Singapore639798 Singapore Tianjin University Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System School of Electrical and Information Engineering Tianjin300072 China Nanyang Technological University School of Electrical and Electronic Engineering Singapore639798 Singapore National Engineering Research Center for Robot Visual Perception and Control Changsha410082 China Hunan University College of Electrical and Information Engineering Changsha410082 China

This notes focuses on the issue of whether or not the state of a plant can be estimated when the inputs of communication channel involve noise and disturbance simultaneously. It turns out to calculate the maximum capacity of stationary memoryless multiple quasi-access channel under nonstochastic information theory. It is shown that the maximum information rate over such a channel is determined by a convex hull spanned by the zero-error capacities which are specified on the underlying sample spaces. Moreover, the state of a plant could be estimated provided that the maximal information rate is strictly greater than the topology entropy. © 1963-2012 IEEE.

关键词： Communication channels (information theory)

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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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Error Analysis Method and Sensitivity Analysis for Linkage Transmission Mechanism

Error Analysis Method and Sensitivity Analysis for Linkage T...

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2021 International Conference on Mechanical Engineering, intelligent manufacturing and Automation technology, MEMAT 2021

作者： Liu, Lu Ma, Guocai Jiang, Xiaodong Cao, Zhihong Zhang, Wei Shang, Ke Jin, Xin School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing100854 China Beijing Shiny Tech.co. Ltd Beijing100039 China Inner Mongolia First Machinery Group Co. Ltd Neimenggu014030 China Beijing Institute of Technology Zhejiang314000 China

Given the linkage transmission mechanism with mutual restraint, coupling, and multi constraint conditions, due to the existence of machining errors of parts, the error accumulation in the assembly process leads to the uncertainty of position and posture. At present, there is no quantitative analysis. In this study, the small displacement torsor (SDT)method was used to describe the error variation of geometric elements, and the error transmission attribute of the joint surface was proposed by using a homogeneous transformation matrix. The error accumulation value of each assembly joint surface for the linkage transmission mechanism was analyzed by using MATLAB numerical algorithm, to predict the actual position change value of the frame caused by machining error and the sensitivity of factors affecting the assembly accuracy. The sensitivity can guide for improving assembly accuracy and optimizing technology. © Published under licence by IOP Publishing Ltd.

关键词： Sensitivity analysis

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Comparison of deep learning-based methods in multimodal anomaly detection: A case study in human–robot collaboration

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Science Progress 2021年第2期104卷 368504211021192-368504211021192页

作者： Yang, Lin Yan, Wu Wu, Hongmin Guangdong Provincial Key Laboratory of Electronic Information Products Reliability Technology Guangzhou China Guangdong Key Laboratory of Modern Control Technology Institute of Intelligent Manufacturing Guangdong Academy of Sciences Guangzhou China

Human-robot Collaboration (HRC) has been widely used in daily life and industry for maximizing the advantages of humans and robots, respectively. However, the internal modeling errors or external perturbations still affect robotic systems such as human collisions and environmental changes. Multimodal anomaly detection plays an increasingly important role in HRC applications, which detects unexpected anomalies from multimodal signals. Due to the complex temporal dependence and stochasticity, it is still difficult to choose a common model applicable to all collaborative tasks, and lack of comparative analysis of existing methods and verification of specific application cases. In this paper, six representative deep learning-based methods are evaluated and the comparing metrics including detection accuracy, multi-modality combinations, and anomaly time bias. For a fair comparison, each detector models multimodal signals from non-anomalous samples and then determines an anomaly using a predefined threshold. We evaluate the detectors with force, torque, velocity, tactile, and kinematic sensing during a human-robot kitting experiment that consists of six individual skills, results indicate that the LSTM-DAGMM based detector outperformed the others, which yielding higher accuracy and efficiency. The metrics are measured with the RUC and ROC by changing the settings of multi-modality combinations and various anomaly biases, which aim to obtain the best performance of multimodal anomaly detection. © The Author(s) 2021.

关键词： Deep learning human robot collaboration multimodal anomaly detection performance comparison

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Bifurcation Analysis of Thin-Walled Structures Trimming Process with State-Dependent Time Delay

SSRN

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SSRN 2023年

作者： Ma, Sen-Lin Huang, Tao Yan, Yao Zhang, Xiao-Ming Ding, Han Wiercigroch, Marian State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan430074 China Institute of Artificial Intelligence Huazhong University of Science and Technology Wuhan430074 China School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu611731 China Centre for Applied Dynamics Research School of Engineering University of Aberdeen Kings College AberdeenAB24 3UE United Kingdom

Our previous study on trimming of thin-walled structures revealed that the developed model exhibits strong nonlinearity, where both higher period instability caused by time-varying time delay and stability with constant time delay can co-exist. Hence, this work focuses on nonlinear dynamics of this milling process, where numerical and analytical tools are used to investigate its stability. Specifically, dynamics responses were computed by finite difference method, where an implicit state-dependent time delay is converted into an explicit form through a Taylor’s series expansion. The perturbation method was applied to analyze the linear stability of the trimming process. We employed a direct numerical integration approach in the time-domain to construct global bifurcation diagrams, where unsafe cutting caused by multiple stabilities had been found through forward and backward numerical simulations. Basins of attraction were computed to evaluate the cutting safety in the unsafe cutting zones. Finally, the stability charts for both linearized and fully nonlinear models were constructed to illustrate the stable and unstable trimming regions. © 2023, The Authors. All rights reserved.

关键词： Thin walled structures

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Advancing energy absorption in additively manufactured meta-plates through machine learning-driven inverse design

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Thin-Walled Structures 2025年 215卷

作者： Qingyuan Liu Liang Mou Lan Zhang Shuai Yuan Haiyang Peng Jinguo Ge Yunze Yang Yuhong Long Hualin Fan Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology School of Mechanical and Electrical Engineering Guilin University of Electronic Technology Jinji road Guilin Guangxi 541004 China Research Center of Lightweight Structures and Intelligent Manufacturing State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Nanjing 210016 China

Transportation safety systems (e.g., automotive crash boxes, train front-end energy absorption structures) require energy absorbers to simultaneously control energy absorption ( EA ), peak crushing force or stress ( PCF , PCS ), mean crushing force or stress ( MCF , MCS ), and undulation of load carrying ( ULC ). This study proposed meta-plates, characterized by stacking layers, twisting angles, and wall thicknesses. An additive manufacturing constrained machine learning and genetic algorithm (ML-GA) co-design framework was designed to optimize the crashworthiness performances. Finite element (FE) simulations incorporating nonlinear material models and contact algorithms, combined with Latin hypercube sampling, efficiently explored 10.7% of the design space, capturing nonlinear large deformations under quasi-static compression up to 50% strain. 600 independent samples were calculated to evaluate the performance of the ML model, which achieved 96.0% prediction accuracy ( R 2 score). At a given target relative density ( ρ ∗ ) ranging from 4% to 14%, the optimized meta-plates demonstrated 80%–200% higher MCS compared to benchmark shell/plate lattices at equivalent ρ ∗ . The meta-plates also exhibited directional crushing behavior with crushing force efficiency ( CFE ) around 1.0. Experimental validations show < 6% deviation from predictions also witnessed the high MCS , low PCS , and nearly free from stress fluctuation for meta-plates with 8%, 10%, and 14% ρ ∗ values. This methodology enables rapid design of lightweight energy absorbers with tunable deformation modes and extremely high material efficiency, providing a paradigm shift from trial-and-error approaches to intelligent crashworthy structure development.

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Opt2ada: An Universal Method for Single-Image Low-Light Enhancement

SSRN

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SSRN 2022年

作者： Guo, Xiaoyong Zhang, Kai Peng, Jiahan Chen, Xiaoyan Guo, Guangjie College of Electronic Information and Automation Tianjin University of Science and Technology Tianjin300457 China Xingtai Key Laboratory for research and application of robot intelligent detection and sorting technology Xingtai054001 China College of Mechanical Engineering Tianjin University of Science and Technology Tianjin300457 China School of Physics and Electrical Engineering Xingtai University Xingtai054001 China

In this paper, it is proposed that the task of single-image low-light enhancement can be accomplished by a straightforward method named Opt2Ada in which a series of operations are integrated including an \textbf{opt}imized illuminance map generation, an \textbf{ada}ptive illuminance enhancement, and an \textbf{ada}ptive global scaling. A rich variety of criteria is used for the evaluation, including full-reference, no-reference, and semantic metrics. Extensive experiments on real-world low-light images clearly verify the superiority of Opt2Ada against recently proposed state-of-the-art enhancing algorithms in RGB color space including both traditional and deep learning methods. Opt2Ada neither relies on specific architecture engineering nor dataset collection and preparation. It is not data-driven and its parameters are universal resulting to a generalization capability better than that of the data-driven methods. Moreover, we deploy Opt2Ada on various mobile phones, and find that a native CPU implementation can reach 3-9 frames per second. Since our method is simple and effective, this makes it convenient to be developed by any programming language and imbedded into the pre-processing subroutines for high-level machine vision tasks. © 2022, The Authors. All rights reserved.

关键词： Image enhancement

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