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Digital Society and intelligent Systems (DSInS), International Conference on

作者： Qin Zhang Jinlong Pan Hu Chen Yixiong Feng Zhaoxi Hong Key Laboratory of Robot System Integration and Intelligent Equipment of Huzhou Huzhou Vocatinal & Technical College Huzhou P. R. China State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou P. R. China Shanghai Space Propulsion Technology Research Institute Shanghai P. R. China Shanghai Institute of Special Equipment Inspection and Technical Research Shanghai P. R. China Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province Zhejiang University Hangzhou P. R. China

ISBN: (纸本)9781665406314

Affected by uncertain factors such as customer demand, product design process will face with varying degrees of upgrade risk. In order to response to change requirements and reduce the impact of component changes, change path optimization for complex products considering upgrade risk is proposed. The goal of this work is to optimize change paths with multi-objective programming. The optimization model is constructed with the goal of minimizing the change complexity, the minimizing change propagation intensity and minimizing the change time. The improved whale algorithm is proposed to solve the model. A set of non-dominated solutions is obtained which can guide decision makers to choose the appropriate scheme. Finally, a product change path optimization for an elevator is given to verify the effectiveness of the proposed method.

关键词： Whales Pareto optimization Product design Elevators Mechanical products Complexity theory intelligent systems

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Correction: Facile synthesis of amino-modified magnetic covalent organic framework for the efficient extraction and determination of anionic azo dyes in carbonated beverages

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Analytical sciences : the international journal of the Japan Society for Analytical Chemistry 2024年第7期40卷 1383页

作者： Shuping Guan Hao Wu Wanming Lin Yaxin Chen Zhuliang Wang College of New Energy and Materials Engineering Shanxi Electronic Science and Technology University Linfen China. School of Chemistry and Materials Science of Shanxi Normal University Key Laboratory of Magnetic Molecules and Magnetic Information Materials of Ministry of Education Shanxi Normal University Taiyuan China. Shanxi Yitiantai Testing Technology Co. Ltd Linfen China. College of Intelligent Manufacturing Shanxi Electronic Science and Technology University Linfen China. lfwangzl@***.

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GVI: Guideable visual interpretation on medical tomographic images to improve the performance of deep network

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Pattern Recognition Letters 2025年

作者： Hui Liu Fan Wei Lixin Yan Sushan Wang Chongfu Jia Lina Zhang Jiansheng Peng Yi Xu School of Control Science and Engineering Dalian University of Technology Dalian China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian China Liaoning Key Laboratory of Integrated Circuit and Biomedical Electronic System Dalian China Department of Cardiovascular Radiology The First Affiliated Hospital of Dalian Medical University Dalian China Department of Radiology The First Affiliated Hospital of Dalian Medical University Dalian China Department of Artificial Intelligence and Manufacturing Hechi University Hechi China

In medical image analysis, the demand for interpretable deep neural networks is rapidly growing. However, a major challenge is that most existing interpretative methods are applied after training, leading to a lack of integration with the model’s learning process. As a result, these methods often fail to highlight regions within complex medical images critical for decision-making, such as abnormal tissues or lesions, which are essential for accurate diagnoses and treatment planning. This paper introduces Guided Visual Interpretation (GVI), a framework designed to enhance both the performance and interpretability of deep networks. Building on a deep network model with image-level labels, GVI incorporates a small amount of pixel-level annotations combined with attention mechanisms. These mechanisms facilitate visual interpretation through forward propagation, directing the model’s focus to the most relevant regions. By aligning the network’s decision-making with human cognitive processes, GVI improves interpretability. In our study, an attention layer was added after the convolutional layers of a pre-trained classification network. GVI is trained using a mixed supervision approach that integrates pixel-level annotations with a large amount of image-level data. Experimental results on both private and public datasets show that GVI generates visual explanations consistent with human decision-making principles and achieves superior classification accuracy compared to traditional methods. These findings highlight GVI’s potential to improve interpretability and diagnostic performance in critical fields like medical imaging.

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Multichannel-resolved dynamics in resonance-enhanced below-threshold harmonic generation of H2+ molecular ions

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Physical Review A 2021年第4期103卷 043113-043113页

作者： Peng-Cheng Li Zhi-Bin Wang Shih-I Chu Research Center for Advanced Optics and Photoelectronics Department of Physics College of Science Shantou University Shantou Guangdong 515063 China Key Laboratory of Intelligent Manufacturing Technology of MOE Shantou University Shantou Guangdong 515063 China College of Physics and Electronic Engineering Northwest Normal University Lanzhou 730070 China Center for Quantum Science and Engineering Department of Physics National Taiwan University Taipei 10617 Taiwan Department of Chemistry University of Kansas Lawrence Kansas 66045 USA

Recently the study of the resonance-enhanced below-threshold harmonic generation (BTHG) of atoms and molecules has received considerable attention. BTHG, with spatially coherent and high conversion efficiency, can provide a potential way to produce powerful vacuum-ultraviolet light sources. However, the resonance effects associated with molecular BTHG have become more complex to study due to the presence of the extra internuclear degree of freedom. Here we perform an ab initio study and demonstrate the multichannel-resolved dynamics in resonance-enhanced BTHG of H2+ molecular ions by combining a synchrosqueezing time-frequency transform with an extended semiclassical simulation. We find that BTHG of H2+ on resonance is enabled only near the zero-laser field region and the multichannel interference is responsible for enhanced BTHG. The time-frequency spectra in the vicinity of the resonance exhibit a periodic split structure with oscillating laser pulses and can be explained by the individual dynamical behavior of multiple channels in BTHG.

关键词： High-order harmonic generation Light-matter interaction Quantum description of light-matter interaction Ultrafast phenomena Ultrashort pulses

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Boosting the Efficiency and Mechanical Stability of Organic Solar Cells Through a Polymer Acceptor by Reducing the Elastic Modulus

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Advanced Energy Materials 2025年第0期

作者： Wang, Yan Yu, Han Zhao, Dan Liu, Wei Liu, Baoze Wu, Xin Gao, Danpeng Zhang, Dong Zhang, Shoufeng Sun, Xianglang Zhang, Chunlei Zhao, Chaoyue Fu, Yuchen Song, Wei Gong, Shaokuan Fu, Yuang Kwok, Chung Hang Ge, Ziyi Lu, Xinhui Chen, Xihan Xiao, Shuang Wong, Wai-Yeung Chai, Yu Yan, He Zhu, Zonglong Department of Chemistry City University of Hong Kong Kowloon999077 Hong Kong Department of Chemistry Guangdong-Hong Kong-Macao Joint Laboratory of Optoelectronic and Magnetic Functional Materials Energy Institute and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration & Reconstruction Hong Kong University of Science and Technology Clear Water Bay Kowloon999077 Hong Kong Department of Applied Biology and Chemical Technology and Research Institute for Smart Energy The Hong Kong Polytechnic University Hung Hom 999077 Hong Kong Hong Kong University of Science and Technology-Shenzhen Research Institute No. 9 Yuexing 1st RD Hi-tech Park Nanshan Guangdong Shenzhen518057 China School of Automation Engineering University of Electronic Science and Technology of China Sichuan Chengdu611731 China Department of Physics City University of Hong Kong Kowloon999077 Hong Kong Zhejiang Engineering Research Center for Energy Optoelectronic Materials and Devices Ningbo Institute of Materials Technology & Engineering Chinese Academy of Sciences Ningbo315201 China Shenzhen Key Laboratory of Intelligent Robotics and Flexible Manufacturing Systems SUSTech Energy Institute for Carbon Neutrality Department of Mechanical and Energy Engineering Southern University of Science and Technology Guangdong Shenzhen518055 China Department of Physics The Chinese University of Hong Kong Shatin999077 Hong Kong Center for Advanced Material Diagnostic Technology and College of Engineering Physics Shenzhen Technology University Guangdong Shenzhen518118 China Shenzhen Research Institute City University of Hong Kong Shenzhen518057 China

Organic solar cells (OSCs) are regarded as one of the most promising flexible power sources due to their lightweight and flexible properties, with the improvement of photovoltaic and mechanical performance. To improve the current density and power conversion efficiency (PCE), mPh4F-TS (TS) and PYSe2F-T (PA) are introduced into the binary host, PM6/mPh4F-TT (PM6/TT) as third components. It is demonstrated that the corresponding ternary devices, in both rigid and flexible devices, achieved superior efficiencies (19.6%/17.7% for PM6/TT+TS, and 19.2%/17.4% for PM6/TT+PA) outperform the binary counterparts (18.3%/16.4%). However, distinct differences in mechanical performance are observed between the polymer acceptor (PA) and small-molecular acceptor (TS). The PM6/TT+PA significantly improved the mechanical stability of flexible devices with a lower elastic modulus of 3.6 GPa, while the PM6/TT+TS resulted in the opposite effect with a higher elastic modulus of 5.5 GPa. Through in-depth investigation, a clear correlation between the elastic modulus, crack density, and mechanical stability of the active layer blends is successfully established, revealing the key role of reducing the elastic modulus in enhancing the mechanical stability of flexible OSCs. This study provides important guidance for the development of flexible photovoltaic devices with both high efficiency and mechanical robustness. © 2025 The Author(s). Advanced Energy Materials published by Wiley-VCH GmbH.

关键词： Organic solar cells

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Robust Tracking Control for Quadrotor UAV using Sliding Mode Control Algorithm 2019

Robust Tracking Control for Quadrotor UAV using Sliding Mode...

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Proceedings of the 2019 8th International Conference on Networks, Communication and Computing

作者： Chaohui Du Mengyang Li Zhumu Fu Fazhan Tao School of Information Engineering Henan University of Science and Technology Luoyang China College of Physical and Electronic Information Luoyang Normal University Luoyang China Henan University of Science and Technology Henan Key Laboratory of Robot and Intelligent Systems Luoyang China

ISBN: (纸本)9781450377027

In this paper, robust tracking control for quadrotor UAV based on sliding mode control algorithms is discussed for attitude and position tracking. In detail, firstly, UAV model is built and simplified for developing the sliding mode control algorithms. Secondly, a trajectory tracking method of UAV based on sliding mode control is given based on the model. Then, the stability of the control system is proved by constructing Lyapunov function. Finally, through the Simulink simulation, compared with the traditional PD control method, it is verified that the sliding mode control has faster response speed and better anti-disturbance performance.

关键词： UAV Lyapunov function tracking stability sliding mode control

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A Novel Unet Decoding Strategy for Cervical Cell Mass Segmentation

A Novel Unet Decoding Strategy for Cervical Cell Mass Segmen...

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International Conference on Computer and Communications (ICCC)

作者： Guangqi Liu Qinghai Ding Xiang Li Moran Ju Tianming Jin Miao He Bingbing Wei Chinese Academy of Sciences State Key Laboratory of RoboticsShenyang Institute of Automation Shenyang China Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang China Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Shenyang China University of Chinese Academy of Sciences Beijing China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China Space Star Technology Company Ltd. Beijing China Dalian Maritime Uniersity Dalian China

ISBN: (纸本)9781665409513

A novel Unet decoding strategy for segmentation of cervical cell mass is proposed, which is inspired by the sub-pixel convolution. Our proposed method avoids the artificial information added by interpolation method and the noise introduced by transpose convolution method due to padding. After the implementation of the proposed method on our in-house dataset, the quantitative evaluation shows that the sub-pixel convolution has not only higher metric score but also the stable performance, and our proposed method can be used as a promising decoding method for Unet to segment the cellular clump of the cervical cell images.

关键词： Measurement Image segmentation Interpolation Convolution Decoding Biomedical imaging

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Bidirectional Engineering of Ammonium Vanadate Enables High-Reversibility Hybrid Batteries

SSRN

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SSRN 2025年

作者： Wang, Wenlong Tian, Miao Wang, Zhitao Si, Wenhui Fan, Shuang Zhang, Wenming Ying Yang, Hui Chen, Song Hebei Key Laboratory of Optic-Electronic Information and Materials National & Local Joint Engineering Laboratory of New Energy Photoelectric Devices College of Physics Science and Technology Hebei University Baoding071002 China Hebei Key Laboratory of Optic-electronic Information and Materials College of Physics Science and Technology Hebei University Baoding071002 China Henan Engineering Research Center of Design and Recycle for Advanced Electrochemical Energy Storage Material School of Materials Science and Engineering Henan Normal University Xinxiang453007 China School of Sino-German Intelligent Manufacturing Shenzhen City Polytechnic Shenzhen518100 China Pillar of Engineering Product Development Singapore University of Technology and Design 8 Somapah Road 487372 Singapore Singapore

Layered vanadium-based materials are promising for rechargeable magnesium batteries (rMBs) due to their tunable structures and high capacities. However, the strong electrostatic interactions between Mg2+ and cathode materials lead to sluggish ion diffusion and structural degradation, limiting their application. Herein, we propose an innovative bidirectional design strategy, incorporating oxygen vacancies and conductive polymer intercalation into layered ammonium vanadate (NH4V3O8), achieving excellent energy storage capability in Mg2+/Li+ hybrid batteries. First-principles calculations reveal that oxygen vacancies promote charge transfer, while the conductive polymer interlayer reduces ion diffusion barriers, thereby accelerating ion migration. Multiphysics simulations demonstrate that the ingenious architecture improves wettability and mitigates stress concentration, enhancing cycling stability. Moreover, dual-salt electrolyte optimization reduces Mg stripping/plating overpotential and improves interfacial stability. Ex-situ characterizations elucidate the dynamic evolution of vanadium valence states and the reversible Mg2+/Li+ insertion/extraction mechanism. This study provides a systematic framework for the development of advanced cathode materials towards high-performance and sustainable energy storage solutions. © 2025, The Authors. All rights reserved.

关键词： Electrolytes

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Matrix method for perturbed black hole metric with discontinuity

arXiv

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arXiv 2022年

作者： Shen, Shui-Fa Qian, Wei-Liang Lin, Kai Shao, Cheng-Gang Pan, Yu School of intelligent manufacturing Zhejiang Guangsha Vocational and Technical University of Construction Zhejiang Jinhua322100 China School of Electronic Electrical Engineering and Physics Fujian University of Technology Fujian Fuzhou350118 China Escola de Engenharia de Lorena Universidade de São Paulo SP Lorena12602-810 Brazil Faculdade de Engenharia de Guaratinguetá Universidade Estadual Paulista SP Guaratinguetá12516-410 Brazil Center for Gravitation and Cosmology School of Physical Science and Technology Yangzhou University Jiangsu Yangzhou225002 China Hubei Subsurface Multi-scale Imaging Key Laboratory Institute of Geophysics and Geomatics China University of Geosciences Hubei Wuhan430074 China MOE Key Laboratory of Fundamental Physical Quantities Measurement Hubei Key Laboratory of Gravitation and Quantum Physics PGMF School of Physics Huazhong University of Science and Technology Hubei Wuhan430074 China College of Science Chongqing University of Posts and Telecommunications Chongqing400065 China

Recent studies based on the notion of black hole pseudospectrum indicated substantial instability of the fundamental and high-overtone quasinormal modes. Besides its theoretical novelty, the details about the migration of the quasinormal mode spectrum due to specific perturbations may furnish valuable information on the properties of associated gravitational waves in a more realistic context. This work generalizes the matrix method for black hole quasinormal modes to cope with a specific class of perturbations to the metric featured by discontinuity, which is known to be intimately connected with the quasinormal mode structural instability. In practice, the presence of discontinuity poses a difficulty so that many well-known approaches for quasinormal modes cannot be straightforwardly applied. By comparing with other methods, we show that the modified matrix method is efficient, which can be used to solve for the low-lying modes with reasonable precision. Therefore, it might serve as an alternative gadget for relevant studies. Copyright © 2022, The Authors. All rights reserved.

关键词： Black holes

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Erratum to “Event-triggering-based H∞ load frequency control for multi-area cyber–physical power system under DoS attacks” [Franklin Open Volume 3, June 2023, 100012]

Franklin Open

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Franklin Open 2024年 9卷

作者： Xingyue Liu Kaibo Shi Kun Zhou Shiping Wen Yiqian Tang Lin Tang School of Electronic Information and Electrical Engineering Chengdu University Chengdu 610106 PR China Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province China Jiliang University Hangzhou 310018 PR China Engineering Research Center of Power Quality of Ministry of Education Anhui University Hefei 230601 PR China Institute of Electronic and Information Engineering of University of Electronic Science and Technology of China in Guangdong 523808 PR China Australian AI Institute Faculty of Engineering and Information Technology University of Technology Sydney Sydney NSW 2007 Australia

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