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Multi-action self-healing coatings with simultaneous recovery of corrosion resistance and adhesion strength

Journal of Materials science & Technology 2022年第6期101卷 18-27页

作者： Chenhao Ren Yao Huang Wenkui Hao Dawei Zhang Xiejing Luo Lingwei Ma Jinke Wang Thee Chowwanonthapunya Chaofang Dong Xiaogang Li Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China National Materials Corrosion and Protection Data Center University of Science and Technology BeijingBeijing 100083China State Key Laboratory of Advanced Power Transmission Technology(Global Energy Interconnection Research Institute Co.Ltd.) Beijing 100083China Faculty of International Maritime Studies Kasetsart UniversitySriracha Campus199 TungsuklaSrirachaChonburi 20230Thailand BRI Southeast Asia Network for Corrosion and Protection(MOE) Shunde Graduate School of University of Science and Technology BeijingFoshan 528300China

In this study, a new self-healing strategy that can simultaneously recover the corrosion resistance and the adhesion strength of coatings was introduced. The coating was based on a shape memory epoxy resin containing ethylene vinyl acetate(EVA) microspheres loaded with Ce(NO_(3))_(3)inhibitors, and was cured at a relatively high temperature to facilitate the fusion of adjacent microspheres for a strengthened self-healing effect. The electrochemical impedance spectroscopy(EIS) and scanning electrochemical microscopy(SECM) results demonstrated that the shape memory effect of epoxy matrix, the filling of molten EVA microspheres as well as the release of Ce(NO_(3))_(3)inhibitors contributed synergistically to suppress the corrosion reaction at the coating damage. After healing, the low frequency impedance modulus of the coatings containing Ce(NO_(3))_(3)-EVA microspheres was three orders of magnitude higher than that of the blank epoxy coating. The adhesion strength of the coatings containing Ce(NO_(3))_(3)-EVA microspheres on the metal substrate was also largely repaired thanks to the strong bonding effect of the EVA microspheres.

关键词： Self-healing coating Corrosion protection Adhesion strength Shape memory effect Bonding effect

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Extraction of Key Environmental Factors and Construction of the data-Driven Model for Atmospheric Aging of Polyurethane Coatings

Extraction of Key Environmental Factors and Construction of ...

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Chinese Control Conference (CCC)

作者： Zhijian Bai Dongmei Fu Guangxuan Song Lizheng Shao Dawei Zhang Beijing Engineering Research Center of Industrial Spectrum Imaging School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Shunde Innovation School of University of Science and Technology Beijing Foshan China National Materials Corrosion and Protection Data Center University of Science and Technology Beijing Beijing China Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials & Technology University of Science and Technology Beijing Beijing China

Coating protection is an economical and effective means to prevent the corrosion of metal materials during service. However, organic coatings exposed to the atmospheric environment will also be subject to aging due to various environmental factors. In this paper, aiming at the problem that the mechanism of polyurethane coating atmospheric aging system is unclear and the aging law is difficult to analyze quantitatively, a framework for mining the influencing law of polyurethane coating atmospheric aging is proposed. Firstly, the Clustering Feature Elimination (CFE) algorithm is proposed to solve the problem that the key environmental factors are difficult to determine due to the complex mechanism of coating atmospheric aging. Secondly, based on Random Forest Regression (RFR), the atmospheric aging data-driven model of Polyurethane coating with key environmental factors as input is constructed. Finally, the influence rules of key environmental factors are mined using the model visualization method. The results show that the key environmental factors screened by the CFE algorithm are more consistent with the general law of coating atmospheric aging. The atmospheric aging model of polyurethane coating based on these key environmental factors has higher prediction accuracy. The coating aging law obtained by four-dimensional visualization can further reveal the mechanism of coating atmospheric aging.

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Rectified Artificial Neural Networks for Long-term Force Sensing in Piezoelectric Touch Panels

Research Square

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Research Square 2023年

作者： Liu, Yong Gao, Qihang Zhang, Ran Gao, Shuo Huang, Anbiao Wang, Wenshuo Beihang University China The School of Instrumentation and Optoelectronic Engineering Beijing Advanced Innovation Center for Big Data-Based Precision Medicine Interdisciplinary Innovation Institute of Medicine and Engineering Beihang University Beijing100191 China The School of Automation Science and Electrical Engineering Beihang University Beijing China

Human-machine interface based on force touch panel has attract enormous attention, for the merits of high human-machine interaction efficiency. Many studies and researches are devoted to diverse force touch technologies. Broad applications in both actual use and research have been developed, such as 3D Touch and force-based keystroke authentication. The fruitful results are based on the assumption that users’ touch habits remain unchanged along the time, thus a stationary customized force sensing model can be build. However, in long-term use, users’ touch habits changed due to time-drifting and specific-event, causing stationary force sensing model’s performance decreased. To address this issue, a rectified artificial neural network for long-term force sensing in piezoelectric touch panels is presented in this paper. With additional information of touching time and sign of specific-event, the predictions of force level are rectified, achieving an accuracy of 94.79% on long-term data set. The proposed technique enables customized force sensing in long-term use and enhancing human-machine interactive efficiency. © 2023, CC BY.

关键词： Neural networks

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Momentum transfer dependence of kaon semileptonic form factor on (10 fm)4 at the physical point 39

Momentum transfer dependence of kaon semileptonic form facto...

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39th International Symposium on Lattice Field Theory, LATTICE 2022

作者： Yamazaki, Takeshi Ishikawa, Ken-Ichi Ishizuka, Naruhito Kuramashi, Yoshinobu Namekawa, Yusuke Taniguchi, Yusuke Ukita, Naoya Yoshié, Tomoteru Faculty of Pure and Applied Sciences University of Tsukuba Ibaraki Tsukuba305-8571 Japan Center for Computational Sciences University of Tsukuba Ibaraki Tsukuba305-8577 Japan Core of Research for the Energetic Universe Graduate School of Advanced Science and Engineering Hiroshima University Higashi-Hiroshima739-8526 Japan Education and Research Center for Artificial Intelligence and Data Innovation Hiroshima University Higashi-Hiroshima739-8521 Japan

We calculate the kaon semileptonic form factors using the two sets of the PACS10 configuration, whose physical volumes are more than (10 fm)4 at the physical point. The lattice spacings are 0.063 and 0.085 fm. The configurations were generated using the Iwasaki gauge action and Nf = 2 + 1 stout-smeared nonperturbatively O(a)-improved Wilson quark action. From the momentum transfer dependence of the form factors, we evaluate the slope and curvature for the form factors at the zero momentum transfer. Furthermore, we calculate the phase space factor, which is used to obtain |Vus| through the kaon semileptonic decay. These results are compared with previous lattice results and experimental values. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).

关键词： Momentum transfer

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Adversarial Examples for Captcha Generation Adversarial Machine Learning for Social Good

SSRN

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SSRN 2023年

作者： Hajaj, Chen Litman, Meir Department of Industrial Engineering and Management Ariel University 40700 Israel Data Science and Artificial Intelligence Research Center Ariel University 40700 Israel Ariel Cyber Innovation Center Ariel University 40700 Israel

The increasing computational power and sophistication of Machine Learning (ML) methods pose significant challenges to traditional CAPTCHA mechanisms designed to differentiate between humans and ML-based bots. To counteract these evolving threats, this research proposes a novel real-time noise generation method with an intelligent spread mechanism to produce cleaner adversarial examples. Unlike conventional CAPTCHA methods that randomly select the target deceiving class, our approach leverages the statistical properties of image classifiers or datasets used in the generation process. We evaluate our methodology on state-of-the-art network architectures, emphasizing real-time efficiency and judicious control of added noise. Our findings demonstrate the effectiveness and efficiency of our approach, enabling the generation of high-quality adversarial examples in real time while minimizing the added noise. These advancements contribute to enhancing the practicality and security of CAPTCHA systems in differentiating between humans and automated bots, signifying a marked improvement in the broader domain of computer security. © 2023, The Authors. All rights reserved.

关键词： Network architecture

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Microstructure and Localized Corrosion Properties of 2219 Aluminum Alloy Manufactured by Additive Friction Stir Deposition

SSRN

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SSRN 2024年

作者： Wang, Zikang Qian, Hongchang Chang, Weiwei Yu, Zhihao Qiao, Qian Zhou, Min Guo, Dawei Zhang, Dawei Kwok, Chi Tat Tam, Lap Mou Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and Technology University of Science and Technology Beijing Beijing100083 China National Materials Corrosion and Protection Data Center University of Science and Technology Beijing Beijing100083 China Shunde Innovation School of University of Science and Technology Beijing Foshan528399 China Co. Ltd. Guangdong China Department of Electromechanical Engineering University of Macau Macao China

Multi-layer 2219 aluminum alloy samples were successfully fabricated using additive friction stir deposition (AFSD). AFSD deposition reduced grain size and the size of intermetallic Al2Cu particles, but greatly increased the amount of Al2Cu particles. More Al2Cu particles increased the number of galvanic microcells on alloy surface and at the grain boundaries, which promoted the localized corrosion and improved the intergranular corrosion sensitivity of AFSD alloy. Subsequent T6 heat treatment had little effect on grain size but enhanced the corrosion resistance of AFSD alloy, primarily attributed to the reduction in Al2Cu particles and the elimination of dislocations within grains. © 2024, The Authors. All rights reserved.

关键词： Aluminum alloys

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Efficient Named Entity Recognition Based on Broad Learning System and BERT 4

Efficient Named Entity Recognition Based on Broad Learning S...

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4th International Conference on data-Driven Optimization of Complex Systems, DOCS 2022

作者： Wang, Yudi Zuo, Yi Li, Tieshan Philip Chen, C.L. Dalian Maritime University Navigation College Dalian China Dalian Maritime University Collaborative Innovation Center of Maritime Big Data & Artificial General Intelligence Navigation College Dalian China University of Electronic Science and Technology of China School of Automatic Engineering Chengdu China

ISBN: (数字)9781665459822

ISBN: (纸本)9781665459822

In this paper, we propose an efficient approach for named entity recognition (NER). This paper applies the broad learning system (BLS) to NER task, which includes the feature learning and incremental learning processes. In the feature learning of BLS, the calculation of each new feature node involves only matrix multiplication, and can effectively reduce the amount of calculation to improve efficiency in obtaining rich features. In the incremental learning of BLS, the feature nodes are calculated by active function and ridge regression in order to obtain incremental nodes. In this paper, we combine the BLS with bidirectional encoder representations from transformers (BERT) and conditional random fields (CRF) algorithms to conduct NER of English corpus. Firstly, we extract features through BERT. Secondly, we use BLS to calculate the extracted features. Finally, we apply CRF to decoding features. In numerical experiments, NER of English corpus based on BIO schema is used as benchmark, And the proposed method shows higher accuracy and faster training than other baseline methods. © 2022 IEEE.

关键词： Learning systems

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Domain generalized solar cell defect segmentation based on shape-aware and multi-view meta-learning

Domain generalized solar cell defect segmentation based on s...

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第42届中国控制会议

作者： Kun Liu Ying Yang Jingkun Mao Weipeng Liu School of Artificial Intelligence and Data Science Hebei University of Technology Control Engineering Technology Innovation Center of Hebei Province Hebei University of Technology Department of Automation Tianjin University of Technology

Various defects are inevitably generated in the manufacturing process of solar *** learning-based methods for defect segmentation under closed situation have achieved remarkable *** to the difference of imaging condition and camera parameter under different production line,there are large differences in brightness distribution of solar cell *** model trained under closed situation cannot achieve good performance in opened situation such as multi-production *** this paper,a new shape-aware and multi-view meta-learning scheme is proposed to improve the model generalization performance for single-domain solar cell defect *** scheme roots in gradient-based *** view information is yielded from the generated augmented images,and explicitly simulating domain shift with virtual meta-train and meta-test during training to mitigate overfitting in single-source domain train and unstable ***,considering tiny and faint solar cell defects are not easily identified under different image brightness conditions,shape edge constraint loss is proposed to encourage shape compactness and shape smoothness of *** results show that the proposed method has high segmentation accuracy,which outperforms the state-of-the-art methods.

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A review of travel behavioural pattern using GPS dataset: A systematic literature review

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Measurement: Sensors 2024年 32卷

作者： Sivalingam, Prahaladhan Asirvatham, David Marjani, Mohsen Syed Masood, Jafar Ali Ibrahim Chakravarthy, N.S. Kalyan Veerisetty, Gopinath Lestari, Martha Tri Faculty of Innovation & Technology Taylor's University Subang Jaya Malaysia Department of Internet of Things School of Computer Science and Engineering Vellore Institute of Technology Tamilnadu Vellore632 014 India Center for Data Science School of Computer Science and Engineering QIS College of Engineering and Technology Andhra Pradesh Ongole523272 India Department of Mechanical Engineering QIS College of Engineering and Technology Andhra Pradesh Ongole523272 India Department of Business Communication Telkom University Indonesia

In the last few years, the Global positioning system (GPS) has been used to study travel patterns with the advancement of data collection techniques. A GPS device precisely records the time and the location data of an individual travel. The accuracy of travel studies is usually improved by integrating travel surveys or travel activity diaries with GPS data. GPS surveys are implemented to replace paper-based techniques and reduce human error on trip-misreporting issues. Several reviews have been performed previously on GPS travel studies. Still, a detailed systematic review on the comparison of different modes and methods on the entire procedure of GPS data processing has not been thoroughly studied. This review identified 116 peer-reviewed studies and journal papers from 2013 to 2020, and 53 papers were studied. The review focused on travel behavior pattern (TBP) analysis using GPS studies only and a combination of travel surveys. Our review reveals that 53 only 40 have quality assessment scores of >50 %, meaning the remaining TBP studies are conventional methods. The study also benefits data analysis and researchers to select the most appropriate data collection techniques for studying TBP and improvise them further for meta-analysis travel behavior studies. © 2024 The Authors

关键词： Global positioning system

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Epidemiology,pathogenesis,and management of coronavirus disease 2019-associated stroke

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Frontiers of Medicine 2023年第6期17卷 1047-1067页

作者： Lu Liu Chenxia Zhou Huimin Jiang Huimin Wei Yifan Zhou Chen Zhou Xunming Ji Department of Neurology Xuanwu HospitalCapital Medical UniversityBeijing 100032China Neurology and Intracranial Hypertension and Cerebral Venous Disease Center National Health Commission of ChinaXuanwu HospitalCapital Medical UniversityBeijing 100032China Beijing Institute of Brain Disorders Capital Medical UniversityBeijing 100069China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Biological Science and Medical EngineeringBeihang UniversityBeijing 100191China Department of Neurology Beijing Shjitan HospitalCapital Medical UniversityBeijing 100038China Department of Neurosurgery Xuanwu HospitalCapital Medical UniversityBeijing 100032China

The coronavirus disease 2019(COVID-19)epidemic has triggered a huge impact on healthcare,socioeconomics,and other aspects of the world over the past three *** increasing number of studies have identified a complex relationship between COVID-19 and stroke,although active measures are being implemented to prevent disease *** COVID-19 may be associated with an increased risk of stroke and increase the rates of disability and mortality,posing a serious challenge to acute stroke diagnosis,treatment,and *** review aims to provide an update on the influence of COVID-19 itself or vaccines on stroke,including arterial stroke(ischemic stroke and hemorrhagic stroke)and venous stroke(cerebral venous thrombosis).Additionally,the neurovascular mechanisms involved in SARS-CoV-2 infection and the clinical characteristics of stroke in the COVID-19 setting are *** on vaccinations,potential therapeutic approaches,and effective strategies for stroke management has been highlighted.

关键词： SARS-CoV-2 ischemic stroke stroke hemorrhagic stroke cerebral venous thrombosis vaccination

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