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Recent advancement in MXene-based nanomaterials for flame retardant polymers and composites

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Advanced Industrial and engineering Polymer Research 2025年

作者： Alli, Yakubu Adekunle Bamisaye, Abayomi Ejeromedoghene, Onome Jimoh, Olusegun Oluwaseun Oni, Samuel Oluwadadepo Ezeamii, Gerald Chekwube Ozoemezim, Chukwurimazu Ogunlaja, Adeniyi Sunday Abdul Rashid, Suraya Kandola, Baljinder K. Department of Chemistry Nelson Mandela University Port Elizabeth South Africa Department of Chemistry Faculty of Natural and Applied Sciences Lead City University Oyo State Ibadan Nigeria College of Chemistry Chemical Engineering and Materials Science Soochow University 199 Renai Road Jiangsu Province Suzhou215123 China Department of Pharmacology Southern Illinois University Carbondale62702 United States Department of Physics Georgia Southern University Statesboro30458 United States Department of Applied Instrumentation and Control School of Computing Engineering and Built Environment Glasgow Caledonian University United Kingdom Department of Electrical and Computer Engineering University of Florida United States Institute of Nanoscience & Nanotechnology Universiti Putra Malaysia Malaysia Institute for Materials Research and Innovation University of Bolton BoltonBL3 5AB United Kingdom

This review explores the advancements in MXene-based nanomaterials as flame-retardant additives for polymers and composites, driven by increasing fire safety demands across industries. It highlights the critical role of flame-retardant materials in mitigating fire hazards in structures, electronics, transportation, and textiles, emphasizing the need for innovative solutions due to stricter safety regulations. MXenes, a class of two-dimensional nanomaterials with unique structural properties such as high surface area, tunable composition, and superior thermal stability, are presented as promising candidates. The review discusses various synthesis and incorporation techniques for MXenes in polymer matrices, showcasing improvements in flame retardancy, mechanical properties, and thermal stability. Additionally, it emphasizes the multifunctionality of MXenes, which offer conductivity, electromagnetic shielding, and mechanical reinforcement alongside flame suppression. In conclusion, the review underscores MXenes' potential to address challenges in flame-retardant materials, advocating for further research to optimize their applications and explore synergies with other agents to enhance safety and sustainability in engineering materials. © 2025 Kingfa Scientific and Technological Co. Ltd.

关键词： Nanocomposites

Closed-loop Model Selection for Kernel-based Models using Bayesian Optimization

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Closed-loop Model Selection for Kernel-based Models using Ba...

IEEE Annual Conference on Decision and control

作者： Thomas Beckers Somil Bansal Claire J. Tomlin Sandra Hirche Chair of Information-oriented Control (ITR) Department of Electrical and Computer Engineering Technical University of Munich Munich Germany Department of Electrical Engineering and Computer Sciences UC Berkeley USA

ISBN: (数字)9781728113982

ISBN: (纸本)9781728113999

Kernel-based nonparametric models have become very attractive for model-based control approaches for nonlinear systems. However, the selection of the kernel and its hyperparameters strongly influences the quality of the learned model. Classically, these hyperparameters are optimized to minimize the prediction error of the model but this process totally neglects its later usage in the control loop. In this work, we present a framework to optimize the kernel and hyperparameters of a kernel-based model directly with respect to the closed-loop performance of the model. Our framework uses Bayesian optimization to iteratively refine the kernel-based model using the observed performance on the actual system until a desired performance is achieved. We demonstrate the proposed approach in a simulation and on a 3-DoF robotic arm.

关键词： Kernel Optimization Predictive models Data models Bayes methods Linear programming Mathematical model

EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation

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arXiv 2021年

作者： Zhao, Peng Li, Chen Rahaman, Md Mamunur Xu, Hao Ma, Pingli Yang, Hechen Sun, Hongzan Jiang, Tao Xu, Ning Grzegorzek, Marcin Microscopic Image and Medical Image Analysis Group MBIE College Northeastern University Shenyang110169 China School of Control Engineering Chengdu University of Information Technology Chengdu610225 China University of Lübeck Germany Department of Radiology Shengjing Hospital China Medical University Shenyang110122 China School of Arts and Design Liaoning Shihua University Fushun113001 China School of Computer Science and Engineering University of New South Wales Sydney Australia

Environmental microorganisms (EMs) are ubiquitous around us and have an important impact on the survival and development of human society. However, the high standards and strict requirements for the preparation of environmental microorganism (EM) data have led to the insufficient of existing related datasets, not to mention the datasets with ground truth (GT) images. This problem seriously affects the progress of related experiments. Therefore, This study develops the Environmental Microorganism Dataset Sixth Version (EMDS-6), which contains 21 types of EMs. Each type of EM contains 40 original and 40 GT images, in total 1680 EM images. In this study, in order to test the effectiveness of EMDS-6. We choose the classic algorithms of image processing methods such as image denoising, image segmentation and target detection. The experimental result shows that EMDS-6 can be used to evaluate the performance of image denoising, image segmentation, image feature extraction, image classification, and object detection methods. Copyright © 2021, The Authors. All rights reserved.

关键词： Feature extraction

BiCANet: Bi-directional contextual aggregating network for image semantic segmentation

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arXiv 2020年

作者： Zhou, Quan Cong, Dechun Kang, Bin Wu, Xiaofu Zheng, Baoyu Lu, Huimin Latecki, Longin Jan National Engineering Research Center of Communications and Networking Nanjing University of Posts & Telecommunications Nanjing Jiangsu China Department of Internet of Things Nanjing University of Posts & Telecommunications Nanjing Jiangsu China Department of Mechanical and Control Engineering Kyushu Institute of Technology Kitakyushu Fukuoka Japan Department of Computer and Information Sciences Temple University PhiladelphiaPA United States

Exploring contextual information in convolutional neural networks (CNNs) has gained substantial attention in recent years for semantic segmentation. This paper introduces a Bi-directional Contextual Aggregating Network, called BiCANet, for semantic segmentation. Unlike previous approaches that encode context in feature space, BiCANet aggregates contextual cues from a categorical perspective, which mainly consists of three parts: contextual condensed projection block (CCPB), bidirectional context interaction block (BCIB), and muti-scale contextual fusion block (MCFB). More specifically, CCPB learns a category-based mapping through a split-transform-merge architecture, which condenses contextual cues with different receptive fields from intermediate layer. BCIB, on the other hand, employs dense skipped-connections to enhance the class-level context exchanging. Finally, MCFB integrates multi-scale contextual cues by investigating short- and long-ranged spatial dependencies. To evaluate BiCANet, we have conducted extensive experiments on three semantic segmentation datasets: PASCAL VOC 2012, Cityscapes, and ADE20K. The experimental results demonstrate that BiCANet outperforms recent state-of-the-art networks without any postprocess techniques. Particularly, BiCANet achieves the mIoU score of 86.7%, 82.4% and 38.66% on PASCAL VOC 2012, Cityscapes and ADE20K testset, respectively. Our code is open-source and is publicly available at https://***/cdcnjupt/BCANet. Copyright © 2020, The Authors. All rights reserved.

关键词： Semantic Segmentation

Balanced truncation of k-positive systems

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arXiv 2020年

作者： Grussler, Christian Damm, Tobias Sepulchre, Rodolphe The Department of Electrical Engineering and Computer Sciences UC Berkeley BerkeleyCA94720 United States The Department of Mathematics at TU Kaiserslautern Fraunhofer ITWM Gottlieb-Daimler-Straße 48 Kaiserslautern67663 Germany The Control Group The Department of Engineering University of Cambridge Trumpington Street CambridgeCB2 1PZ United Kingdom

This paper considers balanced truncation of discrete-time Hankel k-positive systems, characterized by Hankel matrices whose minors up to order k are nonnegative. Our main result shows that if the truncated system has order k or less, then it is Hankel totally positive (∞-positive), meaning that it is a sum of first order lags. This result can be understood as a bridge between two known results: the property that the first-order truncation of a positive system is positive (k = 1), and the property that balanced truncation preserves state-space symmetry. It provides a broad class of systems where balanced truncation is guaranteed to result in a minimal internally positive *** Codes 47A58, 93A15, 93A30 Copyright © 2020, The Authors. All rights reserved.

关键词： Matrix algebra

Conceptual Foundations of the Use of Formal Models and Methods for the Rapid Creation of Web Applications

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Conceptual Foundations of the Use of Formal Models and Metho...

IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems

作者： Sergii Telenyk Grzegorz Nowakowski Eduard Zharikov Jewhenii Vovk Department of Theoretical Electrical Engineering and Computer Science Faculty of Electrical and Computer Engineering Cracow University of Technology Department of Automatic Control and Information Technology Faculty of Electrical and Computer Engineering Cracow University of Technology Department of Automation and Control in Technical Systems National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"

ISBN: (纸本)9781728140704

The problem of the rapid creation of effective web applications of one class using formal means is considered. A conceptual approach to its solution is offered based on an analysis of the peculiarities of the construction of web applications. Our approach is based on defining the standard web application architecture and selecting its components using formal methods in accordance with user requirements. A formal logical system is proposed that uses the design of web applications as a process of outputting a formula specified according to the needs of the user, which defines the schemes of execution of the modules of the system. An important feature of this approach is the ability to visualise the process of designing the system in 3D, which creates the conditions for effective interaction between developers and machine development tools.

关键词： Web-applications Application construction Business processes Mathematical logic web applications Mathematical logic conceptual User needs Developers

Linear system identification under multiplicative noise from multiple trajectory data

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arXiv 2020年

作者： Xing, Yu Gravell, Ben He, Xingkang Johansson, Karl H. Summers, Tyler Key Lab of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences Beijing China Department of Mechanical Engineering University of Texas Dallas RichardsonTX United States Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden

The study of multiplicative noise models has a long history in control theory but is re-emerging in the context of complex networked systems and systems with learning-based control. We consider linear system identification with multiplicative noise from multiple state-input trajectory data. We propose exploratory input signals along with a least-squares algorithm to simultaneously estimate nominal system parameters and multiplicative noise covariance matrices. The asymptotic consistency of the least-squares estimator is demonstrated by analyzing first and second moment dynamics of the system. The results are illustrated by numerical simulations. Copyright © 2020, The Authors. All rights reserved.

关键词： Linear systems

Distributed link removal strategy for networked Meta-Population epidemics and its application to the control of the COVID-19 pandemic

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arXiv 2020年

作者： Liu, Fangzhou Chen, Yuhong Liu, Tong Zhou, Zibo Xue, Dong Buss, Martin Department of Electrical and Computer Engineering Technical University of Munich Theresienstr. 90 Munich80333 Germany Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China

In this paper, we investigate the distributed link removal strategy for networked meta-population epidemics. In particular, a deterministic networked susceptible-infected-recovered (SIR) model is considered to describe the epidemic evolving process. In order to curb the spread of epidemics, we present the spectrum-based optimization problem involving the Perron-Frobenius eigenvalue of the matrix constructed by the network topology and transition rates. A modified distributed link removal strategy is developed such that it can be applied to the SIR model with heterogeneous transition rates on weighted digraphs. The proposed approach is implemented to control the COVID-19 pandemic by using the reported infected and recovered data in each state of Germany. The numerical experiment shows that the infected percentage can be significantly reduced by using the distributed link removal strategy. Copyright © 2020, The Authors. All rights reserved.

关键词： Eigenvalues and eigenfunctions

Seasonal characteristics analysis and uncertainty measurement for wind speed time series

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Energy engineering: Journal of the Association of Energy engineering 2020年第5期117卷 289-299页

作者： Deng, Xing Shao, Haijian Wang, Xia School of Computer Science Jiangsu University of Science and Technology Zhenjiang212003 China School of Automation Key Laboratory of Measurement and Control for CSE Ministry of Education Southeast University Nanjing210096 China School of Information Science and Technology Nantong University Nantong226019 China Department of Electrical and Computer Engineering National University of Singapore 117583 Singapore

Wind speed’s distribution nature such as uncertainty and randomness imposes a challenge in high accuracy forecasting. Based on the energy distribution about the extracted amplitude and associated frequency, the uncertainty measurement is processed through Rényi entropy analysis method with time-frequency nat-ure. Nonparametric statistical method is used to test the randomness of wind speed, more precisely, whether or not the wind speed time series is independent and iden-tically distribution (i.i.d) based on the output probability. Seasonal characteristics of wind speed are analyzed based on self-similarity in periodogram under scales range generated by wavelet transformation to reasonably divide the original dataset and effectively reflect the seasonal distribution characteristics. Experimental evaluation based on the dataset from National Renewable Energy Laboratory (NREL) is given to demonstrate the performance of the proposed approach. © 2020, Tech Science Press. All rights reserved.

关键词： Wind speed