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

Advanced Industrial and engineering Polymer Research 2025年

作者： Yakubu Adekunle Alli Abayomi Bamisaye Onome Ejeromedoghene Olusegun Oluwaseun Jimoh Samuel Oluwadadepo Oni Gerald Chekwube Ezeamii Chukwurimazu Ozoemezim Adeniyi Sunday Ogunlaja Suraya Abdul Rashid Baljinder K. Kandola Department of Chemistry Nelson Mandela University Port Elizabeth South Africa Department of Chemistry Faculty of Natural and Applied Sciences Lead City University Ibadan Oyo State Nigeria College of Chemistry Chemical Engineering and Materials Science Soochow University 199 Renai Road 215123 Suzhou Jiangsu Province PR China Department of Pharmacology Southern Illinois University Carbondale 62702 USA Department of Physics Georgia Southern University Statesboro 30458 USA Department of Applied Instrumentation and control school of Computing Engineering and Built Environment Glasgow Caledonian University UK Department of Electrical and Computer Engineering University of Florida Institute of Nanoscience & Nanotechnology Universiti Putra Malaysia Institute for Materials Research and Innovation University of Bolton Bolton BL3 5AB UK

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.

关键词： MXene flame-retardant nanomaterials polymer

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Quantifying Roll Feel of a Vehicle by Measurement of Driver's Body Motion

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International Journal of Automotive engineering 2021年第3期12卷 86-93页

作者： Izawa, Masaki Goyal, Aman Nomura, Takeshi Wada, Naomi Hirose, Takahiro Chang, Szu Chi Misaji, Kazuhito Hitachi Astemo Ltd. Chassis Business Division Suspension Business Unit System Control Design Department 112-1 Haga-dai Haga-machi Haga-gun Tochigi Japan Yamaguchi University Joint Faculty of Veterinary Medicine 1677-1 Yoshida Yamaguchi-shi Yamaguchi Japan Nihon University College of Industrial Technology Department of Mathematical Information Engineering Graduate School 1-2-1 Izumi-cho Narashino-shi Chiba Japan Nihon University College of Industrial Technology Department of Mathematical Information Engineering 1-2-1 Izumi-cho Narashino-shi Chiba Japan

This paper presents a study to quantify the difference in roll feel experienced by the driver with a change in damper characteristics between "comfort" and "sport" mode. The vehicle and driver's motion are measured during the double lane change maneuver. In "sport" mode, the timing of steering operation was found to be faster (P = 0.0456), which can be explained by the driver being able to make quick upper body corrections to resist the slow vehicle roll motion. This difference in steering operation because of the man-machine feedback system can be considered as an objective measure to quantify roll feel. © 2021 Society of Automotive Engineers of Japan, Inc. All Rights Reserved.

关键词： Sports

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Human-in-the-Loop Issue in Context of the Cyber-Physical systems

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IFAC-PapersOnLine 2018年第6期51卷 225-230页

作者： Jirgl, M. Bradac, Z. Fiedler, P. Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Technicka 3082/12 Brno616 00 Czech Republic

This paper presents the introduction to the Human-in-the-loop issue connected to the concept of the Cyber-physical systems (CPS). In this context, the brief overview of CPS is provided, with emphasis on the role of human in cooperation with CPS. Such systems are often called Human-in-the-Loop Cyber-Physical systems (HiLCPSs). The following part of this paper brings the short background of HiLCPS and approaches for human performance assessment. The last part deals with example of human performance assessment based on the real data. For these purposes, several approaches is used, e.g. evaluation of measured human responses or evaluation of human dynamic properties based on the modelling of human behavior. The input data was collected using measurements with real human/pilots. Due to many realized tests with pilots in the different stage of training, there is statistically relatively significant set of input data. © 2018

关键词： Behavioral research Cyber Physical system Embedded systems Human engineering Input output programs Cyber Physical system (CPS) Different stages HiLCPS Human behaviors Human Model Human performance Human performance assessment Human in the loop

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Testing the E-PEAS Energy Management circuit for Embedded systems

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IFAC-PapersOnLine 2018年第6期51卷 432-437页

The goal of this paper is to present the possibilities of energy harvesting using the modern components called energy management systems. These circuits are integral parts of modern energy harvesting systems and are responsible for management of power supply, energy storage and flow of energy between individual components. This paper focuses on the E-PEAS AEM10940 circuit. It is a small device usable for low power embedded systems. Thus, its basic characteristic and properties obtained by repeated short-term and long-term measurements are presented and evaluated. © 2018

关键词： Energy management systems Embedded systems Energy harvesting Energy management Maximum power point trackers Solar cells Timing circuits Basic characteristics Energy harvesting systems Flow of energy Individual components Integral part Long term measurements Low power embedded systems Small devices

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A Study on Influences of Metal Materials on Electromagnetic Field Generated by Pure DC and Combined DC 57

A Study on Influences of Metal Materials on Electromagnetic ...

引用

57th Annual Conference of the Society of Instrument and control Engineers of Japan, SICE 2018

作者： Sriratana, Witsarut Kaewnamchai, Vanisara Sriratana, Erdlekha Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Department of Instrumentation and Control Engineering Thailand Faculty of Engineering Ramkhamhaeng University Department of Industrial Engineering Thailand

ISBN: (纸本)9784907764609

This paper presents the classification of metals materials by application of Hall Effect sensor based on the eddy current method with non-destructive testing. The electromagnetic field was generated by winding an SWG 22 wire onto the ferrite core to create a solenoid. Two measurement systems are used. One uses a Pure DC supply as the excitation voltage of the electromagnetic field of the Hall Effect sensor system;while the other uses a combination of AC and DC supply, which is amplified through an integrated Class-A amplifier circuit, as the excitation voltage. Three different metal samples, namely, steel, aluminum and stainless steel were used as specimen. Current test conducted to determine the suitable current level revealed that a 0.8 A current is safe to allow tests to be conducted. Results show that the Combined DC system is capable to classify conductive materials, where the Pure DC system lacks in this functionality. The Output voltage of Hall Effect sensor to test with steel, aluminum and stainless steel is 4.68 V, 1.74 V and 3.63 V, respectively. Furthermore, the use of the Combined DC system enables aluminum thickness to be distinguished. The tolerance of the system measuring the materials when using the Pure DC and Combined DC are pm 0.0697% and pm 0.58530% respectively. © 2018 The Society of Instrument and control Enginners - SICE.

关键词： Conductive materials

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Efficient MedSAMs: Segment Anything in Medical Images on Laptop

arXiv

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arXiv 2024年

作者： Ma, Jun Li, Feifei Kim, Sumin Asakereh, Reza Le, Bao-Hiep Nguyen-Vu, Dang-Khoa Pfefferle, Alexander Wei, Muxin Gao, Ruochen Lyu, Donghang Yang, Songxiao Purucker, Lennart Marinov, Zdravko Staring, Marius Lu, Haisheng Dao, Thuy Thanh Ye, Xincheng Li, Zhi Brugnara, Gianluca Vollmuth, Philipp Foltyn-Dumitru, Martha Cho, Jaeyoung Mahmutoglu, Mustafa Ahmed Bendszus, Martin Pflüger, Irada Rastogi, Aditya Ni, Dong Yang, Xin Zhou, Guang-Quan Wang, Kaini Heller, Nicholas Papanikolopoulos, Nikolaos Weight, Christopher Tong, Yubing Udupa, Jayaram K. Patrick, Cahill J. Wang, Yaqi Zhang, Yifan Contijoch, Francisco McVeigh, Elliot Ye, Xin He, Shucheng Haase, Robert Pinetz, Thomas Radbruch, Alexander Krause, Inga Kobler, Erich He, Jian Tang, Yucheng Yang, Haichun Huo, Yuankai Luo, Gongning Kushibar, Kaisar Amankulov, Jandos Toleshbayev, Dias Mukhamejan, Amangeldi Egger, Jan Pepe, Antonio Gsaxner, Christina Luijten, Gijs Fujita, Shohei Kikuchi, Tomohiro Wiestler, Benedikt Kirschke, Jan S. de la Rosa, Ezequiel Bolelli, Federico Lumetti, Luca Grana, Costantino Xie, Kunpeng Wu, Guomin Puladi, Behrus Martín-Isla, Carlos Lekadir, Karim Campello, Victor M. Shao, Wei Brisbane, Wayne Jiang, Hongxu Wei, Hao Yuan, Wu Li, Shuangle Zhou, Yuyin Wang, Bo AI Collaborative Centre University Health Network Department of Laboratory Medicine and Pathobiology University of Toronto Vector Institute Toronto Canada Peter Munk Cardiac Centre University Health Network Toronto Canada Toronto General Hospital Research Institute University Health Network Department of Computer Science University of Toronto University Health Network Vector Institute Toronto Canada University of Science Vietnam National University Ho Chi Minh City Viet Nam Institute of Computer Science University of Freiburg Freiburg Germany School of Medicine and Health Harbin Institute of Technology Harbin China Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands Department of System and Control Engineering School of Engineering Institute of Science Tokyo Formerly Tokyo Institute of Technology Tokyo Japan Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Electrical Engineering and Computer Science University of Queensland Brisbane Australia School of Cyberspace Hangzhou Dianzi University Hangzhou China Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany Division for Computational Radiology and Clinical AI Department of Neuroradiology University Hospital Bonn Germany School of Biomedical Engineering Shenzhen University Shenzhen China School of Biological Science and Medical Engineering Southeast University Nanjing China Department of Urology Cleveland Clinic Cleveland United States Department of Computer Science University of Minnesota Minneapolis United St

Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice. In this work, we organized the first international competition dedicated to promptable medical image segmentation, featuring a large-scale dataset spanning nine common imaging modalities from over 20 different institutions. The top teams developed lightweight segmentation foundation models and implemented an efficient inference pipeline that substantially reduced computational requirements while maintaining state-of-the-art segmentation accuracy. Moreover, the post-challenge phase advanced the algorithms through the design of performance booster and reproducibility tasks, resulting in improved algorithms and validated reproducibility of the winning solution. Furthermore, the best-performing algorithms have been incorporated into the open-source software with a user-friendly interface to facilitate clinical adoption. The data and code are publicly available to foster the further development of medical image segmentation foundation models and pave the way for impactful real-world applications. © 2024, CC BY-NC-SA.

关键词： Open source software

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State of the Art of Audio- and Video-Based Solutions for AAL

arXiv

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arXiv 2022年

作者： Aleksic, Slavisa Atanasov, Michael Agius, Jean Calleja Camilleri, Kenneth Čartolovni, Anto Climent-Pérez, Pau Colantonio, Sara Cristina, Stefania Despotovic, Vladimir Ekenel, Hazım Kemal Erakin, Ekrem Florez-Revuelta, Francisco Germanese, Danila Grech, Nicole Sigurðardóttir, Steinunn Gróa Emirzeoğlu, Murat Iliev, Ivo Jovanovic, Mladjan Kampel, Martin Kearns, William Klimczuk, Andrzej Lambrinos, Lambros Lumetzberger, Jennifer Mucha, Wiktor Noiret, Sophie Pajalic, Zada Pérez, Rodrigo Rodriguez Petrova, Galidiya Petrovica, Sintija Pocta, Peter Poli, Angelica Pudane, Mara Spinsante, Susanna Salah, Albert Ali Santofimia, Maria Jose Islind, Anna Sigríður Stoicu-Tivadar, Lacramioara Tellioğlu, Hilda Zgank, Andrej Leipzig University of Applied Sciences Germany TU Wien Austria Department of Anatomy University of Malta Malta Centre for Biomedical Cybernetics Faculty of Engineering Department of Systems and Control Engineering Malta Catholic University of Croatia Croatia Universidad de Alicante Spain Institute of Information Science and Technologies The National Research Council of Italy Italy Department of Systems and Control Engineering University of Malta Malta University of Luxembourg Luxembourg Dept. of Computer Engineering Istanbul Technical University Turkey Reykjavik University School of Computer Science Iceland Sağlık Bilimleri Fakültesi Fizyoterapi ve Rehabilitasyon Karadeniz Technical University Research Information System Turkey TU Sofia Bulgaria Singidunum University Belgrade Serbia University of South Florida United States SGH Warsaw School of Economics Poland Department of Communication and Internet Studies Cyprus University of Technologies Cyprus Technical University of Vienna Austria VID Specialized University Oslo Norway Getafe University Hospital Spain Riga Technical University Latvia University of Zilina Slovakia Università Politecnica Marche Italy Utrecht University Netherlands Universidad de Castilla-La Mancha Spain Reykjavik University Iceland University Politehnica Timisoara Romania University of Maribor Slovenia

It is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action. Active and Assisted Living (AAL) technologies come as a viable approach to help facing these challenges, thanks to the high potential they have in enabling remote care and support. Broadly speaking, AAL can be referred to as the use of innovative and advanced Information and Communication Technologies to create supportive, inclusive and empowering applications and environments that enable older, impaired or frail people to live independently and stay active longer in society. AAL capitalizes on the growing pervasiveness and effectiveness of sensing and computing facilities to supply the persons in need with smart assistance, by responding to their necessities of autonomy, independence, comfort, security and safety. The application scenarios addressed by AAL are complex, due to the inherent heterogeneity of the end-user population, their living arrangements, and their physical conditions or impairment. Despite aiming at diverse goals, AAL systems should share some common characteristics. They are designed to provide support in daily life in an invisible, unobtrusive and user-friendly manner. Moreover, they are conceived to be intelligent, to be able to learn and adapt to the requirements and requests of the assisted people, and to synchronise with their specific needs. Nevertheless, to ensure the uptake of AAL in society, potential users must be willing to use AAL applications and to integrate them in their daily environments and lives. In this respect, video- and audio-based AAL applications have several advantages, in terms of unobtrusiveness and information richness. Indeed, cameras and microphones are far less obtrusive with respect to the hindrance other wearable sensors may

关键词： Computer vision

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Using Matlab-based Driving Simulator for Human Factor Assessment

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IFAC-PapersOnLine 2019年第27期52卷 27-32页

作者： M. Jirgl P. Fiedler Z. Bradac Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Technicka 3082/12 616 00 Brno Czech Republic

We discuss the possibility of using simulation technologies for human factor assessment. In this context, a simple car-driving simulator was developed in MATLAB/Simulink. A human driver controls a simulated drive via an input HCI (Human-Computer Interface) device, i.e., a joystick or a steering wheel with pedals, exploiting the perception of the current situation in the visualized scene. To enable the human factor assessment, several testing scenarios were designed and implemented; some of these were subsequently used for measuring the driver’s responses to the simple visual stimuli. We analyzed the acquired data and evaluated the basic parameters of the human operator, such as the reaction delay or the attitude to control. The results indicate the potential for more complex experiments in this field.

关键词： human factor human-machine interface vehicle simulator human model reaction delay

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Adaptive Human control Model and its Usability in Modeling of Human-in-the-loop Cyber Physical systems

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IFAC-PapersOnLine 2019年第27期52卷 415-420页

作者： M. Jirgl Z. Bradac P. Fiedler Department of Control and Instrumentation Faculty of Electrical Engineering and Communication Brno University of Technology Technicka 3082/12 616 00 Brno Czech Republic

This paper discusses usability of an adaptive human control model in the context of a simple Human-in-the-loop Cyber Physical systems (HiLCPS). The first part of the paper characterizes human factor assessment with an emphasis on the modeling of human behavior. This section is followed by a description of the human control model structure, including a definition of the individual components and their roles during the control phases. Exploiting relevant theoretical background, the authors present an example of a human controller comprising the feedback component and two different implementations of a pursuit controller. The parameters of the controllers are obtained from data measured on a flight simulator controlled by a pilot during the defined task. The first results presented in this paper indicate the possibility of use the described human control structure in HiLCPS modeling and its potential for other, more complex experiments within human factor assessment.

关键词： human perception HiLCPS human model human-machine interface human brain human behavior adaptive human control model HRA pursuit controller

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Integral-based algorithm for parameter identification of the heat exchanger

Integral-based algorithm for parameter identification of the...

引用

2018 International MultiConference of Engineers and Computer Scientists, IMECS 2018

作者： Wongvanich, Napasool Kongratana, Viriya Department of Instrumentation and Control Engineering Faculty of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9789881404886

This paper develops an integral based method for the system identification and modeling of the heat exchanger. The proposed method formulates the model through the use of integrals, thus rendering a nonconvex optimization problem into simple linear optimization which can be solved through an ordinary least squares method. The convection heat exchanger model is firstly assumed, whereby all the inlet and outlet temperatures are measured or known. Two experiments were conducted. The first involved a series of step responses with incremental heating input, whilst the second involved step responses taken only after the system has cooled down to room temperature. Results show that the proposed method allowed a more complicated model of the heat exchanger to be constructed, whilst still being robust to Gaussian and quantization as well as encoder noises. © 2018 Newswood Limited. All rights reserved.

关键词： Heat exchangers

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