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Evaluation of Morphological and Optical Properties of Ag, Au, and Ag@Au Nanoparticles Synthesized via Laser Ablation

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Lasers in Manufacturing and Materials Processing 2024年第4期11卷 931-945页

作者： Abass, Noor al-huda A. Jawad, Muslim F. Haider, Adawiya J. Department of Electrical Electronic and Systems Engineering Faculty of Engineering and Built Baghdad Iraq Applied Sciences Department/ Laser Branch University of Technology Baghdad Iraq

This work concentrates on Ag, Au, Au@ Ag, and Ag@ Au nanoparticles in various configurations produced through pulsed laser ablation at a wavelength of 532 nm, examining various configurations generated at different laser fluences. The characterization of the materials employs several testing methods, including photoluminescence (PL), dynamic light scattering (DLS), transmission electron microscopy (TEM), Energy-dispersive X-ray spectroscopy (EDX) and ultraviolet-visible spectroscopy (UV-Vis). The characterization results indicate that the Au@Ag and Ag@Au nanoparticles exhibit transmission absorption peaks at 500 nm and 400 nm, respectively. Meanwhile, UV-Vis spectroscopy shows peak absorption at 490 nm for Au and 400 nm for Ag. Additionally, TEM reveals average diameters of Ag, Au, Ag@ Au, and Au@ Ag core-shell nanoparticles is based on their average diameters of 14.58 nm, 18.34 nm, and Core-shell (97.31–96.35) nm, respectively. While the particle sizes of the Au NPs, Ag NPs, Ag@ Au, and Au@ Ag measured using DLS were 82 nm, 57.3 nm, 204.6 nm, and 156.8 nm respectively. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Energy dispersive spectroscopy

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Prediction of solid particle erosion behavior in PMMA using artificial neural network and metaheuristic algorithms

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Neural Computing and Applications 2024年第4期37卷 2825-2847页

作者： Fidan, Sinan Ürgün, Satılmış Yiğit, Halil Faculty of Aeronautics and Astronautics Department of Airframe and Powerplant Maintenance Kocaeli University Kocaeli Turkey Faculty of Aeronautics and Astronautics Department of Aviation Electrics and Electronics Kocaeli University Kocaeli Turkey Faculty of Technology Information Systems Engineering Department of Information Systems Engineering Kocaeli University Kocaeli Turkey

This paper aims to predict and optimize the behavior of solid particle erosion in polymethyl methacrylate material through artificial neural networks assisted with the implementation of metaheuristic algorithms. For the study, artificial neural networks (ANNs) and the corresponding metaheuristic algorithms, such as genetic algorithm (GA), particle swarm optimization (PSO), whale optimization algorithm (WOA), gray wolf optimizer (GWO), student psychology-based optimization algorithm (SPBO), ant lion optimizer (ALO), teaching learning-based optimization (TLBO), equilibrium optimizer (EO), flow direction algorithm (FDA), and covariance matrix adaptation evolution strategy (CMA-ES) have been implemented along with jellyfish search optimizer (JSO) to predict the erosion rate and erosion velocity of poly methyl methacrylate (PMMA) eroded by white aluminum oxide at different impact angles and particle sizes. It was indicated that ANN and metaheuristic prediction models were suited to the experimental results, affirming that the approach used is a successful one in predicting solid particle erosion of polymeric materials. JSO exhibited the most robust results with the lowest standard deviation of the erosion rate. In the present study, it is observed that the experimental data are in good agreement with what is obtained from the ANN model fed with input parameters optimized using various metaheuristic algorithms. In the experiment, characterization with polynomials was done regarding the aluminum oxide (Al2O3) abrasive particles' erosion behavior on PMMA at three different mesh sizes and three different blasting pressures. These polynomials were used as the fitness functions for the metaheuristic algorithms applied. The results show that the combined use of ANNs and metaheuristics yields even higher prediction accuracy than those provided by each alone. The JSO algorithm has demonstrated excellence in erosion rate and amount and in its ability to optimize over other approac

关键词： Particle swarm optimization (PSO)

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UAV-based Intelligent Information systems on Winter Road Safety for Autonomous Vehicles 10

UAV-based Intelligent Information Systems on Winter Road Saf...

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10th IEEE Smart World Congress, SWC 2024

作者： Ariram, Siva Pekkala, Veikko Maenpaa, Timo Tikanmaki, Antti Roning, Juha Faculty of Information Technology and Electrical Engineering Biomimetics and Intelligent Systems Group Finland University of Oulu Civil Engineering Faculty of Technology Finland

ISBN: (纸本)9798331520861

As autonomous vehicles continue to revolutionize transportation, addressing challenges posed by adverse weather conditions, particularly during winter, becomes paramount for ensuring safe and efficient operations. One of the most important aspects of a road safety inspection during adverse weather is when a limited lane width can reduce the capacity of the road and raise the risk of serious accidents involving autonomous vehicles. In this research, a method for improving driving challenges on roads in winter conditions, with a model that segments and estimates the width of the road from the perspectives of Uncrewed aerial vehicles and autonomous vehicles. The proposed approach in this article is needed to empower selfdriving cars with up-to-date and accurate insights, enhancing their adaptability and decision-making capabilities in winter landscapes. © 2024 IEEE.

关键词： Autonomous vehicles

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Robust Stability Analysis of Smith Predictor Based Interval Fractional-Order Control systems:A Case Study in Level Control Process

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IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 762-780页

作者： Majid Ghorbani Mahsan Tavakoli-Kakhki Aleksei Tepljakov Eduard Petlenkov Department of Computer Systems Tallinn University of TechnologyTallinn 12618Estonia Faculty of Electrical Engineering K.N.Toosi University of TechnologyTehran ***Iran IEEE

The robust stability study of the classic Smith predictor-based control system for uncertain fractional-order plants with interval time delays and interval coefficients is the emphasis of this *** uncertainties are a type of parametric uncertainties that cannot be avoided when modeling real-world ***,in the considered Smith predictor control structure it is supposed that the controller is a fractional-order proportional integral derivative(FOPID)*** the best of the authors'knowledge,no method has been developed until now to analyze the robust stability of a Smith predictor based fractional-order control system in the presence of the simultaneous uncertainties in gain,time-constants,and time *** three primary contributions of this study are as follows:ⅰ)a set of necessary and sufficient conditions is constructed using a graphical method to examine the robust stability of a Smith predictor-based fractionalorder control system—the proposed method explicitly determines whether or not the FOPID controller can robustly stabilize the Smith predictor-based fractional-order control system;ⅱ)an auxiliary function as a robust stability testing function is presented to reduce the computational complexity of the robust stability analysis;andⅲ)two auxiliary functions are proposed to achieve the control requirements on the disturbance rejection and the noise ***,four numerical examples and an experimental verification are presented in this study to demonstrate the efficacy and significance of the suggested technique.

关键词： Interval uncertainty FOPID controller fractional-order systems robust stability analysis smith predictor

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Collision avoidance and routing based on location access (CARLA) of mobile robots

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Neural Computing and Applications 2025年第9期37卷 6401-6430页

作者： ElSayyad, Shimaa Ezzat Saleh, Ahmed I. Ali, Hesham A. Saraya, M.S. Rabie, Asmaa H. Abdelsalam, Mohamed M. Computers Engineering Department MISR Higher Institute for Engineering and Technology Mansoura Round Road Mansoura City35516 Egypt Computers and Control Systems Engineering Department Faculty of Engineering Mansoura University Mansoura35516 Egypt Dean of Faculty of Artificial Intelligence Delta University for Science and Technology Gamasa Mansoura Egypt Faculty of Engineering Mansoura National University Gamasa Mansoura Egypt

The paper introduces a new path-planning robotic system methodology called Collision Avoidance and Routing based on Location Access (CARLA) for use in critical environments such as hospitals and crises where quick action and saving human lives are vital. The main focus of our framework is on accuracy and fast responses, such as delivering tools or items in a specific area while avoiding collisions with other robots and obstacles. CARLA is designed to provide quick responses during emergencies, unlike most existing algorithms that are integrated into site control units or distributed among mobile robots on-site. By being loaded onto a remote server node rather than individual robots, CARLA helps to conserve the robots' capabilities, hardware resources, and power consumption. Additionally, our system utilizes cloud computing and Fog servers technology to improve data transmission times between the cloud and smart devices, especially for applications with strict timing requirements like emergency response. The Fog platform is also leveraged to enhance on-site access to real-time interaction and location-based services by bringing processing power closer to the robots from far-off Cloud servers. CARLA has various applications, such as in factories and warehouses, where mobile robots need to be selected and directed by a central control system remotely. The proposed framework consists of three main modules: Robot Knowledge Module, Robot Selection Module, and Route Reservation Module, which will all be discussed in detail in this paper. The results of simulations using this framework show that the robots have improved flexibility and efficiency in terms of computing paths and successfully fulfiling requests without colliding, compared to traditional methods used in similar scenarios. © The Author(s) 2025.

关键词： Mobile robots

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Attention Markets of Blockchain-Based Decentralized Autonomous Organizations

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IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1370-1380页

作者： Juanjuan Li Rui Qin Sangtian Guan Wenwen Ding Fei Lin Fei-Yue Wang State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China IEEE

The attention is a scarce resource in decentralized autonomous organizations(DAOs),as their self-governance relies heavily on the attention-intensive decision-making process of“proposal and voting”.To prevent the negative effects of pro-posers’attention-capturing strategies that contribute to the“tragedy of the commons”and ensure an efficient distribution of attention among multiple proposals,it is necessary to establish a market-driven allocation scheme for DAOs’***,the Harberger tax-based attention markets are designed to facilitate its allocation via continuous and automated trading,where the individualized Harberger tax rate(HTR)determined by the pro-posers’reputation is ***,the Stackelberg game model is formulated in these markets,casting attention to owners in the role of leaders and other competitive proposers as *** equilibrium trading strategies are also discussed to unravel the intricate dynamics of attention ***,utilizing the single-round Stackelberg game as an illustrative example,the existence of Nash equilibrium trading strategies is ***,the impact of individualized HTR on trading strategies is investigated,and results suggest that it has a negative correlation with leaders’self-accessed prices and ownership duration,but its effect on their revenues varies under different *** study is expected to provide valuable insights into leveraging attention resources to improve DAOs’governance and decision-making process.

关键词： Attention decentralized autonomous organizations Harberger tax Stackelberg game.

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Fuzzy clustering for electric field characterization and its application to thunderstorm interpretability

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Digital Communications and Networks 2025年第2期11卷 299-307页

作者： Xu Yang Hongyan Xing Xinyuan Ji Wei Xu Witold Pedrycz School of Electronics and Information Engineering Nanjing University of Information Science and Technology Department of Electrical and Computer Engineering University of Alberta Systems Research Institute Polish Academy of Sciences Department of Computer Engineering Faculty of Engineering and Natural Sciences Istinye University

Changes in the Atmospheric Electric Field Signal(AEFS) are highly correlated with weather changes, especially with thunderstorm activities. However, little attention has been paid to the ambiguous weather information implicit in AEFS changes. In this paper, a Fuzzy C-Means(FCM) clustering method is used for the first time to develop an innovative approach to characterize the weather attributes carried by AEFS. First, a time series dataset is created in the time domain using AEFS attributes. The AEFS-based weather is evaluated according to the time-series Membership Degree(MD) changes obtained by inputting this dataset into the FCM. Second, thunderstorm intensities are reflected by the change in distance from a thunderstorm cloud point charge to an AEF apparatus. Thus, a matching relationship is established between the normalized distance and the thunderstorm dominant MD in the space domain. Finally, the rationality and reliability of the proposed method are verified by combining radar charts and expert experience. The results confirm that this method accurately characterizes the weather attributes and changes in the AEFS, and a negative distance-MD correlation is obtained for the first time. The detection of thunderstorm activity by AEF from the perspective of fuzzy set technology provides a meaningful guidance for interpretable thunderstorms.

关键词： Atmospheric electric field (AEF) Thunderstorm Fuzzy C-means (FCM) Attribute

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Fleet data based traffic modeling

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Communications in Transportation Research 2024年第1期4卷 270-278页

作者： Tamás Tettamanti Levente Tőkés Balázs Varga Department of Control for Transportation and Vehicle Systems Faculty of Transportation Engineering and Vehicle EngineeringBudapest University of Technology and EconomicsMűegyetem rkp.3.BudapestH-1111Hungary

Although the available traffic data from navigation systems have increased steadily in recent years,it only reflects average travel time and possibly Origin-Destination information as samples,***,the number of vehicles participating in the traffic-in other words,the traffic flows being the basic traffic engineering information for strategic planning or even for real-time management-is still missing or only available sporadically due to the limited number of traditional traffic sensors on the network *** tackle this gap,an efficient calibration process is introduced to exploit the Floating Car Data combined with the classical macroscopic traffic assignment *** optimally scaling the Origin-Destination matrices of the sample fleet,an appropriate model can be approximated to provide traffic flow data beside average *** iterative tuning method is developed using a genetic algorithm to realize a complete macroscopic traffic *** method has been tested through two different real-world traffic networks,justifying the viability of the proposed ***,the contribution of the study is a practical solution based on commonly available fleet traffic data,suggested for practitioners in traffic planning and management.

关键词： Floating car data Origin-destination matrix Macroscopic traffic modeling Genetic algorithm Calibration

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Human-centered IoT-based health monitoring in the Healthcare 5.0 era: literature descriptive analysis and future research guidelines

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Discover Internet of Things 2024年第1期4卷 26页

作者： Rashid, Samad Nemati, Arash Healthcare Systems Engineering Department of Industrial Engineering Faculty of Materials and Industrial Engineering Babol Noshirvani University of Technology Mazandaran Province Babol CityPostal Code: 47148-71167 Iran

Continuous monitoring of individuals’ health, particularly those with chronic diseases, out of healthcare centers could result in lower patient traffic in healthcare centers, much more real-time health control, and faster emergency services. Hence, using the internet of things (IoTs) as an enabler of Industry 4.0 facilitating remote health monitoring has gained more attention in recent years. Although plenty of research has been focused on IoT-based health monitoring, they neglected emerging concepts like human-centered health data analytics as a significant requirement in the Healthcare 5.0 era. This paper contributes to the status of human-centered IoT-based health monitoring by conducting a descriptive analysis of the corresponding literature according to biometrics monitored, applied software, hardware, sensors, and communication models, highlighting the lack of consideration of long-term, human-centered health monitoring in the existing IoT-based health monitoring literature. Results showed that the focus of the literature has mostly been on information transit technology development and not human-centered data analytics. In addition, a gap analysis of the current literature recommendations emphasized multi-biometrics monitoring and cybersecurity, not human-centered health data analysis. Finally, several guidelines are provided for human-centered IoT-based health monitoring in future research. © The Author(s) 2024.

关键词： Electronic health record

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Towards amulti-model infrastructure for integrated decision-making in energy transition 23

Towards amulti-model infrastructure for integrated decision-...

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23rd International Conference on Modelling and Applied Simulation, MAS 2024

作者： Huang, Yilin Nikolic, Igor Section of Systems Engineering and Simulation Faculty of Technology Policy and Management Delft University of Technology Netherlands

ISBN: (纸本)9791281988019

Computational simulationmodels serve as powerful instruments for analysing complex systems, but individually they are often limited in representing systems of an interdisciplinary nature. This paper presents amulti-modelling project that takes the first steps towards an open generic solution ofmulti-model infrastructure (MMI). It aims to loosely couple individual independent (often already existing) models, facilitatemodel reuse andmeaningfulmodel interoperation in order to support integral decision-making in the Dutch energy transition. The MMI is a minimal viable product collaboratively designed and developed by a diverse group ofmodellers and energy experts. It includes facilitating services such as software andmethods that enablemulti-modelling but not the individual independent models themselves. We share the vision, approach and initial outcomes of the project, in particular, give an overview of the multi-model platform architecture design and the three use cases (andmulti-models) of marco,meso and micro scales developed to demonstrate the potential of *** also discuss the lessons learnt and future work, with the intension to invitemore research, debate and collaboration on topics ofmulti-modelling, in particular simulationmodel reuse and interoperation, and to form an even stronger and broader interdisciplinary community ofmulti-modellers. © 2024 The Authors.

关键词： Decision making

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