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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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Neuroadaptive Containment Control for Nonlinear Multiagent Systems With Input Saturation: An Event-Triggered Communication Approach

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IEEE Transactions on Systems, Man, and Cybernetics: Systems 2025年第5期55卷 3163-3173页

作者： Wang, Xin Zhang, Sen Li, Huaqing Zhang, Wei Li, Hongyi Huang, Tingwen Southwest University College of Electronic and Information Engineering Chongqing400715 China Shenzhen University of Advanced Technology Faculty of Computer Science and Control Engineering Shenzhen518055 China

In this article, a neuroadaptive event-triggered containment control strategy combined with the dynamic surface control (DSC) approach is proposed for nonlinear multiagent systems (MASs) with input saturation. Based on the event-triggered communication mechanisms, the updates of neural network weight and controllers are implemented solely under triggering conditions of violation, which markedly reduces unnecessary communication resources and minimizes inefficient control costs compared with the traditional control method. Radial basis function neural networks (RBF NNs) are employed to handle the nonlinear uncertainties of MASs. Simultaneously, an adaptive compensatory mechanism is incorporated within the backstepping process to address the nonlinear effect posed by input saturation. Additionally, we demonstrate the system stability by extending the Lyapunov theorem to jump and continuous scenarios while excluding Zeno behavior, realizing that all followers can enter the convex hull constructed by leaders. Finally, the effectiveness of the proposed methodology is verified through application simulations. © 2013 IEEE.

关键词： Radial basis function networks

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A Smartphone-Based Health Monitoring and Management System 1

A Smartphone-Based Health Monitoring and Management System

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1st IEEE International Conference on Communication engineering and Emerging Technologies, ICoCET 2024

作者： Sakheran, Rutheran Raja Oung, Qi Wei Lee, Hoi Leong Universiti Malaysia Perlis Faculty of Electronic Engineering & Technology Perlis Malaysia Centre of Excellence Universiti Malaysia Perlis Faculty of Electronic Engineering & Technology Perlis Malaysia Centre of Excellence Universiti Malaysia Perlis Faculty of Electronic Engineering & Technology Perlis Malaysia

ISBN: (纸本)9798331504144

Prioritizing health is crucial for overall well-being, akin to valuing wealth and happiness. In today's fast-paced world, time constraints make it challenging for individuals to monitor their health actively. An essential solution is an automated health monitoring system that tracks users' health data and notifies them of significant changes. Integrating smartphone applications and technologies like the Internet of Things (IoT) enhances the efficiency of such a system. Unlike traditional methods, IoT enables machine-to-machine communication and automation, reducing the need for regular doctor visits. Incorporating IoT and cloud technology refines monitoring methods, enabling real-time storage and visualization of health data. This project utilizes an ESP32 for data collection and processing, detecting parameters such as temperature, pulse rate, and oxygen saturation. The ThingSpeak platform is employed for real-time health data visualization. Rigorous trials, accuracy testing, and error analysis were conducted on the proposed system, with promising results. © 2024 IEEE.

关键词： electronic health record

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Efficient OpenMP Based Z-curve Encoding and Decoding Algorithms

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Computers, Materials & Continua 2025年第1期82卷 1313-1327页

作者： Zicheng Zhou Shaowen Sun Teng Liang Mengjuan Li Fengling Xia School of Electronic Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming650500China School of Communications Information Engineering Yunnan Communications Vocational and Technical CollegeKunming650500China Library Yunnan Normal UniversityKunming650500China Faculty of Civil Aviation and Aeronautics Kunming University of Science and TechnologyKunming650500China

Z-curve’s encoding and decoding algorithms are primely important in many Z-curve-based *** bit interleaving algorithm is the current state-of-the-art algorithm for encoding and decoding *** simple,its efficiency is hindered by the step-by-step coordinate shifting and bitwise *** tackle this problem,we first propose the efficient encoding algorithm LTFe and the corresponding decoding algorithm LTFd,which adopt two optimization methods to boost the algorithm’s efficiency:1)we design efficient lookup tables(LT)that convert encoding and decoding operations into table-lookup operations;2)we design a bit detection mechanism that skips partial order of a coordinate or a Z-value with consecutive 0s in the front,avoiding unnecessary iterative *** propose order-parallel and point-parallel OpenMP-based algorithms to exploit the modern multi-core *** results on discrete,skewed,and real datasets indicate that our point-parallel algorithms can be up to 12.6×faster than the existing algorithms.

关键词： Z-curve lookup table OpenMP bit detection mechanism

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Evaluation of Applying Federated Learning to Distributed Intrusion Detection Systems Through Explainable AI

IEEE Networking Letters

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IEEE Networking Letters 2024年第3期6卷 198-202页

作者： Oki, Ayaka Ogawa, Yukio Ota, Kaoru Dong, Mianxiong Muroran Institute of Technology School of Information and Electronic Engineering Muroran050-8585 Japan Kagawa University Faculty of Engineering and Design Takamatsu761-0396 Japan Muroran Institute of Technology Department of Information and Electronic Engineering Muroran050-8585 Japan

We apply federated learning (FL) to a distributed intrusion detection system (IDS), in which we deploy numerous detection servers on the edge of a network. FL can mitigate the impact of decreased training data in each server and exhibit almost the same detection rate as that of the non-distributed IDS for all attack classes. We verify the effect of FL using explainable artificial intelligence (XAI);this effect is demonstrated by the distance between the feature set of each attack class in the distributed IDS and that in the non-distributed IDS. The distance increases for independent learning and decreases for FL. © 2019 IEEE.

关键词： Federated learning

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Reset-Free Reinforcement Learning via Multi-State Recovery and Failure Prevention for Autonomous Robots

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Tsinghua Science and technology 2024年第5期29卷 1481-1494页

作者： Xu Zhou Benlian Xu Zhengqiang Jiang Jun Li Brett Nener School of Mechanical Engineering Changshu Institute of TechnologyChangshu 215500China School of Automation Nanjing University of Science and TechnologyNanjing 210094China School of Electronic and Information Engineering Suzhou University of Science and TechnologySuzhou 215009China Faculty of Medicine and Health The University of SydneySydney 2006Australia Department of Electrical Electronic and Computer EngineeringThe University of Western AustraliaPerth 6009Australia

Reinforcement learning holds promise in enabling robotic tasks as it can learn optimal policies via trial and ***,the practical deployment of reinforcement learning usually requires human intervention to provide episodic resets when a failure *** manual resets are generally unavailable in autonomous robots,we propose a reset-free reinforcement learning algorithm based on multi-state recovery and failure prevention to avoid failure-induced *** multi-state recovery provides robots with the capability of recovering from failures by self-correcting its behavior in the problematic state and,more importantly,deciding which previous state is the best to return to for efficient *** failure prevention reduces potential failures by predicting and excluding possible unsafe actions in specific *** simulations and real-world experiments are used to validate our algorithm with the results showing a significant reduction in the number of resets and failures during the learning.

关键词： reinforcement learning manual reset multi-state recovery failure prediction

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Effect of Co on Solidification Characteristics and Microstructural Transformation of Non-equilibrium Solidified Cu-Ni Alloys

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Journal of Wuhan University of technology(Materials Science) 2024年第2期39卷 444-453页

作者：安红恩 Bih-Lii Chua Ismail Saad Willey Yun Hsien Liew Materials Engineering Research Group Faculty of EngineeringUniversity Malaysia Sabah88400 Kota KinabaluSabahMalaysia College of Mechanical and Electronic Engineering Huanghe Jiaotong UniversityJiaozuo 454950China Henan Engineering Technology Research Center on Intelligent Manufacturing Technology and Equipment Jiaozuo 454950China Centre of Research in Energy and Advanced Materials Faculty of EngineeringUniversiti Malaysia SabahJalan UMS88400 Kota KinabaluSabahMalaysia Nano Engineering and Materials Research group Faculty of EngineeringUniversity Malaysia Sabah88400 Kota KinabaluSabahMalaysia

Non-equilibrium solidification structures of Cu55Ni45 and Cu55Ni43Co2 alloys were prepared by the molten glass purification cycle superheating *** variation of the recalescence phenomenon with the degree of undercooling in the rapid solidification process was investigated using an infrared *** addition of the Co element affected the evolution of the recalescence phenomenon in Cu-Ni *** images of the solid-liquid interface migration during the rapid solidification of supercooled melts were captured by using a high-speed *** solidification rate of Cu-Ni alloys,with the addition of Co elements,was ***,the grain refinement structure with low supercooling was characterised using electron backscatter diffraction(EBSD).The effect of Co on the microstructural evolution during nonequilibrium solidification of Cu-Ni alloys under conditions of small supercooling is investigated by comparing the microstructures of Cu55Ni45 and Cu55Ni43Co2 *** experimental results show that the addition of a small amount of Co weakens the recalescence behaviour of the Cu55Ni45 alloy and significantly reduces the thermal strain in the rapid solidification *** the rapid solidification phase,the thermal strain is greatly reduced,and there is a significant increase in the characteristic undercooling ***,the addition of Co and the reduction of Cu not only result in a lower solidification rate of the alloy,but also contribute to the homogenisation of the grain size.

关键词： non-equilibrium solidification recalescence effect solidification character microstructure

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RIS-Assisted Integrated Sensing and Communication Systems: Joint Reflection and Beamforming Design

IEEE Open Journal of the Communications Society

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IEEE Open Journal of the Communications Society 2024年 5卷 908-927页

作者： Ismail, Mohamed I. Shaheen, Abdullah M. Fouda, Mostafa M. Alwakeel, Ahmed S. Modern Academy for Engineering and Technology Department of Electronic Engineering and Communication Technology Cairo4410242 Egypt Suez University Faculty of Engineering Department of Electrical Engineering Suez8151650 Egypt Idaho State University College of Science and Engineering Department of Electrical and Computer Engineering PocatelloID83209 United States

The Integrated Sensing and Communication (ISAC) system merged with Reconfigurable Intelligent Surface (RIS) has recently received much attention. This paper proposes an intelligent metaheuristic version of Enhanced Artificial Ecosystem Optimizer (EAEO) for a suggested beamforming optimization framework in ISAC systems with RIS. Two RIS are utilized in the presented model to enhance the received signal-to-noise ratio (SNR) for multiple-input multiple-output (MIMO) communication systems. Also, each element of each RIS scatters the incoming signal with a controllable phase-shift, without increasing its power. The signal is transmitted by a Dual-Function Base Station (DFBS) that is integrated with the RIS, which performs both communication and sensing functions simultaneously. The ISAC system is designed to optimize the signal transmission through the RIS by maximizing the SNR to increase the overall performance. In the proposed EAEO version, a Fitness-Distance-Balance Model (FDBM) is combined with the standard Artificial Ecosystem Optimizer (AEO) to improve the quality of the solutions in multidimensional and nonlinear optimization scenarios. The simulation results show that the proposed EAEO algorithm improves the SNR of different users for different numbers of RIS elements. The SNR reaches 25 dB when using 200 RIS elements. Moreover, the proposed EAEO is tested on the IEEE Congress on Evolutionary Computation 2017 (IEEE CEC'17) test suite. A comparative analysis is conducted compared to the standard AEO and several recent algorithms. The proposed EAEO derives great effectiveness and robustness over the others as it provides a higher rate of success in achieving the global optimum point. © 2020 IEEE.

关键词： Signal to noise ratio

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Compact Parasitic Patch Antenna Array with Beam Steering Capabilities 1

Compact Parasitic Patch Antenna Array with Beam Steering Cap...

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1st IEEE International Conference on Communication engineering and Emerging Technologies, ICoCET 2024

作者： Mat, Mohd Hafizuddin Anuar, Muhammad Aiman Hakim M. Abd Wahab, Nurul Husna Ramli, Nur Hidayah Bahari, Norfatihah Zahid, Liyana Zulkefli, Muhammad Solihin Advanced Communication Engineering Centre of Excellence Universiti Malaysia Perlis Faculty of Electronic Engineering & Technology Perlis Malaysia Universiti Malaysia Perlis Faculty of Electronic Engineering & Technology Perlis Malaysia Universiti Malaysia Perlis Faculty of Electrical Engineering & Technology Perlis Malaysia

ISBN: (纸本)9798331504144

This study focuses on the design and optimization of a compact parasitic patch antenna array endowed with beam steering capabilities. With the current demand for smaller, more efficient antennas that can dynamically adjust their radiation patterns, traditional designs are becoming inadequate. This research aims to develop a compact antenna array that not only meets stringent size constraints but also excels in key performance metrics such as gain, bandwidth, and efficiency. By utilizing Rogers R04003C material, which ensures higher gain bandwidth, and incorporating beam steering mechanisms, the antenna can dynamically change the direction of its radiation pattern, crucial for applications such as radar, wireless communication, and satellite communication. © 2024 IEEE.

关键词： Bandwidth

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Introduction to the Special Issue on Computer-Aided Uncertainty Modeling and Reliability Evaluation for Complex engineering Structures

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Computer Modeling in engineering & Sciences 2024年第10期141卷 1-5页

作者： Debiao Meng Abílio Manuel Pinho de Jesus Zeng Meng School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu611731China INEGI Faculty of EngineeringUniversity of PortoPorto4200-465Portugal School of Civil Engineering Hefei University of TechnologyHefei230009China

1 Summary With the advancement of science and technology,complex engineering structures are widely used in extreme environments[1].In equipment service,many uncertainty factors significantly affect safety and reliability[2–5].Therefore,ensuring high reliability of structures has become an important research direction in engineering *** the same time,the importance of equipment health management of complex engineering structures is becoming increasingly prominent[6–8].Computer-aided uncertainty modeling and reliability assessment have become key tools,and finite element simulation and algorithmic innovation play a key role in the reliability analysis of complex equipment[9,10].These techniques can accurately simulate stress and damage accumulation under various operating environments,providing engineers with important decision support and optimization solutions.

关键词： extreme Reliability environments

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