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Self-adaptive competitive swarm optimizer: a memetic approach for global optimization and human-powered aircraft design

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Memetic Computing 2025年第3期17卷 1-37页

作者： Zhong, Rui Wang, Zhongmin Al-Shourbaji, Ibrahim Houssein, Essam H. Kachare, Pramod H. Jabbari, Abdoh Kirner, Raimund Yu, Jun Information Initiative Center Hokkaido University Sapporo Japan College of Tropical Crops Yunnan Agricultural University Yunnan China Department of Electrical and Electronics Engineering Jazan University Jazan Saudi Arabia Faculty of Computers and Information Minia University Minia Egypt Minia National University Minia Egypt Department of Computer Science and Engineering Ramrao Adik Institute of Technology Navi Mumbai India Department of Computer Science University of Hertfordshire Hatfield UK Institute of Science and Technology Niigata University Niigata Japan

This paper presents a memetic approach of Competitive Swarm Optimizer (CSO) named Self-Adaptive Competitive Swarm Optimizer (SACSO). We focus on two key parameters of CSO: scaling factor and population size and introduce a parameter sorting scheme and a linear population reduction strategy to enhance the performance of SACSO. Specifically, the parameter sorting scheme assigns smaller scaling factors to better-performing particle individuals to encourage exploitative searchability, while larger scaling factors are allocated to poor-performing particle individuals to promote exploration in unknown search areas. The linear population reduction strategy adapts to different optimization phases, emphasizing exploration in the early phase and enhancing exploitation in the later phase. To investigate the performance of SACSO, we conducted comprehensive numerical experiments on CEC2017, CEC2022, and seven classic engineering problems. The experimental results and statistical analysis demonstrate the competitiveness of SACSO against six state-of-the-art optimizers and four advanced CSO variants. Ablation studies further validate the contribution of the two introduced strategies. Finally, we applied SACSO to real-world Human-Powered Aircraft (HPA) design problems, and the results highlight the potential of SACSO for solving various real-world optimization challenges. The source code of SACSO is available at https://***/RuiZhong961230/SACSO .

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A Novel Image Encryption and Decoding Approach Based on DNA Coding and Arnold's Transformation for IoT Applications

A Novel Image Encryption and Decoding Approach Based on DNA ...

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Telecommunications Conference (ITC-Egypt), International

作者： Nawal Shaltout Ahmed A. Abd El-Latif Waleed Al-Adrousy Mohamed Hammad Abdelhamied A. Ateya Samir Elmougy Department of Computer Science Faculty of Computers and Information Mansoura University Mansoura Egypt EIAS Data Science Lab College of Computer and Information Sciences Prince Sultan University Riyadh Saudi Arabia Department of Mathematics and Computer Science Faculty of Science Menoufia University Egypt Department of Information Technology Faculty of Computers and Information Menoufia University Shibin El Kom Egypt Department of Electronics and Communications Engineering Zagazig University Zagazig Egypt

ISBN: (数字)9798350351408

ISBN: (纸本)9798350351415

Nowadays, the Internet of Things (IoT) is significantly utilized by an extensive range of applications that lead to the enhancement of different aspects of defense and military capabilities. In IoT, a wide range of smart devices that can communicate with each other are connected through it. Therefore, it is essential to protect multimedia data, especially images with an encryption approach that offers a sufficient degree of security in military applications. Hence, this paper introduces an effective scheme for image encryption and decoding relying on Arnold's transformation DNA coding. It proposes a new pseudo-random number generation PRNG using the Sine-Logistic map and Duffing map called SLDM. The encryption method involves three phases: 1- Key generation and PRNG. 2- confusion phase using the Arnold transformation method. 3- diffusion using DNA rules and operations. The results based on the USC-SIPI dataset, show that the suggested scheme is sufficiently resistant to every kind of attack. Furthermore, the suggested method yields NPCR scores of around 99.62% and UACI scores of approximately 33.48%. Due to its low complexity, it has a great deal of potential for safe and real-time picture applications.

关键词： Resistance Image coding Chaotic communication DNA Encryption Decoding Telecommunications

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Quadrotor Attitude and Altitude Tracking Control Using Finite Discrete-Time Linear Quadratic Tracking Controller

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IFAC-PapersOnLine 2022年第10期55卷 2962-2967页

作者： A.M. Aghazamani M. Khodabandeh R. Razavi-Far J. Zarei M. Saif Electrical Engineering Faculty Hamedan University of Technology Hamedan Iran Department of Electrical and Computer Engineering University of Windsor Windsor ON N9B3P4 Canada Department of Electrical and Electronics Engineering Shiraz University of Technology Shiraz Iran

In this paper, an optimal finite discrete-time linear quadratic tracking (LQT) control method is proposed to control the altitude and attitude of a quadrotor. First, the dynamic model of the quadrotor is derived using Newton-Euler equations. Next, non-linear equations of the quadrotor are written in the state space form and linearized around an equilibrium point. Then, continuous-time linear state-space equations are converted into discrete-time equations considering a specific sampling time. Moreover, the controller design process is completed by determining the performance index and the weighting matrices, and the optimal control input is acquired for the closed-loop system. In the end, the simulation results are shown to demonstrate the robustness of the controller against parameter uncertainties and show its performance in attenuating the external disturbance effect.

关键词： Quadrotor LQT control Parameter uncertainty Wind disturbance

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Improvement of subjective time perception and work efficiency in isolation via dedicated biofeedback Android application mSTPA (mobile Subjective Time Perception Analysis) 73

Improvement of subjective time perception and work efficienc...

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73rd International Astronautical Congress, IAC 2022

作者： Daniol, Mateusz Kolodziejczyk, Agata Grzelak, Wojtek Singh, Apoorva Harasymczuk, Mateusz Department of Metrology and Electronics Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Mickiewicza Ave. 30 Krakow30-059 Poland Space Technology Centre AGH University of Science and Technology Mickiewicza Ave. 30 Krakow30-059 Poland Analog Astronaut Training Center Kolo Strzelnicy 8A Krakow30-219 Poland

Time perception is one of the factors that affect work efficiency and performance at work, especially during isolation, especially in space. In this study we present an idea of improvement of time perception measurement using Android OS based app for time perception measurement and work efficiency evaluation. The app was implemented using MVVM architecture and offered two tasks - passive and active time perception. In both tasks simple shape appeared and disappeared on the screen after given amount of time. In the first task, user had to guess and type how much time passed when the shape has been visible, in the second he was asked to hold the button for the same amount of time. Each analog astronaut had to perform a time perception test each day during their mission. All the results have been sent and analysed on the server. Authors propose also methods for work efficiency measurement - using the questionnaire or specially designed app. Work efficiency and subjective time perception also depended on analog astronauts physical activity which we observed based on the results. Finally, the role of Mission Control Center crew has been discussed, as well as its impact on work efficiency and time perception. Copyright © 2022 by the International Astronautical Federation (IAF). All rights reserved.

关键词： Efficiency

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Fusion-Based Digital Twin Framework with Convolutional Neural Networks (CNN) for Real-Time Threat Detection and Image Enhancement in Low-Light IoT Environments

Fusion-Based Digital Twin Framework with Convolutional Neura...

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Integrated Intelligence and Communication Systems (ICIICS), International Conference on

作者： K. Ashok Kumar Pareshwar Prasad Barmola S. P. Velmurugan Manjunath A C Umang Soni Ramya Maranan Department of Physics B V Raju Institute of Technology Narsapur Medak India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun India Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Krishankoil India Department of Mechanical Engineering Brindavan college of Engineering Bangalore India Faculty of Engineering and Technology Parul institute of Engineering and Technology Vadodara India Department of Research and Innovation Saveetha School of Engineering SIMATS Chennai India

ISBN: (数字)9798331504960

ISBN: (纸本)9798331504977

Image acquisition in low-light environments often suffers from poor contrast, high noise, and loss of fine details, making effective enhancement challenging. Conventional enhancement methods frequently fail to balance detail preservation and noise suppression. This paper introduces a novel fusion-based technique for enhancing images captured in low-light settings. The proposed method integrates multi-scale decomposition, adaptive histogram equalization, and wavelet transform to improve image quality. Multi-scale decomposition captures critical structural information, adaptive histogram equalization adjusts intensity levels for enhanced contrast, and wavelet transform reduces noise while refining image details. Evaluation on standard low-light image datasets demonstrates that this method outperforms current state-of-the-art techniques. The enhanced images show a peak signal-to-noise ratio (PSNR) of 32.45 dB and a structural similarity index (SSIM) of 0.87, reflecting an 18% improvement in PSNR and a 12% gain in SSIM over traditional methods. Additionally, the technique reduces noise variance by 20% and enhances visual clarity, making it suitable for applications such as surveillance, medical imaging, and autonomous driving. In conclusion, this fusion-based approach provides an effective solution for low-light image enhancement, maintaining critical details and achieving improved visual quality through balanced contrast enhancement and noise reduction.

关键词： Wavelet transforms Histograms Visualization PSNR Noise Noise reduction Adaptive equalizers Real-time systems Convolutional neural networks Image enhancement

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Sensing metric-based hybrid underlay/overlay transmission framework for CR-IoT networks for smart city applications

Sensing metric-based hybrid underlay/overlay transmission fr...

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7th IET Smart Cities Symposium (SCS 2023)

作者： Indu Bala Maad M. Mijwil Mostafa Abotaleb El-Sayed M. El-kenawy Abdelhameed Ibrahim School of Electrical and Electronics Engineering Lovely Professional University Punjab India Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

With the increasing number of IoT devices, there is a growing need for bandwidth to support their communication. Unfortunately, there is a shortage of available bandwidth due to preallocated bands for various services. To address this issue, Cognitive Internet of Things (CR-IoT) enables devices to optimize their efficiency and enhance their communication capabilities by intelligently accessing available bandwidth. This is achieved through the use of soft sensing metrics, where devices continuously monitor the RF environment and transmit data opportunistically in overlay mode if a free channel is detected, or in underlay mode if not. In this paper, a soft sensing metric based hybrid transmission framework is proposed for CR-IoT devices to meet the data rate requirement for the smart city applications. The efficacy of this approach is demonstrated through simulation results.

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AI-Driven Test and Measurement Automation in electronics Manufacturing

AI-Driven Test and Measurement Automation in Electronics Man...

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International Conference on Science technology engineering and Management (ICONSTEM)

作者： Anurag Vijay Agrawal Kommisetti Murthy Raju Aparna P Gade Sravya A Chandrashekhar J. Ramya Department of Electronics and Communication Engineering J. P. Institute of Engineering and Technology Meerut Uttar Pradesh India Department of Electronics and Communication Engineering Shri Vishnu Engineering College For Women Bhimavaram Andha Pradesh India Department of Computer Science Engineering RMK College of Engineering and Technology Puduvoyal Tamil Nadu India Department of Electronics and Communication Engineering Shri Vishnu Engineering College for Women Bhimavaram Andhra Pradesh India Department of Mechanical Engineering Faculty of Science and Technology ICFAI Foundation for Higher Education Hyderabad Telangana India Department of Artificial Intelligence and Data Science OMR St. Joseph's College of Engineering Chennai Tamil Nadu India

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365108

Innovative strategies to increase output while decreasing expenses and enhancing product quality are essential in the dynamic electronics manufacturing industry. A robust AI-based system for automating test and measurement tasks in electronics manufacture is detailed in this research. Manual testing and measurement is a part of traditional production procedures; it's labor-intensive, time-consuming, and prone to mistakes. Smarter, more adaptable, and more efficient processes are achieved through the automation of tests and measurements facilitated by AI. The proposed approach makes use of machine learning techniques to sift through mountains of industrial data. In order to identify patterns, outliers, and problems, the AI system examines both past and present data. Reducing the likelihood of defective items reaching the final stage of production, this proactive technique helps identify and rectify issues fast. Product quality, cost, scrap rate, and production yield are all enhanced by AI-driven test and measurement automation in electronics manufacturing. In keeping with Industry 4.0, this ground-breaking method improves the manufacturing processes of electronic devices. Industry intelligence, sustainability, and efficiency are all enhanced by it.

关键词： Manufacturing processes Production Metrology Product design Mathematics Quality assessment Task analysis

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Efficient and Non-Invasive Rice Moisture Quantification Using Coupled Lines Microwave Sensor Design

Efficient and Non-Invasive Rice Moisture Quantification Usin...

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International Conference on Information technology (INCIT)

作者： Pratya Phanomupatum Ravee Phromloungsri Decha Wongpatsa Tiwat Pongthavornkamol Phatcharanat Saeng-On Somchat Sonasang Electronics Faculty of Industrial Technology Nakhon Phanom University Nakhon Phanom Thailand Computer and Communication Engineering Faculty of Technology Udon Thani Rajabhat University Udon Thani Thailand Faculty of Agriculture and Technology Nakhon Phanom University Nakhon Phanom Thailand Location and Automatic Identification System Research Team Location and Automatic NECTEC National Science and Technology Development Agency Pathum Thani Thailand Electrical Elements and Wireless Devices Unit (EEWDU) Faculty of Industrial Technology Nakhon Phanom University Nakhon Phanom Thailand

ISBN: (数字)9798350366303

ISBN: (纸本)9798350366310

This research presents the design, simulation, and experimental validation of a novel microwave sensor for noninvasive moisture measurement in rice. The sensor employs coupled microstrip lines fabricated on an FR4 substrate, designed to operate at a center frequency of 900 MHz with a quarter-wavelength configuration. The Advanced Design System software was utilized for the simulation, where key parameters such as S 21 and phase response were analyzed across a frequency range of 0.1 to 3 GHz. The sensor was fabricated and tested using a Vector Network Analyzer, where the moisture content in rice samples was varied incrementally, and the sensor’s performance was evaluated based on the changes in transmission characteristics. The results demonstrated the sensor’s potential for accurate moisture detection in rice, showcasing its feasibility as a noninvasive measurement technique in agricultural applications. This study contributes to the development of efficient, real-time moisture measurement technologies in the food processing industry.

关键词： Microwave measurement Sensitivity Moisture measurement Moisture Network analyzers Microwave sensors Vectors Real-time systems System software Substrates

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A Wideband WiFi/NB-IoT On-Glass Antenna for Smart Building Applications

A Wideband WiFi/NB-IoT On-Glass Antenna for Smart Building A...

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European Conference on Antennas and Propagation, EuCAP

作者： Muhammad Uzair Juin Acharjee Akkarat Boonpoonga Dirk Heberling Suramate Chalermwisutkul High Freqeuncy Systems Laboratory King Mongkut's University of Technology North Bangkok Bangkok Thailand Department of Electronics and Communication Engineering St. Thomas' College of Engineering and Technology Kolkata India Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand Institute of High Frequency Technology RWTH Aachen University Aachen Germany Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR Wachberg Germany

ISBN: (数字)9788831299107

ISBN: (纸本)9798350366327

In this work, an on-glass antenna is proposed for IoT and smart building applications. The dielectric properties of five common glass types used in architecture were investigated. Clear glass, 3 mm thick, was selected as the substrate. The antenna is a rectangular monopole with a coplanar waveguide feed and an asymmetric ground. It was designed and simulated using Ansys HFSS, then fabricated using clear glass and copper tape. Measurements of the reflection coefficient and radiation pattern showed good agreement with simulations. The antenna exhibits a bidirectional radiation pattern, with 2.8 dBi gain and 94.82% radiation efficiency at 2.1 GHz and 3.9 dBi gain and 95.72% radiation efficiency at 2.4 GHz, respectively. A −10 dB bandwidth of 650 MHz (29.3%) centered at 2.215 GHz was achieved. The proposed antenna shows promise for integration with architectural glass elements in smart building applications, such as smart glass doors and windows.

关键词： Antenna measurements Smart buildings Indium tin oxide Glass Reflection coefficient Internet of Things Substrates Wideband Gain Antenna radiation patterns

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Entanglement properties of optomagnonic crystal from nonlinear perspective

arXiv

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arXiv 2024年

作者： Wanic, M. Jasiukiewicz, C. Toklikishvili, Z. Jandieri, V. Trybus, M. Jartych, E. Mishra, S.K. Chotorlishvili, L. Department of Physics and Medical Engineering Rzeszów University of Technology Rzeszów35-959 Poland Faculty of Exact and Natural Sciences Tbilisi State University Chavchavadze av.3 Tbilisi0128 Georgia Faculty of Engineering University of Duisburg-Essen CENIDE - Center for Nanointegration Duisburg-Essen DuisburgD-47048 Germany Lublin University of Technology Department of Electronics and Information Technology Faculty of Electrical Engineering and Computer Science Lublin20-618 Poland Varanasi221005 India

Optomagnonics is a new field of research in condensed matter physics and quantum optics focused on strong magnon-photon interactions. Particular interest concerns realistic, experimentally feasible materials and prototype cheap elements for futuristic nanodevices implemented in the processing or storing of quantum information. Hence, magnon-photon entanglement is an essential ingredient since it allows manipulation and control of the quantum states of bipartite systems. Quantifying the entanglement between two continuous bosonic modes, such as magnons and photons, is not trivial. The state-of-the-art for today is the logarithmic negativity, calculated through the quantum Langevin equations subjected to thermal noise. However, due to its complexity, this method requires further approximation. Namely, after the linearization procedure, quantum operators are replaced by their semiclassical expectation values calculated near the steady state. The cost of this approximation is the loss of information about the phases of propagated quantum states. In the present work, we propose a new procedure that avoids the linearization of dynamics. Prior analyzing the quantum entanglement, we explore the nonlinear semiclassical dynamics in detail and precisely define the phase space. The typical nonlinear dynamical system holds bifurcation points and fixed points of different characters in its phase space: Saddle points, Stable and unstable spiral, and Stable node points. Here, we show that methods of the qualitative theory of nonlinear differential equations are also relevant for optomagnonic problems. Our main finding is that entanglement is not defined in the Saddle Point region. On the other hand, the maximum of the entanglement corresponds to the region near the border between the Stable node and Stable spiral regions. Our approach is quite general. However, in numerical calculations, we considered a particular system: optomagnonic crystal based on the yttrium iron garnet (YIG)

关键词： Covariance matrix

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