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High data rate underwater optical wireless communication systems with ICSM codes within green spectrum

Optical and Quantum Electronics 2025年第4期57卷 1-22页

作者： Abd El-Mottaleb, Somia A. Singh, Mehtab Atieh, Ahmad Aly, Moustafa H. Department of Mechatronics Engineering Alexandria Higher Institute of Engineering and Technology Alexandria Egypt Department of Electronics and Communication Engineering University Institute of Engineering Chandigarh University Punjab Mohali India Optiwave Systems Inc Ottawa Canada Arab Academy for Science Technology and Maritime Transport Alexandria1029 Egypt

Underwater Optical Wireless Communication (UOWC) is emerging as a promising technology for high-speed data transmission in marine environments. This paper introduces a new UOWC system that integrates Optical Code Division Multiple Access (OCDMA) using Identity Shift Column Matrix (ICSM) codes, specifically designed to enhance communication capacity. For generating the relevant optical signals for the ICSM code sequences, Laser Diodes (LDs) sources are utilized, operating in the green spectrum ranging from 532 to 538.4 nm, known for their low attenuation in UOWC environments, to achieve extended transmission ranges. The performance of the proposed system is rigorously evaluated across five distinct water types—Pure Sea (PS), Clear Ocean (CL), Coastal Sea (CS), Harbor I (HI), and Harbor II (HII)—which exhibit varying absorption and scattering coefficients. The key performance metrics are investigated including eye diagrams, Bit Error Rate (BER), Underwater (UW) transmission distances, and Quality Factor (Q-factor). The obtained results indicate that the system can achieve an overall capacity of 30 Gbps with a maximum UW transmission distance of 50 m in PS water, characterized by the lowest extinction coefficient, while the shortest effective range of 5.2 m is observed in HII water, with the highest extinction coefficient. These ranges are achieved below the threshold value of BER (3.8 ×10-3). © The Author(s) 2025.

关键词： Underwater optical wireless communication

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Security Evaluation of Open Access Wi-Fi Networks in a Public University in Junin, Peru 30

Security Evaluation of Open Access Wi-Fi Networks in a Publi...

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30th IEEE International Conference on Electronics, Electrical engineering and Computing, INTERCON 2023

作者： Aguilar, Brayan Orcada, Fabrizio Chamorro, Carlos Huamanchahua, Deyby Valcarcel-Castillo, Hector Universidad Continental Department of Systems and Computer Engineering Huancayo Peru Universidad Continental Department of Mechatronics Engineering Huancayo Peru Universidad de Ingenieria y Tecnologia - Utec Department of Electrical and Mechatronics Engineering Lima Peru

ISBN: (纸本)9798350315578

This article develops a topic of interest for users who can access the Internet and do not know the dangers of connecting to a free access network where the administrator of this is unknown, so a connection to this network would not be recommended. The central theme of this research is to demonstrate the risks of connecting to unknown access networks. The methodology used was the evaluation of how many users were being connected to the network created to monitor. The data obtained from users already connected have also been evaluated. According to the days they were connected through the networks, there is a strong demand for connected users. The conclusions show that some users are unaware of the dangers of connecting to one of these networks mentioned above and the risk of the amount of information that a person connected to the same network can obtain with the help of programs already created for its correct use. This work is a product of evaluating the dangers of connecting to an unknown network in Huancayo, Peru. © 2023 IEEE.

关键词： Wi-Fi

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Influence of Aerodynamic Couplings on the Support of Reserve Power with Wind Farms 32

Influence of Aerodynamic Couplings on the Support of Reserve...

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32nd Mediterranean Conference on Control and Automation, MED 2024

作者： Spichartz, Benedikt Sourkounis, Constantinos The Institute for Power Systems Technology and Power Mechatronics Ruhr University Bochum Faculty of Electrical Engineering and Information Technology Bochum44801 Germany

ISBN: (纸本)9798350395440

The transformation of the European grid from conventional to climate neutrality, leads to power converter dominated grids with changed requirements for grid stability. Especially wind farms have to contribute to grid support and grid building due to their high percentage on the total energy supply. While the provision of the required reserve power for stand-alone turbines by pitching or increasing the speed has been widely researched, there is a need for further investigations regarding the supply in wind farms due to the aerodynamic couplings. In this paper, requirements of the future grid are explained and the influence of wind speed changes caused by the reserve operation point are investigated. In this context, new definitions of sum-MPP and global-MPP are introduced. On the basis of simulation studies with dynamical wind turbine and wind emulation, advantages and disadvantages of the reserve strategies in a wind farm are discussed. The dynamic performance of inertia, primary and secondary power supply is investigated in terms of robustness and component stress. © 2024 IEEE.

关键词： Computational fluid dynamics

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Denoising and Extraction of Partial Discharge Pulse Characteristics Using Wavelet Denoising and Local Maxima Method 10

Denoising and Extraction of Partial Discharge Pulse Characte...

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10th IEEE International Conference on Power and Energy, PECon 2024

作者： Choudhary, Maninder Palu, Ivo Kiitam, Ivar Shafiq, Muhammad Taklaja, Paul Bhattarai, Abhinav Dept. of Electrical Power Engineering & Mechatronics Tallinn University of Technology Tallinn Estonia Center for Advanced Power Systems Florida Stage University Florida United States Dept. of Electrical Power Engineering Mechatronics Khatmandu University Kathmandu Nepal

ISBN: (纸本)9798350361971

Partial discharge (PD) pulse characteristics describe the nature of an insulation defect, its severity, and aging behavior of electrical insulation. However, extracting these characteristics requires sophisticated tools in order to denoise measured PD data, detect actual PD pulses, and analyze the corresponding characteristics. This paper proposes an effective tool that utilizes a simple hybrid approach based on wavelet denoising and the local maxima technique that denoises PD data acquired using a high-frequency current transducer. After denoising, it detects PD pulses from a time series dataset and identifies corresponding primary features like peak pulse amplitude and location. In addition, it can extract pulse shape (rise time, fall time and pulse width), and pulse sequence (voltage interval and time interval) features. Developed tool is computationally efficient as it precisely detects major PD events and corresponding features from a large data set while rejecting noise. Efficiency of tool is checked by implementing it on various data sets obtained from experimental investigation performed on three distinct types of defects, i.e., corona, surface, and internal discharge. Results show that this tool can be used for the identification of defect types, their progression, and aging studies to estimate the remaining lifetime based on changing PD behavior. ©2024 IEEE.

关键词： Partial discharges

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Validation of a Three-Dimensional Dynamic Wind Farm Flow Model for Real-Time Simulation 32

Validation of a Three-Dimensional Dynamic Wind Farm Flow Mod...

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32nd Mediterranean Conference on Control and Automation, MED 2024

作者： Kipke, Vile Sourkounis, Constantinos Institute for Power Systems Technology and Power Mechatronics Ruhr University Faculty of Electrical Engineering and Information Technology Bochum Bochum44801 Germany

ISBN: (纸本)9798350395440

This paper presents simulation results of a real-time capable three-dimensional wind farm flow model, which provides an environment to simulate aerodynamic conditions in wind farms and turbine interactions. It allows to develop, validate and improve individual turbine control, collective wind farm flow control and wind farm cluster optimization techniques while taking grid interactions into account. Wind farm optimization and grid integration will gain more interest, as wind energy is expected to strongly increase in the next years, resulting in more wind farms which are clustered and closely located. This work specifically addresses dynamic wake modeling to predict the impact of wind turbines on wind farm flow and power generation of individual turbines within a wind farm through wake interactions. The simulation framework is briefly described and particular modifications of the implemented wake model are presented. Simulation results are shown to demonstrate the model capabilities and are validated against data from literature to asses its accuracy and to determine further possible improvements. © 2024 IEEE.

关键词： Wakes

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A Large-Stroke 3-DOF Micromirror With Novel Lorentz Force-Based Actuators Utilizing Metallic Glass Thin Film

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Journal of Microelectromechanical systems 2024年第1期33卷 46-53页

作者： Ou, Chuan-Hui Van Toan, Nguyen Tsai, Yao-Chuan Voiculescu, Ioana Toda, Masaya Ono, Takahito Tohoku University Department of Mechanical Systems Engineering Sendai980-8570 Japan National Chung Hsing University Department of Bio-Industrial Mechatronics Engineering Taichung City40227 Taiwan The City College of New York Department of Mechanical Engineering New YorkNY10031 United States Tohoku University Micro System Integration Center Department of Mechanical Systems Engineering Sendai980-8570 Japan

An electromagnetic tip-tilt-piston micromirror with a large stroke is presented. This research introduced a novel actuation structure, based on a spring made from conductive metallic glass with excellent mechanical properties. For the first time, two functional elements, an electromagnetic actuation element and a mechanical support structure, were successfully integrated into a single-layer spring, made of metallic glass. With this novel actuator, the performance of stroke and angle controllability is remarkably improved. The fabricated device can achieve a 418 ~\mu \text{m} static stroke in upward direction. Furthermore, the tilting angles of the micromirror can be controlled with maximum accuracy of 0.05°/mA. The device is robust and has miniature dimensions, comparable or smaller, than existing electromagnetic micromirror dimensions published in literature. The displacement values of the micromirror are larger, compared to state-of-the-art electromagnetic micromirrors, which usually have strokes under 300 ~\mu \text{m} and do not have angle control mechanism. In spectrometer applications, the micromirror with a large stroke and controllable angle allows spectrometers to achieve higher resolution. These special qualities of the micromirror, will provide efficient, and reliable spatial light modulation required for interferometer applications. [2023-0104] © 1992-2012 IEEE.

关键词： Interferometers

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Advanced Constant Active Power and Inertia Control of Wind Power System with Supercapacitor Energy Storage System 32

Advanced Constant Active Power and Inertia Control of Wind P...

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32nd Mediterranean Conference on Control and Automation, MED 2024

作者： Isa, Abubakar Sourkounis, Constantinos Institute for Power Systems Technology and Power Mechatronics Ruhr University Bochum Faculty of Electrical Engineering and Information Technology Bochum44805 Germany

ISBN: (纸本)9798350395440

This paper presents an enhanced approach to managing a Double Fed Induction Generator (DFIG) wind turbine with a Supercapacitor (SC) energy storage system. The focus is on achieving constant active power and inertia control. The technique involves linking the supercapacitor to the DC link of the DFIG converters to achieve the desired constant wind active power control. Moreover, the impact of Virtual Inertia (VI) support via the Energy Storage System (ESS) and rotating mass of DFIG is investigated. The study includes a detailed analysis of two simulation scenarios, highlighting the respective advantages and limitations of each approach. © 2024 IEEE.

关键词： Wind turbines

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Deep Learning-Based Estimation of Arterial Stiffness from PPG Spectrograms: A Novel Approach for Non-Invasive Cardiovascular Diagnostics 46

Deep Learning-Based Estimation of Arterial Stiffness from PP...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Abrisham, Kiana Pilevar Alipour, Khalil Tarvirdizadeh, Bahram Ghamari, Mohammad Laboratory Department of Mechatronics Engineering School of Intelligent Systems Engineering College of Interdisciplinary Science and Technology Tehran Iran Kettering University Department of Electrical and Computer Engineering FlintMI United States

ISBN: (纸本)9798350371499

Cardiovascular diseases (CVDs), a leading cause of global mortality, are intricately linked to arterial stiffness, a key factor in cardiovascular health. Non-invasive assessment of arterial stiffness, particularly through Carotid-to-femoral Pulse Wave Velocity (cf-PWV) - the gold standard in this field - is vital for early detection and management of CVDs. This study introduces a novel approach, utilizing photoplethysmogram (PPG) signal spectrograms as inputs for deep learning models to estimate cf-PWV, a significant advancement over traditional methods. Employing a modified ResNet-18 architecture, we analyze PPG signals from digital, radial, and brachial arteries of a simulated dataset of 4374 healthy adults. Our methodology's innovation lies in its direct use of finely tuned spectrogram images, bypassing the complex feature extraction processes. This approach achieved R2 (correlation coefficient) values of up to 0.9902 for the digital artery, 0.9898 for the radial artery, and 0.9825 for the brachial artery, coupled with significantly lower Mean Absolute Percentage Errors (MAPE) of approximately 1.61% for the digital, 1.87% for the radial, and 2.08% for the brachial artery. These findings highlight the efficacy of PPG spectrograms, especially from the digital artery, in providing an accurate, user-friendly, and non-invasive method for cf-PWV estimation, thereby enhancing the capabilities of non-invasive cardiovascular diagnostics. © 2024 IEEE.

关键词： Photoplethysmography

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Pick-and-Place Operation of Linear Delta Robots with Low Energy Consumption 65

Pick-and-Place Operation of Linear Delta Robots with Low Ene...

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65th IEEE Annual International Scientific Conference on Power and Electrical engineering of Riga Technical University, RTUCON 2024

作者： Vodovozov, Valery Lehtla, Madis Raud, Zoja Petlenkov, Eduard Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia Tallinn University of Technology Department of Computer Systems Tallinn Estonia

ISBN: (纸本)9798350365771

To reduce energy consumption of linear Delta robots, two problems of optimal pick-and-place operation are solved in this work. The first one focuses on the minimization of power consumed by robots in statics as a function of robot joint configurations. This problem is essential for systems used in quality control, welding, assembling, loading, packaging, or wrapping, in which the steady state placing and holding phases of the process cycle continue much longer time than picking. The second problem is concentrated on a search for the shortest route of all joint movements at which the overall energy consumption is minimal. This problem is actual in the processes where the fastest picking and placing cycles are needed. To solve both problems, a new neural network based computer model of the linear Delta robot is developed along with novel energy monitoring procedures. The applicability and feasibility of the offered optimization tools are confirmed by measurements on the Festo EXPT-45-E1 robot. © 2024 IEEE.

关键词： Robots

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IoT Device Security for Smart Card Fraud Detection for Credit Cards 2

IoT Device Security for Smart Card Fraud Detection for Credi...

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2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2023

作者： Devi, R. Aiyshwariya Raffik, R. Sabitha, B. Akila, K. Computer Science and Business Systems Psna College of Engineering and Technology Dindigul India Mechatronics Engineering Kumaraguru College of Technolgy Coimbatore India

ISBN: (纸本)9798350306811

Credit card theft is on the upswing as technology advances. Also, it may be appealing that as global communication advances, economic fraud is sharply rising. Millions of dollars are lost every day due to these frauds, according to records. master card fraud states to the somatic forfeiture of the master card or defeat of profound master card information. For detection, a variety of machine learning methods are frequently utilized. This study presents a few of the algorithms that will be used to catalogue connections as faithful or fraudulent credit cards. The study used a dataset for fraud detection. Sorting and searching were utilized for oversampling because the dataset was quite unbalanced. NFC technology is decisive for user re-authentication as integrates the Internet of Things for double transaction verification to reduce fraudulent transactions, Random Forest, Bayesian Network, and Multilayer Perception were the strategies adopted in the experiment, including feature selection and dataset division into training and test data. Results show that every technique is regularly and reliably used to spot master card fraud. © 2023 IEEE.

关键词： Bayesian networks

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