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Conference on Lasers and Electro-Optics Europe (CLEO EUROPE)

作者： Stavros Deligiannidis Nikos Argyris Stefanos Dris Dimitrios Kalavrouziotis Paraskevas Bakopoulos Charis Mesaritakis Adonis Bogris Department of Informatics and Computer Engineering University of West Attica Athens Greece NVIDIA Athens Greece Dept. Information and Communication Systems Engineering University of the Aegean Karlovasi Samos Greece

ISBN: (纸本)9798350345995

The design of photonic/opto-electronic structures is a crucial field of research due to the wide range of applications in which these devices are utilized, such as communications, sensing and imaging. The traditional approach to design, which involves numerical simulation and iterative adjustments, is both time-consuming and computationally intensive. The ability to design-emulate photonic structures quickly and efficiently could bring new technologies to market at a faster pace and can also facilitate the process of extracting critical performance metrics from complex fabricated devices. The Vertical Cavity Surface Emitting Laser (VCSEL) and its use as a transmitter broadly used in data center interconnects is an example of a rather complex nonlinear system also exhibiting bandwidth limitation mechanisms attributed to its frequency response and parasitic effects, and thus its numerical simulation based on conventional rate equations can only partially approximate its behavior. When it comes to modelling fabricated devices, such physical models are notoriously difficult to parameterize in order to fit to observed laboratory data; in contrast, the emulation of the experimentally recorded behavior with the use of nonlinear models based on neural networks provides a much more efficient path to modelling, and with potentially higher prediction accuracy [1]. In this work, two types of bidirectional recurrent neural networks (RNN), namely Long Short-Term Memory (bi-LSTM) and Vanilla (bi-VRNN) were used to simulate the dynamic behavior of an experimentally characterized VCSEL-based, PAM-4 transmitter, exhibiting a high prediction accuracy approaching 100%.

关键词： Interpolation Multimode fibers Neural networks Numerical simulation Optical systems Vertical cavity surface emitting lasers

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Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed Circuits

arXiv

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arXiv 2023年

作者： Armeniakos, Giorgos Zervakis, Georgios Soudris, Dimitrios Tahoori, Mehdi B. Henkel, Jörg The School of Electrical and Computer Engineering National Technical University of Athens Athens15780 Greece Karlsruhe76131 Germany The Computer Engineering & Informatics Dept. University of Patras Patras26504 Greece Department of Computer Science Kit Karlsruhe76131 Germany

Printed Electronics (PE) exhibits on-demand, extremely lowcost hardware due to its additive manufacturing process, enabling machine learning (ML) applications for domains that feature ultra-low cost, conformity, and non-toxicity requirements that silicon-based systems cannot deliver. Nevertheless, large feature sizes in PE prohibit the realization of complex printed ML circuits. In this work, we present, for the first time, an automated printed-aware software/hardware co-design framework that exploits approximate computing principles to enable ultra-resource constrained printed multilayer perceptrons (MLPs). Our evaluation demonstrates that, compared to the state-of-the-art baseline, our circuits feature on average 6x (5.7x) lower area (power) and less than 1% accuracy loss. © 2023, CC BY-NC-ND.

关键词： Timing circuits

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Directional Metasurface Using Transistor-Loaded Circularly Polarized Antenna Elements

Directional Metasurface Using Transistor-Loaded Circularly P...

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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023

作者： Chatzichristodoulou, David Vryonides, Photos Psychogiou, Dimitra Nikolaou, Symeon Frederick Research Center Nicosia Cyprus Rf and Microwave Solutions Ltd Cyprus School of Engineering University College Cork CorkT12 K8AF Ireland Tyndall National Institute CorkT12 R5CP Ireland Frederick University Dept. Electrical Computer Engineering and Informatics Nicosia Cyprus

ISBN: (纸本)9781665442282

This paper discusses the RF design of a compact metasurface that enables directional propagation characteristics. It allows for circularly-polarized waves to penetrate through its volume in one direction of propagation whereas it absorbs them in the reverse one. Directionality is achieved by combining two transistors with two circularly-polarized patch antennas in each unit cell of the metasurface. A compact multi-layer integration scheme is proposed and is demonstrated through electromagnetic (EM) simulations at S-band. The proposed metasurface configuration exhibits directional characteristics with the following performance metrics. BW in the forward direction: 3.4-3.7 GHz, maximum Gain in the forward direction: 29 dB, isolation in the reversed direction> 50 dB. © 2023 IEEE.

关键词： Microstrip antennas

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Design and Implementation of 2-DOF Arm Manipulator Robot as Robotic Kinematic Learning Platform

Design and Implementation of 2-DOF Arm Manipulator Robot as ...

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Vocational Education and Electrical engineering, International Conference on

作者： Parama Diptya Widayaka Pradini Puspitaningayu Sayyidul Aulia Alamsyah Rifqi Firmansyah Muktiadji Arif Widodo Rifqi Abdillah Dept. of Electrical Engineering Universitas Negeri Surabaya Surabaya Indonesia Dept. of Electrical and Computer Engineering King Abdulaziz University Jeddah Saudi Arabia Graduate school of Interdisciplinary Science and Engineering in Health Systems Okayama University Okayamas Japan Dept. of Informatics Institut Teknologi Sepuluh Nopember Surabaya Surabaya Indonesia

Technological developments have impacts and challenges in human life. Technological advances have made human life easier. The impact of technological developments is the industrial manufacturing process getting faster with the help of robotics technology. Robots can shorten manufacturing process time and efficient. On the other hand, challenges with technological developments force us to keep learning and adaptive to every changes around us, especially in the education sector. In education sector, formal educational institutions or campuses must be able to facilitate students to be able to learn comprehensively in the field of technology, especially robotics, where we can make an innovative learning platform based on robotics technology. In this study, we discussed a 2-DOF arm manipulator robot as kinematics learning platform of industrial robot to increase student competencies in preparation for facing the industrial environment in century. Inverse kinematics equation has been applied in the robot by providing input coordinates on the x-axis and y-axis where the accuracy value on the x-axis is 77% and the accuracy on the y-axis is 83.1%.

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Auto-Adaptive Stator Ground Fault Protection for Synchronous Generators in Diesel-Electric Locomotives

Auto-Adaptive Stator Ground Fault Protection for Synchronous...

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IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED)

作者： Kumar Mahtani José M. Guerrero Luis F. Beites Carlos A. Platero Automation Electrical and Electronic Engineering and Industrial Informatics Dept. Universidad Politécnica de Madrid Madrid Spain Electronics and Computer Science Dept. Mondragon Unibertsitatea Arrasate-Mondragon Spain Automation Electrical and Electronic Engineering and Industrial Informatics Department Universidad Politécnica de Madrid Madrid Spain

Diesel-electric locomotives are equipped with one or more synchronous generators driven by diesel engines, that provide the necessary electrical energy for their operation. These generators are usually provided with some protection relays, depending on their rated power and their type of service. Standard stator-ground fault protection has a setting for rated conditions. In case of variable speed and voltage operation, the protection does not cover all the operation range of the machine. In addition, unwanted tripping may occur due to incorrect filtering of the third harmonic. In this paper, an auto-adaptative stator ground protection function is presented, for the operation of synchronous machines at variable voltage and frequency. A specific case study is tackled, focused on the main generators of a diesel-electric locomotive. Numerous simulations are carried out to verify the proposed protection method. The obtained results are promising, and they can be used in other synchronous machines operating at variable speed.

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Evaluating the Impact of Data Cleaning for Improving Road Damage Detection Through Vision Transformer

Evaluating the Impact of Data Cleaning for Improving Road Da...

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2025 IEEE International Conference on Consumer Electronics, ICCE 2025

作者： Desman, Andy Muchtar, Kahlil Oktiana, Maulisa Fitria, Maya Away, Yuwaldi Fardian, Fardian Riza, Hammam Dept. of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh Indonesia Banda Aceh Indonesia Indonesia The Master Program in Artificial Intelligence The Department of Informatics Universitas Syiah Kuala Banda Aceh Indonesia

ISBN: (纸本)9798331521165

The WHO predicts that by 2030 road accidents will be the 5th leading cause of death. Globally, road accidents account for 1.25 million casualties each year, and road defects cause 34% of these casualties. The road survey process in many countries have several challenges, one of which is detection using cameras that do not have a recognition system. In this study, a model with YOLOS architecture based on Vision Transformer trained on the RDD2022 dataset successfully recognizes road damage well, as indicated by the number of objects detected, bounding box on accurate objects, and the ability to recognize objects with inconsistent shadow and light inference. This research uses assessment parameters such as Average Precision (AP) and Average Recall (AR) to determine the overall performance of the model. The model achieves the highest AP value at Intersection of Union (IoU) 0.5, 0.75, and 0.5-0.95, worth 62.1%, 37.1%, and 36.2% respectively, and the highest AR value in Large, Medium, and Small Areas, worth 42.1%, 60.3%, and 75.4% respectively. The supplementary material can be found through this link: https://***/watch?v=LzkI2e_IORE. © 2025 IEEE.

关键词： Traffic surveys

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A Study of Multilayer Omega Networks Operating with Cut-Through Mechanism under Uniform Traffic 5

A Study of Multilayer Omega Networks Operating with Cut-Thro...

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5th South-East Europe Design Automation, computer engineering, computer Networks and Social Media Conference, SEEDA-CECNSM 2020

作者： Stergiou, Eleftherios Garofalakis, John Liarokapis, Dimitrios Margariti, Spiridoula V. University of Ioannina Dept. Informatics and Telecommunications Arta Greece Dept. of Computer Engineering and Informatics Patras Greece

ISBN: (纸本)9781728164458

There is an enduring interest in developing more efficient multistage interconnection networks (MINs), as they are a key aspect of various switching sectors and the demands for higher data transfer rates. Here, semi-layer Omega type networks operating under the cut-through forwarding policy are selected as a test-bed subject for performance evaluation. This special shuffle-exchange network was modelled, analysed, and simulated. Moreover, this type of fabric is compared with corresponding single-layer Omega networks operating via cut-through or a 'store and forward' forwarding technique. The results show, in a quantitative manner, how superior is the under study fabric compared to the corresponding single-layer constructions, in terms of network size, showing the advantages that are provided by both usages: fan-out and cut-through mechanisms. Moreover, the roles of the switch element's size and the reliability metric were investigated. The findings that are derived can be valuable assets for MIN designers, in order to achieve more efficient delivering networks with low overall deployment costs. © 2020 IEEE.

关键词： Data transfer

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A Dynamic Fuzzy Neural System for Time Series Classification 10

A Dynamic Fuzzy Neural System for Time Series Classification

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10th IEEE International Conference on Intelligent Systems, IS 2020

作者： Kandilogiannakis, George Mastorocostas, Paris Hilas, Costas University of West Attica Dept. of Informatics and Computer Engineering Athens Greece International Hellenic University Dept. of Computer Informatics and Telecommunications Engineering Serres Greece

ISBN: (纸本)9781728154565

A dynamic fuzzy neural system is proposed, for time series anomaly detection. The model is entitled BFuzzTiD (Block-diagonal Fuzzy Time-series Detector) and consists of fuzzy rules whose consequent parts are three-layer small recurrent neural networks. The hidden layer of each network has blocks of neurons that feed back to each other. BFuzzTid is trained by the Dynamic Resilient Propagation algorithm. The model learns the dynamics of the time series such that it can classify them by detecting the anomaly points. A comparative analysis is conducted with a series of time series anomaly detection models, in order to investigate the capabilities of the proposed detector. © 2020 IEEE.

关键词： Time series

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Visual Field Prediction for Fundus Image with Generative AI

Visual Field Prediction for Fundus Image with Generative AI

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International Conference on Ubiquitous Information Management and Communication (IMCOM)

作者： Honggu Kang Seonghyeon Ko Juchan Kim Duc-Tai Le Junghyun Bum Jongchul Han Hyunseung Choo Dept. of AI Systems Engineering Sungkyunkwan University Suwon South Korea College of Computing and Informatics Sungkyunkwan University Suwon South Korea Sungkyun AI Research Institute Sungkyunkwan University Suwon South Korea Dept. of Ophthalmology Samsung Medical Center Seoul South Korea Dept. of Electrical and Computer Engineering Sungkyunkwan University Suwon South Korea

Accurate diagnosis of glaucoma is crucial due to its high risk of blindness, but the long examination time often undermines the reliability of results by examinee's subjective factors. We propose a method to reduce examination time by generating static perimetry results with Conventional Fundus Images (CFIs) utilizing the CFI2GM technique, which leverages multimodal data. Based on data from 3,306 glaucoma patients at Samsung Medical Center in Seoul, we conducted ophthalmic image translation utilizing the Pix2Pix model. Our method, combining cGAN, L1, and SSIM loss, achieved MSE 57.9886 and PSNR 30.6057 dB. Furthermore, we received positive feedback from ophthalmologist regarding the high practical applicability of the images generated by our method. This indicates that CFI2GM can enhance the reliability of glaucoma examination results as well as reduce testing time.

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Non-collocated Vibration Suppression using Delay-Based Controllers with Multiple Fixed Delays*

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IFAC-PapersOnLine 2023年第2期56卷 180-185页

作者： Adrian Saldanha Wim Michiels Tomáš Vyhlídal Department of Computer Science KU Leuven Celestijnenlaan 200A 3001 Leuven Belgium Dept. Instrumentation and Control Engineering Faculty of Mechanical Engineering and Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Prague 6 Czechia

The problem of non-collocated vibration absorption is targeted utilizing a multiparameter delay-based controller. The combined objective is to achieve closed-loop stability and vibration suppression at a target location, which is different from the position of the absorber. This problem can be translated into an optimization problem of shaping the poles of a closed-loop system with delays subject to zero-location constraints. The solution approach involves remodelling the closed-loop system as a system of delay-differential algebraic equations (DDAEs) which allows to systematically account for delays in the control law, thereby enabling a straightforward technique for computation of controller parameters. Finally, the proposed design method is validated by simulation on a lumped parameter model of a mass-spring-damper system.

关键词： vibration suppression time-delay systems DDAE optimization

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