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41st IEEE Central America and Panama Student Conference, CONESCAPAN 2024

作者： Fung, Chi Sanchez-Galan, Javier E. Technological University of Panama Department of Computing and Systems Simulation Panamá Panama

ISBN: (纸本)9798350377590

Grammar inference is a machine learning branch that can be applied in a variety of contexts. One popular approach for inferring grammars is using deep neural networks. Recurrent neural network (RNN) architecture and its derivatives have been used in the past for this task due to their sequential nature. However there have been limitations in the kinds of grammars they can learn such as context-free grammars. Meanwhile, the transformer architecture has demonstrated remarkable success in various language modeling tasks. For this reason, transformer-based network ALBERT, was fine-tuned for the classification of a simple context-free grammar which mixes infix and postfix arithmetic notation. The fine-tuned model displayed an accuracy of 0.956 and an F1 score of 0.955. © 2024 IEEE.

关键词： Deep neural networks

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simulation Games in Geopolitical Problems Exploring 16

Simulation Games in Geopolitical Problems Exploring

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16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Ereshko, Felix Belotelov, Nikolay Brodsky, Yury Frc Csc Ras Information and Computing Systems Department Moscow Russia Frc Csc Ras Simulation Systems and Operation Research Department Moscow Russia

The paper discusses issues related to the use of simulation games to explore geopolitical issues. In the example of the geopolitical game held under the leadership of N.N. Moiseev at the computing Center of the USSR A... 详细信息

ISBN: (纸本)9798350337907

关键词： Decision support systems

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Islanding Detection In Bulk Power systems: A Data-Driven Approach

Islanding Detection In Bulk Power Systems: A Data-Driven App...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Golpîra, Hêmin Kuzle, Igor University of Kurdistan Power Systems Modeling & Simulation Lab. Department of Electrical Engineering Sanandaj Iran University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Zagreb Croatia

ISBN: (纸本)9789531842976

An attempt is made to propose a data-driven approach for detecting islanding in large-scale power systems. The method utilizes data collected by phasor measurement units (PMUs) to develop an equivalent model of the system. In this model, the system is represented by multiple centers of inertia (COIs) linked to a central point known as the center of gravity (COG) through fictitious reactances. These reactances, which are interpreted as the electrical distances between the local COIs and the COG, serve as a valuable indicator for detecting islanding. The occurrence of islanding can be identified by comparing the temporal trends of electrical distance variations across different areas. The effectiveness of the proposed methodologies is evaluated using simulated data from the 73-bus IEEE test system. © 2024 IEEE.

关键词： Phasor measurement units

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Grammar Inference of Mixed Notation Language Using ALBERT Model for String Validation

Grammar Inference of Mixed Notation Language Using ALBERT Mo...

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IEEE Central America and Panama Student Conference (CONESCAPAN)

作者： Chi Fung Javier E. Sanchez-Galan Department of Computing and Systems Simulation Technological University of Panama Panamá Panamá

ISBN: (数字)9798350377590

ISBN: (纸本)9798350377606

关键词： Training Computer languages Recurrent neural networks Accuracy Syntactics Transformers Tokenization Grammar Context modeling Arithmetic

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A Novel Class of Energy-Preserving Runge-Kutta Methods for the Korteweg-de Vries Equation

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Numerical Mathematics(Theory,Methods and Applications) 2022年第3期15卷 768-792页

作者： Yue Chen Yuezheng Gong Qi Hong Chunwu Wang Department of Mathematics Nanjing University of Aeronautics and AstronauticsNanjing 211106China Key Laboratory of Mathematical Modelling and High Performance Computing of Air Vehicles(NUAA) MIITNanjing 211106China Jiangsu Key Laboratory for Numerical Simulation of Large Scale Complex Systems Nanjing 210023China

In this paper,we present a quadratic auxiliary variable approach to develop a new class of energy-preserving Runge-Kutta methods for the Korteweg-de Vries *** quadratic auxiliary variable approach is first proposed to reformulate the original model into an equivalent system,which transforms the energy conservation law of the Korteweg-de Vries equation into two quadratic invariants of the reformulated *** the symplectic Runge-Kutta methods are directly employed for the reformulated model to arrive at a new kind of time semi-discrete schemes for the original *** consistent initial conditions,the proposed methods are rigorously proved to maintain the original energy conservation law of the Korteweg-de Vries *** addition,the Fourier pseudo-spectral method is used for spatial discretization,resulting in fully discrete energy-preserving *** implement the proposed methods effectively,we present a very efficient iterative technique,which not only greatly saves the calculation cost,but also achieves the purpose of practically preserving *** numerical results are addressed to confirm the expected order of accuracy,conservative property and efficiency of the proposed algorithms.

关键词： Quadratic auxiliary variable approach symplectic Runge-Kutta scheme energypreserving algorithm Fourier pseudo-spectral method

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simulation Games in Geopolitical Problems Exploring

Simulation Games in Geopolitical Problems Exploring

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International Conference on Management of Large-Scale System Development (MLSD)

作者： Felix Ereshko Nikolay Belotelov Yury Brodsky Information and Computing Systems Department FRC CSC RAS Moscow Russia Simulation Systems and Operation Research Department FRC CSC RAS Moscow Russia

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Biomedical Antenna Design Optimization Using Multi-Objective Inverse Neural Networks

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Progress in Electromagnetics Research C 2025年 154卷 47-59页

作者： Ben Melouka, Rania Ibtissam Tighilt, Yamina Zebiri, Chemseddine Karaçuha, Kamil Ferhat Hamida, Abdelhak Mashat, Arwa Alaoui, Nail Department of Electronics University of Ferhat Abbas Setif-1 Setif19000 Algeria Department of Electronics Faculty of Engineering University of Ferhat Abbas Setif-1 Setif19000 Algeria Electrical Engineering Department Istanbul Technical University Istanbul Turkey Department of Information Systems Faculty of Computing and Information Technology King Abdulaziz University P. O. Box 344 Rabigh21911 Saudi Arabia Laboratoire de Modélisation Simulation et Optimisation des Systèmes Complexes Réels University of Djelfa Djelfa17000 Algeria

A new approach based on an Inverse Artificial Neural Network (IANN) for Multi-Objective Antenna design is presented in this paper. The network sets geometrical variables as the output and uses three antenna performances as inputs. The proposed ANN model is structured into two distinct parts: In the first part, three autonomous branches establish the correlation among the S parameters, gain, specific absorption rate (SAR), and geometric variables of the antenna. The outputs of these branches are used as input in the second part to derive a distinctive solution for these geometric variables. The proposed antenna dimensions are 20 × 24 × 1.58 mm3, and an ultra-wideband of 4.1 GHz to 8.7 GHz is achieved in free space and on human tissue, which coincides with the 5.8 GHz ISM band. Body temperature and specific absorption rate are simulated using the suggested rectangular patch antenna. The resulting optimized antenna holds promising potential for biomedical applications. © 2025, Electromagnetics Academy. All rights reserved.

关键词： Inverse problems

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Islanding Detection In Bulk Power systems: A Data-Driven Approach

Islanding Detection In Bulk Power Systems: A Data-Driven App...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Hêmin Golpîra Igor Kuzle Department of Electrical Engineering Power Systems Modeling & Simulation Lab. University of Kurdistan Sanandaj Iran Department of Energy and Power Systems Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

ISBN: (数字)9798350390421

ISBN: (纸本)9798350390438

关键词： Islanding Europe Market research Phasor measurement units Smart grids Power system reliability Reliability Transient analysis Monitoring Gravity

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Floquet engineering of dressed surface plasmon polariton modes in plasmonic waveguides

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Physical Review B 2022年第23期106卷 235422-235422页

作者： Kosala Herath Malin Premaratne Advanced Computing and Simulation Laboratory (AχL) Department of Electrical and Computer Systems Engineering Monash University Clayton 3800 VIC Australia

We present a comprehensive study surface plasmon polariton (SPP) propagation on planar metallic waveguides under a dressing field. We perform a set of analytical calculations of the periodic time-dependent Schrödinger equation to study the interaction of an intense electromagnetic field with a metallic system. We model the strong light coupling to the metallic system using a nonperturbative procedure. In this paper, we show that, by introducing Floquet theory into the dressed metal, the behavior of the Floquet states are similar to the phase-modulated signals in the communication system. This will reveal a new perspective on the underlying science in an intricate, dressed quantum system. Furthermore, we examine the impurity scattering effects on charge transport in disordered plasmonic metals using the generalized Floquet-Fermi golden rule and provide a novel approach to diminish the losses in plasmonic materials using the dressing field. To gauge the effectiveness of our results, we introduce a figure of merit to compare the performance of plasmonic metals, subjective to a dressing field. The calculated dressed SPP characteristics suggest that high-efficiency SPP propagation can be achieved in practice. Our findings open up new directions for state-of-the-art nanoplasmonic devices.

关键词： Surface plasmons Waveguides Nanotechnology

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Generalized model for the charge transport properties of dressed quantum Hall systems

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Physical Review B 2022年第3期105卷 035430-035430页

作者： Kosala Herath Malin Premaratne Advanced Computing and Simulation Laboratory (AχL) Department of Electrical and Computer Systems Engineering Monash University Clayton 3800 VIC Australia

We present a generalized mathematical model for predicting the transport properties of a quantum system exposed to a stationary magnetic field and a high-intensity electromagnetic field. The new formulation, which applies to two-dimensional (2D) dressed quantum Hall systems, is based on Landau quantization theory and the Floquet-Drude conductivity approach. We model our system as a two-dimensional electron gas (2DEG) that interacts with two external fields. To analyze the strong light coupling with the 2DEG, we employ the Floquet theory as a nonperturbative procedure. Moreover, the Floquet-Fermi golden rule is adopted to explore the impurity scattering effects on charge transport in disordered quantum Hall systems. We derive fully analytical expressions to describe longitudinal components in the conductivity tensor in dressed quantum Hall systems. Subsequently, we demonstrate that the conductivity characteristics of quantum Hall systems can be manipulated using strong external light. Our results align with well-established and experimentally verified theoretical descriptions for undressed systems while providing a more generalized analysis of the conductivity characteristics in quantum Hall systems. Thus our model can be applied to accurately interpret the usage of strong external radiation as a tool in nanoscale quantum devices.

关键词： Hall effect Quantum transport 2-dimensional systems Floquet systems Drude model

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