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2023 International Workshop on Petri Nets and Software engineering, PNSE 2023

作者： Heldal, R. Kristensen, L.M. Lima, K. Oyetoyan, T. Nguyen, N.T. Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Sciences Bergen Norway

We present the Coloured Petri Nets (CPNs) modelling of the SmartOcean platform currently under development and aimed at providing cloud-based services for data-driven software systems and applications relying on marine data. The CPN model captures the systems-of-system architecture and the platform services, and is intended to evolve as a formal foundation along-side the implementation of the platform and its services. The CPN model encompass data-, messaging-, security-, and edge integration services with a focus on providing an abstract modelling of the service and system interaction. As part of the modelling work, we provide some general CPN patterns for system-of-systems modelling and service provision, consumption, and interaction. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Software architecture

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Cluster-preserving sampling algorithm for large-scale graphs

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Science China(Information Sciences) 2023年第1期66卷 60-76页

作者： Jianpeng ZHANG Hongchang CHEN Dingjiu YU Yulong PEI Yingjun DENG National Digital Switching System E&T Research Center Information Engineering University Network Systems Department of the Strategic Support Force School of Computer Science and Technology Eindhoven University of Technology Center for Applied Mathematics Tianjin University

Graph sampling is a very effective method to deal with scalability issues when analyzing largescale graphs. Lots of sampling algorithms have been proposed, and sampling qualities have been quantified using explicit properties(e.g., degree distribution) of the sample. However, the existing sampling techniques are inadequate for the current sampling task: sampling the clustering structure, which is a crucial property of the current networks. In this paper, using different expansion strategies, two novel top-leader sampling methods(i.e., TLS-e and TLS-i) are proposed to obtain representative samples, and they are capable of effectively preserving the clustering structure. The rationale behind them is to select top-leader nodes of most clusters into the sample and then heuristically incorporate peripheral nodes into the sample using specific expansion strategies. Extensive experiments are conducted to investigate how well sampling techniques preserve the clustering structure of graphs. Our empirical results show that the proposed sampling algorithms can preserve the population's clustering structure well and provide feasible solutions to sample the clustering structure from large-scale graphs.

关键词： graph sampling clustering structure top-leader nodes expansion strategies large-scale graphs

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Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第4期5卷 1443-1457页

作者： Chen, Ziheng Silvestri, Fabrizio Tolomei, Gabriele Wang, Jia Zhu, He Ahn, Hongshik Stony Brook University Department of Applied Mathematics and Statistics Stony BrookNY11794 United States Sapienza University of Rome Department of Computer Engineering The Department of Computer Science Rome00185 Italy Xi'An Jiaotong-Liverpool University Department of Intelligent Science Suzhou215000 China Rutgers University-New Brunswick Department of Computer Science PiscatawayNJ08854 United States

Counterfactual examples (CFs) are one of the most popular methods for attaching post hoc explanations to machine learning models. However, existing CF generation methods either exploit the internals of specific models or depend on each sample's neighborhood;thus, they are hard to generalize for complex models and inefficient for large datasets. This article aims to overcome these limitations and introduces ReLAX, a model-agnostic algorithm to generate optimal counterfactual explanations. Specifically, we formulate the problem of crafting CFs as a sequential decision-making task. We then find the optimal CFs via deep reinforcement learning (DRL) with discrete-continuous hybrid action space. In addition, we develop a distillation algorithm to extract decision rules from the DRL agent's policy in the form of a decision tree to make the process of generating CFs itself interpretable. Extensive experiments conducted on six tabular datasets have shown that ReLAX outperforms existing CF generation baselines, as it produces sparser counterfactuals, is more scalable to complex target models to explain, and generalizes to both the classification and regression tasks. Finally, we show the ability of our method to provide actionable recommendations and distill interpretable policy explanations in two practical real-world use cases. © 2020 IEEE.

关键词： Reinforcement learning

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electrically-Tunable Ceramic-Waveguide Filter

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Electromagnetic Science 2024年第4期2卷 11-20页

作者： Di Lu Baoqi Zhu Ming Yu Shenzhen Key Laboratory of EM Information Department of Electronic and Electrical EngineeringSouthern University of Science and TechnologyShenzhen 518055China Department of Electronic and Electrical Engineering Southern University of Science and TechnologyShenzhen 518055China National Center for Applied Mathematics Shenzhen(NCAMS) Shenzhen 518055China

Ceramic waveguide filters have been popular in 5G wireless system *** article proposes an effective solution to enable the ceramic waveguide filter to be electrically *** detail,a new varactor-tunable structure is developed to electrically control the resonant frequency(TE101 mode)of the ceramic waveguide *** novel coupling and feeding con-figurations are investigated,thus allowing the coupling coefficient and external quality factor(Qe)to be flexibly specified according to the prescribed *** element variable coupling matrices(EVCMs)for two-pole,three-pole cascade triplet(CT),four-pole cascade quadruplet(CQ),six-pole CT,and six-pole CQ filters with constant bandwidth are prescribed as the electrically-tunable *** the designs for the lossless filters are presented,and design results in agreement with the theory ones demonstrate the correctness of the proposed *** six-pole tunable CQ and CT filters are fabricated and assembled with the commercial-available *** measurement results show that the quasi-elliptic responses of two six-pole ceramic filters can be tuned from 3.4 GHz to 3.8 GHz by adjusting the tuning ***,the loading impact of the varactors on the unloaded quality factor(Qu)of the filter is further discussed.A fixed filter and an additional tunable filter are implemented and used to verify the investigation.

关键词： electrically-tunable ceramic-waveguide filters(ET-CWFs) Six-pole electrically-tunable filters Cascade triplet(CT) Cascade quadruplet(CQ)

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Deep Contrastive Learning Network for Small-Sample Hyperspectral Image Classification

Journal of Remote Sensing

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Journal of Remote Sensing 2023年第1期3卷 74-90页

作者： Quanyong Liu Jiangtao Peng Genwei Zhang Weiwei Sun Qian Du Hubei Key Laboratory of Applied Mathematics Faculty of Mathematics and StatisticsHubei UniversityWuhanChina Department of Gas Sensors and Chemometrics State Key Laboratory of NBC Protection for CivilianBeijingChina Department of Geography and Spatial Information Techniques Ningbo UniversityNingboChina Department of Electrical and Computer Engineering Mississippi State UniversityMississippi StateUSA

Recently,deep learning methods have been widely used in hyperspectral image(HSI)classification and achieved good ***,the performance of these methods may be limited because of the scarcity of labeled samples in HSI *** solve the small-sample classification problem,a deep contrastive learning network(DCLN)method is proposed in this *** proposed DCLN method first constructs contrastive groups and trains the network through contrastive ***,it uses the trained network to extract spectral-spatial features of HSI pixels and generates pseudo-label for each unlabeled sample based on the spatial-spectral mixing ***,the pseudo-labeled samples with higher confidence are selected and added to the original training set to retrain the *** gradually increasing pseudo-labeled samples and refining the contrastive learning network,the model shows good feature learning ability and classification performance with the limited labeled *** results on 4 public HSI datasets demonstrate that the proposed DCLN method can achieve better performance than existing state-of-the-art methods.

关键词： DCL Deep network

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Enhanced Stability of Microgrids based on Advanced Virtual Rotor Control and Vanadium Redox Flow Batteries 50

Enhanced Stability of Microgrids based on Advanced Virtual R...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Abbou, Hossam E.A. Benzoubir, Mohammed E. Hachemi, Ahmed Delassi, Abdelmoumene Arif, Salem Trabelsi, Mohamed Vahedi, Hani Bauer, Pavol Electrical Engineering Departement LACoSERE laboratory University of Amar Telidji Laghouat03000 Algeria Electrical Engineering Lab University of Kasdi Merbah Ouargla Algeria Electronics and Communications Engineering Department Kuwait College of Science and Technology Kuwait City27235 Kuwait Department of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands

ISBN: (纸本)9781665464543

This paper presents an innovative control strategy to enhance the stability of interconnected Microgrids (MGs) with low inertia and high penetration levels of Renewable Energies (REs). The proposed control strategy encompasses a new virtual droop control mechanism that emulates the primary control of synchronous generators for enhanced system stability. Additionally, a weighted Proportional-Integral (PI) controller is used to mitigate the adverse effects of measurement delays caused by Phase-Locked Loop (PLL) dynamics. Furthermore, a feedback integral loop is introduced to improve the efficiency and lifespan of Vanadium Redox Flow Batteries (VRFBs) enabling swift and precise power delivery while reducing steady-state errors. Finally, a new fractional-order virtual inertia control (VIC) is introduced to leverage the fractional derivatives and enhance the system's frequency response. The presented simulation results demonstrate the effectiveness of the proposed control approach in improving the frequency response and power exchange dynamics across interconnected MGs under various operating scenarios. © 2024 IEEE.

关键词： Microgrids

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Experimental validation of multiferroic antennas in GHz frequency range

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applied Physics Letters 2023年第16期123卷 1-6页

作者： Xu, Rui-Fu Ippet-Letembet, Louis-Charles Tiwari, Sidhant Yao, Zhi [Jackie] Huang, Shih-Ming Candler, Rob N. Chen, Shih-Yuan Graduate Institute of Communication Engineering National Taiwan University Taipei10617 Taiwan Department of Electrical and Computer Engineering University of California Los AngelesCA90095 United States Applied Mathematics and Computational Research Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States California NanoSystems Institute Los AngelesCA90095 United States Department of Electrical Engineering National Taiwan University Taipei10617 Taiwan

Various mechanical antennas have emerged to overcome the inherently narrower bandwidth and degraded efficiency in electrically small antennas. Among them, multiferroic antennas are expected to realize high-frequency applications and maintain their performance, even with significantly reduced sizes. However, experimental proof of such radiation from multiferroic or magnetoelectric coupling in the GHz range deserves further examination. This paper designs and fabricates a series of multiferroic antenna samples with mechanical resonances at around 3.5 and 6 GHz, and their radiation transmissions are tested at these resonances. Nickel, a magnetoelastic material, consistently exhibits magnetically induced radiation at both resonances. However, magnetic material consisting of Permalloy (Ni78Fe22), known for its much weaker magnetoelastic effects, still shows similar transmission behaviors at 3.67 GHz and enhanced power absorption at 6.42 GHz. Our results indicate that the dynamic response of magnetoelastic materials in the GHz band should differ from their response at the MHz and below bands. This evidence calls for further investigations of the source of magnetoelectric radiation. © 2023 Author(s).

关键词： Iron alloys

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Identifying the Optimal Size of a Hybrid Power System Using a Modified Genetic Algorithm 2

Identifying the Optimal Size of a Hybrid Power System Using ...

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2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024

作者： Suresh, S. Muthulakshmi, M. Bhuvanesh, A. Sankarasubramanian, R.S. Rajendran, S. Jeyamurugan, J. Sri Eshwar College of Engineering Department Electronics and Communication Engineering Tamil Nadu Coimbatore India PSN Engineering College Department of Information Technology Tamil Nadu Tirunelveli India PSN College of Engineering and Technology Department of Electrical and Electronics Engineering Tamil Nadu India PSG Institute of Technology and Applied Research Department of Mathematics Tamil Nadu Coimbatore India Kalasalingam Academy of Research and Education Department of Electrical and Electronics Engineering Tamil Nadu India PSN College of Engineering and Technology Department of Electrical and Electronics Engineering Tamil Nadu Tirunelveli India

ISBN: (纸本)9798350327533

The need for energy is at an increasing pace and it cannot be easily fulfilled by the normal energy systems which affect the environment in various ways. To overcome this problem, a hybrid power system (HPS) is used nowadays which is a combination of energy systems based on renewable and non-renewable. This study presents a wind hybrid energy system using a modified genetic algorithm mainly aimed at minimizing the implementation cost, and emission levels, and maximizing the high power supply reliability. The optimization results are improved by integrating the sizing methods to prevent load interruptions. The fitness function of the modified GA is set as power supply probability (LPSP) loss and nonrenewable energy factor (NREF). This model is confirmed by a case study and the optimal HPS results are evaluated with the conventional techniques. With the help of the battery depth of discharge, the discharge and state charge of battery are optimized. The outcome of the suggested model proves that it achieves effective LPSP output with appropriate sizing capacities by utilizing both solar and wind power. © 2024 IEEE.

关键词： Energy Optimization Hybrid Power System Logistic Chaos Loss of Power Supply Probability Modified Genetic Algorithm Wind Energy

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Towards Multi-Pbps Backbone Optical Networks in Support of Future 6G Networks

Towards Multi-Pbps Backbone Optical Networks in Support of F...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Tomkos, I. Papapavlou, Ch. Uzunidis, D. Moschopoulos, K. Muñoz, R. Marom, D.Μ. Nazarathy, M. Department of Electrical and Computer Engineering University of Patras Patras26504 Greece Castelldefels08860 Spain Institute of Applied Physics Hebrew University of Jerusalem Jerusalem91904 Israel Faculty of Electrical and Computer Engineering Technion Israel Institute of Technology Haifa3200 Israel

We describe innovative concepts associated with optical switching nodes and their transceiver interfaces that enable energy-efficient flexible capacity scaling (≥10 Tb/s per interface, ≥1 Pb/s capacity per link and ... 详细信息

ISBN: (纸本)9781957171395

关键词： Transceivers

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Qualitative behavior of a highly non-linear Cutaneous Leishmania epidemic model under convex incidence rate with real data

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Mathematical Biosciences and engineering 2024年第2期21卷 2084-2120页

作者： Alqhtani, Manal Saad, Khaled M. Zarin, Rahat Khan, Amir Hamanah, Waleed M. Department of Mathematics College of Sciences and Arts Najran University Najran Saudi Arabia Bangkok10140 Thailand Department of Mathematics and Statistics University of Swat Khyber Pakhtunkhawa Pakistan Applied Research Center for Metrology Standards and Testing King Fahd University of Petroleum and Minerals Dhahran31261 Saudi Arabia Department of Electrical Engineering College of Engineering and Physics King Fahd University for Petroleum and Minerals Dhahran Saudi Arabia

In the context of this investigation, we introduce an innovative mathematical model designed to elucidate the intricate dynamics underlying the transmission of Anthroponotic Cutaneous Leishmania. This model offers a comprehensive exploration of the qualitative characteristics associated with the transmission process. Employing the next-generation method, we deduce the threshold value R0 for this model. We rigorously explore both local and global stability conditions in the disease-free scenario, contingent upon R0 being less than unity. Furthermore, we elucidate the global stability at the disease-free equilibrium point by leveraging the Castillo-Chavez method. In contrast, at the endemic equilibrium point, we establish conditions for local and global stability, when R0 exceeds unity. To achieve global stability at the endemic equilibrium, we employ a geometric approach, a Lyapunov theory extension, incorporating a secondary additive compound matrix. Additionally, we conduct sensitivity analysis to assess the impact of various parameters on the threshold number. Employing center manifold theory, we delve into bifurcation analysis. Estimation of parameter values is carried out using least squares curve fitting techniques. Finally, we present a comprehensive discussion with graphical representation of key parameters in the concluding section of the paper. © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License.

关键词： Sensitivity analysis

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