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Synchronization dynamics on power grids in Europe and the United States

Physical Review E 2022年第3期106卷 034311-034311页

作者： Géza Ódor Shengfeng Deng Bálint Hartmann Jeffrey Kelling Centre for Energy Research Institute of Technical Physics and Materials Science H-1525 Budapest Hungary Centre for Energy Research Institute for Energy Security and Environmental Safety H-1525 Budapest Hungary Faculty of Natural Sciences Technische Universität Chemnitz 09111 Chemnitz Germany Department of Information Services and Computing Helmholtz-Zentrum Dresden-Rossendorf 01314 Dresden Germany

Dynamical simulation of the cascade failures on the Europe and United States (U.S.) high-voltage power grids has been done via solving the second-order Kuramoto equation. We show that synchronization transition happens by increasing the global coupling parameter K with metasatble states depending on the initial conditions so that hysteresis loops occur. We provide analytic results for the time dependence of frequency spread in the large-K approximation and by comparing it with numerics of d=2,3 lattices, we find agreement in the case of ordered initial conditions. However, different power-law (PL) tails occur, when the fluctuations are strong. After thermalizing the systems we allow a single line cut failure and follow the subsequent overloads with respect to threshold values T. The PDFs p(Nf) of the cascade failures exhibit PL tails near the synchronization transition point Kc. Near Kc the exponents of the PLs for the U.S. power grid vary with T as 1.4≤τ≤2.1, in agreement with the empirical blackout statistics, while on the Europe power grid we find somewhat steeper PLs characterized by 1.4≤τ≤2.4. Below Kc, we find signatures of T-dependent PLs, caused by frustrated synchronization, reminiscent of Griffiths effects. Here we also observe stability growth following the blackout cascades, similar to intentional islanding, but for K>Kc this does not happen. For T

关键词： Critical phenomena Electric power transmission Nonequilibrium statistical mechanics Synchronization

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Reliable Multihop Routing and Congestion Aware Chicken Swarm Optimization in Vehicular Ad-Hoc Network

Reliable Multihop Routing and Congestion Aware Chicken Swarm...

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Integrated Circuits and Communication Systems (ICICACS), IEEE International Conference on

作者： Cuddapah Anitha Dalia Al-Tarazi GD. Vignesh A. Vinotha Vasuki Jayant Giri M. Dinesh Department of Computer Science and Engineering School of Computing Mohan Babu University Erstwhile Sree Vidyanikethan Engineering College Tirupati India Department of Architecture Engineering Faculty of Engineering Zarqa university Zarqa Jordan College of Engineering University of Business and Technology Jeddah Saudi Arabia Department of Electronics and Communication Engineering St. Joseph's College of Engineering Chennai India Department of Computer Science and Engineering J.P. College of Engineering Tenkasi India Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur India Division of Research and Development Lovely Professional University Phagwara India Department of VLSI Microelectronics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

Background: Vehicular Ad Hoc Networks (VANETs) play a crucial role in intelligent transportation by facilitating communication between vehicles and vehicles with infrastructure-based models. They encounter problems such as significant movement, overcrowding, and loss of data. This research presents a novel deep reinforcement learning-based resource allocation and congestion optimization (DRLRCO) framework aimed at improving communication efficiency and high reliability using an effective learning process. Method Used: The DRLRCO framework employs agent-based learning to ensure precise data transmission, AdMAC Protocol for dynamic packet delivery, and Congestion-Aware Chicken Swarm Optimization (CSO) to enhance network performance. Result: The DRLRCO framework surpasses reinforcement learning models for comprehensive testing. Significant enhancements involve improved accuracy, reduced data loss, minimized overhead, increased throughput, and shorter average delays for real-time communication. Conclusion: The DRLRCO framework successfully tackles congestion and data loss in vehicular communication. Future studies might involve Artificial Intelligence (AI) for traffic forecasting, experimentation among high-speed vehicles and investigating blockchain for enhanced security.

关键词： Vehicular ad hoc networks Routing Throughput Synchronization Resource management Dedicated short range communication Particle swarm optimization Artificial intelligence Vehicle dynamics Testing

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Fractional Dissipative PDEs

arXiv

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arXiv 2023年

作者： Achleitner, Franz Akagi, Goro Kuehn, Christian Melenk, Jens Markus Rademacher, Jens D.M. Soresina, Cinzia Yang, Jichen TU Wien Institute for Analysis and Scientific Computing Vienna1040 Austria Tohoku University Mathematical Institute Graduate School of Science Sendai980-8578 Japan Technical University of Munich Department of Mathematics Research Unit "Multiscale and Stochastic Dynamics" Garching b. München85748 Germany Garching b. München85748 Germany External Faculty Complexity Science Hub Vienna Vienna1080 Austria Universität Hamburg MIN faculty Department of Mathematics Applied Dynamical Systems Hamburg20146 Germany Universität Graz Department of Mathematics and Scientific Computing Graz8010 Austria Harbin Engineering University College of Mathematical Sciences Harbin150001 China

In this chapter we provide an introduction to fractional dissipative partial differential equations (PDEs) with a focus on trying to understand their dynamics. The class of PDEs we focus on are reaction-diffusion equations but we also provide an outlook on closely related classes of PDEs. To simplify the exposition, we only discuss the cases of fractional time derivatives and fractional space derivatives in the PDE separately. As our main tools, we describe analytical as well as numerical methods, which are generically necessary to study nonlinear dynamics. We start with the analytical study of steady states and local linear stability for fractional time derivatives. Then we extend this view to a global perspective and consider time-fractional PDEs and gradient flows. Next, we continue to steady states, linear stability analysis and bifurcations for space-fractional PDEs. As a final analytical consideration we discuss existence and stability of traveling waves for space-fractional PDEs. In the last parts, we provide numerical discretization schemes for fractional (dissipative) PDEs and we utilize these techniques within numerical continuation in applied examples of fractional reaction-diffusion PDEs. We conclude with a brief summary and outlook on open questions in the field. © 2023, CC BY.

关键词： Linear stability analysis

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Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: Challenges and a Roadmap

arXiv

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arXiv 2025年

作者： Xu, Jianye Alrifaee, Bassam Betz, Johannes Mokhtarian, Armin Mittal, Archak Cai, Mengchi Mangharam, Rahul Shehata, Omar M. Elias, Catherine M. Zaech, Jan-Nico Scheffe, Patrick Jahncke, Felix Ulhas, Sangeet Sankaramangalam Arfvidsson, Kaj Munhoz Department of Computer Science RWTH Aachen University Germany Department of Aerospace Engineering University of the Bundeswehr Munich Germany Professorship of Autonomous Vehicle Systems Technical University of Munich Germany Department of Civil Engineering Indian Institute of Technology Bombay India School of Vehicle and Mobility Tsinghua University China Department of Electrical and Systems Engineering University of Pennsylvania United States Mechatronics Engineering Department Faculty of Engineering and Materials Science The German University in Cairo Egypt Department of Computer Science Engineering The German University in Cairo Egypt INSAIT Sofia University "St. Kliment Ohridski" Bulgaria School for Engineering of Matter Transport and Energy Arizona State University United States Division of Decision and Control Systems KTH Royal Institute of Technology Sweden

This article proposes a roadmap to address the current challenges in small-scale testbeds for Connected and Automated Vehicles (CAVs) and robot swarms. The roadmap is a joint effort of participants in the workshop "1st Workshop on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms," held on June 2 at the IEEE Intelligent Vehicles Symposium (IV) 2024 in Jeju, South Korea. The roadmap contains three parts: 1) enhancing accessibility and diversity, especially for underrepresented communities, 2) sharing best practices for the development and maintenance of testbeds, and 3) connecting testbeds through an abstraction layer to support collaboration. The workshop features eight invited speakers, four contributed papers [1]–[4], and a presentation of a survey paper on testbeds [5]. The survey paper provides an online comparative table of more than 25 testbeds, available at https://***/testbeds-survey. The workshop’s own website is available at https://***/iv24-workshop. Copyright © 2025, The Authors. All rights reserved.

关键词： Testbeds

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Transforming 2D to 3D Light: Bringing AutoCAD Drawings to Life with Dialux Shadows and Light

Transforming 2D to 3D Light: Bringing AutoCAD Drawings to Li...

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International conference of Electronics, Communication and Aerospace Technology (ICECA)

作者： B Lalitha G. Ramya S. Ravi Jayant Giri Mahmoud Odeh Department of Electrical And Electronics Engineering KPR Institute Of Engineering and Technology Coimbatore Tamil Nadu India Department of Computing Technologies SRM Institute of Science and Technology Kattankulathur Chennai India Department of VLSI Microelectronics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS)Saveetha University Chennai Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur Division of Research and Development Lovely Professional University Phagwara India Department of Cyber Security Faculty of Information Technology Zarqa University Zarqa Jordan University of Business and Technology Jeddah Saudi Arabia

ISBN: (数字)9798350367904

ISBN: (纸本)9798350367911

This research study explores utilizing DIALUX lighting software to convert 2D AutoCAD drawings of an office space into realistic 3D environments showcasing light and shadows. With the click of a button, flat CAD floor plans can be populated with lights, shadows, material textures, and background views that completely transform them. This photorealistic transformation enables architects and designers to instantly visualize and evaluate how different lighting designs and placements will appear in the actual office. Rather than relying solely on abstract CAD plans, DIALUX gives specifiers the power to make lighting an integral part of the design process from inception. This paper provides guidelines for seamlessly connecting AutoCAD and DIALUX to rapidly iterate lighting schemes for enhanced 3D visualization of office spaces

关键词： Visualization Solid modeling Power system measurements Three-dimensional displays Lighting Transforms Aerospace electronics User experience Software Standards

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IoT-based Posture Pro: Safeguarding the Human Spine from the Onset of Hunchback in the Initial Stages

IoT-based Posture Pro: Safeguarding the Human Spine from the...

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International conference of Electronics, Communication and Aerospace Technology (ICECA)

作者： D Sathish Kumar G. Ramya S. Ravi Jayant Giri Mahmoud Odeh Department of Electrical And Electronics Engineering Karpagam Academy of Higher Education Coimbatore Coimbatore Tamil Nadu India Department of Computing Technologies SRM Institute of Science and Technology Kattankulathur Chennai India Department of VLSI Microelectronics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Saveetha University Chennai Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur Division of Research and Development Lovely Professional University Phagwara India Department of Cyber Security Faculty of Information Technology Zarqa University Zarqa Jordan University of Business and Technology Jeddah Saudi Arabia

ISBN: (数字)9798350367904

ISBN: (纸本)9798350367911

The Posture Pro, a smart body posture improver, is a specialized device aiding people in maintaining good posture while sitting or standing. It distinguishes itself from standard correctors by its ability to attach to and detach from a chair, providing customized support. Poor posture can lead to various health issues, such as headaches, stomach troubles, and back/neck discomfort. The Posture Pro gently realigns the shoulders and spine, reducing muscle and joint tension, improving circulation, and minimizing injury risk. It is especially beneficial for desk-bound individuals or those with chronic back pain, aiding in posture correction, pain relief, and enhanced mobility. It is critical to combine its use with regular exercise and stretching to maintain general wellness. There are other styles to choose from, such as materials for bracing that are apparent for support or covert ones that are worn under clothes. It is essential to fit and adjust properly to avoid pain or a worsening of existing conditions. It is advised to adopt the modified posture gradually to give the body time to adjust. The Posture Pro is a flexible way to correct posture both in and out of the chair because of its detachable and chair-fixable function.

关键词： Stomach Pain Ultrasonic variables measurement Shoulder Medical services Muscles Sensor systems Intelligent sensors Standards Sports

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Multi-Agent Economic Modeling Automation Technologies

Multi-Agent Economic Modeling Automation Technologies

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Aleksandra A. Zhukova Nikolai P. Pilnik Ivan G. Kamenev Batyrzhan B. Iusup-Akhunov Department of Mathematical Modelling in Economic Social and Ecological Systems Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences Moscow Russian Federation Department of Mathematical Modelling of Economic Systems Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences Moscow Russian Federation Department of Applied Economics Faculty of Economic Sciences HSE University Moscow Russian Federation Department of Fundamental Sciences-11 FSBEIHE Bauman Moscow State Technical University Moscow Russian Federation The Phystech School of Applied Mathematics and Informatics Moscow Institute of Physics and Technology Moscow Region Russian Federation

Complex economic models often describe the agent's decisions, i.e. choice of some controlled variables in accordance with criteria set by agents. Unlike purely statistical ones, agent-based models allow to describe processes with different modes, in which the agent's behavior changes quali-tatively when the environment (including the actions of other agents) change. The practical use of mathematical models of complex systems with a number of interacting agents is limited by complexity of their construction and possible errors when dealing with multitude of expressions. Computer tools, such as the “Ecomod” system discussed in the article, can substantially reduce the time spent on model creation and processing, and help to coordinate the work of several researchers on the model.

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Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment

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IEEE Transactions on Neural Networks and Learning Systems 2024年第6期36卷 10000-10014页

作者： Yiming Tang Wenbin Wu Witold Pedrycz Jianwei Gao Xianghui Hu Zhaohong Deng Rui Chen Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and Information Hefei University of Technology Hefei China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada School of Computer and Information Hefei University of Technology Hefei China Faculty of Automatic Control Electronics and Computer Science Silesian University of Tecghnology Gliwice Poland Research Center of Performance and Productivity Analysis Istinye University Istanbul TÃrkiye School of Computer Science and Engineering Southeast University Nanjing China School of Artificial Intelligence and Computer Jiangnan University Wuxi Jiangsu China

In current granular clustering algorithms, numeric representatives were selected by users or an ordinary strategy, which seemed simple; meanwhile, weight settings for granular data could not adequately express their structural characteristics. Aiming at these problems, in this study, a new scheme called a granular weighted kernel fuzzy clustering (GWKFC) algorithm is put forward. We propose the representative selection and granularity generation (RSGG) algorithm enlightened by the density peak clustering (DPC) algorithm. We build interval and triangular granular data on the strength of numeric representatives obtained by RSGG under the principle of justifiable granularity (PJG), in which we establish some combinations of functions and boundary constraints and prove their properties. Furthermore, we present a novel distance formula via the kernel function for granular data and design new weights to affect the coverage and specificity of granular data. In addition, based upon these factors, we come up with the GWKFC algorithm of granular clustering, and its performance with different granularity is assessed. To sum up, a macro framework involving granular modeling, granular clustering, and assessment has been set up. Lastly, the GWKFC algorithm and ten other granular clustering algorithms are compared by experiments on some artificial and UCI datasets together with datasets with large data or those of high dimensionality. It is found that the GWKFC algorithm can provide better granular clustering results by contrast with other algorithms. The originality is embodied as follows. First, we improve the previous density radius and present the RSGG algorithm to acquire numeric representatives. Second, we propose a new strategy to determine granular data boundaries and further obtain novel weights enlightened by the idea of volume. Lastly, we employ the kernel function to calculate the distance between granular data, which has a stronger spatial division ability than the pr

关键词： Clustering algorithms Data models Computational modeling Numerical models Kernel Phase change materials Granular computing Uncertainty Fuzzy sets Noise

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Selection of Suitable Automatic CPR Device Chassis Material Using Intuitionistic Fuzzy TOPSIS, VIKOR, and CODAS Methods

SSRN

引用

SSRN 2022年

作者： Kağızman, Ahmet Deveci, Kaan Sezer, Volkan Istanbul Technical University Institute of Science Ayazaga Campus Maslak Istanbul34469 Turkey Kirklareli University Faculty of Technology Department of Mechatronic Engineering Kayali Campus Kirklareli39000 Turkey Istanbul Technical University Energy Institute. İTÜ Energy Institute Ayazaga Campus Sariyer İstanbul34469 Turkey Istanbul Technical University Department of Control and Automation Engineering Ayazaga Campus Maslak Istanbul34469 Turkey

The alternative intervention method that should be applied in cases of cardiac arrest is Cardiopulmonary Resuscitation (CPR), which consists of effective chest compressions. Nowadays, chest compressions are performed in two different ways: Manually or using an automatic CPR device. Since manual chest compressions require an excessive amount of strength, cause fatigue in the provider even during the first minutes of CPR. Automatic CPR devices developed to provide more effective chest compressions also have not yet become widespread except in developed countries. In this study, it has been investigated whether CPR device chassis can be produced also with the presented thermoplastic materials instead of expensive materials such as carbon fiber or fiberglass used in existing devices. This study examined the problem of which thermoplastic material the chassis of the CPR device should be made of by the American Heart Association (AHA) standards and at a low cost under four main criteria (economic, manufacturability, sustainability, and structural features). The Intuitionistic Fuzzy (IF) TOPSIS, IF VIKOR, and IF CODAS methods, which are distance-based MCDM methods, have been used to solve this problem. According to the results obtained from the mentioned methods, it is seen that the most suitable material for the chassis of the CPR device should be Polycarbonate / Acrylonitrile Butadiene Styrene Flame Retardant (PC/ABS FR). © 2022, The Authors. All rights reserved.

关键词： Costs

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Improving the Electrical Machine Efficiency Using Variable Frequency Drive Compared With Multi-Level Inverter by Reduction of Power Loss

Improving the Electrical Machine Efficiency Using Variable F...

引用

Emerging Trends in Engineering and Medical sciences (ICETEMS), International Conference on

作者： G. Ramya Lalitha B Sathish Kumar D Rajkumar Chadge Mohammad Rasmi Al-Mousa S. Ravi Department of Computing Technologies Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Chennai India Department of Electrical and Electronics Engineering KPR Institute of Engineering and Technology Coimbatore Tamil Nadu India Department of EEE Karpagam Academy of Higher Education Coimbatore Tamil Nadu India Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur India Department of Cyber Security College of Information Technology Zarqa University zarqa jordan University of Business and Technology Jeddah Saudi Arabia Department of VLSI Microelectronics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Saveetha University Chennai

ISBN: (数字)9798331529352

ISBN: (纸本)9798331529390

The aim of this work is to run and speed control of the machinery using Innovative variable frequency drive for maximum efficiency. A total number of 14 samples are collected from MATLAB simulation, The Proposed Method is an Innovative variable frequency drive and the second Method is Multilevel Inverter where each method consists of 7 samples (GPower was used for sample size calculation). By implementing the Innovative variable frequency drive, the overall efficiency of the machinery is improved and the speed of the machine is controlled easily. Based on the results obtained, it is clear that maximum efficiency is achieved by Innovative variable frequency drive. From SPSS output analysis, the Innovative variable frequency drive has the highest efficiency of (85.85 %) and the Multilevel Inverter has lowest efficiency of (73.80 %). The significance value is 0.55 (statistically insignificant, $\mathrm{p}>0.05$ ). G power is taken as 0.80. It is observed that the simultaneous Innovative variable frequency drive performed significantly better than the existing Multilevel Inverter by reducing the power losses.

关键词： Motor drives Simulation Velocity control Variable speed drives Pulse width modulation Multilevel inverters Market research Power systems Machinery MATLAB

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