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检索条件"任意字段=International Conference on Computer Modeling and Simulation"

共 35208 条记录，以下是241-250 订阅

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modeling and Lumped-Element Extraction of PCB-Based Laterally Coupled Coplanar Transformers

Modeling and Lumped-Element Extraction of PCB-Based Laterall...

引用

Thermal, Mechanical and Multiphysics simulation and Experiments in Micro-Electronics and Micro-Systems EuroSimE

作者： Ozberk Ozturk Najeh Zeidi Fares Tounsi Denis Flandre Murat Kaya Yapici Faculty of Engineering and Natural Sciences Sabanci University Istanbul Turkiye ICTEAM Institute UCLouvain Louvain-la-Neuve Belgium Faculty of Engineering and Natural Sciences Sabanci University Istanbul Türkiye Department of Electrical and Computer Engineering University of Washington Seattle USA

ISBN: (数字)9798350393002

ISBN: (纸本)9798350393019

In this paper, we present a comprehensive analysis of concentric and interleaved coplanar transformer models, focusing on key performance parameters such as self-inductance, resistance, mutual inductance, and interwinding capacitance. These parameters are used to develop a lumped-element model that accurately represents the behavior of a coplanar transformer. We propose a universal method based on FEM simulations to extract each parameter value, while the validity of the lumped model is verified by comparisons with measurements obtained from printed circuit board (PCB) transformers and HFSS simulations.

关键词： Resistance Analytical models Inductance Printed circuits Transformers Capacitance Vectors Finite element analysis Thermal analysis Integrated circuit modeling

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A Dynamical Equation Approach For Quasi-Periodic Gaussian Processes

A Dynamical Equation Approach For Quasi-Periodic Gaussian Pr...

引用

international conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Unnati Nigam Radhendushka Srivastava Michael Burke Faezeh Marzbanrad IITB-Monash Research Academy India Department of Mathematics IIT Bombay Mumbai India Department of Electrical and Computer Systems Engineering Monash University Clayton Australia

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Quasi (pseudo/approximate) periodic signals often occur in natural settings, particularly when a periodic signal is recorded with noise. In this work, we develop a new dynamical equation system to construct a family of Quasi-periodic Gaussian Processes (QPGP). We provide a computationally inexpensive algorithm based on a newly derived likelihood function for parameter estimation. Our approach also simplifies the signal forecasting. We illustrate via a simulation study that the proposed QPGP estimation strategy is faster as well and more accurate than existing constructions. Unlike these existing models, the proposed approach extends to multiple families of kernels, which we illustrate by modeling sunspot data with both periodic Matérn and MacKay’s covariance kernel. This shows the exclusive advantage of the new QPGP family proposed in this work.

关键词： Parameter estimation Computational modeling Noise Signal processing algorithms Gaussian processes Mathematical models Data models Kernel Forecasting Speech processing

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Joint Optimization of Wind Farm Layout Considering Yaw Control 8th

Joint Optimization of Wind Farm Layout Considering Yaw Cont...

引用

8th international conference on Life System modeling and simulation, LSMS 2024 and 8th international conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024

作者： Wang, Yiqun Jiang, Ruolin Chen, Yuanye Fang, Fang School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9789819602247

As wind farms continue to grow in size, minimizing wake losses between turbines in layout design becomes increasingly important. Current wind farm layout strategies often focus on the performance of individual turbines without considering wake interactions. This study introduces a coordinated control approach that considers wake effects and demonstrates an improved yaw control results to reduce the impact of wake interactions. By implementing cooperative yaw control among turbines and using the NSGA-II algorithm, the study establishes a dual optimization problem of minimizing turbine spacing and maximizing power output, ultimately yielding the optimal layout for wind turbines. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Wind turbines

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Digital Twin Technology in University Data Centers: A Model for Operational Efficiency and Sustainability

Digital Twin Technology in University Data Centers: A Model ...

引用

Euromicro conference on Parallel, Distributed and Network-Based Processing

作者： Viviana Vaccaro Lavinia Chiara Tagliabue Polytechnic University of Milan Milan Italy Department of Computer Science University of Turin Turin Italy

ISBN: (数字)9798331524937

ISBN: (纸本)9798331524944

The increasing energy demand of data centers poses a significant challenge for universities and public and private organizations striving to optimize energy resources and reduce environmental impact. Developing a digital twin for the Department of computer Science data center at the University of Turin represents a strategic approach to advanced monitoring and management. Specifically, the digital twin allows for the integration of real-time data with dynamic simulations, providing an accurate virtual representation of the data center. This model enables real-time energy load analysis, temperature distribution monitoring, and the simulation of corrective actions to improve HVAC system efficiency, optimize rack layout, and reduce cooling and ventilation energy consumption. The organization of the energy model requires a precise and complex structure, beginning with the modeling of the physical components of the data center and extending to the detailed simulation of thermal flows and zone interactions. The model configuration includes creating distinct thermal zones for hot and cold aisles, racks, and plenums to accurately reflect internal thermal exchange patterns. Integration with dynamic simulation tools enables precise parameter calibration to yield accurate performance and consumption predictions and provides a safe environment to test innovative technologies without impacting physical infrastructure. A digital twin also offers substantial opportunities for predictive maintenance, allowing timely interventions to prevent failures, and reduces operational costs through the simulation of optimization scenarios. In terms of sustainability, it facilitates life cycle analysis and carbon footprint reduction. Consequently, developing a digital twin for the University of Turin data center not only enhances system reliability and sustainability but also serves as a replicable example for other similar-sized facilities.

关键词： Life cycle assessment Data centers Analytical models Adaptation models Predictive models Data models Real-time systems Digital twins Sustainable development Load modeling

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A Multi-Agent Reinforcement Learning Scheme for SFC Placement in Edge Computing Networks

A Multi-Agent Reinforcement Learning Scheme for SFC Placemen...

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international conference on Computing, Networking and Communications (ICNC)

作者： Congzhou Li Zhouxiang Wu Divya Khanure Jason P. Jue Department of Computer Science The University of Texas at Dallas Richardson Texas USA

ISBN: (数字)9798331520960

ISBN: (纸本)9798331520977

In the 5G era and beyond, it is favorable to deploy latency-sensitive and reliability-aware services on edge computing networks in which the computing and network resources are more limited compared to cloud and core networks but can respond more promptly. These services can be composed as Service Function Chains (SFCs) which consist of a sequence of ordered Virtual Network Functions (VNFs). To achieve efficient edge resources allocation for SFC requests and optimal profit for edge service providers, we formulate the SFC placement problem in an edge environment and propose a multi-agent Reinforcement Learning (RL) scheme to address the problem. The proposed scheme employs a set of RL agents to collaboratively make SFC placement decisions, such as path selection, VNF configuration, and VNF deployment. simulation results show our model can improve the profit of edge service providers by 12% compared with a heuristic solution.

关键词： Cloud computing Service function chaining 5G mobile communication simulation Computational modeling Reinforcement learning Resource management Reliability Edge computing

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Predicting Workload in Virtual Flight simulations Using EEG Spectral and Connectivity Features

Predicting Workload in Virtual Flight Simulations Using EEG ...

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IEEE international conference on Artificial Intelligence and Virtual Reality (AIVR)

作者： Bas Verkennis Evy van Weelden Francesca L. Marogna Maryam Alimardani Travis J. Wiltshire Max M. Louwerse Department of Cognitive Science and Artificial Intelligence Tilburg University Tilburg Netherlands Faculty of Science Computer Science Vrije Universiteit Amsterdam Amsterdam Netherlands

ISBN: (数字)9798331521578

ISBN: (纸本)9798331521585

Effective cognitive workload management has a major impact on the safety and performance of pilots. Integrating brain-computer interfaces (BCIs) presents an opportunity for real-time workload assessment. Leveraging cognitive workload data from high-fidelity virtual reality (VR) flight simulations allows for dynamic adjustments to training scenarios. While prior studies have predominantly concentrated on EEG spectral power for workload prediction, delving into intra-brain connectivity may yield deeper insights. This study assessed the predictive value of EEG spectral and connectivity features in distinguishing high vs. low workload periods during simulated flight in VR and Desktop conditions. Using an ensemble approach, a stacked classifier was trained to predict workload from the EEG signals of 52 participants. Results showed that the mean accuracy of the model incorporating both spectral and connectivity features improved by 28% compared to the model that solely relied on spectral features. Further research on other connectivity metrics and deep learning models in a large sample of pilots is essential to validate the potential of a real-time workload-prediction BCI. This could contribute to the development of an adaptive training system for safety-critical operational environments.

关键词： Training Solid modeling Adaptation models Accuracy Aerospace simulation Virtual reality Brain modeling Electroencephalography Real-time systems Brain-computer interfaces

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Scientific Workflow Provenance Management: System Requirements and a Reference Architecture 20th

Scientific Workflow Provenance Management: System Requiremen...

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20th international conference on Grid, Cloud, and Cluster Computing, GCC 2024, 3rd international conference on Quantum Technologies, ICEQT 2024, and 21st international conference on modeling, simulation and Visualization Methods, MSV 2024, held as part of the World Congress in computer Science, computer Engineering and Applied Computing, CSCE 2024

作者： Kashliev, Andre Department of Computer Science Eastern Michigan University Ypsilanti United States

ISBN: (纸本)9783031858833

Scientific workflows have emerged as a new paradigm to facilitate and automate scientific processes. During workflow execution, the need often arises to capture and store the data derivation history, known as provenance, which describes the steps that yielded workflow output results. Workflow tools available today address this need by employing systems that capture provenance, store it in a database, and provide an interface for scientists to explore the stored data. However, these systems differ both in their functional and non-functional characteristics. This fact indicates that there is no agreement yet in the community about the essential capabilities that a provenance system has to provide. It is therefore important to develop a set of requirements for a scientific workflow provenance system. Furthermore, due to the lack of understanding of what these standard requirements should be, it is only natural that a standard system architecture for provenance management is missing. To address these shortcomings, in this paper, we 1) identify a set of functional and non-functional requirements for scientific workflow provenance management systems that cover key aspects of provenance storage, exploration, and reasoning, and 2) propose a reference system architecture for scientific workflow provenance management. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Provenance provenance system requirements scientific workflow

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Control of Chaos in Fractional computer Virus Model

Control of Chaos in Fractional Computer Virus Model

引用

Computational Intelligence Approaches and Applications (ICCIAA), international conference on

作者： Jamal Oudetallah Imane Zouak Wasim Audeh Adel Ouannas Amina-Aicha Khennaoui Iqbal M. Batiha Shaher Momani Department of Mathematics University of Petra Amman Jordan Department of Mathematics and Informatics University of Larbi Ben M'hidi Oum El Bouaghi Algeria NTIC Faculty University of Constantine 2 Constantine Algeria Department of Mathematics Al Zaytoonah University of Jordan Amman Jordan Nonlinear Dynamics Research Center (NDRC) Ajman University Ajman UAE Department of Mathematics University of Jordan Amman Jordan

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

This paper investigates the control of fractional discrete computer virus model. By employing fractional-order difference equations, we capture the complex dynamics and long- term memory effects inherent in virus propagation. A novel control strategy is proposed to stabilize the system and suppress virus outbreaks. The stability analysis of the controlled system is conducted. Numerical simulations are presented to validate the effectiveness of the proposed control approach. The results underscore the importance of control in managing fractional-order systems and highlight its potential applications in cyber security and other fields requiring precise regulation of complex dynamics.

关键词： computer viruses Computational modeling Difference equations Numerical simulation Stability analysis Regulation Mathematical models Numerical models Control theory Viruses (medical)

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Speed Control of Vehicles in Platoon Based on Ride Comfort

Speed Control of Vehicles in Platoon Based on Ride Comfort

引用

international conference on computer and Automation Engineering, ICCAE

作者： Masaki Takahashi Eisuke Kita Nagoya University Nagoya Japan

ISBN: (数字)9798331533816

ISBN: (纸本)9798331533823

This study describes the speed control of vehicles using a Helly model and a multiple leader vehicles Helly model when a vehicle platoon merges from the branch lane to the main lane traffic flow. The Helly model, which is one of the vehicle-following models, controls the acceleration according to the velocity diffirence and the difference between the vehicle distance and its ideal value. In order to keep the vehicle distance as the ideal value, the Helly model includes the ideal vehicle distance as a constant value. By varying the ideal vehicle distance and measuring the ride comfort level according to the distance, we design a model that allows for comfortable riding. In order to measure the effect, numerical simulations and experiments were conducted when one vehicle separates from the platoon of four vehicles and travels in a different direction. As a result, we concluded that, when driving with multiple Helly models, it is best to set the ideal distance between the vehicle to 4 [cm] and the actual vehicle scale of 4[m].

关键词： Correlation coefficient Automation Roads Computational modeling Velocity control Numerical simulation Numerical models Traffic congestion

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simulation of Radiation Non-Destructive Testing Operations Based on Virtual Reality and the NDE 4.0 Paradigm

Simulation of Radiation Non-Destructive Testing Operations B...

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international Russian Smart Industry conference (SmartIndustryCon)

作者： Vladimir Kuvshinnikov Evgeny Kovshov Research Laboratory of Digital Computer Systems and Automation JSC “Research and Development Institute of Construction Technology - Atomstroy” Moscow Russian Federation

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

The implementation of digital industrial technologies marks a pivotal step towards maximizing automation in production processes, aligning with the principles of Industry 4.0 and the NDE 4.0 paradigms. One key area of focus is the modeling of radiation non-destructive evaluation operations within a virtual reality framework. This innovative approach allows for the creation and software application of simulators specifically designed for non-destructive testing of various materials and products. In this context, a complex multi-component digital twin of radiographic image is proposed. The digital twin serves as a comprehensive virtual model that mirrors the characteristics and behaviors of its physical counterpart. The images are generated using discrete modeling techniques that utilize both fundamental physical principles and empirical data provided by manufacturers. This dual approach ensures that the resulting radiographic images closely resemble those produced during actual X-ray inspections. One of the spatial factors that affects image sharpness and quality of inspection is also included in the model. By utilizing virtual reality and digital twin technologies, radiation non-destructive testing training becomes more efficient and better aligned with the automation goals of contemporary industrial practices.

关键词： Training Radiography Solid modeling Virtual reality Production Organizations Inspection Digital twins X-ray imaging Testing

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