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检索条件"任意字段=International Conference on Simulation and Modeling Methodologies, Technologies and Applications"

共 3911 条记录，以下是201-210 订阅

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Design of a simulation Platform to Test the Suitability of Different PEM Electrolyzer Models to Implement Digital Replicas 11

Design of a Simulation Platform to Test the Suitability of D...

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11th international conference on simulation and modeling methodologies, technologies and applications (SIMULTECH)

作者： Folgado Gaspar, Francisco Javier Calderon Godoy, A. Jose Gonzalez Perez, Isaias Calderon Godoy, Manuel Portalo Calero, Jose Maria Orellana Martin, Diego Univ Extremadura Ind Engn Sch Ave Elvas Badajoz Spain

ISBN: (纸本)9789897585289

Green hydrogen is produced from renewable energies, being a promising integration in the field of microgrids. For a proper utilization, hydrogen generators, known as electrolyzers, must be studied and handled with a deep knowledge about their complex and non-linear behavior. In this sense, digital replicas (DR) are mainly based on mathematical models and constitute a merging paradigm envisioned to accurately represent the operation of physical systems within a simulated framework. This paper presents the development and initial implementation of a platform to simulate different models of proton exchange membrane electrolyzers aiming at evaluating their fitness and performance. The suite Matlab/Simulink has been applied including a Graphical User Interface to facilitate the interaction with the user. This tool is envisioned to contribute scientists to select and develop DR of such challenging equipment for tasks like performance analyses, prognostics and control purposes. The main features of the platform as well as preliminary results are reported.

关键词： Digital Replica simulation Matlab/Simulink Electrolyzer Green Hydrogen Microgrid

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Design and Development of a Miniaturized Multi-Frequency Microstrip Patch Antenna for IoT applications: Enhancing Bandwidth and Performance Through Slotted Geometry 2

Design and Development of a Miniaturized Multi-Frequency Mic...

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2nd international conference on Microwave, Antenna and Communication, MAC 2024

作者： Khanderao Ghorpade, Sheetal Bhopale, Santosh D D.Y. Patil College of Engineering & Technology Dept. of Electronics and Telecommunication Maharashtra Kolhapur India

ISBN: (纸本)9798350350104

This electronic document is a live template and already defines. This paper presents the design and development of a miniaturized multiband microstrip patch antenna operating in the wireless spectrum for IoT applications. With the requirement for multiple IoT devices that are compact in size and that operate below 6 GHz, there is a need to have compact size antennas without deterioration in performance. Thus, the antenna designed should be wideband with minimum size for operation at 2.4 GHz corresponding to the Wi-Fi frequency band. In this design, the approach used is slotted geometry, which reduces the dimensions of the antenna without performance compromise. modeling and optimization are carried out using the Mentor Graphics electromagnetic simulation software. The main performance parameters include bandwidth, gain, directivity, and return loss, which are analyzed and optimized. The present work focuses on the fabrication and validation of the simulated results using Vector Network Analyzer measurements. It is expected from this letter that a wideband microstrip patch antenna offering high bandwidth with positive gain should be realized with a compact form factor so as to easily deploy on an IoT device. In this respect, research is continuous contributions regarding the miniaturization of antennas for new wireless technologies, especially in the IoT domain. © 2024 IEEE.

关键词： Slot antennas

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Simulating Live Cloud Adaptations Prior to a Production Deployment using a Models at Runtime Approach 11

Simulating Live Cloud Adaptations Prior to a Production Depl...

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11th international conference on simulation and modeling methodologies, technologies and applications (SIMULTECH)

作者： Erbel, Johannes Trautsch, Alexander Grabowski, Jens Univ Goettingen Inst Comp Sci Goldschmidtstr 7 Gottingen Germany

ISBN: (纸本)9789897585289

The utilization of distributed resources, especially in the cloud, has become a best practice in research and industry. However, orchestrating and adapting running cloud infrastructures and applications is still a tedious and error-prone task. Especially live adaptation changes need to be well tested before they can be applied to production systems. Meanwhile, a multitude of approaches exist that support the development of cloud applications, granting developers a lot of insight on possible issues. Nonetheless, not all issues can be discovered without performing an actual deployment. In this paper, we propose a model-driven concept that allows developers to assemble, test, and simulate the deployment and adaptation of cloud compositions without affecting the production system. In our concept, we reflect the production system in a runtime model and simulate all adaptive changes on a locally deployed duplicate of the model. We show the feasibility of the approach by performing a case study which simulates a reconfiguration of a computation cluster deployment. Using the presented approach, developers can easily assess how the planned adaptive steps and the execution of configuration management scripts affect the running system resulting in an early detection of deployment issues.

关键词： Cloud simulation Runtime Model Adaptation DevOps

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Developing Autonomous Driving Performance Through Neuro Evolutionary Training: A simulation-Based Approach 9

Developing Autonomous Driving Performance Through Neuro Evol...

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9th international conference on Science, Technology, Engineering and Mathematics, ICONSTEM 2024

作者： Balaji Vasan, R.J. Manoj, J. Visaal, K.S. Northeastern University Department of Mechanical Boston United States Vit University Department of Mechanical Chennai India

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365092

Autonomous driving technology is poised to transform transportation systems, yet ensuring reliable and robust autonomous behavior remains a formidable challenge. This paper presents a simulation-based approach leveraging NeuroEvolution of Augmenting Topologies (NEAT) and Python programming to enhance autonomous driving performance. Through NEAT, neural networks are trained to control simulated vehicles in diverse environments generated using Pygame. Evolutionary algorithms within NEAT optimize neural network architectures and driving behaviors, enabling vehicles to adapt and refine their decision-making abilities over time. The study examines the influence of key factors such as sensor configurations, environment complexity, and training methodologies on driving performance. Comparative analysis with traditional machine learning techniques offers insights into the advantages and limitations of NEAT for autonomous driving applications. The research contributes to the advancement of autonomous vehicle technology by demonstrating the efficacy of NEAT in improving driving capabilities. Additionally, the study sheds light on the design and optimization of autonomous driving systems by exploring the impact of various parameters on performance. By simulating realistic driving scenarios and iteratively refining neural network architectures, this approach fosters the development of more competent and adaptable autonomous vehicles. The findings offer valuable guidance for researchers and practitioners seeking to enhance the reliability and efficiency of autonomous driving systems. Ultimately, the integration of NEAT with simulation-based training represents a promising avenue for advancing the state-of-the-art in autonomous vehicle technology. © 2024 IEEE.

关键词： Evolutionary algorithms

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international Symposium on Innovative and Interdisciplinary applications of Advanced technologies, IAT 2024

International Symposium on Innovative and Interdisciplinary ...

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international Symposium on Innovative and Interdisciplinary applications of Advanced technologies, IAT 2024

ISBN: (纸本)9783031716935

The proceedings contain 64 papers. The special focus in this conference is on Innovative and Interdisciplinary applications of Advanced technologies. The topics include: Enhanced Maturity-Strength Model for Predicting Concrete Compressive Strength;treatment and Disposal of Sludge at the Municipal Wastewater Treatment Plant of Sarajevo;bearing Resistance of Strip Foundations: Eurocode 7 and Eurocode 8 Guidelines;research on the Impact of Extreme Rainfall Events on Torrential Flow;effective Buckling Length Analysis in Steel Frame Columns: A Comprehensive Review and Novel Approaches;FEM modeling of Point-Supported Glass;cost Minimization of Water Distribution Systems Using simulation-Based Optimization;identification of Concrete Fracture Parameters Using Inverse Analysis;SAmpSONS Tool: Simulating Material Flows in the Sarajevo Sewer System for Investment Preassessment and Reconstruction;incorporation of Phase Change Materials in Straw-Based Composites: Thermal Characterization;heritage and Challenges of the Development of Official Cartography in the Federation of Bosnia and Herzegovina;improvement in Prediction Performance Using Predictive Error Compensated Neural Networks;enhancing Infrastructure Management: A Deep Dive into Mobile Laser Scanning and Point Cloud Classification;the Application of Aerial and Satellite Orthophotos in the Analysis of Land Conditions and Changes for the Needs of Spatial Planning at the Local Level;application of Augmented Reality in Geovisualization;Estimation of Solar Potential on Sarajevo’s Settlement Roofs Using GIS and Partial DSM;GIS-Supported Analysis of the Variation of Costs for Sewage Sludge Transport to Final Disposal Sites in Bosnia and Herzegovina (4 Case Studies);evaluation of the Physical Topographic Model of the Federation of Bosnia and Herzegovina;breast Cancer Diagnosis System.

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Multi-domain modeling and simulation of an Oximeter: PVT Variations Impact of Opto-electronic Devices on the SpO₂ Quantification 11

Multi-domain Modeling and Simulation of an Oximeter: PVT Var...

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11th international conference on simulation and modeling methodologies, technologies and applications (SIMULTECH)

作者： Li, Songlin Denoulet, Julien Tsiakaka, Olivier Feruglio, Sylvain Sorbonne Univ LIP6 CNRS UMR 7606 Paris France Univ Laval CERVO Laval PQ Canada Univ Laval Biomed Microsyst Lab Laval PQ Canada

ISBN: (纸本)9789897585289

Oxygen concentration quantification in the blood (SpO(2)) has been used as a mean to diagnose and prevent critical medical conditions thanks to pulse oximetry. In spite of its theoretical precision, this method suffers from intrinsic deviations from the components used in such monitoring devices (PVT) that can lead to SpO(2) measurement errors. In this paper, we propose a multi-domain modeling of a NIRS-based blood oxygen saturation monitoring system and its biological environment using SystemC(-AMS) for virtual prototyping, to analyze the impact of PVT variations of opto-electrical components, thanks to Monte- Carlo simulation correlated with transient analysis. We simulated the blood flow of the finger tissue and the dynamic attenuation of the red and infrared light passing through the tissue. The Monte-Carlo simulation method was used to analyze different PVT parameters that may cause measurement deviations separately. Finally, we found that the red/IR LED peak wavelength deviation and the temperature of the system have an important impact on the SpO(2) quantification, especially red LED peak wavelength deviation. This result shows that the choice of the red-light source is of prime importance for accurate SpO(2) quantification.

关键词： Heterogeneous System modeling Monte-Carlo simulation Multi-domain Near-Infrared Spectroscopy (NIRS) Oxygen Saturation (SpO(2)) PhotoPlethysmoGraphy (PPG) PVT (Process, Voltage, Temperature) SystemC(-AMS)

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Novel Method for the Three-Dimensional simulation of Mechanical Ageing of Battery Modules 11

Novel Method for the Three-Dimensional Simulation of Mechani...

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11th international conference on simulation and modeling methodologies, technologies and applications (SIMULTECH)

作者： Bozalp, Tolga Siddiqui, Muhammad Ammad Raza Opfer, Holger Vietor, Thomas Volkswagen AG Berlinger Ring 2 D-38440 Wolfsburg Germany Tech Univ Carolo Wilhelmina Braunschweig Inst Engn Design Hermann Blenk Str 42 D-38108 Braunschweig Germany

ISBN: (纸本)9789897585289

This study introduces a novel method for modelling the mechanical ageing behavior of battery modules over lifetime, based on a simplified, mathematical approach. The focus is placed on the force displacement behavior of battery modules due to the swelling of its cells in the course of electrochemical ageing. In the first step, the development of a proper modelling method is conducted, before the implementation of the single-domain model is carried out. Multiple size scales are included in this model, since cell and battery module level are considered. The model implementation is realized with two different approaches for examination of simulation trade-offs regarding accuracy and computing time. In the first approach, the module is modelled using the Finite-Element-Analysis (FEA) with a high number of elements. In an alternative, more simplified approach, the module model in form of a mathematical, analogous model is implemented with a significantly fewer number of elements. In both cases, the model layout is similar. Finally, both the approaches are validated with experimental measurements and compared regarding accuracy and computing time, amongst other parameter.

关键词： Battery Module simulation Mechanical Ageing Swelling Pouch Cell Cycle Life Multiscale simulation Lithium-ion

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modeling Visual Impairments with Artificial Neural Networks: a Review

Modeling Visual Impairments with Artificial Neural Networks:...

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IEEE/CVF international conference on Computer Vision (ICCV)

作者： Schiatti, Lucia Gori, Monica Schrimpf, Martin Cappagli, Giulia Morelli, Federica Signorini, Sabrina Katz, Boris Barbu, Andrei MIT CSAIL Cambridge MA 02139 USA MIT CBMM Cambridge MA 02139 USA Ist Italiano Tecnol UVIP Padua Italy Ecole Polytech Fed Lausanne NeuroX Inst Lausanne Switzerland IRCCS Mondino Fdn Pavia Italy Univ Pavia DBBS Pavia Italy

ISBN: (纸本)9798350307443

We present an approach to bridge the gap between the computational models of human vision and the clinical practice on visual impairments (VI). In a nutshell, we propose to connect advances in neuroscience and machine learning to study the impact of VI on key functional competencies and improve treatment strategies. We review related literature, with the goal of promoting the full exploitation of Artificial Neural Network (ANN) models in meeting the needs of visually impaired individuals and the operators working in the field of visual rehabilitation. We first summarize the existing types of visual issues, the key functional vision-related tasks, and the current methodologies used for the assessment of both. Second, we explore the ANNs best suitable to model visual issues and to predict their impact on functional vision-related tasks, at a behavioral (including performance and attention measures) and neural level. We provide guidelines to inform the future research about developing and deploying ANNs for clinical applications targeting individuals affected by VI.

关键词： Artificial Neural Networks Functional vision Neuro AI Visual Assistive technologies Visual impairments Visual rehabilitation

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Implementation of Microbot to Enhance the Well-being of People working in the Fire Hazards Industry

Implementation of Microbot to Enhance the Well-being of Peop...

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2024 IEEE international conference on modeling, simulation and Intelligent Computing, MoSICom 2024

作者： Kumar, Aleena Anil Subramanian, Ganesan Manipal Academy of Higher Education Dubai Campus Electrical & Electronics Engineering Department Dubai United Arab Emirates Symbiosis International University Dubai Department of Computer Studies Artificial Intelligence & Ml Dubai United Arab Emirates

ISBN: (纸本)9798331533311

People currently live in a difficult world due to the unpredictable hazards present in a particular area, the explosion in Lebanon, colorado's Cameron peak on fire, Wilfred, alpha and beta hurricanes, the madrid bombings, the Denmark power outrage, etc. The intelligent system must establish and take action to ensure the safety of the public at this point, and plan to accomplish there by introducing an advanced radar system that can be utilized as both a security system and the safest system possible. There are numerous instances where we can use it to protect people and to avoid even worse outcomes, as the ones mentioned above. This scientific study describes the many needs and applications for integrating the radar system with the explosion-proof camera and paga system. The major goal is to investigate a safe and secure security system that will protect medical facilities like hospitals as well as the system of highways and other transportation infrastructure. This ground-breaking security system idea was developed to fully eliminate human mistakes, provide a highly functional system, and increase the availability and efficiency of security systems. This would be possible by combining technologies like cctv, paga, and radar. It can be used for data analysis (transferred over to the cloud), image processing, detection, and protection, Additionally, the micrbot can be used to test the system and analyze the results. The tool, new equipment, and advanced safety purposes are introduced in this study. Whereas a radar system uses an explosion-proof ptz camera to take pictures and a public addressing and general alarm system to warn nearby residents to take safety precautions before something bad happens. © 2024 IEEE.

关键词： Fire hazards

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Towards the Formal modeling Methodology of WSN through the Transformation of SysML into DSPNs 11

Towards the Formal Modeling Methodology of WSN through the T...

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11th international conference on simulation and modeling methodologies, technologies and applications (SIMULTECH)

作者： Berrachedi, Amel Ioualalen, Malika Hammad, Ahmed Hassiba Benbouali Univ Chlef Fac Exact Sci & Informat Chlef Algeria USTHB Univ Dept Comp Sci MOVEP Lab Algiers Algeria Franche Comte Univ DISC Femto ST Dept Besancon France

ISBN: (纸本)9789897585289

When developing critical and complex systems, the requirement of the systems design verification is paramount. We address the problem of how to design these ones in order to satisfy their requirements. Wireless Sensor Networks (WSNs) are examples of such systems, which consist of a large amount of distributed and autonomous nodes. We aim to propose a Model-Based Systems Engineering specification and verification methodology for designing WSNs. The proposed approach uses SysML language to describe the WSNs requirements, behaviors and performance parameters. Then, it translates the SysML elements to a Deterministic Stochastic Petri Net (DSPNs) and integrates them into an analytic model. This allows designing WSNs and studying their behaviors and their performances, namely energy consumption. The current paper refines the first part of this project by transforming the activity diagram of SysML to a DSPN. To show the applicability of the mapping technique, a case study that presents a hierarchical WSN is used.

关键词： Model-based Systems Engineering Mapping SysML Activity Diagram Deterministic Stochastic Petri Nets

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