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Development of a simulation Environment for Automated Model Configuration for the Design and Validation of AI-based Driving Functions 11

Development of a Simulation Environment for Automated Model ...

引用

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

作者： Yarom, Or Aviv Liu-Henke, Xiaobo Ostfalia Univ Appl Sci Salzdahulmer Str 46-48 D-38302 Wolfenbuettel Germany

ISBN: (纸本)9789897585289

The further development of autonomous driving requires the increased use of innovative and intelligent algorithms. In order to develop these effectively and efficiently, suitable development methods and tools are required. Therefore, this paper presents the development of a simulation environment for automated model configuration for the design and validation of AI-based driving functions. Based on the current state of the art, the conception including requirement definition and realization of the simulation environment are described in detail. In addition, the simulation environment is validated in an application for automated vehicle guidance with Artificial Neural Networks.

关键词： Autonomous Driving Artificial Neural Networks Matlab Simulink Deep Learning Toolbox

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Production Analysis for Corrugated Box Manufacturing: simulation Study in Delhi-NCR 8th

Production Analysis for Corrugated Box Manufacturing: Simula...

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8th international conference on Inventive Communication and Computational technologies, ICICCT 2024

作者： Soni, Umang Sakhuja, Sumit Soni, Ashu Netaji Subhas University of Technology New Delhi India Chitkara University Chandigarh New Delhi India Bharati Vidyapeeth College of Engineering New Delhi India

ISBN: (纸本)9789819777099

simulation of real-world operations is a critical prerequisite to strategy and decision-making. The modeling and simulation of such real-world processes are imitated using agents. Their time-varying analysis and applications have been discussed in the research work. A significant reduction of problems in the form of fundamental elements plays a key role in the design and modeling of most real-world processes. Manufacturing simulation can be represented using a process modeling approach, which can help approximate a process as a function that displays certain real-world properties of the process over time. The present work first discusses how a process can be modeled using a server and a queue, by creating input through the generation of entities. Using a similar methodology, a discrete event simulation of a cardboard printing factory situated in Delhi-NCR (India) has been demonstrated. Authors observed utilization statistics, the number of entities departed, the average waiting time of goods and the number of entities pending by introducing changes in the manufacturing capacity as part of the experiment. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Smart manufacturing

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Evolution of BPMN and simulation Integration: Trends, Challenges, and Future Directions 6

Evolution of BPMN and Simulation Integration: Trends, Challe...

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6th international conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Cimino, Antonio Filice, Anna Chiara Longo, Francesco Mirabelli, Giovanni Solina, Vittorio Mallek-Daclin, Sihem Daclin, Nicolas Zacharewicz, Gregory Department of Innovation Engineering University of Salento LE Lecce Italy Department of Mechanical Energy and Management Engineering University of Calabria CS Rende Italy Laboratory for the Sciences of Risks IMT - Mines Ales LSR Lab Alès France

This study examines the use of simulation tools to overcome limitations in Business Process Model and Notation (BPMN), a widely used language for modeling business processes across various industries. Conducting a structured bibliometric analysis with Scopus as the primary database, the study reviewed 75 articles meeting specific inclusion criteria, highlighting key trends in BPMN simulation research. Using keyword and thematic analysis through VOS viewer, four primary research clusters were identified, illustrating BPMN's applications in field s such as healthcare, logistics, and cybersecurity. An analysis of pivotal articles demonstrates how BPMN simulations have improved resource management, performance optimization, and decision-making support. This paper shows current research directions, challenges, and the potential for BPMN extensions to increase modeling accuracy, suggesting avenues for future research within BPMN-supported simulation frameworks. © 2024 The Authors. Published by Elsevier B.V.

关键词： modeling languages

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applications Research of Deep Learning in Super-Resolution Reconstruction of Medical Image

Applications Research of Deep Learning in Super-Resolution R...

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2023 international conference on Computer simulation and modeling, Information Security, CSMIS 2023

作者： Xu, Xu School of Information Science and Engineering Xinjiang University Urumqi China

ISBN: (数字)9798350343724

ISBN: (纸本)9798350343724

This study delves into the innovative domain of applying deep learning techniques to enhance the resolution of medical images, contributing to more precise clinical diagnoses and informed decision-making. In modern healthcare, medical imaging plays a pivotal role by providing insights into internal anatomical structures. The demand for high-quality images has grown with advancing technology, aiding accurate disease detection and treatment planning. However, inherent limitations such as hardware constraints and radiation exposure often hinder achieving high spatial resolution. To overcome these challenges, this research explores a novel approach by harnessing deep learning's capabilities for medical image super-resolution reconstruction. This investigation aims to bridge the gap between limited image quality and the potential for enhanced resolution through the application of deep learning methodologies. By leveraging convolutional neural networks and sophisticated training strategies, this study seeks to generate high-resolution medical images from their lower-resolution counterparts. The results are expected to significantly enhance image quality, benefiting both clinicians and patients. © 2023 IEEE.

关键词： Image quality

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Modified Dynamic modeling of Three-Phase Induction Motor in ABC Reference Frame 1

Modified Dynamic Modeling of Three-Phase Induction Motor in ...

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1st international conference on Innovative Sustainable technologies for Energy, Mechatronics and Smart Systems, ISTEMS 2024

作者： Duvvuri, S.S.S.R. Sarathbabu Malladi, Srikanth Varma, Sagiraju Dileep Kumar Narasimharaju, V.S.N. Pranathi, Bommaraju Sai Bhavana, Vanapalli Bhimavaram Department of Electrical and Electronics Engineering Bhimavaram534202 India

ISBN: (纸本)9798350384246

This paper presents a novel approach to dynamically modeling three-phase induction motors within the ABC reference frame. Induction motors are prevalent in various industrial applications, necessitating accurate models for effective control and optimization. Conventional modeling techniques often overlook key electrical and mechanical dynamics, leading to suboptimal control performance. The proposed model integrates additional elements such as rotor flux dynamics, stator and rotor resistance variations, and saturation effects into the dynamic framework. Utilizing the ABC reference frame aligns the model closely with the motor's physical structure, enhancing fidelity and predictive capabilities. Furthermore, the model accommodates non-linearities and parameter variations inherent in real-world scenarios. This manuscript's primary goal is to offer an induction motor model in the ABC reference frame. With the suggested model, a thorough examination of a three-phase induction motor can be assessed. Utilizing MATLAB R2024a software, analytical analysis and simulation studies will be conducted. The suggested model can be used to test fault diagnostic algorithms for induction machine faults. © 2024 IEEE.

关键词： Induction motors

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Mathematical modeling and simulation of Composite Wireless Channels for QAM-Based Image Transmission and Datasets Generation 4

Mathematical Modeling and Simulation of Composite Wireless C...

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4th international conference on Applied Mathematics, modeling and Computer simulation, AMMCS 2024

作者： Olasina, J.R. Aliu, O.H. Department of Computer Engineering Federal Polytechnic Ilaro Ogun State Nigeria ASPMIRE Lab Covenant University Ogun State Ota Nigeria

ISBN: (纸本)9781643685519

The advances towards 5G and 6G technologies in modern wireless communication systems have increased the demand for strong transmission and reception of signals over fading channels. The work provided in the contributions herein covers simulating a composite fading channel that incorporates the Rician and Rayleigh models into the AWGN noise and transmitting images modulated under the scheme of various QAMs including 16-, 64-, 1024and 4096-QAM at different SNR values. The aim is to generate modulation I/Q signals datasets suitable for deep learning applications, in particular, Automatic Modulation Classification using Convolutional Neural Networks. These datasets represent real-world wireless environments, modeling 4G to 6G technologies. Applying some preprocessing techniques and CNN models, in particular ResNet50 and LeNet, for classification of these modulation schemes yielded promising results for cognitive radio and spectrum management. It indicates that the most important role of CNN-based AMC is in enhancing the spectrum efficiency of wireless communication systems. © 2024 The Authors.

关键词： Quadrature amplitude modulation

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Design and Implementation of a Multi-core CPU-based System simulation Software for Automotive

Design and Implementation of a Multi-core CPU-based System S...

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2023 international conference on Advances in Artificial Intelligence and applications, AAIA 2023

作者： Zhang, Congcong Xu, Cheng He, Shaoqing Department of NEV Research Automotive Data of China Co. Ltd Tianjin China

ISBN: (纸本)9798400708268

With the rapid development of domestic industrial digital twin technology and system research and development technology, complex system-level simulation plays an increasingly important role in production, especially in the automotive industry. The research based on automotive industry system simulation software has been carried out, and a design scheme for automotive industry system simulation software based on multi-core CPUs has been proposed, providing an integrated simulation design scheme of modeling simulation analysis optimization selection design, it helps to shorten the product design cycle and reduce the trial and error cost of product design. The scheme encompasses five modules, resulting in an integrated simulation general software scheme that covers modeling, simulation, analysis, optimization, and design. By utilizing computer multi-core CPU technology, the proposed scheme enables multi-process parallel simulation on a microcomputer, leading to significantly improved simulation efficiency. This advancement has made a valuable contribution to the healthy development of the industrial modeling field within the automotive industry. © 2023 Copyright held by the owner/author(s).

关键词： Automotive industry

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Neuromorphic Computing and AI-Enhanced modeling of Time Series Counts for Real-Life Data Analysis 23th

Neuromorphic Computing and AI-Enhanced Modeling of Time Seri...

引用

23rd international conference on Intelligent Systems Design and applications, ISDA 2023

作者： Shukla, Rishi Prakash Kumar, Divya Chandigarh University Chennai India

ISBN: (纸本)9783031648496

Time series of counts find extensive applications in various domains such as public health, finance, trade volumes, and environmental monitoring. Dealing with dispersion in these count-based time series is crucial for effective modeling and prediction. In this context, we propose a novel approach using a flexible first-order integer-valued non-stationary autoregressive (INAR(1)) process with innovation terms following a Conway-Maxwell Poisson distribution (COM-Poisson). This INAR(1) COM-Poisson process accommodates time-varying covariates and provides a versatile framework for modeling different forms of dispersion. We explore various methods for estimating the model’s unknown parameters, including likelihood, quasi-likelihood, and Bayesian approaches. Through simulation tests and the application of the INAR(1) COM-Poisson model to real-world data from India, we evaluate the performance of different estimation methodologies. Our results indicate that the Generalized Quasi-Likelihood (GQL) methodology yields less biased estimates compared to previous approaches. Additionally, we analyze the model’s autocorrelation structure while considering time-varying covariates. These findings have far-reaching implications for decision-making and policy development in fields like public health, finance, and environmental management, and offer valuable insights for modeling time series of counts in various domains. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Time series

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Reduced Order modeling for Thermal Problems with Temperature-dependent Conductivities using Matrix Interpolation 11

Reduced Order Modeling for Thermal Problems with Temperature...

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

作者： Paffrath, Meinhard Siemens AG SDT MSO DE CT RDA Otto Hahn Ring 4-6 D-81739 Munich Germany

ISBN: (纸本)9789897585289

In this paper model order reduction of thermal problems with temperature dependent material parameters is considered. It is assumed that the full thermal problem is set up by a commercial solver where the user has only limited access to internal datastructures. For the full problem an approximation based on matrix interpolation is proposed which is applicable to commercial solvers like Simcenter Thermal Flow where system matrices can be extracted for given temperature fields. Model order reduction for the approximated problem is achieved by POD and DEIM.

关键词： Model Order Reduction Dynamical Systems Interpolation Nonlinear Heat Conduction

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TEdit: A Distributed Tetrahedral Mesh Editor with Immediate simulation Feedback 11

TEdit: A Distributed Tetrahedral Mesh Editor with Immediate ...

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

作者： Stroeter, D. Krispel, U. Mueller-Roemer, J. Fellner, D. Tech Univ Darmstadt Interact Graph Syst Grp Darmstadt Germany Fraunhofer Austria Res GmbH Vienna Austria Graz Univ Technol Inst Comp Graph & Knowledge Visualizat Graz Austria Fraunhofer IGD Darmstadt Germany

ISBN: (纸本)9789897585289

The cycle of computer aided design and verification via physics simulation is often burdened by the use of separate tools for modeling and simulation, which requires conversion between formats, e.g. meshing for finite element simulation. This separation is often unavoidable because the tools contain specific domain knowledge which is mandatory for the task, for example a specific CAD modeling suite. We propose a distributed application that allows interactive modification of tetrahedral meshes, derived from existing CAD models. It provides immediate simulation feedback by offloading resource-intensive tasks onto multiple machines thereby enabling fast design cycles for individualized versions of mass-produced parts.

关键词： Computer Aided Design simulation Environments Client Server Architectures Massively Parallel and High-performance simulations

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