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Introduction to the Minitrack "simulation modeling and Digital Twins for Decision Making in the Age of Industry 4.0" 58

Introduction to the Minitrack "Simulation Modeling and Digit...

引用

58th Hawaii international conference on System Sciences, HICSS 2025

作者： Reggelin, Tobias Strassburger, Steffen Galka, Stefan Lang, Sebastian Otto von Guericke University Magdeburg Germany Technical University Ilmenau Germany Regensburg University of Applied Sciences Germany

ISBN: (纸本)9780998133188

The minitrack contains contributions with a focus on simulation modeling and digital twins and decision making in the context of Industry 4.0. The use of simulation models and digital twins is manifold, from planning to virtual commission and real-time operational decision support. Cyber-physical systems integrate the real world and the virtual world to enable decision making in the age of Industry 4.0. For example, customer decisions and supply disruptions which directly influence manufacturing and logistics systems require immediate decisions. Thus, models must have the capability to support decision making in manufacturing as well as in internal and external logistics in real-time. Methods include discrete-event simulation, discrete-rate simulation, hybrid simulation, system dynamics simulation, the combination of simulation modeling with machine learning or optimization heuristics, prescriptive analytics, and adaptive systems. Furthermore, this minitrack addresses simulation education and simulation models and digital twins used for education and training in manufacturing and logistics. In the following, we provide a short overview of the submitted and accepted papers of this minitrack. © 2025 IEEE computer Society. All rights reserved.

关键词： Industry 4.0

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Comparative Analysis of Various Machine Learning Approaches to Predict Postoperative Mortality in Patients Undergoing Aortic Valve Replacement for Severe Aortic Stenosis

Comparative Analysis of Various Machine Learning Approaches ...

引用

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

作者： Garg, Harsh Gupta, Anubhav Khatri, Radhika Ahmed, Sanober Sarfaraz Sood, Neeru Birla Institute of Technology and Science Department of Computer Science Pilani Dubai Campus United Arab Emirates University of Waterloo School of Computer Science Waterloo Canada Birla Institute of Technology and Science Pilani Department of Biotechnology Dubai Campus United Arab Emirates Institute of Technology and Science Pilani Department of Biotechnology Birla Dubai Campus United Arab Emirates

ISBN: (纸本)9798331533311

Severe Aortic Stenosis (AS) is a life-threatening condition that progressively worsens with age and lifestyle factors, mainly affecting the elderly. In most cases, surgical intervention is required, followed by vigilant postoperative monitoring to ensure patient survival. This paper evaluates the predictive performance of eight machine learning algorithms in forecasting postoperative all-cause mortality in AS patients using two approaches: no resampling and resampling with the Synthetic Minority Oversampling Technique (SMOTE) combined with Tomek Link removal. The predictive analysis incorporates two key cardiovascular biomarkers: hsTnT and NT-proBNP. Eight state-of-the-art machine learning algorithms, including Logistic Regression, Support Vector Classifier, k-nearest Neighbors, Decision Tree, Gaussian Naive Bayes, Random Forest, AdaBoost and Gradient Boosting, were evaluated for their predictive performance. Results show that AdaBoost and Gradient Boosting trained on resampled data outperformed others, achieving an accuracy of 0.78. The findings indicate the potential application of machine learning techniques in enhancing diagnostic and prognostic abilities for cardiovascular diseases as larger and more diverse datasets become available. © 2024 IEEE.

关键词： Nearest neighbor search

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A Greenfield Analysis for Supply Chains Enhanced with Agent-Based simulation 6th

A Greenfield Analysis for Supply Chains Enhanced with Agent-...

引用

6th EAI international conference on computer Science and Engineering on Digital Transformation in Organizations: New Challenges, COMPSE 2022

作者： García-Roa, Eduardo Marmolejo-Saucedo, José Antonio Martínez, Ana Paula Elizarrarás, Fernando Universidad Panamericana Facultad de Ingeniería Mexico City Mexico Facultad de Ingenieria Universidad Nacional Autonoma de Mexico Mexico City Mexico

ISBN: (纸本)9783031347498

This chapter presents a strategy to improve the greenfield analysis of a supply chain. The proposed strategy is based on a multiparadigm simulation model that uses discrete event simulation and agent-based simulation for vehicles used in freight transport. The modeling was carried out using Anylogic software, which is the only software that allows the integration of different simulation methods in the same project. A hypothetical case study was developed to implement the strategy. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Supply chains

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BOUND BLOCK ELIMINATION ALGORITHM FOR ACCURATE VISIBILITY COMPUTATION IN POINT CLOUD ANALYSIS 38

BOUND BLOCK ELIMINATION ALGORITHM FOR ACCURATE VISIBILITY CO...

引用

38th ECMS international conference on Modelling and simulation, ECMS 2024

作者： Widlak, Adrian Ozimek, Pawel Labedz, Piotr Orlof, Jerzy Faculty of Computer Science and Telecommunications Cracow University of Technology Poland

Visual representations of viewshed analysis play a crucial role in urban planning, environmental conservation, and defense strategies by visually assessing impacts and guiding planning decisions. The simulation and modeling of environmental changes necessitate processing extensive datasets, including satellite photos, panoramic images, and point clouds generated from LiDAR scans. In response to these demands, the authors propose an approach tailored to address visibility challenges in environments with highly detailed and extensive point sets. The presented method identifies visible and occluded areas from a predetermined set of viewpoints, departing from previous approaches reliant on orthogonal maps. The proposed solution is evaluated by comparing the results obtained from a TIN (Triangulated Irregular Network) surface, a traditional ray-tracing approach, and a viewshed obtained from the Digital Elevation Model (DEM). Additionally, the authors present a simulation by overlaying the obtained results with real landscape photographs, modeling the accurate visibility determination in the point cloud analysis process. ©ECMS Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev (Editors) 2024.

关键词： Visibility

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Enhanced Medical Image Authentication and Precise Tamper Localization Using Discrete Cosine Stockwell Transform

Enhanced Medical Image Authentication and Precise Tamper Loc...

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

作者： Bouarroudj, Riadh Harrou, Fouzi Zerrouki, Nabil Souami, Feryel Bellala, Fatma Zohra Sun, Ying University of Science and Technology Houari Boumedienne Department of Computer Science Algiers Algeria King Abdullah University of Science and Technology Cemse Division Thuwal Saudi Arabia DI2M Laboratory Center for Development of Advanced Technology Algiers Algeria University of Algiers Benyoucef Benkhedda Department of Computer Science Algiers Algeria

ISBN: (纸本)9798331533311

Advancements in communication have boosted digital image sharing but also heightened security risks due to easy manipulation. Therefore, authentication techniques are crucial for securing medical images. This paper proposes a fully blind fragile watermarking model for color and grayscale medical image authentication and accurate tamper localization. The watermark is initially derived from the host image using the Discrete Wavelet Transform (DWT) and encrypted by a Logistic map-based technique to enhance the model's security. The image is then divided into 4 × 4 blocks, and the Discrete Cosine Stockwell Transform (DCST) is performed on each block. Afterward, QR decomposition is performed on each frequency subband, and the watermark is inserted within the R matrices. Experimental results across various types of medical images indicate that the proposed technique provides high watermarked image quality with a Peak Signal to Noise Ratio (PSNR) exceeding 51dB while maintaining good embedding capacity and high sensitivity to attacks. Furthermore, the scheme achieves a highly accurate tamper localization, detecting tampering rates as low as 0.01% of the image size, which surpasses the accuracy achieved by other models in the literature. © 2024 IEEE.

关键词： Medical imaging

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Surrogate simulation of Subject-Specific Lateral Pinch via Deep Learning 46

Surrogate Simulation of Subject-Specific Lateral Pinch via D...

引用

46th Annual international conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Lindbeck, Erica M. Diaz, Maximillian T. Nichols, Jennifer A. Harley, Joel B. University of Florida Department of Electrical and Computer Engineering GainesvilleFL United States University of Florida J. Crayton Pruitt Family Department of Biomedical Engineering GainesvilleFL United States

ISBN: (纸本)9798350371499

Musculoskeletal modeling and simulation is often a lengthy and computationally expensive process, particularly when developing and using personalized models. We present a deep learning-based adaptive surrogate model for lateral pinch, which accepts both musculoskeletal parameters and muscle activations as input for personalization and simulation. This model matches traditional OpenSim forward dynamics with an average root-mean-squared error (RMSE) of 2.27 N, within standard errors of experimental measurements, while demonstrating sensitivity to both categories of input and performing thousand of simulations in seconds (10-1000x faster than traditional multi-body simulations). In addition to direct use as a surrogate, the differentiable nature of the model may support future use in optimization problems, while its flexibility may support adaptation to modeling of experimental data. © 2024 IEEE.

关键词： Adversarial machine learning

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Transparent Object Detection with simulation Heatmap Guidance and Context Spatial Attention 29th

Transparent Object Detection with Simulation Heatmap Guidanc...

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29th international conference on MultiMedia modeling (MMM)

作者： Chen, Shuo Li, Di Ju, Bobo Jiang, Linhua Zhao, Dongfang Fudan Univ Acad Engn & Technol Shanghai Peoples R China Henan Univ Sci & Technol CIE Luoyang Peoples R China Univ Nevada Dept CSE Reno NV 89557 USA

ISBN: (纸本)9783031278174;9783031278181

The texture scarcity properties make transparent object localization a challenging task in the computer vision community. This paper addresses this task in two aspects. (i) Additional guidance cues: we propose a simulation Heatmap Guidance (SHG) to improve the localization ability of the model. Concretely, the target's extreme points and inference centroids are used to generate simulation heatmaps to offer additional position guides. A high recall is rewarded even in extreme cases. (ii) Enhanced attention: we propose a Context Spatial Attention (CSA) combined with a unique backbone to build dependencies between feature points and to boost multi-scale attention fusion. CSA is a lightweight module and brings apparent perceptual gain. Experiments show that our method achieves more accurate detection for cluttered transparent objects in various scenarios and background settings, out-performing the existing methods.

关键词： Transparent Object Detection simulation Heatmap Guidance Context Spatial Attention

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Design of simulation and Evaluation System for Safety Operation in High Energy Radiation Scene Based on SysML 6

Design of Simulation and Evaluation System for Safety Operat...

引用

6th international conference on Electronic Engineering and Informatics, EEI 2024

作者： Wu, Huai An, Baoran Huang, Weijian Zhang, Xuedong Zeng, Sifeng Institute of Computer Application China Academy of Engineering Physics Mianyang China

ISBN: (纸本)9798350353594

With the emergence and wide application of new energy sources and technologies, various high-energy radiation devices have become indispensable core facilities and play an important role. At present, there are not only a large number of high-energy radiation devices in service, but also many have been or will enter the decommissioning stage. Aiming at the uncertainty and fuzziness of the traditional safety evaluation methods in the maintenance and decommissioning of high-energy radiation equipment, this paper designs the algorithms of task allocation, path planning and safety ergonomics evaluation for high-energy radiation equipment. Based on the system modeling language, the rationality of the system control flow is verified, and a simulation evaluation system for high-energy radiation equipment is developed to realize the comprehensive evaluation of safety operation schemes. © 2024 IEEE.

关键词： Decommissioning (nuclear reactors)

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Managing Cloud Networks: A Classification of SDN-Enabled Clouds 5

Managing Cloud Networks: A Classification of SDN-Enabled Clo...

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5th IEEE international conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Singh, Vaishali Kehkeshan Jallal, S. Das, Sunanda Maharishi University of Information Technology Maharishi School of Engineering & Technology Uttar Pradesh India Presidency University Department of Electronics and Communication Engineering Karnataka Bangalore India Faculty of Engineering and Technology Department of Computer Science Engineering Karnataka Bangalore India

ISBN: (纸本)9798350383522

The idea of separating the management plane from the data-forwarding gear was first introduced by Software-Defined Networking (SDN), which has brought about a revolutionary new age in networking. This innovation makes networks programmable, flexible, and dynamically reconfigurable. These characteristics have great potential for the field of computer science in the cloud, where dynamic adjustments and reconfiguration are essential owing to on-demand consumption patterns. The many simulation and empirical assessment techniques that have been created expressly for SDN-enabled cloud settings are also highlighted by us. Finally, study conducted perform a critical review of the state of the research, highlighting gaps and suggesting possibilities for further study. © 2024 IEEE.

关键词： application framework cloud computing hardware resources programmable controller resource provisioning simulation and energy modeling Software-Defined Networking (SDN)

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Proposal of high attenuating external magnetic field chamber for biological experiments 25

Proposal of high attenuating external magnetic field chamber...

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25th international conference on Computational Problems of Electrical Engineering (CPEE)

作者： Bajtos, Marek Cichorowski, Robert Radil, Roman Janousek, Ladislav Silesian Tech Univ Fac Elect Engn & Informat Technol Dept Electromagnet & Biomed Engn Zilina Slovakia Silesian Tech Univ Fac Automat Control Elect & Comp Sci Gliwice Poland

ISBN: (纸本)9798331506643;9798331506650

This work presents the design, construction, and validation of a chamber for magnetic field attenuation. Needs of magnetic background controlling during experiments focused on behavior of biological samples exposed to various levels of the low frequency time-varying magnetic field set the motivation for this work. The solution is proposed with regard to the correct cultivation conditions of microbiological samples. The chosen methodology is established on the means of numerical modeling and simulations, as well as 3D printing techniques. The design process incorporates computer-aided design (CAD) software for the chamber proposal, subsequent printing via a 3D printer, followed by the construction of an attenuating chamber using mu-metal foil. The validation process involves measurements of magnetic flux density within the chamber, and comparison thereof with numerical simulations performed via CST Design Studio. All the solution steps resulted in a valid and effective magnetic field attenuation chamber, suitable for use in laboratory conditions.

关键词： Bioelectromagnetism low-frequency magnetic field numerical modeling and simulation 3D printing

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