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

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Automatic spray shop monitoring system based on digital twin 4

Automatic spray shop monitoring system based on digital twin

引用

4th international conference on Internet of Things and Smart City, IoTSC 2024

作者： Ma, Hangxing Xu, Jiangmin School of Mechanical Engineering Jiangsu University of Science and Technology Zhenjiang212000 China Marine Equipment and Technology Institute Jiangsu University of Science and Technology Zhenjiang212000 China

ISBN: (纸本)9781510681767

A digital-based method was proposed to address challenges in large-scale segmented hull automated spraying workshops, such as the production of toxic gases and solid particles during operations, hindering real-time monitoring of spraying activities. The method focuses on the mismatch between site data and process system performance, leading to poor film quality. The intelligent monitoring method of twin technology establishes a system architecture for a digital twin five-dimensional model, exploring twin model establishment and data-driven technology. Specifically, a new digital twin modeling method for spray film thickness was studied and validated through experiment-simulation comparisons, showing high accuracy in restoring film thickness and uniformity. The system leverages the iterative nature of the spraying process to accumulate and process on-site data, allowing for iterative optimization of spraying process parameters to enhance efficiency and quality. © 2024 SPIE.

关键词： Film thickness Data modeling Mathematical modeling Associative arrays Coating 3D modeling computer simulations Mathematical optimization modeling Virtual reality

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Construction of Intelligent Financial Decision Support System Based on computer

Construction of Intelligent Financial Decision Support Syste...

引用

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

作者： Han, Bing School of Accounting Zhanjiang University of Science and Technology Zhanjiang524094 China West Guangdong Digital Intelligent Accounting Development Research Center Zhanjiang524094 China

ISBN: (纸本)9798350343724

In the Big Data Age, the company's financial management is confronted with a bigger challenge. In the face of the growing quantity of data, financial managers have difficulty providing the related information quickly and accurately. Therefore, it is very important to construct an intelligent financial decision-making system for enterprise finance management. computer intelligence financial decision support system (IFDSS) is used to solve financial decision problems in enterprises, to provide analysis, prediction and decision-making, and to extract and analyze financial information. The IFDSS can help the enterprises to make more efficient strategic decision-making, make more scientific and rational development target, and prevent risk better. This paper conducts in-depth research on the construction of intelligent financial decision support system, and puts forward some suggestions for the development of IFDSS. Experimental results indicate that the maximum working efficiency of this system is up to 92.9%. © 2023 IEEE.

关键词： Intelligent systems

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Use-Case- Dependent modeling Approach for computer simulation of Hybrid AC-DC Grids 5

Use-Case- Dependent Modeling Approach for Computer Simulatio...

引用

5th IEEE international conference on DC Microgrids, ICDCM 2023

作者： Lavery, Melanie Schwanninger, Raffael Marz, Martin Institute for Power Electronics Friedrich-Alexander-University Erlangen Germany

ISBN: (纸本)9798350321272

An analysis-use-case dependent modeling approach for the computer simulation of hybrid AC-DC grids employing component models with varying degrees of complexity is presented. Three different component model complexity levels for three different component functionality groups and three different use cases are defined. The component modeling is based on analytical averaged descriptions of the converter behavior and introduces a standardized model interface. The proposed merits of this approach are faster simulation times and easier result evaluation making this approach suitable for automated grid simulation and assisted layout evaluation. This makes a technical and economical design evaluation of AC- DC grids much more feasible. Furthermore, manufacturers of grid components could use this design approach to develop models with unified interface ports to be used in DC grid model component libraries. The optimization of computing time for different simulation run times is tested and presented using a simulation tool developed using this approach. © 2023 IEEE.

关键词： Rectifying circuits

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Promoting Safety, Security, Awareness and Productivity in Port Plants 5

Promoting Safety, Security, Awareness and Productivity in Po...

引用

5th international conference on Industry 4.0 and Smart Manufacturing (ISM)

作者： Bruzzone, Agostino G. Massei, Marina Sinelshichikov, Kirill De Paoli, Alberto Giovannetti, Antonio Longo, Francesco Fancello, Gianfranco Vairo, Tommaso Giliberti, Claudia Mariconte, Raffaele Univ Genoa Via Opera Pia 15 I-16145 Genoa Italy Simulat Team Via Magliotto 2 I-17100 Savona Italy Sim4Future Via Trento 43 I-16145 Genoa Italy Univ Calabria Simulat Team MSC LES Via Pietro Bucci I-87036 Arcavacata Di Rende Italy Univ Cagliari DICAAR Via Marengo 2 I-09121 Cagliari Italy INAIL DIT Piazzale Pastore 6 I-0144 Rome Italy

This paper focuses on the combined use of eXtended Reality and simulation to improve awareness and confidence in Container Terminal Operations by tailoring a simulation Systems. Experimentation is proposed as example of the benefits achievable by training virtually operators in this context. The complexity of Port Operations creates a quite dangerous environment where the highly competitive business sector push to increase speed of operations and flows. In additions Port Terminals involve many actors that have to work and interoperate within a multi domain environment, outdoor all around the clock along the year in an almost all-weather context. Ports are growing getting encapsulated within major city that over time turn to be megacities creating additional challenges especially in terms of Safety and Security that require to operate with high performance in a safe framework. The automation obviously is crucial to further increase operations, therefore up to know the human component is still quite critical for many ancillary activities as well as often on main and secondary ones due to the flexibility and reliability required. This aspect could suggest a big potential for Industry 4.0 and its future evolution in this field as well as a continuous struggling with the very conservative mentality of Shipping and Maritime Operations relying in Systems able to operate in the previous mentioned conditions. Indeed, Training and Education are crucial to face these challenges and make it possible to introduce new technologies, policies and approaches in the very strategic field of Port Activities. The authors propose an experimentation carried out to demonstrate the potential to move training and education on virtual interactive solutions based on MS2G paradigm (modeling, interoperable simulation and Serious Games) by tailoring a simulation System on specific criticalities (c) 2023 The Authors. Published by Elsevier B.V.

关键词： modeling & simulation IoT Serious Games Safety & Security Port operations

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FLARES: A Framework for Large-scale Agent-based Rapid Epidemic simulation 22

FLARES: A Framework for Large-scale Agent-based Rapid Epidem...

引用

22nd IEEE international conference on Industrial Informatics, INDIN 2024

作者： Peng, Ruoling Liu, Kang Yang, Po Department of Computer Science University of Sheffield Sheffield United Kingdom

ISBN: (纸本)9798331527471

Agent-based modeling (ABM) is a powerful simulation methodology employed to analyze complex systems by representing individual entities, known as agents, which interact autonomously within a defined set of rules. This approach is particularly effective for epidemic simulation, where capturing the nuanced interactions and behaviors of individuals is crucial for understanding disease dynamics and spread. However ABM often come with complected and slow implementation. To address the performance issue, in this paper, we introduce a Framework for Large-scale Agent-based Rapid Epidemic simulation (FLARES), a novel GPU-accelerated framework designed to enhance the performance of agent-based infectious disease transmission model. FLARES provides robust support for parallel execution, significantly reducing the overall time consumption for high computational cost tasks, enables researchers to conduct detailed and accurate epidemic analysis of disease spread. © 2024 IEEE.

关键词： Digital elevation model

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Non Linear Homogenization of Laminate Magnetic Material by Computing Equivalent Magnetic Reluctivity 14

Non Linear Homogenization of Laminate Magnetic Material by C...

引用

19th international conference on Software Technologies, ICSOFT 2024

作者： Yousfi, Ghania Mohellebi, Hassane Electrotechnics Department Faculty of Electrical Engineering and Computer Science Mouloud Mammeri University Tizi-Ouzou Algeria

ISBN: (纸本)9789897587061

In the present study we present a numerical modeling of a laminate magnetic material using an homogenization technique which exploit an inverse problem resolution. The laminate magnetic material is consisting of an alternate of magnetic and insulates layers. The equivalent magnetic reluctivity is computed for the homogenized domain by considering a non linear behavior of the magnetic layers. A finite element method is used to solve the 2D non-linear electromagnetic partial differential equation. An optimization problem is constructed and solved with the association of the 2D finite element resolution and a conjugate bi-gradient algorithm. The computation of the equivalent magnetic reluctivity is then performed for different excitation field value according to B-H curve. The comparison of the obtained B-H curves of the laminate and the homogenized domains to the theoretical B-H curve (experimental data) show a good agreement of laminate results. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Inverse problems

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DeletePop: A DLT Execution Time Predictor Based on Comprehensive modeling 1

引用

23rd international conference on Algorithms and Architectures for Parallel Processing (ICA3PP)

作者： He, Yongzhe Zhou, Yueyuan Shao, En Tan, Guangming Sun, Ninghui Chinese Acad Sci Inst Comp Technol State Key Lab Processors Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Nanjing Inst InforSuperBahn Nanjing 211100 Peoples R China

ISBN: (数字)9789819708628

ISBN: (纸本)9789819708611;9789819708628

The modeling and simulation of Deep Learning Training (DLT) are challenging problems. Due to the intricate parallel patterns, existing modelings and simulations do not consider enough factors that influence the training, which brings inaccuracy for the prediction of DLT time. To address these rising challenges, we propose DeletePop, a Deep Learning Training Execution time Predictor based on comprehensive modeling at the Operator level. It systematically abstracts the process of DLT by dividing it into computation, memory access, and communication three parts. DeletePop could predict the Job Execution Time (JET) according to the operator dataset obtained from the homogeneous network. Finally, we integrate the DeletePop into a Job Scheduling Simulator (JSS) DLTSim to make support more efficient scheduling. Although the implementation of DeletePop is based on the TensorFlow framework, the theoretical model could adapt to any other frameworks that use static graphs. DeletePop achieves up to 90% accuracy for Homogeneous Networks, and we also provide the theoretical manners to add support for Heterogeneous Networks.

关键词： Deep Learning Training Job Execution Time modeling and simulation Job Scheduling Simulator

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modeling and simulation of two-dimensional cutting problem

Modeling and simulation of two-dimensional cutting problem

引用

2023 international conference on computer Application and Information Security, ICCAIS 2023

作者： Zhu, Siru He, Jian Song, Shuling Department of Basic Courses Air Force Early Warning Academy Hubei Wuhan430019 China

ISBN: (纸本)9781510675032

Aiming at the optimization design of steel cutting, which needs to meet different types of orders and quantity requirements, in order to minimize the number of raw materials used, maximize order fulfillment, reduce the number of tool changes and small machines cutting times, the cutting optimization problem is transformed into the optimal design of the scheme when the raw materials are cut sequentially. First of all, this paper sorts the raw material area and order area, at the same time, the matching dictionary set with the largest rate is established. Secondly, the same type of order is arranged as much as possible, thus reducing the number of knife changes and small machines cutting numbers. Then, the multi-objective optimization model is established. In the simulation stage, through the design of feasible algorithms and programming to achieve an optimal solution, finally, get a good cutting plan, it provides a useful reference for practical application. © 2024 SPIE.

关键词： Optimal systems

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Packet switching networks simulation 3

Packet switching networks simulation

引用

3rd international conference on Optics, computer Applications, and Materials Science, CMSD 2023

作者： Vasin, Nikolay N. Kochetova, Alyona O. Zolkin, Alexander L. Fakhertdinova, Dinara I. Bogdanov, Mikhail R. Samara443066 Russia Povolzhskiy State University of Telecommunications and Informatics Samara443010 Russia Federal University Kazan420008 Russia Kazan420081 Russia Moscow Polytechnic University 38 Bolshaya Semenovskaya Street Moscow107023 Russia

ISBN: (纸本)9781510674486

Training to initial device configuration and use of Packet Tracer network simulation software are reviewed in the article. The various types of router and switch interfaces are described and the main methods of accessing network devices through the console port are shown. The authors emphasize that knowledge of initial device configuration and packet switching network modeling is essential for information technology professionals. Use of Packet Tracer allows to master own skills in networks creation, check the correctness of settings and determine the causes of possible problems in the network. The authors recommend to use the Packet Tracer software for training and practicing skills in setting up and configuring the devices in packet switching networks. © 2024 SPIE. All rights reserved.

关键词： Data transfer

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A Unified Framework for Dangerous Situation Detection by Integrating Weapon Detection and Distressed Face Analysis

A Unified Framework for Dangerous Situation Detection by Int...

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

作者： Narayanan, Swathi Jamjala Perumal, Boominathan Mandal, Siddarth Mohandas, Gayathri Jain, Naman Vellore Institute of Technology School of Computer Science and Engineering Tamil Nadu Vellore India

ISBN: (纸本)9798331533311

The escalating prevalence of violent threats necessitates proactive security measures to safeguard human life. Within the realm of artificial intelligence (AI), computer vision has emerged as a pivotal tool, leveraging sophisticated algorithms to substantially alleviate the burden on human resources. In this research work, we propose a novel approach for dangerous situation detection that combines object detection and facial emotion recognition. This work includes detecting guns, knives, blood, alcohol, insulting gestures, and cigarettes as these are considered as items that are commonly associated with potential threats or dangerous situations in various contexts, such as crime scenes, conflict zones, or public safety scenarios. To achieve this, the harmful object detection model employs YOLOv8, which has been successful based on the mAP metric. The proposed work also incorporates a CNN model that relies on facial emotions for indicators of distress, fear, or discomfort, enabling the system to identify potential threats even in scenarios devoid of harmful objects. The results obtained demonstrate YOLOv8's superiority over a two-stage detector, and the Facial Expression Recognition (FER) CNN achieves 7 9% test accuracy and 8 4% validation accuracy. The unified framework enhances environmental threat detection, contributing to effective risk mitigation. © 2024 IEEE.

关键词： Emotion Recognition

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