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Digital Twin modeling for Machine Vision Testing in Autonomous Systems 10th

Digital Twin Modeling for Machine Vision Testing in Autonomo...

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10th international conference on Modelling and simulation for Autonomous Systems

作者： Bruzzone, Agostino G. Massei, Marina Gotelli, Marco Ferrari, Roberto De Paoli, Alberto Giovannetti, Antonio Nguyen, Van Phuc Genoa Univ DIME Via Opera Pia 15 I-16145 Genoa Italy Simulat Team Via Cadorna 2 I-17100 Savona Italy SIM4Future Via Trento 34 I-16145 Genoa Italy Brno Univ Technol Antoninska 548-1 Brno 60190 Czech Republic

ISBN: (纸本)9783031713965;9783031713972

The advent of autonomous systems has deeply impacted a myriad of industrial processes. While these systems promise unparalleled gains in productivity and efficiency, their coexistence with human operators presents distinct challenges. Consider, for instance, autonomous vehicles in industrial zones. These vehicles, decked with an array of sensors, hold tremendous potential for enhancing operations. However, seamlessly integrating and optimizing sensors, such as LIDAR and video cameras with machine vision, is not without its complexities. This piece underscores the indispensable role of simulation in the iterative development and assessment of sensor amalgamations for these autonomous vehicles. Particularly in industrial landscapes, marked by pervasive dust, noise, and the omnipresence of human operators, ensuring safe navigation becomes paramount. simulation stands out as the linchpin in this endeavor, facilitating the recreation of authentic environments. Such virtual settings allow for exhaustive evaluations of how these sensor combinations fare across various challenging conditions. A pivotal element in this matrix is sensor fusion, essential for detecting obstacles. With the boon of simulations, this fusion undergoes rigorous validation and fine-tuning, thereby amplifying the system's overall efficacy. By leveraging the might of simulation, developers are poised to systematically fine-tune sensor amalgamations. This not only propels the evolution of autonomous vehicles in industrial contexts but also charts the course for their safer and more reliable integration. This paper champions a dual strategy: Intensive testing in synthetic simulation environments combined with real-world validations to pave the way for the birth of superior, trustworthy autonomous systems that can coexist seamlessly and safely within our industrial landscapes.

关键词： Autonomous Systems Machine Vision modeling & simulation

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Flood Inundation Range Prediction Method Based on SRR-Informer 13th

Flood Inundation Range Prediction Method Based on SRR-Inform...

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13th international conference on AI and Multimodal Services, AIMS 2024, Held as Part of the Services conference Federation, SCF 2024

作者： Liu, Han Chen, Zhihao Sun, Qi College of Computer Science and Software Engineering Hohai University Nanjing China

ISBN: (纸本)9783031776809

Flood forecasting methods based on deep learning rely on a large number of observational data, and are facing serious challenges in areas with scarce data. Aiming at the problems of flood inundated range prediction in areas with scarce data, this paper proposes a flood inundated range prediction method based on spatial reduction reconstruction (SRR) and improved deep attention neural network (Informer) to reduce the data requirements of the two core parts of water level simulation and spatial modeling. It alleviates the problem of insufficient observational data for flood inundation range prediction in areas with scarce data. This method obtains the dependency relationship of long time series data through Informer model, and inserts the built-in input selection layer to reduce the number of parameters in the model, reducing the data requirement of water level simulation. At the same time, the SRR algorithm is used to select the representative locations that are easy to be inundated in the basin, which reduces the number of locations required for spatial modeling of flood inundation range and the corresponding data requirements. The experimental results show that this method can improve the accuracy of flood inundation range prediction and speed up the efficiency of the model. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Prediction models

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Design and simulation of an Intelligent Traffic Management System Using Vehicular Networks 3

Design and Simulation of an Intelligent Traffic Management S...

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3rd international conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Tapan Datta, P. Lalith Kumar, D. Tanoj, S. Rajagopal, Shinu M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

In this study, the reasearch is focused on the simulation of vehicular communication networks, especially intelligent traffic systems, to enhance dependability, safety, and optimality in communication. The simulation is performed using the OMNeT++ simulator and is integrated with the Veins framework that uses the IEEE 802.11p protocol for V2V and V2I communications. Importing real-world traffic scenarios into the framework is obtained via the use of SUMO through TraCIScenarioManager. Other features of the framework include the definition of mobility models, dynamic obstacles, and detailed radio propagation modeling. TraCIDemo11p is used for mobility and communication by both RSUs and vehicles with applications in beaconing and channel switching. The whole framework analyzes smart traffic management solutions, providing as much insight into their performance based upon the communication reliability and overall efficiency in vehicular networks. © 2025 IEEE.

关键词： Highway administration

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Exploratory customer discovery on Veblen goods using ChatGPT and agent-based modeling system for business simulation 16

Exploratory customer discovery on Veblen goods using ChatGPT...

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16th international conference on ENTERprise Information Systems, CENTERIS 2024 - 12th international conference on Project MANagement, ProjMAN 2024 - 14th international conference on Health and Social Care Information Systems and Technologies, HCist 2024

作者： Alabastro, Zachary Matthew Cordova, Reuel Matthew Ilagan, Joseph Benjamin Ilagan, Jose Ramon Business Insights Laboratory for Development Ateneo de Manila University Loyola Heights Quezon City1108 Philippines

The study of demand in a dynamic and complex market economy has been a point of discussion in observing consumer behavior. Entrepreneurs have struggled with market research as customer discovery can be costly and time-consuming. The concept behind non-intuitive demand curves has increased the complexities of predicting demand. Large language models (LLMs) are observed to be computational models for humans, having the innate capacity to simulate human behavior and decision-making. Through a simulation model and the agent-based modeling system (ABMS) approach, entrepreneurs can utilize LLMs by using their ability for customer discovery. By applying prompting frameworks and chain-of-Thought (CoT), LLMs such as ChatGPT-3.5 can generate customer willingness-To-pay (WTP) without fine-Tuning the model. The study experimented on two business models that pertained to Veblen demand and prompted GPT-3.5 to simulate WTP without any explicit references to "Veblen" to determine its inherent knowledge. The results show that some customer simulations generated with GPT-3.5 appear to form a non-inverted demand curve. Future studies may be considered to understand the LLM's capability of perceiving socio-economic and psycho-emotional behavior regarding product demand and consumption. © 2025 Elsevier B.V.. All rights reserved.

关键词： Chatbots

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10th international conference on Modelling and simulation for Autonomous Systems, MESAS 2023

10th International Conference on Modelling and Simulation fo...

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10th international conference on Modelling and simulation for Autonomous Systems, MESAS 2023

ISBN: (纸本)9783031713965

The proceedings contain 25 papers. The special focus in this conference is on Modelling and simulation for Autonomous Systems. The topics include: Atlas Fusion 2.0 A ROS2 Based Real-Time Sensor Fusion Framework;UAS Flight Path Optimization Model for Effective Monitoring and Surveillance of the Buffer Zone in the UNFICYP Peacekeeping Mission;A Model-Based Design Approach for a System of Systems Based on an Integrated UAV Platform;practical Applicability of Tree Spacing Passability Analysis on Vehicle Path Planning;where to Go and How to Get There: Tactical Terrain Analysis for Military Unmanned Ground-Vehicle Mission Planning;a Survey of Trajectory Planning Algorithms for Off-Road Uncrewed Ground Vehicles;multi-physics and Multi-spectral Sensors Simulator for Autonomous Flight Functions Development;Conceptual Aspects of Counter-UAS Modelling and simulation;challenges Associated with the Deployment of Autonomous Reconnaissance Systems on Future Battlefields;The Key Challenges of SBAD M development of Geoprocessing Tool for Wet Gap Crossing in Military Operations;digital Twin modeling for Machine Vision Testing in Autonomous Systems;a Situation Analysis Process in computer-Generated Forces Team Behavior Within Air Combat simulations Under Risk and Uncertainty: Concept and First Implementations;a Tactical Planning Process in computer-Generated Forces Team Behavior Within Air Combat simulations: Concept and First Implementations;survey on Sensing, Modelling and Reasoning Aspects in Military Autonomous Systems;Camera Based AI Models Used with LiDAR Data for Improvement of Detected Object Parameters;the Analysis of Point Cloud Registration Methods for Natural Environment in Autonomous Driving;Hyperspectral Data Dimensionality Reduction: A Comparative Study Between PCA and Autoencoder Methods.

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Towards a simulation Model for the Characterization of Duroc Pig 2nd

Towards a Simulation Model for the Characterization of Duroc...

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2nd Decision Science Alliance international Summer conference, DSA ISC 2024

作者： Patel, Bhumika Fonseca i Casas, Pau Universitat Politécnica de Catalunya-Barcelona Tech Barcelona08034 Spain

ISBN: (纸本)9783031782404

Optimizing productivity, health, and sustainability in livestock production hinges on effective animal feeding strategies. simulation modeling has emerged as an invaluable tool for thoroughly understanding and evaluating these strategies. Through simulation models, the complex interactions among animals, feed resources, environmental factors, and management practices can be analyzed comprehensively and dynamically. Here we try to make a preliminary model to understand their feeding strategies. This model aims to depict the intricate relationships among the animals. To facilitate this exploration, a simulation model has been constructed utilizing a causal diagram based on the Specification and Description Language (SDL). Such models offer a robust platform for assessing the intricate dynamics at play within livestock systems, enabling stakeholders to make informed decisions for enhancing efficiency and sustainability. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Livestock

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CENTERIS 2024 - international conference on ENTERprise Information Systems / ProjMAN 2024 - international conference on Project MANagement / HCist 2024 - international conference on Health and Social Care Information Systems and Technologies

CENTERIS 2024 - International Conference on ENTERprise Infor...

引用

The proceedings contain 235 papers. The topics discussed include: from many to one: a case study of cooperative enterprise systems in B2B digital platform creation;navigating the digital future: impact and opportunities of digital transformation and the metaverse;exploratory customer discovery on Veblen goods using ChatGPT and agent-based modeling system for business simulation;navigating blockchain assimilation in private institutions: a multi-level perspective analysis;artificial intelligence applied in adaptive manufacturing process monitoring: a state-of-the-art in the era of automation;the design of self-paced learning for structured learning environments;implementation of information systems for the long-term reuse of data in humanities research;and structural and cultural barriers to digital transformation in Swedish public organizations.

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Agent-Based simulation Leveraging Declarative modeling for Efficient Resource Allocation in Emergency Scenarios 19th

Agent-Based Simulation Leveraging Declarative Modeling for ...

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19th international conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2024

作者： Murareţu, Ionuţ Vultureanu-Albişi, Alexandra Ilie, Sorin Bădică, Costin Department of Computers and Information Technology University of Craiova Craiova Romania

ISBN: (纸本)9783031815416

Emergencies can cause complex challenges for emergency hospitals, requiring an effective allocation of limited resources to reduce the loss toll. In this paper, we address a declarative modeling approach for the problem of assigning casualties to hospitals in an agent-based simulation context for emergency crises. Our approach leverages autonomous and decision-making-capable agents to optimize resource allocation while addressing various constraints, including but not limited to resource shortages and patient prioritization criteria. In addition, we present simulation outcomes that illustrate the effectiveness of the proposed approach in various randomly generated mass casualty incident scenarios. Furthermore, we conclude that our approach offers a promising direction to increase the efficacy and resilience of the rescue team’s responses in the face of mass casualty incidents. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Digital elevation model

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modeling and Analysis of Train Control Center simulation System Based on CPN

Modeling and Analysis of Train Control Center Simulation Sys...

引用

2025 international conference on Electrical Automation and Artificial Intelligence, ICEAAI 2025

作者： Luo, Sheng He, Tao Ministry of Education Lanzhou Jiaotong University Key Laboratory of Optoelectronics and Intelligent Control Gansu Lanzhou China Lanzhou Jiaotong University Institute of Automatic Control Gansu Provincial Rail Transit Signal and Control Evaluation Industry Technology Center Gansu Lanzhou China

ISBN: (纸本)9798331506797

Train Control Center (TCC) is the hub of the information interaction of the column control system. It is the core system that ensures the safety of railway driving and ensure transportation efficiency. The traditional manual test method has many problems, such as high test cost, long time-consuming and low efficiency, and great influence of human subjective factors. This paper uses computer simulation technology to build a simulation test system. By analyzing the information interaction between the column control center and other devices, the computer simulation technology is used to build the simulation test system simulation control system operation. This system can intuitively reflect the performance of the column control system, which is convenient to optimize and adjust the design scheme, make theoretical guidance for the establishment of the real control system. According to the functional test requirements of TCC, this paper uses Colored Petri Net (CPN) to establish a hierarchical model for the simulation test system of the train control center. Taking the temporary speed limit scene test as an example, the formal modeling of the simulation test system through CPN can avoid the ambiguity caused by the specification description, improve the timeliness and safety of the system, help to find the problems that may occur in the design specification, manufacturing and operation of the system, and provide some reference for the design of the real train control system. © 2025 IEEE.

关键词： Colored Petri Net component Hierarchical modeling Model validation Temporary speed limit Train Control Center

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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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