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Securing IoT Surveillance Airport Infrastructure

Securing IoT Surveillance Airport Infrastructure

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international conference on Smart applications, Communications and Networking (SmartNets)

作者： Aranzazu-Suescun, Catalina Zapata-Rivera, Luis Felipe Saenz, Owen Guerra-Mondragon Christensen, Jacob Michael Embry Riddle Aeronaut Univ Dept Cyber Intelligence & Secur Daytona Beach FL 32114 USA Embry Riddle Aeronaut Univ Dept Comp Elect & Software Engn Daytona Beach FL USA

ISBN: (纸本)9798350385328;9798350385335

Over the last three decades, airports have adopted the Internet of Things (IoT) technology in their core services. Luggage scanning, ticketing, and security checkpoints are becoming increasingly automated, providing a more efficient and reliable process. However, IoT merchants disregard the importance of securing their devices, focusing only on the improvements following automation. This oversight has opened the door to numerous opportunities for attackers to exploit vulnerabilities in their system, resulting in damage to the company's reputation. Probable attacks are identified and ranked according to their respective damage to the system through threat modeling. After system implementation, cybersecurity professionals require periodic vulnerability assessments that outline potential shortcomings of the system's security to propose solutions to palliate the risks further. This project presents a test implementation of an IoT-based camera system using open-source technologies and protocols commonly implemented in commercial solutions. The prototype monitors a given area in a remote location using servo motors that are connected to Raspberry Pis to support pan and tilt (PT) functionality for the cameras. This project aims to apply forensics methodologies typically used in information technology (IT) enterprise networks in the context of IoT systems. OWASP's Risk Rating Methodology is used to identify and rate the likelihood and technical impacts of potential risks on the IoT surveillance testbed network. Wellknown and trusted tools were used to assess vulnerabilities in the system's implementation. Based on the results of the vulnerability assessment, a series of attacks were performed on the system to compromise the confidentiality, integrity, and availability of the system and data. The findings from these attacks were used to propose recommendations to secure IoT systems in surveillance applications.

关键词： Internet of Things Forensics methodologies OWASP Surveillance Vulnerability Assessment

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Resource Limitations of Business Process simulations: Literature Study 18th

Resource Limitations of Business Process Simulations: Litera...

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18th international KES conference on Agents and Multi-Agent Systems: technologies and applications, KES-AMSTA 2024

作者： Halaška, Michal Šperka, Roman Dolák, Radim School of Business Administration in Karvina Silesian University in Opava Univerzitni Namesti 1934 Karvina733 40 Czech Republic

ISBN: (纸本)9789819764686

In this research, we focus on various issues related to BPS and its possible impact on integration of time-driven activity-based costing (TDABC). The primary focus is on issues related to modeling and simulation of human and non-human resources. Resources directly affect the processing and waiting times of business processes which are fundamental building blocks of TDABC systems. To answer research question "What are the challenges of modeling and simulation of resources using BPS?", we conducted a literature review focused on positioning of modeling and simulation of resources in BPS. In our research, we present challenges related to BPS that should be considered when implementing TDABC. Furthermore, we also present solutions to some of the challenges of modeling and simulation of organizations’ resources. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Business process analysis Business process simulation Cost systems TDABC

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Optimal Design of a Variable-Pitch Axial Flow Fan by Applying Optimization Algorithm to Design, Through-Flow Analysis and CFD simulation Methods 19

Optimal Design of a Variable-Pitch Axial Flow Fan by Applyin...

引用

19th international conference on Software technologies, ICSOFT 2024

作者： Lee, Chan Choi, Jimin Hwang, Jiseok Lee, Hyeongjin Lee, Sangyeol Yang, Sang Ho Department of Mechanical Engineering University of Suwon 17 Wauangil Hwaseong Korea Republic of PIDOTEC A-309 MSTATE 114 Beobwon-ro Songpa-gu Seoul05854 Korea Republic of Samwon E&B 233 Jeongwangchun-ro Shiheung Korea Republic of

ISBN: (纸本)9789897587061

In order to develop a variable-pitch axial fan, an optimal three-dimensional fan blade is designed by using the 2-stage design optimization strategy to combine aerodynamic fan design program, CFD technique, and optimization algorithm. At the 1st stage of fan design optimization, the aerodynamic fan design program of this study is the FANDAS code where the chord length, setting angle, and camber angle of the fan blade are considered as design variables, and the performance, efficiency, and power of the fan are predicted by applying the through-flow analysis method to the designed fan. By applying a optimization algorithm to the FANDAS program, a three-dimensional fan blade shape is optimized and constructed for maximizing fan efficiency. At the 2nd stage of fan design optimization, CFD analysis method is also applied on the optimized fan from the first design optimization study, and additional design optimization for the blade setting angles is conducted by applying an optimization algorithm to the CFD model and simulation results. Furthermore the total pressure, efficiency, and power characteristic curves of the fan according to the variable-pitch operation conditions are calculated by applying the CFD technique to the final optimal fan model obtained through the 2-stage design optimization processes. From the CFD results on the characteristic curves of optimal fan, it is found that the optimal fan model of this study shows the highest efficiency of 91% at the design point, maintains high efficiency level of 80% in a wide flow range through variable-pitch operation. © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Computational fluid dynamics

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Research on System-of-systems simulation of Space-Earth integrated communication based on factor analysis 6

Research on System-of-systems simulation of Space-Earth inte...

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6th international conference on Wireless Communications and Smart Grid, ICWCSG 2024

作者： Wang, Wei Yuan, Lili Institute of Telecommunication and Navigation Satellites China Academy of Space Technology Beijing100094 China

ISBN: (纸本)9781510682962

The main purpose of System-of-systems simulation modeling is to measure the contribution of equipment to the overall effectiveness of the System-of-systems. Space-Earth Integrated Communication System-of-systems exhibits significant characters of large scale, large number,various types of communication units and complex *** order to meet the industrial development of Space-Earth Integrated Communication, it is urgent to carry out research on System-of-systems modeling, simulation,and index evaluation. It brings great challenges such as simulation confidence requirement, extraordinary contradiction between simulation precision and efficiency, and high requirements of generalization level on simulation model. In this work, the simulation methods, simulation models, simulation technologies and simulation applications are intensively studied for the System-of-systems combat for Space-Earth Integrated *** paper proposes the model construction ideas, thoroughly investigates the three dimensions of model construction in System-of-systems: Elements,correlations, and operation environments in System-of-systems,and forms a set of modeling framework of System-of-systems simulation model. This model can provide a foundation for the simulation and deduction of Satellite Communication System-of-system. And a multi-level simulation model architecture is proposed base on inter-hierarchy modeling methodology, which broke through the key technologies of universal code framework design, optimization of satellite communication full link simulation efficiency, decoupled optimization of simulation flow for satellite resource allocation under different systems. The simulation indexes and results presents the characteristic of high-dimension,high-redundancy, and high-relationship, and a resonable reduction of indexes and efficient neural network model for effectiveness evaluation are *** the comparison between simulated data and measured data, the vali

关键词： Satellite communication systems

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Algorithm for Distributing Incoming Messages Among Handlers 2nd

Algorithm for Distributing Incoming Messages Among Handlers

引用

2nd international conference on Information technologies and Their applications

作者： Zverev, Ivan Zykina, Anna Omsk State Tech Univ 11 Mira Prospect Omsk Russia

ISBN: (纸本)9783031734199;9783031734205

In modern digital world, the amount of information is increasing dramatically. All this information requires immediate processing which can be done by automated systems. To accelerate processing in automated systems, new models, methods and efficient algorithms for their implementation are needed. The article considers the problem of distributing incoming messages to handlers in an automated system of an organization. The classical assignment problem and known methods of its solution are the mathematical basis for solving the problem. A generalization of the assignment problem with invalid combinations of assignments is considered as a model. A solution algorithm is developed and a software product for solving the described problem in the Python language is implemented. Moreover, numerical experiments are carried out to verify the quality of the developed algorithm and check its feasibility. The applied problem posed in this paper is relevant as in terms of its practical application and as the study of the mathematical model of the assignment problem and methods of its solution. The developed algorithm allows us to calculate the system load and regulate the number of handlers in operation. The obtained results can serve as input parameters for the simulation model of the incoming message processing system which will allow experimenting with the load of such a system.

关键词： Assignment Problem Mathematical modeling Distributed Computing Systems Equivalent Transformations simulation modeling Python

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simulation modeling for AI Rack Landing in Large Scale Datacenters 10

Simulation Modeling for AI Rack Landing in Large Scale Datac...

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10th international conference on Control, Decision and Information technologies (CoDIT)

作者： Mishra, Richa Hanna, Sarah Kaufmann, Richard Kang, Sukwoo Meta Platforms Inc Menlo Pk CA 94025 USA

ISBN: (纸本)9798350373981;9798350373974

The planning for AI hardware deployments is driven by the evolving demands of products and services. High-performing AI servers play an important role in supporting AI and ML workloads across these platforms. In this paper, we present a case study on the application of Monte Carlo simulations for AI rack landing. The reliable planning and allocation of high-performing AI servers are particularly important in large scale datacenters, which consist of diverse hardware types, components and software systems that work together to support the execution of various AI models and applications. This study helps understand the application Monte Carlo simulations to forecast rack landing quantities and support efficient deployment. The simulation model provides insights into the potential impact of external events on delivery schedules, allowing teams to make necessary adjustments to their plans. Throughout the paper, we discuss the motivation behind studying the application of Monte Carlo simulations for AI rack landing, as well as the complexities of AI racks and the associated risks and challenges for AI hardware. We also delve into the working of Monte Carlo simulations and provide an overview of the overall flow of the simulation process. In addition, we present the results of our study and discuss the challenges encountered during the implementation of the simulations. Finally, we conclude with key takeaways and implications of our findings, highlighting the features of using flexible planning tools like Monte Carlo simulations to support strategic planning, preparing logistics [9] and deployment of AI hardware in large scale heterogeneous infrastructures.

关键词： Application programs

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Leveraging the Power of 'modeling and Computer simulation' for Education: An Exploration of its Potential for Improved Learning Outcomes and Enhanced Student Engagement

Leveraging the Power of 'Modeling and Computer Simulation' f...

引用

2023 IEEE international conference on Device Intelligence, Computing and Communication technologies, DICCT 2023

作者： Alam, Ashraf Indian Institute of Technology Rekhi Centre of Excellence for the Science of Happiness West Bengal Kharagpur India

ISBN: (纸本)9781665474924

modeling and computer simulation has emerged as an important tool in education as it provides a platform for students to engage in hands-on learning experiences that are interactive, immersive, and personalized. In this paper, the researcher explores the applications of modeling and simulation in education as a means of improving learning outcomes and student engagement. This scientific investigation examines the benefits of employing modeling and computer simulation in teaching complex scientific and engineering concepts, developing virtual labs for hands-on learning, personalizing learning experiences, supporting teacher professional development, and assessing student learning and progress. Furthermore, the researcher demonstrates the use of the programming language Python to simulate the behavior of computer algorithms and provide real-world context for learning. The findings of the study suggest that the use of modeling and computer simulation has the potential to significantly enhance student learning outcomes and engagement, as well as to provide a dynamic and interactive learning environment that supports personalization and creativity. © 2023 IEEE.

关键词： Curricula

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Streamlined Deployment of a Distributed and Scalable Co -simulation Platform for Integrated Finergy Systems 22

Streamlined Deployment of a Distributed and Scalable Co -Sim...

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22nd international conference on Intelligent Systems applications to Power Systems

作者： Chini, Fabio Canali, Davide Barbierato, Luca Schiera, Daniele Salvatore Bottaccioli, Lorenzo Margara, Alessandro Patti, Edoardo Politecn Milan DEIB Milan Italy Politecn Milan DAUIN Turin Italy Politecn Milan Energy Ctr LAB Turin Italy Politecn Milan DENERG Turin Italy Politecn Milan DIST Turin Italy

ISBN: (纸本)9798331531768;9798331531751

To reach decarbonisation goals, energy systems are becoming increasingly complex and deeply integrated with other sectors and activities through digital technologies such as Big Data analytics and Digital Twins. In recent years, co -simulation has become a powerful technique to study complex cyber-physical integrated energy systems. Indeed, co -simulation enables the coupling of diverse simulators, each specialised in modelling a specific aspect of the system, to provide a comprehensive understanding of its behaviour. As the simulation scenarios grow in scale and complexity, they require more extensive compute infrastructures to scale horizontally. Yet, deploying and operating co -simulation platforms in distributed computing infrastructures remains a difficult task. This paper explores the challenges faced in achieving scalable co-simulation through horizontal distribution using cluster/cloud deployments, both in terms of engineering complexity for deploying and operating co-simulation platforms and in terms of absolute performance and scalability. It proposes a novel framework to streamline the process of deploying and operating complex co -simulation scenarios in cloud environments. The framework adopts established methodologies in engineering software solutions in the cloud to deploy and operate co -simulations. Specifically, it adopts containerisation technologies to decouple the definition of the simulation scenario from the execution infrastructure, automating and abstracting away distribution and deployment concerns and allowing seamless migration to different computing infrastructures. An initial assessment of absolute performance and scalability of realistic co-simulation scenarios within the proposed framework shows the benefits of horizontal scaling but also the performance bottlenecks introduced by current technologies for orchestrating simulators.

关键词： Co-simulation Integrated Energy Systems Distributed computing Performance Analysis Cloud Software Engineering

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On Advanced modeling of Compressors and Weighted Mix Iteration for simulation of Gas Transport Networks 1

引用

11th international conference on simulation and modeling methodologies, technologies and applications, SIMULTECH 2021

作者： Baldin, Anton Cassirer, Kläre Clees, Tanja Klaassen, Bernhard Nikitin, Igor Nikitina, Lialia Pott, Sabine Fraunhofer Institute for Algorithms and Scientific Computing Schloss Birlinghoven Sankt Augustin53754 Germany Bonn-Rhine-Sieg University of Applied Sciences Grantham-Allee 20 Sankt Augustin53754 Germany

ISBN: (数字)9783031231490

ISBN: (纸本)9783031231483

In this paper, the modeling of gas compressors with detailed representation of their calibrated characteristics is considered. A method is developed for transforming the characteristics from the space of calibration data to the space of transport variables in which the network problem is actually solved. This transformation satisfies the general stability conditions necessary for the convergence of Newtonian iterations in solving large scale network problems. In addition, a stabilization method of weighted relaxation for mixing iterations is presented, used to find the detailed gas composition. The tests on a large number of realistic gas networks demonstrate nearly 100% convergence of the methods. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Linear systems

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From simulation to Prediction: Enhancing Digital Twins with Advanced Generative AI technologies 18

From Simulation to Prediction: Enhancing Digital Twins with ...

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IEEE 18th international conference on Control and Automation (ICCA)

作者： Huang, Yijun Zhang, Jihan Chen, Xi Lam, Alan H. F. Chen, Ben M. Chinese Univ Hong Kong Dept Mech & Automat Engn Shatin Hong Kong Peoples R China

ISBN: (纸本)9798350354416;9798350354409

The integration of Generative Artificial Intelligence (GAI) into Digital Twins (DTs) marks a revolutionary stride in the evolution of virtual replicas for physical systems. This paper explores the cutting-edge advancements brought about by the incorporation of GAI technologies, specifically Large Language Models (LLMs), into DTs. These technologies herald a significant transformation, propelling DTs beyond their current capabilities to become more dynamic, predictive, and interactive tools that can simulate complex scenarios and anticipate future conditions with remarkable accuracy. By systematically examining the levels of GAI integration within DTs, this study delves into the methodologies and strategies for embedding AI capabilities into these virtual models. It outlines how GAI can enhance the functionality of DTs, enabling them to generate synthetic datasets, simulate unprecedented events, and provide actionable insights with LLM-based agents for decision-making. Furthermore, the paper highlights the extended applications of DTs, enriched by GAI, across various domains such as healthcare, urban planning, and beyond. The implications of this integration for operational efficiency, innovation, and decision-making processes are profound. By offering a comprehensive overview of the current state of technology and projecting future trends, this paper aims to provide stakeholders with a deep understanding of the synergistic potential between GAI and DTs. It sets the stage for a new era of DT technologies, where the boundaries of what can be achieved with virtual models are continually expanding.

关键词： Decision making

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