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AsaPy: A Python Library for Aerospace simulation Analysis 38

AsaPy: A Python Library for Aerospace Simulation Analysis

引用

38th ACM SIGSIM international conference on Principles of Advanced Discrete simulation (ACM SIGSIM PADS)

作者： Dantas, Joao P. A. Silva, Samara R. Gomes, Vitor C. F. Costa, Andre N. Samersla, Adrisson R. Geraldo, Diego Maximo, Marcos R. O. A. Yoneyama, Takashi Inst Adv Studies Sao Jose Dos Campos Brazil Aeronaut Inst Technol Sao Jose Dos Campos Brazil

ISBN: (纸本)9798400703638

AsaPy is a custom-made Python library designed to simplify and optimize the analysis of aerospace simulation data. Instead of introducing new methodologies, it excels in combining various established techniques, creating a unified, specialized platform. It offers a range of features, including the design of experiment methods, statistical analysis techniques, machine learning algorithms, and data visualization tools. AsaPy's flexibility and customizability make it a viable solution for engineers and researchers who need to quickly gain insights into aerospace simulations. AsaPy is built on top of popular scientific computing libraries, ensuring high performance and scalability. In this work, we provide an overview of the key features and capabilities of AsaPy, followed by an exposition of its architecture and demonstrations of its effectiveness through some use cases applied in military operational simulations. We also evaluate how other simulation tools deal with data science, highlighting AsaPy's strengths and advantages. Finally, we discuss potential use cases and applications of AsaPy and outline future directions for the development and improvement of the library.

关键词： Aerospace simulations Data Analysis Design of Experiments Machine Learning Military Scenarios

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Method SPH for numerical solution of filtering problems: including capillary forces in fluid flow simulation 12

Method SPH for numerical solution of filtering problems: inc...

引用

12th international conference on Mathematical modeling in Physical Sciences, IC-MSQUARE 2023

作者： Bashurov, V. Zhigalov, V. Comtrade 360 Belgrade Serbia UNN Nizni Novgorod Russia

This paper explores the theory of filtration within porous media, focusing on multicomponent mixtures' dynamics and their numerical modeling. Key equations governing filtration, including Darcy's law and mass conservation, are introduced. The concept of smoothed particle hydrodynamics (SPH) is presented as a powerful numerical technique for approximating these equations. SPH's integral interpolation approach accommodates complex fluid-solid interactions and is applied to one-dimensional and two-dimensional test cases. Results demonstrate SPH's effectiveness in capturing intricate dynamics and aligning with traditional methodologies. This study contributes to understanding fluid dynamics in porous media and underscores SPH's potential for accurate simulations in diverse applications, from hydrocarbon reservoirs to environmental systems. The first section in your paper. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Porous materials

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Deploying Artificial Intelligence for Optimized Flood Forecasting and Mitigation 20

Deploying Artificial Intelligence for Optimized Flood Foreca...

引用

20th ACS/IEEE international conference on Computer Systems and applications (AICCSA)

作者： Algarni, Mohammad Al Baha Univ Comp Sci Dept Al Baha 65779 Saudi Arabia

ISBN: (纸本)9798350319439

The urgent need to develop strategies for predicting and managing flooding disasters has become increasingly important due to the rising frequency and severity of such events largely attributed to the effects of climate change. Artificial intelligence presents an approach to effectively tackle this pressing issue. This study thoroughly examines how artificial intelligence techniques are being used in flood forecasting and control. It explores the utilization of data sources like satellite imagery and Internet of Things (IoT) sensors to enhance the accuracy of AI based predictions. However like any advancement utilizing artificial intelligence in this field comes with its own unique set of challenges. The aim of this research is to investigate concerns that require attention in the realm of AI powered flood management. These challenges encompass aspects such as ensuring data integrity across geographical regions, efficiently handling the computational requirements of deep learning models and addressing issues related to fair distribution of AI powered flood control technologies. By examining methodologies employed in this domain along with their associated challenges, this paper seeks to provide an understanding of how artificial intelligence profoundly influences the future direction of flood prediction and control.

关键词： Artificial Intelligence Floods Machine Learning Flood Forecasting Disaster Mitigation Predictive modeling Data Analytics

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Exploring the Role of OR/MS in Cancer Research 3rd

Exploring the Role of OR/MS in Cancer Research

引用

3rd international conference on Optimization, Learning Algorithms and applications (OL2A)

作者： Teixeira, A. Almeida, R. Univ Tras Os Montes & Alto Douro P-5001801 Vila Real Portugal Pole CMAT UTAD Math Ctr CMAT Vila Real Portugal

ISBN: (纸本)9783031530241;9783031530258

This study aims to explore and analyze the significant role of Operations Research/Management Science (OR/MS) in the field of cancer research. The purpose of this work is to identify and highlight the various applications, methodologies, and contributions of OR/MS techniques in advancing cancer research, as well as to establish how OR/MS can effectively contribute to the development of innovative strategies, optimization of treatment protocols, decision-making processes, and overall improvement in cancer treatment. Fifteen papers with an extensive diversity of motivations were explored. Optimization of radiation therapy treatment plan, cancer prevention and personalized cancer therapy were some of the objectives of these works. Robust optimization, multi-objective optimization, Mixed Integer Programming, simulation and optimal control are some of the OR/MS techniques applied to cancer analysis.

关键词： OR/MS Methods modeling Cancer research

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modeling Quadcopter Stabilization 2nd

Modeling Quadcopter Stabilization

引用

2nd international conference on Information technologies and Their applications

作者： Pashayev, Adalat Sabziev, Elkhan Inst Control Syst AZ-1141 Baku Azerbaijan

ISBN: (纸本)9783031734168;9783031734175

Problems of control of unmanned aerial vehicles (UAVs) are investigated. The problem of developing an automatic controller to maintain the spatial position of UAVs is addressed. The spatial position here is altitude, yaw, roll and pitch angles. It is assumed that the initial information comes from the MPU6000 type sensors. An approach to solving the problem of signal denoising and tuning is proposed. Sensors of this type output loads (accelerometers) and angular velocities. To calculate the current angle, it is necessary to integrate the angular velocities. In doing so, it becomes necessary to solve two problems. First, angular velocities are measured in the local coordinate system, while the spatial position of the UAV is calculated relative to the global coordinate system. Second, when integrating angular velocities, the effect of error accumulation occurs. The possibilities of refining gyroscope readings based on accelerometer readings are investigated. A simulation program is developed on the basis of a mathematical model of quadcopter motion. The source of forces and torques acting on the system is the Earth's gravity, the thrust force and torques generated by the motors, and the drag force. Numerical methods are used to solve the system of equations. A PD controller is proposed to maintain the spatial position of the quadcopter. The coefficients are found experimentally. The proposed approach is verified in a computer simulation program.

关键词： UAV PD controller MPU6000 flight stabilization orientation angles sensor data processing regulator filter

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Analysis of the Finite Element simulation of the Linear Rolling Guide Pair Error Averaging Effect 5

Analysis of the Finite Element Simulation of the Linear Roll...

引用

5th international conference on Artificial Intelligence technologies and applications, ICAITA 2023

作者： Lin, Zixin Tian, Wenjie Zheng, Yingjie Xu, Yuanpei Shi, Kai Chen, Jiangtao Zhang, Dawei Gao, Weiguo Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education Tianjin University Tianjin China

ISBN: (纸本)9781643684840

This paper studied the error averaging effect of the linear guide pair based on finite element simulation method and proposed an assembly process to improve the accuracy of the kinematic subassembly. Firstly, a finite element modeling of a linear rolling guide pair is developed. The error transfer relationship between guide and kinematic subassembly is researched by simulating different combinations of guide errors. Secondly, the linear rolling guide pair experimental bench is built to experimentally verify, and the experimental results coincided with simulation analysis. Finally, in order to improve the accuracy of the kinematic parts, an assembly process is proposed. © 2024 The Authors.

关键词： Errors

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Design of Compact 4×4 MIMO Antenna for High-Speed Connectivity in the X-Band applications

Design of Compact 4×4 MIMO Antenna for High-Speed Connectiv...

引用

2024 IEEE international conference on Intelligent Signal Processing and Effective Communication technologies, INSPECT 2024

作者： Ramamohan, B. Reshma, K. Sai Krishna, K. Vinod Kumar, K. Sravanthi, P. Srinivas, L. Lendi Inst. of Engg and Tech Dept. of ECE India

ISBN: (数字)9798350379525

ISBN: (纸本)9798350379525

4×4 Multiple-input Multiple-output (MIMO) element antenna system operating at 8.56 GHz is designed and simulated in this research. Utilizing FR4 as the substrate material with a width of 0.8 mm and a size of 38×38 mm, the antenna design focuses on achieving high performance within compact form factors. The HFSS (High-Frequency Structure Simulator) software is employed for simulation studies, allowing thorough analysis of radiation patterns, impedance matching, and efficiency. Through careful optimization, the system aims to maximize spectral efficiency and reliability against multipath fading. The project explores potential applications of the MIMO antenna system in high-frequency communication scenarios such as 5G networks, satellite communication, and radar systems. Overall, this project contributes to the advancement of wireless communication technologies by offering insights into MIMO antenna design principles and optimization strategies, with the potential to enable high-speed data transmission and improved coverage in diverse deployment scenarios. Results from this study will help improve wireless communication technologies by providing a thorough knowledge of the principles and optimization methodologies for MIMO antenna design. Enhanced coverage, dependable connectivity in a variety of deployment circumstances, and lightning-fast data transfer are just a few ways in which the suggested MIMO antenna technology can shake up wireless communication networks. © 2024 IEEE.

关键词： Satellite antennas

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ICoCET 2024 - 2024 IEEE 1st international conference on Communication Engineering and Emerging technologies

ICoCET 2024 - 2024 IEEE 1st International Conference on Comm...

引用

1st IEEE international conference on Communication Engineering and Emerging technologies, ICoCET 2024

ISBN: (纸本)9798331504144

The proceedings contain 52 papers. The topics discussed include: RSSI fingerprint indoor modeling using near ground electromagnetic wave propagation approach for intruder detection in wireless sensor networks;design and simulation of MEMS thermal actuator;development of android application for intelligent 2D breast cancer visualization;measurement study of EM backscattering from radar antenna footprint confined infinite surfaces;the design and optimization of W-angular plate on quadrilateral surface;fruit juice dielectric properties characterization using artificial intelligence;a dual band RF rectifier for ISM and 5G applications;UWB microstrip patch antenna for dielectric material measurement system;and analysis of the shielding effectiveness of waste materials.

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Integrating GPU-Accelerated Tetrahedral Mesh Editing and simulation 1

引用

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

作者： Ströter, Daniel Halm, Andreas Krispel, Ulrich Mueller-Roemer, Johannes S. Fellner, Dieter W. Interactive Graphics Systems Group TU Darmstadt Darmstadt Germany Fraunhofer Austria Research GmbH Vienna Austria Institute of Computer Graphics and Knowledge Visualization TU Graz Graz Austria Fraunhofer IGD Darmstadt Germany

ISBN: (数字)9783031231490

ISBN: (纸本)9783031231483

The use of computer-aided methods for the design of parts that must meet functional or stability requirements typically consists of an iterative cycle of design, physical simulation and testing or analysis, followed by redesign, etc. Each step is often performed with a domain-specific tool, e.g., a specific CAD modeling suite. This results in the need to convert the model representation between steps, such as meshing for finite element simulation for example. In recent work, a distributed application framework has been proposed that allows for the interactive modification and simulation of tetrahedral meshes derived from existing CAD models, e.g., to create customized versions of parts that were designed for mass production. This shortens the design cycle by eliminating the need for conversion and switching between tools. In this paper, we present a more detailed description and improvements to this architecture by using GPU parallelization not only for simulation but also for mesh editing, which leads to even shorter iteration cycles. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Computer aided design

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Data Insights Nexus-Innovative Platform for Dynamic modeling and Visual Analytics 7

Data Insights Nexus-Innovative Platform for Dynamic Modeling...

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7th international conference on Inventive Computation technologies, ICICT 2024

作者： Nagaraj, P. Muneeswaran, V. Gopal Reddy, B. Venu Naga Ramya Sri, P. Gayathri, N. Dastagiri Reddy, T. Venkata Kalasalingam Academy of Research And Education Department of Computer Science And Engineering Virudhunagar Krishnankoil India Kalasalingam Academy of Research And Education Department of Electronics And Communication Engineering Virudhunagar Krishnankoil India

ISBN: (纸本)9798350359299

The study explores the terrain of data analysis by delving into Data Insights Nexus, a comprehensive system at the forefront of this field. The application integrates machine learning modeling, dynamic 2D/3D visualization, and robust anomaly detection within a unified framework. User-friendly interfaces empower effortless construction, fine-tuning, and deployment of intricate machine-learning models for deep insights from complex datasets. Advanced 2D/3D visualization transforms data relationships into visually intuitive representations. Furthermore, the system employs state-of-the-art anomaly detection, bolstering result accuracy by identifying elusive irregularities and outliers. Data Insights Nexus, as a pioneering solution, holds the potential to redefine data exploration and analysis across diverse research domains. It not only enhances efficiency but also offers unprecedented effectiveness in dealing with complex data. This research meticulously explores its components, applications, and potential impacts, providing invaluable insights for data analysts and researchers. The application represents a groundbreaking tool that promises to revolutionize research methodologies, enabling researchers to uncover new facets of data-driven discoveries. © 2024 IEEE.

关键词： Visualization

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