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Research on the Application of computer Virtual Reality Technology in Animation Software modeling Production

Research on the Application of Computer Virtual Reality Tech...

引用

2023 international conference on Telecommunications, Electronics and Informatics, ICTEI 2023

作者： Liu, Yongchun Li, Juan Fuyang Normal University Anhui Fuyang236000 China

ISBN: (纸本)9798350342963

This paper focuses on the role of computer virtual reality 3D modeling technology in 3D animation. Through the research on the method of 3D VIA Composer software to make assembly simulation animation, this paper affirms and expounds the advantages of its rapid production simulation animation, and discusses and summarizes the methods that can effectively improve the efficiency of animation production in its production process. At the same time, this paper presents the advantages of using SketchUp software to quickly create 3D models. It can be converted and connected with 3D VIA Composer software to make simulation animations. © 2023 IEEE.

关键词： Animation

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simulation of Social Network Information Retrieval and Classification Model Based on Graph Neural Network Algorithm

Simulation of Social Network Information Retrieval and Class...

引用

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

作者： Zhou, Jiayi School of Law Shandong University of Technology Shandong Zibo255000 China

ISBN: (纸本)9798350343724

Based on the popularity of social networks, a large amount of information is generated every day. This information contains a lot of useful data, but there is also a lot of useless or harmful information. This article focuses on how to construct information retrieval (IR) and classification model of social network by using graph neural network (GNN) algorithm. Firstly, the social network data are preprocessed by data cleaning, deduplication and labeling, so as to eliminate redundancy and noise information and meet the needs of subsequent model training. Next, the GNN model is trained by using the preprocessed data set, and the model suitable for IR and classification is established. Finally, the model is evaluated and tested to fully consider its accuracy and efficiency. The results show that this algorithm can make full use of graph structure information in social networks, find key information and hidden community structure, improve the efficiency and accuracy of IR and classification, and provide an effective theoretical basis for practical application in the field of law. © 2023 IEEE.

关键词： Information retrieval

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A Web-Based System for Learning Qualitative Constraint Networks with Preferences 19

A Web-Based System for Learning Qualitative Constraint Netwo...

引用

19th international conference on Software Technologies, ICSOFT 2024

作者： Echavarria, Pablo Mouhoub, Malek Department of Computer Science University of Regina Regina Canada

ISBN: (纸本)9789897587061

We present a new web-based platform crafted to represent and learn Qualitative Constraint Networks (QCNs) with preferences, focusing specifically on temporal data. The system uses a learning algorithm that extracts qualitative temporal constraints through user-guided membership queries. The learning process is enhanced with transitive closure (Path Consistency) to infer new relations and reduce the number of queries. Path consistency relies on the Allen’s interval algebra composition table. During the learning phase, the user can add their preferences. The latter will be represented by a conditional preference network (CP-net). © 2024 by SCITEPRESS – Science and Technology Publications, Lda.

关键词： Contrastive Learning

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Magnetic Levitation of Permanent Magnet Spheres: modeling and simulation 4

Magnetic Levitation of Permanent Magnet Spheres: Modeling an...

引用

4th international conference on Electrical, computer, Communications and Mechatronics Engineering, ICECCME 2024

作者： Haggag, Salem Ali, Khaled American University in Dubai Dept. of Mechanical Engineering Dubai United Arab Emirates American University in Dubai Dept. of Electrical and Computer Engineering Dubai United Arab Emirates

ISBN: (纸本)9798350391183

The study of magnetic levitation systems has attracted significant attention due to their energy efficiency and minimal friction attributes that are deemed essential in various industries. These systems are characterized by inherent non-linearity and open-loop instability, primarily due to the dynamics of magnetic forces. This paper introduces a comprehensive approach to modeling and controlling a magnetic levitation system that levitates a permanent magnet sphere. The developed non-linear model realistically accounts for various system parameters including the length of the electromagnet, coil diameter, and number of turns. Additionally, the magnetic permeability of the electromagnet core is factored into the calculation of the system's magnetic force. Finally, the model also accounts for the magnetic field due to the permanent sphere. For control purposes, a linearized version of the system model is employed to design a proportional-integral-derivative (PID) controller. The efficacy of the derived model is demonstrated through comparison with experimental measurements of a magnetic levitation system that utilizes a Hall effect sensor. The findings of the comparison underscores the model's accuracy, confirming its viability for designing controllers for magnetic levitation systems. © 2024 IEEE.

关键词： Permanent magnets

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BER Performance modeling and simulation of QPSK System in Multi-path Fading Channel 3

BER Performance Modeling and Simulation of QPSK System in Mu...

引用

3rd international conference on Computing, Communication, Perception and Quantum Technology, CCPQT 2024

作者： Ma, Xiaoqing School of Information Engineer Xi’an Eurasia University Xi’an China

ISBN: (纸本)9798331528386

This paper studies the bit error rate (BER) performance of QPSK (four-phase shift keying) system in multipath fading channels. The mathematical model of multi-path fading channel is established, and the system simulation is carried out using MATLAB software platform. In this paper, the characteristics of multi-path fading channel and its influence on BER performance of QPSK system are analyzed first, and then the corresponding simulation model is established to complete the BER simulation design of QPSK in multi-path channel, and the simulation results under different fading scenarios are compared and analyzed. The results show that the BER performance of QPSK system is significantly affected under multi-path fading channels, in which frequency-selective fading has the most significant negative effect on the performance. © 2024 IEEE.

关键词： MATLAB

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A Realistic simulation Method for the Micro-Doppler Characteristics of Helicopter Rotor Blade Radar Echo 3

A Realistic Simulation Method for the Micro-Doppler Characte...

引用

3rd international conference on Electronic Information Engineering and computer, EIECT 2023

作者： Qin, Zhengyang Lin, Qianqiang Fu, Xuebin Xi'An Electronic Engineering Research Institute Shaanxi Xian China National University of Defense Technology National Key Laboratory of Science and Technology on ATR College of Electronic Science and Technology Hunan Changsha China

ISBN: (纸本)9798350357707

Aiming at the problem that the simulation results are inconsistent with the actual results due to the simplified effect of rotor blade bending on echo in helicopter modeling, based on the scattering and dynamic characteristics of rotor blades, the influences of blade bending and hub rotation on modeling are analyzed. By simulating the position information of each scattering point, a refined model of helicopter radar echo is constructed. The fretting characteristics of radar echoes are analyzed theoretically. The simulation results verify the correctness and feasibility of the theoretical analysis. The establishment of this model improves the theory of rotor blade echo model, and has certain theoretical and application value in the field of detection and recognition of rotor targets. © 2023 IEEE.

关键词： Turbomachine blades

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Cooperative processing simulation system for major train accidents 24

Cooperative processing simulation system for major train acc...

引用

16th international conference on computer modeling and simulation, ICCMS 2024

作者： Ma, Chi Su, Hu Zhao, Yuanhang Han, Shibo School of Electrical Engineering Southwest Jiaotong University Chengdu China

ISBN: (纸本)9798400717215

In order to solve the problems of poor interactivity and insufficient practicality among staff when a major train accident occurs, this paper designs a simulation training system for collaborative handling of major train accidents. The system uses Unreal Engine to build a highly realistic train accident virtual environment. This paper designs a distributed collaborative simulation training platform based on C/S architecture, and provides a solution for avatars of task roles. In order to solve the problem of conflicting use of virtual items in the scene by multiple characters, an item locking and interaction mechanism is designed. Use full-body IK technology to achieve precise control of avatars using limited pose data. In practical applications, trainees in more than ten positions, including accident handling engineers and dispatch directors, can log in to the system at different locations and use avatars to carry out collaborative simulation training in the same virtual scene. Practice has proven that this system has realistic scenes, strong immersion, and good interactivity. It can effectively realize collaborative training of complex processes among multiple positions and has good training effects. © 2024 Copyright held by the owner/author(s).

关键词： Virtual reality

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3D Scene modeling and Real-Time Infrared simulation Technology Based on Artificial Intelligence Algorithm

3D Scene Modeling and Real-Time Infrared Simulation Technolo...

引用

international conference on Artificial Intelligence and Communication Technology, ICAICT 2023

作者： Zhu, Huayan Shanghai Institute of Technology Shanghai200235 China

ISBN: (纸本)9789819966400

With the continuous advancement of information technology and the increasing demand for real-time infrared simulation, establishing a high-performance real-time infrared simulation system is the primary task of battlefield information support system and the key factor to determine the outcome of the war. 3D infrared scene simulation technology is widely used in military-oriented fields such as performance test and evaluation of weapon imaging system, infrared remote sensing and mapping. In this chapter, driven by Artificial Intelligence (AI) technology, an infrared 3D scene modeling algorithm based on improved Convolutional Neural Network (CNN) is proposed. The calculation of material infrared image, the establishment of infrared image database and the real-time infrared scene modeling based on global 3D scene are preliminarily realized, and its modeling performance is simulated through experiments. The results show that after many iterations, the accuracy of the improved CNN is better than that of the traditional CNN, reaching more than 95%, and the error is also significantly reduced. The infrared image generated by this method is basically consistent with the real infrared image, which provides an effective way to prepare infrared reference map in real time. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Three dimensional computer graphics

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A Disaster Prediction Ensemble Classifier Using Artificial Intelligence

A Disaster Prediction Ensemble Classifier Using Artificial I...

引用

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

作者： Bharathi, V. Saranya, A. Shukla, Garima Shekhawat, Deepika Awasthi, Vanshaj Kumar, C.N.S. Vinoth Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India Amity University Amity School of Engineering and Technology Department of Computer Science and Engineering Mumbai India Amity University Department of Computer Science and Engineering Mumbai India Srm Institute of Science and Technology Department of Networking and Communications Kattankulathur Chennai India

ISBN: (纸本)9798331533311

Natural and man-made disasters may have severe impacts, but disaster prediction can help lessen such effects. The natural catastrophes that strike India on a regular basis cause immense devastation in terms of human lives and material possessions. Predicting the start and development of disasters in real-time is essential for reducing their effect. For more precise and trustworthy catastrophe predictions, this research presents an AI-powered catastrophe Ensemble B-Classifier network (DE BCN). The DPEC ensemble technique improves forecast accuracy over individual models by integrating various predictive outputs from numerous machine learning models that specialise in distinct kinds of disasters. This is where the data was originally pulled from Kaggle. To finish off the preprocessing, the norma clash filter was used. The next step is to use the optimisation method known as mustard twin swarm to extract characteristics that are connected to the tragedy. With any luck, the calamity Ensemble-B Classifier network will be able to forecast the calamity. Python and the Kaggle database were the environments used to carry out the investigation. According to the results of the simulations, the suggested approach is better than the current standard for predicting the catastrophic state. © 2024 IEEE.

关键词： Prediction models

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computer simulation OF LABORATORY EXPERIMENTS WITH TWO-PHASE SLUG FLOW INDUCED OSCILLATIONS ON A SUBMERGED FLEXIBLE CATENARY PIPE 43

COMPUTER SIMULATION OF LABORATORY EXPERIMENTS WITH TWO-PHASE...

引用

ASME 43rd international conference on Ocean, Offshore and Arctic Engineering (OMAE)

作者： de Oliveira Trigo, Caio Cesar Morooka, Celso Kazuyuki Bordalo, Sergio Nascimento Yamamoto, Marcio Univ Estadual Campinas Ctr Petr Studies Offshore Syst Lab Campinas SP Brazil Univ Estadual Campinas Fac Mech Engn Campinas SP Brazil Univ Estadual Campinas Ctr Petr Studies Campinas SP Brazil Natl Maritime Res Inst Ocean Engn Dept Tokyo Japan

ISBN: (纸本)9780791887868

Experiments were conducted for the oscillations of a submersed suspended flexible pipe ex]cited by the internal two-phase slug flow of liquid and gas. computer simulations were carried out with proprietary numerical tools to evaluate suitable modeling methods for pipe oscillations. The experiment was conducted with a pipe set in a catenary configuration inside a two meters deep water tank. Water and air were injected into the pipe at its bottom end with various flow rate combinations, forming horizontal slug flow patterns. The slug two-phase flow generated intermittent loads on the pipe promoting its oscillation. At the same time, cameras monitored the dynamic response of the pipe. Processing the video images frames generated time-history records of the movement of the pipe. In this paper, computer simulations were performed to determine the frequencies and amplitudes of the pipe oscillations, which were compared to those from the experiment. A proper scaling up of experimental results with the support of computer simulations should be helpful for the analysis and design of suspended risers employed in offshore petroleum platforms carrying up oil and gas from petroleum reservoir wells to floating production facilities.

关键词： two-phase slug flow petroleum production subsea pipeline riser computer simulation experimental work

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