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Computational modeling, simulation and Data Analysis (CMSDA), international conference on

作者： Chengyan Chang Tao Yu Zhenping Chen Huajian Zhang Lanjun Kuang College of Computer Science School University of South China Hengyang China Virtual Simulation Experiment Teaching Center on Nuclear Energy and Technology University of South China Hengyang China School of Nuclear Science and Technology University of South China Hengyang China

In nuclear reactor design analysis, Monte Carlo (MC) programs are widely used for simulation calculations of particle transport. Traditionally, MC program input files are constructed by manual creation, but with the increasing complexity of advanced nuclear reactor models, the traditional input file construction method can no longer meet the application requirements, and it is important to develop an auxiliary modeling program for MC programs. In this paper, based on the open source platform SALOME, we conducted a study on the conversion of CAD 3D geometric model to MC computational model using decomposition-based BREP-CSG conversion algorithm and cavity generation algorithm, and developed an auxiliary modeling program MOSRT. Based on the MOSRT program, the user can create or import CAD 3D geometry models and convert them into MC program input files corresponding to the geometry through the program. To verify the effectiveness of the MOSRT program model conversion function, the NEA published benchmark example C5G7 model and the critical experimental device model were used for geometric verification. The results show that the MOSRT program developed based on the method of this paper can accurately convert the CAD 3D geometric model into the corresponding MC program calculation model, which verifies the correctness and reliability of the methods and program of this paper.

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modeling and simulation of Vibro-isolator Rapid Prototyping using additive manufacturing 26

Modeling and simulation of Vibro-isolator Rapid Prototyping ...

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26th international conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2022

作者： Knitter, Remigiusz Blazejewski, Andrzej Królikowski, Tomasz Faculty of Mechanical Engineering Koszalin University of Technology Koszalin75-453 Poland

The emerging concept of mechanical meta-materials has gained increasing attention in recent years, partly due to advances in additive manufacturing techniques (additive manufacturing, 3D printing) that have allowed the fabrication of materials with arbitrarily complex micro/nanostructures. The designed geometry of these structures gives rise to unprecedented or rare mechanical properties that can used to create advanced elements with new, unprecedented functions. This paper presents the method of prototyping a vibro-isolator made of a material that has the properties of storing and disposing of mechanical vibration energy and that can freely be shaped by modern manufacturing techniques. An example of a vibration isolator of the proprietary concept analyzed, using the concept of stepped and adding elements. The method is based on the use of two main tools. Mechanical properties verified by analyzing the frequency and mode of free vibrations of the prototype using the finite element method. The same CAD model of the vibro-isolator prototype produced by 3D printing. The paper presents one of the production techniques, which is 3D printing in SLS (Selective Laser Sintering) technology, and the SolidWorks and Comsol Multhiphysics software used in the CAD/CAE prototyping method. © 2022 The Authors. Published by Elsevier B.V.

关键词： Rapid prototyping

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Detection of Objects Using a Fast R-CNN-Based Approach

Detection of Objects Using a Fast R-CNN-Based Approach

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international conference on modeling, simulation and Optimization, CoMSO 2021

作者： Dutta, Amlan Atik, Ahmad Bhadra, Mriganka Pal, Abhijit Khan, Md Akram Chakraborty, Rupak Department of Computer Science and Engineering Guru Nanak Institute of Technology Kolkata India

ISBN: (纸本)9789811908354

Object detection stands as the current interest in locating the objects. Reducing the run time of the algorithms holds a challenge in this field. Deep convolutional neural network (CNN) like SPPnet, Fast R-CNN, etc. had been effectively proposed to reduce the execution time. Encouraged by these networks, a Region Program Network (RPN) has been proposed here to portray features of images with less computational cost and time. This network is capable of predicting the bounds of an object and generates scores at each position. In the proposed network, Fast R-CNN is also integrated with RPN so that exceptional region programs can be generated and entire network can easily understand which area should be focused. The proposed network has been tested on MS COCO, PASCAL VOC 2007, 2012 datasets. Results infer that the proposed RPN along with Fast R-CNN outperforms some popular models like deep VGG-16 (Du in Journal of Physics 1004(012029):1–9 2018), ImageNet, YOLO, etc. in terms of all the accuracy parameters. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Convolutional neural networks

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Research on computer Multimedia Software Graphics and Image Processing and Analysis System in Colleges 7

Research on Computer Multimedia Software Graphics and Image ...

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2020 7th international conference on computer-Aided Design, Manufacturing, modeling and simulation, CDMMS 2020

作者： Na, Bao Qujing Normal University Yunan655011 China

With the development of computer software and hardware technology in colleges and universities, the application of multimedia computers has become increasingly widespread. Graphics and image processing occupy a major position in the application of multimedia computers in colleges and universities. Image display is the basis of image processing. The key of special effect display is to divide the image into different image area blocks. The usual image special effect display method is to divide the image into different image blocks according to certain rules. Based on the analysis of the principle of image special effects display, this paper proposes a template-based image special effects display method. Experimental results show that compared with traditional interpolation algorithms, such as bilinear interpolation and bicubic polynomial interpolation, this algorithm has better interpolation effects and overcomes the speckle interference in single wavelet interpolation. © Published under licence by IOP Publishing Ltd.

关键词： Interpolation

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modeling and simulation Analysis of Multi-modal and Multidimensional Insect Ecological Network Intelligence System

Modeling and Simulation Analysis of Multi-modal and Multidim...

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2021 international conference on Cloud computer, IoT and Intelligence System, CCIIS 2021

作者： Luo, Guilan Liu, Xuan Fang, Lianbiao Hao, Hongjun Li, Zhongmu Zhang, Mei School of Mathematics and Computer Science Dali University Dali671003 China Institute for Astronomy and History of Technology Dali University Dali671003 China

The purpose of this study is to understand the current situation of insect ecological development in the Erhai wetland and explore the key factors to maintaining the stability of the insect ecological network. The research method is based on complex network, through a variety of angles to realize the insect ecological network modeling and simulation analysis, to study the correlation between wetland habitat and insect community. Then, the parameters and definitions of the multi-mode and multi-dimensional insect ecological network models were given. The components of the insect ecological network structure of different regions were analyzed. The results showed that the changes of ecological environment caused by human activities directly affected the changes of dominant insect groups. At last, through the analysis of structural characteristic parameters and correlation of insect ecological network, the conclusion is that species richness and diversity index are important indicators to maintain the stability of insect ecological network structure. © Published under licence by IOP Publishing Ltd.

关键词： Wetlands

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international conference on Applied Sciences ICAS2022

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Journal of Physics: conference Series 2023年第1期2540卷 011001页

作者： Dan, Ludovic LEMLE United States

Banja Luka, Bosnia and Herzegovina, May 25-28, 2022international conference on Applied Sciences ICAS2022 took place in Banja Luka, Bosnia and Herzegovina, in the period May 25–28, 2022, at the University of Banja Luka, with the aims to serve as a platform for exchange of information between various areas of applied sciences, and to promote the communication between the scientists of different nations, countries and *** conference has been focused on several fields of application, operation and influence of the applied sciences and technologies on *** of the conference covers a comprehensive spectrum of issues from:1. Fundamental Sciences: Numerical approximation and analysis, Numerical simulation, Numerical optimization, General statistical methods, Stochastic analysis methods, Analytical and numerical techniques, Finite element methods, Dynamical systems methods, Chemical composition analysis, Energy analysis, Heat transfer, Interdisciplinary applications of physics, Environmental aspects, Effects of pollution, Fuzzy logic, and others…2. computers Engineering: computer modeling and simulation, Algorithms, Software engineering, Artificial intelligence, Neural networks, Image processing, Data acquisition: hardware and software, Data presentation and visualization, Data analysis: algorithms and implementation, Data management, Big Data, Internet and network applications, and others…3. Electrical Engineering: Electrical and electronic instruments and components, Circuits and circuit components, Signal processing electronics, Power electronics, Electric motors, Electric vehicles, Biomass energy, Wind energy, Solar energy, Solar cells (photovoltaics), Conventional hydropower, Hydroturbines, and others…4. Mechanical Engineering: General theory of classical mechanics, Computational methods in classical mechanics, Control of mechanical systems, Dynamics and kinematics of rigid bodies, Mechanical properties of solids, Applied mechanics and design, Defo

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Channel modeling and Generation: Train Generative Networks and Generate 6G Channel Data

Channel Modeling and Generation: Train Generative Networks a...

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international conference on computer and Communications (ICCC)

作者： Zhiyong Liu Zeyu Teng Yong Song Xiaozhou Ye Ye Ouyang Telecom Artificial Intelligence Lab AsiaInfo Technologies (China) Co. Ltd. Beijing China Telecom Artificial Intelligence Lab AsiaInfo Technologies (Guangzhou) Co. Ltd. Guangzhou China

In the upcoming 6G era, with the deployment of massive Multi-input Multi-output (MIMO) systems, collecting and capturing 6G channel data through traditional channel modeling methods is very expensive. In addition, wireless communication carriers continuously propose and use artificial intelligence (AI) and deep learning (DL) based wireless communication solutions. Implementing such AI and DL based solutions requires a certain amount of high-quality channel data as a prerequisite. Traditional channel modeling methods cannot meet the requirements of simulating or collecting channel data rapidly and efficiently. In this paper, a generative network for channel modeling and signal generation, two data augmentation methods and a training technique are proposed. In short, this paper covers how to improve the performance of generative networks and how to generate high quality data with the premise that a large amount of channel samples are limited. Finally, the experimental results show that our proposed network could effectively and quickly generate 6G channel data by achieving the highest final score on both simple and complex testset. And the simulation results show that the generated data by our proposed structure has consistent normalized power with the real data. And the generated data can support a wide variety of AI-based wireless communication tasks.

关键词： 6G mobile communication Wireless communication Training simulation Training data Power distribution Data models

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An Improved Schema of Brain-computer Interface Based on Motor Imagery with Eye Movement 4

An Improved Schema of Brain-computer Interface Based on Moto...

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2021 4th international conference on modeling, simulation and Optimization Technologies and Applications, MSOTA 2021

作者： Yu, Hao Deng, Yifei Yan, Fuwu Guan, Zhizhou Peng, Fuming Hubei Key Laboratory of Advanced Technology for Automotive Components Wuhan University of Technology Wuhan China Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory Foshan China Hubei Collaborative Innovation Center for Automotive Components Technology Wuhan University of Technology Wuhan China Hubei Research Center for New Energy & Intelligent Connected Vehicle Wuhan University of Technology Wuhan China

Motor imagery (MI) can induce electroencephalogram (EEG) and realize human-computer interaction, but this kind of interaction has poor robustness and low stability. To solve these problems, we improved MI paradigms with eye movement and proposed convolutional neural network classification models based on attention mechanism. We conducted a comparative study to evaluate the performance of MI with different eye movement patterns, i.e. smooth pursuit MI (PMI), saccade MI (SMI) and pure MI. The differences between Squeeze-Excitation (SE) module and Convolutional Block Attention Module (CBAM) module were also explored. The results of power spectral density (PSD) showed that PMI paradigm induced the most significant event-related desynchronization (ERD) phenomenon and the average classification accuracy for PMI signals was also the best in the three paradigms. The combined EEGNet and SE framework achieved an average classification accuracy of 90.77%, which performed better than the model without attention module. PMI can optimize attention allocation of subjects, assist in the construction of motion thinking, and improve the quality of MI signals. EEGNet with SE module showed improved classification performance. © Published under licence by IOP Publishing Ltd.

关键词： Eye movements

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Optimizing Mobility IoT Device Networks with Dynamic RIS in mMIMO-Cooperative NOMA 6G Systems

Optimizing Mobility IoT Device Networks with Dynamic RIS in ...

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Emerging Technologies for Dependable Internet of Things (ICETI), international conference on

作者： Khalil Hassan Mohamed Hassan Khalid Hamid Elmuntaser Hassan Rania A. Mokhtar Mamoon M. Saeed Dept. of Comm. Systems Uni. of Science & Technology Omdurman Sudan Dept. of Electrical Eng Omdurman Islamic Uni. Omdurman Sudan Dept. of Computer Science Al-Neelain University Khartoum Sudan Department of Computer Engineering Taif University Taif KSA Department of Communications and Electronics Engineering Faculty of Engineering University of Modern Sciences (UMS) Yemen

ISBN: (数字)9798331533557

ISBN: (纸本)9798331533564

Advanced technologies like reconfigurable intelligent surfaces (RISs), massive multiple-input multiple-output (mMIMO), and non-orthogonal multiple access (NOMA) are crucial for the upcoming 6G communications landscape, particularly for IoT applications. This study uniquely explores the effects of RIS dynamics on the performance of mMIMO downlink (DL) cooperative NOMA systems in dense IoT environments. It introduces a novel methodology for modeling dynamic traffic distribution and integrating RIS, focusing on key performance metrics such as network capacity, spectral efficiency (SE), latency, and energy efficiency (EE). Various scenarios are evaluated, considering different distributions of IoT devices and signal-to-noise ratios (SNRs). Using simulation software, the research analyzes performance under unstable channel conditions with varying device distances, speeds, and power locations, employing 256-QAM modulation and successive interference cancellation (SIC). The results demonstrate that dynamic RIS significantly enhances capacity, spectrum efficiency, latency, and EE, paving the way for optimized IoT network architecture in future wireless systems.

关键词： 6G mobile communication Wireless communication NOMA Interference cancellation System performance Reconfigurable intelligent surfaces Network architecture Dynamic scheduling Internet of Things Resource management

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Data Storage and Sharing Scheme Based on Hyperledger Fabric

Data Storage and Sharing Scheme Based on Hyperledger Fabric

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Computational modeling, simulation and Data Analysis (CMSDA), international conference on

作者： Jintao Zhang Bin Song Yong Zhou Yi Pan School of Computer Information Engineering Jiangxi Normal University Jiangxi China School of Transportation and Logistics Engineering Wuhan University of Technology Hubei China

As academic research becomes more and more international, close cooperation between different research institutions has become a key factor in promoting the development of science and technology. Research teams and institutions in different countries urgently need an effective and secure online platform for collaboration and data sharing. To solve the above problems, this paper proposes a scientific research data storage and sharing scheme based on Hyperledger Fabric, which combines blockchain technology with interplanetary file system and effectively relieves the storage pressure of blockchain network. The multi-channel architecture is designed to protect scientific research data based on physical isolation of different channel ledger data. In addition, through proxy re-encryption, a fine-grained permission control scheme for user data is designed and implemented. The data receiver can decrypt the ciphertext without obtaining the key of the sender. In this way, the private key and plaintext of the sender are not leaked during data sharing, which improves data privacy and achieves data sharing. Finally, Docker technology was used to build a test environment, and the system was tested for function and performance, which verified the feasibility of the scheme system.

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