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international conference for Convergence of Technology (I2CT)

作者： Chandrashekhar Pomu Chä van Srinivas Talabattula Department of Computer Science and Engineering PES University Bangalore India Applied Photonics Lab Electrical Communication Engineering Indian Institute of Science Bangalore India

In this paper, we designed and developed ECA (Event Condition Action) scheme based novel Improved AODV Position and Speed Aware Routing (ECA-IAODV-PSAR) and Improved AODV Edge Connectivity (ECA-IAODV-EC) routing protocols. In specific, these two routing protocols use the speed and position information of the node received from the Global Positioning System (GPS) to deal with routing control packet overhead during inflated mobility. The primary routing protocol ECA-IAODV-PSAR is an alteration of the PSAR routing protocol. The ECA-IAODV-PSAR protocol set limits flooding of the route query packet to the tiny zone of the ubiquitous network to select the optimal route towards the ultimate destination. The results produced in the simulation demonstrate the feasibility of the scheme proposed.

关键词： conferences Computational modeling Routing Routing protocols Low latency communication Standards Global Positioning System

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A new dynamic multi-objective evolutionary algorithm using heuristic strategies

A new dynamic multi-objective evolutionary algorithm using h...

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international conference on Computational Intelligence and Security

作者： Hongtao Gao Erping Song Hua Ran School of Computer Science and Technology Qinghai Normal University Xining China School of Mathematics and Physics Qinghai University Xining China School of Mathematics and Statistics Qinghai Normal University Xining China

Dynamic multi-objective optimization is always one of the hardest optimization issues, since the problem accumulates computational complex of both dynamic optimization and multi-objective optimization, and one has to provide a series of Pareto solution sets with the change of the time. In this paper, a new dynamic multi-objective optimization approach is developed by using heuristic strategies. First of all, an evaluation method of individuals is designed, which is utilized to choose some high-quality points for heuristic search procedure. In addition, these high-quality points, as heuristic information, are used to predict the location of initial individuals at the next moment once the environment changes. simulation experiment is executed and the computational results show the proposed algorithm is feasible and efficient when compared with some state-of-the-art approaches.

关键词： Heuristic algorithms Computational modeling Evolutionary computation Prediction algorithms Computational efficiency Security Optimization

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Matlab/Simulink Based modeling and simulation of Fuzzy PI Control for PMSM 3

Matlab/Simulink Based Modeling and Simulation of Fuzzy PI Co...

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3rd international conference on Mechatronics and Intelligent Robotics (ICMIR)

作者： Gu, DaWei Yao, Yao Zhang, Deng Ming Cui, Ye Bing Zeng, Fan Quan Shanghai Aerosp Control Technol Inst Shanghai 201109 Peoples R China Shanghai Engn Res Ctr Servo Syst Shanghai 201109 Peoples R China

According to the disadvantages of PID control, this paper aims at applying fuzzy control in FOC control of PMSM. The controller automatically adjusts the two parameters of the PI controller based on changes in (e) and (ec). The simulation result shows that more dynamic and steady-state can be obtained by using fuzzy PI control. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： PI control fuzzy control FOC PMSM

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Refining a Parameter Setting Evolutionary Approach for Fire Spreading Models Based on Cellular Automata

Refining a Parameter Setting Evolutionary Approach for Fire ...

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international conference on Computational Science and Computational Intelligence (CSCI)

作者： Maria Eugênia A. Ferreira Danielli A. Lima Luiz G. A. Martins Gina M. B. Oliveira Computer Faculty (FACOM) Federal University of Uberlândia (UFU) Campus Santa Mônica Uberlândia MG Brazil Information Technology Department (DTI) Laboratory of Intelligence Computational and Robotics (LICRo) Federal Institute of Triângulo Mineiro (IFTM) Campus Patrocínio Patrocínio MG Brazil

Forest fires have increased significantly due to climate change affecting diverse biomes. Fire propagation modeling is essential in preventing and controlling the damage caused by this phenomenon. Cellular automata were demonstrated to be effective when constructing such models. However, adjusting the many parameters involved in these models is a complex task. Recently, an evolutionary approach to parameter adjustments of a fire simulation model based on CA has been proposed. This paper aims to continue this study by refining the method. Different experiments were carried out to analyze the sensitivity of the evolutionary approach to parameter adjustment, including the generation of bases from other models and the inclusion of heterogeneous vegetation.

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Noisy Intermediate Scale Quantum computers: on the Co-simulation of Qubits and Control Electronics 27

Noisy Intermediate Scale Quantum Computers: on the Co-Simula...

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27th IEEE international conference on Electronics, Circuits and Systems (IEEE ICECS)

作者： Blokhina, Elena Bizzarri, Federico Giounanlis, Panagiotis Leipold, Dirk Brambilla, Angelo Univ Coll Dublin Sch Elect & Elect Engn Dublin Ireland Equall Labs Fremont CA 94536 USA Nova UCD Belfield Innovat Pk Dublin Ireland Politecn Milan DEIB Piazza Leonardo Vinci 32 I-20133 Milan Italy

ISBN: (纸本)9781728160443

In this paper, we discuss the challenges in modeling of Noisy Intermediate Scale Quantum computers, in particular, those implementations that rely on integrated interface and control electronics. We begin with an overview of the current state of quantum computers and highlight the emergence of quantum engineering and its relation to electrical and electronic engineering. We then discuss qubit modeling and existing solutions. The particular example we focus on in this paper is related to semiconductor CMOS charge qubits. For this reason, we overview the physical models and equivalent circuit model of this type of qubits.

关键词： Semiconductor qubits charge qubit numerical simulations quantum computer qubit modeling equivalent circuit models

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A cover hole repair method based on improved k-means and genetic algorithm

A cover hole repair method based on improved k-means and gen...

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international conference on Intelligent Transportation, Big Data & Smart City (ICITBS)

作者： Pingzhang Gou Xianchao Sun College of Computer Science and Engineering Northwest Normal University Lanzhou China

Aiming at the problem that the uncertainty of the location of virtual repair nodes in Wireless Sensor Networks (WSNs) changes the topology of the network and causes the network to lose connectivity, a coverage hole repair optimization method based on improved k-means genetic algorithm is proposed. Firstly, use the hole modeling analysis to determine the position of the virtual repair node, and cluster the sensor nodes in the hole area according to the improved k-means algorithm. Secondly, use the improved genetic algorithm to find the shortest path in each cluster in parallel. Finally, the minimum distance principle is used to integrate each cluster into a whole, and the shortest path in the cavity area is found, and the sensing data in the cavity area is transmitted and communicated along the path within a certain period of time. The simulation results show that it is feasible to apply the improved k-means genetic algorithm to the coverage hole repair. Through multiple iterations of the algorithm, the shortest path between repair nodes in the hole can be found to achieve network connectivity, save node energy, and extend the network life cycle.

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Application Research on computer Aided simulation of Coastal Wetland Topography and Seawater Inundation Range 1

Application Research on Computer Aided Simulation of Coastal...

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1st international conference on computer Applied Science and Information Technology, ICCASIT 2020

作者： He, Xiaxuan Xiang, Shunzi Luo, Hanzeng Guangdong Urban and Rural Planning and Design Institute 510000 China Guangzhou Urban Planning and Design Survey Research Institute China

The computer-aided simulation of terrain optimization scheme can effectively solve the analysis problem of coastal wetland terrain and seawater inundation. The construction of three-dimensional model uses the traditional polygon-based method, which has great expression in terrain complexity and flexibility The limitations of voxel-based terrain production methods have brought various innovative ways to improve the quality of the 3D world scene while saving costs. A large part of the success of simulation technology now comes from the highly realistic 3D virtual world, which makes people immersed. And the application based on computer modeling can well meet the requirements of high-quality scenes. With the development and maturity of computer modeling technology, we are left with both opportunities and challenges. This article analyzes them. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Topography

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Influence of Fluid Effect on Virtual simulation of Otolith Movement 3

Influence of Fluid Effect on Virtual Simulation of Otolith M...

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2021 3rd international conference on computer modeling, simulation and Algorithm, CMSA 2021

作者： Kong, Lingyi Wu, Jun Feng, Mingjie Liu, Zhaobang Yang, Xiaoguo Department of Neurology Wenzhou People's Hospital Third Affliated Hospital of Shanghai University Zhejiang Wenzhou China Department of College of Information Engineering Yangzhou University Jiangsu Yangzhou China Department of Medical Imaging Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences Jiangsu Suzhou China

More and more physics engines are used to simulate the dynamics between two rigid bodies. However, it is still unknown whether physics engine is suitable for computing the physical information of objects with fluid effect, such as the trajectory and collision dynamics of otolith in semicircular canal in benign paroxysmal postural vertigo (BPPV). The purpose of this study is to determine whether the fluid effect in Bullet physics engine has an impact on the movement data of otoliths in semicircular canal. Based on the experimental data obtained previously, we discuss the position and trajectory of the otolith when it falls in the Dix-Hallpike test. Root Mean Square Error (RMSE) is used to evaluate the static position of otolith under two conditions, and the RMSE is 0.716. We found that the initial position of otolith is affected by fluid effects, but the final static position and trajectory of otolith is similar (x=-5.838±0.294, y=19.348±0.143, z=-9.540±0.635). The experimental results show that the fluid effect does not affect the experimental results of the Dix-Hallpike test, and it has sufficient applicability for the evaluation of BPPV diagnostic methods. © Published under licence by IOP Publishing Ltd.

关键词： Trajectories

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Interpolatory Catmull-Clark volumetric subdivision over unstructured hexahedral meshes for modeling and simulation applications

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computer AIDED GEOMETRIC DESIGN 2020年 80卷 101867-101867页

作者： Xie, Jin Xu, Jinlan Dong, Zhenyu Xu, Gang Deng, Chongyang Mourrain, Bernard Zhang, Yongjie Jessica Hangzhou Dianzi Univ Sch Comp Sci & Technol Hangzhou Peoples R China Hangzhou Dianzi Univ Coll Sci Hangzhou Peoples R China INRIA Sophia Antipolis Aromath Sophia Antipolis France Carnegie Mellon Univ Dept Mech Engn Pittsburgh PA 15213 USA

Volumetric modeling is an important topic for material modeling and isogeometric simulation. In this paper, two kinds of interpolatory Catmull-Clark volumetric subdivision approaches over unstructured hexahedral meshes are proposed based on the limit point formula of Catmull-Clark subdivision volume. The basic idea of the first method is to construct a new control lattice, whose limit volume by the Catmull-Clark subdivision scheme interpolates vertices of the original hexahedral mesh. The new control lattice is derived by the local push-back operation from one Catmull-Clark subdivision step with modified geometric rules. This interpolating method is simple and efficient, and several shape parameters are involved in adjusting the shape of the limit volume. The second method is based on progressive-iterative approximation using limit point formula. At each iteration step, we progressively modify vertices of an original hexahedral mesh to generate a new control lattice whose limit volume interpolates all vertices in the original hexahedral mesh. The convergence proof of the iterative process is also given. The interpolatory subdivision volume has C-2-smoothness at the regular region except around extraordinary vertices and edges. Furthermore, the proposed interpolatory volumetric subdivision methods can be used not only for geometry interpolation, but also for material attribute interpolation in the field of volumetric material modeling. The application of the proposed volumetric subdivision approaches on isogeometric analysis is also given with several examples. (C) 2020 Elsevier B.V. All rights reserved.

关键词： Interpolatory volumetric subdivision Progressive-iterative approximation Volumetric material modeling Isogeometric analysis

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Indoor Space Flow Analysis Based on Deep Learning

Indoor Space Flow Analysis Based on Deep Learning

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international conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Chang Woo Choi Hyo Eun Kang Yoon Young Hong Yong Su Kim Guem Bo Kim Aji Teguh Prihatno Jang Hyun Ji Seung Do Hong Ho Won Kim Dept. of Information and Computer Engineering Pusan National University Busan South Korea Smartm2m Pusan National University Busan South Korea Air Solution R&D Laboratory LG Electronics Changwon South Korea

It is essential to perform flow analysis in all spaces where people live. For example, designing the shape of the wing by analyzing the flow flowing through the wing of an airplane, or finding an appropriate air conditioner installation location by analyzing the flow according to the location of the air conditioner in the indoor space. In this study, we propose a deep learning model that performs real-time flow analysis assuming an indoor space that is relatively smaller than outdoor space. Computational Fluid Dynamics (CFD), a traditional method used for flow analysis, is not suitable for this task because it takes a long time to derive simulation results. Thus, the application of deep learning to flow analysis is considered in the present study because deep learning technology for physics, i.e., fluid mechanics and thermodynamics, can be applied to real spaces. We have constructed a deep learning model based on the TransUnet model that can learn data relationships and capture spatial information. Unlike the existing TransUnet model, our model contains a dense layer to reflect operating and spatial information. train and test data were collected using the ANSYS FLUENT commercial program. On 11 test data cases, the average R2 score between the actual and predicted value was 0.884, and the RMSE was 0.047, which are significant results. We used the image of the entire space as well as a cross-section to see how similar the predicted values were to the actual ones, Although a slight error occurred inside the space, It was confirmed that the flow tendency was accurately learned under the given operating conditions. Flow analysis through simulation based on existing numerical analysis methods requires a minimum of 8 hours for processing. However, our proposed deep learning model significantly reduces the time cost of flow analysis as it requires less than 3 seconds.

关键词： Deep learning Analytical models Solid modeling Three-dimensional displays Fluids Costs Computational fluid dynamics

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