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检索条件"任意字段=International Conference on Computer Modeling and Simulation"

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Mechanical modeling, control and simulation of a quadrotor UAV 2nd

Mechanical modeling, control and simulation of a quadrotor U...

引用

2nd international conference on Electronic Engineering and Renewable Energy, ICEERE 2020

作者： Hassani, Hamid Mansouri, Anass Ahaitouf, Ali Laboratory of Intelligent Systems Geo-Resources and Renewable Energies Faculty of Sciences and Technology Sidi Mohammed Ben Abdellah University Fez Morocco Laboratory of Intelligent Systems Geo-Resources and Renewable Energies School of Applied Sciences Sidi Mohammed Ben Abdellah University Fez Morocco

ISBN: (纸本)9789811562587

This paper presents the development of a quadrotor 3D-Model based on a new approach integrating both the flight controller and the quadrotor CAD-model (computer-aided design). The quadrotor design is performed using CAD modelling environment, then imported to MATLAB Simscape for the design of the control scheme based on the PID (Proportional-Integral-derivative) controller. The effectiveness of the offered flight simulator system is tested using several predefined trajectories and the simulation results of each trajectory emphasize the accuracy of the proposed simulator. © Springer Nature Singapore Pte Ltd. 2021.

关键词： MATLAB

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Urban Dynamic Expansion computer simulation of RF-NH-CA Model Considering Neighborhood Heterogeneity 2

Urban Dynamic Expansion Computer Simulation of RF-NH-CA Mode...

引用

2021 2nd international conference on Applied Physics and Computing, ICAPC 2021

作者： Li, Junyi Liu, Minghao Liu, Tianlin Jing, Lei College of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing China Spatial Information Research Center Chongqing University of Posts and Telecommunications Chongqing China

"Neighborhood" as the principle of "the closer the distance, the more relevant the attributes", is often used as a key driving factor for the urban dynamic modeling of cellular automata;however, the current implementation of the "neighborhood" idea is mostly adopted Mean probability method. This method affects the accuracy of urban dynamic simulation to a certain extent because it ignores the spatial heterogeneity of neighboring cells. Based on the random forest method to evaluate the suitability probability of land use, this study uses the intensity gradient change characteristics of the luminous data to endow the traditional neighborhood cell heterogeneity characteristics, and builds a random forest neighborhood heterogeneity CA model (Random forest Neighborhood Heterogeneity Cellular Automata, RF-NH-CA), and verified the effectiveness of the model by simulating the changes in urban land use in the 21 districts of Chongqing's main city from 2010 to 2017 through a multi-scheme comparative experiment. The results showed that the overall simulation accuracy of the RF-NH-CA model reached 97.59%, and the Kappa coefficient reached 0.7434;compared with the traditional models RF-CA, ANN-CA and Logistic-CA, FoM increased by 0.0274, 0.0383, 0.0579, respectively. The Kappa coefficient increased by 0.0162, 0.0229, 0.0351 respectively. Studies have shown that giving the neighborhood cell heterogeneity through luminous data has played a role in improving the accuracy of land use simulation, which is more in line with the real urban expansion. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Cellular automata

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simulation study on Air Outlet of Data Center

Simulation study on Air Outlet of Data Center

引用

2021 international conference on Advances in Optics and Computational Sciences, ICAOCS 2021

作者： Liu, Fuyi Shandong University of Science and Technology Shandong China

How to reduce the amount of wasted cooling in corridors and gaps is a problem in data center air conditioning design. modeling the data center airflow data and simulating the temperature distribution are the prerequisites and key points to solve this problem. This paper uses the optimal idea to establish a mathematical model to simulate the location of the air conditioning vent. Determine the layout of the computer cabinet based on the analysis of the internal and external environment of the computer cabinet. The external environment analysis is mainly the analysis of several directions: According to the CFD simulation and simulation, the wind speed and tuyere arrangement of the air supply port are compared and the optimal wind speed of the air supply port is obtained. For the problem of the ceiling height and the spacing of the upper air outlet, discuss the method of determining the air supply spacing on the air duct so that the upper air supply can cover all the air inlets of the cabinet to achieve the most reasonable air supply flow. For the numerical simulation and optimization of the airflow organization in the equipment room, it is easy to know that the farther away from the air conditioner, the higher the temperature is relative to the air conditioner, and the wind speed far from the air conditioner is relatively large, so the temperature in the distance is higher. Also, because the hot aisle has no ventilation slots, its temperature must be higher than the cold aisle. Therefore, the temperature in the hot aisle is higher than the ground and the air conditioner is far away. According to the airflow dynamic equation and the K-? turbulence model equation, the Fluent software is used, and combined with the data given in the data center room, the airflow data is simulated. Finally, the best solution for setting the position of the air conditioning air outlet is given. © Published under licence by IOP Publishing Ltd.

关键词： Air conditioning

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PID Tuning of Speed Controller Using Ziegler-Nichols and Manual Method DC Motor

PID Tuning of Speed Controller Using Ziegler-Nichols and Man...

引用

international conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)

作者： Aaron Don M. Africa Jet Orville Q. Chua Josef Lyle H. Solis Department of Electronics and Computer Engineering Gokongwei College of Engineering De La Salle University Manila Malate Manila Philippines

ISBN: (数字)9798350381177

ISBN: (纸本)9798350381184

One of the most used components in the industry is the DC motor and its utilization has been constantly increasing for the relative simplicity of how it can be controlled. These are typically supplemented with PID controllers with the capability for error modeling. With the variety of means to tune DC motors, there has also been a general issue regarding stability and performance as it varies from one application to another. The general objective of the research is to model a DC motor using the the Ziegler-Nichols method of PID controller tuning along with a manual method of fine-tuning with the specific requirements set for an overshoot of at most, 5%, a rise time that is less than 0.01 seconds, and the settling time did not exceed 1.5 seconds. For this specific application, the study shows that among the control types classic, some overshoot, and no overshoot, some overshoot exhibited the best response; but overall, none had been able to satisfy the requirements. With this, manual fine-tuning was conducted to hit those required parameters. simulation results of the PID control of the DC motor with gears showed that the measured values of the system were able to meet the objectives in terms of achieving the behavior of the system that is expected after fine-tuning it manually from Ziegler-Nichols. The results obtained from the simulation had a rise time, settling time, and overshoot of 0.0989, 1.2491, and 4.8104 respectively.

关键词： Industries PI control simulation Manuals DC motors Stability analysis PD control

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modeling and operation domain analysis of wind-photovoltaic-hydrogen coupled energy block system

Modeling and operation domain analysis of wind-photovoltaic-...

引用

2021 international conference on Electrical Engineering and computer Technology, ICEECT 2021

作者： Wang, Wenhe Beijing Tanghao Power Engineering Technology Research Co. Ltd. China

With the rapid development of my country's new energy field, higher requirements have been put forward for the wind-photovoltaic-hydrogen coupled absorption and capacity configuration of the power system. Therefore, the physical nature and regular characteristics of energy conversion, storage, and coupling between wind-photovoltaic-hydrogen multidifferential energy sources are different. This article first starts from the perspective of power/energy supply and demand balance, and comprehensively considers system output, conversion efficiency, energy loss and other factors to establish a wind-photovoltaic-hydrogen coupling system analysis model. Then, according to the relationship between power and time, the system's model operation domain is comprehensively analyzed. Finally, combined with the actual measured data of wind power and load in a certain area, using simulation software, the system's operating domain and spatial flexibility are analyzed, and the validity of the system model constructed in this paper is verified. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： computer software

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Optimization of the Technological Process of Deironing Groundwater in Critical Water Supply Infrastructure of Settlements

Optimization of the Technological Process of Deironing Groun...

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international computer Sciences and Information Technologies (CSIT)

作者： Sergiy Martynov Sergiy Kunytskyi Serhii Shatnyi Nataliia Ivanchuk Olena Galkina Department of Water Supply Water Dispousal and Drilling National University of Water and Environmental Engineering Rivne Ukraine Research Department National University of Water and Environmental Engineering Rivne Ukraine Department of Computer Engineering National University of Water and Environmental Engineering Rivne Ukraine Department of Applied Mathematics and Computer Sciences National University of Water and Environmental Engineering Rivne Ukraine Department of Water Supply Water Dispousal and and Water Treatment O.M. Beketov National University of Urban Economy in Kharkiv Kharkiv Ukraine

ISBN: (纸本)9798350334326

The article examines tower-columns for the drinking water supply of the rural population, proposes methods of their automation, which consists in automatically regulating the performance of pumps by applying the principles of controlling electric drives. The existing automated systems were analyzed and the one proposed in the form of a structural diagram was synthesized, where the main control circuit for regulation is the pressure in the pipeline. The main parameters and transfer functions of the components of the automatic system were mathematically calculated. Based on the above calculations, a simulation model was designed and built in a specialized software complex. By means of modeling and simulation of the process, the transient characteristics are determined and the main quality indicators are determined.

关键词： Purification Pipelines Mathematical models Software Regulation Software reliability Critical infrastructure

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Image Classification by Neural Network on Crossbars with Memristor Defects

Image Classification by Neural Network on Crossbars with Mem...

引用

IEEE Region 8 international conference on Computational Technologies in Electrical and Electronics Engineering, SIBIRCON

作者： Mikhail S. Tarkov Evgeniy A. Yatsko Laboratory of Silicon Material Science Rzhanov Institute of Semiconductor Physics SB RAS Novosibirsk Russia Math-Mechanical Faculty Novosibirsk State University Novosibirsk Russia

ISBN: (纸本)9781665464819

Memristor devices are promising in terms of speeding up and improving the power efficiency of deep learning systems. Crossbar architectures built using memristors can be used to efficiently implement various in-memory computational operations such as multiply-accumulate and convolution, which are widely used in deep and convolutional neural networks. The modeling of image processing by neural networks built on the basis of memristor crossbars is performed. The influence of memristor crossbar defects on the quality of image recognition is studied. The proportions of defective memristors for which memristor neural networks are able to correctly classify images are determined. Dependences of the performance of memristor neural networks on their architectures are revealed: the more layers in the network, the stronger the influence of defects in memristors on the network performance. The time of software simulation of a memristor crossbar operation is estimated. The high resistance of memristor crossbars to defects with a large size of crossbars is noted. It has been established that various models of memristors, both linear and non-linear, behave almost identically within convolutional neural networks.

关键词： Resistance Computational modeling Neural networks Memristors computer architecture Production Reliability engineering

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Assessing Wear out of Tyre using Opencv & Convolutional Neural Networks 1

Assessing Wear out of Tyre using Opencv & Convolutional Neur...

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1st international conference on Applied Mathematics, modeling and simulation in Engineering, AMSE 2021

作者： Reddy, Kishor Kumar C. Anisha, P.R. Mohana, Madana R. Duy Tan University Viet Nam Department of Computer Science and Engineering Bharat Institute of Engineering and Technology Hyderabad India

This work proposes a process to detect the wear and tear of car tires. Tire is the only part of the road that does not interact with the road. The condition of the wheel should therefore be monitored in a timely manner for safe driving. Tired fatigue occurs due to limitations such as that the tread limit is less than 1.6 cm, the damage to the rubber, where there are pipes around 4 to 5, the affected tire. We look at some of the above limitations of tire wear testing using computer viewing techniques such as opencv and convolutional neural networks. Opencv and convolutional neural networks are widely used for object detection and image classification. We used these methods and obtained 90.90% accuracy, with which we can predict tire wear to avoid dangerous accidents.. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Tires

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Logical modeling of Adiabatic Logic Circuits using VHDL 34th

Logical Modeling of Adiabatic Logic Circuits using VHDL

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34th international conference on computer Applications in Industry and Engineering, CAINE 2021

作者： Belfore, Lee A. Old Dominion University NorfolkVA United States

The underlying nature of adiabatic circuits is most accurately characterized at the circuit level as it is for traditional technologies. In order to scale system designs for adiabatic logic technologies, modeling of adiabatic circuits at the logic level is necessary. Logic level models of adiabatic logic circuits can facilitate the design, development, and verification of large scale digital systems that may be infeasible using circuit simulators. Adiabatic logic circuits can be powered with a four stage power clock consisting of idle, charge, hold, and recover stages that provides for adiabatic charging and charge recovery to give adiabatic circuits their low power operation. By both discretizing the temporal aspects of the power clock and the logic values, a logical model of adiabatic circuit operation is proposed. Using the expressive capabilities of Very High Speed Integrated Circuit (VHSIC) Hardware Description Language (VHDL), the salient aspects of adiabatic circuit models can be captured. In this work, a VHDL framework is defined for modeling adiabatic logic circuits & systems and its use is demonstrated in several example adiabatic logic circuits. © 2021, EasyChair. All rights reserved.

关键词： Circuit simulation

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Collaborative filtering recommendation algorithm based on user behavior and drug semantics 7

Collaborative filtering recommendation algorithm based on us...

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

作者： Wang, Ruiyang Li, Tao College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China

When the traditional collaborative filtering algori- thm is applied to drug recommendation, the recommendation effect is not good due to the sparsity of data. In view of the above problems, this paper proposes a collaborative filtering recommendation algorithm based on user behavior and drug semantics (UBDS-CF). Firstly, we construct the purchasing behavior matrix of users and drugs, and use the weighted cosine similarity to calculate the basic similarity between drugs;then construct the category label matrix of drugs, calculate the category similarity, and extract the feature vector of drug function text using the word vector model;category and main function together constitute the drug semantic information;finally, the above two similarities are integrated in a linear weighted manner to obtain the final similarity of drugs. Experimental results show that the average absolute error and root mean square error of the algorithm are significantly reduced, which proves the effectiveness of the proposed algorithm. © Published under licence by IOP Publishing Ltd.

关键词： Semantics

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