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2021 International Conference on Information technology and Mechanical engineering, ITME 2021

作者： Zhang, Tao Hong, Wang College of Mechanical Engineering and Automation Northeastern University Liaoning Shenyang China College of Applied Technology Shenyang University Liaoning Shenyang China

In recent years, as the number of automobiles in my country has increased year by year, the number of automobile accidents and casualties and the direct economic losses caused by them are very high. How to improve the level of road safety has become an important research content in the field of transportation. Driving a car is a complex activity involving perception, judgment, decision-making and manipulation, and requires the brain to coordinate and guide the driver's driving functions. EEG signals can reflect the driver's psychophysiological state, and then represent the driver's perception activities. The application of EEG data analysis in driving behavior research explains the mechanism of driving behavior from a new perspective of cognitive neuroscience and brings new solutions to traffic safety problems. Driving behavior research is the main research content in the field of road safety. Recognizing and predicting the state of driving behavior is very important for the development of intelligent driving assistance systems and the improvement of road safety. This paper analyzes the EEG data while driving based on big data analysis. Firstly, the literature research method is used to summarize the EEG data analysis process and the research significance, and then the driver’s EEG data is analyzed and researched through simulated driving experiments. The relationship between its parameters and driving behavior. Experimental results show that the front area and buffer area have a strong correlation with all variables of driving behavior, especially the correlation with acceleration and forward time is about 35%. In addition, compared with other driving behavior variables, time zone has the strongest correlation with speed, about 56%. Approximately 46% of the samples are beta waves that are significantly related to driving behavior. In addition, alpha waves account for about 20% of the total number of samples, while the correlation between delta waves and driving beh

关键词： Big data

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All-atomristor logic gates

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Nano Research 2023年第1期16卷 1688-1694页

作者： Shu Wang Zhican Zhou Fengyou Yang Shengyao Chen Qiaoxuan Zhang Wenqi Xiong Yusong Qu Zhongchang Wang Cong Wang Qian Liu CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology&University of Chinese Academy of SciencesBeijing 100190China MOE Key Laboratory of Weak-Light Nonlinear Photonics TEDA Applied Physics InstituteSchool of PhysicsNankai UniversityTianjin 300457China Electrical Automation Department Hebei University of Water Resources and Electric EngineeringCangzhou 061001China School of Physics and Technology Wuhan UniversityWuhan 430072China International Iberian Nanotechnology Laboratory(INL) Braga 4715-330Portugal College of Mathematics and Physics Beijing University of Chemical TechnologyBeijing 100029China

The atomristor(monolayer two-dimensional(2D)-material memristor)is competitive in high-speed logic computing due to its binary feature,lower energy consumption,faster switch response,and so *** to date,all-atomristor logic gates used for logic computing have not been reported due to the poor consistency of different atomristors in ***,by studying band structures and electron transport properties of MoS2 atomristor,a comprehensive memristive mechanism is *** by the simulation results,monolayer MoS2 with moderated defect concentration has been fabricated in the experiment,which can build atomristors with high performance and good *** on this,for the first time,MoS2 all-atomristor logic gates are realized *** a demonstration,a half-adder based on the logic gates and a binary neural network(BNN)based on crossbar arrays are evaluated,indicating the applicability in various logic computing *** to shorter transition time and lower energy consumption,all-atomristor logic gates will open many new opportunities for next-generation logic computing and data processing.

关键词： atomristor logic gates combinational logic circuit neural network defect concentration

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Optical Data Center Implementation within Data Center Networks Context Based on Mininet 2

Optical Data Center Implementation within Data Center Networ...

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2nd International engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023

作者： Abdulmahdi, Esraa Ali Ali, Adnan Hussein Ibrahim, Raed Khalid Al-Askery, Ali Alhamdane, Hayder Jasim Mahmood, Amal Ibrahim Electrical Engineering College Middle Technical University Student at Dept. of Computer Engineering Techniques Baghdad Iraq Institute of Technology Middle Technical University Electrical Techniques Department Baghdad Iraq Al-Farahidi University Department of Medical Instruments Engineering Techniques Baghdad Iraq Electrical Engineering College Middle Technical University Department of Control and Automation Technical Engineering Baghdad Iraq College of Applied Arts Middle Technical University Baghdad Iraq Electrical Engineering College Middle Technical University Dept. of Computer Engineering Techniques Baghdad Iraq

ISBN: (纸本)9798350373363

The technology of reconfigurable optical networks (RONs) is growing to be a promising solution to effectively cater to the rapidly increasing traffic generated by the digital society. Optical technology emerges as a viable alternative because to its capacity to offer a substantial bandwidth, little latency, and enhanced overall performance. Nevertheless, it is imperative to effectively manage the physical resources comprising a data center. This study provides an experimental demonstration of the RONs, which is enhanced by a control plane. The implementation relies on the monitoring of real-time network statistics. This enables the execution of various activities, including as network slice provisioning and reconfiguration, assignment of packet priority classes, and dynamic operations. These actions are performed to ensure the attainment of the desired Quality of Service level. The experimental results show the successfully implementation of RONs using Mininet Emulator and sFlow traffic monitoring technology. The results approve that optical datacenter has minimum delay with low OSNR even with long distance and fast switching time. © 2023 IEEE.

关键词： Optical switches

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Monte Carlo Modeling and Verification of 6 MV Linear Accelerator

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World Journal of engineering and technology 2022年第2期10卷 213-223页

作者： Shixiong Lu Haijun Deng College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China Department of Oncology Sichuan Mianyang 404 Hospital Mianyang China

Purpose: To model the ELEKTA COMPACT accelerator head by using EGSnrc/BEAMnrc/DOSXYZnrc and to validatethe simulation according to the depth-dose and lateral profiles of different radiation fields measured by the water phantom. Methods: IBA Blue Water Phantom2 and CC13 Ionization Chamber were used to measure the depth-dose curves at 10 cm × 10 cm field and profile curves at 10 cm depth underwater. In BEAMnrc, the main components of accelerator head and the initial electron beam are established based on the specifications file, and the phase space file containing the photon beam information is generated. In DOXYZnrc, phase space files were used to irradiate a homogeneous water phantom of the same size as the IBA water phantom, and the simulated percentage depth dose curves and lateral profiles were outputted. The accuracy of the model was evaluated by mean square error (MSE) compared with the measured data. PDD curves are used to determine the energy of the initial electron beam. Dose profile curves are used to adjust the flattening filter. The penumbra on lateral profiles is used to adjust the full-width half-maximum (FWHM) of the electron source. Result: The electron energy of 5.8 MeV was considered the best match after comparing the PDD curves of 5.6 - 6.2 MeV electron beams. The flattening filter can only be adjusted by trial. In the final result, the maximum fluctuation of profile curve within 80% of the maximum field size is less than 3%, which meets the requirements of field flatness. The optimum FWHM for different fields is not consistent due to the Transmission penumbra. But a match can be approached by adjusting the FWHM every 10 cm field size.

关键词： EGSnrc/BEAMnrc/DOSXYZnrc Linear Accelerator Initial Electron Beam PDD Lateral Profiles

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Prediction of temperature for various pressure levels using ANN and multiple linear regression techniques: A case study

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Materials Today: Proceedings 2022年 56卷 194-199页

作者： Jain, Sarika Rathee, Sarita Kumar, Ajay Sambasivam, Anivel Boadh, Rahul Choudhary, Tushar Kumar, Parveen Kumar Singh, Pravin Department of Mathematics Amity School of Applied Sciences Amity University Haryana Gurugram122413 India Department of Electrical Engineering DPG Institute of Technology and Management Haryana Gurgaon122001 India Department of Mechanical Engineering Faculty of Engineering & Technology Shree Guru Gobind Singh Tricentenary University Gurugram122505 India Department of Mechanical Engineering Saveetha Engineering College Thandalam Tamilnadu Chennai602105 India School of Basic and Applied Sciences K R Mangalam University Haryana Gurgaon122103 India PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur482005 India Department of Mechanical Engineering Rawal Institute of Engineering and Technology Haryana Faridabad121004 India Department of Mechanical and Automation Engineering Amity University Jharkhand Ranchi834001 India

In this paper, the estimation capacities of Artificial Neural Network (ANN) and Multiple Linear Regression (MLR) are examined to forecast temperature at two pressure level 400 hPa and 980 hPa approximately over Delhi Safdarjung Airport Station. Different meteorological parameters such as temperature, relative humidity, dew point temperature, mixing ratio, potential temperature has been taken as an input for ANN and MLR models. Statistical bases give us forecasting of temperature by using above mentioned parameters. ANN gives us better results in forecasting temperature as compared to MLR and if compared different techniques of ANN then Multiple layer Artificial Neural Network (MLANN) proved to be best as compared to Single layer Artificial Neural Network (SLANN). © 2022

关键词： Multiple linear regression

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Discrete Boltzmann model with split collision for nonequilibrium reactive flows

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Communications in Theoretical Physics 2024年第8期76卷 164-186页

作者： Chuandong Lin Kai H Luo Huilin Lai Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen UniversityZhuhai 519082China Key Laboratory for Thermal Science and Power Engineering of Ministry of Education Department of Energy and Power EngineeringTsinghua UniversityBeijing 100084China Department of Mechanical Engineering National University of Singapore10 Kent Ridge Crescent119260Singapore Department of Mechanical Engineering University College LondonTorrington PlaceLondon WC1E 7JEUnited Kingdom School of Mathematics and Statistics Key Laboratory of Analytical Mathematics and Applications(Ministry of Education)Fujian Key Laboratory of Analytical Mathematics and Applications(FJKLAMA)Center for Applied Mathematics of Fujian Province(FJNU)Fujian Normal University350117 FuzhouChina

A multi-relaxation-time discrete Boltzmann model(DBM) with split collision is proposed for both subsonic and supersonic compressible reacting flows, where chemical reactions take place among various components. The physical model is based on a unified set of discrete Boltzmann equations that describes the evolution of each chemical species with adjustable acceleration, specific heat ratio, and Prandtl number. On the right-hand side of discrete Boltzmann equations, the collision,force, and reaction terms denote the change rates of distribution functions due to self-and crosscollisions, external forces, and chemical reactions, respectively. The source terms can be calculated in three ways, among which the matrix inversion method possesses the highest physical accuracy and computational efficiency. Through Chapman-Enskog analysis, it is proved that the DBM is consistent with the reactive Navier-Stokes equations, Fick's law and the Stefan-Maxwell diffusion equation in the hydrodynamic limit. Compared with the one-step-relaxation model, the split collision model offers a detailed and precise description of hydrodynamic, thermodynamic, and chemical nonequilibrium effects. Finally, the model is validated by six benchmarks, including multicomponent diffusion, mixture in the force field, Kelvin-Helmholtz instability, flame at constant pressure, opposing chemical reaction, and steady detonation.

关键词： discrete Boltzmann method reactive flow detonation nonequilibrium effect

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Transition Stability Phase Portrait Analysis and Pi-Based Improved Control of Grid-Forming Converter

SSRN

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SSRN 2023年

作者： Xing, Yankai Zhang, Guangdou Yang, Kai Li, Jian Cai, Dongsheng Bamisile, Olusola Huang, Qi University of Electronic Science and Technology of China Chengdu China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China Southwest University of Science and Technology Mianyang China

For power stability requirements, the controller of a converter in renewable power system should not only has ability to face the traditional faults in the grid but also to stabilize with different working modes, i.e., islanding or grid-connected modes. Furthermore, the existence GFM power modulation control loop has been proven as an instability reason when Voltage Source Converter (VSC) transitioning is operated from islanded to grid-connected mode and power flows from the converter to the gird. Since the active power and reactive power modulation loop in GFM have the coupling effect for each other to provide the reference voltage and frequency, which can lead to instability phenomenon in transition process. Thus, the PI-based voltage direct control in power modulation scheme is analyzed by design-oriented to prove its advantage in this application scenario. The advanced approach based on this principle is proposed to taking more dynamics in tuning process in order to obtain more robustness. Deep Reinforcement Learning (DRL) method (DDPG) is selected to accomplish the optimization task. The test results show that the proposed control approach along with its optimal parameters has ability to deal with the transition process to keep stability in low SCR grid and grid fault condition. © 2023, The Authors. All rights reserved.

关键词： Reactive power

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Vibration characteristics of gear system with a cracked-gear tooth: Modeling and experiments 8

Vibration characteristics of gear system with a cracked-gear...

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2022 8th International Forum on Manufacturing technology and engineering Materials, IFEMMT 2022

作者： Zhao, Songtao Ma, Hui Jiang, Yuting Wang, Yaping Fu, Kunkun Tongji University School of Mechanical Engineering Shanghai201804 China Harbin Marine Boiler and Turbine Research Institute Harbin150078 China Northeastern University School of Mechanical Engineering and Automation Shenyang110819 China Harbin University of Science and Technology College of Mechanical Power Engineering Harbin150080 China Tongji University School of Aerospace Engineering and Applied Mechanics Shanghai200092 China

Gear tooth crack failure is a cruel problem in the gear transmission system. The research on the simulation and experiment is the hotpots in the field. The theoretical and experimental investigations on the vibration characteristics of a gear system with a cracked gear tooth are carried out in this study. A finite element (FE) model is built to predict the crack propagation path in a gear tooth and determine the time-varying mesh stiffness (TVMS) of gear pairs. A dynamic model of the gear system is developed using the lumped-mass model. The established models are validated by comparing the computing results with experimental ones. The influences of crack length on TVMS and vibration characteristics of the gear system are analyzed in detail. The proposed methods can provide useful guidance for fault diagnosis and dynamic performance evolution prediction of a gear system. © Published under licence by IOP Publishing Ltd.

关键词： Gear teeth

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The Interaction between Droplets and Vacuum Arc in the Vacuum Interrupters

The Interaction between Droplets and Vacuum Arc in the Vacuu...

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International Conference on Electric Power Equipment - Switching technology (ICEPE-ST)

作者： Ze Yang Dongsheng Cai Tianxiang Chen Qi Huang Lijun Wang College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China School of Information Engineering Southwest University of Science and Technology Mianyang China State Key Laboratory of Electrical Insulation and Power Equipment Xi'an Jiaotong University Xi'an China

ISBN: (数字)9798350388947

ISBN: (纸本)9798350388954

In this research, droplets with a diameter on the order of 100μm are studied. Their movement in the vacuum arc is simulated with the help of dynamic meshing technology. During the movement, the droplets are heated and charged by the vacuum arc. On the other hand, the feedback of droplets to the vacuum arc is also considered, including evaporation process and the ionization process of the droplet vapor. The results show that with the increase of droplet diameter, the temperature increase and the velocity of droplets decrease. The influence of the vacuum arc on the droplets can be determined by the ablation cloud of the droplets. The ionization process of the droplet vapor leads to a lower electron temperature and higher atom density around the droplets.

关键词： Heating systems Hands Clouds Interrupters Ionization Vacuum technology Switches Power systems Evaporation Vacuum arcs

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Oxygenated boron-doped carbon via polymer dehalogenation as an electrocatalyst for high-efficiency O_(2)reduction to H_(2)O_(2)

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Science China Materials 2022年第5期65卷 1276-1284页

作者： Yingna Chang Jiawei Li Jun Ma Yu Liu Rong Xing Yaqun Wang Guoxin Zhang Institute of New Energy on Chemical Storage and Power Sources College of Applied Chemistry and Environmental EngineeringYancheng Teachers UniversityYancheng 224000China Shandong University of Science and Technology Department of Electrical Engineering and AutomationQingdao 266590China College of Chemical Engineering Beijing University of Chemical TechnologyBeijing 100029China

The direct electrochemical synthesis of H_(2)O_(2)from O_(2)is currently the most promising alternative to energyintensive industrial anthraquinone oxidation/reduction methods. However, its widespread use is hampered by the lack of efficient low-cost electrocatalysts. In the current study,oxygenated boron-doped carbon(O-BC) materials were realized via a green synthetic strategy involving polymer dehalogenation and employed as electrode materials for the electrochemical synthesis of H_(2)O_(2)via a 2 e-oxygen *** catalytic activity of the O-BC materials was optimized through systematic variation of the boron source(H_(2)BO_(2))dosage and annealing temperature. Electrochemical measurements revealed that the optimal sample(O-BC-2-650)exhibited a selectivity of 98% for the 2 e-oxygen reduction to H2 O_(2)and an average H_(2)O_(2)production rate of412.8 mmol g_(cat)^(-1) h^(-1)in an H-type alkaline electrolyzer. Density functional theory simulations indicated that the functionalization of active B sites with one oxygen atom provides the lowest Gibbs free energy change(ΔG) of 0.03 e V for the hydrogenation of*O_(2), while functionalization with zero or two O atoms results in much larger ΔG values(0.08 and 0.10 e V,respectively). Thus, this work details a new type of green, lowcost, and metal-free electrocatalyst for H_(2)O_(2)production.

关键词： doped carbon material oxygenated dopant boron oxygen reduction reaction hydrogen peroxide

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