Research On Flame Radical Imaging And Extreme Learning Machine To Prediction Of Nox Emissions,
2020
1.School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;;
Research On Flame Radical Imaging And Extreme Learning Machine To Prediction Of Nox Emissions, Xinli Li, Li Nan, Yujia Sun, Lu Gang, Yan Yong, Liu Shi
Journal of System Simulation
Abstract: Flame radicals are crucial for an in-depth understanding of the combustion mechanisms. The spectral characteristics of flame radicals were studied based on digital imaging and feature extraction techniques. The information obtained was used to establish the extreme learning machine (ELM) model which can be used to predict the NOx emissions based on the experimental data and digital simulation from a biomass-gas-air combustion process. The digital images of four flame radicals, i.e., OH*, CN*, CH* and C2*, were collected using an EMCCD (Electron Multiplying Charge Coupled Device) camera. The image segmentation was performed using the fuzzy C-means (FCM) …
Optimal Linear Moment Estimation Method For Gumbel Distribution,
2020
1. Beijing Institute of Applied Meteorology, Beijing 100029, China;;
Optimal Linear Moment Estimation Method For Gumbel Distribution, Yumei Zhai, Ruixing Zhao
Journal of System Simulation
Abstract: Linear moment is one of the important methods to estimate the extreme value distribution function in engineering practice. In order to improve the estimation performance for Gumbel distribution, the estimating results of twelve empirical distribution functions were simulated by using Monte Carlo method. The optimal linear moment estimation method was constructed based on the empirical distribution function with the minimum estimation error, and compared with ordinary moment, traditional linear moment and maximum likelihood method. The study shows that choosing an appropriate empirical distribution function can enhance the estimation accuracy. The optimal empirical distribution function varies depending on the sample …
Application Of Pso-Bp Algorithm In Hydraulic System Fault Diagnosis,
2020
1. Anhui University of Technology, Maanshan 243000, China;;
Application Of Pso-Bp Algorithm In Hydraulic System Fault Diagnosis, Handong Zhang, Liusong Tao
Journal of System Simulation
Abstract: It is of great significance to monitor, forecast and diagnose hydraulic systems’ fault timely and accurately. First, this paper describes the basic fault model theoretical knowledge of BP neural neystem failure neural network modeling has created and simulated. PSO-BP neural network has been raised, this paper has established PSO optimize model of the BP neural system fault diagnosis. BP network has been created and simulated in Plunger pump hydraulic system failure. The correct results indicate that this mixed PSO-BP algorithm is better than the improved BP algorithm, and can meet the requirements of Hydraulic system fault diagnosis.
Harmony Gravitational Search Algorithm For Solving The Problem Of Parameter Estimation For Fractional-Order Chaotic Systems,
2020
Hebei Engineering Research Center of Simulation Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, China;
Harmony Gravitational Search Algorithm For Solving The Problem Of Parameter Estimation For Fractional-Order Chaotic Systems, Huang Yu, Jiarong Wang, Weiping Liang
Journal of System Simulation
Abstract: Aiming at parameter estimation for fractional-order chaotic systems, a harmony gravitational search algorithm was proposed. The particles, which were updated by gravitational search algorithm, were recreated and searched through memory selections and probability search in harmony search algorithm. At the same times, in order to solve the problem that the speed changed too fast when the particles closed to the optimal solution, the partial adjustment probability was set to non-linearly decrease with the adsorption capacity increasing. Standard test functions were used to test the algorithm, and the test results show that the algorithm has good stability and global search …
Hybrid Quantum-Behaved Particle Swarm Optimization For Parameter Identification Of Dfig,
2020
Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi 214122, China;
Hybrid Quantum-Behaved Particle Swarm Optimization For Parameter Identification Of Dfig, Yingying Jiang, Zhicheng Ji
Journal of System Simulation
Abstract: In order to ensure the accuracy of the doubly-fed wind power generator (DFIG) and improve the control performance of the generator, a hybrid quantum-behaved particle swarm optimization for parameter identification was proposed. A parameter identification model of DFIG at coordinate was established. Quantum-behaved particle swarm optimization (QPSO) was improved and then mixed with simulated annealing (SA) algorithm. The proposed algorithm was compared with particle swarm optimization (PSO), QPSO and improved QPSO, which were applied to parameter identification of DFIG in Matlab/Simulink. Simulation results show that the proposed algorithm can improve the identification accuracy of …
General Hils System Research Of Mi-171 Helicopter Autopilot,
2020
1. Army Aviation Equipment Development Office of the Headquarters of the General, Beijing 101100, China;;
General Hils System Research Of Mi-171 Helicopter Autopilot, Renwei Hu, Guo Nan, Kong Xia, Peng Jun, Chuanwei Sun
Journal of System Simulation
Abstract: A general analogous and digital Hardware-In-the-Loop-Simulation (HILS) system was built for AΠ-34Б autopilot of Mi-171 helicopter. Simulator of avionics signals with hybrid interface for both analogous and digital signals was developed. A nonlinear flight dynamics mathematical model was built for Mi-171 helicopter. And on-ground test condition was built for analogous and digital flight control system. Test of on-ground system simulation and aerial flight were done by referring to Flight Test Outline. Results of flight test indicate that all classifications satisfy criteria at once, and the test results of aerial and on-ground are in good concordance …
Chimera Grid Methods Applied In Astronautics Aerodynamic Problems,
2020
Supercomputting Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;
Chimera Grid Methods Applied In Astronautics Aerodynamic Problems, Yuan Wu
Journal of System Simulation
Abstract: Structured chimera grid method has been considered as the most applicable technology to solve aerodynamic problems of multi-component configuration aircraft at current stage. Therefore, by using structured chimera technology and CFD method, two typical aerodynamic problems of conventional tactics missile configuration with rudder deflection were thoroughly investigated: i) a simple and practical linear modification model for micro unsymmetry configuration was proposed which could effectively reduce the range of error and eliminate its skewness properties caused by asymmetric separation vortex, while the traditional method introduced lateral aerodynamic error in data transformation; ii) 3-tunnel linear adding model was investigated and the …
Semi-Naive Bayesian Forecasts Rainfall On Cloud Platform,
2020
1. School of Computer and Software, Nanjing University of Information science and Technology, Nanjing 210044, China;;2. Jiangsu Engineering Center of Network Monitoring, Nanjing University of Information and Technology, Nanjing 210044, China;
Semi-Naive Bayesian Forecasts Rainfall On Cloud Platform, Shengjun Xue, Peiyun Zhang, Jingyi Chen
Journal of System Simulation
Abstract: Rainfall forecast has played an increasingly important role of meteorological services. As cloud platform can improve the efficiency and accuracy of rainfall forecast, it has been applied to forecast rainfall. The recent forecast methods require the independence between all the attributes, but most of the meteorological factors are interdependent, which reduces the accuracy of the prediction. Consequently, a semi-naive Bayesian classification was proposed combined with fuzzy set theory realizing it on cloud platform. At the same time, to improve the accuracy and the efficiency of rainfall forecast, a forecast model was established, which used the historical weather data …
Co-Design Between Robust H∞ Guaranteed Cost Fault-Tolerant And Communication For Nncs Based On Event-Triggered,
2020
College of Electrical and information engineering, Lanzhou University of Technology, Lanzhou 730050, China;
Co-Design Between Robust H∞ Guaranteed Cost Fault-Tolerant And Communication For Nncs Based On Event-Triggered, Li Wei, Kun Yan, Yajie Li
Journal of System Simulation
Abstract: Based on the discrete event-triggered communication scheme (DETCS), the co-design between robust H∞ guaranteed cost fault-tolerant control and communication was studied for uncertain nonlinear networked control system (NNCS) with actuator failures. Firstly, a new closed-loop failure model was established by introducing the DETCS and adopting state feedback control strategy. Then, based on the Lyapunov stability theory and less-conservative technology, the sufficient condition of NNCS with robust H∞ guaranteed cost was derived, which was the time-delay/event-dependent approach, moreover, some optimal co-design methods between the fault tolerant controller and event-triggered weight matrix were given. Furthermore, the co-design problems of …
Lie Group Modeling And Optimal Control Of Underwater Vehicle,
2020
1. School of Mechanical Electronic &Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China;;
Lie Group Modeling And Optimal Control Of Underwater Vehicle, Bai Long, Zhifeng Dong, Xinsheng Ge
Journal of System Simulation
Abstract: The Lie group modeling method and gauss pseudo-spectral energy optimal control of the underwater vehicle are in research. Simplifying the underwater vehicle to be a free rigid body, in view of the possible large attitude angle maneuvering of the underwater vehicle, importing the concept of lie group and lie algebra, combining with the variation method and Lagrange method, the dynamics equation of the rigid body was derived, translating the tradition expression of the hydrodynamic force to obtain the dynamics equation of the underwater vehicle base on the lie group. With the Gauss pseudo-spectral method, the continue space optimal …
Study On Flywheel Automotive-Brake Energy Recovery System,
2020
1. Nanchang University, Mechanical and Electrical Engineering, Nanchang 330031, China;;
Study On Flywheel Automotive-Brake Energy Recovery System, Juhua Huang, Fuzhong Wang, Junping Yang
Journal of System Simulation
Abstract: The generator automotive-braking energy recovery system can only be applied to the new energy vehicles. In order to improve the situation, a kind of flywheel automotive-braking energy recovery system (FAERS) was proposed that could be applied to the traditional vehicles. The structure of the FAERS was designed and its working principle was explained in detail. The working principle of the FAERS and the main structural parameters—the maximum torque of the electromagnetic clutch, the transmission ratio of the energy storage flywheel and the rotational inertia of the energy storage flywheel were simulated in the environment of Matlab-Simulink, which …
Traveling Wave Detection Fault Location Method Based On Src And Lcd,
2020
1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University,Baoding 071003, China;;2. Hebei University of Engineering, Handan 056038, China;
Traveling Wave Detection Fault Location Method Based On Src And Lcd, Yanfeng Gao, Yongli Zhu, Hongyan Yan, Yuanyuan Zhang
Journal of System Simulation
Abstract: The accuracy of fault detection by traveling wave is a key for distance measurement on transmission lines. A new traveling wave detection method was proposed based on SRC (Sampling Rate Conversion) and LCD (Local Characteristic scale Decomposition), which considered quantization error reduction and the signal decomposition. The sampling rate of the current line mode components with fixed sampling rate was converted to realize resampling of reconstructed signal. The local characteristic scale of resampling signal was decomposed and the instantaneous frequency of the first intrinsic scale component was calculated by using Teager energy operator, which identified the moment …
User Interface Design For Mobile Financial Services: Users Perspective,
2020
Kennesaw State University
User Interface Design For Mobile Financial Services: Users Perspective, Belachew U. Regane
African Conference on Information Systems and Technology
Users belonging to different countries have different exposure and perception to trust the technology to adopt it. Users’ trust and adoption rates are challenging issues in mobile financial services. Thus, the purpose of the research is how to design a trustful user interface. Market research is conducted to collect data. Using the data, personas and use cases developed. The result of personas and use cases used to develop prototypes. Prototype A and B designed differently to give choice to users to investigate users' trust. Prototype A is designed to make it easy to use and clear workflow. Whereas prototype B …
Usability And Accessibility Model For E-Government Websites In Ethiopia,
2020
Kennesaw State University
Usability And Accessibility Model For E-Government Websites In Ethiopia, Yoseph Zeleke
African Conference on Information Systems and Technology
The development of websites and portals are main components of the e-Government strategy implementations for the last nine years in Ethiopia. However, services optimizations with usability and accessibility are key issues of Ethiopia e-Government services development.
Therefore, the ultimate goal of this study is creation of usable, accessible and sustainable Ethiopian eGovernment websites with four stage of research analysis, through proposed model. The investigations results are used to provide a clear picture of what needs to be improves from management and user point of views and also from other stakeholders of e-Government services. This study applies mixed methods of data …
A Comprehensive Study For Modern Models: Linking Requirements With Software Architectures,
2020
Kennesaw State University
A Comprehensive Study For Modern Models: Linking Requirements With Software Architectures, Sisay Yemata
African Conference on Information Systems and Technology
Several models recently have been addressed in software engineering for requirements transformation. However, such transformation models have encountered many problems due to the nature of requirements. In the classical transformation modeling, some requirements are discovered to be missing or erroneous at later stages, in addition to major assumptions that may affect the quality of the software. This has created a crucial need for new approaches to requirements transformation. In this paper, a comprehensive study is presented in the main modern models of linking requirements to software architectures. An extensive evaluation is conducted to investigate the capabilities of such modern models …
Artificial Intelligence Towards Future Industrial Opportunities And Challenges,
2020
Kennesaw State University
Artificial Intelligence Towards Future Industrial Opportunities And Challenges, Gizealew Dagnaw
African Conference on Information Systems and Technology
The industry 4.0 will bring reflective changes to our society, including an important digital shift in the manufacturing sector. At present, several manufacturing firms are trying to adopt the practices of industry 4.0 throughout their supply chain. The Fourth Industrial Revolution and the artificial intelligence at its core are fundamentally changing the way we live, work and interact as citizens. The complexity of this transformation may look overwhelming and to many threatening. Recently, the dramatic growth of new generation information technologies has prompted several countries to seek new strategies for industrial revolution. The globalization and the competitiveness are forcing companies …
Efficient Data Mining Algorithm Network Intrusion Detection System For Masked Feature Intrusions,
2020
Kennesaw State University
Efficient Data Mining Algorithm Network Intrusion Detection System For Masked Feature Intrusions, Kassahun Admkie, Kassahun Admkie Tekle
African Conference on Information Systems and Technology
Most researches have been conducted to develop models, algorithms and systems to detect intrusions. However, they are not plausible as intruders began to attack systems by masking their features. While researches continued to various techniques to overcome these challenges, little attention was given to use data mining techniques, for development of intrusion detection. Recently there has been much interest in applying data mining to computer network intrusion detection, specifically as intruders began to cheat by masking some detection features to attack systems. This work is an attempt to propose a model that works based on semi-supervised collective classification algorithm. For …
Energy Conservation And Emissions Reduction Policy Simulation About Energy-Consuming Enterprises,
2020
Sichuan Electric Power Research Institute, Chengdu 610072, China;
Energy Conservation And Emissions Reduction Policy Simulation About Energy-Consuming Enterprises, Yongbo Yang, Chen Ying, Yang Jing, Mingzhong Liu, Zhenchao Jiang, Zeng Rong
Journal of System Simulation
Abstract: Energy conservation and emissions reduction policy have made some achievements, at the same time there are still some problem such as too much administrative command, lack of market mechanism and the lack of price mechanism. The government is both energy conservation leader, supervisor also rule makers. In order to formulate energy conservation policy, they must have overall cognition on energy conservation and emissions reduction. The dynamic relationship between the government, enterprise and environment was analyzed setting up simulation model for key energy-consuming enterprises based on system dynamics. Through the simulation, the influence of different policies for energy conservation …
Sigma Point Kalman Filters For Re-Entry Ballistic Target Tracking,
2020
School of Electronics and Control Engineering, Chang'an University, Xi'an 710064, China;
Sigma Point Kalman Filters For Re-Entry Ballistic Target Tracking, Chunling Wu, Yongfeng Ju, Hu Ping, Chengdong Duan
Journal of System Simulation
Abstract: A new kind of sigma-point Kalman filter was proposed, quadrature Kalman filter(QKF), for the purpose of re-entry ballistic target tracking applications. The new filter linearized the nonlinear functions using statistical linear regression method through a set of Gaussian-Hermite quadrature points that parameterized the Gaussian density. The simulation experiment compared this new sigma point filter with EKF, DDF and UKF. Simulation results show that the estimation errors of all sigma point filters are all lower than that of EKF. The estimation error of QKF is lower than that of UKF, and its filtering credibility is almost same as that of …
Coral Reefs Optimization For Solving Parameter Identification In Permanent Magnet Synchronous Motor,
2020
1. Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;;
Coral Reefs Optimization For Solving Parameter Identification In Permanent Magnet Synchronous Motor, Yawei Quan, Tian Na, Zhicheng Ji, Wang Yan
Journal of System Simulation
Abstract: High accuracy identification of parameters in permanent magnet synchronous motor (PMSM) is the basis of controller design. According to the drawbacks of slow speed, big error, and small number of parameters in classical particle swarm optimization (PSO) and least square method, Coral Reefs Optimization (CRO) was proposed to solve the parameter identification problem in PMSM. In order to improve the identification accuracy, the parameter setting in CRO was adjusted. The mathematical model of PMSM in coordinate system was established, CRO, PSO and RLS were applied to identify parameters in PMSM, and were verified in Matlab/Simulink for comparison. The simulation …
