Evaluation And Analysis Of Land Intensive Utilization Based On Parameters Optimization Of Svm,
2020
1. School of Management, Anhui Jianzhu University, Hefei 230601, China;;
Evaluation And Analysis Of Land Intensive Utilization Based On Parameters Optimization Of Svm, Chen Li, Jiaojiao Li, Shulu Xiao
Journal of System Simulation
Abstract: Based on relevant literature research of evaluation on intensive land-use both at home and abroad, the theory of Support Vector Machine (SVM) and Ant Colony Algorithm (ACO) was discussed. A new method of Correlation Coefficient, the Ant Colony Algorithm and Support Vector Machine (cACO-SVM) was proposed, which analyzed the relevant indicators to determine index set, using ACO, optimization of SVM parameters to draw a good penalty factor C and kernel function sigma and epsilon insensitive coefficient and training SVM, the method improved the training accuracy. Optimization of the land intensive utilization evaluation based on cACO-SVM was put forward, comparing …
Numerical Simulation And Aerodynamic Effect Research For Multi-Warhead Projection,
2020
Supercomputting Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;
Numerical Simulation And Aerodynamic Effect Research For Multi-Warhead Projection, Yuan Wu
Journal of System Simulation
Abstract: In order to study the complex aerodynamic problem in multi-warhead projection, and also establish the practical analysis method for nonlinear aerodynamic characteristics, the separation process was simulated by using CFD technology as well as Monte Carlo method for a statistical research, while effects of the projection condition, multi-body intervene and unsteady characteristic during the separation process were discussed. The present research shows that the main forms of the submunition movement are radial separation and pitching movement; the direction of mass center motion and attitude motion is determined by the projection condition, however the attitude motion is also sensitive to …
Research On Reactor Modeling Simulation Based On Neutron Equivalence Homogeneous Theory,
2020
Department of Automation North China Electric Power University, Beijing 102206, China;
Research On Reactor Modeling Simulation Based On Neutron Equivalence Homogeneous Theory, Ma Jin, Zhibin Liu, Bingshu Wang, Xinhui Duan
Journal of System Simulation
Abstract: A mathematical nuclear CANada Deuterium Uranium (CANDU) reactor steady and transient modelling simulation is built to get the axial thermal power distribution. With a relatively small number of nodes (100-500 nodes) to present the core, based upon two energy group Neutron Diffusion Formulation and a typical spatial discretization, according to equivalence theory and homogeneous method, this is accomplished by properly defining the nuclear properties (absorption and fission cross sections, diffusion coefficient, etc.) characterizing each of the nodes finished. The 390 channels thermal power distribution is calculated under Linux language environment. The thermal power difference is within 5% error with …
Study Of Im Parameter Identification Using Multi-Objective Particle Swarm Optimization With Proportional Guided Strategy,
2020
1. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China;;
Study Of Im Parameter Identification Using Multi-Objective Particle Swarm Optimization With Proportional Guided Strategy, Huang Song, Tian Na, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: A multi-parameter and multi-objective identification model of induction motor was established, and a multi-objective particle swarm optimization based on Pareto set and all personal-best positions guided strategy was proposed and applied to the identification model. Not considerring the weighted coefficient of each objective, Pareto set is able to avoid subjective choice of the coefficients of multi-objective identification and proportion strategy with all personal-best positions guided could balance the learning ability from personal-best positions and global-best position. Having verified the performance on Matlab/Simulink, the results show that the proposed algorithm is able to improve parameter identification accuracy, and has …
Study On Influence Of Community Structure On Opinion Topic Propagation Of Micro-Blog,
2020
1. College of Management, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;;
Study On Influence Of Community Structure On Opinion Topic Propagation Of Micro-Blog, Hengmin Zhu, Hu Wei, Ma Jing, Wei Jing
Journal of System Simulation
Abstract: Micro-blog gathers a large number of users, and community structure is a typical feature of Micro-blog network. In order to explore the influence of community structure on the opinion topic propagation of Micro-blog, users' psychology was analyzed for selecting their followees, and a model for constructing Micro-blog network was proposed which could modify community structure of network with a community factor. Experiments testify the effect of the community factor on micro-blog network structure, and use a SIR model to analyze the influence of different topic source nodes and community factors on the topic propagation of simulated networks. The result …
Simulation Investigation Of Rumor Spreading Model Base On Two-Layer Scale-Free Networks,
2020
1. Business School of Central South University, Changsha 410083, China;;2. Graduate School of Hunan Normal University, Changsha 410081, China;
Simulation Investigation Of Rumor Spreading Model Base On Two-Layer Scale-Free Networks, Zhihua Qin, Yongmei Liu
Journal of System Simulation
Abstract: Relationship network is a carrier of rumor spreading. Separating the media from the relationship network, a two-tier rumor spreading model was proposed based on tunable clustering scale-free network and SIQR spreading model. Meanwhile the rumor spreading rules of the new model were developed. In simulation experiments, the influence associated with the three parameters of the media layer was analyzed by using the Mult-Agent system Netlogo4.0.2. It is found that improving the sensitivity of the media, regulating media ethics and expanding the scope of the media can curb the spread of rumors.
Modeling And Simulation Of Magnetostrictive Impact Drive Mechanism,
2020
1. Jiangxi Province Key Laboratory of Precision Drive And Control, Nanchang Institute of Technology, Nanchang 330099, China;;2. Department of Power Electrical, Hebei University of Technology, Tianjin 220000, China;
Modeling And Simulation Of Magnetostrictive Impact Drive Mechanism, Zhao Ran, Quanguo Lu
Journal of System Simulation
Abstract: A model of magnetostrictive impact drive mechanism (IDM) was built to predict the step size and velocity, in which the dynamical model and the second order non-linear model of magnetostrictive material based on Jiles-Atherton model were considered. The simulation model was developed by utilizing MATLAB /Simulink software, and the data of IDM's displacement and velocity was obtained based on the model. The experimental system was built to testify the given model. The results illustrate that the error between experiment and simulation results are less than 15% within the range of driving current 0.2~0.4A and working frequency 10~100Hz. The …
Simulation And Analysis On Coupled Vibration Of Fracturing Truck Process,
2020
1. College of Mechanical and Electrical Engineering Southwest Petroleum University, Chengdu 610500, China;;
Simulation And Analysis On Coupled Vibration Of Fracturing Truck Process, Chuan Wang, Zhenqiang Xie, Guorong Wang, Shimin Zhang, Hou Wen, Li Jun, Zhou Xu, Chu Fei
Journal of System Simulation
Abstract: In order to study the effect of vibration of engine and fracturing pump on truck body during fracturing operation, lumped parameter method and state space method were used to build multi-body dynamics coupling model between the balanced suspension, tires, engine, fracturing pump and the frame. Based on this model, the MATLAB/Simulink software was applied to simulate the characteristic of rotational speed, stiffness and damping of the 2 500 fracturing truck during fracturing operation. The results show that the maximum intensity of vertical vibration is stronger hundreds times than pitch motion. Vibration frequency range of 0~10 Hz …
Parameters Optimization For Variable Speed And Pitch Controller Of Wind Turbine Based On Bladed,
2020
School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing 102206, China;
Parameters Optimization For Variable Speed And Pitch Controller Of Wind Turbine Based On Bladed, Gao Feng, Wang Wei, Xinmei Ling
Journal of System Simulation
Abstract: Due to nonlinearity and time-varying parameters of wind power system, its controller parameters are hard to be calculated and tuned during the process of design and optimization. The linear model which is suitable for parameters tuning was built through model linearization of Bladed and model reducing-order algorithm. The PI parameter was tuned with the IM-PSO (Immune Memory Particle Swarm Optimization). Moreover, the gain coefficient of optimal torque control and the gain divisor of adaptive PI pitch control conducted optimizing calculation based on the identification parameters of Bladed. A set of optimization method for variable speed and pitch controller …
Decoupling Control Of Poultry Hatching Process Based On Α-Order Neural Network Inverse System,
2020
School of Computer and Information Engineering, Central South University of Forestry & Technology, Changsha 410004, China;
Decoupling Control Of Poultry Hatching Process Based On Α-Order Neural Network Inverse System, Guoxiong Zhou, Junchao Li, Aibin Chen
Journal of System Simulation
Abstract: The poultry hatching process is a complex biological process, in which coupling between temperature, humidity and oxygen concentration is serious, and conventional control methods can not guarantee the stability of three parameters. An α-order inverse system decoupling control method for poultry hatching process was proposed. The three factors were grouped by coupling degree analysis, using α-order neural network inverse system to control the two parameters whose coupling degree is stronger, another parameter would be controlled by fuzzy controller, thus ensuring the stability of the three parameters. The experimental results show the effectiveness of this method.
Performance Evaluation Of Automated Warehouse Based On Markov Chain,
2020
1. Logistics School, Beijing Wuzi University, Beijing 101149, China;;
Performance Evaluation Of Automated Warehouse Based On Markov Chain, Xiangguo Ma, Tongjuan Liu, Wang Li, Rongfen Jiang
Journal of System Simulation
Abstract: It is necessary that the way of evaluating the AS/RS is scientific and feasible. However the majority of existing evaluate methods is static and qualitative, whose analysis results deviation, to a certain extent, from the real data. To support the improvement of the AS/RS use, the performance of AS/RS with a dynamic and quantitative method was analyzed. Specifically, the automated stereoscopic warehouse performance evaluation indicators were established; by using Marco analysis, the mathematical model of performance evaluation was got; based on ARENA software, the feasibility and validity of the mathematical solution model were verified.
Novel Distance Measure Between Intuitionistic Fuzzy Sets,
2020
Air and Missile Defense College of Air Force Engineering University, Xi'an 710051, China;
Novel Distance Measure Between Intuitionistic Fuzzy Sets, Luo Xiao, Weimin Li
Journal of System Simulation
Abstract: Distance measure is a basic and crucial notion of set theory. Since the intuitionistic fuzzy sets (IFSs) were put forward, distance between IFSs has been widely concerned by some researchers and many types of measures have been proposed. Most of them have counter-intuitive cases and ignore the characteristics of three parameter properties of IFSs. The concept of fuzzy distance was introduced, which embodied the characteristics of classical distance and highlights the characteristics of hesitance index simultaneously. A new fuzzy distance measure was proposed, and the corresponding proof was included. An artificial benchmark test set of distance measure was constructed …
A Proactive-Restoration Technique For Sdns,
2020
Technological University Dublin
A Proactive-Restoration Technique For Sdns, Ali Malik, Ruairí De Fréin
Conference papers
Failure incidents result in temporarily preventing the network from delivering services properly. Such a deterioration in services called service unavailability. The traditional fault management techniques, i.e. protection and restoration, are inevitably concerned with service unavailability due to the convergence time that is required to achieve the recovery when a failure occurs. However, with the global view feature of software-defined networking a failure prediction is becoming attainable, which in turn reduces the service interruptions that originated by failures. In this paper, we propose a proactive restoration technique that reconfigure the vulnerable routes which are likely to be affected if the …
Construction Method Of Reconnaissance Assistant Decision Model,
2020
1. Information Operations and Command Training Department, National Defense University, Beijing 100091, China;;2. Bureau Five, Department Three, Strategic Support Force, Beijing 100029, China;;
Construction Method Of Reconnaissance Assistant Decision Model, Guo Rui, Xiaoyuan He, Zhu Feng
Journal of System Simulation
Abstract: The fog of war in modern battlefield information big data generated by the judgment of the battlefield commander had a strong interference, which could increase the difficulty of decision-making. The use of reconnaissance and early warning forces is the beginning of mastering the initiative of the battlefield. Intelligent auxiliary investigation command is to achieve this goal. On the basis of the simulation system field data of a certain operations, through extracting the key information of reconnaissance order, combined with establishing the labels of reconnaissance effect, an auxiliary decision model aimed at reconnaissance and early warning is designed. This model …
Implementation And Application Of Complex System Modeling And Simulation Language Compiler,
2020
1. Beihang University, Beijing 100191, China;;
Implementation And Application Of Complex System Modeling And Simulation Language Compiler, Zhou Wen, Chi Peng, Bohu Li, Song Xiao
Journal of System Simulation
Abstract: Simulation language is a key technology of integrated simulation based design software environment. A difficulty of developing simulation language is the compiler that automatically transfers simulation language Semantics to programming language such as C++. The contents and features of CMSL were introduced. And a compiler which could analyze simulation text written in CMSL was implemented. A decouple method for Discrete System was proposed and integrated in the compiler. The features object-oriented and components oriented of CMSL were verified by an example with its ability to describe discrete system.
Modeling And Dynamic Research Based On Ritz Series For Ball Screw Drive System,
2020
1. AECC Commercial Aircraft Engine Co., LTD, Shanghai 200241, China;;2. Shanghai Engineering Research Center of Civil Aero Engine, Shanghai 200241, China;;3. Institute of Advanced Manufacturing Technology, Hefei Institute of Physical Science, Chinese Academy of Sciences, Changzhou 213164, China;
Modeling And Dynamic Research Based On Ritz Series For Ball Screw Drive System, Rongrong Qian, Minzhou Luo, Jianghai Zhao, Li Tao, Li Lu
Journal of System Simulation
Abstract: To analyze the vibration performance of the ball screw drive system, the finite element model (FEM) of the simplified system by Ansys/Workbench was given to acquire the vibration mode and shape. Based on the vibration shape calculated from FEM, a set of hybrid basis function was used to generate the new Ritz series for building the system motion equation of the axial and torsional vibration. The pitch of the ball screw was considered in the method. A mathematical model which was easy to design the controller was developed. Through the numerical simulation, the modal characteristics and shape of …
Intelligent Sdn Traffic Classification Using Deep Learning: Deep-Sdn,
2020
Technological University Dublin
Intelligent Sdn Traffic Classification Using Deep Learning: Deep-Sdn, Ali Malik, Ruairí De Fréin, Mohammed Al-Zeyadi, Javier Andreu-Perez
Conference papers
Accurate traffic classification is fundamentally important for various network activities such as fine-grained network management and resource utilisation. Port-based approaches, deep packet inspection and machine learning are widely used techniques to classify and analyze network traffic flows. However, over the past several years, the growth of Internet traffic has been explosive due to the greatly increased number of Internet users. Therefore, both port-based and deep packet inspection approaches have become inefficient due to the exponential growth of the Internet applications that incurs high computational cost. The emerging paradigm of software-defined networking has reshaped the network architecture by detaching the control …
Thermal And Electric Load Coupling Analysis And Decoupling Coordinated Control In Heat Supply Units,
2020
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University, Beijing 102206, China;
Thermal And Electric Load Coupling Analysis And Decoupling Coordinated Control In Heat Supply Units, Tuoyu Deng, Tian Liang, Jizhen Liu
Journal of System Simulation
Abstract: Due to large scale wind power integration, heat supply units hardly meet the AGC (automatic generation control) requirement by the existed coordinated control system. It is necessary to analyze coupling characteristics of thermal and electric load thoroughly. A transfer function matrix including characteristics of heat supply part was gained by small deviation linearization of a dynamic unit's model. Coupling characteristics was analyzed based on variable pairings of the existed coordinated control system and decouplers were designed. Relative gain matrix measure and simulation were used to compare the coupling extent before and after decoupling. Simulation experiments show that adding static …
Travel Time Prediction Of Urban Road Based On Deep Learning,
2020
1. Department of Civil Engineering, Tsinghua University, Beijing 100084, China;;2. National Road Traffic Management Engineering Technology Research Center, Beijing 100084, China;;
Travel Time Prediction Of Urban Road Based On Deep Learning, Weiwei Zhang, Ruimin Li, Zhongjiao Xie
Journal of System Simulation
Abstract: Travel time prediction of urban road is a significant support for urban intelligent transportation system. Four types of LSTM neural network architecture were selected to predict the urban road travel time. The number of nodes in the LSTM hidden layer was fixed to determine the optimal input length of the model. The input length of the model was fixed and the predictive performance of the four LSTM models under different hidden layer nodes and considering spatial correlation were tested respectively. The performance of spatial LSTM model was compared with four traditional models, for example, BP neural network. The results …
Image Retrieval Using Weighted Vocabulary Tree With Location Information,
2020
Key Laboratory of Advanced Control Light Process, Jiangnan University, Wuxi 214000, China;
Image Retrieval Using Weighted Vocabulary Tree With Location Information, Chen Ying, Jiayu Guo
Journal of System Simulation
Abstract: Aiming at the positional information ignorance problem in image retrieval based on SIFT feature matching, an image retrieval approach using weighted vocabulary tree based on the spatial location information was proposed. The vocabulary tree is used in the method to quantify SIFT features as the visual words, converting the image match into the visual words' weight vector match. Because only visual words' weight match ignored the mutual position effect, SIFT points' spatial location information was generated, and was classified into the position effect of visual words according to affiliation between SIFT points and visual words. The spatial location information …
