Trust Model And Simulation Of E-Commerce Based On Social Networks,
2019
1. School of Information, Beijing Wuzi University, Beijing 101149, China;;2.Beijing Intelligent Logistics System Collaborative Innovation Center, Beijing 101149, China;;3.Beijing key Laboratory of Intelligent Logistics System, Beijing 101149, China;
Trust Model And Simulation Of E-Commerce Based On Social Networks, Yu Zhen, Zhu Jie, Guicheng Shen
Journal of System Simulation
Abstract: In the current e-commerce industry, users need to check for the historical evaluation of the commodity before buying goods mostly, but false recommendations and massive redundancy recommendation problem which widely exists at present seriously affect the effectiveness and accuracy of users’ obtaining recommendations. For getting trust in e-commerce transactions, an e-commerce trust model SNTrust based on social networks is proposed. In SNTrust model, each user maintains a trusted social network set; a topological structure of the user information diffusion in the social network is described in the model, and the recommendation node trust is introduced to measure its credibility, …
Quadrotor Attitude Control Based On An Improved Adrc,
2019
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
Quadrotor Attitude Control Based On An Improved Adrc, Wang Biao, Chaoying Tang, Daqing Kong
Journal of System Simulation
Abstract: An improved attitude control scheme for the quadrotor is proposed based on active disturbance rejection control (ADRC). The attitude dynamics of the quadrotor is modelled and analysed. The influence of actuator characteristics is discussed to establish an extended state observer (ESO). Based on it, the ESO is compensated by the delay unit and its discrete state equations are given. Nonlinear function of previous studies is used to construct nonlinear state error feedback (NLSEF). The simulation results show that the ESO with compensation of the delay unit gets better estimation of disturbance and compensates to disturbance better than the ESO …
Simulation And Experimental Verification Of Grinding Force Based On Different Directions Of Ultrasonic Vibration,
2019
School of Mechanical Engineering, University of Shanghai for Science &Technology, Shanghai 200093, China;
Simulation And Experimental Verification Of Grinding Force Based On Different Directions Of Ultrasonic Vibration, Wang Yan, Qin Chen, Jianguo Liu, Shuiping Peng, Delin Li
Journal of System Simulation
Abstract: The method based on variable angle of ultrasonic vibration assisted grinding was put forward to identify the relationship between direction of ultrasonic vibration and grinding force. The trajectory of grit in contact zone was analyzed. The stress field of contact zone and the grinding force, which were based on the different directions of ultrasonic vibration, were simulated and analyzed by Deform-3D. A series of grinding experiments of GCr15 were conducted. It demonstrates that with the angle α increasing, the grinding force firstly decreased and then increased. The experiment results showed that the error of normal force is 5.23% and …
Modeling And Realization Of Acoustic Signal Separation Simulation System Based On Systemvue,
2019
School of Network security and Informatization, Weinan Normal University, Weinan 714099, China;
Modeling And Realization Of Acoustic Signal Separation Simulation System Based On Systemvue, Xiaorong Tong
Journal of System Simulation
Abstract: Aiming at the practical requirements of blind separation process of acoustic signals, a modeling method of acoustic signals separation simulation system based on SystemVue simulation platform is proposed according to specific mode of signal separation and acoustic sensor network layout in the practical work. It provides a novel signal separation algorithm based on signal single source detection which is the improvement of FastICA algorithm. It also can obtain the source acoustic signals without the information of signal source numbers. The SystemVue software is used to model the net of acoustic sensors, and the target simulation information is generated at …
Air Admission Feature And Discharge Coefficient Of Fixed Conical Valve,
2019
1. College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China;;2. College of Engineering, Hunan Agricultural University, Changsha 410128, China;;
Air Admission Feature And Discharge Coefficient Of Fixed Conical Valve, Chengbiao Tong, Zhixiong Zhou, Qiuxia Yan
Journal of System Simulation
Abstract: The complicated flow pattern is existent in fixed conical valve. When the high speed jet flowing near the diversion cone injects the sudden enlargement area, the severe vortex and evident negative pressure are generated. To reduce or eliminate the negative pressure area, the admission pipe should be installed. For clarifying the air admission and flow rule beyond air admission, a calculation mathematical model is built, the basic law of negative pressure generation and air admission is obtained; CFD is adopted to certify that the admission pipe is efficient to restrain the negative pressure; under air admission condition, the two-phase …
Improved Intelligent Water Drops Algorithm Applied To Power Economic Emission Dispatch,
2019
Department of Computer Science, North China Electric Power University, Baoding 071003, China;
Improved Intelligent Water Drops Algorithm Applied To Power Economic Emission Dispatch, Wenqing Zhao, Zhibu Qin
Journal of System Simulation
Abstract: Multi-objective optimization for power economic emission dispatch aimed at minimizing the economic costs of power generation and gas emissions. To solve the problems of low search performance and easy to fall into local optimal solution with intelligent water drops algorithm for continuous optimization process, an improved intelligent water drops algorithm based on simulated annealing method was introduced. The improved algorithm had a better advantage in the number of iterations and the search for solutions. The proposed approach verified by Matlab simulation was applied to IEEE-30 bus test system with 6 generating units to solve the multi-objective optimization problem of …
Bi-Directional Dc-Dc Converter For Battery Energy Storage,
2019
Department of Electrical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
Bi-Directional Dc-Dc Converter For Battery Energy Storage, Kun Xia, Xinwei Hong, Yuan Yin, Anghui Chen
Journal of System Simulation
Abstract: A topology of non-isolated bi-directional DC-DC converter is proposed. The converter adopts the synchronous rectifier half bridge buck-boost circuit as the foundation using the voltage and current double closed-loop control method to achieve the function of the lithium batteries charging and discharging. The working principles of the DC-DC converter are analyzed under the charging mode, discharging mode and parallel supply mode. The simulation model for the converter circuit is established in Matlab/Simulink circumstance and the system experiment is built. The simulation and experiment verifies the feasibility and the reliability of the converter. The simulation results show that …
In-Cylinder Process Simulation Of Swashplate Revoloving Cylinder Piston Engine Based On Fluid-Structure Interaction,
2019
The 705 Research Institute, China Shipbuilding Industry Corporation, Xi'an 710077, China;
In-Cylinder Process Simulation Of Swashplate Revoloving Cylinder Piston Engine Based On Fluid-Structure Interaction, Li Xin, Chengshi Yang, Peng Bo
Journal of System Simulation
Abstract: Using dynamic mesh technology, In-cylinder working process of the engine is detailedly designed in this article regarding the new swashplate revolving cylinder piston engine. We establish the numeral simulation model of the engine working process based on fluid-structure interaction, the pressure and temperature distribution of the In-cylinder gas in the six thermal process is obtained, and the temperature distribution of the hot end components is presented. The results show that the working process of the engine is reasonably organized. The biggest thermal load appears in the intake flow process. The wall temperature of the gas side is lower …
Numerical Simulation Of Thermal Properties Of Active Phased Array Antenna,
2019
1. China Electronics Technology Group Corporation No.10 Research Institute, Chengdu 610036, China;;
Numerical Simulation Of Thermal Properties Of Active Phased Array Antenna, Wang Yong, Ting Lu, Longwen Wu, Changwu Xiong, Weng Xia, Ping'an Du
Journal of System Simulation
Abstract: The grid priority modeling and multi-level meshing techniques are applied to analyze the thermal properties of the active phased array antenna with the micro/mini channels cooling method for simplifying modeling process, reducing the mesh quantity and saving the cost of computation effectively. The multi-level meshing technique can refine the mesh near the boundary of the complex components significantly without changing the mesh quantity in the model, which improves the mesh’s quality obviously. Through the thermal simulation and experiment measurement of the antenna, the temperature and pressure field are obtained. It is proved that the addressed approach can …
Abnormal Behavior Detection Via Super-Pixels Time Context Feature,
2019
Key Laboratory of Advanced Control Light Process, Jiangnan University, Wuxi 214000, China;
Abnormal Behavior Detection Via Super-Pixels Time Context Feature, Chen Ying, Dandan He
Journal of System Simulation
Abstract: In order to accurately locate the abnormal behavior, an anomaly detection method based on time context features of super-pixels is proposed. For feature representation, the video frames are firstly segmented into super-pixels. The super-pixels of foreground are then selected according to their pixel ratios of foreground. Super-pixels matching adjacent frames are selected based on the gray-level histogram and the information of location to enhance the temporal context of super-pixel features. The statical value of multilayer histogram of optical flow of matched super-pixels are taken as the feature for detection. In the phase of detection, the sparse combination learning algorithm …
An Anti-Occlusion Adaptive Particle Filtering Algorithm,
2019
1. School of Computer Science and Engineering, Changshu Institute of Technology, Changshu 215500, China;;2. Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou 215006, China;;
An Anti-Occlusion Adaptive Particle Filtering Algorithm, Li Ju, Mingwei Cao, Yu Ye, Xia Yu, Lifan Zhou
Journal of System Simulation
Abstract: Considering the influence of local occlusion on particle filter tracking algorithm, an anti occlusion adaptive particle filtering algorithm is proposed. It adopts a rectangle as the tracking window, and uses the K mean clustering algorithm to complete particle clustering in resampling, and then obtains the particle subgroup. It estimates the final state according to particles subgroups, and modifies the tracking window. When the area changes more than 5%, the tracking window maintains the same as the one in last frame. Otherwise, the tracking window will change according to the size of moving object, which is a self-adaptation process. At …
Scenario Computing For Analysis Of Deep Uncertainty Systems,
2019
1. Department of Engineering Physics, Institute of Public Safety, Tsinghua University, Beijing 100084, China; ;
Scenario Computing For Analysis Of Deep Uncertainty Systems, Liu Yi, Gangqiao Wang, Zhipeng Wu, Zhenqiang Fan, Yongqiang Chen
Journal of System Simulation
Abstract: A method of scenario computing is developed for modeling systems with deep uncertainty. The method consists three complementary parts: hybrid modelling, diverse computing, and interactive validation. Hybrid modelling is to dynamically develop models with merging historical knowledges and observed information. Diversity computation is to simulate multiple plausible scenarios about system future. Interactive validation helps scenario computing process being on the right way instead of deviating. Two cases are provided in this paper applying scenario computing, one is earthquake and the other is driving and transportation. The results show good performance of scenario computing method in modeling uncertainty systems.
Mathematical Modeling And Simulation Of Hydraulic Gauge Control System,
2019
1. School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China; ;2. Metallurgical Automation and Detection Technology ERC of Education Ministry, Wuhan University of Science and Technology,Wuhan 430081,China; 3.Equipment Maintenance Plant, WISCO, Wuhan 430080, China;
Mathematical Modeling And Simulation Of Hydraulic Gauge Control System, Weigang Li, Guilin Tao
Journal of System Simulation
Abstract: On the basis of hydraulic valve control cylinder model and combining with the structure and load characteristics of the hydraulic gauge control system (HGC), a “flow linearization” model for HGC was presented and the shortcomings of the model in analyzing the dynamic characteristics of HGC were pointed out. In view of the characteristics of the large load variation range of HGC and according to the principle of “load compensation”, the flow correction coefficient and the related transfer function were analyzed and deduced, and the mathematical model of HGC based on “load compensation” was established. Combined with a practical …
Simple Chaotic Circuit Based On Memristance Function With Real Exponents Power,
2019
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China;
Simple Chaotic Circuit Based On Memristance Function With Real Exponents Power, Xiaohong Zhang, Yanli Qi
Journal of System Simulation
Abstract: The simplest chaotic circuit contains only three circuit elements: a linear passive inductor, a linear passive capacitor and a nonlinear active memristor. In the design of memristors, power of memristance function polynomial with integral exponents is commonly used. On this basis, a general memristor is designed, of which the memristance function polynomial uses power with real exponents, a simple chaotic system is constructed based on the designed memristor. The influence of integral exponents, real exponents and linear parameters on dynamic behaviors is investigated, and chaotic behaviors are analyzed qualitatively using Lyapunov exponents. The Matlab and Multisim simulation results show …
Simulation Research Of Closed Control System For Equipment Operation And Maintenance With Parts Inventory System,
2019
School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China;
Simulation Research Of Closed Control System For Equipment Operation And Maintenance With Parts Inventory System, Li Bing, Wang Xing, Xuan Hua, Xueyuan Wang
Journal of System Simulation
Abstract: The highly reliable equipment operation and maintenance system is very important to enterprise’s safety production. The control system for equipment operation and maintenance with a parts inventory system is generally discussed. The proposed system is composed of a parts inventory subsystem, an equipment operation subsystem and an equipment maintenance subsystem as parallel and series form. And the control system belongs to a multi-level closed loop system. The system is a kind of discrete event dynamic system. So it is difficult to be described with traditional mathematical analysis methods. The multi-class closed control system simulation model is established with Simulink …
Error Estimation For Material Simulation Data Based On Hybrid Learning Algorithm,
2019
1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China; ;2. University of Chinese Academy of Sciences, Beijing 100049, China;
Error Estimation For Material Simulation Data Based On Hybrid Learning Algorithm, Wang Juan, Xiaoyu Yang, Zongguo Wang, Ren Jie, Xushan Zhao
Journal of System Simulation
Abstract: In order to obtain high quality material simulation data from Density Functional Theory material calculation software package, a modeling method based on BP neural network was proposed to build model estimating the error of material simulation data. A novel hybrid algorithm combining simple particle swarm optimization algorithm that excludes speed item with BP algorithm, also referred to tsPSO-BP, was proposed to optimize the connection weights of the BP neural network. The hybrid learning algorithm not only makes use of strong global searching ability of the PSO, but also strong local searching ability of the BP algorithm. The BP …
Research On Fault-Tolerant Flight Control Computer System Based On Dynamic Reconfiguration,
2019
1. Tianjin Key Laboratory of Civil Aircraft Airworthiness and Maintenance, Civil Aviation University of China, Tianjin 300300, China; ;
Research On Fault-Tolerant Flight Control Computer System Based On Dynamic Reconfiguration, Xiaozhe Sun, Zongji Chen, Yongliang Gu
Journal of System Simulation
Abstract: The fault-tolerant Fly-By-Wire flight control systems of four advanced aircrafts of Boeing and Airbus series (B777, B787, A340 and A380) were analyzed and compared. The disadvantages needed to be improved were explored in terms of software reliability and system reconfiguration of Boeing and Airbus Fly-By-Wire flight control systems. A novel redundant fault-tolerant flight control computer (FCC) system was presented. The proposed FCC scheme was qualitatively and quantitatively compared with redundant FCC of Boeing and Airbus. The three schemes' reliability was modelled and evaluated through the hierarchical hybrid modelling method. The conclusions are obtained as follows: the proposed …
Multi-Dimension Proportion-Differential Nonlinear Pilot Model And Simulation Application,
2019
College of Flight Technology, Flight University of China, Guanghan 618307, China;
Multi-Dimension Proportion-Differential Nonlinear Pilot Model And Simulation Application, Weian Jiang
Journal of System Simulation
Abstract: For better simulated study of pilot’s accident avoidance ability and pilot induced oscillation (PIO) characteristic of a man-aircraft close loop system, a method of “physiology-psychology-physiology” is presented to divide pilot models into three parts of input(signal), processing(decision making) and output(action), and a new multi-dimension proportion-differential nonlinear pilot model (MPDNLPM) is presented also. Simulated study is performed by simulated control of an aircraft pitch control model under backside tracking status for carrier landing. Conclusion: 1) The control performance of the man-aircraft system is slightly better than an ideal proportional control. 2) PIO is possible for well-trained pilot. 3) Proper anticipation, …
Simulation Research On Predictive Wavelet Neural Network Intelligent Control System,
2019
1. Information College, Capital University of Economics and Business, Beijing 100070, China; ;
Simulation Research On Predictive Wavelet Neural Network Intelligent Control System, Jingwei Liu, Zhou Rui, Zhao Hui, Minling Zhu, Xianghua Meng, Yuhao Zhang
Journal of System Simulation
Abstract: In order to realize control parameters online tuning and optimizing applications in the high risk and high pollution environment, vector time series prediction based intelligent control methods are proposed, which are combined autoregressive moving average vector time series predictive method and wavelet neural network method. Based on theoretical and comparative research: feasibility, stability, better dynamic characteristics, less steady-state error of the proposed methods are verified. A comparative simulation platform for the above intelligent control system is provided. Stability guarantee method of the above new methods is given.
Hybrid Decoding Algorithm For Low-Density Parity-Check Codes,
2019
Yantai Nanshan University, Yantai 265713, China;
Hybrid Decoding Algorithm For Low-Density Parity-Check Codes, Guowei Qu, Xiaoping Song
Journal of System Simulation
Abstract: A hybrid decoding algorithm for low-density parity-check (LDPC) codes based on the soft-decision iterative decoding method and the erasure decoding method is proposed. If a decoding error is detected when the maximum iteration number of the soft-decision iterative decoding is reached, a decision is made on each bit whether it is zero or one or an erasure according to the cumulative reliability of the bit in the iterative process. Then the decision result is decoded with erasure decoding. Simulation results on random LDPC codes with moderate length indicate that the proposed hybrid decoding algorithm outperforms the traditional soft-decision iterative …
