Simulation Approach To Temperature Measuring Using Image Color Based On Support Vector Regression,
2020
School of Automation, Shenyang Aerospace University, Shenyang 110136, China;
Simulation Approach To Temperature Measuring Using Image Color Based On Support Vector Regression, Ren Yan, Xiaomin Zhou, Guan Wei, Fu Li, Xinyu Chen
Journal of System Simulation
Abstract: As it is all known, it is difficult to measure high temperature directly in complex industrial environment. Thus, a new temperature soft-measuring method based on Support Vector Regression (SVR) was proposed. SVR model was used to fit the complex nonlinear mapping relationship between the feature values of color images of the high temperature object and its temperature. And then the trained model could predict the temperature by inputting the features of colorimages. Simulation results demonstrate that the improved algorithm has excellent generalization ability and predictive ability. What’s more, this model needs less support vectors and learns faster.
On Linear Mmse Based Turbo-Equalization Of Nonlinear Volterra Channels,
2020
1. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment, Nanjing University of Information Science & Technology, Nanjing 210044, China;;2. School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;;
On Linear Mmse Based Turbo-Equalization Of Nonlinear Volterra Channels, Yecai Guo, Weiwei Ma, Zhang Shan, Ruizhi Zhou
Journal of System Simulation
Abstract: Nonlinear intersymbol interference is one of the important factors affecting the satellite channel, and it is very necessary to eliminate and reduce the effect. On the basis of using the Volterra series decomposition to denote the nonlinear channel, linear Minimum Mean Square Error (MMSE) based Volterra channel turbo equalization algorithm was proposed. In this proposed algorithm, after the linear MMSE equalizer and its two approximation algorithms were derived, the proposed linear MMSE based Volterra channel turbo equalization exact and approximate algorithms could not only eliminate the linear and nonlinear intersymbol interference but also reduce the computation complexity. Simulation results …
Failure Risk Identification Model And Simulation Of Supply Chain Under O2o E-Commerce Model,
2020
Business School, Beijing Technology and Business University, Beijing 100048, China;
Failure Risk Identification Model And Simulation Of Supply Chain Under O2o E-Commerce Model, Zhang Hao, Mingkun Wang
Journal of System Simulation
Abstract: With the expansion of Online to Offline (O2O) e-commerce market size, how to effectively prevent the occurrence of supply chain failure risk becomes the key factor to ensure O2O e-commerce market to operate well. The key influencing factors of the supply chain failure risk were analyzed and sorted. Based on causal relationship between various influencing factors, Bayesian network was constructed to analyze crucial factors. The application of triangle fuzzy number was introduced to gather value of conditional probability of Bayesian network. A case study on the failure risk identification model of fresh agricultural product supply chain under O2O model …
Optimal Real-Time Pricing Model Of Smart Grid Based On Markov Decision Process,
2020
College of Management, University of Shanghai for Science and Technology, Shanghai 200093, China;
Optimal Real-Time Pricing Model Of Smart Grid Based On Markov Decision Process, Jiangbo Li, Wang Bo, Gao Yan, Huizhen Zhang
Journal of System Simulation
Abstract: Real-time electricity price strategy is the effective means to save electricity and improve user electricity utility value. A real-time electricity price optimization model based on Markov Decision Process was raised. Using finite horizon method, the model structure the mathematical model which makes the expected utility maximum of supply side and demand side, and optimize the existing electricity utility function according to decreasing risk theory which using logarithmic form can describe the power utility of user more accurate. Particle Swarm Optimization was used to solve this model and make the results compare with the situation of fixed power price, the …
Adaptive Dynamic Programming In Raw Meal Fineness Control Of Vertical Mill Grinding Process Based On Extreme Learning Machine,
2020
Guangxi University, Nanning 530004, China;
Adaptive Dynamic Programming In Raw Meal Fineness Control Of Vertical Mill Grinding Process Based On Extreme Learning Machine, Xiaofeng Lin, Weikai Kong
Journal of System Simulation
Abstract: The grinding process of vertical mill raw meal in cement industry features nonlinear, strong coupling and long time-delay, which is difficult to model precisely and implement stable control for raw meal fineness. Against the problem, a production index prediction model of vertical mill raw meal grinding process was established using Extreme Learning Machine (ELM). Adaptive dynamic programming (ADP) was used to control the raw meal fineness, whose action and critic networks were implemented by online sequential extreme learning machine. In the meaning of simulation, the results show that the proposed method is valid and helpful to reduce the …
Research On Control Strategy Of Switched Reluctance Motor Drive System For Mine Electric Locomotive,
2020
1. Hunan Province Engineering Laboratory of Marine Mineral Resources Exploration Equipment and Technology,Hunan University of Science and Technology, Xiangtan 411201, China;;
Research On Control Strategy Of Switched Reluctance Motor Drive System For Mine Electric Locomotive, Xiaoping Zhang, Yanhong Zhou, Zhang Zhu
Journal of System Simulation
Abstract: Due to simple structure features, low cost, small starting current, large starting torque, and reliability, Switched Reluctance Motor (SRM) are very suitable for application in the mine electric locomotive electric transmission system. The basic structure and working principle of SRM were introduced, considering the working characteristics of mine electric locomotive, direct torque control strategy based on adaptive fuzzy PI control was proposed. Design method of the strategy was elaborated, after which simulation verification of control effect and comparison analysis with traditional methods were conducted. Simulation results show that, the control strategy effectively solves the problem of large torque ripple …
Finite Element Simulation Of Ultrasonic Guided Wave To Detect Through-Type Defects In Pipe,
2020
1. College of Automobile and Mechanical Engineering, Changsha University of Science & Technology, Changsha 410114, China;;2. School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China;
Finite Element Simulation Of Ultrasonic Guided Wave To Detect Through-Type Defects In Pipe, Hongwei Hu, Zexiang Wang, Guangkai Sun, Peng Gang
Journal of System Simulation
Abstract: To get the relationship between the defects and ultrasonic guided wave, the dispersion characteristic of guided wave in pipe was studied. Then the finite element model of a pipe with a through-type defect was established. Taking the axial and circumferential defects with different sizes as research objects, the relationship between the defect location and defect size with the ultrasonic guided wave reflection coefficients was studied, using a control variable method, by finite element simulation. The results show that there is a linear relationship between the circumferential sizes of the defect and the reflection coefficients for through-type defects …
Nacelle Wind Speed Correction Of Wind Turbine Generation Units Based On Wind Speed Measured By Anemometer Tower,
2020
1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;;
Nacelle Wind Speed Correction Of Wind Turbine Generation Units Based On Wind Speed Measured By Anemometer Tower, Gao Feng, Xiyun Yang, Wang Wei, Zhang Lei
Journal of System Simulation
Abstract: In consideration that there are great calculation errors in theoretical correction of nacelle wind speed, the entire range of wind speed was divided according to changes of control strategies for wind turbine generation unit. The nacelle transfer function (NTF) was defined by higher-order polynomial fitting to identify a method for correcting nacelle wind speed based on wind measurements of the anemometer tower. It doesn’t only overcome problems like poor practicability of IEC standards NTF, but also has higher fitting precision than simple linear fitting without intervals. By introducing intermediate intervals, the problem about discontinuous NTF in different sections …
Measuring Principle Research On Fundamental Wave Of Grid Based On Curve Fitting Model,
2020
1. Department of Electron Information Engineer, Loudi College of Vocational & Technical, Loudi 417000, China;;
Measuring Principle Research On Fundamental Wave Of Grid Based On Curve Fitting Model, Liyun Liu, Zhezhao Zeng
Journal of System Simulation
Abstract: Measuring principle of grid fundamental wave based on algebraic polynomial model is proposed. Its main idea is to optimize parameters of algebraic polynomial model so as to accurately fit the power grid fundamental wave signal to be measured based on the recursive least squares (RLS), and then the steepest descent method was adopted to iteratively calculate zeros of the fitting polynomial model, and then fundamental frequency was obtained according to time difference of the adjacent two zeros. Fundamental wave amplitude could be obtained according to the fitting model values corresponding to the middle of the adjacent two zero points. …
Study On Track And Detect Algorithm In Radar Networking Based On Gmphd,
2020
Amy Officer Academy of PLA, Hefei 230031, China;
Study On Track And Detect Algorithm In Radar Networking Based On Gmphd, Wenbo Zhao, Hailong Ding
Journal of System Simulation
Abstract: The states and number of WSNR multi-target are tracked accurately by Gaussian mixture probability hypothesis density algorithm (GMPHDA) application. But tracking result is random set of target states, it doesn't correspond one to one with real targets. And the complete algorithm about corresponding has not been proposed. To get target tracks corresponding with real targets, a suite of algorithm about identifying target tracks is proposed, called track identification algorithm, which contains track distinction, continuance, newborn and restoration. The track identification algorithm improves track and detect algorithm in multi-radar networking. Simulation results show that WSNR multi-target is tracked in multi-radar …
Neural Network Inverse Control For The Output Voltage Of Energy Storage Inverter In Micro-Grid,
2020
Automation Department of North China Electric Power University, Baoding 071003, China;
Neural Network Inverse Control For The Output Voltage Of Energy Storage Inverter In Micro-Grid, Weiliang Liu, Yongjun Lin, Changliang Liu, Wenying Chen, Liangyu Ma
Journal of System Simulation
Abstract: In order to improve the output voltage waveform quality of energy storage inverter in micro-grid, an inverse control method was proposed based on BP neural network. Mathematical model of the energy storage inverter was established, and the main factors affecting the output voltage were analyzed, and then the expansion inverse model of the system was established based on BP neural network. In order to overcome the local optimum disadvantage in BP training algorithm, gravity algorithm was adopted to optimize the network initial parameters. The neural network inverse model was put in series with its original model to form a …
Application Of Improved Particle Filter And Wavelet Packet In Turbine Vibration Diagnosis,
2020
1. School of Electronic and Information, Tongji University, Shanghai 201804, China;;2. College of Automation Engineering,Shanghai University of Electric Power, Shanghai 200090, China;;
Application Of Improved Particle Filter And Wavelet Packet In Turbine Vibration Diagnosis, Xia Fei, Shuotao Hao, Zhang Hao, Daogang Peng
Journal of System Simulation
Abstract: A fault diagnosis method of improved particle filter and wavelet packet analysis was proposed in the application of turbine vibration. There was a sample degradation problem in the re-sampling stage of traditional particle filter. And a re-sampling algorithm which was a weight sorting and the survival of the fittest to obtain the improved particle filter was studied. The signal was filtered by the improved particle filter. Then wavelet packet analysis was used to extract the features from the noise reduction signal. Finally the fault diagnosis results were obtained by using SVM. It is shown that the fault identification rate …
Multimedia Annotation Refinement Based On Contextual Information Diffusion,
2020
School of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China;
Multimedia Annotation Refinement Based On Contextual Information Diffusion, Tian Feng, Fuhua Shang
Journal of System Simulation
Abstract: A data driven multimedia annotation refinement method based on dataset contextual information diffusion was proposed. The label contextual graph was constructed, and the label correlation can be diffused on textual label space; Multimedia object content relevant graph was constructed. Label contextual graph and multimedia object content relevant graph were mutually reinforced and formulated into a regularized framework. The proposed method incorporated both multimedia content correlation and label contextual information, and the optimization process was solved by approximate solution algorithm. The experimental results on real world dataset show that the proposed method can obviously improve the annotation performance.
Friend Recommendation Based On Analysis Of Users’ Emotions And Text Semantics,
2020
Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
Friend Recommendation Based On Analysis Of Users’ Emotions And Text Semantics, Qun Liu, Hongtao Sun, Lianghao Ji
Journal of System Simulation
Abstract: The interests and emotions of users are often varied in their real lives. On the contrary, some other features (such as the profiles) of micro-blog are always unchangeable and they cannot describe the users’ characteristics very well. Then a novel friend recommendation method merged users’ text semantics with emotions was proposed. In the model, in order to compute the similarity of friends, some text content features from users’ micro-blog are extracted and time factor was introduced. Then further consideration on the users' emotional characteristics was taken to compute the users’ similarity through analyzing the emotional words in micro-blog text. …
Scalable Semantic Web Services Architecture Design And Service Discovery,
2020
1. Command College of People's Armed Police, Tianjin 300250, China;;2. Institute of Command Information Systems, PLA University of Science and Technology, Nanjing 210007, China;
Scalable Semantic Web Services Architecture Design And Service Discovery, Xiaoxing Niu, Zhixue Wang, Minggang Yu
Journal of System Simulation
Abstract: With the rapid development of computer and network technologies, the variety and quantity of Web Services on the network is also increasing. How to find the requiring services quickly and accurately becomes increasingly important. In order to solve the problems with traditional Web Services architecture, such as poor scalability and lacking of semantic information, a scalable semantic Web Services architecture was proposed, the architecture could meet the requirements to construct distributed and large-scale systems based on SOA for modern enterprises. Service publication and deletion algorithms of the architecture were studied, and dynamic adjustment algorithms of the architecture was studied …
Wechat Information Dissemination Mechanism And Simulation Research Based On Field Theory,
2020
Beijing University of Technology, School of Economics and Management, Beijing 100124, China;
Wechat Information Dissemination Mechanism And Simulation Research Based On Field Theory, Xiaohong Shan, Panpan Jia, Xiaoyan Liu
Journal of System Simulation
Abstract: As the popular social networking platform, the wechat network has the rapid impact on people's way of life. By analyzing the factors that influence the information dissemination among wechat, constructing the wechat information diffusion field by building three-dimensional coordinate, the information diffusion model was established based on the field theory. The process of information dissemination was simulated from three angles by using Netlogo simulation platform, that is the factors affecting the information dissemination, the original proportion of information source users, and different wechat network structures. Simulation results show that the more similar characteristics of the user, the dissemination results …
Broadband Beamforming Method For Circular Sensor Array,
2020
School of Electronic Engineering Xian Shi You University, Xi’an 710065, China;
Broadband Beamforming Method For Circular Sensor Array, Gan Tian
Journal of System Simulation
Abstract: The beamforming method based on mode decomposition is a kind of very good beamforming method for circular sensor arrays, in order to apply it to the broadband beamforming, An against white noise robust beamforming method was proposed to design an expect beam. The method designed the modal domain robust modal coefficient using the model decomposition method to generate different beam under the different mode circumstances, using second-order cone optimization algorithm gain more reasonable compromise than the other methods in the broadband beam performance, The platform of choice and operation of space were provided according to the demand for …
Arm-Based Real-Time Video Stabilization Enhancement Algorithm,
2020
School of Computer Science, Beijing Institute of Technology, Beijing 100081, China;
Arm-Based Real-Time Video Stabilization Enhancement Algorithm, Xiaoquan Chen, Zhang Lei, Huang Hua
Journal of System Simulation
Abstract: Considering the performance characteristic of ARM processor, an ARM-based real-time video stabilization enhancement algorithm was proposed that identified shakiness of video and implements motion smoothing in the space of geometric transformations. The algorithm identified the shakiness of video with the amplitudes’ change of translation and rotation. Then the optimal path could be obtained by linear interpolation on translational vector and rotational angle. Stable frames were generated by implementing motion compensation of translation and rotation transformations respectively. Because the algorithm used linear interpolation in the space of rigid transformations, it was much faster than the previous algorithms. Moreover, it …
Can Bus Simulation System Based On Opnet,
2020
College of Engineering, Bohai University, Jinzhou 121013, China;
Can Bus Simulation System Based On Opnet, Yantao Liu, Xu Jing, Guiyang Xia, Qin Na
Journal of System Simulation
Abstract: CAN (Controller Area Network) is a typical kind of serial communication protocol. To solve the problem of bus contention, CAN adopts the mechanism of non-destructive bitwise arbitration. In order to realize simulation study on this mechanism, simulation models of Medium Access Control (MAC), process models, node models and network model of CAN were built. End-to-End delay of the simulation network was obtained by simulating these models under the condition of whether there existed a bus contention. The correctness of these models was proved by extensive simulation experiments and rigorous analyses. The models can be used in simulation study …
Online Fragment Culling For Efficient Rendering Of Multi-Fragment Effects,
2020
1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China;;
2. Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing 100190;;
3. University of Chinese Academy of Sciences, Beijing 100049, China;
Online Fragment Culling For Efficient Rendering Of Multi-Fragment Effects, Zhou Guo, Dengming Zhu, Zhaoqi Wang, Wei Yi
Journal of System Simulation
Abstract: Multi-fragment effects such as real-time transparency are rendered by visiting the per-pixel fragments in depth order. The k-buffer algorithm rendered the scene in a single pass to obtain several layers of fragments. The read-modify-write hazard while updating the buffer should be avoided thus the performance was likely to be hit hard. The temporal and spatial coherence among frames were exploited to cull the input fragments in an online manner. A fragment cache based on a semi-heap was proposed. The worst case scenario of the time complexity was analyzed. The reverse reprojection was employed to construct the culling interface …
