A Review Of Modeling Human Travel And Social Contacts For Public Health Management,
2019
College of Systems Engineering, National University of Defense Technology, Changsha 410073, China;
A Review Of Modeling Human Travel And Social Contacts For Public Health Management, Duan Wei, Guo Gang, Bin Chen, Duan Hong
Journal of System Simulation
Abstract: It is significant to understand the patterns of human mobility and social contacts for epidemic prevention and control. This paper analyses the regularities and the statistical properties of human behaviors at the perspective of human dynamics. Various models of human mobility and social contacts are comparatively investigated , including Brownian movement, random walks, spatial network, Motifs, bipartite graph model, gravity models, contact rate, the distribution of daily contact number, social networks, etc. The models of human behavior changes in the course of epidemic outbreak are also analyzed. The challenges of modeling human mobility and social contacts are discussed …
Survey On Modeling And Simulation Of Internet Public Opinion In China,
2019
College of Politics, National Defense University, Shanghai 200433, China;
Survey On Modeling And Simulation Of Internet Public Opinion In China, Mingxin Zhang
Journal of System Simulation
Abstract: Modeling and Simulation of Internet public opinion can analyze the causes of public opinion and its transmission path, track and predict the trend of public opinion, so as to improve the ability of public opinion guidance for its control departments. This paper reviews and analyses the existing research on Modeling and simulation of Internet public opinion. From the point of view of research directions, the current research covers many directions, mainly including the evolution mechanism of Internet public opinion and the effectiveness of guidance mechanism. From the point of view of research methods, domestic research on Internet public opinion …
Modeling And Simulation Of Coordination Relationship Between Rail And Bus Lines,
2019
1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China; ;2. Key Laboratory of Image Information Processing and Intelligent controlling of Ministry of Education, Wuhan 430074, China;
Modeling And Simulation Of Coordination Relationship Between Rail And Bus Lines, Wang Jian, Danqing Shen, Ziyang Wang
Journal of System Simulation
Abstract: By analyzing the coordination relationship of the collinear edges between the rail lines and the bus lines, the coordination relationship considering the complementation and the competition is defined as the goal of maximizing the utilization rate of resources and capacity matching. After the analysis of the coordination and the competition, the calculation of the coordinated coefficient are presented. Considering the influence of the disruptions on the coordination, an adjustment method of the bus lines is proposed. Taking part of Wuhan City transit network as an example, the results show that the adjusted transit system has a higher degree of …
A Generation Method Of Amf General Files For Heterogeneous Nurbs Volume Parametric Model,
2019
1. College of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; ;
A Generation Method Of Amf General Files For Heterogeneous Nurbs Volume Parametric Model, Chen Long, Wenyu Han, Xu Gang
Journal of System Simulation
Abstract: Aiming at the three-dimensional printing technology of heterogeneous NURBS (Heterogeneous Non-Uniform Rational B-spline, HNURBS) volume parametrization model, a method of generatingthe AMF (Additive Manufacturing File Format) of the three dimensional printing general file is proposed. For the continuous visual expression of material information, theHNURBS volume parametric model is constructed with the control points containing material information which is represented with gray value.According to the subdivision of the NURBS volume parametric model, the HNURBS volume parametric model is subdivided into Isoparametric mesh element. In order to get the triangular mesh for the generation of the AMF files, each …
Track Synthetic Algorithm Based On Modified Fuzzy Theory And D-S Evidence Decision,
2019
1. School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China; ;3. School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;
Track Synthetic Algorithm Based On Modified Fuzzy Theory And D-S Evidence Decision, Zhiwei Wang, Yulan Hu, Shujie Hu, Liu Wei
Journal of System Simulation
Abstract: Aiming at the problems existing in fuzzy reasoning track association, such as the filter divergence, the membership performance degradation, the difficulty in determining association threshold value, and the association effect deterioration under complex circumstances, a track association algorithm based on modified fuzzy theory and D-S Evidence Decision is proposed. Based on the attenuated memory extended Kalman filter (AMEKF), a logarithmic likelihood function adaptive correction method is proposed to correct the disorientation of membership function,and a D-S evidence decision-making tracking association algorithm with conflict resolution and consistent focusing is proposed. The simulation results show that comparing with the original algorithm, …
Research On Topology Mapping Method For Multiscale Integration Network Emulation,
2019
1. School of Digital Media Institute, Jiangnan University, Wuxi 214122, China; ;
Research On Topology Mapping Method For Multiscale Integration Network Emulation, Liu Yuan, Changling Qiu, Xiaofeng Wang, Jiang Min
Journal of System Simulation
Abstract: For large-scale and scalable network emulation requirements, multi-scale integration emulation based on lightweight virtualization and full virtualization is the trend. In order to take into account the advantages of both virtualizations and enhance the performance of network emulation, a topology mapping method (TMMI) is proposed for multi-scale integration network emulation. This method divides the network topology into lightweight virtualization mapping area and integration virtualization mapping area, and according to different mapping areas uses the optimized multi-level partitioning method to map the network topology reasonably. Experiments show that the proposed method can effectively balance the load and communication overhead …
A Hierarchical Integrated Soft Sensing Modeling Method For Gauss Process Regression,
2019
1. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China; ;
A Hierarchical Integrated Soft Sensing Modeling Method For Gauss Process Regression, Zhao Shuai, Xudong Shi, Weili Xiong
Journal of System Simulation
Abstract: Chemical processes are often characterized by nonlinearity and multi-phase, a soft sensor model based on the hierarchical ensemble of Gaussian process regression is proposed. First, the Gaussian mixture model is used to divide the process data into different operation phases. Then, the principal component analysis of each stage is carried out, and the model data are divided into several subspaces, according to the contribution of each auxiliary variable in the principal component space, and the corresponding Gaussian process regression model is built. The subspace model output is fused by means to obtain the first level ensemble output. Finally, the …
Research On Fuzzy Adaptive Somatosensory Algorithm For Flight Simulator,
2019
College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China;
Research On Fuzzy Adaptive Somatosensory Algorithm For Flight Simulator, Wang Hui, Baofeng Zhang
Journal of System Simulation
Abstract: In order to improve the dynamic fidelity of flight simulator and make full use of the working space, the corresponding improvement scheme of the classical washout algorithm is proposed based on the Stewart motion platform. A two-way fuzzy adaptive elution algorithm is proposed.The algorithm is more in line with the sensory model of the human body by combining the two-way filtering algorithm improvement and the one-dimensional fuzzy adaptive adjustment to compensate the displacement of the high-pass acceleration channel according to the fuzzy rule. The results show that the improved two-way fuzzy adaptive filtering algorithm improves the displacement space from …
Study On Ecological Compensation Of Three Gorges Basin Based On Evolutionary Game Theory,
2019
Management College,Chongqing University of Technology, Chongqing 400054, China;
Study On Ecological Compensation Of Three Gorges Basin Based On Evolutionary Game Theory, Guangming Yang, Yanjun Shi
Journal of System Simulation
Abstract: Under the background of the green development of the Yangtze River Economic Belt, based on the evolutionary game theory, the game model of the upstream and downstream governments of the Three Gorges Basin and the central ecological compensation behavior are constructed to analyze the interests appeal and compensation behaviors among the three parties, so as to have a complex interest game relationship in the Yangtze River and analyze the cases of ecological compensation in the Three Gorges Basin. The research shows that without the restriction of central government, it is difficult for the upstream and downstream governments in the …
Research On Vibration Characteristics And Parameters Influence Of A Nonlinear Vibration Absorber,
2019
School of Mechanical and Instrumental Engineering, Xi’an University of Technology, Xi’an 710048, China;
Research On Vibration Characteristics And Parameters Influence Of A Nonlinear Vibration Absorber, Lilan Liu, Bolin Ren, Guodong Zhu
Journal of System Simulation
Abstract: The bistable nonlinear electromagnetic vibration energy harvester (BNEVEH) is used as a vibration absorber to absorb harmful vibration and transfer it into useful electric energy. The mechanical model and governing equation of the main system with BNEVEH are established. The effect of Gauss white noise intensity on large amplitude motion is analyzed by simulations. And the effect law of mass ratio and tuning frequency ratio on the vibration reduction of the main system and power generation of bistable vibration absorber under Gauss white noise excitation is analyzed from the point of vibration reduction and vibration energy harvesting. The optimal …
Low-Complexity Signal Detection Algorithm Based On Pgqsm,
2019
Chongqing Key Lab of Mobile Communications, CQUPT, Chongqing 400065, China;
Low-Complexity Signal Detection Algorithm Based On Pgqsm, Fatang Chen, Yang Kang, Yongli Fu, Mengjie Li
Journal of System Simulation
Abstract: Pre-coding aided Generalized Quadrature Spatial Modulation (PGQSM) uses the known channel state information to perform pre-coding processing on the in-phase and quadrature signals of the quadrature spatial modulation (QSM), so as to reduce the complexity of the receiver for signal detection. At the same time, an improved Pre-coding aided Generalized Quadrature Spatial Modulation low complexity detection algorithm is proposed to solve the problem of the proposed algorithm’s high complexity at the receiver. The results of analysis and simulation show that the proposed algorithm can achieve almost the same BER performance as the maximum likelihood (ML) algorithm with more than …
Optimized Linear Adrc Control For A Class Of Fractional-Order Chaotic Systems,
2019
Hebei Engineering Research Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, China;
Optimized Linear Adrc Control For A Class Of Fractional-Order Chaotic Systems, Huang Yu, Xie Tian, Wu Rui
Journal of System Simulation
Abstract: Linear active disturbance rejection control has many parameters and it is difficult to obtain appropriate parameters. Therefore, a quantum-behaved particle swarm optimization algorithm based on cosine decreasing function is proposed in this article for searching optimal LADRC parameters. In this algorithm, cosine decreasing function and updated equation of quantum-behaved particle swarm optimization algorithm are combined. By using the variable characteristic of cosine decreasing function with the increase of iteration times, the original global optimization ability of quantum particle swarm optimization is retained and its poor local optimization ability is overcome. And the simulation results show that the LADRC optimized …
Gcps Adaptive Scheduling Model Based On Cooperative Executor,
2019
Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China;
Gcps Adaptive Scheduling Model Based On Cooperative Executor, Zhang Jing, Chen Yao, Sun Jun, Hongbo Fan
Journal of System Simulation
Abstract: Aiming at the problem that the uncertainty of grid cyber physical systems leads to chain failure, an adaptive GCPS dispatching model based on co-actuator is established. First, the constraint conditions of the system are analyzed. A model constraints of GCPS system is presented to describe the constraint conditions of the power system, and it is proved that it meets the consistency of the measure and representing methods. Second, the optimal value of approximation error is solved by PILOT, and the framework of CA-SADM is described. Finally, the performance index, output power accuracy and the influence of fault on the …
Analysis On The Mission Reliability For Auv Based On Monte Carlo Method,
2019
1. Key Laboratory of Underwater Robotics, Harbin Engineering University, Harbin 150001, China; ;2. College of Automation, Harbin Engineering University, Harbin 150001, China; ;
Analysis On The Mission Reliability For Auv Based On Monte Carlo Method, Li Juan, Kunyu Zhang, Haibo Li, Lijuan Yang, Mengdi Wang
Journal of System Simulation
Abstract: The high reliability of AUV is the necessary condition for it to complete the task satisfactorily and efficiently within the specified time. Traditional fault tree is very convenient for describing the reliability model of the system, but for large and complex system, this will significantly increase the computation of reliability parameters, thus the calculation is difficult. Because it to calculate the reliability parameters of complex systems by the traditional fault tree, this paper adopts the method of combining the minimum cut set of fault tree and Monte Carlo method to establish the reliability model for Underwater Autonomous Unmanned Vehicle …
Dynamic Inventory Routing Optimization Based On Deep Reinforcement Learning,
2019
1. School of Navigation, Jimei University, Xiamen 361021, China; ;
Dynamic Inventory Routing Optimization Based On Deep Reinforcement Learning, Jianpin Zhou, Shuliu Zhang
Journal of System Simulation
Abstract: Aiming at the dynamic stochastic inventory routing problem with periodic fluctuation of demand, a novel simulation optimization approach based on deep reinforcement learning is proposed to achieving periodic steady strategy. Firstly a dynamic combinatorial optimization model is constructed. Then, by deep reinforcement learning and setting heuristic rules, the replenishment nodes set selection and the replenishment batch allocation weights in each period are determined. The simulation experimental results show that the proposed method can improve the average profit of a cycle by about 2.7% and 3.9% in low fluctuating demand case and by about 8.2% and 7.1% in high fluctuating …
Corner Localization In Digital Images Based On Radon Transform,
2019
North China Electric Power University, Hebei Engineering Research Center of Simulation &Optimized Control for Power Generation, Baoding 071003, China;
Corner Localization In Digital Images Based On Radon Transform, Xuguang Wang, Zhang Qin, Su Jie
Journal of System Simulation
Abstract: Location accuracy is one of the key indexes of measuring the performance of feature point.. High location accuracy feature point detection has important implications for the applications such as 3D reconstruction, motion estimation, target tracking and recognition, image registration, etc. A corner location algorithm based on Radon transform is proposed.Edge binary images are obtained with traditional method first, ideal straight lines and curves are extracted then, potential corner locations are calculated next, fake corners are rejected finally. Experimental results on both simulation and real images show that, this method performs better than the existing methods on interest point localization …
A Hybrid Approach For Multi-Document Text Summarization,
2019
San Jose State University
A Hybrid Approach For Multi-Document Text Summarization, Rashmi Varma
Master's Projects
Text summarization has been a long studied topic in the field of natural language processing. There have been various approaches for both extractive text summarization as well as abstractive text summarization. Summarizing texts for a single document is a methodical task. But summarizing multiple documents poses as a greater challenge. This thesis explores the application of Latent Semantic Analysis, Text-Rank, Lex-Rank and Reduction algorithms for single document text summarization and compares it with the proposed approach of creating a hybrid system combining each of the above algorithms, individually, with Restricted Boltzmann Machines for multi-document text summarization and analyzing how all …
3d Shape Prediction On Convolutional Deep Belief Networks,
2019
San Jose State University
3d Shape Prediction On Convolutional Deep Belief Networks, Gregory Y. Enriquez
Master's Projects
The field of image recognition software has grown immensely in recent years with the emergence of new deep learning techniques. Deep belief networks inspired by Hinton [11] were one of the earliest methodologies of deep learning in the late 2000s. More recently, convolutional neural networks have been used in deep learning techniques, architecture, and software to identify patterns in imagery in order to make predictions such as classification, image segmentation, etc. Traditional two-dimensional, or 2D, images stored as picture files, typically contain red, green, and blue color data for each individual pixel in the picture. However, more recent commercial 2.5D …
Music Retrieval System Using Query-By-Humming,
2019
San Jose State University
Music Retrieval System Using Query-By-Humming, Parth Patel
Master's Projects
Music Information Retrieval (MIR) is a particular research area of great interest because there are various strategies to retrieve music. To retrieve music, it is important to find a similarity between the input query and the matching music. Several solutions have been proposed that are currently being used in the application domain(s) such as Query- by-Example (QBE) which takes a sample of an audio recording playing in the background and retrieves the result. However, there is no efficient approach to solve this problem in a Query-by-Humming (QBH) application. In a Query-by-Humming application, the aim is to retrieve music that is …
Generating Contextual Text Embeddings For Emergency Department Chief Complaints Using Bert,
2019
Yale University
Generating Contextual Text Embeddings For Emergency Department Chief Complaints Using Bert, David Chang
Yale Day of Data
We applied BERT, a state-of-the-art natural language processing model, on chief complaint data from the Yale Emergency Department to map free-text notes to structured chief complaint categories.
