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Full-Text Articles in Engineering

From Situation Cognition Stepped Into Situation Intelligent Cognition, Zhu Feng, Xiaofeng Hu, Wu Lin, Xiaoyuan He, Xuezhi Lü, Liao Ying Jan 2019

From Situation Cognition Stepped Into Situation Intelligent Cognition, Zhu Feng, Xiaofeng Hu, Wu Lin, Xiaoyuan He, Xuezhi Lü, Liao Ying

Journal of System Simulation

Abstract: Aimed at operational situation cognition and some relevant problems under the background of the Joint-Tactical, some deep researches are carried out in this paper. The concept models of combat situation cognition and situation intelligent cognition are proposed respectively, and some related concepts are clarified. The situation intelligent cognition technology framework is proposed, and five key problems which should be solved are analyzed, and the possible technical routes are given. These research contents and achievements build a foundation for stepping into the situation intelligent cognition from combat situation cognition.


Situation Assessment Approach For Air Defense Operation System Based On Force-Sparsed Stacked-Auto Encoding Neural Networks, Shengming Guo, Xiaoyuan He, Wu Lin, Xiaofeng Hu Jan 2019

Situation Assessment Approach For Air Defense Operation System Based On Force-Sparsed Stacked-Auto Encoding Neural Networks, Shengming Guo, Xiaoyuan He, Wu Lin, Xiaofeng Hu

Journal of System Simulation

Abstract: Aiming at the difficulty of feature extraction and related generation mechanism analysis for complex Air Defense System of Systems (ADSOS) using traditional data mining method, a novel situation assessment approach based on Force-Sparsed Stacked-Auto Encoding Neural Networks (FS-SAE) is proposed. Combined with big data and complex networks technology, FS-SAE situation assessment model is built. The emergence relations between the capacity indexes of ADSOS are formalized. And then, the formation mechanism and the contribution rate of capacity indexes are studied and the validity of this approach is validated by the simulation data. The experimental results show that formalized presentation …


A 3d Convolution Neural Network For Operational Aggregation Behavior Prediction, Liao Ying, Yi Zhuo, Xiaofeng Hu, Tian Yuan, Jiuyang Tao Jan 2019

A 3d Convolution Neural Network For Operational Aggregation Behavior Prediction, Liao Ying, Yi Zhuo, Xiaofeng Hu, Tian Yuan, Jiuyang Tao

Journal of System Simulation

Abstract: Operational aggregation behavior prediction has encountered the challenges of large feature space, dynamic changes of related combat units and large behavior noise, etc. To address these issues, a operational aggregation behavior prediction method based on a 3D convolution neural network is proposed. In this method, a three-dimension convolution neural network is constructed by introducing the time dimension into the two-dimension convolution so as to recognize the operational aggregation behaviors. After that, a reconfigurable hierarchical long short-term memory (LSTM) network is adopted to analyze the temporal aggregation behavior data of related combat units, with which the key factors of aggregation …


Achievements And Developments Of Hysteresis And Creep Of Pneumatic Artificial Muscles, Shenglong Xie, Haitao Liu, Jiangping Mei Jan 2019

Achievements And Developments Of Hysteresis And Creep Of Pneumatic Artificial Muscles, Shenglong Xie, Haitao Liu, Jiangping Mei

Journal of System Simulation

Abstract: Regarding to the problems of hysteresis and creep, the developments and achievements of the research on pneumatic artificial muscles at home and abroad are systemically reviewed. The state of the art is summarized in terms of characteristics, reasons causing, modeling and control strategies based on the hysteresis and creep modeling. The problems in recent research are analyzed and the direction for further research is put forward. The theoretical study on hysteresis and creep of pneumatic artificial muscle is limited. The hysteresis modeling needs to consider the time-varied parameters caused by creep. Neural network modeling needs to solve …


Forestry Fire Spatial Diffusion Model Based On Multi-Agent Algorithm With Cellular Automata, Guoxiong Zhou, Wu Qi, Aibin Chen Jan 2019

Forestry Fire Spatial Diffusion Model Based On Multi-Agent Algorithm With Cellular Automata, Guoxiong Zhou, Wu Qi, Aibin Chen

Journal of System Simulation

Abstract: In view that forestry fire has the nature of multi-phase and multi-component, a forestry fire spatial diffusion model based on multi-agent algorithm with cellular automata is proposed. A method based on Wang Zhengfei-CA model is employed to approximately simulate the spread of forestry fire. On the basis of the status transition rule determined by CA and using the self-learning and variation methods of multi-agent algorithm, the measured forestry fire pattern is most similar to CA rule-driven evolution model and the CA rule can be automatically optimized. By comparatively analyzing the simulation results of the traditional Rothermel model and the …


Simulation Optimization On Multi-Ports Slot Plan Problem Considering Dispatching Sequence Of Containers In Yard, Zhang Yu, Huimin Cheng, Xu Jin, Tian Wei, Junfeng Sun Jan 2019

Simulation Optimization On Multi-Ports Slot Plan Problem Considering Dispatching Sequence Of Containers In Yard, Zhang Yu, Huimin Cheng, Xu Jin, Tian Wei, Junfeng Sun

Journal of System Simulation

Abstract: The multi-ports slot plan problem considering dispatching sequence of containers in yard is solved by an integer linear programming model, which minimizes heeling moment. The influences of different dispatching rules on solving the problem are simulated and analyzed through the programming model. Accordingly, a simulation optimization model based on genetic algorithm is constructed in order to enhance the computational efficiency. The simulation optimization model simulates the process of dispatching containers and loading vessel. The feasible solution is constructed through rules sets and inputted into the optimization model. An efficient encoding and decoding solutions are developed in genetic algorithm, …


Modeling And Simulation Of Ship Maneuvering Motion Based On Non-Uniform Flow And Shallow Water Effect, Sichen Tong, Xiaoya Tang, Zhang Huan Jan 2019

Modeling And Simulation Of Ship Maneuvering Motion Based On Non-Uniform Flow And Shallow Water Effect, Sichen Tong, Xiaoya Tang, Zhang Huan

Journal of System Simulation

Abstract: To reflect and simulate the flow condition and ship attitude in mountainous river, a 3-DOF ship motion mathematical model based on open channel non-uniform flow and shallow water effect is put forward. Analysis of the numerical simulation shows that with the decrease of depth-draft ratio h/d, the ship direct navigation speed decreases, the shallow water effect and the turning diameter increases. Meanwhile, the Z motion fluctuation amplitude and the oscillation period increase with the decrease of h/d, which means the decrease of the rudder effect and maneuverability. Application of the model in a case study shows that the proposed …


Modeling Of Submarine Torpedo-Launching Simulation, Jinping Wu, Junchao Mao, Wenqiang Ding Jan 2019

Modeling Of Submarine Torpedo-Launching Simulation, Jinping Wu, Junchao Mao, Wenqiang Ding

Journal of System Simulation

Abstract: In order to lay foundation for modeling and simulation of operation problems such as torpedo attacking, torpedo operation application and torpedo operation effectiveness analysis, etc., the model of submarine torpedo-launching is built in the way of qualitative analysis and classical mathematics. As an important composition of submarine torpedo-attacking, torpedo-launching mainly means the course from torpedo out-tube to hitting target or voyage end, which is between the stage of “controlling weapon launching” and “observing attack effectiveness” during the whole torpedo-attacking course. Through analyzing the seven-stage trajectory process of torpedo-launching, the target detecting model and acoustic homing range model of …


Dynamics Of Microbubble Confined In Concave Wall In Ultrasound Filed, Jiwen Hu, Jiana Sun Jan 2019

Dynamics Of Microbubble Confined In Concave Wall In Ultrasound Filed, Jiwen Hu, Jiana Sun

Journal of System Simulation

Abstract: The interactions between an ultrasound contrast agent (UCA) microbubble and a concave surface can be applied to understanding of the response of the UCA near blood vessel wall in ultrasound field. A dynamics model of microbubble near a concave wall is presented by a virtual image method and the acoustic reflection effects of the surface. The dynamic behavior of the microbubble is analyzed by numerical calculation. The results show that the microbubble vibration is suppressed near the wall. Inhibitory effects to microbubble vibration near rigid wall are stronger than that of near elastic wall. The microbubble vibration is easier …


Evolutionary Simulation On User Behavior Of Learning-Oriented Network Community, Lina Jiang, Xiaohong Shan, Xiaoyan Liu, Li Hong Jan 2019

Evolutionary Simulation On User Behavior Of Learning-Oriented Network Community, Lina Jiang, Xiaohong Shan, Xiaoyan Liu, Li Hong

Journal of System Simulation

Abstract: As the Learning-Oriented network platform aims to share knowledge, its users’ behavior is different from that of other network communities. Based on the Mental Accounting Theory, affecting factors of the users’ behavior is analyzed with Structural Equation Model. The simulation model using social computing method is established. This paper makes the comparative analysis on the NETLOGO simulation platform to explore and summarize the rules of users’ behavior. The final mental accounts including "Gaining Knowledge", "Learning Interest", "Sense of Belonging", and "Time". According to the conclusions and experiments, This paper provides the basis of decision making for the …


Design And Implementation Of Signal Level Mono-Pulse Tracking Radar Simulation System, Chaoxuan Shang, Zhao Yang, Zhuangzhi Han, Han Ning Jan 2019

Design And Implementation Of Signal Level Mono-Pulse Tracking Radar Simulation System, Chaoxuan Shang, Zhao Yang, Zhuangzhi Han, Han Ning

Journal of System Simulation

Abstract: In view of the poor compatibility between the particle size of simulation and tracking feedback control in tracking radar simulation system, a signal level mono-pulse tracking radar simulation system is constructed based on SystemVue simulation platform. Simulation system is layered and simulation framework is built according to the requirements of the simulation system. The key technologies in the process of simulation are analyzed, and the simulation results with distance and angle tracking loop are given. System implementation is of great significance for mono-pulse radar system design, demonstration, equipment development appraisal as well as combat training and …


An Improved Cs Algorithm And Its Application In Micro Grid Optimization, Changliang Liu, Pengfei Wang, Liu Shuai, Luo Lei, Zhenqiao Hui Jan 2019

An Improved Cs Algorithm And Its Application In Micro Grid Optimization, Changliang Liu, Pengfei Wang, Liu Shuai, Luo Lei, Zhenqiao Hui

Journal of System Simulation

Abstract: In order to solve the shortcomings in cuckoo search algorithm, such as slow convergence, low accuracy and easy to fall into the local optimal solution, an improved cuckoo search algorithm is proposed: CS-EO search algorithm. In this search algorithm, the fast convergence speed and global searching advantage of CS algorithm and the strong local search ability of EO algorithm are combined organically. Under the premise of guaranteeing the solving speed, the accuracy of the solution is improved. The results of optimization test functions show that CS- EO algorithm has better optimization performance compared with CS algorithm and PSO …


Mathematical Modeling And Simulation Of Hydraulic Governor For Marine Diesel Engine, Chen Jian Jan 2019

Mathematical Modeling And Simulation Of Hydraulic Governor For Marine Diesel Engine, Chen Jian

Journal of System Simulation

Abstract: The speed control and load limit of marine diesel engine are implemented by hydraulic governor, of which the characteristics directly determines the performance of generator set. Therefore, it is an important content of marine engine room simulator training to strengthen the students’ training and understanding of the working characteristics of the hydraulic governor. In the existing marine engine room simulators, the simulation model of hydraulic governor is too simple to carry out further training tasks. According to the working principle of hydraulic governor and the training purpose of marine engine room simulator, the mathematical model of UG-8 hydraulic governor …


A Simulation Study Of Appointment Rulesin Ct Department, Li Jun, Xuemei Lin, Zhou Jie Jan 2019

A Simulation Study Of Appointment Rulesin Ct Department, Li Jun, Xuemei Lin, Zhou Jie

Journal of System Simulation

Abstract: A discrete event simulation model was established onExtendSimsoftware, , with the average patient waiting time, average idle time of the examination rooms and total cost which wasthe linearlyweighted sum of them being as performance measures.Estimated value and sample data of these performance measures of 9 basic appointment scheduling rules and 9 adjusted ones were produced by the de-duplication methodso that analysis of variance and efficient frontier were carried out to compare the effects of different “staggered reservation rules” on this queuing system.It was showed that, for different beneficiaries (patients, hospital or both), the appointment scheduling rules …


Research On Two-Dimensional Imaging Algorithm Of Tomography For Near-Field Radiation Of Rf Objects, Shaohui Quan, Changtai Shi, Xuwang Cui, Bin Shi Jan 2019

Research On Two-Dimensional Imaging Algorithm Of Tomography For Near-Field Radiation Of Rf Objects, Shaohui Quan, Changtai Shi, Xuwang Cui, Bin Shi

Journal of System Simulation

Abstract: Two two-dimensional imaging algorithms of tomography are presented for observing different sections of RF objects. Two-dimensional images of the cross and coronal sections of the model are obtained based on the near-field radiation data calculated by FEKO. The effects of different variables on the imaging resolution are studied by changing near field scanning points and distance between the observation plane and RF objects. After the analysis of the simulation results, the proposed algorithms are compared with other imaging algorithms from different aspects. The advantages and limitations are discussed. The change of images and the corresponding solution are studied …


Modeling And Numerical Simulation Of Tissue Engineering Scaffold 3d Printing Process, Congping Chen, Jieguang Huang, Hu Qiong, Yanhua Ran, Li Bo Jan 2019

Modeling And Numerical Simulation Of Tissue Engineering Scaffold 3d Printing Process, Congping Chen, Jieguang Huang, Hu Qiong, Yanhua Ran, Li Bo

Journal of System Simulation

Abstract: In the process of tissue engineering scaffold fabrication using injecting 3D printing, the viscous fluid material is extruded out with a style of microfilament, which is deposited on a substrate layer by layer. The materials spread, pile up, remelt and solidify as a consequence of the couple effects of gravity, surface tension, viscous force and solidification drag force. Aiming at the above issues, the forming process of scaffold with homogeneously-sized space pores is studied with a CFD approach to research the pore forming mechanism. The results show that the viscous fluid is cooled mainly by the substrate, and heat …


Fast False Scene Jamming Algorithm For Sar-Gmti Based On Moving Jamming Station, Mingxing Fang, Daping Bi, Aiguo Shen Jan 2019

Fast False Scene Jamming Algorithm For Sar-Gmti Based On Moving Jamming Station, Mingxing Fang, Daping Bi, Aiguo Shen

Journal of System Simulation

Abstract: Traditional false scene jamming of SAR is invalid for SAR-GMTI system, which does not have the feature of moving targets, so a fast false scene jamming algorithm for SAR-GMTI based on moving jamming station is proposed. Through reasonable simplification of the traditional algorithm, the fast false scene jamming algorithm of matrix form is put forward. The method is proposed to take advantage of both fast false scene jamming algorithm and moving jamming station, so it can produce false scene jamming with real moving feature. It not only solves the real-time problem of traditional false scene jmming, but …


Smooth Transition Method Over Entire Speed Range Of Switched Reluctance Motor, Diansheng Sun Jan 2019

Smooth Transition Method Over Entire Speed Range Of Switched Reluctance Motor, Diansheng Sun

Journal of System Simulation

Abstract: In order to smoothly switch different control modes of switched reluctance motor under the condition of low speed and high speed, a novel scheme using function fitting method to control turn-on angle, turn-off angle and phase current chopping is proposed. The active disturbance rejection speed control system is structured for switched reluctance motor in order to restrain all kinds of disturbance and improve the dynamic performance. Simulation results indicate that the principle of the method is correct and the turn-on angle, turn-off angle and phase current chopping is coordinated to realize the smooth switching of different control modes with …


Relevance Analysis Of Deicing Parameters And Deicing Efficiency Of Aircraft Ground, Bin Chen, Liwen Wang Jan 2019

Relevance Analysis Of Deicing Parameters And Deicing Efficiency Of Aircraft Ground, Bin Chen, Liwen Wang

Journal of System Simulation

Abstract: Aircraft ground freezing could lead to potential danger and delay for flight. To alleviate these problems, the main method is to use the deicing fluids to clean ice or snow on the aircraft body, which lacks of reference of the deicing fluids parameters and efficiency. To study the effect of the deicing fluids parameters on the aircraft deicing efficiency, the deicing mechanism is analyzed.The black box mathematical model of the deicing process is generalized abstractly. The deicing process is divided into two subprocesses to establish the deicing model.The relevance between the deicing fluids parameters and deicing efficiency is studied …


Transformer Fault Diagnosis Based On Feature Extraction Of Relative Transformation Principal Component Analysis, Yongbo Tang, Yinguo Xiong Jan 2019

Transformer Fault Diagnosis Based On Feature Extraction Of Relative Transformation Principal Component Analysis, Yongbo Tang, Yinguo Xiong

Journal of System Simulation

Abstract: In order to handle the problem that the feature extraction of dissolved gas analysis (DGA) data by principal component analysis (PCA) is not distinct, a new transformer fault diagnosis method based on relative transformation (RT) PCA is proposed. The original data space is converted to the relative data space by relative transformation which makes the transformed data more distinguishable. PCA is employed to reduce the dimension of relative space to make the features more representative in the relative space. Diagnosis model based on least squares support vector machine (LSSVM) is set up according to the fault characteristic of transformer. …


Integrated Berth And Quay Crane Allocation Multi-Objective Algorithm For Container Terminal, Wang Xu, Shixin Liu, Ruiyou Zhang, Wang Jia Jan 2019

Integrated Berth And Quay Crane Allocation Multi-Objective Algorithm For Container Terminal, Wang Xu, Shixin Liu, Ruiyou Zhang, Wang Jia

Journal of System Simulation

Abstract: This paper researches on a continuous berth and quay crane allocation problem for low carbon container terminal. Considering the constraints of stochastic arrival time and limited truck transportation ability, a multi-objective nonlinear mixed integer programming model is established to minimize carbon emissions and average delay time. An efficient non-dominate sorting genetic algorithm II (ENSGA-II) is designed to deal with this problem. According to the characteristics of the problem, encoding rule and decoding rule based on rolling-horizon simulation, PPX crossover operator with elite selection, multi constraints mutation operator and repair operator are adopted. The results of several simulation experiments …


Interval Fuzzy Modeling Based On Minimizing-Norm On Approximation Error, Xiaoyong Liu, Zhonggang Xiong, Changguo Yan Jan 2019

Interval Fuzzy Modeling Based On Minimizing-Norm On Approximation Error, Xiaoyong Liu, Zhonggang Xiong, Changguo Yan

Journal of System Simulation

Abstract: As the obtained data in many practical applications tend to be uncertain or inaccurate, conventional modeling methods characterized by deterministic model for this type of data have become undesirable. Taking linear programming and TS fuzzy model and some ideas from norm minimization into consideration, a novel method identifying interval fuzzy model (INFUMO) consisting of upper and lower TS fuzzy model (referred to as fU and fL) has been studied. In order to solve INFUMO, optimization problems based on minimizing-norm with respect to approximation error corresponding to fU and fL are constructed. Finally, optimization problems …