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The Three-Volume-Set CCIS 323, 324, 325 (AsiaSim 2012) together with the Two-Volume-Set CCIS 326, 327 (ICSC 2012) constitutes the refereed proceedings of the Asia Simulation Conference, AsiaSim 2012, and the International Conference on System Simulation, ICSC 2012, held in Shanghai, China, in October 2012. The 267 revised full papers presented were carefully reviewed and selected from 906 submissions. The papers are organized in topical sections on modeling theory and technology; modeling and simulation technology on synthesized environment and virtual reality environment; pervasive computing and simulation technology; embedded computing and simulation technology; verification, validation and accreditation technology; networked modeling and simulation technology; modeling and simulation technology of continuous system, discrete system, hybrid system, and intelligent system; high performance computing and simulation technology; cloud simulation technology; modeling and simulation technology of complex system and open, complex, huge system; simulation based acquisition and virtual prototyping engineering technology; simulator; simulation language and intelligent simulation system; parallel and distributed software; CAD, CAE, CAM, CIMS, VP, VM, and VR; visualization; computing and simulation applications in science and engineering; computing and simulation applications in management, society and economics; computing and simulation applications in life and biomedical engineering; computing and simulation applications in energy and environment; computing and simulation applications in education; computing and simulation applications in military field; computing and simulation applications in medical field.



The First Section: Networked Modeling and Simulation Technology

Network Synchronization Mechanism Design Based on MMORPG

Based on the reason of network synchronization and the existing synchronization mechanisms, this article adopts the idea of message partition, IOCP and the thread pool technology, improves Time Warp algorithm and Dead Reckoning Algorithm, designs a integrated solution of synchronization between server and client to mitigate the synchronization problems in MMORPG. In the experiment, we compare and analysis the effect of traditional synchronous solutions and the effect of our solution, it is shown that this system can better solve the synchronization problem in MMORPG.

Jianwei Li, Hualei Wu, Xiaowen Li, Shixi Chen

Research of Networked Control System Based on Predictive Functional Control

As a hotspot in the field of the control theory research and control engineering application, networked control system (NCS) has drawn the domestic and foreign researchers’ attention. The essence of NCS is that all kinds of information such as reference input, control input, object output etc can exchange data by the different components of networked control system, such as sensors, controllers and actuators and so on. As a model based advanced control technology, predictive functional control has the same advantages as model predictive control, its algorithm and principle are simple and can be easily realized. Takes the first-order plus time-delay system in typical industry process control system for example, the networked control system based on predictive functional control is designed in this paper, and the simulation platform by using TrueTime toolbox based on Matlab platform is constructed. The simulation result has shown that the control scheme is effective and feasible, and it can be used in engineering application.

Daogang Peng, Jiajun Lin, Yue Wu, Hao Zhang

A Wireless Sensor Network Location Algorithm Based on Firefly Algorithm

Wireless sensor network(WSN) is getting more attention from the society for its underlying application value. The position of the nodes is very important in some pictures. This paper proposes a new method of localization of target nodes based on the Firefly Algorithm(FA).We introduce the Firefly Algorithm and improve it . We discuss performance of our method based on the numerical simulations compared with other localization algorithm.

Song Cao, Jianhua Wang, Xingsheng Gu

Simulation Research on DSDV and AODV Protocol in Tactical Unit Network

Ad Hoc Network and its potential application were introduced, typical proactive routing protocol DSDV and typical on-demand routing protocol AODV were analyzed and compared.Modeling and simulation for DSDV protocol and AODV protocol in tactical unit network were projected under VRNET Developer platform. Results show that DSDV protocol has pretty performance in network environment with fewer nodes, low mobility and high real-time requirements, and AODV protocol is more fit for network environment with many nodes and high mobility.

Houmin Li, Lijun Pan, Rui Fan

The Transmission Power Control Method for Wireless Sensor Networks Based on LQI and RSSI

Improving energy efficiency to prolong the lifetime is a key research issue of the wireless sensor networks. Appropriately adjusting the nodes transmission power is very important to reduce the network energy consumption. This paper proposes a transmission power control method based on LQI and RSSI which can dynamically adjust the network energy consumption and improve the energy efficiency of the wireless sensor nodes. The test conducted on a wireless network established in the lab shows that the transmission power control method can save the nodes energy effectively as well as significantly prolong the lifetime of the network.

Shang Jin, Jingqi Fu, Liming Xu

Research on ZigBee Wireless Meter Reading System in Opnet Simulator

The paper aims to evaluate the performance of a ZigBee wireless meter reading system using Opnet. At first, a scheme of distributed meter reading system is proposed. In order to simulate the real system, an energy module special for CC2530 is added in Opnet. Then the necessary parameter configurations for it are considered. At last, the simulation environment of the proposed system is set up. According to the monitored global and local statistics, it comes to the conclusion that the scheme has the distinguishing characteristics of the smaller end-to-end delay, the few packet loss as well as lower energy consumption and can be well applied in the factual meter reading system.

Yinfang Wang, Shiwei Ma

Network-in-the-Loop Simulation Platform for Control System

In order to research how the real network influences the control system, a Network-in-the-loop simulation platform is established in this paper. The platform consists of two simulation modules and two communication interfaces. Plant modeling and controller design is based on Matlab whereas communication interfaces programming is complemented in Visual C++. In this scheme, data is exchanged between Matlab and VC++ by Dynamic Data Exchange (DDE) technology, while Windows Socket is used for networked transmission design. On the platform, users can design and imitate the real networked control online. Besides, the real-time delay data is obtained in Simulink environment. Finally, according to the simulation experiment of DC motor servo system, the validity of the simulation platform is demonstrated.

Xiaowei Chen, Yang Song, Jia Yu

Command and Control Evolutive Network Models for Command Substitution

Due to the damage of commander or command post in battlefield, it often appears the substitution of command right of C2 (Command and Control) nodes. Firstly, this paper analyzes information exchanging in C2 network and builds a classic army C2 network. Secondly, three kinds of command substitution such as backup-command, junior-command and bypass-command are concluded according to the actual combat, which also means that three evolutive networks are built based on the three evolutive rules. It shows that the original network and its evolutions all present different degree of complex network characteristics. Finally, based on communication decision-making model, it shows the diversity of synchronization in different networks with Netlogo simulation software and draws the conclusion that the synchronization of network by using backup-command is better than other two evolutive networks.

Lidong Qian, Xiao Song

Stochastic Stability Analysis of MIMO Networked Control Systems with Multi-quantizers

This paper is concerned with stochastic stability analysis of MIMO NCSs with multi-channel communication constrain and multi-quantizers. With communication constrains treated as packet disordering and quantization error treated as sector-bounded uncertainty, the closed-loop system is firstly modeled as a Markov jump linear system (MJLS). A stochastically stable condition has then been derived, and the main results are further extended to MIMO NCSs with parameter uncertainty. Finally, simulation results confirm the effectiveness of the proposed method.

Haoliang Bai, Dajun Du, Minrui Fei, Zhihua Song

Remote Iterative Learning Control System with Duplex Kalman Filtering

This article investigates the iterative learning control (ILC) problem for a remote network control systems under wireless network condition. To reduce wireless channel noise, a novel method of duplex Kalman filtering is firstly presented and combined into the remote ILC system. The convergence of system is analyzed and the convergence condition is given. The merit of the propose method is also verified by comparing the fluctuations boundaries of the two cases with Kalman filtering and without Kalman filtering. Finally, simulation results confirm that the tracking accuracy is greatly improved in comparison with other approaches under different cases of ILC and Kalman filtering.

Wenju Zhou, Minrui Fei, Haikuan Wang, Xiaobing Zhou, Lisheng Wei

Prognostics for Aircraft Control Surface Damage Based on Fuzzy Least Squares Support Vector Regression (FLS-SVR)

The trends of flight control system state parameters which can be measured are indirect manifestations of surface damage. In order to predict the changes of states trend more accurately, an algorithm based on fuzzy least squares support vector regression (FLS-SVR) was presented. This approach reconstructed the phase space of multivariate time series using K-L transformation method. A FLS-SVR model was built with the new information priority theory according to apply a fuzzy membership to each input point. The SVR parameters were optimized by genetic algorithm (GA) to improve the accuracy of the model. In order to verify the validity of FLS-SVR algorithm, the prognostics and analysis of surface damage trend were performed. The simulation result demonstrates the prognostics model has good predictive ability.

Lei Dong, Zhang Ren, Qingdong Li

The SOS Simulation of Network-Centric Information System Based on Agent

In this paper, the concept, composition and architecture of network-centric information system are firstly introduced. Secondly, the methodology of Agent-based modeling (ABM) is used to establish the simulation model of command and control (C2) node of network-centric information system. At last, a method based on the information associated network is proposed to solving the problem of the System of System (SOS) simulation on network-centric information system. Through analyzing the information interactive relationship between information system nodes, the interactive contents are real-time computed and stored in a two-dimension table. So according to the information interactive relationship and interactive contents, the SOS running effect of network-centric information system can be high fidelity simulated.

Fang Zhou, Shaojie Mao

Modeling on 3D Atmospheric Transmission of Infrared Radiation

On the basis of analysis atmosphere, a new method of calculating the atmosphere transmissibility is introduced. The 3D model of atmospheric transmission of infrared radiation is established for calculating atmospheric transmittance, thermal emission, and single scatter solar radiance along sensor-to-target lines-of-sight (LOS) within a three-dimensionally varying atmosphere. This model analysis the various factors which affect the infrared radiation of atmospheric transmission. The calculation results of atmosphere transmissibility not only consider the atmosphere layering situation along the vertical direction but also atmosphere molecules distribution variable along the horizontal direction. Finally, the simulation images show in this paper.

Zhifeng Li, Xu Geng, Fan Li, Li Zhang

Link Prediction Based on Weighted Networks

Link Prediction can make networks more complete. However, because of restraint of algorithm, traditional link-prediction measures cannot make full use of weight information to analyze the network. To solve this problem, this paper proposes a new method based on weighted networks, and the new method synthesizes and improves existent methods so that the predictor could make use of weight information in the network. We apply the new method to three real networks (astro-ph, cond-mat and hep-th). The result of experiment demonstrates that new method is more precise, and this method provides people with a new idea about how to better analyze weighted networks.

Zeyao Yang, Damou Fu, Yutian Tang, Yongbo Zhang, Yunsheng Hao, Chen Gui, Xu Ji, Xin Yue

Research on Product Comprehensive Information Modeling

To meet the demand of information model ,this article analyzed the evolution for information model, presented and clarified the concept, ideas and content derived from product comprehensive information model; through the detailed and concise classification to the information of lifecycle, drew the composition structure of product comprehensive information model, and built product comprehensive information model from both overall and local aspects; at the same time, provided the expression form for product comprehensive information model and the document type to access its information as well.

Xinghui Dong, Yuwei Zhao, Ying Liu, Yuanyuan Li

Research on Structure of Communication Network in Smart Grid

As the next generation of power systems, smart grid is a high degree integration of electric power, communication and automatic control. A safe, effective and intelligence communication platform is the precondition of building Smart grid. This paper introduces an overview of power communication in nowadays, analyzes and probes the structure and safe strategy of communication network in Smart grid. Several key technologies of communication safety in Smart grid are summarized and generalized. This paper has important reference value to the research area of the communication safety of Smart grid.

Feng Ran, Hailang Huang, Tao Wang, Meihua Xu

Analysis of Information Encryption on Electric Communication Network

The greatly improvement of electric power automation is making electric power system increasingly depend on the information networks to ensure its safety, reliable and efficient operation. This paper introduces the general situation of electric power system and power information network system in nowadays. Finally, two typical encryption algorithms DES and RSA are analyzed and compared, and software program based on QT is used to prove the principle of the encryption algorithms. This paper also has some reference value for the research on security of electric power telecommunication.

Feng Ran, Hailang Huang, Junwei Ma, Meihua Xu

Using Distance-Based Outlier Detection Method to Handle the Abnormal Gateway in WSN

The gateway of wireless sensor network (WSN) plays a key role in the network system. Its stability and reliability is very important to the WSN. The abnormal of gateway will make the network sequence disorder. The node can’t report its data to the gateway, and it will need much more power consumption. In this paper, we propose a star topology network and the redundant node can monitor the node data and realize the gateway working status detection. We establish the relevant mathematical model based on the distance-based outlier detection method (DBODM) to analysis the gateway. When the deviation value is more than a certain threshold, the redundant node changes the nodes’ working patterns through sending the intelligent decision message, to realize the node working in low power consumption.

Wei Su, Jingqi Fu, Haikuan Wang

Security in Underwater Acoustic Sensor Network: Focus on Suitable Encryption Mechanisms

Underwater acoustic sensor network (UWASN) technology is advancing recently, and research is increasing rapidly. UWASN can be applicable to many fields such as underwater monitoring, underwater resource exploration, ocean data collection, and military purposes. Existing terrestrial wireless sensor network security mechanisms have not been applied to UWASNs due to interference such as multipath propagation, signal fading, limited bandwidth, slow data rates, and long transmission delays. UWASNs also require security mechanisms and algorithms to maintain data confidentiality and integrity. Security-related research is being actively conducted, but it is still in its nascent stages. Therefore, when considering a UWASN protocol stack, the application layer, when sending data to its sub-layer, needs to encrypt the payload for information security. In this paper, we consider the requirements and security issues of UWASNs. We also discuss applicable security algorithms that are suitable for UWASN.

Ji Eon Kim, Nam Yeol Yun, Sardorbek Muminov, Soo Hyun Park, Ok Yeon Yi

Towards a Biological More Plausible Artificial Neural Networks

This paper presents a simulation of a biological more plausible neural network system. The system modeled a Spiking Neural Network for self-organized architecture. Recently, Spiking Neural Networks have been much considered in an attempt to achieve a more biologically realistic neural network which was coined as the third generation Artificial Neural Networks. Spiking neurons with delays to encode the information is suggested. Thus, each output node will produce a different timing which enables competitive learning. The suggested mechanism is designed and analyzed to perform self-organizing learning and preserve the inputs topology. The simulation results show that the model is feasible to perform a self-organized unsupervised learning. The mechanism is further assessed in real-world dataset for data clustering problem.

Junaidi Bidin, Muhamad Kamal M. Amin

The Second Section: Modeling and Simulation Technology of Continuous System, Discrete System, Hybrid System, and Intelligent System

Modeling and Simulation Methodology of Multifield Coupling for Hypersonic Vehicle

Multifield coupling among gas flow, heat transfer, structure deformation and flight control is an important phenomenon for hypersonic vehicle. The coupling mechanism can be simplified according to simulation purpose. Typical simulation tests for different phases of hypersonic vehicle guidance, navigation and control (GNC) system design process are presented and the coupling boundaries are also given. Multifield coupling simulation time advancement scheme is proposed and calculation method for each field is presented. Multifield coupling simulation platform design method methodology is presented and an integrated numerical simulation platform prototype, consisting of geometry configuration design, mesh grid generation, trajectory optimization, GNC, aero-thermo-elastic coupling calculation, simulation results visualization and analysis software is designed. The functions of CSC-MPCSim are demonstrated through modeling and simulation of a flight vehicle with a configuration similar to X-43 hypersonic flight vehicle designed by NASA of the USA.

Ping Ma, Tao Chao, Ming Yang

Research on Target Electro-optical Tracking Based Fuzzy Disturbance Observer Controller

The compound axis control technique is a quick and effective approach to improve the accuracy of high precision target tracking systems. However, traditional disturbance observer controller can not inhibit all-domain noises and can not achieve ideal performance. The robust control method based on fuzzy disturbance observer(FDO) is introduced in this paper, and the method is applied to the electro-optical tracking system together with the Kalman Filter. Compared to the traditional method, the method based on FDOB can inhibit high-frequency noise and compensate low-frequency interference better finally.

Ying Liu, Zhenghua Liu, Le Chang

Comparison on H∞ Filter and Kalman Filter for Initial Alignment of SINS on Static Base

This paper discusses two kinds of initial alignment for Strap-down Inertial Navigation System(SINS), one is based on Kalman filter, and the other is based on H∞ filter. Through modeling, simulating and comparing, it can be concluded that using the former, with given system model and the noise characteristics, the leveling misalignment angles converge relatively rapid, but the azimuth misalignment angle converges relatively slow. If there is too large disturbance on system model, Kalman filter would be prolonged, even be emanated. However, the standard Kalman filter performances can be improved by using H∞ filter. The latter performs better than the former in azimuth alignment and equivalent to the former in level alignment. And H∞ filter can also greatly enhances the robustness of the system. So H∞ filter is an available method for the initial alignment.

Bo Yang, Xiuyun Meng

Self-generating Interpretable Fuzzy Rules Model from Examples

In this paper, we propose a powerful method for automatically generating interpretable fuzzy rules model from a set of given training examples (i.e. numerical data) which are sampled from an unknown function. Self-generating fuzzy rules from examples can be used as a common method for simulation such as behavior simulation for virtual humans and CGF. Our method consists of two steps: Step 1 automatically extracts a fuzzy rule base which can approximate the unknown function with an approving accuracy by introducing a homologous Gaussian-shaped membership function. Step 2 improves its interpretability by deriving linguistic rules from fuzzy if-then rules with consequent real numbers. In this way, we achieve the balance between the accuracy and interpretability of the generated rules. Finally, we show the availability of our method by applying it to the problem of function approximation.

Meng Li, Zhiwei Hu, Jiahong Liang, Shilei Li

Modeling and Simulation on Pulse Compression of Hybrid-Modulation Signal Based on Simulink

The principle of the hybrid-modulation signal and the method of its pulse compression are introduced, and then the simulation model of pulse compression is established by Simulink. Some difficult problems and their solutions in the process of simulation are analyzed here, and the results of simulation are given. According to the analysis, it is known that the simulation realizes the pulse compression of the hybrid-modulation signal, and it can offer reference not only for the modeling and simulation of radar system, but also for the research of the radar signal digital processing technology.

Biao Wu, Kaining Xiao, Guoqin Shen, Ning Zhou, Zhaohui Han

The Reentry Trajectory Optimization for Lifting Vehicle by Using Gauss Pseudospectral Method

To obtain the flight trajectory for lifting vehicle after reentry atmosphere, the Gauss pseudospectral method is used to convert the reentry trajectory optimization problem of three-dimension for the vehicle into a nonlinear programming problem. The path constraints include the heat flux peak on stagnation point and maximum dynamic pressure and the terminal constraints include the vehicle’s height and position, and the optimal performance index is the minimum total heat absorption. The angle of attack and bank angle are chosen as control variables. The result of simulation indicates that the GPM is effective to solve trajectory optimization problem, and can satisfy the above optimization index and constraint condition.

Yuxing Yang, Xiuyun Meng

Intelligent Remote Wireless Streetlight Monitoring System Based on GPRS

According to the development trend of the streetlight, this paper presents a remote and wireless streetlight monitoring system based on GPRS. GPRS stands for General Packet Radio Service, it has a lot of advantages like widely used, high transmission speed, low power consumption and so on. The system uses microcontroller chip MSP430F2274 and wireless transceiver chip CC2500. The whole network consists of the control center and up to 100 groups of control network, and each control network has up to 100 terminal nodes, terminal nodes measure humidity, current, voltage and other information, and send these information to the transition points by the RF wireless transceiver module, then the transition points transmit information to the control center through GSM/GPRS networks. The control center will deal with the data so that it can know the situation of each streetlight. According to the result the control center gives orders to each streetlight to control the switch state and illumination of them.

Meihua Xu, Mengwei Sun, Guoqin Wang, Shuping Huang

Research of Time-Delay Chaotic Systems via Linear Feedback

Based on the Razumikhin theorem of time-delay systems, this paper discusses chaos control and synchronization of chaotic systems with time-varying lags. A novel method for time-delay chaotic systems is derived. Linear and feasible controller is designed to control and synchronize Lorenz system with time-varying lags. The proposed controller can realize chaos control even though there exist unknown time-varying lags. This method can be applied to a class of systems with different time-varying delays too. Numerical simulation results are given to show the effectiveness of the proposed method.

Hua Wang, Xin Wang, Xianhai Shen, Xuliang Zhang

The Third Section: High Performance Computing and Simulation Technology

Research on Matching Pattern of Land Used Transfer Alignment

Aiming at the problem of initial alignment of land used strap-down inertial navigation system (SINS), pointed out the advantages and particularity of the moving base transfer alignment. Make the system error as the state variables of transfer alignment model, and the relationship between matching pattern of transfer alignment and system state observer was studied, if matching patterns are different, the form of measurement equation will be different. So matching pattern is the key factor to affecting transfer alignment performance. Simulate and analysis different matching patterns to get alignment results respectively, and summarizes the principle of choosing combination matching patterns according to different terrain conditions.

Yajing Yu, Qing Li, Zhong Su

The Design of Simulation System of GPS/INS Ultra-tight Integration under High Dynamic Environment

When the carrier to do a high dynamic motion, it will lead the tracking error to increase, then the degree of nonlinearity of the detector will become large and the equivalent gain response will reduce, so it may lead the satellite signal to loss lock. This paper studies the simulation system of GPS/INS ultra-tight integration under high dynamic environment, it simulates two kinds of dynamic models and the results show the superiority of ultra-tight integration. When the GPS single interrupted, it can continue tracking by INS and it’s able to quickly restore the tracking when signal recovery. Ultra-tight integration also provides a possible for GPS anti-jamming technology.

Zhen Ji, Chuanjun Li, Xingcheng Li

Location Based on Passive RFID by Using Least Squares SVM

In this paper, two location algorithms are mentioned. One is LANDMARC, which has a good performance of anti-interference, but it is an approximate estimate and cannot get an accurate result. It heavily depends on the empirical formula and the layout of reference tags. The other algorithm proposed in this paper is the location algorithm based on least squares SVM. It uses the least squares SVM to get the mapping of RSSI to distance, and then gets the position results by using least-squares method. According to the simulation, it has a better performance comparing to LANDMRC.

Panfeng Niu, Zengqiang Chen, Yibo Li, Qinglin Sun

Performance Robustness Comparison of Active Disturbance Rejection Control and Adaptive Backstepping Sliding Mode Control

Active disturbance rejection control and sliding mode control are two control approaches which are claimed to have good ability and strong robustness in the control of the systems with internal uncertainties and external disturbances. But the systematic comparisons of these two control schemes are lacking in the extant literatures. In this study, Monte-Carlo experiment is adopted to test the performance robustness of these two control schemes based on the same nominal disturbance rejection ability. Simulation results show that the second-order linear active disturbance rejection control has very good performance robustness, especially for the plants with integrating element, the high order plants and the nonlinear plants.

Ying Kang, Donghai Li, Dazhong Lao

Research and Simulation of Surface Fitting Algorithm Based on Surface Patches Splicing

According to differential geometry of surface theories, this paper researches on a surface fitting algorithm based on surface patches splicing. Space curved surface is decomposed into several surface patches, and then, surface model is established based on the quadratic equation. During the establishment of multiple nonlinear equations, the equal mean curvature and continuous surface works as boundary constraint conditions. For each patch, the nonlinear equations are solved by using single rank inverse Broyden quasi Newton method to obtain the parametric equation of the surface patch. Through the recursion, the patches can be spliced and it can realize the surface reconstruction. Finally, simulations are carried out in the Matlab environment and the experimental results show that the surface fitting algorithm can effectively reconstruct the large deformation surface, so it is feasible for space surfaces reconstruction.

Xiaoping Qiao, Hesheng Zhang, Jinxing Xu, Xiaojin Zhu

Convergence Analysis of Variational Iteration Method for Caputo Fractional Differential Equations

In this paper, the variational iteration method is applied to solve initial value problems of Caputo fractional differential equations. The convergence of the variational iteration method for solving the initial value problems of the kind of equation has been proved. The numerical examples show the efficiency of the variational iteration method for solving the initial value problems of the kind of equation.

Zhiwu Wen, Jie Yi, Hongliang Liu

Fluid Motion Estimation Based on Energy Constraint

This paper presents a method for motion estimation of fluid flow in natural scene. Due to drastic brightness changes in images sequence, previous methods based on continuity equation or brightness consistency constraint cannot be applied in this context well. We define Brightness Distribution Matrix (BDM) to present regional brightness. In the initialization of motion field, the BDM consistency between original point and corresponding point is used as a constraint. Towards the incorrect motion vector caused by drastic brightness change, we denoise to the initial motion field by statistical method, and then a novel smoothness constraint is applied to optimization for denoised motion field. The results of natural fluid flow in images show the validity of our method and the obtained motion field can be used to process 3D recovery for fluid flow.

Han Zhuang, Hongyan Quan

Numerical Simulation of Discrete Gust Response for a Free Flexible Aircraft

Gust response analysis plays a very important role in large aircraft design. This paper presents a methodology for calculating the flight dynamic characteristics and gust response of free flexible aircraft. A multidisciplinary coupled numerical tool is developed to simulate detailed aircraft models undergoing arbitrary free flight motion in the time domain, by Computational Fluid Dynamics (CFD), Computational Structure Dynamics (CSD) and Computational Flight Mechanics (CFM) coupling. To achieve this objective, a structured, time-accurate flow-solver is coupled with a computational module solving the flight mechanics equations of motion and a structural mechanics code determining the structural deformations. A novel method to determine the trim state of flexible aircraft is also stated. First, the field velocity approach is validated, after the trim state is attained, gust responses for the one-minus-cosine gust profile are analyzed for the longitudinal motion of a slender-wing aircraft configuration with and without the consideration of structural deformation.

Dong Guo, Min Xu, Shilu Chen

A Study of Wireless Mobile Node Localization Algorithm Based on MCL and HS

This paper proposes the methods to improve the Monte Carlo (MCL) algorithm for the wireless mobile node localization. It combines the anchor boxes constructed by different power signals with the node location information in the previous time to reduce the sampling region. Through sampling and filtering in this region, we adopt the Harmony Search (HS) algorithm to optimize the obtained samples and then calculate the estimated value of the node location. Moreover, the RSSI ranging is used to assist localization. And it takes full advantage of the nodes information with high availabilities. The simulation results show that the improved algorithm reduces the requirements of anchors density and improves the sampling filter efficiencies and the localization accuracy.

Yan Chen, Jingqi Fu

The Research on Association Rules Mining with Co-evolution Algorithm in High Dimensional Data

This paper adopts a co-evolution algorithm, which utilizes improved genetic algorithm and particle swarm optimization algorithm to iterate two populations simultaneously. Meanwhile, the mechanism of information interaction between these two populations is introduced. Finally, experiments and application have been made to prove that on the premise of acceptable time complexity, not only does the co-evolution algorithm inherit the superiority of traditional genetic algorithm such as reducing the number of scanning the database effectively and generating small-scale candidate item sets, but also avoid the phenomenon of premature through comparing the properties of co-evolution algorithm, traditional genetic algorithm and particle swarm optimization algorithm when used in association rules mining. High quality association rules can be found when adopted the co-evolution algorithm, especially in high-dimension database.

Wei Lou, Lei Zhu, Limin Yan

Simulated Annealing Algorithm in the Application of Thermal Reliability

According to the influence of temperature on the lifespan of electronic devices, this paper uses the simulated annealing algorithm to optimize the layout of array distributed electronic components, and the finite element method to verify the result. The results show that it can effectively lower the high temperature of the electronic components through the layout optimization. The highest temperature and the average temperature are decreased by 10.49% and 10.41% respectively in this simulation, which indicates the simulated annealing algorithm can effectively solve the problem of layout optimization of components on the printed circuit board and avoid large-scale computing in the traditional algorithm. This algorithm is of practical value in the field of engineering.

Shaoxin Tian, Zhong Su, Xiaofei Ma, Xu Zhao

Parallel Simulation Based on GPU-Acceleration

GPU has much intensive computation capacity and wide bandwidth, and with the advantage of high performance and low power cost, the heterogeneous architecture of CPU and GPU make good effect in many fields. With the appearance of CUDA that carried out by Nvidia, the GPU is used for general-purpose computation is easier and cheaper, there are many high performance computation questions in simulation field, such as the simulation of the electromagnetic environment, the solution of higher order differential equations, the simulation data processing, large-scale combat simulation and so on, among these, some of the questions that are involved data-intensive computation, are suitable for acceleration by GPU. With the development and maturity of GPGPU, the heterogeneous parallel computation will play an important role in parallel simulation.

Jun Du, Qiang Liang, Yongchun Xia

Quantization Based Real-Time Simulation of Continuous System in Distributed Environment

Continuous system must be discretized for computer simulation. There is a kind of methods such as QSS method that discretizes the continuous system based on the discretization of the state space except the classical methods such as Euler, Runge-Kutta, etc. It is proved that the quantization based method would reduce the redundant caculation while guarantee the accuracy. It has always been proved that QSS method would guarantee the stability and convergence under some conditions. QSS method discretizes the continuous system to discrete-event model and each model could be treated as a federate in HLA. The real-time simulation in HLA is supported by a special federate called RTFederate. At last, an example would be introduced to prove the method.

Wei Zhang, Jiangyun Wang

Modified Self-adaptive Strategy for Controlling Parameters in Differential Evolution

In this paper, we propose a new technical to modify the self-adaptive Strategy for Controlling Parameters in Differential Evolution algorithm (MSADE). The DE algorithm has been used in many practical cases and has demonstrated good convergence properties. It has only a few control parameters as NP (Number of Particles), F (scaling factor) and CR (crossover), which are kept fixed throughout the entire evolutionary process. However, these control parameters are very sensitive to the setting of the control parameters based on their experiments. The value of control parameters depend on the characteristics of each objective function, so we have to tune their value in each problem that mean it will take too long time to perform. We present a new version of the DE algorithm for obtaining self-adaptive control parameter settings that show good performance on numerical benchmark problems.

Tam Bui, Hieu Pham, Hiroshi Hasegawa

Research on a Integrated Real-Time Simulation Platform for Aircraft Control System

In order to meet the requirements of hardware-in-the-loop simulation for aircraft control system, an integrated real-time simulation platform is presented, then its functions, working principal, and architecture are introduced in detail. Analyzed several key technologies such as memory database, real-time simulation and general simulation modeling; with the advantages of high universality, integration and flexibility, this platform can effectively support the development and execution of real-time and hardware-in-the-loop simulation.

Chao Shen, Xiaohang Chang, Jinxia Liu, Jingyan Han

The Fourth Section: Cloud Simulation Technology

The Application of Dynamical Management Based on Ontology-Based Simulation Case-Based Description and Reasoning

To meet the requirement of simulation resource description dynamical management by the technology of simulation system environment dynamically building in Cloud Simulation Platform(CSP), the application of dynamical management based on ontology-based simulation case-based description and reasoning has been presented. This method could generate description intelligently, when simulation users cannot give the exact one, so as to provide the basis for dynamical building in CSP. With the CBR, the paper mainly discussed the ontology-based expression and reasoning. Finally, the description of simulation case and the ontology-based reasoning rule are present to show the feasibility and effectiveness.

Xiayi Gong, Bohu Li, Xudong Chai, Yabin Zhang, Mu Gu

Virtual Machine Task Allocation for HLA Simulation System on Cloud Simulation Platform

A new yet promising technology, Cloud computing, can benefit large-scale simulations by providing on-demand, everywhere simulation services to users. In order to enable multi-task and multi-user simulation tasks with Cloud computing, Cloud Simulation Platform (CSP) is proposed and developed. To promote the running efficiency of HLA systems on CSP, this paper proposes an approach addressing the Virtual Machine task allocation problem, which is divided into two levels of task allocation steps. The first-level uses a heuristic algorithm to optimize the mapping from federates (of HLA system) to virtual machines (of CSP) and aims to achieve load balance on virtual machines in CSP. The second-level dispatches the subtasks of federate to the cores of virtual machines to minimize the makespan (schedule length) of the federate which uses a DAG based list scheduling algorithm: the EST (Earliest-Start-Time) algorithm. Experiments show that the two-level task allocation strategy effectively improves the running efficiency of HLA system on CSP.

Shaoyun Zhang, Zhengfu Tang, Xiao Song, Zhiyun Ren, Huijing Meng

HLA Collaborative Simulation Oriented Virtual Machine Task Scheduling Strategy

Aim at the lack of embedded load balancing mechanism in HLA simulation system and the heterogeneity of resources in the network modeling and simulation platform, the study of the initial deployment of HLA simulation task is performed. At first, a unified description model of the federation is established based upon the repulsion and pull relationship between federates; And then, using the analysis of the unified description model, a first detect first combine based coarse combination algorithm is proposed; Taking full consideration of load balance and the late migration efficiency, a Huffman coding tree based fine-grained combination algorithm is put forwarded. Finally, cloud computing simulation platform—CloudSim is utilized to perform the simulation experiment, the result demonstrates that the algorithm improves the management efficiency, fault tolerance and QoS of the resource.

Zhiyun Ren, Xiao Song, Lin Zhang, Shaoyun Zhang

Scenario Driven Lifecycle Automation of Net-Centric Simulation

Interoperability and process automation are two major problems in realizing collaborated simulation in a net-centric environment. In this paper, we propose a scenario driven architecture to solve these problems. By retrieving 5”W” element from simulation scenario, a data exchange model is generated for promoting interoperability between federations. Meanwhile, the COA (Course of Action) element of the scenario is used to generate the simulation instance lifecycle model which can be used for automating simulation lifecycle. Applications show that formalized simulation scenario enables interoperability between different federations and lifecycle automation of net-centric simulation.

Ying Cai, Rusheng Ju, Xu Xie, Mei Yang, Kedi Huang

Research on Co-simulation Task Scheduling Based on Virtualization Technology under Cloud Simulation

By introducing virtualization technology, cloud simulation platform can break tight coupling between soft simulation resources (OS, software, model, etc) and computing resources, shield the heterogeneity of underlying computing hardware, and flexibly divide computing resources, which makes the simulation task scheduling agile, transparent and efficient. Due to the characteristics of co-simulation: consistency and close coupling of time and space, one abstract description model of both co-simulation task and computing resources in cloud simulation is proposed, and then two task scheduling models based on different objectives and constraints are put forward, including models for green energy-saving and minimal time span respectively. Finally, the aforementioned scheduling models applied in one aircraft virtual prototype co-simulation are discussed in detail which proves their advantages, and also future work is presented.

Chen Yang, Xudong Chai, Faguang Zhang

A Service Encapsulation Method in Cloud Simulation Platform

In a cloud simulation platform, there exist a large number of simulation software tools that need to be encapsulated as services that can be invoked conveniently when required in the product development process. An appropriate architecture for encapsulating and managing these software tools are needed to facilitate the management of these simulation resources. In this paper, the service object-oriented architecture (SOOA) is adopted to construct the service sharing environment for engineering software on the dynamic network, and the SOOA-based two-stage service encapsulation method for engineering software is proposed. With this method, simulation software tools can be encapsulated and deployed as services conveniently without the need of programming, and the encapsulated services can be invoked and accessed conveniently through a standard Web browser via the cloud simulation platform portal.

Wensheng Xu, Lingjun Kong, Nan Li, Jianzhong Cha

CAE Services on Cloud Computing Platform in South Korea

We, KITECH, had developed CAE software for casting industries(foundries) over last 10 years, and distributed the developed CAE package for foundries in south korea. But the gorwth rate of market for CAE technologies becomes slower because of expensive prices of CAE tools and lacks of trials for introducton of new technologies into their manufacturing workplaces. So that we have been developing new concept market for CAE tehcnologies for last 5 years, and built cloud platform services for CAE in south korea, and it is ISC(Internet Simulation Center). We setup cluster computing systems, datacenter for infrastructure, and developed various services and relational interfaces to serve cloud computing services. So that we have loaded 4 CAE contents into our cloud computing platform, and are providing CAE services to domestic users.

Sang-Hyun Cho


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