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2019

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Articles 841 - 870 of 1263

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Improved Intrusion Weed Algorithm For Solving Flexible Job Shop Scheduling Problem, Zhang Xin, Li Ke, Dahu Yan, Zhicheng Ji Jan 2019

Improved Intrusion Weed Algorithm For Solving Flexible Job Shop Scheduling Problem, Zhang Xin, Li Ke, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: An improved invasive weed optimization algorithm is proposed for solving multi-objective flexible job shop scheduling problem (FJSP) with released time and delivery date. The minimum completion time of jobs, the maximum work load of machines and the total work load of all machines are taken as the optimization goals to establish a FJSP model. A random key encoding scheme based on transformed sequences is proposed and a mapping relationship is set up between the continuous space and the discrete space of FJSP. An adaptive Gauss mutation operator is introduced to diversify the population in the process of weed breeding. …

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Indoor Positioning Algorithm Based On Zigbee And Improved Radio Frequency Identification, Dahu Yan, Yangjie Xu Jan 2019

Indoor Positioning Algorithm Based On Zigbee And Improved Radio Frequency Identification, Dahu Yan, Yangjie Xu

Journal of System Simulation

Abstract: Since the traditional RFID positioning technology relies on the Internet and is especially constrained by the positioning distance in the process of positioning the tags with poor positioning accuracy, a novel positioning algorithm is proposed based on the ZigBee and improved VIRE algorithm. By using the proposed algorithm, ZigBee nodes are adopted to achieve the formation of network information transmission to replace the traditional wired communication. Gaussian-Kalman filter is used to deal with the sampling data of the limited preselected reference node signal strength. The algorithm adopts signal propagation loss model to calculate the RSSI values of virtual reference …

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Motif-Based Intelligent Mission Planning Method For Uav Swarms, Weiping Wang, Wang Tao, Xiaobo Li, Jiajie Liu Jan 2019

Motif-Based Intelligent Mission Planning Method For Uav Swarms, Weiping Wang, Wang Tao, Xiaobo Li, Jiajie Liu

Journal of System Simulation

Abstract: Due to the restriction of communication among UAV swarms, configuration of UAV swarms needs to be changed dynamically along with the task changes. How to do mission planning under limited communication for UAV swarms has become a hot and difficult question. The UAV combat network motif model framework is built based on the function, and six different types of basic motif model are proposed. Through capability demand and communication demand, a task is mapped into types and numbers of motifs which are required to complete the task. The ‘multidimensional dynamic scheduling list’ method is used to automatically generate mission …

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A Hierarchical Control Framework And Key Algorithms Of Multi-Swarm Persistent Surveillance, Wang Tao, Weiping Wang, Xiaobo Li, Jing Tian Jan 2019

A Hierarchical Control Framework And Key Algorithms Of Multi-Swarm Persistent Surveillance, Wang Tao, Weiping Wang, Xiaobo Li, Jing Tian

Journal of System Simulation

Abstract: Persistent surveillance is a typical application of multi-swarm aerial vehicle systems (UAVs). And dynamic deployment for multi-swarm UAVs in persistent surveillance has been proved to be a complex problem, especially when the self-adjustment is required to adapt the time-sensitive environment. This paper proposes a multi-swarm hierarchical control scheme and key algorithms. We design the digital turf potential field model to approximate the evolving and interactive information of time-sensitive target features and surveillance effects. Moreover, using the digital turf potential function of each grid as the data point weight, we design a grid-based weighted data-clustering algorithm for the dynamic assignment …

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Modeling And Simulation Of Bank Network System With Internet Monetary Fund, Fan Hong, Wang Ke, Zhijie Wang Jan 2019

Modeling And Simulation Of Bank Network System With Internet Monetary Fund, Fan Hong, Wang Ke, Zhijie Wang

Journal of System Simulation

Abstract: There are some internet monetary funds such as “Yuebao” becoming an important part of banking system in China in recent years. What kinds of the characteristics and stability of the banking system running are the most urgent problem needed to be solved. Based on the method of the network system dynamics, the dynamical relationship between the internet money fund and traditional bank network is analyzed, and a dynamical algorithm and process of borrowing-lending are provided. A simulation model of banking network system with the internet monetary fund is constructed, which can realize the running process of the banking network …

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Modeling And Simulation Of Missile Defense M/M/N Queueing System, Longyue Li, Fuxian Liu, Huizhen Zhao Jan 2019

Modeling And Simulation Of Missile Defense M/M/N Queueing System, Longyue Li, Fuxian Liu, Huizhen Zhao

Journal of System Simulation

Abstract: To simulate the process of ballistic missile defense and to study the effectiveness of defense, the M/M/N queueing system of missile defense was modeled and simulated. A queueing modeling framework was given to explain the meaning and distribution of related parameters. The M/M/N/N and M/M/N/C queueing models were proposed for short defense depth and long defense depth respectively, and the single target channel and the multiple target channels were distinguished in each model. How to deal with the different types of missile defense system based on equivalent replacement method were also considered. Simulation examples verified the main …

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Soft Shadow Rendering Algorithm Based On Gpu’S Shadow Line, Shanxiao Gao, Wu Xian Jan 2019

Soft Shadow Rendering Algorithm Based On Gpu’S Shadow Line, Shanxiao Gao, Wu Xian

Journal of System Simulation

Abstract: To solve the problem of soft shadow rendering algorithm on shaded body surfaces, a new algorithm based on shadow lines which can render better soft shadow with less cost computation overhead is presented. GPU is used to create shadow lines which include starting point, ending point and shading value. The computer shader (CS) is used to amend the shading value by inverse distance weighting function. In the phase of shadow rendering, the shadow lines dataset is used to calculate the current pixel's shading value by trigonometric interpolation. Experimental result shows that the algorithm can solve the soft shadow …

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Simulation And Analysis Of Forced Caving Blasting Scheme For Overburden Steep Inclined Strata In Coal Mining, Tiejun Cui, Yundong Ma, Laigui Wang Jan 2019

Simulation And Analysis Of Forced Caving Blasting Scheme For Overburden Steep Inclined Strata In Coal Mining, Tiejun Cui, Yundong Ma, Laigui Wang

Journal of System Simulation

Abstract: According to the actual situation of overburden steep inclined strata with horizontal fracture, the reasonable goaf forced caving blasting schemes are studied. Considering overburden characteristic and representative, two schemes are put forward with the attachment perpendicular to their break point locations. By setting different places of blasting points, the different directions of blasting and blasting area are determined, and the overlying strata movement and development characteristics of blasting fracture are analyzed. The overlying strata movement range is larger and can develop to the surface after blasting; The conclusion is that the influence range of the fracture is wide in …

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Flow Field Analysis Of Pipeline Pig Receiving Trap, Chuanjun Han, Yu Cheng, Xingzhi Duan, Li Qi Jan 2019

Flow Field Analysis Of Pipeline Pig Receiving Trap, Chuanjun Han, Yu Cheng, Xingzhi Duan, Li Qi

Journal of System Simulation

Abstract: To study the influence of piping diameter on the flow field characteristics when pig receiving trap is working, the finite element model of pig receiving trap whose type is P6.3MPa DN700/DN600 was established, and the effects of the diameters changes of vent pipe and blow-off pipe were simulated. The effects caused by the pig running speeds on the flow field of the pig receiving trap were studied. The results show that in the pig receiving trap, there is the maximum pressure in the left side of pig staying and the pressure begins to decrease and easy to form swirls …

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Risk Analysis Of Semitrailer Overtaking On Curved Sections Based On Dynamic Simulation, Zhang Chi, Qi Chen, Xiaomin Yan, Dongjian Shao, Zhang Min Jan 2019

Risk Analysis Of Semitrailer Overtaking On Curved Sections Based On Dynamic Simulation, Zhang Chi, Qi Chen, Xiaomin Yan, Dongjian Shao, Zhang Min

Journal of System Simulation

Abstract: To study the safety of semitrailers corner overtaking behavior, the dynamic model of vehicle, the road model and the drivers' aiming trajectory model were developed by multi-body dynamics simulation software TruckSim. The semitrailers were simulated in separate working conditions by changing the super-elevations, circular curve radius, vehicle turning radius and speed. Lateral load transfer rate was invoked as the evaluation index for evaluating the vehicle's safety. The model of six axle semitrailer side tumbling stability prediction was established through the Spss regression; the risk of overtaking on five separate bends of a western highway was evaluated by the model. …

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De-Noising Method Of Eeg Signal Based On Mmtd And Wavelet Hard-Threshold, Guoqiang Yan, Ningning Zhou, Shaobai Zhang Jan 2019

De-Noising Method Of Eeg Signal Based On Mmtd And Wavelet Hard-Threshold, Guoqiang Yan, Ningning Zhou, Shaobai Zhang

Journal of System Simulation

Abstract: To overcome the shortage of losing partial important information of hard-threshold method with EEG signal de-noising process, a novel de-noising method based on the combination of measuring of medium truth degree (MMTD) and EEG is proposed. By decomposing noisy signals of wavelet transform, handling threshold of high-frequency wavelet coefficients in every layer, and reconstructing post-processing of the wavelet coefficients, the purpose of noise elimination can be guaranteed. Under different noise intensity, the experimental results show that the MAWH (MMTD and wavelet hard-threshold) method has perspective of lower RMSE and higher SNR compared to hard-threshold and soft-threshold.

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Important Object Recognition Method For C4Isr System Based On Operation Traffic Mining, Zhou Fang, Chu Wei, Wendi Cheng Jan 2019

Important Object Recognition Method For C4Isr System Based On Operation Traffic Mining, Zhou Fang, Chu Wei, Wendi Cheng

Journal of System Simulation

Abstract: Considering the problem of vital object recognition for C4ISR system under confrontation condition, a vital object recognition method based on operation traffic mining is proposed. The system operation traffics are collected, the operation data packet describing model is established based on six attribute group described method. The operation traffic association matrix and connectivity matrix are built based on the source IP and destination IP address on data packet. The inflow and outflow operation traffics about system node are counted, and the system vital computation model is established based on statistical traffics as the measurement criteria of system …

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Satisfactory Fault-Tolerant Control Of Nncs Under Event-Triggered Sparse Data Transmission, Yajie Li, Li Wei Jan 2019

Satisfactory Fault-Tolerant Control Of Nncs Under Event-Triggered Sparse Data Transmission, Yajie Li, Li Wei

Journal of System Simulation

Abstract: Adopting the discrete event-triggered communication scheme (DETCS), the satisfactory fault-tolerant control of nonlinear networked control system (NNCS) under the sparse data transmission circumstance was studied. Based on the background of event-triggered sparse data transmission, a closed-loop model with actuator failure and actuator saturation was established. Based on Lyapunov-Krasovskii function and the safety degree definition proposed in this paper, a sufficient condition was presented for NNCS with the generalized H?/H2 performance under the case of actuator saturation and actuator failure, which was the contractively invariant set of fault-tolerance with α-safety degree, and …

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Sliding Backstepping Mode Control For Flight Simulator Servo Based On Disturbance Compensation And Differentiator, Huibo Liu, Shanglei Liu Jan 2019

Sliding Backstepping Mode Control For Flight Simulator Servo Based On Disturbance Compensation And Differentiator, Huibo Liu, Shanglei Liu

Journal of System Simulation

Abstract: Considering the uncertain factors in flight simulator servo system, such as friction torque and modeling error, a sliding backstepping mode control strategy based on the nonlinear extended state observer (NESO) and differentiator was put forward. The uncertain factors were defined as compound disturbances, and the NESO was used for observations in combination with real-time compensations that reduced impact on the system brought by disturbances. Differentiator was used to estimate the system state variables, hence preventing the noise amplifications caused by the difference method; law design came under the control of a sliding backstepping mode controller designed in accordance with …

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Aerodynamic Noise Generating Mechanism Of Corbula Type Throttle Valves, Yueqin Li, Xiao Fei, Fan Ming, Xiaodong Xu Jan 2019

Aerodynamic Noise Generating Mechanism Of Corbula Type Throttle Valves, Yueqin Li, Xiao Fei, Fan Ming, Xiaodong Xu

Journal of System Simulation

Abstract: The throttle mechanism of pneumatic noise and the noise spectrum characteristics of corbula type throttle valve are studied by targeting on aerodynamic noise problems caused by gas when flowing through the corbula type throttle valve, the method of CFD software with acoustic software simulationis used as well. The studies have showed that when the flow of fluid flows through shrink section, it can be effected by throttling effect, the speed of gas on the hole exit increases rapidly to form under-expanded supersonic jet, causing strong turbulence and shock wave noise. The conclusionis that the construction of throttling …

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Key Points Analysis And Simulation For System Design Of Airborne Was-Gmti Radar, Yan He, Daiyin Zhu Jan 2019

Key Points Analysis And Simulation For System Design Of Airborne Was-Gmti Radar, Yan He, Daiyin Zhu

Journal of System Simulation

Abstract: Wide area surveillance-ground moving target detection (WAS-GMTI) mode is one of the important modes for most multi-functional airborne radar. System design of the WAS-GMTI mode can affect the final moving targets detection and tracking abilities to a great extent. Therefore, research focuses on the system design of multi-channel WAS-GMTI radar system. The expression of WAS-GMTI radar echo (including the crab angle) is derived. Signal to noise ratio (SNR) and clutter to noise ratio (CNR) are presented. These are the preparations and foundations for the further discussion. Four key points are detailedly analyzed in the process of system design of …

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Collision Avoidance Performance Improvement For Tcas In Multi-Aircraft Situations Based On State Prediction, Tang Jun, Fen Zhu, Wan Yu, Songyang Lao Jan 2019

Collision Avoidance Performance Improvement For Tcas In Multi-Aircraft Situations Based On State Prediction, Tang Jun, Fen Zhu, Wan Yu, Songyang Lao

Journal of System Simulation

Abstract: Currently the density of the airspace increases with the air traffic flow increasing significantly, and therefore the conflict occurrence possibility of two or multiple aircraft raises. However, the traffic collision avoidance system （TCAS） may not be able to resolve all the collision problems of multi-threat situation. There is an active demand to improve its performance in multi-threat situation. This paper mathematically describes the traditional TCAS anti-collision mechanism, and achieves its expansion in the horizontal direction, thus proposes the improvement algorithm of collision avoidance performance for TCAS in multi-aircraft situations based on the state prediction. Adjusting the height and vertical …

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Cloud Fraction Of Satellite Imagery Based On Convolutional Neural Networks, Xia Min, Maoyang Shen, Jianfeng Wang, Yangguang Wang Jan 2019

Cloud Fraction Of Satellite Imagery Based On Convolutional Neural Networks, Xia Min, Maoyang Shen, Jianfeng Wang, Yangguang Wang

Journal of System Simulation

Abstract: Cloud fraction is the basis for the application of meteorological satellite. Existing methods cannot use all the characteristics and optical parameters of the satellite cloud, which results in the inaccuracy of cloud detection and cloud fraction. In order to solve this problem, convolutional neural network is used for cloud detection. Based on the improved convolutional neural network, the satellite cloud image is divided into thin cloud, thick cloud and clear sky. Based on the cloud detection, an improved spatial correlation method is used for cloud fraction. The results for Chinese HJ-1A/B satellite imagery show that convolutional neural network can …

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Evaluation Model On The Vulnerability Of Mining Area Ecosystem Based On Object-Function Petri Net, Su Jia, Guangqiu Huang Jan 2019

Evaluation Model On The Vulnerability Of Mining Area Ecosystem Based On Object-Function Petri Net, Su Jia, Guangqiu Huang

Journal of System Simulation

Abstract: Introducing the concept of function into traditional object Petri net, a new evaluation model of ecosystem vulnerability named object-function Petri net model (OFPNEM) was put forward. The facilitating and suppressing factors of the ecosystem degradation were analyzed in this evaluation model. Trigger conditions of vulnerability were depicted as transitions and the state of ecosystem in the process of change were depicted as object places. Logical causality of environmental degradation could be represented directly. Furthermore, evaluation model on the vulnerability of mining area ecosystem based on object-function Petri net was proposed. Through object-function Petri net, combining the rules of model, …

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Key Frame Extraction For Slam Based On Spatio-Temporal Slices, Xinliang Zhang, Li Yang, Yunji Zhao Jan 2019

Key Frame Extraction For Slam Based On Spatio-Temporal Slices, Xinliang Zhang, Li Yang, Yunji Zhao

Journal of System Simulation

Abstract: To deal with the data redundancy and computational complexity of the mobile robot 3D visual SLAM (simultaneous localization and mapping), a key frame extraction technique based on spatio-temporal slices is proposed. Based on the analysis of the texture characteristics of the spatio-temporal slices, it yields that the motion state of the image acquisition device can be represented by the slope change of the texture. The similarity degree between two adjacent slices is measured to find out the key frame by use of the nearest neighbor pixel-matching algorithm, which can accurately describe the motion state of the device …

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Three Dimension Tolerance Analysis And Optimization Based On 3dcs, Qiaofeng Meng, Linxuan Zhang, Linzheng Yin, Zhixia Hou, Zou Fang Jan 2019

Three Dimension Tolerance Analysis And Optimization Based On 3dcs, Qiaofeng Meng, Linxuan Zhang, Linzheng Yin, Zhixia Hou, Zou Fang

Journal of System Simulation

Abstract: According to the tolerance allocation and optimization problems in engineering practice, the vector loop model is established by using the concept of vector, and the improved scheme based on the idea of "dichotomy" method is explored. Through the virtual assembly process of a certain model car, the rear cover and tail light are mounted on the white body. Based on 3DCS dimensional tolerance analysis and optimization of simulation, it is proved that the improved scheme with some advanced and practical property has great superiority compared to the original equal tolerance allocation method. It can solve the practical problems faced …

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Numerical Simulation Analysis Of The Effects Of Flight Angle And Bend-Fold On Bird-Like Flapping-Wing Air Vehicle, Yonggang Yang, Hanping Su, Xindong Gu, Yanqing Chen Jan 2019

Numerical Simulation Analysis Of The Effects Of Flight Angle And Bend-Fold On Bird-Like Flapping-Wing Air Vehicle, Yonggang Yang, Hanping Su, Xindong Gu, Yanqing Chen

Journal of System Simulation

Abstract: Aiming at the multi-parameter coupling problems of flapping-wing flight of birds, a 3D model of bird-like flapping-wing air vehicle (FAV) is established based on overall dimensions of bird. A multi-degree-of-freedom motion model of “swing-torsion-bending and folding” is built. The XFlow is used to analyze the effects of flight angle and flapping-wing bending-folding. Research results show that peak values of lift coefficient and drag coefficient change with different flight angles; at the zero flight angle, minimum mean drag coefficient and maximum lift-drag ratio will be achieved and avail to level flight. Caused by the bending-folding effect, violent vortex and negative …

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Numerical Study On Energy Absorption Mechanism Of Sandwich Plates Under Blast Loading, Jinlei Mu, Shaosong Min, Peng Fei Jan 2019

Numerical Study On Energy Absorption Mechanism Of Sandwich Plates Under Blast Loading, Jinlei Mu, Shaosong Min, Peng Fei

Journal of System Simulation

Abstract: In order to study the anti-explosion ability and energy absorption mechanism of the sandwich plates under blast loading, the FEM software Abaqus/Explict is used to simulate the response process of the solid plate and the sandwich plate. The solid plate is modeled with shell elements and continuum elements respectively. The results show the elements type has little effect on the results. During the same condition the deformation of the front plate is bigger than the solid plate, while the deformation of the back plate is smaller than the solid plate. The external force work mainly converses the kinetic energy …

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Bound Analysis Of Signal Processing Method On Laser Doppler Velocity & Vibration Measurement, Peng Xiang, Liu Bo Jan 2019

Bound Analysis Of Signal Processing Method On Laser Doppler Velocity & Vibration Measurement, Peng Xiang, Liu Bo

Journal of System Simulation

Abstract: Laser Doppler measurement technology has attracted more and more attention and application in the field of high precision measurement. For different signal characteristics and processing methods, there are different constraints of the measurement, which would determine the measurement precision and accuracy. Based on the principle of laser Doppler velocity & vibration measurement and from the perspective of digital signal processing, the constrains related to the sampling rate, data length and time interval are analyzed. The time-interval homogenization processing method of the second sampling data, and the effect on the measurement range of aliasing about reference light frequency and signal …

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A Study Of Adaptive Simulated Annealing Particle Swarm Optimization (Asapso) Algorithm For Building Pipe Routing Design, Changtao Wang, Xiaotong Sun, Zhonghua Han, Zhu Yi Jan 2019

A Study Of Adaptive Simulated Annealing Particle Swarm Optimization (Asapso) Algorithm For Building Pipe Routing Design, Changtao Wang, Xiaotong Sun, Zhonghua Han, Zhu Yi

Journal of System Simulation

Abstract: To solve the building pipe routing design problem, a mathematical model was formulated. The length of pipe, the number of bends and the laying area were taken as the comprehensive evaluation indexes. Adaptive Simulated Annealing Particle Swarm Optimization (ASAPSO) algorithm was proposed for optimization. In the ASAPSO algorithm, a self-adaptive parameter adjusting strategy and simulated annealing algorithm adjusting the optimal particle location were introduced to enhance the capacity in escaping from the local optimal. A new population initialization method based on the cost of selection probability was designed at the initial population. The simulation showed that compared with the …

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Mining Method Of Crop Spectral And Image Correlation Modelbased On Spatio-Temporal Information, Ronghua Gao, Qifeng Li, Jingqiu Gu, Sun Xiang Jan 2019

Mining Method Of Crop Spectral And Image Correlation Modelbased On Spatio-Temporal Information, Ronghua Gao, Qifeng Li, Jingqiu Gu, Sun Xiang

Journal of System Simulation

Abstract: When crop disease occurs, it is often displayed in the leaf, and the appearance and internal structure of the crop are changed, and the growth environment also has a certain influence on the disease. The growth environment, leaf RGB images and spectral images are fused to study the sparse feature recognition method of crop diseases based on information combination of multi spectral images. In this paper, a spatial-temporal information mining method for crop spectral and image correlation models is studied. The correlation between spectral reflectance characteristics of crop diseases and crop development, health status and growth conditions are analyzed …

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A Practical Approach For Building The Model Family’S Framework Of A Simulation System, Xiaocheng Liu, Bin Chen, Xiaogang Qiu Jan 2019

A Practical Approach For Building The Model Family’S Framework Of A Simulation System, Xiaocheng Liu, Bin Chen, Xiaogang Qiu

Journal of System Simulation

Abstract: The model architecture of a simulation system is derived from its family’s framework, and the building approach is the first issue to be tackled to build a simulation system. Considering the experience for building model family’s framework of some typical simulation systems and the recent development of modeling technology, this paper gives a measure-centred guidable procedure for building the model family’s framework of a simulation system, summarizes its basic rules, as well as lists some key technologies and supporting tools. The approach describes step-by-step the process of framework building by two phases (eight steps). Our proposed approach has been …

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Edge-Side Simulation Method And Framework Based On Micro-Services, Yanlong Zhai, Wenxin Sun, Tianhong Bao, Yang Kai, Duzheng Qing Jan 2019

Edge-Side Simulation Method And Framework Based On Micro-Services, Yanlong Zhai, Wenxin Sun, Tianhong Bao, Yang Kai, Duzheng Qing

Journal of System Simulation

Abstract: Aiming at the multi-devices, big data and low-latency simulation requirements in the Internet of Things, we define a concept of edge-side simulation and a simulation mode based on micro-services referring to the computational characteristics and architecture of edge computing and fog computing. For the link constraint and high-latency processing defects of "cloud simulation", a lightweight edge-side simulation platform framework combining edge computing and fog computing is designed, and the simulation speed is further accelerated by real-time simulation with LVC simulation system. Compared with the existing simulation frameworks, the edge-side simulation framework has the remarkable features of lightweight, high real-time, …

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Research On Battle Damage Assessment Method Of Aggregating Target In Theater-Level, Qihao Hou, Yiping Yao, Cao Xiang Jan 2019

Research On Battle Damage Assessment Method Of Aggregating Target In Theater-Level, Qihao Hou, Yiping Yao, Cao Xiang

Journal of System Simulation

Abstract: The damage adjudication model in the theater-level combat simulation is the key to judge the target damage status and evaluate the attack process. The current research mainly focuses on the abstract modeling of single ground target, and the needs of the damage assessment of ground aggregation targets in large-scale joint operations cannot be met. The ground aggregation target is decomposed into different sub-targets through the structure tree, and the sub-target value is given to determine the main attacked target. Standard sub-targets are created based on the sub-target's shape and presence or absence of protection. The mapping relationship between …

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Volume Rendering Viewpoint Selection Based On Adaptive Scaleable Chaotic Particle Swarm Optimization, Yanyang Zeng, Zehao Zhang, Yunxia Feng Jan 2019

Volume Rendering Viewpoint Selection Based On Adaptive Scaleable Chaotic Particle Swarm Optimization, Yanyang Zeng, Zehao Zhang, Yunxia Feng

Journal of System Simulation

Abstract: People often perform volume rendering viewpoint selection by means of manual exploration. However, when the volume data is large, it often takes a lot of time to reduce the efficiency. An adaptive scaling chaotic particle swarm optimization algorithm is proposed for the automatic selection of viewpoints in volume rendering. The algorithm introduces image information entropy to evaluate the quality of images corresponding at different viewpoints. The entropy value is used as the basis for optimizing the viewpoint and the fitness value of the particle swarm optimization, so as to realize the intelligent and automatic choice, and finally obtain the …

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