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Study On Aircraft Scheduling Optimization Based On Improved Genetic Algorithm, Yaohua Li, Wang Lei Jul 2020

Study On Aircraft Scheduling Optimization Based On Improved Genetic Algorithm, Yaohua Li, Wang Lei

Journal of System Simulation

Abstract: Aircraft scheduling was studied, and an optimization model of aircraft assignment based on the objective function of maximize total profit was suggested. It considered its cost and benefits by combining fleet and aircraft. In the view of the feature of this model, the innovation of genetic algorithm chromosome was carried on, and these chromosomes formatted chromosome groups. The groups interior could cross over and mutate, and the probability of crossover and mutation could dynamically adjust in accordance with adaptive values to accelerate the convergence speed, the model was resolved fast in this way. In the process of simulation with …


Control Allocation Method For Split-Drag-Rudders With Asymmetrical Deflection, Xiaobo Qu, Weiguo Zhang, Jingping Shi Jul 2020

Control Allocation Method For Split-Drag-Rudders With Asymmetrical Deflection, Xiaobo Qu, Weiguo Zhang, Jingping Shi

Journal of System Simulation

Abstract: The split drag rudders (SDRs) were usually used for the yaw control of tailless flying wing aircraft with the symmetric deflection mode. This approach was simple and effective, but the upper and lower deflectors of the SDRs were constrained to deflect symmetrically, limiting the distribution and control mode of the deflectors, reducing the maximum available moment in pitch axis and roll axis, affecting the handling performance of the aircraft flying at low speed. A certain flying wing UAV was used as the study model. The CFD method was adopt to investigate the aerodynamic characteristic of SDRs operating in either …


Mixed H2/H∞ Optimal Pid Control For Superheated Steam Temperature System, Weiping Liang, Jiarong Wang Jul 2020

Mixed H2/H∞ Optimal Pid Control For Superheated Steam Temperature System, Weiping Liang, Jiarong Wang

Journal of System Simulation

Abstract: Aiming at the non-linear, large inertial, uncertain parameters and multi-disturbances of the main steam temperature object in power plants, a mixed H2/H∞ optimal PID control scheme was designed. The multiplicative perturbed boundary of the H∞ and the effective range of the PID controller parameters were given under the system being closed-loop stability. An improved gravitational search algorithm was proposed in order to obtain optimum performance indicators. The effectiveness of the algorithm was supported through testing on typical test functions, then the algorithm was applied to optimize the parameters of the main steam temperature system Mixed …


Modeling Method Based On Reachable Set For Safety Path In Autonomous Vehicle Obstacle Avoidance, Cao Kai, Xiaoxiao Huang, Yu Yun, Liu Chun Jul 2020

Modeling Method Based On Reachable Set For Safety Path In Autonomous Vehicle Obstacle Avoidance, Cao Kai, Xiaoxiao Huang, Yu Yun, Liu Chun

Journal of System Simulation

Abstract: In view of problem in all possible uncertain behavior of vehicle unable existed by the traditional path planning algorithm, a modeling method was proposed which deemed a moving vehicle as a hybrid system switching dynamically between continuous and discrete mode, modeled an optimal trajectory for vehicle obstacle avoidance by using a single security target location, and built a safe state reachable set based on the trajectory beam of multiple security target locations. On this basis, the condition of the inevitable collision of vehicle was analyzed, and the optimal control problem with loose constraints for the vehicle obstacle avoidance was …


Orthogonal Experimental Optimization Design For Improving Aerodynamic Characteristics Of Hovering Air Vehicle, Yanan Yu Jul 2020

Orthogonal Experimental Optimization Design For Improving Aerodynamic Characteristics Of Hovering Air Vehicle, Yanan Yu

Journal of System Simulation

Abstract: Vertical hovering MAV model with flexible aerodynamic shape was proposed. The passive adaptive deformation that produced on the aerodynamic shape was designed to absorb disturbance from outside airflow pressure, and furthermore to improve aircraft's disturbance resistance ability. Multiple factors' effects for aircraft's aerodynamic characteristics were analyzed, such as structural geometrical parameters, candidate material properties, and environmental parameters. The orthogonal experimental analysis of aircraft aerodynamic forces was accomplished, which include the forces produced in the horizontal and vertical direction. The significant factors effecting on the flight performance were discussed and the best response value in the selected parameter range was …


Spring Unit Equivalent Model Of Steam Turbo-Generator Radial Fixture, Shouqun Sun, Huifang Wei, Haihui Xu Jul 2020

Spring Unit Equivalent Model Of Steam Turbo-Generator Radial Fixture, Shouqun Sun, Huifang Wei, Haihui Xu

Journal of System Simulation

Abstract: The fixed structure of turbo-generator stator end was studied. Bottom-up modelling method was applied to establish the finite element model. The method calculating the combined stiffness of the connection structure and effective contact area was proposed, which used conical symmetric mid plane. Combined with spring-damper unit, insulated screw was analysed by finite element simulation. The stator winding end as a whole system was for modal analysis. Corresponding natural frequency and vibration model were acquired. Hammering test method and modal testing system were applied to calculate the steam turbine end natural frequency. Compared with the experimental result, the text given …


Dynamic Stochastic Relay Selection Algorithm In Peer-To-Peer Networks, Chengwei Zhang, Wenqing Cheng, Hei Xiaojun Jul 2020

Dynamic Stochastic Relay Selection Algorithm In Peer-To-Peer Networks, Chengwei Zhang, Wenqing Cheng, Hei Xiaojun

Journal of System Simulation

Abstract: A stochastic routing algorithm for selecting appropriate relay nodes in peer-to-peer networks was proposed. This algorithm was constructed using a stochastic programming framework by leveraging the actual delay of local links and the statistical delay distributions of non-local overlay links. In order to approximate the statistical delay distribution of non-local overlay links, the historical delay values of each link were utilized to approximate the link delay distribution. This algorithm was fully distributed and the stochastic link measurement data could be updated between neighboring nodes at a longer time granularity to reduce routing overhead. This algorithm and …


Bifurcation Multi-Path Grooming Algorithm In Multi-Granularity Transport Network, Guangwei Lei, Xingwei Wang, Huang Min, Zhao Yue Jul 2020

Bifurcation Multi-Path Grooming Algorithm In Multi-Granularity Transport Network, Guangwei Lei, Xingwei Wang, Huang Min, Zhao Yue

Journal of System Simulation

Abstract: Recent years, with the rapid development and wide use of multi-granularity transport network, the pressure of backbone transmission network has been alleviated to some extent. However, the growing user demands to the Internet make network power consumption and bandwidth still face severe challenge. To deal with it, a bifurcation multi-path grooming algorithm was proposed and its associated bandwidth allocation strategy was devised to reduce power consumption and blocking rate. The proposed algorithm has been implemented by simulation and the evaluation results show that its performance is better than that of the benchmark.


Research On Modeling Of Pump Model Based On Rbf Neural Network, Qinghui Wu, Qinghuan Shen, Xinjun Wang Jul 2020

Research On Modeling Of Pump Model Based On Rbf Neural Network, Qinghui Wu, Qinghuan Shen, Xinjun Wang

Journal of System Simulation

Abstract: On the basis of research on pump characteristics and pump model, a modeling method based on RBF neural network with K-means clustering algorithm was proposed. With k-means clustering algorithm the center vector and base width parameters, in which lie in the hidden layer, were optimized by input data sample. The weights between the hidden layer and the output layer were optimized by input-output data sample with least squares method. The neural network models of the pump characteristic and pump comprehensive model were separately trained and checked using the detected data. Its results suggest that reasonably choosing the number of …


Recent Advances In Finite Element Simulation Of Machining Processes, Caixu Yu, Chunbin Cai, Huang Cui, Erliang Liu Jul 2020

Recent Advances In Finite Element Simulation Of Machining Processes, Caixu Yu, Chunbin Cai, Huang Cui, Erliang Liu

Journal of System Simulation

Abstract: Recently, the finite element simulation technology has been widely applied in machining simulation and has played an irreplaceable role in the investigations of machining mechanism of metal and composite materials, optimization of cutting parameters,etc. The importance of finite element simulation, commonly used software and material constitutive model were introduced. The latest research progress of the finite element simulation of cutting at home and abroad was summarized, including the simulation of chip morphology, the simulation of cutting force and cutting temperature, tool wear simulation, the machined surface integrity, simulation of the effect of multi-steps cutting on cutting process and finite …


Simulation-Based An Exploratory Analysis Of Drone Air Strike On Saudi Oilfields, Jiajun Zhang, Xiaochao Qian, Jinpeng Zhou, Xuanling Wang, Zhifeng Lu Jun 2020

Simulation-Based An Exploratory Analysis Of Drone Air Strike On Saudi Oilfields, Jiajun Zhang, Xiaochao Qian, Jinpeng Zhou, Xuanling Wang, Zhifeng Lu

Journal of System Simulation

Abstract: The incident of air strike in Sandi Arabia in September 2019 is taken as an example,A rapid analysis method for crisis events based on simulation is proposed. Combining the simulation with the exploratory analysis, the uncertainty of crisis events is comprehensively analyzed and dealt with. According to the public information of the incidents details from Sandi Arabia, Yemen, the combat situation of the air strike is replayed based on the wargaming. The rationality and authenticity of the details in the event statement is verified and can also provide reference to the development and combat research of the “Low, Small …


Multi-Tank Adaptive Scheduling Algorithm And Simulation For Ship Stability Realization, Xiong Yong, Xuanzhuo Liang, Zhang Jia Jun 2020

Multi-Tank Adaptive Scheduling Algorithm And Simulation For Ship Stability Realization, Xiong Yong, Xuanzhuo Liang, Zhang Jia

Journal of System Simulation

Abstract: Aiming at the influence of the oil tank on the floating state and stability of the ship, the multi-tank adaptive dispatching control algorithm to maintain the stability of the ship is studied. The automatic floating state adjustment simulation system of the ship is realized by the WinCC (Windows Control Center) configuration software. For the system architecture, the Boolean logic table is used to construct the connection relationships of the oil tanks, pumps and pipelines, and the amount of oil exchange between the cabins is calculated according to the floating equation, and the balance of the floating state in the …


Simulation-Based Effectiveness Evaluation For System-Of-System Under Multi-Equipment Collaboration, Ma Ning, Shenglin Lin Jun 2020

Simulation-Based Effectiveness Evaluation For System-Of-System Under Multi-Equipment Collaboration, Ma Ning, Shenglin Lin

Journal of System Simulation

Abstract: Complex coordination exists among the various equipment in the system-of-system (SoS) operational process. The influence relationship among the various indexes is ignored in the traditional effectiveness evaluation methods. Aiming at this, a new effectiveness evaluation approach for the SoS is proposed. Numerous evaluation data is analyzed, based on the association rules mining, to obtain the influence among the effectiveness indexes. The networked evaluation index system is constructed, and the effectiveness integration evaluation is realized based on the analytic network process. The feasibility and validity of the proposed method are verified by evaluating the effectiveness of an air defense SoS.


Identification Method For Fractional-Order Systems Based On Haar Wavelet Operational Matrix, Yuanlu Li, Li Teng, Baoying Liu Jun 2020

Identification Method For Fractional-Order Systems Based On Haar Wavelet Operational Matrix, Yuanlu Li, Li Teng, Baoying Liu

Journal of System Simulation

Abstract: Studies have shown that the dynamical systems can be more accurately described by the fractional-order systems because its order can be any number. That’s why the fractional-order systems are being paid more and more attention. However, how to create a fractional-order system is still in the exploratory stage. Considering the nonlocal features of the fractional differentiation, a method for the fractional-order system identification is proposed by taking the Haar wavelet operational matrix. The proposed method can reduce the dimension of the operational matrix by abandoning the high frequency coefficients of the input and output signals so that the buffer …


Classification Of Chest X-Ray Disease Based On Convolutional Neural Network, Huang Xin, Fang Yu, Mengdan Gu Jun 2020

Classification Of Chest X-Ray Disease Based On Convolutional Neural Network, Huang Xin, Fang Yu, Mengdan Gu

Journal of System Simulation

Abstract: The artificial intelligence technology can effectively assist the chest X-ray diagnosis. On the basis of the analysis of Chinese reports of chest X-rays, a labeling method of the thoracic disease classification for the chest abnormal parts is proposed and a dataset of the thoracic disease classification labels is complied. The thoracic disease classification is evaluated through four kinds of convolutional neural networks, AlexNet, VGGNet, ResNet and DenseNet and through three kinds of training methods, direct training, ImageNet pre-training and Chest X-14 pre-training. The result shows that the more complicated convolutional neural network with the more parameters, the better performance …


Study Of Parallelized Graph Clustering Algorithm Based On Spark, Dongjiang Liu, Jianhui Li Jun 2020

Study Of Parallelized Graph Clustering Algorithm Based On Spark, Dongjiang Liu, Jianhui Li

Journal of System Simulation

Abstract: The parallelized graph clustering algorithm is researched. A new parallelized graph clustering algorithm is proposed based on Spark. As the top operation of Spark occupies a lot of memory space, a new algorithm which is used to substitute the top operation is proposed to reduce the memory consumption. By improving bottom up hierarchical clustering algorithm, the speed of the proposed algorithm is improved. A new data filtering method based on the feature of graph data is proposed. By the method, the running time and memory space comsuption is reduced greatly. The reason of the high efficiency of this filtering …


A Multi-Strategy Differential Evolution Algorithm Combined With Neighborhood Search, Can Sun, Xinyu Zhou, Mingwen Wang Jun 2020

A Multi-Strategy Differential Evolution Algorithm Combined With Neighborhood Search, Can Sun, Xinyu Zhou, Mingwen Wang

Journal of System Simulation

Abstract: The difficulties of designing a multi-strategy differential evolution (DE) algorithm are how to select the mutation strategies and allocate these strategies. A multi-strategy DE algorithm combined with the neighborhood search operator is proposed. The population is divided into three subpopulations according to the fitness values, and each subpopulation employs a different mutation strategy and parameter settings to complement the search ability, to balance the exploration and exploitation ability of the whole population. The subpopulation with the best fitness values employs the neighborhood search operator to exploit possible benefit information to guide the search. Extensive experiments are carried out on …


Holiday Highway Traffic Flow Prediction Method Based On Deep Learning, Xiaofeng Ji, Yicheng Ge Jun 2020

Holiday Highway Traffic Flow Prediction Method Based On Deep Learning, Xiaofeng Ji, Yicheng Ge

Journal of System Simulation

Abstract: Accurately predicting highway traffic holiday flow can provide important data for the emergency management of highway. The LSTM-SVR prediction model is established by using the theoretical framework of deep learning. The BP neural network is used to process the sample data, and the data features captured by LSTM are input into the SVR regression layer to realize the traffic flow prediction. Before and after the “Eleventh” Golden Week, the LSTM-SVR model was verified by using the traffic monitoring data of the intermodulation station in Lijiang City and the prediction results were compared with the others. It is found that …


Study On Evacuation Cellular Automaton Model Considering Avoidance Behavior, Yinghua Song, Zhang Yu, Feizhou Huo, Lü Wei, Yaping Ma Jun 2020

Study On Evacuation Cellular Automaton Model Considering Avoidance Behavior, Yinghua Song, Zhang Yu, Feizhou Huo, Lü Wei, Yaping Ma

Journal of System Simulation

Abstract: To study the avoidance behavior in the evacuation process, a cellular automaton model considering avoidance behavior is established. The model divides the evacuees into avoiders and transferees, and reflects the avoidance behavior by changing the selected probability of evacuees. The impact of the avoidance behavior on the efficiency and evacuation process in different personnel ratios and different initial positions is analyzed. The results show that the avoidance behavior can optimize the evacuation sequence, improve the evacuation efficiency and reduce the risk of evacuation process. The evacuation time is significantly reduced when the probability of avoidance exceeds the thread value, …


Crowd Evacuation Model Based On Improved Pso Algorithm, Changhua Li, Chenggong Bi, Zhijie Li Jun 2020

Crowd Evacuation Model Based On Improved Pso Algorithm, Changhua Li, Chenggong Bi, Zhijie Li

Journal of System Simulation

Abstract: Aiming at the poor local optimization ability and easy premature convergence of the particle swarm optimization (PSO) algorithm in evacuation simulation, a crowd evacuation model based on the improved PSO algorithm is proposed. On the basis of the original model, factors such as the forward driving force, exclusion driving force and panic degree of evacuees are introduced. According to the environmental factors and crowd movement, evacuees' direction is dynamically adjusted, and tends to the ideal exit under the optimal exit selection mechanism. The parametric simulation experiment of evacuation efficiency is carried out for the physical factors such as the …


A Discrete Krill Herd Algorithm For The No-Wait Flow Shop Scheduling Problem, Changping Liu, Zhenfu Jian, Wenhan Fu Jun 2020

A Discrete Krill Herd Algorithm For The No-Wait Flow Shop Scheduling Problem, Changping Liu, Zhenfu Jian, Wenhan Fu

Journal of System Simulation

Abstract: A discrete krill herd algorithm (DKH) is proposed to solve the no-wait flow shop scheduling problem (NWFSP) with the makespan criterion. Based on the characteristics of the optimization mechanism, the notion of “virtual food” in krill herd algorithm and the influenced crossover rules between krill individuals are defined. The concept and calculation method of the individual distance are redefined to measure the neighborhood range to realize the information exchange. The local search strategies of random swap, inverse and insert operator are employed to enhance the local search ability of DKH, and the multiple initialization strategies are redesigned to promote …


3d Reconstruction Of Uav Sequence Image Based On Motion Structure Graph, Yuhao Wu, Xuefeng Cao, Jinchao Peng, Lianrui Xu Jun 2020

3d Reconstruction Of Uav Sequence Image Based On Motion Structure Graph, Yuhao Wu, Xuefeng Cao, Jinchao Peng, Lianrui Xu

Journal of System Simulation

Abstract: UAV sequence image has the characteristics of high overlap and strong topological connection. Aiming at the inefficient and unstable in processing the large-scale UAV images of the existing incremental 3D reconstruction algorithm, a 3D reconstruction method based on motion structure graph is proposed. The image matching index is established by using the geolocation information and IMU data to improve the image matching efficiency, and the random motion consistency algorithm is used to calculate the relative motion; motion structure graph is used to represent the "association" between images, and closed-loop detection algorithm is used to eliminate the false edges. Under …


Modeling And Simulation Of Quadrotor Uav With Vector Thrust Based On Backstepping, Zhou Nan, Wang Liang, Jianliang Ai Jun 2020

Modeling And Simulation Of Quadrotor Uav With Vector Thrust Based On Backstepping, Zhou Nan, Wang Liang, Jianliang Ai

Journal of System Simulation

Abstract: Combined with characteristics of the traditional quadrotor and the quad tilt-wing UAV, a quadrotor UAV with the vector thrust (VTQ) is proposed. This UAV has the ability of vertical take-off and landing and hovering, as well as the high maneuverability of the traditional quad tilt-wing UAV. It has the ability of completing the diversified tasks by being specified the desired yaw angle and pitch angle. Control system adopts the method of the layered design. The upper layer is the position control system, the lower layer is the attitude control system, and the control laws are both designed by the …


Research On Modeling Technology For Hard Cutting Process, Caixu Yue, Liu Xin, Jiang Nan, Xianli Liu, Genghuang He, Lingxiang Li Jun 2020

Research On Modeling Technology For Hard Cutting Process, Caixu Yue, Liu Xin, Jiang Nan, Xianli Liu, Genghuang He, Lingxiang Li

Journal of System Simulation

Abstract: The hard cutting has the features of the high maching flexibility, economical efficiency and environmental friendliness, and is widely used in automobile industry, bearing industry, hydraulic industry, etc. The simulation modeling not only plays an important role in predicting the performance of the hard machining and optimizing machining parameters, but also better reflects the nature of the machining and provides the theoretical guidance to the actual machining. The simulation modeling methods of the hard cutting at home and abroad are introduced, and the chip formation, cutting force, cutting temperature, tool wear and machined surface quality are summarized, and the …


Spatiotemporal Saliency Detection Of Infrared Videos Based On Gestalt-Guided Optimization, Wang Xin, Chunyan Zhang, Ning Chen Jun 2020

Spatiotemporal Saliency Detection Of Infrared Videos Based On Gestalt-Guided Optimization, Wang Xin, Chunyan Zhang, Ning Chen

Journal of System Simulation

Abstract: A spatiotemporal saliency detection method based on Gestalt optimization is proposed. A method based on the multi-scale local sparse representation and local contrast measure is proposed to compute the spatial saliency in the infrared videos. A multi-frame symmetric difference approach is adopted to detect the temporal saliency. To get the initial spatiotemporal saliency map, a scheme based on the mutual-consistency is designed to fuse the spatial and temporal saliency maps adaptively. A Gestalt-guided optimization method is designed to calculate the final spatiotemporal saliency map. Experimental results show that the proposed method can effectively detect the spatiotemporal saliency of infrared …


Virtual-Point-Light Sampling Algorithm Based On Indirect Illumination Clustering Of Visible Scene Region, Chen Sheng, Chunyi Chen, Qiwei Xing, Chaozhi Yang Jun 2020

Virtual-Point-Light Sampling Algorithm Based On Indirect Illumination Clustering Of Visible Scene Region, Chen Sheng, Chunyi Chen, Qiwei Xing, Chaozhi Yang

Journal of System Simulation

Abstract: Focusing on the accuracy of indirect illumination calculation, an improved view-sensitive virtual point light (VPL) sampling method is proposed. The visible shading points are clustered according to the positions and normal vectors. The product of the contribution of VPLs on the representative visible shading points and the number of VPLs belonging to the same class is calculated, and the sum of the products is treated as the estimation of the indirect illumination which constructs the cumulative distribution function (CDF). On the basis of the CDF, the VPLs of calculating the indirect illumination on every visible shading point are selected. …


Intelligent Evaluation Of Simulation Training For Aerial Ammunition Technical Support, Xu Gang, Zhang Lei, Tian Lei Jun 2020

Intelligent Evaluation Of Simulation Training For Aerial Ammunition Technical Support, Xu Gang, Zhang Lei, Tian Lei

Journal of System Simulation

Abstract: Quantitative evaluation is an important part of the simulation training of the Aviation Ammunition technical support. In order to realize the automatic evaluation of the simulation training, intelligent evaluation technology is introduced, and a prediction model based on Sigmoid regression is proposed. On the basis of analyzing the linear relationship of the sample data of the performance indicators, a subset of the characteristic indicators is selected as the input of the prediction mathematical model. In order to avoid the gradient descent method falling into the local solution problem, the gradient descent + PSO algorithm is presented. After testing the …


Dynamics Modeling And Simulation Of Gait Rehabilitation Robot Based On Lie Groups And Lie Algebras Theory, Bingjing Guo, Jianhai Han, Xiangpan Li, Yan Lin Jun 2020

Dynamics Modeling And Simulation Of Gait Rehabilitation Robot Based On Lie Groups And Lie Algebras Theory, Bingjing Guo, Jianhai Han, Xiangpan Li, Yan Lin

Journal of System Simulation

Abstract: A pneumatic-driven gait rehabilitation robot based on rigid mechanism and flexible driver is designed. To explore the dynamic characteristics of the human-robot harmony system constructed by patients and the exoskeleton robot, the dynamic models of human, robot and human-robot system in different gait phases are established based on Lie group and Lie algebra theory. The driving and energy characteristics of three rehabilitation training modes of passive, active assistance and resistance are analyzed. The robot joint driven moment and the human active moment are simulated to verify the Lie group and Lie algebraic modeling method and the dynamic model. It …


Cae Modeling And Fault Simulation For Instantaneous Action Mechanism With High Power And Heavy Load, Teng Lin, Tang Tang, Qiaojie Li, Chen Ming Jun 2020

Cae Modeling And Fault Simulation For Instantaneous Action Mechanism With High Power And Heavy Load, Teng Lin, Tang Tang, Qiaojie Li, Chen Ming

Journal of System Simulation

Abstract: A FEM simulation of a high voltage circuit breaker under actual conditions is proposed to solve the high-frequency vibration and mechanical failure problems caused by the realistic factors such as the clearance and structural elasticity of the breaker. Its operating characteristic under the high power pulse load is analyzed and the influence of the spring stiffness and dimension error on the breaker’s motion characteristics was predicted. On the basis of the dependency of the breaker’s mechanical characteristics on potential faults, critical parameters and design defects are established. The new FEM of the a high-voltage circuit breaker will replace the …


Augmented Reality Interactive Media System For Ancient Buildings Based On Servomotor, Xingquan Cai, Zhe Yang, He Xin, Chen Chao Jun 2020

Augmented Reality Interactive Media System For Ancient Buildings Based On Servomotor, Xingquan Cai, Zhe Yang, He Xin, Chen Chao

Journal of System Simulation

Abstract: Augmented reality is usually limited to the screen devices, and is difficult to realize the stereoscopic dynamic interaction of multiplayer. A large screen interactive display method based on the servo motor is prsented. The serial communication program to control the scanning reciprocating mode of the servo is designed. By using the edge detection methods and deep normal texture processing, the line draft of the ancient buildings is rendered. By combining the hardware and presentation application modules, the user interaction capabilities and seasonal effects is added to the showcase application modules. The experimental results show that the interactive media system …