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Articles 4831 - 4860 of 12547

Full-Text Articles in Computer Engineering

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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Power Control Algorithm Based On Non-Cooperative Game Theory Of Wbans, Xu Yong, Mengya Ke, Fen Liu, Qianming Zha Jan 2019

Power Control Algorithm Based On Non-Cooperative Game Theory Of Wbans, Xu Yong, Mengya Ke, Fen Liu, Qianming Zha

Journal of System Simulation

Abstract: A non-cooperative self-adaptive power control algorithm is proposed based on the model of TDMA wireless body area networks (WBANs) interference. The algorithm is put forward using payoff function and cost function as utility functions.The transmitting power vector is obtained by the optimal response strategy update. It is proved that the network can reach Nash Equilibrium with the transmitting power vector, and in this situation all the users’ utility function is maximized. The Matlab is applied to simulation process of the algorithm, during which simulation has been carried out with different parameters. Compared with …

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Dynamic Data Modeling Driven Model For Forest Fire Spread Based On Devs, Guoxiong Zhou, Kejia Yin, Aibin Chen Jan 2019

Dynamic Data Modeling Driven Model For Forest Fire Spread Based On Devs, Guoxiong Zhou, Kejia Yin, Aibin Chen

Journal of System Simulation

Abstract: According to the characteristics of fire behavior with strong sudden, disposal of difficult rescue, and heavy destructiveness, combining dynamic data system and discrete event system specification model, a dynamic data driven forest fire spread model is put forward based on devs modeling. The dynamic data system needs to be realized through the interaction between the computer software and the data characteristics of each environment, which is characterized by flexible data and real data. DEVS supports object-oriented modeling, and can make the modeling and simulation of the system modular, hierarchical and formal. The model is set up according to the …

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Multi-Constraint Service Selection Based On Decomposition Of Global Qos, Fang Chen, Jindong Wang, Hengwei Zhang, Wang Na Jan 2019

Multi-Constraint Service Selection Based On Decomposition Of Global Qos, Fang Chen, Jindong Wang, Hengwei Zhang, Wang Na

Journal of System Simulation

Abstract: With the rapid growth of Web services in cloud computing environment, users make new demands on dynamic service composition, that quickly selects composite service which can meet multi-constraints. According to the demand, a multi-constraint service selection method based on decomposition of global QoS was proposed. A new cultural genetic algorithm was designed to decompose the global QoS constraints, and services were filtered by combining with the functional constraints between candidate services. An adaptive replacement strategy was used to dynamically adjust QoS constraint boundaries, so as to ensure the most appropriate composite service obtained by local selection. Experimental results show …

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Variable Step-Size Constrained Total Least Squares Algorithm For Space Registration, Jiaqiang Li, Chunyan Zhao, Jinli Chen, Ronghua Zhao, Yanping Zhu Jan 2019

Variable Step-Size Constrained Total Least Squares Algorithm For Space Registration, Jiaqiang Li, Chunyan Zhao, Jinli Chen, Ronghua Zhao, Yanping Zhu

Journal of System Simulation

Abstract: To solve the problem of location inaccuracy caused by abnormal error registration, a variable step-size constrained total least squares algorithm is presented. By building a nonlinear function relationship between step size and steps, algorithm step size is relatively large in initial stage and is very small during steady state. So this algorithm can achieve faster convergence rate and smaller steady-state imbalance noise at the same time. This algorithm reduces the convergence steps and improves the stability after convergence. Therefore this algorithm reduces the impact of abnormal error registration on location result. Meanwhile, this algorithm also makes location result more …

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Abnormal Event Driven Rescheduling Decision Making In Discrete Manufacturing Workshop, Weixi Ji, Youyong Cai, Chaoyang Zhang, Peng Wei Jan 2019

Abnormal Event Driven Rescheduling Decision Making In Discrete Manufacturing Workshop, Weixi Ji, Youyong Cai, Chaoyang Zhang, Peng Wei

Journal of System Simulation

Abstract: To solve the problem of rescheduling of workshop production process, combined with the present situation of transparent manufacturing process in discrete workshop, a decision method of rescheduling and an event processing in discrete workshop driven by the abnormal events are proposed. In the IOT driven discrete manufacturing workshop environment, the complex event processing technology is applied to analyze and deal with the real-time information on manufacturing processes. On this basis, by defining the driven mechanism, the decision scheme and the performance evaluation index of rescheduling, the decision method of rescheduling in discrete workshop facing the costing is put forward; …

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Modeling And Simulation Of Travelers’ Route Choice Behavior Based On Disequilibrium Theory, Zhongxiang Huang, Jianhui Wu, Aiwu Kuang, Zhang Sheng, Xu Yan Jan 2019

Modeling And Simulation Of Travelers’ Route Choice Behavior Based On Disequilibrium Theory, Zhongxiang Huang, Jianhui Wu, Aiwu Kuang, Zhang Sheng, Xu Yan

Journal of System Simulation

Abstract: Considering the influence of heterogeneous travel on traffic flow distribution, the travelers’ route choice behaviors are classified into three types: price regulation, quantity regulation and price-quantity regulation. Three day-to-day dynamical stochastic assignment models based on the disequilibrium theory are established, and the existence, uniqueness, and stability of the solutions to these models are proved. Through model simulation, it proved that each path flow in these three models can converge to a steady state after a finite travel adjustment, and the day-to-day dynamical stochastic assignment model under price-quantity regulation can simulate the influence of heterogeneous travel behaviors on the distribution …

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Neural Coding Model For Fast And Significant Perceptual In The Pigeon Optic Tectum, Songwei Wang, Shuman Huang, Shi Li, Mengke Wang Jan 2019

Neural Coding Model For Fast And Significant Perceptual In The Pigeon Optic Tectum, Songwei Wang, Shuman Huang, Shi Li, Mengke Wang

Journal of System Simulation

Abstract: In the classical target recognition theory, many neurons in the mammalian retina and LGN perform DoG operations. Their functions are generally considered to be whitening, eliminating redundancy, and enhancing edges. Where is the redundant information? In this paper, the electrophysiological study of the ON-OFF neurons of the dove optic roof was performed. It was found that the FSL was used to carry out the rough and fast transfer of the whole scene information, and then the salient features in the scene were successively transmitted using the issue rate. For this reason, by analyzing the response pattern of neurons, this …

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Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu Jan 2019

Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu

Journal of System Simulation

Abstract: With the electric vehicles (EVs) gaining popularity in megacities, the energy consumption of EVs has subsequently caught researchers’ attention. The exploration of energy consumption of EVs has largely focused on people’s revealed driving behavior and rarely touched on their self-perception of driving styles. Aiming to investigate how the energy efficiency of EVs is shaped by the driving behavior and driving style in the urban scenario from field test data and driving style questionnaires (DSQs), a human-centric approach is adopted. The results of a correlation analysis demonstrate the dynamic interaction between drivers’ revealed behavior and stated driving style under different …

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Target Decision In Collaborative Air Combats Using Multi-Agent Particle Swarm Optimization, Yuewen Fu, Yuancheng Wang, Chen Zhen, Wenlan Fan Jan 2019

Target Decision In Collaborative Air Combats Using Multi-Agent Particle Swarm Optimization, Yuewen Fu, Yuancheng Wang, Chen Zhen, Wenlan Fan

Journal of System Simulation

Abstract: Under the research background of collaborative multi-aircraft and multi-target air combats, combined with the actual combat constraint conditions and the threat assessment functions on both sides, a collaborative air combat target decision simulation model is established for complex and changeable battlefield situations, which can reflect the priority of fire attack. To solve the decision scheme quickly and accurately, an improved multi-agent particle swarm optimization algorithm is proposed by introducing the interaction mechanism of the multi-agent theory into particle swarm optimization algorithm; and the neighborhood cooperation operator, mutation operator and self-learning operator for the agent are designed respectively. …

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Modeling And Research Of Global Allocation Policy In Cascading Failures, Chongjie Dong Jan 2019

Modeling And Research Of Global Allocation Policy In Cascading Failures, Chongjie Dong

Journal of System Simulation

Abstract: In reality, the global loads of network usually alter when the structure and function of network change by a list of attacks. Based on this, the paper defines extra loads of the normal node inversely proportional to the distance of failure node and presents a new indicator named "diffusion step" to failure diffusion process, which uses the global allocation policy instead of neighbor or local feature of node. By simulating scale-free network, small-world network and random network, the average results of network show that the scale-free network has strong ability to resist failures. When the influence of global allocation …

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Co-Matting Of Natural Image Pairs, Wei Yi, Shang Liu, Jiahe Qiu, Guijuan Zhang, Dengming Zhu, Yanfei Shen Jan 2019

Co-Matting Of Natural Image Pairs, Wei Yi, Shang Liu, Jiahe Qiu, Guijuan Zhang, Dengming Zhu, Yanfei Shen

Journal of System Simulation

Abstract: Aiming at dealing with the problem of natural image matting, this study focused on a closed-form solution to image pairs matting. For given two images and their corresponding trimaps, the affinity matrix between the two images is calculated. The matting Laplacian which characters an image to co-matting Laplacian which characters a pair of images is generalized. The alpha mattes of image pairs were obtained by optimizing the energy function which derived from co-matting Laplacian. To validate the approach, the experiments on several datasets are conducted. The results demonstrate that the method can achieve higher quality and is suitable …

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Application Of Virtual Trial Makeup Based On Video, Jiayuan Liu, Jinfang Li, Hanwu He Jan 2019

Application Of Virtual Trial Makeup Based On Video, Jiayuan Liu, Jinfang Li, Hanwu He

Journal of System Simulation

Abstract: To try different cosmetic products in a convenient and low cost way, a virtual make-up algorithm based on a plane mesh model is proposed. The feature points are extracted from the face in the video by the Harr cascade classifier and the Dlib library. A mask pattern is built on the different parts of the face dynamically according to the texture coordinates of the plane mesh model. Theory is used to control the display area of the main texture of the planar mesh model. The mapping relationship between the main texture and the feature point coordinates of the planar …

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Human Motion Simulation Based On Speech Recognition Control, Zhiwen Wang, Zihao Zhang, Yuxiang Jia, Wei Yi, Yanfei Shen Jan 2019

Human Motion Simulation Based On Speech Recognition Control, Zhiwen Wang, Zihao Zhang, Yuxiang Jia, Wei Yi, Yanfei Shen

Journal of System Simulation

Abstract: Human body motion simulation refers to real time rendering of human body and its motion in a computer. It is a computational model to simulate the natural and physical movement of human body under given constraints. Rendering a good human body movement can improve people's sense of immersion and substitution when watching. It is an inevitable premise of interaction between the viewer and the system. Based on the above theory, under the premise of using the rendering engine to ensure the quality of human motion rendering, it is further proposed to use the speech recognition engine to identify the …

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High Performance Fault-Tolerant Scheduling Method And Simulation For Heterogeneous Multicore, Shigan Yu, Zhimin Tang, Xiaochun Ye, Zhimin Zhang Jan 2019

High Performance Fault-Tolerant Scheduling Method And Simulation For Heterogeneous Multicore, Shigan Yu, Zhimin Tang, Xiaochun Ye, Zhimin Zhang

Journal of System Simulation

Abstract: To deal with the problem of low performance and high power consumption when solving the transient fault of the processor with three mode redundancy (TMR), a task execution algorithm for heterogeneous multicore considering fault tolerant (TEAHFT) is proposed. The tasks to be executed are divided into sensitive tasks and fault-tolerant tasks. The sensitive tasks are executed in a TMR mode, and the fault-tolerant tasks are executed in a competitive scheduling mode. The task will be rerun in TMR method if the results of the fault-tolerant tasks do not meet the reliability threshold. The simulation experimental results show that TEAHFT …

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Extensible Battle Management Ontology Language, Zaijiang Tang, Xiangzhong Xue, Xue Qin Jan 2019

Extensible Battle Management Ontology Language, Zaijiang Tang, Xiangzhong Xue, Xue Qin

Journal of System Simulation

Abstract: The interoperability of command and control system with combat simulation system is an important and difficult problem in the construction of practical training environment. Aiming at the existing problems of semantic interoperability of language description, the battle management language, web ontology language and extensible markup language are studied. Based on ontology theory, the extensible battle management ontology language (XBMOL) is proposed. The syntax structure and semantic annotation of XBMOL are analyzed as an extension to the C-BML. The XBMOL 6W1H architecture is designed, and the extensible grammatical structure and semantic tagging are described. An example with XBMOL is given …

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Improved Hybrid Bounding Box Collision Detection Algorithm, Wang Chao, Zhili Zhang, Long Yong, Shaodi Wang Jan 2019

Improved Hybrid Bounding Box Collision Detection Algorithm, Wang Chao, Zhili Zhang, Long Yong, Shaodi Wang

Journal of System Simulation

Abstract: For the construction of the oriented bounding box (OBB) takes a long time and the efficiency of the scene collision detection algorithm is not high, a fast-adaptive hybrid bounding box collision detection algorithm is proposed, which optimizes the bounding box of hierarchy and the way of storage. A large number of objects that cannot be intersected are excluded by means of the eight-tree space division and the rough detection of the sphere, and the exact intersecting test of the OBB can be made. The experimental result shows that compared with the OBB algorithm, the complexity of the bounding …

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Numerical Simulation Of Borehole Stability In Underbalanced Drilling Coal Seam, Yumei Li, Su Zhong, Zhang Tao, Delong Zhang, Liwei Yu, Si Na Jan 2019

Numerical Simulation Of Borehole Stability In Underbalanced Drilling Coal Seam, Yumei Li, Su Zhong, Zhang Tao, Delong Zhang, Liwei Yu, Si Na

Journal of System Simulation

Abstract: According to the formation parameters of No.3 coal seam in the Qinshui Basin, Shanxi Province, considering the interaction between seepage and deformation in the borehole wall of coal seam, using the finite element method for establishing the stable elastoplastic numerical model of the borehole in coal seam,the variation of pore pressure near the wellbore wall with the seepage time and the effect of time delay on wellbore stability under underbalanced drilling condition were studied. The variation law of maximum displacement and maximum plastic deformation around borehole wall with bottom pressure were analyzed. The simulation results show that there …

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Permanent Magnet Synchronous Motor Multi-Parameter Identification Based On Improved Salp Swarm Algorithm, Mengqiu Wang, Wang Yan, Zhicheng Ji Jan 2019

Permanent Magnet Synchronous Motor Multi-Parameter Identification Based On Improved Salp Swarm Algorithm, Mengqiu Wang, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Since the multi-parameter identification of permanent magnet synchronous motor (PMSM) has slow speed and low accuracy, a parameter identification method based on the improved salp swarm algorithm was proposed in this paper. The algorithm firstly adopted the self-adaptive evaluation-move strategy and neighborhood optimum guide strategy based Von Neumann topology to update the position of followers twice, which strengthened information cooperation in the population and accelerated the convergence rate of parameter identification. Secondly, the algorithm used the opposition-based learning strategy to perturb the population position with a certain mutation probability, that avoided local optimum and misconvergence of the parameters. The …

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12-Dimensional Zero Velocity State Updating Intelligent Algorithm For Pedestrian Dead Reckoning, Hengzhi Liu, Li Qing Jan 2019

12-Dimensional Zero Velocity State Updating Intelligent Algorithm For Pedestrian Dead Reckoning, Hengzhi Liu, Li Qing

Journal of System Simulation

Abstract: For wearable pedestrian strapdown inertial navigation and location devices, the different devices need different pedestrian dead reckoning (PDR) parameters, and the parameters are not such the optimal value that it affects the accuracy. A self-pedestrian navigation and location method based on the 12-dimensional zero-velocity state update intelligent algorithm is proposed, in which three dimensional errors of velocity, angular speed, location and geomagnetism are introduced as the system observations and an intelligent estimator which is formed by the support vector machine (SVM) and Kalman filter is established to estimate the system state error, and therefore the system accuracy is improved. …

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Flower Pollination Algorithm For Multi-Objective Fuzzy Flexible Job Shop Scheduling, Wenhao Xu, Wang Yan, Dahu Yan, Zhicheng Ji Jan 2019

Flower Pollination Algorithm For Multi-Objective Fuzzy Flexible Job Shop Scheduling, Wenhao Xu, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: For the uncertainty of parameters during flexible industrial process in the manufacturing workshops, a model of multi-objective fuzzy flexible job shop scheduling is established. To solve this model, the processing time, processing cost and material cost are described by triangular fuzzy numbers to minimize the makespan and production cost. An adaptive discrete flower pollination algorithm (ADMOFPA) is proposed. A discrete operator is utilized in the algorithm to discretize the solutions at the initialization period. To enhance the global exploration and local exploitation ability of ADMOFPA, an adaptive mutation operator is adopted. By simulating the instance of one …

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Setting Conditions Of U-Turns At Entrances Of Signalized Intersections, Haipeng Shao, Yuxuan Wang, Xingying Chen, Binbin Zheng Jan 2019

Setting Conditions Of U-Turns At Entrances Of Signalized Intersections, Haipeng Shao, Yuxuan Wang, Xingying Chen, Binbin Zheng

Journal of System Simulation

Abstract: There is a demand for U-turn at intersections of signal controlled intersections. The U-turn conditions required for U-turn vehicles vary with different road and traffic conditions. To determine the appropriate U-turn design conditions at the entrance of the signalized intersection so that vehicles can pass safely and orderly, based on the simulation of the U-turn behavior of the vehicle, the characteristics of the vehicle trajectory are analyzed and a U-turn space discriminant model is established. Based on the theoretical model of vehicle queuing and lane change at signalized intersections, a calculation model for the U-turn setting position is …

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Simulation Study Of Ev Sharing Service In Huadu District, Guangzhou, Tingting Li, Jianping Wu Jan 2019

Simulation Study Of Ev Sharing Service In Huadu District, Guangzhou, Tingting Li, Jianping Wu

Journal of System Simulation

Abstract: Electric vehicle (EV) sharing service plays an important role in the construction of the intelligent city, which can reduce the traffic emissions and cut down the ownership of private cars. In order to explore the traffic and environment effectiveness of the car sharing service, this paper builds a microscopic simulation model of EV sharing service. Based on the survey data, a simulation model containing 51 intersections and 107 roads is conducted. Considering 5 different traffic scenes, the paper evaluates the service from various viewpoints. The results demonstrate that there is no distinct influence on the traffic efficiency. However, …

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Simulation Of Wind Power Prediction Based On Improved Elm, Wang Hao, Wang Yan, Zhicheng Ji Jan 2019

Simulation Of Wind Power Prediction Based On Improved Elm, Wang Hao, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: To predict the range of ultra-short-term wind power fluctuation effectively, a combined forecasting model based on fuzzy information granulation (FIG) and genetic algorithm optimization extreme learning machine (GA-ELM) is proposed. The parameters of wind power are granulated by fuzzy information, and the corresponding valid information including the maximal value, the minimum value, and the general average value in time series window is further extracted. By integrating the effective components of each parameter as training samples, the GA-ELM-based prediction model is established. The range of wind power fluctuation in next time series is forecasted through using the optimized model. The …

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Analysis And Optimization Of Hospital Pharmacy Sorting System Based On Simulation, Liu Shuang, Lü Chao Jan 2019

Analysis And Optimization Of Hospital Pharmacy Sorting System Based On Simulation, Liu Shuang, Lü Chao

Journal of System Simulation

Abstract: The assignment rules are presented by researching system data information with a large Chinese medicine pharmacy sorting system as an object. Based on simulation technology, the system model is presented; the system operation time, cost, efficiency, and assigned laws and human resources configuration as well as many other factors affecting the performance of the system are analyzed. Based on the analysis of the original system, three optimization schemes are designed and compared. The simulation results show that, during the same simulation period, the reallocation of human resources can reduce the economic cost, but it has little improvement on …

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Fault Diagnosis Of High Speed Train Bogie Based On Multi-Domain Fusion Cnn, Yunpu Wu, Weidong Jin, Yingkun Huang Jan 2019

Fault Diagnosis Of High Speed Train Bogie Based On Multi-Domain Fusion Cnn, Yunpu Wu, Weidong Jin, Yingkun Huang

Journal of System Simulation

Abstract: The performance degradation and failures of high-speed train bogie components directly threaten the operation security of train. A fault detection method based on multi-domain fusion convolutional neural network is proposed to address the high complexity, high coupling and strong nonlinearity of vibration signals. Noise injection for time domain signal is used to enhance noise robustness and generalization of the model. Signal time-frequency representation information is obtained through embedded time-frequency transformation layer. Adaptive weight-based fusion is implemented through intrinsic characteristics of the convolutional neural network to handle the multi-domain multi-channel information. The experimental results show that the proposed method improves …

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Modeling, Simulation And Realization Of Writing System Based On Bci Technology, Chen Chao, Ping Yao, Bin Hao, Xu Rui Jan 2019

Modeling, Simulation And Realization Of Writing System Based On Bci Technology, Chen Chao, Ping Yao, Bin Hao, Xu Rui

Journal of System Simulation

Abstract: In order to solve the problem of insufficient information transmission and interaction between organisms and electromechanical devices in the integrated system of vital electricity, Emotiv EPOC and mechanical arm of eeg acquisition equipment were used to build a writing system based on brain-computer interface technology with faster information transmission rate The system modeling and simulation were conducted. In the system modeling, the frequency identification of steady-state visual evoked potential was carried out by a combination of bandpass filtering and Canonical Correlation Analysis algorithm, and the accuracy rate of the four classifications was as high as 91.6%. In the online …

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Multi-Tasks Channel Selection Algorithmic Modeling Based On Svm-Rfe, Jiankui Feng, Jin Jing, Wang Bei, Yugang Niu, Xingyu Wang Jan 2019

Multi-Tasks Channel Selection Algorithmic Modeling Based On Svm-Rfe, Jiankui Feng, Jin Jing, Wang Bei, Yugang Niu, Xingyu Wang

Journal of System Simulation

Abstract: Channel selection is used to locate the mental task related brain area in the brain computer interface systems. In the previous studies, the channels were selected based on the data recoded from the multi-mental tasks. However, the different mental tasks are corresponding to the different brain area. If one same brain area is selected for different mental tasks, the features of one mental task would be noises of another mental task. In this paper, a new method was presented to solve this problem based on the data of motor imagery tasks. The SVM-RFE method was used to select 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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Synthesized Capability-Effectiveness Evaluation Method Of Contribution Ratio To System-Of-Systems, Xiaobo Li, Lin Mu, Zhe Shu, Guibai Liu, Wang Tao, Weiping Wang Jan 2019

Synthesized Capability-Effectiveness Evaluation Method Of Contribution Ratio To System-Of-Systems, Xiaobo Li, Lin Mu, Zhe Shu, Guibai Liu, Wang Tao, Weiping Wang

Journal of System Simulation

Abstract: Since modern combats represent the development trend of systematization and network, it has become an essential requirement to build and use the equipment through a system-of-systems approach. The evaluation of contribution ratio to system-of-systems (CRSOS) is an important means to advance the development of weapon equipment systematization, and it is also urgently needed to carry out in-depth research on the theoretical concepts and methods. This paper establishes the research framework of CRSOS from the classification of contribution type and the equipment management life cycle. It proposes a CRSOS definition from the perspective of capability-efficiency dimension based on current …

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