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55,539 full-text articles. Page 383 of 2024.

Visual Analysis Method Of Tobacco Quality Data Based On Dimension Reduction, Tian Dong, Guihua Shan, Xuebin Chi, Yanling Zhang, Weihua Feng, Jianwei Wang, Aiguo Wang, Wang Rui 2021 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China; ;2. University of Chinese Academy of Sciences, Beijing 100190, China; ;

Visual Analysis Method Of Tobacco Quality Data Based On Dimension Reduction, Tian Dong, Guihua Shan, Xuebin Chi, Yanling Zhang, Weihua Feng, Jianwei Wang, Aiguo Wang, Wang Rui

Journal of System Simulation

Abstract: In order to meet the requirements of tobacco leaf matching across regions in tobacco material selection, a visual analysis method of tobacco leaf quality data that incorporating dimension reduction and correlation analysis methods is developed. Through the dimension reduction algorithm, the comparison algorithm and the visual interaction method based on the classification of aroma area for tobacco leaf quality data, a visual analysis method for exploring space division and correlation analysis of tobacco leaf quality data is provided. National tobacco leaf quality data analysis cases and expert demonstrations show that the method can carry out the tobacco leaf quality …


Classification Of Flight Delay Based On Nonlinear Weighted Xgboost, Tang Hong, Wang Dong, Song Bo, Wenkui Chu, Linyuan He 2021 Aeronautics Engineering College, Air Force Engineering University, X'an 710038, China;

Classification Of Flight Delay Based On Nonlinear Weighted Xgboost, Tang Hong, Wang Dong, Song Bo, Wenkui Chu, Linyuan He

Journal of System Simulation

Abstract: Aiming at the classification of flight delay under imbalance data, a novel method based on nonlinear weighted XGBoost (extreme gradient boosting) is proposed. The imbalance of flight delay data and the influence for classification performance caused by the data imbalance are analyzed. A heuristic nonlinear weighting method based on sample proportion is proposed, and the negative log likelihood loss function is optimized. The real flight delay dataset is used to validate the performance of the classification algorithm. The experiment results show that the proposed nonlinear weighted XGBoost algorithm can improve the classification accuracy of flight delay, while ensuing a …


Research And Implementation Of A High Performance Distributed Object-Oriented Simulation Engine, Xiaodong Huang, Kongshu Xie 2021 Service College, Naval Aviation University, Yantai 264001, China;

Research And Implementation Of A High Performance Distributed Object-Oriented Simulation Engine, Xiaodong Huang, Kongshu Xie

Journal of System Simulation

Abstract: Simulation engine is the core of simulation platform and the operating system of simulation field. On the basis of the reflection-based object-oriented simulation modeling framework and programing specification, aiming at the developing integration and operation requirements for the large-scale multi-granularity computation intensive simulation system, a High-performance Distributed Object-oriented Simulation Engine (HDOSE) is developed. Combined with the brief review of HDOSE development, on the basis of expounding the HDOSE function services and architecture, the key technology, large-scale multi-granularity parallel computation, programming model and interface, parameterized componentized modeling and so on are mainly introduced. The HDOSE typical application cases …


Research On The Issues Of Next Generation Wargame System Model Engine, Yubo Tang, Bilong Shen, Shi Lei, Yi Xing 2021 1. College of Joint Operation, National Defense University, Beijing 100091, China; ;

Research On The Issues Of Next Generation Wargame System Model Engine, Yubo Tang, Bilong Shen, Shi Lei, Yi Xing

Journal of System Simulation

Abstract: Aiming at the more and more complex war systems, widely used artificial intelligence technology is needed to make up the human deficiencies in future wargame deduction, which is necessary for the next generation wargame system model engine. To address these challenges, a framework prototype of the next generation wargame model engine based on the experience of the long-term development and application is proposed. The decoupling method for the complexity of structure and computation is researched. The human-computer integration architecture on digital twinning technology is studied. Some new modeling techniques which the threshold of model development is reduced and the …


An Improved Srgan Infrared Image Super-Resolution Reconstruction Algorithm, Hu Lei, Zugen Wang, Chen Tian, Yongmei Zhang 2021 1. School of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China; ;

An Improved Srgan Infrared Image Super-Resolution Reconstruction Algorithm, Hu Lei, Zugen Wang, Chen Tian, Yongmei Zhang

Journal of System Simulation

Abstract: Aiming at the low resolution of infrared images, an improved SRGAN super-resolution reconstruction algorithm is designed. In the generative network, the method of applying the residual dense network to obtain the image features extracted from each network layer so as to retain more high-frequency information of the image, and adopting a progressive upsampling method to improve the super-resolution reconstruction effect under a large scaling factor. In terms of the loss function, the perceptual loss that is more in line with human senses is adopted to make the generated image being closer to the real high-resolution image of senses and …


Order Sorting Optimization For Four-Way Shuttle System Based On Improved Genetic Algorithm, Xinjie He, Shaowu Zhou, Hongqiang Zhang, Lianghong Wu, Zhou You 2021 1. College of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China; ;

Order Sorting Optimization For Four-Way Shuttle System Based On Improved Genetic Algorithm, Xinjie He, Shaowu Zhou, Hongqiang Zhang, Lianghong Wu, Zhou You

Journal of System Simulation

Abstract: During the batch outbound operations of the four-way shuttle system, the different execution order of the system's outbound leads to the different interaction time between the four-way shuttle and the hoist will be different, which will affect the system's outbound operation time. According to the operation process of batch outbound, with the order of batch order outflow as the variable and the system outflow time as the objective function, a system order sort optimization model i established. Based to the characteristics of the model, with the improved genetic algorithm, the optimal order of the system is obtained. By changing …


Research On Benefits Of Mixed Traffic Flow Of Intelligent Connected Vehicles, Mingwei Hu, Zhiming Zhang, Xiangsheng Chen 2021 1. College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China; ;2. Underground Polis Academy, Shenzhen University, Shenzhen 518060, China; ;3. Key Laboratory of Coastal Urban Resilient Infrastructures, Ministry of Education, Shenzhen University, Shenzhen 518060, China;

Research On Benefits Of Mixed Traffic Flow Of Intelligent Connected Vehicles, Mingwei Hu, Zhiming Zhang, Xiangsheng Chen

Journal of System Simulation

Abstract: In order to study the benefits of the mixed traffic flow Intelligent Connected Vehicles (ICV) and non-connected vehicles, aiming at the intelligent and connected characteristics of ICV. Through the microscopic traffic simulation software Vissim redevelopment, ICV having the function of intelligent connected vehicles traffic flow modeling is realized. The mixed traffic flow composed of intelligent connected vehicles and non-connected vehicles under different market penetration rates is simulated. By comparing the traffic benefits at different time periods and different penetration rates, it is found that with the increase of the market penetration rate of intelligent connected vehicles, the average speed …


Intelligent Wargaming System: Change Needed By Next Generation Need To Be Changed, Xiaofeng Hu, Dawei Qi 2021 College of Joint Operation, National Defense University, Beijing100091, China;

Intelligent Wargaming System: Change Needed By Next Generation Need To Be Changed, Xiaofeng Hu, Dawei Qi

Journal of System Simulation

Abstract: The future direction of wargaming system is intelligent, and the most significant feature of intelligence is the modeling of cognition. The main problems of wargaming system are summarized, the main difficulties of modeling brought by cognition and the overall framework of intelligent wargaming system design are discussed, the technical ways of transformation and upgrading based on the existing wargaming system are given from four aspects of model construction, system design, wargaming ecology and test inspection. It provides direction and reference to the development and construction of the next generation intelligent wargaming system.


Study On Next-Generation Strategic Wargame System, Wu Xi, Xianglin Meng, Jingyu Yang 2021 College of Joint Operation, National Defense University, Beijing 100091, China;

Study On Next-Generation Strategic Wargame System, Wu Xi, Xianglin Meng, Jingyu Yang

Journal of System Simulation

Abstract: Strategic wargame is an important support to the strategic decision. The research status and challenges of the strategic wargame are analyzed, and the influence of big data and artificial intelligence technology on the strategic wargame system is studied. The prospects and key technologies of the next-generation strategic wargame system are studied, including the construction of event association graph for strategic topics, generation of strategic decision sparse samples based on generative adversarial nets, gaming strategy learning of human-in-loop hybrid enhancement, and public opinion dissemination modeling technology based on social network. The development trend of the strategic wargame is proposed.


Modeling Research Of Cognition Behavior For Intelligent Wargaming, Xiaoyuan He, Shengming Guo, Wu Lin, Li Dong, Xu Xiao, Li Li 2021 College of Joint Operations, National Defence University, Beijing 100091, China;

Modeling Research Of Cognition Behavior For Intelligent Wargaming, Xiaoyuan He, Shengming Guo, Wu Lin, Li Dong, Xu Xiao, Li Li

Journal of System Simulation

Abstract: Aiming at the problem of cognitive behavior modeling in the construction and application of intelligent wargaming system, one modeling framework based on Actor-Operations-Scene (AOS) was proposed for C2 agent in wargaming. Then the realization of cognitive behavior modeling method for C2 agent was explored, including the modeling for the scenario oriented knowledge graph, intelligent situation awareness, operational planning, integrated operational control. It provides a feasible scheme for the construction and application of intelligent wargaming system.


Fault Diagnosis Of Industrial Process Based On Lle And K-Means Clustering Algorithm, Li Yuan, Zewei Geng 2021 Department of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China;

Fault Diagnosis Of Industrial Process Based On Lle And K-Means Clustering Algorithm, Li Yuan, Zewei Geng

Journal of System Simulation

Abstract: Because of the similarity of various types of data in the industrial process. The fault diagnosis using the K-means algorithm has a large error rate. A K-means clustering algorithm based on Locally Linear Embedding (LLE) is proposed. the normal data is reduced by the LLE algorithm and the projection matrix is obtained. The projection matrix is used to map the original fault data to the low-dimensional space and the K-means algorithm clusters is used to carry out the data to establish a detection and diagnosis model. The method is applied to the fault detection and diagnosis in the TE …


Learning Ant Colony Algorithm For Green Multi-Depot Vehicle Routing Problem, Hu Rong, Wenbo Chen, Bin Qian, Guo Ning, Fenghong Xiang 2021 1. Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China; ;2. Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming 650500, China;

Learning Ant Colony Algorithm For Green Multi-Depot Vehicle Routing Problem, Hu Rong, Wenbo Chen, Bin Qian, Guo Ning, Fenghong Xiang

Journal of System Simulation

Abstract: Considering the congested roads situation of urban central areas in China, a speed calculation method based on vehicle driving sections is designed, and a model for the Green Multi-Depot Vehicle Routing Problem with Total Fuel-Consumption cost Criterion (TFC-GMDVRP) is established, considering simultaneously the vehicle travel distance, load, and speed factors. A learning ant colony optimization algorithm (LACO), combining a knowledge model and an ant colony optimization algorithm (ACO), is proposed for solving the TFC-GMDVRP. In order to improve the performance and robustness of the algorithm's global search, the parameter knowledge that contains the different …


Research On Simulation Object Interfaces Oriented To Plug-In-Play Pattern, Zhongwei Lin, Xiuhe Li, Yiping Yao, Shen Yang, Shaoqi Dai, Qianqian Shi 2021 1. College of Electronic Engineering, National University of Defense Technology, Hefei 230031, China; ;

Research On Simulation Object Interfaces Oriented To Plug-In-Play Pattern, Zhongwei Lin, Xiuhe Li, Yiping Yao, Shen Yang, Shaoqi Dai, Qianqian Shi

Journal of System Simulation

Abstract: Models and simulation engines provide services mainly in the format of executable files in cloud environment, thus plug-in-play pattern becomes the first choice of simulation, which needs necessitating interfaces to connect the model processing logics and the simulation engine control logics. A set of simulation object interfaces that covers the simulation full life cycle of initialization, event scheduling, processing and cancel, publish and processing of subscription, roll-back and termination is proposed, and then defined in C++ language. Two examples show the process of the interfaces and the effectiveness of constructing the simulation objects. With the instantiation and disposal …


A Novel Approach For Smart Contracts Using Blockchain, Dr khaled nagaty, Manar AbdElhamid 2021 The British University in Egypt

A Novel Approach For Smart Contracts Using Blockchain, Dr Khaled Nagaty, Manar Abdelhamid

Computer Science

No abstract provided.


Challenges And Reflection On Next-Generation Large-Scale Computer Wargame System, Guangya Si, Yanzheng Wang 2021 College of Joint Operations, National Defence University, Beijing 100091, China;

Challenges And Reflection On Next-Generation Large-Scale Computer Wargame System, Guangya Si, Yanzheng Wang

Journal of System Simulation

Abstract: In view of the systematic, networked and intelligent characteristics of the future war, the major challenges of the new generation of large computer warfare system are proposed, and the next-generation large-scale computer wargame system is constructed. The key technologies of building a new generation of large computer warfare systems, such as intelligent war modeling, architecture integration, resource service management and human-computer interaction are researched.


Wargaming Eco-System For Intelligence Growing, Wu Lin, Xiaofeng Hu, Jiuyang Tao, Xiaoyuan He 2021 College of Joint Operation, National Defense University, Beijing 100091, China;

Wargaming Eco-System For Intelligence Growing, Wu Lin, Xiaofeng Hu, Jiuyang Tao, Xiaoyuan He

Journal of System Simulation

Abstract: The construction of the next generation intelligent wargaming system can not be accomplished at one move, but through building an ecosystem to gradually grow intelligence. The basic concepts of the intelligent wargame ecosystem, and are defined the idea of dynamic openness, diversified levels and co-evolution are proposed. Drawing lessons from the human intelligence growing process and learning-evolution mechanism, the double helix model of the next generation of wargame cognitive intelligent evolution and growth is constructed. On the basis of the OLTA cycle, the wargame deduction ecosystem system framework is given. The application of the technologies, such as …


Application Of Two-Population Fish Swarm Algorithm In Distributed Portfolio, Fuyu Wang, Tang Tao 2021 School of Management Science and Engineering, Anhui University of Technology, Ma'anshan 243032, China;

Application Of Two-Population Fish Swarm Algorithm In Distributed Portfolio, Fuyu Wang, Tang Tao

Journal of System Simulation

Abstract: Aiming at the disadvantages of artificial fish swarm algorithm, such as low precision and easily falling into local optimum, combining the idea of gravity algorithm and teaching optimization, a two-population fish swarm search algorithm is proposed. Cross-thinking is adopted to optimize the results obtained by the two populations and avoid the local optimization. Metropoils criterion of simulated annealing is added to the standard function verifies the algorithm, and the results show that the two-population fish swarm algorithm is better than the traditional artificial fish swarm algorithm and the known literature algorithm. Based on the known literature, a distributed …


Optimization Algorithm Of Mine Ventilation Based On Sa-Ipso, Liangshan Shao, Wang Zhen, Changming Li 2021 1. Liaoning Technical University Institute of Systems Engineering, Huludao 125105, China; ;2. School of Software, Liaoning Technical University, Huludao, 125105, China;

Optimization Algorithm Of Mine Ventilation Based On Sa-Ipso, Liangshan Shao, Wang Zhen, Changming Li

Journal of System Simulation

Abstract: A non-linear optimization mathematical model aiming at the minimum total power of the mine ventilation network is established, in which SA-IPSO algorithm is applied for the optimization. The mutation operation is introduced in the PSO algorithm, in which a new inertia weight is proposed and a new particle selection method is constructed to control the number of particles violating the constraints, and the ability of the PSO algorithm to find boundaries is improved. The constraint conditions of the mine ventilation law are transformed into the penalty term of the objective function. IPSO optimizes the objective function and uses SA …


Exploring Formal Model Transformation Techniques Within Model Driven Engineering, Zhu Zhi, Lei Sen, Yonglin Lei 2021 College of System Engineering, National University of Defense Technology, Changsha 410073, China;

Exploring Formal Model Transformation Techniques Within Model Driven Engineering, Zhu Zhi, Lei Sen, Yonglin Lei

Journal of System Simulation

Abstract: With the increasing complexity of simulation system and the wide use of simulation models, the higher requirements of the efficiency and quality for simulation models are needed. Currently, model-driven engineering is mostly applied in many simulation software tools, which cannot really carry out the formal analysis at the model level. Based on model driven engineering, the domain specific language with metamodeling and engineering model continuity is designed. Taking a group fire control channel system as the example, the domain specific language is designed and the conceptual models are transformed into other precise semantics to carry out the final executable …


Chaotic Gravitational Search Iterative Identification For Wiener Systems, Shanling Xu, Junhong Li, Mengru Liu, Hua Liang 2021 Nantong University, Nantong 226019, China;

Chaotic Gravitational Search Iterative Identification For Wiener Systems, Shanling Xu, Junhong Li, Mengru Liu, Hua Liang

Journal of System Simulation

Abstract: The Wiener nonlinear system is composed of a dynamic linear subsystem and a series of nonlinear static subsystems, which is widely used in the fields of automatic control, chemical engineering, electrical and other fields. Considering the identification of the Wiener Output Error Autoregressive (Wiener OEAR) system, a chaotic gravitational search iterative identification algorithm is proposed, in which the chaotic optimization mechanism is introduced into the gravitational search algorithm to estimate the unknown parameters of the Wiener OEAR system and the convergence is proved. In order to show the effectiveness of the proposed identification algorithm, the gravitational search algorithm and …


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