Cascading Failure Analysis Of Equipment Support Network Based On Sirv Virus Propagation Theory,
2020
1. Academy of Army Armored Force, Beijing 100072, China; ;
Cascading Failure Analysis Of Equipment Support Network Based On Sirv Virus Propagation Theory, Zhang Qiang, Junhai Cao, Tailiang Song, Haidong Du, Chuang Zhang
Journal of System Simulation
Abstract: According to the complexity phenomenon of equipment support network being attacked by the enemy, the similarity between network cascading process and virus propagation process is compared and analyzed. On the basis of the existing load capacity cascading failure model, the process of virus immune propagation is integrated, four different states of support nodes are defined, and the cascade transmission model of equipment support network is constructed, which can better reproduce the real situation of our support organization being attacked by the enemy and public opinion. The simulation and comparison shows that when the defense resources are limited and the …
Research On Autonomous Berthing For Unmanned Ship Based On Berth Coordinates,
2020
1. Key Laboratory of Marine Simulation &Control for Ministry of Transportation, Dalian 116026, China; ;
Research On Autonomous Berthing For Unmanned Ship Based On Berth Coordinates, Yupeng Jia, Yin Yong, Zhongxian Zhu
Journal of System Simulation
Abstract: Aiming at the problem that the neural network autonomous docking controllers can only complete the docking of a specific ports, but cannot extend to other ports without training data, a coordinate system (berth coordinates with the berth vertex as theorigin and the shoreline as the Y Axis) is proposed. The relative position is used to train the controller. In V.Dragon-5000 navigation simulator, the container ship “Yinhe” is selected. After docking training at Dalian port, the docking controller is successfully extended to Shenzhen Shekou port and Singapore Changi port without training data. The simulation verifies that the application …
Research On Modeling And Process Parameters Optimization Of Glcn Fermentation Process,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Research On Modeling And Process Parameters Optimization Of Glcn Fermentation Process, Wanli Yu, Wang Yan, Zhicheng Ji
Journal of System Simulation
Abstract: In view of the high price and low detection accuracy of biosensors, which makes it difficult to obtain accurate and real-time biological parameters in the process of GlcN fermentation, the Least Square Support Vector Machine (LSSVM) model is established to predict the cell concentration, product concentration and substrate concentration. In order to improve the accuracy of the prediction model, the improved multiverse optimization algorithm based on Levy flight is utilized to optimize several parameters of the LSSVM model. On the basis of the model aiming at the maximum product concentration at the time of fermentation completion, the fermentation process …
Research On Network Attack And Defense Situation Based On Game Theory Model And Netlogo Simulation,
2020
Strategic Support Force Information Engineering University, Zhengzhou 450001, China;
Research On Network Attack And Defense Situation Based On Game Theory Model And Netlogo Simulation, Xiaohu Liu, Hengwei Zhang, Yuchen Zhang, Ma Zhuang, Wenlei Lü
Journal of System Simulation
Abstract: Aiming at the problem that the existing modeling methods lack of the analysis on the behavior and trend of attack and defense game, the characteristics of network attack and defense game from the perspective of confrontation are analyzed Based on the static game theory of non- cooperative incomplete information, the network attack and defense game model is established, and the revenue quantification, game equilibrium calculation and decision-making of strategic confrontation result are given. The multi-agent simulation model of network attack and defense game is constructed. The simulation experiments under different strategy combinations and different initial numbers of players are …
Research On Distribution Line Identification And Simulation Based On Sequence Impedance Method,
2020
1. China Electric Power Research Institute Co. , Ltd. , Beijing 100192, China; ;
Research On Distribution Line Identification And Simulation Based On Sequence Impedance Method, Keyan Liu, Weijie Dong, Xueshun Ye, Muke Bai, Huaitian Zhang
Journal of System Simulation
Abstract: The field fault test of distribution network cannot be repeated frequently, a line parameter identification and fault waveform reproduction method based on sequence impedance method is proposed to build the line sequence resistance model, and the π type equivalent lines are constructed. Based on the data of each node obtained in the field test process, the positive sequence impedance and zero sequence impedance parameters of π type equivalent circuits of all line sections are obtained by using the principle of symmetrical sequence components, and the digital model of the real lines in the field is established. The simulation results …
Optimization And Simulation Of Offshore Edge Computing Network For E-Pilotage,
2020
1. College of Information Science and Technology, Dalian Maritime University, Dalian 116026, China; ;
Optimization And Simulation Of Offshore Edge Computing Network For E-Pilotage, Bin Lin, Chenchen Song, Yajing Zhang, Jianli Duan
Journal of System Simulation
Abstract: In order to improve the safety of the ship's piloting process, an INA-based offshore edge computing network (IOECN) architecture is proposed to provide navigation assistance information. The Layout Optimization Problem (LOP) of network element nodes in the network is mainly studied. The mathematical model is used to convert the LOP into an Integer Linear Programming (ILP) problem. On condition of the required network coverage and connectivity, aiming to minimize the network cost, being solved by Gurobi and simulated and demonstrated by Matlab, the network optimization on different scales is obtained and the correctness and scalability of …
Modeling Research On Assessment System For Army Maintenance Work Capacity,
2020
Department of Equipment Support and Remanufacture of Army Academy of Armored Forces, Beijing 100072, China;
Modeling Research On Assessment System For Army Maintenance Work Capacity, Haidong Du, Junhai Cao, Fusheng Liu
Journal of System Simulation
Abstract: A set of simulation model design scheme is proposed to meet the needs of maintenance simulation evaluation of combined army. After analyzing the principle of simulation evaluation of military maintenance capability, the requirements of the evaluation model is analyzed. The generation of maintenance tasks and the modeling scheme of maintenance support system are given; On the basis of the spare parts scheduling and the use process of support equipment, the maintenance support resource model is designed. The modeling basis for the evaluation of equipment maintenance capability of the combined army is provided, which supports the design and application case …
Nature Computation Of Self-Adaptive Dynamic Control Strategy Of Population Grouping,
2020
School of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China;
Nature Computation Of Self-Adaptive Dynamic Control Strategy Of Population Grouping, Wanlu Ni, Weidong Ji, Xiaoqing Sun
Journal of System Simulation
Abstract: Multi-population optimization method can solve the optimization difficulty caused by the increase of data volume, but the existing population grouping is carried out by means of random grouping or artificial setting, which doesn't take particle trajectories into full consideration. In view of the problem a self-adaptive dynamic control strategy of population grouping is proposed, which uses Gaussian fitting function as the reference curve of population grouping and divides sub populations according to the function's monotone interval. For particles with the trend of crossing the upper boundary of sub populations, the contrarian strategy is adopted to maintain the population diversity …
Chemical Cluster Cooperative Patrolling Strategy Based On Game Theory,
2020
College of Systems Engineering, National University of Defense Technology, Changsha 410073, China;
Chemical Cluster Cooperative Patrolling Strategy Based On Game Theory, Feiran Chen, Bin Chen, Zhengqiu Zhu, Xiaogang Qiu, Yiduo Wang, Zhao Yong
Journal of System Simulation
Abstract: Industrial production activities in the chemical cluster pose great threats to the surrounding atmospheric environment and human health. It is necessary for the management team to strictly supervise the chemical production processes and monitor the gas emissions to ensure the air quality. One of the effective means is to patrol chemical plants in the chemical cluster. The cooperative patrolling strategy of multiple patrol vehicles based on game theory is studied. A greedy deployment algorithm to determine the initial deployment of patrol vehicles is proposed. The static partition cooperation method is used to partition the chemical cluster into multiple small …
Chaos Control Of Permanent Magnet Synchronous Motor Based On Finite Time Lasalle Invariant Set,
2020
School of Electrical Engineering, Xinjiang University, Urumchi 830047, China;
Chaos Control Of Permanent Magnet Synchronous Motor Based On Finite Time Lasalle Invariant Set, Zhang Yun, Wang Cong, Hongli Zhang, Ma Ping
Journal of System Simulation
Abstract: In order to effectively restrain the chaotic behavior of permanent magnet synchronous motor, an adaptive controller is designed based on finite time theory and LaSalle invariant set theorem. The chaotic dynamics characteristics of the permanent magnet synchronous motor system are analyzed, and the parameter fields of the system in different motion states are determined. It is proved theoretically that the controller can stabilize to the equilibrium point in finite time and can automatically track the equilibrium point of the system. Simulation results show that the control scheme is concise, faster and more stable. The research results are of great …
Simulation On Spatial-Temporal Dynamic Change Of Ocean Environment In Marine Simulators,
2020
Key Laboratory of Marine Dynamic Simulation and Control for the Ministry of Transport, Dalian Maritime University, Dalian 116026, China;
Simulation On Spatial-Temporal Dynamic Change Of Ocean Environment In Marine Simulators, Qianfeng Jing, Helong Shen, Zhengli Gao, Yin Yong
Journal of System Simulation
Abstract: Marine structures are subject to environmental interference all the time, and the simulation of the ocean environment significantly affects the realism of the marine simulators. The ocean environmental fields are generated by the numerical wave model, and the real ocean databases are developed based on SQLite. The actual wind, current, and wave information are obtained from the databases to keep consistency with the actual sea. The environmental disturbances are modeled and both the spatiotemporal-varying features and the coupling effects are brought into the simulation. The real voyage cases are reproduced by the proposed simulation method. The measured data …
Prediction Of N-Acetylglucosamine Content Based On Rf-Ga-Bp Neural Network,
2020
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Prediction Of N-Acetylglucosamine Content Based On Rf-Ga-Bp Neural Network, Wenfeng Yang, Wang Yan, Zhichen Ji
Journal of System Simulation
Abstract: In order to solve the problem that the content of N-acetylglucosamine (GlcNAc) in the process of preparing glucocosamine (GlcN) by microbial fermentation is difficult to measure online, an improved prediction algorithm based on stochastic forest algorithm, genetic algorithm and neural network algorithm is proposed. The algorithm utilizes the feature of decreasing average impurity in random forest algorithm to analyze the relevance of the input characteristics. The initial weights and thresholds of the neural networks are optimized by the genetic algorithm. A prediction model based on the RF-GA-BP algorithm is established based on the data from the fermentation process of …
A Photovoltaic Power Forecasting Method Based On Da-Rkelm Algorithm,
2020
1. School of Mechanical Engineering, Shenyang University, Shenyang 110041, China; ;
A Photovoltaic Power Forecasting Method Based On Da-Rkelm Algorithm, Mingqi Wei, Tianrui Zhang, Xiuxiu Gao, Shumei Wang
Journal of System Simulation
Abstract: Aiming at the power grid safety problems caused by the fluctuation and randomness of photo-voltaic power generation, a method for predicting photo-voltaic power generation of a regular nuclear limit learning machine based on the optimization of a dragonfly algorithm was proposed. Through correlation analysis, the key factors affecting the photo-voltaic power generation are determined, and the photo-voltaic power prediction model is constructed. Dragonfly algorithm is used to obtain the optimal weight and threshold value of the network, and regularization function and kernel function are introduced based on the standard limit learning machine to avoid the over …
Research On Simulation Optimization Of Intelligent Storage Robot Configuration Under Multiple Constraints,
2020
1. Dalian Neusoft University of Information, Dalian 116023, China; ;
Research On Simulation Optimization Of Intelligent Storage Robot Configuration Under Multiple Constraints, Guo Di, Danlan Xie, Ji Yuan
Journal of System Simulation
Abstract: Aiming at the intelligent warehouse storage robot configuration, a discrete event simulation model based on queuing theory is constructed. Considering the influence of faults and the reliability and service intensity of the system, aiming at minimizing the total cost of distance cost, time cost, idle cost and purchase cost, a based on FlexSim simulation model is proposed. Discrete event simulation optimization method of the platform. By analyzing the system average team length, order average stay time and other indicators, the intuitionistic bottleneck of the system is combined with the actual operation data, and the configuration strategy of minimum system …
Period Estimation And Noise In A Neutrally Stable Stochastic Oscillator,
2020
University of North Carolina Asheville
Period Estimation And Noise In A Neutrally Stable Stochastic Oscillator, Kevin R. Sanft, Ben F. M. Intoy
Spora: A Journal of Biomathematics
The periods of the orbits for the well-mixed cyclic three-species Lotka-Volterra model far away from the fixed point are studied. For finite system sizes, a discrete stochastic approach is employed and periods are found via wavelet analysis. As the system size is increased, a hierarchy of approximations ranging from Poisson noise to Gaussian noise to deterministic models are utilized. Based on the deterministic equations, a mathematical relationship between a conserved quantity of the model and the period of the population oscillations is found. Exploiting this property we then study the deterministic conserved quantity and period noise in finite size systems.
Some Generalizations Of Classical Integer Sequences Arising In Combinatorial Representation Theory,
2020
Western Kentucky University
Some Generalizations Of Classical Integer Sequences Arising In Combinatorial Representation Theory, Sasha Verona Malone
Masters Theses & Specialist Projects
There exists a natural correspondence between the bases for a given finite-dimensional representation of a complex semisimple Lie algebra and a certain collection of finite edge-colored ranked posets, laid out by Donnelly, et al. in, for instance, [Don03]. In this correspondence, the Serre relations on the Chevalley generators of the given Lie algebra are realized as conditions on coefficients assigned to poset edges. These conditions are the so-called diamond, crossing, and structure relations (hereinafter DCS relations.) New representation constructions of Lie algebras may thus be obtained by utilizing edge-colored ranked posets. Of particular combinatorial interest are those representations whose corresponding …
European Floating Strike Lookback Options: Alpha Prediction And Generation Using Unsupervised Learning,
2020
Singapore Management University
European Floating Strike Lookback Options: Alpha Prediction And Generation Using Unsupervised Learning, Tristan Lim, Aldy Gunawan, Chin Sin Ong
Research Collection School Of Computing and Information Systems
This research utilized the intrinsic quality of European floating strike lookback call options, alongside selected return and volatility parameters, in a K-means clustering environment, to recommend an alpha generative trading strategy. The result is an elegant easy-to-use alpha strategy based on the option mechanisms which identifies investment assets with high degree of significance. In an upward trending market, the research had identified European floating strike lookback call option as an evaluative criterion and investable asset, which would both allow investors to predict and profit from alpha opportunities. The findings will be useful for (i) buy-side investors seeking alpha generation and/or …
Efficient Sampling Algorithms For Approximate Temporal Motif Counting,
2020
Hunan University
Efficient Sampling Algorithms For Approximate Temporal Motif Counting, Jingjing Wang, Yanhao Wang, Wenjun Jiang, Yuchen Li, Kian-Lee Tan
Research Collection School Of Computing and Information Systems
A great variety of complex systems ranging from user interactions in communication networks to transactions in financial markets can be modeled as temporal graphs, which consist of a set of vertices and a series of timestamped and directed edges. Temporal motifs in temporal graphs are generalized from subgraph patterns in static graphs which take into account edge orderings and durations in addition to structures. Counting the number of occurrences of temporal motifs is a fundamental problem for temporal network analysis. However, existing methods either cannot support temporal motifs or suffer from performance issues. In this paper, we focus on approximate …
Co2vec: Embeddings Of Co-Ordered Networks Based On Mutual Reinforcement,
2020
Singapore Management University
Co2vec: Embeddings Of Co-Ordered Networks Based On Mutual Reinforcement, Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Philips Kokoh Prasetyo
Research Collection School Of Computing and Information Systems
We study the problem of representation learning for multiple types of entities in a co-ordered network where order relations exist among entities of the same type, and association relations exist across entities of different types. The key challenge in learning co-ordered network embedding is to preserve order relations among entities of the same type while leveraging on the general consistency in order relations between different entity types. In this paper, we propose an embedding model, CO2Vec, that addresses this challenge using mutually reinforced order dependencies. Specifically, CO2Vec explores in-direct order dependencies as supplementary evidence to enhance order representation learning across …
Deep Reinforcement Learning Approach To Solve Dynamic Vehicle Routing Problem With Stochastic Customers,
2020
Singapore Management University
Deep Reinforcement Learning Approach To Solve Dynamic Vehicle Routing Problem With Stochastic Customers, Waldy Joe, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
In real-world urban logistics operations, changes to the routes and tasks occur in response to dynamic events. To ensure customers’ demands are met, planners need to make these changes quickly (sometimes instantaneously). This paper proposes the formulation of a dynamic vehicle routing problem with time windows and both known and stochastic customers as a route-based Markov Decision Process. We propose a solution approach that combines Deep Reinforcement Learning (specifically neural networks-based TemporalDifference learning with experience replay) to approximate the value function and a routing heuristic based on Simulated Annealing, called DRLSA. Our approach enables optimized re-routing decision to be generated …
