Reliability Parameter Optimization Complex System Simulation Based On R-Vikor Method,
2022
Science and Technology on Special System Simulation Laboratory, Beijing Simulation Center, Beijing 100854, China;
Reliability Parameter Optimization Complex System Simulation Based On R-Vikor Method, Zhiguang Wang, Baiting Liu, Xiaolei Wang, Tao Liu, Zhaowei Yang
Journal of System Simulation
Abstract: The operation of complex simulation system is not isolated, and always affected by multiple external factors and its own performance. In simulation reliability calculation, parameters need to be chosen, and different performance indexes need to be taken into account when comparing with the reference model. The research is transformed into the multi-attribute decision. An system simulation trusted parameter optimization method based on R-VIKOR(resist rank reversal of visekriterijumska optimizacija | kompromisno resenje) is proposed. Multiple sets of aerodynamic parameters of the new model are obtained through model migration theory, and similarity calculation is carried out with the optimal parameters of …
Simulation Research On Appearance Detection Of Ampoules Based On Lightweight Network And Model Compression,
2022
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Simulation Research On Appearance Detection Of Ampoules Based On Lightweight Network And Model Compression, Zhihao Zhu, Yan Wang, Zhicheng Ji
Journal of System Simulation
Abstract: Aiming at the large scale and redundant parameters of target detection network model, which result in the difficult to deploy the ampoule bottle appearance defect detection model to edge devices, an LC-Faster R-CNN defect detection algorithm based on lightweight network and model compression is proposed. MobileNet-V2 is used as the backbone, and the redundant channels in the convolutional network are trimmed by model pruning strategy. The floating-point parameters are quantized into integers through saturation truncation mapping. Knowledge distillation is used to restore the accuracy of the compressed network. Tested on the self-built ampoule appearance defect dataset, the model volume …
Long-Term Resilience Simulation On Low-Carbon Urban Grid Based On Evolutionary Game,
2022
1.Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;
Long-Term Resilience Simulation On Low-Carbon Urban Grid Based On Evolutionary Game, Zhengda Cui, Weiqiang Yao, Qin Xu, Chen Fang, Ying Chen
Journal of System Simulation
Abstract: Because of the more frequent extreme disasters, the resilience of urban grid becomes more important. In the background of carbon neutralization policy, the decarbonization transition of urban grid also affects the development of grid resilience. An evolutionary game is used to simulate the resilience evolution of low-carbon urban grid and the evolution model is constructed. The decision to install photovoltaic and energy storage system for residents and to upgrade the grid for resilience is considered in the model and the stability conditions of equilibriums of the evolutionary game are analyzed. The resilience evolution simulation model considering disaster stochasticity is …
Research On Low Computational Predictive Control Strategy Of Three-Level Four-Arm Apf,
2022
School of Electrical Engineering and Automation, Jiangsu Normal University, Xuzhou 221116, China;
Research On Low Computational Predictive Control Strategy Of Three-Level Four-Arm Apf, Guifeng Wang, Jinxing Guo
Journal of System Simulation
Abstract: Four-arm active power filter(APF) is an ideal device to the power quality of three-phase four-wire distribution network. Owing to the sufficient number of base vectors, three-level four-arm APF has better current tracking performance, but the prediction calculation amount is too large when model predictive current control is applied. A model prediction voltage control strategy based on the idea of space stratification is proposed. Based on the deadbeat control idea and the discrete mathematical model in αβγ coordinate system, the expected reference voltage is predicted from the reference current, and the multiple current predictions are converted into the single voltage …
Research On Emotional Contagion And Intervention Strategy Of Indoor Evacuation Based On Risk Perception,
2022
1.School of Economics and Management, China University of Geosciences, Wuhan 430074, China;
Research On Emotional Contagion And Intervention Strategy Of Indoor Evacuation Based On Risk Perception, Yang Zeng, Jinling Li, Haixiang Guo, Weiming Chen
Journal of System Simulation
Abstract: Aiming at the panic emotion contagion in the indoor emergency evacuation with multi-exit and multi-obstacle, an emotional contagion model is constructed on personality traits, risk perception differences of age and gender, and consciousness regulation. The simulation is carried out by using AnyLogic, which combines individual emotions with evacuation speed to realize the real-time updating of emotional state and speed. That personnel intervention in the process of evacuation can effectively alleviate the spread of panic emotion, is verified and can provide the theoretical basis for panic contagion in the process of emergency evacuation. The results show that the degree of …
Indicadores De Sustentabilidad Vba Mesmis,
2022
Universidad de Cundinamarca
Indicadores De Sustentabilidad Vba Mesmis, Geovanny Andres Martinez Jimenez
Ciencias Administrativas, Económicas y Contables
El presente libro se ha diseñado con el propósito de que el lector tenga una experiencia satisfactoria al momento de emplear los indicadores VBA MESMIS. Por tanto, el documento se estructura de manera minuciosa en dos apartados; el primero que trata acerca de los criterios de diagnóstico, en el que se plantea un ejemplo con información de tres unidades productivas, con el fin de i) desarrollar los indicadores correspondientes a los criterios; ii) conocer el nivel de desempeño de los indicadores; iii) realizar un análisis general y proponer recomendaciones para el fortalecimiento de la sustentabilidad de las unidades productivas; en …
The Observation Of Smart Camera Security,
2022
California State University, San Bernardino
The Observation Of Smart Camera Security, Shun-Hsin Wang
Electronic Theses, Projects, and Dissertations
At present, as the Internet of Thing (IoT) is increasingly widely used in human life, how to protect IoT devices from Malware attack has become an inevitable problem. This project is an analysis of two malwares and how they impact the Internet of Thing (IoT), especially the smart cameras common in people’s life and used in the enterprise. The analysis looks at the vulnerabilities of smart cameras and how Mirai malware and Persirai malware take advantage to these vulnerabilities to attack smart cameras within the network through the simulation process. Through the simulation, although both malwares were implemented using different …
A Systems Theory-Based Framework For Environmental Scanning In Complex System Governance,
2022
Old Dominion University
A Systems Theory-Based Framework For Environmental Scanning In Complex System Governance, Dale E. Baugh
Engineering Management & Systems Engineering Theses & Dissertations
The purpose of this research was to develop a Systems Theory-based framework for Environmental Scanning (ES) in Complex System Governance (CSG) using an inductive research design. Complexity and uncertainty are normal for external environments in which today’s systems (organizations) exist. These environmental characteristics provide impetus for researchers to focus on organizational planning for disruptive external forces that could threaten system stability and future system existence. The ES function supports the requisite governance metasystemic functions to be enabled, executed, and evolved sufficiently well to promote continuous system viability. In this research the functioning of ES was examined from a diverse literature-based …
Learning Curve Characterization Within Complex Low-Rate Production Environments,
2022
Old Dominion University
Learning Curve Characterization Within Complex Low-Rate Production Environments, Robert J. Gies
Engineering Management & Systems Engineering Theses & Dissertations
Traditional and current learning curve approaches, methods, and theories were deficient when addressing complex low-rate production systems. The purpose of this research was to address this problem and develop a learning curve approach that characterizes learning in low-rate production environments such as naval ship construction. This research identified the principal aspects that influence learning within this environment and developed a learning characterization more reflective of this environment.
There obviously exists a large body of knowledge covering learning. However, the research contained herein addresses learning as it relates to learning curves in low-rate production environments, such as naval shipbuilding. The various …
Contribution Rate Calculation Method To System-Of-Systems Based On Interval-Valued Intuitionistic Fuzzy Number Anp,
2022
1.School of Software Engineering, South China University of Technology, Guangzhou 510006, China;
Contribution Rate Calculation Method To System-Of-Systems Based On Interval-Valued Intuitionistic Fuzzy Number Anp, Zejian Ding, Songtao Sun, Zhiwen He, Fei Liu
Journal of System Simulation
Abstract: Contribution rate to system-of-systems (CRSoS) is mainly used to measure the contribution of an equipment to system of systems (SoS) in system construction. In order to solve some problems in the calculation of CRSoS, a multi-level equipment indicator architecture of "task-ability-indicator- equipment" is proposed. At the same time, considering the characteristics of the equipment indicator architecture, ANP (analytic network process) and IVIFN (interval-valued intuitionistic fuzzy number), a IVIF-ANP calculation method is proposed to obtain more accurate CRSoS. Experiments show that this method can not only solve the problem of the calculation formula of CRSoS, but also obtain more …
Simulation And Effectiveness Evaluation System For Joint Delivery Mission Planning Of Airlift Fleets,
2022
The First Aircraft Institute of Aviation Industry Corporation of China, Xi’an 710089, China;
Simulation And Effectiveness Evaluation System For Joint Delivery Mission Planning Of Airlift Fleets, Guochen Wang
Journal of System Simulation
Abstract: Airlift fleet plays an important role in modern war. Compared with other countries such as the USA and Russia, China's airlift fleet still has obvious shortcomings and deficiencies. To analysis and optimize the future fleet alternatives, a software tool is established with the modules of model construction and management, scenarios editing, mission planning, simulation deduction, effectiveness analysis. This tool mainly focuses on the interactive relationship between the transport aircraft and cargo, airport and so on, as well as the cooperative relationship of different types of aircraft, which can realize the functions of automatic generation of loading schemes, automatic planning …
Multi-Uav Trajectory Planning Based On Adaptive Segmented Potential Field Method,
2022
School of Information Engineering, Nanchang Hang Kong University, Nanchang 330063, China;
Multi-Uav Trajectory Planning Based On Adaptive Segmented Potential Field Method, Guangjian Tian, Jiyang Dai, Jin Ying, Ning Wang
Journal of System Simulation
Abstract: To solve the problems that the traditional artificial potential field method is prone to fall into the local extreme value, target unreachability and excessive curvature of the planned trajectory curvature in the application of UAV trajectory planning, on the basis of the layered potential field method, a method of adding a second local attractive field at the target point and an attractive set composed of the target attractive field is proposed. This method overcomes the defects of unreachable targets and easy falling into local extremes. In addition, a piecewise function is introduced into the original layered potential field method, …
Simulation Of O2o Platform Transaction Considering The Constituted Information,
2022
School of Management, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China;
Simulation Of O2o Platform Transaction Considering The Constituted Information, Wen Zheng, Ke Shi, Jingyi Zhu
Journal of System Simulation
Abstract: In the transactions concluded with the help of APP, the information intervenes into the transaction process in the form of constituted information. The constituted information is classified into three degrees in a two-sided market. By introducing the three degrees of the constituted information: information acceptance (IA), information diversity (ID) and information loss (IL), the Swarm Class Library and the interactive Agents are designed to construct a systematic O2O (online to offline)platform transaction model, which encapsulates the Consumer/Seller/PlatformAgents. The constituted information acts as the systematic conditions of invoking and judging, and the graphical user interface (GUI) outputs the …
Research On Mobile Edge Computing Resource Allocation With Energy Harvesting Device,
2022
1.School of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412000, China;
Research On Mobile Edge Computing Resource Allocation With Energy Harvesting Device, Changyun Li, Jianbo Li, Xi Xu, Tingli Li
Journal of System Simulation
Abstract: In order to solve the problem of computing resource allocation of mobile edge computing system with energy gathering ability, an algorithm based on Lyapunov greed optimization (LGO) is proposed. This paper presents a dynamic optimization problem to minimize the combined cost of time delay and energy consumption of mobile devices under the gradual convergence of equipment battery power. Using Lyapunov dynamic optimization theory, the optimization problem is decomposed into three sub-problems of optimal local execution, unloading execution and energy harvesting for each time slot, and the optimal solution of the sub-problems is obtained by linear programming. By selecting the …
Bilevel Distributed Optimal Dispatch Of Active Distribution Network With Multi-Microgrids,
2022
State Key laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China;
Bilevel Distributed Optimal Dispatch Of Active Distribution Network With Multi-Microgrids, Yongjun Lin, Xin Chen, Kai Yang, Shanshan Zhou, Qingfei Bai
Journal of System Simulation
Abstract: With continuous increase of the penetration proportion of renewable energy in the distribution network, the traditional centralized dispatching is facing problems such as high pressure of power flow calculation and difficulty in recycling renewable energy, which makes it difficult to guarantee the operation quality of the system. A distributed optimal two-layer scheduling method for active distribution networks with multiple micro-grids is proposed. The upper-level aims to minimize the loss of regional distribution network, the second-order conical relaxation method and synchronous ADMM (alternating direction method of multipliers) algorithm are used to solve the scheduling instructions of the micro-grid connection lines. …
A Wind Turbine Fault Diagnosis Method Based On Siamese Deep Neural Network,
2022
College of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;
A Wind Turbine Fault Diagnosis Method Based On Siamese Deep Neural Network, Jiarui Liu, Guotian Yang, Xiaowei Wang
Journal of System Simulation
Abstract: In order to effectively extract the fault features of time series data in supervisory control and data acquisition (SCADA), considering the advantages of one-dimensional convolutional neural network (1-D CNN) for extracting local time series features and the advantages of long-term memory (LSTM) which can extract long-term dependent features, a method for fault diagnosis of wind turbines based on 1-D CNN-LSTM is proposed. To solve the problem of the scarcity of fault samples of wind turbines based on the siamese network architecture, a wind fault diagnosis method based on siamese 1-D CNN-LSTM is proposed. The proposed siamese 1-D CNN-LSTM …
Design And Simulation-Based Evaluation Of Taxiway Operation Scheme For Multi-Runway Airport Maneuvering Area,
2022
Civil Aviation Flight University of China, Guanghan 618300, China;
Design And Simulation-Based Evaluation Of Taxiway Operation Scheme For Multi-Runway Airport Maneuvering Area, Xinping Zhu, Chuan Xu, Jingjing Qu, Tingwen Su
Journal of System Simulation
Abstract: The operational scheme of the taxiway system is very important to promote the efficient utilization of airfield resources in multi-runway airports. The design and simulation evaluation methods of the taxiway operation scheme for multi-runway airports are studied. The design principles of "fixed, unidirectional, compliant and circular" taxiway operation scheme and the design paradigm of the operation scheme are presented, and the concepts of taxiway space occupancy index and potential conflict index are proposed. Using Haikou Meilan International Airport as the application scenario, the corresponding optimization scheme of the taxiway system in the maneuvering area is given based on …
Transmission Line Insulator Recognition Based On Artificial Images Data Expansion,
2022
1.Department of Automation, North China Electric Power University, Baoding 071003, China;
Transmission Line Insulator Recognition Based On Artificial Images Data Expansion, Yaru Wang, Kai Yang, Yongjie Zhai, Congbin Guo, Wenqing Zhao, Jie Su
Journal of System Simulation
Abstract: Deep learning method has developed rapidly in the field of computer vision, but relies on a large quantities of training data. In the task of transmission line insulator automatic detection, problems such as insufficient number of aerial insulator images and poor diversity affect the accuracy of insulator recognition. An artificial insulator images data expansion method is proposed. Artificial insulator images are created by modeling software, and a compensation network is constructed. The artificial images are compensated and optimized by compensation network, and the aerial insulator image data set is expanded by the compensated artificial insulator images. The insulator recognition …
Research On Key Technology Of Uavs Autonomous Landing Based On Relative Precise Point Position,
2022
School of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
Research On Key Technology Of Uavs Autonomous Landing Based On Relative Precise Point Position, Guohua Kang, Teng Zhao, Yao Fu, Weizheng Xu, Jianyu Wei, Yuhuan Qiu, Junfeng Wu
Journal of System Simulation
Abstract: In complex sea conditions with wind and waves, the relative motion between unmanned aerial vehicles (UAVs) requiring autonomous landing and ships is highly uncertain. In order to improve the accuracy of relative positioning and control during autonomous landing, and to ensure the safety and reliability of autonomous landing, a relative precise point positioning (RPPP) technique based on differential tropospheric error is proposed. The technology only relies on data link and carrier satellite positioning receiver to eliminate the same error of satellite positioning in the same environment and obtain accurate relative positioning. The combination of proportional navigation and linear quadratic …
Nonlinear System Identification Based On Combined Signal Sources,
2022
1.College of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China;
Nonlinear System Identification Based On Combined Signal Sources, Tian Zheng, Feng Li, Naibao He, Ya Gu
Journal of System Simulation
Abstract: Aiming at the interference of noise in the nonlinear system, the identification modeling method of the neuro-fuzzy Hammerstein output error nonlinear system is considered. The combined signal sources are used to realize the parameter identification separation of the linear block and the nonlinear block. The correlation analysis method and the recursive least square identification method based on auxiliary model technique are derived to estimate the parameters of dynamic linear block and nonlinear block, which can effectively suppress the interference of system output noise. Compared with least square algorithm, polynomial model and multi-innovation method, the simulation results demonstrate that the …
