An Equivalent Method Of Uav Simulating High-Altitude Reconnaissance Equipment Optical Imaging,
2021
1. Training Base of Army Engineering University, Xuzhou 221004, China; ;
An Equivalent Method Of Uav Simulating High-Altitude Reconnaissance Equipment Optical Imaging, Jiangang Tu, Xu Cheng, Wang Hui, Zenghui Shen
Journal of System Simulation
Abstract: Aiming at the situation that the actual image of enemy reconnaissance equipment is difficult to be obtained, and the process of using similar equipment of our army is complicated and expensive in the detection of the camouflage effect of our important military targets, an equivalent detection method of using the UAV aerial photography to generate the high-altitude optical reconnaissance images is proposed. The number of pixels in the equivalent image is determined by comparing the acquisition height and the optical imaging device’s parameters of the UAV and the high-altitude reconnaissance equipment. The compressed pixel value is calculated through the …
Joint Distribution Location-Routing Problem And Large Neighborhood Search Algorithm,
2021
1. School of Information, Beijing Wuzi University, Beijing 101149, China; ;
Joint Distribution Location-Routing Problem And Large Neighborhood Search Algorithm, Zhenping Li, Yuwei Zhao, Yuwei Zhang, Lining Xing, Ren Teng
Journal of System Simulation
Abstract: Based on the characteristics of two-echelon, multi-center, and heterogeneous fleets in urban logistics joint distribution system, the two-echelon joint distribution location routing problem is studied. The problem is formulated into a mixed integer programming model to minimize the total costs. An adaptive large neighborhood search algorithm (ALNS) for solving the model with multiple deletion and insertion operators is proposed to obtain neighborhood solution. The selection probability of each operator is adjusted according to the neighborhood solution to accelerate the convergence speed. Several test examples are generated based on the benchmark of location-routing problem. Both ALNS algorithm and Gurobi software …
Modeling And Simulation Of Crowd Multi-Perception Behavior Model In Closed Public Places,
2021
School of Management and Engineering, Capital University of Economics and Business, Beijing 100070, China;
Modeling And Simulation Of Crowd Multi-Perception Behavior Model In Closed Public Places, Ma Jun, Hu Jun
Journal of System Simulation
Abstract: The social forces-based multi-agent modeling method is used to build the crowd simulation models in most of the existing crowd behavior simulation software systems. From the perspective of cognitive psychology, combined with the spatial logic model of the generalized influence of the crowd obtained by the author’s previous research, and based on the sigmoid function, the mathematical model of the individual visual and auditory perception of the crowd is constructed. Taking the typical subway transfer hall as an example, the objective function of large passenger volume evacuation optimization is established to construct the crowd evacuation simulation model. The simulation …
High Performance Simulation Method And Test Platform For Full Envelop Of Flight Vehicle,
2021
1. Key Laboratory of Space Physics, Beijing 100076, China; ;
High Performance Simulation Method And Test Platform For Full Envelop Of Flight Vehicle, Jianlin Wang, Sufang Chen, Tie Ming, Liu Jing, Zhang Jun
Journal of System Simulation
Abstract: In order to meet the needs of the overall performance simulation and verification of the vehicle with large subsamples and massive states, a high-performance simulation method is proposed, in which a parallel simulation architecture based on high-performance computers is established, the technologies and software such as decoupling of simulation tasks, real-time monitoring of simulation, concurrent conflict control and automatic aggregation of large-scale test results are realized, and a test platform for the large-scale parallel verification of flight performance is developed. Simulation results show that the method has high acceleration ratio and scalability, and can complete the verification efficiently, …
Research On Simulation And Optimization Of Maintenance Support Mode And Human Resources Auocation For Complex Equipment,
2021
1. Department of Equipment Support and Remanufacture of Army Academy of Armored Forces, Beijing 100072, China; ;
Research On Simulation And Optimization Of Maintenance Support Mode And Human Resources Auocation For Complex Equipment, Junhai Cao, Yiming Guo, Chuang Zhang, Qingyi Guo
Journal of System Simulation
Abstract: Aiming at the single maintenance support mode of the army’s complex equipment and the strong randomness of human resource allocation, the military-level equipment maintenance process is taken as the research object, the complex equipment maintenance plan, maintenance support mode, human resource configuration, and maintenance process flow are analyzed. The simulation model of a complex equipment maintenance workshop is constructed, the influence of maintenance plans, maintenance support modes, and human resource allocation on indicators of “maintenance support time” and “human resource satisfaction rate” is explored, the internal laws is analyzed and the manpower optimal allocation for the maintenance of …
Survey Of Evolutionary Behavior Tree Algorithm,
2021
College of Systems Engineering, National University of Defense Technology, Changsha 410073, China;
Survey Of Evolutionary Behavior Tree Algorithm, Yang Jie, Zhang Qi, Junjie Zeng, Quanjun Yin
Journal of System Simulation
Abstract: Evolutionary behavior tree method is an agent behavior modeling method which uses evolutionary algorithm to generate and optimize behavior tree model. Based on the background knowledge of behavior tree and evolutionary algorithm, three kinds of evolutionary behavior tree algorithms based on genetic programming, grammar evolution and hybrid algorithm as well as corresponding improved algorithms are described, and the advantages and disadvantages of different algorithms are analyzed and compared. The specific applications of evolutionary behavior tree in combat simulation, game artificial intelligence, robotics and other fields are summarized. The future development trends of evolutionary behavior tree are proposed and discussed …
Research On Experimental Method Of Joint Operation Simulation Based On Human-Machine Hybrid Intelligence,
2021
1. Joint Operations College, National Defense University, Beijing 100091, China; ;2. Graduate School, National Defense University, Beijing 100091, China;
Research On Experimental Method Of Joint Operation Simulation Based On Human-Machine Hybrid Intelligence, Ma Jun, Jingyu Yang, Wu Xi
Journal of System Simulation
Abstract: In view of the difficulties that the joint operation simulation experiment methods are mainly for guiding equipment evaluation and demonstration, which is difficult to effectively support the research of operation problems, a joint operation simulation experiment method based on human-machine hybrid intelligence is proposed. The classification, generation and accumulation process of the knowledge in joint operation simulation experiment are clarified. Through the detailed descriptions of experimental interaction process, experimental operation process, experimental driving mode, simulation operation mode, supporting system structure, etc., a joint operation simulation experiment framework based on man-machine hybrid intelligence is constructed. It provides a new method …
Optimized-Xgboost Early Warning Of Wind Turbine Generator Front Bearing Fault,
2021
1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; ;
Optimized-Xgboost Early Warning Of Wind Turbine Generator Front Bearing Fault, Le Wei, Xiaodong Hu, Yin Shi
Journal of System Simulation
Abstract: In order to identify the abnormal running state of the generator in time, a wind turbine generator front bearing fault early warning method based on Bayesian optimized extreme gradient boosting algorithm is proposed. The historical data collected by SCADA (Supervisory Control And Data Acquisition) are preprocessed by effective data preprocessing methods. The temperature prediction model of the front bearing of wind turbine generator is constructed based on the Bayesian-optimized XGBoost (eXtreme Gradient Boosting) algorithm and the fault early warning threshold of the front bearing of the wind turbine generator is determined based on the 3σ criterion. The experimental …
Reusability Analysis And Application For Complex System Simulation Model,
2021
1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;
Reusability Analysis And Application For Complex System Simulation Model, Zhu Feng, Yiping Yao, Wenjie Tang, Li Jin
Journal of System Simulation
Abstract: Model reuse is an important way to improve the development efficiency of complex system simulation application. At present, there are few researches on the reusability of simulation model and its impact on the development efficiency of complex system simulation application integration by using qualitative/quantitative methods. A simulation model reusability analysis method is proposed. By introducing the simulation application integration development speedup ratio, the simulation model reusability analysis mathematical model is constructed, and the requirements of model interface, model testing and information description for improving model reusability are analyzed qualitatively. Through two typical case studies, the influence of reusable simulation …
Scheduling Optimization Research Based On Tabu Algorithm For Uncertainty Carrier Aircraft Support,
2021
Qingdao Campus of Naval Aviation University, Qingdao 266041, China;
Scheduling Optimization Research Based On Tabu Algorithm For Uncertainty Carrier Aircraft Support, Yangkai Meng, Wang Zheng, Jiali Fan
Journal of System Simulation
Abstract: In order to improve the scheduling stability of ship-borne and reduce the uncertainty risk during the operation, the deck scheduling mathematical model is designed. For the refueling uncertainty, the equipment failure distribution function is established, and the research method of guarantee operation risk factor value and fault opportunity influence factor is proposed. The uncertainty target function calculation model is derived and solved using the improved taboo algorithm to obtain the scheduling optimization scheme. Simulation experimental results verify the effectiveness and feasibility of the proposed research method.
Research On Assocoation Information Mining Of Space Reconnaissance Equipment System Index,
2021
Space Engineering University, Beijing 101416, China;
Research On Assocoation Information Mining Of Space Reconnaissance Equipment System Index, Han Chi, Xiong Wei
Journal of System Simulation
Abstract: The system effectiveness and system contribution rate of the Space Reconnaissance Equipment System (SRES) has a large number of mutally associated indicators. How to identify relationships the association, select the key indicators and clarify the assocition between core indicators and system contribution rate are the key of the evaluation of system effectiveness and contribution rate. Through the joint simulation of MATLAB and STK, the underlying index data of SRES is obtained. Based on the Frequent Pattern-Tree (FP-Tree) algorithm, the assocition information is discovered, the redundancy is removed and the type of indicator assocition is determined, and an optimization model …
Research On The Network Of 3d Smoke Flow Super-Resolution Data Generation,
2021
Beijing University of Technology, Faculty of Information Technology, Beijing 100029, China;
Research On The Network Of 3d Smoke Flow Super-Resolution Data Generation, Jinlian Du, Shufei Li, Xueyun Jin
Journal of System Simulation
Abstract: Aiming at the problem of low data generation efficiency due to the high complexity of solving the N-S equation of smoke flow field, a deep learning model which can generate high-resolution smoke flow data based on low-resolution smoke flow data solved by N-S equation is explored and designed. Based on the Generative Adversarial Network, the smoke data reconstruction network based on the sub voxel convolution layer is constructed. Considering the fluidity of smoke, time loss based on advection step is introduced into the loss function to realize high-precision smoke simulation. By extending the image super-resolution quality evaluation index, the …
Modeling And Simulation Of Car Following In Fog Based On Cellular Automata,
2021
Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China;
Modeling And Simulation Of Car Following In Fog Based On Cellular Automata, Zhanhong Liu, Xiujian Yang, Xiangji Wu, Huang Zhen
Journal of System Simulation
Abstract: In order to ensure the safety of driving in foggy weather, a microscopic model of car following and lane changing traffic flow is established based on cellular automata. In view of the instability of car following state in foggy weather, dynamic random acceleration is introduced to segment modeling. The simulation accuracy is improved by refining cell size and cell step size and adding position update allowance. The relationship curves of speed and vehicle dispersion with time and the speed density diagram are obtained. The results show that: the vehicle speed fluctuates greatly in medium fog; the dispersion …
Three-Dimensional Visual Dynamic Simulation Of Rice Leaf Cells,
2021
1. School of Software Engineering, Jiangxi Agricultural University, Nanchang 330045, China; ;
Three-Dimensional Visual Dynamic Simulation Of Rice Leaf Cells, Deheng Zhao, Yingding Zhao, Hongyun Yang, Wenlong Yi
Journal of System Simulation
Abstract: To explore the evolution process of rice leaf cell morphology with the help of computer visualization technology, it is necessary to establish the biomechanical relationship between the cell geometry model and its deformation. A dynamic simulation method is proposed for the 3D visualization of leaf cells based on the physical-mechanical properties, in which the cytoskeleton topology is represented by a "half-edge" data structure, and the surface geometries are constructed using a bicubic Bézier surface. The control parameters of a deformed surface are determined through "vertex", "edge" or "face" topological unit query algorithms of the cytoskeleton, and the cell stress-strain …
Research On Simulation Data Mapping For Production Performance Digital Twin,
2021
Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;
Research On Simulation Data Mapping For Production Performance Digital Twin, Junfeng Wang, Yufan Zhang, Yaoqi Shao, Shiqi Li
Journal of System Simulation
Abstract: To fully use the real-time data of the physical workshop to realize the accurate mapping of the data to the virtual workshop and drive the simulation and optimization of the manufacturing system, a data mapping method for the digital twin simulation of production performance is proposed. The fusion process of simulation data and production logic model is analyzed from the aspects of simulation data modeling, storage and updating. Focusing on the production performance simulation requirements, the redundancy analysis, outlier analysis and elimination, statistics and fitting of the original production site sample data is preprocessed. The real-time mapping update process …
Modeling And Simulation Of Channel Passage Capacity Based On Cellular Automata,
2021
1. School of Navigation, Wuhan University of Technology, Wuhan 430063, China; ;2. Hubei Key Laboratory of Inland Shipping Technology, Wuhan 430063, China;
Modeling And Simulation Of Channel Passage Capacity Based On Cellular Automata, Zongyang Liu, Chunhui Zhou, Junnan Zhao, Jinli Xiao, Langxiong Gan
Journal of System Simulation
Abstract: In order to study the passage capacity of the seaport and explore the service level of the channel, the cellular automata theory is used to discretize and model the main channel of the seaport, and the movement rules of the cell in the channel are processed in sections. In addition, this study focuses on the existence of a traffic "warning zone" in the curved channel section. The ship motion rules of the straight channel section and the curved channel section are respectively constrained, through simulation experiments, the vessel traffic flow of the channel and the maximum ship passing …
Virtual And Real Fusion Experiment Simulation Technology Based On Gesture Interaction,
2021
1. Guangdong University of Technology, Guangzhou 510006, China; ;3. Department of Artificial Intelligence and Big Data, Yibin university, Yibin 644007, China;
Virtual And Real Fusion Experiment Simulation Technology Based On Gesture Interaction, Xuyan Zou, Hanwu He, Yueming Wu, Jingwei Deng
Journal of System Simulation
Abstract: In experimental teaching, some traditional experiments cannot be carried out due to limitations of experimental environment, experimental equipment, and faculty. In order to solve the above problems, the method of constructing virtual and real fusion simulation experiment using depth cameras is explored.. The Aruco labeling algorithm is used to achieve one-to-one registration of the virtual scene and the real scene, and the experimental environment of virtual and real fusion is constructed combining the colour images and depth images collected by the depth camera in real time. In order to achieve the purpose of operating virtual equipment, a gesture interaction …
Noahqa: Numerical Reasoning With Interpretable Graph Question Answering Dataset,
2021
Singapore Management University
Noahqa: Numerical Reasoning With Interpretable Graph Question Answering Dataset, Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
While diverse question answering (QA) datasets have been proposed and contributed significantly to the development of deep learning models for QA tasks, the existing datasets fall short in two aspects. First, we lack QA datasets covering complex questions that involve answers as well as the reasoning processes to get the answers. As a result, the state-of-the-art QA research on numerical reasoning still focuses on simple calculations and does not provide the mathematical expressions or evidences justifying the answers. Second, the QA community has contributed much effort to improving the interpretability of QA models. However, these models fail to explicitly show …
Occluded Person Re-Identification With Single-Scale Global Representations,
2021
Singapore Management University
Occluded Person Re-Identification With Single-Scale Global Representations, Cheng Yan, Guansong Pang, Jile Jiao, Xiao Bai, Xuetao Feng, Chunhua Shen
Research Collection School Of Computing and Information Systems
Occluded person re-identification (ReID) aims at re-identifying occluded pedestrians from occluded or holistic images taken across multiple cameras. Current state-of-the-art (SOTA) occluded ReID models rely on some auxiliary modules, including pose estimation, feature pyramid and graph matching modules, to learn multi-scale and/or part-level features to tackle the occlusion challenges. This unfortunately leads to complex ReID models that (i) fail to generalize to challenging occlusions of diverse appearance, shape or size, and (ii) become ineffective in handling non-occluded pedestrians. However, real-world ReID applications typically have highly diverse occlusions and involve a hybrid of occluded and non-occluded pedestrians. To address these two …
A Comparative Study On Feature Extraction And Classification/Clustering Of Fake News And Conspiracy Theories From Twitter Data,
2021
Columbus State University
A Comparative Study On Feature Extraction And Classification/Clustering Of Fake News And Conspiracy Theories From Twitter Data, Deb Shana
Theses and Dissertations
Fake news and conspiracy theories have become largely abundant in the expanding world of social media. They predominantly affect the beliefs and thoughts of the public, resulting in chaos. They have always existed throughout the last few decades. They have been linked to prejudice, revolutions and genocide across history. They have also been known to have propelled people to reject mainstream medicines to an extent where some diseases are recurring in some parts of the world. They impose a serious impact since they are capable of spreading very fast Thus, it is very important to find suitable ways to detect …
