Research On Approximate Reference Algorithm Of Svdbn Based On Sliding Window,
2020
School of Information and Electronics, Xi'an Polytechnic University, Xi'an 710048, China;
Research On Approximate Reference Algorithm Of Svdbn Based On Sliding Window, Haiyang Chen, Chai Bing, Ruilan Wang, Cao Lu
Journal of System Simulation
Abstract: Structure-variable dynamic Bayesian networks (SVDBN) have the special advantage in dealing with the uncertainty of the unstable processes. In order to overcome the disadvantage that the inference algorithms of the SVDBN are unable to apply online, introducing the concepts of SVDBN sliding window and the window width, the online approximate inference mechanism of structure-variable dynamic Bayesian networks based on sliding window is explained, and two online algorithms are proposed, that is the recursive inference algorithm of structure-variable discrete dynamic Bayesian networks (SVDDBN) based on sliding window and the fast inference algorithm of SVDDBN based on sliding window. Experimental simulations …
Integrated Simulation Test Platform For Environment Perception And Planning Decision Of Intelligent Vehicle,
2020
1. Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China;;
Integrated Simulation Test Platform For Environment Perception And Planning Decision Of Intelligent Vehicle, Sun Jian, Runhan Huang, Li Lin, Qiyuan Liu, Yudi Li
Journal of System Simulation
Abstract: The simplicity of testing modules and the lack of high-fidelity and high-density traffic scenes are the primary issues in the intelligent vehicle' simulation test. To solve these problems, a "software in the loop" integration test platform is built. The environmental perception module is integrated on the basis of the PreScan, the planning decision-making module designed by MATLAB/Simulink and the virtual traffic flow environment from Vissim. Based on this platform, high-fidelity traffic flow scenes can be generated rapidly to support the test of environment perception and decision-making integratedly and effectively. Moreover, the intelligent vehicle's influence on the traffic flow …
Tele-Robot Control System With Online Virtual Simulation Prediction,
2020
School of Information Engineering, Nanchang University, Nanchang 330031, China;
Tele-Robot Control System With Online Virtual Simulation Prediction, Lingyan Hu, Kangbai Shi, Bichun Zhang, Shaoping Xu
Journal of System Simulation
Abstract: When a tele-robot with virtual simulation system works in a complicated environment, the virtual scene may not synchronize with the real one. This may cause the operator on the master side to give wrong instruction. This paper presents a tele-robot with online virtual model correction. The virtual simulation system on the master side builds a virtual model of environment and robot on the slave side. It predicts the motion of the slave robot in real time according the commands from the operator. In order to ensure the virtual scene synchronize with the real one, the measured data on the …
Monocular Depth Image Mark-Less Pose Estimation Based On Feature Regression,
2020
Key Laboratory of Advanced Control Light Process, Jiangnan University, Wuxi 214000, China;
Monocular Depth Image Mark-Less Pose Estimation Based On Feature Regression, Chen Ying, Shen Li
Journal of System Simulation
Abstract: Monocular camera mark-less pose estimation system suffers low accuracy, robustness and efficiency due to variety of action, self-occlusion of human body. A method of feature exaction from point clouds was proposed, in which a single-to-multiple (S2M) feature regressor and a joint position regressor were designed to quickly and accurately predict the 3D positions of body joints from a single depth image without any temporal information. Experiment result shows that the estimation accuracy is superior to that of state-of-the-arts and multi-camera based methods.
Cascade Transmission Evaluation Of Ecosystem Damage Caused By Dust Migration,
2020
School of Management, Xi'an University of Architecture and Technology, Xi'an 710055, China;
Cascade Transmission Evaluation Of Ecosystem Damage Caused By Dust Migration, Guangqiu Huang, He Tong, Qiuqin Lu
Journal of System Simulation
Abstract: To solve the cascade transmission evaluation of ecosystem damage caused by dust migration in mining area, the migration network is constructed by dust migration path, and the potential hazard source path is identified. The definition of Petri-net simulation model of ecosystem damage with cascade propagation (PN-EDCP) is given, and the general method of abstracting migration paths network into a Petri net model is expounded. By introducing the concepts of attributes and methods of place objects into Petri net model, the real meaning of the model is clear, and the ability of describing and analyzing the logical relationship between ecosystem …
Demand Forecasting Of Wartime Spares Based On Evidence Theory,
2020
PLA Information and Technology University, Zhengzhou 450001, China;
Demand Forecasting Of Wartime Spares Based On Evidence Theory, Yunjing Zhang, Xinxin Wang, Wang Yang, Guangming Tang
Journal of System Simulation
Abstract: A new method based on evidence theory is proposed to solve the lack of data for the demand prediction of spares in wartime. Utilizing Markov chain model to research the rule of spares demand of peacetime from the historical data. A Markov chain transfer probability adjustment strategy, based on the change of combat intensity, is designed, which can be used to simulation the rule of spares demand in wartime. Under the experience of experts and the combination of the Fuzzy theory and evidence theory, the spares demand is wartime is forecasted. The simulation example shows that the …
Optimization Model And Method Of Urban Road Traffic Signal Control Under Rainfall Environment,
2020
1. Beijing Union University, Beijing 100101, China;;
Optimization Model And Method Of Urban Road Traffic Signal Control Under Rainfall Environment, Shaohu Tang, Zhou Jin, Chunlin Shang, Guorong Zheng
Journal of System Simulation
Abstract: The efficiency of urban road traffic operation fell obviously during a rain, and the existing road traffic signal control has not yet established a relevant signal optimization scheme. Considering the traffic operation scenario under the influence of rainfall and road water, an urban road traffic cyber physical systems is designed, a framework of urban road traffic control based on cyber physical systems is built, an optimization model of traffic signal control is established, and further more, the solution method of the model is designed by using BP neural network. Building a traffic simulation model of the example intersection, comparing …
Simulation Research And Application On Urban Rail Transit Fully Automatic Operation System,
2020
1. Traffic Control Technology Co., Ltd, Bejing 100070, China;;
Simulation Research And Application On Urban Rail Transit Fully Automatic Operation System, Du Heng, Chunhai Gao, Huang Qing, Huaiming Cang
Journal of System Simulation
Abstract: Following the development of the key technologies for the Fully Automatic Operation (FAO) of urban rail transit and the application of autonomous fully automatic operation system demonstration projects, more and more urban rail transit lines choose the FAO system. High availability, high reliability and high security also need high requirements on the testing and verification before the line is operated. Through the simulation research of the fully automatic operation system, combined with the comprehensive debugging and verification management platform of the Yanfang Line's fully automatic independent demonstration project, the scenario-based FAO system simulation model is established, the key technologies …
Research On Glide Width Simulation System Of Instrument Landing System,
2020
1. School of Mechatronics, Shenyang Aerospace University, Shenyang 110136, China;;
Research On Glide Width Simulation System Of Instrument Landing System, Chunying Jiang, Yuxiang Kang, Xiaofeng You, Xiaoxin Zhang, Changlong Ye
Journal of System Simulation
Abstract: Based on the principle of the formation of the instrumental landing system ILS(Instrument Landing System) gliding DDM(Different in the Depth of Modulation) index, and the factors that affect DDM are found as the amplitude of SBO(Sideband Only) signal. The relationmodel between the amplitude and the glide width, of the Half-width SBO signal in the linear variation range of DDM are obtained by the control variable method. And Based on the measured data, the correctness of the model is verified. Based on the mathematical model and combined with the NM7000 equipment, a simulation system is built to dynamically …
Simulation And Optimization Of Aircraft Sliding Path,
2020
1. College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China;;
Simulation And Optimization Of Aircraft Sliding Path, Zhiwei Xing, Mingyi Xu, Luo Xiao, Luo Qian
Journal of System Simulation
Abstract: Variable taxiing time is an important indicator to the characteristics of the airport traffic flow assessment, which affects the airport operating efficiency, the passenger satisfaction for the airline and the pollution emissions. For a large hub airport, according to the principle of cellular automata and the congestion of traffic flow, the airport taxiing area is regarded as the network topology of nodes and links, and the conflict between taxi rules and aircraft is taken as the constraint. The simulation analysis is carried out on the basis of constructing the model of airplane departure traffic flow, using Monte Carlo algorithm …
Improving The Efficiency Of Transport Systems Using Simulation,
2020
China Simulation Federation
Improving The Efficiency Of Transport Systems Using Simulation, Bushuev Sergey, Kovalev Igor, Permikin Vadim, Anashkina Nataliia
Journal of System Simulation
Abstract: The article describes the possibilities of application of simulation modeling for the analysis of infrastructure and technology of transport services of enterprises. The main technological and possible economic effects for the enterprises arising at performance of modeling of a transport component of their work are resulted.
Situation Cognition And Decision Modeling Method For Submarine Operation Based On Discriminant Matrix,
2020
1. 92337 Troops, Dalian 116023, China;;
Situation Cognition And Decision Modeling Method For Submarine Operation Based On Discriminant Matrix, Dongjun Zhang, Weiping Wang, Li Xiao, Zhang Lei, Xiaobo Li, Guojie Liu
Journal of System Simulation
Abstract: Submarine operations have the characteristics of dynamic game confrontation in complex environments. Situation cognition and decision (SCD) behavior of combatants have an important impact on the effectiveness of submarine operations. Aiming at the SCD modeling in submarine engagement-level operational experiments, based on analyzing the SCD process, the representative variable set is refined, and a SCD modeling method for submarine operation based on the discrimination matrix is proposed. The submarine engagement-level confrontation is used as an example to study the SCD process in the given scenarios, and the feasibility and effectiveness of the method are verified. The established model …
Interpretable Rumor Detection In Microblogs By Attending To User Interactions,
2020
DSO National Laboratories
Interpretable Rumor Detection In Microblogs By Attending To User Interactions, Ling Min Serena Khoo, Hai Leong Chieu, Zhong Qian, Jing Jiang
Research Collection School Of Computing and Information Systems
We address rumor detection by learning to differentiate between the community’s response to real and fake claims in microblogs. Existing state-of-the-art models are based on tree models that model conversational trees. However, in social media, a user posting a reply might be replying to the entire thread rather than to a specific user. We propose a post-level attention model (PLAN) to model long distance interactions between tweets with the multi-head attention mechanism in a transformer network. We investigated variants of this model: (1) a structure aware self-attention model (StA-PLAN) that incorporates tree structure information in the transformer network, and (2) …
Neural Approximate Dynamic Programming For On-Demand Ride-Pooling,
2020
Singapore Management University
Neural Approximate Dynamic Programming For On-Demand Ride-Pooling, Sanket Shah, Meghna Lowalekar, Pradeep Varakantham
Research Collection School Of Computing and Information Systems
On-demand ride-pooling (e.g., UberPool, LyftLine, GrabShare) has recently become popular because of its ability to lower costs for passengers while simultaneously increasing revenue for drivers and aggregation companies (e.g., Uber). Unlike in Taxi on Demand (ToD) services – where a vehicle is assigned one passenger at a time – in on-demand ride-pooling, each vehicle must simultaneously serve multiple passengers with heterogeneous origin and destination pairs without violating any quality constraints. To ensure near real-time response, existing solutions to the real-time ride-pooling problem are myopic in that they optimise the objective (e.g., maximise the number of passengers served) for the current …
Multi-Level Head-Wise Match And Aggregation In Transformer For Textual Sequence Matching,
2020
Singapore Management University
Multi-Level Head-Wise Match And Aggregation In Transformer For Textual Sequence Matching, Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu
Research Collection School Of Computing and Information Systems
Transformer has been successfully applied to many natural language processing tasks. However, for textual sequence matching, simple matching between the representation of a pair of sequences might bring in unnecessary noise. In this paper, we propose a new approach to sequence pair matching with Transformer, by learning head-wise matching representations on multiple levels. Experiments show that our proposed approach can achieve new state-of-the-art performance on multiple tasks that rely only on pre-computed sequence-vectorrepresentation, such as SNLI, MNLI-match, MNLI-mismatch, QQP, and SQuAD-binary
Social Influence Does Matter: User Action Prediction For In-Feed Advertising.,
2020
Singapore Management University
Social Influence Does Matter: User Action Prediction For In-Feed Advertising., Hongyang Wang, Qingfei Meng, Ju Fan, Yuchen Li, Laizhong Cui, Xiaoman Zhao, Chong Peng, Gong Chen Chen, Xiaoyong Du
Research Collection School Of Computing and Information Systems
Social in-feed advertising delivers ads that seamlessly fit insidea user’s feed, and allows users to engage in social actions(likes or comments) with the ads. Many businesses payhigher attention to “engagement marketing” that maximizessocial actions, as social actions can effectively promote brandawareness. This paper studies social action prediction for infeedadvertising. Most existing works overlook the social influenceas a user’s action may be affected by her friends’actions. This paper introduces an end-to-end approach thatleverages social influence for action prediction, and focuseson addressing the high sparsity challenge for in-feed ads. Wepropose to learn influence structure that models who tendsto be influenced. We extract …
Research On The Strategy Of Adaptive Uvls Based On Rtds Simulation,
2020
1. XJ Electric Co., Ltd., Xuchang 461000, China;;
Research On The Strategy Of Adaptive Uvls Based On Rtds Simulation, Zhao Dan, Man Ji, Yunling Ni, Dengxin Liu, Weidong Wang
Journal of System Simulation
Abstract: Aiming at the improvement of the slow and unstable system voltage recovery after the low voltage load shedding load protected by centralized station area, the traditional low voltage load shedding load strategy will be researched. Considering the factors such as the power shortage and the important grade of the load, the power factor of the load to be cut is introduced, and the low load shedding model is established by minimizing the amount of cut load and minimizing the reactive power. The research is transformed into a belt Constrained multi-objective optimization research. The multi- objective particle swarm optimization algorithm …
Analysis And Optimization Of Combustion Characteristics Of Cement Kiln Cooperatively Disposing Domestic Refuse,
2020
School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China;
Analysis And Optimization Of Combustion Characteristics Of Cement Kiln Cooperatively Disposing Domestic Refuse, Jingbing Wu, Hanqing Tang, Xu Jun
Journal of System Simulation
Abstract: Because the traditional methods can hardly analyze the complex combustion characteristics of cement kiln mixed with domestic refuse, a data mining technology is introduced. A domestic cement plant is selected as the object, and its operating data and relevant parameters are collected. The influence coefficient of each parameter on coal consumption and NOx emission is analyzed by using Stability Selection algorithm. The mathematical model of coal consumption and NOx emission is established with Random Forest algorithm, and the key optimization parameters and their optimal values are obtained by K-means clustering algorithm. The result shows that this method …
An Enhanced Multi-Modal Function Optimization Fireworks Algorithm Base On Loser-Out Tournament,
2020
1. School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China;;2. Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing 210044, China;;3. Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing 210044, China;
An Enhanced Multi-Modal Function Optimization Fireworks Algorithm Base On Loser-Out Tournament, Xiaoning Shen, Wang Qian, Huang Yao, You Xuan
Journal of System Simulation
Abstract: An enhanced multi-modal fireworks algorithm based on the loser-out tournament is proposed. A new position-based mapping rule is used to map the explosion sparks beyond the upper boundary of the explosion space to the area near the upper boundary, and to map the one below the lower boundary to the area near the lower boundary. A strategy which adaptively adjusts the number of explosion sparks is introduced to better balance the global and local search abilities of the algorithm. The 28 functions in the CEC2013 standard test function set are selected to the test. Experimental results show that the …
A Xor-Based Visual Cryptography Scheme For (2, N) Access Structure With Ideal Structure Division,
2020
Information Engineering University, Zhengzhou 450000, China;
A Xor-Based Visual Cryptography Scheme For (2, N) Access Structure With Ideal Structure Division, Yuqiao Cheng, Zhengxin Fu, Bin Yu
Journal of System Simulation
Abstract: We propose a XOR-based visual cryptography scheme for (2, n) access structures. According to the definition of ideal access structure, the relationship of shares among the minimal qualified subsets is analyzed. And based on it, a division algorithm of access structures is presented with the theory of graph. By this approach, we can obtain the least number of ideal access structures. Additionally the processes of secret sharing and recovering are given. Experimental results show that this scheme can achieve a perfect secret recovery. Compared with existing schemes, the pixel expansion of our paper is the best.
