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A Novel Collective User Web Behavior Simulation Method 认领 引用 被引量：2
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作者 Hongri Liu Xu Zhang +1 位作者 Jingjing Li Bailing Wang 《Computers, Materials & Continua》 SCIE EI 2021年第3期2539-2553,共15页
A collective user web behavior simulation is an import means for generating a large-scale user network behavior in a network testbed or cyber range.Existing studies almost focus on individual web behavior analysis and... A collective user web behavior simulation is an import means for generating a large-scale user network behavior in a network testbed or cyber range.Existing studies almost focus on individual web behavior analysis and prediction,which cannot simulate human dynamics that widely exist in large-scale users’behaviors.To address these issues,we propose a novel collective user web behavior simulation method,in which an algorithm for constructing a connected virtual social network is proposed,and then a collective user web behavior simulation algorithm is designed on the virtual social network.In the simulation method,a new epidemic information dissemination algorithm based on the SIR model is proposed to drive the user web behavior with Breadth—First Search algorithm on the connected virtual social network.We specially build an experiment environment with 12 servers by using Docker container technology and then perform a wide range of experiments with different user scales to evaluate the method.The experimental results demonstrate that not only the degrees of the social network but also the time intervals of the collective users’web behavior can be well fitted to a power-law distribution and show that our simulation method can well simulate a collective user web behavior. 展开更多
关键词 Web behavior simulation virtual social network human dynamics power-law distribution
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Behavior Simulation of High Level Radioactive waste Repository in Beishan Granite Site 认领 引用
2
作者 Weiming Chen Ju Wang Rui Su 《地学前缘》 CAS 北大核心 2009年第S1期187-187,共1页
This paper presents the behavior simulation of high level radioactive waste repository in Beishan granite site which is the most potential one in China.Based on the results from site characterization in Beishan granit... This paper presents the behavior simulation of high level radioactive waste repository in Beishan granite site which is the most potential one in China.Based on the results from site characterization in Beishan granite site,the conceptual model of repository in this site is proposed and its calculation model is developed with software GoldSim.After verification. 展开更多
关键词 behavior simulation high level radioactive waste repository Beishan
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Numerical Simulation of the Dynamic Behaviors of a Gas Tungsten Welding Arc for Joining Magnesium Alloy AZ61A 认领 引用 被引量：1
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作者 Zhenmin WANG Fang YAN Pengcheng ZHAO 《Acta Metallurgica Sinica(English Letters)》 SCIE EI CAS CSCD 2013年第5期588-596,共9页
Based on the Magneto-Hydro-Dynamic（MHD） theory, a united three-dimensional（3D） transient numerical model is developed to investigate the dynamic behaviors of arc plasma for a magnesium alloy AZ61A gas tungsten arc... Based on the Magneto-Hydro-Dynamic（MHD） theory, a united three-dimensional（3D） transient numerical model is developed to investigate the dynamic behaviors of arc plasma for a magnesium alloy AZ61A gas tungsten arc welding（GTAW） arc. The arc, electrode and workpiece are integrated into one calculation domain to avoid both presumed distribution of the current density at the electrode tip and the assumption of constant conditions of interface between welding arc and workpiece. The distributions of electric potential, current density, magnetic flux density, electromagnetic force, velocity, temperature, and pressure of the arc plasma in the 3D space are analyzed by using the numerical model. Results indicate that the maximum gradient of the electric potential in the whole arc space exists around the electrode tip, where the electric current density, electromagnetic force, and temperature are also the maximum. However, maximum pressure is found at the velocity stagnation, which is above the workpiece.Comparison between predicted temperature and measured one in arc region shows a good agreement. 展开更多
关键词 GTAW Arc MHD theory Dynamic behavior Numerical simulation
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Simulation of nonlinear behavior in an electron cyclotron resonance plasma 认领 引用
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作者 刘明海 胡希伟 +2 位作者 吴汉明 邬钦崇 俞国扬 《Plasma Science and Technology》 SCIE CAS 2000年第3期265-271,共7页
Some nonlinear behavior in electron cyclotron resonance plasma was investigated using a two-dimension hybrid-mode with self-consistent microwave absorption. The saturation,oscillations of plasma parameters (plasma den... Some nonlinear behavior in electron cyclotron resonance plasma was investigated using a two-dimension hybrid-mode with self-consistent microwave absorption. The saturation,oscillations of plasma parameters (plasma density, potential, electron temperature) versus operating conditions (pressure, power) are discussed. Our simulation results are consistent qualitatively with many experimental measurements. 展开更多
关键词 high Simulation of nonlinear behavior in an electron cyclotron resonance plasma
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Technology for Simulating Crowd Evacuation Behaviors 认领 引用 被引量：3
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作者 Wen-Hu Qin Guo-Hui Su Xiao-Na Li 《International Journal of Automation and computing》 2009年第4期351-355,共5页
This paper presents a model for simulating crowd evacuation and investigates three widely recognized problems.For the space continuity problem,this paper presents two computation algorithms:one uses grid space to eval... This paper presents a model for simulating crowd evacuation and investigates three widely recognized problems.For the space continuity problem,this paper presents two computation algorithms:one uses grid space to evaluate the coordinates of the obstacle's bounding box and the other employs the geometry rule to establish individual evacuation routes.For the problem of collision,avoidance,and excess among the individuals,this paper computes the generalized force and friction force and then modifies the direction of march to obtain a speed model based on the crowd density and real time speed.For the exit selection problem,this paper establishes a method of selecting the exits by combining the exit's crowd state with the individuals.Finally,a particle system is used to simulate the behavior of crowd evacuation and produces useful test results. 展开更多
关键词 Crowd evacuation behavior simulation particle system social force model
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Grid-based internet worm behavior simulator 认领 引用
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作者 刘扬 王佰玲 +3 位作者 董开坤 苑新玲 张慈 饶明 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2011年第3期41-47,共7页
The traditional network simulator has function and performance limitation when simulating Internet worms,so we designed the grid-based Internet worm behavior simulator (IWBS Grid).IWBS Grid makes use of the real Inter... The traditional network simulator has function and performance limitation when simulating Internet worms,so we designed the grid-based Internet worm behavior simulator (IWBS Grid).IWBS Grid makes use of the real Internet topology,link and routing information,and simulates the worm behavior at the packet event-driven level;and proposes a high-performance Internet worms behavior simulation platform by right of the grid computing capability,resource and task management,and so on.The experimental results show that IWBS grid surpasses the traditional simulator in simulating capability,and the technology to track the worm propagation in packet level can propose the valuable information for the further study on worms. 展开更多
关键词 grid worm behavior simulation distributed and parallel network simulator
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Numerical simulation and experimental verification of bubble size distribution in an air dense medium fluidized bed 认领 引用 被引量：12
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作者 He Jingfeng Zhao Yuemin +2 位作者 Luo Zhenfu He Yaqun Duan Chenlong 《International Journal of Mining Science and Technology》 EI CAS 2013年第3期387-393,共7页
Bubble size distribution is the basic apparent performance and obvious characteristics in the air dense medium fluidized bed (ADMFB). The approaches of numerical simulation and experimental verification were combined ... Bubble size distribution is the basic apparent performance and obvious characteristics in the air dense medium fluidized bed (ADMFB). The approaches of numerical simulation and experimental verification were combined to conduct the further research on the bubble generation and movement behavior. The results show that ADMFB could display favorable expanded characteristics after steady fluidization. With different particle size distributions of magnetite powder as medium solids, we selected an appropriate prediction model for the mean bubble diameter in ADMFB. The comparison results indicate that the mean bubble diameters along the bed heights are 35 mm < D b < 66 mm and 40 mm < D b < 69 mm with the magnetite powder of 0.3 mm+0.15mm and 0.15mm+0.074mm, respectively. The prediction model provides good agreements with the experimental and simulation data. Based on the optimal operating gas velocity distribution, the mixture of magnetite powder and <1mm fine coal as medium solids were utilized to carry out the separation experiment on 6-50mm raw coal. The results show that an optimal separation density d P of 1.73g/cm 3 with a probable error E of 0.07g/cm 3 and a recovery efficiency of 99.97% is achieved, which indicates good separation performance by applying ADMFB. 展开更多
关键词 Air dense medium fluidized bed Numerical simulation Bubble dynamical behavior Prediction model
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Review of state-of-the-art decision support systems (DSSs) for prevention and suppression of forest fires 认领 引用 被引量：3
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作者 Stavros Sakellariou Stergios Tampekis +2 位作者 Fani Samara Athanassios Sfougaris Olga Christopoulou 《Journal of Forestry Research》 SCIE CAS CSCD 2017年第6期1107-1117,共11页
Forest ecosystems are our priceless natural resource and are a key component of the global carbon budget. Forest fires can be a hazard to the viability and sustainable management of forests with consequences for natur... Forest ecosystems are our priceless natural resource and are a key component of the global carbon budget. Forest fires can be a hazard to the viability and sustainable management of forests with consequences for natural and cultural environments, economies, and the life quality of local and regional populations. Thus, the selection of strategies to manage forest fires, while considering both functional and economic efficiency, is of primary importance. The use of decision support systems(DSSs) by managers of forest fires has rapidly increased. This has strengthened capacity to prevent and suppress forest fires while protecting human lives and property. DSSs are a tool that can benefit incident management and decision making and policy, especially for emergencies such as natural disasters. In this study we reviewed state-of-the-art DSSs that use: database management systems and mathematical/economic algorithms for spatial optimization of firefighting forces; forest fire simulators and satellite technology for immediate detection and prediction of evolution of forest fires; GIS platforms that incorporate several tools to manipulate, process and analyze geographic data and develop strategic and operational plans. 展开更多
关键词 Decision support systems Fire behavior simulation Forest fires Geographic information system Mathematical algorithms Risk management
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Energy consumption simulations of rural residential buildings considering differences in energy use behavior among family members 认领 引用 被引量：1
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作者 Xi Luo Lina Du 《Building Simulation》 SCIE EI CSCD 2024年第8期1335-1358,共24页
The“average occupant”methodology is widely used in energy consumption simulations of residential buildings;however,it fails to consider the differences in energy use behavior among family members.Based on a field su... The“average occupant”methodology is widely used in energy consumption simulations of residential buildings;however,it fails to consider the differences in energy use behavior among family members.Based on a field survey on the Central Shaanxi Plain,to identify the energy use behavior patterns of typical families,a stochastic energy use behavior model considering differences in energy use behavior among family members was proposed,to improve the accuracy of energy consumption simulations of residential buildings.The results indicated that the surveyed rural families could be classified into the following four types depending on specific energy use behavior patterns:families of one elderly couple,families of one middle-aged couple,families of one elderly couple and one child,and families of one couple and one child.Moreover,on typical summer days,the results of daily building energy consumption simulation obtained by the“average occupant”methodology were 25.39%and 28%lower than the simulation results obtained by the model proposed in this study for families of one elderly couple and families of one middle-aged couple,and 13.05%and 23.05%higher for families of one elderly couple and one child,and families of one couple and one child.On typical winter days,for the four types of families,the results of daily building energy consumption simulation obtained by the“average occupant”methodology were 21.69%,10.84%,1.21%,and 8.39%lower than the simulation results obtained by the model proposed in this study,respectively. 展开更多
关键词 typical energy use behavior pattern differences in occupant behavior building energy consumption simulation stochastic energy use behavior simulation
Simulation and visualization of spraying droplets behavior and deposition within virtual rice canopy 认领 引用 被引量：1
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作者 Weilong Ding Fenglong Zhu +2 位作者 Mengjie Jin Lifeng Xu Yuping Zhang 《International Journal of Agricultural and Biological Engineering》 SCIE 2022年第5期19-27,共9页
Models for accurately simulating pesticide droplet deposition and transmission mechanism in rice canopies can provide an effective and economic tool to optimize methods for spraying pesticides,adjuvant formulation,and... Models for accurately simulating pesticide droplet deposition and transmission mechanism in rice canopies can provide an effective and economic tool to optimize methods for spraying pesticides,adjuvant formulation,and spray parameters.However,the current studies on the modeling of spray droplet deposition within rice plants are still very limited.Aiming at this problem,a method to model and visualize spray transmission and deposition within the canopy of rice plants was proposed.Firstly,a particle system was used to simulate the spraying scene of droplets.Then an improved method to determine the behavior of rebound and shatter of the droplets in the virtual scene was proposed.The deposition of spraying droplets on a leaf was calculated according to the inclination angles of the leaf,the characteristics of the leaf surface,and the physical and spatial characteristics of the droplets.The experiment shows that the method can simulate the behavior of the spraying droplets within a virtual scene of a rice plant,which may provide a reference for the study of spray deposition in the canopy of the crop. 展开更多
关键词 virtual rice plant droplet deposition behavior simulation spray scene
Target allocation for multiple UAVs via swarm intelligence simulation and DDPG reinforcement learning 认领 引用
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作者 Keyan He Leigang Sun +4 位作者 Huajie Hong Nan Wang Xiaojia Xiang Zhengkai Lu Lianming Cai 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2025年第4期165-192,共28页
Task allocation for Unmanned Aerial Vehicle(UAV)swarms is a complex challenge.Effective distribution of tasks among multiple UAVs necessitates the optimization of conflicting objectives,such as task balance,flight dis... Task allocation for Unmanned Aerial Vehicle(UAV)swarms is a complex challenge.Effective distribution of tasks among multiple UAVs necessitates the optimization of conflicting objectives,such as task balance,flight distance,cost,and target benefits.This multi-objective optimization problem is inherently intricate due to strong interdependencies,nonlinear relationships,and dynamic environments.Traditional methods,including heuristic algorithms,supervised machine learning,and basic reinforcement learning mechanisms,often suffer from low efficiency and strict requirements for data sources or supervision mechanisms.They also struggle to adapt to problems with large discrete action spaces.To address this challenge,this paper proposes a novel approach that integrates swarm intelligence simulation with reinforcement learning.The core of this approach is a reinforcement learning algorithm based on the Deep Deterministic Policy Gradient(DDPG)framework.A key innovation is a customized DDPG variant specifically designed to handle the large,discrete action spaces inherent in UAV task allocation.Additionally,a behavior tree model is employed to simulate UAV swarm interactions,providing a realistic and verifiable environment for evaluating task allocation strategies.This simulation generates a rich dataset for training and testing reinforcement learning algorithms.The combined approach efficiently addresses the multi-objective optimization problem,enabling optimal task distribution for numerous UAVs.Compared to existing heuristic methods,the proposed approach demonstrates superior computational efficiency and solution quality,while maintaining reasonable convergence stability and environmental adaptability.Simulation-based validation ensures the approach’s robustness in dynamic environments,a critical factor for practical applications.Overall,the integration of simulation and reinforcement learning provides a powerful framework for tackling the complex task allocation problem in UAV swarms. 展开更多
关键词 Unmanned aerial vehicles task allocation strategy deep deterministic policy gradient reinforcement learning simulation of swarm intelligence behaviors
BestMan:a modular mobile manipulator platform for embodied AI with unified simulation-hardware APIs 认领 引用
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作者 Kui YANG Nieqing CAO +3 位作者 Beichen SHAO Xingchen WANG Yan DING Chao CHEN 《Frontiers of Computer Science》 SCIE EI CSCD 2025年第9期149-151,共3页
1Introduction Embodied Artificial Intelligence(Embodied AI)has recently become a key research focus[1].It emphasizes agents'abilities to perceive,comprehend,and act in physical worlds to complete tasks.Simulation ... 1Introduction Embodied Artificial Intelligence(Embodied AI)has recently become a key research focus[1].It emphasizes agents'abilities to perceive,comprehend,and act in physical worlds to complete tasks.Simulation platforms are essential in this area,as they simulate agent behaviors in set environments and tasks,thereby accelerating algorithm validation and optimization.However,constructing such a platform presents several challenges. 展开更多
关键词 unified simulation hardware APIs simulate agent behaviors embodied artificial intelligence embodied artificial intelligence embodied ai modular mobile manipulator platform simulation platforms
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Integrated framework for space-and energy-efficient retrofitting in multifunctional buildings:A synergy of agent-based modeling and performance-based modeling 认领 引用 被引量：2
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作者 Yuchi Shen Xinyi Hu +3 位作者 Xiaotong Wang Mengting Zhang Lirui Deng Wei Wang 《Building Simulation》 SCIE EI CSCD 2024年第9期1579-1600,共22页
This research investigates retrofitting strategies for multifunctional spaces within educational buildings,employing agent-based and performance-based modeling to support decision-making.An experimental matrix was dev... This research investigates retrofitting strategies for multifunctional spaces within educational buildings,employing agent-based and performance-based modeling to support decision-making.An experimental matrix was developed,reflecting three usage scenarios(reading,exhibition,lecture)across four retrofitting schemes.An agent-based model was developed to delineate intricate human behaviors in space and examined the self-organizing behaviors of 30 agents for each scheme in every scenario,evaluating six metrics on spatial efficiency and visual experience.Calibrated models,derived from real data and processed through DesignBuilder software,evaluated three metrics:energy use,thermal comfort,and visual comfort.The research then incorporated metrics from the agent-based model and performance simulation to develop a method for discussing the decision-making process in retrofit strategies.The findings indicate that the optimal retrofitting solution for multifunctional spaces is heavily influenced by the distribution of usage scenarios.Given the substantial influence of space metrics on selecting the optimal retrofit scheme,the proposed framework effectively facilitates decision-making for building retrofits by providing a holistic evaluation of both spatial and energy criteria. 展开更多
关键词 building retrofit agent-based model human behavior simulation measurement of space performance simulation
Hand Interface in Traditional Modeling and Animation Tasks 认领 引用
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作者 孙汉秋 《Journal of Computer Science & Technology》 SCIE EI 1996年第3期286-295,共10页
3-D task space in modeling and animation is usually reduced to the separate control dimensions supported by conventional interactive devices. This limitation maps only patial view of the problem to the device space at... 3-D task space in modeling and animation is usually reduced to the separate control dimensions supported by conventional interactive devices. This limitation maps only patial view of the problem to the device space at a time, and results in tedious and un natural interface of control. This paper uses the DataGlove interface for modeling and animating scene behaviors. The modeling interface selects, scales, rotates, translates,copies and deletes the instances of the prindtives. These basic modeling processes are directly performed in the task spacet using hand shapes and motions. Hand shapes are recoginzed as discrete states that trigger the commands, and hand motion are mapped to the movement of a selected instance. The interactions through hand interface place the user as a participant in the process of behavior simulation. Both event triggering and role switching of hand are experimented in simulation. The event mode of hand triggers control signals or commands through a menu interface. The object mode of hand simulates itself as an object whose appearance or motion inlluences the motions of other objects in scene. The involvement of hand creates a diversity of dyndric situations for testing variable scene behaviors. Our experiments have shown the potential use of this interface directly in the 3-D modeling and animation task space. 展开更多
关键词 Interactive graphics,scene modeling behavior simulation DataGlove,virtual reality
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Excessive consumption mechanism of hydrazine in the reaction with ReO4-:Re species evolution and ReO2·nH2O-catalyzed decomposition 认领 引用
15
作者 Jinyang Kang Guikai Zhang +6 位作者 Bo Chen Lang Chen Rulei Wu Xiaoyuan Zhou Jiahui Hang Chengbin Zheng Chuanqin Xia 《Inorganic Chemistry Frontiers》 SCIE EI 2022年第14期3532-3541,共10页
The reaction between pertechnetate (99TcO4-) and hydrazine is considered to be that of a complex inorganic chain in the PUREX process,in which hydrazine is excessively consumed with a high stoichiometric rati... The reaction between pertechnetate (99TcO4-) and hydrazine is considered to be that of a complex inorganic chain in the PUREX process,in which hydrazine is excessively consumed with a high stoichiometric ratio of [N2H4]/[Tc]. Due to the ambiguity of the low-valent Tc species in the catalytic process,the consumption mechanism remains to be further optimized. In this study,perrhenate (ReO4-) was used to simulate the redox behavior of TcO4- with hydrazine,and the consumption mechanism of hydrazine was examined. In batch experiments where different initial concentrations of ReO4- and hydrazine were used,the kinetic profile of hydrazine consisted of an induction period,a rapid reaction stage,and a termination stage. There was only a slight decrease in the hydrazine concentration during the induction period,and the length of the induction period was strongly dependent on the initial concentrations of hydrazine and ReO4-. Then,the hydrazine concentration significantly decreased during the rapid reaction stage,and was completely consumed after the termination stage. Because excess hydrazine was over-consumed,the Re species in the reaction were investigated to study the hydrazine consumption mechanism. ReO4- was slowly reduced to ReO42- and Re(IV) species during an induction period,with an absorption peak of 269 nm and 301 nm,respectively,and X-ray absorption fine structures (XAFS) also supported evidence of ReO42- and soluble Re(IV) species. Most Re(IV) species were hydrolyzed to ReO2·nH2O during the rapid reaction stage. Further experiments suggest that ReO2/ReO2·nH2O would catalyze the decomposition of hydrazine at room temperature,and lead to the excessive consumption of hydrazine in the reaction. Gas chromatography confirmed that hydrazine mainly decomposed into N2 and NH3. 展开更多
关键词 catalytic processthe reo simulate redox behavior re species purex processin hydrazine consumption complex inorganic chain reo nh o
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