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Equilibrium reconstruction method for self-organized plasmas on reversed field pinches with polarimeter-interferometer
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作者 Yuhua HUANG Ke LIU +17 位作者 Wenzhe MAO Caoxiang ZHU Tao LAN Yiming ZU Yongkang ZHOU Xingkang WANG Peng DENG Li WANG Pai PENG Adi LIU Chu ZHOU Haifeng LIU Hong LI Jinlin XIE Yuhong XU Weixing DING Wandong LIU Ge ZHUANG 《Plasma Science and Technology》 SCIE EI CAS CSCD 2024年第12期31-40,共10页
In the reversed field pinch(RFP),plasmas exhibit various self-organized states.Among these,the three-dimensional(3D)helical state known as the“quasi-single-helical”(QSH)state enhances RFP confinement.However,accurat... In the reversed field pinch(RFP),plasmas exhibit various self-organized states.Among these,the three-dimensional(3D)helical state known as the“quasi-single-helical”(QSH)state enhances RFP confinement.However,accurately describing the equilibrium is challenging due to the presence of 3D structures,magnetic islands,and chaotic regions.It is difficult to obtain a balance between the available diagnostic and the real equilibrium structure.To address this issue,we introduce KTX3DFit,a new 3D equilibrium reconstruction code specifically designed for the Keda Torus eXperiment(KTX)RFP.KTX3DFit utilizes the stepped-pressure equilibrium code(SPEC)to compute 3D equilibria and uses polarimetric interferometer signals from experiments.KTX3DFit is able to reconstruct equilibria in various states,including axisymmetric,doubleaxis helical(DAx),and single-helical-axis(SHAx)states.Notably,this study marks the first integration of the SPEC code with internal magnetic field data for equilibrium reconstruction and could be used for other 3D configurations. 展开更多
关键词 equilibrium reconstruction polarimeter-interferometer multi-region relaxed MHD 3D self-organized states reversed field pinch
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Multi-UAV Collaborative Mission Planning Method for Self-Organized Sensor Data Acquisition
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作者 Shijie Yang Jiateng Yuan +3 位作者 Zhipeng Zhang Zhibo Chen Hanchao Zhang Xiaohui Cui 《Computers, Materials & Continua》 SCIE EI 2024年第10期1529-1563,共35页
In recent years,sensor technology has been widely used in the defense and control of sensitive areas in cities,or in various scenarios such as early warning of forest fires,monitoring of forest pests and diseases,and ... In recent years,sensor technology has been widely used in the defense and control of sensitive areas in cities,or in various scenarios such as early warning of forest fires,monitoring of forest pests and diseases,and protection of endangered animals.Deploying sensors to collect data and then utilizing unmanned aerial vehicle(UAV)to collect the data stored in the sensors has replaced traditional manual data collection as the dominant method.The current strategies for efficient data collection in above scenarios are still imperfect,and the low quality of the collected data and the excessive energy consumed by UAV flights are still the main problems faced in data collection.With regards this,this paper proposes a multi-UAV mission planning method for self-organized sensor data acquisition by comprehensively utilizing the techniques of self-organized sensor clustering,multi-UAV mission area allocation,and sub-area data acquisition scheme optimization.The improvedα-hop clustering method utilizes the average transmission distance to reduce the size of the collection sensors,and the K-Dimensional method is used to form a multi-UAV cooperative workspace,and then,the genetic algorithm is used to trade-off the speed with the age of information(AoI)of the collected information and the energy consumption to form the multi-UAV data collection operation scheme.The combined optimization scheme in paper improves the performance by 95.56%and 58.21%,respectively,compared to the traditional baseline model.In order to verify the excellent generalization and applicability of the proposed method in real scenarios,the simulation test is conducted by introducing the digital elevation model data of the real terrain,and the results show that the relative error values of the proposed method and the performance test of the actual flight of the UAV are within the error interval of±10%.Then,the advantages and disadvantages of the present method with the existing mainstream schemes are tested,and the results show that the present method has a huge advantage in terms of space and time complexity,and at the same time,the accuracy for data extraction is relatively improved by 10.46%and 12.71%.Finally,by eliminating the clustering process and the subtask assignment process,the AoI performance decreases by 3.46×and 4.45×,and the energy performance decreases by 3.52×and 4.47×.This paper presents a comprehensive and detailed proactive optimization of the existing challenges faced in the field of data acquisition by means of a series of combinatorial optimizations. 展开更多
关键词 Unmanned aerial vehicle sensor self-organization path planning multi-UAV task assignment
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Dimensionality Reduction Using Optimized Self-Organized Map Technique for Hyperspectral Image Classification
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作者 S.Srinivasan K.Rajakumar 《Computer Systems Science & Engineering》 SCIE EI 2023年第11期2481-2496,共16页
The high dimensionalhyperspectral image classification is a challenging task due to the spectral feature vectors.The high correlation between these features and the noises greatly affects the classification performanc... The high dimensionalhyperspectral image classification is a challenging task due to the spectral feature vectors.The high correlation between these features and the noises greatly affects the classification performances.To overcome this,dimensionality reduction techniques are widely used.Traditional image processing applications recently propose numerous deep learning models.However,in hyperspectral image classification,the features of deep learning models are less explored.Thus,for efficient hyperspectral image classification,a depth-wise convolutional neural network is presented in this research work.To handle the dimensionality issue in the classification process,an optimized self-organized map model is employed using a water strider optimization algorithm.The network parameters of the self-organized map are optimized by the water strider optimization which reduces the dimensionality issues and enhances the classification performances.Standard datasets such as Indian Pines and the University of Pavia(UP)are considered for experimental analysis.Existing dimensionality reduction methods like Enhanced Hybrid-Graph Discriminant Learning(EHGDL),local geometric structure Fisher analysis(LGSFA),Discriminant Hyper-Laplacian projection(DHLP),Group-based tensor model(GBTM),and Lower rank tensor approximation(LRTA)methods are compared with proposed optimized SOM model.Results confirm the superior performance of the proposed model of 98.22%accuracy for the Indian pines dataset and 98.21%accuracy for the University of Pavia dataset over the existing maximum likelihood classifier,and Support vector machine(SVM). 展开更多
关键词 Hyperspectral image dimensionality reduction depth-wise separable model water strider optimization self-organized map
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SELF-ORGANIZED SEMANTIC FEATURE EVOLUTION FOR AXIOMATIC DESIGN 被引量:5
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作者 HAO He FENG Yixiong TAN Jianrong XUE Yang 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2008年第2期108-113,共6页
Aiming at the problem existing in the computer aided design process that how to express the design intents with high-level engineering terminologies, a mechanical product self-organized semantic feature evolution tech... Aiming at the problem existing in the computer aided design process that how to express the design intents with high-level engineering terminologies, a mechanical product self-organized semantic feature evolution technology for axiomatic design is proposed, so that the constraint relations between mechanical parts could be expressed in a semantic form which is more suitable for designers. By describing the evolution rules for semantic constraint information, the abstract expression of design semantics in mechanical product evolution process is realized and the constraint relations between parts are mapped to the geometric level from the semantic level; With semantic feature relation graph, the abstract semantic description, the semantic relative structure and the semantic constraint information are linked together; And the methods of semantic feature self-organized evolution are classified. Finally, combining a design example of domestic high-speed elevator, how to apply the theory to practical product development is illustrated and this method and its validity is described and verified. According to the study results, the designers are able to represent the design intents at an advanced semantic level in a more intuitional and natural way and the automation, recursion and visualization for mechanical product axiomatic design are also realized. 展开更多
关键词 Axiomatic design Semantic feature Design intent self-organizeD
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Self-Organized Public-Key Management for Mobile Ad Hoc Networks Based on a Bidirectional Trust Model 被引量:5
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作者 FU Cai HONG Fan LI Rui-xian HONG Liang CHEN Jing 《Wuhan University Journal of Natural Sciences》 EI CAS 2006年第1期188-192,共5页
In traditional networks , the authentication is performed by certificate authoritys(CA),which can't be built in distributed mobile Ad Hoc Networks however. In this pa per, we propose a fully self-organized public k... In traditional networks , the authentication is performed by certificate authoritys(CA),which can't be built in distributed mobile Ad Hoc Networks however. In this pa per, we propose a fully self-organized public key management based on bidirectional trust model without any centralized authority that allows users to generate their public-private key pairs, to issue certificates, and the trust relation spreads rationally according to the truly human relations. In contrast with the traditional self-organized public-key management, the average certificates paths get more short, the authentication passing rate gets more high and the most important is that the bidirectional trust based model satisfys the trust re quirement of hosts better. 展开更多
关键词 Ad Hoc networks self-organize bidirectional trust public key management.
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A Fairness Resource Allocation Algorithm for Coverage and Capacity Optimization in Wireless Self-Organized Network 被引量:5
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作者 Pan Zhao Lei Feng +2 位作者 Peng Yu Wenjing Li Xuesong Qiu 《China Communications》 SCIE CSCD 2018年第11期10-24,共15页
To achieve the higher resource efficiency, Coverage and Capacity Optimization(CCO) as an important role of the network self-healing and self-optimization, has become a focus topic in wireless Self-Organized Network(SO... To achieve the higher resource efficiency, Coverage and Capacity Optimization(CCO) as an important role of the network self-healing and self-optimization, has become a focus topic in wireless Self-Organized Network(SON). In this paper, a novel CCO scheme is proposed to maximize utility function of the integrated coverage and capacity. It starts with the analysis on the throughput proportional fairness(PF) algorithm and then proposes the novel Coverage and Capacity Proportional Fairness(CCPF) allocation algorithm along with a proof of the algorithms convergence. This proposed algorithm is applied in a coverage capacity optimization scheme which can guarantee the reasonable network capacity by the coverage range accommodation. Next, we simulate the proposed CCO scheme based on telecom operators' real network data and compare with three typical resource allocation algorithms: round robin(RR), proportional fairness(PF) and max C/I. In comparison of the PF algorithm, the numerical results show that our algorithm increases the average throughput by 1.54 and 1.96 times with constructed theoretical data and derived real network data respectively. 展开更多
关键词 self-organized network coverageand capacity optimization resource allocationalgorithm user fairness.
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Self-Organized Optimization of Transport on Complex Networks 被引量:2
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作者 牛瑞吾 潘贵军 《Chinese Physics Letters》 SCIE CAS CSCD 2016年第6期153-156,共4页
We propose a self-organized optimization mechanism to improve the transport capacity of complex gradient networks. We find that, regardless of network topology, the congestion pressure can be strongly reduced by the s... We propose a self-organized optimization mechanism to improve the transport capacity of complex gradient networks. We find that, regardless of network topology, the congestion pressure can be strongly reduced by the self-organized optimization mechanism. Furthermore, the random scale-free topology is more efficient to reduce congestion compared with the random Poisson topology under the optimization mechanism. The reason is that the optimization mechanism introduces the correlations between the gradient field and the local topology of the substrate network. Due to the correlations, the cutoff degree of the gradient network is strongly reduced and the number of the nodes exerting their maximal transport capacity consumedly increases. Our work presents evidence supporting the idea that scale-free networks can efficiently improve their transport capacity by self- organized mechanism under gradient-driven transport mode. 展开更多
关键词 of work in that self-organized Optimization of Transport on Complex Networks is NODE on LINK
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Controllable fabrication of self-organized nano-multilayers in copper–carbon films 被引量:1
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作者 Wei-Qi Wang Li Ji +3 位作者 Hong-Xuan Li Xiao-Hong Liu Hui-Di Zhou Jian-Min Chen 《Chinese Physics B》 SCIE EI CAS CSCD 2019年第3期309-316,共8页
In order to clarify the influence of methane concentration and deposition time on self-organized nano-multilayers,three serial copper-carbon films have been prepared at various methane concentrations with different de... In order to clarify the influence of methane concentration and deposition time on self-organized nano-multilayers,three serial copper-carbon films have been prepared at various methane concentrations with different deposition times using a facile magnetron sputtering deposition system. The ratios of methane concentration(CH4/Ar+CH4) used in the experiments are 20%, 40%, and 60%, and the deposition times are 5 minutes, 20 minutes, and 40 minutes, respectively.Despite the difference in the growth conditions, self-organizing multilayered copper-carbon films are prepared at different deposition times by changing methane concentration. The film composition and microstructure are investigated by x-ray photoelectron spectroscopy(XPS), x-ray diffraction(XRD), field emission scanning electron microscopy(FESEM), and high-resolution transmission electron microscopy(HRTEM). By comparing the composition and microstructure of three serial films, the optimal growth conditions and compositions for self-organizing nano-multilayers in copper-carbon film are acquired. The results demonstrate that the self-organized nano-multilayered structure prefers to form in two conditions during the deposition process. One is that the methane should be curbed at low concentration for long deposition time,and the other condition is that the methane should be controlled at high concentration for short deposition time. In particular, nano-multilayered structure is self-organized in the copper-carbon film with copper concentration of 10-25 at.%.Furthermore, an interesting microstructure transition phenomenon is observed in copper-carbon films, that is, the nanomultilayered structure is gradually replaced by a nano-composite structure with deposition time and finally covered by amorphous carbon. 展开更多
关键词 nano-multilayers self-organizeD CONTROLLABLE FABRICATION copper–carbon FILMS
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Self-organized Criticality Model for Ocean Internal Waves 被引量:1
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作者 WANG Gang LIN Min +1 位作者 QIAO Fang-Li HOU Yi-Jun 《Communications in Theoretical Physics》 SCIE CAS CSCD 2009年第3期490-494,共5页
In this paper, we present a simple spring-block model for ocean internal waves based on the self-organized criticality (SOC). The oscillations of the water blocks in the model display power-law behavior with an expo... In this paper, we present a simple spring-block model for ocean internal waves based on the self-organized criticality (SOC). The oscillations of the water blocks in the model display power-law behavior with an exponent of -2 in the frequency domain, which is similar to the current and sea water temperature spectra in the actual ocean and the universal Garrett and Munk deep ocean internal wave model [Geophysical Fluid Dynamics 2 (1972) 225; J. Geophys. Res. 80 (1975) 291]. The influence of the ratio of the driving force to the spring coefficient to SOC behaviors in the model is also discussed. 展开更多
关键词 self-organized criticality power law internal waves power spectrum
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High-performance self-organized Si nanocomposite anode for lithium-ion batteries 被引量:1
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作者 Xiuyun Zhao Dingguo Xia +9 位作者 Lin Gu Juncheng Yue Biao Li Hang Wei Huijun Yan Ruqiang Zou Yingxia Wang Xiayan Wang Ze Zhang Jixue Li 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2014年第3期291-300,共10页
Silicon is being investigated extensively as an anodic material for next-generation lithium ion batteries for portable energy storage and electric vehicles.However,the large changes in volume during cycling lead to th... Silicon is being investigated extensively as an anodic material for next-generation lithium ion batteries for portable energy storage and electric vehicles.However,the large changes in volume during cycling lead to the breakdown of the conductive network in Si anodes and the formation of an unstable solid-electrolyte interface,resulting in capacity fading.Here,we demonstrate nanoparticles with a Si@Mn22.6Si5.4C4@C double-shell structure and the formation of self-organized Si-Mn-C nanocomposite anodes during the lithiation/delithiation process.The anode consists of amorphous Si particles less than 10 nm in diameter and separated by an interconnected conductive/buffer network,which exhibits excellent charge transfer kinetics and charge/discharge performances.A stable specific capacity of 1100 mAh·g-1 at 100 mA·g-1 and a coulombic efficiency of 99.2%after 30 cycles are achieved.Additionally,a rate capacity of 343 mAh·g-1 and a coulombic efficiency of 99.4%at 12000 mA·g-1 are also attainable.Owing to its simplicity and applicability,this strategy for improving electrode performance paves a way for the development of high-performance Si-based anodic materials for lithium ion batteries. 展开更多
关键词 cycling performance self-organizeD Si nanocomposite anode lithium ion batteries
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Self-Organized Criticality Analysis of Earthquake Model Based on Heterogeneous Networks 被引量:1
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作者 王林 张贵清 陈天仑 《Communications in Theoretical Physics》 SCIE CAS CSCD 2011年第1期89-94,共6页
The original Olami-Feder-Christensen (OFC) model, which displays a robust power-law behavior, is a quasistatic two-dimensional version of the Burridge-Knopoff spring-block model of earthquakes. In this paper, we int... The original Olami-Feder-Christensen (OFC) model, which displays a robust power-law behavior, is a quasistatic two-dimensional version of the Burridge-Knopoff spring-block model of earthquakes. In this paper, we introduce a modified OFC model based on heterogeneous network, improving the redistribution rule of the original model. It can be seen as a generalization of the originM OFC model We numerically investigate the influence of the parameters θandβ, which respectively control the intensity of the evolutive mechanism of the topological growth and the inner selection dynamics in our networks, and find that there are two distinct phases in the parameter space (θ,β). Meanwhile, we study the influence of the control parameter a either. Increasing a, the earthquake behavior of the model transfers from local to global. 展开更多
关键词 self-organized criticality NETWORK phase transition
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A Modified Earthquake Model of Self-Organized Criticality on Small World Networks 被引量:1
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作者 LINMin ZHAOXiao-Wei CHENTian-Lun 《Communications in Theoretical Physics》 SCIE CAS CSCD 2004年第4期557-560,共4页
A modified Olami Feder-Christensen model of self-organized criticality on a square lattice with the properties of small world networks has been studied.We find that our model displays power-law behavior and the expone... A modified Olami Feder-Christensen model of self-organized criticality on a square lattice with the properties of small world networks has been studied.We find that our model displays power-law behavior and the exponent τ of the model depends on φ,the density of long-range connections in our network. 展开更多
关键词 self-organized criticality AVALANCHE small world networks
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Always-optimally-coordinated candidate selection algorithm for peer-to-peer files sharing system in mobile self-organized networks 被引量:1
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作者 李曦 Ji Hong +1 位作者 Zheng Ruiming Li Ting 《High Technology Letters》 EI CAS 2009年第3期281-287,共7页
In order to improve the performance of peer-to-peer files sharing system under mobile distributed en- vironments, a novel always-optimally-coordinated (AOC) criterion and corresponding candidate selection algorithm ... In order to improve the performance of peer-to-peer files sharing system under mobile distributed en- vironments, a novel always-optimally-coordinated (AOC) criterion and corresponding candidate selection algorithm are proposed in this paper. Compared with the traditional min-hops criterion, the new approach introduces a fuzzy knowledge combination theory to investigate several important factors that influence files transfer success rate and efficiency. Whereas the min-hops based protocols only ask the nearest candidate peer for desired files, the selection algorithm based on AOC comprehensively considers users' preferences and network requirements with flexible balancing rules. Furthermore, its advantage also expresses in the independence of specified resource discovering protocols, allowing for scalability. The simulation results show that when using the AOC based peer selection algorithm, system performance is much better than the rain-hops scheme, with files successful transfer rate improved more than 50% and transfer time re- duced at least 20%. 展开更多
关键词 peer-to-peer files sharing system mobile self-organized network candidate selection fuzzy knowledge combination always-optimally-coordinated (AOC)
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Self-organized ordering of earthquakes(M≥8) in China's Mainland 被引量:10
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作者 Xu Daoyi Men Kepei Deng Zhihui 《Engineering Sciences》 2010年第4期13-17,共5页
The paper presented a new regular pattern (network structure ) of great earthquakes occurred in China's Mainland during the past 700 years, which may be helpful to improve the understanding of great earthquakes ... The paper presented a new regular pattern (network structure ) of great earthquakes occurred in China's Mainland during the past 700 years, which may be helpful to improve the understanding of great earthquakes and can serve as a base for the study of prediction of future great earthquakes. It can be done because there are quite complete and confident records of historical and recent earthquakes in a wide extent in China. 展开更多
关键词 China's Mainland great earthquake self-organized ordering network structure constrained generating procedures (CGP)
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Self-Organized Criticality Theory Model of Thermal Sandpile 被引量:1
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作者 彭晓东 曲洪鹏 +1 位作者 许健强 韩最蛟 《Chinese Physics Letters》 SCIE CAS CSCD 2015年第9期79-83,共5页
A self-organized criticality model of a thermal sandpile is formulated for the first time to simulate the dynamic process with interaction between avalanche events on the fast time scale and diffusive transports on th... A self-organized criticality model of a thermal sandpile is formulated for the first time to simulate the dynamic process with interaction between avalanche events on the fast time scale and diffusive transports on the slow time scale. The main characteristics of the model are that both particle and energy avalanches of sand grains are considered simultaneously. Properties of intermittent transport and improved confinement are analyzed in detail. The results imply that the intermittent phenomenon such as blobs in the low confinement mode as well as edge localized modes in the high confinement mode observed in tokamak experiments are not only determined by the edge plasma physics, but also affected by the core plasma dynamics. 展开更多
关键词 self-organized Criticality Theory Model of Thermal Sandpile
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Self-organized Critical Model Based on Complex Brain Networks with Hierarchical Organization
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作者 ZHANG Ying-Yue ZHANG Gui-Qing YANG Qiu-Ying CHEN Tian-Lun 《Communications in Theoretical Physics》 SCIE CAS CSCD 2008年第9期681-684,共4页
The dynamical behavior in the cortical brain network of macaque is studied by modelling each cortical areawith a subnetwork of interacting excitable neurons.We find that the avalanche of our model on different levels ... The dynamical behavior in the cortical brain network of macaque is studied by modelling each cortical areawith a subnetwork of interacting excitable neurons.We find that the avalanche of our model on different levels exhibitspower-law.Furthermore the power-law exponent of the distribution and the average avalanche size are affected by thetopology of the network. 展开更多
关键词 self-organized criticality hierarchical organization POWER-LAW cortical network refractory-period
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Self-Organized Algorithm in LTE Networks: A Utility Function Based Optimal Power Control Scheme
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作者 XU Haitao AN Jianwei 《China Communications》 SCIE CSCD 2014年第A02期95-101,共7页
In this paper, transmission power control problem for uplink LTE network is investigated and a new autonomic uplink power control scheme was proposed based on utility function, which is a self- organized algorithm. Th... In this paper, transmission power control problem for uplink LTE network is investigated and a new autonomic uplink power control scheme was proposed based on utility function, which is a self- organized algorithm. The whole approach is based on the economic concept named utility function. Then a self-organized algorithm is distributed in each mobile users to control the transmission power and to maximize the transmission utility. The proposed scheme is solved through the Lagrange multiplier technique. It is proved that the utility function based algorithm optimal power level can be model. is applicable and the achieved based on our 展开更多
关键词 self-organizeD power control utilityfunction LTE networks lagrange multiplier
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Effects of Vertex Activity and Self-organized Criticality Behavior on a Weighted Evolving Network
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作者 ZHANG Gui-Qing YANG Qiu-Ying CHEN Tian-Lun 《Communications in Theoretical Physics》 SCIE CAS CSCD 2008年第8期421-424,共4页
Effects of vertex activity have been analyzed on a weighted evolving network.The network is characterized by the probability distribution of vertex strength,each edge weight and evolution of the strength of vertices w... Effects of vertex activity have been analyzed on a weighted evolving network.The network is characterized by the probability distribution of vertex strength,each edge weight and evolution of the strength of vertices with different vertex activities.The model exhibits self-organized criticality behavior.The probability distribution of avalanche size for different network sizes is also shown.In addition,there is a power law relation between the size and the duration of an avalanche and the average of avalanche size has been studied for different vertex activities. 展开更多
关键词 weighted evolving network vertex activity POWER-LAW self-organized criticality
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Self-organized Criticality in an Integrate-and-Fire Neuron Model Based on Modified Aging Networks
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作者 LIN Min WANG Gang CHEN Tian-Lun 《Communications in Theoretical Physics》 SCIE CAS CSCD 2007年第4期759-764,共6页
Based on an integrate-and-fire mechanism, we investigate self-organized criticality of a simple neuron model on a modified BA scale-free network with aging nodes. In our model, we find that the distribution of avalanc... Based on an integrate-and-fire mechanism, we investigate self-organized criticality of a simple neuron model on a modified BA scale-free network with aging nodes. In our model, we find that the distribution of avalanche size follows power-law behavior. The critical exponent τ depends on the aging exponent α. The structures of the network with aging of nodes change with an increase of α. The different topological structures lead to different behaviors in models of integrate-and-fire neurons. 展开更多
关键词 self-organized criticality AVALANCHE AGING
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Self-organized Criticality in an Earthquake Model on Random Network
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作者 ZHANG Duan-Ming SUN Fan YU Bo-Ming PAN Gui-Jun SUN Hong-Zhang YIN Yah-Ping LI Rui SU Xiang-Ying 《Communications in Theoretical Physics》 SCIE CAS CSCD 2006年第2期293-296,共4页
A simplified Olami-Feder-Christensen model on a random network has been studied. We propose a new toppling rule -- when there is an unstable site toppling, the energy of the site is redistributed to its nearest neighb... A simplified Olami-Feder-Christensen model on a random network has been studied. We propose a new toppling rule -- when there is an unstable site toppling, the energy of the site is redistributed to its nearest neighbors randomly not averagely. The simulation results indicate that the model displays self-organized criticality when the system is conservative, and the avalanche size probability distribution of the system obeys finite size scaling. When the system is nonconservative, the model does not display scaling behavior. Simulation results of our model with different nearest neighbors q is also compared, which indicates that the spatial topology does not alter the critical behavior of the system. 展开更多
关键词 self-organized criticality earthquake model finite size scaling random network
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