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Science China(Physics,Mechanics & Astronomy) 2015年第6期58卷 103-108页

作者： AN WeiKe DING DaWei CAI AnHui ZHOU GuoJun LUO Yun LI JiangHong PENG YongYi College of Mechanical Engineering Hunan Institute of Science and Technology Institute of Physics Chinese Academy of Sciences State Key Laboratory of Powder Metallurgy Central South University School of Physics and Electronics Central South University

Mechanism,condition and characteristics for the formation of the network structure in a group of Zr-Al-Ni-Cu bulk metallic glasses(BMGs) were *** results show that the constituent segregation and/or the symplastic growth would be the mechanisms for the formation of the cell structure in the present Zr-Al-Ni-Cu *** cell structure can be easily obtained for the glass forming alloys whose compositions locate nearby the eutectic *** shorter the distance is from the eutectic point,the larger the cell and the thicker the cell wall of the network structure will *** present investigation would provide useful information for the development of the BMG with the network structure.

关键词： Zr-Al-Ni-Cu bulk metallic glass network structure mechanism characteristics

network structure, portfolio diversification and systemic risk

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Journal of Management Science and Engineering 2021年第2期6卷 235-245页

作者： Shouwei Li Chao Wang School of Economics and Management Southeast UniversityNanjing211189China College of Finance Nanjing Agricultural UniversityNanjing210095China

We investigate the effect of portfolio diversification on banking systemic risk,where the network effect is *** analyze three kinds of interbank networks,namely,random networks,small-world networks and scale-free *** show that the effect of portfolio diversification on banking systemic risk depends on interbank network structures and shock ***,systemic risk increases first and then reduces with the increase of the level of portfolio diversification in the case of the individual ***,in the case of the systemic shock,systemic risk reduces with the increases of the level of portfolio ***,banking systems with scale-free network structures are the most stable,and those with small-world network structures are the most vulnerable.

关键词： Portfolio diversification network structure System risk Banking system

Effects of Correlation between network structure and Dynamics of Oscillators on Synchronization Transition in a Kuramoto Model on Scale-Free networks

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Communications in Theoretical Physics 2014年第2期61卷 197-202页

作者：于丹杨俊忠 School of Science Beijing University of Posts and Telecommunications

A recent study has found an explosive synchronization in a Kurammoto model on scale-free networks when the natural frequencies of oscillators are equal to their degrees. In this work, we introduce a quantity to characterize the correlation between the structural and the dynamical properties and investigate the impacts of the correlation on the synchronization transition in the Kuramoto model on scale-free networks. We find that the synchronization transition may be either a continuous one or a discontinuous one depending on the correlation and that strong correlation always postpones both the transitions from the incoherent state to a synchronous one and the transition from a synchronous state to the incoherent one. We find that the dependence of the synchronization transition on the correlation is also valid for other types of distributions of natural frequency.

关键词： Kuramoto model network structure synchronization transition

network structure and its effects on the strength of Fe-C-Si-Mn alloy castings

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Journal of Chongqing University 2004年第2期3卷 12-15页

作者：张丁非 College of Materials Science and Engineering Chongqing University Chongqing 400030 P.R. China

Fe-C-Si-Mn alloy castings used as blades in hydroelectric generators are studied and found to contain network structures after some heat treatments. Castings after annealing and normalizing were analyzed by microscope and transmission electron microscopy (TEM). The network formed during annealing was proved by TEM to be pearlite with very fine slices, while that formed during normalizing was proved by TEM and micro-hardness to be martensite or bainite. A theoretical analysis together with experimental studies has proved that the pearlite network is caused by carbon content increase in the interdendritic regions to which carbon atoms transfered from dendritic arms due to lower manganese content there during annealing, while the martensite or bainite network results from the higher hardenability of interdendritic regions where manganese content is higher. Experiments reveal that higher heating temperature or longer heating time enlarges the network size due to manganese homogenization. The network structure has a strengthening function like reinforcing rib, and the smaller the network size, the greater its strengthening capability.

关键词： network structure Fe-C-Si-Mn alloys strengthening

A Tree-Based Data Collecting network structure for Wireless Sensor networks

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Journal of Electronic Science and Technology of China 2008年第3期6卷 274-278页

作者： Chi-Tsun Cheng Chi K. Tse Francis C. M. Lau the Department of Electronic and Information Engineering The Hong Kong Polytechnic University Kowloon Hong Kong

In a sensor network with a large number of densely populated sensor nodes, a single target of interest may be detected by multiple sensor nodes simultaneously. Data collected from the sensor nodes are usually highly correlated, and hence energy saving using in-network data fusion becomes possible. A traditional data fusion scheme starts with dividing the network into clusters, followed by electing a sensor node as cluster head in each cluster. A cluster head is responsible for collecting data from all its cluster members, performing data fusion on these data and transmitting the fused data to the base station. Assuming that a sensor node is only capable of handling a single node-to-node transmission at a time and each transmission takes T time-slots, a cluster head with n cluster members will take at least nT time-slots to collect data from all its cluster members. In this paper, a tree-based network structure and its formation algorithms are proposed. Simulation results show that the proposed network structure can greatly reduce the delay in data collection.

关键词： Cluster data transmission network structure sensor network trees

Modeling micro-blog network structure based on combination of online communities

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Modeling micro-blog network structure based on combination o...

Effect of network structure to the convergence rate of agents in multi-agent systems

第25届中国控制与决策会议

作者： Nan Zhang Yueting Chai Yi Liu Hongbo Sun Department of Automation Tsinghua University DNSLAB China Internet Network Information Center

ISBN: (纸本)9781467355339

Micro-blog network can spread information faster and more widely than ever in a new emerged style and the spread mechanism of micro-blog network is of great importance to guide public opinion. At the same time, the structure of micro-blog network is one of the basic issues of the spread mechanism research of micro-blog network. This paper discusses how to model and simulate micro-blog’s structure by core-periphery model, proposes a novel clustering coefficient communities combination model with the assumption that there are merely two types of users in micro-blog: opinion leaders and common members. One opinion leader and related common members form a micro-blog unit. These units with their key connections can be deemed as a micro-blog network model named as LM （Leader-Members） model. This paper also gives an improved LM model that involved user behavior and direction of connections. According to the experimental data, this model depicts well about the small world and scale-free properties of micro-blog network.

关键词： Micro-blog network structure small-world LM(Leader-Members) Model

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Effect of network structure to the convergence rate of agent...

Study on Cognitive Optical network structure and Self-optimization with the Application of Artificial Intelligence Technology

第36届中国控制会议

作者： Shasha Feng Li Wang Shiwen Sun Chengyi Xia Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology

ISBN: (纸本)9781538629185

In this paper, we probe into the influence of network structure on the convergence rate of agents in multi-agent systems, especially for the position and number of nodes of network on it. We discover some results of which kinds of networks are conductive to the faster convergence rate of agents in multi-agent systems. Firstly, if there is no ring in different networks where the number of nodes are same, then the network with fork nodes which are connected to the central position node is in favor of the faster convergence of agents;otherwise, the convergence rate of agents is quicker in the network without fork ***, it is inevitable for agents to converge more ane more slowly with the increasing of node number. One way to improve the convergence rate of agents is to enable the increased nodes to connect to the central position node. Finally, when both the position and the number of nodes of different networks are same, it can save communication cost to remove some edges in network under the condition that the convergence rate of agents is affected little. Therefore, we reveal that if the edges which do not connect to the central position directly are removed, then their impact on the convergence rate is little.

关键词： network structure convergence rate nodes number node position

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Modern Electronic Technology 2020年第1期4卷 1-5页

作者： Shengzhe Liang Rutgers The State University of New JerseyNew BrunswickUS

Cognitive optical network is the intermediate to combine artificial intelligence technology with network,and also the important network technology to promote network intelligence level *** the paper,it analyzes the cognitive optical network structure with the application of artificial intelligence technology by starting from the basic conditions of cognitive network and cognitive optional network on the basis of fully understanding the connotation of cognitive network and cognitive optical network,and explores its self-governance functions,so as to better realize the self-optimization and self-configuration of network.

关键词： Artificial intelligence technology Cognitive optical network network structure Self-optimization

Influence of Al_(2)O_(3)/SiO_(2) Ratio on the structure and Properties of Na^(+)/K^(+)Ion Exchange Na_(2)O-MgO-Al_(2)O_(3)-SiO_(2) Glasses

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Journal of Wuhan University of Technology(Materials Science) 2024年第3期39卷 606-612页

作者：吴建磊 CHEN Junzhu TIAN Xiaokun LI Jiahao GAO Wenkai YUE Yunlong 康俊峰 School of Materials Science and Engineering University of JinanJinan 250022China CDGM GLASS Co.LTD Chengda 610199China

In this work,the structure,viscosity and ion-exchange process of Na_(2)O-MgO-Al_(2)O_(3)-SiO_(2) glasses with different Al_(2)O_(3)/SiO_(2) molar ratios were *** results showed that,with increasing Al_(2)O_(3)/SiO_(2) ratio,the simple structural units Q_(1) and Q_(2) transformed into highly aggregated structural units Q_(3) and Q_(4),indicating the increase of polymerization degree of glass ***,the coefficient of thermal expansion decreased from 9.23×10^(-6)℃^(-1) to 8.88×10^(-6)℃^(-1).The characteristic temperatures such as melting,forming,softening and glass transition temperatures increased with the increase of Al_(2)O_(3)/SiO_(2) ratio,while the glasses working temperature range became *** increasing Al_(2)O_(3)/SiO_(2) ratio and prolonging ion-exchange time enhanced the surface compressive stress(CS)and depth of stress layer(DOL).However,the increase of ion exchange temperature increased the DOL and decreased the CS affected by stress *** was a good linear relationship between stress relaxation and surface compressive *** strengthening significantly improved the hardness of glasses,which reached the maximum value of(622.1±10)MPa for sample with Al_(2)O_(3)/SiO_(2) ratio of 0.27 after heat treated at 410℃for 2 h.

关键词： network structure viscosity ion exchange aluminosilicate glass

Effect of Fe_(2)O_(3)on the structure,Physical Properties and Crystallization of CaO-Al_(2)O_(3)-SiO_(2)Glass

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Journal of Wuhan University of Technology(Materials Science) 2024年第4期39卷 954-961页

作者：张峰 XIONG Dehua 谢俊张继红 HAN Jianjun CHEN Dequan WEN Zhongquan FAN Zhenhua CHEN Lina SUN Tengfei State Key Laboratory of Silicate Materials for Architectures Wuhan University of TechnologyWuhan 430070China Hepu Research Center for Silicate Materials Industry Technology Beihai 536100China Hainan Institute of Wuhan University of Technology Sanya 430079China Shenzhen Research Institute of Wuhan University of Technology Shenzhen 518000China Chongqing Polycomp Inter-national Corporation Chongqing 400400China

The calcium aluminosilicate-based glasses(CaO-Al_(2)O_(3)-SiO_(2),CAS)with different Fe_(2)O_(3)content(0.10wt%,0.50wt%,0.90wt%,and 1.30wt%)were prepared by traditional melt-quenching *** glass network structure,thermal and mechanical properties,and crystallization behavior changes were investigated by nuclear magnetic resonance spectrometer,Fourier-transform infrared spectro-photometer,X-ray diffractometer,differential scanning calorimetry and field emission scanning electron microscope *** change of Q^(n)in glass structures reveals the glass network connectivity decreases due to the increasing content of Fe_(2)O_(3)addition,resulting in the increasing of non-bridging number in glass *** glass densities slightly rise from 2.644 to 2.681 g/cm^(3),while Vickers’s hardness increases at first,from 6.469 to 6.901 GPa,then slightly drops to 6.745 GPa,with Fe_(2)O_(3)content *** is almost no thermal expansion coefficient change from different Fe_(2)O_(3)*** glass transmittance in visible range gradually decreases with higher Fe_(2)O_(3)content,resulting from the strong absorption of Fe^(2+)and Fe^(3+)*** calculated activation energy from thermal analysis results first decreases from 282.70 to 231.18 kJ/mol,and then increases to 244.02 kJ/mol,with the Fe_(2)O_(3)content increasing from 0.10wt%to 1.30wt%.Meanwhile,the maximum Avrami constant of 2.33 means the CAS glasses exhibit two-dimensional *** of the CAS glass-ceramics samples contain main crystal phase of anorthite,the microstructure appears lamellar and columnar crystals.

关键词： calcium aluminosilicate glass network structure physical properties crystallization