In order to reduce power consumption of sensor nodes and extend network survival time in the wireless sensor network （WSN）, sensor nodes are scheduled in an active or dormant mode. A chain-type WSN is fundamental y ...In order to reduce power consumption of sensor nodes and extend network survival time in the wireless sensor network （WSN）, sensor nodes are scheduled in an active or dormant mode. A chain-type WSN is fundamental y different from other types of WSNs, in which the sensor nodes are deployed along elongated geographic areas and form a chain-type network topo-logy structure. This paper investigates the node scheduling prob-lem in the chain-type WSN. Firstly, a node dormant scheduling mode is analyzed theoretical y from geographic coverage, and then three neighboring nodes scheduling criteria are proposed. Sec-ondly, a hybrid coverage scheduling algorithm and dead areas are presented. Final y, node scheduling in mine tunnel WSN with uniform deployment （UD）, non-uniform deployment （NUD） and op-timal distribution point spacing （ODS） is simulated. The results show that the node scheduling with UD and NUD, especial y NUD, can effectively extend the network survival time. Therefore, a strat-egy of adding a few mobile nodes which activate the network in dead areas is proposed, which can further extend the network survival time by balancing the energy consumption of nodes.展开更多
Multiple complex networks, each with different properties and mutually fused, have the problems that the evolving process is time varying and non-equilibrium, network structures are layered and interlacing, and evolvi...Multiple complex networks, each with different properties and mutually fused, have the problems that the evolving process is time varying and non-equilibrium, network structures are layered and interlacing, and evolving characteristics are difficult to be measured. On that account, a dynamic evolving model of complex network with fusion nodes and overlap edges（CNFNOEs） is proposed. Firstly, we define some related concepts of CNFNOEs, and analyze the conversion process of fusion relationship and hierarchy relationship. According to the property difference of various nodes and edges, fusion nodes and overlap edges are subsequently split, and then the CNFNOEs is transformed to interlacing layered complex networks（ILCN）. Secondly,the node degree saturation and attraction factors are defined. On that basis, the evolution algorithm and the local world evolution model for ILCN are put forward. Moreover, four typical situations of nodes evolution are discussed, and the degree distribution law during evolution is analyzed by means of the mean field method.Numerical simulation results show that nodes unreached degree saturation follow the exponential distribution with an error of no more than 6%; nodes reached degree saturation follow the distribution of their connection capacities with an error of no more than 3%; network weaving coefficients have a positive correlation with the highest probability of new node and initial number of connected edges. The results have verified the feasibility and effectiveness of the model, which provides a new idea and method for exploring CNFNOE＇s evolving process and law. Also, the model has good application prospects in structure and dynamics research of transportation network, communication network, social contact network,etc.展开更多
Identifying influential nodes in complex networks is still an open issue. In this paper, a new comprehensive centrality mea- sure is proposed based on the Dempster-Shafer evidence theory. The existing measures of degr...Identifying influential nodes in complex networks is still an open issue. In this paper, a new comprehensive centrality mea- sure is proposed based on the Dempster-Shafer evidence theory. The existing measures of degree centrality, betweenness centra- lity and closeness centrality are taken into consideration in the proposed method. Numerical examples are used to illustrate the effectiveness of the proposed method.展开更多
在船舶制造环境中,无线信号容易受金属墙壁屏蔽和多路径效应影响,导致船舱内的无线传感器网络覆盖率下降,影响节点对环境信息的有效感知.为优化传感器节点部署以最大化网络覆盖率,本论文针对船舶制造环境中的无线传感器网络信号覆盖问题...在船舶制造环境中,无线信号容易受金属墙壁屏蔽和多路径效应影响,导致船舱内的无线传感器网络覆盖率下降,影响节点对环境信息的有效感知.为优化传感器节点部署以最大化网络覆盖率,本论文针对船舶制造环境中的无线传感器网络信号覆盖问题,提出一种基于虚拟力鲸鱼融合算法的优化方法.首先,建立了考虑金属墙壁障碍的物节点感知模型,以适应船舱环境的复杂性.其次,在鲸鱼群智能优化算法基础上,融合了虚拟力算法,并引入无限折叠迭代混沌映射(Iterative Map with Infinite Collapses,ICMIC)以提高种群多样性,增强算法的全局搜索能力和局部寻优能力,从而有效解决覆盖优化问题.仿真实验结果表明,本文所提算法在船舱复杂环境下能够显著提高最优覆盖率,且算法收敛速度优于对比算法.本文为解决复杂船舶环境中的无线传感器网络覆盖问题提供了一种创新性方法,为相关领域的研究和应用提供了参考.展开更多
[目的/意义]通过最大瓦解结构准确识别科学研究前沿中的关键节点并追踪其演化路径,为把握领域发展规律、优化科研资源配置提供支持,突破现有研究聚焦孤立节点的局部特征,以及难以捕捉知识网络中具有协同作用且对全局连通性有级联破坏力...[目的/意义]通过最大瓦解结构准确识别科学研究前沿中的关键节点并追踪其演化路径,为把握领域发展规律、优化科研资源配置提供支持,突破现有研究聚焦孤立节点的局部特征,以及难以捕捉知识网络中具有协同作用且对全局连通性有级联破坏力的关键节点集合的问题。[方法/过程]以量子通信领域为例,基于2015—2024年Web of Science的6538篇文献构建关键词共现网络,融合多中心性指标并利用熵权法评估节点重要性,采用贪心算法识别MDS,分析其功能协同特征与演化轨迹。[结果/结论]研究表明,MDS仅占网络规模的18%~22%,移除该集合后网络最大连通组件规模下降超过70%,效果显著优于传统方法。关键节点在功能上呈现“主题—方法—工具—目标”的互补协同结构,其演化路径清晰展示了量子通信从理论奠基、技术攻坚到应用落地的三阶段发展轨迹,验证了MDS框架的有效性和实用性。展开更多
目的:运用网络药理学方法探讨透脓散治疗脓肿型淋巴结结核的作用机制。方法:通过中药系统药理学数据库与分析平台(TCMSP)检索透脓散的活性成分及其潜在作用靶点;利用GeneCards和OMIM数据库获取脓肿型淋巴结结核相关靶点,并与透脓散靶点...目的:运用网络药理学方法探讨透脓散治疗脓肿型淋巴结结核的作用机制。方法:通过中药系统药理学数据库与分析平台(TCMSP)检索透脓散的活性成分及其潜在作用靶点;利用GeneCards和OMIM数据库获取脓肿型淋巴结结核相关靶点,并与透脓散靶点取交集获取共同靶点。运用DAVID 6.8平台进行基因本体(gene ontology,GO)功能富集分析和京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。借助STRING 11.5平台构建蛋白质相互作用(protein protein interaction,PPI)网络,并利用Cytoscape 3.9.1软件对透脓散“活性成分-作用靶点”网络进行可视化与分析。结果:经筛选共获得透脓散与脓肿型淋巴结结核共同靶点72个,富集分析表明,透脓散可能通过调控细胞凋亡、氧化应激反应等相关信号通路发挥治疗作用,AKT1、TP53、ALB、CASP3等基因可能是关键靶点。结论:透脓散可能通过调控AKT1、TP53、ALB、CASP3等关键靶点基因的表达,治疗脓肿型淋巴结结核,为临床和基础研究提供参考。展开更多
基金supported by the China Doctoral Discipline New Teacher Foundation(200802901507)the Sichuan Province Basic Research Plan Project(2013JY0165)the Cultivating Programme of Excellent Innovation Team of Chengdu University of Technology(KYTD201301)
文摘In order to reduce power consumption of sensor nodes and extend network survival time in the wireless sensor network （WSN）, sensor nodes are scheduled in an active or dormant mode. A chain-type WSN is fundamental y different from other types of WSNs, in which the sensor nodes are deployed along elongated geographic areas and form a chain-type network topo-logy structure. This paper investigates the node scheduling prob-lem in the chain-type WSN. Firstly, a node dormant scheduling mode is analyzed theoretical y from geographic coverage, and then three neighboring nodes scheduling criteria are proposed. Sec-ondly, a hybrid coverage scheduling algorithm and dead areas are presented. Final y, node scheduling in mine tunnel WSN with uniform deployment （UD）, non-uniform deployment （NUD） and op-timal distribution point spacing （ODS） is simulated. The results show that the node scheduling with UD and NUD, especial y NUD, can effectively extend the network survival time. Therefore, a strat-egy of adding a few mobile nodes which activate the network in dead areas is proposed, which can further extend the network survival time by balancing the energy consumption of nodes.
基金supported by the National Natural Science Foundation of China(615730176140149961174162)
文摘Multiple complex networks, each with different properties and mutually fused, have the problems that the evolving process is time varying and non-equilibrium, network structures are layered and interlacing, and evolving characteristics are difficult to be measured. On that account, a dynamic evolving model of complex network with fusion nodes and overlap edges（CNFNOEs） is proposed. Firstly, we define some related concepts of CNFNOEs, and analyze the conversion process of fusion relationship and hierarchy relationship. According to the property difference of various nodes and edges, fusion nodes and overlap edges are subsequently split, and then the CNFNOEs is transformed to interlacing layered complex networks（ILCN）. Secondly,the node degree saturation and attraction factors are defined. On that basis, the evolution algorithm and the local world evolution model for ILCN are put forward. Moreover, four typical situations of nodes evolution are discussed, and the degree distribution law during evolution is analyzed by means of the mean field method.Numerical simulation results show that nodes unreached degree saturation follow the exponential distribution with an error of no more than 6%; nodes reached degree saturation follow the distribution of their connection capacities with an error of no more than 3%; network weaving coefficients have a positive correlation with the highest probability of new node and initial number of connected edges. The results have verified the feasibility and effectiveness of the model, which provides a new idea and method for exploring CNFNOE＇s evolving process and law. Also, the model has good application prospects in structure and dynamics research of transportation network, communication network, social contact network,etc.
基金supported by the National Natural Science Foundation of China(61174022)the National High Technology Research and Development Program of China(863 Program)(2013AA013801)+2 种基金the Open Funding Project of State Key Laboratory of Virtual Reality Technology and Systems,Beihang University(BUAA-VR-14KF-02)the General Research Program of the Science Supported by Sichuan Provincial Department of Education(14ZB0322)the Fundamental Research Funds for the Central Universities(XDJK2014D008)
文摘Identifying influential nodes in complex networks is still an open issue. In this paper, a new comprehensive centrality mea- sure is proposed based on the Dempster-Shafer evidence theory. The existing measures of degree centrality, betweenness centra- lity and closeness centrality are taken into consideration in the proposed method. Numerical examples are used to illustrate the effectiveness of the proposed method.
文摘在船舶制造环境中,无线信号容易受金属墙壁屏蔽和多路径效应影响,导致船舱内的无线传感器网络覆盖率下降,影响节点对环境信息的有效感知.为优化传感器节点部署以最大化网络覆盖率,本论文针对船舶制造环境中的无线传感器网络信号覆盖问题,提出一种基于虚拟力鲸鱼融合算法的优化方法.首先,建立了考虑金属墙壁障碍的物节点感知模型,以适应船舱环境的复杂性.其次,在鲸鱼群智能优化算法基础上,融合了虚拟力算法,并引入无限折叠迭代混沌映射(Iterative Map with Infinite Collapses,ICMIC)以提高种群多样性,增强算法的全局搜索能力和局部寻优能力,从而有效解决覆盖优化问题.仿真实验结果表明,本文所提算法在船舱复杂环境下能够显著提高最优覆盖率,且算法收敛速度优于对比算法.本文为解决复杂船舶环境中的无线传感器网络覆盖问题提供了一种创新性方法,为相关领域的研究和应用提供了参考.
文摘[目的/意义]通过最大瓦解结构准确识别科学研究前沿中的关键节点并追踪其演化路径,为把握领域发展规律、优化科研资源配置提供支持,突破现有研究聚焦孤立节点的局部特征,以及难以捕捉知识网络中具有协同作用且对全局连通性有级联破坏力的关键节点集合的问题。[方法/过程]以量子通信领域为例,基于2015—2024年Web of Science的6538篇文献构建关键词共现网络,融合多中心性指标并利用熵权法评估节点重要性,采用贪心算法识别MDS,分析其功能协同特征与演化轨迹。[结果/结论]研究表明,MDS仅占网络规模的18%~22%,移除该集合后网络最大连通组件规模下降超过70%,效果显著优于传统方法。关键节点在功能上呈现“主题—方法—工具—目标”的互补协同结构,其演化路径清晰展示了量子通信从理论奠基、技术攻坚到应用落地的三阶段发展轨迹,验证了MDS框架的有效性和实用性。
文摘目的:运用网络药理学方法探讨透脓散治疗脓肿型淋巴结结核的作用机制。方法:通过中药系统药理学数据库与分析平台(TCMSP)检索透脓散的活性成分及其潜在作用靶点;利用GeneCards和OMIM数据库获取脓肿型淋巴结结核相关靶点,并与透脓散靶点取交集获取共同靶点。运用DAVID 6.8平台进行基因本体(gene ontology,GO)功能富集分析和京都基因与基因组百科全书(Kyoto encyclopedia of genes and genomes,KEGG)通路富集分析。借助STRING 11.5平台构建蛋白质相互作用(protein protein interaction,PPI)网络,并利用Cytoscape 3.9.1软件对透脓散“活性成分-作用靶点”网络进行可视化与分析。结果:经筛选共获得透脓散与脓肿型淋巴结结核共同靶点72个,富集分析表明,透脓散可能通过调控细胞凋亡、氧化应激反应等相关信号通路发挥治疗作用,AKT1、TP53、ALB、CASP3等基因可能是关键靶点。结论:透脓散可能通过调控AKT1、TP53、ALB、CASP3等关键靶点基因的表达,治疗脓肿型淋巴结结核,为临床和基础研究提供参考。
