Adaptive coupled synchronization of non-autonomous systems in ring networks

The adaptive coupled synchronization method for non-autonomous systems is proposed. This method can avoid estimating the value of coupling coefficient. Under the uniform Lipschitz assumption, we derive the asymptotical synchronization for a general coupling ring network with N identical non-autonomous systems~ even when N is large enough. Strict theoretical proofs are given. Numerical simulations illustrate the effectiveness of the present method.

Three-Dimensional Planning of Arrival and Departure Route Network Based on Improved Ant-Colony Algorithm

In order to improve safety,economy efficiency and design automation degree of air route in terminal airspace,Three-dimensional(3D)planning of routes network is investigated.A waypoint probability search method is proposed to optimize individual flight path.Through updating horizontal pheromones by negative feedback factors,an antcolony algorithm of path searching in 3Dterminal airspace is implemented.The principle of optimization sequence of arrival and departure routes is analyzed.Each route is optimized successively,and the overall optimization of the whole route network is finally achieved.A case study shows that it takes about 63 sto optimize 8arrival and departure routes,and the operation efficiency can be significantly improved with desirable safety and economy.

Mapping the small-world properties of brain networks in Chinese to English simultaneous interpreting by using functional near-infrared spectroscopy

The aim of this study is to examine the small-world properties of functional brain networks inChinese to English simultaneous interpreting(SI)using functional near-infrared spectroscopy(INIRS),In particular,the fNIRS neuroimaging combined with complex network analysis wasperformed to extract the features of functional brain networks underling three translationstrategies associated with Chinese to English SI:"transcoding"that takes the"shortcut"linkingtranslation equivalents between Chinese and the English,code-mixing"that basically does notinvolve blingual procesing,and"transphrasingn that takes the long route"involving amonolingual processing of meaning in Chinese and then another monolingual processing ofmeaning in English.Our results demonstrated that the small-world net work topology was able todistinguish well bet ween the transcoding,code-mixing and transphrasing strategies related toChinese to English SI.

Interaction Energy Prediction of Organic Molecules using Deep Tensor Neural Network

The interaction energy of two molecules system plays a critical role in analyzing the interacting effect in molecular dynamic simulation.Since the limitation of quantum mechanics calculating resources,the interaction energy based on quantum mechanics can not be merged into molecular dynamic simulation for a long time scale.A deep learning framework,deep tensor neural network,is applied to predict the interaction energy of three organic related systems within the quantum mechanics level of accuracy.The geometric structure and atomic types of molecular conformation,as the data descriptors,are applied as the network inputs to predict the interaction energy in the system.The neural network is trained with the hierarchically generated conformations data set.The complex tensor hidden layers are simplified and trained in the optimization process.The predicted results of different molecular sys tems indica te that deep t ensor neural net work is capable to predic t the interaction energy with 1 kcal/mol of the mean absolute error in a relatively short time.The prediction highly improves the efficiency of interaction energy calculation.The whole proposed framework provides new insights to introducing deep learning technology into the interaction energy calculation.

Synchronization in a fractional-order dynamic network with uncertain parameters using an adaptive control strategy

This paper studies synchronization of all nodes in a fractional-order complex dynamic network. An adaptive control strategy for synchronizing a dynamic network is proposed. Based on the Lyapunov stability theory, this paper shows that tracking errors of all nodes in a fractional-order complex network converge to zero. This simple yet prac- tical scheme can be used in many networks such as small-world networks and scale-free networks. Unlike the existing methods which assume the coupling configuration among the nodes of the network with diffusivity, symmetry, balance, or irreducibility, in this case, these assumptions are unnecessary, and the proposed adaptive strategy is more feasible. Two examples are presented to illustrate effectiveness of the proposed method.

Exploration of the Potential Mechanism of Gancao Yangyin Decoction on Aging Based on Network Pharmacology

Objective:To explore the targels and molecular mechanism of Gancao Yangyin Decoction(甘草养阴汤,GCYYD)based on network pharmacology.Methods:The effective chemical components of 7 kinds of Chinese materia medica in GCYYD and their relevant targets were obtai ned through the traditional Chinese medicine systems pharmacology database and analysis platform(TCMSP)and the encyelopedia of traditional Chinese medicine(ETCM).The aging-related targets were obtained through GeneCards database.The targets related to the effective chemical components were mapped with the aging-related targets,and the gene targets of GCY YD for intervening in aging were obtained.The protein interaction network diagram of GCY YD interfering with aging was drawn through String database and Cytoscape 3.7.1 software,and the core target genes were screened.The potential targets obtained were analyzed by gene ontology(GO)biological function enrichment analysis and kyoto encyelopedia of genes and genomes(KEGG)pathway enrichment analysis.Results:Totally 130 effective chemical components of the 7 kinds of Chinese materia medica of GCYYD and 276 related targets were obtained from TCMSP and ETCM databases.Totally 216 aging-related targets were obtained through GeneCards database.There were 63 target genes intervening in aging in GCYYD,with core target genes ALB,AKTI,TNF,L 6,MMP-3,VEGFA,CASP5,etc.Through biological function and signaling pathway enrichment analyses for the target genes with R software,147 KEGG signaling pathways were found,mainly related to age-RAGE signaling pathway in diabetic complications,proteoglycans in cancer,fluid shear stress and atherosclero-sis,HIF-1 signaling pathway,human cytomegalovirus infection,celluar senescence,prostate cancer,bladder cancer,elte.Conclusion:GCYYD can intervene in aging through"multicomponents-mulitargets-multipath-ways",which lays foundation for further experimental research.

用.NET实现系统整合的关键技术

文章给出了用.NET技术整合分离的业务系统的方法,给出了.NET下应用系统的层次结构及完成数据转换、数据传输等关键技术的具体实现,是解决目前大量存在的系统整合问题的理想方案。

基于ASP.NET 2.0的工作日志管理系统设计

为了发挥工作日志在科学管理中的重要作用,有效配合工作日志工作的顺利开展,本文从模块化程序设计的角度,探讨了工作日志管理系统的设计和实现方法.

基于DotNET平台的应用程序开发框架的研究

介绍了基于Web的分布式应用系统的框架结构模型,讨论了数据库访问、用户安全、通用的用户控件、工作流和工作任务等的功能与实现。研究成果已经用于资产管理、人力资源管理等产品的开发,应用实践表明该框架的设计技术先进,性能优良,功能强大,完全满足分布式应用系统的开发需要。

用.Net实现工程建设监管系统

给出了用.Net技术实现工程建设管理系统的方法,给出了系统的总体框架设计和在.NET架构下系统的具体实现,对用户界面层、网络信息发布层、数据访问层、数据层进行了明确的解释,并给出了具体实例;同时对数据转换、数据传输等关键技术的解决方法进行了阐述,是用.NET技术实现系统集成的典型案例。

Optimal Planning of Hybrid AC/DC Low-voltage Distribution Networks Considering DC Conversion of Three-phase Four-wire Low-voltage AC Systems

The increasing integration of distributed household photovoltaics(PVs)and electric vehicles(EVs)may further ag gravate voltage violations and unbalance of low-voltage distribu tion networks(LVDNs).DC distribution networks can increase the accommodation of PVs and EVs and mitigate mutilple pow er quality problems by the flexible power regulation capability of voltage source converters.This paper proposes schemes to es tablish hybrid AC/DC LVDNs considering the conversion of the existing three-phase four-wire low-voltage AC systems to DC op eration.The characteristics and DC conversion constraints of typical LVDNs are analyzed.In addition,converter configura tions for typical LVDNs are proposed based on the three-phase four-wire characteristics and quantitative analysis of various DC configurations.Moreover,an optimal planning method of hybrid AC/DC LVDNs is proposed,which is modeled as a bi-level programming model considering the annual investments and three-phase unbalance.Simulations are conducted to verify the effectiveness of the proposed optimal planning method.Sim ulation results show that the proposed optimal planning method can increase the integration of PVs while simultaneously reduc ing issues related to voltage violation and unbalance.

基于ASP.NET的高职工学结合实习管理系统的设计

针对高职工学结合过程中存在的诸多问题,应用ASP.NET及数据库技术,设计了B/S结构的高职工学结合实习管理系统,实现了工学结合实习信息的计算机网络化管理和信息共享。为学校、企业、学生三方的合作交流提供了平台,使实习信息的采集、管理、共享规范化和现代化。

基于.NET的电信工单业务系统设计与实施

本文以电信管理网体系结构为蓝本,结合电信管理网在电信工单领域的设计思想,围绕电信工单业务系统的设计和应用,提出了系统的总体设计思想和问题解决方案。

基于.NET的部队旅团政治工作管理信息系统

针对部队现代化及信息化建设与发展的要求,采用.Net编程和SQL server数据库技术,以B/S模式的三层体系结构,构建部队旅团政治工作管理信息系统的总体结构。系统开发在VS.NET 2003环境下进行。用SQL Server 2000构建数据库,使用ASP.NET结合VB.NET设计Web应用程序,通过ADO.NET实现系统与数据库的连接。实例运行表明,系统工作稳定,使用方便。

WebGrid.NET控件在项目管理信息系统开发中的应用

介绍了WebGrid.NET控件在项目管理信息系统开发中的应用,并提出了一种基于.NET技术用于分级显示项目工作分解结构(WBS)的方法。该法适用于B/S模式,弥补了微软默认控件DataGrid不能显示分级数据的不足,可广泛应用于Web模式的项目管理信息系统(PMIS)开发。

基于Netserver的基建MIS系统方案设计

按照国家电力公司对基建工程“五制”管理的要求 ,以供电企业的信息化建设要求作为系统开发的基础和前提 ,设计了适合本局使用的基于Netserver网络的基建MIS系统 ,对其功能模型、数据规划、构造处理模型。

数智化知识生态系统的构成与演进阶段分析——以杭州“梦想小镇”为例

[目的/意义]探究数智赋能下知识生态系统新的构成与演进阶段,以此为我国区域创新与协同知识创新提供新视野。[方法/过程]根据复杂适应系统理论,确定数智化知识生态系统的演化阶段,并采用定性探索方法对“梦想小镇”的发展过程进行实地调研、半结构化访谈和网络数据的搜集,以此分析数智化知识生态系统的发展阶段与相应特征。[结果/结论]揭示了数智化知识生态系统的组成和演进阶段,发现数智化知识生态系统遵循复杂适应系统理论,存在4个演化阶段,并在不同阶段具有不同的特质。

基于组合优化算法的船舶信息风险评估

为避免船舶信息风险引发重大船舶航行事故,研究基于组合优化算法的船舶信息风险评估方法。选取通信、环境、管理、人为这4个方面因素共17个指标,构建船舶信息风险评估指标体系,将其作为径向基函数(RBF)神经网络输入层输入数据,经隐含层映射操作后,通过输出层输出评估到的船舶信息风险等级,采用结合模糊C均值聚类算法和遗传算法的组合优化算法,合理选取RBF神经网络隐含层中心向量并寻优获取最佳隐含层基函数宽度和权值向量,提升船舶信息风险评估效果。实验结果表明:该方法可有效评估多艘船舶的信息风险,并可依据评估结果获取何种因素导致船舶信息风险,提出针对性指导建议。

对称NARMA-U模型及其神经网络自校正控制器

带预测误差补偿的改进NARMA-L2模型是由NARMA模型在自适应滤波动态工作点处一阶泰勒展开逼近得出的,在自适应滤波动态工作点处二阶泰勒展开逼近可得到对称NARMA-U模型,采用BP神经网络辨识对称NARMA-U模型参数,提出一广义目标函数,基于对称NARMA-U模型的非线性系统的神经网络自校正控制器,应用直接极小化指标函数自适应优化算法对BP神经网络连接权重值进行在线学习。仿真研究表明算法的响应优良。