基于新技术条件的城市“智慧水网”发展规划初探

在回顾＂十一五＂期间上海城市精细化管理＂数字水务＂建设现状和分析当今信息技术发展趋势的基础上,针对城市水利及涉水事务管理和服务的应用需求,探讨了新技术条件下业务流程再造的发展方向,研究提出了城市＂智慧水网＂建设理念,设计了新技术条件下的信息化建设技术结构框架,并以＂十二五＂上海涉水事务信息化建设为例作了＂智慧水网＂发展规划的探索设计,初步提出了建设任务、目标内容和保障措施。     

赞比亚Lunzua水电站施工控制网的建立

文章结合工程实例,介绍南半球国家施工控制网的建立、平差与投影变形的解决方法.     

基于BP网络的承压水漏斗动态规律研究

为了研究区域地下水的变化规律,结合沧州1989～2007年72眼观测井的水位、区域开采量和补给量等资料,研制了该区域承压水漏斗水位的BP网络模型。该模型具有分布参数模型的特征,对水位拟合与检验的合格率均大于70%,符合相关规程要求。应用所建模型,对5个不同开采与补给方案下,研究区未来10 a承压水漏斗的动态变化进行了模拟,模拟结果合理、可靠。     

巴山水电站面板堆石坝变形监测控制网的建立

介绍重庆巴山混凝土面板堆石坝外部变形监测控制网的建立与施测,并对监测控制网计算进行了分析,总结了该控制网建立过程中的经验,为类似条件下水电工程平面变形监测控制网和水准网的建立提供参考。     

基于LSFD算法的小波模糊神经网络的研究与应用

利用小波变换的多分辨率特性构造小波模糊神经网络模型,并应用在非线性系统的辨识上.在参数学习上,给出了模糊微分与李亚普诺夫稳定相结合的新算法—LSFD算法,并与梯度下降法进行了对比.通过仿真,结果表明小波模糊神经网络模型与模糊神经网络、模糊小波神经网络、小波神经网络和神经网络等模型相比,其性能指标最小,收敛速度更快,更加准确.     

家庭网络安全研究

目前,家庭网络是重点研究领域之一,家庭网络提供重要服务之一是远程控制家庭网络里的信息家电,由于家庭网络由异构网络协议和各种服务模型组成,远程控制服务导致家庭网络受到各种安全威胁.分析了国内外家庭网络研究现状和存在的安全威胁,对家庭网络安全研究的各种方法的优缺点进行了分类分析和总结,提出了家庭网络安全研究的科学问题与研究和发展方向,从而为家庭网络安全研究相关技术的进一步研究提供一定的理论基础.为用户提供简单易用、安全可靠的家庭网络环境,并提供隐私保护是家庭网络安全研究的最终目标.     

Dynamic evolution of collective emotions in social networks: a case study of Sina weibo

Emotion is a fundamental object of human existence and determined by a complex set of factors. With the rapid development of online social networks (OSNs), more and more people would like to express their emotion in OSNs, which provides wonderful opportunities to gain insight into how and why individual emotion is evolved in social network. In this paper, we focus on emotion dynamics in OSNs, and try to recognize the evolving process of collective emotions. As a basis of this research, we first construct a corpus and build an emotion classifier based on Bayes theory, and some effective strategies (entropy and salience) are introduced to improve the performance of our classifier, with which we can classify any Chinese tweet into a particular emotion with an accuracy as high as 82%. By analyzing the collective emotions in our sample networks in detail, we get some interesting findings, including a phenomenon of emotion synchronization between friends in OSNs, which offers good evidence for that human emotion can be spread from one person to another. Furthermore, we find that the number of friends has strong correlation with individual emotion. Based on those useful findings, we present a dynamic evolution model of collective emotions, in which both self-evolving process and mutual-evolving process are considered. To this end, extensive simulations on both real and artificial networks have been done to estimate the parameters of our emotion dynamic model, and we find that mutual-evolution plays a more important role than self-evolution in the distribution of collective emotions. As an application of our emotion dynamic model, we design an efficient strategy to control the collective emotions of the whole network by selecting seed users according to k-core rather than degree.     

A High-Precision Time Handling Library

An appropriate assessment of end-to-end network performance presumes highly efficient time tracking and measurement with precise time control of the stopping and resuming of program operation. In this paper, a novel approach to solving the problems of highly efficient and precise time measurements on PC-platforms and on ARM-architectures is proposed. A new unified High Performance Timer and a corresponding software library offer a unified interface to the known time counters and automatically identify the fastest and most reliable time source, available in the user space of a computing system. The research is focused on developing an approach of unified time acquisition from the PC hardware and accordingly substituting the common way of getting the time value through Linux system calls. The presented approach provides a much faster means of obtaining the time values with a nanosecond precision than by using conventional means. Moreover, it is capable of handling the sequential time value, precise sleep functions and process resuming. This ability means the reduction of wasting computer resources during the execution of a sleeping process from 100% （busy-wait） to 1-1.5%, whereas the benefits of very accurate process resuming times on long waits are maintained.     

Normalized Efficient Routing Protocol for WSN

WSNs （wireless sensor networks） consist of thousands of tiny nodes having the capability of sensing, computation, and wireless communications. Unfortunately these devices are limited energy devices, that is means we must save energy as much as possible, to increase network life time as long as possible. In this paper we introduce NEER--normalized energy efficient routing protocol that increases network life time through switching between AODV protocol that depends on request-reply routing, and MRPC that depends on residual battery in routing.     

Stability Analysis for Delayed Neural Networks with Discontinuous Neuron Activations

This paper considers a class of delayed neural networks with discontinuous neuron activations. Based on the theory of differential equations with discontinuous right‐hand sides, some novel sufficient conditions are derived that ensure the existence and global exponential stability of the equilibrium point. Moreover, by adopting the concept of convergence in measure, convergence behavior for the output is discussed. The obtained results are independent of the delay parameter and can be thought of as a generalization of previous results established for delayed neural networks with Lipschtz continuous neuron activations to the discontinuous case. Finally, we give a numerical example to illustrate the effectiveness and novelty of our results by comparing our results with those in the early literature.