SRDF技术在企业IDC灾备系统中的应用

SRDF是EMC公司推出的一种基于存储系统的远程数据复制技术,具有维护方便,对生产主机性能消耗小,技术成熟等特点。该文通过对比不同的数据复制方案,选择SRDF设计并实现了企业IDC的灾备,在实际中取得了较好的效果。     

电子文件中心、电子文件备份中心和电子政务灾备中心辨析

随着2007年4月"全国电子文件中心建设经验交流会"的召开,国家档案局研究和部署了进一步推进电子文件中心的建设。本文将对此次交流会上提到的"电子文件中心"、"电子文件备份中心"和"电子政务灾备中心"进行分析和比较,找出它们的区别和联系,以免在电子政务建设中出现概念混淆、重复建设等问题。     

The Rayleigh-Taylor instability in the spherical pinch

The spherical pinch (SP) concept is an outgrowth of the inertial confinement model (ICF). Unlike the ICF, where instabilities, especially the Rayleigh-Taylor instability, have been studied extensively, the instability study of the spherical pinch has just begun. The Rayleigh-Taylor instability is investigated for the first time in the SP in the present work. By using the simple condition for the Rayleigh-Taylor instability p·<0 (density and pressure gradients have opposite direction), we have qualitatively identified the regions for development of instabilities in the SP. It is found that the explosion phase (central discharge) is stable and instabilities take place in the imploding phase. However, the growth rate for the instability is not in exponential form, and the appearance of the Rayleigh-Taylor instability does not prevent the main shock wave from converging to the center of the sphere.     

Disaster Monitoring of Satellite Image Processing Using Progressive Image Classification

The analysis of remote sensing image areas is needed for climate detection and management, especially for monitoring flood disasters in critical environments and applications. Satellites are mostly used to detect disasters on Earth, and they have advantages in capturing Earth images. Using the control technique, Earth images can be used to obtain detailed terrain information. Since the acquisition of satellite and aerial imagery, this system has been able to detect floods, and with increasing convenience, flood detection has become more desirable in the last few years. In this paper, a Big Data Set-based Progressive Image Classification Algorithm (PICA) system is introduced to implement an image processing technique, detect disasters, and determine results with the help of the PICA, which allows disaster analysis to be extracted more effectively. The PICA is essential to overcoming strong shadows, for proper access to disaster characteristics to false positives by operators, and to false predictions that affect the impact of the disaster. The PICA creates tailoring and adjustments obtained from satellite images before training and post-disaster aerial image data patches. Two types of proposed PICA systems detect disasters faster and more accurately (95.6%).     

基于深度学习的自然灾害遥感影像语义分割

自然灾害种类繁多, 通过遥感影像语义分割相对比较困难. 为了能够更好实现遥感影像分割, 本文提出一种基于生成对抗网络的3层遥感影像语义分割模型, 针对不同场景的解析, 基于全卷积神经网络FCN, 设计一种多层次的遥感语义分割框架. 有效对遥感图像语义分割进行处理, 从而提高了模型的分割精度. 实验表明利用这种模型是有效的, 特别是受损建筑的分割结果, mIoU为82.28%, 通过该模型与其他网络模型进行对比, 其性能评价指标明显优于其他网络模型. 最后, 通过对自然灾害各种场景影像进行分析, 为应急管理部门提供一份可靠的数据报告.     

Real time flood disaster monitoring based on energy efficient ensemble clustering mechanism in wireless sensor network

In this article, energy efficient ensemble clustering method (EECM) with black widow optimization (EECM-BWO) algorithm is proposed for effective data transmission with the help of real time flood disaster monitoring wireless sensor network (WSN). Initially, unified scalable ensemble clustering algorithm based on ensemble generation and consensus function is proposed for selecting the optimal routing path among the node using BWO algorithm. Then, biologically inspired routing black widow spiders optimization algorithm is proposed to trade off the nodes energy level, self-organization, and self-configuration in the WSN. The simulation is performed using NS2 simulator for validating the performance of the proposed EECM-BWO method. Here, in node, low delay achieves 24.07%, 72.58%, 51.36%, 81.75%, 77.74%, high packet delivery ratio achieves 70.83%, 53.93%, 90.23%, 43.58%, 24.58%, low packet drop attains 77.93%, 72.76%, 61.56%, 51.87%, 34.35%, low energy consumption attains 75.9%, 52.94%, 65.81%, 58%, 41.2% compared with existing energy-efficient clustering approach consolidated game theory as well as dual-cluster-head mode for WSNs energy-aware clustering by cuckoo optimization approach (EECM-COA), energy-aware clustering-based routing using multi-path reliable transmission with routing and control board (EECM-RCB-MRT), adaptive repair algorithm with temporally ordered routing algorithms for flood control strategy (EECM-AR-TORA-FCS), passive multi-hop clustering algorithm (EECM-PMC), dynamic source routing protocol based on genetic algorithm-bacterial foraging optimization (DSR-GA-BFO).     

黄河下游防洪减灾效益分析

由于黄河多泥沙的特性和特殊的自然条件,黄河下游河道在历史上决口频繁。人民治黄５０年来,黄河下游的防洪减灾措施确保了黄淮海太平原的安全,取得了巨大的社会经济效益。,采用“实际发生年法”对黄河下游防洪减灾效益进行了分析。结果表明,人民治黄以来,黄河下游防洪工程减免大堤决口、减少滩地淹没、减少凌汛决口及河道淤积所取得的直接经济效益分析另３４００．１、６５．８、１２０．０、４５．０亿元,由于黄河问题的复杂     

基于网络检测平台应对网络灾害探讨

网络灾害作为互联网给人类社会带来的各种潜在风险和负面效应之一,正在影响着社会各个行业。除了在网络安全技术、网络道德和相关法律等方面开展研究外,网络检测平台通过检测网络拓扑结构和其他网络动态属性,构建网络地图,可以为网络灾害的预防和控制提供相关依据。     

ARCENGINE 9.2基于visual studio 2005.NET在安徽防灾项目中的应用实例

在防灾项目中,给决策者提供精确的地质地理背景信息,使其随时查询各个地理信息要素是格外必要的,所以项目中的空间数据查询系统发挥着至关重要的作用;该项目中利用AECENGINE9.2的强大嵌入功能和良好的可操作性,基于visual studio 2005.NET使其功能在防灾项目中发挥出来,在地震地质和基础地理两大类中可详尽的查询出地壳等厚线、深断裂构造、遥感地质构造解译图等信息。     

两种气象应用分析技术的软件算法研究与实现

以气象水文信息显示系统软件开发为背景,针对风场流线分析与显示和温度对数压力图绘制功能的实现,提出了流线分析算法和温度对数压力图的不稳定能量区分析算法.流线分析算法从流线的基本概念出发,结合其物理连续分布的特征,基于风场格点u/v分量数据直接"跟踪"获得流线,并对过密、过短等情况进行了处理.温度对数压力图的不稳定能量区分析算法利用温压曲线与状态曲线的单调性,分段处理温压曲线与状态曲线的位置关系进行不稳定能量区分析.实际使用结果表明,2种算法均具有良好的显示效果和较高的处理效率.