如何在双机热备份的环境下升级SYBASE

在全省各个地、市电信局 TIMS系统中运行的 SYBASE的版本是 11.0 2 ,为了满足 2 0 0 0年时钟过渡的要求 ,需要把版本升到 11.0 3。SYBASE运行环境是 :两台小型机共享磁盘阵列 ,利用 ROSE HA软件进行双机热备份管理。当开机时 ROSE HA就会起来 ,SYBASE数据库就会自动启动。一旦 STOP HA或 SYBASE数据库 SHUTDOWN则 SYBASE就会被另一台小型机接管 ,SYBASE升级过程中有一个数据库 SHUT DOWN后 ,需要一个立即再次启动的过程 ,这样就给我们升级 SYBASE造成麻烦。现将本人工作中的具体操作跟大家进行交流。一、升…     

在SYBASE数据库中如何设置用户口令为null

主要阐述了SYBASE数据库中如何将用户口令设置为空。     

在SYBASE中如何恢复sa的口令为NULL

主要阐述SYBASE数据库中如何管理用户帐户（user account)及恢复超级用户sa的口令。     

一种异构数据库数据交换的方法

本文提出一种在异构数据库之间实现数据互用的通用方法并具体实现了FOXPRO和SYBASE之间的数据互用。     

本地网网管系统中用户数据库的备份和恢复

某本地网网管采用客户／服务器体系结构,以SUNULTRA2为服务器,服务器操作系统为SUNSOLARIS2．5．1,3COMLINKSWITCH1000交换集线器为中心网络设备,TCP／TP网络传输协议。采用支持客户／服务器模式的大型关系数据库SYBASE,系统软件用部软件中心的NOMA系统,完成对交换机的集中监控和维护操作。NOMA系统软件创建了3个用户数据库：静态数据库STATICDB、告警数据库ALMDB、话务数据库TRAFFICDB。一、准备工作1．备份服务器BACKUPSERVER在SYBASESYSTEM10及以后的版本中,对用户的数据库的备份与恢复,…     

基于SYBASE数据库的财政集中支付系统

介绍了客户／服务器结构的计算模型，阐述了SYBASE数据库管理平台的优势，根据财政局财政集中支付管理的实际工作流程，采用C／S计算模式，并以SYBASE ASE12．5大型分布式数据库作为后台数据库平台，实现了某财政局的财政集中支付管理系统。     

数据库的日志管理

介绍了SYBASE数据库事务日志的记录及读取方式,说明了日志管理的重要性,结合绵阳市局的计费系统从7个方面具体阐述如何管理好日志.     

谈SYBASE ADAPTIVE SERVER 12技术特性

介绍了SYBASE数据库的核心产品SybaseAdaptiveServer12的技术特性。     

数据库主动功能扩展技术研究与实现

根据当前数据库应用需求和技术发展现状,研究了数据库管理系统功能扩展的关键技术问题,在已有的GKD-Base PL/SQL引擎基础上,设计实现了数据库的触发器机制,并采用ECA中介器扩展了GKD-Base的主动功能。     

SYBASE数据库的自动管理

介绍数据库系统管理员的工作内容 ,自动管理的意义和如何实现SYBASE数据库的自动管理。     

动态网络空间中的k-NN查询

随着无线通讯应用的持续增长和定位技术的发展,如何有效率的应答大量移动对象的查询请求以及基于位置的服务(1location-based services LBS)变得越来越重要,k-NN查询是其中的重要服务功能.本文提出了一种解决动态网络中静态对象k-NN查询算法,该算法先将网络以目标对象为中心进行网络划分,通过定位原始...     

网络智能化推进网络融合

网络智能化的基本原理是在现有固定电话网中引入用户数据库（DB）新网元,国内网络智能化主要采用TDM汇接局访问DB和端局完全访问DB方式,通过软交换实现将更有优势,而未来融合的网络将引入IMS架构.     

Dense-CNN: Dense convolutional neural network for stereo matching using multiscale feature connection

In spite of the fact that convolutional neural network-based stereo matching models have shown good performance in both accuracy and robustness, the issue of image feature loss in regions of texture-less, complex scenes and occlusions remains. In this paper, we present a dense convolutional neural network-based stereo matching method with multiscale feature connection, named Dense-CNN. First, we construct a novel densely connected network with multiscale convolutional layers to extract rich image features, in which the merged multiscale features with context information are utilized to estimate the cost volume for stereo matching. Second, we plan a novel loss-function strategy to learn the network parameters more reasonably, which can develop the performance of the proposed Dense-CNN model on disparity computation. Finally, we run our Dense-CNN model on the Middlebury and KITTI databases to conduct a comprehensive comparison with several state-of-the-art approaches. The experimental results demonstrate that the proposed method achieved superior performance on computational accuracy and robustness of disparity estimation, especially achieving the significant benefit of feature preservation in ill-posed regions.     

An architecture design approach for large satellite networks

Designing a world-wide satellite network that consists of hundreds of user sites and thousands of circuit connections is a complex problem, which involves selecting a set of candidate satellites and satellite beams/frequency bands from among numerous existing and planned satellites, evaluation of circuit connectivity, earth-station compatibility and sizing, and estimating transponder loading. The design process may also require assessment of the impact of a different set of satellites and modified user traffic requirements on the space segment, the earth-station types and quantity, and the total system cost. Although a conventional design approach based on link-by-link and site-by-site analysis provides accurate results, it is time-consuming and impractical for developing high-level network architectures in a time-constrained environment. A design technique is proposed which employs a set of rules for satellite network design, in combination with extensive databases of satellite parameters, earth-station parameters and user traffic requirements, to synthesize a network architecture. The technique is particularly useful for performing high-level trade-offs among alternative architectures in terms of space segment requirements, the number and type of earth-stations and overall system cost. Once the desired architecture has been selected, a detailed design may be developed using conventional methods.     

基于交叉网络的眼底视神经乳头自动定位

该文研究基于交叉网络的眼底视神经乳头自动定位的新方法。为描述眼底血管网络空间属性,该文提出一种新的概念交叉网络,并给出了交叉网络属性测度。依据眼底组织结构模型构建交叉网络,利用血管网络交叉密度测度,实现眼底图像视神经乳头的自动定位。采用国际通用的STARE,DRIVE眼底图像库以及临床采集图像进行不同图像质量下定位成功率测试,实验结果验证了算法的有效性。同时运算速度较已有算法也有明显提高,可以满足眼科临床检查的需求。     

Location estimation‐based radio environment map construction in fading channels

Latest regulations on TV white space communications and trend toward spectrum access through geolocation databases relax the regulatory constraints on cognitive radios. Radio environment map (REM) is a kind of improved geolocation database and an emerging topic with the latest regulations on TV white space communications. It constructs a comprehensive temperature map of the cognitive radio network operation area by utilizing multi‐domain information from geolocation databases, characteristics of spectrum use, geographical terrain models, propagation environment, and regulations. REMs act as cognition engines by building long‐term knowledge via processing spectrum measurements collected from sensors to estimate the state of locations without any measurement data. Active transmitter LocatIon Estimation based REM construction technique is proposed and compared with the well‐known REM construction techniques such as Kriging and inverse distance weighted interpolation in shadow and multipath fading channels. The simulation results suggest that the LocatIon Estimation based REM construction outperforms the compared methods in terms of RMSE and correct detection zone ratio by utilizing additional information about channel parameters that can be estimated by classical least squares method easily.Copyright © 2013 John Wiley & Sons, Ltd.     

Control architecture for next-generation communication networksbased on distributed databases

Intelligent routing control is defined as the process in which the network interrogates the databases containing the relationships between logical numbers, such as personal or information identifiers, and physical addresses in the transport network to find the terminal having the information required to process a user request. The routing control system presented uses distributed databases, each of which manages a switching system and all of which are connected through high-speed signalling networks separate from the transport network. If the requested physical address cannot be found in one database, search requests are distributed at the same time to all other databases. For up to 100 million subscribers, the routing control system can find a physical address within 1 s when each database uses ten memories accessed at 200 ns with an interdatabase linkage speed of 14 Mb/s     

用PowerBuilder通过拨号方式实现远程数据库连接与数据传输

以远程数据传输及数据库连接为例,介绍了运用经典的PowerBuilder为开发工具,通过其丰富的数据库接口,客户/服务体系结构及可视化面向对象的编程方式,独特的数据窗口技术等特点,结合Sybase数据库实现远程数据处理的全过程,以WindowsNT操作系统为例,通过安装设置远程访问服务,网络IP地址,Sybase数据库地址,并以一个实用的管理软件,进行远距离的数据传输访问,分析了其适用性,总结了这种开发方式的可行性。