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1.
数据库灾难将给企业带来致命的打击,数据库的容灾就是指将数据库难带来的风险降代到最小。而在数据库的容灾过程中,数据传输是一个核心问题。数据传输多为借助互连网络进行的,依据不同的环境条件,又有不同的传输方法。  相似文献   

2.
本文分析了数据库数据传输存在的问题,提出采用NET平台下的几种方式,解决了Web服务中的同构或异构数据库间的数据传输问题。  相似文献   

3.
在简介电子保险柜网络监测系统的基础上,给出了监控系统的总体结构框图,重点讨论系统的数据库设计方案以及上位机的数据传输及对下位机的控制问题。采用VC 6.0和串行通信类CSerial,通过RS-485接口实现了计算机与89C51单片机的串行数据传输,最终实现了计算机对以89C51单片机为核心的电子保险柜的远距离控制和数据传输,帮助管理人员比较全面的了解用户的各种信息,具有适时处理监测网络信息,密码用户登记、查询、修改、事故记录、查询、声光报警等功能。  相似文献   

4.
异构数据库的集成在信息化建设领域中的应用越来越重要,其中,异构数据库间的数据传输方式和数据传输格式是两个关键的问题。本文基于这两个关键问题,提出了一种基于JMS和XML的异构数据库集成模型,并给出了关键问题的实现。  相似文献   

5.
XML在数据交换中扮演重要角色,在实现XML与数据库的双向数据传输的设计中,XML数据存储到数据库的设计及实现是重点研究内容之一.通过对不同设计方案比较研究,了解各种方案的优缺点,为实际应用开发的方案选择提供指导性依据.  相似文献   

6.
本文介绍了卷烟厂厂级GD数据采集系统的设计与开发,着重讨论了在PowerBuilder中建立与数据库连接的方法和数据管道的运用,在此基础上比较了在数据库间进行数据传输的几种方法,并总结了基于局域网的数据传输共享优化方案。  相似文献   

7.
将几十台远程视频服务器监测数据通过因特网向上传输,面临的问题是如何进行软件设计,以保证数据传输的高效率。采用异步、多线程的方法来设计软件,从功能上分成3个前后关联的线程:主线程、数据接收线程和存入数据库线程,它们异步执行。所设计软件实现了大量视频服务器的数据传输问题,运行正常可靠。  相似文献   

8.
用Delphi7和Chinaexcel实现双向数据传输报表   总被引:1,自引:0,他引:1  
阐述了在delphi7.0环境下开发双向数据传输报表的方法,即利用chinaexcel报表控件,通过在报表和数据库之间进行双向数据的传输来实现从数据库中读取数据和将报表显示的数据存入数据库。  相似文献   

9.
本文从局域网实际情况出发,为达到提高数据库查询效率和减少数据传输总量的目标,提出了23种具有可操作性的数据库查询优化方法和相关建议,对局域网数据库查询具有帮助意义。  相似文献   

10.
在WEB应用开发中,WEB页面间经常需要进行少量或大量的数据传输,目前WEB页面数据传输有许多不同的方法,各自也存在着一些问题和不足。本文主要以ASP.NET这个当前比较流行和常用的编程工具为例,讨论各种WEB页面数据传递方法,比较它们的优缺点,希望对WEB程序开发人员有所帮助。  相似文献   

11.
While the Grid promises to deliver a large number of computation nodes to a user, this computation power is not usable without the proper adaption of the application for the Grid. In this paper, we describe the methods used to port and execute a particular application, Wien2k, on the EGEE production Grid. First, the process of porting the application is described. Then, we investigate the measures necessary to execute the application in this production Grid environment efficiently. Although the focus is on this special application, we describe generic methods which can be applied to all applications. We specifically address: Creating a workflow from an application and mapping this workflow to a Grid workflow using the activity attraction pattern. We discuss workflow engines which support cycles in their application workflow. We investigate naïve and worker scheduling techniques. A short introduction into licensing on the Grid is given. Optimisation techniques such as deployment re-use are discussed. Different data transfer mechanisms, centralised data transfer, data re-use, storage element data transfer, and peer-to-peer data transfer are compared. The paper is concluded with suggestions for further workflow porting.  相似文献   

12.
汉字字体风格迁移旨在保证在语义内容不变的同时对汉字的字形作相应的转换。由于深度学习在图像风格迁移任务中表现出色,因此汉字生成可以从汉字图像入手,利用此技术实现汉字字体的转换,减少字体设计的人工干预,减轻字体设计的工作负担。然而,如何提高生成图像的质量仍是一个亟待解决的问题。本文首先系统梳理了当前汉字字体风格迁移的相关工作,将其分为3类,即基于卷积神经网络(convolutional neural network,CNN)、自编码器(auto-encoder,AE)和生成对抗网络(generative adversarial network,GAN)的汉字字体风格迁移方法。然后,对比分析了22种汉字字体风格迁移方法在数据集规模方面的需求和对不同字体类别转换的适用能力,并归纳了这些方法的特点,包括细化汉字图像特征、依赖预训练模型提取有效特征、支持去风格化等。同时,按照汉字部首检字表构造包含多种汉字字体的简繁体汉字图像数据集,并选取代表性的汉字字体风格迁移方法进行对比实验,实现源字体(仿宋)到目标字体(印刷体和手写体)的转换,展示并分析Rewrite2、zi2zi、TET-GAN(texture effects transfer GAN)和Unet-GAN等4种代表性汉字字体风格迁移方法的生成效果。最后,对该领域的现状和挑战进行总结,展望该领域未来发展方向。由于汉字具有数量庞大和风格多样的特性,因此基于深度学习的汉字生成与字体风格迁移技术还不够成熟。未来该领域将从融合汉字的风格化与去风格化为一体、有效提取汉字特征等方面进一步探索,使字体设计工作向更灵活、个性化的方向发展。  相似文献   

13.
Array redistribution is usually required for more efficiently executing a data-parallel program on distributed memory multi-computers. In performing array redistribution using synchronous communication mode, data communications among the processors should be properly arranged to avoid incurring higher data transfer cost. Some efficient communication scheduling methods for the Block-Cyclic redistribution have been proposed. On the other hand, the processor mapping technique can help reduce the data transfer cost of redistribution. To avoid degrading the benefit of data transfer cost reduction, it is needed to construct optimal communication schedules for the redistribution in which the processor mapping technique is applied. In this paper, we present a unified approach to constructing optimal communication schedules for the processor mapping technique applied Block-Cyclic redistribution. The proposed method is founded on the processor mapping technique and can more efficiently construct the required communication schedules than other optimal scheduling methods.  相似文献   

14.
MySql与Sql Server数据转换研究与实现   总被引:1,自引:1,他引:0  
各种应用系统都具备数据库的支持,其中MySql与Sql Server是数据库应用的代表。用户需求的不断变化,在系统运行实践中经常会遇到数据转换的要求。MySql与Sql Server存在的差异使得这种转换没有统一、通用的方法存在。在分析二者之间数据转换各种方法的基础上,研究并实现了在特定用途中的数据转换。在开发应用程序项目中,综合目前转换方法的优势,弥补了转换方法的不足,得到更加适合项目实际的数据转换方法,并成功在项目开发中得到应用。  相似文献   

15.
目前的迁移学习方法多针对单一迁移类型,使用低级特征空间,并且源集比目标集复杂耗力;针对这些问题,综合考虑特征表示迁移、参数迁移和实例迁移,提出迁移度量学习的通用框架。首先,基于属性相似性空间和类别相似性空间,利用层次K均值聚类获取相似性;然后,利用去相关归一化转换方法消除源集中的相关关系来抑制负迁移作用;最后,改进信息理论度量学习方法进行相似性度量学习。对三种不同复杂度数据集进行实验,结果表明,提出方法的迁移学习性能较传统方法明显提高,且对负迁移影响具有更好的鲁棒性。此外,提出的方法可应用于源集比目标集简单的情况,评估结果表明,即使源集知识有限,也可以得到较好的迁移学习效果。  相似文献   

16.
In real-world applications, we often have to deal with some high-dimensional, sparse, noisy, and non-independent identically distributed data. In this paper, we aim to handle this kind of complex data in a transfer learning framework, and propose a robust non-negative matrix factorization via joint sparse and graph regularization model for transfer learning. First, we employ robust non-negative matrix factorization via sparse regularization model (RSNMF) to handle source domain data and then learn a meaningful matrix, which contains much common information between source domain and target domain data. Second, we treat this learned matrix as a bridge and transfer it to target domain. Target domain data are reconstructed by our robust non-negative matrix factorization via joint sparse and graph regularization model (RSGNMF). Third, we employ feature selection technique on new sparse represented target data. Fourth, we provide novel efficient iterative algorithms for RSNMF model and RSGNMF model and also give rigorous convergence and correctness analysis separately. Finally, experimental results on both text and image data sets demonstrate that our REGTL model outperforms existing start-of-art methods.  相似文献   

17.
Boosting for transfer learning from multiple data sources   总被引:2,自引:0,他引:2  
Transfer learning aims at adapting a classifier trained on one domain with adequate labeled samples to a new domain where samples are from a different distribution and have no class labels. In this paper, we explore the transfer learning problems with multiple data sources and present a novel boosting algorithm, SharedBoost. This novel algorithm is capable of applying for very high dimensional data such as in text mining where the feature dimension is beyond several ten thousands. The experimental results illustrate that the SharedBoost algorithm significantly outperforms the traditional methods which transfer knowledge with supervised learning techniques. Besides, SharedBoost also provides much better classification accuracy and more stable performance than some other typical transfer learning methods such as the structural correspondence learning (SCL) and the structural learning in the multiple sources transfer learning problems.  相似文献   

18.
Efficient data-aware methods in job scheduling, distributed storage management and data management platforms are necessary for successful execution of data-intensive applications. However, research about methods for data-intensive scientific applications are insufficient in large-scale distributed cloud and cluster computing environments and data-aware methods are becoming more complex. In this paper, we propose a Data-Locality Aware Workflow Scheduling (D-LAWS) technique and a locality-aware resource management method for data-intensive scientific workflows in HPC cloud environments. D-LAWS applies data-locality and data transfer time based on network bandwidth to scientific workflow task scheduling and balances resource utilization and parallelism of tasks at the node-level. Our method consolidates VMs and consider task parallelism by data flow during the planning of task executions of a data-intensive scientific workflow. We additionally consider more complex workflow models and data locality pertaining to the placement and transfer of data prior to task executions. We implement and validate the methods based on fairness in cloud environments. Experimental results show that, the proposed methods can improve performance and data-locality of data-intensive workflows in cloud environments.  相似文献   

19.
近年来,针对实际应用场景中可匹配的训练数据不足的问题,科研人员发展出了迁移学习的概念,希望通过提取源域数据的特征信息进行迁移,从而提升目标域的学习效果.本文根据迁移学习所处理的不同数据类型,构造了两种典型的模型:单类别投影基构造模型与监督多类别投影模型.由于子空间投影可以在一定程度上反映原始样本空间的特征性质.因此,本文应用线性判别分析的技巧以及最大均值差异的思想,分别构造了上述模型的求解算法并对相应的非线性核方法进行了推广.  相似文献   

20.
在开发大型MIS中,不可避免地要进行各种类型、各种层次的数据传递与共享,文章提出了在ORACLE数据库中使用DEVELOPER/2000进行开发时实现数据传送与共享的几种方法地括在表格文件(FMB文件)内、表格文件之间以及在表格文件和报表文件(RDF文件)之间进行数据传递的方法;以及在不同用户、不同服务器之间实现数据共享的方法。  相似文献   

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