为了进一步提高输变电工程的评审效率和评审质量,使用关键特性提取及OLAP数据分析技术,提出一个针对110 k V及以下输变电工程设计的智能化评审管理平台。依据对项目可研、初设阶段设计、造价数据评审的需求及历史经验和数据,分析和研究输变电工程设计阶段的关键特性指标,并构建辅助评审体系,利用信息化手段,经研院专家快速评审,提升评审和分析工作的效率。结果表明,在工程评审过程中,利用该平台不仅能有效地提高评审工作效率,而且能提高输变电工程设计评审的深度与信息化水平。
为了解决传统的输变电工程设计人工审查方式效率低下,且容易出错的问题,利用计算机网络技术,开发设计了基于B/S的输变电工程设计评审系统。其以.NET平台为基础,采用基于B/S的分层结构作为系统架构,并使用ASP.NET技术、Java Script脚本语言来完成系统建设。同时使用SQL Server 2005搭建系统数据库,并通过ADO.NET组件实现对数据库的连接和操作,从而实现了输变电工程评审项目的上报、查询、审查与跟踪。该系统实现了输变电工程设计评审工作的自动化管理。
This paper introduces a new model-based soft decoding technique to restore the widely used joint photographic expert group(JPEG) streams.The image is modeled as a two dimensional(2D) piecewise stationary autoregressive process,and the decoding task is formulated as a constrained optimization problem.All the constraints are given by the quantization intervals which available at the decoder freely.The autoregressive model serves as an important regularization term of the objective function of the optimization,and the model parameters are solved on the decoded image locally using a weighted total least square method.In addition,a novel bilateral dualside weighting scheme is proposed to minimize the influence of the blocking artifact on the accuracy of parameter estimation.Extensive experimental results suggest that the proposed algorithm systematically improves the quality of JPEG images and also outperforms existing JPEG postprocessing algorithms in a wide bit-rate range both in terms of peak signal-to-noise ratio(PSNR) and subjective
