一种基于H.264/AVC的快速帧间模式选择算法

为了解决帧间模式选择计算量大的问题,提出了一种快速算法。算法利用编码模式的利用率信息和时空相关性来预先判定当前宏块最可能的编码模式,从而大大加快了模式选择的过程。算法缩小了候选模式的范围,并采用阈值来提高预测准确度。仿真结果表明,该算法在编码质量只有轻微下降的情况下明显降低了计算复杂度。     

堤防工程设计防洪标准探讨

就＜＜堤防工程技术规范＞＞和＜＜堤防工程设计规范＞＞编制过程中的体会,笔者认为,许多部门的防护对象都有各自的防洪标准,但在堤防工程设计时,防洪标准需要统一、防护区的划分是确定堤防工程防洪标准的基础工作,需要有一套完整的计算方法;防洪标准中的防护对象不可能包罗万象,标准的拟定和运用,都有防护对象分类和类比的问题,影响堤防工程等级的因素很多,单纯用防护对象的防洪要求作为指标是片面的,国内外表达防护对象     

我国爆炸品分级标准的研究制订及特点分析

文章阐述了研究制订“爆炸品分级程序”等两项国家标准的意义,过程和标准的主要特点,并提出加快实施标准的若干建议。     

融合序列分解与Prophet模型的时序预测

传统时序预测方法其预测过程无法在相同数据集上推出共享模式, 而机器学习方法无法较好地处理非线性和大规模数据集, 并且需要手动设计特征工程. 深度学习方法弥补了传统预测方法需要高计算高人力的弊端, 用自动学习特征工程代替了手动设计特征工程. 但仅使用深度学习的预测方法所作结构假设较少, 通常需要较高的计算资源以及大量的数据来学习得到准确的模型. 针对上述问题, 本文提出通过采用融合t检验的EMD经验模态将序列分为高频分量和低频分量, 对高频分量使用传统STL序列分解方法进一步对数据做处理, 对高频、低频分量分别进行Prophet预测. 实验结果表明, 相较于传统的LSTM以及Prophet预测模型, 经过STL序列分解后的周期数据能够提升模型的整体预测精确度而融合EMD经验模态的Prophet模型则大大提升了训练效率.     

数据治理标准化发展现状与启示

全面梳理了数据治理标准化工作的发展趋势、标准化组织和典型数据治理标准,阐述了数据治理标准化的概念内涵和现有挑战;分别论述了标准化基本方法在数据治理中的应用,以及数据治理对标准化工作的支撑作用,并提出了后续工作建议。     

The use of mindmapping software for patent search and management

Modern information technologies and in particular the internet have revolutionized the patent information professionals' work in terms of speed of access and information comprehensiveness from both company internal and external digital sources. Here, I describe how the digital mindmapping technique can be used to complement existing intellectual property management software solutions to meet the challenge of optimizing and managing patent search workflows as well as to rapidly organise and access highly dynamic, heterogeneous and scattered patent information sources. Both eye catching and highly memorable and at the same time self-explanatory mindmapping examples are presented. These were designed to include basic and advanced level digital mindmapping features tailored to significantly speed up and maintain a high work quality level of patent search professionals. A special emphasis is put on the great benefit of organising and accessing the plethora of internet-based worldwide online patent registers through mindmapping, both in terms of managing the constantly changing deep links to the actual search options for e.g., legal status information, and keeping track of the offered level of content.     

On the Modelling and Monitoring of General Inflated Poisson Processes

In this work, we propose and study general inflated probability distributions that can be used for modelling and monitoring unusual count data. The considered models extend the well‐known zero‐inflated Poisson distribution because they allow the excess of values, other than zero. Four simple upper‐sided control schemes are considered for the monitoring of count data based on the proposed general inflated Poisson distributions, and their performance is evaluated under various out‐of‐control situations. The usefulness of the considered models and techniques is illustrated via two real‐data examples, while practical guidelines are provided as well. Copyright © 2015 John Wiley & Sons, Ltd.     

A short note on the effect of sample size on the estimation error in Cp

Process capability indices such as C_p are used extensively in manufacturing industries to assess processes in order to decide about purchasing. In practice, the parameter for calculating C_p is rarely known and is frequently replaced with estimates from an in-control reference sample. This article explores the optimal sample size required to achieve a desired error of estimation using absolute percentage error of different C_p estimates. Moreover, some practical tools are created to allow practitioners to find sample size in different situations.     

活塞式液体流量标准装置体积校准方法的探讨

对活塞式液体流量标准装置体积校准方法进行了研究,基于理想圆柱体模型建立了活塞装置体积模型,引入修正系数对所建立的体积模型进行修正,并利用质量守恒定律提出采用质量法对活塞装置进行体积校准.对修正系数进行赋值分析和不确定度评定,结果表明5L及以上体积的扩展不确定度优于0.05％.该方法操作简便,可控性好,结果准确可靠.