Photoshop中校正色偏的几种方法

平面设计人员、网页制作人员以及印前处理人员要经常接触到大量的图片处理工作,而图像色偏又是普遍存在的问题,如何在Photoshop中解决这一问题,对许多非专业人员以及入门人员来说确实是一个头疼的事情.为此,本文特意将Photoshop中校正色偏的几种方法归纳总结一下,以飨读者.     

数字式补漏白工作流程综述

在所有印前解决方案中,无论是CTF(计算机到胶片)、CTP(计算机到印版),还是CTPrint(计算机到印刷),数字式数据交换都是它们的共性.胶片作为数据交换形式的全盛时期已经过去,如何处理"数字式数据"就成为工作过程中的一个核心问题.     

过程性考核中VLOOKUP函数在数据匹配方面的应用

在不断强化过程性考核的《计算机文化基础》网络学习课程开发与应用研究中,如何将不同EXCEL工作表中的数据进行有效匹配解决实际问题,是很多学生在学习过程中感到棘手的。本文基于EXCEL数据处理软件,介绍不断强化过程性考核的《计算机文化基础》网络学习课程开发与应用研究中,利用VLOOKUP函数在数据匹配中遇到的问题,并给出对策分析,提供解决方法,对学习工作中的数据处理有一定的实用价值和参考性。     

提高啤酒包装线效率的管理手段

我们通常用线效率这一指标来考核啤酒灌装设备的运行状态。如何提高啤酒灌装生产线效率,即如何提高产量,是企业能否充分挖掘生产能力,合理利用企业资源,组织起有效生产活动的标志,也体现了企业的管理水平。我们运用计算机来处理生产过程中所收集的有关数据,通过对啤酒灌装过程进行详细的分析,了解生产过程中各种因素的影响,就可以有的放矢地去处理一些问题,最大限度地发挥现有设备的效率。     

UNISET下轮转印刷机套色技术分析

在UNISET轮转印刷机印刷过程中,经常出现印刷套色不准的问题.这一问题使许多专业技术人员感到棘手,要解决,困难重重.     

试论视听资料中录音取证要素及相关方法

民警执法过程中如何正确使用执法记录仪等常用录音器材,对采集到的录音数据针对不同的任务和目的如何正确使用,录制语音中产生噪音的原因,以及在复杂环境下录制的语音如何处理,如何最大程度使语音数据发挥侦查线索和审判证据的要素作用,文章就上述问题展开探讨。     

餐厅食品卫生投诉的处理

餐厅在经营过程中难免会遇到各种各样的投诉，这其中又以食品卫生方面的投诉最为典型。顾客打电话投诉到餐厅就餐后感到身体不适，恐怕无论多高档的餐厅都曾经遇到同样的问题。对于该类投诉，如果处理得好，则皆大欢喜，甚至是塞翁失马，赢得顾客更深的信赖和认可；而处理不好，则可能损害商誉，造成负面的社会影响。一个苦心经营多年的餐厅，因为一件处理不当的卫生事件而名誉扫地，这样的例子在餐饮行业并不少见。那么如何正确处理顾客关于食品卫生方面的投诉，则是考验一个餐厅的经营管理水平和危机处理能力的重要指标。     

高宝:以创新技术促个性印刷发展之路

随着国内印刷品市场的迅猛发展,尤其是胶印领域近几年各种新设备的大量引进,使得目前国内印刷企业之间的竞争愈演愈烈,各个印刷企业无不感到来自各个方面的巨大压力,如设备的投入产出比问题、印刷成本的控制问题、印刷技术工艺的问题、产品的个性化问题等等,这些都是印刷企业在现有急剧的竞争中必须解决从而获得持续发展的重大课题.而作为印刷设备供货商,如何帮助印刷企业摆脱目前的困境,寻找别于他人的个性发展之路也就成为其必须解决的首要问题,谁在这方面做得好、做得成功,谁就可以赢得客户.     

大数据时代下的计算机信息处理技术研究

随着社会的不断发展和进步,计算机信息技术在社会中得到广泛的普及和应用,并在社会应用广泛性不断提升的过程中促使着海量信息的出现。面对庞大而复杂的信息,如何做到有效而正确的处理对数据作用的发挥非常重要,而这一功能实现还需加强计算机信息处理的能力,扩大计算机信息处理技术的应用。基于此,文章从大数据时代的相关概念和时代特点出发,对这一数据时代下计算机信息处理中所涉及的技术进行了分析和探究。     

应用Excel处理标准测力仪计量检定数据

标准测力仪检定数据的处理是一项繁琐的工作,利用Excel来实现计量结果数据的自动处理,可以大大简少检定人员在数据处理过程中消耗的时间。通过一例给出了如何利用Excel来实现标准测力仪检定数据的自动处理。     

Semantic annotation of Web data applied to risk in food

A preliminary step to risk in food assessment is the gathering of experimental data. In the framework of the Sym'Previus project (http://www.symprevius.org), a complete data integration system has been designed, grouping data provided by industrial partners and data extracted from papers published in the main scientific journals of the domain. Those data have been classified by means of a predefined vocabulary, called ontology. Our aim is to complement the database with data extracted from the Web. In the framework of the WebContent project (www.webcontent.fr), we have designed a semi-automatic acquisition tool, called @WEB, which retrieves scientific documents from the Web. During the @WEB process, data tables are extracted from the documents and then annotated with the ontology. We focus on the data tables as they contain, in general, a synthesis of data published in the documents. In this paper, we explain how the columns of the data tables are automatically annotated with data types of the ontology and how the relations represented by the table are recognised. We also give the results of our experimentation to assess the quality of such an annotation.     

Optimal data use in staple yarn manufacturing

The contemporary cotton spinning mill is home to modern machinery capable of generating a plethora of data. This data comes in the form of online data, which is real-time data created by the processing machinery, and offline data, which is created via laboratory testing of samples. This paper describes a study which applied statistical techniques to the two data sets. One came from an actual open-end spinning plant. The other was created in a laboratory environment. This analysis served to discover trends within this data sample and to determine the optimal data use for the cotton spinning industry. In addition, the paper presents a perspective into the current state of data management in the cotton spinning industry obtained by visiting an assortment of active spinning mills.     

一个新的数据挖掘模型与算法

在数据挖掘中,规模巨大的候选模式是约束系统性能的瓶颈,为解决该问题,提出了一个新的数据挖掘结构FP-tree及相应的构造算法FP-growth,实验测试证明,利用FP-growth算法可以发现FP-tree中所有的强模式,此外,与Aprior算法相比,该算法性能稳定,具有较高的运行效率,为数据挖掘技术的实现提出了一种新的思路。     

两步法快速复原噪声模糊图像

本文提出了一种两步复原法,以用于复原被脉冲噪声干扰的模糊图像。第一步,对离群点进行识别,即那些疑似被脉冲噪声损坏的像素,并将剩余的像素视为基本非离群点。第二步,基于非离群像素,利用变分法对图像进行去模糊和去噪声。实验结果显示,使用该方法复原后图像的峰值信噪比dB值较采用典型变分法有所提高。     

基于MatLab的经编机钩针凸轮轮廓曲线反求设计

为设计并制造磨损的经编机钩针凸轮的替代品,提出一种新的反求设计方法,即利用三坐标测量仪测得磨损凸轮轮廓线上各点数据,在MatLab中将所采集的数据进行曲线绘制,通过进一步修正曲线,对数据进行重新筛选后,利用MatLab对新数据进行三次样条插值,再借助Excel将插值后的数据导入AutoCAD中生成可编辑的凸轮轮廓曲线,为数控编程提供依据。实际运行结果表明,由该方法加工出的凸轮满足生产工艺要求,振动小,噪音低,这种方法可为类似凸轮设计提供借鉴。     

Experimental approaches for the estimation of uncertainty in analysis of trace inorganic contaminants in foodstuffs by ICP-MS

Total Diet Studies to estimate dietary exposure to food contaminants need to evaluate laboratory measurements data variance. In this process it is critical that data from analytical methods are reliable to correctly scrutinize and compare values over time and between countries. In Europe it is widely recognized that the evaluation of measurement uncertainty is an important parameter when assessing the sources of analytical data variability. Two approaches are considered to estimate uncertainty in analytical measurement. Arsenic, Lead, Chromium and Cadmium, content in several food matrix determined by Inductively Coupled Mass Spectrometry (ICP-MS) microwave digestion assisted, are used as examples. The aim of the present research work is to compare both approaches accepted by Eurolab and GUM: Mathematical modeling to assess uncertainty components based on a classical model (bottom up) and an empirical method (top down), based on either experimental data obtained from a single laboratory validation data or inter-laboratory data from Proficiency Testing schemes. Relative expanded uncertainty calculated by both approaches agree when U (%) <20%. These values are concordant with RSD_R reported in collaborative studies of EN 15763 (2009), which were assumed as target uncertainty. The top down approach described is simple and easy to use when compared with the mathematical modeling approach providing considerable benefits to those who assess data produced by several laboratories.     

Graphical tools for comparative genome analysis

Visualization of data is important for many data-rich disciplines. In biology, where data sets are becoming larger and more complex, graphical analysis is felt to be ever more pertinent. Although some patterns and trends in data sets may only be determined by sophisticated computational analysis, viewing data by eye can provide us with an extraordinary amount of information in an instant. Recent advances in bioinformatic technologies allow us to link graphical tools to data sources with ease, so we can visualize our data sets dynamically. Here, an overview of graphical software tools for comparative genome analysis is given, showing that a range of simple tools can provide us with a powerful view of the differences and similarities between genomes.     

非参数回归模型变点两步估计法及实证分析

针对非参数回归模型变点问题,给出了变点的两步估计方法.第一步,用局部线性方法给出变点的初始估计量;第二步,在初始估计量的邻域内,用CUSUM方法给出变点的最终估计量,同时获得了变点跃度的估计量.蒙特卡罗随机模拟结果表明了此方法的有效性.最后以尼罗河流量数据,美元兑换人民币汇率数据以及北半球月平均气温数据为例进行分析,结果说明此方法有实际应用价值.     

纺织品色彩管理色表测量数据的误差优化

针对目前纺织品色彩管理中,测量误差引起呈色规律跳变和反演等问题,提出一种基于多方向的曲线拟合算法,并结合每一方向曲线对应的权重系数,对测量数据中误差过大的坏点进行优化。通过客观评价和主观评价对该优化方法的应用效果进行分析。结果表明:多方向曲线拟合优化算法对误差大的数据优化显著,对其他正常数据影响小,且可有效降低色表测量数据误差带来的影响,优化后生成的国际色彩联盟(ICC)色彩特性文件整体平均色差降低12.30%,难打色平均色差降低16.67%,中性灰色平均色差降低16.74%;在软打样过程中,优化后生成的ICC色彩特性文件的打样色差也小于优化前的色差。