Kvalitetssäkring av Clas Ohlson AB´s grafiska produktionsflöde

The question formulation in the essay brought up whether Clas Ohlson works today with their graphical productionflow and if that way of working leads to a desirable result in press. After a dialogue with Clas Ohlson it emerged thatthey had certain problems with the material that came out of the printing presses. Certain colours were not reproducedaccording to the stated values that had been developed. In March -08 an analysis of the graphical production flowspresent situation were done at Clas Ohlsons in order to find out how they worked with their production of print materials.In the analysis, their way to work with color spaces, displays, ICC-profiles, PDF-exports, pictures and printerswere examined. Occasional interviews were also implemented with responsible personnel about how they worked withdifferent aspects.Deficiencies were found on almost all examined parts in their graphical production flow. Wrong colorspaces andCMYK-profiles was used in big extent, the displays where uncalibrated or incorrectly calibrated, wrong PDF-presetswas used frequently and it also showed that six different suppliers for their printing materials were used. The solutionsthat were relevant for the problems and defects were later on presented as proposals on measures.

Sequential split vector quantization of LSF parameters using conditional PDF

A better performing product code vector quantization (VQ) method is proposed for coding the line spectrum frequency (LSF) parameters; the method is referred to as sequential split vector quantization (SeSVQ). The split sub-vectors of the full LSF vector are quantized in sequence and thus uses conditional distribution derived from the previous quantized sub-vectors. Unlike the traditional split vector quantization (SVQ) method, SeSVQ exploits the inter sub-vector correlation and thus provides improved rate-distortion performance, but at the expense of higher memory. We investigate the quantization performance of SeSVQ over traditional SVQ and transform domain split VQ (TrSVQ) methods. Compared to SVQ, SeSVQ saves 1 bit and nearly 3 bits, for telephone-band and wide-band speech coding applications respectively.

Paleoambiente y antropización en los Pirineos de Navarra durante el Holoceno medio (VI-IV PDF milenios cal. BC): Una perspectiva palinológica

Homenaje a Ignacio Barandiarán Maestu / coord. por Javier Fernández Eraso, Juan Santos Yanguas

A presumed joint pdf model for turbulent combustion with varying equivalence ratio

Modeling of the joint probability density function of the mixture fraction and progress variable with a given covariance value is studied. This modeling is validated using experimental and direct numerical simulation (DNS) data. A very good agreement with experimental data of turbulent stratified flames and DNS data of a lifted hydrogen jet flame is obtained. The effect of using this joint pdf modeling to calculate the mean reaction rate with a flamelet closure in Reynolds averaged Navier-Stokes (RANS) calculation of stratified flames is studied. The covariance effect is observed to be large within the flame brush. The results obtained from RANS calculations using this modeling for stratified jet- and rod-stabilized V-flames are discussed and compared to the measurements as a posteriori validation for the joint probability density function model with the flamelet closure. The agreement between the computed and measured values of flame and turbulence quantities is found to be good. © 2012 Copyright Taylor and Francis Group, LLC.

U3D文件在PDF中的应用及其C++编程实现

在探讨PDF文件格式的基础上,提出了一种通用三维(简称U3D)文件格式嵌入到PDF文件中的方法。这种方法具有可扩展性,对于如何在其他文件中支持U3D文件格式的应用研究也具有一定的参考价值。最后,还通过C++编程实现了在PDF文件中嵌入3D作品,并允许用户交互地观看显示效果。

JPEG Image Steganalysis Using Multivariate PDF Estimates With MRF Cliques

Blind steganalysis of JPEG images is addressed by modeling the correlations among the DCT coefficients using K -variate (K = 2) p.d.f. estimates (p.d.f.s) constructed by means of Markov random field (MRF) cliques. The reasoning of using high variate p.d.f.s together with MRF cliques for image steganalysis is explained via a classical detection problem. Although our approach has many improvements over the current state-of-the-art, it suffers from the high dimensionality and the sparseness of the high variate p.d.f.s. The dimensionality problem as well as the sparseness problem are solved heuristically by means of dimensionality reduction and feature selection algorithms. The detection accuracy of the proposed method(s) is evaluated over Memon's (30.000 images) and Goljan's (1912 images) image sets. It is shown that practically applicable steganalysis systems are possible with a suitable dimensionality reduction technique and these systems can provide, in general, improved detection accuracy over the current state-of-the-art. Experimental results also justify this assertion.

Impact Assessment 2005/06 (PDF 286 KB)

Section 75 analysis of Suicide and Self-harm in Northern Ireland