This paper investigates several feature normalization techniques for use in an i-vector speaker verification system based on a mixture probabilistic linear discriminant analysis (PLDA) model. The objective of the feature normalization technique is to compensate for the effects of environmental mismatch. Here, we study short-time Gaussianization (STG), short-time mean and variance normalization ...

In this work we apply the timing veriication tool OpenKronos, which is based on timed automata, to verify correctness of numerous asynchronous circuits. The desired behavior of these circuits is speciied in terms of signal transition graphs (STG) and we check whether the synthesized circuits behave correctly under the assumption that the inputs satisfy the STG conventions and that the gate dela...

The resurrection approach is a powerful tool for estimating phenotypic evolution in response to global change. Ancestral generations, revived from dormant propagules, are grown side by side with descendent generations in the same environment. Phenotypic differences between the generations can be attributed to genetic change over time. Project Baseline was established to capitalize on this poten...

Today’s market includes a penetrating segment commonly known as Generation X. This controversially complex cohort promises to give marketers a run for their money. Disagreement surrounding the segment is vast, encompassing everything from attitudes to more complex issues of their consumer attributes. Are they self-centered, demanding brats or savvy, welleducated individuals? In general, Generat...

This article reports key findings from the first phase of a research project investigating Net generation age students as they encounter e-learning at five universities in England. We take a critical view of the idea of a distinct generation which has been described using various terms including Net generation and Digital Natives and explore age related differences amongst first year university...

Although most genetic estimates of contemporary effective population size (Ne) are based on models that assume Ne is constant, in real populations Ne changes (often dramatically) over time, and estimates (Ne) will be influenced by Ne in specific generations. In such cases, it is important to properly match Ne to the appropriate time periods (for example, in computing Ne/N ratios). Here I consid...

Our purpose is theoretical analysis of behavior of Evolutionary Algorithms using real{ valued chromosomes by focusing on the change of probability distribution of chromosomes in an in nite population. This paper deals with cases that some loci and the others are stochastically independent each other, and provide some conditions for EAs to maintain the independence. Moreover, we apply these resu...