This contribution presents a Quality of Experience (QoE) framework. It evaluates QoE using QoS metrics, network feedback, and dynamic user requirements, and proposes a definition for QoE. A model for experimenting within the QoE framework is presented. It is believed that a better QoE can be achieved when the QoS and its interaction with the network and application layers is considered as a who...

This work studies the effect of diffusion-weighting on the precision of measurements of the apparent diffusion coefficient (ADC, or D) by diffusion-weighted magnetic resonance imaging. The precision in the value of the ADC was described in terms of a diffusion-to-noise ratio (DNR) which was calculated as the signal-to-noise ratio in the resultant ADC. A theoretical analysis decomposed the DNR i...

Evaluating rangelands means to identify and create potential and actual rangelands in order to utilize this valuable natural resource properly. Hence, one of the important factors in rangeland management is to determine range suitability and recognize factors affecting it. Weighted Linear Combination Method (WLC) is one of the most common methods used for locating and Analytic Hierarchy Process...

This paper presents a new method for filtering noise occurring in point cloud sampled data. The method smoothes the data set whereas preserves sharp features. We propose a new weighted variant of the principal component analysis method, which instead of using exponential weighting factors inversely proportional to the Euclidean distance to the mean, which is computationally expensive, uses weig...

We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of the input dimensions according to their relevance. They are adapted automatically during training according to the specific classification task whereby training can be interpreted as stochastic gradient descent on an a...

This paper describes a novel method of rescoring that reflects tendencies of errors in word hypotheses in speech recognition for transcribing broadcast news, including ill-trained spontaneous speech. The proposed rescoring assigns penalties to sentence hypotheses according to the recognition error tendencies in the training lattices themselves using a set of weighting factors for feature functi...

In June 2007, the United States Department of Energy incorporated revised values of neutron weighting factors into its occupational radiation protection regulation Title 10, Code of Federal Regulations Part 835, as part of updating its radiation dosimetry system. This has led to a reassessment of neutron radiation fields at high energy accelerators such as those at the Fermi National Accelerato...