Commonly, routing in sensor networks is limited to longterm stable links. Unstable links, although often promising to be of large routing progress, are not considered for packet forwarding as link estimators typically cannot handle their dynamics. In this paper we introduce short-term link estimation to capture link dynamics at a high resolution in time and to identify when these render a link ...

The automatic estimation of machine translation (MT) output quality is a hard task in which the selection of the appropriate algorithm and the most predictive features over reasonably sized training sets plays a crucial role. When moving from controlled lab evaluations to real-life scenarios the task becomes even harder. For current MT quality estimation (QE) systems, additional complexity come...

The feasibility of and the necessity for an objective estimate of the psycho physiological perception of sound after compression are discussed. Some possible methods are studied. The preferable method is the consonance method. The essential principles of this method are offered algorithm of human auditory system and musical theory. The method and measurements results are discussed. Key-Words:re...

In the paper authors discuss the quality estimation of assembly line balancing problem. Task are assigned to workstations and the calculated measures show the quality of the final results. Because even optimal solutions contain idle times, the estimation of quality of end results is very important. In the literature we can find different measures but the most useful are: line efficiency, smooth...

Machine Translation (MT) Quality Estimation (QE) aims to automatically measure the quality of MT system output without reference translations. In spite of the progress achieved in recent years, current MT QE systems are not capable of dealing with data coming from different train/test distributions or domains, and scenarios in which training data is scarce. We investigate different multitask le...

In this paper we present a system that automatically estimates the quality of machine translated segments of e-commerce data without relying on reference translations. Such approach can be used to estimate the quality of machine translated text in scenarios in which references are not available. Quality estimation (QE) can be applied to select translations to be postedited, choose the best tran...

A very important problem in fade countermeasure systems is the need to detect signal quality quickly and accurately. In fact, the countermeasure has to be initiated before the signal degradation effect on the bit error rate is detected by the user. This paper presents an overview of different methods to evaluate signal quality, which are based on the availability of soft quantized levels of PSK...

This paper describes a practical method for image quality estimation. In particular, this method applies to SEM images of VLSI wafers. Wafers are extremely sensitive to electron charging, since they may contain nonconducting materials. This forces utilization of low energy, low-current electron beams and short viewing times. The images generated under these SEM settings are noisy. An automatic ...

Quality Estimation (QE) predicts the quality of machine translation output without the need for a reference translation. This quality can be defined differently based on the task at hand. In an attempt to focus further on the adequacy and informativeness of translations, we integrate features of semantic similarity into QuEst, a framework for QE feature extraction. By using methods previously e...

Quality of Experience (QoE) is a promising method to take into account the users' needs in designing, monitoring and managing networks. However, there is a challenge in finding a quick and simple way to estimate the QoE due to the diversity of needs, habits and customs. We propose a new empirical method to approximate it automatically from passive network measurements and we compare its pros an...