Arithmetic coding (Moffat et al.,1998; Rissanen and Langdon, 1979; Witten et al., 1987) compresses a message by encoding it as a single, high-precision number between 0 and 1.
Thus, providing high precision random numbers becomes more difficult when dealing with parallel architectures.
High precision in copy number measurements can be achieved due to the large number of droplets analysed (>10,000) for each sample [ 13].
In order to analyze with high precision such large number of samples necessary for the development of 226Ra time series, it has been proposed to develop a new analytical technology, which would be based on ICP-MS.
Improving analytical precision is a major goal in quantitative differential proteomics as high precision ensures low numbers of outliers, a source of false positives with regard to quantification.
The detection algorithm has a high precision in terms of number of detected true scratches and reduced number of false alarms.
It simultaneously achieves high recall and high precision, dramatically reducing the number of incorrectly aligned residues in comparison to other programs.
To measure this to high precision requires a large number of muons of very similar energy, and this is difficult to achieve from a muon target with conventional beam optics.
The combination of high precision and a small number of items makes this scale particularly well-suited to clinical research and epidemiological surveys.
The results for the estimation of the Mechanical Efficiency and the Load Torque for a Spark Ignition Engine exhibit high precision levels with a lower number of experiments with respect to the use of conventional strategies for selecting the training data set.
In this context, distributed estimation schemes are becoming increasingly popular, due to their high precision and scalability to large number of sensors, with no need for centralized actions, e.g., [2 4].
