Despite recent advances, grid and P2P systems remain difficult for many users to bring to real-world applications. One difficulty is the lack of schedulers for such systems. In this work, we consider the allocations of jobs to resources using batch mode methods. These methods are able to provide fast planning by exploring characteristics of distributed and highly heterogeneous systems. In evalu...

We present two novel fluidic concepts to drastically accelerate the process of mixing in batch-mode (stopped-flow) on centrifugal microfluidic platforms. The core of our simple and robust setup exhibits a microstructured disk with a round mixing chamber rotating on a macroscopic drive unit. In the first approach, magnetic beads which are prefilled into the mixing chamber are periodically deflec...

Active learning and transfer learning are two different methodologies that address the common problem of insufficient labels. Transfer learning addresses this problem by using the knowledge gained from a related and already labeled data source, whereas active learning focuses on selecting a small set of informative samples for manual annotation. Recently, there has been much interest in develop...

Active Learning has been applied in many real world classification tasks to reduce the amount of labeled data required for training a classifier. However most of the existing active learning strategies select only a single sample for labeling by the oracle in every iteration. This results in retraining the classifier after each sample is added which is quite computationally expensive. Also many...

A shortcut procedure as quick, easy-to use method for design and simulation of multicomponent batch distillation is used to predict the operating condition of recovering xylene from solvent in an existing batch distillation column in benzol refinery. The procedure can be used to investigate the effect of the operating parameters on the operation of column for three possible modes of batch d...

Lab scale studies were conducted in a customized photobioreactor to assess the lipid productivity of Chlorella pyrenoidosa under fed-batch mode using 0.025g/l to 0.1 g/l urea and sodium nitrate as nitrogen source in nutrient medium. The light intensities used were 100 μmol ms and 135 μmol ms. The results indicated maximum lipid productivity of 0.103 g/d.l in BG11 medium with 0.1g/l sodium nitra...

This paper deals with unsupervised model adaptation for speaker recognition. Two adaptation schemes are proposed, the first one is based on a test by test model adaptation and the second one proposes a batch mode, where the adaptation is performed using a set of tests before computing the decision score for each of them. The experiments are conducted thanks to the NIST SRE 2005 database. This p...

This paper deals with unsupervised model adaptation for speaker recognition. Two adaptation schemes are proposed, the first one is based on a test by test model adaptation and the second one proposes a batch mode, where the adaptation is performed using a set of tests before computing the decision score for each of them. The experiments are conducted thanks to the NIST SRE 2005 database. This p...