This study considers movement-based registration (MBR) with implicit registration, an improved version of original MBR. In order to obtain more accurate registration cost of the MBR, we consider real network architecture in which a mobile network is composed of visitor location registers (VLR), a group of cells. We show that, when the network architecture is considered, the location registratio...

Minimum Bayes-Risk (MBR) speech recognizers have been shown to give improvements over the conventional maximum a-posteriori probability (MAP) decoders through N-best list rescoring and A search over word lattices. Segmental MBR (SMBR) decoders simplify the implementation of MBR recognizers by segmenting the N-best lists or lattices over which the recognition is performed. We present a lattice c...

The computation of the Minimum Bayes Risk (MBR) decoding rule for word lattices needs approximations. We investigate a class of approximations where the Levenshtein alignment is approximated under the condition that competing lattice arcs overlap in time. The approximations have their origins in MBR decoding and in discriminative training. We develop modified versions and propose a new, concept...

OBJECTIVE To determine which states have laws that require the review of mandated health insurance benefits and describe the various approaches states take in reviewing mandated benefits, as stated in the mandated benefit review (MBR) laws. DATA SOURCES We queried online databases of the individual state statutes and reviewed the state statutes and state legislative agendas for all 50 states ...

The influence of sludge properties in SMEBR and conventional MBR pilot systems on membrane fouling was investigated. Generated data were analyzed using statistical analysis Pearson's product momentum correlation coefficient (r(p)). Analysis showed that TMP had strong direct (r(p)=0.9182) and inverse (r(p)=-0.9205) correlations to mean particle size diameter in MBR and SMEBR, respectively. TMP i...

Membrane Bioreactors (MBRs) have attracted a significant attention of scientists and engineers in the past two decades. Improvement of membrane technologies coupled with experiences gained from application of membranes in different industrial processes have opened a gamut of opportunities in industrial wastewater treatment. The solidliquid separation that is conventionally carried out in gravit...

Membrane bioreactor (MBR) technology is a new method for water and wastewater treatment due to its ability to produce better and high-quality effluent that meets water quality regulations. MBR also is an advanced way to displace the conventional activated sludge (CAS) process. Even this membrane gives better performances compared to CAS, it does have few drawbacks such as high maintenance cost ...

We present a Minimum Bayes Risk (MBR) decoder for statistical machine translation. The approach aims to minimize the expected loss of translation errors with regard to the BLEU score. We show that MBR decoding on N -best lists leads to an improvement of translation quality. We report the performance of the MBR decoder on four different tasks: the TCSTAR EPPS Spanish-English task 2006, the NIST ...

This study analyses the reliability of an on-site MBR system for greywater treatment and reuse. To achieve this goal simulation was performed based on the IWA ASM1 model which was adapted to describe biological and physical mechanisms for MBR greywater treatment based systems. Model results were found to agree well with experimental data from an on site pilot greywater treatment plant, after wh...