Motivated by applications in porcelain-making companies, we consider a type of optimization problems for batch-processing operations. In production, single machine with fixed capacity is used to process jobs. Several jobs can be processed together if their total size no more than the capacity. Batch-position-based learning effects are considered because workers become skillful gradually after t...

We present the Distributed Batch Controller (DBC), a system built to support batch processing of large scientiic datasets. The DBC implements a federation of autonomous workstation pools, which may be widely-distributed. Individual batch jobs are executed using idle workstations in these pools. Input data are staged to the pool before processing begins. We describe the architecture and implemen...

We present the Distributed Batch Controller DBC a system built to support batch processing of large scienti c datasets The DBC implements a federation of autonomous workstation pools which may be widely distributed Individual batch jobs are executed using idle workstations in these pools Input data are staged to the pool before processing begins We describe the architecture and implementation o...

This paper addresses a production and outbound distribution scheduling problem in which a set of jobs have to be process on a single machine for delivery to customers or to other machines for further processing. We assume that there is a sufficient number of vehicles and the delivery costs is independent of batch size but it is dependent on each trip. In this paper, we present an Artificial Imm...

We consider the problem of minimizing the makespan(Cmax) on m identical parallel batch processing machines. The batch processing machine can process up to B jobs simultaneously. The jobs that are processed together form a batch, and all jobs in a batch start and complete at the same time. For a batch of jobs, the processing time of the batch is equal to the largest processing time among the job...

We present the Distributed Batch Controller (DBC}, a system built to support batch processing of large scienti$c datasets. The DBC implements a federation of autonomous workstation pools, which may be widely distributed. Individual batch ,jobs are executed using idle workstations in these pools. Input data are staged to the pool before processing begins. We describe the architecture and impleme...

Entity resolution is the process of matching records that refer to the same entities from one or several databases in situations where the records to be matched do not include unique entity identifiers. Matching therefore has to rely upon partially identifying information, such as names and addresses. Traditionally, entity resolution has been applied in batch-mode and on static databases. Howev...

A 3D flexible multichannel microprobe array was designed, fabricated and tested. Since each probe had several recording pads, the probe array could be used to measure neural activity at various depths in the brain. They were batch fabricated with interconnections, using a specific folding process to fold the planar probe structures. This flexible probe array was inserted into a rat’s brain with...

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...