Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled data, such algorithms automatically select the salient and representative samples for manual annotation. Batch mode active learning schemes have been recently proposed to select a batch of data instances simultaneously, ra...

We examine key convergence properties of the steady-state simulation analysis method of nonoverlapping batch means (NOBM) when it is applied to a stationary, phi-mixing process. For an increasing batch size and a fixed batch count, we show that the standardized vector of batch means converges in distribution to a vector of independent standard normal variates—a well-known result underlying the ...

The focus of this work is to revise for semi-batch and continuous operations, the model equations of a seeded batch cooling crystallisation of α-lactose monohydrate. A case study of evaporative semi-batch operation is also included for reference as models of cooling and heating are not much different. In order to achieve the highest yield, dynamic optimisations must be performed on these models...

Control of batch processors is one of the most important issues in semiconductor manufacturing. Ineffective dispatching policies may cause an increase in overall cycle time. This paper presents a real-time scheduling heuristic for a production unit consisting of a serial processor feeding a batch processor. In this multiple product batching problem, our objective is to reduce the average waitin...

We introduce the batch sequencing problem (BSP) with item and batch availability for the singlemachine and two-machine ow-shop case. We propose a genetic algorithm which solves the BSP through a decomposition into a Phase I-Batching and a Phase II-Scheduling decision. The batch sequencing problem is closely related to the discrete lotsizing and scheduling problem (DLSP). Computational experienc...

Batch signature verification detects whether a batch of signatures contains any forgeries. Batch forgery identification pinpoints the location of each forgery. Existing forgery-identification schemes vary in their strategies for selecting subbatches to verify (individual checks, binary search, combinatorial designs, etc.) and in their strategies for verifying subbatches. This paper exploits syn...

We now describe the architecture of the networks used in the paper. We use exponential linear unit (elu) [1] as activation function. We also use virtual batch normalization [6], where the reference batch size bref is equal to the batch size used for stochastic gradient descent. We weight the reference batch with bref bref+1 . We define some shorthands for the basic components used in the networks.

Various transportation services exist, such as ride-sharing or shared taxis, in which customers receive a batch of flexible sizes and share fees. In this study, we conducted an equilibrium analysis variable service model who observe no waiting incomplete can strategically select size to maximize the individual utilities. We formulated three-dimensional Markov chain created book-type transition ...

We examined the combined effects of prerigor and postrigor batter mixtures on protein gelation. The postrigor batter was prepared with 2% salt, whereas the prerigor meat at 5 min postmortem was used to prepare postrigor batters at different salt levels. For 5 treatments, prerigor batters were mixed with postrigor batter that had 2% salt (control) as follows: T1: ground presalted (1%) hot-boned ...

BACKGROUND Enzymatic hydrolysis, the rate limiting step in the process development for biofuel, is always hampered by its low sugar concentration. High solid enzymatic saccharification could solve this problem but has several other drawbacks such as low rate of reaction. In the present study we have attempted to enhance the concentration of sugars in enzymatic hydrolysate of delignified Prosopi...