Title of dissertation: Pig Squeal: Bridging Batch and Stream Processing Using Incremental Updates James Holmes Lampton, Jr., Doctor of Philosophy, 2015 Dissertation directed by: Professor Ashok Agrawala Department of Computer Science As developers shift from batch MapReduce to stream processing for better latency, they are faced with the dilemma of changing tools and maintaining multiple code b...

In this study, the potential of four different culture selection methods under short-term enrichment time (STE) to accumulate PHA-producing bacteria in mixed activated sludge was compared and the most efficient culture selection method was introduced. This means, PHA-producing microbial community was firstly enriched in a sequencing batch bioreactor (SBR) with four different selection methods i...

Isotope fractionation is a promising tool for quantifying methane oxidation in landfill cover soils. For good quantification an accurate determination of the isotope fractionation factor (alpha) of methane oxidation based on independent batch experiments with soil samples from the landfill cover is required. Most studies so far used data analysis methods based on approximations of the Rayleigh ...

We present online learning techniques for statistical machine translation (SMT). The availability of large training data sets that grow constantly over time is becoming more and more frequent in the field of SMT—for example, in the context of translation agencies or the daily translation of government proceedings. When new knowledge is to be incorporated in the SMT models, the use of batch lear...

This paper reviews statistical methods for analyzing output data from computer simulations. First, it focuses on the estimation of steady-state system parameters. The estimation techniques include the replication/deletion approach, the regenerative method, the batch means method, and methods based on standardized time series. Second, it reviews recent statistical procedures to find the best sys...

This paper reviews statistical methods for analyzing output data from computer simulations of single systems. In particular, it focuses on the estimation of steady-state system parameters. The estimation techniques include the replication/deletion approach, the regenerative method, the batch means method, and the standardized time series method.

An efficient approach to implement dynamic batch means estimators in simulation output analysis Mingchang Chih and Wheyming Tina Song* System Development Center, Chung-Shan Institute of Science and Technology, Lungtan Township, Taoyuan, Taiwan 32546, Republic of China; Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan 30013, Republic...

This paper is concerned with the problem of allocating a fixed number of trials between K independent populations from the exponential family, in order to estimate a linear combination of the means wth squared error loss. Introducing independent conjugate priors, a batch sequential procedure is proposed and compared wth the opnmal.

Performance of Skart: A Skewnessand Autoregression-Adjusted Batch-Means Procedure for Simulation Analysis Ali Tafazzoli, James R. Wilson Edward P. Fitts Department of Industrial and Systems Engineering, North Carolina State University, Campus Box 7906, Raleigh, North Carolina 27695-7906, USA, {[email protected], [email protected]} Emily K. Lada SAS Institute, 100 SAS Campus Drive, Cary, North Car...