Reliable Tools to Forecast Sludge Settling Behavior: Empirical Modeling

Effect of Different Parameters on Settling Properties of Activated Sludge

Network Emulation Tools for Modeling Grid Behavior

There is increasing interest in Grids that use compute, storage, and network resources in configurations involving both flexible sharing and tight-coupling. Such usage produces complex dynamics, subject to complex non-linear behavior. We believe that detailed packet level simulation is both possible and necessary forhigh fidelity grid simulations. We present the MicroGrid, a tool set which allo...

A data mining approach to forecast behavior

This study presents a data mining analysis of customer forecasting patterns of multiple customers (auto manufacturers) from a large auto parts supplier. We consider a manufacturing environment in which forecasts of future orders are used as inputs for a series of decisions. We define the complexities that are captured from our data set, developing the daily flow analysis to obtain accuracy rati...

A modified oxic-settling-anaerobic activated sludge process using gravity thickening for excess sludge reduction

Oxic-settling-anaerobic process (OSA) was known as a cost-effective way to reduce the excess sludge production with simple upgrade of conventional activated sludge process (CAS). A low oxidation-reduction potential (ORP) level was the key factor to sludge decay and lysis in the sludge holding tank of the OSA process. However, the ORP control with nitrogen purge or chemical dosing in the OSA pro...

Quantitative and Qualitative Empirical Analysis of Three Feature Modeling Tools

During the last couple of decades, feature modeling tools have played a significant role in the improvement of software productivity and quality by assisting tasks in software product line (SPL). SPL decomposes a large-scale software system in terms of their functionalities. The goal of the decomposition is to create well-structured individual software systems that can meet different users’ req...