Reconfigured Piecewise Linear Regression Tree for Multistage Manufacturing Process Control Ran Jin and Jianjun Shi H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, 765 Ferst Drive NW, Atlanta, GA 30332, USA, E-mail: [email protected] Abstract In a multistage manufacturing process, massive observational data are obtained from the measurem...

A novel space-time adaptive near-far robust code-synchronization array detector for asynchronous DS-CDMA systems is developed in this paper. There are the same basic requirements that are needed by the conventional matched filter of an asynchronous DS-CDMA system. For the real-time applicability, a computationally efficient architecture of the proposed detector is developed that is based on the...

Two multistaged anaerobic digestion systems, a four-stage thermophilic anaerobic digestion (4TAD), all at 55°C, and a four-stage anaerobic digestion with a tapered temperature configuration (4ADT) at 55, 49, 43, and 37°C, respectively, were studied to evaluate their solids, volatile organic sulfur compounds, and indicator organism (E. coli and fecal coliform) reduction potentials. The 4TAD syst...

Assembly of functional nanocomponents offers promising applications in drug delivery to solid tumors and bottom-up synthesis and integration of nanodevices. This thesis presents a novel multistage nanoparticle delivery system consisting of an assembly of nanoparticles that can change its size to facilitate transport into solid tumors. Current FDA-approved nanotherapeutics, which function based ...

In this article we review the Adomian decomposition method (ADM) and its modifications including different modified and parametrized recursion schemes, the multistage ADM for initial value problems as well as the multistage ADM for boundary value problems, new developments of the method and its applications to linear or nonlinear and ordinary or partial differential equations, including fractio...

1 JITKA DUPAČOVÁ The paper gives a brief introduction into the problems of multistage stochastic program­ ming with emphasis on the modeling issues (Section 2) and on the contemporary numerical advances (Section 3). Extensive classified bibliography is contained in the last Section.

The recall of information stored in the hippocampus involves a series of corticocortical backprojections via the entorhinal cortex, parahippocampal gyrus, and one or more neocortical stages. Each stage is considered to be a pattern association network, with the retrieval cue at each stage the firing of neurons in the previous stage. The leading factor that determines the capacity of this multis...

In this work we present explicit definitions for the sample complexity associated with the Sample Average Approximation (SAA) Method for instances and classes of multistage stochastic optimization problems. For such, we follow the same notion firstly considered in Kleywegt et al. (2001). We define the complexity for an arbitrary class of problems by considering its worst case behavior, as it is...

In this work we present explicit definitions for the sample complexity associated with the Sample Average Approximation (SAA) Method for instances and classes of multistage stochastic optimization problems. For such, we follow the same notion firstly considered in Kleywegt et al. (2001). We define the sample complexity for an arbitrary class of problems by considering its worst case behavior, a...