In this paper, optimal training design and placement are studied for channel estimation in a frequency selective, single relay, amplify and forward cooperative system. Using a twophase transmission protocol, the power distribution between the phases, among the pilot tones as well as the positioning of pilot tones within the transmitted OFDM symbols are examined. The LMMSE and two variants of th...

This paper introduces an electronic report submission system that helps effective learning of algorithms and programming. It proposes a three-phase reviewing system that involves self-reviewing of algorithms, self-reviewing of programs and staff reviewing. This is an improvement of our existing twophase reviewing system that only supports the latter two phases. In the additional phase for algor...

We consider a standard sharp interface model for the fluid dynamics in a twophase incompressible flow, combined with a convection-diffusion model for solute transport. Some important numerical challenges related to these models are discussed. We present a finite element discretization method for the solute transport model. The method is based on an Eulerian approach, i.e. computational grids ar...

We introduce a tableau calculus for a nonmonotonic extension of low complexity Description Logic EL that can be used to reason about typicality and defeasible properties. The calculus deals with Left Local knowledge bases in the logic EL⊥Tmin recently introduced in [8] . The calculus performs a twophase computation to check whether a query is minimally entailed from the initial knowledge base. ...

We present a nonlinear model predictive framework for closedloop control of two-phase flows governed by the Cahn-Hilliard NavierStokes system. We adapt the concept for instantaneous control from [6, 12, 16] to construct distributed closed-loop control strategies for twophase flows. It is well known that distributed instantaneous control is able to stabilize the Burger’s equation [16] and also t...

In this paper, we address the problem of web-domain POS tagging using a twophase approach. The first phase learns representations that capture regularities underlying web text. The representation is integrated as features into a neural network that serves as a scorer for an easy-first POS tagger. Parameters of the neural network are trained using guided learning in the second phase. Experiment ...

We consider the situation where parts from suppliers have to be picked up by a capacitated vehicle for an assembly plant that faces stochastic demand. We propose a twophase heuristic to calculate “good” base stock policies for the stochastic inbound inventory routing problem. In this paper, we calculate multiple performance measures for the results obtained from the analytical model. The result...

The calculation of Hamiltonian Circuits is an NP -complete task. This paper uses slightly modified complete sets of Hamiltonian circuits for the classification of documents. The known solution method is based on a SAT-instance with a huge number of clauses which is flattening the knowledge about the problem. We suggest an even more compact model of Boolean equations that preserves the knowledge...