This paper applies receiver operating characteristic (ROC) analysis to micro-level, monthly time series from the M3-Competition. Forecasts from competing methods were used in binary decision rules to forecast exceptionally large declines in demand. Using the partial area under the ROC curve (PAUC) criterion as a forecast accuracy measure and paired-comparison testing via bootstrapping, we find ...

This paper deals with the discrete-time infinite-horizon linear quadratic problem with indefinite cost criterion. Given a discrete-time linear system, an indefinite costfunctional and a linear subspace of the state space, we consider the problem of minimizing the costfunctional over all inputs that force the state trajectory to converge to the given subspace. We give a geometric characterizatio...

Newton-type methods for unconstrained optimization problems have been very successful when coupled with a modified Cholesky factorization to take into account the possible lack of positivedefiniteness in the Hessian matrix. In this paper we discuss the application of these methods to large problems that have a sparse Hessian matrix whose sparsity is known a priori. Quite often it is difficult, ...

Freeform surface rendering is traditionally performed by approximating the surface with polygons and then rendering the polygons This approach is extremely common because of the complexity in accurately rendering the surfaces directly Recently several papers presented methods to render surfaces as sequences of isocurves Unfortunately these methods start by assuming that an appropriate collectio...

This paper studies an appropriate pharmacokinetic (PK) model for hypnosis control based on effect-site anesthetic concentration. For maintaining hypnosis, methods to keep plasma or effect-site concentration of propofol, an anesthetic drug, calculated using PK models at a target level are often used. In order to realize a desirable hypnosis control by such methods an accurate estimation of propo...

There has recently been considerable interest in design of low-complexity, myopic, distributed and stable scheduling algorithms for constrained queueing network models that arise in the context of emerging communication networks. Here we consider two representative models. One, a queueing network model that captures randomly varying number of packets in the queues present at a collection of wir...

Fuzzy rules optimization is a crucial step in the development of a fuzzy model. A simple two inputs fuzzy model will have more than ten thousand possible combinations of fuzzy rules. A fuzzy designer normally uses intuition and trial and error method for the rules assignment. This paper is devoted to the development and implementation of genetic optimization library (GOL) to obtain the optimum ...

A comple te s o f t w a r e system f o r automat ic d r a f t i n g encoding i s desc r i bed . T h i s system decomposes t h e o r i g i n a l d r a f t i n t o a g raph i c p r i m i t i ve -based d e s c r i p t i o n , s u i t a b l e f o r subsequent CAD process ing. Problems r e l a t i v e t o t h e b ina r i z a t i o n phase and t h e symbol r e c o g n i t i o n s t e p a r e a l s o ...

One of the most important properties of cellular automata is their capacity to support propagating structures. Propagating structures are employed as signals in many CA models of computation. Treating propagating structures as automata elevates the notion of a signal to something that is a computational entity in its own right . These propagating signal-automat a are embedded in th e very "tape...

Th is paper describes the virtual assembly automation systems, as decision support systems, for the better knowledge of assembly operation. The study of this procedure is described as well as the necessity for assembly systems design. The work draws on research into product and manufacturing knowledge models, and uses a case study based on a simplified assembly line realized in Delphi programmi...