This paper describes an expert system (ES) based decision support system (DSS), which aids the user to select feasible projects among a strategic portfolio supplied by a dynamic simulator. The purpose of developing a DSS embbeded in na ES structure, is to search for the modelling of the decision-maker rather than the decision process. Thus, the ES stores not only the expertise from engineers of...

The time-evolution of the fluorescence spectrum of a dissolved chromophore excited by an ultrafast pump pulse is considered. The average value of the energy difference of the solute in its excited and ground states is used to describe the relaxation of the maximum of the transient fluorescence spectrum to its equilibrium value ~dynamic Stokes shift, DSS!. A simple formula for the normalized DSS...

This paper addresses control design in networked control system by considering stochastic packet dropouts in the forward path of the control loop. The packet dropouts are modelled by mutually independent stochastic variables satisfying Bernoulli binary distribution. A sliding mode controller is utilized to overcome the adverse influences of stochastic packet dropouts in networked control system...

Current user-mode machine simulators typically do not support simulation of dynamic compilation, threads, or garbage collection, all of which Java Virtual Machines (JVMs) require. In this paper, we describe, evaluate, and validate Dynamic SimpleScalar (DSS). DSS is a tool that simulates Java programs running on a JVM, using just-in-time compilation, executing on a simulated multi-way issue, out...

Rangeland ecosystems shift across dynamic thresholds between differentecological states in response to natural or human-induced factors. These differentecological states are the result of interactions among climate, soils, grazing history,and management practices. The notion of a single ‘‘pristine’’ final state is onlyconceptual in nature, and because of this, dynamic thresholds and the effects...

When using the Genetic Programming (GP) Algorithm on a diicult problem with a large set of training cases, a large population size is needed and a very large number of function-tree evaluations must be carried out. This paper describes how to reduce the number of such evaluations by selecting a small subset of the training data set on which to actually carry out the GP algorithm. Three subset s...

We consider continuous-wave (CW) states and dark solitons (DSs) in a system of two fundamental-frequency (FF) and one second-harmonic (SH) waves in a planar waveguide with the quadratic [χ] nonlinearity, the FF components being linearly coupled by resonant reflections on the Bragg grating (the same model is known to support a great variety of bright solitons). We demonstrate that, in contrast w...

In this paper, we consider heterogeneous distributed storage systems (DSSs) having flexible reconstruction degree, where each node in the system has dynamic repair bandwidth and dynamic storage capacity. In particular, a data collector can reconstruct the file at time t using some arbitrary nodes in the system and for an arbitrary node failure the system can be repaired by some set of arbitrary...

Although the DSS community generally shows interest in distributed computing when building decision support systems, the use of distributed technologies often remains limited to extension services added to traditional, local DSS functionalities. In other words, distributed computing rarely change the intrinsic (and local) behavior of the DSS. In this paper, we propose new distributed decision s...

One of the substantial challenges in marketing efforts is determining optimal markets, specifically in market segmentation. The problem is more controversial in electronic commerce and electronic marketing. Consumer behaviour is influenced by different factors and thus varies in different time periods. These dynamic impacts lead to the uncertain behaviour of consumers and therefore harden the t...