Organizations often have to deal with large collections of business process models and compliance rules. Particular challenges in this context are compliance checks, consistency checks, and the maintenance of the process and rule repositories. In case that a-priory knowledge about dependencies within the process base and the rule base is not available, compliance checking must be performed by v...

This paper focuses on the integration of passive and active network monitoring techniques in Grid systems. We propose a number of performance metrics for assessing the quality of the connectivity, and describe the required measurement methods for obtaining these metrics. Furthermore, the issue of efficiently representing and publishing the measured values is considered. We show that it is impor...

An analysis of traveling wave solutions of partial differential equation (PDE) systems with cross-diffusion is presented. The systems under study fall in a general class of the classical Keller-Segel models to describe chemotaxis. The analysis is conducted using the theory of the phase plane analysis of the corresponding wave systems without a priory restrictions on the boundary conditions of t...

productivity shocks are one of the most important factors that influence the firms ‘ decisions on he optimal consumption of production inputs. unobservable productivity shocks create selection and simultaneity problems causing biased estimates of production function by ordinary least squares. however, to estimate coefficients associated with production function by levinsohn and petrin technique...

An efficient genetic reinforcement learning algorithm for designing Fuzzy Inference System (FIS) with out any priory knowledge is proposed in this paper. Reinforcement learning using Fuzzy Q-Learning (FQL) is applied to select the consequent action values of a fuzzy inference system, in this method, the consequent value is selected from a predefined value set which is kept unchanged during lear...

Increasingly, organizations are looking to employ Social Technology (ST) to enhance their capability with Business Process Improvement (BPI). However, little is known about how the characteristics or qualities of ST actually influence an organizations' capability at Business Process Improvement (BPI). This paper discusses the potential role of ST in process improvement by presenting an a-priory...

Vision is a crucial sensor. It provides a very rich collection of information about our environment. The difficulty in vision arises, since this information is not obvious in the image, it has to be constructed. Wheres earlier approaches have favored a bottom-up approach, which maps the image onto an internal representation of the world, more recent approaches search for alternatives and develo...

We explore the utility of individually selected modulation spectral features for speech and speaker characterization in general, and specifically to prediction of the perceived speaker personality profile. We suggest a method of construction of a sparse feature space and a method of finding the approximately best feature subset for attributing a specific characteristic of speech or speaker. The...

When studying a prevalent outcome, it is often of interest to estimate the prevalence ratio instead of the odds ratio. In SAS one can use PROC GENMOD with the binomial distribution and the log link function. Unlike the logistic model, the log-binomial model places restrictions on the parameter space, and the maximum likelihood estimate (MLE) might occur on the boundary of the parameter space, i...