The naive credal classifier (NCC) extends naive Bayes classifier (NBC) to imprecise probabilities to robustly deal with the specification of the prior; NCC models a state of ignorance by using a set of priors, which is formalized by Walley’s Imprecise Dirichlet Model (IDM). NCC has been shown to return more robust classification than NBC. However, there are particular situations (which we preci...

Intelligent Transportation Systems (ITS) applications require a thorough understanding of drivers' route choice behavior in a complex network under real-time information. The purpose of this paper is to describe and model driver route choice behavior in a road network based on real time traffic information at the disaggregate individual level and from a psychological decision-making process per...

Cognitive autonomous networks imply that will independently derive and execute intelligent decisions, thereby elevating the human operator's role to a higher level of abstraction. At level, operator only specifies desired outcomes, called intents, which must then be supported by corresponding intent-driven capabilities in network or its management functions. Although, Intent-Driven Management (...

This paper seeks to apply Identity Management (IDM) principles to the social grant distribution process in South Africa, which has been prone to fraud and corruption. It discusses the social grant distribution process and the problems encountered. Suggested solutions to the problems are highlighted and these include moving from an Isolated IDM architecture to either a Federated and/or Centralis...

This paper considers some permutation flow shop scheduling problems with a learning effect on no-idle dominant machines. The objective is to minimize maximum completion time. This objective is considered under following dominant machines constraint: idm, ddm, idm–ddm and ddm–idm. We present a polynomial-time solution algorithm for each of the above cases. 2006 Elsevier Inc. All rights reserved.

The recent decades have witnessed a fast rising number of motor vehicles. As a result traffic becomes more congested and streets become more risky. Temptations of widely varied communication and entertainment applications even make drivers more over-burdened and distracted. To relieve the continually increasing stress of drivers and reduce the number of accidents, current intelligent vehicle re...

Background: Despite significantly increased input from multidisciplinary teams during antenatal period, pregnancy outcome from women with type 1, type 2 and gestational diabetes mellitus (DM) remain substantially worse than that of general obstetric population. In Iraq, the true magnitude of infant of diabetic mother (IDM) is not well known as health system has been badly eroded over the period...

From April 2004 to March 2007, a research project entitled “Situation and Intent Recognition for Risk Finding and Avoidance” was conducted. This project includes the following research topics: (i) estimation of driver’s state, (ii) driver behavior modeling, (iii) intelligent information processing methods for situation recognition and visual enhancement. This paper introduces several researches...

We present the interface diffraction method (IDM), an efficient technique to determine the response of planar photonic crystal waveguides and couplers containing arbitrary defects. Field profiles in separate regions of a structure are represented through two contrasting approaches: the plane wave expansion method in the cladding and a scattering matrix method in the core. These results are comb...