Inequalities in the access to and use of information and communication technologies (ICT) have become an important area of concern for over a decade. Yet, theoretical attempts to understand the dynamics behind shaping these inequalities are scarce. This study draws upon the extent literature on ‘digital divide’ and explains how four different access gaps (motivational, material, skills and usag...

Uncertainties in the decision making of reliability centered maintenance (RCM) are discussed. These uncertainties might be unacceptable in many practical applications, leading to non-optimum maintenance strategies. An alternative approach, opening for speci®ed uncertainties is shown to correct this defect. Exemplifying the approach, a simple ®re detection system is discussed. q 2001 Elsevier Sc...

The present context of the electric industry, characterized by competitive markets, privatization, and regulatory of technical requirements forces the power utilities to optimize their asset management practices and develop the requisite decision plans techno-economically. Practically approaching, this paper devises a new support tool based on a multiattribute decision making (MADM) framework i...

• Authors propose MILP approach for optimal cable routing in an onshore wind farm. The novelty the proposed algorithm is reliability assessment of network. Based on suggested outline network, failure rate as well cost lost energy production every turbine within farm updated. supports selection among different options, with features, prices and capacities. also takes into account calculation ste...

Maintenance support is the most important measures to keep equipments having high operational capabilities. Equipment maintenance support capability is an important part of operational capability and the evaluation of equipment maintenance support capability is very important to the establishment of battle effectiveness. The evaluation index system of equipment maintenance support capability is...

Detecting pedestrians is a challenging problem owing to the motion of the subjects, the camera and the background and to variations in pose, appearance, clothing, illumination and background clutter. The Region Covariance Matrix (RCM) descriptors show experimentally significantly out-performs existing feature sets for pedestrian detection. In this paper, we present an efficient features extract...

Relational Causal Models (RCM) generalize Causal Bayesian Networks so as to extend causal discovery to relational domains. We provide a novel and elegant characterization of the Markov equivalence of RCMs under path semantics. We introduce a novel representation of unshielded triples that allows us to efficiently determine whether an RCM is Markov equivalent to another. Under path semantics, we...