Performance degradation assessment of rolling element bearings is vital for the reliable and cost-efficient operation and maintenance of rotating machines, especially for the implementation of condition-based maintenance (CBM). For robust degradation assessment of rolling element bearings, uncertainties such as those induced from usage variations or sensor errors must be taken into account. Thi...

Mercurio aims at the provision of an environment for the creation of secure e-commerce services. This is motivated by the observation that pure WWW technology (as we see it at the moment) is not sufficient to realise a big variety of services provided over the Internet. The main goal is to allow the operators of e-commerce service centers and the simple vendor to develop, deploy, operate, and m...

Abstract: The dimensioning of hardware components takes place at the end of the UMTS radio network planning process when a suitable NodeB site configuration has been found. Each connection to a NodeB requires a service specific number of hardware components and an incoming connection is blocked if not enough components are available. The aim of hardware dimensioning is to find the cost-optimal ...

We present a constraint-based model and planning engine for manufacturing process planning. By exploiting the expressive power of constraint programming (CP), all relevant, sometimes conflicting pieces of domain knowledge are represented. The planner applies standard propagation techniques and customized search to find cost-optimal solutions in presence of hard, soft and conditional constraints...

We apply the average cost optimality equation to zero-sum Markov games, by considering a simple game with one-sided incomplete information that generalizes an example of Aumann and Maschler (1995). We determine the value and identify the optimal strategies for a range of parameters.

In previous work, we described G2I2, a system that adjusts the cost function used by an off-road route planning system in order to more closely mimic the route choices made by humans. In this paper, we report on an extension to G2I2, called GUIDE, which adds significant new capabilities. GUIDE has the ability to induce a cost function starting with a set of historical tracks used as training in...

This paper discusses how new technologies for supporting scientific research will possibly influence the librarians’ work. The discussion is conducted in a context that takes into account the emergence of e-infrastructures as means to realize a new model of producing, using and sharing information resources and even to change the concept of information resource itself. At the core of this innov...

The aim of this article is to analyze the potential for synergies between climate policies and development in a case study on India focusing on the power sector suboptimalities. To do so, we use IMACLIM-R, a dynamic recursive energy-economy model that represents a second best world with market imperfections and short-run adjustments constraints along a long-term growth path. The analysis sugges...

Real life networks are generally modelled as scale-free networks. Information diffusion in such networks in decentralised environment is a difficult and resource consuming affair. Gossip algorithms have come up as a good solution to this problem. In this paper, we have proposed Adaptive First-Push-Then-Pull gossip algorithm. We show that algorithm works with minimum cost when the transition rou...