Without significant intervention, demand for crude oil could rise by a further 25% by 2035, stemming from its use for transportation, particularly road transport. Many technologies for alternative fuels and substitute transport energy carriers are being researched, but successful implementation of these technologies at scale will require attention to consumer-behavioural and policy challenges a...

Vehicular Ad hoc Networks (VANETs) are a specific class of Mobile Ad hoc Networks (MANETs). Since vehicles tend to move in a high speed, the network topology is rapidly changed. Thus vehicle’s connectivity problem is one of the interesting issues in VANETs. Ad hoc On-demand Multipath Distance Vector (AOMDV) is an extended version of ad hoc on-demand distance vector (AODV). AOMDV is designed to ...

In this paper, we formalize the Menger probabilistic normed space as a category in which its objects are the Menger probabilistic normed spaces and its morphisms are fuzzy continuous operators. Then, we show that the category of probabilistic normed spaces is isomorphicly a subcategory of the category of topological vector spaces. So, we can easily apply the results of topological vector spaces...

OBJECTIVE to evaluate the association between psychological demands, control over the work and the reduction of work ability of nursing professionals. METHOD this cross-sectional study involved 498 nursing professionals of a university hospital in the State of Rio Grande do Sul, Brazil. Data collection was carried out in 2009 using the Brazilian versions of the Work Ability Index and Job Stre...

Effluent discharge from septic tanks is affecting the environment in developing countries. The most challenging issue facing these countries is the cost of inadequate sanitation, which includes significant economic, social, and environmental burdens. Although most sanitation facilities are evaluated based on their immediate costs and benefits, their long-term performance should also be investig...

For problems when decisions are taken prior to observing the realization of underlying random events, probabilistic constraints are an important modelling tool if reliability is a concern. A key concept to numerically dealing with probabilistic constraints is that of pefficient points. By adopting a dual point of view, we develop a solution framework that includes and extends various existing f...

There is an increasing demand for managing and reasoning about probabilistic data including for example noisy sensor data arising from ubiquitous computing. On top this data often includes complex correlation patterns. Currently Probabilistic Database Systems support uncertainty usually at individual tuple or attribute level allowing for fine-grained uncertainty but often also resulting in unne...

In this research, an integrated inventory problem is formulated for a single-vendor multiple-retailer supply chain that works according to the vendor managed inventory policy. The model is derived based on the economic order quantity in which shortages with penalty costs at the retailers` level is permitted. As predicting customer demand is the most important problem in inventory systems and th...