A sediment model has been developed to simulate the Sediment Oxygen Demand (SOD) and sediment nutrient fluxes after a sudden input of Particulate Organic Matter (POM). Compared with previous sediment models, the main model advancements are the use of a continuous function to represent the kinetics of POM diagenesis and inclusion of the biomass content in POM diagenesis. Laboratory experiments a...

The DRAMA project is a European Commission (ESPRIT)-funded project which has been initiated to support the take-up of large scale parallel simulation in industry by dealing with one of the main problems which restricts the use of message-passing simulation codes the inability to perform dynamic load balancing. A concentration on message-passing parallelisation corresponds to the target of addre...

One of the important requirements for operational planning of electrical utilities is the prediction of hourly load up to several days, known as Short Term Load Forecasting (STLF). Considering the effect of its accuracy on system security and also economical aspects, there is an on-going attention toward putting new approaches to the task. Recently, Neuro-Fuzzy modelling has played a successful...

A way of modelling loads in customer usage for fatigue life considerations of vehicles is discussed. The starting point is lateral vehicle loads acting on trucks. Customer usage is described by using road classification. Within each road class the loads are assumed to be similar and a particular customer can be modelled on the basis of the distance the driver drives in each road class. A parame...

Increasing electricity demand in Java-Madura-Bali, Indonesia, must be addressed appropriately to avoid blackout by determining accurate peak load forecasting. Econometric approach may not be sufficient to handle this problem due to limitation in modelling nonlinear interaction of factors involved. To overcome this problem, Elman and Jordan Recurrent Neural Network based on Levenberg-Marquardt l...

Product-Form (PF) queueing networks are one of the most popular modelling techniques for evaluating the performances of computing and telecommunication infrastructures. Several computational algorithms have been developed for their exact solution. Unlike the algorithms for load-independent models, the ones for models with queue-dependent servers, either with single class or multiclass workloads...

This commentary considers the positive and negative consequences of early economic modelling and explores potential future directions. Early economic modelling offers device manufacturers an opportunity to assess the potential value of an innovation at an early stage of development. Early modelling can direct resources into potentially viable technologies and reduce inv...

‘Classical’ compartmental modelling techniques involve numerical solution of large sets of ordinary differential equations (ODEs). The computational cost of neuronal network evaluation using these techniques forms a major bottleneck in the exploration of the effects of dendrite morphology on network functionality. To reduce computational load, we have developed a finite state automaton model of...