The study describes a Grammatical Evolution (GE) system and applies it to establish the inflow prediction model of Der-Ji Reservoir in central Taiwan. GE is a new computing architecture in the area of optimization. It provides system identification in a transparent and structured way; a fittest function type of input-output relationship will be obtained automatically from this method. A multi-...

Steam injection is the most suitable of Enhanced Oil Recovery (EOR) methods to recover high viscosity oil. This is due to the capabilities of steam to reduce oil viscosity and increase the sweep capability of oil from the injection well toward the production well. Oil operating conditions in production should be match well with the operating condition target at the bottom of the production well...

In this paper it is shown that Reservoir Computing can be successfully applied to perform real-time detection of epileptic seizures in Electroencephalograms (EEGs). Absence and tonic-clonic seizures are detected on intracranial EEG coming from rats. This resulted in an area under the Receiver Operating Characteristics (ROC) curve of about 0.99 on the data that was used. For absences an average ...

The concept of the Knowledge Bazaar as a paradigm for the development of Expert Systems, whereby knowledge bases are created dynamically using knowledge supplied by self appointed Internet communities is proposed. The idea espouses the creation of individual Knowledge Bazaars, operating in specific domains, but all operating through a generic Knowledge Bazaar XML Web application. Issues address...

An integrated model is developed, based on seasonal inputs of reservoir inflow and rainfall in the irrigated area, to determine the optimal reservoir release policies and irrigation allocations to multiple crops. The model is conceptually made up of two modules. Module 1 is an intraseasonal allocation model to maximize the sum of relative yields of all crops, for a given state of the system, us...

In this paper, we investigate the application of a new method, the Finite Difference and Stochastic Gradient (Hybrid method), for history matching in reservoir models. History matching is one of the processes of solving an inverse problem by calibrating reservoir models to dynamic behaviour of the reservoir in which an objective function is formulated based on a Bayesian approach for optimizati...

Group sequential stopping rules are often used as guidelines in the monitoring of clinical trials in order to address the ethical and efficiency issues inherent in human testing of a new treatment or preventive agent for disease. Such stopping rules have been proposed based on a variety of different criteria, both scientific (e.g. estimates of treatment effect) and statistical (e.g. frequentist...

Conventional electrowetting displays reconfigure the contact angle of a coloured oil film on a planar hydrophobic surface. We report on electrofluidic displays, in particular a three-dimensional microfluidic display device that provides a direct view of brilliantly coloured pigment dispersions. Electromechanical pressure is used to pull the aqueous dispersion from a reservoir of small viewable ...

This paper explores the impact of various group decision-making approaches on the performance of a multipurpose reservoir. The reservoir operation problem is solved by a continuous flexible stochastic dynamic program (FSDP) in which the variability and temporal persistence of the inflows are apprehended by a Markov model. Operating objectives are encoded as fuzzy sets whose membership functions...