The main challenge facing the oil industry is to reduce development costs while accelerating recovery with maximizing reserves. One of the key enabling technologies in this area is intelligent well completions. Intelligent well technology (IWT) is a relatively new technology that has been adopted by many operators in recent years to improve oil and gas recovery. Intelligent well completions emp...

Currently coal fired power plant requires bunker or stock piles in order to place the coal for storage purpose and to use it effectively when demand arises. Real time sensors are used to sense level of the coal and to pass data to computational systems for processing hence further actions such as refilling and distributing of coal can be automated. Further the control action in level sensing ca...

overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. in this study, two novel prediction models for overtaking behavior are proposed. these models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (manfis). they are validated at microscopic level and are able to simulate and predict the future...

permeability can be directly measured using cores taken from the reservoir in the laboratory. due to high cost associated with coring, cores are available in a limited number of wells in a field. many empirical models, statistical methods, and intelligent techniques were suggested to predict permeability in un-cored wells from easy-to-obtain and frequent data such as wireline logs. the main obj...

The Emerald Ash Borer (EAB) has killed or infested millions of ash trees in Michigan and is fast spreading to neighboring states. The US Department of Agriculture (USDA) estimates that if EAB went unchecked in the rest of the country, the loss to the nation could range from $20 billion to $60 billion. One key requirement for the success of EAB containment programs is the underlying information ...

In this paper we propose a framework for controlling and executing problem solving methods in a work-flow context. The framework is founded on an extension and scaling-up of the electronic institutions theory and the use of artificial intelligence techniques in a multi agent environment. We discuss electronic institutions?s theory extensions for enabling intelligent organizations using our appr...

This paper presents a human machine interface (HMI) for hands-free control of an electric powered wheelchair (EPW) based on head movements and facial expressions detected by using the gyroscope and ‘cognitiv suite’ of an Emotiv EPOC device, respectively. The proposed HMI provides two control modes: 1) control mode 1 uses four head movements to display in its graphical user interface the control...

During recent years there has been growing interest in unmanned aerial vehicles (UAVs). Moreover, the necessity to control and navigate these vehicles has attracted much attention from researchers in this field. This is mostly due to the fact that the interactions between turbulent airflows apply complex aerodynamic forces to the system. Since the dynamics of a quadrotor are non-linear and the ...

This paper addresses intelligent techniques for the quality control of the pulsed gas tungsten arc welding process for butt joints, and it is a development to Ref. 1. Because there exist some important differences in butt joint welding and bead-on-plate welding, the modeling and control scheme in Ref. 1 does not completely fit for butt joint welding. In this paper, the differences between the t...

The application of neural networks technology to dynamic system control has been constrained by the non-dynamic nature of popular network architectures. Many of difficulties are-large network sizes (i.e. curse of dimensionality), long training times, etc. These problems can be overcome with dynamic neural networks (DNN). In this study, intelligent optimal control problem is considered as a nonl...