production of highly viscous tar sand bitumen using steam assisted gravity drainage (sagd) with a pair of horizontal wells has advantages over conventional steam flooding. this paper explores the use of artificial neural networks (anns) as an alternative to the traditional sagd simulation approach. feed forward, multi-layered neural network meta-models are trained through the back-error-propaga...

The time slot CSMA/CD protocol model based on the discrete event simulation technology is established in the article, and the object-oriented simulation technology is adopted to implement the simulation software, and the influences of the messaging probabilities on the network performance are analyzed under different loads, and the result shows that to enhance the comprehensive performance para...

Analysis and design of network systems relies on simulation models that can describe important traits such as performance and scalability. Essential for specifying network designs are concepts and methods that can support developing well-formed simulation models. The network simulator ns-2 can be used to model and simulate high resolution dynamics of network protocols. For developing new or exi...

Free and Open Source Software (F/OSS) development is a complex process that is just beginning to be understood. The actual development process is frequently characterized as disparate volunteer developers collaborating to make a piece of software. The developers of F/OSS, like all software, spend a significant portion of their time in social communications to foster collaboration. We have analy...

This paper discusses the design and implementation of a series of system-wide simulation upgrades made to the Vehicle Systems and Control Laboratory in the Aerospace Engineering Department at Texas A&M University. The simulation system consists of a PCbased distributed simulation network comprised of a fixed-base full cockpit simulator and three additional pilot-based simulation stations. Modif...

Spinula is a software package for the simulation and analysis of spiking neural network models. It consists of a core library that provides the simulation environment, and additional libraries that support analysis and visualization of the resulting data. This report examines each of these libraries and provides a detailed description of the included services and examples of how they might be u...

State-of-the-art software tools for neuronal network simulations scale to the largest computing systems available today and enable investigations of large-scale networks of up to 10 % of the human cortex at a resolution of individual neurons and synapses. Due to an upper limit on the number of incoming connections of a single neuron, network connectivity becomes extremely sparse at this scale. ...

background: although experiments on water quality are time consuming and expensive, models are often employed as supplement to simulate water quality. artificial neural network (ann) is an efficient tool in hydrologic studies, yet it cannot predetermine its results in the forms of maps and geo-referenced data. methods: in this study, ann was applied to simulate groundwater quality and geographi...