Modeling of nature’s complexity is among the outstanding challenges we are faced with in the geophysical sciences. Although many ideas have been proposed throughout the years, the most common approaches, being based on notions related to chance, turn out to be insufficient to study, on an individual basis, the vast variety of patterns seen in nature. To this end, a novel deterministic fractal g...

Contemporary financial depression of the financial markets proves high fluctuations of the prices of the stocks. These fluctuations have considerable impact on the values of the financial portfolios. Classical approaches to modeling of the behavior of the prices of the stocks may produce wrong predictions of their future values. That is the reason why we introduce in this paper the fractal mark...

The software reliability is the ability of the software to perform its required function under stated conditions for a stated period of time. In this paper, a hybrid methodology that combines both BP neural network and fractal models is proposed to take advantage of unique strength of BP neural network and fractal in modeling. Based on the experiments performed on the software reliability data ...

Lworld is a computer graphics animation system based on L-systems, a parallel rewriting technique used primarily in computer graphics for plant modeling. Because rule-based programming is a powerful technique, we use it as a basis for a general-purpose animation system called Lworld (LSystem world). We describe the architecture, the features, and the programming language of the animation system...

Manipulations by contact of objects between 1 mm and 1 mm are often disturbed by adhesion between the manipulated object and the gripper. Electrostatic forces are among the phenomena responsible for this adhesive effect. Analytical models have been developed in the literature to predict the electrostatic forces. Most models are developed within the framework of scanning probe microscopy, i.e. f...