This paper introduces a new technique for modeling signal and nutrient propagation in plant models to counteract the main disadvantages of current methods: the difficulty of setting the velocity of the propagation and the complexity of models with many signals. This technique uses implicit parameters and global propagation functions, offering a better control over the velocity of propagation, m...

Network simulation tools are frequently used to analyze performance of MANET protocols and applications. They commonly offer only simple radio propagation models that neglect obstacles of a propagation environment. The radio wave propagation model has a strong impact on the results of the simulation run. This work shows different radio propagation models into a simulation tool. The model is bas...

Numerical calculation of infrasound propagation paths is necessary to support accurate infrasound event identification, phase association, and source location. Predicting the details of infrasound propagation relies both on propagation models that capture the fundamental physical processes and on characterization of the propagation medium, namely the global atmosphere from the ground to altitud...

The use of land cover change map is subject to error propagation from multi-temporal land cover classification maps. Understanding the factors determining error propagation to land-cover change maps helps to select appropriate classification models and characterize the associated uncertainties. In this paper, we presented a simulation analysis on the rates of error propagation for both non-cont...

In the present study, the reliability assessment of performance-based optimally seismic designed reinforced concrete (RC) and steel moment frames is investigated. In order to achieve this task, an efficient methodology is proposed by integrating Monte Carlo simulation (MCS) and neural networks (NN). Two NN models including radial basis function (RBF) and back propagation (BP) models are examine...

Infrasound propagation models and upper-atmospheric characterizations have been integrated into a single software tool kit that allows for user-friendly model execution and data visualization. The tool kit, called InfraMAP, for Infrasonic Modeling of Atmospheric Propagation, can be applied to predict travel times, bearings, and amplitudes from potential event locations worldwide. Temporal and s...

A comprehensive review of the propagation prediction models for terrestrial wireless communication systems is presented in this paper. The classic empirical models are briefly described and the focus is placed on the application of ray-tracing techniques to the development of deterministic propagation models. Schemes to increase the computational efficiency and accuracy are discussed. Tradition...

In this paper the regression problem for random sets of the Boolean model type is developed, where the corresponding poisson process of the model is related to some explanatory variables and the random grains are not affected by these variables. A model we call propagation model, is presented and some methods for fitting this model are introduced. Propagation model is applied in a simulation st...

Indoor path loss models are playing an important role in the design and planning of the 4 generation of the mobile networks. Moreover, it is an important component of system level simulators used to evaluate and test the network performance before it has been established. Many propagation models were proposed for this purpose. Most of these models are for macro and micro cellular networks. Smal...