The aim of this study is to investigate the capability of integration of LiDAR derived terrain and hydrological features with other salinity related datasets to improve prediction of areas at risk from salinity in a catchment area in Victoria, Australia. Terrain and hydrological features including slope, drainage density and hilltop were generated from LiDAR derived DEM and a relative low quali...

Many address lookup methods for an IP router have been recently proposed to improve a packet forwarding capability, but their performance prediction is very limited because of lack of considering actual traffic characteristics. It is necessary to consider actual traffic to predict more realistic performances on routers, specially in case of layers 3 and 4 switches whose performances are more in...

The CWRF has been developed as the Climate extension of the Weather Research and Forecasting model (WRF, Skamarock et al. 2008) by incorporating numerous improvements in representation of physical processes and integration of external (top, surface, lateral) forcings that are crucial to climate scales, including interactions between land–atmosphere–ocean, convection–microphysics and cloud–aeros...

This paper investigates the application of a radial basis function (RBF) neural network to the prediction of field strength based on topographical and morphographical data. The RBF neural network is a two-layer localized receptive field network whose output nodes from a combination of radial activation functions computed by the hidden layer nodes. Appropriate centers and connection weights in t...

“Compression of hyperspectral images holds importance because of bad transmission capability of satellites. The project is the implementation of the paper-“Satellite Hyperspectral Imagery Compression Algorithm Based on Adaptive Band Regrouping”. But during the course of the implementation many modifications have been made and some new concepts have been introduced. We have made the given regrou...

In this paper, the overall framework for chilled water system in heating, ventilation, and air-conditioning (HVAC) system was analyzed, then aiming at the chilled water system, the control loop in secondary pump frequency pressure difference was identified and the Generalized Prediction Control (GPC) algorithm was designed and deployed for the strategy of fixed pressure difference control. The ...

Defence Experimentation (DE) is becoming adopted in Defence as a means to improve requirements elicitation, especially in capability development. However there is currently no established method for predicting the effort required in DE. This paper makes some first steps to address this, by carefully surveying the benefits of DE to the Systems Engineering process, the different needs of DE and t...

Let (X ,μ) be a probability space, set X to be distributed according to μ and put Y to be an unknown target random variable. In the usual setup in learning theory, one observes N independent couples (Xi, Yi)Ni=1 in X × R, distributed according to the joint distribution of X and Y . The goal is to construct a real-valued function f which is a good guess/prediction of Y . A standard way of measur...

The non-linear dependence of pre-sliding and sliding friction forces on displacement and velocity is modelled using different physics-based and black-box approaches including various Maxwell-Slip models, neural networks, nonparametric (local) models and recurrent networks. The efficiency and accuracy of these identification methods is compared for an experimental time series where the observed ...