Abstract In cartographic generalization, the selection is an often-used method to adjust information density in a map. This paper deals with methods for selecting point features specific scale numerical attributes, such as population, elevation, or visitors. With Label Grid approach and of Functional Importance, two existing approaches are described, which have not been published scientific lit...

From the fourth quarter of 2014, Portuguese Labour Force Survey (PLFS) started geo-referencing sampling units, namely dwellings, in which surveys are carried out. This opens new possibilities analysing and estimating unemployment its spatial distribution across any region by employing point referenced methods models. According to a preestablished criteria, labour force survey selects certain nu...

this paper presents a probabilistic confidence-interval based method for optimal placement of shunt capacitors in distribution networks by considering probabilistic characteristics of loads. the main objective function are reducing loss and improving the voltage profile. backward forward sweep method has been employed to obtain the power flow results in distribution system. in addition, integer...

in this paper, we consider a stochastic time-cost tradeoff problem (tctp) in pert networks for project management, in which all activities are subjected to a linear cost function and assumed to be exponentially distributed. the aim of this problem is to maximize the project completion probability with a pre-known deadline to a predefined probability such that the required additional cost is min...

The main cost of solving a linear programming problem using an interior point method is usually the cost of solving a series of sparse, symmetric linear systems of equations, AA T x = b. These systems are typically solved using a sparse direct method. The rst step in such a method is a reordering of the rows and columns of the matrix to reduce ll in the factor and/or reduce the required work. T...

This paper gives an overview over several techniques for detection of features, and in particular sharp features, on point-sampled geometry. In addition, a new technique using the Gauss map is shown. Given an unstructured point cloud, this method computes a Gauss map clustering on local neighborhoods in order to discard all points that are unlikely to belong to a sharp feature. A single paramet...