Enhancing Use Cases with Screen Designs. A Comparison of Two Approaches

This paper presents a language called ScreenSpec that can be used to quickly specify screens during the requirements elicitation phase. Experiments and case studies presented in this paper show that it is easy to learn and effective to use. ScreenSpec was successfully applied in 9 real projects. Visual representation generated from ScreenSpec can be attached to requirements specification (e.g. as adornments to use cases)

National Power Rrankings of Countries 2019

The power of countries, their estimations and their measurements have always been an issue of interest for military leaders, rulers and politicians, who needed fairly objective decision parameters. These expectations were initially addressed by philosophers, only to be subsequently replaced by specialized researchers. The power of participants of international relations is studied within the subdiscipline of geopolitics – powermetrics – applied science concerned with measurements, estimates and assessment of power of participants in social life, especially that of particular states, as well as with modelling, simulations and forecasting of the relations between them, from a global, regional and local perspective

Classical fields approximation for cold weakly interacting bosons without free parameters

Classical fields approximation to cold weakly interacting bosons allows for a unified treatment of condensed and uncondensed parts of the system. Until now, however, the quantitative predictions were limited by a dependence of the results on a grid chosen for numerical implementation of the method. In this paper we propose replacing this unphysical ambiguity by an additional postulate: the temperature of the gas at thermal equilibrium should be the same as that of an ideal Bose gas with the same fraction of condensed atoms. As it turns-out, with this additional assumption, nearly all atoms are within the classical fields, thus the method applies to the whole system

The Use of Three-dimensional Analysis of GPR Data in Evaluation of Operational Safety of Airfield Pavements

AbstractDiagnosis of airfield pavements is an important component of airport managing. Proper diagnosis makes possible to take optimal decisions in terms of ongoing maintenance and repairs, which in the case of airfields is of particular importance, among others, in the context of seasonal changes in the intensity of air traffic. The completeness and accuracy of gathered data is important in the diagnostic activities, what means that the entire airfield road network should be measured and identification of all relevant pavement construction parameters at regular intervals should be done. These capabilities give the Ground Penetrating Radar technique (GPR), which enables the evaluation of the pavement structure in different ways and outlining different aspects of construction.GPR application as a tool supporting the process of state assessment gives a wider and better understanding of the potential damage of pavement. Properly prepared methodology of measurement, configuration and selection of the measurement system creates the possibility of observation of the investigated object, not only in a single plane of a typical radar profiling, but also in the three-dimensional image. Spatial representation obtained on the basis of synchronized profiling allows precise localization of interlayer boundaries in longitudinal and transverse directions. An important advantage of three-dimensional analysis is the ability of imaging data by the use of horizontal cuts (slices). This makes it possible to identify plane direction and depth of the cracks and crevices of concrete slabs covered with layers of asphalt or concrete. An additional element of the GPR data analysis can be quantitative assessment of dowels in concrete slabs, reinforcement of prefabricated elements supporting pavement structure, as well as location of pipes, cables, tie bars and other.The paper presents the series of examples illustrating the use of GPR technique as supporting in the process airfield pavement assessment

Kernel functional canonical correlation analysis

Canonical correlation methods for data representing functions or curves have received much attention in recent years. Such data, known in the literature as functional data (Ramsay and Silverman, 2005), has been the subject of much recent research interest. Examples of functional data can be found in several application domains, such as medicine, economics, meteorology and many others. Unfortunately, the multivariate data canonical correlation methods cannot be used directly for functional data, because of the problem of dimensionality and difficulty in taking into account the correlation and order of functional data. The problem of constructing canonical correlations and canonical variables for functional data was addressed by Leurgans et al. (1993), and further developments were made by Ramsay and Silverman (2005). In this paper we propose a new method of constructing canonical correlations and canonical variables for functional data