Abstract:The goal of this paper is to apply Generalized Additive Models to medical scheme data. The flexibility of the nonparametric approach is demonstrated based on a real-life empirical example that seeks to model hypertension and the interplay of determinants, such as physiological measurements, medical attributes, demographic and socioeconomic characteristics in predicting blood pressure. The assessment of nonlinear patterns in the response-predictor relationship and the strength of this association are investigated. The extended Generalized Additive Models allow for modeling not only location and scale, but also other distribution parameters, such as kurtosis and skewness.
Abstract:The result of the research in this article is a mathematical model of thyristor’s system control of DC motor with independent excitation, which includes containing controlled three-phase rectifier. The nonlinear characteristics of transformer’s magnetization was being taken into account. Tyristors’ work in shown by means of a scheme of an ideal key.
Abstract:The main goal of this paper is an attempt to create a new approach to measuring equipment PLC controller communication. Beside the individual communicational protocols supported and developed by PLC manufacturers, PLC controllers support also popular protocols like TCP or UDP. This allows an easy communication with computers and many devices supporting these protocols. This paper presents a control system, which allows the distance measurement where the data is sent to the PLC controller (SIEMENS S7-1200) using Ethernet bus. The data can be also accessed using Human Machine Interface on an operators screen. In the paper it is shown how to create such a communication system which can be implemented for measurement purposes and is ready for farther development in the future.
Abstract:In this paper the capabilities of using open source relational databases to construct a web-based system designed to support the functioning of a health clinic have been presented as an alternative to commercial solutions. The author introduced a prototype of the system, which is based on selected database. Obtained results confirm the assumption that the medical system does not have to strain health care budget, while providing an acceptable standard of services.
Abstract:This article describes a new hybrid ant colony optimization algorithms for the set covering problem. The problem is modeled by means of a bipartite graph. New heuristic patterns, which are used in order to choose a vertex to a created covering set have been incorporated into modified hybrid algorithms. Results of tests on investigated algorithms are discussed.
Abstract:In this paper we explain the need of “fairness” in the human-consistent computational system which supports a group consensus reaching process. We propose the model which combines mathematical approach based on fuzzy environment, i.e. “soft” consensus developed by Kacprzyk and Fedrizzi and socio-psychological approach concerning fairness component. We view fairness from two possible perspectives: a fair distribution and a fair final decision. Finally, we confirm our assumptions by observations in the analyzed groups of students.
Charytanowicz, Małgorzata, Czachor, Henryk, Niewczas, Jerzy
Abstract:In this paper, a method for determining the soil pore size distribution, constituting the subject of the presented investigations, is proposed. A research study was conducted using image analysis algorithms, and in turn, nonparametric statistical techniques. The results and further work will be discussed in section four. The purpose of this investigation is to discover the relationship between the pore size and volume of the corresponding pores. The algorithm presented here is based on the theory of statistical kernel estimators. This frees it of assumptions in regard to the form of regression function. The approach is universal, and can be successfully applied for many tasks in data mining, where arbitrary assumptions concerning the form of regression function are not recommended.
Abstract:This paper deals with automatic authorship attribution through documents content analysis. This approach is based on selecting sets of suitable features relying on specific use of grammar, punctuation or vocabulary and in the next step – executing given classification algorithm. The contribution first overviews various text characteristics which can be employed for that purpose, then presents the results of experiments involving feature selection and examines classifier performance for author identification problem. The paper concludes with discussion and proposals for further research.