Janusz Opiła

Search for new magnetic materials based on uranium and iron

Abstract Magnetic and Mossbauer effect studies have been reported for new UFe10Si2, UCo10Si2 and UFe10Mo2 compounds crystallizing with tetragonal structure of the ThMn12-type. The magnetization measurements have been performed for the magnetic field preoriented sample of UFe10Si2 and bulk sample of UCo10Si2, in high fields up to 140 kOe. The 57Fe Mossbauer spectra for UFe10Si2 and UFe10Mo2 have been recorded below the corresponding Curie temperatures.

Advances in Fuzzy Decision Making

This book shows how common operation management methods and algorithms can be extended to deal with vague or imprecise information in decision-making problems. It describes how to combine decision trees, clustering, multi-attribute decision-making algorithms and Monte Carlo Simulation with the mathematical description of imprecise or vague information, and how to visualize such information. Moreover, it discusses a broad spectrum of real-life management problems including forecasting the apparent consumption of steel products, planning and scheduling of production processes, project portfolio selection and economic-risk estimation. It is a concise, yet comprehensive, reference source for researchers in decision-making and decision-makers in business organizations alike.

Prototyping of visualization styles of 3D scalar fields using POV-Ray rendering engine

There is a persistent quest for novel methods of visualization in order to get insight into complex phenomena in scientific domains as various as physics, biomedicine or economics. Research teams involved achieved excellent results, however some problems with elaboration of novel visualization styles connected with flexibility of the software used and quality of the final images still persist. In the paper results of inspection of four visualization styles of 3D static scalar field employing POVRay ray-tracing engine are discussed, i.e. equipotential surface method using direct implementation of isosurface{} object, cellular trilinear interpolation approach, application of texture and eventually pseudo-particles design. All styles presented have been tested for hybrid visualizations and compared concerning computing time, informativeness and general appearance. It is shown in the work that Scene Description Language (SDL), domain specific language implemented in POV-Ray is flexible enough to use it as a tool for fast prototyping of novel visualization techniques. Visualizations discussed in the paper were computed using selected components of API of ScPovPlot3D, i.e. templates written in the SDL language.

Prototyping of visualization designs of 3D vector fields using POVRay rendering engine

There is a persistent quest for novel methods of visualization in order to get insight into complex phenomena in variety of scientific domains. Researchers, ex. VTK team, achieved excellent results; however, some problems connected with implementation of new techniques and quality of the final images still persist. Results of inspection of number of visualization styles of 3D vector field employing POVRay ray-tracing engine are discussed, i.e. hedgehogs, oriented glyphs, streamlines, isosurface component approach and texturing design. All styles presented have been tested using water molecule model and compared concerning computing time, informativeness and general appearance. It is shown in the work that Scene Description Language (SDL), domain specific language implemented in POVRay is flexible enough to use it as a tool for fast prototyping of novel and exploratory visualization techniques. Visualizations discussed in the paper were computed using selected components of API of ScPovPlot3D, i.e. templates written in the SDL language. Results are compared to designs already implemented in VTK.

Remarks on visualization of fuzziness of cardiac data

In contemporary health science sophisticated apparatus delivers a lot of data on vital processes in patients. All of them are processed as a bulk of numbers not suitable directly for diagnosing or research purposes. Moreover, which is common in biomedical sciences, measured data are intrinsically inaccurate, i.e., fuzzy. In order to overcome these deficiencies a set of visualization methods has been developed as well as dedicated file formats. In the paper authors discuss selected formats and imaging techniques useful for cardiologists. Problems of medical data processing is outlined. Strengthens and weaknesses of raw STL file format are analyzed. Visualization styles of data fuzziness using experimental package ScPovPlot3D based on POVRay are proposed and discussed.

Multi-attribute Decision Making Process and Its Application

This chapter proposes the integrated fuzzy approach to solve Multi Attribute Decision Problems. Fuzzy Analytical Hierarchy Process (FAHP) is used to assign relative weights to criteria, and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is employed to rank the alternatives. The use of the proposed approach is illustrated using a real case from a steel industry.

Selected Issues of Visualisation of Fuzziness in Cardiac Imaging Data

This chapter proposes an approach to visualisation of fuzzy numbers in one-, two- and more-dimensional spaces. The proposed approach is based on ScPovPlot3D templates for POVRay.

Fuzzy Random Variable and the Dempster-Shafer Theory of Evidence

This chapter presents the concept of uncertainty propagation in real world desicion problems, where some input parameters are stochastic while information about others is partial and is represented by fuzzy random variable. It also introduces fuzzy random variable and the Dempster-Shafer theory which provide mathematical background for such propagation.

Application of Fuzzy Decision Trees in Analog Forecasting

This chapter presents a new method for forecasting the level and structure of market demand for industrial goods. The method employs two data mining methods: k-means clustering and fuzzy decision tree learning. The k-means method serves to separate groups with items of a similar consumption level and structure of the analysed products. Whereas, fuzzy decision tree learning are used to determine the dependencies between consumption patterns and predictors. The proposed method is verified using the extensive statistical material on the level and structure of steel products consumption in selected countries in the years 1960–2010.

Risk Assessment in the Presence of Uncertainty

This chapter is devoted to a method which is able to process hybrid data, i.e., to jointly handle both randomness and imprecision. Random variables are described by probability distributions and imprecise values are modelled using possibility distributions. The main advantage of the proposed method is that it takes into account the dependencies between economic parameters.