EM-OLAP Framework - Econometric Model Transformation Method for OLAP Design in Intelligence Systems

Econometrics is currently one of the most popular approaches to economic analysis. To better support advances in these areas as much as possible, it is necessary to apply econometric problems to econometric intelligent systems. The article describes an econometric OLAP framework that supports the design of a multidimensional database to secure econometric analyses to increase the effectiveness of the development of econometric intelligent systems. The first part of the article consists of the creation of formal rules for the new transformation of the econometric model (TEM) method for the econometric model transformation of multidimensional schema through the use of mathematical notation. In the proposed TEM method, the authors pay attention to the measurement of quality and understandability of the multidimensional schema, and compare the proposed method with the original TEM-CM method. In the second part of the article, the authors create a multidimensional database prototype according to the new TEM method and design an OLAP application for econometric Analysis

On the Relationship Between the Optical Emission-Line and X-ray Luminosities in Seyfert 1 Galaxies

We have explored the relationship between the [O III] $\lambda$5007 and the 2--10 keV luminosities for a sample of Broad- and Narrow-Line Seyfert 1 galaxies (BLSy1 and NLSy1, respectively). We find that both types of Seyferts span the same range in luminosity and possess similar [O III]/X-ray ratios. The NLSy1s are more luminous than BLSy1s, when normalized to their central black hole masses, which is attributed to higher mass accretion rates. However, we find no evidence for elevated [O III]/X-ray ratios in NLSy1s, which would have been expected if they had excess EUV continuum emission compared to BLSy1s. Also, other studies suggest that the gas in narrow-line regions (NLR) of NLSy1s and NLSy1s span a similar range in ionization, contrary to what is expected if those of the former are exposed to a stronger flux of EUV radiation. The simplest interpretation is that, like BLSy1s, a large EUV bump is not present in NLSy1s. However, we show that the [OIII]/X-ray ratio can be lowered as a result of absorption of the ionizing continuum by gas close to the central source, although there is no evidence that intrinsic line-of-sight absorption is more common among NLSy1s, as would be expected if there were a larger amount of circumnuclear gas. Other possible explanations include: 1) anisotropic emission of the ionizing radiation, 2) higher gas densities in the NLR of NLSy1s, resulting in lower average ionization, or 3) the presence of strong winds in the the nuclei of NLSy1s which may drive off much of the gas in the narrow-line region, resulting in lower cover fraction and weaker [O III] emission.Comment: 18 pages, including 3 figures, 2 tables. Accepted for publication in The Astrophysical Journa

Brašno - Kruh '15

Proceedings contains 28 original research articles presented at 8th International Congress Flour – Bread ’15 and 10th Croatian Congress of Cereal Technologists Brašno – Kruh ’1

Modeling Heterogeneous Experts’ Preference Ratings for Environmental Impact Assessment through a Fuzzy Decision Making System

Part 5: Information Tools for Global Environmental AssessmentInternational audienceCurrently, there is an increasing demand for more efficient and practical environmental impact assessment (EIA) tools due to the emerging climate change challenges and need to better evaluate and control impacts of industrial technologies and activities. However, due to the inherent uncertainties, vagueness’s of assessment data, traditional EIA methods are unable to handle efficiently and properly such decision making process, and consequently more efficient method resorts to the opinions of group of relevant experts in order to enhance the reliability of the assessment decision. However, experts’ assessments are usually in heterogeneous forms, multi-metric or multi-criterion and usually conflicting. This article presents a fuzzy decision making systems (FDMS) that enables heterogeneous experts’ preference ratings assessment and provides for aggregation of those opinions over multi-metric scales. Experts can provide their opinion in form of crisp, linguistic or fuzzy values

Business Process Modelling Languages

This paper summarizes the current knowledge of business process modelling languages, which is increasingly important also in the agri-food industry. It describes the history of business process modelling, currently mostly used alternatives – UML, BPMN, EPC and recaps their strengths and features in which they outperform the others. As demonstrated all three notations can adequately model business processes. They do however differ in some specific features. In some aspects, each of the languages always outperforms the others. Important is that except of some general objective features where the languages differ, there is also a lot of subjective perception of how the single notations perform

Business Process Modelling Languages

This paper summarizes the current knowledge of business process modelling languages, which is increasingly important also in the agri-food industry. It describes the history of business process modelling, currently mostly used alternatives – UML, BPMN, EPC and recaps their strengths and features in which they outperform the others. As demonstrated all three notations can adequately model business processes. They do however differ in some specific features. In some aspects, each of the languages always outperforms the others. Important is that except of some general objective features where the languages differ, there is also a lot of subjective perception of how the single notations perform