This article presents the methodology of information analysis, required for planning safe road transport of sensitive cargoes. Based on the literature studies we found that the traditional approaches applied to analyze traffic information are insufficient to ensure safe transport of sensitive loads as they fail to take into account several threatening factors. In addition, the need was noted to develop the procedures that may allow to choose a transport route considering appearance of so-called high-risk zones within road infrastructure, analyze the interdependence of such zones with errors made during the design or operation of road infrastructure and investigate the impact of road traffic on the frequency of road accidents involving Heavy Goods Vehicle. Therefore, article aims to present an integrated approach to traffic information analysis. Thus a multiple stage data ordering procedures were proposed, based on grouping information on accident rates and inclusion of audit results of selected route sections. Considering that transport infrastructure plays an important role in transport safety, the proposed methodology includes the analysis of errors in infrastructure and a merger in the sections the detected risk zones within the road infrastructure in any location. Application of this methodology can improve the planning of road transport of sensitive cargoes. Its verification was carried out on the example of a selected route running through Poland. During the audit of the route, it was found that a number of incorrect design solutions were applied on its separate sections, which may lead to high values of the severity factor for potential collisions and indicator of possible post-accidental losses. As a result of the research, the areas of the route were identified, where high-risk zones are located that threaten the safety of road traffic of vehicles, including those carrying sensitive loads. Research results may be of interest for those, who are involved in planning and organization of sensitive cargo transport, both in domestic and in international relations.
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Analiza informacji to proces wielowymiarowy oraz interdyscyplinarny. Jego końcowym rezultatem jest produkt analityczny, który pełni funkcję pomocniczą w postępowaniu decyzyjnym. Poprawność analiz może być gwarantem optymalności wielu procesów. Jednym z nich jest operacja odzyskiwania personelu izolowanego. Złożoność takich operacji wymaga optymalności produktu analitycznego. W artykule autor stara się przedstawić koncepcyjną metodę tworzenia produktu analitycznego oraz wykorzystania go w operacjach odzyskiwania personelu izolowanego.
EN
Information analysis is the process of a multidimensional and multidisciplinary proportions. Its end result is a product analysis, which serves as an auxiliary in the decision-making procedure. The correctness of the analysis may be the guarantor of optimality in many processes. One of them is a personnel isolated recovery operation. The complexity of such an operation requires optimality in analytical product. In this article the author tries to present a conceptual method for creating analytical product and presented as useful in personnel isolated recovery operations.
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The aim of this paper is to present the methods and algorithms of information systems decomposition. In the paper, decomposition with respect to reducts and the so-called global decomposition are considered. Moreover, coverings of information systems by components are discussed. An essential difference between two kinds of decomposition can be observed. In general, global decomposition can deliver more components of a given information system. This fact can be treated as some kind of additional knowledge about the system. The proposed approach is based on rough set theory. To demonstrate the usefulness of this approach, we present an illustrative example coming from the economy domain. The discussed decomposition methods can be applied e.g. for design and analysis of concurrent systems specified by information systems, for automatic feature extraction, as well as for control design of systems represented by experimental data tables.
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Estymacja rozmiaru tworzonej aplikacji na wczesnym etapie cyklu życia stanowi jeden z zasadniczych problemów zarządzania przedsięwzięciem informatycznym. Przedstawiono na przykładzie wybranego modelu metodę szacowania niezależną od środków implementacji, nazywaną metodą FP Metoda ta na podstawie modelu funkcji i informacji oraz szczegółowych wymagań eksploatacyjnych, pozwala obliczyć przewidywany rozmiar tworzonej aplikacji w punktach funkcyjnych. Omówiono zasady postępowania ze szczególnym podkreśleniem nowych reguł wprowadzonych przez międzynarodową grupę jej użytkowników.
EN
An important problem of software project management is the ability to estimate the size of application early in the development life cycle. The paper presents how to use the function point method in the software industry today. This method is based on a function model for user requirements and entity relationship diagram. The result of this measurement is calculated application size in function points. This paper also describes the current enhancements of definitions and rules made by the international function point users group
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