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EN
The radial distribution system is a rugged system, it is also the most commonly used system, which suffers by loss and low voltage at the end bus. This loss can be reduced by the use of a capacitor in the system, which injects reactive current and also improves the voltage magnitude in the buses. The real power loss in the distribution line is the I2R loss which depends on the current and resistance. The connection of the capacitor in the bus reduces the reactive current and losses. The loss reduction is equal to the increase in generation, necessary for the electric power provided by firms. For consumers, the quality of power supply depends on the voltage magnitude level, which is also considered and hence the objective of the problem becomes the multi objective of loss minimization and the minimization of voltage deviation. In this paper, the optimal location and size of the capacitor is found using a new computational intelligent algorithm called Flower Pollination Algorithm (FPA). To calculate the power flow and losses in the system, novel data structure load flow is introduced. In this, each bus is considered as a node with bus associated data. Links between the nodes are distribution lines and their own resistance and reactance. To validate the developed FPA solutions standard test cases, IEEE 33 and IEEE 69 radial distribution systems are considered.
2
Content available remote Simple Linear Comparison of Strings in V -order
EN
In this paper we focus on a total (but non-lexicographic) ordering of strings called V - order. We devise a new linear-time algorithm for computing the V -comparison of two finite strings. In comparison with the previous algorithm in the literature, our algorithm is both conceptually simpler, based on recording letter positions in increasing order, and more straightforward to implement, requiring only linked lists.
EN
This paper presents sources of weather information necessary and useful when programming the ship route. Particular attention was given for publicly accessible information. Available data was categorized by groups of validity. The localization and the structure of weather data such as resolution, coverage, limitations, forecast time, etc. were described. The principles of naming the files containing the selected weather data in GRIB (gridded binary) format were presented.
PL
W artykule przedstawiono źródła informacji pogodowej koniecznej i przydatnej podczas programowania trasy statku. Szczególną uwagę poświęcono informacjom ogólnodostępnym. Dostępne dane uszeregowano według grup ważności. Opisano lokalizację i strukturę danych pogodowych, takich jak rozdzielczość, pokrycie, ograniczenia, czas prognozy, itp. Przedstawiono zasady nazewnictwa plików zawierających wybrane dane pogodowe w formacie GRIB.
PL
Niniejszy artykuł zawiera opis struktur sygnałów stosowanych przy pobieraniu danych z tachografu cyfrowego różnych typów na nośniki zewnętrzne, wraz z protokołami, które muszą być wdrożone w celu zagwarantowania prawidłowego przesyłania danych i pełnej zgodności formatu wczytanych danych, tak by umożliwić każdemu kontrolerowi sprawdzenie tych danych oraz sprawdzenie autentyczności i integralności przed przystąpieniem do analizy danych.
EN
This article describes the structures of the signals used in retrieving data with different types of digital tachograph in outdoor media, and protocols that must be implemented to ensure correct data transfer and full compliance of the downloaded data format, so as to allow each controller to verify the data and verifying the authenticity and integrity before data analysis.
EN
Recent years the cataclysm of flood has occurred in many regions around the world. For this reason, so much attention is focused on prediction of this cataclysm by creating flood risk maps and hydrodynamic – numerical simulation of flood water which are based on Digital Terrain Model (DTM). The modern techniques for automatic data acquisition provide very abundant amount of points. Actually, Light Detection and Ranging (LiDAR) is the most effective data source for DTM creation with density of one to few points per square meter and good height accuracy of less than 15 cm. This high redundancy of data is essential problem for algorithms used in programs for flood modeling. Many software generating such models are restricted with respect to the maximum number of points in DTM. Hundreds of thousands of points are too large number for complex calculations which describe fluid model of the flood water. In order to obtain reliable and accurate results, it is necessary to have DTM with an appropriate accuracy. The flood disaster also occurs in large areas what usually is associated with large data sets. However, it is possible to provide suitable DTM for flood modeling by its generalization without losing its accuracy, which could still ensure sufficient precision for hydrodynamic – numerical calculations. In this paper six reduction algorithms were tested to obtain DTM with small number of points and with accuracy comparable to the original model created from LiDAR data. The main criteria for this comparison was the relation between accuracy and reduction coefficient of final result. Methods used in this research were based on different DTM structures. GRID, TIN and hierarchical structures were compared in various approaches to obtain the most reduced and the most accurate terrain model of two study areas. As the result of the experiment the best methods for data reduction were chosen. Over 90% reduction rate and less than 20 cm root mean standard error were achieved in practice for different types of terrain with respect to input DTM. It was noted that hybrid and quad-tree grid based models can be even more efficient than a typical uniform GRID or TIN one.
PL
Europejska inicjatywa INSPIRE jest przedsięwzięciem, którego rolę w zakresie udostępniania geoinformacji o środowisku trudno jest przecenić. Podstawą tej inicjatywy jest Ramowa Dyrektywa Parlamentu Europejskiego, która dotyczy ustanowienia ESDI (Infrastructure for Spatial Information in the European Community - INSPIRE). Wśród 34 zakresów tematycznych, których dane będą udostępniane, znajdują się także dane z zakresu geologii i hydrologii, a w konsekwencji także dane hydrogeologiczne. Zastosowanie najnowszych technologii interoperacyjnych stwarza użytkownikom zupełnie nowe możliwości dostępu w trybie on-line do wielkich zasobów geoinformacyjnych w postaci cyfrowej, które dotychczas były trudno dostępne, a często także praktycznie niedostępne. Pożytek z bezpośredniego dostępu do tych zasobów nakłada jednak na środowisko hydrogeologów także obowiązki. Inne środowiska będą miały również prawo dostępu do informacji hydrogeologicznej. W konsekwencji tego dyrektywa INSPIRE nakłada obowiązek udostępniania danych hydrogeologicznych w formach i strukturach precyzyjnie określonych w przepisach wykonawczych tej dyrektywy.
EN
European initiative INSPIRE is an undertaking which role in scope of environmental geospatial information providing cannot be overestimated. The base of this initiative is Framework Directive of European Parliament, which establishes an Infrastructure for Spatial Information in the European Community (INSPIRE). Among 34 thematic domain, which data will be provided, spatial data in scope of geology, hydrology and in consequence also in scope of hydrogeology will occur. Application of advanced interoperable technologies creates for users completely new possibilities of access in on-line mode to large resources of geospatial information in digital form, which were hard to reach previously and as well often practically unavailable. Benefit from direct access to these resources imposes on hydrogeologists community also an obligation. Other communities will have access rights to hydrogeological information also. In consequence of this, Directive ISPIRE imposes an obligation to make hydrogeological data available in forms and structures precisely specified in implementation rules of the Directive.
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