Wyniki wyszukiwania - BazTech

1

Selected problems pertaining to modernisation of land and building records – determinationof boundaries of real estate plots

Budkowski Szczepan, Gniadek Jacek

Geomatics, Landmanagement and Landscape

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2019

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no. 3

17--24

EN

In Poland, the land and building records (EGiB) function as real estate cadastre, and are subject to periodic and on-going updating in accordance with applicable regulations. In addition to upgrades aimed at bringing the field status in line with the registration status, land and building records’ modernizations are also being carried out. The purpose of modernization is to improve the quality of collected data as well as their standardization and harmonization. Modernization works can be carried out through field measurements or the use of photogrammetric technology. The purpose of this publication is to clarify the problems associated with determining the boundaries of registration plots in the context of modernization works performed using the photogrammetric method. The paper includes an assessment of technical and legal aspects related to the above-mentioned tasks.

PL

Ewidencja gruntów i budynków pełni w Polsce rolę katastru nieruchomości i zgodnie z obowiązującymi przepisami podlega okresowej i bieżącej aktualizacji. Oprócz aktualizacji mającej na ceku doprowadzenie do zgodności stanu terenowego ze stanem ewidencyjnym wykonywane są również modernizacje gruntów i budynków. Celem modernizacji jest poprawa jakości gromadzonych danych oraz ich standaryzacja i harmonizacja. Prace modernizacyjne mogą być wykonywane poprzez pomiary terenowe lub przy pomocy techniki fotogrametrycznej. Celem publikacji jest wyeksplikowanie problemów związanych z ustaleniem przebiegu granic działek ewidencyjnych w kontekście prac modernizacyjnych wykonywanych metodą fotogrametryczną. Artykuł zawiera ocenę aspektów technicznych oraz prawnych związanych z wyżej wymienionymi zadaniami.

2

ECDIS Limitations, Data Reliability, Alarm Management and Safety Settings Recommended for Passage Planning and Route Monitoring on VLCC Tankers

Rutkowski G.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

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2018

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Vol. 12, no. 3

483--490

EN

The purpose and scope of this paper is to describe the factors to consider when determining Electronic Chart Display and Information System (ECDIS) limitation, data reliability, alarm management and ship’s safety parameter settings. For the optimum situational awareness, navigators must always recognize the level of display for objects presented when using ECDIS. The values for the safety depth and safety contour must be understood and entered to achieve a sensible and considered meaning and alarm settings. The navigators must remember that the display of underwater obstructions or isolated danger symbols can change according to the settings of this safety contour which also marks the division between navigable (safe) and non-navigable (unsafe) water. Improper management of the system may result in the anti-grounding alarms and other indications failing to activate as required for the safe conduct of the navigation. Consequently, it could give a false impression of safe waters around the vessel where some dangers may not be shown due to the limitations imposed by original chart scale. This paper recognizes the limitations of ECDIS display, the significance of appropriate safety settings as well as the alarm management recommended for passage planning & route monitoring on VLCC tankers.

3

Vector Approach to Context Data Reliability

Tunia M. A.

Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica

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2014

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Vol. 14, no. 2

60--75

EN

Context-aware processing is a part of intensively developed ubiquitous computing andmobile systems. Surrounding awareness is used to introduce new functions and solutions. Some categories of the context data are taken for security purposes in the context-aware security implementations.This kind of data has to meet some conditions since it is used for decision making about security mechanisms adaptation and configuration. One of these conditions is reliability. The paper presents vector approach to context data reliability assessment introducing mechanism which allows to assess reliability parameters for further usage in context aware security processing. The following aspects of the context data are taken into account: interface reliability, data quality, data source reliability and security level. Introducing reliability metric for context data may be beneficial to other mechanisms which utilize context data. The vector form of reliability may be even more flexible than the scalar value.

4

Assessment of AIS vessel position report under the aspect of data reliability

Banyś P., Noack T., Gewies S.

Annual of Navigation

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2012

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No. 19, part 1

5--16

EN

Since its introduction the Automatic Identification System (AIS) has played an important part in improving safety at sea, making bridge watchkeeping duties more comfortable and enhancing vessel traffic management ashore. However the analysis of a AIS data set describing the vessel traffic of the Baltic Sea came to conclusion, that specific parameters with relevance to navigation seemed to be defective or implausible. Essentially, it concerned the true heading (THDG) and the rate of turn (ROT) parameters. With the paper we are trying to clarify, which parameters of the AIS position report and to what extent, are affected. The detailed data analysis gives answers on how reliable the AIS data in different traffic areas is.

5

Credibility Coefficients for Objects of Rough Sets

Podraza R., Dominik A.

Studia Informatica : systems and information technology

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2006

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Vol. 1(7)

93--104

EN

In this paper focus is set on data reliability. We propose a few methods, which calculate credibility coefficients for objects stored in decision tables. Credibility coefficient of object is a measure of its similarity with respect to the rest of the objects in the considered decision table. It can be very useful in detecting either corrupted data or abnormal and distinctive situations. It is assumed that the proper data appear in majority and can be separated from improper data by exploring mutual resemblance. The proposed methods take advantage of well known and widely used data mining technique - rough sets.