Temat: NASA software - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Analysis of tropospheric contribution to GPS positioning error during tropospheric cyclone Marcus in 2018
Autorzy:: Sikirica, N.
Horvat, M.
Špoljar, D.
Rumora, I.
Powiązania:: https://bibliotekanauki.pl/articles/116217.pdf
Data publikacji:: 2020
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: Global Navigation Satellite System (GNSS)
Global Positioning System (GPS)
cyclone Marcus
positioning
Navigation and Timing (PNT)
Port Darwin
NASA Earth Observatory
tropospheric correction
Software-Defined Radio (SDR)
Opis:: GNSS positioning performance assessment is essential for sustainable development of a growing number of GNSS-based technology and socio-economic applications. Case-studies of GNSS positioning performance in critical environments and applications scenarios reveals vulnerabilities of the GNSS Positioning, Navigation, and Timing (PNT) services, and suggest mitigation techniques and GNSS application risk containment. Here we address the case of GPS positioning performance during a devastating tropical cyclone Marcus that hit the greater area of the city of Darwin, Australia in 2018. We identified specific statistical properties of time series of tropospheric contribution to GPS northing, easting, and vertical positioning error that may contribute to understanding of tropospheric effects on GPS positioning performance during a massive weather deterioration in maritime and coastal areas, and analysed their adversarial effects on GNSS-based maritime applications.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 2; 343-348
2083-6473
2083-6481
Pojawia się w:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: A Novel Technique of Optimization for the COCOMO II Model Parameters using Teaching-Learning-Based Optimization Algorithm
Autorzy:: Khuat, T. T.
Le, M. H.
Powiązania:: https://bibliotekanauki.pl/articles/309064.pdf
Data publikacji:: 2016
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: COCOMO II
cost estimation
NASA software
optimization
teaching-learning-based optimization algorithm
Opis:: Software cost estimation is a critical activity in the development life cycle for controlling risks and planning project schedules. Accurate estimation of the cost before the start-up of a project is essential for both the developers and the customers. Therefore, many models were proposed to address this issue, in which COCOMO II has been being widely employed in actual software projects. Good estimation models, such as COCOMO II, can avoid insufficient resources being allocated to a project. However, parameters for estimation formula in this model have not been optimized yet, and so the estimated results are not close to the actual results. In this paper, a novel technique to optimize the coefficients for COCOMO II model by using teaching-learning-based optimization (TLBO) algorithm is proposed. The performance of the model after optimizing parameters was tested on NASA software project dataset. The obtained results indicated that the improvement of parameters provided a better estimation capabilities compared to the original COCOMO II model.
Źródło:: Journal of Telecommunications and Information Technology; 2016, 1; 84-89
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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