Wyniki wyszukiwania dla: BOOSTER STATION ALLOCATION - MOST Wiedzy

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Wyniki wyszukiwania dla: BOOSTER STATION ALLOCATION

Wyniki wyszukiwania dla: BOOSTER STATION ALLOCATION

  • Method of selective fading as a educational tool to study the behaviour of prestressed concrete elements under excess loading

    Prestressed structures are a key to realization of the boldest architectural ideas, characteristic feature of prestressed structure is better use of concrete material properties by insertion of internal forces. Learning about pre-stressed reinforced concrete structures is an integral part of Graduate Studies Program in construction engineering. Know-how of geometry change patterns in prestressed concrete elements under certain...

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  • PROBABLE RAINFALL IN GDAŃSK IN VIEW OF CLIMATE CHANGE

    One of the manifestations of climate changes is the occurrence of a greater number of precipitation events, characterized by greater rain intensity that affects the economic stability of cities. Gdańsk is an example of a city in which such events have occurred since the beginning of the twenty-first century. Due to the altitude differences in the area of Gdańsk city (between –2 m and 180 m a.s.l.), the occurrence of extreme atmospheric...

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  • Has EGNOS its own place in maritime navigation?

    Publikacja

    - Rok 2015

    GNSS (in fact it usually means GPS) is at the moment the fundamental means of positioning for any variants of navigation. However some attributes of it can be not sufficient for every users or in some tasks, so there are any cases when this system needs support. From the mariner point of view pure GPS properties perfectly fulfils expectations of sailors at the open sea, however there are lot of cases, when accuracy of the system...

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  • Badania i analiza uwarunkowań propagacyjnych w środowisku uprzemysłowionym

    Publikacja

    - Rok 2013

    Główne osiągnięcia rozprawy: - wykonanie – zgodnie z wymaganiami normatywnymi zawartymi w zaleceniach ITU-R – nowatorskich badań tłumienia sygnału radiowego na terenie Głębokowodnego Terminalu Kontenerowego (ang. Deepwater Container Terminal - DCT) w Gdańsku i zebranie obszernego materiału pomiarowego, liczącego blisko 290 tysięcy przypadków propagacyjnych, - przeprowadzenie statystycznych badań przydatności wybranych znanych modeli...

  • Model organizacji ruchu na sieci kolejowej z uwzględnieniem rekuperacji energii

    Publikacja

    - Rok 2018

    Na wstępie przeanalizowano aktualny stan wiedzy z zakresu metod wykorzystywania energii z rekuperacji oraz istniejących modeli optymalizujących ich efektywność. Na tej podstawie za główny cel pracy wyznaczono opracowanie metody modyfikacji kolejowego rozkładu jazdy, która doprowadzi do zwiększenia efektywności wykorzystania energii pochodzącej z rekuperacji. W związku z powyższym postawiono tezę, że możliwe jest zwiększenie efektywności...

  • Urban Project IV. Summer semester - ERASMUS

    Kursy Online
    • Ł. Pancewicz

    Course Urban Project IV (AI_MK_28/1) SHAPING A NEW DISTRICT – WHITE RIVER (POL. BIAŁA RZEKA) IN THE CITY OF RUMIA The subject of the exercises is to design the spatial layout of the new district in the area of ​​the so-called Small Tricity. The task of the group will be to develop initial design guidelines - layout and character of buildings, primar building parameters, service program. The planned construction of the new SKM...

  • AVHRR Level1CD covering Baltic Sea area year 2006

    Dane Badawcze

    The product level is the NOAA AVHRR Level 1C that is result of processing the AVHRR data from the HRPT stream based on ancillary information like sensing geometry and calibration data. Then converted into geophysical variables: top-of-the atmosphere (TOA) albedo or brightness temperature. Additionally, information like geolocation has been added. Other...

  • AVHRR Level1CD covering Baltic Sea area year 2010

    Dane Badawcze

    The product level is the NOAA AVHRR Level 1C that is result of processing the AVHRR data from the HRPT stream based on ancillary information like sensing geometry and calibration data. Then converted into geophysical variables: top-of-the atmosphere (TOA) albedo or brightness temperature. Additionally, information like geolocation has been added. Other...

  • AVHRR Level1CD covering Baltic Sea area year 2007

    Dane Badawcze

    The product level is the NOAA AVHRR Level 1C that is result of processing the AVHRR data from the HRPT stream based on ancillary information like sensing geometry and calibration data. Then converted into geophysical variables: top-of-the atmosphere (TOA) albedo or brightness temperature. Additionally, information like geolocation has been added. Other...

  • AVHRR Level1CD covering Baltic Sea area year 2011

    Dane Badawcze

    The product level is the NOAA AVHRR Level 1C that is result of processing the AVHRR data from the HRPT stream based on ancillary information like sensing geometry and calibration data. Then converted into geophysical variables: top-of-the atmosphere (TOA) albedo or brightness temperature. Additionally, information like geolocation has been added. Other...

  • AVHRR Level1CD covering Baltic Sea area year 2012

    Dane Badawcze

    The product level is the NOAA AVHRR Level 1C that is result of processing the AVHRR data from the HRPT stream based on ancillary information like sensing geometry and calibration data. Then converted into geophysical variables: top-of-the atmosphere (TOA) albedo or brightness temperature. Additionally, information like geolocation has been added. Other...

  • AVHRR Level1CD covering Baltic Sea area year 2008

    Dane Badawcze

    The product level is the NOAA AVHRR Level 1C that is result of processing the AVHRR data from the HRPT stream based on ancillary information like sensing geometry and calibration data. Then converted into geophysical variables: top-of-the atmosphere (TOA) albedo or brightness temperature. Additionally, information like geolocation has been added. Other...

  • AVHRR Level1CD covering Baltic Sea area year 2009

    Dane Badawcze

    The product level is the NOAA AVHRR Level 1C that is result of processing the AVHRR data from the HRPT stream based on ancillary information like sensing geometry and calibration data. Then converted into geophysical variables: top-of-the atmosphere (TOA) albedo or brightness temperature. Additionally, information like geolocation has been added. Other...