@InProceedings{Ribeiro:2014:StArIn,
               author = "Ribeiro, Edson Alves",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Strategies from artificial intelligence area to solve the problem 
                         of real-time Planning and Re-planning",
                 year = "2014",
               editor = "WETE, Comiss{\~a}o Organizadora do",
         organization = "Workshop em Engenharia e Tecnologia Espaciais, 2014. (WETE).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Satellites Control, Flight Plan, Planning, Artificial 
                         Intelligence.",
             abstract = "The space area community has a strong interest in reducing costs 
                         related to control of satellites. The ground stations can track 
                         multiple satellites, and consequently, scheduling conflicts may 
                         occur between different satellite passes over the same ground 
                         station. In particular case of INPE there is a concern to increase 
                         the reliability of mission operations, which in some cases are 
                         still manually performed. This article presents an architecture 
                         consisting of modules that manage the allocation of ground 
                         resources for tracking multiple satellites and plan to control 
                         operations of these satellites.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos",
      conference-year = "12–14 ago. 2014",
                label = "self-archiving-INPE-MCTI-GOV-BR",
                  ibi = "8JMKD3MGP5W34M/3HE9SUH",
                  url = "http://urlib.net/ibi/8JMKD3MGP5W34M/3HE9SUH",
           targetfile = "32_[ARTIGO][CSE]_edsonRibeiro.pdf",
        urlaccessdate = "27 abr. 2024"
}