@MastersThesis{Barbosa:2017:AqDaCa,
author = "Barbosa, Ivan M{\'a}rcio",
title = "Aquisi{\c{c}}{\~a}o de dados de carga {\'u}til de plataformas
orbitais com o aux{\'{\i}}lio de t{\'e}cnicas de
intelig{\^e}ncia artificial",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2017",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2016-11-30",
keywords = "intelig{\^e}ncia artificial, sistemas especialistas,
sat{\'e}lites, CLIPS, design science research, artificial
intelligence, expert systems, satellite.",
abstract = "Este trabalho utiliza o m{\'e}todo cient{\'{\i}}fico Design
Science Research para condu{\c{c}}{\~a}o de pesquisas
cient{\'{\i}}ficas e prop{\~o}e a cria{\c{c}}{\~a}o de um
prot{\'o}tipo de sistema especialista denominado Payload Data
Acquisition and Dissemination Expert System (PDAD-ES). O sistema
especialista PDAD-ES contempla o estudo de caso para
configura{\c{c}}{\~a}o das esta{\c{c}}{\~o}es terrenas de
recep{\c{c}}{\~a}o de dados dos sat{\'e}lites COSMIC-2,
LANDSAT-8 e GOES-R e o estudo de caso para
identifica{\c{c}}{\~a}o de anomalias e falhas na
esta{\c{c}}{\~a}o terrena de recep{\c{c}}{\~a}o COSMIC-2 e na
dissemina{\c{c}}{\~a}o dos dados brutos desses sat{\'e}lites
para UCAR e para o EMBRACE do INPE. A defini{\c{c}}{\~a}o dos
requisitos do sistema especialista, o levantamento e o mapeamento
das regras de produ{\c{c}}{\~a}o e o conhecimento gerado nesse
trabalho de pesquisa contribuem para o aperfei{\c{c}}oamento das
atividades relacionadas ao segmento solo no INPE. A
constru{\c{c}}{\~a}o do prot{\'o}tipo PDAD-ES compreende a
codifica{\c{c}}{\~a}o na linguagem de programa{\c{c}}{\~a}o
CLIPS e integra{\c{c}}{\~a}o ao servidor web apache atrav{\'e}s
da extens{\~a}o PHLIPS. Este trabalho tamb{\'e}m descreve as
caracter{\'{\i}}sticas t{\'e}cnicas atuais das
esta{\c{c}}{\~o}es terrenas de recep{\c{c}}{\~a}o de dados de
sat{\'e}lites do INPE, o estudo sobre intelig{\^e}ncia
artificial, sistema especialista e sistemas de solo. ABSTRACT:
This work uses the scientific method Design Science Research to
conduct scientific research and proposes the creation of a
prototype of an expert system named Payload Data Acquisition and
Dissemination Expert System (PDAD-ES). The PDAD-ES expert system
includes a case study to set up the COSMIC-2, LANDSAT-8 e GOES-R
ground receiving stations and the case study to identify anomalies
and failures in COSMIC-2 ground receiving station and raw data
dissemination from these satellites to UCAR and the INPE EMBRACE.
The definition of the requirements of the expert system, the
survey and mapping of the production rules and the knowledge
generated in this research work contribute to the improvement of
the activities related to the ground segment at INPE. The
developing of the PDAD-ES prototype comprises coding in the CLIPS
programming language and integration to the apache web server
through the PHLIPS extension. This work also includes details
about the current technical characteristics of INPE's ground
receiving stations to acquire the payload data, the study of
artificial intelligence, expert systems and ground systems.",
committee = "Mattiello-Francisco, Maria de F{\'a}tima (presidente) and
Ferreira, Maur{\'{\i}}cio Gon{\c{c}}alves Vieira (orientador)
and Chagas Junior, Milton de Freitas and Silva, Rodrigo Rocha",
copyholder = "SID/SCD",
englishtitle = "Orbital platform payload data acquisition with the aid of
artificial intelligence techniques",
language = "pt",
pages = "243",
ibi = "8JMKD3MGP3W34P/3MRECQH",
url = "http://urlib.net/ibi/8JMKD3MGP3W34P/3MRECQH",
targetfile = "publicacao.pdf",
urlaccessdate = "04 maio 2024"
}