scholarly journals The Identification of Possible Applications of the E-Loran System

2018 ◽  
Vol 25 (1) ◽  
pp. 165-186
Author(s):  
Krzysztof Czaplewski ◽  
Adam Weintrit

AbstractGlobal Navigation Satellite Systems (GNSS) more and more affect many areas of human activity in the world. Every day human activity around the world depends upon satellite systems for positioning, navigation and timing. As these systems are commonly used further efforts must be made to make GNSS more immune to on occurring more and more frequently incidents of jamming and spoofing. It seems that eLoran system is currently the best the technical and scientific solution to allowing for effective protection of the Global Navigation Satellite Systems. Last year the authors presented eLoran system as a potential tool for transmission of the national time signal [Curry et al., 2017]. This time the authors present abilities of additional use of the eLoran as a back-up system for GNSS.

Author(s):  
Kamil MACIUK ◽  
Yuriy RUDYK

Currently, global navigation satellite systems (GNSS) play a key role in the broad field of security and human life. In principle, almost every area of human activity (for example, mining, energy or construction) systems related to saving human life are introduced. Generally, satellite navigation is an indispensable element of this type of systems. In this paper, authors present basic principles of the GNSS operation and the current state of knowledge about usage of the global navigation satellite systems in the area of safety, protection and rescue issues.


2013 ◽  
Vol 19 (4) ◽  
pp. 746-764 ◽  
Author(s):  
Luciana Maria da Silva ◽  
Rodrigo Mikosz Gonçalves ◽  
Milde Maria da Silva Lira ◽  
Pedro de Souza Pereira

O crescimento da urbanização vem provocando grandes transformações nas relações sociais e morfológica das áreas costeiras. O presente trabalho tem como objetivo modelar massa de dados de diversas fontes como GNSS (Global Navigation Satellite Systems) e sensoriamento remoto para posteriormente prover a espacialização da vulnerabilidade costeira à erosão utilizando a lógica fuzzy. O método aplicado para análise da vulnerabilidade utilizou variáveis linguísticas, partições fuzzy, intervalos e análises paramétricas que caracterizam a modelagem fuzzy. Após análise, os níveis de vulnerabilidade à erosão costeira ao longo da linha de costa nas cidades do Recife e Jaboatão dos Guararapes no litoral de Pernambuco apresentaram os seguintes resultados: 33,33% da linha de costa possuem vulnerabilidade baixa, 38,15% possui vulnerabilidade moderada, 14,26% vulnerabilidade alta e 14,26% muito alta.


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