A Complexity Assessment for Queries Involving Sufficient and Necessary Causes

Author(s):  
Pedro Cabalar ◽  
Jorge Fandiño ◽  
Michael Fink
2016 ◽  
Vol 145 ◽  
pp. 491-496 ◽  
Author(s):  
Bac Dao ◽  
Sharareh Kermanshachi ◽  
Jennifer Shane ◽  
Stuart Anderson

1987 ◽  
Vol 12 (4) ◽  
pp. 52-71 ◽  
Author(s):  
L. Waguespack ◽  
S. Badiani

2014 ◽  
Author(s):  
Odile Troigros ◽  
Yannick Béjot ◽  
Patricia Marquez Rodriguez ◽  
Farhat Shoaib ◽  
Henrietta Ellis ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1559
Author(s):  
Gomez Comendador ◽  
Arnaldo Valdés ◽  
Vidosavljevic ◽  
Sanchez Cidoncha ◽  
Zheng

The most relevant SESAR 2020 solutions dealing with future Capacity Management processes are Dynamic Airspace Configuration (DAC) and Flight Centric ATC (FCA). Both concepts, DAC and FCA, rely on traffic flow complexity assessment. For this reason, complexity assessments processes, methods and metrics, become one of the main constraints to deal with the growing demand and increasing airspace capacity. The aim of this work is to identify the influence of trajectories’ uncertainty in the quality of the predictions of complexity of traffic demand and the effectiveness of Demand Capacity Balance (DCB) airspace management processes, in order to overcome the limitations of existing complexity assessment approaches to support Capacity Management processes in a Trajectory-Based Operations (TBO) environment. This paper presents research conducted within COTTON project, sponsored by the SESAR Joint Undertaking and EU’s Horizon 2020 research and innovation program. The main objective is to deliver innovative solutions to maximize the performance of the Capacity Management procedures based on information in a TBO environment.


Procedia CIRP ◽  
2020 ◽  
Vol 93 ◽  
pp. 694-699
Author(s):  
Boris Brinzer ◽  
Konstanze Schneider

Procedia CIRP ◽  
2016 ◽  
Vol 44 ◽  
pp. 429-434 ◽  
Author(s):  
Bugra Alkan ◽  
Daniel Vera ◽  
Mussawar Ahmad ◽  
Bilal Ahmad ◽  
Robert Harrison

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