Page 29 - ITU-T Focus Group on Aviation Applications of Cloud Computing for Flight Data Monitoring - Key findings, recommendations for next steps and future work

ITU-T Focus Group on Aviation Applications of Cloud Computing for Flight Data Monitoring
Key findings, recommendations for next steps and future work

regularity of flights. Communication required for the exercise of authority over the initiation, continuation,
diversion or termination of flight for safety, regularity and efficiency reasons.

1.12 airline passenger correspondence (APC) (Deliverable 4): Airline passenger correspondence (APC) includes
communication services that are offered to passengers, both for data and voice. It mainly consists of the traffic
connecting to the Internet and placing phone calls. Bandwidth required for air traffic control (ATC), airline operational
communication (AOC) (and airline administrative communications (AAC)) is negligible compared to APC.

1.13 air traffic control (ATC) (Deliverable 1, 2&3 and 4): ATC is a service provided by ground-based controllers
who direct aircraft on the ground and through controlled airspace. The primary purpose of ATC worldwide
is to prevent collisions, organize and expedite the flow of traffic, initiate search and rescue procedures, and
provide information and other support for pilots. Many technologies are used in air traffic control systems.
Primary and secondary radar are used to enhance a controller's situation awareness within his assigned
airspace. These inputs, added to data from other radars, are correlated to build the air situation. Usually, a
flight data processing system manages all the flight plan related data, incorporating the information of the
track once the correlation between them (flight plan and track) is established.

1.15 association rule learning (Deliverable 1): Method for discovering interesting relations between variables
in large databases.
1.16 automated celestial navigational system (ANS) (Deliverable 2&3): Automated position fixing that enables
a navigator to transition through a space without having to rely on estimated calculations, or dead reckoning,
to know his or her position.
1.17 automatic dependent surveillance-broadcast (ADS-B) (Deliverable 1, 2&3 and 4): A cooperative surveillance
technology in which an aircraft determines its position via satellite navigation and periodically broadcasts it,
enabling it to be tracked. The information can be received by air traffic control ground stations as a replacement for
secondary radar. It can also be received by other aircraft to provide situational awareness and allow self-separation.

1.18 automatic dependent surveillance-contract (ADS-C) (Deliverable 1, 2&3 and 4): A method of surveillance
that relies on (is dependent on) downlink reports from an aircraft's avionics that occur automatically in
accordance with contracts established between the air traffic control (ATC) ground system and the aircraft's
avionics. Reports can be sent whenever specific events occur, or specific time intervals are reached. ADS-C
provides accurate surveillance reports in remote and oceanic areas. The reports are converted by more
advanced data link equipped ground stations into a track and presented on the controller's air situation display
to provide enhanced situational awareness and the potential for reduced separation standards.

1.19 Bayesian network (Deliverable 1): A Bayesian network, belief network or directed acyclic graphical model is
a probabilistic graphical model that represents a set of random variables and their conditional independencies
via a directed acyclic graph (DAG).

1.20 central maintenance computer (CMC) (Deliverable 2&3 and 4): CMC is used to facilitate maintenance
tasks by directly indicating the fault messages in the cockpit, and allowing some specific tests.

1.21 cloud-based disaster recovery (DR) (Deliverable 1): Use of connectivity to compute and to store hosted
resources on remote, elastic, multi-tenancy clouds to enable more cost-effective and flexible protection of
data at a distance.

1.22 cluster analysis (clustering) (Deliverable 1): Assignment of a set of observations into subsets (called
clusters) so that observations within the same cluster are similar according to some predesignated criterion
or criteria, while observations drawn from different clusters are dissimilar.

1.23 controller-pilot data link communication (CPDLC) (Deliverable 2&3 and 4): A method by which air traffic
controllers can communicate with pilots over a data link system.
1.24 data analytics (Deliverable 1): Process of examining data to uncover hidden patterns, unknown correlations
and other useful information that can be used to make better decisions.

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