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Dynamic Airline Scheduling

Transportation Science, 2009
Demand stochasticity is a major challenge for the airlines in their quest to produce profit maximizing schedules. Even with an optimized schedule, many flights on departure have empty seats while others suffer a lack of seats to accommodate passengers who desire to travel.
Hai Jiang, Cynthia Barnhart
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Dynamic Scheduling on Heterogeneous Multicores

2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2019
Heterogeneous multicore systems can help adherence to design goals by providing a diverse set of hardware components to meet application requirements. Each core may also have tunable hardware that can reconfigured for different applications. However, scheduling becomes difficult in the presence of tunable hardware due to the additional constraint that ...
Ruben Vazquez   +3 more
openaire   +1 more source

Dynamics of propranolol dosing schedules

Clinical Pharmacology and Therapeutics, 1983
Kinetic and dynamic data from 27 healthy male subjects were evaluated in a double-blind, randomized, double-crossover study to test the hypothesis that 180 mg/day propranolol twice and three times a day would provide much the same plasma levels and beta 1-blockade. The data indicate that propranolol twice rather than three times a day should be favored
J B, Coelho   +8 more
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Dynamic DVFS Scheduling

2007
As discussed in the previous chapter, offline analysis can be used to generate a schedule of DVFS state changes to minimize energy consumption, while ensuring sufficient processing cycles are available for all tasks to meet their deadlines, even under worst-case computation requirements.
Padmanabhan S. Pillai, Kang G. Shin
openaire   +1 more source

Dynamic Journeying in Scheduled Networks

IEEE Transactions on Intelligent Transportation Systems, 2013
We study a dynamic-journey planning problem for multimodal transportation networks. The goal is to find a journey, possibly involving transfers between different transport modes, from a given origin to a given destination within a specified time horizon.
Hakula, Harri, Hame, Lauri
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Dynamic leading-edge flap scheduling

13th Applied Aerodynamics Conference, 1995
We report on an experimental determination of a leading-edge flap schedule used to maintain attached flow during arbitrary dynamic pitch motions of a NACA 0009 airfoil. The airfoil could be made to dynamically pitch about its midchord, and was equipped with a 20% leading-edge flap and 27% trailing-edge flap, both of which could be independently and ...
R. M. Rennie, E. J. Jumper
openaire   +1 more source

Scheduling Dynamic Graphs

1999
In parallel and distributed computing scheduling low level tasks on the available hardware is a fundamental problem. Traditionally, one has assumed that the set of tasks to be executed is known beforehand. Then the scheduling constraints are given by a precedence graph. Nodes represent the elementary tasks and edges the dependencies among tasks.
Andreas Jakoby   +2 more
openaire   +1 more source

Agent-Based Dynamic Manufacturing Scheduling

Manufacturing Science and Engineering, Parts A and B, 2006
Manufacturing enterprises are facing a major challenge to improve their production efficiency in order to survive in a globally competitive market. There is an opportunity to develop and apply intelligent scheduling software tools to improve their productivity and profitability.
Shen, W., Hao, Q.
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Dynamic flight scheduling

Omega, 1989
Abstract The success of Cathay Pacific Airways depends very much on the performance of its planning department. One of the main operations of the Airline Planning Department is flight scheduling which is done in two stages. First, a seasonal schedule is established according to the market demand, resource capacities and environmental constraints. The
openaire   +1 more source

Dynamic scan scheduling

23rd IEEE Real-Time Systems Symposium, 2002. RTSS 2002., 2003
We present an approach to computing cyclic schedules online and in real time, while attempting to maximize a quality-of-service metric. The motivation is the detection of RF emitters using a schedule that controls the scanning of disjoint frequency bands.
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