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We describe a scheduling system that supports collaboration between the user and automated optimizer. It enables the user to monitor the optimizer decisions, make any of the decisions manually, and leave the other decisions to the system. Furthermore, it identifies the tasks that require the user's participation, and asks for assistance with these tasks.
In wireless sensor and pervasive networks, multihop networking is expected to be the norm, rather than exception. However, the current paradigm for medium access control (MAC) in wireless LANs/PANs cannot handle the interference issue well and lead to high collision rates in multihop networks, resulting in considerable waste of energy. Also, it is particularly beneficial to employ directional antennas...
A schedule coordination problem involving two train services provided by different operators is modeled as an optimization of revenue intake. The coordination is achieved through the adjustment of commencement times of the train services by negotiation. The problem is subject to constraints regarding to passenger demands and idle costs of rolling-stocks from both operators. This paper models the operators...
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