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An automatic summarization system for local assembly minutes is described. Our system is unique in the following two points: First, the completeness that puts emphasis on the readability of the generated summary is realized. Secondly, the preference that prioritizes the selection based on the viewpoint on the content of the summary is considered. Our system has a two-level structure that brings about...
An artificial neural network (ANN) based helicopter identification system is proposed. All helicopters emit certain characteristic acoustic signatures, which are specific to them. This is due to some differences in their structures and design. These differences in acoustic signatures can be used with neural networks for detection and classification of different types of helicopters. The conventional...
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.
We present a novel approach to handle uncertainty, by assuming an irrational view of the world thus breaking with the tradition of taking a rational view. We propose a solution that handles irrationalities by generating different hypotheses of the environment and testing these for their validity thereby fully automating the abductive loop. By assuming the irrational view, we focus on a fundamental...
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