Abstract: A system for warning a driver based on the road curvature consisting of multiple integrated cameras to acquire the images of different scales simultaneously, a camera controller to configure the cameras based on the vehicle speed and visibility criteria, a processor to analyze the multi-scale images to construct the mosaic, and warning generation subsystem to warn the driver about the safety speed based on the comparison of the mosaic with the curvature templates.

Abstract: A fault identification system analyzes alarm information and the associated contextual information to identify the occurred faults. The contextual information is based on usecases, transactions, and functions associated with the electronic system under consideration. Multiple detectors that form part of knowledge repositories are used in the process of fault identification.

Abstract: An information filtering process designed to sort through large volumes of dynamically generated textual information, incrementally learning process that learns as new text documents arrive and the user grades them by providing feedback. Text-based documents either dynamically retrieved from the Web or available in a textual repository on an Intranet are represented by applying key-word weighting's after capturing the user reasoning for classifying the document as relevant or irrelevant. When a new item (document) arrives, the learning agent suggests a classification and also provides an explanation by pointing out the main features (key-phrases) of the item (document) responsible for its classification. The user looks at this and provides hints by showing a list of features (key-phrases) and are truly responsible for a particular way of classifying the document. This interaction method contributes to the learning process.