Autonomous Pedestrian Collision Avoidance Using a Fuzzy Steering Controller (Electronics Project)

Collision avoidance is one of the most difficult and challenging automatic driving operations in the domain of intelligent vehicles. In emergency situations, human drivers are more likely to brake than to steer, although the optimal maneuver would, more frequently, be steering alone. This statement suggests the use of automatic steering as a promising solution to avoid accidents in the future. […]

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Propagating Degrees of Truth on an Argumentation Framework (Computer Project)

This paper proposes a computational framework to reason with conflicting and gradual evidence. The framework is a synthesis of Dung’s seminal work in argumentation semantics with multi-valued logic. Abstract grounded semantics is used to identify the conditions under which a conclusion can be accepted, while multi-valued logic operators are used to quantify the degree of truth of such conditions. We […]

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Sensor Less Control of Induction Machines, in Railway Applications (Electronics/Electrical Project)

In this project, a sensor-less system has been developed for an induction machine in railway applications. The approach which was taken in this project thesis is a consequence of the expectations of the company: investigate the possibilities of having the current generation of Alstom’s drive system working without use of a speed sensor. Some tests have thus been performed in […]

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Optimized Fuzzy Based Power Control Strategy in Cognitive Radio Networks in Multi Fading Propagation Environments (Electronics Project)

In this thesis we have considered a cognitive radio network (CRN) with a pair of primary user (PU) and secondary user (SU) in spectrum sharing networks in path-loss and without path-loss propagation environments under identically distributed m-Nakagami fading channel. The thesis consists of three parts. In the first part we propose an optimized Takagi-Sugeno Fuzzy Inference System (FIS) based power […]

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