This paper addresses the problem of integrating Advanced Traveller Information Systems (ATIS) and Advanced Traffic Management Systems (ATMS). A framework that allows the integration of existing successful control implementations is reviewed. This framework is utilized to integrate the ATISIATMS control decisions of two operational schemes; ATIS stand-alone system (dynamic route guidance), and A...

We present a system that uses ECG time series for reaching decisions regarding the user’s health status. ECG waveforms can provide us with certain features that have diagnostic value for several cases. The system consists of two modules. The first performs the analysis of the ECG data so as to extract the aforementioned features, and the second is a hybrid intelligence system combining neural a...

Prototype-based rules are an interesting alternative to fuzzy and crisp logical rules, in many cases providing simpler, more accurate and more comprehensible description of the data. Such rules may be directly converted to fuzzy rules. A new algorithm for generation of prototype-based rules is introduced and a comparison with results obtained by neurofuzzy systems on a number of datasets provided.

To deal with the complex of vessel autopilot system due to its non-linear nature and the difficulty to describe precisely the vessel behaviour in the seaway using mathematical models, this paper proposes a vessel autopilot intelligent model free control. After collecting the input and output data sample of vessel motion in real-time, the dynamic output feedback control strategy is adopted in wh...

The development of the Feature Space Mapping (FSM) system has been motivated by our conviction that neurodynamical models of the brain are very difficult, it is not clear how to model larger groups of neurons in a realistic way and simple neural networks are not well suited for cognitive modeling. Mind arises from a complex dynamics of the modular and hierarchical brain structures. Approximatio...