An evolutionary algorithm-based approach to robust analog circuit design using constrained multi-objective optimization
The increasing complexity of circuit design needs to be managed with appropriate optimization algorithms and accurate statistical description of design models in order to reach the design specifics, guaranteeing ''zero defects''. In the Design for Yield ...
Merging intelligent agency and the Semantic Web
The Semantic Web makes unique demands on agency. Such agents should: be built around an ontology and should take advantage of the relations in it, be based on a grounded approach to uncertainty, be able to deal naturally with the issue of semantic ...
A flexible framework to experiment with ontology learning techniques
Ontology learning refers to extracting conceptual knowledge from several sources and building an ontology from scratch, enriching, or adapting an existing ontology. It uses methods from a diverse spectrum of fields such as natural language processing, ...
Modelling affective-based music compositional intelligence with the aid of ANS analyses
This research investigates the use of emotion data derived from analyzing change in activity in the autonomic nervous system (ANS) as revealed by brainwave production to support the creative music compositional intelligence of an adaptive interface. A ...
Expressive security policy rules using Layered Conceptual Graphs
A method must be provided to support the analysis of security policy rules interdependencies in a (possibly distributed) environment. We propose a Conceptual Graphs based language that will allow us to represent the structure of information and to ...
Evolving a dynamic predictive coding mechanism for novelty detection
Novelty detection is a machine learning technique which identifies new or unknown information in data sets. We present our current work on the construction of a new novelty detector based on a dynamical version of predictive coding. We compare three ...
On a novel ACO-Estimator and its application to the Target Motion Analysis problem
In the oceanic context, the aim of Target Motion Analysis (TMA) is to estimate the state, i.e. location, bearing and velocity, of a sound-emitting object. These estimates are based on a series of passive measures of both the angle and the distance ...
Fly-by-agent: Controlling a pool of UAVs via a multi-agent system
This paper describes the multi-agent system used to control a package of four uninhabited air vehicles (UAVs). The system has recently been used in a series of test flights where the pilot of a fast jet controlled a team of four UAVs (one real, three ...
CALMsystem: A Conversational Agent for Learner Modelling
This paper describes a system which incorporates natural language technologies, database manipulation and educational theories in order to offer learners a Negotiated Learner Model, for integration into an Intelligent Tutoring System. The system ...
Clinical practice guidelines: A case study of combining OWL-S, OWL, and SWRL
As the number of available Web services increases there is a growing demand to realise complex business processes by combining and reusing available Web services. In this context, the Ontology Web Language for Services (OWL-S) can be used to specify ...
Intensity-based image registration using multiple distributed agents
Image registration is the process of geometrically aligning images taken from different sensors, viewpoints or instances in time. It plays a key role in the detection of defects or anomalies for automated visual inspection. A multiagent distributed ...
An extended hyperbola model for road tracking for video-based personal navigation
We present a robust road detection and tracking method using multiple vanishing points and the condensation filter. We represent the road using an extended hyperbola model with an added non-linear term to handle transitions between straight and curved ...