CamVac - Campylobacter vaccination of Poultry

Improved bio-traceability of unintended micro-organisms and their substances in food and feed chains

FP6-2006-FOOD-036272 project, Sixth framework programme

BIOTRACE IP is an Integrated Project within the European Union 6th Framework Programme under the European Research area of Food Quality and Safety. BIOTRACER has 46 project partners from 24 countries (including four INCO countries). The project started 1 January 2007, and will close 31 December 2010. The project is supported with €11 million from the European Commission, but has a total budget of €15 million.

Highway to Security: Interoperability for Situation Awareness and Crisis Management

Prepatory action 113700 on 'Enhancement of the European industrial potential in the field of Security Research 2004-2006' (PARS)

The vision of the proposed project HiTS/ISAC is a more secure Europe through prevention of terrorism and organized crime. It addresses the interoperability of intelligence services to exchange information on suspicious activities in order to enable information analysis and fusion from different sources.

ADVOCATE II - Jump into Intelligent Robotics

IST-2001-34508 project, fifth framework

As Autonomous Vehicles are currently undergoing a transition from a research tool to real application, they are expected to work more reliably and safely. There are additional requirements for the design and operation of such vehicles in terms of fault-detection and -recovery and real autonomy (adaptability to unforeseen situations).

ADVOCATE - How to Increase Reliability of Unmanned Underwater Vehicles

ESPRIT 4 Project 28584 ADVanced On-board diagnosis and Control of semi-Autonomous mobile sysTEms (ADVOCATE)

Unmanned Underwater Vehicles (UUVs) need to become more and more intelligent to avoid inopportune mission abortion and to perform more complex operations. ADVOCATE introduces artificial intelligence for diagnosis, recovery and re-planning, by merging different techniques into UUVs. To avoid too specific non-reusable developments, ADVICATE is based on a distributed architecture (CORBA norm), and a generic communication protocol between the different modules.

Bayesian knowledge extractor

ESPRIT 4 project 29105, Fourth Framework Programme

The aim of this project is to develop an environment able to extract Bayesian Belief Networks (BBNs) from databases. BBNs are one of the most successful formalism for knowledge representation and reasoning and they have been applied to a variety of problems and domains. A BBN provides a graphical representation of decision problems, grounded in probability theory, and they are able to perform prediction, explanation, classification, and decision making. The statistical roots of BBNs give the project an easy access to sound statistical methods for learning. In this way, the methodology underlying the project will blend together well-established statistical theories with the most advanced techniques for machine learning and automated reasoning under uncertainty.

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Data Mining - The PRONEL Method

ESPRIT 4 Project 28932, Fourth Framework Programme

The aim of the PRONEL project was to develop a prototype of a data mining tool that were able to extracting Bayesian network models from data in "collaboration" with an domain expert. This was achieved and a software prototype was developed. This prototype is available for download.

Safety and Risk Evaluation - The SERENE Method

ESPRIT 4 Project 22187, Fourth Framework Programme

The SERENE (SafEty and Risk Evaluation using bayesian NEts) method is concerned with the functional safety of complex systems, particularly programmable electronic systems which fall within the scope of draft IEC 61508 and similar standards. Functional safety concerns the ability of a system to carry out the actions necessary to achieve or maintain a safe state (IEC 1995, adapted). In a complex system the demonstration of functional safety must take account of both random and systematic failures. Systematic failures include those that result from design errors. All complex systems are potentially subject to systematic failures, but this difficulty applies most of all to software, for which systematic failures are the only form of failure.

EMG - Knowledge-Based Assistant for Electromyography

ESPRIT I, Project 599, First Framework Programme

The aim of the EMG project was to develop a knowledge-based assistant to support physicians in all stages of an electromyographical (EMG) examination of patients with neurological diseases. The objective was to produce a system sufficiently robust to withstand clinical trials in a neurophysiological laboratory. Particular attention was given to involving users in the definition of requirements and in system acceptance testing, and to bringing medical knowledge-based systems to a fully functional state.

HUGIN EXPERT A/S is a spin-off from this project.