WEGEMT School
on
Expert Systems for Marine Applications
Hamburg, 9-13 March 1998

line

Come and introduce yourself to a technology that can assist you capture vital organizational expertise in decision-support tools.

The steering Committee:

Dr. V. Bertram University Hamburg (Germany)
Dr. Y. Reich Tel Aviv University (Israel)
Dr. R. Jefferys CONOCO (UK)
Dr. H. J. GaetjensHDW shipyard (Germany)
Mr. D. Melissinos Hellenic Register of Shipping (Greece)

Content:

  1. What is a WEGEMT school?
  2. Purpose:
  3. Who should attend:
  4. Important dates:
  5. Venue:
  6. Participation fee:
  7. Tentative schedule:
  8. About the organizers:
  9. Sponsors:
  10. Preliminary notes (available only to registered participants)
  11. Interesting Internet links on KBS and marine applications:
  12. Additional reference material on AI:

What is a WEGEMT school?

WEGEMT is an association of 37 universities in 17 European countries. It was formed in 1978 with the aim of increasing the knowledge base, updating and extending the skills and competence of engineers, researchers and postgraduate students working in marine technology and related sciences.

WEGEMT operates as a network of universities, promoting collaborative research, education and training activities at an advanced level. It has a strong background in the development of transnational initiatives, particularly in the field of education and training, where it has developed a well respected programme of training events called schools.

In addition, WEGEMT, or its associates, has participated in various European Programmes of research and training including COMETT, IMPACT and BRITE and was involved in the DGVII Concerted Action on Short Sea Shipping. It is currently participating in the TMR programme.

Secretary of the WEGEMT foundation:
Mr. Jim A.T. Grant
c/o CMPT MTD
19 Buckingham Street
LONDON WC2N6EF UK
Tel. +44 171 321 0674
Fax. +44 171 930 4323
E-Mail: jimgrant@dial.pipex.com

Purpose:

Knowledge-Based Systems (KBS) are computer programs whose technology was developed Artificial Intelligence. This technology ease the process of building applications that codify human expertise as well as other knowledge sources compared to the development of applications with traditional software tools. KBS have been used in many domains to solve many problems. Even in marine engineering, KBS have been used quite extensively, For example, in the following applications:
-- forecasting of shipping economics
-- ship conceptual design
-- design of offshore units
-- propeller design
-- structural design
-- manufactoring and shipyard planning
-- collision avoidance
-- fault diagnosis for ship machinery
-- predictive maintenance
-- combat tactics
-- emergency response (damage control)
-- cargo handling and keeping
-- container stacking in port and ships
-- ballast control
-- re-sale prices of used ships

Given the strength of KBS technology to facilitate building applications, it becomes important for engineering and information technology (IT) staff to acquire knowledge about it. Those attending the workshop will

-- learn the basics of knowledge-based systems (KBS)
-- understand the foundations of Artificial Intelligence (AI) related to KBS
-- acquire basic skills for developing KBS
-- understand the advantages and limitations of the technology

Who should attend:

Engineering and Information Technology (IT) staff involved in
-- shipping
-- operation of offshore facilities
-- offshore and shipbuilding design and manufacture
-- supply industries
-- statutory agencies
-- research facilities
-- generally people interested in KBS technology for maritime applications

Important dates:

Final announcement October 97
Registration Preferably, until 31 January 98
School 9-13 March 98

Venue:

The school will be held in

Haus Rissen
Rissener Landstr 193
22559 Hamburg
Fax +49 40 8190759

Haus Rissen is located in one of Hamburg's nicests areas near the Elbe river. Haus Rissen is a villa surrounded by a forest and a golf course. It caters exclusively to conferences and workshops. All lecturers and participants of the School will stay in Haus Rissen, sharing all meals together. This will ensure maximum contact with lecturers and other participants, but the single accomodation and various small study rooms ensure that privacy can be found when needed.

From main station or Altona station
,
take the underground (Green sign S1/S11). direction Wedel or Blankense. Exit in Blankenese, turn right towards the last bus stop. Take bus 189. The 4th stop is 'Haus Rissen', exit and follow the signs. One ticket (push button 3 on the orange vending machines) will be valid for the whole ride incl. bus).
From airport
take airport express 110 (left as you exit terminal) to Ohlsdorf (final destination). Enter Ohlsdorf station, take second stairs on right-hand side. Take train on right-hand side of platform. This will be automatically a S1/S11 underground train (though starting above ground). The train ride is about 40 minutes. In the train, there are maps of Hamburg subway system. After 8 stops, you are at main station. Remain in train and continue as described above.
For participants needing accomodation before or after the school, we recommend (please make your own arrangements):

Hotel Metro Merkur
Bremer Reihe 12-14
Tel. +49 40 247266
Fax. +49 40 240284

A limited number of rooms are available for participants at a special rate of 105 DM incl. breakfast. Hotel Metro Merkur is opposite the main station (Hauptbahnhof). There are direct buses from the airport (Airport City Express). At the bus stop, turn left into Bremer Reihe (next to Hotel F"urst Bismarck). >From Hotel Metro Merkur to Haus Rissen: Walk towards main station, turn left into the underground before entering the main building. (Green sign S1/S11). Take underground with green sign S1/S11 direction Wedel or Blankense.

Participation fee:

Course fee: 1500 DM

Course fee includes single accomodation (4 nights), all meals, one set of lecture notes, and sample CLIPS programs. The course fee is due cash on arrival.
Participants will also get a copy of the expert system shell CLIPS (MS-DOS version, other versions, e.g., for various unix platforms might also be available).

Tentative schedule:

Monday, 9.3.98
13.00 - 13.45registration and check-in
14.00 - 14.30kick-off (Bertram)
14.30 - 15.30Introduction to KBS I (Bertram/Reich)AbstractNotes
16.00 - 17.00Introduction to KBS II (Bertram/Reich)AbstractNotes
17.00 - 17.30QUAESTOR: A design knowledge-based system (Hees)AbstractNotes
Tuesday, 10.3.98
9.30 - 11.15 KBS for maritime applications I (operation) (Bertram) AbstractNotes
11.30 - 12.15EMMA: An onboard emergency management system for ships (Lunau)AbstractNotes
12.30 - 13.30Lunch
14.00 - 15.20Programming CLIPS I (basic elements, begin case study) (Reich)AbstractNotes
15.40 - 17.30Programming CLIPS II (basic elements, begin case study) (Reich)AbstractNotes
Wednesday, 11.3.98
9.30 - 11.00Programming CLIPS III (extend case study) (Reich)AbstractNotes
11.15 - 12.45Programming CLIPS IV (extend case study) (Reich)AbstractNotes
13.00 - 14.00Lunch
14.00 - 15.30Interfacing shells (Reich)AbstractNotes
16.00 - 16.45Videos: Applications to maritime operations (Bertram)AbstractNotes
Thursday, 12.3.98
9.30 - 11.00Programming CLIPS V (modify case study) (Reich)AbstractNotes
11.15 - 12.45Programming CLIPS VI (modify case study) (Reich)AbstractNotes
13.00 - 14.00Lunch
14.00 - 15.00KBS for maritime applications II (Bertram)AbstractNotes
15.30 - 17.00Forum for participants' problems (Bertram, Reich)
Friday, 13.3.98
9.30 - 11.00 KBS project management (Reich)AbstractNotes

About the organizers:

Sponsors:

The European Commission supports the event by granting TMR support for needy participants from European Commission countries or associated states. Prospective partcipants under the age of 35 should contact Dr Bertram, stating the prospective travel costs and their desired support. It is expected that prospective participants pay an appropriate share of their costs.

Preliminary notes:

Interesting Internet links on KBS and marine applications:

Page of remaining stuff from the course

Additional reference material on AI:


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