Lecturers & Sessions*
Pre-Conference Event on September 5, 2012 at 15:00. FSTUB – 108, Rakovski Str., Floor 2, Hall 3. (How to reach from the conference venue: the map[to appear soon]).
- September 5, 2012 at 15:00, FSTUB: Arthur Kordon, Ph.D. (USA)
Curriculum Vitae. Pre-Conference Event: ‘How Advanced Analytics can help resolving business problems?’
- September 6, 9:30-10:10, Hall A: Prof. Ronald R. Yager (USA)
Curriculum Vitae, PLENARY LECTURE: ‘Prioritized Aggregation Operators and their Application’
- September 6, 10:20-11:00, Hall A: Arthur Kordon, Ph.D. (USA)
Curriculum Vitae. PLENARY LECTURE: ‘Applying Intelligent Systems in Industry: A Realistic Overview’
- September 7, 9:00-9:40, Hall A: Prof. Janusz Kacprzyk DSc (Poland)
Curriculum Vitae. PLENARY LECTURE: ‘Bipolarity in preferences and intentions for more human consistent decision analysis and database querying’
- September 7, 9:50-10:30, Hall A: Prof. Nikola Kasabov (NZ)
Curriculum Vitae. PLENARY LECTURE: ‘Spiking Neuro-Genetic Networks for Spatio- and Spectro-Temporal Data Modelling and Pattern Recognition’
- September 7, 10:50-11:30, Hall A: Alexander Gegov (UK)
Curriculum Vitae. PLENARY LECTURE: ‘Advances in Fuzzy Systems and Networks’
- September 8, 9:00-9:40, Hall A: Prof. Marco Dorigo (BE)
Curriculum Vitae. PLENARY LECTURE: ‘Swarm Intelligence’
- September 6, 14:00-14:40, Hall B: Michael Flynn – Stanford University http://arith.stanford.edu/~flynn/.
‘Intelligent Computing: A Basis for Intelligent Systems’
- September 6 at 14:50-16:20, Hall B (Tutorial 1)
‘Space Elevator Challenges: DataMining and SuperComputing’
by: Hiro Fujii, Tokyo, Japan,
Oskar Mencer, London, UK,
Dragan Bojic and Veljko Milutinovic, Belgrade, Serbia,
Goran Rakocevic, Belgrade, Serbia,
Miroslav Bojovic, Zabljak, Montenegro
Sasa Stojanovic, Foca, Bosnia
First, this tutorial presents the state of the art in the Space Elevator technology, with special emphasis on the efforts taken by the Fujii Labs of Tokyo, Japan. Second, the supercomputing problems of interest for space research are presented and it is shown how they can be treated with dataflow supercomputers, of which the Maxeler of London, UK, demonstrates the best speed/watt (its architecture and programming challenges are presented). Third, a case study related to datamining of space information on a Maxeler machine is presented. Forth, examples are given that show how young researchers from three different Balkan countries have mastered the art of programming of a modern dataflow supercomputer.
- September 6 at 16:35-18:05, Hall B (Tutorial 2)
‘Datamining in Wireless Sensor Networks’
by: Zoran Babovic,
Stasa Vujicic Stankovic,
Ivan Vukasinovic, Serbia
First, an introduction to datamining is given, with special emphasis on algorithms of interest for WSNs (wireless sensor networks). Second, a classification of existing research to DM-WSN (datamining in WSNs) is presented. Third, each example is described with an algorithm and the infrastructure needed to run the algorithm. Third, pros and cons of the presented approaches are discussed and novel ideas for future R+D are presented. Fourth, basics of the agent technology in WSNs are prsented. Fifth, it is explained how the agent technology can help improve the efficiency and effectiveness of DM-WSN. Sixth, examples are presented and a conclusion is generated.
* the conference scheeme, agenda and program can be downloaded from page Conference Programme.