EUROSIM

FEDERATION OF EUROPEAN SIMULATION SOCIETIES

CIT - Journal of Computing and Information Technology

The Society does not publish its own journal but cooperates in publishing the CIT - Journal of Computing and Information Technology and it encourages its members to use it as a medium for publishing their papers.

The journal covers the area of computer science and engineering, modelling and simulation and information systems and publishes original scientific and professional papers, short notes, review articles and surveys, as well as book reviews.

All the information concerning Journal of Computing and Information Technologyy is available at cit.srce.hr

In addition, the Society reports appeare regularly in the Simulation News Europe.

ITI - Information Technology Interfaces

The Society co-operates with the University of Zagreb Computing Centre in the organization of the international conference ITI - Information Technology Interfaces that traditionally has a strong section on modelling, simulation and optimization.

The Conference is relatively small, but it has a long tradition (since 1974) of creating an inspiring, productive and pleasurable atmosphere for interdisciplinary communication among researchers, scholars and professionals from various sub-fields of ICT arena.

The Conference takes place in a small, charming town Cavtat near Dubrovnik. Conference venue is luxurious five-star hotel Croatia

 

KOI - International Conference on Operational Research

The Society members regularly take part in an International conference organized annualy by Croatian Operational Research Society (CRORS).

11^th International Conference on Operational Research - KOI 2006 in Hotel Histria in Pula, Croatia on September 27-29, 2006.

 

The Society is organizing simulation seminars and workshops and members are encouraged to present their ongoing work in order to discuss the problems and exchange the experience.

At the 5^th EUROSIM Congress that was held in September 2004 in Paris (Marne la Vallée) there were eight contributions from Croatia authored by authors comming from Zagreb, Split and Osijek.

Seminars held in CROSSIM since 1990

13 April 2000

NEURAL NETWORKS AND A PROBLEM OF REGRESSION IN FITOCENOLOGY

Dr. Oleg Antonic, R. Boskovic Institute, P.O.B. 180, HR-10002 Zagreb, Croatia

Summary A choice of a regression model for explanation of spatial and/or temporal variability of fitoecological parameters (abundance, frequency, biomass growth) as a function of environmental conditions may not be simple. Reasons are: 1) a large number of interacting environmental variables; 2) nonlinearity of interactions; 3) unknown shape of interactions; 4) other factors (genotype variability, intra- and interspecies competition) An additional problem arises when variables are from a nominal scale. Neural networks may offer a solution. The major obstacle is a need for a large sample. A notion of neural network will be explained with an emphasis to multilayer neworks without feedback, which are most often used in regression problems. Standard statistical procedures will be explained in terms of neural networks. A comparison will be made of a predictive model of growth of Quercus robur as a function of environmental variables using classical statistical methods and neural networks. In addition, two examples of using neural networks will be shown: 1) spatio-temporal interpolation of mean monthly temperature in Croatia, and 2) modelling spatial distribution of forrest types in Croatia. In both problems, using neural networks has no alternative.

 

23 March 2000

MODELLING THE DEEP CHLOROPHYLL MAXIMUM

Suncana Gecek, dipl. inz. mat. and Prof. dr. Tarzan Legovic, R. Boskovic Institute, P.O.B. 180, HR-10002 Zagreb, Croatia

Summary In coastal seas and lakes a maximum of chlorophyll is found on the surface or several meters below. This phenomenon is a consequence of rapid division rate of microalgae (phytoplankton).In open seas there is no surface input of nutrients and hence phytoplankton can not divide and grow. Deep below the surface (at 100 m) there is only 1 % of surface light and photosynthesis is impared.Nevertheless, at this depth a maximum of chlorophyll may occur. Reasons for this occurrence are discussed. A mathematical model is constructed and analysed.

 

19 Feb 2000

A LIFE SUPPORT SYSTEM FOR INTERPLANETARY MISSIONS

Tin Klanjscek and Prof. dr. Tarzan Legovic, R. Boskovic Institute, P.O.B. 180, HR-10002 Zagreb, Croatia

Summary A model has been constructed for a life support system during long interplanetary missions. First it is concluded that a continuous reactor is more efficient than a batch reactor. The model consists of reactors connected into a cascade and forming a cycle. Analysed are various cycles including primary producers, secondary producers, tertiary producers, multiple parallel reactors and decomposers.Based on a moderate extrapolation of existing data, the lightest life support system per crew member is 0.2 m^3.This is about 10 000 more efficient than natural ecosystems on Earth. Theoretically the lightest life support system using existing species on Earth would weight about 3 to 5 kg. However, before a working prototype is constructed an array of new experiments are needed.It is also concluded that the astronauts on long time interplanetary missions will be vegetarians.

 

04 Nov 1999

CONSTRUCTION OF DATA BASE FOR SIMULATION OF HUMAN WALK

M.Sc. Vladan Papic, FESB-Split, Sveuciliste u Splitu, R.Boskovica b.b. HR-21000 Split, Croatia

Summary Procedures for statistical analysis of data on kinematics of human walk are described. On the basis of these data a clasification of human walk is proposed. Measurements are performed on 20 subjects. The clasification is obtained using two methods: a) based on normal distribution and Bootsrap.Based on data of each class of walk, an algorithm is demonstrated for animation of an approximatelly normal walk.

 

6. Feb. 1999BIOMECHANICS OF HUMAN WALK, CONTROL AND REHABILITATION

Prof. dr. Vlasta Zanchi, Laboratory for Biomechanics and Automatic Guidance of Systems (LBACS), Fakultet Elektrotehnike Srojarstva i Brodogradnje (FESB), Sveuciliste u Splitu, R. Boskovica b.b. HR-21000 SPLIT, Croatia.

Summary Mathematical modelling and simulation of of human walk. Determination of parameters with a discussion on possibilities of diagnostics and monitoring of therapy. Using Internet as a means to communicate with other World centers of research into human walk and the future of telemedicine.

 

9 Oct 1998

COMPUTER MODELS OF GENERAL EQUILIBRIUM

Prof. dr. Jasminka Sohinger, Ekonomski fakultet, Trg J.F. Kennedyja 6, HR-10000 Zagreb, Croatia

Summary Numerical models of general equilibrium are used in analysis of economic systems for evaluation of measures in political economy. The structure of these models is based on standard microeconomical theory of general equilibrium which describes functioning of sought mechanism.First elements of general economic equilibrium theory are given. Then a structure of computer models is analysed. Finally, a program language GAMS will be illustarted on simple examples.

 

11 May 1998

ECOLOGICAL MODELLING INTERNET RESOURCES

Prof. dr. T. Legovic, R. Boskovic Institute, POB 180, Bijenicka 54, HR-10002 Zagreb, Croatia.

Summary Ten types of information that may be found on the Internet are discussed and links given: 1) registers and sources of ecological models; 2) documents including modelling courses; 3) data needed in modelling; 4) various intitiatives (global change, preservation of diversity, simulation over the internet) 5) ecological modelling societies; 6) journals; 7) FAQ's -frequently asked questions; 8) Extensive lists for ecologists; 9) search engines of WWW pages and discussion articles; 10) discussion groups.All WWW addresses that are discussed may be found on: Ecological Modelling Links or Ecological Modelling Server (point to Modelling and Simulation).

 

5 March 1998

MANAGEMENT OF PRODUCTION USING ARTIFICIAL INTELLIGENCE

Dr. Dalibor Benic, Lab. for Operations Research, Fakultet strojarstva i brodogradnje, Ivana Lucica 1, HR-10000 Zagreb, Croatia

Summary To solve distribution of workload and obtain satisfying, hopefully optimal, solution is it not sufficient to consider only sheduling but to take into account planning of production.Integrated production requires optimization of all production functions taking into account their role and value inside the whole. From this viewpoint management of production is very important. Conteporary production needs fast decision making, in fact in real time, during production. Hence, artificial intelligence methods seem to be superior to classical methods of operations research.Advantages of artificial inteligence methods in solving problems of sheduling and distribution are discussed. Using continuous genetical modification of production process algorithms are presented to solve: a) shedulling jobs, b) distribution of workloads in a workshop in assembly production, c) multiple processes (chain of production with alternative processes.Following articifiacl intelligence methods are used: neuron networks, logic limited reasoning (inductive logic) and genetic mdodifications. Additional elements are used to integrate algorithms into decision making.Discussed are results and limitations of this hybrid technology.

 

5 Feb 1998

A MODEL CARCINOGENESIS

Dr. Jadranka Bozikov, Department for Medical Statistics, Epidemiology and Medical Informatics, Andrija Stampar School of Public Health, Medical School, University of Zagreb, Rockefeller St. 4, HR-10000 Zagreb, Croatia

Summary Multistage theory of carcinogenesis is presented. According to this theory transformation of a cell into a tumorous cell is a result of accumulation of genetic mutations. It is assumed that these mutations are discrete and stochastic. Agregation of cells into compartments allows the model to be formulated as a system of ordinary differential equations. A general solution is found in case of constant coefficients. For cases where parameters are f(t) and f(t-tau) the system of delay-differential equations is analysed numerically. Validation data is used from incidence of colon cancer. Finnally it is shown how the model is used to determine the number of genetic changes required to transform a normal cell into a tumorous one.

 

6 Feb. 1997

SIMULATION MODEL FOR PREDICTING PRODUCTION PROCESS

Prof. Dr. Josip Brumec, Jarnoviceva 54, HR-10000 Zagreb, Croatia

Summary Production firm is a complicated dynamical system efficiency of which can be measured in several ways. During longer time a number of factors that affect its dynamics and it may be difficult to predict their intensity and the form of their influence.It will be shown that it is possible to construct a model which adequately describes internal structure and stochastic influences form the environment. The model will describe production processes mathematically and simulate the dynamics. On the basis of multifactorial experiments on the simulation model, regularities will be investigated.

 

19 Dec 1996

IS THE SEA INDEED TOXIC IN THE VICINITY OF COASTAL TOWNS: SIMULATION OF DISPERSION OF UNKNOWN SUBSTANCES IN THE SEA

Prof. dr. T. Legovic, R. Boskovic Institute, P.O.B. 180, Bijenicka 54, HR-10002 Zagreb, Croatia

Summary Simulation of dispersion of well defined substances in the environment is being done for decades with more or less success. However, on the first sight it is difficult to envision simulation of effect of an unknown number of unknown chemical substances. It is exactly this case that is discussed. With a combination of monitoring and simulation, predictions are not only possible but reliable. At the end an example is discussed and the answer in the title given.Literature: Legovic T., Toxicity may affect predictability of eutrophication models in coastal sea. Ecological Modelling, 99 (1997), 1-6.

 

17 Feb 1994

EPISTEMIOLOGY OF COMPUTER SYSTEMS

Prof. dr. Josip Jovic, Faculty of electrical engineeringJ. J. Stossmayer University, Osijek, Croatia

 

Summary Interaction of form and content in technical informatics. Spaces of events in comuter models. A role of models in acquiring knowledge. Paradox of causality in computer models. Examples of modelling memory.

 

11 Nov 1993

APPLICATION OF EXPERT SYSTEMS IN SPORT

M.Sc. Leo Pavicic, Centar za kineziolosku informatiku, Fakultet fizicke kulture, Horvacanski zavoj 15, HR-10000 Zagreb.

 

8 April 1993

NEURON NETWORKS AND KNOWLEDGE PROCESS

M.Sc. Damir Pavuma, INTEGRA, Zagreb

 

14 Dec. 1992

SIMULATION MODELLING OF THE AUTOMATED SYSTEM FOR ELECTROSTATIC POWER COATING OF METAL COMPONENTS

M.Sc. Vlatka Hlupic, Dept. of Information SystemsLondon School of Economics

 

18 Nov 1992

SIMULATION OF POPULATION DYNAMICS USING DYNAMO

M.Sc. Jadranka Bozikov, Lab. for Statistics, epidemiology and informatics, A. Stampar School of Public Health, Rockefellerova 4HR-10000 Zagreb, Croatia

 

15 Oct. 1992

SIMULATION IN EVALUATING COMPUTER SYSTEMS

M.Sc. Davor Antonic, Lab. for Computer Systems and Processes, Electrical Engineering Faculty, Zagreb, Unska 3, HR-10000 Zagreb, Croatia

 

22 Sept 1992

MULTIVARIATE ESTIMATION IN DISCRETE EVENT SIMULATION

Prof dr. Andrew SeilaUniversity of Georgia, Athens, GA, USA

 

22 Sept. 1992

USING SPREADSHEET MODELS IN SIMULATION

Dr. Peter Long, Sheffield Hallam University, UK

 

28 April 1992

SIMULATION AS A MEANS FOR OPTIMIZING PRODUCTION SYSTEM

Dr. Ivica Veza, Faculty of mechanical engineering and shipbuilding, HR-21000 Split, Croatia

Summary Examples of simulation of production systems: analysis of workload and choice of the number of production centres; dimensioning of storage in the flexible production process c) determining number of inductively guided transport vechicles.

 

27 June 1991

STATISTICAL ANALYSIS OF GUIDED AND NON GUIDES MISSILES USING MONTE CARLO SIMULATION

Mr. Miroslav Slamic, Military school HR-10000 Zagreb, Croatia

 

23 May 1991

MONE CARLO METHOD AND STATISTICS

Dr. Vesna Luzar, University Computing Center (SRCE), J. Marohnica bb, HR-10000 Zagreb, Croatia

Summary Simulation: statistical aspects of simulation and simulation in statistics. Methods for reduction of variability. Examples.

 

18 April 1991

MODELLING AND SIMULATION OF ECOSYSTEMS

Dr. Tarzan Legovic, R. Boskovic Institute, POB 180, HR-10002 Zagreb, Croatia

Summary

Model of a lake: dynamics of nutrients, phytoplankton and zooplankton. Model of a coastal sea: distribution of nutrients, and heavy metals. Identification of sources from measurements of concentrations in the sea ( solution to an inverse modelling problem).

 

21 March 1991

MODELLING DYNAMICS OF POPULATIONS

Prof. dr. Mladen Alic, Department of Mathematics, University of Zagreb, Bijenicka 30, HR-10000 Zagreb, Croatia

Summary Modelling dynamics of isolated populations with differential, differential-difference and difference equations. Examples. Modellling dynamics of two and more populations. Predator-prey system. Trophic chains.Mathematical theory: dynamical systems, phase space, orbits, stability sets, atractors, chaos.Dependence of the system on parameters: structural stability, byfurcations, catastropies.

 

21 Feb 1991

MODELLING AND SIMULATION AT ELECTRICAL ENGINEERING FACULTY IN ZAGREB

Prof. dr. Gabro Smiljanic, Department of Electrical Engineering and Computer Science, University of Zagreb, Unska 3, HR-10 000 Zagreb, Croatia

Summary An overview and an approach to teaching modelling and simulation during the last 18 years is given.

 

10. Jan 1991

NEURAL NETWORKS

Dr. Nikola Masic, R. Boskovic Institute, POB 180, HR-10002 Zagreb, Croatia

Summary Real and artificial neural systems. A simplified sheme of a neuron. Formal definition of neural network. A comparison of human brain and a computer.Elements of neural networks: process elements, tresholds, topological characteristics, memory, calling memory, learning, stability and convergence.Examples of neural networks. Existing paradigms.

 

6 Dec 1990

MODELS AND SIMULATION OF COMBAT

M.Sc. Ante Mandic, B. Busica 34, HR-10000 Zagreb, Croatia

Summary Problems of modelling and simulation of arms combat. Analitical models. Historical models. Description and a models od discrete events. Combat simulators. Problems of model validation.

 

8 Nov 1990

MODEL BUILDING FOR ALL

M.Sc. John Crookes, University of Lancaster, UK

 

4 Oct 1990

SIMULATION STUDY OF WASTE TREATMENT

Vlatka Hlupic, Department of Economics, Trg. J.F. Kennedyja 6, HR-10000 Zagreb, Croatia

Summary Description of waste treatment system. Iterative development of the conceptual model by diagraming cycles of activitry. Development of a computer model using simulation package VS6. Design of graphic design of entities and scenes for animation. Evaluation and verification of simulation model. Analysis of factors that affect system operation. Design of experiments. Choice of system configuration. Statistical analysis of results of simulation experiments.

 

7 June 1990

SIMULATION RESEARCH IS ALWAYS INCOMPLETE

Dr. Ray Paul, senior lecturer, London School of Economics, London, U.K.

Summary Description of current research at the London School of Economics, by the research group on Computer Aided Simulation Modelling (CASM). Following topics are covered: The CASM research group; Specification methods for simulation modelling; Graphics driven environments; Application of artificial intellingence to simulation research; Simulation and application software; Applications; Methodology and the future.

 

10 May 1990

SIMULATION MODELS OF POPULATION DYNAMICS: METHODS AND APPLICATIONS

M.Sc. Jadranka Bozikov, Lab. for Statistics, epidemiology and informatics, A. Stampar School of Public Health, Rockefellerova 4,HR-100000 Zagreb, Croatia

Summary Types of models. Continuous time and state models and their simulation. Simulation packages. Multiple compartment models of epidemies. The concept of contact infection. Application in epidemy control. Sensitivity analysis of stationary state: sensitivity function and elasticity. Examples.

 

5 April 1990

SIMULATION OF ECONOMIC ASPECTS OF COMPLEX SYSTEMS

Dr. Mladen Mauher, Zagrebacka Banka, Zagreb, Croatia

Summary Modelling economic systems. Models of traditional economic theory. Models of operational theory. Simulation models. Characteristics of discrete simulation modelling. Classification of simulation models. Economic aspects of discrete simulation modelling. Economic description of parameter models. Application areas in business systems. Economic evaluation of experiments.

 

8 March 1990

CONCEPTUAL MODELLING IN SIMULATION OF DISCRETE PROCESSES

Prof. dr. Vlatko Ceric, Ekonomski fakultet, Trg. J.F. Kennedyja 6,HR-10000 Zagreb, Croatia