|
|
Invited Paper
|
H. Burkhard (Humboldt University Berlin, Berlin, Germany)
Let the Machines Do. How Intelligent is Artificial Intelligence? 
“Intelligent” systems are present around us. Such machines are not only tools in our hands, they are able to make decisions and perform actions directly in the real world or in the artificial worlds of the internet. But even in the latter case, their decisions have consequences to our life. Many of them still act as “assistance systems”, leaving the final decision to the human user. The trend goes to more autonomy of the machines, even in critical situations when humans become overloaded by complexity. Additionally, humans are more and more willing to accept the proposals of the machines. But is this technique mature enough to guide or even to replace human decision-making? Especially, perception appears to be a hard problem for technical equipment. How accurate, how safe can decisions be in the case of incomplete and unreliable data? The paper gives some overview about recent developments in Artificial Intelligence and Robotics, their capabilities and serious problems from a general point of view.
|
| Papers |
M. Migliardi (Universita' di Padova, Padova, Italy), E. Riccomagno (DIMA, University of Genoa, Genoa, Italy)
Some Security Considerations on Crowd-Sourcing an Ontology
The 4w project has demonstrated the feasibility of a prospectic memory support systems based on a mobile client and an ontology based server side reasoning engine. However, the experiments also showed that the level of efficiency of the system was largely dependent on the precision and richness of the ontology used to autonomously identify the places where users may efficiently perform their tasks. Thus, in past works we have proposed a social, crowdsourcing approach to the task of enriching the ontology. In this paper we analyze the security aspects of the crowdsourcing approach, we investigate some possible attacks to a crowdsourced ontology and we devise some measures to protect the system from this kind of attacks. Finally, by means of simulation of a large network of users, we evaluate the efficacy of the devised measures.
|
M. Simjanoska, A. Madevska Bogdanova, Z. Popeska (Ss. Cyril and Methodius University, Faculty of Information Sciences and Computer Engineering, Skopje, Macedonia)
Bayesian Posterior Probability Classification of Colorectal Cancer Probed with Affymetrix Microarray Technology
Colorectal cancer is one of the most common types of cancer worldwide. Assuming increased or decreased gene expression is the reason for abnormal cells work and processes interference in the colorectal region, in our previous work we used data from Illumina microarray technology to analyze gene expression values. Once we have unveiled biomarker genes and developed methodology for Bayesian posterior probability classification, we proceeded with implementing the same methodology on data obtained from Affymetrix microarray technology. However, our survey results showed that different microarray technologies require different statistical approach for classification analyses. In this paper we use colorectal data probed with Affymetrix microarray technology, and propose new methodology which intends to eliminate the noise and produce more robust data appropriate for prior distribution modeling and therefore, applicable for Bayesian a posteriori classification. In order to test the procedure reliability we used set of patients into different cancer stages as well as healthy patients.
|
A. Jović, L. Suć, N. Bogunović (Fakultet elektrotehnike i računarstva, Sveučilište u Zagrebu, Zagreb, Croatia)
Feature Extraction From Electroencephalographic Records Using EEGFrame Framework
Analysis of electroencephalographic (EEG) signals usually includes visual inspection, feature extraction, and feature visualization. Computer-aided nonlinear feature extraction from EEG in particular has already lead to improved descriptive and prognostic models of brain states and disorders. However, in this field, there is a lack of freely available powerful tools for scientific exploration of EEG that would help researchers to compare the results of their work with others. Especially, because of great diversity of the proposed methods for EEG analysis, there exists a need for a joint framework for inspection, extraction and visualization performed on the EEG records. The aim of this paper is to introduce such a framework, called EEGFrame, with its implementation in Java. The framework currently supports the analysis of standard .EDF records, feature extraction, visualization, and feature vectors storage in .arff format for data mining. EEGFrame is the result of refactoring and extension of the HRVFrame framework for heart rate variability analysis, with added methods for EEG analysis. This paper describes the properties and capabilities of the framework and discusses its relevance with respect to similar work. The main advantage of EEGFrame is its support for numerous linear and nonlinear methods described in literature.
|
N. Nikolaev, Y. Rangelov, V. Valchev, A. Marinov (Technial University of Varna, Varna, Bulgaria)
Technique for Indirect Analysis of Domestic Power Consumers Based on Power Pattern Recognition for Smart Energy Metering
The current paper presents an approach for measuring energy behaviour of domestic power consumers based on power pattern recognition. This approach can be implemented into a central smart energy meter that will be able to identify the energy consumed by each particular power appliance. The suggested approach is based on recognizing the transient power change that occurs during the turning ‘on’ and ‘off’ electric devices. This transient power change is then compared against pre-set patterns, where the different devices are recognized using fuzzy logic. The approach is tested in simulation and by practical experiments and proves functional for most electric appliances. Implementing it together with a smart energy meter forms an intelligent system that allows users and operators to estimate the contribution of each electric device to the total energy consumption. The advantage of the so formed system is that only a single central measuring is required, omitting the necessity of installing a meter to each device.
|
T. Rolich, D. Domović, D. Grundler (University of Zagreb, Faculty of Textile Technology, Zagreb, Croatia)
Testing of Several Overlapping Optimization Methods for Bin-Packing Problem
In this paper several optimization methods for NP-hard bin-packing optimization problem are considered. Bin-packing problem consists of a number of items that need to be packed into a limited number of containers while satisfying the following constraints: items need to lie entirely within a container without overlapping. Bin-packing methods are also used in textile industry to optimize the material usage while cutting regular/irregular items from a fixed-width material strip.
Giving a brief overview of the problem, several computational methods are described in this paper such as items and container data representation, overlapping detection and avoidance methods (constraints graphs, no-fit polygons) and optimization methods: direct search, genetic algorithm and nonlinear programming.
Experiments with various numbers of rectangles, circles, triangles, ellipses and hexagons were performed using three methods - direct search, genetic algorithm and nonlinear programming to compare the overlapping area, total cover area and total overlapping area with nonlinear programming giving the best results.
|
D. Komlen (AVL AST d.o.o., Zagreb, Croatia), D. Jakobović (Fakultet elektrotehnike i računarstva, Zagreb, Croatia)
Investigation of Coevolutionary Approach in Gene Regulatory Network Inference
Inference of gene regulatory networks is currently an active field of research in system biology. Evolutionary computation algorithms are lately applied for finding the optimal parameters of models. This paper presents a comparison of four evolutionary algorithms (DE, GA, PSO and the hybrid Hooke-Jeeves GA) used with a linear time-variant gene network model. The paper also investigates the efficiency of cooperative coevolution approach to cope with the increased complexity of networks with large number of genes. Experiments were performed on two artificially generated and one real microarray data set. The results are twofold: the efficiency comparison may serve as a guideline for future research, and the application of coevolution proved to be successful for most algorithms.
|
M. Gulić ( , Zagreb, Croatia), D. Jakobović (Fakultet elektrotehnike i računarstva, Zagreb, Croatia)
Evolution of Vehicle Routing Problem Heuristics with Genetic Programming
With significant advances in computing power during recent years, increasingly complex variants of the vehicle routing problem (VRP) with added constraints are coming into focus. VRP is a combination of the classical traveling salesman and bin packing problems, with many real world applications in various fields – from physical resource manipulation planning to virtual resource management in the ever more popular cloud computing domain. The basis for many VRP approaches is a heuristic which builds a candidate solution that is subsequently improved by a search or optimization procedure. The choice of the appropriate heurstic may have a great impact on the resulting quality of the obtained schedules. In this paper we use genetic programming to evolve a suitable heuristic to build initial solutions for different objectives and classes of VRP instances. The results show great potential, since this method is applicable to different problem classes and user-defined performance objectives.
|
M. Horvat, S. Popović, K. Ćosić (Faculty of Electrical Engineering and Computing, Zagreb, Croatia)
Multimedia Stimuli Databases Usage Patterns: A Survey Report
Multimedia documents such as images, sounds or videos can be used to elicit emotional responses in exposed human subjects. These stimuli are stored in affective multimedia databases and successfully used for a wide variety of research in affective computing, human-computer interaction and cognitive sciences. Affective multimedia databases are simple repositories of multimedia documents with annotated high-level semantics and affective content. Although important all affective multimedia databases have numerous deficiencies which impair their applicability. To establish a better understanding of how experts use affective multimedia databases an online survey was conducted into the subject. The survey results are statistically significant and indicate that contemporary databases lack stimuli with rich semantic and emotional content. 73.33% of survey participants find the databases lacking at least some important semantic or emotion content. Most of the participants consider stimuli descriptions to be inadequate. Overall, 1-2h or more than 24h are generally needed to construct a single stimulation sequence. Almost 84% of the survey participants would like to use real-life videos in their research. Experts unequivocally recognize the need for an intelligent stimuli retrieval application that would assist them in experimentation. Almost all experts agree such applications could be useful in their work.
|
D. Helić, M. Strohmaier, W. Wójcik (Institute for Knowledge Management, Graz, Austria)
Navigational Evaluation of Breadth First Search Spanning Trees
Decentralized navigation is one of the most important functions of complex networks.
A wide variety of different networks such as communication, social, or information networks possesses certain structural
clues which allow navigational agents to efficiently navigate those networks even with the local knowledge of the network only.
Such structural clues include node degrees and their centralities, similarities
between nodes, or node clustering coefficients. In practice, those properties may be combined and abstracted in the form of a distance metric on the network node set --
a typical representation of such a distance metric is a hierarchy of network nodes where the most central nodes are situated in the upper levels
of the hierarchy and the hierarchy links capture the node similarities or their clustering.
Recently, a number of algorithms for extracting such hierarchies have been introduced. The majority of those algorithms
is based on complex and computationally intensive methods such as hierarchical clustering. In this paper we analyze several simple spanning tree algorithms
and their ability to extract sound hierarchies for network navigation. In particular, we are interesting in correlation of nodes structural properties and
the navigational quality of spanning trees rooted at those nodes. Our work sheds light on the possibilities of spanning trees to serve as a distance
metric for networks navigation guidance. Our results are relevant for scientists interested in the navigability of complex networks and for engineers
who are interested in fast and simple extraction of hierarchies for supporting navigation in networks.
|
A. Jakupović (Polytechnic of Rijeka, Business Department, Rijeka, Croatia), M. Pavlić, A. Meštrović (University of Rijeka, Department of Informatics, Rijeka, Croatia), V. Jovanović (Georgia Southern University, School of Information Technology, Statesboro GA, United States)
Comparison of the Nodes of Knowledge Method with Other Graphical Methods for Knowledge Representation
One of the research paths in the field of artificial intelligence is knowledge representation. There are different approaches, formalisms, methods and languages. They vary from simple to complex and from less semantically rich to very expressive. In their previous papers, the authors introduced a new method for knowledge representation named Nodes of Knowledge (NOK), bearing the idea that it should be simple but semantically rich. This article presents a brief example of the basic concepts in the NOK method and its comparison with the following methods: Basic Conceptual Graphs, Multi-layered extended semantic networks, Hierarchical Semantic Form and Resource Description Framework. All these methods belong to the same class as the NOK method - graphical methods for knowledge representation.
|
D. Brodić, D. Milivojević, V. Tasić (Mining and Metallurgy Institute, Bor, Serbia, Bor, Serbia), Z. Milivojević (Technical College Niš, Niš, Serbia)
Identification of the Global Text Skew Based on the Convex Hulls
Old printed documents represent the important part of our heritage. For theirs preservation, the digitalization is indispensable. The paper proposes the algorithm for the identification of the global text skew. It is based on the connected components made by the filled convex hulls around each text element. Furthermore, connected components are enlarged by morphological dilatation. Currently, the biggest connected component is extracted. The global orientation of the document is identified by its orientation. Efficiency and correctness of the algorithm is examined by testing on datasets. Obtained results proved the algorithms correctness.
|
| Papers |
A. Larionov, I. Terekhin (Irkutsk State University, Irkutsk, Russian Federation)
Indexing Positively Constructed Formulas
The calculus of positively constructed formulas (PCF) is a first-order formalism that has many features useful for solving problems of dynamic systems control.
For investigation of this formalism, analysis of logical inference of formulas is used. The logical inference consist of many PCF. The analysis of big amount of formulas require special operations: search of formulas, search by template, unification search and etc. Usually for solving this problems the indexing methods are used.
For indexing terms as a tree-like structures the methods of indexing such as path indexing, substitution tree indexing, discrimination tree indexing and etc., are used. This methods well used in many logical systems.
Since PCF, like a term, have a tree-like structure, the generalization of indexing methods to the PCF indexing is possible. In this paper we consider this problem. The modification of indexing methods and experiments concerning the analysis of logical inferences (big sets of PCF) are presented.
|
I. Terekhin, A. Larionov (Irkutsk State University, Irkutsk, Russian Federation)
On a Method of Solution the Equality Problem for Positively Constructed Formulas
The calculus of positively constructed formulas (PCF) is a first-order formalism that has many features useful for solving problems of dynamic systems control.
This formalism is used as a basis for automatic theorem proving (ATP) systems. Many problems in the field of ATP can be formalized only with the use of equality predicate. Using this predicate will require adding extra axioms into the problem. This is not efficient for ATP systems, so the problem of equality must be solved without that axioms.
In this paper we introduce the solution of equality problem for PCF formalism. The results are integrated into the developed ATP system. Results of testing the system are presented.
|
A. Larionov (Irkutsk State University, Irkutsk, Russian Federation), A. Davydov, E. Cherkashin (Institute for System Dynamics and Control Theory SB RAS, Irkutsk, Russian Federation)
The Calculus of Positively Constructed Formulas, its Features, Strategies and Implementation
In this paper an information about calculus of positively constructed formulae (PCF), its features, proof strategies and some prover implementation aspects are presented. The PCF calculus was developed by russian scientist Stanislav Vasilyev, by evolutionary way, during the solving of control theory (CT) problems. This calculus has features that are important for CT problems (not only): PCF preserves the original structure of the knowledge (due to using of typical quantifiers; lack of skolemization procedure; the tree-like structure of formulae, etc. );the PCF calculus has a strong modifiability of semantics (constructive, non-monotonic, etc.). Also these features allows to combine the proof-
procedure and a problem heuristics. We give a description of proof strategies: as existed like parallelisation or data sharing, as some special PCF-strategies, for more efficient proof. Prover implementation considered primarily in terms of the features. Couple of simple examples are presented. In addition we give a critical point of view at the PCF calculus, that was deduced during our investigation.
|
A. Sokolov (Institute of System Dynamics and Control Theory SB RAS, Irkutsk, Russian Federation), I. Terekhin (Irkutsk State University, Irkutsk, Russian Federation), E. Cherkashin (Institute of System Dynamics and Control Theory SB RAS, Irkutsk, Russian Federation), S. Butakov, A. Larionov (Institute of Mathematics, Economics and Informatics of Irkutsk State University, Irkutsk, Russian Federation)
Logical Programming and Data Mining as Engine for MDA Model Transformation Implementation
MDA is well-known methodology for the developing the information systems. It deals with the automatic generation of information system. MDA consists of several models. One of the models is the Platform Independent Model (PIM), which is the model describing the software product after processing the requirements. This model are base model for the further transformation (into new model, called Platform Specific Model (PSM) with platform dependencies). All models are then used in the process of code generation.
In this paper we present the description of our extension to the MDA methodology using the logical programming paradigm and also a practical example of application of our extension to the development process. Then we consider the creation of ontology from the control version system. This ontology can be used in the development process as a platform independent model for further model transformations.
|
D. Radošević, I. Magdalenić, T. Orehovački (Faculty of Organizationa and Informatics, Varaždin, Croatia)
Building Process of SCT Generators
This paper presents the building process of generators based on the SCT dynamic frames model. The SCT generator is defined by its Specification (S), Configuration (C) and Templates (T). These elements are represented graphically by Specification diagram and Configuration diagram. The building process starts by initial steps and continues by a spiral application development, based on Boehm's spiral model of software development. To evaluate the proposed building steps, an example of building SCT generator was given. The example uses the software tool developed with a purpose to implement the building steps of SCT based generators.
|
N. Nagul (Institute for System Dynamics and Control Theory, Irkutsk, Russian Federation)
A Proportional Distribution of AUVs under Decentralized Control
The discrete-event model of an autonomous underwater vehicles (AUVs) group, operating under control of distributed supervisor (coordinators) in some large water area, is considered. The Lyapunov functions technique, developed for discrete-event systems, is exploited to establish the accessibility of the set describing a proportional distribution of the AUVs. Such distribution takes into consideration priorities of the areas on which the surveyed water area is divided. The ring topology with shortcuts of the placement of coordinators in the areas is considered.
|
F. Melinščak (Sveučilište u Zagrebu, Fakultet elektrotehnike i računarstva, Zagreb, Croatia), A. Jerbić (Sveučilište u Zagrebu, Zagreb, Croatia), M. Cifrek (Sveučilište u Zagrebu, Fakultet elektrotehnike i računarstva, Zagreb, Croatia)
A P300-Based Brain-Computer Interface: Towards a Simpler Approach
Brain-computer interfaces (BCIs) allow new ways of communication with computers, independent of the normal neuromuscular pathways. One of the neural mechanisms which can be used in a BCI is the P300 wave. In this paper we focused on the realization of an EEG-based P300 speller application. We used the data set IIb from the BCI Competition 2003. The results achieved with simple methods - using only six electrodes and linear classification - surpass those achieved in the competition. The system achieves full accuracy with four repetitions of the stimuli sequence, and 8.4 seconds are needed to select a symbol.
|
M. Somek (Zdravstveno veleučilište, Zagreb, Croatia)
Utjecaj nedostajućih vrijednosti na rezultate dubinske analize podataka
Repozitoriji baza podataka sadrže velike količine informacija potencijalno korisnih za generiranje novih znanja. Primjena odgovarajuće informacijske tehnologije u području dubinske analize podataka omogućuje utvrđivanje ovisnosti između informacija što pridonosi stvaranju prediktivnih modela korisnih za potrebe poslovnih procesa. Preduvjet za kvalitetnu provedbu analize odgovarajuća je priprema podataka koja podrazumijeva razmatranje nedostajućih vrijednosti u promatranom skupu podataka te njihov utjecaj na kvalitetu analize.
U radu će se na hipotetskim primjerima ispitati utjecaj nedostajućih vrijednosti na kvalitetu rezultata provedene dubinske analize primjenom odgovarajuće programske podrške. Opisat će se odabrani model analize, polazni skupovi podataka, korištena programska podrška, tijek analize, prikazati dobiveni rezultati te izvesti zaključak.
|
S. Seljan (Faculty of Humanities and Social Sciences, Department of Information and Communication, Zagreb, Croatia), I. Dunđer (Faculty of Humanities and Social Sciences Department of Information and Communication, Zagreb, Croatia), A. Gašpar (in process, Split, Croatia)
From Digitisation Process to Terminological Digital Resources
Monolingual and multilingual terminology and collocation bases represent valuable additional electronic resources, which can be used in further research, in written communication and in everyday communication. Building of such resources can be supported by terminology extraction tools relying on statistical or language approaches, or on hybrid model, but require considerable human expertise in evaluation and final compilation. The paper describes the whole process: from digitisation of printed material, OCR techniques, sentence alignment and creation of translation memories, up to terminology extraction and evaluation. The performance of tools and applied methodology is assessed through standard statistical measures of precision, recall and F-measure. Experimental results are produced, deficiencies of semi-automatic statistical and linguistic system highlighted and recommendations for further research suggested.
|
V. Ljubović, H. Šupić (University of Sarajevo, Faculty of Electrical Engineering, Sarajevo, Bosnia and Herzegovina)
Comparative Study of Color Histograms as Global Feature for Image Retrieval
Colour histograms are one of the earliest and best known image features used in Content-Based Image Retrieval (CBIR). There is a wealth of scientific work on this topic. However, different papers vary in the specific ways of determining histograms and distance between them. In this paper authors attempt to classify various types of histograms used in literature and compare them using contemporary datasets and metrics for evaluation. Histograms are compared based on their retrieval performance as well as resource usage.
|
L. Šerić, M. Jukić, M. Braović (Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, Croatia)
Intelligent Traffic Recommender System
In this paper we present our solution of using ICT and ubiquitous computing with the goal of reducing traffic congestion during the peek hours. The solution is in presenting intelligent recommender system that is based on the combination of several machine learning techniques used for traffic density estimation, and recommending the optimal period for accessing the crossroad. We describe the design and implementation of that system, and also perform a simulation that shows its usefulness.
|
D. Bošković, Z. Avdagić (University of Sarajevo, Sarajevo, Bosnia and Herzegovina)
Cloning Fuzzy Inference System Component Behavior with an Artificial Neural Network Component
This paper presents results in cloning Fuzzy Inference System (FIS) component behavior using an Artificial Neural Network (ANN) component. Both FIS and ANN components are part of the intelligent framework and developed in Java programming language. The FIS component generates training set for the ANN component containing a sequence of representative input combinations accompanied with the respective output. The FIS component sends necessary configuration data and training set data to the ANN component. After the training, the ANN component is presented with input data, and results are compared.
|
L. Šerić, K. Korun Curić (Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, Croatia), M. Šušnjar (Bit-Art Informatika, Split, Croatia)
Principal Component Analysis of Fatigue Strength
In this paper authors examine the possibility of using modeling technique based on Principal Component Analysis (PCA) on fatigue strength modeling of selected specimens of steel. The PCA technique will be used for data analysis and model development with goal of identification of variables with most influence on fatigue strength. The model is trained upon data available in literature and application of described model is tested on series of laboratory experiments.
|
S. Kalem, D. Đonko, D. Bošković (Faculty of Electrical Engineering/ Department for Computing and Informatics, Sarajevo, Bosnia and Herzegovina)
Agile Methods for Cloud Computing
Since agile development was invented in the mid-1990s, and it changed the way of software development. The emphasis is placed on short development cycles based on feedback from customer. But, agile development was missing important component – development platform for supporting fast development cycles. That missing linking component is cloud computing, which eliminates major distribution requests which can downgrade agile development.
The goal of this paper is to describe the connection of agile methods for software development on cloud computing platform. Describing that connection, benefits and improvements in whole software development process are being pointed out. As a practical part of this paper work, the application for warehouse management is developed applying agile method DSDM (Dynamic Systems Development Method) on Google App Engine platform as a service. This development is contrasted with the development of the application for warehouse management by agile methods but on a traditional way.
|
D. Annenkov (National Research Irkutsk State Technical University, Irkutsk, Russian Federation), E. Cherkashin (Institute of System Dynamics and Control Theory SB RAS, Irkutsk, Russian Federation)
Generation Technique for Django MVC Web Framework Using the Stratego Transformation Language
Domain Specific Languages (DSL) allows one to raise level of abstraction, improve development productivity and establish communication between domain experts and developers. Language-oriented programming (LOP) is a new paradigm based on DSL construction, allowing to separate domain-specific and technology-specific aspects of a system under development. LOP shares some ideas with model-driven architecture (MDA) and model-driven development (MDD). The purpose of this work is to show advantages of the term rewriting techniques in DSL development, including aspects of error checking, code completion, refactorings, and target code generation.
Spoofax language workbench is used as a primary tool for DSL building. Spoofax is based on Stratego, which is a transformation language with programmable rewriting strategies and Syntax Definition Formalism (SDF), as language for grammar definition. As an example of DSL a simple textual language for domain modeling is considered. Rewriting rules and strategies are used as an uniform approach to generate, validate DSL code, and make arbitrary abstract syntax tree (AST) transformations (e.g. simplification/optimisation). Rules for code generation implemented using so called “string interpolation” technique.
Source DSL code translated to python code that can be deployed within Django web framework, resulting to a web-application with create/update/delete functionality on a corresponding database. Developed DSL can be extended with ability to add constraints imposed by domain.
Rewriting language fits well to DSL development job using “language definition by transformation” approach. With good support of the IDE one can get a productive environment for DSL development.
Translation of a DSL definition to a python code is carried on by means of a set of rules named to-django-model and to-django-admin. The first rule set generates Django models code and second one generates configuration code for Django administrator user interface. Each set consist of rules with same name (e.g. to-django-model) but every rule defines translation for some specific node of the AST. Rules are chained form the root node to leafs. Applying rule to the root node initiates a cascade of transformations, resulting in complete Django models and administration subsystem configurations.
Spoofax workbench generates sample rules for DSL checking (constraint-error, constraint-warning) and code completion (editor-complete). Addition of custom rules for checking type of the properties and associations. Code completion rules allow one to obtain a list of available build-in types for properties and available entities for associations.
Developed DSL is an example of “definition by transformation” approach. To get real benefits from DSL we need to add more domain specific features in DSL. That will allow to use it as fully-featured language for domain-driven design approach.
|
|
Basic information:
Chairs:
Slobodan Ribarić (Croatia), Andrea Budin (Croatia)
International Program Committee General Chair:
Petar Biljanović (Croatia)
International Program Committee:
Alberto Abello Gamazo (Spain), Slavko Amon (Slovenia), Vesna Anđelić (Croatia), Michael E. Auer (Austria), Mirta Baranović (Croatia), Ladjel Bellatreche (France), Nikola Bogunović (Croatia), Andrea Budin (Croatia), Željko Butković (Croatia), Željka Car (Croatia), Matjaž Colnarič (Slovenia), Alfredo Cuzzocrea (Italy), Marina Čičin-Šain (Croatia), Dragan Čišić (Croatia), Marko Delimar (Croatia), Todd Eavis (Canada), Maurizio Ferrari (Italy), Bekim Fetaji (Macedonia), Tihana Galinac Grbac (Croatia), Liljana Gavrilovska (Macedonia), Matteo Golfarelli (Italy), Stjepan Golubić (Croatia), Francesco Gregoretti (Italy), Stjepan Groš (Croatia), Niko Guid (Slovenia), Yike Guo (United Kingdom), Jaak Henno (Estonia), Ladislav Hluchy (Slovakia), Vlasta Hudek (Croatia), Željko Hutinski (Croatia), Mile Ivanda (Croatia), Hannu Jaakkola (Finland), Robert Jones (Switzerland), Peter Kacsuk (Hungary), Aneta Karaivanova (Bulgaria), Bernhard Katzy (Germany), Christian Kittl (Austria), Dragan Knežević (Croatia), Mladen Mauher (Croatia), Branko Mikac (Croatia), Veljko Milutinović (Serbia), Alexandru-Ioan Mincu (Slovenia), Vladimir Mrvoš (Croatia), Jadranko F. Novak (Croatia), Jesus Pardillo (Spain), Nikola Pavešić (Slovenia), Ivan Petrović (Croatia), Joško Radej (Croatia), Goran Radić (Croatia), Slobodan Ribarić (Croatia), Karolj Skala (Croatia), Ivanka Sluganović (Croatia), Vanja Smokvina (Croatia), Vlado Sruk (Croatia), Ninoslav Stojadinović (Serbia), Jadranka Šunde (Australia), Aleksandar Szabo (Croatia), Laszlo Szirmay-Kalos (Hungary), Dina Šimunić (Croatia), Goran Škvarč (Croatia), Antonio Teixeira (Portugal), Edvard Tijan (Croatia), A. Min Tjoa (Austria), Roman Trobec (Slovenia), Ivana Turčić Prstačić (Croatia), Walter Ukovich (Italy), Ivan Uroda (Croatia), Tibor Vámos (Hungary), Mladen Varga (Croatia), Boris Vrdoljak (Croatia), Robert Wrembel (Poland), Baldomir Zajc (Slovenia)
Registration / Fees:
|
REGISTRATION / FEES
|
Price in EUR
|
|
Before May 6, 2013
|
After May 6, 2013
|
| Members of MIPRO and IEEE |
180
|
200
|
| Students (undergraduate), primary and secondary school teachers |
100
|
110
|
| Others |
200
|
220
|
Contacts:
Slobodan Ribarić
Faculty of Electrical Engineering and Computing
Unska 3
HR-10000 Zagreb, Croatia
Phone: +385 1 612 99 52
Fax: +385 1 612 96 53
E-mail: slobodan.ribaric@fer.hr
Andrea Budin
Ericsson Nikola Tesla Inc.
R&D Center
Krapinska 45
HR-10000 Zagreb, Croatia
Phone:+385 1 365 34 23
Fax: +385 1 365 3548
E-mail: andrea.budin@ericsson.com
Location:
Opatija, often called the Nice of the Adriatic, is one of the most popular tourist resorts in Croatia and a place with the longest tourist tradition on the eastern part of Adriatic coast. Opatija is so attractive that at the end of the 19th and beginning of the 20thcenturies it was visited by the most prominent personalities: Giacomo Puccini, Pietro Mascagni, A. P. Čehov, James Joyce, Isidora Duncan, Beniamino Gigli, Primo Carnera, Emperor Franz Joseph, German Emperor Wilhelm II, Swedish Royal Couple Oscar and Sophia, King George of Greece.
The offer includes 20-odd hotels, a large number of catering establishments, sports and recreational facilities.
For more details please look at www.opatija.hr/ and www.opatija-tourism.hr/.
|
|
|
|
| Currently there are no news |
|
|
|
|
|