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srijeda, 22.5.2019 15:00 - 19:00, Leut I, Hotel Admiral, Opatija 15:00-16:20 Papers - Track: Internet of Things   1. M. Ullah, K. Smolander (Lappeenranta University of Technology, Lappeenranta, Finland) Highlighting the Key Factors of an IoT Platform  The Internet of Things (IoT) is a hot topic in the engineering and technology community, and IoTenabled devices are becoming increasingly common due to advancements in technology. IoT platforms provide valuable and specific services for IoT applications, and the number of platforms used by IoT applications is growing rapidly commensurate with the increasing number of IoT devices. However, fierce competition between IoT platforms is making it difficult for companies to select a suitable type of IoT platform for their business needs. This paper attempts to identify the important factors of IoT platforms that can be consider before selecting an IoT platform. In this paper, Twenty-one important IoT platform factors are identified from the literature and these factors were then verified by the Delphi method and categorized. This paper aims to help companies choose an appropriate IoT platform from the huge number and variety of IoT platforms available in the market. 2. J. Raychev, G. Hristov, D. Kinaneva, P. Zahariev, E. Kyostebekov (University of Ruse "Angel Kanchev", Ruse, Bulgaria) Cloud Connected Smart Birdhouse for Environmental Parameter Monitoring  Internet of Things (IoT) is an emerging technology that is changing our world making it a smarter and better place to live in. The idea of building a smarter and connected world cannot be imagined without the IoT. Most modern houses and building are equipped with a lot of sensors that are constantly monitoring the environmental parameters and report them to the owner or the residents. Unfortunately we are not the only ones living on the planet. As more evolved species we have to take care and look after the wildlife as well. According to a recent study carried out from CNRS the population of farmland birds is declining by one third in the last 17 years. This is a huge potential problem for the bird population, biodiversity and the ecosystem as a whole. Finding food and water supplies is quite daunting task especially during cold weather. That is where the IoT technology comes into play. The focus of this paper is to present a full workflow for development of a cloud connected smart bird houses and investigate the possibility of introducing the IoT concept to the wildlife. The proposed workflow is divided into several distinct parts. The first one will encompass everything related to the designing and building the physical bird house. In order to maximize efficiency, the house has to be designed in a way that all of the used electrical components do not obstruct the life of the birds. Each of the designed smart bird houses is going to be equipped with several high quality sensors for monitoring environmental parameters such as temperature, humidity and atmospheric pressure. In addition to that the bird houses will be also equipped with a smart feeder and smart water reservoir the levels of which are going to be measured by different methods and various sensors. The bird’s feeder and the water reservoir is due to the need of making the house more habitable to birds. The monitoring of the water reservoir and the feeder are essential part of the project because in this way we would be able to monitor the food and water supplie. The second part of the workflow is the planning of all electrical components that are going to be needed, designing the electrical schematic and building a working prototype. The third part is related to connecting the smart house to the cloud. Because the house is going to be deployed in a remote location, the connection to the cloud has to be achieved by a wireless technology such as WiFi, Lora, ZigBee. The last part of the workflow is going to deal with the storage and visualization of the information. As already mentioned the system will be equipped with several sensors that are going to take measurements of the surrounding environment (temperature, humidity, and atmospheric pressure) as well as the food and water supply levels. The pulled from the sensors information is going to be sent to a cloud based platform for storage and further processing. The processed data is then sent to an application server for visual representation to the administrators and end users. The visualization of the information will be presented by a desktop application as well as applications for Android and IOS devices. The designed front end application will be divided into several major section and provide information about the geolocation of each smart bird house, readings of each individual sensors and their respective plots (for specific time period), number of bird visits to the house as well as food and water supply levels. 3. E. Guberović, F. Krišto, P. Krivić, I. Čavrak (Fakultet elektrotehnike i računarstva, Zagreb, Croatia) Assessing Compression Algorithms on IoT Sensor Nodes  With the ever growing presence of IoT devices in everyday applications, the sheer volume of data exchanged is increasing rapidly. Communication channels' bandwidth used in these applications often presents a bottleneck and limits the frequency at which data can be exchanged, making application of compression beforehand a viable approach. In this paper, we analyze some of the well known lossless compression algorithms capable of seamless integration as software modules on embedded devices used in (near) real-time applications. Low processing and memory resources available on them as well as unsteadiness of aforementioned communication channels were taken into consideration in algorithm selection. Attained compression ratio is evaluated on data harvested from smart meters, whilst time and energy consumed during processing were analyzed within a measurement framework purposefully built for this research. We show that considerable gains can be attained in the volume of data that can be sent from devices based on commonly used microcontrollers, with only a modest toll on time and overall energy used. 4. J. Knezović, B. Pervan (University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia), Z. Relja (Brain Information Technologies d.o.o., Zagreb, Croatia), J. Knezović (University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia) Project Houseleek - A Case Study of Applied Object Recognition Models in Internet of Things  Nowadays, the gap between academic work and practical application of that work is rapidly diminishing. This fact can be backed by several factors: the increase in availability of the research results, as well as research artifacts; the rise in the level of education in general; the availability of broadband networks and the more affordable prices of the technology used for research. Also, due to the pervasion of the technology in all spheres of society, there is an emergence of new possibilities of applying disruptive technologies at all levels, including homes or workplaces of individual users. This paper presents Project Houseleek: a multilayer system that utilizes disruptive technologies to enhance and facilitate access to individual premises in smart areas. On the authentication layer, the system uses disruptive deep learning technologies to identify or learn itself a person in a real-world environment from an image grabbed in relatively rough conditions, while at the authorization layer it learns at runtime the access rights to specific parts of the smart area for that person. The testing system is implemented at the Department of Control and Computer Engineering, Faculty of Electrical Engineering and Computing where it exceeded the expectations of the users on both authentication and authorization layers. 16:20-17:00 Break  17:00-18:40 Papers - Track: Data Analytics   5. L. Tadić, P. Afrić, L. Šikić, A. Kurdija, K. Vladimir, G. Delač, M. Šilić (FER, Zagreb, Croatia) Analysis and Comparison of Exact and Approximate Bin Packing Algorithms  In this paper we describe the Bin packing problem (BPP) and evaluate standard state of the art approaches to its solution. Because BPP is NP-hard, there is no exact algorithm which solves the problem in polynomial time. We describe several approximate algorithms and the exact Martello-Toth-Procedure (MTP) for solving BPP. Approximate algorithms are executed in polynomial time, but they do not give optimal solutions in general. MTP searches the solution space with the help of lower bounds and approximate algorithms to minimize the solution space. For aproximate algorithms we use the worst-case-to-optimal-solution ratio as a measure of effectiveness. We evaluate the relative deviation from optimal solutions for all described approximate algorithms using instances of BPP for which proven optimal solutions are found. We compare the MTP algorithm performance to those results in order to demonstrate its superiority. 6. E. Musa, G. Delač, M. Šilić, K. Vladimir (Fakultet elektrotehnike i računarstva, Zagreb, Croatia) Comparison of Relational and Time-Series Databases for Real-Time Massive Datasets  Many contemporary technical systems, like IoT environments, are designed to work perpetually and collect data in a form of time series. To enable efficient data aggregation and analysis with time interval constraints, a special type of databases optimized for time-series has been developed. In this paper, we conduct a thorough performance comparison of a time-series database InfluxDB and a widely used object-relational database PostgreSql. We present our findings and outline scenarios in which a certain database has a performance advantage. 7. M. Požek, L. Šikić, P. Afrić, A. Kurdija, K. Vladimir, G. Delač, M. Šilić (Fakultet Elektrotehnike i računarstva, Zagreb, Croatia) Performance of Common Classifiers on node2vec Network Representations  In this paper we evaluate the performance of different multi-label classifiers on the network graphs. Since node embedding techniques have been widely used to represent and analyze networks structures, we decide to transform network data (nodes and links) into descriptive attributes that contain the correct information about the network structure. For this purpose, we use a state-of-the-art algorithmic framework node2vec, which has been shown to outperform other popular methods when applied to multi-label classification as it manages to efficiently learn nodes mapping to a low-dimensional space of features. By applying this framework, we generate a set of representations for multiple network data sets. Using generated representations, we evaluate the performance of common classifiers. We perform cross-validation and parameter tuning to get the best possible model for each classifier type. To compare their performance, we computed Precision, Recall and F1 scores for each competing model on each data set. Following that, the obtained results are analyzed and compared. 8. D. Miljković (Hrvatska elektroprivreda d.d., Zagreb, Croatia) Analysis and Synthesis of Fountain Sound  Fountains are appealing visual and acoustic additions to outdoor and indoor spaces. By pouring or jetting water, fountains produce pleasant and tranquil sounds of flowing water and water bubbles. The sound of the fountain depends on its water feature style that produces sound with the particular sound level, frequency and temporal envelope characteristics. In this paper, analysis of frequency spectrum and variations in a temporal envelope of the fountain sound are performed. Methods for the synthesis of fountain sound are outlined, including physical modeling synthesis and conventional sampling synthesis using prerecorded sound waveforms. 9. D. Miljković (Hrvatska elektroprivreda d.d., Zagreb, Croatia) Detecting Aircraft Piston Engine Problems by Analysis of Engine Parameters  The majority of general aviation aircrafts use piston engines that are considerably less reliable than turbine engines. Most problems of aircraft piston engines are reflected in engine temperature parameters like cylinder head temperature (CHT) and exhaust gas temperature (EGT) that are recorded by engine monitor. Three approaches for detection of engine problems are presented. Many problems may be detected by comparison of statistical distributions of CHTs and EGTs from individual cylinders. Incipient exhaust valve failure may be detected from temporal EGT pattern containing low frequency fluctuations. The life of the exhaust valve depends on its operating temperature. Because EGT is the major contributor to the overheating of the exhaust valve and its cooling mostly depends on the CHT, the remaining life of exhaust valve may be assessed from cumulative sum of EGT and CHT during the period of use. četvrtak, 23.5.2019 10:30 - 13:00, Galija, Hotel Admiral, Opatija 10:30-12:00 Invited Lectures   • G. Brunetti (Danieli Automation S.p.A., Buttrio, Italy) Danieli Automation Approach to Intelligent Plant  • G. Brunetti (Danieli Automation S.p.A., Buttrio, Italy) Q3OPT: Automatic Scheduling in Meltshop  • Z. Kovačić (Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia) Industry 4.0: Experience of Technology Transfer from an Academic Laboratory to Manufacturing Sites of Industrial Partners  12:00-13:00 Panel   Intelligent Production  četvrtak, 23.5.2019 15:00 - 19:00, Galija, Hotel Admiral, Opatija 15:00-16:40 Papers - Track: Robotics and Automation   1. D. Kostylev, A. Tolstikhin, S. Ulyanov (Matrosov Institute for System Dynamics and Control Theory at Siberian Branch of Russian Academy of S, Irkutsk, Russian Federation) Development of the Complex Modelling System for Intelligent Control Algorithms Testing  Testing is an essential stage of software and algorithms development, especially in the field of autonomous vehicle controllers, where even one mistake could lead to the whole mission failure. Software-only modeling systems are unable to consider all the real-world factors like sensors and motors inaccuracy. We have developed a complex modelling system for the purposes of behavior inspection of robots controlled by intelligent algorithms. This paper presents basic approaches to general architecture of multi-robot systems, scenarios (missions) formalization, communication between agents and robot navigation on the scene. The server-side application, which allows controlling missions (scenarios), monitoring and varying parameters of robots or the environment, is the result of the reported research. Also, the application provides the capability for messaging between all participants of a mission, and identifying robots on the scene for navigation and testing purposes. The proposed system makes the development process easier and allows creating more stable control methods. 2. K. Bedenko (Matrosov Institute for System Dynamics and Control Theory, Irkutsk, Russian Federation) Algorithmic and Programming Approaches to the Underwater Terrain Generation  Procedural reliefs are used for many purposes in military tasks, training for operators of robotic systems, game development, etc. The aim of this paper is to propose algorithmic and programming approaches to the problem of various realistic landscape generation. The proposed terrain generator is developed as a part of the programming simulation complex for the autonomous underwater vehicles intelligent group control. We suggest using specialized application architecture that allows to conveniently represent the landscape as a combination of independent layers and parts. We have developed the approaches for modifying terrain generation algorithmic schemes to fill layers and to combine relief parts in natural ways. This algorithmic schemes are based on Perlin noise and Diamond-Square algorithm. The visual results of the suggested approach software implementation are presented. 3. M. Vukić, B. Grgić, D. Dinčir, L. Kostelac, I. Marković (University of Zagreb Faculty of Electrical Engineering and Computing, Zagreb, Croatia) Unity Based Urban Environment Simulation for Autonomous Vehicle Stereo Vision Evaluation  Testing and evaluation of sensor processing algorithms for autonomous vehicles is challenging due to the problem of collecting reference data. To ensure safety and robustness, many man-hours need to be spent in collecting and preparing such data. One solution to alleviate this problem is to use computer simulations. Computer simulations can model a real system with all its static and dynamic characteristics. This approach provides efficiency and precision when collecting data and reduces testing time. The aim of this paper is development of a simulation where it would be possible to test sensors and algorithms for autonomous vehicles and show deviations from reference data. The proposed simulation model contains average city objects and participants: roads, sidewalks, buildings, pedestrians, traffic signs and vehicles. In this paper we simulate motion and sensors from a single vehicle equipped with a stereo camera setup. The program environment Unity is used for designing the simulation, and behavioural scripts are executed with C# programming language. To showcase the testing of applicable algorithms, OpenCV class for computing stereo correspondence, using the semi-global block matching algorithm, is used on simulated stereo images. Additionally, other algorithms suitable for testing are discussed together with future development of the simulation. 4. K. Blašković, D. Milovan (TEMA Automatizacija u industiji d.o.o., Pula, Croatia) Remote Control System Concept in Electric and Hybrid Marine Propulsion Objects  Modern designs in shipbuilding industry, regardless of whether they are intended for cargo, passenger or particularly dedicated working ships and platforms, mostly use electric or hybrid propulsion. The new technology in marine propulsion and flexible operator´s position during maneuvering requires redesign of traditional remote-control system. The article proposes digitally organized, soft programmable, CAN communication-based concept, solving electric and hybrid marine propulsion specific request in controlling propeller speed, direction and ship maneuverability from bridge, wings or any fly deck on the ship as well offers to operator a real time propulsion system control and monitoring. This technical concept proposes modular expandable solution adapted to the needs of the new propulsion drive train and applicable in most modern marine electrically propelled objects. 5. M. Švec (Faculty Of Electrical Engineering and Computing, Zagreb, Croatia), K. Hrvatinić (Rimac Automobili d.o.o., Sveta Nedelja, Croatia), Š. Ileš, J. Matuško (Faculty of Electrical Engineering and Computing, Zagreb, Croatia) Predictive Torque Vectoring Vehicle Control Based on a Linear Time Varying Model  In this paper we propose a torque vectoring and steering system based on a model predictive control (MPC) algorithm for a linear time varying (LTV) vehicle model. The goal is to ensure good reference tracking, while fulfilling various physical and design constraints. Non-linear vehicle model uses steering angle and wheel slip ratios as inputs. For the control purposes, the model is linearized along the trajectory and then transformed to discrete time domain. Afterwards, the controller is tested using the sine with dwell driving manoeuvre with different prediction horizon lengths and different linearization approaches. Additionally, autonomously steered vehicle is compared to semi-autonomous vehicle in which the steering angle is determined by the driver and the results are discussed. 16:40-17:00 Break  17:00-18:00 Papers - Track: Embedded Systems and Applications   6. I. Piljić, L. Dragić, A. Duspara, M. Čobrnić, H. Mlinarić, M. Kovač (Faculty of electrical engineering and computing, University of Zagreb, Zagreb, Croatia) Bolt65 – Performance-optimized HEVC HW/SW Suite for Just-in-Time Video Processing  This paper presents Bolt65 HEVC software/hardware suite, consisting of encoder, decoder and transcoder, that is being developed at Faculty of electrical engineering and computing, University of Zagreb. One of the primary focus of Bolt65 is achieving Just-in-Time requirements that would enable video encoding/transcoding on demand. To achieve this goal, Bolt65 tries to maximally utilize all software and hardware components of the system on different architectures, from homogeneous CPU architectures with vector extensions to heterogeneous, accelerator-based architectures that have different types of processing cores. CPU-only implementation of Bolt65 was compared with referent HM HEVC software in three different encoding configurations: All Intra (AI), Low delay (LD) and Random Access (RA). Results show that Bolt65 achieves significant speed-up in all configurations and bitrate savings in AI and RA modes, while sacrificing quality in order to achieve just-in-time requirements. 7. L. Strižić (Google, Zurich, Switzerland), B. Pervan, J. Knezovic (Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia) Deep Learning Accelerator on Programmable Heterogeneous System with RISC-V Processor  The emergence of deep learning and neural networks has enabled tremendous advances in various applications, requiring substantial computational resources for training on large datasets. The use of dedicated, application-specific chips can increase neural network training performance and reduce power consumption when compared to general purpose units such as a CPU and a GPU. The non-von-Neumann architecture of such a chip implements a neural network directly in its digital logic. Google, for example, developed a neural network accelerator in-house, called the Tensor Processing Unit. There are many such neural-network-specific logic designs and a common stepping-stone in developing neural network ASICs (Application Specific Integrated Circuits) is designing them for an FPGA (Field Programmable Gate Array) first. This paper explores a heterogeneous, open source, RISC-V based platform, called PULP (Parallel Ultra-Low-Power Processing Platform) together with tailored MAC (multiply and accumulate) extension accelerator for neural network acceleration. A non-accelerated, CPU-only implementation of a neural network is compared to a fixed-point accelerated implementation and a binarized accelerated implementation. To reduce the hardware complexity, the binarized neural network is selected and compared with fixed-point implementation. We show that the binarized accelerated implementation is faster than the fixed-point accelerated implementation, albeit with some loss in precision, but still a good generalization, as a consequence of the binarization. 8. S. Mulhem, M. Mohammad, W. Adi (Technical University of Braunschweig, Braunschweig, Germany) A New Low-Complexity Cipher Class for Clone-Resistant Identities  A new cipher class based on permutation polynomials in two variables over a ring and Golden S-Boxes are presented. Due to a recursive architecture, the realization hardware complexity of such class is negligible in some emerging future FPGA technologies. The target application of such ciphers is in creating the so-called Secret Unknown Ciphers (SUC) to serve as resilient clone-resistant identities in smart self-reconfiguring non-volatile FPGA devices. The security levels of cipher structures are analyzed and evaluated. The main target of this work is to show the particular and efficient proposal for a clone-resistant identity when SUC techniques are involved. 18:00-18:40 Papers - Track: Professional Papers in Croatian  9. M. Kos, M. Lučan, G. Malčić (Tehničko veleučilište u Zagrebu, Zagreb, Croatia) Automatizacija proizvodne linije u mesnoj industriji  Tema ovog rada je automatizacija proizvodne linije u mesnoj industriji i to na način da je potpuno demontirano zastarjelo relejno upravljanje, te razvijeno potpuno novo upravljanje na bazi PLC uređaja. Na osnovu mehaničke konstrukcije stroja dan je tehničko tehnološki opis rada linije prema kojemu je odabrano tehničko rješenje. Tehničko rješenje obuhvaća principe pneumatike i hidraulike koji se koriste na liniji, odabir sklopne opreme, PLC opreme, senzorike i njihove karakteristike. Prema odabranoj opremi nacrtana je električna shema, opisan princip rada pojedinih dijelova sheme i izveden elektro ormar. Prema izvedenom stanju elektro ormara i tehničko tehnološkom opisu napravljen je upravljački program ladder tehnikom programiranja i proizvodna linija puštena u pogon. 10. M. Horvatić (Sveučilište Sjever, Varaždin, Croatia), K. Lazar (BHS Corrugated Strojevi d.o.o., Varaždin, Croatia), M. Mikac (Sveučilište Sjever, Varaždin, Croatia) Realizacija sustava za kontrolu pristupa temeljenog na Raspberry platformi  Suvremeni elektronički sustavi omogućili su brzu i jednostavnu kontrolu pristupa određenim objektima. Komercijalni sustavi za kontrolu pristupa često imaju relativno visoku cijenu te su najčešće zatvorenog tipa, onemogućavajući jednostavnu nadogradnju i prilagodbu potrebama korisnika. U radu je prikazana realizacija jeftinog i modularnog sustava za kontrolu pristupa temeljenog na Raspberry Pi 2 računalu. Sustav koristi pasivno infracrveno osjetilo, radiofrekvencijski čitač identifikacijskih čipova (kartica, narukvica i slično), alfanumerički zaslon za prikaz poruka namijenjenih korisniku, te kameru koja se koristi za arhiviranje i dodatnu kontrolu pristupa. Sustav kombinira module za realizaciju jednostavnog i efikasnog sustava kontrole pristupa. Infracrveno osjetilo detektira korisnika u blizinu uređaja, nakon čega se na alfanumeričkom zaslonu ispisuje poruka da korisnik treba približiti svoj identifikacijski čip. Provodi se očitanje identifikacijskog čipa, obrada podataka i donosi odluka o propuštanju ili blokadi korisnika. Pri tome se dodatno koristi kamera za fotografiranje korisnika. Za evidenciju pristupa i pohranu fotografija koristi se standardni sustav za pohranu na memorijske kartice, integriran u Raspberry Pi 2 računalo. Zapisi podataka i fotografija su spremljeni u standardnim formatima pa se daljnja obrada i analiza prikupljenih podataka provodi uobičajenim alatima na računalu. 11. M. Mokrovčak, M. Lučan, G. Malčić (Tehničko veleučilište u Zagrebu, Zagreb, Croatia) Regulator sustava centralnog grijanja s kompenzacijom po vanjskoj temperaturi  Centralno grijanje u modernim društvima opće je prihvaćen pojam za komfor življenja.Regulacija centralnog grijanja može se ostvariti na razne načine. Bez obzira koji tip regulacije primjenjujemo u sustavu svima je zajednički cilj da osiguraju željenu temperaturu u prostoru u kojem se boravi.Jedan od efikasnih načina regulacije temperature prostorija u kojima se boravi je regulacija preko temperature polaznoga voda. Kada se takvoj regulaciji pridoda i kompenzacija po vanjskoj temperaturi dobivamo regulator koji smo razvili.Ovaj tip regulatora namijenjen je prvenstveno zahtjevnijim korisnicima kao što su industrijski kompleksi i veći stambeni kompleksi.Kod projektiranja ovog regulatora iskorištene su sve prednosti prošle verzije analognog regulatora centralnog grijanja, ali smo novim regulatorom postigli univerzalnost i mogućnost rješavanja regulacija u sustavima u kojima je to s starim regulatorom nije bilo moguće.Posebna briga vodila se je na polju pristupačnosti regulatora kranjem korisniku i monteru. Tako je razvijen mod rada „čarobnjak“ u kojem se u par jednostavnih koraka regulator prilagođava sustavu centralnog grijanja bez ikakvog manualnog podešavanja.

Vlado Sruk (Croatia), Dejan Škvorc (Croatia), Jadranko F. Novak (Croatia)

Matjaž Colnarič (Slovenia), Željko Hocenski (Croatia), Niko Guid (Slovenia)

Popust se ne odnosi na studente doktorskog studija.

Vlado Sruk
Fakultet elektrotehnike i računarstva
Unska 3 
10000 Zagreb, Hrvatska

Tel.: +385 1 612 99 45
Faks: +385 1 612 96 53 
E-mail: vlado.sruk@fer.hr

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Postoji mogućnost da se odabrani znanstveni radovi uz određenu doradu objave u međunarodnom časopisu Journal of Computing and Information Technology (CIT). 

Opatija, sa 170 godina dugom turističkom tradicijom, vodeće je ljetovalište na istočnoj strani Jadrana i jedno od najpoznatijih na Mediteranu. Ovaj grad aristokratske arhitekture i stila već 170 godina privlači svjetski poznate umjetnike, političare, kraljeve, znanstvenike, sportaše, ali i poslovne ljude, bankare, menadžere i sve kojima Opatija nudi svoje brojne sadržaje. 

Opatija svojim gostima nudi brojne komforne hotele, odlične restorane, zabavne sadržaje, umjetničke festivale, vrhunske koncerte ozbiljne i zabavne glazbe, uređene plaže i brojne bazene i sve što je potrebno za ugodan boravak gostiju različitih afiniteta. 

U novije doba Opatija je jedan od najpoznatijih kongresnih gradova na Mediteranu, posebno prepoznatljiva po međunarodnim ICT skupovima MIPRO koji se u njoj održavaju od 1979. godine i koji redovito okupljaju preko tisuću sudionika iz četrdesetak zemalja. Ovi skupovi Opatiju promoviraju u nezaobilazan tehnološki, poslovni, obrazovni i znanstveni centar jugoistočne Europe i Europske unije općenito.

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