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Book: ICIST 2018 Proceedings

About the book

Subtitle	Proceedings of the 8th International Conference on Information Society and Technology
Book edition	ISOS Conference Proceedings Series
ISBN	978-86-85525-22-3
ISSN (Online)	2738-1447
Publisher	Information Society of Serbia - ISOS
Publisher location	Belgrade, Serbia
Copyright holder	Information Society of Serbia - ISOS
Published	2018
Conference	ICIST 2018 - 8th International Conference on Information Society and Technology
Copyright year	2018

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Book editors

Konjović, Zora

Singidunum University

Faculty of Technical Sciences, University of Novi Sad

Zdravković, Milan

Faculty of Mechanical Engineering, University of Niš

Trajanović, Miroslav

Faculty of Mechanical Engineering, University of Niš

The 8th International Conference on Information Society and Technology (ICIST 2018) took place in Kopaonik, Serbia on Mar 11-14, 2018. This edition of the ICIST conference did not have specific thematic orientation. However, it welcomed three special tracks, namely ICT for Automotive (8 papers), Industrial Internet-of-things for Smart and Sensing systems (8 papers), and ICT for health, aging and well-being (13 papers).

The International Programme Committee (IPC) of the conference was gathered after several invitations to internationally recognized experts and researchers from the relevant fields. 59 members from 20 countries have participated in the work of IPC.

The conference received 82 submissions with total of 226 co-authors. The international dimension of the conference was re-affirmed by the interest to contribute of authors from 20 countries. All submissions in the form of extended abstracts were reviewed by 1-4 members of the International Programme Committee. The authors of 72 submissions were invited to submit the full paper. Traditionally, the invited submissions are presented in a regular sessions or poster sessions. The regular sessions include presentations of submissions with high level of scientific contribution. The poster sessions are typically reserved for technical papers, technology demonstrations, use cases and similar. Out of all submissions, 52 were presented in regular sessions, and 20 – in poster sessions.

Although the conference has wide list of topics of general interest for scientific contribution to ICT domain, the traditional thematic orientations were preserved also in this issue. Namely, besides the special tracks listed above (IoT, IT and health and IT applications in automotive industry), high interest for working in some specific research topics was re-confirmed. Those topics are software development, with the special emphasis on model-based software development (7 papers) and information systems (11 papers). Trend of increasing interest of researchers in machine learning was recognized by introducing regular data science session with 7 papers.

Basic Metrics

Number of book views	2189
Number of book downloads	11851
Number of papers in the book	72
Number of countries	16
Number of cities	25
Number of institutions	66
Number of book shares	Facebook: 614 Twitter: 673 Google Plus: 817 Linkedin: 693

Countries

Serbia (146), Portugal (14), Slovenia (14), Republic of Macedonia (7), Brasil (5), Switzerland (5), Croatia (4), Romania (4), Austria (3), Bulgaria (3), France (2), Italy (2), Germany (1), Greece (1), Ireland (1), Montenegro (1)

Cities

Novi Sad (68), Belgrade (40), Niš (29), Ljubljana (14), Lisbon (8), Kragujevac (6), Caparica (6), Curitiba (5), Lausanne (5), Skopje (5), Bucharest (4), Osijek (4), Graz (3), Sofia (3), Čačak (2), Bitola (2), Munich (1), Waterford (1), Strasbourg (1), Novi Pazar (1), Montpellier (1), Budva (1), Bari (1), Heraklion (1), Conversano (1)

Institutions

Faculty of Technical Sciences, University of Novi Sad (44)
Faculty of Technical Sciences, Computing and Control Department, University of Novi Sad (11)
University of Belgrade, Institute Mihailo Pupin (10)
Faculty of Electrical Engineering, University of Niš (10)
University ISCTE-IUL (8)
Faculty of Mechanical Engineering, University of Niš (8)
Faculty of Electrical Engineering, University of Ljubljana, Slovenia (7)
Jaroslav Černi Institute (6)
CTS, Uninova, Dep. de Eng. Electrotécnica, Faculdade de Ciências e Tecnologia, FCT , Universidade Nova de Lisboa (6)
SmartCardia Inc. (5)
Mechanical Engineering Faculty, J.J.Strossmayer University of Osijek (4)
College of Applied Technical Sciences Niš (4)
Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje (4)
Pontifical Catholic University of Parana – PUCPR / PPGEPS (4)
Faculty of Engineering, University of Kragujevac (4)
Intelligent Information Systems Laboratory, Faculty of Electronic Engineering, University of Nis (3)
University Politehnica of Bucharest, Faculty of Automatic Control and Computers (3)
Graz University of Technology (3)
NERVteh (3)
University of Belgrade, Faculty of Mining and Geology (3)
School of Electrical Engineering, University of Belgrade (3)
Faculty of Mathematics and Informatics, University of Sofia (3)
University of Novi Sad, Faculty of Technical Sciences, Chair of Informatics (3)
Faculty of Computer and Information Science, University of Ljubljana (3)
Faculty of Organizational Sciences, University of Belgrade (2)
Centre for Applied Mathematics and Electronics, Serbian Armed Forces (2)
Clinic for Vascular and Endovascular Surgery, Serbian Clinical Center (2)
Medical Faculty, University of Novi Sad (2)
University of Nis, Faculty of Electronic Engineering, Department of Telecommunications (2)
Faculty of Medical Science, University of Kragujevac (2)
Faculty of Sciences, University of Novi Sad (2)
University St.Kliment Ohridski/Informatics and Computer Sciences Department (2)
Faculty of Technical Sciences Čačak, University of Kragujevac (2)
University of Novi Sad, Faculty of Technical Sciences, Department of automation, geomatics and control systems (1)
Waterford Institute of Technology, Telecommunications Software & Systems Group (1)
School of Electrical and Computer Engineering of Applied Studies (1)
University of Novi Sad, Faculty of technical sciences Novi Sad, Department for transport (1)
State University of Novi Pazar / Department of Technical Sciences (1)
Student Center Novi Sad (1)
Technical University of Munich, Department of Electrical and Computer Engineering (1)
University Nikola Tesla, Faculty for engineering management (1)
University Politehnica Bucharest, Faculty of Automatics and Computer Science (1)
University of Belgrade, School of Electrical Engineering (1)
University of Novi Sad, Faculty of Sciences, Department of Mathematics and Informatics (1)
University of Belgrade (1)
University of Defence, Belgrade (1)
Faculty of Sport and Physical Education, University of Belgrade (1)
Belit Ltd (1)
Big Data Analytics (1)
College of Applied Technical Sciences / Computer sciences (1)
DMMM, Politecnico di Bari (1)
FORTH-ICS (1)
Faculty for engineering management, University Union Nikola Tesla (1)
Faculty for traffic, communications and logistics (1)
Faculty of Economics, University of belgrade (1)
Faculty of Medicine, University of Niš (1)
Research Center for Energy and Sustainable Development, Macedonian Academy of Sciences and Arts (1)
Faculty of Transport and Traffic Engineering, University of Belgrade (1)
Government of the AP of Vojvodina/Office for Joint Affairs of Provincial Bodies (1)
IS4RI - Information Systems for Research and Innovation (1)
MEF Faculty – University of PA Novi Sad (1)
Master Italy srl (1)
Mathematical Institute of the Serbian Academy of Sciences and Arts (1)
Montpellier Laboratory of Informatics, Robotics and Microelectronics (1)
PNZ D.O.O. (1)
Pontifical Catholic University of Paraná – PUCPR / PPGAD (1)

ICIST 2018 Proceedings - Paper index

ICIST 2018 Proceedings Part I

1. Detection-Response Task: How intrusive is it?

Pages 1-5

Stojmenova Kristina, Sodnik Jaka

Abstract: The Detection-response task (DRT) is a method for assessing the attentional effects of cognitive load of drivers. Although many studies focusing on the evaluation and the sensitivity of the method have been performed, it is harder to find data on the impact of the method to the driver and his/her driving performance. In this paper, we present a study in which we explore the intrusiveness of the method of all of its versions: visual DRT, tactile DRT, and auditory DRT. We explore possible effects on cognitive distraction, driving performance and secondary task performance (for example operating an in-vehicle device). The results got in the study suggest that DRT does not impose significant additional cognitive load, however it affects driver speed regulations in terms of acceleration deviations, and increases the time need to complete secondary tasks.

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2. Simulation Environment for Testing Autonomous Vehicles

Pages 6-9

Komavec Mojca, Balažic Marko, Sodnik Jaka

Abstract: The focus of automotive and software industry in the recent years has been in the development of algorithms for autonomous vehicles, whose input depends on various sensor data. Such algorithms which are mostly based on machine learning techniques need a vast amount of data to be trained successfully. Since obtaining data in a real world can be expensive and time-consuming job, one can obtain and train algorithms also in a simulation environment. Vehicles in a simulation also perceive the environment through a set of sensors whose output should replicate the output of real-world sensors as much as possible. This paper describes an example of such professional driving simulation environment for testing self-driving vehicles, gives an overview of a simple autonomous driving algorithm, which is partly based on sensor input, and concludes with an evaluation of our algorithm in comparison with the human-driving data. The results show that autonomous algorithm performed much better than human drivers.

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3. Internet of toys: mission, vision and future applications

Pages 10-15

Risteska Stojkoska Biljana, Trivodaliev Kire, Kalajdziski Slobodan

Abstract: This paper provides a comprehensive definition of “Internet of Toys” as a new application domain of “Internet of Things” including both sociological and technological aspects. We survey available Internet of Toys architectures from the literature and propose new architecture/framework that will enable interconnection of smart toys into complex entertaining environments capable of exchanging data, learning from experience, and obtaining new insight on children’s cognitive development. Additionally, we determine the challenges inherent to the general Internet of Things, but also those that are specific for the Internet of Toys.

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4. Demonstrating Enterprise System Security Using an Asset-Centric Security Assurance Framework

Pages 16-20

Luburić Nikola, Sladić Goran, Milosavljević Branko, Kaplar Aleksandar

Abstract: Enterprise systems often require a high level of security. While securing such systems is a challenge in and of itself, proving that a system is sufficiently secure is an additional problem which is rarely discussed. This paper presents a security assurance framework that can be used to prove that an information system is reasonably secured. The framework is structured around data assets, their security goals, and their flow throughout a system. We present the domain model for our framework and describe how the asset inventory, data flow diagrams, and security assurance cases are used by it. Finally, we demonstrate how the framework produces a scalable body of evidence that can be used to demonstrate the exercise of due care and due diligence, mitigating some of the issues that arise from expert judgment-based approaches.

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5. Interoperability for the sustainability assessment framework in IoT like environments

Pages 21-27

Timčenko Valentina, Zogović Nikola, Đorđević Borislav

Abstract: Internet of Things (IoT) as a concept provides a possibility of interconnecting different devices and technologies through the Internet. Such diversity of devices and heterogeneity of the communication protocols, data formats and service demands for storage, energy, and availability has imposed a huge set of side effect issues that are becoming the serious stumbling stone in IoT-like system design and management. In this paper we have put interoperability in the center of our attention as one of the most persistent issues, making an effort to enhance the multi-objective cloud computing sustainability assessment framework by providing the necessary level of sustainable interoperability for IoT environments.

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6. Two-step process for secure registration of nodes in IoT systems

Pages 28-31

Stojkov Milan, Simić Miloš, Sladić Goran, Milosavljević Branko

Abstract: Edge computing is recognized as an architecture which is well suited for the integration with the Internet of Things. A new layer of devices, also called nodes, between cloud services and end-users, can provide new services with fast response and great quality. On the other hand, new layer devices introduce more architectural and security challenges which were not yet considered. In this paper, the main focus is directed towards security issues, especially those concerning safe (re)authentication of the nodes in the already established IoT system. We defined a two-step process for a secure registration of the nodes in IoT system that includes a solution for protection against the physical replacement of the nodes with corrupted ones. Our approach uses public key cryptography based on ECCDH algorithm and communication between nodes, gateways and authentication services in the cloud.

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7. Participatory Sensing in Evaluation of Smartphone Inertial Sensors for Mobile Applications in Healthcare and Sport

Pages 32-35

Kos Anton, Umek Anton, Tomažič Sašo

Abstract: Smartphone sensors are being increasingly used in various applications in healthcare and sport. The performance of sensors varies among different smartphone models. A publicly accessible resource containing real-life-situation describing smartphone sensor parameters could be of great help for developers of applications in healthcare and sport. Therefore we have designed and implemented a participatory sensing application for measuring, recording, and analyzing smartphone sensor parameters. The application database includes sensor parameters of a number of different smartphone models. The database is offering information on several statistical parameters of the measured smartphone sensors and insights into their performance. The database of smartphone sensor parameters may prove particularly useful for developers of applications in healthcare and sport where inertial sensors are used. Index TermsSmartphone inertial sensors, Participatory sensing, Applications in healthcare and sport.

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8. Edge computing system for large-scale distributed sensing systems

Pages 36-39

Simić Miloš, Stojkov Milan, Sladić Goran, Milosavljević Branko

Abstract: Cluster orchestration systems achieve high resource utilization, efficient task-packing, process-level isolation. They support high-availability applications with features that minimize fault and recovery time. These systems helped large internet companies like Google, Amazon, and Facebook to satisfy all their applications and big data workloads. With this ability, these systems can run a dozen of tasks at scale, to satisfy all operational needs. But current systems are not that easily applicable in domains with constant data flow with processing on the very edge of the network. We present a system for edge computing, with efficient resource utilization, orchestration, and taskpacking. With these properties, a system provides the ability to run user-defined tasks in clusters defined on the edge of the network for constant data acquisition, manipulation, and processing

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9. A comparison of vehicles user interface modalities in terms of User Experience

Pages 40-43

Čegovnik Tomaž, Tartalja Igor, Sodnik Jaka

Abstract: In this paper we report on a user study which focuses on user experience when users interact with In-Vehicle Infotainment System (IVIS) through three different input modalities. We compared two relatively new approaches such as touchpad-based input and free hand gesture input to the widely used input interface based on buttons on the steering wheel. In order to evaluate the user experience provided by three different input interfaces of IVIS the User Experience Questionnaire (UEQ) was used. The results of the study are showing clear differences between different input devices favoring the conventional buttons on the steering wheel.

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10. Improving Library Services using Business Intelligence

Pages 44-47

Tešendić Danijela, Boberić Krstićev Danijela

Abstract: Paper describes model of data warehouse and usage of OLAP tools in order to support decision making in library. Usage of Business Intelligence technologies is presented on case study of libraries which use library management system BISIS and have considerable need for making various statistical reports. Focal point of this paper is dedicated to modeling of data warehouse using data sources from system BISIS and taking into consideration user requirements regarding reports.

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11. An Overview of IoT Readiness Assessment Methods

Pages 48-53

Stankovski Stevan, Ostojić Gordana, Arsenijević Dejan, Baranovski Igor, Oros Dragana

Abstract: In the next decade significant influence of IoT technologies over all areas of human society is expected. Most research show that IoT implementation is in early phase in majority of companies, IoT application is partial, at starting point, through pilot projects (HCL Global Systems’ “Global IoT Report 2017” reports that 6 out of 10 surveyed are in early phases of exploration and defining IoT strategy). Potential benefits and necessity of application are not in question, but ways how to implement IoT efficiently and effectively are not enough explored and known yet. In defining IoT strategy it is necessary to assess current organization state from IoT perspective, IoT readiness assessment methods provide structured approach to do that. A number of typical IoT readiness assessment methods are presented in this paper.

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12. Evaluation of Road Design through Driving Simulation — a Technical Review

Pages 54-58

Jekovec Matevž, Kralj Gregor, Trontelj Klemen, Novak Klemen, Tomažič Sašo

Abstract: Road design is a complex task and despite a rich set of skills and road regulations, a number of design questions remain unanswered until after the road has been constructed. Our aim is to offer civil engineers an evaluation of a new road segment on a driving simulator early in the design phase. In this paper we determine the practical workflow for exporting the road design produced by civil engineers to a driving simulator. While industrial grade software focuses on a feasible, cost-effective road design from the construction point of view, a simulator requires, among others, an optimized 3D model for performance, compelling visual details and semantic road information for autonomous traffic. In the workflow we explicitly use open source or freely available, cross platform, and scriptable tools and formats. Finally, we perform a showcase where test subjects evaluated the new road segment using the state of the art 4 DOF hardware simulator, an eye tracker, and biometric sensors to determine the driver’s stress level and response time.

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13. Discovering Human-like Driving Strategies with Learning and Optimization Approaches

Pages 59-64

Dovgan Erik, Bratko Ivan, Sodnik Jaka

Abstract: Human driving strategies can be obtained in various ways. This paper presents two artificial intelligence approaches: a learning approach that builds a human driving model based on driving data, and an optimization approach that searches for driving strategies by taking into account existing human driving models. The results show that the optimization approach can optimize several objectives in addition to human likeness thus producing a set of driving strategies with various tradeoffs between the objectives, while the learning approach aims at exactly reproducing the human driving, which results in a single driving strategy.

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14. The Watermark Applications in Multimodal Biometric Identification

Pages 65-69

Veličković Zoran, Milivojević Zoran, Veličković Marko

Abstract: The need for personal identification in the modern world in all areas of social activity is growing. This paper presents the application of the watermark in multimodal biometric identification. In one biometric feature - a face photo is inserted in the form of a watermark, a second, encrypted biometric feature - a fingerprint. Unlike standard biometric identification algorithms that require access to a database with biometric features, the concept of multimodal biometric identification does not require access to the database. It has been shown that a high quality fingerprint can be extracted from the watermarked photo of person, which, together with the face image, is used in the process of multimodal identification. In the experimental part of the work, mean values of PSNRs of secured images of over 37dB were obtained, while the average value of PSNR watermarks was over 33dB, NC greater than 0.98 and SSIM about 0.96. Based on the obtained experimental results, it can be concluded that the proposed concept of multimodal biometric identification based on a watermark can be successfully applied in multimodal personal identification.

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15. Assessing uncertainty in the hydroclimatic modelling chain by using hydroinformatics platforms with varying complexity

Pages 70-73

Stojković Milan, Obradović Dragana, Milivojević Nikola

Abstract: Uncertainty in hydrological modeling has played a significant role in assessing the impacts of climate change on water resources. The considerable uncertainty in the predicted streamflows is more likely lies in climatic modelling depending on the chosen Global Climate Models (GCMs) and Regional Climate Models (RCMs), choice of the bias correction method, the assumed initial and boundary conditions, the chosen greenhouse gas emission scenarios and scenarios of future socio-economic development. Also, there are uncertainties related to the hydrological modeling scheme caused by input hydrological data, hydrological model structures and parameterization of hydrological model. In this research, the uncertainties the projected streamflows due to climate change are addressed by the direct variance method since this technique is capable for assessing different sources of uncertainties nested into the hydroclimatic modelling chain. In the case of climatic modelling four RCMs are used to derive inputs for hydrological models at river basin spatial scale under different greenhouse gasses emission scenarios. Namely, the RCP 4.5 and 8.5 pathways are used for this purpose. For hydrological modelling, the Precipitation-Runoff Modeling System (PRSM) and the 3DNet Catch hydrological model are applied. The research is carried out for the Lim River basin, while the simulations covered the 2011-2040 time frame with respect to the bassline time period 1961-1990.

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16. The Recommendations for Green IT Strategy Implementation in Public Sector

Pages 74-79

Bjeladinović Srđa, Asanović Marko, Gospić Nataša

Abstract: Adequate planning, design, introduction and use of information and communication technologies (ICT) can enable organizations to automate and speed up business processes, reduce the number of possible mistakes caused by human factors, and increase the availability of timely information. Although all of these can have a positive effect on the business, the emergence of negative effects while using modern technologies are not negligible (increased emissions of harmful gases, unplanned and uncontrolled use of non-renewable resources and energy sources, etc.). The mentioned problems caused by the use of ICT can be solved using different techniques, and one of the most popular is Green IT. By analyzing the available strategies for the implementation of Green IT, it has been established that there is room for expansion of the same, in order to more adequately meet the needs of the public sector in the territory of Serbia and Montenegro. In this paper, emphasis is placed on identifying the basic aspects of the strategy for the implementation of Green IT in the public sector, as well as providing a set of recommendations for each of these aspects. This paper will contribute to the popularization of Green IT in the public sector, and the recommendations given in it may serve as a starting point when the overall Green IT implementation strategy is created.

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17. Framework for connected supply chain based on Internet of Things and cloud services

Pages 80-83

Stefanović Nenad, Milošević Danijela

Abstract: With the power to enable greater visibility and control, the use of Internet of Things (IoT) technology in the supply chain offers new possibilities to improve processes and operations. However, due to supply chain complexity, implementing IoT solutions effectively can be very challenging project, and it requires forethought, strategy, platform and models. In this paper, we discuss opportunities for employing IoT systems in supply chain management (SCM) along with literature review and state of the art background research. We introduce the six-step framework for implementing more agile and intelligent IoT connected SCM systems. Finally, based on the proposed framework, we present and-to-end solution for connected factory which utilizes various IoT, data management and analytical cloud services in order to enhance visibility and responsiveness, increase efficiency, lower costs, and improve decision making.

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18. Formal Semantics in 3D Cadastre

Pages 84-89

Sladić Dubravka, Radulović Aleksandra, Govedarica Miro

Abstract: The paper presents LADM based Serbian cadastral domain model, as a base application schema for the ontology development. After that, rules for formalizing an application schema in OWL, defined in ISO 19150, have been followed to obtain standard based formal ontology for Serbian cadastral domain model.

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19. Robust equipment design for a real-time coaching feedback support in watersports

Pages 90-93

Umek Anton, Dopsaj Milivoj, Kos Anton

Abstract: In watersports, the use of on-site technical equipment for coaching support is not very common. Coaches most frequently use only a stop-watch. Wearable sensors attached to the athlete or installed into and onto sport equipment offer valuable supplemental information to coach during the practice. A technical system providing real-time feedback can make coaching more efficient. The paper presents results of our field tests in swimming, canoeing and kayaking. All listed watersport disciplines have many very similar parameters important to coaches, such as stroke frequency, stroke duration, stroke symmetry, and others. We focus on the definition of demands for a measurement system that would best fit watersport professionals. Our final goal is the development of a real-time feedback system consisting of waterproof wireless devices with multiple sensors supported by user friendly application. Sport professionals should be able to operate the system without constant presence of trained and experienced technical personnel (engineers). Index Termswearable sensors, smart sport equipment, feedback system, watersports.

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20. Emergence of new technologies in the designing and fabrication of patient-specific removable partial dentures (RPDs): A case study

Pages 94-99

Šokac Mario, Budak Igor, Santoši Željko, Kadvany Kristian, Puškar Tatjana, Vukelić Đorđe

Abstract: Application of 3D technologies brings new innovative tools that support design process of custom implants and dentures, more specifically related to the field of dentistry. These new tools, which allow easier and faster designing process of patient-specific removable partial dentures (RPDs), enables them to be widely accepted as a more preferable choice to use. In this paper, implementation of 3D technologies will be presented through a case study for designing and fabrication of patient-specific RPDs. The entire process will be presented and elaborated, starting from the designing stage of a 3D model of a patient-specific RPD using advanced tools, all the way to a verification stage using RP (Rapid Prototyping) technologies. This approach enabled a more convenient design and faster delivery time of a manufactured RPD, but also by using less expensive equipment to achieve this.

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21. An Application of Blockchain Distributed Systems for Supply Chains in the Pharmaceutical Industry

Pages 100-104

Mirković Aleksa, Nenić Marina, Gajić Dušan, Terzić Branko, Luković Ivan

Abstract: This paper describes an application, built on top of the Hyperledger Fabric blockchain framework, for efficient and reliable support of the supply chain in the pharmaceutical industry. The presented application showcases how blockchain’s immutable ledger, peer-to-peer (P2P) network, consensus algorithms, and smart contracts all combine and synergize to create a secure, reliable, auditable, and cheaper way of performing business. The application is developed on the Proof of Concept (PoC) level, using the Hyperledger Composer framework. It enables communication with a private Hyperledger Fabric network via Create, Read, Update, and Delete (CRUD) operations. The developed PoC shows that the use of the Hyperledger Composer framework allows simple creation of business networks which include participants, assets, transactions, and relationships between these entities. Our research shows that Hyperledger Composer significantly reduces the amount of time needed to develop a Hyperledger Fabric blockchain-based software solution. However, for more customized approaches, the Hyperledger Fabric platform needs to be used directly on the infrastructure level. When using Fabric, smart contracts are written on the lower level of abstraction, using the Go programming language, instead of the high-level JavaScript code used in Composer. Plans for future work include implementing the solution directly on the Hyperledger Fabric platform, as well as extending the available functionalities of the application to cover an even wider set of use cases.

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22. Serbian Legislation as a Network

Pages 105-108

Vidaković Dragan, Gostojić Stevan, Kovačević Aleksandar

Abstract: The recently introduced concept of a legislation network is a promising approach to addressing the challenging issues of tackling with and quantifying the complexity of the legislation. In this paper, we described the process of crawling and scraping Serbian legislation, applying natural language processing methods to detect references in legislation and applying network science methods (e.g. node centrality and community detections) to quantify network properties. The quantified network properties were attributed with corresponding legal interpretations. Keywordslegislation network; legislation; network science; natural language processing; computational legal studies;

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23. A Comparison of Daily Human Activity Classification Techniques for Wearable Devices

Pages 109-111

Stančin Sara, Tomažič Sašo

Abstract: We present and compare some of the most common techniques used for classifying daily human activates that are applied to signals from wearable kinematic sensors. We investigate and compare different research results reported on this topic that focus on the most common human activities, i.e., walking, running, sitting, lying and climbing up stairs. Besides comparing the considered research results in the obvious terms of classification accuracy, we also compare them with respect to the final number of features considered and the length of the windows used for feature extraction. Both of the latter characteristics have an impact on computational efficiency and delay and so affect the suitability for real-time operation of the presented techniques.

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24. Extensible Python Library for Managing Probabilistic Knowledge Structures

Pages 112-115

Vidaković Dragan, Segedinac Milan, Konjović Zora, Savić Goran

Abstract: In this paper we have proposed an extensible Python library aimed at utilization and managing probabilistic knowledge structures. A key part of the library is implemented focusing on the probabilistic knowledge structures application to educational domain. The library is structured as three Python modules aimed respectively at: (1) data representation and conversion, (2) basic modeling of local independency, and (3) gradation of a probabilistic knowledge structure. The library was verified against the requirements specification and the obtained models are validated by the chi-square test. The data set used for verification and validation is a subset of PISA testing data containing responses of 340 German students on 5 questions from mathematical literacy. Keywordsprobabilistic knowledge structures; knowledge spaces; parameter estimation;

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25. Mapping scheme from RIS to CERIF

Pages 116-121

Nikolić Siniša, Penca Valentin, Ivanović Dragan

Abstract: This paper describes basics of the Research Information System (RIS) format and Current Research Information Systems (CRIS) and their data models. The result of this research is the mapping scheme of data from RIS format to the Common European Research Information Format (CERIF) standard.

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26. Software System for Automated Assessment of the Breast Cancer Risk from Mammograms

Pages 122-127

Radosavljević Ivan, Mitrović Aleksandra, Konjović Zora, Obradović Đorđe, Malbaša Vuk

Abstract: This paper will present a new software system that enables automated assessment of the breast cancer risk from the mammographic images. The aim of the system is to provide for a quick and efficient detection of all potentially malignant abnormalities from the mammograms and determination of preliminary malignancy risk for each. Such preliminary risk assessment could, further, be used either to terminate the procedure (small risk), or as a priority by which the patient will be scheduled for following procedural steps. The system extracts the data necessary for risk assessment from the mammogram. For that purpose methods for digital image processing and analysis are used. Interpretation of the extracted data and the final risk assessment require a method capable to deal with imprecise and incomplete knowledge because no exact mathematical model for estimation of potentially malignant abnormalities risk exists. Therefore, risk assessment is implemented by means of a fuzzy controller capable to imitate the work of a human expert / radiologist. The paper presents architecture of the system for automated assessment of the breast cancer risk from mammograms, some specific details of its implementation, and discussion of the system’s accuracy.

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27. Software for an eye tracking device enabling analysis of a student’s interaction with program code

Pages 128-132

Mitrović Aleksandra, Vidović Mladen, Radosavljević Ivan, Mladenović Miloš, Savić Goran, Segedinac Milan, Konjović Zora

Abstract: Evaluating a student’s programming knowledge is not always precise or objective. Students may give a correct answer to a question without understanding the underlying code. One approach to solving this problem is to track the student’s gaze during the examination by using an eye tracking device. Data acquired from the eye tracker can show if students are actually looking at the code they are explaining by providing the x and y coordinates of their gaze. These coordinates can then be mapped to the code displayed on the screen, allowing the comparison between the code the students were looking at and the code which they were expected to look at, thereby confirming or refuting their knowledge. This paper presents a solution to the aforementioned problem. The solution includes establishing communication with the Gazepoint eye tracking device, using a separately created Java library. Coordinates received from the device are transformed using the iTrace Eclipse plugin, modified to support tracking gazes across multiple files within a project in a single Eclipse session. The transformed data is then subjected to additional processing and filtering, during which redundant data is eliminated, such as all gazes that were flagged as non-code gazes, as well as attributes which were deemed irrelevant to the current project, such as the raw coordinates of the gaze, or pupil diameters. The median filter was also applied to the data, to reduce noise caused partially by the hardware itself, and partially by chaotic eye movements. The final output data is a sequence of gazes, each consisting of the line and column of the code that was watched, the name of the file containing the code, as well as the duration of the gaze. The output is then written to a JSON file that can be used later in the process of evaluating students’ knowledge.

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28. Platform for Discovery of Microservice Instances

Pages 133-137

Yankov Yordan, Dimov Aleksandar, Baylov Krasimir

Abstract: Service Oriented Architecture (SOA) is one of the most common styles used to design and develop contemporary software intensive systems. Microservices represent the latest trend to build SOA applications, offering interoperability, scalability, component sharing, improved fault isolation and etc. Although an emerging and still immature concept, it gains big impact in software development industry, as many companies try to migrate their projects to such architecture. Microservices lead to construction of highly flexible scalable and dynamic software systems. Such dynamism, however may provoke dynamic reallocation of running microservice instances which results into a change of their addresses. This raises some problems with discovery of microservices. This paper presents a platform for discovery of microservices, which tackles this problem.

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29. Derivative IaaS Layer Utilizing Low Priority Server

Pages 138-142

Milješić Ljiljana, Zarić Miroslav

Abstract: Cloud providers offers plenty of choice to their potential customers, spanning all standard types of services IaaS, PaaS, SaaS, FaaS, BPaaS... Sometimes it is quite hard to properly determine someone’s exact needs and evaluate the total cost of cloud-based solution, and even harder to compare if that cost, in a long run, is comparable to the cost of the on-premise solution. If we concentrate at the virtual machine market, all major cloud providers (Amazon WS, MS Azure, Google, IBM…) offer on demand instances of different computational characteristics, dedicated instances for demanding customers, but entry level configurations that comes with some strong limitations, are also available. Their price may be very attractive to small and medium enterprises, one that are usually struggling with internal IT support, and the one that may be best served by managed service offered by the cloud providers. Those entry level instances usually represent virtual machines created and run on spare capacity of cloud computing hardware that currently is not used for on demand services. Since the lifespan of these instances is pretty unpredictable, they are usually best utilized for applications that do the batch processing and can easily withstand loss of computing capacity. This paper discuss the possibility of using these entry level instances even for a bit more demanding applications, concentrating on Amazon Web Services spot instances.

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30. The Extended Referential Integrity Constraint Type – Specification and Implementation in Relational and XML Database Management Systems

Pages 143-148

Vidaković Jovana, Ristić Sonja, Kordić Slavica, Luković Ivan

Abstract: The referential integrity constraint (RIC) type is one of the constraint types of relational data model. It is defined between at most two, not necessarily different, relation schemes. In the course of the third normal form database design, there may be necessary to define the referential integrity constraint between more than two relation schemes. Therefore, an extended referential integrity constraint (ERIC) type is defined. A constraint of this type spans more than two relation schemes. ERIC is defined in the relational data model and its implementation in relational database management systems can be done procedurally, by means of database triggers, which is presented in this paper. Unlike relational data model, XML data model does not recognize ERIC type. In this paper we specify the extended referential integrity constraint type in XML data model and propose techniques for the implementation of ERICs in XML database management systems.

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31. IrrigDSS – Decision Support System for Irrigation Scheduling

Pages 149-154

Kordić Slavica, Dimitrieski Vladimir, Luković Ivan, Todorović Nikola, Ivković Vladimir

Abstract: In this paper, we present IrrigDSS, a decision support system for site-specific data-driven irrigation scheduling. The solution enables water consumption optimization in a way that maximizes yields and reduces the overall cost of the crop farming. IrrigDSS uses several data sources for building data warehouse database and decision models. Decision models include descriptive and predictive models developed to help farmers in the decision-making process. An interactive graphical user interface provides an insight to the present state of the crops and offers access to the recommendation system for determining the adequate irrigation schedule.

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32. Deep Belief Networks for Electricity Price Forecasting

Pages 155-158

Dedinec Aleksandra, Dedinec Aleksandar

Abstract: In this paper, one of the aspects of the smart grids is analyzed. This aspect includes the utilization of the large amount of available digital information for creating smart models for planning and forecasting. The latest and new achievements in the field of machine learning are used for that purpose. Specifically, models based on deep belief networks are developed within this paper and it is examined whether these models may be applied for electricity price forecasting. For that purpose, the hourly data of the prices of the power exchanges in the region of Southeast Europe are used. The obtained results present the advantages of the developed models based on deep belief networks, compared to the traditional neural networks, when applied to electricity price forecasting. To this end, the mean average percent error of the deep belief network model is less than the minimum error of the traditional neural network model in each of the analyzed datasets.

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33. Smartwatch-based wellbeing monitoring system for the elderly

Pages 159-163

Kosanović Miloš, Stošović Slavimir, Stojanović Dragan

Abstract: In this paper a health monitoring system based on the off the shelf smartwatch and mobile phone is described. The system enables remote monitoring of an elderly person or a patient by measuring the sensor data, available on the smartwatch. Data is sent to the mobile phone, processed, and then sent further to the server application. The caregiver is able to see the measured data like a heart rate or current activity at any time, to send a notification to the patient, or to check the statistics or the history of measured values. In this paper, we describe the implementation and functionalities of such a system and discuss the advantages and shortcomings.

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34. Cyber - Physical Systems based Process Integration for Future Enterprise Systems

Pages 164-168

Repta Dragos, Sacala Ioan Stefan, Moisescu Mihnea, Dumitrache Ioan

Abstract: The integration of Internet of Things and Cyber Physical Systems principles and technologies in Enterprise Systems creates a new complex system category, with increased capability to process and manage information and knowledge. Modern Enterprise Systems offer innovative services that are developed in relation to core enterprise principles. This paper is focused on the investigation of using recently developed techniques in the area of process mining and work-flow identification, that contribute to the evolution of Sensing Systems towards Sensing Enterprise Systems. The processing steps related to document flow discovery in a mixed human – device - cyber enterprise environment are analyzed and an automated process mining solution is proposed and a case study is discussed.

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35. Machine Learning Leukemia clinical outcome prediction

Pages 169-172

Ćojbašić Žarko, Ćojbašić Irena, Marković Nemanja, Trajanović Miroslav

Abstract: In this study novel machine learning based neural and neuro-fuzzy prognostic models for leukemia clinical outcome prediction have been developed, based on clinical and morphometric diagnostic data. Motivation was to enable better prediction of complete cytogenetic response (CCgR) for patients with chronic myeloid leukemia, compared to traditional and well-established scoring systems. Computational intelligence and machine learning have been applied to a wide range of problems to assist in decision-making, especially artificial neural networks, fuzzy systems and powerful hybrid neuro-fuzzy approaches have already proven their strong potentials in medicine. Despite that, applications in hematology are still scarce. This prospective study included a consecutive series of patients with chronic myeloid leukemia (CML) who were started on imatinib therapy. Analysis was performed with CCgR at different time intervals as the outcome variables. Machine learning based computationally intelligent neural and neuro-fuzzy models that were developed included EUTOS score on diagnosis and one of the angiogenesis morphometric parameters. The major finding of this study is that machine learning models using the morphometric parameters, available at diagnosis of chronic phase of the CML, may improve prediction of CCgR for patients on imatinib drug therapy, in comparison particularly to the EUTOS score being the standard prognostic scoring system and regression models using the same inputs.

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36. A Machine Learning Based Method for Pedestrian and Vehicle Collision Detection

Pages 173-176

Meira Andrade Rodrigo, Rudek Marcelo, Canciglieri Jr. Osiris

Abstract: The automatic processes operated by machine learning algorithms that use information extracted from the images require input of data that can be used as parameters for object classification. The preprocessing step for image segmentation is often a non-trivial task, especially for outdoor environments, where acquisition conditions depend on environmental factors whose characteristics cannot be controlled. The paper addresses all necessary steps to segmentation and classification of vehicles and pedestrians to a traffic control system in order to capture vehicles’ infractions during pedestrian crossing the streets. A set of images from potential collision situation were detected from real traffic conditions. The text presents the performance evaluation of machine learning based algorithm combined with feature extraction methods applied in the identification of collision situations.

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37. User-based collaborative filtering approach for content recommendation in OpenCourseWare platforms

Pages 177-181

Tomašević Nikola, Paunović Dejan, Vraneš Sanja

Abstract:

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38. An Approach for Flood Prediction Visualization based on Atmospheric Transmission Measurements and Spatial Interpolation Methods

Pages 182-186

Rančić Dejan, Mihajlović Vladan, Bogdanović Miloš, Davidović Nikola, Siart Uwe, Pronić Rančić Olivera

Abstract: This paper presents a proposal for calculating and visualizing flood prediction on the basis of rainfall prediction within given area in surface. Rainfall prediction and visualization is performed in multiple subsequent steps. As a basic, this approach uses quantified ground-level precipitation from the measured attenuation of microwave signals of cellular networks. Quantified precipitation along signal lines is used as an input into GIS module which performs spatial interpolation of precipitation for the area intersected by microwave signals. Interpolated values are used to calculate the estimated total amount of rainfall. Further, in combination with DEM model for the selected area, estimated rainfall is used to perform a flood prediction and visualization within the same GIS module.

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39. Smart Sustainable Manufacturing: a new Laboratory-Factory

Pages 187-191

Dassisti Michele, Semeraro Concetta

Abstract: Manufacturing enterprises are presently faced with an array of industry 4.0 (I4.0) challenges. “Digital requirements” need to be really assessed by an accurate analysis and deep understanding of the operational and technological criticalities in the manufacturing operations. This may thus allow to effectively design and implement a digital twin that supports the transformation. The goal of the article is to present and analyze the criteria adopted in a design for the transformation of a real setting of an Italian company into a I4.0 testing learning-laboratory. The idea behind is that this laboratory-factory may play a key role in developing new solutions for the automation and the implementation of the I4.0 paradigm and it is a viable solution for the learning factory.

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40. Deep Learning and IoT Based Load/Demand Forecasting for District Heating

Pages 192-195

Trajanović Miroslav, Ćojbašić Žarko

Abstract: In large cities, district heating system is a network of pipelines where heating is delivered to a number of customers from a centralized heating station, central plant. Ideal operational strategy is to deliver enough heat in order to satisfy heating demands of each customer with a minimum cost. Nevertheless, nowadays many district heating systems in Serbia are operated largely based on operational experience, without any available tools for predicting future states or demands. Due to the interactive, adaptive, and interconnected nature of the district heating systems, their components and outside environment, they must be capable of negotiating constantly changing scenarios. Being among large energy consumers, district heating systems, could be optimized with help of deep learning methodologies and extend capabilities of artificial neural networks (ANNs), such as convolutional neural networks (CNN) and long short-term memory (LSTM). In this paper control system of a district heating plant is empowered with a model that predicts the future heat demand – heat load forecast. Based on this model, controller generates values that meet the predicted heat demand without violating the system constraints. In addition to that, IoT devices that are part of the district heating system provide quantitative measurements of the processes they are involved in, which in turn generate data streams that have not existed before and provide for improvements of modelling and control of the system.

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41. Machine Learning based Network Anomaly Detection for IoT environments

Pages 196-201

Timčenko Valentina, Gajin Slavko

Abstract: This paper focuses on the problem of providing security measures, anomaly detection, and prevention to the emerging IoT environment. We have considered several different categories of machine learning classification algorithms with a goal to estimate the proper choice for network anomaly detection in IoT like environments. The special focus is on SVM and the set of bagging and boosting algorithms, the analysis of their performance and further comparison taking for the reference the modern, IoT like, UNSW-NB15 dataset.

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42. Simulation of the Interlocking Capacity of the Modified Hip Implant Surface

Pages 202-205

Vulović Aleksandra, Warchomicka Fernando, Ramskogler Claudia, Sommitsch Christof, Filipović Nenad

Abstract: During hip replacement procedure femoral head is removed and instead of it implant is inserted into the hollow femur. When an implant is inserted into the fractured bone the healing process starts to happen, which means that the newly formed bone interlocks with the inserted implant. Interlocking capacity is commonly analyzed using in vivo experiments, and only several papers have information on numerical approach. The goal of this study was to use the numerical approach to analyze the interlocking capacity of the modified hip implant surface. Numerical approach included implementation of the finite element method (FEM) for simulation of the interlocking capacity of modified surface topographies in the titanium alloys (Ti-6Al-4V) implants. Analyzed topographies were produced by the electron beam (EB) technique on the surface of the titanium alloy. The structures were analyzed by infinite focus microscopy and exported as a 3D profile for the application of the finite element method. The biggest advantage of this approach is that it can provide information about different types of topographies under a wide range of loading conditions before needing to insert an implant into an animal.

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43. Automatic Sleep Apnea/Hypopnea Detection based on Nasal Airflow Signal

Pages 206-211

Šušteršič Tijana, Vulović Aleksandra, Cekerevac Ivan, Susa Romana, Baumann Sebastien, Zisaki Aikaterini, Braojos Rubén, Rincón Francisco, Murali Srinivasan, Filipović Nenad

Abstract: Sleep apnea is a common sleep-related disorder caused by the obstruction of the respiratory tract and the absence of respiratory flow. 18 million Americans are estimated to suffer from sleep apnea, out of which 80% are thought to go undiagnosed. Nowadays, apnea detection is done using a Polysomnography (PSG) test during sleeping hours, which requires that the patient spends a night in a specialized center wearing several sensors to monitor his/her state. After that, medical trained staff checks the recordings/ markings and manually corrects the scoring. This process is time-consuming, which sets the motivation for this study to provide and validate an automatic apnea detection algorithm using the raw PSG recordings of 50 patients. Apnea is detected primarily employing the nasal flow signal, combined with oxygen saturation (SpO2) for hypopnea classification. The proposed approach achieves 77.124% accuracy (SD was 7.7) with around 55.3% sensitivity and around 82.5% specificity. Such an automatic algorithm will help drastically reduce the necessary time to analyze patients’ condition.

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44. Aortoiliac Aneurysm: Examination of Biomechanical Characteristics for an Individual Patient

Pages 212-215

Tomašević Smiljana, Končar Igor, Davidović Lazar, Filipović Nenad

Abstract: The aim of this work was to computationally examine the biomechanical characteristics of the patient-specific AortoIliac Aneurysm (AIA) employing the fluid-solid interaction (FSI) and finite element method (FEM). Beside clinical assessment, computational modeling and simulations have great importance for improving aneurysmal examination and patient monitoring. In that order, the patient-specific 3D model of AIA was created, based on the computed tomography (CT) data. The blood flow simulation and interaction with the aortic wall, considering existence of the intraluminal thrombus (ILT), gave a more specific and more complete analysis of aneurysmal biomechanical characteristics. Assuming the blood as incompressible, viscous and laminar fluid, with an average properties and parabolic flow, the computational simulation of cardiac cycle was performed. The Von Mises stress, as the main parameter for evaluation of aortic wall degradation and rupture risk, was analyzed at the peak systolic moment. Presence of high stress at the aortic bifurcation and aneurysmal neck indicated the need for operative treatment. Furthermore, the obtained blood flow characteristics showed presence of stagnant blood flow at the maximal aneurysmal diameter, which affects the ILT and aneurysmal growth. In order to include the computational simulations in a daily clinical practice, which may lead to better prevention of aneurysmal rupture and evaluation of operative treatment need, a larger number of patients should be investigated in further studies.

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45. RoseLib: A Library for Simplifying .NET Compiler Platform Usage

Pages 216-221

Todorović Nenad, Lukić Aleksandar, Zoranović Bojana, Vaderna Renata, Vuković Željko, Stoja Sebastijan

Abstract: Integrating hand-written with generated code can sometimes be challenging part of implementing the MDSE approach, especially if the clean separation is not possible. To overcome this problem, we based our solution on Microsoft’s Roslyn project. During our research, we found that Roslyn’s Syntax Tree API is difficult to use due inherent properties of its implementation. In this paper, we present our RoseLib library that abstracts large part of this implementation, which liberates developers from remembering unnecessary details and makes development process much more efficient.

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46. Temporal Clustering and Anomaly Detection in Elderly-friendly Smart Cities

Pages 222-227

Urošević Vladimir, Kovačević Ana, Kaddachi Firas, Vukičević Milan

Abstract: In this paper, we propose a methodology for behavior variation and anomaly detection from acquired sensory data, based on temporal clustering models. Data are collected from smart cities that aim to become fully “elderly-friendly”, with the development and deployment of ubiquitous systems for assessment and prediction of early risks of elderly Mild Cognitive Impairments (MCI) and frailty. Our results show that Hidden Markov Models (HMMs) allow efficient (1) recognition of significant behavioral variation patterns and (2) early identification of pattern changes.

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47. Improvement of the geometrical accuracy of the human mandible body parametric model

Pages 228-231

Mitić Jelena, Vitković Nikola, Manić Miodrag, Trajanović Miroslav

Abstract: The mandible is one of the frequently fractured bones in skeletal system of man. Reconstruction of the damaged mandible bone requires detailed and precise preoperative planning, which enable maxillofacial surgeons to improve execution of surgical interventions. For that purpose, 3D geometrical model of human mandible of specific patient is necessary in preoperative planning. In previous research, 3D parametric model of human mandible body was developed using Methods of Anatomical Features (MAF). The 3D parametric model is defined as point cloud, where coordinates of points are described by parametric functions, whose components are morphometric parameters (dimensions which are read on medical images). Ten central and bilateral morphometric parameters were used to create the parametric model of human mandible. The main benefit of this model is ability to adapt model to the specific patient, by applying patient specific values of morphometric parameters. The main focus of this study was to reduce number of parameters, while at the same time preserve geometrical accuracy of the personalized model. With this aim, statistical analysis (multiple regression) was applied in order to create “best fit” model with reduced number of morphometric parameters. Geometrical accuracy of the obtained parametric model was tested by the application of the deviations analysis in CATIA software. Deviations analysis was performed between input and resulting model. The results of analysis satisfied necessary accuracy of the models.

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48. Evaluation of Neural Networks Based Systems for DNA Motif Discovery

Pages 232-236

Mišić Milena, Stanimirović Aleksandar, Stoimenov Leonid

Abstract: The main goal of genome analysis and DNA motif finding is to explain cell mechanisms and their influence on genetic diseases. The technological advances in the area result in large amount of data that needs to be processed in order to solve these challenges. That is why machine learning is becoming popular for genome analysis and motif discovery in particular. Some example systems that implement machine learning techniques are DeepBind, DeeperBind and DeepMotif. This work’s primary objective is to assess the performance of these systems, examine their usability and behavior on new datasets and provide insights as to what causes the errors systems make. Previous evaluations are available, but do not incorporate neural network systems which are known to achieve the state-of-the-art in other areas. This research aims to address this issue and uses more common systems (e.g. Gibbs Sampler or implementations of the Expectation Maximization algorithm) to establish a baseline.

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49. IoT based energy efficiency platform architecture design considerations

Pages 237-241

Batić Marko, Tomašević Nikola, Vraneš Sanja

Abstract: The paper discusses possible system architectures and corresponding deployment models for an IoT-based platform for increasing energy efficiency of end-users and facilitating change in their behaviour in this regard. The main objective is to provide for a flexible and modular architecture able to integrate IoT based monitoring and actuating devices with advance energy services. A brief overview of the most prominent middleware-based architectures capable of providing integration of heterogeneous hardware and software components is followed by the proposed system architecture and deployment model. Finally, a proposal for implementation of architecture building blocks is given through state-of-the art open source solutions.

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50. Adoption of a FIWARE based platform in intelligent transportation systems

Pages 242-246

Nazarenko Artem, Sarraipa Joao, Figueiras Paulo, Costa Ruben, Jardim-Goncalves Ricardo

Abstract: General understanding of possible benefits achieved through implementation of industrial Internet of Things (IoT) solutions, set a clear need to develop new approaches to manage and orchestrate distributed and heterogeneous data and components within an IoT environment. Vf-OS initiative provides FIWARE enabled solutions with focus on the manufacturing domain. The challenge to be addressed here, is on how to instantiate the vf-OS concept to other relevant domain sectors, as the mobility and transportation, in order to provide a full-fledged FIWARE functionality based on Generic Enablers, by reusing and proposing new ones.

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51. IoT for active and secure aging with Alzheimer

Pages 247-250

Luís-Ferreira Fernando, Sarraipa Joao, McManus Gary, Zdravković Milan

Abstract: The expectancy of live has been extended in modern societies becoming a symbol of civilizational progress, with technology supporting medical research and healthcare improvements. In technological domain, diagnosis and monitoring benefit from data collection from the most diverse sources. Along with specific medical equipment, data sources are available in what is becoming a sensor rich environment. The concept of Internet of Things refers to the sensing and communication devices that are becoming pervasive in modern societies. The present work proposes the usage of multiple data sources to support reasoning and decision for people with aging associated health conditions. Beyond ensuring safety and risk avoidance it is aimed to support active aging while stimulating healthy behaviors and social inclusion. The proposed architecture focus on monitoring and reasoning over available data sources to ensure risk assessment and adequate response to health risks internal or in the environment. Beyond risk it is aimed to promote active living, good habits and socialization thus ensuring active aging in daily routines, leisure and work. The proposed framework deploys a coach, or a companion that is always present and manifest only when needed. The decision process reasons based on clinical directives and situation awareness to determine risky situations for a citizen with cognitive vulnerabilities and react according to such reasoning promoting safety for elder citizens and comfort for carers and family thus supporting active and healthy aging for the target population.

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52. WPFGen: A Code Generator for Rapid Development of Windows Presentation Foundation Applications

Pages 251-255

Bošnjak Aleksandar, Kaplar Aleksandar, Kaplar Sebastijan, Filipović Milorad, Ivković Željko, Vuković Željko, Stoja Sebastijan

Abstract: This paper presents a language and a code generator called WPFGen for C#.NET WPF (Windows Presentation Foundation) applications. WPFGen enables iterative and incremental development providing an environment that supports rapid cycles of specification, code generation, and verification of invoked generated application. Manual changes in code are preserved.

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ICIST 2018 Proceedings Part II

53. Achieving enterprise interoperability through integration Conway’s law and Functional Silos in mutual support mode: Case study of traffic management systems

Pages 256-259

Ivanović Miloš

Abstract: In this paper will be presented the solution of achieving interoperability between enterprises that together design the software, or one enterprise wants to integrate their software module with software of other enterprise. The idea for this research has appeared after analyzing Conway’s law and Functional Silos. Organizations should put more efforts on communication between people/teams in organizational structure. It is not enough for organization to share knowledge only on vertical axis, the communication on horizontal axis gives more opportunity for achieving common goals of enterprise. While analyzing the Conway’s law and Functional Silos, have think about the solution for achieving interoperability between heterogeneous traffic management software’s which are product of two different companies. The problem of interoperability of this research is when two enterprises want to integrate them software’s. But on one side we have enterprise which have “old fashion” traffic management software based on old software architecture, and on the other side is enterprise which have the traffic management software with new generation of software architecture. The goal is that traffic management system from enterprise 2 communicate and processed data from traffic controllers (devices) from the system of enterprise 1.

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54. Application-inspired learning of mathematics for students of electrical engineering with the aid of Geogebra as an information technology tool

Pages 260-264

Jovović Ivana, Ćirović Nataša, Koledin Tamara

Abstract: In this paper we present the novel approach to the application-inspired learning, by introducing GeoGebra as an information technology tool for mathematical education of students of electrical engineering and computer science. GeoGebra applets developed in the concept of application-inspired learning do not require prior knowledge of the information technology students’ and provide lecturers with the ability to customize the presentation according to prepared guidance of students in the learning process.

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55. A conceptual framework for verification of complex system simulations

Pages 265-267

Dimitrijević Sandrina

Abstract: While process of verification of traditional simulation models is well established, fresh approaches are needed for new types of simulation. That is especially the case for simulation of complex systems which have unique properties (emergent behavior, high sensitivity to changes) that can mask faults in code and wrong design. In this paper we deal with such challenge by proposing a conceptual model for verification of complex system simulation. Namely, we suggest that each verification attempt needs to include usage of individual elements checking along with top-down approach to system testing.

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56. Use of ITIL

Pages 268-273

Paroški Milan, Mihajlović Milan

Abstract: This paper compares the ITIL with other most familiar methodologies for managing IT services. I carried out a SWOT analysis of the application of ITIL and described additional ITIL research in the sectoral areas. I explained why organizations use ITIL and performed an analysis of using ITIL in teaching in Serbia. I further explained I described the most popular examples of developing own ITIL as well as the best practice in applying ITIL in state-owned organizations. My motivation for researching the application of ITIL lies in looking at the broader aspects of using ITIL as an ITIL lecturer at FTN. The goal of all these analyzes was not to get into the ITIL's guidelines and content, but to investigate and demonstrate in one place all the applications, benefits, possible upgrades of ITIL, and the use of ITIL in theory and practice.

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57. ICT in focus of Smart specialization strategy of Serbia?

Pages 274-277

Kranjac Mirjana, Tomić Srđan, Salom Jakob, Bulajić Stanko

Abstract: Serbia is in the process of creating its national smart specialization strategy (S3), whereas the region of Vojvodina has its strategy already defined. Determined smart specialization sectors are core sectors for innovation and research activities in a region. The aim of authors of this paper is to introduce stakeholders with the existing bottom-up process which is in progress and which should identify sectors of smart specialization, to stress its importance to the future of ICT sector, at national and regional level (Vojvodina) and to provoke information-communication technology (ICT) experts to be involved in process of creation of S3. Key words: smart specialization, innovation, research, ICT

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58. Model-based, client-side integration of heterogeneous data from REST services

Pages 278-281

Zdravković Milan, Vitković Nikola, Trajanović Miroslav, Trifunović Milan, Korunović Nikola

Abstract: With the increasing implementation of Internet-of-Things paradigm, the increase of data volume and diversity threatens to diminish the potentially valuable effects of their reuse in multiple circumstances. While increasing number of datasets, coming from devices or elsewhere is being exposed by using APIs, very few of them is based on the standard dictionaries, data structures and models. For that reason, it becomes very difficult to integrate data of similar or identical semantics, coming from different sources. In this paper, we propose the meta-model for client-side application which aggregates semantically identical or similar data from multiple REST APIs in a single Angular-based widget. Main concepts of the proposed meta-model are data objects, services with defined object and property mappings, use cases and user interface components. Model is implemented in the data integration platform and it is validated in the case of searching data about research projects from two sources. The search widget is implemented on the EURAXESS portals.

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59. Fingerprint biometrics in service public health system at birthplaces

Pages 282-284

Lalović Komlen

Abstract: This article presents totally new system of biometric identification and baby identity guarantee, based on fingerprint minutiae that are formed prenatal at humans. Exclusive, we are presenting qualitative research as proof that baby has fingerprint which can be acquired, stored, encrypted and, above all, it can guarantee its identity. We enrolled testing baby minutiae on every possible type of fingerprint scanners and determine which one is optimal for this purpose. With that we formed hard basic to develop our research further more. This new system can prevent any possible steal or ID replacement in birthplaces, worldwide! In countries such as SAD, Japan, Switzerland that have high level public health it can provide new, higher level, of public health level and give their citizens better health service.

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60. A mapping tool for semantic interoperability of research information systems

Pages 285-289

Ivanović Dragan, Theodoridou Maria, Laurent Remy

Abstract: The paper presents mapping of CKAN metadata model to CERIF RDF using the X3ML Toolkit. The mapping enables interoperability of CKAN data platforms and virtual research environments based on CERIF format. X3ML Toolkit enables describing schema mappings in such a way that it can be collaboratively created and discussed by metadata format experts.

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61. Adaptation of HTTP request-response messaging to arbitrary messaging pattern in RESTful service oriented architectures

Pages 290-295

Nikolić Lazar, Letić Marko, Zoranović Bojana, Dejanović Igor

Abstract: Service oriented architectures have traditionally been using HTTP messages for client-server communication, as well as inter-service communication. However, request-response pattern of HTTP protocol can be inefficient for messaging patterns such as event-driven messaging. The problem arises for architectures that need to introduce new messaging patterns, but already use HTTP. In this paper we present architecture of an adapter that converts HTTP messages into messages of another protocol. Such protocol can use a messaging pattern other than request-response. We cover synchronous request-response, asynchronous request-response and event-driven messaging patterns. The adapter must also allow transition to a new protocol or messaging pattern without affecting service interface definitions and their application logic. We also present an implementation of such architecture and discuss the results.

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62. Data driven design for reliability of IoT applications

Pages 296-298

Nejković Valentina, Milošević Nenad, Jelenković Filip, Nikolić Zorica, Tošić Milorad

Abstract: The reliability of IoT networks gained its significance during the past several years, mainly due to the harmful coexistence with other technologies operating in the same 2.4 GHz frequency band. IoT applications, using ZigBee, have much lower power than WiFi, the most widespread technology in this frequency band. Such a coexistence results in a significant packet loss in ZigBee networks, which makes them unreliable. The sensor data driven design directions, developed using the massive online IoT testbed SmartSantander, are given in this paper. The interference problems are identified and described, which is the most important step towards the future performance improvement of IoT applications.

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63. Monitoring Open Pit Mining in TE-KO Kostolac Issues and Challenges

Pages 299-304

Zogović Nikola, Pantelić Snežana, Stošić Dragan

Abstract: Supporting mining processes by modern information and communications technologies is emerging area. We have previously enabled monitoring of some important parameters in open pit mining and set an integral framework for sustainable mining. In this paper, we extend our activities in monitoring phase according to the proposed framework and analyze various ways of data collecting. We show that combining data from proprietary, open data and public sources, sufficient set of data for sustainable control of open pit mining process can be established.

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64. Benefit analysis of blockchain technology on Hyperledger and Ethereum platform

Pages 305-308

Stankovski Jelena, Dejanović Stefan, Erdeljan Aleksandar, Lendak Imre

Abstract: In this paper, we will analyze benefits of two popular private blockchain platforms, Ethereum and Hyperledger Fabric. Blockchain is decentralized transaction and data management technology and is said that its impact will be similar to the impact Internet had. Blockchain can be implemented in many industries, but the question is: is it needed, regarding scalability, business value and performance? The goal of this paper is to present analysis results regarding business value of both blockchain platform.

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65. Formalization of a knowledge base applied to dental implant

Pages 309-314

Biscolli Biasi Vinicius, Rudek Marcelo, Szejka Anderson Luis, Canciglieri Jr. Osiris

Abstract: With the expressive amount of terms and concepts generated over the years for all the existing domains, a formalization and possible validation of such domains were given as necessity. In the medical field, for example, more precisely in the field of implantology, terms are used daily in different ways around the world. The standardization of such terms is extremely important for human and machine understanding, thus creating a semantic interoperability between both systems. Thus, the use of ontologies as a method of knowledge formalization has been an approach to benefit the human understanding for any real domain. Applying this method to the area of implantology, ontological basis comes to benefit the professional dental surgeon at the time of decision making in choosing which type of dental implant to be applied to each particular case. This method consists of determining which implant is to be applied before a numerous physiological parameters of the patient compared to structural parameters of existing dental implants. For this method to be a real application, the formalized ontologies must contain and supply all essential data related to this domain. Therefore, this project focuses on the formalization of an ontological basis aimed at the application of a dental implant before physiological human and implant variables by itself. In order to obtain the results, it is essential to keep in mind the real meaning of the semantics and interoperability concepts, which should be applied together to the formalization of an ontology. In addition, it is necessary to analyze the application of these concepts in the dental field so that a case study based on the formalized ontology can be applied later. The formalization of the ontology was made based on Protégé software created by specialists of the university of Stanford in California. The results showed that not only an efficient but also effective solution for such an application was obtained, making the decision of dental professionals simpler with lower failure rates and better acceptance of the patient's body in relation to osseointegration.

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66. Solution for quantitative analysis of texts in Serbian based on syllables

Pages 315-320

Kaplar Sebastijan, Stanković Ranka, Lazić Biljana, Obradović Ivan, Radojičić Marija

Abstract: The aim of this paper is to present an approach to quantitative analysis of syllable distribution in Serbian texts. The approach is based on creating a software that allows automatic processing of texts in Serbian, and which will have as a result the text with words divided in syllables, according to the syllabification rules for Serbian. Also, the program should give a detailed quantitative analysis of the processed text, which included the analysis of syllables by type, length, frequency, words, and text. In this paper some of the initial results are presented.

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67. An Overview of Techniques for Non-Intrusive Load Monitoring

Pages 321-326

Đurović Milan, Batić Marko, Tomašević Nikola

Abstract: Although the financial benefits are crucial for today's market oriented industry, environment protection is recognized as an ultimate goal for modern industry development. This goal is usually performed in the frame of energy efficiency. It has been shown that non-intrusive load monitoring (NILM) is not only beneficial for planning and optimization of production but also for consumption of energy. Overview of basic problems related to NILM, key idea, theoretical frames for realization of this task and an implemented algorithm are presented in this paper.

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68. The Semantic Web Conceptual Solution and Working Ontology for Tourism Ecosystem

Pages 327-332

Markoska Ramona, Markoski Aleksandar

Abstract: Tourism is one of the highly dynamic areas which already extensively are using the available Internet technologies. The Semantic Web as the next generation web, gives opportunity of having background knowledge about the meaning of web sources stored in a machine-readable way using appropriate ontologies. Several publicly available tourism ontologies already exist today. However, information management solutions for tourism are still at an early stage from a semantic point of view. Concept of tourism “ecosystems” gives opportunity to implement successful tourism sector strategy and address the system-level challenges that lead to build up the institutions that support tourism and solving the problems which includes inadequate physical and social infrastructure and insufficient attention to environmental issues. Based on previous principles authentic tourism ecosystem ontology is created and presented in this paper. Open source software OWLGrEd was used for ontology creation and a set of mutually compatible software tools for creating and implementation of semantic solutions, such as WAMP server, ARC2, PHP, MySQL, and SPARQL. Proposed conceptual solution can be used for development of the next generation tourism information systems.

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69. Trust Establishing Model in IoT using PKI and Timestamp

Pages 333-338

Vulić Ivan, Prodanović Radomir, Vukčević Gradimir, Sretenović Stefan

Abstract: IoT system gathers data from physical devices integrated into a data exchange network. Upon analysis, intelligent systems or humans make decisions based on the analysis performed. The quality of decision made depends on the trustworthiness of the data sources. One of the key elements in the decision-making process is trustworthy interaction between IoT entity and time information. In order to make timely decision, it is necessary to be certain about the time of the data gathering. The authors apply PKI technology in order to secure trust between all parties in the communications and timestamping technology to verify digital data in specific time in trustworthy and verifiable way.

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70. qGrains – Software for hydraulic conductivity estimation from granulometry

Pages 339-342

Dotlić Milan, Pušić Milenko, Jevtić Goran, Dimkić Milan

Abstract: Software qGrains is intended for estimation of hydraulic conductivity based on granulometry analysis of samples taken from exploration drills. Using qGrains, it is possible to make space classification, sistematization and schematization of sediments based on choosen percentage involvement or choosen grain-size. This is a usefull part of preparation for a higher level of hydrogeological interpretation, for example making hydrodinamical model.

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71. Production of personalized child orthosis using additive technology

Pages 343-345

Pakši Ivana, Galeta Tomislav, Bodlović Ana-Marija, Raos Pero

Abstract: This paper explains the production of a personalized child orthosis with 3D printing technology. In agreement with the doctor’s specialists, an appropriate candidate was selected. The components of a child's orthosis have been modelled and adapted based on the scans from candidate acquired with 3D scanning technology. The 3D scanning process with OrtoSCAN digitizer and component modelling in Autodesk Fusion 360 are explained. Customized child orthosis components were made using two 3D printers: Prusa i3 P3Steel and Geeetech Prusa i3 Pro. Patient visit was followed by assembling of the orthosis. After final design and orthosis trial, the conclusion is that less modification on the shoulder part is needed and there is still room for further optimization of the orthosis. By using a generative design, it is possible to obtain an even more lighter customized orthosis that will satisfy the required mechanical properties and fulfill its function.

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72. Transportation in Smart Cities - Tracking and improving driving comfort

Pages 346-349

Jovanović Željko, Avdić Aldina, Janković Dragan

Abstract: The rapid process of urbanization of the population in the world, as well as increased application of mobile and ubiquitous computing in all spheres of human activity, caused the modernization of the conditions of transport and traffic. Smart devices with the ability to collect data from the context of vehicles and passengers provide the possibility of processing them in order to increase the quality of transport services. If this information is publicly available and used to form collective intelligence in order to improve the transport conditions for residents of the cities, then they contribute to the areas of smart traffic in the concept of smart cities. The paper describes a smart transport service, which provides the possibility of monitoring the vibrations in the vehicle, in order to improve the level of comfort when driving in urban transport. The client-server application collects information about vibrations, and the result of their processing is publicly available estimations of routes, according to the criterion of driving comfort.

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