INTRODUCTION In the 1950s and 1960s, former Yugoslavia entered into bilateral treaties on legal assistance with Austria (Treaty 3), Bulgaria (Treaty 22), Czechoslovakia (Treaty 13), Hungary (Treaty 25), Poland (Treaty 26) and Romania (Treaty 27). Today these treaties are in force between the four successor countries of Yugoslavia – i.e. Serbia, Bosnia and Herzegovina (henceforth: B&H), North Macedonia (henceforth: Macedonia) and Montenegro – and all the abovementioned European countries, which in the meantime have become EU Member States (in the case of Czechoslovakia, the Czech Republic and Slovakia as its successors). Each of these bilateral treaties contains the conflict-of-laws rules and procedural rules on succession that take precedence over, respectively, the rules of the Succession Regulation (Article 75(1)) in the contracting parties that are now EU Member States and the national private international law (PIL) rules in the four successor countries of former Yugoslavia that are not EU members. As these rules are based on the principle of nationality and the principle of the location of the estate, they are completely incompatible with the rules of the Succession Regulation and are, therefore, undesirable in the EU Member States. From the perspective of the successor countries of former Yugoslavia, a general assessment of the rules on succession contained in bilateral treaties cannot be given, mainly because international succession law is not consistently regulated in the successor countries: the rules of Serbian, B&H and Macedonian international succession law are based on traditional principles that correspond to those of the bilateral treaties, while the rules of Montenegrin international succession law follow the principles contained in the Succession Regulation. In order to make a proper assessment, it is first necessary to make a few remarks on the conflict-of-laws and procedural rules on succession in Serbia, B&H, Macedonia and Montenegro and then to look into the conflict-of-laws regimes and the procedural rules of the bilateral treaties in detail. A FEW REMARKS ON NATIONAL PRIVATE INTERNATIONAL LAW RULES IN SUCCESSION MATTERS SERBIA AND BOSNIA AND HERZEGOVINA The main legal source of private international law in Serbia and B&H is the Act on Resolution of Conflict of Laws with Regulations of Other Countries (henceforth: PIL Act), which was enacted in 1982 in the former Socialist Federal Republic of Yugoslavia (henceforth: SFRY) and is, with minor amendments, still in force today in both countries.

In real datasets often occur cases, where variable or multiple variables have unusual values. These cases are known as anomalies or outliers. For any analysis, it is essential to detect them, because they can bias the analysis. In this paper, a robust anomaly detection method is presented, and it is based on median, rather then on mean value. The method is explained, as well as its parameters and the way how they affect the results. The method is then implemented, and used on Internal Banking Payment Systems. Analysis is given and results are presented.

The class of even-hole-free graphs is very similar to the class of perfect graphs, and was indeed a cornerstone in the tools leading to the proof of the Strong Perfect Graph Theorem. However, the complexity of computing a maximum independent set (MIS) is a long-standing open question in even-hole-free graphs. From the hardness point of view, MIS is W[1]-hard in the class of graphs without induced 4-cycle (when parameterized by the solution size). Halfway of these, we show in this paper that MIS is FPT when parameterized by the solution size in the class of even-hole-free graphs. The main idea is to apply twice the well-known technique of augmenting graphs to extend some initial independent set.

Many companies own a significant number of vehicles. To ensure the undisturbed company workflow, all vehicles have to be tracked. The standard way of vehicle tracking is via a GPS device. Sometimes, GPS devices are sending fallacious data to the server. That data can cause significant errors in daily reports or in the vehicle route preview. This paper describes an efficient technique for finding different types of anomalies in GPS data. The paper describes a connection between finding a QRS complex in ECG signal and anomalies in GPS data. The algorithm is implemented and used as a part of the GPS tracking system that is used by distribution companies in Bosnia and Herzegovina.

Depending on actual load profiles connected to grid containing a PV system, losses and power quality disturbances vary during the day due to the power unbalance in the connection node. With the increase in size of PV power plants this problem becomes more important. Different load profiles have different correlation with the daily power generation from the PV system. Therefore, economic and technical impact of different daily load curves on grid connected PV systems should be considered. This paper gives an analysis of aforementioned problems. After the description and comparison between different load profiles and daily load curves, a simulation model is described and different situations of occurring problems are tested and analyzed. Simulations were carried out with real load profiles. Finally, this paper gives an overview of problems and gives few proposes for their solution.

This document presents an algorithm for a non-obtrusive recognition of Sleep/Wake states using signals derived from ECG, respiration, and body movement captured while lying in a bed. As a core mathematical base of system data analytics, multinomial logistic regression techniques were chosen. Derived parameters of the three signals are used as the input for the proposed method. The overall achieved accuracy rate is 84% for Wake/Sleep stages, with Cohen’s kappa value 0.46. The presented algorithm should support experts in analyzing sleep quality in more detail. The results confirm the potential of this method and disclose several ways for its improvement.

The 16 articles in this special section examine both licensed and unlicensed spectrum for 5G/B5G wireless networks. The incredible increase in connected appliances and downloaded applications has pushed mobile operators to the limits of their licensed spectrum bands. This has triggered the idea of evolving the current radio access network to use the underutilized unlicensed spectrum to extend spectrum resources beyond current usage charts. This mode of cellular access has raised a lot of questions about use cases, enabling technologies, and fairness to other native unlicensed users, such as WiFi. Nevertheless, unlicensed access is being accepted as one of the most significant solutions to improve the resource availability and system scalability in future fifth generation (5G)/beyond 5G (B5G) networks.

Abstract The paper first investigates the influence of daily mobility of population on evaluation of aircraft noise effects. Then, a new air traffic assignment model that considers this activity is proposed. The main objective is to reduce the number of people affected by noise via lowering as much as possible the noise exposure level Lden of individuals or groups of people who commute to the same locations during the day. It is hereby intended to reduce the noise impact upon individuals rather than to reduce the impact in particular – typically densely populated – areas. However, sending aircraft farther away from populated regions to reduce noise impact may increase fuel burn, thus affecting airline costs and sustainability. Therefore, a multi-objective optimization approach is utilized to obtain reasonable solutions that comply with overall air transport sustainability. The method aims at generating a set of solutions that provide proper balance between noise annoyance and fuel consumption. The reliability and applicability of the proposed method are validated through a real case study at Belgrade airport in Serbia. The investigation shows that there is a difference between the number of people annoyed (NPA) evaluated based on the census data and the NPA evaluated based on the mobility data. In addition, these numbers differ significantly across residential locations. The optimal results show that the proposed model can offer a considerable reduction in the NPA, and in some cases, it can gain up to 77%, while maintaining the same level of fuel consumption compared with the reference case.

This paper presents a new approach for solving decentralized bi-level multi-objective linear fractional programming problems. The main goal was to find a simple algorithm with high confidence of decision-makers in the results. First, all the linear fractional programming models on the given set of constraints were solved separately. Next, all the linear fractional objective functions were linearized, membership functions of objective functions and decision variables controlled by decision-makers at the highest level calculated, and a fuzzy multi-objective linear programming model formed and solved as linear goal programming problem by using simplex algorithm. The efficiency of the proposed algorithm was investigated using an economic example, and the obtained results compared with those obtained using an existing method.

Increasing student motivation and engagement in classroom (and during the study in general) is the aim of every lecturer. Never stopping development of new digital tools and media present a new challenge in the educational process. The goal of this research is to increase the knowledge and understanding of the influence of Bring Your Own Device (BYOD) approach (and use of the mobile devices in classrooms in general) on: teachers’ practice and students’ classroom activities, students’ attitude about bringing the mobile phones in the class and mobile phone applications in education processes. This research focuses on undergraduate and postgraduate mechanical engineering students. Personal reflection of the lecturers and online survey for students was used as a tool to investigate participants’ attitude towards mobile applications as a method of promotion of active learning in engineering education.

Channel coding is a common technique used to reduce bit-error rate (BER) in a communication channel. In cases where a certain block code is used, there is a known procedure for determining a residual BER (bit-error rate after encoding and decoding). Analysis in opposite direction should determine a block code parameters for optimising system performance in terms of reliability and throughput. This paper proposes an iterative method for addressed problem by introducing some auxiliary function, whose inverse can be written in closed form. We demonstrate the usage of proposed method in determining parameters of suitable binary BCH code to improve error probability during the transmission of BPSK signal over Rayleigh fading channel. The correctness of analytically obtained results are validated by simulation results.

The software-defined networking (SDN) is an articulation of the idea of increasing the network programmability with the aim of solving the problems identified in earlier research, regarding the complex and the time-consuming process of the protocol and interface standardization. An analysis of research in the field of SDN, presented through various review and survey papers, has shown that previous research was not sufficiently focused on flexibility and programmability of the data plane in SDN. Therefore, the goal of this paper is to improve the flexibility of the data plane in SDN by increasing the programmability level of the packet-switching node. To achieve the set goal, it was necessary to choose an appropriate metric for evaluation of flexibility and programmability of the data plane. Since there is no common position on the choice of metrics, a novel metric based on qualitative criteria is proposed in this paper. An existing data plane architectures in SDN are observed through the proposed metric. In the end, a novel data plane architecture, with improved flexibility from the aspect of the qualitative metric, is proposed.