Palmberger, Monika, How Generations Remember: Conflicting Histories and Shared Memories in Post-War Bosnia and Herzegovina. London: The Palgrave Macmillan, 2016. pp. vii+254. ISBN 978-1-137-45063-0.

Sebina Sivac-Bryant, Re-Making Kozarac: Agency, Reconciliation and Contested Return in Post-War Bosnia, Palgrave Studies in Com- promise after Conflict, 2016. Str. 214, ISBN 978-1-137-58838-8.

Short circuit faults are one of the most common disturbances in power systems that occur because of insulation failure due to a sudden overvoltage condition caused by lightning, switching operations, insulation contamination, etc. Medium voltage power distribution networks use different methods for grounding the neutral point. Influences of these grounding methods on the characteristics of single-phase short circuit fault are discussed in this paper on the example of substation “Bugojno”. Modeling and simulation are implemented in EMTP-RV (Electromagnetic Transient Program-Restructured Version) software. Data recorded by protection system during normal operation and three-phase short circuit fault in the substation are analyzed and used for comparison with simulation results to validate developed model of the observed part of power system. This validated model was then used to analyze the effects of neutral point grounding methods on the characteristics of single-phase short circuit fault.

Transient events, especially those related to the short circuit faults, are the main causes of power distribution lines outages. This paper is dedicated to the analysis of three-phase short circuit fault and its impact to the real 20 kV power distribution lines. One of the most important parts of Bosnia and Herzegovina's power system was monitored and analyzed. Short circuit currents and voltages were obtained by using the power distribution lines numerical protection system measurements from the moment of fault occurrence to the moment when the faulty line was switched off. Part of the power system of interest was modeled in EMTP-RV (Electromagnetic Transient Program - Restructured Version) software which is standardized software for transient analyses. Several simulations were conducted to perform fault analysis. Measured data and simulation results were compared.

Overvoltages are unpredictable and extremely dangerous for the electric power system. The causes of overvoltages are different, but lightning is considered as one of the most serious causes of overvoltages. High voltage substations are one of the main parts of the power system whose faults caused by overvoltages can lead to outage of large part of power system. Therefore, overvoltage protection of a high voltage substation is very important. In order to protect the substation as much as possible from the effects of the overvoltages, it is necessary to implement elements that can help reduce these effects, for example surge arresters. This paper presents the effects of the use of surge arresters in high voltage, gas SF6 insulated substation, modeled in the EMTP-RV (Electromagnetic Transient Program-Restructured Version) software. An accurate representation of lightning surge incoming in the substation is very important because it strongly affects the design of overvoltage protection system. In this paper parameters of lightning strikes are determined using Sigma Slp software.

The possibilities of using artificial neural networks (ANNs) for quick decision-making in the events of prolonged surges are presented in this paper considering that neural networks can establish non-linear relationships between the parameters of an ultra-high voltage transmission line. Research has been carried out based on theoretical models as well as practical problems aiming at the analysis of resonant overvoltages during their occurrence, development and existence. Determining of overvoltage characteristics was carried out in the presence of a significant number of fuzzy specified factors affecting the accuracy. The multilayer model, suitable for identifying the factors having the greatest impact on the occurrence, frequency and multiplicity of overvoltages in electrical networks, is applied. The resonant overvoltages were generated by connecting the autotransformer to the electrical bulk network. The results of determining the characteristics of resonant overvoltages using ANNs are presented in this paper. To achieve this goal, the following four tasks were formulated: (i) overvoltage characteristics using neural network methods were determined, (ii) neural network model corresponding to power line initial data was built, (iii) forecasted results were obtained, and (iv) the accuracy of constructed model was evaluated.

The Church of the Holy Archangels Michael and Gabriel located in Sarajevo is a national monument belonging to Eastern Orthodox cultural heritage. It is a very well-preserved sacral object considering the date of first mention is 1539 and it has been used to date for the religious purposes. On the other hand, deterioration of aging historical/religious buildings is inevitable process composed of cumulative, progressive and nonlinear factors. Hence, in order to maintain their best condition for as long as possible compliance with guidelines and procedures for cultural heritage preservation is needed. Climate control within historical/religious buildings surfaced as an important research area as indoor climate is changing in recent times. Humans have always shaped their environment by desire to enjoy concurrently the comfort of modern living as well as preserve the monuments for future generations. For example, use of heating systems in historical/religious buildings are creating new challenges for their preservation. This paper is an attempt towards the implementation of Internet of Things (IoT) system with focus on preservation of the national monument using a simulation of climate control in the Church of the Holy Archangels Michael and Gabriel.

The study focused on assessing and testing Windows 10 to identify possible vulnerabilities and their ability to withstand cyber-attacks. CVE data, alongside other vulnerability reports, were instrumental in measuring the operating system's performance. Metasploit and Nmap were essential in penetration and intrusion experiments in a simulated environment. The study applied the following testing procedure: information gathering, scanning and results analysis, vulnerability selection, launch attacks, and gaining access to the operating system. Penetration testing involved eight attacks, two of which were effective against the different Windows 10 versions. Installing the latest version of Windows 10 did not guarantee complete protection against attacks. Further research is essential in assessing the system's vulnerabilities are recommending better solutions.

Most modern missiles implement some variant of proportional navigation (PN) guidance law. In order to implement this form of navigation, the missile has to measure line of sight (LOS) rate. Devices capable to measure LOS rate are referred to as the seekers. This article aims to present analysis of a missile seeker mathematical models with purpose to obtain LOS rate estimation used for implementation of PN in three dimensions. This paper includes MATLAB simulations of developed seeker with 6-DOF nonlinear missile mathematical model and autopilot presented in earlier works by the authors.

With the decreasing reserves of conventional sources and the high emission of harmful gases caused by them, the inclusion of renewable energy sources in power system is increasing. However, to best utilize them, different site location criteria for PV generator installment need to be considered in the decision-making process. This paper presents Fuzzy Analytical Hierarchical Process (AHP) method used in energy planning to find the best Photovoltaic (PV) system site location for the established criteria and factors. Eight criteria were identified and evaluated. These include the solar energy potential, distance to the transmission line, PV surface slope, sunshine duration, the total amount of energy/PV, the temperature ratio, site survey, and performing shading analysis. PVGIS software tool is used to collect necessary data. Evaluation criteria are prioritized by applying fuzzy AHP, fuzzifying the inputs of the decision matrix using triangular fuzzy numbers. The obtained results and the methodology show potential in finding the best location where the PV system can be best utilized.

Underground diesel exhaust exposure is an occupational health risk. It is not known how recent intensified emission legislation and use of renewable fuels have reduced or altered occupational exposures. We characterized these effects on multipollutant personal exposure to diesel exhaust and underground ambient air concentrations in an underground iron ore mine. Full-shift personal sampling (12 workers) of elemental carbon (EC), nitrogen dioxide (NO2), polycyclic aromatic hydrocarbons (PAHs), and equivalent black carbon (eBC) was performed. The study used and validated eBC as an online proxy for occupational exposure to EC. Ambient air sampling of these pollutants and particle number size distribution and concentration were performed in the vicinity of the workers. Urine samples (27 workers) were collected after 8 h exposure and analyzed for PAH metabolites and effect biomarkers (8-oxodG for DNA oxidative damage, 4-HNE-MA for lipid peroxidation, 3-HPMA for acrolein). The personal exposures (geometric mean; GM) of the participating miners were 7 µg EC m−3 and 153 µg NO2 m−3, which are below the EU occupational exposure limits. However, exposures up to 94 µg EC m−3 and 1200 µg NO2 m−3 were observed. There was a tendency that the operators of vehicles complying with sharpened emission legislation had lower exposure of EC. eBC and NO2 correlated with EC, R = 0.94 and R = 0.66, respectively. No correlation was found between EC and the sum of 16 priority PAHs (GM 1790 ng m−3). Ratios between personal exposures and ambient concentrations were similar and close to 1 for EC and NO2, but significantly higher for PAHs. Semi-volatile PAHs may not be effectively reduced by the aftertreatment systems, and ambient area sampling did not predict the personal airborne PAHs exposure well, neither did the slightly elevated concentration of urinary PAH metabolites correlate with airborne PAH exposure. Miners’ exposures to EC and NO2 were lower than those in older studies indicating the effect of sharpened emission legislation and new technologies. Using modern vehicles with diesel particulate filter (DPF) may have contributed to the lower ambient underground PM concentration and exposures. The semi-volatile behavior of the PAHs might have led to inefficient removal in the engines aftertreatment systems and delayed removal by the workplace ventilation system due to partitioning to indoor surfaces. The results indicate that secondary emissions can be an important source of gaseous PAH exposure in the mine.

The possibility of establishing a transparent public procurement process through the inclusion of protected transparent digital technologies or platforms, such as blockchain technology, represents a significant step forward in the field of public procurement. Furthermore, if we add to this idea the Ethereum network and the ability to create applications that run on this network, such as smart contracts, the procurement process can be made much more objective and transparent to all participants in the process. The proposed model presented in this paper consists of two smart contracts. Each one of them has its own basic building blocks used for different phases of the public procurement process, from the definition of security access polices for different parts of procurement contract, public procurement procedure, bidding by interested bidders, evaluation of bids and the final publication of the results. Elements of the proposed system have been analyzed and presented and some of the further development plans have been formulated.

Institucije islamske civilizacije – izabrani članci iz Türkiye Diyanet Vakfı İslâm Ansiklopedisi, Ahmet Alibašić, Munir Mujić  (ur.), Sarajevo: Čentar za napredne studije, 2017, str. 712, ISBN 978-9958-022-50-0.

In contemporary electrical power systems real-time power line monitoring and supervision are commonly performed using simple non-invasive devices with contactless magnetic field measurement. Measured magnetic fields are commonly employed for fault detection in fault passage indicators, but they can also be used to determine electrical and non-electrical power line variables. In this paper a novel adaptive method for conductor sag estimation is proposed, using magnetic field measurement. The method is based on the properly calibrated approximate power line magnetic field model, in which catenary-shaped conductors are modeled by tilted straight-line conductors of infinite length. By this approximation, the overhead power line model can be used in simple devices for power line monitoring in real-time. Applicability and accuracy of the proposed method for power line conductor sag estimation is verified by computer simulations and measurements on a three-phase overhead line model, scaled to laboratory conditions.

Digital transformation represents a connective tissue of the global economic system and therefore is an unavoidable element in the process of improvement, both developed and underdeveloped countries. In contrast to digitalization, which was the initiator of digital transformation and relied exclusively on the introduction of digital technologies, digital transformation is interpreted as much wider and requires a special set of skills and competencies. From the perspective of technological innovations, which is the key segment of this process, it is necessary to recognize relevant elements that ensure that the process of digital transformation runs smoothly. Initially, in order to identify the digital competencies of which the process consists, it is necessary to analyze the process of digital transformation itself. After the analysis, the focus shifts to the digital competencies needed to fulfill the identified skills. In this paper, an analysis of digital transformation is performed and the necessary competencies that employees need to have for this process to be successful within the business ecosystem are identified. Relying on DIGCOMP as guidance for digital competencies, recommendations and suggestions were formed in order to connect these two areas.