Numerous measurements have shown that the standard R classes do not represent adequately many road surfaces used nowadays. Therefore, the construction of portable reflectometers intended for on-site measurements of road surface reflection properties has been given particular attention during the last decade. This paper presents a new procedure for the improvement of the accuracy of such a portable reflectometer. Optimally extrapolating the values of the 20 luminance coefficients (q), each measured by the portable reflectometer for a set of angles of observation (α = 5°–80°), the 20 q-values referring to α = 1° are calculated. This enables their comparison with the corresponding q elements from each of the 447 reduced q-tables derived from the available r-table database, obtained by using a precise laboratory reflectometer on a wide variety of road samples. Selecting the closest reduced q-table, the corresponding r-table and the actual average luminance coefficient can be determined. In order to validate the proposed procedure, which can also be applied to other similar portable reflectometers, measurements of the luminance and overall and longitudinal luminance uniformities were carried out on eleven road-lighting installations. They showed that the results obtained by this procedure deviate only slightly from those obtained using r-tables determined by the laboratory reflectometer.

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Dataflow architectures offer superior performance compared to control-flow architectures under certain conditions. This paper focuses on memory organization of a hybrid control-flow and dataflow architecture which guaranties that memory allocation can be accomplished in a predictable time. Mapping logical addresses into physical ones and accessing local memory in constant time is achieved using special address translation hardware. The memory organization is based on Buddy-system. It allows allocating arbitrary amounts of memory and prefetching data while it is being accessed by control-flow and dataflow hardware.

The paper analyses the performance comparison of hypervisor type 1 in the case of KVM and MS Hyper-V platforms for virtualization. The characteristics of both tested hypervisors were examined through file system performance. The tests were performed under equal conditions and with an inimitable testing methodology, using the benchmark program -Filebench. The performance of the tested hypervisors was compared taking into account tests performed for a system with one, two and finally three virtual machines in state of operation. Mathematical modelling was done, which is the main contribution of this work, then hypotheses about the expected behaviour were set and confirmed through the obtained results. Ubuntu 22.04 LTS, an OS (operating system) from the Debian distribution family, was execute as the guest OS.

The professional development of teachers is carried out for the sake of continuous progress in the level of their professional, pedagogical and technological competencies. In contemporary conditions, it is considered that technological competencies of teachers are their capability to prepare and realize teaching in an online environment, which can be an addition to or an option of teaching in the classroom. The School of electrical and computer engineering in the Academy of technical and art applied studies in Belgrade is one of the partner institutions of the Erasmus+ program „Professional Development of Vocational Education Teachers in Russia and Serbia with European Practices Pro-VET“ (2018-2022) with the goal to develop the training program „Online course design and tutoring“. In this paper is a short overview of the above mentioned training program, which was developed (2018-2019), redesigned based on results of alfa and beta testing (2020-2021) and realized twice (2022). In the paper is a brief presentation of the following: an overview of the training program, methods used to motivate teachers to enter the program, work on it and successfully complete it, teachers’ achieved success in the program and their grades for the quality of the training program.