Possibility of Dynamic Penetrometer Use in Clayey Sandy Soil on Railway Route Zenica- Sarajevo

Application of dynamic penetration is not widely spread, considering the limited number of data that can be obtained. When а larger number of boreholes on terrains built of soft rocks is required, there exists economic justification for the use of certain dynamic tests that can give data about resistance and soil density. Also, in parts where the access is difficult or impossible for the machines for soil probing, penetrometer tests are only possible for obtaining certain parameters. Correlation between point of resistance and shear strength can obtain data of undrained firmness shear strengths for clayey soils, and based on the value of point of resistance the percentage of compaction of soil with quite real accuracy. The dynamic penetration test was applied along the route of the Zenica-Sarajevo railway. Since this is a rarely used type of research, the authors hope that this paper will serve to others as well, towards further research on better correlations between the two types of methods. It is necessary to make the method with penetration as applicable as possible, because it can be used in very inaccessible places with many more test points and does not require large financial investments

ELECTRO-ACOUSTIC ANALOGIES BETWEEN THERMOELASTIC COMPONENT OF THE PHOTOACOUSTIC SIGNAL AND LOW-PASS RC FILTER

This paper presents a new approach to the thermal characterization of aluminum, based on the electro-acoustic analogy between the thermoelastic component of the photoacoustic signal and the passive RC low-pass filter. The analogies were used to calculate the characteristic thermoelastic cut-off frequencies of the photoacoustic component and obtain their relationship with the thickness of the aluminum samples. Detailed numerical analysis showed that the required relationship is linear in the log-log scale and can serve as a reference curve for the given material. The results of the numerical analysis were also confirmed experimentally

Photoacoustic characterization of TiO2 thin-films deposited on Silicon substrate using neural networks

In this paper, the possibility of determining the thermal, elastic and geometric characteristics of a thin TiO2 film deposited on a silicon substrate, thickness 30 mikrons, in the frequency range of 20 to 20 kHz with neural networks was analyzed. For this purpose, the substrate parameters remained the known and constant in the two-layer model and nano layer thin-film parameters were changed: thickness, expansion and thermal diffusivity. Prediction of these three parameters was analyzed separately with three neural networks and all of these together by fourth neural network. It was shown that neural network, which analyzed all three parameters at the same time, achieved the highest accuracy, so the use of networks that provide predictions for only one parameter is less reliable.Comment: 21 pages, 5 figure

Aridity in the central and southern Pannonian basin

For the investigation of geographical, monthly, seasonal, and annual distributions of aridity and its annual trend in the region of the Central and Southern Pannonian Basin (CSPB), which includes the territories of Hungary and Vojvodina (Northern Serbia), the De Martonne Aridity Index (DMAI) was used. The DMAI was originally calculated from a total of 78 meteorological stations with the maximum available time series of climatological data in three cases: 1931–2017 for Hungary; 1949–2017 for Vojvodina; and 1949–2017 for Hungary and Vojvodina jointly. The Palmer Drought Severity Index (PDSI) was used to control the DMAI results. Temperature and precipitation trends were also investigated to understand their effects on the aridity trend. Three aridity types are distinguished on the annual level, five on the seasonal level, and four on the monthly level. The annual aridity had no trends in all three periods. It seems that aridity can be considered a more stable climate indicator of climate change than the temperature, at least in the CSPB. © 2020 by the authors. Licensee MDPI, Basel, Switzerland

Flourishing in subterranean ecosystems: Euro-Mediterranean Plusiocampinae and tachycampoids (Diplura, Campodeidae)

Este artículo contiene 138 páginas, 213 figuras, 14 tablas.Diplura is a group of entognathous hexapods, often considered a sister group to insects. They play an important role in recycling organic matter in soil and subterranean terrestrial ecosystems. The Campodeidae is the most diverse family, divided into four subfamilies. The subfamily Plusiocampinae has a subterranean life-style with many species distributed in the Euro-Mediterranean area. The incertae sedis tachycampoids (“lignée Tachycampoïde”) is a group within the family Campodeidae that share with the Plusiocampinae a strong preference for subterranean habitats and several morphological characters, such as slender body shape, elongated appendages, considerable increment in the number of antennomeres and cercal articles, and complexity of sensorial structures. The present monograph provides a taxonomic revision of the subfamily Plusiocampinae and the genera belonging to the tachycampoid lineage from Europe and the Mediterranean region. It comprises detailed morphological descriptions and illustrations together with data on the habitats and distributions of 87 species, 10 subspecies and 11 affinis forms. Seven new species are described among those, namely: Plusiocampa (Plusiocampa) apollo Sendra, Giachino & Vailati sp. nov., P. (P.) chiosensis Sendra & Gasparo sp. nov., P. (P.) dublanskii Sendra & Turbanov sp. nov., P. (P.) hoffmanni Sendra & Paragamian sp. nov., P. (P.) rhea Sendra sp. nov., P. (P.) ternovensis Sendra & Borko sp. nov. and P. (Venetocampa) ferrani Sendra & Delić sp. nov.DS’s field trips were funded by the Serbian Ministry of Education, Science and Technology (Grant 173038); KP was partially funded by the HISR project “Conservation of the Cave Fauna of Greece” funded by the MAVA Foundation and WWF Greece; PMG and DV carried out sampling in Greece using permits from the Ministry of Environment no. 124085/1362/2015, 135366/373/2016 and 166238/248/2018; IT was funded within the framework of the state assignment of FASO Russia (themes no. АААА-А18-118012690106-7 and АААА-А18-118012690105), supported in part by RFBR (project no. 17-54-40017Абх_а); sampling efforts by AF and colleagues resulted from various projects on the evolution of cave fauna diversity, some of them funded by the German Research Foundation, DFG (DFG FA 1042/1-1 and DFG BA 2152/14-1); PMG and DV were partly supported by the program “Research Missions in the Mediterranean Basin” sponsored by the World Biodiversity Association onlus XLI contribution; ASPSR was supported by a research grant (15471) from Villum Fonden.Peer reviewe

Cybersecurity for industrial Internet of Things: architecture, models and lessons learned

Modern industrial systems now, more than ever, require secure and efficient ways of communication. The trend of making connected, smart architectures is beginning to show in various fields of the industry such as manufacturing and logistics. The number of IoT (Internet of Things) devices used in such systems is naturally increasing and industry leaders want to define business processes which are reliable, reproducible, and can be effortlessly monitored. With the rise in number of connected industrial systems, the number of used IoT devices also grows and with that some challenges arise. Cybersecurity in these types of systems is crucial for their wide adoption. Without safety in communication and threat detection and prevention techniques, it can be very difficult to use smart, connected systems in the industry setting. In this paper we describe two real-world examples of such systems while focusing on our architectural choices and lessons learned. We demonstrate our vision for implementing a connected industrial system with secure data flow and threat detection and mitigation strategies on real-world data and IoT devices. While our system is not an off-the-shelf product, our architecture design and results show advantages of using technologies such as Deep Learning for threat detection and Blockchain enhanced communication in industrial IoT systems and how these technologies can be implemented. We demonstrate empirical results of various components of our system and also the performance of our system as-a-whole