1. Ravnanje z odpadno embalažo na bencinskem servisuDavid Kmetec, 2025, undergraduate thesis Abstract: Vsaka dejavnost podjetja ali ustanove terja določeno količino nastanka odpadne embalaže, ki je po količini in nastanku odvisna od same dejavnosti. Tema našega diplomskega dela je odpadna embalaža, ki, glede na mesto nastanka, nastane pri opravljanju dejavnosti. Izbrana dejavnost, ki jo bomo v delu analizirali, je bencinski servis. Diplomsko delo je razdeljeno na dva dela, in sicer na teoretični in empirični del. V teoretičnem delu smo predstavili definicijo in namen odpadne embalaže ter predstavili načine ravnanja z odpadno embalažo. Ker je naše izbrano analizirano okolje bencinski servis, ki v sklopu svoje dejavnosti posluje tudi s človeku in okolju nevarnimi snovmi, se bolj specifično osredotočamo na ravnanje z nevarno odpadno embalažo in nevarnimi odpadki. V empiričnem delu diplomskega dela smo naredili pregled trenutnega stanja glede količin odpadne embalaže in ravnanja z njo na izbranem bencinskem servisu in izvedli kritično analizo. Za kritične točke, ki smo jih predstavili v delu, smo nato poiskali ustrezne rešitve in podali predloge za vpeljavo ter opisali učinke vpeljav ter podali pogoje za izvedbo. Ugodni učinki temeljijo na racionalni naravnanosti k čistejšemu okolju in krepitvi ugleda bencinske črpalke.
Keywords: odpadna embalaža, bencinski servis, nevarna odpadna embalaža, nevarni odpadki
Published in DKUM: 15.05.2025; Views: 0; Downloads: 0
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2. The effect of preconditioning strategies on the adsorption of model proteins onto screen-printed carbon electrodesTea Romih, Ivan Konjević, Lea Žibret, Ika Fazarinc, Ajda Beltram, David Majer, Matjaž Finšgar, Samo B. Hočevar, 2022, original scientific article Abstract: The preconditioning and modification of the supporting electrode surface is an essential
step in every biosensor architecture. In particular, when using screen-printed carbon electrodes (SPEs)
as inexpensive and convenient disposable sensor substrates, their somewhat lower electrochemical
(surface) reproducibility might represent a complex hurdle. Herein, we investigated the effect of
selected preconditioning strategies, such as cyclic voltammetric pretreatment, in H2SO4 and H2O2
and plasma pretreatment with a positive and negative glow discharge, which all improved the electrochemical stability of the unmodified SPEs. Furthermore, we studied the influence of preconditioning
strategies on the adsorption kinetics of the two most commonly used building blocks for biosensor
preparation, i.e., bovine serum albumin (BSA) and protein A. We observed an advantageous effect
of all the examined preconditioning strategies for the modification of SPEs with protein A, being
the most effective the negative glow discharge. On the other hand, BSA exhibited a more complex
adsorption behavior, with the negative glow discharge as the only generally beneficial preconditioning strategy providing the highest electrochemical stability. Protein A revealed a more substantial
impact on the electrochemical signal attenuation than BSA considering their same concentrations in
the modification solutions. For both BSA and protein A, we showed that the concentrations of 5 and
10 µg mL−1 already suffice for an electrochemically satisfactorily stable electrode surface after 60 min
of incubation time, except for BSA at the positive-plasma-treated electrode.
Keywords: screen-printed carbon electrode, SPE, electrochemical biosensor, adsorption, bovine serum albumin, protein A, glow discharge
Published in DKUM: 15.05.2025; Views: 0; Downloads: 0
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3. Mobilna aplikacija za pretvorbo slik iz formata raw v format png s pomočjo strojnega učenjaUroš Mravljak, 2025, undergraduate thesis Abstract: V diplomskem delu je prikazan razvoj aplikacije za pretvorbo slik formata RAW v format PNG, pri čemer uporabljamo dva pristopa. Prvi temelji na standardnih algoritmih za pretvorbo slik, drugi pa na strojnem učenju, kar pomeni, da je bil model naučen čim bolj natančno pretvarjati sliko iz enega formata v drugega. Ta aplikacija dobro služi fotografom, ki zajemajo slike v formatu RAW, saj jih lahko na svojem mobilnem telefonu pretvorijo kar na poti. Na koncu sta sledili primerjava in analiza rezultatov za ugotavljanje, kateri postopek prinaša boljše rezultate. Za učenje modela je bilo uporabljenih 16 različnih slik, algoritem pa je bil implementiran s pomočjo knjižnic. Pretvorba z algoritmom je poskrbela za kvalitetnejše slike, vendar je bila pretvorba z modelom včasih hitrejša. Pretvorjene slike so bile primerjane z metrikama PSNR in SSIM ter analizirane.
Keywords: raw, png, slika, pretvorba, strojno učenje
Published in DKUM: 08.05.2025; Views: 0; Downloads: 7
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4. Vpliv spremljanja in upravljanja z incidenti na zanesljivost informacijskih sistemovDavid Slatinek, 2025, master's thesis Abstract: V magistrski nalogi obravnavamo področje zanesljivosti informacijskih sistemov, pri čemer se osredotočimo na spremljanje in upravljanje z incidenti. Predstavimo proces izdelave testnega informacijskega sistema in definiramo različne modele spremljanja in upravljanja z incidenti. Modele preizkusimo na izbranem informacijskem sistemu z uporabo brezplačnih in plačljivih orodij. V zadnjem delu analiziramo rezultate, ki pokažejo, da ima spremljanje pozitiven vpliv na zanesljivost, medtem ko upravljanje z incidenti nima vpliva.
Keywords: zanesljivost, SRE, spremljanje, New Relic, opozarjanje
Published in DKUM: 08.05.2025; Views: 0; Downloads: 14
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5. Robot for navigation in maize crops for the Field Robot Event 2023David Iván Sánchez-Chávez, Noé Velázquez-López, Guillermo García-Sánchez, Alan Hernández-Mercado, Omar Alexis Avendaño-Lopez, Mónica Elizabeth Berrocal-Aguilar, 2024, original scientific article Abstract: Navigation in a maize crop is a crucial task for the development of autonomous robots in agriculture, with numerous applications such as spraying, monitoring plant growth and health, and detecting weeds and pests. The Field Robot Event 2023 (FRE) continued to challenge universities and other research teams to push the development of algorithms for agricultural robots further. The Universidad Autónoma Chapingo has been developing a robot for various agricultural tasks, aiming to provide a low-cost alternative to work with Mexican farmers in the future. For this edition of the FRE, a navigation algorithm was created using an encoder, an IMU (Inertial Measurement Unit), an RPLIDAR (Rotating Platform Light Detection and Ranging), and cameras to collect data for decision-making. The algorithm was developed in ROS Melodic, dividing the task into steps that were tested to determine the robot's actual movements. The system navigates by using ROIs (regions of interest) and the mass center to guide the robot between maize rows. It calculates the mean of the final orientation values before reaching the end of a row, which is detected using an RPLIDAR. For turns and straight-line movements to reach the next row, the orientation is used as a guide. To detect plants for spraying, lasers located on each side of the vehicle are employed. Obstacle detection relies on a YOLOv5 (You Only Look Once) trained model and a laser, while reverse navigation uses a rear camera. During the competition, the robot faced challenges such as dealing with grass, the small size of the plants, and the need to use a different power source, which affected its performance.
Keywords: machine vision, convolutional neural network (CNN), regions of interest (ROI), autonomous navigation
Published in DKUM: 23.04.2025; Views: 0; Downloads: 0
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6. Exploring the relationship between anaerobic and morphological characteristics and competition success in young male Slovenian judo athletesJožef Šimenko, Nik Mahnič, David Kukovica, Hrvoje Sertić, Ivan Segedi, Radoje Milić, Damir Karpljuk, Bayram Ceylan, Samo Rauter, 2024, original scientific article Abstract: Judo elements rely on lower and upper body muscle power, supported by the ATP-PCr energy system, which is crucial in high-intensity tasks. This study aims to assess the anaerobic status of young male competitive judokas using the upper body Wingate test and explore associations with competition performance and individual morphological characteristics. A total of 29 male judokas from the U18 and U20 age categories were tested, all actively participating in top-tier national and international competitions. Anthropometric characteristics and body composition measurements were obtained for all participants through bioelectrical impedance analysis. Anaerobic testing was conducted using the upper body Wingate test with a hand ergometer. Competition performance was recorded from the final national cup ranking list. The results presented no statistically significant correlations between morphological and anaerobic variables and competitive performance among selected participants. This highlights the importance of the necessity of updated training programs to increase the anaerobic performance of young Slovenian judokas. Additionally, it shows that in these age groups, anaerobic performance is not the crucial factor but just one piece of the puzzle in young judokas’ successful competition performance; therefore other variables should be further researched.
Keywords: sport, judo, performance, anaerobic power, combat sports, martial arts, athlete development, youth, training
Published in DKUM: 07.04.2025; Views: 0; Downloads: 1
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7. Ocena potenciala medsektorske integracije v Sloveniji s poudarkom vključevanja prometnega sektorja : zaključno poročiloAndreja Nemet, Miloš Bogataj, David Hvalec, Franco Krog, Klemen Rola, Sven Gruber, Jurij Avsec, Danijela Urbancl, Darko Goričanec, Zdravko Kravanja, 2025, final research report Keywords: medsektorska integracija, prometni sektor
Published in DKUM: 03.04.2025; Views: 0; Downloads: 5
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8. A hierarchical universal algorithm for geometric objects’ reflection symmetry detectionBorut Žalik, Damjan Strnad, Štefan Kohek, Ivana Kolingerová, Andrej Nerat, Niko Lukač, David Podgorelec, 2022, original scientific article Abstract: A new algorithm is presented for detecting the global reflection symmetry of geometric
objects. The algorithm works for 2D and 3D objects which may be open or closed and may or may
not contain holes. The algorithm accepts a point cloud obtained by sampling the object’s surface at
the input. The points are inserted into a uniform grid and so-called boundary cells are identified.
The centroid of the boundary cells is determined, and a testing symmetry axis/plane is set through
it. In this way, the boundary cells are split into two parts and they are faced with the symmetry
estimation function. If the function estimates the symmetric case, the boundary cells are further split
until a given threshold is reached or a non-symmetric result is obtained. The new testing axis/plane
is then derived and tested by rotation around the centroid. This paper introduces three techniques to
accelerate the computation. Competitive results were obtained when the algorithm was compared
against the state of the art.
Keywords: computer science, computational geometry, uniform subdivision, centroids
Published in DKUM: 01.04.2025; Views: 0; Downloads: 4
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9. Namestitev LED smernikov za vidno vodenje prometa v primeru megle GROSUPLJE-BIČ : magistrsko deloDavid Herič, 2025, master's thesis Abstract: V magistrskem delu obravnavamo problematiko zmanjšane vidljivosti zaradi megle na odseku avtoceste Grosuplje–Bič ter uvedbo LED smernikov kot rešitev za izboljšanje prometne varnosti. Analiza vremenskih razmer na tem območju je pokazala, da megla pogosto povzroča nevarne razmere, še posebej v zimskih mesecih in prometnih konicah. Na podlagi podrobnih tehničnih izračunov smo zasnovali sistem LED signalizacije, ki samodejno prilagaja delovanje vremenskim razmeram, in zagotovili njegovo tehnično skladnost z veljavnimi standardi. Rezultati potrjujejo, da bo uvedba LED smernikov bistveno prispevala k večji prometni varnosti in zmanjšala število nesreč v pogojih zmanjšane vidljivosti.
Keywords: LED smerniki, megla, varnost, avtocesta
Published in DKUM: 31.03.2025; Views: 0; Downloads: 12
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10. STALITA: innovative platform for bank transactions analysisDavid Jesenko, Štefan Kohek, Borut Žalik, Matej Brumen, Domen Kavran, Niko Lukač, Andrej Živec, Aleksander Pur, 2022, original scientific article Abstract: Acts of fraud have become much more prevalent in the financial industry with the rise
of technology and the continued economic growth in modern society. Fraudsters are evolving
their approaches continuously to exploit the vulnerabilities of the current prevention measures
in place, many of whom are targeting the financial sector. To overcome and investigate financial
frauds, this paper presents STALITA, which is an innovative platform for the analysis of bank
transactions. STALITA enables graph-based data analysis using a powerful Neo4j graph database
and the Cypher query language. Additionally, a diversity of other supporting tools, such as support
for heterogeneous data sources, force-based graph visualisation, pivot tables, and time charts, enable
in-depth investigation of the available data. In the Results section, we present the usability of the
platform through real-world case scenarios.
Keywords: Neo4j, platform, bank transactions, graph analysis, graph visualisation, fraud, investigation
Published in DKUM: 27.03.2025; Views: 0; Downloads: 2
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