1. Strength analysis of real-life passwords using Markov modelsViktor Taneski, Marko Kompara, Marjan Heričko, Boštjan Brumen, 2021, original scientific article Abstract: Recent literature proposes the use of a proactive password checker as method for preventing
users from creating easy-to-guess passwords. Markov models can help us create a more effective
password checker that would be able to check the probability of a given password to be chosen by an
attacker. We investigate the ability of different Markov models to calculate a variety of passwords
from different topics, in order to find out whether one Markov model is sufficient for creating a more
effective password checker. The results of our study show that multiple models are required in order
to be able to do strength calculations for a wide range of passwords. To the best of our knowledge,
this is the first password strength study where the effect of the training password datasets on the
success of the model is investigated.
Keywords: Markov models, passwords, parword analysis, password strength, password score
Published in DKUM: 19.06.2025; Views: 0; Downloads: 0
 Full text (695,62 KB)
This document has many files! More... |
2. A case study on the design and implementation of a platform for hand rehabilitationTomaž Kosar, Lu Zhenli, Marjan Mernik, Marjan Horvat, Matej Črepinšek, 2021, original scientific article Abstract: Rehabilitation aids help people with temporal or permanent disabilities during the
rehabilitation process. However, these solutions are usually expensive and, consequently, inaccessible
outside of professional medical institutions. Rapid advances in software development, Internet of
Things (IoT), robotics, and additive manufacturing open up a way to affordable rehabilitation
solutions, even to the general population. Imagine a rehabilitation aid constructed from accessible
software and hardware with local production. Many obstacles exist to using such technology, starting
with the development of unified software for custom-made devices. In this paper, we address
open issues in designing rehabilitation aids by proposing an extensive rehabilitation platform. To
demonstrate our concept, we developed a unique platform, RehabHand. The main idea is to use
domain-specific language and code generation techniques to enable loosely coupled software and
hardware solutions. The main advantage of such separation is support for modular and a higher
abstraction level by enabling therapists to write rehabilitation exercises in natural, domain-specific
terminology and share them with patients. The same platform provides a hardware-independent
part that facilitates the integration of new rehabilitation devices. Experience in implementing
RehabHand with three different rehabilitation devices confirms that such rehabilitation technology
can be developed, and shows that implementing a hardware-independent rehabilitation platform
might not be as challenging as expected.
Keywords: movement observation, rehabilitation aid, assistive technology, robot-assisted rehabilitation, additive manufacturing, local production, human-computer interaction, code generation, domain-specific languages
Published in DKUM: 16.06.2025; Views: 0; Downloads: 1
Full text (2,18 MB)
This document has many files! More... |
3. Attraction basins in metaheuristics: a systematic mapping studyMihael Baketarić, Marjan Mernik, Tomaž Kosar, 2021, review article Abstract: Context: In this study, we report on a Systematic Mapping Study (SMS) for attraction
basins in the domain of metaheuristics. Objective: To identify research trends, potential issues,
and proposed solutions on attraction basins in the field of metaheuristics. Research goals were
inspired by the previous paper, published in 2021, where attraction basins were used to measure
exploration and exploitation. Method: We conducted the SMS in the following steps: Defining research
questions, conducting the search in the ISI Web of Science and Scopus databases, full-text screening,
iterative forward and backward snowballing (with ongoing full-text screening), classifying, and data
extraction. Results: Attraction basins within discrete domains are understood far better than those
within continuous domains. Attraction basins on dynamic problems have hardly been investigated.
Multi-objective problems are investigated poorly in both domains, although slightly more often
within a continuous domain. There is a lack of parallel and scalable algorithms to compute attraction
basins and a general framework that would unite all different definitions/implementations used
for attraction basins. Conclusions: Findings regarding attraction basins in the field of metaheuristics
reveal that the concept alone is poorly exploited, as well as identify open issues where researchers
may improve their research.
Keywords: attraction basin, systematic mapping study, systematic review, metaheuristics
Published in DKUM: 16.06.2025; Views: 0; Downloads: 0
Full text (5,97 MB)
This document has many files! More... |
4. Odnos generacij x, y in z do ravnanja s plastikoAmina Mehadžić, 2025, undergraduate thesis Abstract: V diplomski nalogi smo obravnavali problematiko plastičnih odpadkov in njihov vpliv na zdravje ljudi ter okolje. V teoretičnem delu smo raziskali sestavo plastike, njen dolgoročni vpliv na okolje in morebitne posledice na človekovo zdravje. Prav tako smo predstavili, kakšen odnos do okolja imajo generacije X, Y in Z. Namen naloge je bil raziskati, kakšen odnos imajo generacije X, Y in Z do ravnanja s plastiko. Za zbiranje podatkov smo uporabili anketni vprašalnik, ki nam je pomagal pri odgovarjanju na zastavljena raziskovalna vprašanja. Prišli smo do spoznanja, da sta starejši generaciji X in Y bolj pripravljeni sprejeti ukrepe za izboljšanje ravnanja s plastičnimi odpadki. V zaključku smo povzeli dosežene cilje raziskave in predlagali možnosti za nadaljnje raziskovanje na tem področju.
Keywords: plastika, mikroplastika, plastični odpadki, generacije X, Y in Z, ozaveščenost
Published in DKUM: 02.06.2025; Views: 0; Downloads: 11
Full text (1,48 MB) |
5. Overcoming stagnation in metaheuristic algorithms with MsMA’s adaptive meta-level partitioningMatej Črepinšek, Marjan Mernik, Miloš Beković, Matej Pintarič, Matej Moravec, Miha Ravber, 2025, original scientific article Abstract: Stagnation remains a persistent challenge in optimization with metaheuristic algorithms (MAs), often leading to premature convergence and inefficient use of the remaining evaluation budget. This study introduces , a novel meta-level strategy that externally monitors MAs to detect stagnation and adaptively partitions computational resources. When stagnation occurs, divides the optimization run into partitions, restarting the MA for each partition with function evaluations guided by solution history, enhancing efficiency without modifying the MA’s internal logic, unlike algorithm-specific stagnation controls. The experimental results on the CEC’24 benchmark suite, which includes 29 diverse test functions, and on a real-world Load Flow Analysis (LFA) optimization problem demonstrate that MsMA consistently enhances the performance of all tested algorithms. In particular, Self-Adapting Differential Evolution (jDE), Manta Ray Foraging Optimization (MRFO), and the Coral Reefs Optimization Algorithm (CRO) showed significant improvements when paired with MsMA. Although MRFO originally performed poorly on the CEC’24 suite, it achieved the best performance on the LFA problem when used with MsMA. Additionally, the combination of MsMA with Long-Term Memory Assistance (LTMA), a lookup-based approach that eliminates redundant evaluations, resulted in further performance gains and highlighted the potential of layered meta-strategies. This meta-level strategy pairing provides a versatile foundation for the development of stagnation-aware optimization techniques.
Keywords: optimization, metaheuristics, stagnation, meta-level strategy, algorithmic performance, duplicate solutions
Published in DKUM: 30.05.2025; Views: 0; Downloads: 3
Full text (1,47 MB) |
6. ORGANIZACIJSKI IN OKOLJSKI VIDIKI RAVNANJA Z ODPADNIMI BATERIJAMIMiha Novak, 2025, undergraduate thesis Abstract: Uporaba različnih vrst baterij stalno narašča. Zavedati se moramo, da se baterije iztrošijo in postanejo nevaren odpadek, s katerim je potrebno skrbno ravnati in jih ustrezno ločevati od preostalih odpadkov. S pravilnim ločevanjem odpadnih baterij omogočimo njihovo recikliranje in ponovno uporabo kot vir surovin za nove izdelke, kar prispeva tudi k zmanjšanju emisij. Pravilno ravnanje z odpadnimi baterijami ima tudi ekonomski pomen.
V diplomskem delu smo preučili, kako pravilno ravnanje z iztrošenimi baterijami prispeva k zmanjšanju stroškov pri proizvodnji novih baterij in zmanjšanju količine odpadkov, ki končajo na odlagališčih. Prvi korak k temu je, da odpadnih baterij ne zavržemo med mešane odpadke, temveč jih recikliramo. S pomočjo primerjalne analize smo preučili, kako ljudje razumejo uporabo in recikliranje odpadnih baterij.
Keywords: Nevarni odpadki, ločeno zbiranje, okoljska ozaveščenost
Published in DKUM: 29.05.2025; Views: 0; Downloads: 18
Full text (777,87 KB) |
7. Povezovanje civilnega in vojaškega sektorja z namenom zagotavljanja kibernetske varnosti na območju Republike Slovenije : magistrsko deloBenjamin Čehič Limoni, 2025, master's thesis Abstract: Magistrsko delo obravnava kibernetsko varnost v Republiki Sloveniji ter pomen sodelovanja civilnega in vojaškega sektorja pri njenem zagotavljanju. Kibernetski prostor je postal ključen za delovanje družbe, delovnih procesov in navsezadnje tudi za samo delovanje države, pri čemer naraščajoče število kibernetskih groženj zahteva celovite varnostne ukrepe. Republika Slovenija se pri tem sooča s številnimi izzivi, predvsem zaradi pomanjkanja strokovnega kadra na področju kibernetske varnosti in neizvajanja vseh potrebnih predpisov, izboljšave pa so potrebne tudi na področju same ureditve obravnavanja večjih incidentov. Ključne institucije za zagotavljanje kibernetske varnosti v Republiki Sloveniji predstavljajo predvsem Urad Vlade Republike Slovenije za informacijsko varnost (URSIV), Nacionalni odzivni center za kibernetsko varnost (SI-CERT), Odzivni center za incidente v informacijskih sistemih organov državne uprave (SIGOV-CERT) in Ministrstvo za obrambo Republike Slovenije, ki ob povezovanju z ostalimi nenavedenimi subjekti izvajajo zaščitne ukrepe na dotičnem področju. Republika Slovenija kot članica Evropske unije in Severnoatlantskega zavezništva – NATA sodeluje v mednarodnih iniciativah, kot sta ENISA in CCDCOE, kar prispeva k izmenjavi znanja in krepitvi obrambnih zmogljivosti. Analiza intervjujev s strokovnjaki na področju kibernetske varnosti razkriva sicer dobro sodelovanje med vojaškim in civilnim sektorjem, vendar zgolj v okviru vaj in usposabljanj, saj so, ko govorimo o reševanju kibernetskih incidentov, njihove pristojnosti popolnoma ločene. V prihodnje lahko pričakujemo še večjo potrebo po sodelovanju, predvsem pri zaščiti kritične infrastrukture in hitrem odzivanju na incidente, kjer ima pomembno vlogo tudi zakonodaja, ki mora biti prilagojena dinamičnemu okolju kibernetske varnosti.
Za učinkovito zaščito pred kibernetskimi grožnjami bo v prihodnje treba vzpostaviti še bolj konkretno koordinacijo med civilnimi in vojaškimi institucijami, izboljšati pravni okvir ter predvsem namenjati sredstva izobraževanju in ozaveščanju tako strokovnjakov kot tudi laikov na področju kibernetske varnosti. Celovit pristop in medsebojno sodelovanje vseh deležnikov sta ključna za zagotavljanje varnega digitalnega okolja v Sloveniji.
Keywords: kibernetska varnost, civilni sektor, vojaški sektor, sodelovanje, Republika Slovenija, magistrska dela
Published in DKUM: 26.05.2025; Views: 0; Downloads: 42
Full text (2,08 MB) |
8. Tackling blind spot challenges in metaheuristics algorithms through exploration and exploitationMatej Črepinšek, Miha Ravber, Luka Mernik, Marjan Mernik, 2025, original scientific article Abstract: This paper defines blind spots in continuous optimization problems as global optima that are inherently difficult to locate due to deceptive, misleading, or barren regions in the fitness landscape. Such regions can mislead the search process, trap metaheuristic algorithms (MAs) in local optima, or hide global optima in isolated regions, making effective exploration particularly challenging. To address the issue of premature convergence caused by blind spots, we propose LTMA+ (Long-Term Memory Assistance Plus), a novel meta-approach that enhances the search capabilities of MAs. LTMA+ extends the original Long-Term Memory Assistance (LTMA) by introducing strategies for handling duplicate evaluations, shifting the search away from over-exploited regions and dynamically toward unexplored areas and thereby improving global search efficiency and robustness. We introduce the Blind Spot benchmark, a specialized test suite designed to expose weaknesses in exploration by embedding global optima within deceptive fitness landscapes. To validate LTMA+, we benchmark it against a diverse set of MAs selected from the EARS framework, chosen for their different exploration mechanisms and relevance to continuous optimization problems. The tested MAs include ABC, LSHADE, jDElscop, and the more recent GAOA and MRFO. The experimental results show that LTMA+ improves the success rates for all the tested MAs on the Blind Spot benchmark statistically significantly, enhances solution accuracy, and accelerates convergence to the global optima compared to standard MAs with and without LTMA. Furthermore, evaluations on standard benchmarks without blind spots, such as CEC’15 and the soil model problem, confirm that LTMA+ maintains strong optimization performance without introducing significant computational overhead.
Keywords: optimization, metaheuristics algorithm, algorithmic performance, duplicate solutions, nonrevisited solutions, blind spots, LTMA
Published in DKUM: 19.05.2025; Views: 0; Downloads: 2
Full text (4,16 MB) |
9. Posodobitve študijskih vsebin s primeri dobrih inženirskih praks v avtomatizaciji : diplomsko deloKlemen Jernejc, 2025, undergraduate thesis Abstract: Diplomska naloga opisuje osnovne in pogoste primere uporabe programirljivih logičnih krmilnikov, ki jih srečamo v industriji ter običajno uporabljene elemente, ki jih vežemo nanj kot so senzorji in aktuatorji. Razložena je splošna zgradba različnih logičnih krmilnikov ter njihov priklop in povezava na osebni računalnik. S preprostimi aplikacijami in z orodjem za programiranje kot je TIA Portal, je razloženo delovanje digitalnih vhodov, digitalnih izhodov, analognih vhodov in analognih izhodov. Za vsakega od posameznih so navedeni najbolj tipični elementi za priključitev, ter njihove vezalne sheme. Objasnjena je tudi komunikacija človek – stroj s praktičnim primerom.
Keywords: krmilnik, programiranje, senzorji, aktuatorji, komunikacija
Published in DKUM: 08.05.2025; Views: 0; Downloads: 39
Full text (10,12 MB) |
10. Daljinsko in porazdeljeno vodenje s pomočjo OPC UA vmesnika : diplomsko deloKevin Furman, 2025, undergraduate thesis Abstract: Diplomsko delo preučuje uporabo protokola OPC UA za povezovanje industrijskih naprav, tako komercialnih kot odprtokodnih rešitev. Namen je bil preizkusiti delovanje OPC UA v različnih okoljih, vključno z integracijo v SKADA sistem iFIX in mobilnimi aplikacijami. Uporabljene metode vključujejo konfiguracijo OPC UA strežnikov in odjemalcev ter prenos podatkov prek različnih naprav. Rezultati kažejo, da OPC UA omogoča učinkovito povezovanje, vendar zahteva optimizacijo za realno-časovne aplikacije. Priporočila vključujejo izboljšanje interoperabilnosti in podpore za novejše OPC UA FX.
Keywords: avtomatizacija, PLK, OPC UA vmesnik, SCADA sistemi, komunikacijski protokoli, Raspberry Pi
Published in DKUM: 08.05.2025; Views: 0; Downloads: 15
Full text (2,04 MB) |
