1. The impact of information systems on project success in a hybrid work environment: evidence from the world's largest consulting firmMarko Samardzic, Teodora Vuckovic, Danijela Ciric Lalic, Iztok Palčič, Uglješa Marjanović, 2025, original scientific article Abstract: This study investigated the impact of information systems (IS) success on Project Success (PS) within hybrid and remote work environments, drawing empirical evidence from the world's largest consulting firm. By integrating the DeLone and McLean IS success model with established PS frameworks, the research examined how IS components—system quality, user satisfaction, and use/ intent to use—influence key PS dimensions: project management success, impact on the team, impact on the customer, and project investment success. Data from 198 employees were analyzed using structural equation modeling, confirming all hypothesized relationships. Results revealed that IS net benefits significantly enhance PS across all dimensions, while system quality and user satisfaction further drive IS effectiveness. The study underscores the critical role of robust digital infrastructure in optimizing project outcomes, offering theoretical insights and practical recommendations for organizations navigating hybrid work models. Limitations and future research directions are also discussed.
Keywords: hybrid work environment, DeLone and McLean model, structural equation modeling, remote work, digital transformation, system quality, user satisfaction, net benefits, project management
Published in DKUM: 03.11.2025; Views: 0; Downloads: 6
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2. Razvoj spletne igre za risanje s podporo realno-časovne komunikacije z uporabo tehnologije signalrTilen Kričaj, 2025, undergraduate thesis Abstract: Spletne večigralske igre, ki temeljijo na sodelovanju in interakciji med igralci v realnem času, zahtevajo učinkovite rešitve za sinhronizacijo podatkov in hitro izmenjavo sporočil med odjemalci in strežnikom. Diplomsko delo obravnava razvoj spletne igre za risanje in ugibanje pojmov, pri čemer je poudarek na uporabi knjižnice SignalR za vzpostavitev stabilne in odzivne realnočasovne komunikacije. Predstavljene so osnovne tehnologije za prenos podatkov v realnem času, kot so WebSockets, Server-Sent Events in long polling. Opisana sta postopka načrtovanja in implementacije tako strežniškega kot odjemalskega dela aplikacije ter sinhronizacija risbe med več uporabniki.
Keywords: spletna igra, realno časovna komunikacija, SignalR, WebSocket, Server-Sent Events, long polling, ASP.NET
Published in DKUM: 23.09.2025; Views: 0; Downloads: 4
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3. Mobilna aplikacija za sestavljanje osebnih programov telesne vadbeDomen Šincek Nedeljković, 2025, undergraduate thesis Abstract: Diplomsko delo obravnava načrtovanje in razvoj mobilne aplikacije za sestavljanje osebnih programov telesne vadbe. Na osnovi analize strokovne literature in obstoječih aplikacij smo opredelili ključne parametre, ki so potrebni za ustrezno personalizacijo telesne vadbe, ter potrebne funkcionalnosti, kot so upoštevanje razpoložljive opreme, počutja in morebitnih poškodb, animiran prikaz izvajanja vaj in prikaz aktiviranih mišičnih skupin posameznega programa in vaje. Aplikacija vključuje tudi podporo na osnovi umetne inteligence za odgovore na morebitna vprašanja uporabnika. Razvoj je potekal v .NET MAUI z uporabo MySQL baze.
Keywords: telesna vadba, mobilna aplikacija, umetna inteligenca, .NET MAUI
Published in DKUM: 04.09.2025; Views: 0; Downloads: 5
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4. The impact of wind power plant size on economic viability at the Ojstrica locationAndraž Roger, Matej Fike, 2025, professional article Abstract: Wind energy in Slovenia has not yet achieved a significant share in the energy resource mix, due primarily to the limited number of suitable locations and opposition from local communities. Nevertheless, interest in wind power plants is increasing, as they represent significant potential for utilising renewable energy sources. The paper analyses the economic viability of wind farm installation and electricity production at the proposed Ojstrica site in the Dravograd Municipality. Two scenarios were considered, involving wind turbines with capacities of 3.5 MW and 7 MW. Based on wind speed data, turbine power curves, and an electricity selling price of 75 EUR/MWh, the study calculated the maximum investment costs for each turbine type to ensure economic viability under the condition of a net present value (NPV) equal to zero. The results show that the maximum allowable investment is 5.99 million EUR for the 3.5 MW turbine and 15.60 million EUR for the 7 MW turbine.
Keywords: Ojstrica, wind turbines, economic viability, renewable energy, net present value
Published in DKUM: 16.06.2025; Views: 0; Downloads: 10
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5. State-of-the-art cross-platform mobile application development frameworks : a comparative study of market and developer trendsGregor Jošt, Viktor Taneski, 2025, review article Abstract: Cross-platform mobile application development has gained significant traction in recent years, driven by the growing demand for efficient, cost-effective solutions that cater to both iOS and Android platforms. This paper presents a state-of-the-art review of crossplatform mobile application development, emphasizing the industry trends, framework popularity, and adoption in the job market. By analyzing developer preferences, community engagement, and market demand, this study provides a comprehensive overview of how cross-platform mobile development frameworks shape the mobile development landscape. The research employs a data-driven methodology, drawing insights from three key categories: Developer Sentiment and Survey Data, Community Engagement and Usage Data, and Market Adoption and Job Market Data. By analyzing these factors, the study identifies the key challenges and emerging trends shaping cross-platform mobile application development. It assesses the most widely used frameworks, comparing their strengths and weaknesses in real-world applications. Furthermore, the research examines the industry adoption patterns and the presence of these frameworks in job market trends. Unlike earlier research, which included now-obsolete platforms like Windows Phone and frameworks such as Xamarin, this study is tailored to the current cross-platform mobile application development market landscape. The conclusions offer actionable insights for developers and researchers, equipping them with the knowledge needed to navigate the evolving cross-platform mobile application development ecosystem effectively.
Keywords: cross-platform mobile application development, flutter, react native, .NET MAUI, mobile app engineering, framework evolution, performance optimization, developer experience, job market trends
Published in DKUM: 29.05.2025; Views: 0; Downloads: 2
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6. Razvoj aplikacije peoplehubDin Dobrnjič, 2025, undergraduate thesis Abstract: V diplomski nalogi je predstavljen razvoj aplikacije PeopleHub, ki omogoča digitalizacijo in optimizacijo upravljanja potnih nalogov. Sodobne tehnologije, ki so uporabljene v aplikaciji, kot so Angular, .NET in Microsoft SQL, poenostavijo proces razvoja aplikacije in uporabniku kreiranje, odobravanje, obračunavanje in arhiviranje potnih nalogov. Aplikacija omogoča tudi avtomatski izračun dnevnic, upravljanje slik in generiranje PDF dokumentov. Predstavljen je model podatkov z ER diagramom in model procesov z diagramom BPMN. Aplikacija izboljšuje preglednost, zmanjšuje napake in administrativno obremenitev ter povečuje učinkovitost podjetij pri upravljanju potnih nalogov.
Keywords: razvoj aplikacije, potni nalog, Angular, .NET, Microsoft SQL, Azure
Published in DKUM: 29.05.2025; Views: 0; Downloads: 15
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7. Cephalometric landmark detection in lateral skull X-ray images by using improved spatialconfiguration-netMartin Šavc, Gašper Sedej, Božidar Potočnik, 2022, original scientific article Abstract: Accurate automated localization of cephalometric landmarks in skull X-ray images is the
basis for planning orthodontic treatments, predicting skull growth, or diagnosing face discrepancies.
Such diagnoses require as many landmarks as possible to be detected on cephalograms. Today’s
best methods are adapted to detect just 19 landmarks accurately in images varying not too much.
This paper describes the development of the SCN-EXT convolutional neural network (CNN), which
is designed to localize 72 landmarks in strongly varying images. The proposed method is based
on the SpatialConfiguration-Net network, which is upgraded by adding replications of the simpler
local appearance and spatial configuration components. The CNN capacity can be increased without
increasing the number of free parameters simultaneously by such modification of an architecture.
The successfulness of our approach was confirmed experimentally on two datasets. The SCN-EXT
method was, with respect to its effectiveness, around 4% behind the state-of-the-art on the small ISBI
database with 250 testing images and 19 cephalometric landmarks. On the other hand, our method
surpassed the state-of-the-art on the demanding AUDAX database with 4695 highly variable testing
images and 72 landmarks statistically significantly by around 3%. Increasing the CNN capacity
as proposed is especially important for a small learning set and limited computer resources. Our
algorithm is already utilized in orthodontic clinical practice.
Keywords: detection of cephalometric landmarks, skull X-ray images, convolutional neural networks, deep learning, SpatialConfiguration-Net architecture, AUDAX database
Published in DKUM: 27.03.2025; Views: 0; Downloads: 11
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8. Deeply-supervised 3D convolutional neural networks for automated ovary and follicle detection from ultrasound volumesBožidar Potočnik, Martin Šavc, 2022, original scientific article Abstract: Automated detection of ovarian follicles in ultrasound images is much appreciated when
its effectiveness is comparable with the experts’ annotations. Today’s best methods estimate follicles
notably worse than the experts. This paper describes the development of two-stage deeply-supervised
3D Convolutional Neural Networks (CNN) based on the established U-Net. Either the entire U-Net
or specific parts of the U-Net decoder were replicated in order to integrate the prior knowledge into
the detection. Methods were trained end-to-end by follicle detection, while transfer learning was
employed for ovary detection. The USOVA3D database of annotated ultrasound volumes, with its
verification protocol, was used to verify the effectiveness. In follicle detection, the proposed methods
estimate follicles up to 2.9% more accurately than the compared methods. With our two-stage CNNs
trained by transfer learning, the effectiveness of ovary detection surpasses the up-to-date automated
detection methods by about 7.6%. The obtained results demonstrated that our methods estimate
follicles only slightly worse than the experts, while the ovaries are detected almost as accurately as
by the experts. Statistical analysis of 50 repetitions of CNN model training proved that the training
is stable, and that the effectiveness improvements are not only due to random initialisation. Our
deeply-supervised 3D CNNs can be adapted easily to other problem domains.
Keywords: 3D deep neural networks, 3D ultrasound images of ovaries, deep supervision, detection of follicles and ovaries, U-Net based architecture
Published in DKUM: 27.03.2025; Views: 0; Downloads: 11
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9. Sistem za nadzor dostopa na delovnem mestuLeo Orešnik, 2024, undergraduate thesis Abstract: Nadzor dostopa igra pomembno vlogo pri vidiku varnosti delovnega mesta oziroma podjetja ter v vsakodnevnem življenju. V teoretičnem delu tega diplomskega dela smo preštudirali koncepte za nadzor dostopa. V praktičnem delu smo načrtali in implementirali zanesljiv ter enostavno razširljiv sistem za nadzor dostopa. Svojo rešitev temeljimo na strojni opremi podjetja ZKTeco. Uporabili smo sodobno tehnologijo, kot sta razvojni okolji .NET in Angular, podatkovno bazo MySQL ter programska jezika C# in TypeScript. Z njimi smo razvili strežnik oziroma API, dostop do podatkovne baze, servis Windows in spletni uporabniški vmesnik. Uporabniški vmesnik smo zasnovali in prilagodili na osnovi povratnih informacij uporabnikov. Naloga združuje več področij računalništva, kot so integracija strojne opreme, spletne in omrežne tehnologije ter načrtovanje in upravljanje podatkovnih baz. Implementirano rešitev smo izčrpno ročno testirali s pomočjo vnaprej pripravljenih testnih primerov.
Keywords: nadzor dostopa, strojna oprema ZKTeco, .NET, Angular
Published in DKUM: 23.12.2024; Views: 0; Downloads: 51
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10. Razvoj sistema CryMatch za povezovanje igralcev tekmovalnih iger : magistrsko deloAdam Veselič, 2024, master's thesis Abstract: V magistrskem delu smo izdelali sistem za povezovanje igralcev tekmovalnih iger, ki
zadošča večini zahtev uporabnikov. Je hkrati enostavnejši za uporabo in hitrejši v
povezovanju igralcev kot obstoječa odprtokodna rešitev OpenMatch. Prav tako nas ne
omejuje na tehnologijo Kubernetes in programski jezik Go. Nudi nam več možnosti
vzpostavitve na več platformah. Nazadnje smo še poskrbeli, da je sistem razširljiv s
podporo nalaganja knjižnic, ki jih lahko razvijemo v katerem koli programskem jeziku.
Keywords: porazdeljeni sistemi, igre, povezovanje igralcev, .NET
Published in DKUM: 03.06.2024; Views: 177; Downloads: 45
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