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1.
Exploring the development of Slovenian sociological science : ontology analysis of scientific bibliographical data
Tamara Besednjak Valič, Erika Džajić Uršič, 2025, izvirni znanstveni članek

Opis: One way to demonstrate the research focus and progress in a scientific field is through scientific publishing. Scientific articles are a starting point for analyzing the main topics, concerns, and author networks within a specific domain. This way, we can track the development of the discipline. Through publications, researchers create narratives that reveal the direction and development of specific disciplines. These narratives help form scientific paradigms. The main goal of this article is to detect and discuss the development of predominant scientific topics in particular period of Slovenian sociological science. The analysis starts with the emergence of the transition process from non-democratic Yugoslavia towards the independent Republic of Slovenia and onwards to contemporary times. We analyzed 774 scientific articles published between 1984 and 2022 in the journal Social Science Forum, which had an impact factor of 0.175 in 2022. The findings indicate that Slovenian sociologists’ research interests reflect historical transformations – from the transition to independence to EU accession. We use ontology-based analysis with OntoGen to track these thematic shifts systematically. This positions our work as a localized application of established text-mining approaches. The method applied allows us to uncover patterns of knowledge production tied to key sociopolitical moments in Slovenian history.
Ključne besede: Slovenian sociology, bibliographical data, OntoGen, concept, ontology creation
Objavljeno v ReVIS: 12.06.2025; Ogledov: 155; Prenosov: 5
.pdf Celotno besedilo (1,62 MB)
Gradivo ima več datotek! Več...

2.
Bridging perceived and actual data quality : automating the framework for governance reliability
Tomaž Podobnikar, 2025, izvirni znanstveni članek

Opis: The discrepancy between perceived and actual data quality, shaped by stakeholders’ interpretations of technical specifications, poses significant challenges in governance, impacting decision-making and stakeholder trust. To address this, we introduce an automated data quality management (DQM) framework, implemented through the NRPvalid toolkit, as a standalone solution incorporating over 100 assessment tools. This framework strengthens data quality evaluation and stakeholder collaboration by systematically bridging subjective perceptions with objective quality metrics. Unlike traditional producer–user models, it accounts for complex, multi-stakeholder interactions to improve data governance. Applied to planned land use (PLU) data, the framework significantly reduces discrepancy, as quantified by error score metrics, and directly enhances building permit issuance by streamlining interactions among administrative units, municipalities, and investors. By evaluating, refining, and seamlessly integrating spatial data into the enterprise spatial information system, this scalable, automated solution supports constant data quality improvement. The DQM and its toolkit have been widely adopted, promoting transparent, reliable, and efficient geospatial data governance.
Ključne besede: perceived and actual data quality, data quality management, DQM, quality assurance/quality control, QA/QC, spatial data quality, data quality standards, data governance, planned land use, automation, uncertainty management, geospatial
Objavljeno v ReVIS: 14.04.2025; Ogledov: 294; Prenosov: 1
.pdf Celotno besedilo (9,08 MB)

3.
A framework for bridging perceived and actual quality through automation : strengthening data reliability and governance
Tomaž Podobnikar, 2025, drugi sestavni deli

Opis: Following spatial data capture, stakeholders often invest significant resources to meet technical specifications. This challenge arises largely from varying interpretations of established standards, resulting in data that fails to meet the requirements for ingestion into the enterprise geospatial ecosystem. A key issue lies in the discrepancy between perceived data quality – how stakeholders understand or interpret the performance of the data, which is aligned with technical specifications – and actual data quality, which reflects objective performance when properly measured. The proposed data quality management (DQM) framework addresses this discrepancy by focusing on key aspects of spatial data quality, with an automated program playing a central role in bridging this divide. The framework enhances stakeholder communication and significantly improves the reliability of data governance by providing a comprehensive evaluation of data quality. This evaluation with the outputs combining error presentation through statistics, georeferenced files, and visualization enables rapid interpretation and error resolution. When applied to planned land use (PLU) data, this solution improved efficiency, enhanced overall data quality, and ensured seamless integration into the enterprise Spatial information system. This resulted in a higher level of maturity in data quality management.
Ključne besede: quality assurance/quality control (QA/QC), continuous process improvement, spatial data quality, data steward, data governance, planned land use data, perceived vs. actual data quality, geospatial, data quality management (DQM), uncertainty management
Objavljeno v ReVIS: 14.04.2025; Ogledov: 344; Prenosov: 2
.pdf Celotno besedilo (2,66 MB)

4.
Patterns discovery in Slovenian public spending : a data-driven approach to corruption detection
Jelena Joksimović, 2023, doktorska disertacija

Opis: Corruption is a pervasive societal issue, entailing the misuse of public authority for personal benefits. Traditionally, corruption was estimated via perception surveys, which rely on probing the individuals about their views on corruption rather than directly measuring it. Such assessments encounter challenges in accurately capturing corruption and often diverge from actual corruption levels. Recent advancements in data collection, spurred by calls for transparency in public institutions and fueled by enhanced computational and storage capabilities, opened unprecedented opportunities for a far more precise analysis of corruptive processes. By quantitatively analyzing concrete datasets, such as transactions between public sector and private companies, contractual documents, public procurement records, bid outcomes, and healthcare product prices, novel avenues emerged for both addressing and predicting corruption. These scientific endeavors aim to discover the best policies to mitigate corruption and rebuild trust in public institutions. This doctoral dissertation pioneers this novel approach, forging a collaborative partnership with the Commission for the Prevention of Corruption in Slovenia (CPC). Harnessing state-of-the-art data mining, statistical analysis, and machine learning, we analyze a large CPC’s datasets detailing 17 years of public spending on private companies and reported receiving of gifts to public officials. We uncover an array of findings along three research directions: 1. We reveal the presence of self-organizing principles that govern Slovenian public expenditure. Such mechanisms are usually observed in more orderly (e.g. physical) systems and come across as surprising in this context, where interactions are dominated by human factors. 2. We construct an interactive framework tailored for CPC's use. It enables quick identification of suspicious private companies whose revenues from public sources exhibit visible disparities that correlate with changes of the government. 3. Finally, employing natural language processing, we uncover how seemingly innocent ceremonial gifts can foster favoritism and enable misuse of public positions for personal gains. We illustrate the disparities between the laws regulating gift reporting and the actual practices. In conclusion, this research contributed: (i) new computational methods for data-driven analysis of corruption, and (ii) better understanding of societal processes that govern public spending in Slovenia. Our work delivers valuable recommendations to governmental, public, and administrative bodies. We hope these insights will bolster the use of transparent public data as the key tool in the fight against corruption.
Ključne besede: corruption, public spending, gift reporting, transparency, data mining, time series, unsupervised learning
Objavljeno v ReVIS: 17.02.2025; Ogledov: 536; Prenosov: 19
.pdf Celotno besedilo (6,92 MB)

5.
The Effectiveness of European Union regional policies : a longitudinal review
Alenka Pandiloska Jurak, 2024, samostojni znanstveni sestavek ali poglavje v monografski publikaciji

Opis: To improve the economic well-being of regions to avoid regional disparities in the EU, the EU sets the Cohesion Policy to boost regions that are lacking behind. The aim of this paper is to make an overview of regions and their eligibility for Cohesion funds, compare selected statistical data and see if progress can be detected by the longitudinal figures alone. With a general overview of the regional progress in various areas, such as GDP, poverty and employment, we will outline how and if overall retention of regional policies indicates a general rise in the backlog of less developed regions.
Ključne besede: EU, Cohesion policy, statistical data, policy implementation
Objavljeno v ReVIS: 11.02.2025; Ogledov: 412; Prenosov: 0

6.
Hyperbolic metric learning in machine learning algorithms for application in oncology : doctoral dissertation
Alenka Trpin, 2024, doktorska disertacija

Opis: Machine learning (ML), a subset of artificial intelligence (AI), enables systems to autonomously learn and adapt without continuous human supervision, leveraging algorithms to process data, identify patterns, and refine performance through experience. This adaptive, selfteaching capability allows ML models to enhance their predictive accuracy and efficiency, making them suitable for dynamic and complex tasks. This dissertation introduces a novel approach to independent and efficient image classification, combining elements from convolutional neural networks (CNNs), hyperbolic geometry, and feature extraction. Unlike existing methods that typically rely on one of these techniques, our integrated approach merges their strengths to achieve superior performance. Additionally, we developed derivative methods based on the original approach, which enhanced capabilities in embedding data in space. All proposed techniques were empirically evaluated on both image and numerical datasets, consistently demonstrating superior performance when compared to baseline methods. Comparative analysis confirmed that our approach achieves higher classification accuracy than traditional techniques. Given the critical role of accurate and efficient diagnostic tools in oncology, where vast amounts of data from various patient examinations need to be processed, the development of robust algorithms is essential for effective cancer diagnosis and treatment. This dissertation specifically addresses cancer image classification, focusing on the differentiation between benign and malignant lesions – an essential task for early cancer detection and treatment. Empirical results showed that embedding the data in a hyperbolic space, combined with the method for metric learning Large Margin Nearest Neighbours (LMNN) method and the use of Poincaré distance in the k-Nearest Neighbours (kNN) algorithm, yielded comparable or superior results compared to traditional classification techniques. Our findings highlight the potential of hyperbolic embeddings and metric learning approaches to advance image classification in oncology, offering a promising direction for further research and clinical applications.
Ključne besede: cancer images, convolutional neural network, embedding data, hyperbolic geometry, image classification, k-nearest neighbours method
Objavljeno v ReVIS: 08.01.2025; Ogledov: 556; Prenosov: 30
.pdf Celotno besedilo (6,67 MB)

7.
A novel approach to aviation data links and data exchange between aircraft modules : doctoral dissertation
Ilija Subotić, 2023, doktorska disertacija

Opis: Aviation industry is a key driver of global economic development with over a third of all trade by value sent by air. It represents a highly significant global market with estimated revenue over 840 billion USD in 2023, while the industry directly and indirectly supports an estimated $3.5 trillion (4.1%) of the world's gross domestic product (GDP) through the jobs and services of air industry suppliers, employee spending and serving industries such as tourism. Due to increasing global air passenger demand, the global aviation industry is projected to grow by approximately 25% from 2022 to 2027. However, in some cases the operation of aircraft may still be reliant on outdated technology that could be years or even decades old. Due to safety concerns, the global system of civil aviation is one of the most regulated industries, and every new procedure, technological advancement or device is required to be thoroughly checked by licensed institutions, numerous experts and aviation regulatory authorities. This reasonable approach inevitably leads to difficulties when dealing with noticed problems in any particular field – whether these are flight operations, aircraft maintenance, corporate affairs or general compliance. One of these problems are aircraft communications and data transfers between aircraft and all other groundbased stations. Namely, apart from classical radio links for voice communications, digital radio links for data transmissions have been used for a few decades now. These are ACARS (Aircraft Communications, Addressing and Reporting System) and CPDLC (Controller-Pilot Data Link Communications). These aeronautical communications data links use HF/VHF links and, alternatively, over areas with no or with poor signal coverage, commercial data satellites. However, there are several fundamental problems with data link systems implemented this way. The first problem is that the authenticity of the messages being exchanged cannot be verified. Potential attackers can, without much effort, falsify messages or even pose as a legitimate air traffic control unit or an aircraft crew. Another problem lies in the available bandwidth for VHF data links and the possible maximum transmission speeds reachable: the data transmission speed of VHF channels is very low - usually around 15 Kbit/s, and the best achievable results barely exceed 30 Kbit/s. In addition, the third major problem is message delivery, which is not guaranteed to succeed. There were indeed cases when the sent message did not reach the desired destination or arrived after a long delay of even several minutes. Aside from the mentioned problems, there are still issues related to specific aspects of the used HF/VHF data transmission links, such as signal stability, switching between individual ground radio stations, signal coverage issues etc. Therefore, in this dissertation, the main motive is to explore alternatives and find ways to solve at least some of these problems. The research in this dissertation is based on the usage of the Internet for the transmission of messages, instead of the previous radio data links. During the research it was concluded that the cellular Internet connection, even in today's technically inadequate state in the means of aeronautical needs, meets the conditions to be used as a medium for CPDLC and ACARS connections at flight altitudes up to 10,000 ft. Another goal of the research is to consider and develop the possibility of integrating the CPDLC and ACARS systems into one platform, codenamed IACARP (Integrated Aeronautical Communications, Addressing and Reporting Platform), which would provide the possibility to increase the number of functions and capabilities of both systems. The third intention of the dissertation is to propose and develop a dedicated communication protocol, which will be based on the Internet as a medium for data transmission, which will allow the IACARP platform to use a protocol that is adapted for use in aeronautical operations. In addition to the communications protocol, the dissertation also provides a possible solution for the authentication problem of messages sent within the system, in a way that does not require encryption of those messages. The proposed solution represents a new algorithm for generating a special short code based on which the authenticity of the messages is confirmed. The possibilities of automatically sending individual reports from certain vital aircraft systems to the air traffic control units are also being considered, through the proposed IACARP system. This way of integrating the components yielded another possibility which is thoroughly considered, and that is the remote control of the aircraft by ATC units in cases of emergency situations. Remote control of the aircraft in this way can most likely be achieved since there is a significant number of aircraft equipped with systems that can land them automatically, without much human intervention. Hence, it would be enough to just remotely reprogram the FMC (Flight Management Computer), enter a new flight route that would initiate landing at a suitable airport, as well as to remotely monitor and control the state of vital aircraft systems by giving the appropriate command through the IACARP platform. As the final part of the dissertation, the conclusions and the decision to accept or reject the hypotheses are presented, along with some perspectives and ideas for further research in this area.
Ključne besede: aeronautical data links, cellular networks, CPDLC, ACARS, air traffic control, message authentication, dedicated communications protocol, doctoral dissertation
Objavljeno v ReVIS: 15.03.2024; Ogledov: 1363; Prenosov: 40
.pdf Celotno besedilo (13,29 MB)

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9.
Paternity suit : bachelor thesis
Kazim Umut Toker, 2018, diplomsko delo

Opis: This study focuses on the paternity suit which is one of the ways to establish the paternity between the natural child and his/her father. The aim of this study is to emphasize the importance of paternity suit and examine the reforms on paternity suit brought about by Turkish Civil Code, no. 4721. Within the scope of the study, the statements and opinions of the doctrine mentioned, the changes made in the legislation during the process were emphasized, comparisons were made with the Turkish Civil Code no. 743 and Supreme Court's decisions on the concerned portions were included. The paternity between the natural child and the father was subject to the same provisions as the relationship between the legitimate child and the father at this point after the regulations were made. Paternity suit, which is considered to be a retroactive constitutive lawsuit, aims to establish a paternity (lineage) relationship between the natural child and the father. The mother can claim material and immaterial compensation apart from or along with the paternity suit from the father or his successors. The plaintiff of the paternity suit is either the mother or the child; the defendant is the father or his successors if he is deceased. The suit is notified to the public prosecutor and the treasury, to the trustee if it is filed by the mother, to the mother if it is filed by the trustee. Those who are notified of the case, are allowed participation in the proceedings as a secondary intervening party or they can also remain indifferent. Paternity suit is filed in a one-year period of prescription as of the date of birth, at the Civil Court of First Instance located in the parties' residential area when the child is born if the parties reside in Turkey. Moreover, the law issued presumption of paternity in favour of the plaintiff. However; the plantiff may confute and rebut this presumption. In the cases where the presumption is nondemonstrable, either the mother or the child must directly prove the paternity of the plaintiff. The principle of ex officio examination is effective in paternity suit. Therefore, the judge freely appraises the demonstrations. The presumption of paternity, may be proven by cognisance, brief, definitive judgment and any kind of proof; however, it is impossible to tender an oath. Paternity, on the other hand, may be proven by expert examining. Experts determine paternity by full blood examination and similarity examination. DNA tests, a type of full blood examinations, are a much more reliable method for the determination of paternity compared to blood groups and similarity examinations. Thus, the determination of paternity through DNA tests is accurate. Paternity suit can be called off if the plaintiff withdraws the lawsuit. However; the lawsuit does not terminate when the defendant accepts the lawsuit and there is not a possibility of settlement of claim. In the event that the defendant's paternity is determined in the paternity suit, the child takes the mother's surname; earns the citizenship and heirship of the father. As a rule, the mother has the custody of the child. The mother and the father cover the maintenance and education expenses of the child. The mother and the father are obliged to help, respect and understand each other, which is required for the peace and integrity of the family. Whether or not it is possible to renew the adjudication is clear after the verdict was given, by taking into account the data obtained by the methods such as DNA tests and so on, against a verdict that was definitive by the end of the paternity suit in a period where these methods were not used.
Ključne besede: paternity suit, medical data, Turkish civil code, family law, civil law, ugotavljanje očetovstva, družinsko pravo, civilno pravo
Objavljeno v ReVIS: 19.03.2020; Ogledov: 3892; Prenosov: 118
.pdf Celotno besedilo (762,47 KB)

10.
Uporaba markovskih verig v generiranju algoritmične kompozicije v programskem jeziku Pure Data : diplomska naloga
Lorena Mihelač, 2015, diplomsko delo

Opis: Cilj diplomske naloge je ustvariti algoritem za ustvarjanje nove algoritmične kompozicije s pomočjo stohastičnega procesa, metode markovskih verig prvega in drugega reda ter programskega jezika Pure Data. Za podlago bosta uporabljeni dve MIDI-datoteki, avtorska skladba Etuda, prvi stavek iz Beethovnove Mondschein sonate ter pet glasbenih nizov. Pri ustvarjanju algoritmične kompozicije bosta preizkušena dva pristopa, in sicer samostojno računalniško generiranje algoritmične kompozicije ter interaktivno soustvarjanje algoritmične kompozicije, kar pomeni določeno poseganje avtorja v algoritem zaradi večje umetniške vrednosti ustvarjene skladbe. Namen uporabe teh dveh različnih pristopov je v tem, da se ugotovi, koliko je pridobljeni primerek algoritmične skladbe lep/sprejemljiv/dober in kateri primerek algoritmične kompozicije je bolj sprejemljiv in zanimiv: primerek, ki ga je ustvaril stroj – računalnik ali primerek, ki je posledica soustvarjanja (človek in stroj – računalnik).
Ključne besede: algoritem, algoritmična kompozicija, markovske verige, Pure Data
Objavljeno v ReVIS: 22.08.2018; Ogledov: 4851; Prenosov: 129
.pdf Celotno besedilo (2,57 MB)

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