Iskanje po katalogu digitalne knjižnice

Opis: The proceedings of the thirty-third conference EJC 2023 combine the experience and knowledge of the experts working and different research fields of Information modelling, Conceptual modelling, Knowledge and information modelling and discovery, Linguistic modelling, Cross-cultural communication and social computing, Environmental modelling and engineering, and Multimedia data modelling and systems.
Ključne besede: conceptual modelling, knowledge modelling, information modelling, linguistic modelling, cross-cultural communication, social computing, environmental modelling, multimedia data modelling
Objavljeno v DKUM: 02.06.2023; Ogledov: 20; Prenosov: 0
Celotno besedilo (30,92 MB)
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Opis: This doctoral dissertation presents the results of an extensive fracture testing programme of welds with pronounced strength heterogeneity. Purpose of this programme was to determine fracture toughness of heterogeneous welds that contain a midplane crack. Application of standardized fracture testing methods in heterogeneous welds might lead to overestimation or underestimation of fracture toughness and consequentially to inaccurate assessment of structural integrity. Reasons for that are variations in mechanical properties of different material regions in the weld which have a significant impact on development of deformation at the crack tip, and consequently on the crack driving force. Experimental procedures in scope of this research include fabrication of weld sample plates, that were welded with MAG process. The welds were fabricated using two different electrodes, one with higher and one with lower mechanical properties, with respect to base material S690QL in order to replicate extreme variations of mechanical properties in the weldment. Fabricated welds were then characterized in detail using metallography, three-point bend impact testing, indentation hardness measurements and tensile testing of flat miniature and round bar standard tensile specimens. Resistance of welds to stable tearing was investigated by fracture testing of square surface cracked SE(B) specimens containing a weld midplane notch. J-integral has been estimated from plastic work, using the normalization data reduction method that is included in standard ASTM E1820. The advantage of the normalization data reduction method is that no special equipment or complex testing method is needed to measure ductile crack growth during fracture testing. The ductile crack growth is determined directly from the load-displacement record, by applying appropriate calibration function and physical lengths of initial and final cracks that were measured post-mortem with the nine-point method. Several correction factors had to be calibrated in order to successfully implement the normalization data reduction method to fracture testing of welds with pronounced strength heterogeneity. For that reason, parametric finite element analyses were conducted for several weld configurations. Finite element models incorporated plane strain conditions in order to provide calibrated factors that comply with plane strain equations included in ASTM E1820. Additionally, crack tip constraint has been extensively analysed and correlated with the plastic deformation fields. This clarified altered deformation behaviour of modelled welds in comparison with the base material and corresponding effect on fracture toughness. Finally, calibrated factors were applied to computation of J-integral from data that were measured during fracture testing. J-R resistance curves were constructed for the tested heterogeneous welds and compared to the ones of the base material. This directly showed the effect of variations of mechanical properties on the weld fracture behaviour.
Ključne besede: weld, strength mismatch, fracture, normalization data reduction technique, plastic correction factors, test fixture, SE(B) specimen, J-R resistance curve
Objavljeno v DKUM: 10.01.2023; Ogledov: 239; Prenosov: 89
Celotno besedilo (20,57 MB)

Opis: Background and purpose: The study aims to answer a research question: With which essential cornerstones technological innovations the transformation from Society 4.0 and Industry 4.0 to Society 5.0 and Industry 5.0 is enabled? The study is important for practitioners and researchers to understand the meaning of Society 5.0 and to familiarise themselves with the drivers that will help shape Society 5.0 policies and play an important role in its further development. Therefore, the authors conducted a quantitative bibliometric study that provides insights into the importance of the topic and incorporates current characteristics and future research trends. Methodology: The study used algorithmic co-occurrence of keywords to gain a different insight into the evolution of Society 5.0. Thirty-six selected articles from the Web of Science database were analysed with the bibliometric analysis and overlay visualisation. Results: The co-occurrence analysis shows that terms artificial intelligence, cyber-physical systems, big data, Industry 4.0, Industry 5.0, open innovation, Society 5.0, super-smart society have been widely used in researches in the last three years. Conclusion: The study presents a bibliometric analysis to analyse the current and future development drivers of a Society 5.0. According to the results, the transition from Society 4.0 to Society 5.0 can be achieved by implementing knowledge and technologies in the IoT, robotics, and Big Data to transform society into a smart society (Society 5.0). In particular, the concept would enable the adaptation of services and industrial activities to individuals’ real needs. Furthermore, these technologies allow advanced digital service platforms that will eventually be integrated into all areas of life.
Ključne besede: society 5.0, industry 5.0, information society, smart society, data-driven innovations
Objavljeno v DKUM: 15.09.2022; Ogledov: 222; Prenosov: 7
Povezava na datoteko

Opis: The Bled eConference, organised by the University of Maribor, Faculty of Organizational Sciences, has been shaping electronic interaction since 1988. After 2 years COVID-19 pandemic, when the conference was held online, this year we met again in Bled, Slovenia. The theme of the 35th conference is "Digital Restructuring and Human (re)Action". During the pandemic, we experienced the important role of digital technologies in enabling people and enterprises to interact, collaborate, and find new opportunities and ways to overcome various challenges. The use of digital technologies in these times has accelerated the digital transformation of enterprises and societies. It will be important to leverage this momentum for further implementation and exploitation of digital technologies that will bring positive impacts and solutions for people, enterprises and societies. The need to achieve sustainability goals and sustainable development of society has increased. Digital technologies will continue to play an important role in achieving these goals. The papers in this conference proceedings address digital transformation of enterprises, digital wellness and health solutions, digital ethics challenges, artificial intelligence and data science solutions, new and digital business models, digital consumer behaviour and solutions, including the impact of social media, restructuring of work due to digital technologies, digital education challenges and examples, and solutions for smart sustainable cities.
Ključne besede: Digital transformation, digital business, digital technologijes, innovations, digitalization, sustainable development, smart and sustainable cities and societies, digital health and wellness, artificial intelligence and data science, digital ethics, digital education, restructured work, digital consumer, social media
Objavljeno v DKUM: 23.06.2022; Ogledov: 392; Prenosov: 29
Celotno besedilo (15,08 MB)
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Opis: Data has never been as desired or valued as it is today. The value of data and information over the past decade has not only changed trends in business and the IT industry but has also changed the dynamic of work. Enormous amounts of aggregate data offer companies and other corporations the option to explore and study data samples. Data collection and information processing are new dynamic factors, not only for individuals but also for corporations. Companies and corporations who are able to process large amounts of data in the shortest possible time can place themselves in a leading position in certain professions. In this bachelor’s thesis we will describe the basic concepts and factors that have shaped new, cloud-based data warehouse technologies. At the same time, we also emphasize why and how these technologies are used. We focus on how the changing technology influenced the users and their consumption of data, the changing dynamics of work as well as the changes of data itself. In the practical part, we created two DWH environments (on-premises and cloud) that we compare with each other. In the experiment, we underlined the fact that CDWHs are in certain situations not always faster than TDWH.
Ključne besede: Data Warehouses, Cloud Computing, Outsourcing, Data, Information
Objavljeno v DKUM: 18.10.2021; Ogledov: 689; Prenosov: 131
Celotno besedilo (3,58 MB)