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Drivers and barriers for the adoption of circular economy principles towards efficient resource utilisation
Vesna Alivojvodić, Filip Kokalj, 2024, izvirni znanstveni članek

Opis: Contemporary societies, whether they have reached advanced levels of economic and social development or are still developing, need to prioritise the implementation of circular economy practices. This will facilitate the shift towards regenerative, sustainable, and closed-loop industrial systems. For now, there are some efforts to encourage patterns of production and consumption through changes in economic trends, development of institutional frameworks, harmonising regulations in the field of environmental protection, and raising the level of social awareness to achieve, above all, greater efficiency of resources. Extensive literature that deals with monitoring the implementation of the circular economy already indicates the existence of numerous barriers in this process but also notices some incentives for raising the degree of circularity of the observed systems. In this paper, the question of whether a single value can represent the level of circularity of the chosen material/product chain is researched. An overview of barriers and drivers for implementing circular economy strategies is given to structure a proper metric framework in correlation to the research question. The objective was to simplify the monitoring of circularity by developing a unique index for comparing material/product chains in similar systems. This was accomplished by using the circular material use (CMU) rate introduced in the European Union and modifying it for financial data calculation. As a result, the circular economy index, which covers all 9R strategies (CEIR), is obtained. The practical verification of model applicability was shown by determining the degree of circularity achieved for passenger cars in the four observed EU countries.
Ključne besede: barriers, 9R framework, circular material use rate, circular economy index, passenger cars
Objavljeno v DKUM: 19.03.2024; Ogledov: 100; Prenosov: 9
.pdf Celotno besedilo (671,51 KB)
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The potential of ai-driven assistants in scaled agile software development
Vasilka Saklamaeva, Luka Pavlič, 2024, izvirni znanstveni članek

Opis: Scaled agile development approaches are now used widely in modern software engineering, allowing businesses to improve teamwork, productivity, and product quality. The incorporation of artificial intelligence (AI) into scaled agile development methods (SADMs) has emerged as a potential strategy in response to the ongoing demand for simplified procedures and the increasing complexity of software projects. This paper explores the intersection of AI-driven assistants within the context of the scaled agile framework (SAFe) for large-scale software development, as it stands out as the most widely adopted framework. Our paper pursues three principal objectives: (1) an evaluation of the challenges and impediments encountered by organizations during the implementation of SADMs, (2) an assessment of the potential advantages stemming from the incorporation of AI in large-scale contexts, and (3) the compilation of aspects of SADMs that AI-driven assistants enhance. Through a comprehensive systematic literature review, we identified and described 18 distinct challenges that organizations confront. In the course of our research, we pinpointed seven benefits and five challenges associated with the implementation of AI in SADMs. These findings were systematically categorized based on their occurrence either within the development phase or the phases encompassing planning and control. Furthermore, we compiled a list of 15 different AI-driven assistants and tools, subjecting them to a more detailed examination, and employing them to address the challenges we uncovered during our research. One of the key takeaways from this paper is the exceptional versatility and effectiveness of AI-driven assistants, demonstrating their capability to tackle a broader spectrum of problems. In conclusion, this paper not only sheds light on the transformative potential of AI, but also provides invaluable insights for organizations aiming to enhance their agility and management capabilities.
Ključne besede: SAFe, scaled agile framework, AI, artificial intelligence, tools, assistants, agile, large-scale
Objavljeno v DKUM: 26.01.2024; Ogledov: 149; Prenosov: 21
.pdf Celotno besedilo (816,79 KB)

Making the decision to stay at home : developing a community-based care process model for aging in place
Katarina Galof, Zvone Balantič, 2021, izvirni znanstveni članek

Opis: The care of older adults who wish to spend their old age at home should be regulated in every country. The purpose of this article is to illustrate the steps for developing a community-based care process model (CBCPM), applied to a real-world phenomenon, using an inductive, theory-generative research approach to enable aging at home. The contribution to practice is that the collaboration team experts facilitate the application of the process in their own work as non-professional human resources. This means that each older adult is his or her own case study. Different experts and non-experts can engage in the process of meeting needs as required. The empirical work examined the number of levels and steps required and the types of human resources needed. The proposed typology of the CBCPM for older adults can provide insight, offer a useful framework for future policy development, and evaluate pilots at a time when this area of legislation is being implemented.
Ključne besede: independent functioning of older adults, home and community-based providers, healthcare, framework, spiral model
Objavljeno v DKUM: 12.07.2023; Ogledov: 260; Prenosov: 24
.pdf Celotno besedilo (1,15 MB)
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Development of an open-source framework for automatic alignment of KORUZA free-space optical communication system : magistrsko delo
Nejc Klemenčič, 2022, magistrsko delo

Opis: This thesis aims to implement an open-source framework for the automatic alignment and tracking of the KORUZA v2 Pro free-space optical solution. Free-space optical systems are explored and current optical alignment and tracking solutions are analyzed. We use Neural Network-based object detection approaches to complement the essential collection of framework functionality. We train a Neural Network to detect KORUZA v2 Pro units with data gathered from currently deployed links. The out-of-the-box solution for automatic alignment and tracking can be freely modified and extended.
Ključne besede: free-space optics, automatic alignment, neural networks, object detection, open-source framework
Objavljeno v DKUM: 14.03.2022; Ogledov: 661; Prenosov: 76
.pdf Celotno besedilo (4,68 MB)

uARMSolver: a framework for association rule mining
Iztok Fister, Iztok Fister, 2020, elaborat, predštudija, študija

Ključne besede: association rule mining, categorical attributes, numerical attributes, software framework, optimization
Objavljeno v DKUM: 17.03.2021; Ogledov: 1279; Prenosov: 31
.pdf Celotno besedilo (462,21 KB)
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Primerjava ogrodij za zaledne sisteme mobilnih aplikacij : diplomsko delo
Miha Podplatnik, 2019, diplomsko delo

Opis: Področje implementacije zalednih sistemov za mobilne rešitve lahko že pred začetkom projekta predstavlja težavo, sploh zaradi tega, ker je na voljo ogromno poti, po katerih se lahko sprehodimo, vse pa nas ne vodijo na cilj, vsaj ne racionalen. V diplomski nalogi so predstavljeni vsi sestavni deli zalednega sistema, izbrane arhitekture in dobre prakse pri zavoju. Osrednji področji diplomske naloge sta izbira in analiza ogrodij iz celotnega spektra, od zelo fleksibilnih do tistih, ki nam vsiljujejo svoj način razvoja. Pozornost smo namenili tako klasičnemu skladu kot tudi modernim platformam, ki ogromno dela opravijo že iz škatle. Za potrebe lažje podaje primerjave smo razvili rešitev, ki rešuje problem iz realnega sveta.
Ključne besede: zaledni sistemi, serverless, firebase, express.js, django rest framework
Objavljeno v DKUM: 13.11.2019; Ogledov: 1619; Prenosov: 137
.pdf Celotno besedilo (907,19 KB)

Primerjava ogrodij entity framework in nhibernate za objektno - relacijsko preslikavo
Tadej Rola, 2017, diplomsko delo

Opis: V diplomskem delu primerjamo ogrodji za objektno-relacijsko preslikavo Entity Framework in NHibernate. Na začetku smo razložili klasičen način dostopa do podatkovne baze preko ADO.NET komponente, v nadaljevanju še O-RM tehnologijo. Nato je sledila podrobna predstavitev obeh ogrodij. V drugem delu diplomskega dela najprej razložimo in prikažemo glavne funkcionalnosti enega in drugega na praktičnem primeru. V zadnjem delu diplomskega dela pišemo o razlikah med enim in drugim ter njunih prednostih in slabostih/pomanjkljivostih.
Ključne besede: objektno-relacijska preslikava, entity framework, nhibernate, ADO.NET
Objavljeno v DKUM: 06.10.2017; Ogledov: 1082; Prenosov: 172
.pdf Celotno besedilo (3,47 MB)

Towards the novel reasoning among particles in PSO by the use of RDF and SPARQL
Iztok Fister, Xin-She Yang, Karin Ljubič Fister, Dušan Fister, Janez Brest, Iztok Fister, 2014, izvirni znanstveni članek

Opis: The significant development of the Internet has posed some new challenges and many new programming tools have been developed to address such challenges. Today, semantic web is a modern paradigm for representing and accessing knowledge data on the Internet. This paper tries to use the semantic tools such as resource definition framework (RDF) and RDF query language (SPARQL) for the optimization purpose. These tools are combined with particle swarm optimization (PSO) and the selection of the best solutions depends on its fitness. Instead of the local best solution, a neighborhood of solutions for each particle can be defined and used for the calculation of the new position, based on the key ideas from semantic web domain. The preliminary results by optimizing ten benchmark functions showed the promising results and thus this method should be investigated further.
Ključne besede: resource definition framework, SPARQL, best solutions, RDF, PSO
Objavljeno v DKUM: 15.06.2017; Ogledov: 1551; Prenosov: 417
.pdf Celotno besedilo (1,67 MB)
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Business English as a lingua franca : a cross-cultural perspective of teaching English for business purposes
Nataša Gajšt, 2014, pregledni znanstveni članek

Opis: In our era of globalisation, English is at the top of the languages used in international business. A vast majority of business communication in English is carried out by non-native speakers of English. In a cross-cultural exchange of information, the sender and the recipient come from different cultural backgrounds. The patterns of communication vary across the globe and non-native speakers tend to apply their native language patterns when communicating in English. This paper thus focuses on the concept of spoken communication and dimensions of culture and how they are reflected in communication patterns in different business situations. It also addresses the teaching of Business English as a lingua franca and the role of Business English teachers in helping learners develop their communicative and intercultural competence in order to communicate effectively in a multicultural work environment.
Ključne besede: Business English, lingua franca, cross-cultural communication, communication patterns, Common European Framework of Reference for Languages (CEFR), communicative competence, intercultural competence
Objavljeno v DKUM: 12.05.2017; Ogledov: 1586; Prenosov: 184
.pdf Celotno besedilo (126,14 KB)
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