1. Leveraging communities of practice to cultivate entrepreneurial mindset : a systematic review and practical insightsLjerka Sedlan Kőnig, 2024, original scientific article Abstract: This paper explores the role of Communities of Practice (CoPs) as a potential teaching tool to better promote an entrepreneurial mindset, particularly in the context of higher education. Through a systematic review of existing learning theories and the concept of CoPs, this paper identifies the challenges of entrepreneurial education and proposes changes in higher education that focus on creating entrepreneurial awareness, enhancing entrepreneurial competencies and developing students' entrepreneurial identity to foster an entrepreneurial mindset by supporting formal higher education with informal educational practices such as CoPs. The originality of this paper lies in the presentation of the alternative concept of Accountable Entrepreneurial Education. By combining theoretical insights with practical examples, this paper serves as a valuable resource for educators, researchers and practitioners in the field of entrepreneurship education.
Keywords: teaching tool, entrepreneurial behaviour, higher education Innovative practice
Published in DKUM: 02.06.2025; Views: 0; Downloads: 1
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2. A cloud-based system for the optical monitoring of tool conditions during milling through the detection of chip surface size and identification of cutting force trendsUroš Župerl, Krzysztof Stępień, Goran Munđar, Miha Kovačič, 2022, original scientific article Abstract: This article presents a cloud-based system for the on-line monitoring of tool conditions in
end milling. The novelty of this research is the developed system that connects the IoT (Internet of
Things) platform for the monitoring of tool conditions in the cloud to the machine tool and optical
system for the detection of cutting chip size. The optical system takes care of the acquisition and
transfer of signals regarding chip size to the IoT application, where they are used as an indicator
for the determination of tool conditions. In addition, the novelty of the presented approach is in
the artificial intelligence integrated into the platform, which monitors a tool’s condition through
identification of the current cutting force trend and protects the tool against excessive loading by
correcting process parameters. The practical significance of the research is that it is a new system for
fast tool condition monitoring, which ensures savings, reduces investment costs due to the use of
a more cost-effective sensor, improves machining efficiency and allows remote process monitoring
on mobile devices. A machining test was performed to verify the feasibility of the monitoring
system. The results show that the developed system with an ANN (artificial neural network) for the
recognition of cutting force patterns successfully detects tool damage and stops the process within
35 ms. This article reports a classification accuracy of 85.3% using an ANN with no error in the
identification of tool breakage, which verifies the effectiveness and practicality of the approach.
Keywords: machining, end milling, tool condition monitoring, chip size detection, cutting force trend identification, visual sensor monitoring, cloud manufacturing technologies
Published in DKUM: 26.03.2025; Views: 0; Downloads: 3
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3. Can large-language models replace humans in agile effort estimation? Lessons from a controlled experimentLuka Pavlič, Vasilka Saklamaeva, Tina Beranič, 2024, original scientific article Abstract: Effort estimation is critical in software engineering to assess the resources needed for development tasks and to enable realistic commitments in agile iterations. This study investigates whether generative AI tools, which are transforming various aspects of software development, can improve effort estimation efficiency. A controlled experiment was conducted in which development teams upgraded an existing information system, with the experimental group using the generative-AI-based tool GitLab Duo for estimation and the control group using conventional methods (e.g., planning poker or analogy-based planning). Results show that while generative-AI-based estimation tools achieved only 16% accuracy—currently insufficient for industry standards—they offered valuable support for task breakdown and iteration planning. Participants noted that a combination of conventional methods and AI-based tools could offer enhanced accuracy and efficiency in future planning.
Keywords: software engineering, agile development, iteration planning, effort estination, generative AI, tool accuracy
Published in DKUM: 24.12.2024; Views: 0; Downloads: 15
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4. The Careful Assessment tool for managing patients with medically unexplained symptoms - the experience of Slovenian family medicine trainees : a qualitative studyVojislav Ivetić, Špela Martinjak, Alem Maksuti, 2022, original scientific article Abstract: ntroduction
Primary care physicians use various tools and methods to identify medically unexplained symptoms (MUS). The main purpose of our study is to determine the views of Slovenian family medicine trainees (FMT) about using the “Careful Assessment” tool for managing patients with MUS.
Methods
A qualitative study using open survey questions focused on the experience of family medicine trainees in managing patients with MUS. The sample consisted of surveys from 184 family medicine trainees. These trainees analysed a total of 702 patients with MUS. Manual coding was used for quantitative content analysis.
Results
In the coding process, 49 codes were developed that included broader research fields about using the “Careful Assessment” tool for managing patients with MUS. The codes were grouped into four theoretically grounded, logical categories in accordance with the elaborated theoretical concept: multi-purpose utility; improved patient management; in-depth knowledge and new skills; and patient response.
Conclusion
The study demonstrated that, in the view of Slovenian FMT, the “Careful Assessment” tool has multi-purpose utility. The study showed that FMT felt that this tool helps them in systematic patient management. Their opinion is that it helps them establish a trusting relationship with patients, which is a precondition for providing further treatment.
Keywords: medically unexplained symptoms, Careful Assessment tool, family medicine, qualitative studies, family medicine, trainees
Published in DKUM: 17.06.2024; Views: 151; Downloads: 18
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5. Tool condition monitoring using machine tool spindle current and long short-term memory neural network model analysisNiko Turšič, Simon Klančnik, 2024, original scientific article Abstract: In cutting processes, tool condition affects the quality of the manufactured parts. As such, an essential component to prevent unplanned downtime and to assure machining quality is having information about the state of the cutting tool. The primary function of it is to alert the operator that the tool has reached or is reaching a level of wear beyond which behaviour is unreliable. In this paper, the tool condition is being monitored by analysing the electric current on the main spindle via an artificial intelligence model utilising an LSTM neural network. In the current study, the tool is monitored while working on a cylindrical raw piece made of AA6013 aluminium alloy with a custom polycrystalline diamond tool for the purposes of monitoring the wear of these tools. Spindle current characteristics were obtained using external measuring equipment to not influence the operation of the machine included in a larger production line. As a novel approach, an artificial intelligence model based on an LSTM neural network is utilised for the analysis of the spindle current obtained during a manufacturing cycle and assessing the tool wear range in real time. The neural network was designed and trained to notice significant characteristics of the captured current signal. The conducted research serves as a proof of concept for the use of an LSTM neural network-based model as a method of monitoring the condition of cutting tools.
Keywords: tool condition monitoring, artificial intelligence, LSTM neural network
Published in DKUM: 22.04.2024; Views: 181; Downloads: 38
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6. The Implementation of Electronic Green Public Procurement Tool in SloveniaKlemen Sredenšek, Gregor Srpčič, Maršenka Marksel, Miralem Hadžiselimović, Sebastijan Seme, 2019, published scientific conference contribution Abstract: This paper deals with implementation of electronic green public procurement tool for achieving environmental protection and sustainable development. The electronic green public procurement tool used within the living labs has been tested by stakeholders which proposed several valuable improvements. The evaluation analysis has shown that the living labs stakeholders knowledge on electronic green public procurement topics was improved.
Keywords: green public procurement, implement, improve, living lab, electronic green public procurement tool
Published in DKUM: 04.12.2023; Views: 406; Downloads: 46
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7. Electrified powertrain configurator : magistrsko deloJernej Kosi, 2019, master's thesis Abstract: This master’s thesis describes the development, use and simulation results of the Excel based electrified powertrain configurator tool. First, different electrified powertrains are introduced and divided based on the powertrain type. Within the scope of this master’s thesis, we focused on battery electric vehicles. A mathematical vehicle model was developed to describe different battery electric vehicle powertrain architectures. The mathematical vehicle model was implemented in Excel. The performance of the Excel tool was demonstrated by simulating various driving cycles. To evaluate the accuracy and usability of the tool, simulation results from Excel tool were compared with those from AVL Cruise.
Keywords: electrified powertrain, vehicle longitudinal dynamic, driving simulation, Excel, tool development
Published in DKUM: 23.12.2019; Views: 1561; Downloads: 36
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8. CSR EMAT is an opportunity for responsible decision-makingNora Berkes Rodek, 2017, original scientific article Abstract: Corporate social responsibility is an expected behaviour in Western countries, but the approach still does not have a clear interpretation in Hungary. As a result of the increasing prestige of the CSR approach, socially responsible thinking and action also are expected from the companies operating in Hungary. Company executives carry out CSR activities in many cases – but not consciously. The objective of this research therefore was the development of a guidance and evaluation criteria that can support managers in responsible decision-making and applying the CSR approach to a strategic level. On the other hand, this management tool allows the measurement of CSR excellence in companies; therefore, they become comparable in their CSR performance, which offers opportunities for further research. The study presents the development of CSR EMAT and the results achieved through the measurements.
Keywords: corporate social responsibility, EFQM excellence model, CSR EMAT, CSR excellence management, assessment tool
Published in DKUM: 03.05.2018; Views: 1238; Downloads: 199
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9. Estimating truck operating costs for domestic trips : case studies from GreeceEleftherios Sdoukopoulos, Maria Boile, Afroditi Anagnostopoulou, 2015, original scientific article Abstract: The transport sector represents a vital component of national economies and has significant impacts on productivity and social welfare. In 2012, the transport sector in Europe was estimated to account for 3.7% of the European Gross Domestic Product (GDP) and 5.1% for employment. Road transport proves to be the predominant mode for moving goods within Europe holding a share of approximately 45.8% in 2012 (in ton-kms). In Greece, the share of road freight transport is significantly higher (98%) indicating the importance of this sector for the Greek economy. To this end and considering the existing needs of road freight transport operators in Greece, the objective of this research is to establish an analytical and documented basis for estimating the operating cost of a truck on specific urban or national freight transport routes. To achieve this goal, an extended literature review has been conducted resulting in the identification of the main components comprising the total truck operating cost, which were then updated and validated through a series of personal interviews with selected road freight transport professionals. An excel-based application tool was also developed in order to facilitate operating cost estimates for different cases, through selection of the proper values of the relevant parameters. The resulting tool was used to analyse four test cases, which demonstrate the tool’s usability and applicability. Results from this analysis have been also validated by industry experts and they reflect real-world transport scenarios.
Keywords: cost calculation tool, road freight transport, truck operating costs
Published in DKUM: 17.11.2017; Views: 1490; Downloads: 356
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10. The development of spatial representation in the world of new mediaBea Tomšič Amon, 2011, original scientific article Abstract: With the development of spatial perceptions being one of the most important goals of visual art education, we analysed the influence of different didactic tools – dynamic or static in the development of pupils’ spatial perception. After an initial testing, we formed groups considering three different levels in their abilities to represent spatial organizations. In experimental groups pupils were introduced with the contents of the lesson using moving images while in control groups we used static images. Pupils had to make a drawing using the cues to represent space.
While pupils from the advanced level did not show differences, in the second group they showed more detailed drawings in the case of the use of dynamic didactic means. Among the less talented pupils, the results showed a difference: improvement in the case of static images while dynamic images produced a kind of insecurity that did not allow the free development of pupils’ expression. We concluded that it is important to use the adequate didactic tools taking into account the goals we wish to achieve: dynamic images foster a unique experience of space but they can create insecurity and negative feelings in pupils that find it difficult to express themselves in terms of two dimensional representations of space.
Keywords: new technologies, didactic tool, dynamic and static images, drawing
Published in DKUM: 10.10.2017; Views: 1086; Downloads: 112
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