1. Analysis and synthesis of theoretical and practical implications of case management model and notationMateja Bule, Gregor Polančič, 2025, original scientific article Abstract: Case Management Model and Notation (CMMN) is a graphical notation used to model less predictable, highly flexible processes that may behave differently in each instance. It uses an event-centred approach and expands on what can be modelled with procedural modelling notations. Nearly a decade since the occurrence of CMMN, its practical use is questionable. We performed this research to identify possible reasons for this and to classify the potential advantages and disadvantages of CMMN. With the aforementioned objectives, we conducted a systematic literature review, which provided a broad insight into the state of the investigated object along with techniques for analysing qualitative data, coding, and successive approximation. From an initial set of 942 articles, 43 remain relevant. The results of the analysis and synthesis of the obtained data from relevant articles were generalised codes, which were used to explicitly answer the research questions. The results indicate that CMMN has good foundations in the declarative modelling approach and within the Case Management paradigm. Nevertheless, some issues were identified with the notation and elements of CMMN and with its complement—Business Process Model and Notation (BPMN).
Keywords: CMMN, case management, BPMN, declarative modelling, flexibility, visual language
Published in DKUM: 23.04.2025; Views: 0; Downloads: 0
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2. The (in)effectiveness of attention guidance methods for enhancing brand memory in 360° videoJani Pavlič, Tina Tomažič, 2022, original scientific article Abstract: Sensing and remembering features in visual scenes are conditioned by visual attention
and methods to guide it. This should be relevant in terms of product placement, which has become
an important part of incorporating brands into different mass media formats with a commercial
purpose. The approach can be challenging in 360◦ video, where an omnidirectional view enables
consumers to choose different viewing perspectives, which may result in overlooking the brands.
Accordingly, attention guidance methods should be applied. This study is the first to explore diegetic
guidance methods as the only appropriate guiding method for an unobtrusive and unconscious
nature of product placement. To test the effectiveness of three different diegetic guiding methods,
a between-subject design was employed, where the participants were assigned randomly to one
of four videos with the same scene but different guiding methods. The findings show and explain
the discrepancy with studies on guiding attention in other contexts, as there were no significant
differences between the guiding cues according to brand recall and brand recognition. The results also indicate a significant influence of brand familiarity on brand recall in 360◦ video. The
article concludes by providing limitations, future research directions, and recommendations for
audiovisual policy.
Keywords: product placement, visual attention, attention guidance methods, diegetic guiding cues, brand recall, brand recognition
Published in DKUM: 01.04.2025; Views: 0; Downloads: 3
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3. 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: 2
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4. QLCM Method for Determining the Quality Level of Circular Movement in Floor Plans of Houses and ApartmentsKaja Pogačar, Stojan Kravanja, 2025, original scientific article Abstract: This article deals with the specific spatial organization of residential buildings and highlights the advantages of ‘floor plans with circular paths’. When renovating the existing floor plans of houses or apartments, different floor plan variants can be designed that enable circular movement. Choosing the best variant is sometimes a difficult process. For this purpose, the so-called QLCM method (quality level of circular movement) was developed, which makes it possible to calculate the quality level of the adapted floor plan variants in terms of circular movement. The method covers the aspects of movement and visibility. Different path types, such as the path from room to room, door to door, door to window, and the path along the outer walls are analyzed. Different types of views such as single, multiple, and wide views are examined. Using the QLCM method, a special quality-level coefficient is calculated for each modified floor plan. The variant with the highest calculated coefficient can be selected for implementation. Based on case studies of converting three typologically different apartments/houses from non-circular to circular floor plans, the benefits in terms of enabling circular movement, increasing visual distance, and the perception of the size of the housing unit are demonstrated.
Keywords: residential buildings, floor plan, spatial organization, renovation, circular movement, path, viev, QLCM method, movement aspect, visual aspect
Published in DKUM: 28.02.2025; Views: 0; Downloads: 4
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5. Development of Methodology for Estimation of Energy-Efficient Building Renovation Using Application of MINLP-Optimized Timber–Glass Upgrade ModulesMaja Lešnik Nedelko, Stojan Kravanja, Miroslav Premrov, Vesna Žegarac Leskovar, 2025, original scientific article Abstract: Vertical addition to already-existing structures is an approach to energy-efficient building renovation. It presents an opportunity for the densification of built-up areas and the construction of new usable spaces. While many studies have dealt with the subject of renovating buildings with a focus on energy efficiency, far fewer studies have specifically examined the potential of vertically extending existing buildings, an approach which could be introduced in new sustainable building policies. The objective of this study is to redevelop optimal timber–glass upgrade modules, considering the ideal proportions of glazing for all cardinal directions, by using discrete Mixed-Integer Non-Linear Programming optimization. The novelty of the suggested method resides in the synchronous optimization of the upgrade modules’ daylighting and energy-efficiency performance, resulting in the creation of optimization methods that can determine the optimal glazing proportions for all cardinal directions and incorporate rational design and window measurement. The impact of the developed Mixed-Integer Non-Linear Programming-optimized upgrade modules is compared to previously designed optimized upgrade modules. Finally, a methodology for estimating the energy efficiency of building renovations incorporating vertical additions using the timber–glass upgrade modules was developed, supporting the quick assessment of the reduction in hybrid buildings’ energy consumption for heating and cooling according to boundary conditions, presuming that they undergo the suggested renovations. The findings are applicable (not exclusively) to Slovenia’s residential building stock, which makes up around 20% of the country’s current housing stock and was mainly constructed between 1946 and 1970. This offers a substantial opportunity to improve the overall sustainability and energy efficiency of the country’s housing stock. The proposed approach offers a holistic solution to drive sustainable development in the built environment by incorporating all three pillars of sustainability (environmental, social, and economic).
Keywords: energy efficient building renovation, energy efficiency, building vertical addition, timber–glass upgrade modules, mixed-integer non-linear programming, MINLP, optimization, visual comfort, energy sustainability
Published in DKUM: 16.01.2025; Views: 0; Downloads: 5
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6. The role of visualization in estimating cardiovascular disease risk : scoping reviewAdrijana Svenšek, Mateja Lorber, Lucija Gosak, Katrien Verbert, Zalika Klemenc-Ketiš, Gregor Štiglic, 2024, review article Abstract: Background: Supporting and understanding the health of patients with chronic diseases and cardiovascular disease (CVD) risk is often a major challenge. Health data are often used in providing feedback to patients, and visualization plays an important role in facilitating the interpretation and understanding of data and, thus, influencing patients’ behavior. Visual analytics enable efficient analysis and understanding of large datasets in real time. Digital health technologies can promote healthy lifestyle choices and assist in estimating CVD risk. Objective: This review aims to present the most-used visualization techniques to estimate CVD risk. Methods: In this scoping review, we followed the Joanna Briggs Institute PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. The search strategy involved searching databases, including PubMed, CINAHL Ultimate, MEDLINE, and Web of Science, and gray literature from Google Scholar. This review included English-language articles on digital health, mobile health, mobile apps, images, charts, and decision support systems for estimating CVD risk, as well as empirical studies, excluding irrelevant studies and commentaries, editorials, and systematic reviews. Results: We found 774 articles and screened them against the inclusion and exclusion criteria. The final scoping review included 17 studies that used different methodologies, including descriptive, quantitative, and population-based studies. Some prognostic models, such as the Framingham Risk Profile, World Health Organization and International Society of Hypertension risk prediction charts, Cardiovascular Risk Score, and a simplified Persian atherosclerotic CVD risk stratification, were simpler and did not require laboratory tests, whereas others, including the Joint British Societies recommendations on the prevention of CVD, Systematic Coronary Risk Evaluation, and Framingham-Registre Gironí del COR, were more complex and required laboratory testing–related results. The most frequently used prognostic risk factors were age, sex, and blood pressure (16/17, 94% of the studies); smoking status (14/17, 82%); diabetes status (11/17, 65%); family history (10/17, 59%); high-density lipoprotein and total cholesterol (9/17, 53%); and triglycerides and low-density lipoprotein cholesterol (6/17, 35%). The most frequently used visualization techniques in the studies were visual cues (10/17, 59%), followed by bar charts (5/17, 29%) and graphs (4/17, 24%). Conclusions: On the basis of the scoping review, we found that visualization is very rarely included in the prognostic models themselves even though technology-based interventions improve health care worker performance, knowledge, motivation, and compliance by integrating machine learning and visual analytics into applications to identify and respond to estimation of CVD risk. Visualization aids in understanding risk factors and disease outcomes, improving bioinformatics and biomedicine. However, evidence on mobile health’s effectiveness in improving CVD outcomes is limited.
Keywords: cardiovascular disease prevention, risk factors, visual analytics, visualization, mobile phone, PRISMA
Published in DKUM: 26.11.2024; Views: 0; Downloads: 8
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7. International Exhibition by Artists – University Teachers, Maribor, Slovenia, October 4th-14th, 20242024 Abstract: In the framework of the INTERNATIONAL SCIENTIFIC AND ART CONFERENCE: Rethinking childhood III - Teaching for an inclusive, technologically competent and sustainable society (2024) a catalog of the exhibition was published. The catalog features reproductions of artworks by artists employed at various higher education institutions in Slovenia and abroad. The accompanying text titled ART AND SCIENCE: PARALLEL LINES, PROPAGATION, INTERWEAVING (For the exhibition "Play of Perspectives, Strategies, and Decisions") was prepared by Mojca Puncer, PhD.
Keywords: art and science, visual art, exhibition catalog, artworks, higher education teachers and collaborators
Published in DKUM: 13.09.2024; Views: 27; Downloads: 3
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8. Izdelava digitalnega dvojčka proizvodnega obrata v podjetju Plastika Skaza d.o.o. : magistrsko deloLuka Črnčič, 2023, master's thesis Abstract: Magistrsko delo obsega opis izdelave digitalnega dvojčka proizvodnega obrata v podjetju Plastika Skaza d.o.o., s pomočjo katere je bila izvedena analiza zasedenosti operaterjev strojev na posameznih delovnih mestih. Rezultate analize stanja zasedenosti operaterjev smo dobili s pomočjo simulacije proizvodnega procesa v programu Visual Components v katerem smo digitalni dvojček tudi izdelali. Za izdelavo digitalnega dvojčka je bilo potrebno proizvodni proces dobro preučiti, da je bila razlika med fizičnim proizvodnim obratom in digitalnim dvojčkom minimalna. S pomočjo rezultatov analize stanja zasedenosti operaterjev smo oblikovali predloge za izboljšave proizvodnega procesa, ki smo jih prav tako analizirali s pomočjo simulacije. S pomočjo izvedbe analize smo lahko podali optimizacijske predloge, s katerimi je mogoče znižati stroške proizvodnega obrata. Prav tako smo s statistično analizo modela potrdili njegovo natančnost in sovpadanje z realnim proizvodnim procesom. Glavni cilj magistrskega dela je bil predlagati spremembe, ki bi omogočale enak izkupiček proizvodnega obrata z manjšim skupnim številom operaterjev strojev v proizvodnem obratu.
Keywords: digitalni dvojček, analiza proizvodnega procesa, optimizacija proizvodnega procesa, Visual Components, simulacija proizvodnega procesa, stroškovna kalkulacija, statistična analiza
Published in DKUM: 22.12.2023; Views: 377; Downloads: 85
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9. Audio-visual effects of a collaborative robot on worker efficiencyAljaž Javernik, Klemen Kovič, Iztok Palčič, Robert Ojsteršek, 2023, original scientific article Abstract: Collaborative workplaces are increasingly used in production systems. The possibility of
direct collaboration between robots and humans brings many advantages, as it allows the simultaneous use of human and robotic strengths. However, collaboration between a collaborative robot
and a human raises concerns about the safety of the interaction, the impact of the robot on human
health, human efficiency, etc. Additionally, research is unexplored in the field of the collaborative
robot’s audio-visual effects on the worker’s efficiency. Our study results contribute to the field of
studying collaborative robots’ audio-visual effects on the worker’s behavior. In this research, we
analyze the effect of the changing motion parameters of the collaborative robot (speed and acceleration) on the efficiency of the worker and, consequently, on the production process. Based on the
experimental results, we were able to confirm the impact of robot speed and acceleration on the
worker’s efficiency in terms of assembly time. We also concluded that the sound level and presence of
a visual barrier between the worker and robot by themselves have no effect on the worker’s efficiency.
The experimental part of the paper clearly identifies the impact of visualization on work efficiency.
According to the results, the robot’s audio-visual effects play a key role in achieving high efficiency
and, consequently, justifying the implementation of a collaborative workplace.
Keywords: collaborative robot, worker efficiency, motion parameters, visual contact, sound, human-robot symmetry, repeated measures ANOVA
Published in DKUM: 11.12.2023; Views: 332; Downloads: 35
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10. Avtomatski sortirnik lego kock s pomočjo strojnega vida : magistrsko deloVid Ostroško, 2022, master's thesis Abstract: Namen magistrske naloge je bila izdelava programa, kateri bi s pomočjo kamere preveril tip kocke na tekočem traku in jo pospravil v pravilen zaboj. Uporabili smo sortirnik lego kock s koračnimi motorji za premikanje traku, analognimi senzorji za zaznavo kocke, servomotorji za pospravljanje kocke v zaboj in mikrokrmilnik STM. Mikrokrmilnik je služil za premikanje tekočega traku, zaznavanje prisotnosti kocke in pospravljanje kocke v pravilen zaboj. Nanj smo priklopili računalnik na katerem je deloval program za prepoznavo tipa kocke in uporabniški vmesnik. Program na mikrokrmilniku je napisan v programskem okolju STM32CubeIDE v jeziku C, program na računalniku pa v programskem okolju Visual Studio v jeziku Python.
Keywords: Lego kocke, mikrokrmilnik STM, uporabniški vmesnik, sortiranje, avtomatizacija, Visual Studio, Strojni vid, Python
Published in DKUM: 04.04.2022; Views: 1254; Downloads: 77
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