1. Surface Reflection Suppression Method for Air-Coupled SFCW GPR SystemsPrimož Smogavec, Dušan Gleich, 2025, original scientific article Abstract: Air-coupled ground penetrating radar (GPR) systems are widely used for subsurface imaging in demining, geological surveys, and infrastructure assessment applications. However, strong surface reflections can introduce interference, leading to receiver saturation and reducing the clarity of subsurface features. This paper presents a novel surface reflection suppression algorithm for stepped-frequency continuous wave (SFCW) GPR systems. The proposed method estimates the surface reflection component and applies phase-compensated subtraction at the receiver site, effectively suppressing background reflections. A modular SFCW radar system was developed and tested in a laboratory setup simulating a low-altitude airborne deployment to validate the proposed approach. B-scan and time-domain analyses demonstrate significant suppression of surface reflections, improving the visibility of subsurface targets. Unlike previous static echo cancellation methods, the proposed method performs on-board pre-downconversion removal of surface clutter that compensates for varying ground distance, which is a unique contribution of this work.
Keywords: GPR systems, ground penetrating radar systems, surface reflection suppression, SFCW, surface echo, echo cancellation, receiver saturation
Published in DKUM: 12.05.2025; Views: 0; Downloads: 5
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2. Prompt engineering for chatbotsMladen Borovič, 2025, other educational material Abstract: The learning material describes the remarkable and rapid progress in artificial intelligence conversational systems, from simple to advanced ones that now handle complex tasks and are becoming indispensable in various industries. It emphasises that the systems are quickly improving in understanding context and providing accurate answers, which is changing how technology is used. Because of this, the author introduces the concept of prompt engineering as a key skill for effective communication with these systems and obtaining the best results. The material serves as a practical guide to mastering this skill, although the author acknowledges that further development may make this knowledge unnecessary in the future. Nevertheless, the importance of clear communication remains, as conversational systems are just an extension of our need for it in the digital world.
Keywords: artificial intelligence, conversational systems, prompt engineering
Published in DKUM: 06.05.2025; Views: 0; Downloads: 13
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3. Discrete memristive Hindmarsh-Rose neural model with fractional-order differencesFatemeh Parastesh, Karthikeyan Rajagopal, Sajad Jafari, Matjaž Perc, 2025, original scientific article Abstract: Discrete systems can offer advantages over continuous ones in certain contexts, particularly in terms of simplicity and reduced computational costs, though this may vary depending on the specific application and requirements. Recently, there has been growing interest in using fractional differences to enhance discrete models' flexibility and incorporate memory effects. This paper examines the dynamics of the discrete memristive Hindmarsh-Rose model by integrating fractional-order differences. Our results highlight the complex dynamics of the fractional-order model, revealing that chaotic firing depends on both the fractional-order and magnetic strength. Notably, certain magnetic strengths induce a transition from periodic firing in the integer-order model to chaotic behavior in the fractional-order model. Additionally, we explore the dynamics of two coupled discrete systems, finding that electrical coupling leads to the synchronization of chaotic dynamics, while chemical coupling ultimately results in a quiescent state.
Keywords: memristive Hindmarsh-Rose model, discrete systems, fractional-order differences
Published in DKUM: 06.05.2025; Views: 0; Downloads: 0
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4. Hardware-in-the-loop simulations: a historical overview of engineering challengesFranc Mihalič, Mitja Truntič, Alenka Hren, 2022, review article Abstract: The design of modern industrial products is further improved through the hardware-inthe-loop (HIL) simulation. Realistic simulation is enabled by the closed loop between the hardware
under test (HUT) and real-time simulation. Such a system involves a field programmable gate array
(FPGA) and digital signal processor (DSP). An HIL model can bypass serious damage to the real
object, reduce debugging cost, and, finally, reduce the comprehensive effort during the testing. This
paper provides a historical overview of HIL simulations through different engineering challenges,
i.e., within automotive, power electronics systems, and different industrial drives. Various platforms,
such as National Instruments, dSPACE, Typhoon HIL, or MATLAB Simulink Real-Time toolboxes
and Speedgoat hardware systems, offer a powerful tool for efficient and successful investigations
in different fields. Therefore, HIL simulation practice must begin already during the university’s
education process to prepare the students for professional engagements in the industry, which was
also verified experimentally at the end of the paper.
Keywords: hardware-in-the-loop (HIL), controller-in-the-loop (CIL), power hardware-in-the-loop (PHIL), electric drives, automotive, DC-DC converters, inverter systems, grid applications, railway systems
Published in DKUM: 07.04.2025; Views: 0; Downloads: 2
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5. Evolution of domain-specific modeling language: an example of an industrial case study on an RT-sequencerTomaž Kos, Marjan Mernik, Tomaž Kosar, 2022, original scientific article Abstract: Model-driven engineering is a well-established software development methodology that
uses models to develop applications where the end-users with visual elements model abstractions
from a specific domain. These models are based on domain-specific modeling language (DSML),
which is particular to the problem domain. During DSML use, new ideas emerge and DSMLs evolve.
However, reports on DSML evolution are rare. This study presents a new DSML called RT-Sequencer
that evolved from our DSML Sequencer to support, in addition to the Data Acquisition domain,
also a new domain—Real-Time Control (RTC) systems. The process of defining models with a new
language RT-Sequencer has changed in a way that new end-users were introduced—advanced endusers, which use general-purpose language (GPL) and advanced programming concepts to define
modeling environments for the RT-Sequencer end-users. More specifically, an industrial experience
with the RT-Sequencer is presented, where DSML was opened for extension so that a GPL code
could be inserted into the model to create new visual blocks for the end-user, and the possibility to
adapt and optimize the execution code for a particular task. Our experience shows the specific case
of DSML evolution supporting another problem domain, and the implementation effort needed to
extend domain-specific modeling language with GPL support.
Keywords: model-driven engineering, domain-specific modeling languages, measurement systems, Real-Time Control systems, data acquisition, language evolution, experience report
Published in DKUM: 27.03.2025; Views: 0; Downloads: 2
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6. Critical transitions in pancreatic isletsDean Korošak, Sandra Postić, Andraž Stožer, Boštjan Podobnik, Marjan Rupnik, 2025, original scientific article Abstract: Calcium signals in pancreatic � cell collectives show a sharp transition from uncorrelated to correlated state resembling a phase transition as the slowly increasing glucose concentration crosses the tipping point. However, the exact nature or the order of this phase transition is not well understood. Using confocal microscopy to record the collective calcium activation of � cells in an intact islet under changing glucose concentration in an increasing and then decreasing way, we first show that in, addition to the sharp transition, the coordinated calcium response exhibits a hysteresis indicating a critical, first-order transition. A network model of � cells combining link selection and coordination mechanisms capture the observed hysteresis loop and the critical nature of the transition. Our results point towards an understanding of the role of islets as tipping elements in the pancreas that, interconnected by perfusion, diffusion, and innervation, cause the tipping dynamics and abrupt insulin release.
Keywords: cellular organization, physiology & dynamics, phase transitions in biological systems, complex networks, endocrine system, optical microscopy
Published in DKUM: 19.03.2025; Views: 0; Downloads: 2
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9. Chaos and mixing homeomorphisms on fansIztok Banič, Goran Erceg, Judy A. Kennedy, Christopher Mouron, Van Nall, 2024, original scientific article Abstract: We construct a mixing homeomorphism on both the Lelek fan and the Cantor fan. We also construct a family of uncountably many pairwise non-homeomorphic smooth (and non-smooth) fans that admit mixing homeomorphisms.
Keywords: closed relations, Mahavier products, transitive dynamical systems, transitive homeomorphisms, mixing homeomorphisms, smooth fan
Published in DKUM: 26.02.2025; Views: 0; Downloads: 2
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10. Hybrid reality development - can social responsibility concepts provide guidance?Igor Perko, 2021, original scientific article Abstract: Purpose: This paper aims to define hybrid reality (HyR) as an ongoing process in which artificial intelligence (AI) technology is gradually introduced as an active stakeholder by using reasoning to execute real-life activities. Also, to examine the implications of social responsibility (SR) concepts as featured in the HyR underlying common framework to progress towards the redefinition of global society.
Design/methodology/approach: A combination of systemic tools is used to examine and assess the development of HyR. The research is based on evolutionary and learning concepts, leading to the new meta-system development. It also builds upon the viable system model and AI, invoking SR as a conceptual framework. The research is conducted by using a new approach: using system dynamics based interactions modelling, the following two models have been proposed. The state-of-the-art HyR interactions model, examined using SR concepts; and a SR concept-based HyR model, examined using a smart vehicle case.
Findings: In the HyR model, interaction asymmetry between stakeholders is identified, possibly leading to pathological behaviour and AI technology learning corruption. To resolve these asymmetry issues, an interaction model based on SR concepts is proposed and examined on the example of an autonomous vehicle transport service. The examination results display significant changes in the conceptual understanding of transport services, their utilisation and data-sharing concepts.
Research limitations/implications: As the research proposal is theoretical in nature, the projection may not display a fully holistic perspective and can/should be complemented with empirical research results.
Practical implications: For researchers, HyR provides a new paradigm and can thereby articulate potential research frameworks. HyR designers can recognise projected development paths and the resources required for the implication of SR concepts. Individuals and organisations should be aware of their not necessarily passive role in HyR and can therefore use the necessary social force to activate their status.
Originality/value: For the first time, to the best of the author’s knowledge, the term HyR is openly elaborated and systemically examined by invoking concepts of SR. The proposed model provides an overview of the current and potential states of HyR and examines the gap between them.
Keywords: artificial intelligence, social responsibility, systems thinking, cybernetics, hybrid reality, interactions model
Published in DKUM: 04.02.2025; Views: 0; Downloads: 6
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