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1.
Implementation of acoustic data link technology in industries
Simon Srebot, 2023, undergraduate thesis

Abstract: The main topic of this bachelor's thesis is the implementation of Acoustic Data Link (ADL) in the industry, where the aim is to find suitable industrial applications where the implementation of ADL would be feasible and expedient. The thesis is based on a six-month Product Innovation Project hosted by the Institute of Industrial Management at the Graz University of Technology and in cooperation with TDK Corporation, where our international team of students were given the challenge of exploring possible industrial applications of ADL. The bachelor's thesis includes the description, composition and explained operation of ADL technologies as well as other similar technologies. It also includes the comparison between existing technologies and ADL, idea generation methods for possible applications and research results for each use case of the technology. The thesis concludes with a comparison of possible ADL implementations and their market research.
Keywords: Data Transfer, Acoustic Data Link, Piezo Elements, Radio Frequency Identification
Published in DKUM: 28.02.2024; Views: 12; Downloads: 0
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2.
Privacy and data protection concerns in the regulatory framework of Slovenian energy law
Zoran Dimović, 2023, original scientific article

Abstract: The implementation of smart energy systems (SES) in the Slovenian energy sector has raised significant privacy and data protection concerns. The collection and processing of personal data from energy consumers, as well as cybersecurity threats, pose risks that must be addressed. The legal framework governing privacy and data protection in the energy field in Slovenia is based on the GDPR, ZOEE, ZVPot-1, ZVOP-2 and others, which impose significant obligations on entities processing personal data. To mitigate these risks, exact terminology must be used to implement privacy, data protection and also cybersecurity measures and ensure compliance with the legal framework.
Keywords: cybersecurity, data protection, energy law, green and digital transformation, privacy protection
Published in DKUM: 20.02.2024; Views: 54; Downloads: 0
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3.
LiDAR-Based Maintenance of a Safe Distance between a Human and a Robot Arm
David Podgorelec, Suzana Uran, Andrej Nerat, Božidar Bratina, Sašo Pečnik, Marjan Dimec, Franc Žaberl, Borut Žalik, Riko Šafarič, 2023, original scientific article

Abstract: This paper focuses on a comprehensive study of penal policy in Slovenia in the last 70 years, providing an analysis of statistical data on crime, conviction, and prison populations. After a sharp political and penal repression in the first years after World War II, penal and prison policy began paving the way to a unique "welfare sanction system", grounded in ideas of prisoners' treatment. After democratic reforms in the early 1990s, the criminal legislation became harsher, but Slovenia managed to avoid the general punitive trends characterized by the era of penal state and culture of control. The authoritarian socialist regime at its final stage had supported the humanization of the penal system, and this trend continued in the first years of the democratic reforms in the 1990s, but it lost its momentum after 2000. In the following two decades, Slovenia experienced a continuous harshening of criminal law and sanctions on the one hand and an increasing prison population rate on the other. From 2014 onwards, however, there was a decrease in all segments of penal statistics. The findings of the study emphasize the exceptionalism of Slovenian penal policy, characterized by penal moderation, which is the product of the specific local historical, political, economic, and normative developments.
Keywords: LIDAR, robot, human-robot collaboration, speed and separation monitoring, intelligent control system, geometric data registration, motion prediction
Published in DKUM: 16.02.2024; Views: 68; Downloads: 5
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4.
Data sharing concepts : a viable system model diagnosis
Igor Perko, 2023, original scientific article

Abstract: Purpose Artificial intelligence (AI) reasoning is fuelled by high-quality, detailed behavioural data. These can usually be obtained by the biometrical sensors embedded in smart devices. The currently used data collecting approach, where data ownership and property rights are taken by the data scientists, designers of a device or a related application, delivers multiple ethical, sociological and governance concerns. In this paper, the author is opening a systemic examination of a data sharing concept in which data producers execute their data property rights. Design/methodology/approach Since data sharing concept delivers a substantially different alternative, it needs to be thoroughly examined from multiple perspectives, among them: the ethical, social and feasibility. At this stage, theoretical examination modes in the form of literature analysis and mental model development are being performed. Findings Data sharing concepts, framework, mechanisms and swift viability are examined. The author determined that data sharing could lead to virtuous data science by augmenting data producers' capacity to govern their data and regulators' capacity to interact in the process. Truly interdisciplinary research is proposed to follow up on this research. Research limitations/implications Since the research proposal is theoretical, the proposal may not provide direct applicative value but is largely focussed on fuelling the research directions. Practical implications For the researchers, data sharing concepts will provide an alternative approach and help resolve multiple ethical considerations related to the internet of things (IoT) data collecting approach. For the practitioners in data science, it will provide numerous new challenges, such as distributed data storing, distributed data analysis and intelligent data sharing protocols. Social implications Data sharing may post significant implications in research and development. Since ethical, legislative moral and trust-related issues are managed in the negotiation process, data can be shared freely, which in a practical sense expands the data pool for virtuous research in social sciences. Originality/value The paper opens new research directions of data sharing concepts and space for a new field of research.
Keywords: hybrid reality, data sharing, systems thinking, cybernetics, artificial intelligence
Published in DKUM: 14.02.2024; Views: 50; Downloads: 3
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5.
LAPPD operation using ToFPETv2 PETSYS ASIC
Andrej Seljak, Marko Bračko, Rok Dolenec, Peter Križan, Andrej Lozar, Rok Pestotnik, Samo Korpar, 2023, published scientific conference contribution

Abstract: Single photon sensitive detectors used in high energy physics are, in some applica-tions, required to cover areas the size of several m2, and more specifically in very strong demand with an ever finer imaging and timing capability for Cherenkov Ring Imaging Detector (RICH) configurations. We are evaluating the Large Area Picosecond Photo-detector (LAPPD) produced by INCOM company, as a possible candidate for future RICH detector upgrades. In this work we perform tests on the second generation device, which is capacitively coupled to a custom designed anode back plane, consisting of various pixels and strips varying in size, that allows for connecting various readout systems such as standard laboratory equipment, as well as the TOFPET2 ASIC from PETsys company. Our aim is to evaluate what can be achieved by merging currently available technology, in order to find directions for future developments adapted for specific uses.
Keywords: data acquisition circuits, data acquisition concept, front-end electronics for detector readou, digital electronic circuits
Published in DKUM: 06.02.2024; Views: 72; Downloads: 3
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7.
Variable-length differential evolution for numerical and discrete association rule mining
Uroš Mlakar, Iztok Fister, Iztok Fister, 2023, original scientific article

Abstract: This paper proposes a variable-length Differential Evolution for Association Rule Mining. The proposed algorithm includes a novel representation of individuals, which can encode both numerical and discrete attributes in their original or absolute complement of the original intervals. The fitness function used is comprised of a weighted sum of Support and Confidence Association Rule Mining metrics. The proposed algorithm was tested on fourteen publicly available, and commonly used datasets from the UC Irvine Machine Learning Repository. It is also compared to the nature inspired algorithms taken from the NiaARM framework, providing superior results. The implementation of the proposed algorithm follows the principles of Green Artificial Intelligence, where a smaller computational load is required for obtaining promising results, and thus lowering the carbon footprint.
Keywords: association rule mining, differential evolution, data mining, variable-lenght solution representation, green AI
Published in DKUM: 18.01.2024; Views: 93; Downloads: 0

8.
The policing perspective of personal data protection and the right to be forgotten in Europe and in the Republic of Slovenia
Miha Dvojmoč, Tinkara Bulovec, Katja Eman, 2023, review article

Abstract: Purpose: The article raises the question, whether the data protection regulation in police procedures is sufficient and whether it does not ‘harm’ the person subject to the procedure. Design/Methods/Approach: The impact, advantages and disadvantages of legislative changes on implementing specific police tasks (e.g. biometric data, facial recognition systems and automatic identification of vehicle registration plates) are presented, emphasising regulation in the Republic of Slovenia as a systematic literature review. Findings: The latest changes in personal data protection were related to the definition, collection, processing, use, transmission and storage of personal data. An individual has rights relating to access to information, processing, correction, restrictions on use, transferability, deletion and objection to the processing of personal data. When police operate within the law, their powers must align with constitutional and legal provisions. This alignment safeguards interventions in individual privacy. Yet, without legal clarity, known as lex certa, there’s a risk of actions becoming unwarranted intrusions into rights and freedoms. A consensus is needed between the protection of individual privacy and enabling the effective investigation and control of crime by law enforcement authorities. Research Limitation/Implications: The research was focus only on data protection regulation in police procedures. Practical Implication: The findings of the article offer insight into data protection regulation in police procedures and highlights the gaps and formulate starting points for future research. Originality/Value: The article is the first systematic literature review in data protection in police procedures in Slovenia.
Keywords: protection of personal data, GDPR, police procedures, right to be forgotten, Slovenia
Published in DKUM: 15.01.2024; Views: 70; Downloads: 6
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9.
Towards a Catalogue of Self-Sovereign Identity Design Patterns
Špela Čučko, Vid Keršič, Muhamed Turkanović, 2023, original scientific article

Abstract: Self-sovereign identity (SSI) is a user-centric, decentralised identity approach that provides a means for identification, authentication, and authorisation without the involvement of external entities, responsible for identity provisioning and management in current centralised and federated approaches. In general, the basic building blocks of an SSI system include decentralised identifiers, verifiable credentials, identity wallets, a verifiable data registry, and three main actors: issuer, identity holder, and verifier. Even though the SSI field is dominated by proposals, SSI systems can be implemented in different ways, which is reflected in the absence of a well-defined architecture. Thus, the best implementation is still a matter of research, the requirements of the individual system, and its field of application. However, well-designed and implemented systems are crucial to avoiding failures, speeding up the development process, ensuring high quality, and the broader adoption of SSI solutions. Hence, the main objective of this study was to identify design patterns and good practices of the SSI ecosystems by reviewing and analysing the literature, technical documentation, and existing SSI implementations. Therefore, the study is built on existing knowledge, and presents a comprehensive catalogue of thirty-five SSI design patterns that can serve as a starting point for a possible SSI system design.
Keywords: self-sovereign identity, decentralised identity, design patterns, decentralised identifiers, verifiable credentials, blockchain, verifiable data registry, identity wallets
Published in DKUM: 05.12.2023; Views: 181; Downloads: 23
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10.
Towards trusted data sharing and exchange in agro-food supply chains: design principles for agricultural data spaces
Martina Šestak, Daniel Copot, original scientific article

Abstract: In the modern agricultural landscape, realizing data’s full potential requires a unified infrastructure where stakeholders collaborate and share their data to gain insights and create business value. The agricultural data ecosystem (ADE) serves as a crucial socio-technical infrastructure, aggregating diverse data from various platforms and, thus, advertising sustainable agriculture and digitalization. Establishing trustworthy data sharing and exchange in agro-food value chains involves socioeconomic and technological elements addressed by the agricultural data space (ADS) and its trust principles. This paper outlines key challenges to data sharing in agro-food chains impeding ADE establishment based on the review of 27 studies in scientific literature. Challenges mainly arise from stakeholders’ mistrust in the data-sharing process, inadequate data access and use policies, and unclear data ownership agreements. In the ADE context, interoperability is a particularly challenging topic for ensuring the long-term sustainability of the system. Considering these challenges and data space principles and building blocks, we propose a set of design principles for ADS design and implementation that aim to mitigate the adverse impact of these challenges and facilitate agricultural data sharing and exchange.
Keywords: data sharing and exchange, agro-food supply chain, design principles, agricultural data space, agricultural data ecosystem
Published in DKUM: 30.11.2023; Views: 222; Downloads: 9
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