Iskanje po katalogu digitalne knjižnice

Opis: The aim of this paper is to present a novel and comprehensive methodology for the dynamic modeling and experimental validation of a photovoltaic/thermal system. The dynamic model is divided into thermal and electrical subsystems, encompassing the photovoltaic/ thermal module and the thermal energy storage. The thermal subsystem of both the photovoltaic/thermal module and the thermal energy storage is described by a one-dimensional dynamic model of heat transfer mechanisms and optical losses, while the electrical subsystem is presented as an electrical equivalent circuit of double diode solar cell. Model validation was conducted on a modern experimental photovoltaic/thermal system over an extended operational period at a five-minute resolution, with validation days classified as sunny, cloudy, or overcast based on weather conditions, thereby demonstrating an applied approach. The results demonstrate the lowest deviation values reported to date, confirmed using six quantitative indicators. The added value of the proposed methodology, not previously addressed in the literature, lies in the following contributions: (i) comprehensive modeling of the entire photovoltaic/thermal system, (ii) accurate consideration of optical losses in the photovoltaic/thermal module, and (iii) long-term experimental validation. Overall, the proposed methodology provides a reliable and efficient framework for PV/T system design, optimization, and long-term performance assessment.
Ključne besede: photovoltaic/thermal system, thermal energy storage, dynamic modeling, experimental validation, heat transfer mechanism, temperature, electrical power
Objavljeno v DKUM: 10.11.2025; Ogledov: 0; Prenosov: 6
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Opis: This paper presents a novel approach for modeling non-Fourier dual-phase-lag bioheat transfer in multilayer biological tissue, aimed at simulating dynamic thermography for the early detection of skin tumors at Clark II and IV stages. The proposed algorithm, based on the boundary element method, enables the assignment of distinct thermophysical properties and non-Fourier relaxation time parameters to each tissue layer, thereby enhancing the realism of bioheat transfer modeling. Results show that accounting for non-Fourier effects significantly impacts the transient thermal contrast between tumor and healthy skin, particularly in Clark IV tumors and at higher relaxation times. These findings support the development of more accurate and physiologically realistic models of heat transfer in complex biological structures, and advance the application of dynamic thermography in early skin tumor detection and the diagnosis of other dermatological conditions.
Ključne besede: numerical modeling, non-Fourier heat transfer, bioheat transfer, dual-phase-lag model, boundary element method, dynamic thermography
Objavljeno v DKUM: 03.11.2025; Ogledov: 0; Prenosov: 5
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Opis: Background/Purpose: The Covid 19 epidemic has forced many organizations to move to remote work (RW), and this trend is expected to continue even later in the post-epidemic period. Employees of the organization are at the heart of this transi-tion to RW, so identifying the factors that affect employee satisfaction with RW is very important for organizations to increase employee commitment and motivation. Therefore, the main objective of this study was to identify and prioritize the factors affecting employee satisfaction with RW using an innovative method. Method: In the first phase of this study, a conceptual research model was designed inspired by literature. In the next phase, the proposed conceptual model of this re-search was tested using structural equation modeling (SEM). Then, using the artifi-cial neural network model, the importance of each of the model variables in pre-dicting employee satisfaction with RW was identified. Results: The findings of this article ultimately disclosed that work-life balance, in-stitutional and technological support, job satisfaction, and perceived limited com-munication are, respectively, are elements that affect employee satisfaction with RW. The first three factors are drivers of employee satisfaction and the last factor (i.e., perceived limited communication) is the constraint of employee satisfaction with RW because it had a statistically significant negative effect on employee satis-faction with RW. Conclusion: This study revealed that organizations should focus on the processes and strategies to improve employees’ work-life balance, provide institutional and technological support during remote work, and increase job satisfaction in order to increase the satisfaction level of their employees in the remote work. On the other hand, it was found that perceived limited communication is an effective factor that causes a decrease in the level of satisfaction of employees in remote work.
Ključne besede: remote work, employee satisfaction, structural equation modeling, multilayer per-ceptron, artificial intelligence, artificial neurol network, Covid 19 pandemic
Objavljeno v DKUM: 08.10.2025; Ogledov: 0; Prenosov: 1
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Opis: : The expectations for the (re)use of open government data (OGD) are high. However, measuring their impact remains challenging, as their effects are not solely economic but also long-term and spread across multiple domains. To accurately assess these impacts, we must first understand where they occur. This research presents a structured approach to developing a taxonomy for open government data (OGD) impact areas using machine learning-driven topic modeling and iterative taxonomy refinement. By analyzing a dataset of 697 OGD use cases, we employed various machine learning techniques—including Latent Dirichlet Allocation (LDA), Non-Negative Matrix Factorization (NMF), and Hierarchical Dirichlet Process (HDP)—to extract thematic categories and construct a structured taxonomy. The final taxonomy comprises seven high-level dimensions: Society, Health, Infrastructure, Education, Innovation, Governance, and Environment, each with specific subdomains and characteristics. Our findings reveal that OGD’s impact extends beyond governance and transparency, influencing education, sustainability, and public services. Our approach provides a scalable and data-driven methodology for categorizing OGD impact areas compared to previous research that relies on predefined classifications or manual taxonomies. However, the study has limitations, including a relatively small dataset, brief use cases, and the inherent subjectivity of taxonomic classification, which requires further validation by domain experts. This research contributes to the systematic assessment of OGD initiatives and provides a foundational framework for policymakers and researchers aiming to maximize the benefits of open data.
Ključne besede: open government data, topic modeling, taxonomy development, machine learning
Objavljeno v DKUM: 28.08.2025; Ogledov: 0; Prenosov: 4
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Opis: What is the rational response to a scientific disagreement? Many epistemologists argue that disagreement with an epistemic peer should generally lead to conciliation by lowering confidence in the disputed belief or even suspending judgment altogether. Although this conciliatory approach is widely regarded as a norm of individual rationality, its value in the context of collective scientific inquiry is less clear. Some have even raised concerns that conciliating in scientific disagreements may slow progress or reduce the efficiency of inquiry. In this article,we introduce a novel agent-based model that captures key aspects of scientific disagreement by incorporating both epistemic norms, which govern belief revision, and zetetic norms, which guide how scientists pursue inquiry. Our results indicate that the effects of conciliating in the face of disagreement—whether detrimental or beneficial—depend on the zetetic norms that scientists follow. When scientists focus on exploiting the hypothesis that they believe is most likely to succeed, remaining steadfast is more effective. However, with exploratory scientists, conciliation does not negatively affect group performance. These findings highlight the critical role of zetetic norms in determining the rational response to disagreement in scientific practice.
Ključne besede: scientific disagreement, scientific inquiry, agent-based modeling, Zetetic norms, Bandit models, peer disagreement
Objavljeno v DKUM: 27.08.2025; Ogledov: 0; Prenosov: 6
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