Iskanje po katalogu digitalne knjižnice

Opis: Experience shows that knowledge transfer and understanding of fundamental FPGA principles are greatly improved by exercising laboratory practices and manual hands-on operations. Hence, a case study was performed on two didactic platforms for students of intelligent control techniques that were upgraded with FPGAs to be involved in laboratory practices. Among others, platforms allow implementation of traditional linear control algorithms, such as PID, or modern non-linear control algorithms, such as fuzzy logic or artificial neural networks. Initially, the underlying physics can be carefully studied, and the mathematical model can be derived. Then, such a model can be discretized into its digital form, an appropriate controller can be designed, and its performance can be compared to the known benchmark. Controllers and control parameters can be practiced by students themselves, offering underlying potential for improving students’ understanding of the fundamentals of FPGA.
Ključne besede: fuzzy logic controller, didactic tool, practicing laboratory works, understanding fundamental FPGA principles
Objavljeno v DKUM: 09.12.2025; Ogledov: 0; Prenosov: 4
Celotno besedilo (11,85 MB)

Opis: Forming optimal peer groups is a crucial step in multiplier valuation. Among others, the traditional regression methodology requires the definition of the optimal set of peer selection criteria and the optimal size of the peer group a priori. Since there exists no universally applicable set of closed and complementary rules on selection criteria due to the complexity and the diverse nature of firms, this research exclusively examines unlisted companies, rendering direct comparisons with existing studies impractical. To address this, we developed a bespoke benchmark model through rigorous regression analysis. Our aim was to juxtapose its outcomes with our unique approach, enriching the understanding of unlisted company transaction dynamics. To stretch the performance of the linear regression method to the maximum, various datasets on selection criteria (full as well as F- and NCA-optimized) were employed. Using a sample of over 20,000 private firm transactions, model performance was evaluated employing multiplier prediction error measures (emphasizing bias and accuracy) as well as prediction superiority directly. Emphasizing five enterprise and equity value multiples, the results allow for the overall conclusion that the self-organizing map algorithm outperforms the traditional linear regression model in both minimizing the valuation error as measured by the multiplier prediction error measures as well as in direct prediction superiority. Consequently, the machine learning methodology offers a promising way to improve peer selection in private firm multiplier valuation.
Ključne besede: private firm valuation, multiples, peer group, peer selection, artificial intelligence, self-organizing map
Objavljeno v DKUM: 01.07.2025; Ogledov: 0; Prenosov: 4
Celotno besedilo (673,36 KB)
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Opis: This paper proposes two hybrid approaches based on Autoencoders (AEs) for long-term temperature prediction. The first algorithm comprises an AE trained to learn temperature patterns, which is then linked to a second AE, used to detect possible anomalies and provide a final temperature prediction. The second proposed approach involves training an AE and then using the resulting latent space as input of a neural network, which will provide the final prediction output. Both approaches are tested in long-term air temperature prediction in European cities: seven European locations where major heat waves occurred have been considered. The longterm temperature prediction for the entire year of the heatwave events has been analysed. Results show that the proposed approaches can obtain accurate long-term (up to 4 weeks) temperature prediction, improving Persistence and Climatology in the benchmark models compared. In heatwave periods, where the persistence of the temperature is extremely high, our approach beat the persistence operator in three locations and works similarly in the rest of the cases, showing the potential of this AE-based method for long-term temperature prediction.
Ključne besede: autoencoder, temperature prediction, hybrid models, heatwave
Objavljeno v DKUM: 29.01.2025; Ogledov: 0; Prenosov: 3
Celotno besedilo (1,82 MB)

Opis: V diplomski nalogi sem raziskal uporabo FPGA platforme za regulacijo sistema lebdenja lahke žogice. Namen dela je bil ustvariti izobraževalni model, ki pokaže lastnosti PID regulacije in prednosti uporabe FPGA pri regulaciji. Uporabil sem PID regulacijo za doseganje stabilnosti in hitrosti odziva. Rezultati so pokazali, da sistem učinkovito sledi referenčni vrednosti in hitro reagira na spremembe. Sistem je stabilen, brez statičnega pogreška. Kljub nekaterim izzivom z motnjami je regulacija uspešna. Nadaljnje delo bi lahko izboljšalo odzivnost na motnje in natančnost sistema.
Ključne besede: FPGA, PID regulacija, lebdenje, Dewesoft
Objavljeno v DKUM: 14.10.2024; Ogledov: 0; Prenosov: 50
Celotno besedilo (5,34 MB)

Opis: Population health and wellbeing is both a result, as well as a driver, of economic development and prosperity on global, European, national and sub-national (local) levels. Wales, one of the four United Kingdom (UK) nations, has shown a long-term commitment to sustainable development and achieving prosperity for all, providing a good example of both national and sub-national level, which can be useful for other European countries and regions. In this paper, the economic importance of the healthcare sector to the Welsh economy is explored. We use a large number of data sources for the UK and Welsh economy to derive an economic model for 2017. We estimate output, income, employment, value-added, and import multipliers of the healthcare sector. Results suggest that the healthcare sector has an above average contribution in four explored economic aspects of the Welsh economy (output, income, employment, value-added), according to its impact on the surrounding economic ecosystem. Also, it is below average regarding leaking through imports. The multipliers' values offer empirical evidence when deciding on alternative policy actions. Such actions can be used as a stimulus for encouraging regional development and post-COVID economic recovery. Our study refers to the Welsh healthcare sector's economic impact as a whole. Therefore, we suggest investigating the economic impact of individual healthcare providers in the future.
Ključne besede: input-output analysis, healthcare sector, Wales, impact analysis, economy of wellbeing
Objavljeno v DKUM: 17.06.2024; Ogledov: 181; Prenosov: 20
Celotno besedilo (544,71 KB)
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