Iskanje po katalogu digitalne knjižnice

Opis: This Doctoral Thesis deals with the mechanisms for cross-border interchange and activation of the regulating reserves (RRs), i.e., Imbalance Netting Process (INP) and Cross-Border Activation of the RRs (CBRR), between participating Control Areas (CAs), to reduce the costs of balancing energy. The main objective of INP is to interchange the RRs between participating CAs with opposite signs of interchange power variation. In comparison, the main objective of CBRR is to activate the RRs in participating CAs with the same signs of interchange power variation. Both the INP and CBRR aim to release the RRs and reduce balancing energy as part of the power system's safe operation. The Thesis's main objective is to analyze the impact of the mechanisms for cross-border interchange and activation of the RRs on mutual oscillations of participating CAs and stability for small disturbances. The Thesis's secondary objective is to analyze the impact of the INP and CBRR on frequency quality, on the provision of Load-Frequency Control (LFC), on balancing energy and unintended exchange of energies between participating CAs. Frequency quality in Continental Europe (CE) has been declining in recent years, so it is important that the mechanisms for cross-border interchange and activation of the RRs do not further impair its quality. Both the classic INP and CBRR include a frequency-dependent contribution and, therefore, inherently affect the frequency response of the participating CAs, which is not discussed in the literature. Thus, the impact of the classic INP and CBRR on frequency quality and the provision of LFC is thoroughly evaluated with dynamic simulations of a three-CA test system and eigenvalue analysis of a two-CA system. It is demonstrated that both the classic INP and CBRR reduce the damping of the entire power system. Therefore, a modified implementation of the classic INP and CBRR is presented, and improved INP and CBRR are proposed, which have no impact on the mutual oscillations of participating CAs and stability for small disturbances. Furthermore, the dynamic simulations results confirm that the frequency quality can be improved by the classic INP and CBRR, although there are also cases where it can deteriorate. However, the improved INP and CBRR generally improve the frequency quality in all cases. The improved INP and CBRR also enhance the provision of LFC compared to the classic INP and CBRR. Moreover, the improved INP and CBRR reduce the unintended exchange of energies, thus increasing the economic effects of the INP's and CBRR's activation. The improved INP increases energy exchange, therefore positive economic benefits can be expected in comparison to the system with the classic INP. However, the improved CBRR reduces energy exchange, therefore positive economic benefits can be expected in comparison to the system with the classic CBRR, since energy exchange is paid by CA via bidding process.
Ključne besede: load-frequency control, imbalance netting, cross-border activation, balancing energy, regulating reserves, eigenvalue analysis, performance indicators, area control error, rate of change of frequency, control area
Objavljeno v DKUM: 09.03.2023; Ogledov: 58; Prenosov: 14
Celotno besedilo (14,64 MB)

Opis: The increasing number of network-shaped domains calls for the use of graph database technology, where there are continuous efforts to develop mechanisms to address domain challenges. Relationships as 'first-class citizens' in graph databases can play an important role in studying the structural and behavioural characteristics of the domain. In this dissertation, we focus on studying the cardinality constraints mechanism, which also exploits the edges of the underlying property graph. The results of our literature review indicate an obvious research gap when it comes to concepts and approaches for specifying and representing complex cardinality constraints for graph databases validated in practice. To address this gap, we present a novel and comprehensive approach called the k-vertex cardinality constraints model for enforcing higher-order cardinality constraints rules on edges, which capture domain-related business rules of varying complexity. In our formal k-vertex cardinality constraint concept definition, we go beyond simple patterns formed between two nodes and employ more complex structures such as hypernodes, which consist of nodes connected by edges. We formally introduce the concept of k-vertex cardinality constraints and their properties as well as the property graph-based model used for their representation. Our k-vertex model includes the k-vertex cardinality constraint specification by following a pre-defined syntax followed by a visual representation through a property graph-based data model and a set of algorithms for the implementation of basic operations relevant for working with k-vertex cardinality constraints. In the practical part of the dissertation, we evaluate the applicability of the k-vertex model on use cases by carrying two separate case studies where we present how the model can be implemented on fraud detection and data classification use cases. We build a set of relevant k-vertex cardinality constraints based on real data and explain how each step of our approach is to be done. The results obtained from the case studies prove that the k-vertex model is entirely suitable to represent complex business rules as cardinality constraints and can be used to enforce these cardinality constraints in real-world business scenarios. Next, we analyze the performance efficiency of our model on inserting new edges into graph databases with varying number of edges and outgoing node degree and compare it against the case when there is no cardinality constraints checking. The results of the statistical analysis confirm a stable performance of the k-vertex model on varying datasets when compared against a case with no cardinality constraints checking. The k-vertex model shows no significant performance effect on property graphs with varying complexity and it is able to serve as a cardinality constraints enforcement mechanism without large effects on the database performance.
Ključne besede: Graph database, K-vertex cardinality constraint, Cardinality, Business rule, Property graph data model, Property graph schema, Hypernode, Performance analysis, Fraud detection, Data classification
Objavljeno v DKUM: 10.08.2022; Ogledov: 253; Prenosov: 44
Celotno besedilo (3,43 MB)

Opis: Notary's escrow is a legal relationship between the notary and the parties to the underlying legal transaction, which is generally a sales agreement. Notary's escrow is regulated with mandatory statutory rules commissioning public notaries and the rules of the mandate agreement. Mutual obligations of the parties to the underlying legal transaction in and of themselves do not influence the notary's obligations under a notary's escrow agreement unless they are included in the notary's escrow agreement as a constituent part thereof. Slovenian legislation stipulates the general conditions of notaries' operations. However, it does not stipulate specific conditions that must be fulfilled in order to place documents, funds and securities into escrow with a notary, nor does it stipulate the mandatory component elements of the escrow order. Therefore, The Slovenian regulation of notary's escrow should be supplemented.
Ključne besede: escrow services, notaries' escrow services, notary escrow of funds, notary escrow of documents, selling real estate, conditions of notary's escrow, risk of non-performance, legitimate interest for notary escrow
Objavljeno v DKUM: 15.01.2021; Ogledov: 491; Prenosov: 0

Opis: V magistrskem delu raziskujemo, kako in zakaj je lahko ples osnova za ustvarjanje v grafični tehniki monotipija. Osredotočili smo se na telo in korake plesalke ali plesalca, ki preko gibanja puščajo sledi. Poleg tega smo vključili še glasbo in na ta način povezali tri različna umetniška področja. Magistrska naloga je sestavljena iz treh delov: v prvem delu so predstavljeni umetniki, ki so se ukvarjali z raziskovanjem gibanja človeškega telesa v povezavi z likovno in vizualno umetnostjo. Predstavili smo načine izražanja in medije, v katerih so predstavljena njihova umetniška dela. V magistrskem delu se osredotočamo na gibanje človeškega telesa, zato smo v prvem delu več poudarka dali performansu (performance art), plesu, glasbi in grafični tehniki monotipiji, s katero smo to gibanje lahko prikazali. Umetnike in pojme smo predstavili teoretično in zgodovinsko. V drugem delu magistrskega dela je predstavljena delavnica, ki smo jo izvedli z dijaki. Pod našim mentorstvom so svobodno, brez koreografije, plesali na izbrano glasbo, sami pa so določili tudi barvo. Zanimalo nas je, kaj so ob plesnem izražanju občutili in kakšna je bila njihova celotna izkušnja delavnice. S predstavitvijo grafike na sodoben način smo se želeli poglobiti v njihov svet, se jim približati in jih razumeti. Poleg tega smo predstavili različne vrste plesa, barve, zvrsti glasbe ter analizo nastalih grafičnih del dijakov. V tretjem delu predstavljamo svoja grafična dela narejena s pomočjo izbranih družabnih plesov. V tem delu se osredotočamo na likovno analizo različnih monotipij, ki so narejene na dva načina: z vnaprej določenimi koraki in svobodnim izražanjem. Zanimala nas je razlika med tema dvema pristopoma. Menimo, da je smiselno povezovanje različnih vrst umetnosti, saj smo skozi izvedbo delavnice ugotovili, da je takšno likovno izražanje za mladostnike zelo zanimivo in koristno.
Ključne besede: Performance art, grafika, ples, glasba, barve
Objavljeno v DKUM: 28.01.2020; Ogledov: 1151; Prenosov: 158
Celotno besedilo (3,62 MB)

Opis: Social media (SM) is challenging the traditional relationship between enterprises and customers. The flow of information has become multidirectional, interconnected and difficult to predict. In order to create superior customer experiences, enterprises need to systematically use SM together with other customer relationship management (CRM) technologies. Customer loyalty and satisfaction can only be achieved through effective use of social media. Despite a rich body of literature on CRM innovation adoption, there is lack of research on social CRM adoption and its use, especially with regard to micro, small and medium-sized enterprises (SMEs). Specifically, studies focus either on the of social CRM adoption factors or on the impact of social CRM use on customer relationship performance. Therefore, there is a need for comprehensive representation of the entire chain of social CRM adoption constituted by the adoption factors, the extent of social CRM adoption and its influence on customer relationship performance. The aim of this research is to provide a conceptual clarity of the extent of social CRM adoption and develop a research model for exploring the effect of different factors on the extent of social CRM adoption and the impact of the extent of social CRM adoption on customer relationship performance in the context of B2C SMEs. In order to achieve a more comprehensive overview of the phenomenon under investigation, this study employed an exploratory, sequential mixed method approach. Based on the literature review, semi-structured interviews were conducted with six purposefully selected B2C SMEs. The findings from the qualitative phase of the study were used to develop a research model that guided the quantitative phase of the study. The empirical data were collected using self-administrated questionnaires. The data analysis was based on 119 B2C SMEs in Slovenia. The findings confirmed that social CRM is a complex phenomenon even for SMEs and suggest two-dimensional conceptualization of the extent of social CRM use: customer-facing processes and relational information processes. Regarding the factors of the extent of social CRM use our findings revealed that they are diverse, ranging from technological, organizational, to environmental. Furthermore, empirical evidence from this research also suggests that extensive use of social CRM positively affects customer relationship performance. All in all, through the theoretical discussion and empirical assessment, the thesis provides more detailed insights into the B2C SMEs social CRM adoption situation and provides a basis for further research.
Ključne besede: social CRM, extent of social CRM adoption, adoption factors, customer relationship performance
Objavljeno v DKUM: 24.07.2018; Ogledov: 1472; Prenosov: 217
Celotno besedilo (2,70 MB)