Iskanje po katalogu digitalne knjižnice

Opis: Intervention projects for historical buildings depend on the quality of multidisciplinary data sets; their collection, structure, and semantics. Building information model (BIM) based workflows for historical buildings accumulate some of the data sets in a shared information model that contains the building’s geometry assemblies with associated attributes (such as material). A BIM model of any building can be a source of data for different engineering assessments, for example, solar and wind exposure and seismic vulnerability, but for historic buildings it is particularly important for interventions like conservation, rehabilitation, and improvements such as refurbishment and retrofitting. When the BIM model is abstracted to a semantic model, enabling the use of semantic technologies such as reasoning and querying, semantic links can be established to other historical contexts. The semantic technologies help historic building experts to aggregate data into meaningful form. Ontologies provide them with an accurate knowledge representation of the concepts, relationships, and rules related to the historic building. In the paper, we are proposing an improved workflow for the transformation of a heritage BIM model to a semantic model. In the BIM part the workflow demonstrates how the fully parametric modelling of historical building components is relevant, for example, in terms of reusability and adaptation to a different context. In the semantic model part, ontology reuse, reasoning, and querying mechanisms are applied to validate the usability of the proposed workflow. The presented work will improve knowledge-sharing and reuse among stakeholders involved in historic building projects.
Ključne besede: heritage building information modelling (H-BIM), algorithmic design, semantic model, ifcOWL, Erlangen CRM, OWL, SPARQL
Objavljeno v DKUM: 13.03.2025; Ogledov: 0; Prenosov: 1
Celotno besedilo (5,00 MB)
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Opis: The paper presents a mathematical model for the optimal security-technology investment evaluation and decision-making processes based on the quantitative analysis of security risks and digital asset assessments in an enterprise. The model makes use of the quantitative analysis of different security measures that counteract individual risks by identifying the information system processes in an enterprise and the potential threats. The model comprises the target security levels for all identified business processes and the probability of a security accident together with the possible loss the enterprise may suffer. The selection of security technology is based on the efficiency of selected security measures. Economic metrics are applied for the efficiency assessment and comparative analysis of different protection technologies. Unlike the existing models for evaluation of the security investment, the proposed model allows direct comparison and quantitative assessment of different security measures. The model allows deep analyses and computations providing quantitative assessments of different options for investments, which translate into recommendations facilitating the selection of the best solution and the decision-making thereof. The model was tested using empirical examples with data from real business environment.
Ključne besede: modelling, security technology, economic metrics, investment, enterprise information system
Objavljeno v DKUM: 22.01.2018; Ogledov: 1235; Prenosov: 429
Celotno besedilo (2,18 MB)
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Opis: In the master’s thesis, the main potentials, challenges and usage of Information Building Modelling (BIM) in Slovenia, Austria, Germany and Switzerland are presented, including its, because BIM is currently the most widely discussed topic in civil engineering. The study was based on a questionnaire that was carefully created at the HSLU (Hochschule Luzern) in Switzerland. We participated in the last phases of its development. With the help of the results of the questionnaire, we evaluated the current usage and acceptance of BIM among all participants in the building process.
Ključne besede: civil engineering, BIM, Building Information Modelling, BIM metrics
Objavljeno v DKUM: 25.09.2017; Ogledov: 2247; Prenosov: 252
Celotno besedilo (6,88 MB)
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Opis: Knowledge has been recognized as currency for organizational sustenance and competitive advantage and is the most prominent among traditional factors of production, such as land, labour and capital. Human resource management (HRM) includes decisions that affect the success of business, all with aim of achieving long-term goals. This thesis supports the premise of relationship between HRM and knowledge management (KM) with focus on information solutions and aims to elaborate on this link from the aspect of ICT companies. Four major parts in this thesis can be distinguished: first three concern the literature analysis of current findings and fourth part covers methodology, data analysis and conclusion. In the first part, current literature findings in the field of human resource management, its functions, applications, IT systems and previous research from Slovenia and Croatia are presented. HRM is observed through HRM functions (recruitment and selection; training and development; performance appraisal). In addition to functions, various research has been done in the field of best practices, which lead to enhancement of HR. These HR best practices are considered as important factors for successful knowledge management development. This thesis tries to present and comprehend the best practises of HRM through literature analysis and classification. Second part of the literature analysis concerns the knowledge management processes, systems and mechanisms, which are explained and supported with current research results. In the third part, findings on the relationship between HRM and KM are analysed providing a conceptual model for empirical research. This doctoral thesis focuses on two aims: the analysis of previous research findings in two perspective fields (human resource management and knowledge management) and developing and testing a conceptual model that would explain the relationship between them. Achieving these aims required a comprehensive preliminary research; involvement of experts in the field of HRM and a whole set of recent statistical techniques and findings to be applied for data analysis and interpretation. Three main hypotheses and a conceptual model regarding KM and HRM were formed based on literature findings. A total of 274 completed responses were received from companies. For data analysis and hypothesis software tool the SmartPLS is used. In ICT companies and IT departments in Slovenia and Croatia, the relationship between HRM functions and effective factors with knowledge management and information solutions is analysed. Data analysis showed that in most case there is not a large difference between Slovenian and Croatian companies when it comes to HRM functions and KM solutions. One of the major contributions is the analysis of literature evidence and providing new classification and categorization of the HRM best practice. Accordingly, after literature analysis, indicators of the HR best practice were categorized into two effective factors: Work design structures (sub-factors: Design of Work and Design of relationship) and Encouraging and opportunity structures. Second contribution are the hypothesis testing through which relationship between effective factor and knowledge management, and HRM functions, information solutions and knowledge management was analyzed. Data for this thesis was collected through online questionnaire administered to ICT companies in Slovenia and Croatia. This dissertation systemizes current literature findings in two perspective field and it offers an inside in the ICT companies form Slovenia and Croatia. Due to the fact that such research has not yet been done in Slovenia and Croatian nor systematization and classifications of best practices has been provided, this dissertation contributes to the field of human research management and knowledge management through theoretical and empirical findings.
Ključne besede: Human Resources Management, Knowledge Management, Knowledge Management Information Solutions, IT companies, Structural Equation Modelling
Objavljeno v DKUM: 24.04.2015; Ogledov: 2381; Prenosov: 230
Celotno besedilo (2,38 MB)

Opis: Encyclopedia of Complexity and Systems Science provides an authoritative single source for understanding and applying the concepts of complexity theory together with the tools and measures for analyzing complex systems in all fields of science and engineering. The science and tools of complexity and systems science include theories of self-organization, complex systems, synergetics, dynamical systems, turbulence, catastrophes, instabilities, nonlinearity, stochastic processes, chaos, neural networks, cellular automata, adaptive systems, and genetic algorithms. Examples of near-term problems and major unknowns that can be approached through complexity and systems science include: The structure, history and future of the universe; the biological basis of consciousness; the integration of genomics, proteomics and bioinformatics as systems biology; human longevity limits; the limits of computing; sustainability of life on earth; predictability, dynamics and extent of earthquakes, hurricanes, tsunamis, and other natural disasters; the dynamics of turbulent flows; lasers or fluids in physics, microprocessor design; macromolecular assembly in chemistry and biophysics; brain functions in cognitive neuroscience; climate change; ecosystem management; traffic management; and business cycles. All these seemingly quite different kinds of structure formation have a number of important features and underlying structures in common. These deep structural similarities can be exploited to transfer analytical methods and understanding from one field to another. This unique work will extend the influence of complexity and system science to a much wider audience than has been possible to date.
Ključne besede: cellular automata, complex networks, computational nanoscience, ecological complexity, ergodic theory, fractals, game theory, granular computing, graph theory, intelligent systems, perturbation theory, quantum information science, system dynamics, traffic management, chaos, climate modelling, complex systems, dynamical sistems, fuzzy theory systems, nonlinear systems, soft computing, stochastic processes, synergetics, self-organization, systems biology, systems science
Objavljeno v DKUM: 01.06.2012; Ogledov: 2813; Prenosov: 148
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