Iskanje po katalogu digitalne knjižnice

Opis: Nowadays, technological progress has promoted the integration of artificial intelligence into modern human lives rapidly. On the other hand, extreme weather events in recent years have started to influence human well-being. As a result, these events have been addressed by artificial intelligence methods more and more frequently. In line with this, the paper focuses on searching for predicting the air temperature in a particular Slovenian micro-location by using a weather prediction model Maximus based on a longshort term memory neural network learned by the long-term, lower-resolution dataset CERRA. During this huge experimental study, the Maximus prediction model was tested with the ICON-D2 general-purpose weather prediction model and validated with real data from the mobile weather station positioned at a specific micro-location. The weather station employs Internet of Things sensors for measuring temperature, humidity, wind speed and direction, and rain, while it is powered by solar cells. The results of comparing the Maximus proposed prediction model for predicting the air temperature in micro-locations with the general-purpose weather prediction model ICON-D2 has encouraged the authors to continue searching for an air temperature prediction model at the micro-location in the future.
Ključne besede: long short-term memory neural networks, air temperature, micro-location, prediction, weather, Internet of Things
Objavljeno v DKUM: 25.09.2025; Ogledov: 0; Prenosov: 4
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Opis: Background/Purpose: The aim of this paper is to examine the use of project management practices in Slovenian micro and small firms (MSFs) and to identify project success factors (SF) and project success criteria (SC). Methods: Research was conducted on a sample of 51 micro and 41 small firms in Slovenia. Data about project SF, SC, most influential decision makers on projects, to which extent selected project management tools are used, and about employment of full-time project managers in MSFs was gathered. Descriptive statistics was used for questionnaire survey data analysis. Similarities and differences between project management practices of micro and small firms were studied. Results: Results show that ‘Clearly defined project objectives’ is the most important project SF, and ’Customer satisfaction’ is the most important project SC in MSFs. The owner/director of the firm has been identified as the most influential decision maker on projects. Results reveal that ’Clearly defined project objectives’ are identified as the most important for project success in MSFs. Conclusion: Understanding project SF and SC in MSFs and the involvement of project SF and SC in decision making can improve project management practices in MSFs. Based on the results of this study and other similar studies, it can be summarised that managers and decision makers can improve project success by focusing on a narrow area which is defined as project SF. A focus on clearly defined project objectives in the project planning phase is identified as the most important project SF in MSFs. Results also show that customer satisfaction regarding projects is the most important project SC and impacts project success in MSFs.
Ključne besede: project, success, factor, micro, small, firm, Slovenia
Objavljeno v DKUM: 13.08.2025; Ogledov: 0; Prenosov: 3
Celotno besedilo (668,96 KB)
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Opis: The pandemic of COVID-19 disease has brought many challenges in the field of personal protective equipment. The amount of disposable surgical masks (DSMs) consumed increased dramatically, and much of it was improperly disposed of, i.e., it entered the environment. For this reason, it is crucial to accurately analyze the waste and identify all the hazards it poses. Therefore, in the present work, a DSM was disassembled, and gravimetric analysis of representative DSM waste was performed, along with detailed infrared spectroscopy of the individual parts and in-depth analysis of the waste. Due to the potential water contamination by micro/nanoplastics and also by other harmful components of DSMs generated during the leaching and photodegradation process, the xenon test and toxicity characteristic leaching procedure were used to analyze and evaluate the leaching of micro/nanoplastics. Micro/nanoplastic particles were leached from all five components of the mask in an aqueous medium. Exposed to natural conditions, a DSM loses up to 30% of its mass in just 1 month, while micro/nanoplastic particles are formed by the process of photodegradation. Improperly treated DSMs pose a potential hazardous risk to the environment due to the release of micro/nanoparticles and chloride ion content.
Ključne besede: DSM, micro/nanoparticles, leaching, artificial weathering, environmental pollution
Objavljeno v DKUM: 26.03.2025; Ogledov: 0; Prenosov: 6
Celotno besedilo (3,75 MB)
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Opis: An integrated top-down methodology for assessing and promoting progress towards a circular economy at macro (national) and micro (company) levels is presented. It is based on the MICRON (MIcroCirculaR ecOnomy iNdex) framework developed by Baratsas et al. (2022) for companies. In this paper, it has been extended to enable a consistent assessment for companies and countries. The methodology facilitates the analysis of key categories: energy, emissions, water, materials, and waste. A quantitative analysis of circularity, including a sensitivity analysis, is conducted at the macro level, identifying critical areas and the most influential factors for the circular economy. Based on this analysis, existing national strategies are evaluated, and implementation plans with specific measures are developed. This is followed by micro-level implementation, which involves techno-economic assessment of circular projects. Using this methodology, coordinated improvements in circularity are achieved at all levels. The methodology was tested in Slovenia, where the national circularity index revealed stable performance over five years, averaging slightly above 50 points out of 100. Analysis identified significant improvement potential in areas such as energy and emissions, aligning with the country's focus on decarbonization and energy efficiency in its climate strategies. At the company level, circularity assessments highlighted critical challenges in renewable energy use and overall energy efficiency. The proposed measures showed potential for significantly improving circularity and reducing emissions, while the results provided valuable insights into the economic feasibility of these transitions.
Ključne besede: circular economy, integrated assessment framework, micro level, energy transition, renewable energy
Objavljeno v DKUM: 10.02.2025; Ogledov: 0; Prenosov: 6
Celotno besedilo (9,03 MB)

Opis: This paper presents a simulation model for determining the most suitable type of microbiogas plant for small local communities on Slovenian farms, focusing on the efficient processing of organic waste. This model uses various input parameters, including different types and quantities of slurry and corn silage. Four different scenarios were developed to represent potential plant sizes, each evaluated using key economic indicators: net present value, breakthrough price, and internal rate of return. A scenario sensitivity analysis was conducted to assess the effects of changes in investment costs, fluctuations in energy prices, and the addition of corn silage to the anaerobic digestion process. The results highlight significant differences in economic viability across the scenarios, with some demonstrating positive financial outcomes and shorter payback periods and others indicating potential financial risks and longer recovery times under certain conditions. The analysis suggests that smaller micro biogas plants may struggle to achieve profitability without optimizing input ratios or reducing costs, whereas larger plants show more favorable economic indicators, provided certain conditions are met. Furthermore, the economic efficiency improves when adding maize silage to the fermentor mixture.
Ključne besede: micro biogas plant, biogas, economic efficiency, simulation
Objavljeno v DKUM: 27.11.2024; Ogledov: 0; Prenosov: 14
Celotno besedilo (861,79 KB)
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