CEEOL - Advanced Search

Critical University Studies and the Defense of the Public University: Neoliberalism, Knowledge Socialism and Science as a Global Public Good

4.50 €

Preview

Critical University Studies and the Defense of the Public University: Neoliberalism, Knowledge Socialism and Science as a Global Public Good

Author(s): Michael A. Peters / Language(s): English / Issue: 22/2023

Keywords: critical university studies; defense of public university; neoliberalism; knowledge socialism; global public goods;

This paper proposes an argument for the defence of the public university in discussion of the field of Critical University Studies by examining the assault on the notion of the public and the public sphere by neoliberal policies. It elaborates an argument concerning the critique of neoliberalism and puts forward the idea of science as a global public good in the name of ‘knowledge socialism’ (as opposed to knowledge capitalism, or the knowledge economy). In particular it champions open science as a necessary public platform for the open science digital university and draws the interconnections between the idea of ‘knowledge socialism’ and open science as a global public good.

More...

Metaverse and Digital Twin Technologies, Machine Learning and Image Processing Computational Algorithms, and Geospatial Analytics and Simulation Modeling Tools in Interactive Virtual and Extended Reality Environments

4.50 €

Preview

Metaverse and Digital Twin Technologies, Machine Learning and Image Processing Computational Algorithms, and Geospatial Analytics and Simulation Modeling Tools in Interactive Virtual and Extended Reality Environments

Author(s): Jakub Horák,Raluca-Stefania Balica / Language(s): English / Issue: 22/2023

Keywords: metaverse; digital twin technologies; machine learning; image processing computational algorithms; geospatial analytics; simulation modeling tools; interactive virtual and extended reality environment

We draw on a substantial body of theoretical and empirical research on metaverse and digital twin technologies, machine learning and image processing computational algorithms, and geospatial analytics and simulation modeling tools. In this research, prior findings were cumulated indicating that simulation modeling and computational intelligence tools, sentiment analytics, and metaverse assets and services enable interactive virtual and extended reality environments. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout April 2023, with search terms including “interactive virtual and extended reality environments” + “metaverse and digital twin technologies,” “machine learning and image processing computational algorithms,” and “geospatial analytics and simulation modeling tools.” As we analyzed research published in 2022 and 2023, only 188 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, we decided on 34, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, ROBIS, and SRDR.

More...

Brain-inspired Artificial Intelligence and Machine Learning-based Navigation Algorithms, Spatial Data Visualization and Digital Twin Modeling tools, and Emotion Detection and Recognition Technologies in the Decentralized and Interconnected Metaverse

4.50 €

Preview

Brain-inspired Artificial Intelligence and Machine Learning-based Navigation Algorithms, Spatial Data Visualization and Digital Twin Modeling tools, and Emotion Detection and Recognition Technologies in the Decentralized and Interconnected Metaverse

Author(s): Sofia Bratu / Language(s): English / Issue: 22/2023

Keywords: brain-inspired artificial intelligence; machine learning; navigation algorithms; spatial data visualization; digital twin modeling tools; emotion detection and recognition technologies; decentralized;

Despite the relevance of synthetic biometric data, human digital twin and haptic object recognition systems, and real-time 3D rendering and visual immersion technologies, only limited research has been conducted on this topic. In this article, I cumulate previous research findings indicating that interactional and contextual data, digital twin and tactile sensing technologies, and behavioral predictive and geospatial big data analytics configure the decentralized and interconnected metaverse. Throughout May 2023, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “the decentralized and interconnected metaverse” + “brain-inspired artificial intelligence and machine learning-based navigation algorithms,” “spatial data visualization and digital twin modeling tools,” and “emotion detection and recognition technologies.” As I inspected research published between 2022 and 2023, only 179 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 30, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, Distiller SR, and MMAT.

More...

Context Awareness and Deep Learning Algorithms, Immersive Visualization and Autonomous Cognitive Systems, and Natural Language Processing and Digital Twin Modeling Tools in the Blockchain-based Metaverse

4.50 €

Preview

Context Awareness and Deep Learning Algorithms, Immersive Visualization and Autonomous Cognitive Systems, and Natural Language Processing and Digital Twin Modeling Tools in the Blockchain-based Metaverse

Author(s): Michael Barker / Language(s): English / Issue: 22/2023

Keywords: context awareness; deep learning algorithms; immersive visualization; autonomous cognitive systems; natural language processing; digital twin modeling tools; blockchain-based metaverse;

The objective of this paper is to systematically review geospatial mapping and 3D virtual space networking tools, visual object tracking and deep learning algorithms, and cloud computing and cognitive artificial intelligence technologies. The findings and analyses highlight that extended reality environments require sensor fusion and 3D path planning algorithms, synthetic biometric data, and ontology-based semantic and 3D immersive virtual reality technologies. Throughout April 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “the blockchain-based metaverse” + “context awareness and deep learning algorithms,” “immersive visualization and autonomous cognitive systems,” and “natural language processing and digital twin modeling tools.” As research published in 2022 and 2023 was in- spected, only 181 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, I selected 30 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.

More...

Holographic Telepresence and Digital Twin Simulation Technologies, 3D Virtual Space Networking and Machine Learning-based Image Recognition Tools, and Environment Mapping and Cognitive Artificial Intelligence Algorithms in a Fully Connected Metavers

4.50 €

Preview

Holographic Telepresence and Digital Twin Simulation Technologies, 3D Virtual Space Networking and Machine Learning-based Image Recognition Tools, and Environment Mapping and Cognitive Artificial Intelligence Algorithms in a Fully Connected Metavers

Author(s): Rebecca Sullivan / Language(s): English / Issue: 22/2023

Keywords: holographic telepresence; digital twin simulation technologies; 3D virtual space networking; machine learning; image recognition tools; environment mapping;

In this article, I cumulate previous research findings indicating that deep learning-based ambient sound processing, spatial audio and edge computing technologies, and event modeling and forecasting tools configure hyper-realistic 3D worlds. I contribute to the literature on context awareness and simulation modeling algorithms, image recognition and cognitive enhancement technologies, and data visualization and virtual navigation tools by showing that the virtual environment of the metaverse integrate modeling and forecasting tools, spatio-temporal fusion and deep learning algorithms, and predictive modeling processes. Throughout May 2023, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “a fully connected metaverse” + “holographic telepresence and digital twin simulation technologies,” “3D virtual space networking and machine learning-based image recognition tools,” and “environment mapping and cognitive artificial intelligence algorithms.” As I inspected research published in 2022 and 2023, only 183 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 35, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, ROBIS, and SRDR.

More...

Virtual Navigation and Digital Twin Simulation Tools, Internet of Things-based Decision Support and Big Data Computing Systems, and Image Recognition and Geolocation Data Processing Algorithms in the Virtual Economy of the Metaverse

4.50 €

Preview

Virtual Navigation and Digital Twin Simulation Tools, Internet of Things-based Decision Support and Big Data Computing Systems, and Image Recognition and Geolocation Data Processing Algorithms in the Virtual Economy of the Metaverse

Author(s): Martin Bugaj,Pavol Durana,George Lăzăroiu / Language(s): English / Issue: 22/2023

Keywords: virtual navigation; digital twin simulation tools; big data computing systems; image recognition; geolocation data processing algorithms; metaverse;

The present study systematically reviews the existing research on virtual immersive and spatial computing technologies, environment perception sensors, and geolocation data mining and tracking. We contribute to the literature by clarifying that Internet of Things-based decision support and big data computing systems, virtual navigation and data mining tools, and spatial computing devices articulate photo-realistic simulation environments. Throughout April 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “the virtual economy of the metaverse” + “virtual navigation and digital twin simulation tools,” “Internet of Things-based decision support and big data computing systems,” and “image recognition and geolocation data processing algorithms.” As research published in 2022 and 2023 was inspected, only 178 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, we selected 30 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Dedoose, Distiller SR, and SRDR.

More...

Machine Learning-based Predictive and Virtual Mapping Algorithms, Immersive Metaverse and Holographic Telepresence Technologies, and 3D Generative Modeling and Multiscale Spatial Data Processing Tools in Extended Reality Environments

4.50 €

Preview

Machine Learning-based Predictive and Virtual Mapping Algorithms, Immersive Metaverse and Holographic Telepresence Technologies, and 3D Generative Modeling and Multiscale Spatial Data Processing Tools in Extended Reality Environments

Author(s): Susan Henley / Language(s): English / Issue: 22/2023

Keywords: machine learning; predictive and virtual mapping algorithms; immersive metaverse; holographic telepresence technologies; 3D generative modeling; multiscale spatial data processing tools;

The purpose of this study is to examine location-based predictive and visual cognitive algorithms, immersive metaverse and holographic telepresence technologies, and digital twin-enabled edge and intelligent sensing networks. I contribute to the literature on digital twin data modeling and visualization, location intelligence data, and ambient intelligence and digital simulation technologies by showing that ambient intelligence environments necessitate hyper-realistic immersive 3D simulations, sentiment recognition and remote sensing technologies, and data mining and visual attention modeling tools. Throughout May 2023, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “extended reality environments” + “machine learning-based predictive and virtual mapping algorithms,” “immersive metaverse and holographic telepresence technologies,” and “3D generative modeling and multiscale spatial data processing tools.” As I inspected research published in 2022 and 2023, only 177 articles satisfied the eligibility criteria. By removing controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, I decided upon 34, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, Dedoose, MMAT, and SRDR.

More...

Immersive Metaverse and Digital Twin Technologies, Deep Learning-based Image Processing and Motion Planning Algorithms, and 3D Virtual Space Networking and Data Visualization Tools in Interactive Digital Worlds

4.50 €

Preview

Immersive Metaverse and Digital Twin Technologies, Deep Learning-based Image Processing and Motion Planning Algorithms, and 3D Virtual Space Networking and Data Visualization Tools in Interactive Digital Worlds

Author(s): Aurel Pera,Mamunur Rashid / Language(s): English / Issue: 22/2023

Keywords: immersive metaverse; digital twin technologies; deep learning; image processing; motion planning algorithms; 3D virtual space networking; data visualization tools; interactive digital worlds;

This paper provides a systematic literature review of studies investigating movement and behavior tracking tools, ambient sound recognition software, and cognitive artificial intelligence and spatial computing technologies. The analysis highlights that deep learning-based sensing and virtual modeling technologies, movement and behavior tracking tools, and metaverse engagement metrics further photorealistic 3D environments. Throughout April 2023, we performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including “interactive digital worlds” + “immersive metaverse and digital twin technologies,” “deep learning-based image processing and motion planning algorithms,” and “3D virtual space networking and data visualization tools.” As we inspected research published in 2022 and 2023, only 184 articles satisfied the eligibility criteria. By eliminating controversial findings, outcomes unsubstantiated by replication, too imprecise material, or having similar titles, we decided upon 37, generally empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, MMAT, and ROBIS.

More...

Neural Network-based Recognition and Virtual Simulation Algorithms, Interactive 3D Geo-Visualization and Neuromorphic Computing Systems, and Tactile Sensing and Cognitive Modeling Technologies in Web3-powered Metaverse Worlds

4.50 €

Preview

Neural Network-based Recognition and Virtual Simulation Algorithms, Interactive 3D Geo-Visualization and Neuromorphic Computing Systems, and Tactile Sensing and Cognitive Modeling Technologies in Web3-powered Metaverse Worlds

Author(s): Katarina Zvarikova,Andrej Novák,Gheorghe H. Popescu / Language(s): English / Issue: 22/2023

Keywords: neural network; recognition and virtual simulation algorithms; interactive 3D geo-visualization; neuromorphic computing systems; tactile sensing; cognitive modeling technologies;

We draw on a substantial body of theoretical and empirical research on movement and behavior tracking tools, remote sensing and geospatial artificial intelligence technologies, and metaverse assets and services. We carried out a quantitative literature review of ProQuest, Scopus, and the Web of Science throughout May 2023, with search terms including “Web3-powered metaverse worlds” + “neural network-based recognition and virtual simulation algorithms,” “interactive 3D geo-visualization and neuromorphic computing systems,” and “tactile sensing and cognitive modeling technologies.” As we analyzed research published in 2022 and 2023, only 187 papers met the eligibility criteria. By removing controversial or unclear findings (scanty/unimportant data), results unsupported by replication, undetailed content, or papers having quite similar titles, we decided on 41, chiefly empirical, sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AMSTAR, Distiller SR, ROBIS, and SRDR.

More...

Remote Sensing and Edge Artificial Intelligence Computing Systems, Environment Perception and Geospatial Mapping Technologies, and Simulation Modeling and Machine Learning-based Image Recognition Tools in the 3D Cognitive Digital Twin Metaverse

4.50 €

Preview

Remote Sensing and Edge Artificial Intelligence Computing Systems, Environment Perception and Geospatial Mapping Technologies, and Simulation Modeling and Machine Learning-based Image Recognition Tools in the 3D Cognitive Digital Twin Metaverse

Author(s): Claudia-Irina Aldea / Language(s): English / Issue: 22/2023

Keywords: remote sensing; edge artificial intelligence computing systems; environment perception; geospatial mapping technologies; simulation modeling; machine learning; image recognition tools; 3D cognitive di

This article reviews and advances existing literature concerning geolocation data mining and tracking, machine learning-based object recognition and digital twin technologies, and metaverse engagement metrics. I contribute to the literature by indicating that remote sensing and edge artificial intelligence computing systems, context awareness and machine learning-based image recognition tools, and wearable haptic garments enable immersive hyper-connected virtual spaces. Throughout April 2023, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including “3D cognitive digital twin metaverse” + “remote sensing and edge artificial intelligence computing systems,” “environment perception and geospatial mapping technologies,” and “simulation modeling and machine learning-based image recognition tools.” As research published in 2022 and 2023 was inspected, only 184 articles satisfied the eligibility criteria. By taking out controversial or ambiguous findings (insufficient/irrelevant data), outcomes unsubstantiated by replication, too general material, or studies with nearly identical titles, I selected 41 mainly empirical sources. Data visualization tools: Dimensions (bibliometric mapping) and VOSviewer (layout algorithms). Reporting quality assessment tool: PRISMA. Methodological quality assessment tools include: AXIS, MMAT, ROBIS, and SRDR.

More...

ANALYSIS OF HR PLATFORMS IN BOSNIA AND HERZEGOVINA

Author(s): Dino Arnaut,Damir Bećirović / Language(s): English / Issue: 6/2023

Keywords: HR Platforms; E-Recruitment; TAM; Intention to Use; Bosnia and Herzegovina;

The human resource departments are under pressure to adjust to technological advancement, as employing new employees is an important element in the human resource management (HRM) process and significantly increases the success of the company. E-recruitment is just one of the many HR issues for which the Internet has emerged as a crucial tool. This goal of this paper is to assess the variables that influence people’s attitudes and intentions for using electronic recruitment via HR platforms in Bosnia and Herzegovina. The research was conducted on a suitable sample using the CAWI method from respondents who are jobs seekers and had the opportunity to use e-recruitment. A questionnaire was created to analyze applicants’ intention to use HR platforms. The findings demonstrate that most respondents frequently use internet platforms and websites for recruitment (employment). Most significantly, respondents strongly indicate that they will continue to use these sites. Respondents exhibit an incredibly favorable attitude about internet platforms and websites (HR platforms) for recruitment (employment). The variables ease of use, usefulness, and enjoyment using online platforms/websites for recruitment are all perceived positively by respondents. The results of correlation and regression analysis demonstrate that attitudes towards the platforms are the main determinant of whether a person intends to use online HR platforms or websites for recruiting (employment).

More...

L&D TOOLS AND SOLUTIONS: USE IN THE POSTPANDEMIC WORKPLACE ENVIRONMENT

Author(s): Anida Zahirović Suhonjić,Adnana Beganlić / Language(s): English / Issue: 6/2023

Keywords: Learning and Development; Learning Tools; Post-Pandemic; Knowledge Management;

Digital transformation and COVID-19 pandemic brought many changes in the business world, thus affecting learning and development (L&D) processes and activities. L&D activities are carried out within a company to ensure an environment in which employees and the company will develop, improve and grow. The aim of this paper is to examine which L&D tools and solutions can be used in the post-pandemic workplace environment. The tools and solutions presented in the paper can be a guideline for the responsible managers in terms of the available software, as well as their advantages and disadvantages.

More...

ANALYSIS OF TOTAL FACTOR ENERGY EFFICIENCY OF WESTERN BALKAN COUNTRIES

Author(s): Edin Zahirović,Merima Orlić,Almira Arnaut-Berilo / Language(s): English / Issue: 6/2023

Keywords: Total Factor Energy Efficiency; Western Balkans; SBM-DEA; Window Analysis;

The aim of this research is to examine energy efficiency at the macroeconomic level of the Western Balkan (WB) and the EU countries from 2005 to 2019. Data envelopment analysis (DEA) with a slack-based model (SBM) was used, considering labour, capital and energy as inputs, and GDP and CO2 as desirable and undesirable outputs, respectively. A window analysis was used to capture the changes in energy efficiency over time. The estimation of total factor energy efficiency (TFEE) reveals that the group comprising the top 5 most efficient countries consists of Malta, Montenegro, Italy, France and United Kingdom. In the WB countries, Montenegro consistently maintained high efficiency, while Serbia showed an upward trend with a slight decline between 2013 and 2016. North Macedonia demonstrated a growth trend until 2010, followed by a decline with occasional minor recoveries. In Bosnia and Herzegovina, there is a continuous decline in TFEE with values ranging from 0,66 to 0,4. Albania shows mixed efficiency levels in different years (e.g., 2009, 2012, 2019 efficient; 2005, 2014, 2017 inefficient). In order to achieve efficiency, it is necessary for the WB countries to engage 131,29 PJ less energy for the same amount of output. The TFEE is compared to the values of traditional energy efficiency, and inconsistencies can be observed. Therefore, the WB countries are encouraged to implement a set of institutional, economic, and regulatory measures, along with investing in education and training, partnering and collaborating with the private sector and establish more ambitious energy savings goals within their strategic processes.

More...

THE THEORY OF PLANNED BEHAVIOUR AS PREDICTOR OF ENTREPRENEURIAL INTENTIONS OF STUDENTS IN BOSNIA AND HERZEGOVINA

Author(s): Faruk Sijerčić,Irfan Djedović,Dino Arnaut / Language(s): English / Issue: 6/2023

Keywords: Theory of Planned Behaviour; Entrepreneurial Intention; Personal Attitudes; Subjective Norms; Perceived Behavioural Control;

This study assists in understanding the perceived influence the Theory of planned behaviour (TPB) has on entrepreneurial intention (EI) of students and further show the intricacies of this relationship. The study was conducted inside Bosnia and Herzegovina with a sample of students from different public and private universities with the aim to investigate how the model fairs within the Bosnian cultural and structural environment. The questionnaire was based on previous research and measures to preserve the reliability and validity of the results and SPSS was used to investigate our data through a series of tests. There have only been a few studies relating Theory of Planned behaviour to EI in Bosnia and Herzegovina, so our research supports and follows previous authors conclusions and is a valuable reference in support of future research of entrepreneurial intent in this country. The end goal of proving the TPB is a valuable predictor of entrepreneurial intention is important as it gives added reasoning to foster the constructs in the TPB through structural and educational support proven previously to be strong influences on personal attitudes, subjective norms, and perceived behavioural control. Entrepreneurs from Bosnia and Herzegovina oftentimes overachieve given the lack of educational and governmental support they receive during their career, showing that with a more structured approach B&H is bound to produce higher levels of entrepreneurial success across the board.

More...

IS COMPOSABLE ENTERPRISE THE KEY TO DIGITAL TRANSFORMATION?

Author(s): Dražena Gašpar,Ivica Ćorić,Mirela Mabić / Language(s): English / Issue: 6/2023

Keywords: Composable Enterprise; Digital Transformation; Modular Components;

Using computers and other digital devices is now standard practice in most businesses. Business and personal communication, execution of business tasks, and finding solutions to various business and social challenges are all made possible by digital technology. The digital future of business offers nearly infinite potential for the creation of value for companies. The proliferation of clouds, the increasing number of networked devices, and the increasing number of requirements at the network’s edge are all factors in the development of modern business infrastructures. However, the way business is conducted is being forever altered by digitalization. Organizations are rethinking their architecture strategies and adopting a more modular approach to keep up with the rapid pace of technological advancement. That allows them to construct, assemble, and reassemble essential elements of their businesses with lightning speed, allowing them to capitalize on opportunities as they arise and adapt to threats as they arise without succumbing to their effects. In order to facilitate growth and change, composable businesses are built from modular components that can be easily swapped out. The paper’s main goal is to investigate whether transformation to the composable enterprise is the best road to its effective digital transformation. According to the findings of a critical review of recently published works, developing a composable enterprise architecture necessitates close collaboration among many parties because it removes traditional barriers between business and IT, allowing businesses to provide clients with more personalized application experiences.

More...

IMPACT OF MACROECONOMIC FACTORS ON STOCK MARKET INDICES: EMPIRICAL EVIDENCE FROM GERMANY AND MALAYSIA

Author(s): Irfan Djedović,Edin Djedović,Nadina Omerhodžić / Language(s): English / Issue: 6/2023

Keywords: Stock market; macroeconomic factors; developed economy; developing economy; regression analysis;

This study investigates the impact of the exchange rate, Federal Funds rate (FFR), inflation (CPI), industrial production index (IPI), and CBOE market volatility index (VIX)on stock market indices in both a developed and a developing economy. The research provides empirical evidence regarding the relationship between these macroeconomic factors and stock market performance, shedding light on their influence in different economic contexts. Using comprehensive datasets from the selected economies, the study employs econometric techniques such as regression analysis to examine the effects of these factors on stock market indices. Data for the study is obtained from the International Monetary Fund database and investing.com. Data spans from January 2015 to August 2022. The findings suggest that the exchange rate has a statistically significant impact on stock market returns in both countries, while the CBOE market volatility index (VIX) has a statistically significant impact on stock market returns in Germany. The other observed macroeconomic variables did not show a significant impact on stock market returns in the observed countries. The results provide valuable insights for investors, policymakers, and market participants, enabling them to make informed decisions and develop effective risk management strategies.

More...

ELECTRO-HYDRAULIC CONTROL OF SECTIONS MECHANISED UNDERGROUNDS IN THE “BEGIĆI-BIŠTRANI” PIT RMU “KAKANJ

Author(s): Kasim Bajramović,Irhad Bajramović,Irfan Bajramović / Language(s): English / Issue: 6/2023

Keywords: Automation; information technolog; electro-hydraulic; computer programs; mining;

The subject of this work are the sections of the mechanized hydraulic substructure, which were installed in the “Begići-Bištrani” pit of the RMU “Kakanj”. The complex of mechanized wide front (KMŠČ) consists of wide-front sections with electronic control equipment: signal control units “SCU-signal control unit” or control units, and they are installed on each section to ensure management and monitoring of other technological functions of the system. The results of the research show us that knowledge of world technology, modern mining techniques and the quality of human resources must give new momentum to underground coal exploitation in terms of mass creativity, which will later be taken over by new technological solutions. Real possibilities in the realization of these development tasks are provided by electro-hydraulic control. The starting point for the use of electro-hydraulic control is a quality database. The traditional approach to the database mainly represents a centralized database for underground exploitation, as a recurrence of centralized computer centers and information systems. In the segment of the construction of electro-hydraulic control sections of the mechanized substructure in the “Begići-Bištrani” pit of the RMU “Kakanj”, it is necessary to perform additional analyzes related to the change in the dynamics of data reading, and the implications of such changes. The implications of the fundamental theorem are, therefore, that informatics includes both people (human intellect) and technology, and that in practice it is an interactive partnership. What people can do with information resources depends primarily on what they know about the task at hand. This work aims to show how electro-hydraulic control of sections of mechanized substructure, automation and information technology can improve safety in mines, improve measures and actions to prevent injuries at work, occupational diseases, other diseases related to work and protection of the working environment.

More...

COMPARATIVE ANALYSIS OF DIFFERENT SEGMENTS OF AIR QUALITY SENSORS FOR THE FIELD OF SMART ENVIRONMENT AND THEIR IMPORTANCE FOR THE DEVELOPMENT OF SMART CITIES

Author(s): Valerij Grašič / Language(s): English / Issue: 6/2023

Keywords: Smart City; Smart Environment; Air Quality; IoT; Open Data;

The development of smart cities is considered to consist of several sub-fields and to be conditioned by an ever-increasing number of sensors and IoT devices. These sensors’ data are freely available to a large extent, which is why we call them open data. The field of our research is the smart environment as part of a smart city, more specifically the field of air quality. The mentioned area is very important because through it we can evaluate the quality of the air, both for example, if the quality is bad or if the quality is good. If the quality is bad, it has a negative effect on people’s health. But if the quality is very good, this is an additional argument for raising the quality of people’s lives. For the example of one of the Slovenian cities, we are interested in a comparative analysis of the use of a combination of many different sensor segments. Because in the case of air quality, the sensors can not only be different, but they can also be of completely different quality and offer different capabilities. We are interested in the difference between the sensors, what this means for the air quality measurement itself, what is with the openness of the data, and how is the connection of the data from these different sensors. We are also interested in how we can better assess the air quality for a certain micro-location based on all this data. The given research with the analysis and comparison of different segments of air quality sensors will help us in preparing a comprehensive approach to the control and management of air quality and, consequently, to the development of smart cities.

More...

REVIEWING STUDENT PROJECTS USING AI

Author(s): Selena Kurtić,Mustafa Bešić / Language(s): English / Issue: 6/2023

Keywords: ChatGPT; Student Projects; NLP; Machine Learning; Computer Vision;

The rise of artificial intelligence (AI) has impacted various domains, including education, where the need for efficient assessment methods has grown. This paper explores the application of AI in reviewing student projects, examining its benefits, challenges, and implications for education. The objectives of this paper are twofold. Firstly, we will delve into the various AI techniques employed in the reviewing process, including natural language processing (NLP), machine learning, and computer vision. We will explore how these technologies enable the analysis of textual, visual, and multimedia elements present in student projects, facilitating more comprehensive and insightful assessments. Secondly, we will discuss the implications and considerations surrounding the adoption of AI in education, including concerns related to privacy, ethics, and the role of professors in the AI-assisted review process. This paper further aims to shed light on the challenges and limitations of implementing AI-based review systems, highlighting the need for careful validation, data quality assurance, and interpretability of results. Additionally, we will examine the potential benefits for students, instructors, and educational institutions, such as improved feedback delivery, increased consistency in evaluations, and enhanced learning outcomes. By exploring the use of AI in reviewing student projects, we hope to contribute to the ongoing discussion on leveraging technology to enhance educational practices and to provide insights into the potential future directions of AI-assisted assessment methods.

More...

MULTIMEDIA INFORMATION SYSTEMS IN CLASS

Author(s): Hadžib Salkić,Marija Kvasina,Almira Salkić,Aldijana Omerović / Language(s): English / Issue: 6/2023

Keywords: Teachers; Information System; Multimedia; Students;

The success of information systems in class, or multimedia, depends on teachers so their attitude on the use of technology in class has a very important role in accepting and real use of it. They are the key factor in acceptance of multimedia as a teaching tool. So, the subject of this research is teachers` attitude on multimedia tools in class. The goal is to find out if teachers believe that multimedia has a positive impact on class content, the result of teaching, the knowledge of the students, and teachers` efficiency. The research was done online in the Central Bosnia Canton area and all the teachers in elementary schools took part in it. The result shows that teachers` opinions are that multimedia has a positive impact on the results of teaching, class content, and teachers` efficiency and that there is a correlation between maximizing students` knowledge and teachers` skills. The general opinion on the use of multimedia is positive, but with improved conditions, their usage would be even higher.

More...