Evaluation of Land-Use Changes as a Result of Underground Coal Mining—A Case Study on the Upper Nitra Basin, West Slovakia

Mining activity has one of the most fundamental influences on the landscape (in terms of both aesthetics and use). Its activity and manifestations, even when mining takes place underground, have visual manifestations on the surface. The impact of subsurface mining has a synergistic effect on the elements of the landscape structure. This manifestation is continuous in the context of mining intensity. Using the Earth remote sensing method, we identified several fundamental changes. The most significant of these was the creation of wetlands and the modification of watercourse lines. In the area in which there was no permanent water sources, several water areas with a total area of more than 30 ha were created. We also found that the length of watercourses has halved, the area of grassland has doubled, and urban area has decreased. It was the creation of water areas that supported not only better ecological stability of the landscape, but also the growth of biodiversity. Wetlands can be a dynamic element of future development. Understanding the development of land-cover changes is necessary for the purpose of planning nature and landscape conservation, as well as to identify areas of conflict with economic use

Mosaic Landscape Structures in Relation to the Land Use of Nitra District

Mosaic landscape structures with traditional forms of land use are currently the most important landscape features, especially from the point of landscape and cultural-historical perspective. Their typical features are the alternation of the areas of narrow-field fields, meadow vegetation and permanent cultures, especially vineyards and orchards. Their presence in the territory is mainly related to the rich vineyard and fruit-growing tradition. On the territory of the Nitra district, we record the most extensive mosaic landscape structures from the south to the north-eastern part. These are heterogeneous units, typical of the rotation of small-area land management, scattered by non-woody vegetation and habitat. In the mosaic landscape structures, we also find elements of the traditional settlement architecture of the houses ‘hajloch’. Significant landscape elements in the form of mosaic structures survive thanks to the rich viniculture tradition. In the long run, however, there are changes in their use: they are often the subject of inheritance, they are converted into holiday homes or they are used for the needs of an expanding residential development. The aim of our study is to point out the dynamic and changes that occurred in the mosaic landscape structures between the two-time horizons (the 50s of the 20th century and the present). For this purpose, we use geospatial analysis to evaluate their area representation, spatial characteristics in relation to the surrounding settlement structure and selected properties of relief forms. The analysis and evaluation of the spatial diversity of mosaic landscape structures as important landscape elements play a significant role in protecting the natural and cultural heritage values of the area from the aspect of species diversity and rich gene pool, visual perception of the landscape, preservation of ecological stability of landscape, landscape potential and overall landscape diversity

An Analytical Framework for Data Collection and Analysis in IP Network

The primary focus of the study is to investigate the importance of data collection and analysis in IP networks for detecting, identifying, and responding to potential cyber attacks. It examines the use of the Suricata system’s integration with the process of sending detected anomalies to the non-relational Elasticsearch database. The research also looks into the use of Data Lakes, which are centralized storage systems capable of securely storing and analyzing massive amounts of IP traffic data in their native format. An experimental environment is presented, featuring the Elasticsearch database, REDIS cache, and Suricata IDS tool, to conduct experiments. The findings show that combining Suricata with Elasticsearch and Redis cache results a suitable combination, leading to enhanced performance and increased analysis accuracy. In conclusion, by leveraging the strengths of these technologies, it is possible to establish a robust and efficient infrastructure that effectively assists network administrators to safeguard networks against various cyber threats in the network environment

Evaluation of Land-Use Changes as a Result of Underground Coal Mining—A Case Study on the Upper Nitra Basin, West Slovakia

Mining activity has one of the most fundamental influences on the landscape (in terms of both aesthetics and use). Its activity and manifestations, even when mining takes place underground, have visual manifestations on the surface. The impact of subsurface mining has a synergistic effect on the elements of the landscape structure. This manifestation is continuous in the context of mining intensity. Using the Earth remote sensing method, we identified several fundamental changes. The most significant of these was the creation of wetlands and the modification of watercourse lines. In the area in which there was no permanent water sources, several water areas with a total area of more than 30 ha were created. We also found that the length of watercourses has halved, the area of grassland has doubled, and urban area has decreased. It was the creation of water areas that supported not only better ecological stability of the landscape, but also the growth of biodiversity. Wetlands can be a dynamic element of future development. Understanding the development of land-cover changes is necessary for the purpose of planning nature and landscape conservation, as well as to identify areas of conflict with economic use

Financial Implications of Femtocell Deployment

Increased usage in wireless communication has been observed in the last decades and it is expected to rise even more. Traditional spectrum allocation mechanism together with increasing demand for data transfers caused spectrum to become more congested. As a consequence, high pressure for its more effective usage emerges. Modern concept of heterogeneous networks with cognitive femtocells represents one of the promising solutions. Associated technical issues of heterogeneous networks have been discussed in many papers. However, economic aspects of femtocell deployment in network are still insufficiently analysed. This paper is devoted to economic aspects of operators’ behaviour in the macro-femto network but we also focus on technical issue of overall spectrum usage. For this purpose, the agent-based model of two-tier network was proposed. Results of simulation confirm significant influence of number of deployed femtocells and their location in the network on operators’ pricing strategies and their whole economic performance

Interactive Network Learning: An Assessment of EVE-NG Platform in Educational Settings

This article compares EVE-NG, a network emulation software, to other commonly used network simulation tools such as Cisco Packet Tracer and GNS3. EVE-NG’s features, benefits, and drawbacks are assessed in terms of system requirements, support platforms, web interface, console access, topology management, and advanced lab functionalities. EVE-NG is tested by the students in the real-world application, and feedback from a group of students is gathered regarding their satisfaction and suggestions for improvement. The results of this study show that EVE-NG provides a robust and versatile tool for simulating complex network scenarios, despite compatibility, reliability, and performance issues. It is concluded that EVE-NG has the potential to improve student learning outcomes in computer networks; however, ongoing development and refinement are necessary to meet user expectations and needs

Financial Implications of Femtocell Deployment

Increased usage in wireless communication has been observed in the last decades and it is expected to rise even more. Traditional spectrum allocation mechanism together with increasing demand for data transfers caused spectrum to become more congested. As a consequence, high pressure for its more effective usage emerges. Modern concept of heterogeneous networks with cognitive femtocells represents one of the promising solutions. Associated technical issues of heterogeneous networks have been discussed in many papers. However, economic aspects of femtocell deployment in network are still insufficiently analysed. This paper is devoted to economic aspects of operators’ behaviour in the macro-femto network but we also focus on technical issue of overall spectrum usage. For this purpose, the agent-based model of two-tier network was proposed. Results of simulation confirm significant influence of number of deployed femtocells and their location in the network on operators’ pricing strategies and their whole economic performance

Blockchain-empowered service management for the decentralized metaverse of things

Abstract The future of networking will be driven by the current emerging trends of combining the physical and virtual realities in cyberspace. Considering the ambient pandemic challenges, the role of virtual and augmented reality will definitely grow over time by transforming into the paradigm of the Metaverse of Things, where each person, thing or other entity will simultaneously exist within multiple synchronized realities. In this paper, we propose a novel framework for future metaverse applications composed of multiple synchronized data flows from multiple operators through multiple wearable devices and with different quality requirements. A new service quality model is proposed based on a customizable utility function for each individual data flow. The proposed approach is based on dynamic fine-grained data flow allocation and service selection using non-fungible tokens, which can be traded over the blockchain among users and operators in a decentralized mobile network environment