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1.
Tour Hosp Res ; 23(3): 376-390, 2023 Jul.
Article in English | MEDLINE | ID: mdl-37350844

ABSTRACT

In days gone by, Balaton Lake predominately attracted domestic tourists, without focusing on the countries which neighbour Hungary and their respective markets. However, as a consequence of the Covid-19 pandemic, domestic and regional tourism flows have been stimulated, as travel restrictions resulted in a tendency towards travel to local and neighbouring destinations. In line with these trends, the research investigates the congruence of both Balaton Lake's projected and perceived (virtual) destination image in the era of Covid-19, with Serbia being considered as a neighbouring and emitting market. The study deployed a sequential exploratory mixed-method approach (qualitative and then quantitative). The study contributes to the existing knowledge by addressing the gap between the visual and textual content of a projected (virtual) destination image and by acknowledging non-visitor perception of destination image in the context of pronounced regional international travel.

2.
Sensors (Basel) ; 22(13)2022 Jun 23.
Article in English | MEDLINE | ID: mdl-35808254

ABSTRACT

Determining the position of ourselves or our assets has always been important to humans. Technology has helped us, from sextants to outdoor global positioning systems, but real-time indoor positioning has been a challenge. Among the various solutions, network-based positioning became an option with the arrival of 5G mobile networks. The new radio technologies, minimized end-to-end latency, specialized control protocols, and booming computation capacities at the network edge offered the opportunity to leverage the overall capabilities of the 5G network for positioning-indoors and outdoors. This paper provides an overview of network-based positioning, from the basics to advanced, state-of-the-art machine-learning-supported solutions. One of the main contributions is the detailed comparison of machine learning techniques used for network-based positioning. Since new requirements are already in place for 6G networks, our paper makes a leap towards positioning with 6G networks. In order to also highlight the practical side of the topic, application examples from different domains are presented with a special focus on industrial and vehicular scenarios.


Subject(s)
Algorithms , Geographic Information Systems , Humans , Surveys and Questionnaires
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