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Wyświetlanie 1-2 z 2
Tytuł:
The development of multi-scale data management for CityGML-based 3D buildings
Autorzy:
Karim, Hairi
Rahman, Alias Abdul
Azri, Suhaibah
Halim, Zurairah
Powiązania:
https://bibliotekanauki.pl/articles/2055778.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
CityGML
Level of Details (LoD)
multi-scale
scale unique ID
cross-scale query
spatial scale data management
Opis:
The CityGML model is now the norm for smart city or digital twin city development for better planning, management, risk-related modelling and other applications. CityGML comes with five levels of detail (LoD), mainly constructed from point cloud measurements and images of several systems, resulting in a variety of accuracies and detailed models. The LoDs, also known as pre-defined multi-scale models, require large storage-memory-graphic consumption compared to single scale models. Furthermore, these multi-scales have redundancy in geometries, attributes, are costly in terms of time and workload in updating tasks, and are difficult to view in a single viewer. It is essential for data owners to engage with a suitable multi-scale spatial management solution in minimizes the drawbacks of the current implementation. The proper construction, control and management of multi-scale models are needed to encourage and expedite data sharing among data owners, agencies, stakeholders and public users for efficient information retrieval and analyses. This paper discusses the construction of the CityGML model with different LoDs using several datasets. A scale unique ID is introduced to connect all respective LoDs for cross-LoD information queries within a single viewer. The paper also highlights the benefits of intermediate outputs and limitations of the proposed solution, as well as suggestions for the future.
Źródło:
Geomatics and Environmental Engineering; 2022, 16, 1; 71--94
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Epistemic Words on the Confidence Scale
Autorzy:
Byalyk, Vasyl Dmytrovych
Nizhnik, Liudmyla Ivanivna
Powiązania:
https://bibliotekanauki.pl/articles/2231494.pdf
Data publikacji:
2022-10-06
Wydawca:
Komisja Nauk Filologicznych Polskiej Akademii Nauk, Oddział we Wrocławiu
Tematy:
epistemic words
modal strength
level of confidence
confidence scale
component analysis
Opis:
The article examines a group of 107 epistemic words in order to determine their integral and differential semes and place them on the confidence scale. The relevance of the study is conditioned by the interest in studying the stance of a speaker’s utterance. The article analyses the notion of epistemic words, their linguistic and non-linguistic properties. As a result of definition and semantic analyses of epistemic words, epistemic words with high, medium and low modal strength were singled out. Such a categorization is possible, because epistemic words have the same integral semes but various differential semes. Epistemic words have a scalar nature and the level of their modal strength reflects the speaker’s commitment to the utterance that ranges from confidence to uncertainty.
Źródło:
Academic Journal of Modern Philology; 2022, 15; 107-115
2299-7164
2353-3218
Pojawia się w:
Academic Journal of Modern Philology
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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