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Wyszukujesz frazę "urban computing" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
Urbancontext: a management model for pervasive environments in user-oriented urban computing
Autorzy:
Zuniga-Canon, C. L.
Burguillo, J. C.
Powiązania:
https://bibliotekanauki.pl/articles/305615.pdf
Data publikacji:
2014
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
urban computing
context modeling
pervasive computing
ubiquitous
Opis:
Nowadays, urban computing has gained a lot of interest in regards to guiding the evolution of cities into intelligent environments. These environments can be appropriated for interactions between individuals that may ultimately affect and modify their behavior. These changes require new approaches that allow us to better understand how urban computing systems should be modeled. In this work, we present UrbanContext – a new model for designing urban computing platforms that applies the theory of roles to manage the individual’s context in urban environments. The theory of roles helps us understand the individual’s behavior within a social environment, allowing us to model urban computing systems capable of adapting to an individual’s states and needs. In order to optimize social interaction and offer secure services, Urban-Context collects data in urban atmospheres and classifies behavior according to the individual’s change of roles. Likewise, UrbanContext serves as a generic model to provide interoperability as well as facilitate design, implementation, and expansion of urban computing systems.
Źródło:
Computer Science; 2014, 15 (1); 75-88
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Images of the City in the Making: Participatory Mapping, Dynamic Data Processing and Collective Knowledge
Autorzy:
Nacher, Anna
Powiązania:
https://bibliotekanauki.pl/articles/636938.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Jagielloński. Wydawnictwo Uniwersytetu Jagiellońskiego
Tematy:
geomedia
urban computing
participatory mapping
data-driven activism
Ushahidi
Crowdmap
Opis:
The article focuses on the practices relevant for digital mapping based on dynamic data processing and GIS. I argue that participatory mapping can be seen as a form of data driven activism and as such it is first and foremost the example of the collective knowledge. Hence, the primary function of the images (e.g. maps) produced in the process is not so much the representation of the city as rather it is the role they play in the dynamic operations of knowledge production on a grassroots level. Given that the computing technology and data processing saturate the social relations of the contemporary urban environments to the considerable extent, certain shift in the scope of analysis is required: the focus on how the images emerge and how they act in the world seems to be more relevant than the traditional analysis of the city’s visual representation.
Źródło:
Przegląd Kulturoznawczy; 2013, 4(18); 287-300
1895-975X
2084-3860
Pojawia się w:
Przegląd Kulturoznawczy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Extracting Land Surface Albedo from Landsat 9 Data in GEE Platform to Support Climate Change Analysis
Autorzy:
Barletta, Carlo
Capolupo, Alessandra
Tarantino, Eufemia
Powiązania:
https://bibliotekanauki.pl/articles/27314275.pdf
Data publikacji:
2023
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
open satellite data
cloud computing
climate change
Copernicus Urban Atlas
environmental monitoring
sustainable development
urban areas
Opis:
Land surface albedo is a relevant variable in many climatic, environmental, and hydrological studies; its monitoring allows researchers to identify changes on the Earth’s surface. The open satellite data that is provided by the USGS/NASA Landsat mission is quite suitable for estimating this parameter through the remote sensing technique. The purpose of this paper is to evaluate the potentialities of the new Landsat 9 data for retrieving Earth’s albedo by applying da Silva et al.’s algorithm (developed in 2016 for the Landsat 8 data) using the Google Earth Engine cloud platform and R software. Two urban areas in Southern Italy with similar geomorphologic and climatic characteristics were chosen as study sites. After obtaining thematic maps of the albedos here, a statistical analysis and comparison among the Landsat 8 and Landsat 9 results was performed considering the entire study areas and each land use/land cover class that is provided by the Copernicus Urban Atlas 2018. This approach was also applied to the data after being filtered through Tukey’s test (used to detect and remove outliers). The analysis showed a very good correlation between the Landsat 8 and Landsat 9 estimations (ρ > 0.94 for both sites), with some exceptions that were related to some mis-corresponding values. Furthermore, the Landsat 8 and Landsat 9 outliers were generally overlapping. In conclusion, da Silva et al.’s approach appears to also be reasonably applicable to the Landsat 9 data despite some radiometric differences.
Źródło:
Geomatics and Environmental Engineering; 2023, 17, 6; 35--75
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A cloud-based urban monitoring system by using a quadcopter and intelligent learning techniques
Autorzy:
Khanmohammadi, Sohrab
Samadi, Mohammad
Powiązania:
https://bibliotekanauki.pl/articles/27314186.pdf
Data publikacji:
2022
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
urban monitoring
cloud computing
quadcopter
deep learning
fuzzy system
image processing
pattern recognition
bayesian network
intelligent techniques
learning systems
Opis:
The application of quadcopter and intelligent learning techniques in urban monitoring systems can improve flexibility and efficiency features. This paper proposes a cloud-based urban monitoring system that uses deep learning, fuzzy system, image processing, pattern recognition, and Bayesian network. The main objectives of this system are to monitor climate status, temperature, humidity, and smoke, as well as to detect fire occurrences based on the above intelligent techniques. The quadcopter transmits sensing data of the temperature, humidity, and smoke sensors, geographical coordinates, image frames, and videos to a control station via RF communications. In the control station side, the monitoring capabilities are designed by graphical tools to show urban areas with RGB colors according to the predetermined data ranges. The evaluation process illustrates simulation results of the deep neural network applied to climate status and effects of the sensors’ data changes on climate status. An illustrative example is used to draw the simulated area using RGB colors. Furthermore, circuit of the quadcopter side is designed using electric devices.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 2; 11--19
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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