Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Olga Saukh"'
Publikováno v:
IEEE Internet of Things Journal. 9:20577-20589
Publikováno v:
2022 IEEE/ACM Seventh International Conference on Internet-of-Things Design and Implementation (IoTDI).
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031177200
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::117b73ca471cf023c2d5f48bbafa7ab9
https://doi.org/10.1007/978-3-031-17721-7_12
https://doi.org/10.1007/978-3-031-17721-7_12
Publikováno v:
SenSys
Low-cost sensors are extensively used in numerous Internet of Things (IoT) applications to measure relevant physical processes. Today, processing context data is increasingly done by proprietary algorithms tuned to a specific use-case, e.g., a sensor
Publikováno v:
UbiComp/ISWC Adjunct
Air quality is of vital importance to human health. Accurately predicting air quality, especially its sudden changes, is highly valuable for citizens and governments to make personal and local decisions, design intelligent policies and control pollut
Publikováno v:
SECON
Popular low-cost air quality sensors embedded into IoT and mobile devices are based on metal oxides (MOX) that change their electrical resistance in response to ambient pollutants emitted as gases. Operating MOX sensors continuously is expensive, sin
Publikováno v:
DCOSS
The COVID-19 related lockdown measures offer a unique opportunity to understand how changes in economic activity and traffic affect ambient air quality, and how much pollution reduction can the society offer through digitalization and mobility-limiti
Publikováno v:
DCOSS
Low-power operation of power-hungry MOX sensors is usually achieved by duty cycling them periodically. However, a difficulty arises if a sensor is operated at irregular time intervals due to intermittent energy availability in energy- neutral or batt
Publikováno v:
DATA@SenSys
Automatic pollen sensing is important to understand the local distribution of pollen in urban environments and to give personalized advice to the citizens suffering from seasonal pollen allergies to help milder the symptoms. We present a challenging
Publikováno v:
SenSys
In this work, we show that sensor data may leak a sensor's location even if the latter is not explicitly included in the data set. The sensors are localized by linking sensor data, in particular activity data, with publicly available environmental da