Context-awareness in ubiquitous computing and the mobile devices

Nuhcan Akçit; Emrah Tomur; Mahmut Onur Karslıoğlu

doi:10.1117/12.2192434

19 June 2015 Context-awareness in ubiquitous computing and the mobile devices

Nuhcan Akçit, Emrah Tomur, Mahmut Onur Karslıoğlu

Proceedings Volume 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015); 95350R (2015) https://doi.org/10.1117/12.2192434
Event: Third International Conference on Remote Sensing and Geoinformation of the Environment, 2015, Paphos, Cyprus

Abstract

Mobile device use has vastly increased in the last few years. Many people use many mobile devices in their daily lives. Context-aware computing is the main feature of pervasive and ubiquitous computing. Context awareness is also an important topic that becomes more available with ubiquitous computing. As the sensors increase, the data collected via mobile device sensors and sensor networks do not have much value because of the difficulty in analysis and understanding the data. Context-aware computing helps us store contextual information and use or search it by mobile devices when we want to see or analyze it. Contextual data can be made more meaningful by context-aware processing. There are different types of data and context information that must be considered. By combining spatial and contextual data, we obtain more meaningful data based on the entities. Contextual data is any information that can be used to characterize the situation of the entity. The entity is a person, place, or object considered relevant to the interaction between the user and an application, including the users and the applications. Using contextual data and good integration to mobile devices adds great value to this data, and combining these with our other data sets will allow us to obtain more useful information and analysis.

Citation Download Citation

Nuhcan Akçit, Emrah Tomur, and Mahmut Onur Karslıoğlu "Context-awareness in ubiquitous computing and the mobile devices", Proc. SPIE 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), 95350R (19 June 2015); https://doi.org/10.1117/12.2192434

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KEYWORDS

Mobile devices

Sensors

Sensor networks

Data modeling

Computing systems

Data fusion

Systems modeling

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