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With the wide spread of smartphones, providing contextualized information for mobile environment has been in demand, and many researchers have explored the topic of context awareness based on sensors in smartphones. The state-of-the-art method in this field only uses for input simple data such as location, current time, user activity and provides simple output. Various events that could take place...
Mobile devices like smartphones and tablet computers made it possible to access educational offers spatially and temporally unbounded. However, learners have different prior knowledge and preferences, and are in different situations. Contextual information can be used to adapt educational offers to the learners' individual needs and characteristics. When it comes to the detection of such information...
The exponential increase in the number and types of mobile devices, along with their ever-growing sets of capabilities, have enabled the development of new architectures that aim to harness such heterogeneity. Transient Clouds (TCs) are examples of mobile clouds which are created on-the-fly by the devices present in an environment to share their physical resources (e.g., CPU, memory, network) and...
We propose a context aware framework that offers a set of cloud-based services to support a very large Hajj and Umrah crowd by capturing their contexts using smartphones. The proposed framework captures the individual's context, provides a set of adapted services, and allows being in touch with a subset of one's community of interest. We leverage the spatiotemporal sensory data captured by our framework...
In the last years, research about context-aware systems has been particularly intense. Nevertheless, most of the proposed approaches and systems failed to flow from research to industry. In this paper we propose ANARC, a library that eases the development of network-aware applications for smartphones. ANARC does not try to cope with all the possible meanings and variations of context, it instead focuses...
The proliferation of sensor-equipped smartphones has enabled an increasing number of context-aware applications that provide personalized services based on users' contexts. However, most of these applications aggressively collect users sensing data without providing clear statements on the usage and disclosure strategies of such sensitive information, which raises severe privacy concerns and leads...
Advanced context-aware telecom services require evaluating rules encompassing local or remote, raw or abstract context situations. The meteoric rise of smartphones raises the question of potential deployment of terminal-based context-aware services versus a network-centric one. In this paper we compare these two approaches through the analysis of typical context-aware services.
The paper introduces an approach to automatically recognize people's activity patterns within an “intelligent” building. We envisage a model of interactions with a smart phone and building. Various sensors in smart phone enable to recognize daily routine of people's activities automatically in building. The smart phone application; `Activity Pattern Recognition in Mobile Environment (APRiME)' recognized...
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