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Understanding crowd dynamics of large-scale events is crucial to deliver a pleasant experience for the participants. In this paper, we propose a novel hybrid participatory sensing approach to capture large group dynamics. Specifically, our approach is based on distributing a large number of tiny, wearable Bluetooth Low Energy (BLE) tags and few smartphones(More)
In this paper, a general moving object trajectories framework is put forward to allow independent applications processing trajectories data benefit from a high level of interoperability, information sharing as well as an efficient answer for a wide range of complex trajectory queries. Our proposed meta-model is based on ontology and event approach,(More)
In this paper, we propose a visual CASE Tool named Aigle with multiple abstraction levels including a visual language (oriented end-user) and a technical visual language context (oriented designer) for Geographic Information Systems. This CASE Tool addresses the problem of the customizations of GIS applications on several marketed GIS platforms. The use of(More)
Designing massive scale crowdsensing experiments using smartphones can be very challenging. In this work, we define a new approach for designing massive crowdsensing applications where we offload the burden of sensing from smartphones to low cost off-the-shelf Bluetooth Low Energy (BLE) proximity tags. We discuss the usage of advertisements in BLE tags as a(More)
A growing number of Communicating Geographic Information Systems (CGIS) have been developed since geographic libraries for programming languages such as Java have been marketed. In order to facilitate the design of customised GIs upplications ci visual object oriented method named OMEGA has been introduced. It is based on visual extensions of U M L In this(More)
With the advancement of mobile technologies, more and more people are connected to social networks such as Facebook and Twitter. Social networks allow users to share diversity of information including spatio-temporal data either publicly or within their community of interest in realtime. Particularly, by analyzing social network data streams and then(More)
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(More)
Crowdsourced multimedia data poses several challenges when it is collected, stored, indexed, retrieved, and visualized. Examples of crowd source multimedia data are social sensors, vehicle sensors, physical sensors, human sensors, etc. Analyzing such multimodal and diversified crowdsourced data provides very rich understanding about the need of individuals(More)
In the context of object-oriented formalism, stereotypes are presented as a new means for user-defined extensions of the Unified Modeling Language (UML). Unfortunately, the stereotypes syntax and semantics vary depending on the proposed extensions and it is not easy to propose a complete formalization of this mechanism. This is the reason why this paper(More)