Aristide C. Y. Tossou

Synergistic user ↔ context analytics

Various flavours of a new research field on (socio − )physicalorpersonalanalytics have emerged, with the goal of deriving semanticallyrich insights from people’s low-level physical sensing combined with their (online) social interactions. In this paper, we argue for more comprehensive data sources, including environmental and application-specific data, to better capture the interactions between users and their context, in addition to those among users. We provide some example use cases and present our ongoing work towards a synergistic analytics platform: a testbed based on mobile crowdsensing and IoT, a data model for representing the different sources of data and their connections, and a prediction engine for analyzing the data and producing insights.

VIVO: A secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things

Smartphones are a key enabling technology in the Internet of Things (IoT) for gathering crowd-sensed data. However, collecting crowd-sensed data for research is not simple. Issues related to device heterogeneity, security, and privacy have prevented the rise of crowd-sensing platforms for scientific data collection. For this reason, we implemented VIVO, an open framework for gathering crowd-sensed Big Data for IoT services, where security and privacy are managed within the framework. VIVO introduces the enrolled crowd-sensing model, which allows the deployment of multiple simultaneous experiments on the mobile phones of volunteers. The collected data can be accessed both at the end of the experiment, as in traditional testbeds, as well as in real-time, as required by many Big Data applications. We present here the VIVO architecture, highlighting its advantages over existing solutions, and four relevant real-world applications running on top of VIVO

Optimal advertisement strategies for small and big companies

Many small and big companies in developing countries struggle to make their products or services known to the public. This is especially the case when there are new or have a new product. Most of them use publicity through radio, tv, social networks, billboard, SMS... Moreover, they also need to decide at what time to display their publicity for maximal effects. The companies which have more money typically used a simple strategy which consists in doing the publicity at many sources at different time or at a time such as to maximize the number of viewers. The smaller ones typically target the best popular programs.