SENSYS

Air Pollution these days is one of the most significant problems worldwide and understanding the spatio-temporal nature of pollutants is still a challenge. Besides, knowing the concentration of pollutants in the ambient air, estimating the personal ...

This paper uses data mining of a mobile crowdsensed dataset of passive WiFi scans to define attributes that can characterize a chaotic WiFi deployment with respect to offloading opportunities. Besides indicators of signal quality, we define indicators ...

Indoor localization is particularly valuable in many indoor application scenarios, such as shopping malls and airports. An indoor localization system on smartphones should be low-power as well as accurate. In this paper, we present Turnin - a completely ...

Mobile CrowdSensing (MCS) applications rely on the availability of multiple mobile devices for collecting sensor data on a large scale. These applications are gaining popularity and are used in several domains such as environmental monitoring and ...

It is often challenging to access a pool of mobile device users and instruct them to perform an interactive task. Yet such data is often vital to provide design insight at various stages of the design process of a mobile application, service or system. ...

The ubiquity of sensors has introduced a variety of new opportunities for data collection. In this paper, we attempt to answer the question: Given M workers in a spatial environment and N probing resources, where N < M, which N workers should be queried ...

Mobile crowdsensing can provide mobility researchers with fine grained spatio-temporal location data. But crowdsourcing impacts data quality both due to device and OS heterogeneity, and to annotation errors. Additionally, it is often necessary to deal ...

Mobile crowdsensing allows a large number of mobile devices to measure phenomena of common interests and form a body of knowledge about natural and social environments. In order to get location annotations for indoor mobile crowdsensing, reference tags ...

Mobile crowdsensing (MCS) has a huge potential to provide societal benefits by effectively utilizing the sensing, computing, and networking capability of mobile devices, which have become ubiquitous especially in the developed world. However, many ...

We present a crowdsourcing system that extends the capabilities of location-based applications and allows users to connect and exchange information with users in spatial and temporal proximity. We define this incident of spatio-temporal proximity as a ...

Smart Farming refers to the act of utilizing modern information and sensor technology in conventional industrial farming. An important plant parameter that can be estimated by sensor technology in the context of Smart Farming is the leaf area index (LAI)...

No longer reserved for nerdy geeks, nowadays smartwatches have gain their popularities rapidly, and become one of the most desirable gadgets that the general public would like to own. However, such popularity also introduces potential vulnerability. ...