Seamless outdoor-indoor positioning plays a critical role in many emerging applications, eg,
large-coverage user navigation in cities, smart buildings, and analytics of user spatial …

The need for location tracking in many mobile services has given rise to the broad research
topic of indoor positioning we see today. However, the majority of proposed systems in this …

Wireless Big Data has aroused extensive attention, as mass mobile devices have been
developed and deployed for the upcoming 5G era. The context information of these devices …

Advances in hardware and algorithms are driving the exponential growth of Internet of
Things (IoT), with increasingly more pervasive computations being performed near the data …

In cities with tall buildings, emergency responders need an accurate floor level location to
find 911 callers quickly. We introduce a system to estimate a victim's floor level via their …

An ensemble learning‐based approach for context detection for high‐speed railway (HSR)
isproposed, evaluated, and compared against various machine learning algorithms. The …

To obtain a person's location information with high accuracy in mobile device, it is necessary
for a mobile device to switch its localization method depending on whether the user is …

Adoption of smart mobile devices (smartphones, wearables, etc.) is rapidly growing. There
are already over 2 billion smartphone users worldwide [1] and the percentage of …

This paper describes an information service that personalizes air pollution monitoring by
considering the fine grained user location, her microenvironment, and her activity …

스마트폰의 발달로 인해 기기 내 다양한 정보를 수집할 수 있으며 이를 통해 사용자의 상황을
인식하여 다양한 서비스를 제공할 필요성이 증가하고 있다. 기기 내에는 다양한 센서들이 …