The increasing number of electric vehicles (EVs) on the road brings both opportunities and
challenges to the power system. For the EV charging stations (EVCSs), it is often difficult to …

This paper aims to reveal the uncertainty of traffic flow by introducing a new quantity based
on the concept of information entropy (IE). We discover the existence and analyze the …

Similarity measurement is one of the key tasks in spatial data analysis. It has a great impact
on applications ie, position prediction, mining and analysis of social behavior pattern …

Understanding the structuration of spatio-temporal information is a common endeavour to
many disciplines and application domains, eg, geography, ecology, urban planning …

The continuous development of positioning technologies and computing solutions for the
integration of large trajectory data sets offers many novel research opportunities. Among …

Smart home devices are essential for modern living, automating tasks, and optimizing
usage, but they raise privacy concerns. The Personal Data Store (PDS) paradigm offers a …

최근 미세먼지나 강수량 자료 등 시간과 공간에 따라 수집되는 시공간 자료에 대한 관심이
증가하고 있다. Gao 등 (2019) 은 공간 자료의 군집에 많이 쓰이는 Moran's I 와 Local Moran's I …

The trajectory of traffic participants is an essential source for pattern mining and knowledge
discovery in urban mobility. However, real-world trajectory data are often not publicly …

Smart home devices continually amass and share growing volumes of data to enhance
functionality and user convenience. However, this data sharing poses privacy risks …

Nowadays, the very large volumes of trajectory datasets generated by many users and
applications offer many opportunities for deriving trends and patterns. Extracting patterns …