Zhixian Yan

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Publications associées (22)

OptiMoS: Optimal Sensing for Mobile Sensors

Karl Aberer, Zhixian Yan, Julien Eberle

Both sensor coverage maximization and energy cost minimization are the fundamental requirements in the design of real-life mobile sensing applications, e.g., (1) deploying environ- mental sensors (like CO2, fine particle measurement) on public transports t ...

2012

Deriving Semantic Sensor Metadata from Raw Measurements

Karl Aberer, Jean Paul Calbimonte Perez, Zhixian Yan, Ho Young Jeung

CEUR-WS2012

An Adaptive Approach for Online Segmentation of Multi-Dimensional Mobile Data

Karl Aberer, Zhixian Yan, Tian Guo

With increasing availability of mobile sensing devices including smartphones, online mobile data segmentation becomes an important topic in reconstructing and understanding mobile data. Traditional approaches like online time series segmentation either use ...

2012

Energy-Efficient Continuous Activity Recognition on Mobile Phones: An Activity-Adaptive Approach

Karl Aberer, Zhixian Yan, Dipanjan Chakraborty

Power consumption on mobile phones is a painful obstacle towards adoption of continuous sensing driven applications, e.g., continuously inferring individual’s locomotive activities (such as ‘sit’, ‘stand’ or ‘walk’) using the embedded accelerometer sensor. ...

Ieee2012

Mining Complex Activities in the Wild via a Single Smartphone Accelerometer

Karl Aberer, Zhixian Yan, Dipanjan Chakraborty, Tri Kurniawan Wijaya, Angshu Rai

Complex activities are activities that are a combination of many simple ones. Typically, activities of daily living (ADLs) fall in this category. Complex activity recognition is an active area of interest amongst sensing and knowledge mining community toda ...

ACM2012

SeMiTri: A Framework for Semantic Annotation of Heterogeneous Trajectories

Karl Aberer, Stefano Spaccapietra, Christine Parent, Zhixian Yan, Dipanjan Chakraborty

GPS devices allow recording the movement track of the moving object they are attached to. This data typically consists of a stream of spatio-temporal (x,y,t) points. For application purposes the stream is transformed into finite subsequences called {\em tr ...

ACM2011

Semantic Trajectories : Computing and Understanding Mobility Data

Zhixian Yan

Thanks to the rapid development of mobile sensing technologies (like GPS, GSM, RFID, accelerometer, gyroscope, sound and other sensors in smartphones), the large-scale capture of evolving positioning data (called mobility data or trajectories) generated by ...

EPFL2011

SeTraStream: Semantic-Aware Trajectory Construction over Streaming Movement Data

Zhixian Yan

Location data generated from GPS equipped moving objects are typically collected as streams of spatio-temporal (x,y,t) points that when put together form corresponding {\em trajectories}. Most existing studies focus on building ad-hoc querying, analysis, a ...

2011

A Hybrid Model and Computing Platform for Spatio-Semantic Trajectories

Stefano Spaccapietra, Christine Parent, Zhixian Yan, Dipanjan Chakraborty

In this paper, we propose a hybrid spatio-semantic model and a computing platform for trajectories of moving objects. Our hybrid model can represent trajectories in terms of both spatio and semantic mobility characteristics, supporting different levels of ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2010

Automatic Construction and Multi-level Visualization of Semantic Trajectories

Karl Aberer, Stefano Spaccapietra, Christine Parent, Zhixian Yan, Dipanjan Chakraborty, Lazar Spremic

With the prevalence of GPS-embedded mobile devices, enormous amounts of mobility data are being collected in the form of trajectory - a stream of (x,y,t) points. Such trajectories are of heterogeneous entities - vehicles, people, animals, parcels etc. Most ...

2010

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