I n this article, a statistical method for mobility prediction that incorporates terrain uncertainty is presented. Mobile robotics has been performing a significant role in scientific lunar/planetary surface exploration missions [1]. In such missions, mobile robots are required to predict their mobility to avoid hazards such as immobilizing wheel slip on loose sand or collision with obstacles. ...

New challenging deployment scenarios are accommodating portable devices with limited and heterogeneous capabilities that roam among wireless access localities during service provisioning. That calls for novel middlewares to support different forms of mobility and connectivity in wired-wireless integrated networks, to provide runtime service personalization based on client characteristics, prefe...

Seamless connectivity in 4G wireless networks requires the development of intelligent proactive mechanisms for efficiently predicting vertical handovers. Random device mobility patterns further increase the complexity of the handover process. Geographical topologies such as indoor and outdoor environments also exert additional constraints on network coverage and device mobility. The ability of ...

In this paper we have introduced a mobility prediction scheme that proposes the use of a new sector-based tracking of mobile users, with a sector-numbering scheme to predict user movements. The proposed scheme is applicable for both the fixed network and the ad hoc networking structures. Our study shows that accurate prediction is possible with reduced area of tracking for both types of network...

MOTIVATION MOBI is a web server for the identification of structurally mobile regions in NMR protein ensembles. It provides a binary mobility definition that is analogous to the commonly used definition of intrinsic disorder in X-ray crystallographic structures. At least three different use cases can be envisaged: (i) visualization of NMR mobility for structural analysis; (ii) definition of reg...

Ground borne vibration in buildings due to railway traffic is a major concern in densely built up areas. In practice, railway induced vibration is often predicted by means of empirical methods such as the Detailed Vibration Assessment developed by the U.S. Federal Railroad Administration (FRA). The vibration velocity level in the free field is predicted based on a separate characterization of t...

With increasingly prevalent mobile positioning devices, such as GPS loggers, smart phones, and GPS navigation devices, a huge amount of trajectories data is collected. Users are able to obtain the various location-based services by uploading their trajectories. In this paper, we address that a user’s movement behavior is able to discover by their similar shape trajectories and resulted in some ...

Wireless self-organizing networks such as mesh networks strive hard to get rid of mobility and radio propagation effects. Links – the basic elements ensuring connectivity in wireless networks – are impacted first from them. But what happens if one could mitigate these effects by forecasting the links’ future states? In this paper, we propose XCoPred (using Cross-Correlation to Predict), a patte...