We investigate behavioral prediction approaches based on subspace methods such as principal component analysis (PCA) and independent component analysis (ICA). Moreover, we propose a personalized sequential prediction approach to predict next day behavior based on features extracted from past behavioral data using subspace methods. The proposed approach is applied to the individual call (voice c...

Real-time mobility is important for many real-world applications, e.g., transportation, urban planning, given different level administrative jurisdiction. However, most of the existing work focuses at small scale with limited data samples (e.g. region or city level with samples over all the taxis). Recently, with upgrades of transportation infrastructures, we have new opportunities to capture r...

New challenging deployment scenarios are integrating mobile devices with limited and heterogeneous capabilities that roam among wireless access localities during service provisioning. This calls for novel middleware solutions not only to support different forms of mobility and connectivity in wired-wireless integrated networks, but also to perform personalized service reconfiguration/adaptation...

Nano-scale zero valent iron (nZVI) has received significant attention because of its potential to rapidly reduce a number of priority source zone contaminants. In order to effectively deliver nZVI to the source zone the nZVI particles must be stable. Previous laboratory studies have demonstrated the mobility of polymer modified suspensions of low concentration nZVI. More recently studies have s...

Location-based services usually recommend new locations based on the user’s current location or a given destination. However, human mobility involves to a large extent routine behavior and visits to already visited locations. In this paper, we show how daily and weekly routines can be modeled with basic prediction techniques. We compare the methods based on their performance, entropy and correl...

objectives: it is important to recognize any risk factors for the development of injuries in the athletic population. the aim of this study was to investigate the association between joint hyper mobility and low back pain in iranian hyper mobile and non-hyper mobile athletes. methods: 50 athletic patients with low back pain (age=23.20±12.79 years) and 51 healthy athletes (age=24.28±13.70) from ...

A centralized collaborative system between nodes and Base Stations (BSs) is developed, and a new data replication scheme based on group and query prediction mobility scheme with Data Mining techniques is proposed. Utilizing the group mobility with the properties of data objects this new scheme (in various sites) minimizes the cost of remote access and improves the response time of the queries. ...

Mobility management represents one of the most important parts of the smart city concept. The way we travel, at what time of the day, for what purposes and with what transportation modes, have a pertinent impact on the overall quality of life in cities. To manage this process, detailed and comprehensive information on individuals' behaviour is needed as well as effective feedback/communication ...

Community mobility, defined as "moving [ones] self in the community and using public or private transportation", has a unique ability to promote older peoples' wellbeing by enabling independence and access to activity arenas for interaction with others. Early predictors of decreased community mobility among older men and women are useful in developing health promoting strategies. However, long-...