Results 231 to 240 of about 3,325 (254)

Extrapolation from participatory sensing data

Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, 2013
In this demo, a learning system, called Metis, is presented that extrapolates missing pieces in participatory sensing data. The work addresses the challenge of incomplete coverage in participatory sensing applications, where lack of complete control over participant mobility and sensing patterns may create coverage gaps in space and in time.
Hengchang Liu, Siyu Gu, Chenji Pan, Wei Zheng 0011, Shen Li 0002, Shaohan Hu, Shiguang Wang, Dong Wang 0002, Md. Tanvir Al Amin, Lu Su 0001, Zhiheng Xie, Ramesh Govindan, Amotz Barnoy, Tarek F. Abdelzaher   +13 more
openaire   +1 more source

Participatory Sensing for Fighting Food Deserts

Proceedings of the 8th International Conference on Body Area Networks, 2013
We present a participatory sensing system, which collects food availability information in communities via individual food consumption information, for fighting food deserts. Users leverage the NutriSmart Android app developed to record food purchases and consumption choices. This information can then be aggregated and mapped across users.
Ashley Yu, Ani Nahapetian
openaire   +1 more source

Participatory sensing in Kenya :

African Journal of Science, Technology and Social Sciences
An increasing number of participatory sensing applications have been developed in recent years. Since these applications can be used for personal and community levels to address real world problems, the players of location based services (LBS) are already exploring their environment.
Dorothy Mwongeli Kalui, Geoffrey Muchiri Muketha, Jared Onsomu   +2 more
openaire   +1 more source

Participatory Sensing for Improving Urban Mobility

2013
Urban computing leverages mobile participatory and opportunistic sensing to monitor and provide continuous awareness of urban cities. CICESE Research Center offers students and staff an intra-campus transportation service called CICEMovil to help them get around campus.
Miguel Angel Ylizaliturri-Salcedo, Saul Delgadillo-Rodriguez, J. Antonio García-Macías, Monica Tentori   +3 more
openaire   +1 more source

Cost-Sharing Models in Participatory Sensing

2015
In Smart City and Participatory Sensing initiatives the key concept is for user communities to contribute sensor information and form a body of knowledge that can be exploited by innovative applications and data analytics services. A key aspect in all such platforms is that sensor information is not free but comes at a cost.
Georgios Birmpas, Costas Courcoubetis, Ioannis Giotis 0001, Evangelos Markakis 0001   +3 more
openaire   +1 more source

Privacy-Preserving Calibration for Participatory Sensing

2014
By leveraging sensors embedded in mobile devices, participatory sensing tries to create cost-effective, large-scale sensing systems. As these sensors are heterogeneous and low-cost, regular calibration is needed in order to obtain meaningful data. Due to the large scale, on-the-fly calibration utilizing stationary reference stations is preferred.
Kevin Wiesner, Florian Dorfmeister, Claudia Linnhoff-Popien   +2 more
openaire   +1 more source

Participatory Sensing

2014
Jan Höller, Vlasios Tsiatsis, Catherine Mulligan, Stamatis Karnouskos, Stefan Avesand, David Boyle   +5 more
openaire   +1 more source

Participatory Sensing

2019
Vlasios Tsiatsis, Stamatis Karnouskos, Jan Höller, David Boyle, Catherine Mulligan   +4 more
openaire   +1 more source

Big data management in participatory sensing: Issues, trends and future directions

Future Generation Computer Systems, 2020
Ahmad Karim, Aisha Siddiqa, Zanab Safdar   +2 more
exaly  

Participatory sense-making

Phenomenology and the Cognitive Sciences, 2007
Hanne De Jaegher, Ezequiel Di Paolo
openaire   +1 more source