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Showing 1 to 12 of 12 for “"participatory sensing"”.

  1. Participatory sensing fuel-efficient navigation system GreenGPS

    … has led to increased interest in mobile participatory sensing. This paradigm enables low cost establishment of a wide range of applications in variety of domains, including environmental monitoring, transportation, safety, healthcare, social networks, urban sensing, etc. This thesis …

    uiuc Repository record for Participatory sensing fuel-efficient navigation system GreenGPS (opens in a new tab)

  2. Preserving Accuracy and Privacy in Participatory Sensing Systems

    Participatory Sensing (PS) is an approach that offers individuals and interest groups the opportunity to contribute to an application using their handheld sensor devices such as smartphones and tablets. These sensor devices are able to sense, collect available data and use cellular and Internet …

    queens Repository record for Preserving Accuracy and Privacy in Participatory Sensing Systems (opens in a new tab)

  3. StreetSmart : modeling vehicle fuel consumption with mobile phone sensor data through a participatory sensing framework

    … framework for the broader StreetSmart System, a participatory sensing network that will be used to crowdsource mass quantities of smartphone accelerometer and GPS data from drivers. We propose a system architecture and discuss problems of distribution, reliability, privacy, and other concerns. …

    mit Repository record for StreetSmart : modeling vehicle fuel consumption with mobile phone sensor data through a participatory sensing framework (opens in a new tab)

  4. Perturbation based privacy for time-series data

    This work is motivated by the emergence of participatory sensing applications, a new sensing paradigm that off-loads sensing responsibility from infrastructure sensors and professional sources to the crowd. This leads to unprecedented opportunities for sensory data collection and sharing. The …

    uiuc Repository record for Perturbation based privacy for time-series data (opens in a new tab)

  5. Modeling User Transportation Patterns Using Mobile Devices

    Participatory sensing frameworks use humans and their computing devices as a large mobile sensing network. Dramatic accessibility and affordability have turned mobile devices (smartphone and tablet computers) into the most popular computational machines in the world, exceeding laptops. By the end …

    ucf

  6. Street-level air quality : exploring the feasibility of a cyclist-led, crowdsourced map in Singapore and Mexico

    … map, whereby cyclists gather data through a participatory sensing process as they ride around the city. I explore two primary areas required for the successful creation of such an initiative: the state of the technology for portable air quality monitors, and the likelihood of cyclist …

    mit Repository record for Street-level air quality : exploring the feasibility of a cyclist-led, crowdsourced map in Singapore and Mexico (opens in a new tab)

  7. CEDAR: Collective Environmental Data Sensing using AR

    CEDAR (Collective Environmental Data Sensing using AR) investigates how participatory data visualisation, supported by Augmented Reality (AR), can enhance citizen science by fostering experiential, aesthetic, and situated engagement with environmental data. Situated at the intersection of citizen …

    arts-london Repository record for CEDAR: Collective Environmental Data Sensing using AR (opens in a new tab)

  8. Cyber-physical data distillation in a sensor rich world

    … Internet will be dominated by vast amount of sensing data. This thesis attacks a grand challenge in this vision: how to extract human-consumable information from such data? The prime contribution of this work is a framework called FusionSuite that facilitates the development of future …

    uiuc Repository record for Cyber-physical data distillation in a sensor rich world (opens in a new tab)

  9. Data Analytics-backed Vehicular Crowd-sensing for GPS-less Tracking in Public Transportation

    … deployed and configured for pre-defined sensing tasks whereas the latter exploits opportunistic and participatory sensing paradigms. With that motivation in mind, the contributions of this thesis are three-fold: \textit{(i)} Sensor emulation, \textit{(ii)} Crowd-sensing based GPS-less …

    ottawa-retro Repository record for Data Analytics-backed Vehicular Crowd-sensing for GPS-less Tracking in Public Transportation (opens in a new tab)

  10. Analysis of a custom android app designed to utilize cloud infrastructure in support of mobile sensor networks

    Mobile sensor networks offer unique advantages over their stationary counterparts in the area of anomalous radioactive source localization. Being mobile, the same number of sensors are capable of covering a much larger area than an equivalent number of stationary sensors. We have developed and …

    uiuc Repository record for Analysis of a custom android app designed to utilize cloud infrastructure in support of mobile sensor networks (opens in a new tab)

  11. Disruption-tolerant networking protocols and services for disaster response communication

    This thesis investigates, and contributes thereto, the promise of networking technologies and data processing techniques for efficient and effective information dissemination in the context of disasters. Disasters hinder usual communication experiences of people, and thereby calls for different …

    uiuc Repository record for Disruption-tolerant networking protocols and services for disaster response communication (opens in a new tab)