Category Archive: 'M.E Network Project'
User-contributed or crowd-sourced information is becoming increasingly common. In this paper, we consider the specific case of participatory sensing whereby people contribute information captured bysensors, typically those on a smartphone, and share the information with others. We propose a new metric called quality of contributed service (QCS) which characterizes the information quality and timeliness of […]
We introduce a new tendency measure for a probability mass function (pmf) referred to as “tenor,” and defined in terms of the phase of the first non-zero frequency of the discrete Fourier transform of the pmf. This statistic is in the vicinity of the region of highest probability of the pmf. Unlike mean, tenor is […]
Developing science-based strategies to best balance estuarine use and resilience is critical to a sustainable earth, but is also challenging. To meet the challenge, we created for the Columbia River estuary, in the United States, a distinctive scientific infrastructure that we term “collaboratory.” We define collaboratory as a networked integration of sensors, platforms, models, data, analyses, and collaboration […]
Location-aware applications have been used widely with the assistance of the latest positioning features in Smart Phone such as GPS, AGPS, etc. However, all the existing applications gather users’ geographical data and transfer them into the pertinent information to give meaning and value. For this kind of solutions, the user’s privacy and security issues might […]
Big data as name implies that data that’s in large as nature, is known as big data. Big data is used to describe a large volume of structure way. Big Data concern large-amount, complex, growing data sets with multiple, autonomous sources, networking, data storage, and data collection capacity, These data are rapidly expanding in all science […]
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