Search results for " Environmental data"
showing 4 items of 4 documents
A survey on the microclimate in Palermo city using the public transport system
2006
This work presentes the results of an extensive survey on the microclimate in Palermo city using the public transport system
Monitoring the urban environment: developing a mixed (fix and mobile) observatory on the urban quality control
2005
An integrated network of monitoring was developed by the authors from 2002. A wide knowledge of the space and time distribution of the environmental data can be acquired integrating the network of fixed stations (were each environmental parameter is collected) with a number of sensors installed on public transport means (were, at the present time, only some parameters are collected). All citizens of the involved local governments will benefit from an increased awareness of environmental quality and their effects on health. The system could be considered as a decision support system and a tool of knowledge dissemination. The aims of the system is to define a standard protocol for monitoring …
Adaptable data models for scalable Ambient Intelligence scenarios
2011
In most real-life scenarios for Ambient Intelligence, the need arises for scalable simulations that provide reliable sensory data to be used in the preliminary design and test phases. This works present an approach to modeling data generated by a hybrid simulator for wireless sensor networks, where virtual nodes coexist with real ones. We apply our method to real data available from a public repository and show that we can compute reliable models for the quantities measured at a given reference site, and that such models are portable to different environments, so as to obtain a complete, scalable and reliable testing environment.
Empirical Orthogonal Function and Functional Data Analysis Procedures to Impute Long Gaps in Environmental Data
2016
Air pollution data sets are usually spatio-temporal multivariate data related to time series of different pollutants recorded by a monitoring network. To improve the estimate of functional data when missing values, and mainly long gaps, are present in the original data set, some procedures are here proposed considering jointly Functional Data Analysis and Empirical Orthogonal Function approaches. In order to compare and validate the proposed procedures, a simulation plan is carried out and some performance indicators are computed. The obtained results show that one of the proposed procedures works better than the others, providing a better reconstruction especially in presence of long gaps.