Environmental noise monitoring using source classification in sensors

Sensors for Environmental Monitoring

Context awareness using environmental noise classification

Context-awareness is essential to the development of adaptive information systems. Environmental noise can provide a rich source of information about the current context. We describe our approach for automatically sensing and recognising noise from typical environments of daily life, such as office, car and city street. In this paper we present our hidden Markov model based noise classifier. We...

Innovative Sensors for Environmental Monitoring in Museums

Different physical and chemical factors, such as light, temperature, relative humidity, pollutants and so on, can affect works of art on display. Each factor does not act individually, but its effect can be enhanced or accelerated by the presence of other factors. Accordingly, an evaluation of the impact of the whole environment on art objects is recognized as an essential requirement for conse...

Special Issue: Sensors for Environmental Monitoring

This paper surveys the needs associated with environmental monitoring and longterm environmental stewardship. Emerging sensor technologies are reviewed to identify compatible technologies for various environmental monitoring applications. The contaminants that are considered in this report are grouped into the following categories: (1) metals, (2) radioisotopes, (3) volatile organic compounds, ...

Wireless Sensor Networks for Environmental Noise Monitoring

While environmental issues keep gaining increasing attention from the public opinion and policy makers, several experiments demonstrated the feasibility of wireless sensor networks to be used in a large variety of environmental monitoring applications. Focusing on the assessment of environmental noise pollution in urban areas, we provide qualitative considerations and preliminary experimental r...