Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A noise map facilitates monitoring of environmental noise pollution in urban areas. It can raise citizen awareness of noise pollution levels, and aid in the development of mitigation strategies to cope with the adverse effects. Hover, state-of-the-art techniques for rendering noise maps in urban areas are expensive and rarely updated (months or even years), as they rely on population and traffic models rather than on real data. Participatory urban sensing can be leveraged to create an open and inexpensive platform for rendering up-to-date noise maps.   ,  present the design, implementation and performance evaluation of an  end-to-end  participatory urban noise mapping system called Ear-Phone. Ear-Phone, for the first time, leverages  Compressive Sensing  to address the fundamental problem of recovering the noise map from incomplete and random samples obtained by crowdsourcing data collection. Ear-Phone, implemented on Nokia N95 and HP iPAQ mobile devices, also addresses the challenge of collecting accurate noise pollution readings at a mobile device. Extensive simulations and outdoor experiments demonstrate that Ear-Phone is a feasible platform to assess noise pollution, incurring reasonable system resource consumption at mobile devices and providing high reconstruction accuracy of the noise map.
['Rajib Rana', 'Chun Tung Chou', 'Salil S. Kanhere', 'Nirupama Bulusu', 'Wen Hu']
I am writing a research paper on a idea Ear-phone: an end-to-end participatory urban noise mapping system
[{"from": "human", "value": "I am writing a research paper on a idea Ear-phone: an end-to-end participatory urban noise mapping system"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: A noise map facilitates monitoring of environmental noise pollution in urban areas. It can raise citizen awareness of noise pollution levels, and aid in the development of mitigation strategies to cope with the adverse effects. Hover, state-of-the-art techniques for rendering noise maps in urban areas are expensive and rarely updated (months or even years), as they rely on population and traffic models rather than on real data. Participatory urban sensing can be leveraged to create an open and inexpensive platform for rendering up-to-date noise maps.   ,  present the design, implementation and performance evaluation of an  end-to-end  participatory urban noise mapping system called Ear-Phone. Ear-Phone, for the first time, leverages  Compressive Sensing  to address the fundamental problem of recovering the noise map from incomplete and random samples obtained by crowdsourcing data collection. Ear-Phone, implemented on Nokia N95 and HP iPAQ mobile devices, also addresses the challenge of collecting accurate noise pollution readings at a mobile device. Extensive simulations and outdoor experiments demonstrate that Ear-Phone is a feasible platform to assess noise pollution, incurring reasonable system resource consumption at mobile devices and providing high reconstruction accuracy of the noise map."}]