Inter-Floor Noise Monitoring System for Multi-Dwelling Houses Using Smartphones
نویسندگان
چکیده
منابع مشابه
Pulmonary Monitoring Using Smartphones
Pulmonary assessment is widely employed by medical professionals and has become an important marker of health. It is used for screening, diagnostics, and management of chronic pulmonary diseases like asthma, chronic bronchitis, and chronic obstructive pulmonary disease. However, pulmonary assessment has mostly been restricted to self-report and routine monitoring at a physicians office. Smartph...
متن کاملMapping Urban Environmental Noise Using Smartphones
Noise mapping is an effective method of visualizing and accessing noise pollution. In this paper, a noise-mapping method based on smartphones to effectively and easily measure environmental noise is proposed. By using this method, a noise map of an entire area can be created using limited measurement data. To achieve the measurement with certain precision, a set of methods was designed to calib...
متن کاملAccurate Ambient Noise Assessment Using Smartphones
Nowadays, smartphones have become ubiquitous and one of the main communication resources for human beings. Their widespread adoption was due to the huge technological progress and to the development of multiple useful applications. Their characteristics have also experienced a substantial improvement as they now integrate multiple sensors able to convert the smartphone into a flexible and multi...
متن کاملParticipatory Air Pollution Monitoring Using Smartphones
Air quality monitoring is extremely important as air pollution has a direct impact on human health. In this paper we introduce a low-power and low-cost mobile sensing system for participatory air quality monitoring. In contrast to traditional stationary air pollution monitoring stations, we present the design, implementation, and evaluation of GasMobile, a small and portable measurement system ...
متن کاملOn Noise Tracking for Noise Floor Estimation
Various speech enhancement techniques (e.g. noise suppression, dereverberation) rely on the knowledge of the statistics of the clean signal and the noise process. In practice, however, these statistics are not explicitly available, and the overall enhancement accuracy critically depends on the estimation quality of the unknown statistics. With this respect, subspace based approaches have shown ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sustainability
سال: 2020
ISSN: 2071-1050
DOI: 10.3390/su12125065