
doi: 10.1109/cit.2016.82
In recent years, air quality and environmental protection are getting more and more concern in public, much people are pay attention to air quality of their surroundings. As one of air pollution PM2.5 will be affected to human body directly, it was invisible to the naked eye. According to many epidemiological studies have demonstrated the health hazards of PM2.5, including early death, bronchitis, asthma, cardiovascular disease, lung cancer, and etc. Most of the current PM2.5 Sensor is fixed, and it cannot true reflection of the air quality of people surroundings. Thus, we want to implement Mobile PM2.5 Sensor (MPM) to detect air quality of user surroundings. At the same time, the MPM will send the air quality data to user's smart phone, then send user's GPS location and sensor data to cloud server to construct PM2.5 map by using Google Map API, anyone can get the current air quality information of the region of PM2.5 concentration through PM2.5 maps.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
