Evaluating Accuracy Measures for Flight Delay Predictions: Minimizing

As the quality of air adversely effects the people¿s health, they have been paying more and more attention on the research of monitoring the concentration of pollutants in the air accurately and efficiently. Despite ample research on the detection of pollutant concentration in the air, public health and environmental policies still lack ability for designing an efficient system for monitoring the harmful gasses within vulnerable populations. The existing for remote monitoring of environmental conditions, mainly includes wireless sensing methods, GPS, robotics, IoT-based technologies. However, most of these solutions only address data collection and data observation. In order to tackle the problem of remote environment monitoring with avoiding health risks, it is imperative that the system should collect data via a self-sufficient robotic system and transfer observations to a cloud server remotely. An autonomous robotic system is proposed which is designed and implemented to monitor environmental parameters such as temperature, humidity, air quality, and harmful gas concentration. The mobile robot is controlled by a smartphone which runs an app built on the Android platform.